Literature DB >> 26014657

Biomarkers of Coronary Artery Disease Differ Between Asians and Caucasians in the General Population.

Crystel M Gijsberts1, Hester M den Ruijter2, Folkert W Asselbergs3, Mark Y Chan4, Dominique P V de Kleijn5, Imo E Hoefer2.   

Abstract

Coronary artery disease (CAD) markers have not been thoroughly investigated among Asians. The incidence of CAD, however, is rising rapidly in Asia. In this review, we systematically discuss publications that compare CAD biomarkers between Asians and Caucasians in the general population. A PubMed search yielded 5,570 hits, containing 59 articles describing 47 unique cohorts that directly compare Asians with Caucasians. Ten biomarkers were taken into account for this review: total cholesterol; triglycerides; high-density lipoprotein cholesterol; low-density lipoprotein cholesterol; C-reactive protein; glucose; insulin; glycated hemoglobin; fibrinogen; and plasminogen activator inhibitor-1. Triglycerides were 1.13-fold higher in South Asians than in Caucasians, and insulin levels were 1.33-fold higher. In Japanese and Chinese subjects, lower C-reactive protein levels were reported: 0.52 and 0.36-fold, respectively. Ethnicity-specific prognostic measures of CAD biomarkers were rarely reported. CAD biomarker levels differ between Asians and Caucasians and among Asian ethnic groups in population-based cohorts. The ethnicity-specific prognostic value of CAD biomarkers is yet to be determined.
Copyright © 2015 World Heart Federation (Geneva). Published by Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26014657     DOI: 10.1016/j.gheart.2014.11.004

Source DB:  PubMed          Journal:  Glob Heart


  9 in total

1.  Influence of Genetic Ancestry on Human Serum Proteome.

Authors:  Jennifer Sjaarda; Hertzel C Gerstein; Zoltan Kutalik; Pedrum Mohammadi-Shemirani; Marie Pigeyre; Sibylle Hess; Guillaume Paré
Journal:  Am J Hum Genet       Date:  2020-02-13       Impact factor: 11.025

2.  Inter-Ethnic Differences in Quantified Coronary Artery Disease Severity and All-Cause Mortality among Dutch and Singaporean Percutaneous Coronary Intervention Patients.

Authors:  Crystel M Gijsberts; Aruni Seneviratna; Imo E Hoefer; Pierfrancesco Agostoni; Saskia Z H Rittersma; Gerard Pasterkamp; Mikael Hartman; Leonardo Pinto de Carvalho; A Mark Richards; Folkert W Asselbergs; Dominique P V de Kleijn; Mark Y Chan
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

3.  Ethnicity Modifies Associations between Cardiovascular Risk Factors and Disease Severity in Parallel Dutch and Singapore Coronary Cohorts.

Authors:  Crystel M Gijsberts; Aruni Seneviratna; Leonardo P de Carvalho; Hester M den Ruijter; Puwalani Vidanapthirana; Vitaly Sorokin; Pieter Stella; Pierfrancesco Agostoni; Folkert W Asselbergs; A Mark Richards; Adrian F Low; Chi-Hang Lee; Huay Cheem Tan; Imo E Hoefer; Gerard Pasterkamp; Dominique P V de Kleijn; Mark Y Chan
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

4.  The ethnicity-specific association of biomarkers with the angiographic severity of coronary artery disease.

Authors:  C M Gijsberts; A Seneviratna; I E M Bank; H M den Ruijter; F W Asselbergs; P Agostoni; J A Remijn; G Pasterkamp; H C Kiat; M Roest; A M Richards; M Y Chan; D P V de Kleijn; I E Hoefer
Journal:  Neth Heart J       Date:  2016-03       Impact factor: 2.380

5.  Author`s Reply.

Authors:  Jae Seok Bae; Jong Hwa Ahn; Young Hoon Jeong
Journal:  Anatol J Cardiol       Date:  2017-11       Impact factor: 1.596

Review 6.  Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine.

Authors:  Kipp W Johnson; Khader Shameer; Benjamin S Glicksberg; Ben Readhead; Partho P Sengupta; Johan L M Björkegren; Jason C Kovacic; Joel T Dudley
Journal:  JACC Basic Transl Sci       Date:  2017-06-26

7.  Integration of Multiple-Omics Data to Analyze the Population-Specific Differences for Coronary Artery Disease.

Authors:  Yang Hu; Shizheng Qiu; Liang Cheng
Journal:  Comput Math Methods Med       Date:  2021-08-17       Impact factor: 2.238

8.  Usefulness of Proneurotensin to Predict Cardiovascular and All-Cause Mortality in a United States Population (from the Reasons for Geographic and Racial Differences in Stroke Study).

Authors:  Nicholas Wettersten; Mary Cushman; Virginia J Howard; Oliver Hartmann; Gerasimos Filippatos; Neil Beri; Paul Clopton; George Howard; Monika M Safford; Suzanne E Judd; Andreas Bergmann; Joachim Struck; Alan S Maisel
Journal:  Am J Cardiol       Date:  2018-03-28       Impact factor: 2.778

9.  Inverse association of ApoB and HSP60 antibodies with coronary artery disease in Indian population.

Authors:  Thiruvelselvan Ponnusamy; Srikanth K Venkatachala; Manjunatha Ramanjappa; Vijay V Kakkar; Lakshmi A Mundkur
Journal:  Heart Asia       Date:  2018-06-26
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.