Literature DB >> 8823669

Calculation of agonist efficacy, apparent affinity, and receptor population changes after administration of insurmountable antagonists: comparison of different analytical approaches.

G Zernig1, T Issaevitch, J H Woods.   

Abstract

The determination of the affinity and efficacy of an agonist in functional (as opposed to radioligand binding) experiments is necessary to explain its potency. Using modeled dose-response data both in their ideal form and with an added average deviation as well as previously published experimental data, a variety of analytical approaches were compared which differed in goodness-of-fit, ease of handling, and range of successful application. A nonlinear curve-fitting algorithm that analyzed several dose-response curves simultaneously and fitted them to an extended version of the operational model of Black and Leff (1983) (Proc R Soc Lond B 220:141-162) was demonstrated to be superior to the other approaches using the above criteria. However, judging from the limitations of the analytical approaches, claims of efficacy or affinity differences between agonists that are based on less than 10-fold numerical differences in the same behavioral paradigm should be viewed with skepticism. It was also found that simple inspection of dose-response curves obtained before and after administration of an insurmountable antagonist give estimates of fair accuracy under most circumstances.

Mesh:

Substances:

Year:  1996        PMID: 8823669     DOI: 10.1016/1056-8719(96)00053-6

Source DB:  PubMed          Journal:  J Pharmacol Toxicol Methods        ISSN: 1056-8719            Impact factor:   1.950


  8 in total

1.  Making the Case for 'Power Abuse Disorder' as a Nosologic Entity.

Authors:  Gerald Zernig; Christoph Hiemke
Journal:  Pharmacology       Date:  2017-05-04       Impact factor: 2.547

2.  Clocinnamox inhibits the intravenous self-administration of opioid agonists in rhesus monkeys: comparison with effects on opioid agonist-mediated antinociception.

Authors:  G Zernig; J W Lewis; J H Woods
Journal:  Psychopharmacology (Berl)       Date:  1997-02       Impact factor: 4.530

3.  Buprenorphine/naloxone reduces the reinforcing and subjective effects of heroin in heroin-dependent volunteers.

Authors:  Sandra D Comer; Ellen A Walker; Eric D Collins
Journal:  Psychopharmacology (Berl)       Date:  2005-09-29       Impact factor: 4.530

4.  Hydromorphone efficacy and treatment protocol impact on tolerance and mu-opioid receptor regulation.

Authors:  Priyank Kumar; Soujanya Sunkaraneni; Sunil Sirohi; Shveta V Dighe; Ellen A Walker; Byron C Yoburn
Journal:  Eur J Pharmacol       Date:  2008-08-30       Impact factor: 4.432

Review 5.  Buprenorphine maintenance and mu-opioid receptor availability in the treatment of opioid use disorder: implications for clinical use and policy.

Authors:  Mark K Greenwald; Sandra D Comer; David A Fiellin
Journal:  Drug Alcohol Depend       Date:  2014-08-19       Impact factor: 4.492

6.  Dosing protocol and analgesic efficacy determine opioid tolerance in the mouse.

Authors:  Priyanka A Madia; Shveta V Dighe; Sunil Sirohi; Ellen A Walker; Byron C Yoburn
Journal:  Psychopharmacology (Berl)       Date:  2009-10-09       Impact factor: 4.530

7.  The analgesic efficacy of fentanyl: relationship to tolerance and mu-opioid receptor regulation.

Authors:  Sunil Sirohi; Shveta V Dighe; Ellen A Walker; Byron C Yoburn
Journal:  Pharmacol Biochem Behav       Date:  2008-06-30       Impact factor: 3.533

8.  Opioid agonist efficacy predicts the magnitude of tolerance and the regulation of mu-opioid receptors and dynamin-2.

Authors:  Mohit Pawar; Priyank Kumar; Soujanya Sunkaraneni; Sunil Sirohi; Ellen A Walker; Byron C Yoburn
Journal:  Eur J Pharmacol       Date:  2007-02-08       Impact factor: 4.432

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.