Evidence map›Paper›PMID 42085113›Full record

ArticleNoise & health

Environmental Noise and Cardiovascular Risk: A Causal Inference Study.

Hua Xiao, Lei Sun, Xiu Qin, HaoFeng Zhang, FuDong He, YuFan Nan, HaiYan Chen, Guang Hao

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In one paragraph

Article in Noise & health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hua XiaoSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
Lei SunSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
Xiu QinSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
HaoFeng ZhangSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
FuDong HeSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
YuFan NanSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
HaiYan ChenDepartment of Chronic Non-Communicable Disease Control and Prevention, Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, China.
Guang HaoSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA growing body of evidence suggests that exposure to environmental noise is linked to the development of cardiovascular disease (CVD). Here, we used two-sample Mendelian randomization (MR) to investigate whether noise-related DNA methylation (DNAm) alterations are causally associated with CVDs and their risk factors.

methodsPublicly available genome-wide association study data on cardiovascular outcomes and epigenome-wide association study data on noise-related alterations in DNAm were used. Thirteen cytosine-phosphate-guanine sites previously associated with noise exposure were selected as exposures, and genetic instruments (methylation quantitative trait loci) were obtained from the Genetics of DNA Methylation Consortium. Summary-level data for six CVDs (heart failure, coronary heart disease, peripheral atherosclerosis, atrial fibrillation/flutter, arrhythmia, and ischemic stroke) and six CVD risk factors (body mass index, sleep, hypertension, hyperlipidemia, type 2 diabetes, and total cholesterol) were extracted. Primary causal estimates were derived using an inverse variance-weighted method. The robustness of these findings was evaluated using supplementary sensitivity analyses, including MR-Egger, weighted median, weighted mode, and Wald ratio.

resultsAmong 13 noise-related DNAm sites, 11 (84.6%) were significantly associated with at least one CVD outcome, with most (10/11) showing risk-enhancing effects. Specifically, cg13402217 (located in the SNX27 gene) and cg16218477 (located in the C7orf50 gene) were repeatedly linked to elevated risks of CVD outcomes, such as heart failure (odds ratio [OR], 0.897; 95% confidence interval [CI], 0.884-0.911, P  = 3.243E-46) and coronary heart disease (OR, 0.999; 95% CI, 0.998-0.999, P  = 2.213E-10). Conversely, cg19270309 (located in the ENPP7 gene) was associated with protective CVD outcomes; for example, it was associated with a lower risk of coronary heart disease (OR, 0.996; 95% CI, 0.993-1.000, P  = 2.984E-02). The sensitivity analysis results were consistent with the above results.

conclusionOur findings provide novel causal evidence that environmental noise influences CVDs and the related risk factors through DNAm alterations.

Indexed as

Cardiovascular DiseasesDNA MethylationEnvironmental ExposureNoiseGenome-Wide Association StudyHumansMendelian Randomization AnalysisRisk FactorsCardiovascular diseaseDNA methylationEpigeneticsMendelian randomizationNoise

Identifiers

PMID42085113
PMCPMC13387473

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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.