Immune-Related Molecules CD3G and FERMT3: Novel Biomarkers Associated with Sepsis

被引:0
作者
Li, Nanxi [1 ]
Ren, Peng [2 ]
Wang, Jingya [2 ]
Zhu, Xiaohui [1 ]
Qiao, Xuan [1 ]
Zeng, Zhirui [3 ]
Ye, Tong [1 ]
Wang, Shanshan [1 ]
Meng, Zhiyun [1 ]
Gan, Hui [1 ]
Liu, Shuchen [1 ]
Sun, Yunbo [1 ]
Zhu, Xiaoxia [1 ]
Dou, Guifang [1 ]
Gu, Ruolan [1 ]
机构
[1] Beijing Inst Radiat Med, Dept Pharmaceut Sci, Beijing 100850, Peoples R China
[2] Beijing Inst Basic Med Sci, Beijing 100850, Peoples R China
[3] Guizhou Med Univ, Sch Basic Med Sci, Dept Physiol, Guizhou Prov Key Lab Pathogenesis & Drug Res Commo, Guiyang 550000, Peoples R China
关键词
sepsis; hub gene; biomarkers; CD3G; FERMT3; WGCNA; SEPTIC SHOCK; KEY GENES; MORTALITY; IDENTIFICATION;
D O I
10.3390/ijms25020749
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
Sepsis ranks among the most common health problems worldwide, characterized by organ dysfunction resulting from infection. Excessive inflammatory responses, cytokine storms, and immune-induced microthrombosis are pivotal factors influencing the progression of sepsis. Our objective was to identify novel immune-related hub genes for sepsis through bioinformatic analysis, subsequently validating their specificity and potential as diagnostic and prognostic biomarkers in an animal experiment involving a sepsis mice model. Gene expression profiles of healthy controls and patients with sepsis were obtained from the Gene Expression Omnibus (GEO) and analysis of differentially expressed genes (DEGs) was conducted. Subsequently, weighted gene co-expression network analysis (WGCNA) was used to analyze genes within crucial modules. The functional annotated DEGs which related to the immune signal pathways were used for constructing protein-protein interaction (PPI) analysis. Following this, two hub genes, FERMT3 and CD3G, were identified through correlation analyses associated with sequential organ failure assessment (SOFA) scores. These two hub genes were associated with cell adhesion, migration, thrombosis, and T-cell activation. Furthermore, immune infiltration analysis was conducted to investigate the inflammation microenvironment influenced by the hub genes. The efficacy and specificity of the two hub genes were validated through a mice sepsis model study. Concurrently, we observed a significant negative correlation between the expression of CD3G and IL-1 beta and GRO/KC. These findings suggest that these two genes probably play important roles in the pathogenesis and progression of sepsis, presenting the potential to serve as more stable biomarkers for sepsis diagnosis and prognosis, deserving further study.
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页数:19
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共 49 条
  • [41] Early-Onset Neonatal Sepsis
    Simonsen, Kari A.
    Anderson-Berry, Ann L.
    Delair, Shirley F.
    Davies, H. Dele
    [J]. CLINICAL MICROBIOLOGY REVIEWS, 2014, 27 (01) : 21 - 47
  • [42] Singer M, 2016, JAMA-J AM MED ASSOC, V315, P801, DOI 10.1001/jama.2016.0287
  • [43] Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
    Subramanian, A
    Tamayo, P
    Mootha, VK
    Mukherjee, S
    Ebert, BL
    Gillette, MA
    Paulovich, A
    Pomeroy, SL
    Golub, TR
    Lander, ES
    Mesirov, JP
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (43) : 15545 - 15550
  • [44] Into the Eye of the Cytokine Storm
    Tisoncik, Jennifer R.
    Korth, Marcus J.
    Simmons, Cameron P.
    Farrar, Jeremy
    Martin, Thomas R.
    Katze, Michael G.
    [J]. MICROBIOLOGY AND MOLECULAR BIOLOGY REVIEWS, 2012, 76 (01) : 16 - 32
  • [45] Selection of informative clusters from hierarchical cluster tree with gene classes
    Toronen, P
    [J]. BMC BIOINFORMATICS, 2004, 5 (1)
  • [46] Aberrant blood MALT1 and its relevance with multiple organic dysfunctions, T helper cells, inflammation, and mortality risk of sepsis patients
    Wang, Yibin
    Huang, Qinghe
    He, Fuyun
    [J]. JOURNAL OF CLINICAL LABORATORY ANALYSIS, 2022, 36 (04)
  • [47] Cytokine profile in plasma of severe COVID-19 does not differ from ARDS and sepsis
    Wilson, Jennifer G.
    Simpson, Laura J.
    Ferreira, Anne-Maud
    Rustagi, Arjun
    Roque, Jonasel
    Asuni, Adijat
    Ranganath, Thanmayi
    Grant, Philip M.
    Subramanian, Aruna
    Rosenberg-Hasson, Yael
    Maecker, Holden T.
    Holmes, Susan P.
    Levitt, Joseph E.
    Blish, Catherine A.
    Rogers, Angela J.
    [J]. JCI INSIGHT, 2020, 5 (17)
  • [48] Identification of key genes and novel immune infiltration-associated biomarkers of sepsis
    Xu, Chao
    Xu, Jianbo
    Lu, Ling
    Tian, Wendan
    Ma, Jinling
    Wu, Meng
    [J]. INNATE IMMUNITY, 2020, 26 (08) : 666 - 682
  • [49] A general framework for weighted gene co-expression network analysis
    Zhang, Bin
    Horvath, Steve
    [J]. STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY, 2005, 4 : i - 43