|
|
The expression and clinical significance of miR-30a and related |
何爱凤1,秦晓梦2,尹江宁3,蒋俊4,徐美玲5 |
(1. School of Medicine, Jiangsu University, Zhenjiang Jiangsu 212013; 2. Department of Emergency, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai 200000; 3. Department of Emergency, Jiangning Hospital Affiliated to Nanjing Medical University, Nanjing Jiangsu 211199; 4. School of Pharmacy, Jiangsu University, Zhenjiang Jiangsu 212013; 5. Community Health Service Center, Jiankang Road, Jingkou District, Zhenjiang City, Zhenjiang Jiangsu 212001, China)
|
|
|
Guide |
|
Abstract [Abstract]Objective: To investigate the expression of miR-30a and related inflammatory indicators in sepsis and analyze its clinical significance based on bioinformatics. Methods: The gene chips were searched and screened by GEO database and their expression was analyzed. The target genes were predicted by the prediction software of miR-30a website database and KEGG pathway enrichment analysis was performed. A total of 64 sepsis patients admitted to Affiliated Hospital of Jiangsu University from January 2019 to January 2021 were collected and divided into non-shock group (n=32) and shock group (n=32) according to their severity. According to the outcome of 28 d, the sepsis patients were divided into survival group (n=44) and death group (n=20). Ten healthy subjects were selected as control group. The levels of white blood cells, C-reactive protein, procalcitonin and interleukin-6 in each group were detected, and sequential organ failure score (SOFA) were calculated. The expression of miR-30a in peripheral blood was detected by RT-PCR, and the correlation between miR30a and SOFA score was analyzed. ROC curve was used to evaluate the diagnostic value of miR-30a in sepsis. Results: GEO database retrieval showed that miR30a expression in sepsis group was higher than that in control group (P<0.05). Compared with the control group, miR-30a, white blood cells, C-reactive protein, procalcitonin, interleukin-6 and SOFA scores were increased in the sepsis group(P<0.05 or <0.01). The white blood cells and SOFA scores in the shock group were higher than those in the nonshock group (P<0.05). Compared with sepsis survival group, SOFA score was higher in death group(P<0.05). Spearman correlation analysis showed that the relative expression of miR30a was positively correlated with SOFA score of sepsis (r=0.751, P<0.01) and the expressions of interleukin-6, C-reactive protein and procalcitonin (r=0.667, 0.736, 0.496, P<0.01). ROC curve evaluation results showed that the area under the curve of miR-30a was 0.831(P<0.01), the sensitivity was 89.1%, and the specificity was 80.0%; the area under the curve of C-reactive protein was 0.841(P<0.01), the sensitivity was 79.7%, the specificity was 90.0%. The area under the curve of miR30a+C-reactive protein was 0.902(P<0.01), the sensitivity was 89.1%, and the specificity was 90.0%. Conclusion: miR30a and related inflammatory markers are highly expressed in sepsis, which may be potential markers for the diagnosis of sepsis.
|
Received: 21 December 2021
|
Fund: |
|
|
|
[1]Singer M, Deutschman CS, Seymour CW, et al. The third international consensus definitions for sepsis and septic shock (sepsis3)[J]. JAMA, 2016, 315(8): 801-810.
[2]Rhodes A, Evans LE, Alhazzani W, et al. Survivingsepsis campaign: international guidelines for management of sepsis and septic shock: 2016[J]. Intersive Care Med, 2017, 43(3): 304-377.
[3]江文杰. IL27在脓毒症的早期诊断、病情严重程度的判断和预测预后中的作用[D].镇江: 江苏大学, 2016.
[4]李坤,张光满. IL6 PCT WBC与CRP水平对儿童呼吸道感染并发脓毒血症的预测价值[J].安徽医学, 2021, 42(8): 908-911.
[5]秦晓梦,任国庆. miRNA作为脓毒症及其并发症生物标志物的研究进展[J].医学综述, 2021(19): 3796-3801
[6]Li P, Yao Y, Ma Y, et al. MiR30a5p ameliorates LPSinduced inflammatory injury in human A549 cells and mice via targeting RUNX2[J]. Innate Immun, 2021, 27(1): 41-49.
[7]Levy MM, Evans LE, Rhodes A. The surviving sepsis campaign bundle: 2018 update. [J]. Intensive Care Med, 2018, 44(6): 925-928.
[8]Farahat NMG, Elkaffash DMNED, Alghandour AH, et al. Study of microRNA profile as a molecular biomarker in egyptian chronic lymphocytic leukemia[J].Indian J Hematol Blood Transfus, 2019, 35(1): 89-99.
[9]Hammond SM. An overview of microRNAs[J]. Adv Drug Deliv Rev, 2015, 87: 3-14.
[10]Zhang TN, Li D, Xia J, et al. Noncoding RNA: apotential biomarker and therapeutic target for sepsis [J]. Oncotarget, 2017, 8: 91765-91778.
[11]Li R, Fang L, Pu Q, et al. MEG34 is a miRNA decoy that regulates IL1β abundance to initiate and then limit inflammation to prevent sepsis during lung infection[J].Sci Signal, 2018, 11(536): eaao2387.
[12]张娟, 陈家斌, 陈龙,等. miR30c23p靶向MPO介导高糖诱导的肾小球系膜细胞凋亡及炎性反应[J].河北医药, 2020, 42(16): 2419-2423.
[13]Fu X, Shen Y, Wang W, et al. MiR30a5p ameliorates spinal cord injuryinduced inflammatory responses and oxidative stress by targeting Neurod 1 through MAPK/ERK signalling[J]. Clin Exp Pharmacol Physiol, 2018, 45(1): 68-74.
[14]Wang Y, Li T, Wu B, et al. STAT1 regulates MD2 expression in monocytes of sepsis via miR30a[J]. Inflammation, 2014, 37(6): 1903-1911.
|
[1] |
LIANG Pengchen1,ZHOU Ziyan2,3, CHANG Qing2, YI Qingqing2, SUN Miaomiao2,3, TANG Yeling2,3, CAO Liou4,5, YANG Jie6. Screening of potential therapeutic compounds for osteoporosis based on L1000 database [J]. Journal of Jiangsu University(Medicine Edition), 2022, 22(1): 1-7,12. |
|
|
|
|