Identification of key metabolism-related genes and pathways in spontaneous preterm birth: combining bioinformatic analysis and machine learning
Three potential hub genes that influence the occurrence of sPTB through shadow participation in placental metabolism were identified; these results provide a new perspective for the development and targeting of treatments for sPTB.
Authors
- Yuanhui Jia
- Han Xie (ORCID: https://orcid.org/0000-0002-5982-0981)
- Shengyu Wu (ORCID: https://orcid.org/0000-0001-8411-8302)
- Wenqi Lv (ORCID: https://orcid.org/0000-0002-4033-9725)
- Jiaqi Dong
- Hao Ying (ORCID: https://orcid.org/0000-0002-6098-7017)
Institutions
- Shanghai First Maternity and Infant Hospital (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2024-08-20
- DOI
- https://doi.org/10.3389/fendo.2024.1440436
- Citations
- 2
- Primary Topic
- Birth, Development, and Health
- Type
- article
- Field-Weighted Citation Impact
- 2.22
Funders
- National Natural Science Foundation of China
- Tongji University
- National Key Research and Development Program of China