Gene signature based on glycolysis is closely related to immune infiltration of patients with osteoarthritis

被引:2
作者
Chen, Ziyi [1 ]
Hua, Yinghui [1 ]
机构
[1] Fudan Univ, Huashan Hosp, Dept Sports Med, 12 Wulumuqi Zhong Rd, Shanghai 200040, Peoples R China
基金
中国国家自然科学基金;
关键词
Metabolism; Glycolysis; Immune infiltration; Osteoarthritis; EXPRESSION; TISSUE; CELLS;
D O I
10.1016/j.cyto.2023.156377
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Background: Osteoarthritis (OA) is a degenerative arthritis with high levels of clinical heterogeneity. Aberrant metabolism such as shifting from oxidative phosphorylation to glycolysis is a response to changes in the inflammatory microenvironment of OA. Therefore, there is a pressing need to identify novel glycolysis regulators during OA progression.Methods: We systematically studied glycolysis patterns mediated by 141 glycolysis regulators in 74 human synovial samples and discussed the characteristics of the immune microenvironment modified by glycolysis. The random forest (RF) method was applied to screen candidate hub glycolysis regulators in OA. RT-qPCR was performed to validate these key regulators. Then distinct glycolysis patterns were identified, and systematic correlation between these glycolysis patterns and immune cell infiltration was analyzed. The glycolysis score was constructed to quantify glycolysis patterns together with immune infiltration of individual OA patient.Results: 56 glycolysis-related differentially expressed genes (DEGs) were identified between OA and non-OA samples. STC1, VEGFA, KDELR3, DDIT4 and PGAM1 were selected as candidate genes to predict the probability of OA. Two glycolysis patterns in OA were identified. Glycolysis cluster A with higher glycolysis score was related to an inflamed phenotype.Conclusions: Taken together, our results established a glycolysis-based genetic signature for OA, guided in-depth studies on the metabolic mechanism of OA, and facilitated to explore new clinical treatment strategies.
引用
收藏
页数:9
相关论文
共 50 条
[31]   Identification of a glycolysis-related gene signature for predicting prognosis in patients with hepatocellular carcinoma [J].
Kong, Junjie ;
Yu, Guangsheng ;
Si, Wei ;
Li, Guangbing ;
Chai, Jiawei ;
Liu, Yong ;
Liu, Jun .
BMC CANCER, 2022, 22 (01)
[32]   Machine-Learning Algorithm-Based Prediction of Diagnostic Gene Biomarkers Related to Immune Infiltration in Patients With Chronic Obstructive Pulmonary Disease [J].
Zhang, Yuepeng ;
Xia, Rongyao ;
Lv, Meiyu ;
Li, Zhiheng ;
Jin, Lingling ;
Chen, Xueda ;
Han, Yaqian ;
Shi, Chunpeng ;
Jiang, Yanan ;
Jin, Shoude .
FRONTIERS IN IMMUNOLOGY, 2022, 13
[33]   Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancer [J].
Jiao, Yangchi ;
Ji, Fuqing ;
Hou, Lan ;
Lv, Yonggang ;
Zhang, Juliang .
HELIYON, 2024, 10 (03)
[34]   Metabolism related gene signature predicts prognosis and indicates tumor immune infiltration in ovarian cancer [J].
Zhang, Yaodong ;
Zhao, Xuenan ;
Qiu, Huilan ;
Chen, Xia ;
Zhang, Zhongwei ;
Zhu, Biao ;
Bu, Liwen ;
Xia, Zuguang .
EUROPEAN JOURNAL OF GYNAECOLOGICAL ONCOLOGY, 2024, 45 (03) :37-47
[35]   Glycolysis-Metabolism-Related Prognostic Signature for Ewing Sarcoma Patients [J].
Jia, Fusen ;
Liu, Lei ;
Weng, Qi ;
Zhang, Haiyang ;
Zhao, Xuesheng .
MOLECULAR BIOTECHNOLOGY, 2024, 66 (10) :2882-2896
[36]   Bioinformatics-based analysis of potential candidates chromatin regulators for immune infiltration in osteoarthritis [J].
Wang, Weiwei ;
Ou, Zhixue ;
Peng, Jianlan ;
Wang, Ning ;
Zhou, Yi .
BMC MUSCULOSKELETAL DISORDERS, 2022, 23 (01)
[37]   Novel insights into the pathogenesis of thyroid eye disease through ferroptosis-related gene signature and immune infiltration analysis [J].
Ye, Yunyan ;
Dai, Lei ;
Mugaanyi, Joseph ;
Fu, Weina ;
Hu, Feng .
AGING-US, 2024, 16 (07) :6008-6034
[38]   A novel anoikis-related gene signature predicts prognosis in patients with sepsis and reveals immune infiltration [J].
Wang, Yonghua ;
Chi, Yanqi ;
Zhu, Cheng ;
Zhang, Yuxuan ;
Li, Ke ;
Chen, Jiajia ;
Jiang, Xiying ;
Chen, Kejie ;
Li, Shuping .
SCIENTIFIC REPORTS, 2024, 14 (01)
[39]   Identification and Validation of the Glycolysis and Immune- related Gene Signature for Prognosis in Colorectal Cancer [J].
Jiang, Min ;
Liu, Yong ;
Xu, Jianzhong ;
Xu, Zhen ;
Ye, Tao ;
Li, Shiyang ;
Jiang, Chunying .
ANTICANCER RESEARCH, 2024, 44 (01) :117-131
[40]   Immune infiltration and immune gene signature predict the response to fluoropyrimidine-based chemotherapy in colorectal cancer patients [J].
Mo, Xianwei ;
Huang, Xiaoliang ;
Feng, Yan ;
Wei, Chunyin ;
Liu, Haizhou ;
Ru, Haiming ;
Qin, Haiquan ;
Lai, Hao ;
Wu, Guo ;
Xie, Weishun ;
Jeen, Franco ;
Lin, Yuan ;
Liu, Jungang ;
Tang, Weizhong .
ONCOIMMUNOLOGY, 2020, 9 (01)