Differences in the serum metabolic profile to identify potential biomarkers for cyanotic versus acyanotic heart disease

Author:

Vimal Suman12,Ranjan Renuka3,Yadav Surabhi1,Majumdar Gauranga1,Mittal Balraj4,Sinha Neeraj3,Agarwal Surendra Kumar1ORCID

Affiliation:

1. Department of Cardiovascular and Thoracic Surgery, SGPGIMS, Lucknow, Uttar Pradesh, India

2. Dr. APJ Abdul Kalam Technical University, IET Campus, Lucknow, Uttar Pradesh, India

3. Centre of Biomedical Research, SGPGIMS, Lucknow, Uttar Pradesh, India

4. Babasaheb Bhimrao Ambedkar University, Lucknow, Uttar Pradesh, India

Abstract

Background: Growth retardation, malnutrition, and failure to thrive are some of the consequences associated with congenital heart diseases. Several metabolic factors such as hypoxia, anoxia, and several genetic factors are believed to alter the energetics of the heart. Timely diagnosis and patient management is one of the major challenges faced by the clinicians in understanding the disease and provide better treatment options. Metabolic profiling has shown to be potential diagnostic tool to understand the disease. Objective: The present experiment was designed as a single center observational pilot study to classify and create diagnostic metabolic signatures associated with the energetics of congenital heart disease in cyanotic and acyanotic groups. Methods: Metabolic sera profiles were obtained from 35 patients with cyanotic congenital heart disease (TOF) and 23 patients with acyanotic congenital heart disease (ASD and VSD) using high resolution 1D 1H NMR spectra. Univariate and multivariate statistical analysis were performed to classify particular metabolic disorders associated with cyanotic and acyanotic heart disease. Results: The results show dysregulations in several metabolites in cyanotic CHD patients versus acyanotic CHD patients. The discriminatory metabolites were further analyzed with area under receiver operating characteristic (AUROC) curve and identified four metabolic entities (i.e. mannose, hydroxyacetone, myoinositol, and creatinine) which could differentiate cyanotic CHDs from acyanotic CHDs with higher specificity. Conclusion: An untargeted metabolic approach proved to be helpful for the detection and distinction of disease-causing metabolites in cyanotic patients from acyanotic ones and can be useful for designing better and personalized treatment protocol.

Funder

University Grants Commission

council of scientific and industrial research, india

Publisher

SAGE Publications

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Safety Research,Radiology, Nuclear Medicine and imaging,General 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

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