Identification of potential serum biomarkers for congenital heart disease children with pulmonary arterial hypertension by metabonomics

Abstract Background Pulmonary arterial hypertension is a common complication in patients with congenital heart disease. In the absence of early diagnosis and treatment, pediatric patients with PAH has a poor survival rate. Here, we explore serum biomarkers for distinguishing children with pulmonary...

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Main Authors: Nan Jin, Mengjie Yu, Xiaoyue Du, Zhiguo Wu, Changlin Zhai, Haihua Pan, Jinping Gu, Baogang Xie
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BMC Cardiovascular Disorders
Subjects:
Online Access:https://doi.org/10.1186/s12872-023-03171-5
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author Nan Jin
Mengjie Yu
Xiaoyue Du
Zhiguo Wu
Changlin Zhai
Haihua Pan
Jinping Gu
Baogang Xie
author_facet Nan Jin
Mengjie Yu
Xiaoyue Du
Zhiguo Wu
Changlin Zhai
Haihua Pan
Jinping Gu
Baogang Xie
author_sort Nan Jin
collection DOAJ
description Abstract Background Pulmonary arterial hypertension is a common complication in patients with congenital heart disease. In the absence of early diagnosis and treatment, pediatric patients with PAH has a poor survival rate. Here, we explore serum biomarkers for distinguishing children with pulmonary arterial hypertension associated with congenital heart disease (PAH-CHD) from CHD. Methods Samples were analyzed by nuclear magnetic resonance spectroscopy-based metabolomics and 22 metabolites were further quantified by ultra-high-performance liquid chromatography–tandem mass spectroscopy. Results Serum levels of betaine, choline, S-Adenosyl methionine (SAM), acetylcholine, xanthosine, guanosine, inosine and guanine were significantly altered between CHD and PAH-CHD. Logistic regression analysis showed that combination of serum SAM, guanine and N-terminal pro-brain natriuretic peptide (NT-proBNP), yielded the predictive accuracy of 157 cases was 92.70% with area under the curve of the receiver operating characteristic curve value of 0.9455. Conclusion We demonstrated that a panel of serum SAM, guanine and NT-proBNP is potential serum biomarkers for screening PAH-CHD from CHD.
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spelling doaj.art-ea0aeac8f1954fe1997d405bb3074ccd2023-04-03T05:15:37ZengBMCBMC Cardiovascular Disorders1471-22612023-03-0123111110.1186/s12872-023-03171-5Identification of potential serum biomarkers for congenital heart disease children with pulmonary arterial hypertension by metabonomicsNan Jin0Mengjie Yu1Xiaoyue Du2Zhiguo Wu3Changlin Zhai4Haihua Pan5Jinping Gu6Baogang Xie7College of Pharmaceutical Sciences, Zhejiang University of TechnologyKey laboratory of medical electronics and digital health of Zhejiang Province, Medical College of Jiaxing University, Jiaxing UniversityKey laboratory of medical electronics and digital health of Zhejiang Province, Medical College of Jiaxing University, Jiaxing UniversityThe Second Affiliated Hospital of Nanchang University, Nanchang UniversityDepartment of Cardiovascular Diseases, Institute of Atherosclerosis, the Affiliated hospital of Jiaxing UniversityDepartment of Cardiovascular Diseases, Institute of Atherosclerosis, the Affiliated hospital of Jiaxing UniversityCollege of Pharmaceutical Sciences, Zhejiang University of TechnologyCollege of Pharmaceutical Sciences, Zhejiang University of TechnologyAbstract Background Pulmonary arterial hypertension is a common complication in patients with congenital heart disease. In the absence of early diagnosis and treatment, pediatric patients with PAH has a poor survival rate. Here, we explore serum biomarkers for distinguishing children with pulmonary arterial hypertension associated with congenital heart disease (PAH-CHD) from CHD. Methods Samples were analyzed by nuclear magnetic resonance spectroscopy-based metabolomics and 22 metabolites were further quantified by ultra-high-performance liquid chromatography–tandem mass spectroscopy. Results Serum levels of betaine, choline, S-Adenosyl methionine (SAM), acetylcholine, xanthosine, guanosine, inosine and guanine were significantly altered between CHD and PAH-CHD. Logistic regression analysis showed that combination of serum SAM, guanine and N-terminal pro-brain natriuretic peptide (NT-proBNP), yielded the predictive accuracy of 157 cases was 92.70% with area under the curve of the receiver operating characteristic curve value of 0.9455. Conclusion We demonstrated that a panel of serum SAM, guanine and NT-proBNP is potential serum biomarkers for screening PAH-CHD from CHD.https://doi.org/10.1186/s12872-023-03171-5Children with pulmonary arterial hypertension associated with congenital heart disease (PAH-CHD)MetabolomicsNuclear magnetic resonanceUPLC-MS/MSBiomarkers
spellingShingle Nan Jin
Mengjie Yu
Xiaoyue Du
Zhiguo Wu
Changlin Zhai
Haihua Pan
Jinping Gu
Baogang Xie
Identification of potential serum biomarkers for congenital heart disease children with pulmonary arterial hypertension by metabonomics
BMC Cardiovascular Disorders
Children with pulmonary arterial hypertension associated with congenital heart disease (PAH-CHD)
Metabolomics
Nuclear magnetic resonance
UPLC-MS/MS
Biomarkers
title Identification of potential serum biomarkers for congenital heart disease children with pulmonary arterial hypertension by metabonomics
title_full Identification of potential serum biomarkers for congenital heart disease children with pulmonary arterial hypertension by metabonomics
title_fullStr Identification of potential serum biomarkers for congenital heart disease children with pulmonary arterial hypertension by metabonomics
title_full_unstemmed Identification of potential serum biomarkers for congenital heart disease children with pulmonary arterial hypertension by metabonomics
title_short Identification of potential serum biomarkers for congenital heart disease children with pulmonary arterial hypertension by metabonomics
title_sort identification of potential serum biomarkers for congenital heart disease children with pulmonary arterial hypertension by metabonomics
topic Children with pulmonary arterial hypertension associated with congenital heart disease (PAH-CHD)
Metabolomics
Nuclear magnetic resonance
UPLC-MS/MS
Biomarkers
url https://doi.org/10.1186/s12872-023-03171-5
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