| Literature DB >> 28664047 |
Duong Duc Pham1,2, Seongwon Cha1, Jong Yeol Kim1.
Abstract
There has been a rapid increase in tailored medicine that emphasizes the complex inter-individual interactions, and this increase has paralleled recent significant achievements in genomics and Systems Biology. However, attempts to create a virtual human have been limited to low-levels of organization, such as gene-protein networks, due to the lack of systematic concepts at the higher levels of organisms (organ, individual, and environment). Constitutional perspective of various forms of traditional Asian medicine through the ancient, middle, and modern eras, particularly the holistic approach of Sasang constitutional medicine (SCM), may provide a novel framework for creating tailored medicine. This article aims to review the theoretical development of traditional Chinese medicine and the initiation of SCM in addition to summarizing current evidence on the genetic basis, bio-physiological features, and risk of disease of different SCM phenotypes. We also suggest that the patho-physiological principle and scientific evidence underlying SCM, particularly for the TaeEum type, can be effective in dealing with obesity-linked disease, which is a predominant disease in today's society.Entities:
Keywords: Sasang constitutional medicine; constitutional perspective; traditional Asian medicine
Year: 2013 PMID: 28664047 PMCID: PMC5481680 DOI: 10.1016/j.imr.2013.01.001
Source DB: PubMed Journal: Integr Med Res ISSN: 2213-4220
Scientific evidence of the traits of SCM types.
| Reference | Publication year | Subjects | Constitution determining | Phenotype (genotype) | Results |
|---|---|---|---|---|---|
| Lee et al. | 2007 | Twin 731 pair All: 1462; TE: 373; SY: 434; SE: 655 | QSCC II | Sasang constitution | Genetic influence (Totally 52%; TE: 48%; SY: 43%; SE: 47%) |
| Lee et al. | 2009 | 101 pedigrees All: 593; TE: 202; SY: 147; SE: 117 | SCM professional | Sasang constitution | Heritability (TE: 55%; SY: 41%; SE: 47%) |
| Won et al. | 2009 | A large family All: 40; TE: 26; SY: 2; SE: 8; unknown 4 | SCM professional | Sasang constitution | Constitution-associated genetic loci (8q11.22-33, 11q22.1-3) |
| Kim et al. | 2012 | All: 1222; TE: 512; SY: 389; SE: 302 | SCM professional | Sasang constitution | Constitution-associated genes (TE: |
| Kim et al. | 2012 | All: 1222; TE: 512; SY: 389; SE: 302 | SCM professional | Sasang constitution | Constitution-associated pathways and hub genes |
| Pham et al. | 2011 | All: 911; TE: 366; SY: 332; SE: 323 | Two SCM professionals | BMI and facial feature | TE: squarer face (men: longer eyes; women: longer jaw), BMI and facial metrics as good predictors |
| Pham et al. | 2012 | All: 57; TE: 17; SY: 17; SE: 17 | SCM professional | BMI, resting metabolic rate, cardiorespiratory fitness, and insulin sensitivity | TE and SE: association of BMI with health risk (cardiorespiratory fitness and insulin sensitivity); SY: association of BMI with increase in resting metabolic rate |
| Lee et al. | 2012 | Healthy and BMI, 18.5-23 kg/m2 TE: 9; SY: 9; SE: 10 | Two SCM professionals | Gut hormone | PYY concentration: significant differences among three SCM types and higher in SE at post-prandial |
| Chae et al. | 2012 | All: 245; TE: 60; SY: 63; SE: 102; unknown: 20 | QSCC II | SPQ: behavior, emotionality, cognition | SPQ: different between SCM types; correlation with novelty seeking, harm avoidance, and extraversion |
| Park et al. | 2011 | All: 98; TE: 41; SY: 31; SE: 25; TY: 1 | Three SCM professionals | Temperament and character inventory | in temperament dimension, novelty seeking: SY > SE; harm avoidance: SY < SE |
| Song et al. | 2012 | All: 1.617; TE: 666; SY: 546; SE: 405 | SCM professional | Metabolic syndrome | Odds ratio of prevalence (TE: 4.52; SY: 2.00; SE: 1.00) |
| Lee et al. | 2009 | All: 1443; TE: 677; SY: 418; SE: 348 | QSCC II and SCM professional | Diabetes mellitus | Odds ratio of prevalence (TE: 3.96; SY: 2.01; SE: 1.00) |
| Lee et al. | 2011 | All: 1701; TE: 850; SY: 542; SE: 309 | QSCC II and SCM professional | Hypertension | Odds ratio (TE: 1.37; non-TE: 1.00) |
| Choi et al. | 2011 | All: 1535; TE: 755; SY: 480; SE: 300 | QSCC II and SCM professional | Insulin resistance | Odds ratio of prevalence (TE: 1.43–1.49; non-TE: 1.00) |
| Cha et al. | 2011 | All: 1218; TE: 826; SY: 215; SE: 177 | QSCC II or SCM professional | BMI ( | Enriched association signals of minor allele only in TE type |
| Song et al. | 2012 | All: 1619; TE: 668; SY: 546; SE: 405 | SCM professional | HDL-cholesterol and triglyceride ( | in TE and SY types: C carriers associated with increases in HDL-cholesterol and triglyceride |
| Song et al. | 2008 | Women: 182; TE: 165; SY: 3; SE: 7 | QSCC II | Obesity ( | Odds ratio of T carriers in TE: BMI<25 kg/m2: 1.0; BMI 27-29 kg/m2: 0.14 |
| Lee et al. | 2008 | Women: 181; TE: 165; SY: 3; SE: 7 | QSCC II | Obesity ( | Odds ratio of T carriers in TE: BMI<25 kg/m2: 1.0; BMI 25-29 kg/m2: 0.15 |
| Um et al. | 2006 | Women: 261; TE: 224; SE and SY: 17 | QSCC II | Obesity ( | Marginal association of allele 2 carriers in TE |
| Lee et al. | 2007 | TE: 128; SY: 87; SE: 47 | QSCC II and SCM professional | Ischemic stroke ( | Odds ratio of Pro/Ala: 15-fold increase in TE |