BACKGROUND: Hepatitis C virus (HCV) infection process of progression encompasses multiple stages, commencing with inflammation and culminating in hepatocellular cancer. Numerous invasive and non-invasive procedures exist for diagnosing chronic HCV infection. Though beneficial, invasive procedures can cause morbidity and inadequate representation of the overall degree of fibrosis. Due to these reasons, non-invasive liver fibrosis biomarkers are becoming more prevalent to diagnose and track liver fibrosis without a liver biopsy. These biomarkers can detect liver fibrosis early, improving treatment and preventing cirrhosis and liver failure. Micro ribonucleic acid (MiRNA) dysregulation causes and worsens several diseases including liver disease. MiRNAs can facilitate the diagnosis of liver fibrosis and serve as a predictive tool to enhance patient care by minimizing invasive procedures and enabling more efficient and prompt therapy. AIM: To investigate the diagnostic effectiveness of several miRNAs (miRNA-122, miRNA-21, miRNA-199a, miRNA-155) in assessing the liver fibrosis severity in untreated HCV patients from the Indian Punjab population. We seek to identify the intricate diagnostic relationship of miRNAs with the extent of fibrosis among individuals with HCV. METHODS: We considered 100 persons determined as HCV infected by a quantitative Real-Time Polymerase Chain Reaction examination. We employed statistical as well as probabilistic tools to ascertain the diagnostic validity of miRNAs for determining the liver fibrosis stages. We employed Bayesian Networks, to introduce a unique diagnostic paradigm for miRNAs that can be adopted as benchmark to evaluate the liver fibrosis severity in HCV cases. RESULTS: We found that miRNAs (miR-122, miR-155 and miR-21) showed significant upregulation when compared with control and according to severity of fibrosis (P ⤠0.05). The area under the curve for miR-122, miR-155, miR-21 and miR-199a in HCV group in relation to Liver Stiffness Measurement was calculated as 0.889, 0.933, 0.912 and 0.035 respectively. MiR-199a was downregulated according to degree of fibrosis. CONCLUSION: Depending on the diagnostic accuracy, we have concluded that miR-122, miR-155 and miR-21 are reliable markers to detect fibrosis in Hepatitis C patients.
Micro RNAs as a potential biomarker for predicting liver fibrosis severity in hepatitis C virus affected patients.
微小RNA作为预测丙型肝炎病毒感染患者肝纤维化严重程度的潜在生物标志物
阅读:17
作者:Kaur Navneet, Garg Ravinder, Tapasvi Chaitanya, Goyal Gitanjali
| 期刊: | World J Virol | 影响因子: | 0.000 |
| 时间: | 2025 | 起止号: | 2025 Jun 25; 14(2):101976 |
| doi: | 10.5501/wjv.v14.i2.101976 | 研究方向: | 炎症/感染 |
| 疾病类型: | 肝炎 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
