Proteomics Clustering Research of ITRAQ Markers in Plasma of AIDS Patients with Different Chinese Medicine Syndromes

Haiyan  Zhang; Quan  Qiu; Qingya  Li; Long  Feng; Dongyang Li; Miao  Zhang; Juan Wang; Suna  Ma; Liran  Xu

doi:10.18502/ijph.v53i2.14922

Haiyan Zhang Zhongjing Institute of Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou city, Henan Province, China
Quan Qiu Zhongjing Institute of Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou city, Henan Province, China
Qingya Li Zhongjing Institute of Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou city, Henan Province, China
Long Feng Department of Pathogenic Organism Biology, Henan University of Chinese Medicine, Zhengzhou city, Henan Province, China
Dongyang Li Zhongjing Institute of Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou city, Henan Province, China
Miao Zhang Zhongjing Institute of Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou city, Henan Province, China
Juan Wang Zhongjing Institute of Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou city, Henan Province, China
Suna Ma Zhongjing Institute of Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou city, Henan Province, China
Liran Xu Zhongjing Institute of Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou city, Henan Province, China

DOI: https://doi.org/10.18502/ijph.v53i2.14922

Keywords: Acquired immune deficiency syndrome; Proteomics; Chinese medicine

Abstract

Background: We aimed to distinguish the different Chinese medicine (CM) syndromes of acquired immune deficiency syndrome (AIDS) patients at the proteomics level.

Methods: We collected AIDS patients diagnosed with different CM syndromes from Weishi County, Kaifeng City, Henan Province, China, including Qi-deficiency syndrome (named QD group) and dampness-heat syndrome (named DH group). Healthy people were collected as controls from Weishi County, Kaifeng city, Henan Province, China. The plasma from three groups were labeled with ITRAQ, LC/MC was used for protein quantitative analysis. Finally, sequence search and cluster analysis were performed.

Results: Overall, 27 different proteins were found. Three proteins were up-regulated and 2 proteins down-regulated in the QD group, 11 proteins up-regulated and 13 proteins down-regulated in the DH group. Compared with DH group, there were 7 different proteins in QD group, among which 5 proteins were down-regulated and 2 proteins were up-regulated. When the target protein of DH group was up-regulated, the protein of HC group was down-regulated correspondingly.

Conclusion: The significance analysis and clustering of protein results showed that DH group was significantly different from QD group and HC group at the protein level (P<0.05). However, the QD group could not be effectively distinguished from the HC group. AAT, PF4, C-reactive protein and c4bp may be used as potential biomarkers in DH group. Mass spectrometry based on feature selection can be used to classify different CM syndromes.