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Integrating clinical indexes into four-diagnostic information contributes to the Traditional Chinese Medicine (TCM) syndrome diagnosis of chronic hepatitis B.
Kang, Hong; Zhao, Yu; Li, Chao; Chen, Yujia; Tang, Kailin; Yang, Linlin; Ma, Chao; Peng, Jinghua; Zhu, Ruixin; Liu, Qi; Hu, Yiyang; Cao, Zhiwei.
Affiliation
  • Kang H; 1] School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R.China [2] School of Biomedical Informatics, University of Texas Health Science Center, Houston. TX 77030, USA.
  • Zhao Y; Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, P.R.China.
  • Li C; School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R.China.
  • Chen Y; School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R.China.
  • Tang K; School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R.China.
  • Yang L; School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R.China.
  • Ma C; Key Lab of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P.R.China.
  • Peng J; Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, P.R.China.
  • Zhu R; School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R.China.
  • Liu Q; School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R.China.
  • Hu Y; 1] Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, P.R.China [2] E-Institute of TCM Internal Medicine, Shanghai Municipal Education Commission, Shanghai 200003, P.R.China.
  • Cao Z; 1] School of Life Sciences and Technology, Tongji University, Shanghai 200092, P.R.China [2] Key Lab of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P.R.China.
Sci Rep ; 5: 9395, 2015 Mar 23.
Article in En | MEDLINE | ID: mdl-25797918
ABSTRACT
Traditional Chinese Medicine (TCM) treatment has been commonly used to treat Chronic Hepatitis B (CHB) in Asian countries based on TCM syndrome diagnosis, also called "ZHENG". The syndrome is identified through the four-diagnostic methods, with certain degree of subjectivity and ambiguity from individual doctors. Normally those CHB patients also receive series of parameters from modern clinical examination, while they are routinely believed to be unrelated with the TCM syndrome diagnosis. In this study, we investigated whether these biomedical indexes in modern medicine could be beneficial to TCM syndrome diagnostics in an integrative way. Based on 634 patient samples from health controls and three subtypes of CHB syndromes, a two-view based hierarchical classification model was tested for TCM syndromes prediction based on totally 222 parameters integrated from both TCM practice and modern clinical tests. The results indicated that the performance of syndrome classification based on a proper integration of TCM and modern clinical indexes was significantly higher than those based on one view of parameters only. Furthermore, those indexes correlated with CHB syndrome diagnosis were successfully identified for CM indexes and biochemical indexes respectively, where potential associations between them were hinted to the MAPK signaling pathway.
Subject(s)

Full text: 1 Database: MEDLINE Traditional Medicines: Medicinas_tradicionales_de_asia / Medicina_china Main subject: Hepatitis B virus / Models, Statistical / Hepatitis B, Chronic / Symptom Assessment / Medicine, Chinese Traditional Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Rep Year: 2015 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Traditional Medicines: Medicinas_tradicionales_de_asia / Medicina_china Main subject: Hepatitis B virus / Models, Statistical / Hepatitis B, Chronic / Symptom Assessment / Medicine, Chinese Traditional Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Rep Year: 2015 Type: Article Affiliation country: United States