Plasma proteomics identify novel biomarkers and dynamic patterns of biological aging
These significant discoveries underscore the importance of monitoring and intervening in the aging process at critical periods, alongside identifying potential biomarkers and therapeutic targets for age-related disorders within the plasma proteomic landscape, thus offering valuable insights into healthy aging.
Authors
- Lingzhi Ma (ORCID: https://orcid.org/0000-0001-8963-0030)
- Jianfeng Feng (ORCID: https://orcid.org/0000-0002-4003-9458)
- Weishi Liu (ORCID: https://orcid.org/0000-0002-0543-6917)
- Lan Tan (ORCID: https://orcid.org/0000-0002-8759-7588)
- Yi Zhang (ORCID: https://orcid.org/0000-0001-7641-6350)
- Jia You
- Wei Cheng (ORCID: https://orcid.org/0000-0002-0088-7209)
- Jin-Tai Yu
- Yu He (ORCID: https://orcid.org/0009-0001-0179-6149)
Institutions
- Qingdao University (CN)
- Fudan University (CN)
- Qingdao Municipal Hospital (CN)
- Huashan Hospital (CN)
- Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
- State Key Laboratory of Medical Neurobiology
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-05-04
- DOI
- https://doi.org/10.1016/j.jare.2025.05.004
- Citations
- 9
- Primary Topic
- Genetics, Aging, and Longevity in Model Organisms
- Type
- article
- Field-Weighted Citation Impact
- 8.58