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

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 <i>CAMK2A</i>, <i>TIAM1</i>, <i>RYR2</i>, <i>RBFOX1</i>, and <i>NRXN3</i>. One-sample MR analysis revealed 14 GIMs with causal associations to SSBP, with LysoPC (0:0/22:5<i>n</i>-3) positively associated with SSBP (<i>p</i> < 0.05). The causal relationship between Phe-lle and SSBP was validated in the replication analysis. This study elucidates the genetic regulatory mechanisms underlying metabolites and identifies GIMs that are causally associated with SSBP. These findings provide insights into identifying metabolic biomarkers of SSBP and characterizing its genetic and metabolic regulation mechanisms.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-05-09
DOI
https://doi.org/10.3390/ijms26104538
Citations
1
Primary Topic
Adipose Tissue and Metabolism
Type
article
Field-Weighted Citation Impact
1.16

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article

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

Ling Zhang, Yunyi Xie, Xinyue Yao, Fuyuan Wen et al.
1 citations
International Journal of Molecular Sciences
Adipose Tissue and Metabolism
1.16
article

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

Ling Zhang, Yunyi Xie, Xinyue Yao, Fuyuan Wen, Fengxu Zhang, Bowen Zhang, Xiaotian Li, Wenjuan Peng, Xiaojun Yang, Han Qi, Aibin Qu
article en
1 citations

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 <i>CAMK2A</i>, <i>TIAM1</i>, <i>RYR2</i>, <i>RBFOX1</i>, and <i>NRXN3</i>. One-sample MR analysis revealed 14 GIMs with causal associations to SSBP, with LysoPC (0:0/22:5<i>n</i>-3) positively associated with SSBP (<i>p</i> < 0.05). The causal relationship between Phe-lle and SSBP was validated in the replication analysis. This study elucidates the genetic regulatory mechanisms underlying metabolites and identifies GIMs that are causally associated with SSBP. These findings provide insights into identifying metabolic biomarkers of SSBP and characterizing its genetic and metabolic regulation mechanisms.

International Journal of Molecular SciencesVol. 26(10)
Capital Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 23%
Adipose Tissue and Metabolism
1.16
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