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. 2023 Mar 29;23(1):167.
doi: 10.1186/s12872-023-03171-5.

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

Nan Jin #  1 , Mengjie Yu #  2   3 , Xiaoyue Du #  2 , Zhiguo Wu  3 , Changlin Zhai  4 , Haihua Pan  4 , Jinping Gu  5 , Baogang Xie  6   7
Affiliations

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

Nan Jin et al. BMC Cardiovasc Disord. .

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.

Keywords: Biomarkers; Children with pulmonary arterial hypertension associated with congenital heart disease (PAH-CHD); Metabolomics; Nuclear magnetic resonance; UPLC-MS/MS.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be constructed as a potential conflict of interest.

Figures

Fig. 1
Fig. 1
Experimental flowchart for screening the potential serum diagnostic biomarkers of PAH-CHD from CHD.
Fig. 2
Fig. 2
Result of PCA, OPLS-DA generated by data from 1HNMR spectra and permutation test plots (200 permutations) of the OPLS-DA model. (A) PCA scores plot; (B) OPLS-DA scores plot; (C) Permutation test plots (200 permutations) of the OPLS-DA model
Fig. 3
Fig. 3
Significantly altered metabolic pathways between CHD and PAH-CHD patients All matched pathways were shown according to p values from the pathway enrichment analysis (y-axis) and pathway impact values from pathway topology analysis (x-axis) [23], with the most impacted pathways colored in red
Fig. 4
Fig. 4
Significantly altered serum metabolites between PAH-CHD and CHD patients
See this image and copyright information in PMC

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