Elm 5 Antagonists to Agonists Flashcards

1
Q

Q: What is the Functional Hill-Langmuir (H-L) equation used for?

A

A: The Functional H-L equation describes receptor activation and the relationship between drug concentration or dose and the effect produced by the drug.

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2
Q

Q: What does the Functional Gaddum equation describe?

A

A: The Functional Gaddum equation describes the actions of a competitive antagonist in a functional assay, detailing the effect of a competitive antagonist on receptor activation.

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3
Q

Q: Define potency and efficacy in pharmacology.

A

A: Potency refers to the concentration or dose of a drug needed to produce an effect, while efficacy is the tendency of a drug to activate a receptor once bound to it.

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4
Q

Q: What is the difference between a full agonist and a partial agonist?

A

A: A full agonist is a drug whose efficacy is the same as the natural agonist at the receptor, while a partial agonist has lower efficacy compared to the natural agonist.

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5
Q

Q: What do EC50 and ED50 represent in pharmacology?

A

A: EC50 and ED50 represent the concentration or dose of a drug needed to give 50% of the maximal effect that the drug can achieve, measuring potency.

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6
Q

Q: Define antagonist and describe the difference between competitive and non-competitive antagonists.

A

A: An antagonist is a drug that binds to a receptor but has zero efficacy. A competitive antagonist binds to the same site as the agonist, while a non-competitive antagonist binds to a different site and blocks receptor activation allosterically.

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7
Q

Q: What does Ki represent in pharmacology, particularly in the context of competitive antagonists?

A

A: Ki represents the equilibrium dissociation constant for a competitive antagonist, indicating the affinity of the antagonist for the receptor.

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8
Q

Q: Why does understanding receptor function matter in pharmacology?

A

A: Understanding receptor function is crucial for predicting the therapeutic effects and side effects of drugs, as agonists produce more of the receptor’s effect while antagonists produce less.

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9
Q

Q: What are some examples of functional assays used in pharmacology?

A

A: Functional assays include biochemical assays measuring intracellular messages, whole organism assays assessing physiological changes, electrophysiology to measure membrane potential changes, and organ bath assays measuring changes in organ function.

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10
Q

Q: What relationship is typically observed between agonist concentration and the concentration of the secondary messenger cAMP in cultured cells expressing B1 adrenoreceptors?

A

A: The relationship is typically a rectangular hyperbola, indicating a saturable response.

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11
Q

Q: How is the Functional Hill-Langmuir (H-L) equation modified to describe the relationship between agonist concentration and the effect produced in functional assays?

A

A: The equation is modified to include parameters such as Emax (maximal effect) and EC50 (half-maximal effective concentration): E = Emax * [D] / (EC50 + [D]).

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12
Q

Q: Why is a logarithmic x-axis often used when plotting functional assay data?

A

A: Using a logarithmic x-axis helps spread out the data points, particularly at low concentrations where EC50 lies, making it easier to interpret the data, especially when determining logEC50.

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13
Q

Q: What does EC50 represent in pharmacology, particularly in functional assays?

A

A: EC50 represents the concentration of an agonist needed to produce 50% of the maximal effect that the drug can achieve. It is a measure of potency.

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14
Q

Q: How does EC50 depend on various factors in a signal cascade involving receptors, G proteins, and enzymes?

A

A: EC50 can depend on factors such as the ratio of receptors to G proteins, the number of G proteins activated by each receptor, the ratio of G proteins to enzymes, the stability of the product, and events downstream of cAMP.

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15
Q

Q: How is EC50 used to make potency and selectivity comparisons between drugs?

A

A: EC50 is used to compare the potency of drugs, with smaller EC50 values indicating higher potency. It is also used to compare selectivity, where differences in EC50 values for different receptors indicate the selectivity of a drug for one receptor over another.

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16
Q

Q: What does efficacy refer to in pharmacology, particularly in the context of agonists?

A

A: Efficacy describes how well a drug activates a receptor once it’s bound. Natural agonists typically have 100% efficacy.

17
Q

Q: How are full agonists and partial agonists distinguished based on their efficacy?

A

A: Full agonists produce the same effect as the natural agonist and have 100% efficacy, while partial agonists have lower efficacy, producing a submaximal response even when all receptors are occupied.

18
Q

Q: What distinguishes competitive antagonists from agonists in terms of their mode of action?

A

A: Competitive antagonists bind to the receptor but do not activate it. They compete with agonists for receptor binding but do not produce any effect themselves.

19
Q

Q: How is the Functional Gaddum equation used to predict the effect of a competitive antagonist on agonist activity?

A

A: The equation describes the effect of both the agonist and the antagonist on the maximal response (Emax). In the presence of the antagonist, more agonist is required to achieve the same effect, leading to an increase in the apparent EC50 of the agonist.

20
Q

Q: What are the characteristic effects observed when a reversible competitive antagonist is present in pharmacological experiments?

A

A: In the presence of a reversible competitive antagonist, there is typically no change in the maximal response produced by the agonist, but there is an increase in the apparent EC50 of the agonist. This is observed as a parallel shift of the concentration-effect curve to the right.

21
Q

Q: How do competitive antagonists affect the apparent potency of agonists in pharmacological assays?

A

A: Competitive antagonists increase the apparent EC50 of agonists, requiring higher concentrations of agonists to achieve the same effect in the presence of the antagonist compared to control conditions.

22
Q

Q: How does a non-competitive antagonist differ from a reversible competitive antagonist in terms of their mode of action?

A

A: A non-competitive antagonist binds to a site on the receptor distinct from the agonist binding site and changes the receptor’s conformation, making it unable to be activated by the agonist. In contrast, reversible competitive antagonists compete with the agonist for binding to the same site on the receptor, but their binding is surmountable.

23
Q

Q: What is a characteristic feature of non-competitive antagonism that distinguishes it from reversible competitive antagonism?

A

A: Non-competitive antagonists produce insurmountable antagonism, meaning that increasing the concentration of the agonist cannot overcome the inhibitory effect of the antagonist. In contrast, reversible competitive antagonists can be overcome by increasing the concentration of the agonist.

24
Q

Q: How do irreversible competitive antagonists differ from non-competitive antagonists?

A

A: Irreversible competitive antagonists form covalent bonds with the receptor or have slow dissociation rates, leading to permanent or long-lasting inhibition of receptor function. Non-competitive antagonists, on the other hand, bind to the receptor without forming covalent bonds and typically induce reversible conformational changes in the receptor.

25
Q

Q: What factors influence the concentration of a drug at its target site in the body?

A

A: Factors influencing drug concentration at the target site include oral administration, absorption from the gastrointestinal tract, distribution across biological barriers, metabolism, and excretion. Each of these processes affects the bioavailability and ultimately the concentration of the drug reaching the target site.

26
Q

Q: How is dose typically adjusted in clinical settings, and what factors might influence weight-based dosing in veterinary medicine?

A

A: In clinical settings, doses are often standardized for most patients, with adjustments made based on factors such as age, renal function, and hepatic function. In veterinary medicine, weight-based dosing is crucial due to the wide range of body sizes among different animal species, particularly in dogs, which exhibit a considerable diversity in body weight.