Literature DB >> 20621019

Polymorphisms in PPARD, PPARG and APM1 associated with four types of traditional Chinese medicine constitutions.

Yanrui Wu1, Yina Cun, Jing Dong, Jingru Shao, Shengjun Luo, Shengjie Nie, Haijing Yu, Bingrong Zheng, Qi Wang, Chunjie Xiao.   

Abstract

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. Copyright 2010 Institute of Genetics and Developmental Biology and the Genetics Society of China. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20621019     DOI: 10.1016/S1673-8527(09)60055-2

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  15 in total

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