ArticleBMC cardiovascular disorders2022
Biomarkers for isolated congenital heart disease based on maternal amniotic fluid metabolomics analysis.
Article in BMC cardiovascular disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- Maternal Blood as a Window to the Fetal Heart: Novel Biomarkers for Early Detection of Septal Defects.Biomedicines · 2026Review
- Identification of DNA methylation biomarkers in amniotic fluid for prenatal detection of congenital heart disease (CHD).Clinical epigenetics · 2026Article
- Mass Spectrometry-Based Metabolomics in Pediatric Health and Disease.Metabolites · 2026Review
- Metabolomic analysis of children with congenital heart disease complicated by neurological developmental abnormalities and CHD7 mutations.Frontiers in genetics · 2026Article
- Prenatal Metabolomics Analysis and Fetal Congenital Anomalies and Genetic Conditions: A Review of Current Literature.Prenatal diagnosis · 2025Review
- Amniotic fluid microbiota and metabolism with non-syndromic congenital heart defects: a multi-omics analysis.BMC pregnancy and childbirth · 2025Article
- Precision fetal cardiology detects cyanotic congenital heart disease using maternal saliva metabolome and artificial intelligence.Scientific reports · 2025Article
- Biomarkers for congenital ventricular outflow tract malformations based on maternal serum lipid metabolomics analysis.BMC pregnancy and childbirth · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionCongenital heart disease (CHD) is one of the most prevalent birth defects in the world. The pathogenesis of CHD is complex and unclear. With the development of metabolomics technology, variations in metabolites may provide new clues about the causes of CHD and may serve as a biomarker during pregnancy.
methodsSixty-five amniotic fluid samples (28 cases and 37 controls) during the second and third trimesters were utilized in this study. The metabolomics of CHD and normal fetuses were analyzed by untargeted metabolomics technology. Differential comparison and randomForest were used to screen metabolic biomarkers.
resultsA total of 2472 metabolites were detected, and they were distributed differentially between the cases and controls. Setting the selection criteria of fold change (FC) ≥ 2, P value < 0.01 and variable importance for the projection (VIP) ≥ 1.5, we screened 118 differential metabolites. Within the prediction model by random forest, PE(MonoMe(11,5)/MonoMe(13,5)), N-feruloylserotonin and 2,6-di-tert-butylbenzoquinone showed good prediction effects. Differential metabolites were mainly concentrated in aldosterone synthesis and secretion, drug metabolism, nicotinate and nicotinamide metabolism pathways, which may be related to the occurrence and development of CHD.
conclusionThis study provides a new database of CHD metabolic biomarkers and mechanistic research. These results need to be further verified in larger samples.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.