Evidence map›Paper›PMID 39433698›Full record

ArticleBioresources and bioprocessing2024

Identification of metabolites from the gut microbiota in hypertension via network pharmacology and molecular docking.

Wenjie Zhang, Yinming Zhang, Jun Li, Jiawei Tang, Ji Wu, Zicong Xie, Xuanchun Huang, Shiyi Tao, Tiantian Xue

Abstract read
In one paragraph

Article in Bioresources and bioprocessing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

9 authors.

Wenjie ZhangDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 Beixiange, Xicheng District, Beijing, 100053, China.
Yinming ZhangDepartment of Emergency, Yankuang New Journey General Hospital, Zoucheng, Shandong Province, China.
Jun LiDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 Beixiange, Xicheng District, Beijing, 100053, China. gamyylj@163.com.ORCID http://orcid.org/0000-0003-1334-6281
Jiawei TangSchool of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China.
Ji WuDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 Beixiange, Xicheng District, Beijing, 100053, China.
Zicong XieDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 Beixiange, Xicheng District, Beijing, 100053, China.
Xuanchun HuangDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 Beixiange, Xicheng District, Beijing, 100053, China.
Shiyi TaoDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 Beixiange, Xicheng District, Beijing, 100053, China.
Tiantian XueDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 Beixiange, Xicheng District, Beijing, 100053, China.

Funding

Key Technologies Research and Development Program No. 2022YFC3500102
6 · The paper itself

Abstract

Hypertension is the most prevalent cardiovascular disease, affecting one-third of adults. All antihypertensive drugs have potential side effects. Gut metabolites influence hypertension. The objective of this study was to identify antihypertensive gut metabolites through network pharmacology and molecular docking techniques and to validate their antihypertensive mechanisms via in vitro experiments. A total of 10 core antihypertensive targets and 18 gut metabolites that act on hypertension were identified. Four groups of protein metabolites, namely, CXCL8-baicalein, CXCL8-baicalin, CYP1A1-urolithin A, and PTGS2-equol, which have binding energies of - 7.7, - 8.5, - 7.2, and - 8.8 kcal-mol

Indexed as

EquolGut microbiotaHypertensionMetaboliteMolecular dockingNetwork pharmacology

Identifiers

PMID39433698
PMCPMC11493893

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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.