» Articles » PMID: 33441605

Plasma Protein Expression Profiles, Cardiovascular Disease, and Religious Struggles Among South Asians in the MASALA Study

Overview
Journal Sci Rep
Specialty Science
Date 2021 Jan 14
PMID 33441605
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

Blood protein concentrations are clinically useful, predictive biomarkers of cardiovascular disease (CVD). Despite a higher burden of CVD among U.S. South Asians, no CVD-related proteomics study has been conducted in this sub-population. The aim of this study is to investigate the associations between plasma protein levels and CVD incidence, and to assess the potential influence of religiosity/spirituality (R/S) on significant protein-CVD associations, in South Asians from the MASALA Study. We used a nested case-control design of 50 participants with incident CVD and 50 sex- and age-matched controls. Plasma samples were analyzed by SOMAscan for expression of 1305 proteins. Multivariable logistic regression models and model selection using Akaike Information Criteria were performed on the proteins and clinical covariates, with further effect modification analyses conducted to assess the influence of R/S measures on significant associations between proteins and incident CVD events. We identified 36 proteins that were significantly expressed differentially among CVD cases compared to matched controls. These proteins are involved in immune cell recruitment, atherosclerosis, endothelial cell differentiation, and vascularization. A final multivariable model found three proteins (Contactin-5 [CNTN5], Low affinity immunoglobulin gamma Fc region receptor II-a [FCGR2A], and Complement factor B [CFB]) associated with incident CVD after adjustment for diabetes (AUC = 0.82). Religious struggles that exacerbate the adverse impact of stressful life events, significantly modified the effect of Contactin-5 and Complement factor B on risk of CVD. Our research is this first assessment of the relationship between protein concentrations and risk of CVD in a South Asian sample. Further research is needed to understand patterns of proteomic profiles across diverse ethnic communities, and the influence of resources for resiliency on proteomic signatures and ultimately, risk of CVD.

Citing Articles

Plasma proteome association with coronary heart disease and carotid intima media thickness: results from the KORA F4 study.

Elhadad M, Del C Gomez-Alonso M, Chen C, Neumeyer S, Delerue T, Rathmann W Cardiovasc Diabetol. 2024; 23(1):181.

PMID: 38811951 PMC: 11138055. DOI: 10.1186/s12933-024-02274-3.


Lessons Learned from Immigrant Health Cohorts: A Review of the Evidence and Implications for Policy and Practice in Addressing Health Inequities among Asian Americans, Native Hawaiians, and Pacific Islanders.

Guan A, Talingdan A, Tanjasiri S, Kanaya A, Gomez S Annu Rev Public Health. 2023; 45(1):401-424.

PMID: 38109517 PMC: 11332134. DOI: 10.1146/annurev-publhealth-060922-040413.


Bioinformatics and experimental analyses of glutamate receptor and its targets genes in myocardial and cerebral ischemia.

Liao W, He C, Yang S, Zhou M, Zeng C, Luo M BMC Genomics. 2023; 24(1):300.

PMID: 37268894 PMC: 10239159. DOI: 10.1186/s12864-023-09408-z.


Analytical Considerations of Large-Scale Aptamer-Based Datasets for Translational Applications.

Jiang W, Jones J, Shankavaram U, Sproull M, Camphausen K, Krauze A Cancers (Basel). 2022; 14(9).

PMID: 35565358 PMC: 9105298. DOI: 10.3390/cancers14092227.


Identification of Hub Genes Associated with Abnormal Endothelial Function in Early Coronary Atherosclerosis.

Qiu X, Lin J, Chen Y, Liang B, Li L Biochem Genet. 2021; 60(4):1189-1204.

PMID: 34800203 DOI: 10.1007/s10528-021-10139-7.

References
1.
Smirnov A, Kontsevaya G, Feofanova N, Anisimova M, Serova I, Gerlinskaya L . Unexpected phenotypic effects of a transgene integration causing a knockout of the endogenous Contactin-5 gene in mice. Transgenic Res. 2017; 27(1):1-13. DOI: 10.1007/s11248-017-0053-y. View

2.
Schnall E, Wassertheil-Smoller S, Swencionis C, Zemon V, Tinker L, OSullivan M . The relationship between religion and cardiovascular outcomes and all-cause mortality in the Women's Health Initiative Observational Study. Psychol Health. 2010; 25(2):249-63. DOI: 10.1080/08870440802311322. View

3.
Hanley J, McNeil B . A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983; 148(3):839-43. DOI: 10.1148/radiology.148.3.6878708. View

4.
Candia J, Cheung F, Kotliarov Y, Fantoni G, Sellers B, Griesman T . Assessment of Variability in the SOMAscan Assay. Sci Rep. 2017; 7(1):14248. PMC: 5660188. DOI: 10.1038/s41598-017-14755-5. View

5.
Subramanian A, Tamayo P, Mootha V, Mukherjee S, Ebert B, Gillette M . Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005; 102(43):15545-50. PMC: 1239896. DOI: 10.1073/pnas.0506580102. View