Evidence map›Paper›PMID 40429682›Full record

ArticleInternational journal of molecular sciences2025

Novel Metabolites Genetically Linked to Salt Sensitivity of Blood Pressure: Evidence from mGWAS in Chinese Population.

Xiaojun Yang, Bowen Zhang, Fuyuan Wen, Han Qi, Fengxu Zhang, Yunyi Xie, Wenjuan Peng, Boya Li, Aibin Qu, Xinyue Yao and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Xiaojun YangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Key Laboratory of Environment and Aging, Beijing 100069, China.
Bowen ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Key Laboratory of Environment and Aging, Beijing 100069, China.
Fuyuan WenDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Key Laboratory of Environment and Aging, Beijing 100069, China.
Han QiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Key Laboratory of Environment and Aging, Beijing 100069, China.
Fengxu ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Key Laboratory of Environment and Aging, Beijing 100069, China.ORCID 0000-0003-3778-0859
Yunyi XieDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Key Laboratory of Environment and Aging, Beijing 100069, China.
Wenjuan PengDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Key Laboratory of Environment and Aging, Beijing 100069, China.
Boya LiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Key Laboratory of Environment and Aging, Beijing 100069, China.
Aibin QuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Key Laboratory of Environment and Aging, Beijing 100069, China.
Xinyue YaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Key Laboratory of Environment and Aging, Beijing 100069, China.
Ling ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Key Laboratory of Environment and Aging, Beijing 100069, China.ORCID 0000-0003-2468-864X

Funding

National Natural Science Foundation of China 81373076National Natural Science Foundation of China 81973121National Natural Science Foundation of China 82273708
6 · The paper itself

Abstract

This study aims to identify genetically influenced metabolites (GIMs) associated with SSBP and elucidate their regulatory pathways through metabolome genome-wide association studies (mGWASs). Untargeted metabolomics and genome-wide genotyping were performed on 54 participants from the Systematic Epidemiological Study of Salt Sensitivity (EpiSS). The mGWAS was conducted on 970 plasma metabolites, and their potential biological mechanisms were explored. The multivariable logistic regression model and mendelian randomization (MR) were employed to investigate the association and causal relationship between GIMs and SSBP. Metabolomic analysis was performed on 100 subjects in the replication analysis to validate the GIMs identified in the discovery set and their causal association with SSBP. The mGWAS revealed associations between 1485 loci and 18 metabolites. After performing linkage disequilibrium analysis, 368 independent mQTLs were identified and annotated to 141 genes. These functional genes were primarily implicated in the signal transduction of sinoatrial node and atrial cardiac muscle cells. Five key genes were identified using CytoHubba, including

Indexed as

Blood PressureHypertensionMetabolomeSodium Chloride, DietaryAdultChinaEast Asian PeopleFemaleGenome-Wide Association StudyHumansLinkage DisequilibriumMaleMendelian Randomization AnalysisMetabolomicsMiddle AgedPolymorphism, Single NucleotideSodium Chloride, Dietarybiomarkershypertensionmetabolome genome-wide association studymetabolomicssalt sensitivity of blood pressure

Identifiers

PMID40429682
PMCPMC12111247

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.