Identification of aging-related biomarkers for intervertebral disc degeneration in whole blood samples based on bioinformatics and machine learning

IntroductionAging is characterized by gradual structural and functional changes in the body over time, with intervertebral disc degeneration (IVDD) representing a key manifestation of spinal aging and a major contributor to low back pain (LBP).MethodsThis study utilized bioinformatics and machine le...

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Библиографические подробности

Главные авторы:	Zi-hang Li, Shi-pian Li, Ya-hao Li, Yu-cheng Wang, Zhen-yu Tang, Kai-yang Xu, Xiao-rong Li, Zhen Tan, Jiao-yi Pan, Jin-tao Liu, Hong Jiang, Zhi-jia Ma, Yu-xiang Dai, Peng-fei Yu
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Frontiers Media S.A. 2025-04-01
Серии:	Frontiers in Immunology
Предметы:	intervertebral disc degeneration aging-related biomarkers bioinformatics machine learning immune infiltration analysis whole blood samples
Online-ссылка:	https://www.frontiersin.org/articles/10.3389/fimmu.2025.1565945/full
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