Literature DB >> 33441605

Plasma protein expression profiles, cardiovascular disease, and religious struggles among South Asians in the MASALA study.

Long H Ngo1,2,3, M Austin Argentieri4,5, Simon T Dillon6,7, Blake Victor Kent4,8, Alka M Kanaya9, Alexandra E Shields6,4, Towia A Libermann6,7.   

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.

Entities:  

Year:  2021        PMID: 33441605      PMCID: PMC7806901          DOI: 10.1038/s41598-020-79429-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  63 in total

1.  Genetic associations with coronary heart disease: meta-analyses of 12 candidate genetic variants.

Authors:  Huadan Ye; Xiaojing Li; Lingyan Wang; Qi Liao; Leiting Xu; Yi Huang; Liming Xu; Xuting Xu; Cheng Chen; Hangyu Wu; Yanping Le; Qiong Liu; Meng Ye; Changzheng Dong; Shiwei Duan
Journal:  Gene       Date:  2013-07-29       Impact factor: 3.688

2.  Religiousness and Diseases in Europe: Findings from SHARE.

Authors:  L J Ahrenfeldt; N C Hvidt; S T Kjøller; S Möller; R Lindahl-Jacobsen
Journal:  J Relig Health       Date:  2019-12

3.  The relationship between religion and cardiovascular outcomes and all-cause mortality in the Women's Health Initiative Observational Study.

Authors:  Eliezer Schnall; Sylvia Wassertheil-Smoller; Charles Swencionis; Vance Zemon; Lesley Tinker; Mary Jo O'Sullivan; Linda Van Horn; Mimi Goodwin
Journal:  Psychol Health       Date:  2010-02

4.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

5.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

6.  Unexpected phenotypic effects of a transgene integration causing a knockout of the endogenous Contactin-5 gene in mice.

Authors:  Alexander V Smirnov; Galina V Kontsevaya; Natalia A Feofanova; Margarita V Anisimova; Irina A Serova; Lyudmila A Gerlinskaya; Nariman R Battulin; Mikhail P Moshkin; Oleg L Serov
Journal:  Transgenic Res       Date:  2017-12-20       Impact factor: 2.788

Review 7.  Proteomics of plaques and novel sources of potential biomarkers for atherosclerosis.

Authors:  Onno B Bleijerveld; Ya-Nan Zhang; Serap Beldar; Imo E Hoefer; Siu K Sze; Gerard Pasterkamp; Dominique P V de Kleijn
Journal:  Proteomics Clin Appl       Date:  2013-07-09       Impact factor: 3.494

8.  Association of psychosocial risk factors with risk of acute myocardial infarction in 11119 cases and 13648 controls from 52 countries (the INTERHEART study): case-control study.

Authors:  Annika Rosengren; Steven Hawken; Stephanie Ounpuu; Karen Sliwa; Mohammad Zubaid; Wael A Almahmeed; Kathleen Ngu Blackett; Chitr Sitthi-amorn; Hiroshi Sato; Salim Yusuf
Journal:  Lancet       Date:  2004 Sep 11-17       Impact factor: 79.321

9.  Self-Rated Religiosity/Spirituality and Four Health Outcomes Among US South Asians: Findings From the Study on Stress, Spirituality, and Health.

Authors:  Samuel Stroope; Blake Victor Kent; Ying Zhang; Namratha R Kandula; Alka M Kanaya; Alexandra E Shields
Journal:  J Nerv Ment Dis       Date:  2020-02       Impact factor: 1.899

10.  Assessment of Variability in the SOMAscan Assay.

Authors:  Julián Candia; Foo Cheung; Yuri Kotliarov; Giovanna Fantoni; Brian Sellers; Trevor Griesman; Jinghe Huang; Sarah Stuccio; Adriana Zingone; Bríd M Ryan; John S Tsang; Angélique Biancotto
Journal:  Sci Rep       Date:  2017-10-27       Impact factor: 4.379

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  2 in total

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

Authors:  Xue Qiu; Jinyan Lin; Yanbing Chen; Bixiao Liang; Lang Li
Journal:  Biochem Genet       Date:  2021-11-20       Impact factor: 2.220

Review 2.  Analytical Considerations of Large-Scale Aptamer-Based Datasets for Translational Applications.

Authors:  Will Jiang; Jennifer C Jones; Uma Shankavaram; Mary Sproull; Kevin Camphausen; Andra V Krauze
Journal:  Cancers (Basel)       Date:  2022-04-29       Impact factor: 6.639

  2 in total

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