Biomarker signature and pathophysiological pathways in patients with chronic heart failure and metabolic syndrome

Author:

van der Hoef Camilla C.S.1,Boorsma Eva M.1,Emmens Johanna E.1,van Essen Bart J.1,Metra Marco2,Ng Leong L.34,Anker Stefan D.5,Dickstein Kenneth67,Mordi Ify R.8,Dihoum Adel8,Lang Chim C.8,van Veldhuisen Dirk J.1,Lam Carolyn S.P.1910,Voors Adriaan A.1

Affiliation:

1. Department of Cardiology, University of Groningen University Medical Centre Groningen Groningen The Netherlands

2. Institute of Cardiology, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health University of Brescia Brescia Italy

3. Department of Cardiovascular Sciences University of Leicester Leicester UK

4. NIHR Leicester Biomedical Research Centre Glenfield Hospital Leicester UK

5. Department of Cardiology (CVK); and Berlin Institute of Health Center for Regenerative Therapies (BCRT); German Centre for Cardiovascular Research (DZHK) partner site Berlin Charité Universitätsmedizin Berlin Germany

6. University of Bergen Bergen Norway

7. Stavanger University Hospital Stavanger Norway

8. Division of Molecular and Clinical Medicine, School of Medicine, Ninewells Hospital & Medical School University of Dundee Dundee UK

9. Saw Swee Hock School of Public Health and National University of Singapore and National University Health System Singapore

10. Duke‐NUS Medical School Singapore Singapore

Abstract

AbstractAimThe comorbidities that collectively define metabolic syndrome are common in patients with heart failure. However, the role of metabolic syndrome in the pathophysiology of heart failure is not well understood. We therefore investigated the clinical and biomarker correlates of metabolic syndrome in patients with heart failure.Methods and resultsIn 1103 patients with heart failure, we compared the biomarker expression using a panel of 363 biomarkers among patients with (n = 468 [42%]) and without (n = 635 [58%]) metabolic syndrome. Subsequently, a pathway overrepresentation analysis was performed to identify key biological pathways. Findings were validated in an independent cohort of 1433 patients with heart failure of whom 615 (43%) had metabolic syndrome. Metabolic syndrome was defined as the presence of three or more of five criteria, including central obesity, elevated serum triglycerides, reduced high‐density lipoprotein cholesterol, insulin resistance and hypertension. The most significantly elevated biomarkers in patients with metabolic syndrome were leptin (log2 fold change 0.92, p = 5.85 × 10−21), fatty acid‐binding protein 4 (log2 fold change 0.61, p = 1.21 × 10−11), interleukin‐1 receptor antagonist (log2 fold change 0.47, p = 1.95 × 10−13), tumour necrosis factor receptor superfamily member 11a (log2 fold change 0.35, p = 4.16 × 10−9), and proto‐oncogene tyrosine‐protein kinase receptor Ret (log2 fold change 0.31, p = 4.87 × 10−9). Network analysis identified 10 pathways in the index cohort and 6 in the validation cohort, all related to inflammation. The primary overlapping pathway in both the index and validation cohorts was up‐regulation of the natural killer cell‐mediated cytotoxicity pathway.ConclusionMetabolic syndrome is highly prevalent in heart failure and is associated with biomarkers and pathways relating to obesity, lipid metabolism and immune responses underlying chronic inflammation.

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. February 2023 at a glance: focus on pathophysiology and treatment;European Journal of Heart Failure;2023-02

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