Galectin‐3, Metabolic Risk, and Incident Heart Failure: The ARIC Study

Author:

Echouffo‐Tcheugui Justin B.1ORCID,Zhang Sui2ORCID,Florido Roberta3ORCID,Pankow James S.4ORCID,Michos Erin D.3ORCID,Goldberg Ronald B.5,Nambi Vijay6ORCID,Gerstenblith Gary3ORCID,Post Wendy S.3ORCID,Blumenthal Roger S.3ORCID,Ballantyne Christie M.6ORCID,Coresh Josef2ORCID,Selvin Elizabeth2ORCID,Ndumele Chiadi E.3ORCID

Affiliation:

1. Division of Endocrinology, Diabetes and Metabolism, Department of Medicine Johns Hopkins University Baltimore MD

2. Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research Johns Hopkins Bloomberg School of Public Health Baltimore MD United States

3. Division of Cardiology, Department of Medicine Johns Hopkins University School of Medicine Baltimore MD

4. Department of Epidemiology at the University of Minnesota Minneapolis MN

5. Division of Endocrinology, Diabetes and Metabolism, Department of Medicine University of Miami Miami FL

6. Section of Cardiovascular Research Baylor College of Medicine and Houston Methodist DeBakey Heart and Vascular Center Houston TX

Abstract

Background It is unclear how metabolic syndrome (MetS) and diabetes affect Gal‐3 (galectin 3) levels and the resulting implications for heart failure (HF) risk. We assessed relationships of MetS and diabetes with Gal‐3, and their joint associations with incident HF. Methods and Results We included 8445 participants without HF (mean age, 63 years; 59% men; 16% Black race) at ARIC (Atherosclerosis Risk in Communities) study visit 4 (1996–1999). We categorized participants as having MetS only, MetS with diabetes, or neither, and by quartiles of MetS severity Z score. We assessed cross‐sectional associations of metabolic risk categories with high Gal‐3 level (≥75th percentile) using logistic regression. We used Cox regression to evaluate combined associations of metabolic risk categories and Gal‐3 quartiles with HF. In cross‐sectional analyses, compared with no MetS and no diabetes, MetS only (odds ratio [OR], 1.24 [95% CI, 1.10–1.41]) and MetS with diabetes (OR, 1.59 [95% CI, 1.32–1.92]) were associated with elevated Gal‐3. Over a median follow‐up of 20.5 years, there were 1749 HF events. Compared with individuals with neither diabetes nor MetS and with Gal‐3 in the lowest quartile, the combination of MetS with diabetes and Gal‐3 ≥75th percentile was associated with a 4‐fold higher HF risk (hazard ratio, 4.35 [95% CI, 3.30–5.73]). Gal‐3 provided HF prognostic information above and beyond MetS, NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide), high‐sensitivity cardiac troponin T, and CRP (C‐reactive protein) (ΔC statistic for models with versus without Gal‐3: 0.003; P =0.004). Conclusions MetS and diabetes are associated with elevated Gal‐3. The HF risk significantly increased with the combination of greater metabolic risk and higher Gal‐3.

Publisher

Ovid Technologies (Wolters Kluwer Health)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3