Literature DB >> 17259955

Drug interaction studies: study design, data analysis, and implications for dosing and labeling.

S-M Huang1, R Temple, D C Throckmorton, L J Lesko.   

Abstract

One of the most effective ways in which regulatory agencies communicate with sponsors and guide drug development is through the issuance of guidances or guidelines. These can be issued domestically in a given region such as the United States by the Food and Drug Administration (FDA) or internationally through the International Conference on Harmonization. Currently, there are over 400 final or draft guidances that can be found through the FDA website. The development of guidances proceeds through a process known as Good Guidance Practices, which is intended to assure that there is an appropriate level of meaningful public participation in the development of guidance. In the past 10 years, clinical pharmacology guidances covering important areas have been issued, including pharmacokinetic data in patients with renal and hepatic impairment, dose-response studies, and drug-drug interactions.

Entities:  

Mesh:

Year:  2007        PMID: 17259955     DOI: 10.1038/sj.clpt.6100054

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  88 in total

1.  A quantitative framework and strategies for management and evaluation of metabolic drug-drug interactions in oncology drug development: new molecular entities as object drugs.

Authors:  Karthik Venkatakrishnan; Michael D Pickard; Lisa L von Moltke
Journal:  Clin Pharmacokinet       Date:  2010-11       Impact factor: 6.447

2.  Clinical pharmacodynamics and pharmacokinetics of the antifungal extended-spectrum triazole posaconazole: an overview.

Authors:  Hans-Peter Lipp
Journal:  Br J Clin Pharmacol       Date:  2010-10       Impact factor: 4.335

Review 3.  Role of biotransformation in drug-induced toxicity: influence of intra- and inter-species differences in drug metabolism.

Authors:  Thomas A Baillie; Allan E Rettie
Journal:  Drug Metab Pharmacokinet       Date:  2010-10-22       Impact factor: 3.614

4.  Assessment of algorithms for predicting drug-drug interactions via inhibition mechanisms: comparison of dynamic and static models.

Authors:  Eleanor J Guest; Karen Rowland-Yeo; Amin Rostami-Hodjegan; Geoffrey T Tucker; J Brian Houston; Aleksandra Galetin
Journal:  Br J Clin Pharmacol       Date:  2011-01       Impact factor: 4.335

5.  Drug-drug interactions: is there an optimal way to study them?

Authors:  L D Lewis
Journal:  Br J Clin Pharmacol       Date:  2010-12       Impact factor: 4.335

6.  CYP2C8 but not CYP3A4 is important in the pharmacokinetics of montelukast.

Authors:  Tiina Karonen; Pertti J Neuvonen; Janne T Backman
Journal:  Br J Clin Pharmacol       Date:  2012-02       Impact factor: 4.335

7.  Exposure to oral oxycodone is increased by concomitant inhibition of CYP2D6 and 3A4 pathways, but not by inhibition of CYP2D6 alone.

Authors:  Juha Grönlund; Teijo I Saari; Nora M Hagelberg; Pertti J Neuvonen; Klaus T Olkkola; Kari Laine
Journal:  Br J Clin Pharmacol       Date:  2010-07       Impact factor: 4.335

8.  Tolerability and pharmacokinetics of lobeglitazone, a novel peroxisome proliferator-activated receptor-γ agonist, after a single oral administration in healthy female subjects.

Authors:  Min Kyu Park; Tae-Eun Kim; JaeWoo Kim; Chin Kim; Seo Hyun Yoon; Joo-Youn Cho; In-Jin Jang; Kyung-Sang Yu; Kyoung Soo Lim
Journal:  Clin Drug Investig       Date:  2014-07       Impact factor: 2.859

9.  Inhibition of oral midazolam clearance by boosting doses of ritonavir, and by 4,4-dimethyl-benziso-(2H)-selenazine (ALT-2074), an experimental catalytic mimic of glutathione oxidase.

Authors:  David J Greenblatt; Diane E Peters; Lauren E Oleson; Jerold S Harmatz; Malcolm W MacNab; Noah Berkowitz; Miguel A Zinny; Michael H Court
Journal:  Br J Clin Pharmacol       Date:  2009-12       Impact factor: 4.335

10.  Contribution of the active metabolite M1 to the pharmacological activity of tesofensine in vivo: a pharmacokinetic-pharmacodynamic modelling approach.

Authors:  T Lehr; A Staab; C Tillmann; E Ø Nielsen; D Trommeshauser; H G Schaefer; C Kloft
Journal:  Br J Pharmacol       Date:  2007-11-05       Impact factor: 8.739

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.