Literature DB >> 32463481

Potential Implications of Gut Microbiota in Drug Pharmacokinetics and Bioavailability.

Stephanie A Flowers1, Shubha Bhat2, James C Lee1.   

Abstract

Gut microbial communities are capable of enzymatically transforming pharmaceutical compounds into active, inactive, and toxic metabolites, thus potentially affecting the pharmacokinetics and bioavailability of orally administered medications. Our understanding of the impact and clinical relevance of how gut microbial communities can directly and indirectly affect drug metabolism and, ultimately, clinical outcomes, is limited. Interindividual variability of gut microbial composition may partially explain differences observed in drug efficacy and toxicity in certain patient populations. This review provides an overview of how gut microbial communities can potentially contribute to individual drug response. This review focuses on the current landscape of clinical and preclinical research that defines the microbiome contribution on medication response with the goal of improving medication efficacy and decreasing medication toxicity.
© 2020 Pharmacotherapy Publications, Inc.

Entities:  

Keywords:  gut microbiota; microbiome; pharmacokinetics; precision medicine; xenobiotics

Mesh:

Substances:

Year:  2020        PMID: 32463481     DOI: 10.1002/phar.2428

Source DB:  PubMed          Journal:  Pharmacotherapy        ISSN: 0277-0008            Impact factor:   4.705


  4 in total

Review 1.  Pharmacomicrobiomics: Exploiting the Drug-Microbiota Interactions in Antihypertensive Treatment.

Authors:  Hui-Qing Chen; Jin-Yu Gong; Kai Xing; Mou-Ze Liu; Huan Ren; Jian-Quan Luo
Journal:  Front Med (Lausanne)       Date:  2022-01-19

Review 2.  Beneficial Effects of Theaflavins on Metabolic Syndrome: From Molecular Evidence to Gut Microbiome.

Authors:  Meng Shi; Yuting Lu; Junling Wu; Zhibing Zheng; Chenghao Lv; Jianhui Ye; Si Qin; Chaoxi Zeng
Journal:  Int J Mol Sci       Date:  2022-07-08       Impact factor: 6.208

Review 3.  Intestinal Microbiota: The Driving Force behind Advances in Cancer Immunotherapy.

Authors:  Zhujiang Dai; Jihong Fu; Xiang Peng; Dong Tang; Jinglue Song
Journal:  Cancers (Basel)       Date:  2022-09-30       Impact factor: 6.575

4.  Machine Learning Predicts Drug Metabolism and Bioaccumulation by Intestinal Microbiota.

Authors:  Laura E McCoubrey; Stavriani Thomaidou; Moe Elbadawi; Simon Gaisford; Mine Orlu; Abdul W Basit
Journal:  Pharmaceutics       Date:  2021-11-25       Impact factor: 6.321

  4 in total

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