Cardiovascular disease risk and pathophysiology in South Asians: can longitudinal multi-omics shed light?
HFpEF
HFrEF
South Asians
atherosclerosis
diabetes
heart failure
multi-omics
subclinical CVD
Journal
Wellcome open research
ISSN: 2398-502X
Titre abrégé: Wellcome Open Res
Pays: England
ID NLM: 101696457
Informations de publication
Date de publication:
2020
2020
Historique:
accepted:
11
05
2021
entrez:
18
6
2021
pubmed:
19
6
2021
medline:
19
6
2021
Statut:
epublish
Résumé
Cardiovascular disease (CVD) is the leading cause of mortality in South Asia, with rapidly increasing prevalence of hypertension, type 2 diabetes (T2DM) and hyperlipidemia over the last two decades. Atherosclerotic CVD (ASCVD) affects South Asians earlier in life and at lower body weights, which is not fully explained by differential burden of conventional risk factors. Heart failure (HF) is a complex clinical syndrome of heterogeneous structural phenotypes including two major clinical subtypes, HF with preserved (HFpEF) and reduced ejection fraction (HFrEF). The prevalence of HF in South Asians is also rising with other metabolic diseases, and HFpEF develops at younger age and leaner body mass index in South Asians than in Whites. Recent genome-wide association studies, epigenome-wide association studies and metabolomic studies of ASCVD and HF have identified genes, metabolites and pathways associated with CVD traits. However, these findings were mostly driven by samples of European ancestry, which may not accurately represent the CVD risk at the molecular level, and the unique risk profile of CVD in South Asians. Such bias, while formulating hypothesis-driven research studies, risks missing important causal or predictive factors unique to South Asians. Importantly, a longitudinal design of multi-omic markers can capture the life-course risk and natural history related to CVD, and partially disentangle putative causal relationship between risk factors, multi-omic markers and subclinical and clinical ASCVD and HF. In conclusion, combining high-resolution untargeted metabolomics with epigenomics of rigorous, longitudinal design will provide comprehensive unbiased molecular characterization of subclinical and clinical CVD among South Asians. A thorough understanding of CVD-associated metabolomic profiles, together with advances in epigenomics and genomics, will lead to more accurate estimates of CVD progression and stimulate new strategies for improving cardiovascular health.
Identifiants
pubmed: 34136649
doi: 10.12688/wellcomeopenres.16336.2
pmc: PMC8176264
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
255Subventions
Organisme : NCATS NIH HHS
ID : KL2 TR002381
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002378
Pays : United States
Informations de copyright
Copyright: © 2021 Sun YV et al.
Déclaration de conflit d'intérêts
No competing interests were disclosed.
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