Literature DB >> 27821435

What Can Be Learned from Recent New Drug Applications? A Systematic Review of Drug Interaction Data for Drugs Approved by the US FDA in 2015.

Jingjing Yu1, Zhu Zhou1, Katie H Owens1, Tasha K Ritchie1, Isabelle Ragueneau-Majlessi2.   

Abstract

As a follow up to previous reviews, the aim of the present analysis was to systematically examine all drug metabolism, transport, pharmacokinetics (PK), and drug-drug interaction (DDI) data available in the 33 new drug applications (NDAs) approved by the Food and Drug Administration (FDA) in 2015, using the University of Washington Drug Interaction Database, and to highlight the significant findings. In vitro, a majority of the new molecular entities (NMEs) were found to be substrates or inhibitors/inducers of at least one drug metabolizing enzyme or transporter. In vivo, 95 clinical DDI studies displayed positive PK interactions, with an area under the curve (AUC) ratio ≥ 1.25 for inhibition or ≤ 0.8 for induction. When NMEs were considered as victim drugs, 21 NMEs had at least one positive clinical DDI, with three NMEs shown to be sensitive substrates of CYP3A (AUC ratio ≥ 5 when coadministered with strong inhibitors): cobimetinib, isavuconazole (the active metabolite of prodrug isavuconazonium sulfate), and ivabradine. As perpetrators, nine NMEs showed positive inhibition and three NMEs showed positive induction, with some of these interactions involving both enzymes and transporters. The most significant changes for inhibition and induction were observed with rolapitant, a moderate inhibitor of CYP2D6 and lumacaftor, a strong inducer of CYP3A. Physiologically based pharmacokinetics simulations and pharmacogenetics studies were used for six and eight NMEs, respectively, to inform dosing recommendations. The effects of hepatic or renal impairment on the drugs' PK were also evaluated to support drug administration in these specific populations.
Copyright © 2016 by The American Society for Pharmacology and Experimental Therapeutics.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27821435     DOI: 10.1124/dmd.116.073411

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  10 in total

Review 1.  Advances in predictive in vitro models of drug-induced nephrotoxicity.

Authors:  Joanne Y-C Soo; Jitske Jansen; Rosalinde Masereeuw; Melissa H Little
Journal:  Nat Rev Nephrol       Date:  2018-06       Impact factor: 28.314

2.  When Does the Rate-Determining Step in the Hepatic Clearance of a Drug Switch from Sinusoidal Uptake to All Hepatobiliary Clearances? Implications for Predicting Drug-Drug Interactions.

Authors:  Gabriela I Patilea-Vrana; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2018-08-16       Impact factor: 3.922

3.  Physicochemical Properties, Biotransformation, and Transport Pathways of Established and Newly Approved Medications: A Systematic Review of the Top 200 Most Prescribed Drugs vs. the FDA-Approved Drugs Between 2005 and 2016.

Authors:  Anitha Saravanakumar; Armin Sadighi; Rachel Ryu; Fatemeh Akhlaghi
Journal:  Clin Pharmacokinet       Date:  2019-10       Impact factor: 6.447

Review 4.  If Channel as an Emerging Therapeutic Target for Cardiovascular Diseases: A Review of Current Evidence and Controversies.

Authors:  Hayelom G Mengesha; Tadesse B Tafesse; Mohammed H Bule
Journal:  Front Pharmacol       Date:  2017-11-24       Impact factor: 5.810

Review 5.  Progress in Prediction and Interpretation of Clinically Relevant Metabolic Drug-Drug Interactions: a Minireview Illustrating Recent Developments and Current Opportunities.

Authors:  Stephen Fowler; Peter N Morcos; Yumi Cleary; Meret Martin-Facklam; Neil Parrott; Michael Gertz; Li Yu
Journal:  Curr Pharmacol Rep       Date:  2017-02-01

6.  Sulfur(vi) fluoride exchange as a key reaction for synthesizing biaryl sulfate core derivatives as potent hepatitis C virus NS5A inhibitors and their structure-activity relationship studies.

Authors:  Youngsu You; Hee Sun Kim; Jung Woo Park; Gyochang Keum; Sung Key Jang; B Moon Kim
Journal:  RSC Adv       Date:  2018-09-12       Impact factor: 4.036

Review 7.  Clinical Pharmacokinetics and Pharmacodynamics of Lefamulin.

Authors:  Matthew William McCarthy
Journal:  Clin Pharmacokinet       Date:  2021-07-13       Impact factor: 5.577

8.  Association Between Use of Pharmacokinetic-Interacting Drugs and Effectiveness and Safety of Direct Acting Oral Anticoagulants: Nested Case-Control Study.

Authors:  Naomi Gronich; Nili Stein; Mordechai Muszkat
Journal:  Clin Pharmacol Ther       Date:  2021-08-10       Impact factor: 6.903

Review 9.  Application of In Vitro Metabolism Activation in High-Throughput Screening.

Authors:  Masato Ooka; Caitlin Lynch; Menghang Xia
Journal:  Int J Mol Sci       Date:  2020-10-31       Impact factor: 5.923

10.  Model-based assessments of CYP3A-mediated drug-drug interaction risk of milademetan.

Authors:  Ying Hong; Tomoko Ishizuka; Akiko Watanabe; Masaya Tachibana; Mark Lee; Hitoshi Ishizuka; Frank LaCreta; Malaz Abutarif
Journal:  Clin Transl Sci       Date:  2021-06-23       Impact factor: 4.689

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.