Evidence map›Paper›PMID 38898986›Full record

ArticleiMeta2024

A new evaluation system for drug-microbiota interactions.

Tian-Hao Liu, Chen-Yang Zhang, Hang Zhang, Jing Jin, Xue Li, Shi-Qiang Liang, Yu-Zheng Xue, Feng-Lai Yuan, Ya-Hong Zhou, Xiu-Wu Bian and 1 more

Abstract read
In one paragraph

Article in iMeta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Tian-Hao LiuYu-Yue Pathology Scientific Research Center Chongqing China.ORCID 0000-0002-3997-756X
Chen-Yang ZhangDepartment of Gastroenterology Affiliated Hospital of Jiangnan University Wuxi Jiangsu China.
Hang ZhangCollege of Animal Science and Technology, College of Animal Medicine Huazhong Agricultural University Wuhan Hubei China.
Jing JinDepartment of Pathology Army Medical University Chongqing China.
Xue LiWuxi Hospital Affiliated to Nanjing University of Chinese Medicine Wuxi Jiangsu China.
Shi-Qiang LiangCollege of Animal Science and Technology, College of Animal Medicine Huazhong Agricultural University Wuhan Hubei China.
Yu-Zheng XueDepartment of Gastroenterology Affiliated Hospital of Jiangnan University Wuxi Jiangsu China.
Feng-Lai YuanInstitute of Integrated traditional Chinese and Western Medicine Affiliated Hospital of Jiangnan University Wuxi China.
Ya-Hong ZhouWuxi Hospital Affiliated to Nanjing University of Chinese Medicine Wuxi Jiangsu China.
Xiu-Wu BianYu-Yue Pathology Scientific Research Center Chongqing China.
Hong WeiYu-Yue Pathology Scientific Research Center Chongqing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The drug response phenotype is determined by a combination of genetic and environmental factors. The high clinical conversion failure rate of gene-targeted drugs might be attributed to the lack of emphasis on environmental factors and the inherent individual variability in drug response (IVDR). Current evidence suggests that environmental variables, rather than the disease itself, are the primary determinants of both gut microbiota composition and drug metabolism. Additionally, individual differences in gut microbiota create a unique metabolic environment that influences the in vivo processes underlying drug absorption, distribution, metabolism, and excretion (ADME). Here, we discuss how gut microbiota, shaped by both genetic and environmental factors, affects the host's ADME microenvironment within a new evaluation system for drug-microbiota interactions. Furthermore, we propose a new top-down research approach to investigate the intricate nature of drug-microbiota interactions in vivo. This approach utilizes germ-free animal models, providing foundation for the development of a new evaluation system for drug-microbiota interactions.

Indexed as

drug metabolismdrug–microbiota interactionsgenetic and environmental factorsgut microbiota

Identifiers

PMID38898986
PMCPMC11183188

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.