Blood long non-coding RNA intersectin 1-2 is highly expressed and links with increased Th17 cells, inflammation, multiple organ dysfunction, and mortality risk in sepsis patients

被引:6
作者
Huang, Qinghe [1 ]
Wang, Yibin [1 ]
He, Fuyun [1 ]
机构
[1] Xiamen Univ, Dept Cent Intens Care Unit, Zhongshan Hosp, 201-209 South Hubin Rd, Xiamen 361004, Peoples R China
关键词
inflammation; lncRNA ITSN1-2; multiple organ dysfunction; sepsis; Th1 and Th17 cells; RHEUMATOID-ARTHRITIS; PROLIFERATION; PATHOGENESIS; DIAGNOSIS;
D O I
10.1002/jcla.24330
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Background Long non-coding RNA intersectin 1-2 (lnc-ITSN1-2) exacerbates inflammation and promotes T-helper (Th) cell differentiation, also serves as a biomarker in critical illness diseases. However, its clinical role in sepsis remains obscure. Hence, the study aimed to explore the relationship of lnc-ITSN1-2 with Th cells, inflammation, disease severity, multiple organ dysfunction, and mortality risk in sepsis. Methods Peripheral blood mononuclear cells (PBMC) were isolated from 95 sepsis patients and 50 health controls, followed by lnc-ITSN1-2 evaluation using RT-qPCR. PBMC Th1, Th17 cells and their secreted cytokines in serum were detected by flow cytometry and ELISA, respectively. Results Lnc-ITSN1-2 in sepsis patients was higher than it in health controls (Z = -7.328, p < 0.001). Lnc-ITSN1-2 correlated with increased interferon-gamma (p = 0.009), Th17 cells (p = 0.022), and interleukin-17A (p = 0.006), but not Th1 cells (p = 0.169) in sepsis patients. Moreover, lnc-ITSN1-2 had a positive connection with C-reactive protein (p = 0.001), acute pathologic and chronic health evaluation (APACHE) II (p = 0.024), and sequential organ failure assessment (SOFA) scores (p = 0.022). Regarding SOFA subscales, lnc-ITSN1-2 linked with elevated respiratory system score (p = 0.005), cardiovascular system score (p = 0.007), and renal system score (p = 0.004) but no other subscales. Besides, lnc-ITSN1-2 had an increasing trend, but no statistical difference, in septic deaths compared to survivors (Z = -1.852, p = 0.064). Conclusion Lnc-ITSN1-2 reflects sepsis progression and unfavorable prognosis to some extent, which may serve as a potential biomarker to improve the management of sepsis patients.
引用
收藏
页数:7
相关论文
共 28 条
[1]   Identifying Patients With Sepsis on the Hospital Wards [J].
Bhattacharjee, Poushali ;
Edelson, Dana P. ;
Churpek, Matthew M. .
CHEST, 2017, 151 (04) :898-907
[2]   Fluid Management in Sepsis [J].
Brown, Ryan M. ;
Semler, Matthew W. .
JOURNAL OF INTENSIVE CARE MEDICINE, 2019, 34 (05) :364-373
[3]   Cytokine storm and sepsis disease pathogenesis [J].
Chousterman, Benjamin G. ;
Swirski, Filip K. ;
Weber, Georg F. .
SEMINARS IN IMMUNOPATHOLOGY, 2017, 39 (05) :517-528
[4]   Sepsis and septic shock: Guideline-based management [J].
Dugar, Siddharth ;
Choudhary, Chirag ;
Duggal, Abhijit .
CLEVELAND CLINIC JOURNAL OF MEDICINE, 2020, 87 (01) :53-64
[5]   Assessment of Global Incidence and Mortality of Hospital-treated Sepsis [J].
Fleischmann, Carolin ;
Scherag, Andre ;
Adhikari, Neill K. J. ;
Hartog, Christiane S. ;
Tsaganos, Thomas ;
Schlattmann, Peter ;
Angus, Derek C. ;
Reinhart, Konrad .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2016, 193 (03) :259-272
[6]   Update of Sepsis in the Intensive Care Unit [J].
Genga, Kelly Roveran ;
Russell, James A. .
JOURNAL OF INNATE IMMUNITY, 2017, 9 (05) :441-455
[7]  
Gong XM, 2017, INT J CLIN EXP PATHO, V10, P10451
[8]   Non-coding RNAs and Exosomes: Their Role in the Pathogenesis of Sepsis [J].
Hashemian, Seyed MohammadReza ;
Pourhanifeh, Mohammad Hossein ;
Fadaei, Sara ;
Velayati, Ali Akbar ;
Mirzaei, Hamed ;
Hamblin, Michael R. .
MOLECULAR THERAPY-NUCLEIC ACIDS, 2020, 21 :51-74
[9]   The Pathogenesis of Sepsis and Potential Therapeutic Targets [J].
Huang, Min ;
Cai, Shaoli ;
Su, Jingqian .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2019, 20 (21)
[10]   Technological Developments in lncRNA Biology [J].
Jathar, Sonali ;
Kumar, Vikram ;
Srivastava, Juhi ;
Tripathi, Vidisha .
LONG NON CODING RNA BIOLOGY, 2017, 1008 :283-323