Machine learning-based identification and validation of amino acid metabolism related genes as novel biomarkers in chronic kidney disease
Our study identified key genes involved in amino acid metabolism associated with immune cells infiltration and renal function in CKD, which may be potential biomarkers for the diagnosis and prognosis of CKD.
Authors
- Hongyan Luo (ORCID: https://orcid.org/0000-0003-3845-2400)
- Xiaohua Lü (ORCID: https://orcid.org/0000-0001-9244-6808)
- Haixia Lu
- Mei Wang (ORCID: https://orcid.org/0000-0002-4740-3320)
- Bo Li (ORCID: https://orcid.org/0000-0002-7337-0112)
- Guoqing Zhang (ORCID: https://orcid.org/0000-0001-8827-7546)
- Ya-Li Zheng (ORCID: https://orcid.org/0009-0001-7316-5821)
- Yonghua Liu (ORCID: https://orcid.org/0000-0002-3637-7796)
Institutions
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- Ningxia Medical University (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.heliyon.2025.e41872
- Citations
- 1
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- National Natural Science Foundation of China