TY - JOUR
T1 - Deciphering Potential Correlations between New Biomarkers and Pattern Classification in Chinese Medicine by Bioinformatics
T2 - Two Examples of Rheumatoid Arthritis
AU - Zhang, Chi
AU - Li, Li
AU - Zhang, Ge
AU - Chen, Ke ji
AU - Lyu, Aiping
N1 - Funding Information:
©The Chinese Journal of Integrated Traditional and Western Medicine Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Supported by the National Natural Science Foundation of China (No. 81503449, 81673773) 1. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing (100700), China; 2. Institute for Advancing Translational Medicine in Bone and Joint Diseases, Hong Kong Baptist University, Hong Kong SAR, China; 3. Cardiovascular Disease Centre, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing (100091), China Correspondence to: Prof. LU Ai-ping, E-mail: aipinglu@hkbu. edu.hk DOI: https://doi.org/10.1007/s11655-018-2571-8
Publisher Copyright:
© 2018, The Chinese Journal of Integrated Traditional and Western Medicine Press and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
KW - biomarker
KW - Chinese medicine pattern classification
KW - rheumatoid arthritis
UR - http://www.scopus.com/inward/record.url?scp=85055682993&partnerID=8YFLogxK
U2 - 10.1007/s11655-018-2571-8
DO - 10.1007/s11655-018-2571-8
M3 - Journal article
AN - SCOPUS:85055682993
SN - 1672-0415
VL - 27
SP - 465
EP - 469
JO - Chinese Journal of Integrative Medicine
JF - Chinese Journal of Integrative Medicine
IS - 6
ER -