TRAF3 as a potential diagnostic biomarker for recurrent pregnancy loss: insights from single-cell transcriptomics and machine learning
This study highlights TRAF3 as a promising diagnostic marker and therapeutic target for RPL. The diagnostic model we developed has potential for early detection and personalized treatment strategies for RPL.
Authors
- Yuxuan Song (ORCID: https://orcid.org/0000-0002-5302-7835)
- Aiguo Yang (ORCID: https://orcid.org/0000-0001-9491-8637)
- J F Li (ORCID: https://orcid.org/0009-0007-4864-0217)
- Ju Fang (ORCID: https://orcid.org/0000-0001-6990-2369)
- Yibo He (ORCID: https://orcid.org/0000-0002-8043-4727)
- Yi-Ran Fei
- Shiyuan Tong (ORCID: https://orcid.org/0000-0002-7899-5728)
- Cong Wang (ORCID: https://orcid.org/0000-0001-7831-3486)
- Li Zhang (ORCID: https://orcid.org/0000-0002-4891-7841)
- Jie Liu (ORCID: https://orcid.org/0000-0001-6079-7566)
- Jin Chen
- Rui Ye (ORCID: https://orcid.org/0000-0002-4021-8093)
- Yonglin Liu (ORCID: https://orcid.org/0009-0007-3966-7557)
- Shiliang Chen (ORCID: https://orcid.org/0000-0001-8204-7766)
- Yue Shang (ORCID: https://orcid.org/0000-0003-4121-2029)
- Zhe-Zhong Zhang
Institutions
- Zhejiang Chinese Medical University (CN)
- Fudan University (CN)
- State Key Laboratory of Medical Neurobiology
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2025-05-31
- DOI
- https://doi.org/10.1186/s12884-025-07742-6
- Citations
- 4
- Primary Topic
- Reproductive System and Pregnancy
- Type
- article
- Field-Weighted Citation Impact
- 3.19
Funders
- National Natural Science Foundation of China
- Zhejiang Chinese Medical University
- Natural Science Foundation of Zhejiang Province