0:08 what's up ninja nerds in this video
0:10 today we are going to be talking about pharmacodynamics
0:11 pharmacodynamics
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0:15 this i truly strongly urge you guys go
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0:22 but even better some illustrations that
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0:37 subscribe now let's talk about pharmacodynamics
0:38 pharmacodynamics
0:40 when we talk about pharmacodynamics it's
0:42 basically a very interesting concept
0:44 that we're going to pick up from
0:46 pharmacokinetics so if you guys remember
0:48 from pharmacokinetics really basic
0:52 the adme the absorption of the drug the
0:54 distribution of the drug the metabolism
0:55 of the drug and the excretion of the
0:56 drug were all a part of the
0:59 pharmacokinetics where you take a drug
1:00 and we said in a perfect world let's say
1:04 that we take it orally po moves through
1:06 the gastrointestinal tract has to be
1:07 absorbed so it has to cross cell
1:10 membranes when it crosses cell membranes
1:12 to get into the blood
1:14 it goes into the hepatic portal system
1:17 the hepatic portal system will then take
1:19 this medication to the liver the liver
1:21 will always if it goes via the oral
1:24 route will get some piece of that drug
1:26 where it can activate or you know break
1:28 down some of the actual drugs so it'll
1:30 have what's called first pass effect or
1:32 first pass metabolism
1:33 so then what it'll do is some of that
1:35 drug it may metabolize and then the
1:38 other remaining portions it'll put into
1:40 the systemic circulation from there we
1:42 know once the drug goes it'll actually
1:44 distribute throughout the actual
1:46 vasculature and into the tissues where
1:48 it can go and exert its effect
1:49 this here is where we're going to see
1:51 the pharmacodynamic effect but if you
1:52 guys remember finishing off the pharmacokinetics
1:54 pharmacokinetics
1:55 after a drug is done performing its
1:57 particular function or it's moving
1:59 through the circulation it can be taken
2:01 to the kidneys where it can be excreted
2:02 or it can be taken to the liver where it
2:05 can be metabolized and also excreted and
2:07 these are the primary organs of
2:09 clearance of the drug
2:11 now whenever the drug gets to the actual
2:14 tissues what we can see is what the drug
2:15 does to the actual body whereas
2:17 pharmacokinetics is like
2:19 you know what the body is actually doing
2:21 to the drug if you will so now we have
2:23 to see what does this drug actually do
2:25 to the body particularly the cellular
2:27 component of our tissues or organs
2:29 subsequently so if we take and we
2:31 actually look and zoom in at this drug
2:33 interaction here we're going to look at
2:35 one of these particular cells so here's
2:37 our drug in order for a drug to be able
2:39 to bind to a cell and produce a
2:42 particular cellular response
2:45 it needs to be able to act on a receptor
2:47 right so there needs to be a receptor
2:49 that the drug can actually bind to once
2:51 it binds to that receptor it'll then
2:54 produce a particular cascade of events
2:56 intracellularly that activate the cell
2:58 or inhibit the cell and cause it to
2:59 produce the appropriate cellular
3:01 response so some drugs are working to
3:03 inhibit the cells some drugs are working
3:05 to stimulate the cell either way that is
3:07 the cellular response in order for the
3:10 drug to do that it has to bind either 2a
3:12 extracellular receptor we'll put ec
3:15 receptor and then via second messenger
3:17 systems work to be able to stimulate
3:19 second messages to produce the cellular response
3:20 response
3:23 or the drug has to be able to move into
3:26 the cell and bind onto a intracellular receptor
3:27 receptor
3:29 where it will then again produce a
3:31 cellular response via a specific cascade
3:35 of events what we have to understand now
3:37 is if we take this drug and have it bind
3:39 onto extracellular receptors what are
3:41 the different types of extracellular
3:43 receptors and why are they different
3:45 what are some examples of drugs that act
3:47 with different types of receptors and
3:48 then we talk about the intracellular
3:50 receptors and what kind of drugs
3:52 particularly interact that way we're not
3:53 going to go down the crazy rabbit hole
3:55 of signal transduction and intracellular
3:57 receptor pathways we talk about that in
3:59 cellular biology but it's just enough
4:02 for us to understand the basic concept
4:03 here and the last thing we'll do is
4:04 we'll talk about something called
4:06 desensitization also known as
4:08 tachyphylaxis intolerance with respect
4:11 to drug receptor interactions all right
4:13 so let's come and now talk about when we
4:15 have a drug interacting with a receptor
4:17 let's say an extracellular receptor what happens
4:18 happens
4:20 all right so we have different types of
4:22 extracellular receptors
4:23 first one that i want you guys to
4:24 remember is drugs can actually bind onto
4:26 extracellular receptors that are poor
4:28 what's called a ligand ligand-gated
4:29 ion channel it's actually pretty
4:31 straightforward let's say here i have a
4:33 neuron on this neuron i have these
4:35 particular channels if you will that are
4:37 supposed to allow for maybe particular
4:39 ions maybe positive ions to flow in
4:41 maybe negative ions to flow in maybe
4:43 positive ions to flow either way it's
4:46 some kind of concept like that there's a
4:48 little gate if you will
4:50 that's basically
4:52 controlling the entry of drugs so
4:53 there's these ions are not going to be
4:56 able to allow for these this gate is
4:58 blocking these ions from moving into the
4:59 actual cell
5:02 but if i give a particular drug
5:04 that wants to bind into this little
5:06 pocket here that's a part of the
5:08 ligand-gated ion channel and once it
5:11 binds onto that pocket it lifts the gate open
5:12 open
5:14 and now this gate that was completely closed
5:15 closed
5:18 is open and there's an opportunity for
5:22 the particular ions to easily flow in or
5:24 out of this neuron
5:26 and now this is actually a really cool
5:28 concept for example let me tell you an
5:30 example of a particular drug here let's
5:31 say i have
5:33 a drug
5:34 such as
5:38 lorazepam so lorazepam
5:40 is really interesting because lorazepam
5:43 acts on what's called gaba a receptors
5:45 so it'll work on what's called gaba a
5:46 a
5:48 receptors now gaba a receptors are
5:50 ligand-gated ion channels so let's
5:52 pretend this black dot here is gaba
5:53 gaba
5:56 when gaba binds on to these channels
5:58 these channels are generally closed
6:00 we don't want them to be open but when
6:03 gaba binds to it what it'll do is it'll
6:05 open up the channel and allow for
6:08 negatively charged chloride ions
6:10 to easily flow
6:11 flow
6:14 into the actual neuron
6:16 and as these chloride ions inflow into
6:18 the neuron it makes the cell super
6:21 negative and it basically hyper
6:23 polarizes it and decreases action
6:25 potentials you want to know why this is
6:27 interesting we can give lorazepam in
6:28 situations where you want to decrease
6:30 the activity of neurons you know where
6:32 that would be a very important situation
6:35 seizures so it may be able to work to
6:38 inhibit or decrease seizure activity so
6:40 that's kind of one example
6:42 of how drugs can work at the receptor
6:45 and produce a cellular response is they
6:47 bind onto a ligand-gated ion channel
6:49 either open that channel close that
6:51 channel and then depending upon what
6:52 kind of channel they bind onto will
6:54 determine which kind of ion flows in or
6:56 out and then the associated cellular
6:58 response so you get you see how that
6:59 happens there
7:01 all right so the next situation here
7:02 that we have to talk about where a drug
7:04 can bind to an extracellular receptor
7:06 and produce the cellular response
7:07 is not the ally and data but it can be
7:09 via what's called g-protein-coupled
7:12 receptors this is also pretty cool
7:14 so g-protein-coupled receptors are
7:16 what's called seven pass receptors
7:19 or serpentine receptors and basically it
7:21 has a little receptor domain where the
7:23 drug combines so this is the receptor
7:24 domain so where a drug would actually
7:26 bind into that pocket and then there's
7:28 these like you see how it actually moves
7:29 through the actual membrane seven times
7:32 one two three four five six seven that's
7:34 why they call it a seven pass
7:36 transmembrane receptor
7:38 what happens is
7:41 drugs can actually bind onto
7:44 these particular receptor domain when it
7:46 binds on to the receptor domain of each
7:48 one of these little pockets here of this
7:50 g protein coupled receptor what it does
7:53 is it changes the shape of the actual
7:55 receptor it changes the shape of this
7:57 intracellular domain if you will now
7:59 this intracellular domain is connected
8:02 to something called a g protein so it's
8:04 connected to something called a g
8:06 protein and there's different types of g
8:08 proteins if you will
8:09 so here i'm going to have a g protein
8:10 for each one
8:13 one of the g proteins
8:15 may be what's called gq
8:18 so gq and what gq is it's a very
8:20 interesting type of g protein so let's
8:21 say that we have a drug binds to this
8:24 receptor domain changes the shape of the receptor
8:25 receptor
8:27 and then what it does is it stimulates a
8:29 particular g protein now g proteins
8:31 normally they're bound to something called
8:32 called
8:34 gdp but what we're going to do is we
8:36 want to activate this even more
8:38 so what we do is we have them pop out
8:43 gdp and have them bind what's called gtp
8:46 and this really stimulates this gq protein
8:47 protein
8:49 what gq will do then is it'll move along
8:52 the cell membrane and stimulate
8:55 this enzyme okay that's embedded into
8:56 the cell membrane you know what this
8:58 enzyme is called it's a very important
8:59 one for you guys to remember especially
9:03 for this it's called phospholipase c
9:05 and what phospholipase c will do is is
9:07 it'll break down different components of
9:11 the cell membrane a molecule called pip2
9:13 it'll break it down into two components
9:16 one is called diacylglycerol and the
9:19 other one is called ionocytotriphosphate
9:21 and what these things do is is this will
9:23 activate something called a protein
9:25 kinase particularly a protein kinase c
9:28 and this will work to increase calcium
9:30 ions inside of the cell
9:31 what this may do is you might be like
9:32 okay zach i have no idea what the
9:34 significance of this is
9:36 protein kinases you know what's really
9:37 interesting about these is they
9:40 phosphorylate things so if there's let's
9:42 say channels that are on the cell
9:44 membrane that currently
9:47 currently they're inactivated
9:50 currently they're inactivated but i
9:52 have this drug bind to this receptor
9:54 activate this gq protein
9:56 it then activates this enzyme which
9:58 activates these second messengers like
10:00 diacetyl glycerol or inositol
10:02 triphosphate what do they do well this
10:03 will increase calcium let me explain why
10:05 this could be cool
10:07 protein kinase c can then go
10:10 and phosphorylate all of these channels
10:13 if it adds a phosphate group to these
10:14 channels it may activate them or
10:16 inactivate them let's say it activates them
10:16 them
10:18 if it activates them it opens them up so
10:22 allow for maybe positive ions to easily
10:24 flow into the cell
10:25 bringing positive ions into the cell
10:28 could potentially stimulate this cell
10:30 let's give an example
10:32 let's say i have a drug here like
10:35 norepinephrine here's norepinephrine and
10:36 i want norepinephrine to act on the
10:38 heart cells the heart muscle
10:40 what norepinephrine will do is it'll
10:42 bind onto this receptor activate the gq
10:45 protein activate this enzyme
10:47 diacetyl glycerol phospho protein
10:49 kinases will go phosphorylate particular
10:51 channels to increase calcium ion influx
10:52 or sodium ion influx
10:55 and anesthetic triphosphate will
10:57 activate what's called your smooth er or
10:59 in this case the rough endoplasm i'm
11:00 sorry the particular endoplasmic reticulum
11:02 reticulum
11:03 to activate or the sarcoplasmic
11:06 reticulum to release calcium into the
11:08 actual muscle cell the whole concept is
11:10 that i increase ions inside the muscle
11:12 cell particularly calcium i'm going to
11:14 increase the contraction of the heart
11:16 muscle cell so you guys see the clinical
11:18 response if this was norepinephrine
11:20 working on the heart muscle cell it
11:21 would increase the amount of ions
11:23 rushing into the cell stimulating its
11:25 ability to contract that's the whole
11:28 concept of its cellular response so the
11:30 cellular response for this if this was a
11:32 heart muscle
11:36 would be that it would increase
11:38 contraction do you guys get the whole
11:40 point here right so the same concept
11:43 exists for these other two components
11:45 so there was a gq protein guess what we
11:47 can actually make our lives a little bit
11:49 easier for these two there's a g
11:52 stimulatory protein and a g
11:53 inhibitory protein
11:55 so what i'm going to do is i'm going to
11:56 explain this one and this one is the g
11:58 inhibitor is the exact opposite so let's
12:00 say i have another drug
12:02 this drug binds to this receptor
12:04 when it binds to this receptor the
12:06 receptor changes its shape
12:09 it then activates the g-stimulatory
12:11 protein in order for this protein to be
12:14 truly activated needs to get rid of gdp
12:15 gdp
12:17 and bind on to gtp
12:19 gtp
12:21 then when it's super activated it then
12:22 will go
12:25 move along the cell membrane and
12:27 stimulate this particular enzyme
12:28 embedded in the cell membrane which is called
12:29 called
12:32 adenylate cyclase
12:35 adenylate cyclase adenylate cyclase is a
12:36 really interesting enzyme once it's
12:40 activated it takes atp
12:43 and converts it into cyclic amp
12:45 and cyclic amp will activate a molecule
12:47 called protein kinase a what do we say
12:49 protein kinase a does
12:52 it phosphorylates things so if there's
12:53 particular channels that are on this
12:55 particular cell membrane
12:57 it may go
12:59 and phosphorylate this cell membrane and
13:01 if it phosphorylates these proteins on
13:03 the cell membrane it can either open up
13:06 the ion channel or close the ion channel
13:08 either way ions will move in or out of
13:10 the cell it'll potentially cause some
13:12 cellular response this could be
13:14 norepinephrine as well acting on a heart
13:15 muscle cell it can do both of these
13:18 concepts here but you get the point it's
13:19 going to be causing some type of a
13:22 cellular response now
13:24 with that being said
13:27 g inhibitory is just the opposite
13:28 you have a drug
13:30 it binds to this g protein coupled
13:33 receptor changes its shape
13:36 activates a g inhibitory protein
13:37 the g inhibitory protein will then
13:39 release a
13:42 gdp and bind a gtp
13:45 this g inhibitory protein will then go
13:46 and inhibit
13:48 it'll inhibit this enzyme the same
13:51 enzyme here which is adenylate cyclase
13:53 cyclase
13:54 the adenylate cyclase is supposed to
13:56 convert atp into
13:59 cyclic amp and then supposed to activate
14:00 protein kinase a
14:03 which is then supposed to do what
14:06 maybe go and phosphorylate specific
14:07 types of proteins this could be
14:09 structural proteins these could be
14:10 enzymatic proteins or functional
14:12 proteins any kind of protein you can
14:13 think of it can go
14:15 and phosphorylate
14:17 which could either inactivate or
14:19 activate the particular protein or enzyme
14:20 enzyme
14:22 in this situation with g-inhibitory
14:25 protein you inhibit adenylate cyclase
14:28 you inhibit the ability to convert atp
14:31 into cyclic amp you decrease protein
14:33 kinase a you decrease the
14:34 phosphorylation of these particular
14:37 proteins and again depending upon what
14:39 you're looking for this could produce a
14:41 particular cellular response so when a
14:43 drug interacts with a receptor to
14:45 produce a cellular response it either
14:47 can act on a ligand-gated ion channel
14:49 binding to a spot opening up the channel
14:51 closing the channel one of the two which
14:53 produces a cellular response or
14:56 it can bind to a protein that is
14:58 connected on the outside of it changes
15:00 the shape of the protein the morphology
15:02 of the protein that activates second
15:05 messenger systems to produce a cellular
15:07 response what's the last one
15:09 the last one for extracellular receptors
15:10 is what's called a tyrosine kinase
15:12 receptor it's the same concept here i
15:15 have a receptor on the out outside here
15:16 and i'm going to have a particular drug
15:17 let's just say for example i pick
15:19 something like insulin
15:23 insulin will bind to this receptor now
15:24 now
15:25 because insulin will bind to this
15:27 receptor domain what happened is in
15:29 g-protein it changed its morphology right
15:30 right
15:32 when you bind to this what it does is it
15:34 activates these like enzymes that are a
15:36 part of the receptor you see these blue
15:38 components here these are called your
15:42 tyrosine kinases and so on this kind of
15:44 receptor there's these little residues
15:46 called tyrosine residues they're little
15:48 amino acids
15:51 when insulin binds on to this receptor
15:55 the receptor kinases become activated
15:57 and what they do is
15:59 they cross phosphorylate so this
16:02 tyrosine kinase will phosphorylate
16:04 these tyrosine residues and this
16:07 tyrosine kinase will phosphorylate these
16:09 tyrosine residues
16:12 once you phosphorylate these it causes
16:15 them to have a change in their structure
16:17 once you change the structure it then
16:19 makes it easier for these guys to be
16:22 able to bind to specific types of
16:24 proteins or second messengers and when
16:26 that happens these second messengers
16:28 that you're going to activate will go
16:31 down and do the same thing
16:35 that the protein kinases or the ionosol
16:37 tile for triphosphate or all of these
16:39 other molecules cyclic amp it's going to
16:41 act like a second messenger which will
16:43 produce the cellular response so this is
16:45 an important concept so we can have
16:47 three extracellular receptor pathways
16:48 that i want you guys to remember that a
16:50 drug can work on the cell to produce a
16:53 cellular response through one
16:55 ligand-gated ion channels
16:58 two g-protein coupled receptors three
17:00 tyrosine kinase receptors now
17:02 this is particularly important that i
17:04 want you guys to remember for
17:06 ligand-gated g-protein coupled receptors
17:08 and tyrosine kinase receptors this is
17:10 for what kind of drugs here's what i
17:11 really want you to remember this is specifically
17:13 specifically for
17:14 for hydrophilic
17:21 large
17:24 drugs i want you to remember that
17:26 these drugs that are hydrophilic they're
17:27 large they're not going to be able to
17:29 move through the cell membrane and act
17:30 on different types of receptors in the
17:33 cell they're also polar they're charged
17:34 they're not going to be able to crash
17:36 through the phospholipid bilayer but if
17:38 i talk about intracellular receptors my
17:40 friend those are hydrophobic those are
17:42 small molecules those are non-polar they
17:44 can easily pass across the cell membrane
17:46 and bind to intracellular receptors
17:47 don't forget that let's talk about that
17:48 now all right so when we talk about
17:50 intracellular receptors what did i tell
17:52 you remember for intracellular receptors
17:54 this is for what kind of drugs this is
17:57 for drugs that are hydrophobic or lipid
18:01 soluble non-polar and small drugs
18:04 because of that these drugs such as
18:06 steroids nitric oxide things of that
18:08 nature so examples of this would be
18:09 something like maybe like a
18:12 corticosteroid so if someone's taking
18:14 some type of steroid of some kind
18:16 corticosteroid mineral mineral corticoid
18:19 one of those some type of steroid drug
18:21 or maybe even they contain something
18:23 like a nitric oxide molecule
18:25 these drugs are small enough or
18:27 hydrophobic enough that they can cross
18:29 right through the cell membrane
18:30 because they can cross right through the
18:33 cell membrane they can bind onto an
18:34 intracellular receptor
18:36 when they bind onto the intracellular
18:38 receptor that receptor can then
18:40 translocate into the nucleus where it'll
18:43 bind to you see these like little
18:44 turquoise proteins here that are
18:46 connected with the dna these are called
18:49 transcription factors
18:51 transcription factors obviously regulate
18:53 the degree of transcription of dna
18:55 converting dna into
18:57 rna because rna is important to be able
18:58 to make proteins
19:00 proteins so
19:01 so
19:02 if i give a particular drug that
19:04 activates this receptor intracellular
19:07 receptor then goes and translocates and
19:09 works to stimulate a transcription
19:12 factor i can then increase the
19:14 transcription process of making more rna
19:16 making more proteins to produce a
19:17 cellular response
19:19 so this is an important thing to think
19:20 about also
19:23 this pathway of intracellular receptors
19:26 takes time it may take some time to be
19:27 able to produce this response in
19:29 comparison to extracellular that's a lot
19:31 faster and more amplified so there's a
19:34 lot of amplification one drug can
19:36 activate multiple second messenger
19:37 system producing a massive clinical response
19:38 response
19:41 this you have one drug interacting with
19:43 one receptor which will take some time
19:45 for it to trigger this transcription
19:47 process protein synthesis process and
19:48 kick into high gear so that's an
19:50 important thing to remember this is a
19:51 little bit quicker but it can stay
19:53 around a lot stay around for a very very
19:56 long time this takes some time to be
19:58 able to produce a very good clinical effect
19:59 effect
20:00 all right so that's your intracellular
20:02 receptor pathways between drugs and
20:04 receptor interaction all right so when
20:05 we talk about this next concept is a
20:07 very interesting concept called
20:08 tachyphylaxis intolerance it's really
20:09 important when drug receptor interactions
20:10 interactions
20:12 so when a drug works on a receptor
20:13 whether it's an extracellular receptor
20:15 intracellular receptor and produces a
20:18 cellular response what can happen is is
20:20 when a patient is exposed to maybe a
20:22 particular dose of a drug maybe a lot of
20:23 it let's say that you give a very large
20:25 dose of a particular drug and what
20:28 happens is that drug will bind on to
20:30 many different receptors and keep trying
20:32 to stimulate the living crap out of this
20:33 cell producing a massive cellular response
20:35 response
20:37 what happens is when you produce this
20:38 massive cellular response and again
20:39 here's the key term i need you to
20:40 remember that it could come up on the
20:46 exam for tachyphylaxis is it is a rapid
20:50 type of response so a rapid response to
20:52 maybe a initial dose maybe you gave a
20:56 very a large initial dose of a drug and
20:58 it caused a very intense stimulation of
20:59 the cell
21:01 because these drugs are binding on to
21:03 many many different receptors the cell's like
21:04 like
21:07 whoa bro you're stimulating way too
21:09 intensely i got to protect myself here
21:11 so what i'm going to do is is i'm going
21:14 to desensitize myself to how much drug
21:16 is actually out there right now and so
21:17 the way it does this is very very
21:19 interesting has a couple of different mechanisms
21:20 mechanisms one
21:21 one
21:23 is it can say okay what i'm going to do
21:25 is i'm making these receptors right so
21:27 what i'm going to do is
21:29 is since i have to make these receptors
21:31 to plug them into the actual cell
21:32 membrane what i'm going to do is i'm
21:35 going to decrease the synthesis of these
21:38 receptors so this pathway is decreased
21:40 or inhibited so there's less receptors
21:42 that are actually available for the drug
21:43 to bind to so one of the ways that i can
21:45 do this is i can decrease the number of
21:47 receptors so there could be drug out
21:50 here trying to be able to produce this
21:52 clinical effect but there's no receptor
21:54 for it to bind to
21:55 the second thing that it can do which is
21:57 also pretty cool here
21:59 is they can also
22:02 work particularly to have specific
22:04 enzymes if you will maybe there are
22:07 specific types of enzymes
22:09 and what these enzymes will do is maybe
22:11 they're like kinases of some type
22:14 they'll add phosphate residues
22:17 onto this particular receptor and what
22:20 it does is it inhibits or inactivates
22:21 the receptor because you know what
22:24 happens is certain kinases what these
22:26 kinases could do is they could phosphorylate
22:28 phosphorylate
22:30 these particular receptors right and
22:32 when they phosphorylate them what it
22:35 does is it actually tags them and then a
22:37 protein called arrestin so a protein
22:38 called arrested if you just wanted to
22:39 think about it let's say i have a
22:40 protein here
22:42 and purple
22:44 once these receptors get phosphorylated
22:47 this protein called arrestin will bind
22:49 with that and basically say hey these
22:52 receptors no good inactivate them don't
22:54 let them respond to a particular drug
22:55 and then eventually they get internalized
22:56 internalized
22:58 but again we're inhibiting it so even if
23:00 the drug is present it's not going to be
23:01 able to work on the receptor because the
23:03 receptor is arrested in the phase of
23:05 inactivation pretty cool right
23:07 the third thing that this actual
23:10 receptor and drug interaction can do is
23:12 we can say okay bro
23:13 way too much stimulation what i'm going
23:15 to do is is i'm going to take this
23:18 receptor and i'm going to internalize
23:20 the receptor via an endocytosis
23:22 mechanism i'm going to bring this receptor
23:23 receptor
23:25 into the actual cell and if i bring this
23:28 receptor into the cell you won't be able
23:31 to stimulate him so therefore i down
23:33 regulate my number of receptors so i can
23:34 do three things via this process of tachyphylaxis
23:36 tachyphylaxis one
23:37 one
23:39 is i can internalize my receptors
23:42 two i can inactivate the receptors by
23:44 phosphorylating them and then having a
23:46 rest and protein bind to them the third
23:48 way is i can decrease the synthesis of
23:50 these actual receptors and the whole
23:54 purpose is trying to have a less
23:55 significant cellular response in
23:57 response to a rapid
23:59 dose a rapid response to a very high
24:01 dose of a drug very very quickly so
24:02 that's a very important thing to be able
24:04 to remember
24:07 now with tachyphylaxis the other thing
24:08 that's important to remember that
24:10 sometimes they'll ask you is between
24:12 tachyphylaxis and tolerance
24:14 if i increase the concentration of the
24:17 drug will it change the actual cellular response
24:18 response
24:20 it's important to remember that it won't
24:23 so the reason why is because i'm getting
24:24 rid of particular receptors i'm
24:25 decreasing the synthesis of the
24:27 receptors or i'm inactivating the receptors
24:28 receptors
24:31 tolerance is a little bit different tolerance
24:32 tolerance
24:35 is usually more of a
24:37 chronic response so usually just a
24:40 chronic response it's over
24:42 you know weeks for let's say just say
24:43 for example weeks
24:45 or let's even be a little bit more you
24:48 know less intense here let's say hours
24:51 days weeks whatever we can go hours
24:53 to weeks so it's way more delayed it's
24:55 not the initial dose so it's a chronic
24:58 response it's over time okay so it's
24:59 important to remember that this is
25:03 usually just repeated exposure to a drug
25:05 so repeated exposure
25:07 to a particular drug it's not like a
25:09 one-time initial rapid response this is
25:11 chronic exposure you're being exposed to
25:14 a drug constantly every single day for a
25:15 long period of time
25:18 this response develops over a decent
25:20 amount of time this doesn't happen
25:22 rapidly or initially it's usually over time
25:23 time
25:25 what happens is the same concept here
25:27 you have a drug that you're exposed to
25:29 it's basically
25:31 binding on to these particular receptors
25:33 and trying to cause this excessive
25:35 stimulation of the receptors
25:37 your cell says yo bro can't handle all
25:39 this we need to be able to change this
25:41 up a little bit it does all the same
25:42 kinds of things it says okay what i'm
25:45 going to do is i'm not going to make as
25:47 many of these particular proteins i'm
25:49 going to internalize
25:51 these actual receptor proteins so it's
25:53 going to do two things just like we did
25:55 up here above it's going to internalize
25:56 and it's also going to reduce the
25:58 synthesis of these particular proteins
26:00 right so this process is inhibited and
26:02 this process is actually going to be
26:03 also occurring
26:05 the other thing that happens is it
26:06 doesn't do this arrestin type of process
26:08 where it phosphorylates it do something
26:10 else you know that drugs
26:13 sometimes they need to be metabolized by
26:15 particular enzymes
26:17 so sometimes drugs are metabolized
26:19 especially think about alcohol
26:21 in that sense sometimes drugs need to be
26:24 metabolized by particular enzymes so
26:26 here's this enzyme here
26:28 what happens is if what if i'm exposed
26:31 to a drug and i increase the number of
26:33 enzymes so i'm going to increase the
26:34 number of metabolic enzymes that
26:37 basically works to break down that drug
26:39 and patients who have tolerance what
26:42 happens is when they're exposed to this
26:44 drug over a long period of time chronic
26:47 exposure repeated doses what we do is we
26:49 increase the number of metabolic enzymes
26:51 and what these metabolic enzymes will do
26:53 is it'll continue to keep breaking down
26:56 the drug so it'll keep breaking down the drug
26:57 drug
26:59 all right
27:01 and that'll reduce the actual efficacy
27:02 of the drug that'll reduce the response
27:04 that the actual drug can produce on the
27:07 body and so that's the whole point is
27:08 trying to be able to have a compensation
27:11 mechanism what's important to remember
27:14 though is is i can overcome the activity
27:16 of this enzyme if i over saturate the
27:18 enzyme so if i increase the number of
27:20 metabolic enzymes theoretically if i
27:23 increase the drug dosage super super
27:25 high eventually causes this enzyme to be
27:26 so saturated where they'll still be drug
27:28 left over that it won't be able to break
27:29 down and metabolize
27:30 and so one of the big things with
27:33 tolerance is that if you increase the
27:40 you can overcome
27:44 the decreased response slash effect
27:46 and that is an important concept the
27:48 reason why is
27:50 tolerance is an example of something
27:53 like opioid over opioid abuse so if a
27:55 patient is taking opioids they're
27:57 exposed to opioids chronically what
27:59 happens is that continuous opioid kind
28:01 of working on the particular cells will
28:03 cause this excessive activity of the
28:05 cells to again a diminished pain
28:07 response what will happen is particular
28:09 cells will try to develop a particular
28:11 way of metabolizing that drug a little
28:13 bit easier quickly
28:14 and because of that maybe what you have
28:16 to do is because you're metabolizing or
28:17 your receptors are becoming less
28:20 sensitive is you need to increase the
28:22 number of drug to be able to work on
28:24 these receptors or overcome the
28:26 metabolic enzymes to produce the same
28:28 clinical effect and this is a very
28:29 important concept with things like
28:32 opioid overdose or alcohol opioid abuse
28:35 alcohol abuse cocaine methamphetamines
28:36 things of that nature all right that
28:38 covers tachyphylaxis intolerance now
28:40 what i need to do is we need to say okay
28:42 we take a drug it interacts with the
28:44 particular receptor when it binds with
28:46 that receptor what's the affinity that
28:48 the receptor has between the drug so
28:50 what's the the bondage the actual
28:52 connection between them how strong is
28:53 the actual connection between the
28:56 receptor and the drug and the next thing
28:58 is what's the maximum clinical effect
29:00 that that drug receptor interaction can
29:01 produce and then we'll talk about some
29:03 other things called therapeutic index
29:04 all right my friend so now we're going
29:05 to talk about what's called the dose
29:07 response relationship so this is
29:08 actually a pretty cool concept and it's
29:09 going to be something that you'll
29:11 definitely be tested on so you have to
29:13 know this for your exam especially for
29:14 the step one
29:15 so when we talk about this we're going
29:16 to have two curves here that are going
29:18 to compare two particular components one
29:19 thing is we're going to talk about the
29:21 potency of the drug and the other things
29:22 we're going to talk about is the
29:24 efficacy of the drug and we'll have some
29:25 quick kind of clinical points in there
29:27 and the big pearls to take out of this
29:29 so on this type of graph here on the
29:31 x-axis what i want you to remember is
29:32 whenever you see these types of graphs
29:34 on your questions or on your exam on the
29:36 x-axis we're taking the concentration of
29:38 the drug or the dosage of the drug
29:40 particularly but you know on a
29:43 logarithmic scale and then on the y-axis
29:45 you're looking at the response of the
29:48 actual drug dosages therefore it's the
29:52 dose response curve or relationship now
29:53 what's really important is when we're
29:55 talking about these curves let's
29:57 actually say that we have
29:59 the same concept here so we're going to
30:01 have in black here we're going to have
30:02 we give a drug we give a particular
30:05 dosage of a drug what happens is when
30:07 you start off with the low dosage of the
30:09 drug only small amounts of drug are
30:11 going to bind on to a very little of
30:14 these receptors okay so what happens is
30:15 if you only have a little bit of drug
30:17 only binding onto a few out of the tons
30:19 of receptors that you have the clinical
30:21 response that you're going to see is
30:22 pretty minimal
30:23 and so what we'll see here is we'll see
30:26 like a pretty like flattish curve
30:28 but then what happens is as you start to
30:30 have more drug binding onto more
30:33 receptor you start seeing what you start
30:36 seeing an increase in the response
30:39 now what's really really interesting
30:42 is that as i have more and more and more
30:44 drug that's actually increasing based
30:46 upon an increase in the drug dosage
30:48 eventually all of these receptors are
30:51 going to become saturated with drug
30:53 and no matter how much more drug i give
30:55 there's not going to be enough receptors
30:58 for that drug to bind to to produce
31:01 a cellular
31:03 response so therefore
31:06 it'll plateau or remain constant that
31:08 cellular response because all of my
31:10 receptors are saturated and activated
31:12 and so because of that what we'll see is
31:14 we'll see this kind of trail off and
31:16 become flat
31:18 that's a very important concept so we
31:19 kind of say this kind of looks like an
31:23 s-shaped curve or a sigmoidal curve and
31:25 again the first component here is where
31:27 it's initially flat that again is
31:28 whenever there's very little drug
31:31 binding on to not very many receptors so
31:32 we're not producing a massive clinical response
31:33 response
31:35 phase two of it is when we're actually
31:37 seeing tons of drug binding to tons of
31:39 receptors producing a good cellular
31:42 response and the third part here is
31:44 where we have all the drugs saturating
31:46 all of the complete number of receptors
31:48 that we have
31:50 and this point here is the e-max that's
31:52 the max amount of drug that you can give
31:54 to produce the maximum response or
31:56 effect that you're looking for and so
31:58 this is an important concept now another
32:00 thing that we have to talk about here so
32:01 we're going to say let's say that this
32:04 is a hundred percent effect or response
32:05 and then somewhere in the middle here
32:07 we're going to say is about a 50
32:09 response and then here is going to be
32:11 about a zero percent response we'll see
32:13 the same thing over here on this curve
32:15 i'm just comparing potency and efficacy
32:18 so let's say same thing here i draw this
32:19 curve here just to kind of make it representative
32:21 representative
32:22 this was a little bit too much of a
32:24 slope here so let's bring that less of a slope
32:25 slope
32:27 okay so here's our sigmoidal curve same
32:29 concept here here's one so that's
32:30 whenever little of the drug is binding
32:32 to very little receptors as we increase
32:34 the concentration of the drug we start
32:36 to see again more drug binding to more
32:38 receptors and then eventually we
32:40 saturate all of those particular
32:41 receptors so that's our concept there
32:44 this should be this dose response curve
32:46 what it should look like sigmoidal
32:48 now here's what i want you to think about
32:49 about
32:51 with respect to potency of the drug what
32:54 i want you to remember terminology wise
32:56 is potency is correlational with affinity
32:58 affinity
32:59 so in other words so i want you to think potency
33:01 potency
33:03 correlational with affinity
33:04 affinity
33:06 so as i
33:09 increase the affinity i increase the
33:11 potency of the drug and this is
33:14 basically the strength so this is the strength
33:18 of drug
33:20 drug receptor
33:25 interaction
33:27 so the stronger the bond is between the
33:30 drug and the receptor the more affinity
33:32 the more potent the drug is
33:35 now if i have an actual drug and it's
33:36 binding onto this receptor and the
33:38 strength of this actual bond is very
33:41 very powerful that doesn't necessarily
33:43 produce the same efficacy okay so you
33:45 can have a drug
33:48 that has a very high potency but what is
33:50 the significance of having a drug with a
33:52 very high affinity or a high potency let
33:54 me explain
33:56 let's say here that as i what do i know
33:59 then if i have a very high affinity that
34:01 that that that drug has for the
34:04 particular receptor okay so this drug
34:05 has a very high affinity for this
34:08 receptor meaning it's very very potent
34:11 what i can do is very very cool here
34:13 is when we look at this we actually can
34:14 take into consideration something called
34:17 the ec 50 which is a measure of potency
34:20 and so the ec 50 is the concentration
34:23 of the drug so it's the concentration
34:26 of the drug that will reach 50 percent
34:28 of the max response or effect so what is
34:31 this called this is called your ec50
34:34 that is a measure of potency or affinity
34:37 so what i want you to remember is the ec
34:41 50 is basically kind of a measure of potency
34:43 potency
34:44 now why is this important because when
34:46 you guys get a graph you have to be able
34:49 to consider this okay watch
34:52 as the ec 50 increases meaning you go
34:53 towards the right the concentration of
34:55 drug that you have to give to reach 50
34:57 of the mass effect as that increases
34:59 what am i saying that i have to give
35:02 more drug to produ produce 50 of the max
35:04 effect that means the potency is doing what
35:04 what
35:07 it's decreasing i don't have a strong of
35:10 a drug receptor interaction so what i
35:12 want you to remember is is that as you
35:14 increase your ec
35:16 50 you decrease
35:18 the potency meaning that these are
35:21 inversely proportional
35:24 if i decrease my ec 50
35:26 meaning i don't require as much of a
35:28 drug concentration to be able to produce
35:30 50 percent of the max effect what does
35:32 that mean for my potency that means this
35:34 potential so because of
35:36 that we have a very very good situation
35:38 here now watch what would this curve
35:39 look like if i actually took this into
35:42 consideration where i had one situation
35:45 where i want to change the potency so
35:47 let's say i want to have a decreased
35:49 potency that means that this curve would
35:51 go which way
35:53 it means it would go this way
35:55 right because now look at where my ec50
35:58 is my ec 50
36:00 is all the way
36:02 over here
36:04 so what i see is as i see that whenever
36:06 the potency is actually decreasing what
36:08 happens to the sigmoidal curve where
36:11 does it shift shifts to the right
36:13 if i want to increase the potency let's
36:14 say that i do this in a different color here
36:15 here
36:19 this way
36:24 so my
36:27 ec50 is shifted to the left and if it's
36:30 a decrease ec50 that means a higher
36:31 potency of the drug so it's important to
36:33 be able to remember that so whenever you
36:34 see these particular curves here and
36:36 they say which one of these if i were to
36:39 say this is medication a medication b
36:41 medication c which one of these has the
36:43 d the lowest potency you'd say a b c
36:45 which one has the highest potency it
36:47 would be a so it's important to be able
36:50 to remember that concept all right
36:51 we have to now take into consideration
36:53 something called efficacy
36:55 so efficacy is actually a very
36:56 interesting concept and it's actually
36:58 dependent upon two things it's dependent
37:00 upon the drug
37:04 receptor interaction
37:06 right so basically how
37:08 many receptors
37:10 the actual drug is occupying
37:12 so if i give a drug and this drug is
37:14 occupying 100 of the receptors that
37:15 means it's probably going to have an
37:17 increased efficacy if i give a drug and
37:18 it's only occupying some of those
37:19 receptors the efficacy is going to be decreased
37:20 decreased
37:22 that's one component
37:25 the other component is the intrinsic activity
37:26 activity
37:29 intrinsic activity of the drug meaning
37:30 meaning
37:33 if this drug binds to this receptor
37:35 if this drug binds to this receptor will
37:38 produce a 100 clinical response will it
37:41 produce a 70 clinical response will it
37:43 produce a 50 of a clinical response
37:45 that's dependent upon the intrinsic
37:47 activity of the drug so some drugs are
37:49 what's called full agonists meaning that
37:50 when they bind to the receptor the
37:52 effect that they have is 100 some are
37:54 partial agonists meaning that when they
37:56 bind to the drug even if they occupy all
37:58 the receptors the effect that they will
37:59 give you is never going to be maxed it's
38:01 not going to be 100
38:03 and so that's another important concept
38:06 so when i think about efficacy it's
38:08 really determined by what what we set up
38:12 here the point when all of the receptors
38:13 are stimulated so drug receptor
38:16 interaction you have to have at least
38:19 you'd like to 100 of the receptors that
38:21 are occupied
38:22 but it's also dependent upon the
38:24 intrinsic activity so even if you had
38:26 let's say i had a cell where 100 of the
38:28 receptors are occupied
38:30 if i had 100 of their cells uh all the
38:32 receptors occupied and the intrinsic
38:35 activity of that drug was very high a
38:37 full agonist
38:39 it would give me this type of emax then
38:41 it would give me this
38:43 where my hundred percent
38:46 or my emacs the point where
38:48 all my receptors are occupied doesn't
38:51 matter if i increase the drug anymore
38:53 the maximal effect that i have will be
38:54 at this point
38:57 all the receptors are occupied
38:59 if i take a drug that has a decreased efficacy
39:00 efficacy
39:02 meaning that maybe it has less receptors
39:05 that it's bound to or meaning it has
39:07 less intrinsic activity what would it
39:10 look like while i'd expect the e-max to
39:12 come down it wouldn't shift to the right
39:13 or shift to the left they should they
39:15 could actually keep the potency about
39:17 the same so what would i see with this curve
39:18 curve
39:20 if i were to compare here
39:22 i would actually see something like this
39:24 you see how it trails off like that so
39:25 this would be
39:26 the emax
39:28 and this here the difference between
39:30 these two is the difference in efficacy
39:33 so this here is the difference in efficacy
39:36 efficacy
39:39 this here between each one of these
39:42 between this component here
39:44 and this component here is the
39:46 difference in potency
39:47 potency
39:49 so remember that if my curve is shifting
39:52 down i'm changing the efficacy if my
39:53 curve is shifting to the right or the
39:56 left i'm shifting potency but again the
39:58 same concept here exists so again if i
40:00 take this difference here between on the
40:03 y-axis this tells me my response to the
40:05 actual drug right so the max effect and
40:08 again same thing this drug a would have
40:10 the highest efficacy this drug would
40:12 have the lowest efficacy but if i even
40:13 wanted to make it even more intense i
40:15 keep the same potency but again trail
40:18 off here so my emacs is even lower so if
40:20 they were to say okay
40:22 in a question you have drug a which is
40:24 black drug blee which is pink drug c
40:26 which is going to be green which one of
40:28 these has the highest efficacy you would
40:30 say would be the top one a which one has
40:32 the lowest it'd be the green the bottom
40:34 one and so this is an important concept
40:36 to be able to understand
40:37 all right
40:38 now sometimes the question may come up
40:40 and say okay if
40:41 if
40:44 i have a particular situation where
40:46 let's say i have a drug for example a
40:49 commonly utilized one bumetanide and
40:51 furosemide those are diuretics
40:54 when you think about these the efficacy
40:56 so let's actually just put here bumetanide
40:58 bumetanide
41:00 and furosemide
41:02 be metanide and furosemide
41:04 when you think about this
41:07 bumetanide i can actually give a very
41:08 low dose
41:10 to be able to produce 50
41:12 of the max effect
41:14 so because of that if i give a very low
41:16 dose what's the potency of that drug
41:18 it's very very good it's very high
41:21 potency so in that situation bumetanide
41:23 can be more potent than furosemide
41:26 because i can give a low dose
41:27 to be able to produce 50 of the mass
41:29 effect max effect whereas with
41:31 furosemide i'd have to give a little bit
41:33 of a higher dose
41:35 so we can say that the potency of these
41:36 are different
41:38 but the literature has actually shown
41:40 that just because the potency is
41:42 different doesn't mean that the efficacy
41:43 is different
41:44 so if i actually take bumet nine
41:46 ferocity and compared them around the
41:49 same like level of actual dose
41:51 comparison with their potency i could
41:53 actually see that these do have an equal
41:55 efficacy so just because a drug has a
41:57 different potency does not mean that it
41:59 doesn't have the same efficacy so just
42:01 make sure you remember that as well
42:02 all right my friends so we talked about
42:04 efficacy we talked about potency the
42:05 last thing that we got to talk about
42:06 here for this section of dose response
42:07 is something called the therapeutic
42:09 index alright guys so now let's talk
42:10 about the therapeutic index so
42:11 therapeutics is actually a really
42:12 important thing is in terms like the
42:14 safety of the drug if you will
42:16 so what i want us to think about is same
42:17 kind of concept here we're still going
42:20 to have like this dose response curve if
42:22 you will it's just on the x-axis it's
42:24 logarithmic concentration of the dose
42:25 but instead of it being a response or
42:27 effect on the y-axis with the dose
42:29 response curve for therapeutic index we
42:30 determine a patient population so the
42:32 percentage of patient population if you
42:34 will but it's still going to be the same
42:35 dose response curve so i'm going to
42:36 start here
42:38 move up like this that's my dose
42:39 response curve same thing over here i'm
42:41 going to move up and there's my dose
42:44 response curve okay so same concept here now
42:45 now
42:46 we use that terminology where we said
42:50 okay here's 100 that's emax right and
42:51 then somewhere in the middle here we're
42:53 going to be about 50
42:55 that was the ec 50 for the dose response
42:57 curve well now we're talking about
42:59 something different okay we're talking
43:01 about the percentage of patient population
43:02 population
43:06 so remember here at about 50 percent of
43:08 the patient population just like 50
43:10 percent of the max effect that you can
43:12 produce at this drug concentration that
43:15 was called ec50 all we're doing is we're saying
43:16 saying
43:18 this is now the ed50
43:20 for therapeutic index
43:22 same thing over here here's i'm going to
43:24 bring this response curve up just a
43:26 little bit higher okay
43:26 okay
43:30 so here if we look at this
43:33 this would be our max effect or 100
43:35 percent and somewhere here in the middle
43:39 of about 50. so again here
43:41 is going to be 50 of the patient
43:44 population i'm giving this concentration
43:46 or dose of the drug now this is also
43:49 called the ed50 now let's compare ec50
43:51 was the concentration of drug that i
43:53 would give to produce 50 of the max effect
43:54 effect
43:57 the ed50 is the dose of drug that i
43:59 would give to 50 of the population to
44:02 produce the clinically desired effect
44:05 okay so let's put desired effect this is good
44:06 good
44:09 good stuff right so this is clinically
44:11 desired effect within 50 of the
44:13 population if i give this dose of the drug
44:14 drug
44:17 now what i'm gonna do is is i'm gonna be
44:19 a little evil
44:21 and i'm gonna give a toxic dose
44:23 but on one situation
44:25 the the actual toxic dose that i can give
44:26 give
44:28 to 50 of the population that actually
44:30 produces that toxic effect
44:32 is not very large so what i can say is
44:34 like let's say it's like right here
44:37 so that's my toxic dose
44:39 so this is a toxic effect
44:42 so if that's the toxic effect then right here
44:44 here
44:46 at giving 50 of the population this dose
44:47 of drug
44:51 that is my toxic dose so td50
44:53 same thing over here i'm going to give
44:55 it but now what i'm going to do is it
44:58 takes a very large dose of that drug to
45:01 give to 50 of the population to produce
45:04 the toxic effect if you will so now this
45:06 is the toxic effect
45:07 effect
45:09 and the td50 the dose that i got to give
45:12 to 50 of the population
45:14 is right here
45:16 there's my td50 now
45:17 now
45:21 the therapeutic index is the difference
45:22 between these two that is the
45:24 therapeutic index
45:27 so this is a therapeutic index which is small
45:28 small
45:30 and small therapeutic index that's a
45:32 scary situation that's not a good thing
45:35 ones with a large therapeutic index is a
45:38 good thing it's very hard to be able to
45:40 you know make a mistake with these types
45:42 of drugs giving a particular dosage you
45:44 won't kill the patient or cause a very
45:46 toxic effect so it's important to
45:47 remember that so how do we determine
45:49 therapeutic index therapeutic index is
45:52 dependent upon the td50 divided by the
45:53 ed50 so
45:57 td50 divided by ed50
45:59 so think about this in this situation
46:02 here the td50 is relatively low it's
46:04 decreased so the therapeutic index if we think
46:04 think low
46:05 low
46:07 low they're directly proportional so a
46:09 decreased td-50 and i don't have a very
46:10 i don't have to give a very large dose
46:12 to produce the toxic effect of 50 of the
46:15 population this very low td50 will give
46:17 me a very small or
46:18 or
46:21 narrow therapeutic index and this is
46:24 scary because they have high risk
46:28 of side effects or toxicity if you will
46:30 meaning let's say i take for example you
46:31 know i remember the drugs in this
46:34 category remember a guy a guy right
46:37 warning these drugs are lethal all right
46:39 so it goes guy warning
46:40 warning
46:44 these drugs are lethal
46:46 and if you like this and it helps you
46:48 remember it great it just makes me laugh
46:53 but it goes gentamicin gentamicin
46:54 gentamicin
46:57 warfarin which is a really big one
46:58 it's theothen which we probably don't
47:01 use too much anymore nowadays
47:03 for copd
47:05 digoxin good one for afib and heart failure
47:06 failure
47:08 aeds and i think one of the big ones to
47:10 remember is phenytoin
47:13 and the last last one is lithium okay
47:15 which we use for bipolar so what's
47:17 important to remember about these is
47:19 that you could give a dosage of this
47:21 drug that produces a clinically desired
47:22 effect and increasing the dose just a
47:25 little bit is a very risky situation to
47:27 put you in a toxic effect of the dose
47:29 that's why it's important whenever drugs
47:31 have a very small therapeutic index you
47:32 monitor these drugs through particular
47:35 like serum levels or labs so one of the
47:37 best ones to give an example about is warfarin
47:38 warfarin
47:41 i determine it by its inr right the
47:43 other ones i can check their levels i
47:45 can check the level of an aminoglycoside
47:47 or i can check the level of digoxin i
47:48 can check the level of phenytoin and
47:50 lithium because i want to make sure that
47:52 the concentration i have in the blood is
47:54 not too high but it with risk of toxic
47:56 effect so the margin of error for a
47:58 therapeutic index when it's small is
47:59 very very
48:00 very tiny and there's a high risk of
48:02 side effects and the opposite you
48:04 probably already know now that this is a
48:06 large therapeutic index you have to give
48:08 a very high td50 so you increase the
48:11 td50 you increase the therapeutic index
48:14 and so this is a large
48:16 therapeutic index and so because of that
48:18 there's less risk
48:20 of side effects so i could give a pretty
48:22 heavy dosage you know what a good
48:24 example of this one is uh steroids and
48:27 penicillin so good examples of this one
48:30 is penicillin g i can give like massive
48:32 amounts of penicillin g and small
48:34 amounts of penicillin g and i would have
48:36 a very difficult time being able to get
48:38 to the toxic effect of it
48:40 corticosteroids so steroids are another
48:41 one as well you can get pretty like
48:43 large doses of steroids as well and again
48:44 again
48:46 less risk of a toxic side effect so i
48:48 think this is an important really really
48:50 important concept to remember especially
48:52 for clinicals and as well as your exams
48:54 all right now let's talk about intrinsic
48:57 activity so agonist and antagonists
48:58 alright guys so now let's talk about
49:00 intrinsic activity between drug receptor
49:02 interactions this is actually a pretty
49:03 cool concept very high yield so we
49:04 should know this as well
49:07 so whenever you have a drug that binds
49:08 to a particular receptor we want to try
49:10 to in some way compare it to our
49:12 endogenous system
49:14 and so i think one of the really cool
49:15 examples to think about is let's say
49:16 that um
49:18 let's say a very common one is you have
49:20 a blood vessel and on that blood vessel
49:22 you have what's called alpha-1 receptors
49:25 so here's an alpha-1 receptor what we
49:27 know is that norepinephrine and
49:29 epinephrine are basically molecules that
49:31 will bind onto this receptor stimulate
49:33 it and trigger vasoconstriction that's the
49:34 the
49:36 response or the effect if you will of
49:39 the drug binding onto that receptor
49:41 now let's assume that there's 100
49:44 receptor binding by norepinephrine we
49:46 know that its effect is vasoconstriction
49:47 vasoconstriction
49:50 if i give a drug that also can act like norepinephrine
49:52 norepinephrine
49:54 whenever it binds on to 100 percent of
49:55 the receptors are completely saturated
49:59 with this drug and it produces the same
50:01 intensity or maximal effect 100
50:03 vasoconstriction just like
50:06 norepinephrine it's a full agonist
50:08 if i give another drug drug b
50:11 and i have it bind on to 100 of the
50:13 receptors are saturated by this other
50:14 type of agonist drug b
50:17 but it doesn't produce the same maximal
50:19 effect or efficacy
50:21 as drug a did we call that a partial agonist
50:22 agonist
50:24 and then when you have another drug drug c
50:25 c
50:27 and this binds on to the alpha-1
50:30 receptor and all it does is it keeps the
50:33 actual receptor completely inactivated
50:35 then you significantly reduce the actual
50:38 efficacy and the maximal effect of that
50:41 drug to below the basal activity of the
50:42 receptor because normally receptors have
50:45 some degree of basal activity
50:47 that degree of basal activity is about
50:48 12 percent
50:51 so no matter what if i give a particular
50:54 drug all we're doing is we're increasing
50:56 the efficacy of that drug above its
50:58 basal activity 12 percent about most
51:00 textbooks will say
51:02 so say i say a full agonist with the
51:04 first case so full agonist so for
51:07 example norepinephrine i can give a drug
51:10 just like norepinephrine norepinephrine
51:11 i can just give it exogenously so
51:14 levofed norepinephrine another agonist
51:17 would be phenylephrine or epinephrine
51:18 they both can bind onto the alpha
51:20 receptors and produce the same type of
51:22 you know maximal effect so that would be
51:24 an example of a full agonist so if i
51:26 were to give let's say these are all
51:29 alpha one receptors i could give a drug
51:31 like norepinephrine
51:33 epinephrine or i can give something
51:35 called phenylephrine okay
51:36 okay
51:39 and these will all produce the same type
51:41 of clinical response when they bind to
51:44 so 100 percent of the receptors are
51:46 bound by a drug and they produce the
51:48 clinical response the clinical effect
51:51 that they have will be the max
51:54 effect that you can produce the e max
51:55 okay so if we were to drop that off on
51:57 the curve here log mere the
51:59 concentration of the drug on the x-axis
52:01 response on the y-axis just like the
52:03 dose response curve what we're going to
52:05 see is is that there's 12 basal activity
52:07 i'm going to increase it from that point
52:10 that would be the curve at 100 max
52:13 efficacy if i give a full agonist so
52:15 remember this is a full
52:16 full
52:18 agonist it will produce the same it'll
52:22 mimic the basic endogenous system okay
52:25 a partial agonist will be something a
52:26 little bit different
52:29 so i think a really interesting example
52:32 about a partial agonist could be
52:34 something for example you know there's a
52:36 opioid receptors so let's say that this
52:38 is what's called a mu
52:40 receptor a mu receptor is a type of
52:42 opioid receptor and it loves to bind
52:44 onto something called morphine
52:46 and so what happens is
52:48 if you give something
52:51 uh like a partial agonist this is really interesting
52:52 interesting
52:54 partial agonists they'll bind on to
52:56 these receptors these mu receptors let's
52:58 just say an example of this could be
53:00 something called buprenorphine buprenorphine
53:05 and what happens is this will actually
53:07 bind onto these new receptors
53:11 if it saturates 100 of the mu receptors
53:13 it'll produce a clinical effect that is below
53:15 below
53:18 the max effect it's sub-par sub
53:19 max effect maybe like if we were to say
53:22 this is 100 this is like 70 or 60
53:25 percent but it's below the max effect
53:27 that's a partial agonist it will not
53:29 produce the max effect
53:31 but there's something really interesting
53:32 about partial agonist that i'm going to
53:33 talk about in just a second but let's
53:36 say that we graph this out in a pink so
53:37 now we have another one where we're
53:39 going to start this off beyond the basal
53:41 activity of the receptor i'll see that
53:42 as i increase the concentration of the
53:44 drug i will do what
53:47 i'm going to drop off my efficacy
53:48 because no matter what i'll never reach
53:51 max effect so this one i'm going to even
53:51 i'm going to make it a little bit more
53:53 drastic so we're going to drop this one
53:54 off even a little bit more than that so
53:57 this is going to be a partial
53:59 agonist now here's something that's
54:02 really interesting about partial agonist
54:04 partial agonists if you keep giving
54:06 higher concentrations of a partial
54:08 agonist and you give it in combination
54:10 with an agonist so for example what did
54:13 we say would bind on to the mu receptors
54:15 let's say that you give buprenorphine
54:18 and you're giving it with morphine
54:20 and let's make sure morphine is like in
54:22 a different color here let's make him in
54:24 this red color here so here's morphine
54:26 in red and then buprenorphine is going
54:28 to be in black here
54:32 if you give buprenorphine what it'll do
54:34 is it'll bind to all of these mu receptors
54:35 receptors
54:36 and basically as you increase the
54:38 concentration of it it's going to block
54:41 the actual morphine from being able to
54:43 bind into that receptors because it's
54:45 kind of in the same active site as the
54:47 buprenorphine and so that's blocking
54:49 that morpheme from being able to bind to
54:51 that actual receptor so what's really
54:52 interesting is that when you give an
54:55 agonist and a partial agonist together
55:03 this is a partial agonist
55:06 again full agonist partial agonist when
55:08 you give these together what you see is
55:10 is you see something called competitive inhibition
55:12 inhibition where
55:13 where
55:15 this buprenorphine is going to compete
55:18 with morphine for the actual mu receptor
55:20 blocking it and the only way that you're
55:22 going to be able to see the morphine
55:25 produce max effect meaning that whenever
55:26 this guy binds to the receptor it
55:28 produces the max effect is if i keep
55:30 trying to increase and increase and
55:31 increase the concentration of my
55:33 morphine to eventually displace the
55:36 buprenorphine out of that active site
55:37 that's a really interesting concept to
55:42 remember so partial agonist can also act
55:44 like antagonists
55:47 so remember that okay sometimes partial
55:48 agonists if you increase the
55:50 concentration of them they can act like
55:52 antagonists specifically competitive
55:54 antagonists all right off my soapbox
55:55 with that one
55:57 the next one that i want you guys to
55:58 think about is called inverse agonist
56:00 now inverse agonists are a little funky
56:02 they're weird ones so what happens is
56:04 these drugs will bind to the receptor
56:07 and when they bind to the receptor
56:09 they will significantly decrease the
56:11 effect of this drug like
56:11 like
56:14 less than 12 which is the basal activity
56:16 of the drug you're like what the heck so
56:17 what would i see that i would see this
56:23 that's that's my inverse agonist so for
56:26 my inverse agonist
56:28 i'm going to see this particular drug reduce
56:29 reduce
56:32 the actual effect of the um it's going
56:33 to reduce the actual maximal effects
56:35 significantly to the point where it's
56:38 less than the basal activity how the heck
56:39 heck
56:40 do you decrease the drug receptor
56:43 interaction where you go below the basal
56:46 activity you inactivate the receptor
56:47 that's what this thing does so basically
56:49 what it does is you have receptors that
56:50 can exist in two forms so let's say
56:52 here's one receptor here's another receptor
56:53 receptor
56:54 and if i want to go back and forth
56:56 between these two forms here so let's
56:58 say i want to go back and forth so this
56:59 is going to be r which let's say that
57:01 this is the active form
57:03 and then we're going to make this one
57:04 so make this r
57:07 let's make this one r prime this is the in
57:07 in
57:09 active form
57:12 what we do here is that when an inverse
57:14 agonist interacts
57:16 it tries to be able to push the reaction
57:19 and keep it in this inactive form so
57:20 what it does it tries to be able to keep
57:22 this receptor in the inactive form it
57:24 shifts this reaction to keep it
57:27 inactivated so now no other agonist will
57:29 be able to bind to it so it completely
57:31 reduces the drug receptor interaction
57:33 below the basal activity that's an
57:35 important thing to think about
57:37 inverse agonists there's not too many
57:39 drugs that you can think about for this one
57:40 one
57:41 one of them could be something like
57:42 antihistamines can act like this on the
57:45 h1h2 receptors but don't get too bogged
57:47 down in the details focus more on full
57:49 and partial
57:50 now the next thing is that sometimes we
57:52 have to talk about antagonists and what
57:53 antagonists do which we're going to talk
57:55 about next is they work to be able to
57:57 oppose the agonists and what they try to
57:59 do is they try to be able to act like a
58:01 neutral component here and so they'll
58:04 basically kind of like inhibit any type
58:06 of agonist being able to bind to the
58:08 receptor but at least allow for the
58:11 receptor to maintain basal activity and
58:13 so this will be the antagonist and
58:15 that's what we're going to talk about
58:16 next we're going to talk about
58:18 competitive and non-competitive
58:20 antagonists let's talk about that now
58:20 all right so now we're going to talk
58:22 about the same concept we talked about
58:24 agonists full agonist partial agonist
58:26 inverse agonist with antagonists
58:29 these are basically going to be working
58:31 in the opposite function of an agonist
58:33 so they're completely opposite so
58:34 take for example
58:37 um let's use this example here we had up
58:40 above we have a blood vessel has a alpha 1
58:42 1
58:44 alpha 1 receptor norepinephrine will
58:46 bind to that and cause vasoconstriction
58:49 an antagonist
58:50 to that drug
58:52 would be something that is an alpha one blocker
58:54 blocker
58:56 so i would give something like an alpha
58:58 one blocker
59:00 and that would basically bind on to this
59:02 little receptor site
59:04 inhibiting or preventing norepinephrine
59:06 from being able to exert its effect on
59:08 it therefore there would be no vasoconstriction
59:10 vasoconstriction
59:11 that is what an antagonist does is it
59:14 opposes the action of the agonist in
59:16 this case we're using norepinephrine as
59:17 an example
59:19 so how does it do this
59:21 well what happens is let's say here we
59:22 have our cell
59:25 and here's the receptor let's say we have
59:26 have
59:28 in general our agonist and we're going
59:31 to represent agonist here in black okay
59:33 so here's our agonist and what we're
59:34 going to do is we're going to give
59:37 what's called a competitive antagonist
59:38 and we'll just use this example here
59:40 here's our
59:41 neuroepinephrine which is going to bind
59:44 onto these alpha-1 receptors and then
59:48 over here i have my alpha i'm going to
59:51 put alpha blocker all right so one of
59:52 the alpha blockers you can have tons of
59:54 these dang things but an alpha blocker
59:56 of some kind right we could use
59:59 phentolamine whatever we'll just say phentolamine it's just an example of one
60:01 phentolamine it's just an example of one of these so phentolamine
60:09 what phentolamine will do is is it'll come and basically norepinephrine is
60:11 come and basically norepinephrine is supposed to bind to these receptors the
60:13 supposed to bind to these receptors the phentolamine will plug into these
60:16 phentolamine will plug into these receptors
60:17 receptors and basically block
60:20 and basically block the norepinephrine from being able to
60:22 the norepinephrine from being able to bind here so if we were to look at the
60:24 bind here so if we were to look at the normal curve let's say that we have the
60:26 normal curve let's say that we have the normal dose response curve when
60:27 normal dose response curve when norepinephrine binds to these receptors
60:29 norepinephrine binds to these receptors we know that it produces a nice
60:31 we know that it produces a nice sigmoidal curve so same thing effect you
60:33 sigmoidal curve so same thing effect you can say response it's the same concept
60:36 can say response it's the same concept this is the dose response curve i'm
60:38 this is the dose response curve i'm going to see something like this right
60:42 going to see something like this right that's my dose response curve this is a
60:44 that's my dose response curve this is a 100 max effect and this right here will
60:46 100 max effect and this right here will be somewhere around 50 max effect right
60:49 be somewhere around 50 max effect right now what i know is is that this would be
60:52 now what i know is is that this would be what would happen if neuroepinephrine
60:54 what would happen if neuroepinephrine was to bind to the actual alpha and
60:55 was to bind to the actual alpha and receptor
60:56 receptor now what i'm going to do is is i'm going
60:58 now what i'm going to do is is i'm going to give phentolamine
61:00 to give phentolamine and when i give so this is actually
61:01 and when i give so this is actually going to be my agonist if you will so
61:03 going to be my agonist if you will so this is my agonist whenever it's
61:05 this is my agonist whenever it's supposed to bind so norepinephrine what
61:07 supposed to bind so norepinephrine what i'm going to do is i'm going to give it
61:08 i'm going to do is i'm going to give it a competitive antagonist like
61:10 a competitive antagonist like phantolamine it's going to work to block
61:13 phantolamine it's going to work to block these receptors
61:15 these receptors now if there is any receptors that are
61:17 now if there is any receptors that are available norepinephrine will still bind
61:21 available norepinephrine will still bind so if there is any receptors that are
61:22 so if there is any receptors that are actually available norepinephrine will
61:25 actually available norepinephrine will bind to these and still produce some
61:26 bind to these and still produce some type of response
61:29 type of response but if i still want it to be able to
61:30 but if i still want it to be able to produce the maximum response what do i
61:33 produce the maximum response what do i have to do
61:34 have to do what i need to do is is i need to
61:36 what i need to do is is i need to increase
61:38 increase the concentration
61:40 the concentration of my norepinephrine or my agonist to
61:43 of my norepinephrine or my agonist to overcome and displace
61:46 overcome and displace the antagonist out of the active site i
61:49 the antagonist out of the active site i want to pop those
61:51 want to pop those out of the active site so that i have
61:53 out of the active site so that i have the ability to beat that guy out and
61:56 the ability to beat that guy out and bind onto these receptors and produce
61:58 bind onto these receptors and produce the same type of clinical response that
62:00 the same type of clinical response that i want
62:01 i want but in order for me to do that in the
62:03 but in order for me to do that in the presence of this antagonist i need to
62:05 presence of this antagonist i need to increase the concentration heavily
62:08 increase the concentration heavily so let's say now
62:10 so let's say now i have a new curve
62:11 i have a new curve and this new curve what am i going to
62:13 and this new curve what am i going to have to do if i need to be able to
62:15 have to do if i need to be able to produce the same clinical effect the
62:17 produce the same clinical effect the same response as an agonist would by
62:19 same response as an agonist would by itself
62:20 itself i'm going to have to
62:22 i'm going to have to increase the concentration of the drugs
62:24 increase the concentration of the drugs significantly
62:26 significantly to be able to produce the same type of
62:28 to be able to produce the same type of clinical response
62:29 clinical response and so this would be a combination of my
62:31 and so this would be a combination of my agonist
62:34 agonist and
62:35 and antagonist
62:37 antagonist and specifically which one competitive
62:39 and specifically which one competitive antagonist so what i'm seeing is is in
62:42 antagonist so what i'm seeing is is in order for me to be able to produce the
62:43 order for me to be able to produce the same kind of
62:44 same kind of maximal effect i'm going to have to do
62:47 maximal effect i'm going to have to do what to my dosage
62:48 what to my dosage increase the dosage so i have to
62:51 increase the dosage so i have to increase
62:52 increase the dosage do you guys remember off of
62:54 the dosage do you guys remember off of that curve
62:56 that curve what that looks like so remember this is
62:58 what that looks like so remember this is our e
63:00 our e max the maximal effect that this actual
63:03 max the maximal effect that this actual drug receptor interaction can perform
63:05 drug receptor interaction can perform and then at 50 percent
63:12 this was our ec 50
63:13 50 and then this was our ec 50.
63:17 and then this was our ec 50. what was happening if i increased or i
63:19 what was happening if i increased or i shifted the actual curve to the right
63:21 shifted the actual curve to the right what did that do that increased my ec 50
63:23 what did that do that increased my ec 50 what does that do to the potency then
63:25 what does that do to the potency then it decreased the potency so competitive
63:29 it decreased the potency so competitive antagonists do what to your potency they
63:31 antagonists do what to your potency they decrease your potency but what do they
63:33 decrease your potency but what do they do to the emacs
63:34 do to the emacs nothing so here's what i want you to
63:36 nothing so here's what i want you to remember
63:37 remember no change
63:39 no change in emacs
63:40 in emacs but what do they do to the ec 50 they
63:42 but what do they do to the ec 50 they decrease your ec
63:44 decrease your ec 50 which is going to do what
63:47 50 which is going to do what it's going to require if i'm sorry if
63:48 it's going to require if i'm sorry if you're actually increasing your ec50 i
63:50 you're actually increasing your ec50 i apologize if you're increasing the ec50
63:52 apologize if you're increasing the ec50 what is that doing to the potency it's
63:54 what is that doing to the potency it's decreasing the potency because these are
63:56 decreasing the potency because these are inversely proportional so we're shifting
63:57 inversely proportional so we're shifting it to the right increasing our ec 50
63:59 it to the right increasing our ec 50 which means i have to give more of the
64:01 which means i have to give more of the drug to be able to have the same type of
64:02 drug to be able to have the same type of potent effect that's what i want you to
64:04 potent effect that's what i want you to remember so for one thing for
64:05 remember so for one thing for competitive no change in e-max
64:07 competitive no change in e-max but it does decrease the potency so you
64:09 but it does decrease the potency so you have to give more of the drug to
64:11 have to give more of the drug to displace the competitive inhibitor out
64:13 displace the competitive inhibitor out of that spot so that you can produce the
64:15 of that spot so that you can produce the same type of maximal effect or clinical
64:17 same type of maximal effect or clinical response all right i hope that made
64:19 response all right i hope that made sense
64:20 sense for non-competitive antagonists it's a
64:22 for non-competitive antagonists it's a teensy bit different so let's use the
64:24 teensy bit different so let's use the same example here that we talked about
64:26 same example here that we talked about this blood vessel
64:28 this blood vessel let's say here this actually kind of
64:29 let's say here this actually kind of worked out well i didn't even think
64:30 worked out well i didn't even think about this but here you have an alpha-1
64:32 about this but here you have an alpha-1 receptor again norepinephrine's supposed
64:33 receptor again norepinephrine's supposed to bind so i'm going to give an alpha
64:34 to bind so i'm going to give an alpha blocker
64:36 blocker that's going to work to
64:38 that's going to work to basically block prevent work against the
64:41 basically block prevent work against the activity of the agonist right so we know
64:43 activity of the agonist right so we know normally if we were to give
64:44 normally if we were to give norepinephrine by itself it would look
64:46 norepinephrine by itself it would look something like this right same kind of
64:49 something like this right same kind of curve there that's our dose response
64:50 curve there that's our dose response curve this is the agonist
64:52 curve this is the agonist by itself okay just the agonist
64:55 by itself okay just the agonist now
64:56 now here is my norepinephrine
64:59 here is my norepinephrine and then down here same color here in
65:02 and then down here same color here in blue i'm going to have my
65:04 blue i'm going to have my antagonist but this is a non-competitive
65:08 antagonist but this is a non-competitive i didn't plan this but this actually
65:09 i didn't plan this but this actually worked out perfectly so another alpha
65:11 worked out perfectly so another alpha blocker so this is actually
65:12 blocker so this is actually noroepinephrine
65:14 noroepinephrine there's another alpha blocker that acts
65:16 there's another alpha blocker that acts as a non-competitive antagonist and it's
65:18 as a non-competitive antagonist and it's called phenoxybenzamine
65:21 called phenoxybenzamine benza
65:22 benza mean
65:24 mean now the difference here
65:25 now the difference here is that phentol mean bound to the actual
65:28 is that phentol mean bound to the actual active site so you see a little pocket
65:30 active site so you see a little pocket there that's called the active site the
65:32 there that's called the active site the same site
65:34 same site where the actual
65:35 where the actual agonist binds to
65:37 agonist binds to now
65:38 now phenoxybenzamine does not bind to the
65:40 phenoxybenzamine does not bind to the active site so when you have a
65:41 active site so when you have a non-competitive inhibitor like
65:43 non-competitive inhibitor like phenoxybenzamine it binds to another
65:45 phenoxybenzamine it binds to another site besides the active site so let's
65:48 site besides the active site so let's say that it binds to like right here
65:50 say that it binds to like right here binds to like right here binds to here
65:53 binds to like right here binds to here binds to here it's not the active site
65:56 binds to here it's not the active site this site here if we were to kind of
65:57 this site here if we were to kind of like let's say that we zoomed in on this
65:59 like let's say that we zoomed in on this theoretically let's say here's the
66:00 theoretically let's say here's the receptor
66:02 receptor i'm going to put a little kind of like
66:03 i'm going to put a little kind of like divot here so here's the receptor when
66:06 divot here so here's the receptor when we really zoom in on it
66:08 we really zoom in on it here's the active site that right there
66:11 here's the active site that right there is called the allosteric site so it's a
66:14 is called the allosteric site so it's a site
66:15 site on the actual protein or receptor other
66:17 on the actual protein or receptor other than the active site
66:19 than the active site when this phenoxybenzemian or
66:20 when this phenoxybenzemian or non-competitive antagonist binds to this
66:23 non-competitive antagonist binds to this it changes the shape
66:26 it changes the shape of the actual receptor to where now
66:28 of the actual receptor to where now it changes it in such a way where maybe
66:30 it changes it in such a way where maybe it's not even the same shape here
66:33 it's not even the same shape here or maybe maybe it looks like this now
66:35 or maybe maybe it looks like this now maybe it's like
66:40 and now it's going to be harder for that to be able to bind to the agonist
66:43 to be able to bind to the agonist norepinephrine
66:45 norepinephrine so because of that norepinephrine
66:47 so because of that norepinephrine wants to be able to bind here but it
66:49 wants to be able to bind here but it can't even know that there's a site
66:51 can't even know that there's a site available
66:53 available these non-competitive antagonists
66:55 these non-competitive antagonists bind to the allosteric site changing its
66:57 bind to the allosteric site changing its shape that no matter what even if i try
67:00 shape that no matter what even if i try to increase and increase and increase
67:02 to increase and increase and increase the concentration of norepinephrine it's
67:04 the concentration of norepinephrine it's not going to matter because it's going
67:07 not going to matter because it's going to have tons of active sites available
67:09 to have tons of active sites available that's not going to make a difference
67:10 that's not going to make a difference and if i increase the concentration
67:12 and if i increase the concentration it'll still have a difficult time being
67:13 it'll still have a difficult time being able to bind to the active sites
67:15 able to bind to the active sites but what i know is that no matter what i
67:17 but what i know is that no matter what i do to the concentration if i can
67:18 do to the concentration if i can increase it increase and increase it
67:20 increase it increase and increase it it's not going to be able to produce any
67:23 it's not going to be able to produce any improvement
67:24 improvement in the overall response or cellular
67:26 in the overall response or cellular effect and that's a really important
67:29 effect and that's a really important concept so the response
67:32 concept so the response i can't spell a response for the life of
67:34 i can't spell a response for the life of me the response or the clinical effect
67:36 me the response or the clinical effect is going to plummet
67:38 is going to plummet it's going to plummet even if i increase
67:40 it's going to plummet even if i increase the concentration of this dang drug or
67:42 the concentration of this dang drug or agonist it's not going to matter because
67:43 agonist it's not going to matter because this
67:44 this not non competitive inhibitor
67:47 not non competitive inhibitor phenoxy benzamine is binding to the
67:48 phenoxy benzamine is binding to the allosteric site changing its shape to no
67:50 allosteric site changing its shape to no matter what it's not going to be able to
67:52 matter what it's not going to be able to bind properly to the agonist so what
67:54 bind properly to the agonist so what would the graph look like here
67:56 would the graph look like here well i know that if with respect to
67:59 well i know that if with respect to concentration or potency that's not
68:02 concentration or potency that's not going to change it's going to stay the
68:04 going to change it's going to stay the same so if i were to look here it would
68:06 same so if i were to look here it would should look just like this i shouldn't
68:07 should look just like this i shouldn't shift the curve i'm going to do it just
68:09 shift the curve i'm going to do it just a little so you guys can see the
68:10 a little so you guys can see the difference here but what i'm going to
68:12 difference here but what i'm going to notice here is that this is
68:15 notice here is that this is son of a gun
68:16 son of a gun this is my max effect this is my emacs
68:20 this is my max effect this is my emacs so that's at a hundred percent
68:22 so that's at a hundred percent response or effect here i'm going to
68:24 response or effect here i'm going to come right in the middle about 50
68:26 come right in the middle about 50 so i know that this right here
68:28 so i know that this right here is my ec 50. they're about exactly the
68:32 is my ec 50. they're about exactly the same and that should make sense because
68:35 same and that should make sense because even if i increase the concentration of
68:36 even if i increase the concentration of my monopoly it's not going to make any
68:38 my monopoly it's not going to make any difference in the response
68:40 difference in the response there's no effect on potency with
68:41 there's no effect on potency with respect to non-competitive inhibitors
68:43 respect to non-competitive inhibitors but what i am going to see is that the
68:44 but what i am going to see is that the response the effect that it's going to
68:46 response the effect that it's going to have is going to decrease significantly
68:48 have is going to decrease significantly because the agonists can't bind to the
68:49 because the agonists can't bind to the dang active site and produce the
68:51 dang active site and produce the response it wants to because the
68:52 response it wants to because the non-competitive inhibitor changed its
68:54 non-competitive inhibitor changed its shape by binding to the allosteric site
68:56 shape by binding to the allosteric site so what will i see i'll see this thing
68:58 so what will i see i'll see this thing drop off before reaching maximal
69:00 drop off before reaching maximal response or effect so it'll drop off
69:02 response or effect so it'll drop off like this and here will be its emacs
69:06 like this and here will be its emacs this
69:06 this is the agonist
69:09 is the agonist and the
69:10 and the non-competitive
69:17 antagonist and what do i see with respect to the
69:19 and what do i see with respect to the e-max
69:20 e-max i see a decrease in the e-max if i see a
69:23 i see a decrease in the e-max if i see a decrease
69:25 decrease in the e-max
69:30 what do i know then i know that non-competitive inhibitors do what
69:32 non-competitive inhibitors do what they
69:33 they decrease the efficacy of the drugs so
69:35 decrease the efficacy of the drugs so what would they do to the ec 50 the
69:37 what would they do to the ec 50 the ec-50 will be the same no effect
69:40 ec-50 will be the same no effect no change that's one thing but the e-max
69:44 no change that's one thing but the e-max that will change you'll decrease the
69:46 that will change you'll decrease the e-max with respect to non-competitive
69:49 e-max with respect to non-competitive inhibitors the only way you can actually
69:50 inhibitors the only way you can actually prevent this and improve the efficacy is
69:52 prevent this and improve the efficacy is getting rid of the non-competitive
69:54 getting rid of the non-competitive inhibitor you increase the drug
69:55 inhibitor you increase the drug concentration trying to decrease the
69:57 concentration trying to decrease the potency is not going to affect it so
69:59 potency is not going to affect it so that's an important thing to
70:00 that's an important thing to remember all right initiatives we
70:02 remember all right initiatives we covered pharmacodynamics now let's do a
70:04 covered pharmacodynamics now let's do a couple practice problems see if we can
70:05 couple practice problems see if we can test you guys knowledge and review or
70:07 test you guys knowledge and review or your understanding now let's get to it
70:08 your understanding now let's get to it all right engineer so we finished our
70:10 all right engineer so we finished our pharmacodynamic video but now we got to
70:12 pharmacodynamic video but now we got to really put everything that we talked
70:13 really put everything that we talked about on the whiteboard to practice to
70:15 about on the whiteboard to practice to see if you guys really understand this
70:16 see if you guys really understand this okay
70:17 okay so first question here which of the
70:18 so first question here which of the following best describes how a drug that
70:21 following best describes how a drug that acts as a agonist
70:23 acts as a agonist on the gaba a receptor affects signal
70:26 on the gaba a receptor affects signal transduction in a neuron i went through
70:27 transduction in a neuron i went through this example very specifically so a gaba
70:30 this example very specifically so a gaba a receptor is an example of what kind of
70:33 a receptor is an example of what kind of receptor is it a ligand-gated type of
70:36 receptor is it a ligand-gated type of ion channel that it will act as right
70:38 ion channel that it will act as right whenever gaba-a receptors are
70:39 whenever gaba-a receptors are particularly is it a ligand-gated
70:42 particularly is it a ligand-gated is it a g-protein g-protein-coupled
70:43 is it a g-protein g-protein-coupled receptor or is it some type of tyrosine
70:46 receptor or is it some type of tyrosine kinase receptor or is it an
70:48 kinase receptor or is it an intracellular receptor i use this one as
70:50 intracellular receptor i use this one as a very specific example
70:52 a very specific example as a ligand-gated ion channel and so
70:55 as a ligand-gated ion channel and so whenever you give a agonist of the gaba
70:57 whenever you give a agonist of the gaba a receptor it'll bind onto that little
71:00 a receptor it'll bind onto that little pocket open up the channel to allow for
71:02 pocket open up the channel to allow for chloride ions to flow into the cell
71:06 chloride ions to flow into the cell decreasing the chance of generating a
71:08 decreasing the chance of generating a action potential
71:09 action potential so would it be activating the
71:11 so would it be activating the intracellular receptor process
71:13 intracellular receptor process so no
71:15 so no would it be opening up ion channels that
71:17 would it be opening up ion channels that allow sodium no would it be activation
71:19 allow sodium no would it be activation of this receptor subtype that opens up
71:21 of this receptor subtype that opens up ion channels that allow chloride to
71:22 ion channels that allow chloride to enter in
71:24 enter in yes that's likely the one or does it
71:25 yes that's likely the one or does it activate the receptor the g protein
71:27 activate the receptor the g protein remember i told you it was not a g
71:28 remember i told you it was not a g protein
71:29 protein it's not an intracellular receptor
71:31 it's not an intracellular receptor it does act as a ligand-gated ion
71:33 it does act as a ligand-gated ion channel so it is opening up for sodium
71:34 channel so it is opening up for sodium or chloride it's particularly for
71:36 or chloride it's particularly for chloride remember that example i showed
71:38 chloride remember that example i showed you on the whiteboard this was the one
71:40 you on the whiteboard this was the one and we used this kind of way of being
71:41 and we used this kind of way of being able to treat anxiety and seizures etc
71:44 able to treat anxiety and seizures etc all right next question after one
71:46 all right next question after one milligram if one milligram of lorazepam
71:48 milligram if one milligram of lorazepam produces the same anxiolytic response as
71:51 produces the same anxiolytic response as 10 milligrams
71:52 10 milligrams of diazepam
71:54 of diazepam which is correct
71:55 which is correct think about your dose response curve
71:58 think about your dose response curve so remember as we increase the dosage
72:01 so remember as we increase the dosage going towards the right
72:03 going towards the right what happens to the potency of the drug
72:05 what happens to the potency of the drug remember i have one drug here it's going
72:08 remember i have one drug here it's going to be towards the left i can give a very
72:10 to be towards the left i can give a very low dose of that drug to produce the
72:12 low dose of that drug to produce the same efficacious response
72:14 same efficacious response if i have to give a higher dosage to
72:16 if i have to give a higher dosage to produce the same efficacious anxiolytic
72:19 produce the same efficacious anxiolytic response what is happening to the
72:21 response what is happening to the potency of that drug that means the
72:24 potency of that drug that means the potency of diazepam
72:26 potency of diazepam is decreased that means i have to give a
72:27 is decreased that means i have to give a higher con a higher dose of that drug to
72:30 higher con a higher dose of that drug to be able to produce the same effect so
72:32 be able to produce the same effect so what i say lorazepam is more potent than
72:35 what i say lorazepam is more potent than in this case i would i would say that
72:37 in this case i would i would say that one milligram is definitely that
72:39 one milligram is definitely that lorazepam is more efficacious no because
72:41 lorazepam is more efficacious no because remember doses were producing the same
72:43 remember doses were producing the same anxiolytic response so the efficacy is
72:45 anxiolytic response so the efficacy is the same it's just the dosage that i
72:47 the same it's just the dosage that i have to give to change that to reach
72:49 have to give to change that to reach that efficacious response is different
72:51 that efficacious response is different so it's not b lorazepam is a full
72:53 so it's not b lorazepam is a full agonist and diazepam as a partial
72:55 agonist and diazepam as a partial agonist don't worry about that that has
72:57 agonist don't worry about that that has nothing to do with this lorazepam is a
72:59 nothing to do with this lorazepam is a better drug to take for anxiety than
73:00 better drug to take for anxiety than diazepam again has nothing to do with
73:02 diazepam again has nothing to do with this so it's either efficacy or potency
73:04 this so it's either efficacy or potency and in this case lorazepam is more
73:06 and in this case lorazepam is more potent than diazepam again remember that
73:09 potent than diazepam again remember that as you have to
73:11 as you have to increase the concentration of your drug
73:14 increase the concentration of your drug so the ec50 so that was the actual
73:16 so the ec50 so that was the actual concentration to reach 50 of the max
73:18 concentration to reach 50 of the max effect
73:19 effect as that goes more towards the right or
73:21 as that goes more towards the right or increases the potency of the drug
73:23 increases the potency of the drug decreases so that's an important concept
73:27 decreases so that's an important concept all right
73:29 all right next one here so we have 10 milligrams
73:31 next one here so we have 10 milligrams of oxycodone produces a greater
73:33 of oxycodone produces a greater analgesic response than does aspirin at
73:36 analgesic response than does aspirin at any dose which is correct so now we're
73:38 any dose which is correct so now we're looking at the response
73:40 looking at the response so the response is actually a degree of
73:42 so the response is actually a degree of efficacy of 10 milligrams of oxycodone
73:44 efficacy of 10 milligrams of oxycodone will produce a higher efficacious
73:46 will produce a higher efficacious response than compared to aspirin at any
73:49 response than compared to aspirin at any dose that means that oxycodone is more
73:52 dose that means that oxycodone is more efficacious than aspirin is because
73:54 efficacious than aspirin is because again we're looking at the response not
73:56 again we're looking at the response not the dose that we need to attain the same
73:59 the dose that we need to attain the same response so in this case it's more
74:01 response so in this case it's more efficacious for oxycodone
74:04 efficacious for oxycodone okay
74:05 okay all right in the presence of propanol
74:07 all right in the presence of propanol a higher concentration of epinephrine is
74:10 a higher concentration of epinephrine is required to elicit full anti-asthmatic
74:14 required to elicit full anti-asthmatic activity propanol has no effect on
74:16 activity propanol has no effect on asthma symptoms which is correct
74:19 asthma symptoms which is correct regarding these medications
74:21 regarding these medications so what you're trying to look at is
74:23 so what you're trying to look at is you're trying to look at particularly
74:25 you're trying to look at particularly here again for presence of propranolol a
74:27 here again for presence of propranolol a higher concentration of epinephrine is
74:29 higher concentration of epinephrine is required to elicit a full
74:31 required to elicit a full anti-asthmatic activity propanol has no
74:33 anti-asthmatic activity propanol has no effect on asthma symptoms which is
74:35 effect on asthma symptoms which is correct regarding these medications
74:37 correct regarding these medications so when you look at this we're looking
74:38 so when you look at this we're looking at now agonist and partial agonists etc
74:41 at now agonist and partial agonists etc so
74:42 so if i get propanol
74:44 if i get propanol i need to increase the concentration of
74:47 i need to increase the concentration of my epinephrine
74:48 my epinephrine to be able to reach the full antismatic
74:50 to be able to reach the full antismatic activity well epinephrine will act in
74:52 activity well epinephrine will act in this case is kind of like wanting to be
74:54 this case is kind of like wanting to be able to act as a full agonist in this
74:56 able to act as a full agonist in this situation that's what epinephrine wants
74:57 situation that's what epinephrine wants to be able to do it wants to be able to
74:59 to be able to do it wants to be able to produce bronchodilation
75:01 produce bronchodilation if you give her panel off her panel law
75:03 if you give her panel off her panel law is going to try to be able to block that
75:05 is going to try to be able to block that in a particular way
75:07 in a particular way because of that propanol since it has no
75:10 because of that propanol since it has no effect on asthma symptoms it's not
75:12 effect on asthma symptoms it's not really going to act as like you know in
75:13 really going to act as like you know in this situation here it's not really
75:15 this situation here it's not really going to work as an agonist because it
75:16 going to work as an agonist because it has no effect on asthma symptoms so
75:18 has no effect on asthma symptoms so therefore it can't act as an agonist
75:21 therefore it can't act as an agonist if that's the case then i have to
75:22 if that's the case then i have to increase the concentration of my
75:24 increase the concentration of my epinephrine to be able to reach the full
75:27 epinephrine to be able to reach the full activity that means the propanol is
75:29 activity that means the propanol is acting as a beta blocker so i'm going to
75:32 acting as a beta blocker so i'm going to have to increase the concentration of
75:33 have to increase the concentration of epinephrine to block to push him out of
75:35 epinephrine to block to push him out of that beta receptor site to produce the
75:38 that beta receptor site to produce the same effect
75:39 same effect if you remember
75:41 if you remember this diagram here this was competitive
75:43 this diagram here this was competitive antagonist non-competitive antagonist
75:47 antagonist non-competitive antagonist so if you look here for competitive
75:48 so if you look here for competitive antagonists what do we need to do to
75:50 antagonists what do we need to do to produce the same efficacious response so
75:52 produce the same efficacious response so imagine here
75:54 imagine here is just going to be epinephrine okay
75:56 is just going to be epinephrine okay here's its efficacious response this is
75:58 here's its efficacious response this is the dose that we can give if we give
76:00 the dose that we can give if we give propanol propanol is actually going to
76:03 propanol propanol is actually going to take up some of those receptors and
76:04 take up some of those receptors and block epinephrine so then what i'm going
76:06 block epinephrine so then what i'm going to have to do is increase the
76:08 to have to do is increase the concentration of my epinephrine even
76:11 concentration of my epinephrine even more so my ec50 is going to increase so
76:13 more so my ec50 is going to increase so the potency of my drug is less
76:15 the potency of my drug is less and so because of that i'm going to have
76:17 and so because of that i'm going to have to increase the concentration of
76:18 to increase the concentration of epinephrine to push some of the
76:19 epinephrine to push some of the perpendicular out to get the same
76:22 perpendicular out to get the same efficacy
76:23 efficacy so in this situation i would say
76:24 so in this situation i would say epinephrine is definitely a full agonist
76:27 epinephrine is definitely a full agonist propanol is a partial agonist no because
76:30 propanol is a partial agonist no because it has it says here propanol has no
76:32 it has it says here propanol has no effect on asthma symptoms so usually
76:34 effect on asthma symptoms so usually that means that it's an antagonist
76:36 that means that it's an antagonist so epinephrine is an agonist that is
76:38 so epinephrine is an agonist that is true and propanol is a non-competitive
76:40 true and propanol is a non-competitive antagonist no because if you look at
76:42 antagonist no because if you look at this situation
76:43 this situation even if i increase the concentration
76:45 even if i increase the concentration here
76:46 here of my actual epinephrine again it's not
76:49 of my actual epinephrine again it's not going to be able to reach the max effect
76:51 going to be able to reach the max effect so again usually with non-competitive
76:54 so again usually with non-competitive antagonists there's no change in actual
76:56 antagonists there's no change in actual potency potency changes with only
76:58 potency potency changes with only competitive antagonists efficacy changes
77:00 competitive antagonists efficacy changes with non-competitive antagonists we're
77:02 with non-competitive antagonists we're still trying to elicit the full
77:03 still trying to elicit the full antisemitic activity so in this
77:05 antisemitic activity so in this situation i would say epinephrine is the
77:08 situation i would say epinephrine is the agonist trying to produce the
77:09 agonist trying to produce the bronchodilation per panel is the
77:12 bronchodilation per panel is the competitive antagonist trying to produce
77:14 competitive antagonist trying to produce no actual benefit on asthma symptoms but
77:16 no actual benefit on asthma symptoms but if i increase the concentration of my
77:18 if i increase the concentration of my epinephrine i can beat some of the upper
77:20 epinephrine i can beat some of the upper panel out of the beta receptor site and
77:22 panel out of the beta receptor site and increase the actual efficacy of its
77:25 increase the actual efficacy of its effect but it's going to have to be at
77:26 effect but it's going to have to be at higher dosages so with this being said i
77:29 higher dosages so with this being said i would say that epinephrine is an agonist
77:31 would say that epinephrine is an agonist and propanol is a competitive antagonist
77:33 and propanol is a competitive antagonist the key thing here is here is the
77:35 the key thing here is here is the antagonist and you can tell it's an
77:37 antagonist and you can tell it's an antagonist because when it says
77:38 antagonist because when it says perpendicular has no effect on asthma
77:40 perpendicular has no effect on asthma symptoms that meaning it can't be as an
77:42 symptoms that meaning it can't be as an it can't be an agonist if you give a
77:44 it can't be an agonist if you give a drug and you're trying to look at the
77:45 drug and you're trying to look at the actual effect of that drug in this
77:47 actual effect of that drug in this situation because it has no effect
77:50 situation because it has no effect we're going to say it's more of an
77:51 we're going to say it's more of an antagonist it definitely won't have
77:52 antagonist it definitely won't have agonistic effects so it automatically
77:55 agonistic effects so it automatically gets rid of
77:56 gets rid of b then you come down to the point here
77:59 b then you come down to the point here where you're trying to look at is it a
78:01 where you're trying to look at is it a competitive and non-competitive
78:03 competitive and non-competitive antagonist well the way that we tell is
78:05 antagonist well the way that we tell is based upon the way they write this we
78:06 based upon the way they write this we know in the presence of perpendicular a
78:09 know in the presence of perpendicular a higher concentration of epinephrine is
78:12 higher concentration of epinephrine is required to produce the same efficacy
78:15 required to produce the same efficacy so efficacy is staying the same look
78:18 so efficacy is staying the same look efficacy changes here
78:20 efficacy changes here but i require a larger dosage of the
78:22 but i require a larger dosage of the drug meaning that the curve shifts to
78:24 drug meaning that the curve shifts to the right i have to increase the
78:26 the right i have to increase the concentration of my epinephrine my
78:28 concentration of my epinephrine my agonist
78:29 agonist in the presence of a competitive
78:31 in the presence of a competitive antagonist and that's why this answer is
78:33 antagonist and that's why this answer is the correct answer c
78:35 the correct answer c all right
78:37 all right let's see if we can actually test your
78:38 let's see if we can actually test your knowledge again here we go in the
78:39 knowledge again here we go in the presence of picker toxin diazepam is
78:42 presence of picker toxin diazepam is less efficacious
78:44 less efficacious at causing sedation regardless of the
78:47 at causing sedation regardless of the dose you see the way the word of that
78:49 dose you see the way the word of that picker toxin has no sedative effect
78:52 picker toxin has no sedative effect meaning it's not an agonist
78:54 meaning it's not an agonist even at the highest dose which of the
78:56 even at the highest dose which of the following is correct regarding these
78:57 following is correct regarding these agents so think about this guys
79:00 agents so think about this guys in the presence of picker toxin diazepam
79:03 in the presence of picker toxin diazepam which is going to be in this situation
79:05 which is going to be in this situation providing sedation so it's an agonist
79:08 providing sedation so it's an agonist if you give picrotoxin diazepam is less
79:11 if you give picrotoxin diazepam is less efficacious meaning that this is not
79:13 efficacious meaning that this is not going to shift to the right it shifts
79:15 going to shift to the right it shifts down efficacy is decreasing in this
79:18 down efficacy is decreasing in this situation here where you have your
79:20 situation here where you have your agonist and then the presence of an
79:22 agonist and then the presence of an agonist and some type of antagonist in
79:25 agonist and some type of antagonist in this situation picrotoxin is a
79:27 this situation picrotoxin is a non-competitive antagonist and it's
79:29 non-competitive antagonist and it's decreasing the efficacy of diazepam
79:33 decreasing the efficacy of diazepam so in this situation picker toxin is a
79:35 so in this situation picker toxin is a competitive no picker toxin a
79:36 competitive no picker toxin a non-competitive yes diazepam is less
79:39 non-competitive yes diazepam is less efficacious than has nothing to do with
79:40 efficacious than has nothing to do with it because again we're looking at
79:42 it because again we're looking at in the situation here diazepam
79:45 in the situation here diazepam is less efficacious in the presence of
79:47 is less efficacious in the presence of picker toxin not in comparison to this
79:48 picker toxin not in comparison to this because picker toxin has no effect on
79:50 because picker toxin has no effect on sedation diazepam is less potent than
79:53 sedation diazepam is less potent than pickertox and again not a comparison
79:54 pickertox and again not a comparison that we're making in this situation
79:56 that we're making in this situation picrotoxin is a non-competitive
79:58 picrotoxin is a non-competitive antagonist all right let's move on to
80:00 antagonist all right let's move on to another question here so it says here in
80:02 another question here so it says here in this question which of the following up
80:03 this question which of the following up regulates post-synaptic alpha-1
80:06 regulates post-synaptic alpha-1 adrenergic receptors
80:08 adrenergic receptors all right so daily use of amphetamine
80:10 all right so daily use of amphetamine that causes release of neural
80:12 that causes release of neural epinephrine
80:13 epinephrine okay so it's just saying if you use
80:15 okay so it's just saying if you use amphetamine basically the amphetamines
80:16 amphetamine basically the amphetamines will potentially continue to cause
80:18 will potentially continue to cause the release of norepinephrine and maybe
80:20 the release of norepinephrine and maybe that'll act on those alpha-1 adrenergic
80:22 that'll act on those alpha-1 adrenergic receptors and potentially help to
80:23 receptors and potentially help to upregulate them because of repeated
80:25 upregulate them because of repeated exposure that doesn't actually
80:27 exposure that doesn't actually completely
80:29 completely kind of go in line with this and the
80:31 kind of go in line with this and the reason why
80:32 reason why is that if a patient is using
80:33 is that if a patient is using amphetamines daily and that causes the
80:35 amphetamines daily and that causes the release of norepinephrine it'll act on
80:38 release of norepinephrine it'll act on those alpha-1 adrenergic receptors
80:39 those alpha-1 adrenergic receptors pretty consistently and they'll get kind
80:41 pretty consistently and they'll get kind of like over-stimulated and a way to
80:43 of like over-stimulated and a way to protect themselves is to regulate so i
80:46 protect themselves is to regulate so i don't think that's the correct answer
80:48 don't think that's the correct answer and being a
80:49 and being a a disease that causes an increase in the
80:52 a disease that causes an increase in the activity of norepinephrine
80:55 activity of norepinephrine neurons
80:57 neurons so in this situation here we're saying
80:59 so in this situation here we're saying some disease that causes an increase in
81:01 some disease that causes an increase in the activity of these norepinephrine
81:02 the activity of these norepinephrine neurons so it's saying that these
81:04 neurons so it's saying that these neurons are releasing more
81:06 neurons are releasing more norepinephrine consistently meaning that
81:08 norepinephrine consistently meaning that it's acting on the alpha one and or
81:10 it's acting on the alpha one and or adrenergic receptors over stimulating
81:12 adrenergic receptors over stimulating them
81:13 them if they're over stimulating them they
81:14 if they're over stimulating them they wouldn't up regulate they would
81:16 wouldn't up regulate they would potentially develop a response to down
81:17 potentially develop a response to down regulate in response to all of that so
81:19 regulate in response to all of that so that again can't be the right answer
81:20 that again can't be the right answer saying that a and b are the same thing
81:24 saying that a and b are the same thing daily use of phenylephrine an alpha one
81:26 daily use of phenylephrine an alpha one receptor agonist
81:28 receptor agonist so again this is another way of saying
81:29 so again this is another way of saying okay you have
81:31 okay you have daily use of phenylephrine it's going to
81:32 daily use of phenylephrine it's going to act on the alpha-1 receptor
81:33 act on the alpha-1 receptor overstimulate it cause it to again cause
81:36 overstimulate it cause it to again cause an increase in vasoconstriction and
81:37 an increase in vasoconstriction and again over time the cell will say this
81:40 again over time the cell will say this is too much of this type of response
81:42 is too much of this type of response can't tolerate it don't like it i'm
81:45 can't tolerate it don't like it i'm going to decrease the number of
81:46 going to decrease the number of receptors that you can't bind to me so
81:48 receptors that you can't bind to me so again it's the same as a b and c so that
81:50 again it's the same as a b and c so that leaves d so d has got to be the right
81:51 leaves d so d has got to be the right answer then right
81:53 answer then right well how would it be that answer
81:55 well how would it be that answer daily use of prasasin is an alpha 1
81:57 daily use of prasasin is an alpha 1 receptor antagonist so it's going to
81:58 receptor antagonist so it's going to bind to the alpha 1 adrenergic receptor
82:00 bind to the alpha 1 adrenergic receptor and block
82:02 and block any other drug from being able to bind
82:03 any other drug from being able to bind to it now that's kind of a problem and
82:05 to it now that's kind of a problem and the reason why is is what in certain
82:07 the reason why is is what in certain situations we maybe want to stimulate
82:09 situations we maybe want to stimulate that alpha-1 adrenergic receptor you're
82:11 that alpha-1 adrenergic receptor you're not going to be able to because you have
82:12 not going to be able to because you have a practicing bound to it
82:14 a practicing bound to it and so if you need an agonist to come
82:16 and so if you need an agonist to come and stimulate it guess what it's blocked
82:18 and stimulate it guess what it's blocked by praises in so in that situation where
82:20 by praises in so in that situation where maybe you do need to stimulate that that
82:22 maybe you do need to stimulate that that receptor guess what i'm going to have to
82:24 receptor guess what i'm going to have to kind of up regulate more risk more
82:26 kind of up regulate more risk more receptors available
82:27 receptors available for one of those agonists like
82:29 for one of those agonists like phenylephrine or norepinephrine or
82:30 phenylephrine or norepinephrine or epinephrine to bind to that's the only
82:32 epinephrine to bind to that's the only way i'm going to make more receptors so
82:34 way i'm going to make more receptors so that because of practicing binding to
82:36 that because of practicing binding to the alpha-1 receptors right now if i
82:38 the alpha-1 receptors right now if i make more receptors maybe i'll have more
82:40 make more receptors maybe i'll have more spots for the agonists like
82:41 spots for the agonists like phenylephrine and norepinephrine or
82:42 phenylephrine and norepinephrine or epinephrine to bind to so it's got to be
82:44 epinephrine to bind to so it's got to be d
82:46 d okay so up regulates because again it
82:48 okay so up regulates because again it needs receptors that are available for
82:50 needs receptors that are available for it to bind to agonists because right now
82:53 it to bind to agonists because right now let's say that right here is your alpha
82:55 let's say that right here is your alpha 1 receptor and let's pretend that these
82:57 1 receptor and let's pretend that these were not here you only have two
82:59 were not here you only have two receptors and processing down here
83:01 receptors and processing down here processing bound here
83:03 processing bound here well now you have no other receptor for
83:05 well now you have no other receptor for epinephrine norepinephrine epinephrine
83:06 epinephrine norepinephrine epinephrine to bind to so what's going to happen is
83:08 to bind to so what's going to happen is you're going to try to make more and
83:09 you're going to try to make more and more receptors that'll be open for
83:11 more receptors that'll be open for epinephrine norepinephrine or
83:13 epinephrine norepinephrine or phenylephrine to bind to to be able to
83:15 phenylephrine to bind to to be able to produce an agonistic response so that's
83:17 produce an agonistic response so that's a little concept
83:18 a little concept there okay question number nine
83:21 there okay question number nine methylphenidate helps patients with
83:23 methylphenidate helps patients with attention deficit hyperactivity disorder
83:25 attention deficit hyperactivity disorder maintain attention to perform better at
83:26 maintain attention to perform better at school or at work
83:27 school or at work with an ed50 and again that's the dose
83:30 with an ed50 and again that's the dose that you want to give to
83:32 that you want to give to 50 percent of the population that would
83:34 50 percent of the population that would have an actual clinically desired effect
83:36 have an actual clinically desired effect that's 10 milligrams
83:38 that's 10 milligrams however methylfinity can also cause side
83:41 however methylfinity can also cause side effects so significant nausea at higher
83:44 effects so significant nausea at higher doses so td50 which is the dose that you
83:47 doses so td50 which is the dose that you would give to 50 of the population to
83:49 would give to 50 of the population to cause a toxic effect that's 30
83:52 cause a toxic effect that's 30 milligrams
83:53 milligrams so what is the correct
83:55 so what is the correct what is which one of the following is
83:57 what is which one of the following is correct regarding methylphenidate
83:59 correct regarding methylphenidate so in this situation i would need to
84:01 so in this situation i would need to take what
84:02 take what i would need to be able to take my
84:05 i would need to be able to take my in this situation here my td 50 and my
84:08 in this situation here my td 50 and my ed50 and plug it into a particular
84:10 ed50 and plug it into a particular equation
84:11 equation and that equation is the therapeutic
84:13 and that equation is the therapeutic index the therapeutic index is the td50
84:16 index the therapeutic index is the td50 so 30 milligrams divided by the ed50
84:19 so 30 milligrams divided by the ed50 which is 10 milligrams what does that
84:20 which is 10 milligrams what does that give me 30 divided by 10 is 3. so my
84:23 give me 30 divided by 10 is 3. so my therapeutic index is 3.
84:26 therapeutic index is 3. what that helps me to understand is
84:28 what that helps me to understand is is the range that i have
84:31 is the range that i have to basically what's the window what's my
84:34 to basically what's the window what's my margin of error
84:35 margin of error that i have so if i give 10 milligrams
84:38 that i have so if i give 10 milligrams i'll produce my desired effect
84:40 i'll produce my desired effect and at 30 milligrams i'll produce a
84:42 and at 30 milligrams i'll produce a toxic effect the kind of window where i
84:44 toxic effect the kind of window where i have a good degree of desired effect
84:47 have a good degree of desired effect before i reach a toxic effect is my
84:49 before i reach a toxic effect is my therapeutic index the narrower your
84:51 therapeutic index the narrower your therapeutic index the
84:53 therapeutic index the you know the risk of toxic adverse
84:55 you know the risk of toxic adverse effects are higher because the margin of
84:57 effects are higher because the margin of error is very very tiny with a very
85:00 error is very very tiny with a very large therapeutic index there's a very
85:02 large therapeutic index there's a very low risk of toxic side effects because
85:04 low risk of toxic side effects because the margin of error is huge you could
85:06 the margin of error is huge you could give a very large dose and still not
85:07 give a very large dose and still not produce that toxic effect so remember
85:10 produce that toxic effect so remember that relationship here but the basic
85:12 that relationship here but the basic answer to the question is that the
85:13 answer to the question is that the therapeutic index of methylphenidate is
85:16 therapeutic index of methylphenidate is three
85:17 three all right and again take that into
85:19 all right and again take that into consideration when you're talking about
85:21 consideration when you're talking about the safety of a drug all right guys
85:23 the safety of a drug all right guys let's move on to question number ten so
85:25 let's move on to question number ten so again we're going to talk a little bit
85:26 again we're going to talk a little bit about safety here so which of the
85:28 about safety here so which of the following is the correct answer
85:29 following is the correct answer concerning the safety of using warfarin
85:31 concerning the safety of using warfarin small therapeutic index versus
85:32 small therapeutic index versus penicillin with a large therapeutic
85:34 penicillin with a large therapeutic index
85:35 index so we know that with this being said
85:37 so we know that with this being said here the higher your therapeutic index
85:40 here the higher your therapeutic index right the safer the actual drug is
85:43 right the safer the actual drug is likely to be okay that's for most
85:46 likely to be okay that's for most patients but it wouldn't be for like
85:47 patients but it wouldn't be for like every single patient
85:49 every single patient okay but i'd say for most patients so
85:52 okay but i'd say for most patients so the smaller the therapeutic index more
85:54 the smaller the therapeutic index more dangerous higher the therapeutic index
85:56 dangerous higher the therapeutic index more safe but again that's not for every
85:58 more safe but again that's not for every single patient there's obviously
86:00 single patient there's obviously contingencies in that situation here
86:02 contingencies in that situation here so let's go through this answer here
86:04 so let's go through this answer here orphan is a safer drug because it has a
86:06 orphan is a safer drug because it has a low therapeutic index now we already
86:07 low therapeutic index now we already said low is dangerous
86:10 said low is dangerous um this is kind of the same situation
86:11 um this is kind of the same situation the higher the therapeutic index the
86:13 the higher the therapeutic index the high therapeutic index makes penicillin
86:15 high therapeutic index makes penicillin a safer drug for all patients i'd say
86:17 a safer drug for all patients i'd say for most patients not for all patients
86:19 for most patients not for all patients okay again
86:20 okay again not absolutely the correct answer it's
86:22 not absolutely the correct answer it's relatively close but it's not the best
86:24 relatively close but it's not the best answer here
86:25 answer here warfarin treatment has a high chance of
86:27 warfarin treatment has a high chance of resulting in dangerous adverse effects
86:29 resulting in dangerous adverse effects if bioavailability is altered
86:31 if bioavailability is altered i'd say that's yeah it's likely the
86:33 i'd say that's yeah it's likely the right answer the reason why is look at
86:35 right answer the reason why is look at warfarin it's a small therapeutic index
86:37 warfarin it's a small therapeutic index so because that has a high risk of
86:39 so because that has a high risk of dangerous adverse effects and if you
86:40 dangerous adverse effects and if you alter his bioavailability so let's say
86:41 alter his bioavailability so let's say for whatever reason
86:43 for whatever reason i don't know
86:44 i don't know you give this particular drug and in
86:46 you give this particular drug and in some way shape or form you know
86:48 some way shape or form you know you are taking something with it that
86:51 you are taking something with it that actually has the amount of the drug that
86:53 actually has the amount of the drug that usually it's supposed to be
86:54 usually it's supposed to be bioavailability a bioavailable uh
86:57 bioavailability a bioavailable uh bioavailability of that dosage is
86:58 bioavailability of that dosage is usually i'm just making it up 50
87:01 usually i'm just making it up 50 okay when you take it orally
87:02 okay when you take it orally and then afterwards you
87:05 and then afterwards you have another medication that you're
87:06 have another medication that you're taking it with you have a problem with
87:07 taking it with you have a problem with your absorption process something
87:09 your absorption process something happens where you're taking another drug
87:11 happens where you're taking another drug with it and the bioavailability of that
87:13 with it and the bioavailability of that drug the amount of drug that gets into
87:14 drug the amount of drug that gets into the systemic circulation is increase
87:16 the systemic circulation is increase from 50 to 80 percent now there's more
87:19 from 50 to 80 percent now there's more of that drug in the bloodstream and
87:21 of that drug in the bloodstream and therefore the actual toxic effect is
87:23 therefore the actual toxic effect is going to be higher easier to reach
87:25 going to be higher easier to reach so because of that i would say that this
87:27 so because of that i would say that this would be the right answer warfarin
87:28 would be the right answer warfarin definitely has a very small therapeutic
87:30 definitely has a very small therapeutic index so anything that alters its
87:32 index so anything that alters its bioavailability which can actually cause
87:34 bioavailability which can actually cause higher amounts of the drug to be in the
87:36 higher amounts of the drug to be in the circulation can definitely produce
87:37 circulation can definitely produce dangerous adverse effects so i would say
87:39 dangerous adverse effects so i would say would be b
87:40 would be b okay and again you can remember this by
87:42 okay and again you can remember this by the sad face again the drugs with a very
87:44 the sad face again the drugs with a very small therapeutic index
87:46 small therapeutic index very very dangerous side effects if it's
87:48 very very dangerous side effects if it's actually going to lead to higher
87:49 actually going to lead to higher concentrations of the drug
87:51 concentrations of the drug with this one smiley face is a large
87:52 with this one smiley face is a large therapeutic index you could give this
87:54 therapeutic index you could give this and the bioavailability wouldn't
87:55 and the bioavailability wouldn't actually be a big deal because again
87:56 actually be a big deal because again it's going to be really hard to cause
87:58 it's going to be really hard to cause adverse effects you could give it
88:00 adverse effects you could give it and even at high concentrations of the
88:02 and even at high concentrations of the drug you're still not going to produce
88:03 drug you're still not going to produce the toxic side effect you have a very
88:05 the toxic side effect you have a very larger you know range to be able to kind
88:08 larger you know range to be able to kind of give drug dosages without causing
88:10 of give drug dosages without causing that nasty toxic effect so i'd say this
88:12 that nasty toxic effect so i'd say this would definitely be the right answer
88:13 would definitely be the right answer here b
88:14 here b all right guys we went through a couple
88:16 all right guys we went through a couple examples here we went through a lot in
88:17 examples here we went through a lot in this video i hope it made sense i hope
88:18 this video i hope it made sense i hope that you guys really did enjoy it and as
88:20 that you guys really did enjoy it and as always until next time
88:41 [Music] you