Deciphering Potential Correlations between New Biomarkers and Pattern Classification in Chinese Medicine by Bioinformatics: Two Examples of Rheumatoid Arthritis

Chi Zhang, Li Li, Ge ZHANG, Ke ji Chen, Aiping LYU*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Biological complexity and the need for personalized medicine means that biomarker development has become increasingly challenging. Thus, new paradigms for research need to be created that bring together a different classifier of individuals. One potential solution is collaboration between biomarker development and Chinese medicine pattern classification. In this article, two examples of rheumatoid arthritis are discussed, including a new biomarker candidate casein kinase 2 interacting protein 1 (CKIP-1) and a micro RNA 214. The authors obtained a “snapshot” of pattern classification with disease in biomarker identification. Bioinformatics analyses revealed underlying biological functions of two biomarker candidates, in varying degrees, are correlated with Chinese medicine pattern of rheumatoid arthritis. The authors’ initial attempt can provide a new window for studying the win-win potential correlation between the biomarkers and pattern classification in Chinese medicine.

Original languageEnglish
JournalChinese Journal of Integrative Medicine
DOIs
Publication statusAccepted/In press - 2018

Scopus Subject Areas

  • Complementary and alternative medicine
  • Pharmacology (medical)

User-Defined Keywords

  • biomarker
  • Chinese medicine pattern classification
  • rheumatoid arthritis

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