TL;DR: Eight biased TCM constitutions were closely related to specific diseases, and could be used to guide individualized prevention and treatment and more rigorously designed studies are recommended to further verify the constitution-disease relationship.
Abstract: Objective To analyze clinical studies on correlations between Traditional Chinese Medicine (TCM) body constitution types and diseases published in the past 10 years, and to provide an evidence base to support the use of such correlations for health maintenance and disease prevention. Methods We searched five databases for the period April 2009 to December 2019: China National Knowledge Infrastructure Database, Wanfang Database, China Science and Technology Journal Database, PubMed and Embase. Three types of observational studies on correlation between constitution types and diseases were included: cross-sectional, case-control and cohort studies. Descriptive statistical methods were employed for data analysis. Results A total of 1639 clinical studies were identified: 1452 (88.59%) cross-sectional studies, 115 (7.02%) case-control studies and 72 (4.39%) cohort studies covering 30 regions of China and five other countries (Malaysia, South Korea, Singapore, Thailand and France). The collection of studies comprised 19 disease categories and 333 different diseases. The 10 most commonly studied diseases were hypertension, diabetes, stroke, coronary atherosclerotic heart disease (CAHD), sleep disorders, neoplasm of the breast, dysmenorrhea, fatty liver disease, chronic viral hepatitis B and dyslipidemia. We found high distributions for each biased constitution type in different patient populations as follows: Qi-deficiency constitution in stroke, diabetes, chronic obstructive pulmonary disease, acquired immunodeficiency syndrome and hypertension; Yang-deficiency constitution in female infertility, osteoporosis, irritable bowel syndrome, gonarthrosis and dysmenorrhea; Yin-deficiency constitution in hypertension, diabetes, constipation, female climacteric states and osteoporosis; phlegm- dampness constitution in hypertension, stroke, fatty liver disease, diabetes and metabolic syndrome; damp-heat constitution in acne, chronic gastritis, chronic viral hepatitis B, human papillomavirus infection and hyperuricemia; blood-stasis constitution in CAHD, endometriosis and stroke; Qi-stagnation constitution in hyperplasia and neoplasms of the breast, insomnia, depression and thyroid nodules; and inherited-special constitution in asthma and allergic rhinitis. Conclusion Eight biased TCM constitutions were closely related to specific diseases, and could be used to guide individualized prevention and treatment. More rigorously designed studies are recommended to further verify the constitution-disease relationship.
TL;DR: This study revealed significant negative correlations between the Qi_Deficient and Yang-Deficient groups with the outcomes of overweight, obesity, and underweight and positive correlations were found between Phlegm_Dampness and the outcome of overweight and obesity.
Abstract: Objective. The aim of the study was to investigate the associations among the nine types of body constitution in traditional Chinese medicine (TCM) with the outcomes of overweight, obesity, and underweight. Method. Participants aged 30 to 90 years were recruited from communities in Shanghai and assessed using a self-administered questionnaire pertaining to their demographics, lifestyles, and self-reported medical history. The data of 3748 participants with complete information was available for the analysis. Multinomial logistic regression (MLR) analysis was performed to determine the associations among the TCM constitution variables and the health outcomes. Results. The standards of classification and determination of the constitution in TCM were used to gauge the patients’ constitution type. MLR revealed independent and significant associations among the Qi_Deficient and Yang_Deficient groups with the outcomes of overweight, obesity, and underweight ( for all). MLR revealed independent and significant associations among the Qi_Deficient and Yang_Deficient groups with the outcomes of overweight, obesity, and underweight ( for all). Conclusion. Our study revealed significant negative correlations between the Qi_Deficient and Yang_Deficient groups with the outcomes of overweight, obesity, and underweight. On the other hand, positive correlations were found between Phlegm_Dampness and the outcomes of overweight and obesity.
TL;DR: The current authors systematically identified the biologic pathways and core-node genes associated with SC types from the GWA study; this information should provide insights regarding the molecular mechanisms inherent in constitutional pathophysiology.
Abstract: Objective: Sasang constitution (SC) medicine, a branch of Korean traditional medicine, classifies the individual into one of four constitutional types (Taeum, TE; Soeum, SE; Soyang, SY; and Taeyang, TY) based on physiologic characteristics. The authors of the current article recently reported individual genetic elements associated with SC types via genome-wide association (GWA) analysis. However, to understand the biologic mechanisms underlying constitution, a comprehensive approach that combines individual genetic effects was applied. Design: Genotypes of 1222 subjects of defined constitution types were measured for 341,998 genetic loci across the entire genome. The biologic pathways associated with SC types were identified via GWA analysis using three different algorithms—namely, the Z-static method, a restandardized gene set assay, and a gene set enrichment assay. Results: Distinct pathways were associated (p<0.05) with each constitution type. The TE type was significantly associated with cyto...
TL;DR: The experimental results show that transfer learning can achieve better results in small clinical dataset, and the final accuracy of constitution recognition is 66.79%.
Abstract: Constitution classification is the basis and core content of constitution research in Traditional Chinese medicine. The convolutional neural networks have successfully established many models for image classification, but it requires a lot of training data. In the field of Traditional Chinese medicine, the available clinical data is very limited. To solve this problem, we propose a method for constitution classification through transfer learning. Firstly, the DenseNet-169 model trained in ImageNet is applied. Secondly, we carefully modify the DenseNet-169 structure according to the constitution characteristics, and then the modified model is trained in the clinical data to obtain the constitution identification network called ConstitutionNet. In order to further improve the accuracy of classification, we integrate the ConstitutionNet with Vgg-16, Inception v3 and DenseNet-121 to test according to the integrated learning idea, and judge the input face image to its constitution type. The experimental results show that transfer learning can achieve better results in small clinical dataset, and the final accuracy of constitution recognition is 66.79%.
TL;DR: The graphical method developed to construct the forecasted upper dental arch shape allows forecasting the optimal shape and size of the artificial dental arch, achieving a balanced relationship between the shapes of the teeth and the alveolar arches, as well as constructing a balanced articulatory relationship while achieving optimal functional and aesthetic results.
Abstract: 87 persons of older age groups with complete adentia underwent somatometric (anthropometric) as well as biometric measurements with cast models of the toothless jaws. The linear and index somatometric parameters, and linear and index parameters for the upper jaw alveolar arches, were calculated. Alveolar arches were classified in view of the total sum of the diagonal dimensions (macro-, micro- and normodiagonal type), the arch index (brachy-, dolicho- and mesoarch type). Modelling the projected shape of the dental arch was based on the parameters of length (the sum of the alveolar arches diagonals multiplied by the 1.06 coefficient), width (the product of the width of the alveolar arches by a coefficient of 1.16). The depth of the dental arch frontal segment was calculated as the product of the diagonal by the incisor-canine angle sine, which in case of mesotrusion arches is 0.42 (angle value — 25°), for protrusion arches — 0.5 (angle value — 30°), for retrusion arches — 0.34 (angle value — 20°). Given the regularities of the circle geometry, the frontal segment dimensions served to determine the radius of the circle where the front teeth sat. The graphical method developed to construct the forecasted upper dental arch shape, based on the balance of the alveolar and dental arches major parameters, allows forecasting the optimal shape and size of the artificial dental arch, achieving a balanced relationship between the shapes of the teeth and the alveolar arches, as well as constructing a balanced articulatory relationship while achieving optimal functional and aesthetic results.