Evidence map›Paper›PMID 40723374›Full record

ArticleBiology2025

The Effect of the AQP1 Gene Knockout on the Diversity, Composition and Function of Gut Microbiota in Mice with Heart Failure.

Haotian Li, Yubo Li, Jianqin Yang, Yanjun Liu

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Article in Biology, 2025. 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

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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.

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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

4 authors.

Haotian LiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID 0009-0003-9755-1772
Yubo LiInstitute of Basic Theory of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Jianqin YangDepartment of Digestive Disorders, Beijing Key Laboratory of Diagnosis and Treatment of Functional Gastrointestinal Diseases of Traditional Chinese Medicine, Beijing 100102, China.
Yanjun LiuInstitute of Basic Theory of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.ORCID 0000-0001-8514-5871

Funding

The Fundamental Research Funds for the Central Public Welfare Research Institutes YZ-1913
6 · The paper itself

Abstract

introductionThis study aims to elucidate the impact of AQP1 on cardiac function and the intestinal microbiota in mice with chronic heart failure and to further investigate the broad effects of AQP1 on the gut microbiota composition in these mice.

methodsAQP1 knockout mice were used as the experimental group, with wild-type mice serving as the control group. The study evaluated the effects of AQP1 on various physiological parameters, including blood pressure, heart rate, cardiac function, cardiac color Doppler ultrasound, and 24 h urine collection. Additionally, the high-throughput sequencing of gut microbiota was performed to identify key microbial communities.

resultsThe deletion of the AQP1 gene did not significantly alter key cardiovascular metrics such as systolic blood pressure (SBP), mean blood pressure (MBP), or left ventricular mass (LV mass). However, we found that AQP1 knockout affected 24 h urine output in mice. Echocardiography results showed that AQP1 expression influenced LV mass, LVAW; d, and LVPW; s. Moreover, substantial differences were observed in the intestinal microbiota profiles between AQP1 knockout mice with heart failure and their wild-type counterparts. These findings suggest that AQP1 may contribute to cardiac dysfunction in mice with chronic heart failure through the regulation of gut microbiota.

conclusionOur investigation provides initial insights into the role of AQP1 in modulating the intestinal microbiota in a murine model of heart failure. However, the precise mechanisms underlying this association require further exploration and detailed analysis.

Indexed as

AQP1gene knockoutgut microbiotaheart failure

Identifiers

PMID40723374
PMCPMC12292741

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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.