Associations between environmental noise and myocardial infarction and stroke: Investigating the potential mediating effects of hypertension

Buteau, Stéphane; Yankoty, Larisa Ines; Letellier, Noémie; Benmarhnia, Tarik; Gamache, Philippe; Plante, Céline; Goudreau, Sophie; Blais, Claudia; Perron, Stéphane; Fournier, Michel; Ragettli, Martina S.; Smargiassi, Audrey

doi:10.1016/j.envres.2023.116092

Cited by 3 publications

(1 citation statement)

References 39 publications

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“…Regarding noise and chronic condition there is substantial evidence suggesting the link between noise exposure and cardiovascular diseases 6,16,17 . In a study published in 2023 by Stephane Buteau et al 34 , researchers attempted to investigate the potential mediation of hypertension in the relationship between noise and cardiovascular diseases. The found a positive association between noise and cardiovascular events aligns with our findings.…”

Section: Discussionmentioning

confidence: 99%

Urban environmental noise and depression causal pathway: Potential role of chronic conditions as mediator

Olea,

Hernández,

Suarez

et al. 2024

Preprint

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Accepting the fact of a growing urban population and associated health risks, such as increased exposure to pollutants, and considering the high prevalence of chronic diseases, this study aims to investigate the relationship between exposure to environmental noise and depression. The primary objective is to determine the potential mediating role of chronic diseases in this relationship. This study is part of the European H2020 URBANOME project, designed to explore the relationship between the environment and health in urban settings. The main goal of the project is to promote urban health, well-being, and liveability by systematically integrating health concerns into urban policies and civic activities. We obtained the data for this study from the Madrid City Health Survey, conducted through computer-assisted telephone interviews. Outcome variables assessed through self-reports included depression, exposure to environmental noise, and the presence of chronic diseases. We used a counterfactual mediation framework, implemented by the R package multimediate, to evaluate the potential mediating role of chronic diseases in the relationship between exposure to environmental noise and depression. The study included 8,445 interviews, with a higher percentage of women (54.67%) than men. 23.29% were over 65, and 17.17% under 30. Notably, 7.82% reported depression, 39.53% had chronic diseases, and 35.43% acknowledged noise exposure. In our regression model, those exposed to environmental noise were 1.24 times more likely to have a chronic disease, and individuals with a chronic disease were 2.93 times more likely to suffer from depression. The relationship between noise exposure and depression showed a 12% mediation by chronic diseases, with a 95% confidence interval from 5% to 22%. Our findings suggest a link between environmental noise exposure and depression, potentially mediated by chronic diseases. This points out the need for public health interventions to reduce urban noise exposure and improve mental health. Furthermore, prospective studies are needed for confirmation, incorporating noise level measurements and temporal data on the onset of chronic diseases and depression.

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Section: Discussionmentioning

confidence: 99%

Urban environmental noise and depression causal pathway: Potential role of chronic conditions as mediator

Olea,

Hernández,

Suarez

et al. 2024

Preprint

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Geospatial analysis for environmental noise mapping: A land use regression approach in a metropolitan city

Gharehchahi,

Hashemi,

Yunesian

et al. 2024

Environmental Research

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Identification and interaction analysis of molecular markers in myocardial infarction by bioinformatics and next-generation sequencing data analysis

Vastrad,

Vastrad

2024

Egypt J Med Hum Genet

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Background Cardiovascular diseases are prevalent worldwide with any age, and it is characterized by sudden blockage of blood flow to heart and permanent damage to the heart muscle, whose cause and underlying molecular mechanisms are not fully understood. This investigation aimed to explore and identify essential genes and signaling pathways that contribute to the progression of MI. Methods The aim of this investigation was to use bioinformatics and next-generation sequencing (NGS) data analysis to identify differentially expressed genes (DEGs) with diagnostic and therapeutic potential in MI. NGS dataset (GSE132143) was downloaded from the Gene Expression Omnibus (GEO) database. DEGs between MI and normal control samples were identified using the DESeq2 R bioconductor tool. The gene ontology (GO) and REACTOME pathway enrichment analyses of the DEGs were performed using g:Profiler. Next, four kinds of algorithms in the protein–protein interaction (PPI) were performed to identify potential novel biomarkers. Next, miRNA-hub gene regulatory network analysis and TF-hub gene regulatory network were constructed by miRNet and NetworkAnalyst database, and Cytoscape software. Finally, the diagnostic effectiveness of hub genes was predicted by receiver operator characteristic curve (ROC) analysis and AUC more than 0.800 was considered as having the capability to diagnose MI with excellent specificity and sensitivity. Results A total of 958 DEGs were identified, consisting of 480 up-regulated genes and 478 down-regulated genes. The enriched GO terms and pathways of the DEGs include immune system, neuronal system, response to stimulus and multicellular organismal process. Ten hub genes (namely cftr, cdk1, rps13, rps15a, rps27, notch1, mrpl12, nos2, ccdc85b and atn1) were obtained via protein–protein interaction analysis results. MiRNA-hub gene regulatory network and TF-hub gene regulatory network showed that hsa-mir-409-3p, hsa-mir-3200-3p, creb1 and tp63 might play an important role in the MI. Conclusions Analysis of next-generation sequencing dataset combined with global network information and validation presents a successful approach to uncover the risk hub genes and prognostic markers of MI. Our investigation identified four risk- and prognostic-related gene signatures, including cftr, cdk1, rps13, rps15a, rps27, notch1, mrpl12, nos2, ccdc85b and atn1. This gene sets contribute a new perspective to improve the diagnostic, prognostic, and therapeutic outcomes of MI.

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Associations between environmental noise and myocardial infarction and stroke: Investigating the potential mediating effects of hypertension

Cited by 3 publications

References 39 publications

Urban environmental noise and depression causal pathway: Potential role of chronic conditions as mediator

Urban environmental noise and depression causal pathway: Potential role of chronic conditions as mediator

Geospatial analysis for environmental noise mapping: A land use regression approach in a metropolitan city

Identification and interaction analysis of molecular markers in myocardial infarction by bioinformatics and next-generation sequencing data analysis

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