Clinical-transcriptomic classification of lumbar disc degeneration enhanced by machine learning
Our study delineates 4 distinct molecular subtypes of LDD that can be accurately stratified on the basis of clinical features. The identification of these subtypes would facilitate precise diagnostics and guide the development of personalized treatment strategies for LDD.
Authors
- Yibo Gan (ORCID: https://orcid.org/0000-0002-6258-9100)
- Xiaoyuan Ma (ORCID: https://orcid.org/0000-0001-9449-8150)
- Bo Hu (ORCID: https://orcid.org/0000-0002-3862-1350)
- Peng Lin (ORCID: https://orcid.org/0000-0002-6347-1673)
- J. K. S. Pu
- Ou Hu
- Sha Huang (ORCID: https://orcid.org/0000-0001-8419-0320)
- Pulin Yan
- Bing Liu (ORCID: https://orcid.org/0000-0002-7313-6924)
- Peng Liu (ORCID: https://orcid.org/0000-0002-6678-2266)
- Yangyang Li (ORCID: https://orcid.org/0000-0002-5791-9443)
- Liang Zhang (ORCID: https://orcid.org/0000-0001-7561-1488)
- Jian He
- Yangli Xie (ORCID: https://orcid.org/0000-0002-2865-1126)
- Yingbo Wang (ORCID: https://orcid.org/0000-0002-8835-3681)
- Qin Qin (ORCID: https://orcid.org/0000-0002-6719-794X)
- Huaijian Jin
- Lin Chen (ORCID: https://orcid.org/0000-0001-6997-395X)
- Lan Yu (ORCID: https://orcid.org/0000-0003-0448-1887)
- Jun Zhu (ORCID: https://orcid.org/0000-0001-9292-1154)
Institutions
- Ministry of Education of the People's Republic of China (CN)
- Army Medical University (CN)
- Chinese PLA General Hospital (CN)
- Daping Hospital (CN)
- Health and Family Planning Commission of Sichuan Province (CN)
- Chengdu Military General Hospital (CN)
Publication Details
- Journal
- Military Medical Research
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1186/s40779-025-00637-9
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Chongqing
- State Key Laboratory of Trauma, Burns and Combined Injury