Lin Shenglong, Lin Minghua, Ma Huaxi, Wang Xiangmei, Zhang Dongqing, Wu Wenjun, Lin Jiahuang, Gao Haibing
Department of Severe Hepatopathy, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian 350002, P.R. China.
Department of Hepatology, Fuzhou Infectious Diseases Hospital, Fuzhou, Fujian 350002, P.R. China.
Exp Ther Med. 2021 Feb;21(2):120. doi: 10.3892/etm.2020.9552. Epub 2020 Dec 3.
Hepatitis B virus-related liver cirrhosis (HBV-LC) is susceptible to bacterial infections, which could lead to adverse prognosis in patients. MicroRNAs (miRs/miRNAs) are easily detected in peripheral blood and are involved in multiple liver diseases. The present pilot study aimed to investigate differentially expressed (DE) miRNAs in the serum of patients with HBV-LC and bacterial infection, and to identify potential biomarkers. The first batch of clinical samples was collected, including four patients with HBV-LC and infection, four patients with HBV-LC without infection, four patients with chronic hepatitis B (CHB) and four healthy controls. miRNA expression was analyzed by Affymetrix GeneChip miRNA 4.0 Array. A total of 385 DE miRNAs (upregulated, 160; downregulated, 225) were detected in patients with HBV-LC and infection compared with patients with HBV-LC without infection. miR-4793-3p was significantly upregulated in patients with HBV-LC and infection compared with its levels in the other three groups: HBV-LC without infection [log-transformed fold change (logFC)=7.96; P=0.0458), CHB (logFC=34.53; P=0.0003) and healthy controls (logFC=3.34; P=0.0219)]. Reverse transcription-quantitative PCR (RT-qPCR) was performed to validate miR-4793-3p expression in another batch of clinical samples. RT-qPCR showed that miR-4793-3p was highly expressed in patients with HBV-LC and infection compared with its levels in patients with HBV-LC without infection (P<0.05). The non-parametric random forest regression model was built to access the diagnostic value of miR-4793-3p, and the receiver operating characteristic curve demonstrated that the area under the curve was 92.2%. Target gene analysis with bioinformatics tools and Gene Expression Omnibus data (GSE46955) showed that miR-4793-3p could participate in the TGF-β signaling pathway. Functional experiments revealed that overexpressed miR-4793-3p could impair TGF-β function by downregulating Gremlin-1. The present pilot study suggests that miR-4793-3p could be a feasible indicator for bacterial infection in patients with HBV-LC, and it would be valuable for further research.
乙型肝炎病毒相关性肝硬化(HBV-LC)易发生细菌感染,这可能导致患者预后不良。微小RNA(miR/miRNAs)易于在外周血中检测到,并参与多种肝脏疾病。本初步研究旨在调查HBV-LC合并细菌感染患者血清中差异表达的(DE)miRNAs,并鉴定潜在的生物标志物。收集了第一批临床样本,包括4例HBV-LC合并感染患者、4例未感染的HBV-LC患者、4例慢性乙型肝炎(CHB)患者和4例健康对照。通过Affymetrix GeneChip miRNA 4.0阵列分析miRNA表达。与未感染的HBV-LC患者相比,在HBV-LC合并感染患者中总共检测到385个DE miRNAs(上调160个,下调225个)。与其他三组相比,miR-4793-3p在HBV-LC合并感染患者中显著上调:未感染的HBV-LC患者[对数转换倍数变化(logFC)=7.96;P=0.0458]、CHB患者(logFC=34.53;P=0.0003)和健康对照(logFC=3.34;P=0.0219)。进行逆转录定量PCR(RT-qPCR)以验证另一批临床样本中miR-4793-3p的表达。RT-qPCR显示,与未感染的HBV-LC患者相比,miR-4793-3p在HBV-LC合并感染患者中高表达(P<0.05)。构建非参数随机森林回归模型以评估miR-4793-3p的诊断价值,受试者工作特征曲线显示曲线下面积为92.2%。使用生物信息学工具和基因表达综合数据库数据(GSE46955)进行靶基因分析表明,miR-4793-3p可参与TGF-β信号通路。功能实验表明,过表达的miR-4793-3p可通过下调Gremlin-1损害TGF-β功能。本初步研究表明,miR-4793-3p可能是HBV-LC患者细菌感染的可行指标,对进一步研究具有重要价值。