Polymorphisms in PPARD, PPARG and APM1 associated with four types of Traditional Chinese Medicine constitutions

Autor: Bingrong Zheng, Jingru Shao, Yina Cun, Shengjie Nie, Haijing Yu, Qi Wang, Jing Dong, Chunjie Xiao, Yanrui Wu, Shengjun Luo
Rok vydání: 2010
Předmět:
Zdroj: Journal of Genetics and Genomics. 37:371-379
ISSN: 1673-8527
Popis: Based on the theory of constitution of Traditional Chinese Medicine (TCM), the human population is divided into nine constitutions including one balanced constitution (Normality) and eight unbalanced constitutions (Yang-deficiency, Yin-deficiency, Phlegm-wetness, Qi-deficiency, Wetness-heat, Blood stasis, Depressed constitution, and Inherited special constitution). Different constitutions have specific metabolic features and different susceptibility to certain diseases. However, whether a genetic basis accounts for such constitution classification is yet to be determined. Here we performed a genetic study to assess the association between genetic variations of metabolic genes including PPARD, PPARG and APM1 and the constitutions. A total of 233 individuals of the Han population in China were classified into four groups, Normality, Yang-deficiency, Yin-deficiency and Phlegm-wetness with whom 23 single nucleotide polymorphisms (SNPs) in the three genes were genotyped using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Biased distribution of PPARD rs2267669 and rs2076167, APM1 rs7627128 and rs1063539 in Yang-deficiency, PPARG Pro12Ala in Yin-deficiency and PPARD rs2076167, APM1 rs266729 and rs7627128 in Phlegm-wetness were observed. The frequencies of Haplotype13 (Hap13) of PPARG in Yin-deficiency, Hap25 of APM1 in Yang-deficiency and Hap2 of PPARD and Hap14 of PPARG in Phlegm-wetness, were significantly different from those in Normality, suggesting those might be group-associated haplotypes. These results suggested that single SNP and haplotypes of PPARD, PPARG and APM1 may underlie the genetic basis of the constitutions classified in TCM.
Databáze: OpenAIRE