| Autor: |
Xuelian Yuan, Lu Li, Hong Kang, Meixian Wang, Jing Zeng, Yanfang Lei, Nana Li, Ping Yu, Xiaohong Li, Zhen Liu |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
BMC Cardiovascular Disorders, Vol 22, Iss 1, Pp 1-11 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2261 |
| DOI: |
10.1186/s12872-022-02912-2 |
| Popis: |
Abstract Introduction Congenital 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. Methods Sixty-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. Results A 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 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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