A Two-layer Model to Identify Hepatitis B Virus Related Chronic Hepatitis and Liver Cirrhosis Based on Plasma microRNA Biomarkers
文献类型：期刊论文
| 作者 | Hou, Ting1,5; Li, Yixue1,3,5; Wang, Zhen1; Jin, Wenjing2; Sun, Xiangying2; Chen, Yu2; Zhang, Weihong2; Liu, Chenglin3; Li, Ning4; Zhang, Yonghong4 |
| 刊名 | COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING
 |
| 出版日期 | 2017 |
| 卷号 | 20期号:2页码:123-132 |
| 关键词 | Two-layer model logistic regression HBV chronic hepatitis cirrhosis |
| ISSN号 | 1386-2073 |
| DOI | 10.2174/1386207319666161220120617 |
| 文献子类 | Article |
| 英文摘要 | Background: Accurate diagnosis of chronic Hepatitis B virus (HBV) infection related diseases is crucial to guide the therapy and to understand the mechanisms of disease progression. Plasma microRNAs, as stable biomarkers, have drawn significant attentions for distinguishing HBV-related diseases. Methods: In this study, a new HBV-related disease identification method based on a two-layer logistic regression model was presented. A total of nine effective plasma microRNA biomarkers were selected through sample collection, data processing, model selection, feature selection and model optimization to distinguish HBV-related chronic hepatitis and cirrhosis samples as well as healthy controls. The first layer utilized three microRNAs to distinguish HBV-related disease samples from healthy controls. Then the second layer divided the HBV-related disease samples into cirrhosis and chronic hepatitis samples by using eight microRNAs. Result: Test on two independent cohorts showed high accuracy and robustness of our model. Functional analysis of the selected microRNAs and their target genes confirmed that they were significantly associated with HBV-related diseases and related functional pathways. Conclusion: Compared with previous models, the two-layer model was more consistent with the underlying pathological progress of HBV related diseases from health to chronic hepatitis and further to liver cirrhosis. It could also take the results of other diagnostic tests into account, which could be useful in both physical examination and disease diagnosis. |
| 学科主题 | Biochemistry & Molecular Biology ; Chemistry ; Pharmacology & Pharmacy |
| WOS关键词 | HEPATOCELLULAR-CARCINOMA ; CANCER ; INFECTION ; DISEASE ; PATHOGENESIS ; FIBROSIS ; REVEALS ; GENES |
| 语种 | 英语 |
| WOS记录号 | WOS:000402823500005 |
| 出版者 | BENTHAM SCIENCE PUBL LTD |
| 版本 | 出版稿 |
| 源URL | [http://202.127.25.144/handle/331004/759]  |
| 专题 | 中国科学院上海生命科学研究院营养科学研究所 |
| 作者单位 | 1.Chinese Acad Sci, Shanghai Inst Biol Sci, CAS MPG Partner Inst Computat Biol, Key Lab Computat Biol, 320 Yueyang Rd, Shanghai 200031, Peoples R China; 2.Beijing QuantoBio Biotechnol Co Ltd, Beijing Econ Technol Dev Area, 1 Disheng East Rd, Beijing 100176, Peoples R China; 3.Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, 800 Dongchuan Rd, Shanghai 200240, Peoples R China; 4.Capital Med Univ, Beijing YouAn Hosp, 8 Xitoutiao, Beijing 100069, Peoples R China, 5.East China Univ Sci & Technol, Sch Biol Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Hou, Ting,Li, Yixue,Wang, Zhen,et al. A Two-layer Model to Identify Hepatitis B Virus Related Chronic Hepatitis and Liver Cirrhosis Based on Plasma microRNA Biomarkers[J]. COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING,2017,20(2):123-132. |
| APA | Hou, Ting.,Li, Yixue.,Wang, Zhen.,Jin, Wenjing.,Sun, Xiangying.,...&,.(2017).A Two-layer Model to Identify Hepatitis B Virus Related Chronic Hepatitis and Liver Cirrhosis Based on Plasma microRNA Biomarkers.COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING,20(2),123-132. |
| MLA | Hou, Ting,et al."A Two-layer Model to Identify Hepatitis B Virus Related Chronic Hepatitis and Liver Cirrhosis Based on Plasma microRNA Biomarkers".COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING 20.2(2017):123-132. |
入库方式： OAI收割
来源：上海营养与健康研究所
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