Discovering clinical biomarkers of chronic hepatitis B by mining mutation hotspots

Chun Pei Cheng, Pei Fen Lee, Chu Yu Chin, Wen Chun Liu, I. Chin Wu, Ting Tsung Chang, Vincent S. Tseng

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Hepatitis B virus (HBV) is the most common DNA virus that may cause hepatitis, cirrhosis and hepatocellular carcinoma. Although many people are persistently infected with HBV, the serum viral load and host immune response varies from person to person. Because the high rate of mutations in HBV protein sequences will alter the protein expressions and even their functions, in this paper, we explore to discover clinical biomarkers of chronic hepatitis B by mining mutation hotspots. A one year follow-up study was conducted with a total number of 1,694 clones from 23 patients with HBeAg-positive chronic hepatitis B. Serum alanine aminotransferase, HBV DNA and HBeAg levels were monthly measured and used as the criteria for clustering the patients into different subgroups. Using monthly derived HBV precore/core protein sequences, we analyzed amino acid mutations responsible for serologic and clinical outcome of each patient subgroup. Using an integration of covariance network and point mutation rule methods, we identified several representative covariance networks of each patient subgroup. Validation with literature-curated mutation hotspots showed that the identified mutations were strongly associated with the viral loads, presence of HBeAg-seroconversion in sera, HBV genotypes and amino acid properties. We further used these identified networks containing mutation hotspots to develop a feature tree, which is applicable for clinicians to prescribe patients a suitable treatment at early stage of HBV infection even though the patients exhibit no obvious symptoms.

原文English
主出版物標題Proceedings - 2011 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011
頁面51-56
頁數6
DOIs
出版狀態Published - 2011 十二月 1
事件16th Annual Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011 - Chung-Li, Taiwan
持續時間: 2011 十一月 112011 十一月 13

出版系列

名字Proceedings - 2011 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011

Other

Other16th Annual Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011
國家Taiwan
城市Chung-Li
期間11-11-1111-11-13

    指紋

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications

引用此

Cheng, C. P., Lee, P. F., Chin, C. Y., Liu, W. C., Wu, I. C., Chang, T. T., & Tseng, V. S. (2011). Discovering clinical biomarkers of chronic hepatitis B by mining mutation hotspots. 於 Proceedings - 2011 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011 (頁 51-56). [6120719] (Proceedings - 2011 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011). https://doi.org/10.1109/TAAI.2011.17