Identification of ferroptosis-related key genes associated with immune infiltration in sepsis by bioinformatics analysis and in vivo validation

被引:2
|
作者
Shi, Rui [1 ,2 ]
Bai, Chunyun [3 ]
Sun, Shibo [4 ]
Wang, Fang [5 ]
Li, Chaozhong [5 ]
Wang, Chongyu [1 ,2 ]
Hu, Lidan [6 ]
Zhao, Ziwen [7 ]
Guo, Qiuzhe [7 ]
Du, Guanhua [8 ]
Xu, Dan [6 ]
Chen, Alex F. [9 ]
Yang, Weimin [1 ,2 ,9 ]
机构
[1] Kunming Med Univ, Sch Pharmaceut Sci, Kunming, Peoples R China
[2] Kunming Med Univ, Yunnan Key Lab Pharmacol Nat Prod, Kunming, Peoples R China
[3] Yunnan Inst Food & Drug Control, Kunming, Peoples R China
[4] Kunming Med Univ, Affiliated Hosp 1, Dept Pulm & Crit Care Med, Kunming, Peoples R China
[5] Kunming Med Univ, Affiliated Hosp 1, Dept Emergency, Kunming, Peoples R China
[6] Kunming Med Univ, Affiliated Hosp 1, Dept Dermatol, Kunming, Peoples R China
[7] Kunming Med Univ, Yunnan Fuwai Cardiovasc Hosp, Dept Cardiac Surg, Kunming, Peoples R China
[8] Chinese Acad Med Sci, Inst Mat Med, Beijing, Peoples R China
[9] Shanghai Jiao Tong Univ, Xinhua Hosp, Sch Med, Inst Dev & Regenerat Cardiovasc Med, 1665 Kongjiang Rd, Shanghai 200092, Peoples R China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Sepsis; Ferroptosis; Immune infiltration; Acute lung injury; Cardiac injury;
D O I
10.1016/j.gene.2024.148482
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Objectives: Sepsis is a life-threatening infectious disease in which an immune inflammatory response is triggered. The potential effect of ferroptosis-related genes (FRGs) in inflammation of sepsis remained unclear. We focused on identifying and validating core FRGs and their association with immune infiltration in blood from currently all patients with sepsis. Methods: All current raw data of septic blood were obtained from Gene Expression Omnibus. After removing the batch effect merging into a complete dataset and obtaining Diferentially expressed genes (DEGs). Common crosstalk genes were identified from DEGs and FRGs. WGCNA, GO, KEGG, PPI, GESA, ROC curves, and LASSO regression analysis were performed to indentify and validate key genes based on external septic datasets. Infiltrated immune cells in 2 hub genes (MAPK14 and ACSL4) were conducted using CIBERSORT algorithm and Spearman correlation analysis. Further, the expressions of 2 core FRGs were verified in the LPS-induced ALI and cardiac injury sepsis mice. Results: MAPK14 and ACSL4 were identified, mostly enriched in T cell infiltration through NOD-like receptor signaling pathway according to the high or low 2 hub genes expression. The upregulated 2 ferroptosis-related genes were validated in LPS-induced ALI and cardiac injury mice, accompanied by upregulation of the NLRP3 pathway. Conclusion: MAPK14 and ACSL4 could become robustly reliable and promising biomarkers for sepsis by regulating ferroptosis through the NLRP3 pathway, which is mainly associated with T-cell infiltration.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Identification of RRM2 as a key ferroptosis-related gene in sepsis
    He, Shasha
    He, Yidong
    Deng, Liyan
    Guo, Yuhong
    Wang, Xiaopeng
    Wang, Qian
    Luo, Lianxiang
    Liu, Qingquan
    INFLAMMATION RESEARCH, 2024, 73 (03) : 459 - 473
  • [22] Identification of RRM2 as a key ferroptosis-related gene in sepsis
    Shasha He
    Yidong He
    Liyan Deng
    Yuhong Guo
    Xiaopeng Wang
    Qian Wang
    Lianxiang Luo
    Qingquan Liu
    Inflammation Research, 2024, 73 : 459 - 473
  • [23] Comprehensive analysis of ferroptosis-related genes in immune infiltration and prognosis in multiple myeloma
    Wang, Quanqiang
    Zhao, Misheng
    Zhang, Tianyu
    Zhang, Bingxin
    Zheng, Ziwei
    Lin, Zhili
    Zhou, Shujuan
    Zheng, Dong
    Chen, Zixing
    Zheng, Sisi
    Zhang, Yu
    Lin, Xuanru
    Dong, Rujiao
    Chen, Jingjing
    Qian, Honglan
    Hu, Xudong
    Zhuang, Yan
    Zhang, Qianying
    Jiang, Songfu
    Ma, Yongyong
    FRONTIERS IN PHARMACOLOGY, 2023, 14
  • [24] Bioinformatics Analysis and Identification of Ferroptosis-Related Hub Genes in Intervertebral Disc Degeneration
    Jiang, Feng
    Li, Xinxin
    Xie, Zhiyang
    Liu, Lei
    Wu, Xiaotao
    Wang, Yuntao
    BIOCHEMICAL GENETICS, 2024, 62 (05) : 3403 - 3420
  • [25] Identification and verification of ferroptosis-related genes in diabetic foot using bioinformatics analysis
    Wang, Xiaoxiang
    Dai, Shangtai
    Zheng, Wenlian
    Chen, Wentao
    Li, Jiehua
    Chen, Xiaodong
    Zhou, Sitong
    Yang, Ronghua
    INTERNATIONAL WOUND JOURNAL, 2023, 20 (08) : 3191 - 3203
  • [26] Identification of key genes and novel immune infiltration-associated biomarkers of sepsis
    Xu, Chao
    Xu, Jianbo
    Lu, Ling
    Tian, Wendan
    Ma, Jinling
    Wu, Meng
    INNATE IMMUNITY, 2020, 26 (08) : 666 - 682
  • [27] Identification and validation of ferroptosis-related genes for diabetic retinopathy
    Lu, Changjin
    Lan, Qingxia
    Song, Qiuyue
    Yu, Xiaoyi
    CELLULAR SIGNALLING, 2024, 113
  • [28] IDENTIFYING POTENTIAL KEY FERROPTOSIS-RELATED GENES AND THERAPEUTIC DRUGS IN SEPSIS-INDUCED ARDS BY BIOINFORMATICS AND EXPERIMENTAL VERIFICATION
    Li, Man
    Ren, Xiaojing
    Lu, Futai
    Pang, Shenyue
    Ding, Ling
    Wang, Lei
    Xie, Shuhua
    Geng, Licheng
    Xu, Jiangang
    Yang, Tao
    SHOCK, 2025, 63 (01): : 141 - 154
  • [29] Analysis and identification of ferroptosis-related genes in ulcerative colitis
    Chen, Chen
    Lan, Bo
    Xie, Guanghong
    Liu, Zhaoyang
    SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY, 2023, 58 (12) : 1422 - 1433
  • [30] Ferroptosis-related genes in preeclampsia: integrative bioinformatics analysis, experimental validation and drug prediction
    He, Lidan
    Zhan, Feng
    Li, Xuemei
    Yang, Huijuan
    Wu, Jianbo
    BMC PREGNANCY AND CHILDBIRTH, 2025, 25 (01)