Evidence map›Paper›PMID 40027484›Full record

ArticleiMeta2025

Non-differential gut microbes contribute to hypertension and its severity through co-abundances: A multi-regional prospective cohort study.

Lu Liu, Qianyi Zhou, Tianbao Xu, Qiufeng Deng, Yuhao Sun, Jingxiang Fu, Muxuan Chen, Xiaojiao Chen, Zhenchao Ma, Quanbin Dong and 18 more

Abstract read
In one paragraph

Article in iMeta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

28 authors.

Lu LiuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.ORCID 0009-0008-4435-873X
Qianyi ZhouMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital Southern Medical University Guangzhou China.
Tianbao XuDepartment of Cardiology, The Affiliated Kezhou People's Hospital of Nanjing Medical University Nanjing Medical University Xinjiang China.
Qiufeng DengDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.
Yuhao SunDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.
Jingxiang FuMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital Southern Medical University Guangzhou China.
Muxuan ChenMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital Southern Medical University Guangzhou China.
Xiaojiao ChenMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital Southern Medical University Guangzhou China.
Zhenchao MaHuzhou Central Hospital, Affiliated Huzhou Hospital Zhejiang University School of Medicine Huzhou China.
Quanbin DongDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.
Beining MaDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.
Yuwen JiaoChangzhou Medical Center, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University Nanjing Medical University Changzhou China.
Yan ZhouChangzhou Medical Center, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University Nanjing Medical University Changzhou China.
Tingting WuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.
Huayiyang ZouDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.
Jing ShiDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.
Yifeng WangDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.
Yanhui ShengCardiovascular Research Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School Nanjing Medical University Suzhou China.
Liming TangChangzhou Medical Center, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University Nanjing Medical University Changzhou China.
Chao ZhengHuzhou Central Hospital, Affiliated Huzhou Hospital Zhejiang University School of Medicine Huzhou China.
Wei WuGuangdong Provincial Institute of Public Health Guangdong Provincial Center for Disease Control and Prevention Guangzhou China.
Wenjun MaDepartment of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China.
Wei SunDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.
Shixian HuInstitute of Precision Medicine, The First Affiliated Hospital Sun Yat-sen University Guangzhou China.
Hongwei ZhouMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital Southern Medical University Guangzhou China.
Yan HeMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital Southern Medical University Guangzhou China.
Xiangqing KongDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.
Lianmin ChenDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.ORCID 0000-0003-0660-3518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial dysbiosis, characterized by an imbalanced microbial community structure and function, has been linked to hypertension. While prior research has primarily focused on differential abundances, our study highlights the role of non-differential microbes in hypertension. We propose that non-differential microbes contribute to hypertension through their ecological interactions, as defined by co-abundances (pairs of microbes exhibiting correlated abundance patterns). Using gut microbiome data from the Guangdong Gut Microbiome Project, which includes 2355 hypertensive and 4644 non-hypertensive participants across 14 regions, we identified replicable hypertension-related microbial interactions. Notably, most co-abundances involved non-differential microbes, which were found to correlate with both hypertension severity and hypertension-related microbial metabolic pathways. These findings emphasize the importance of microbial interactions in hypertension pathogenesis and propose a novel perspective for microbiome-based therapeutic strategies.

Indexed as

co‐abundancecohort studygut microbiotahypertension

Identifiers

PMID40027484
PMCPMC11865328

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.