Traditional Chinese Medicine for Metabolic Syndrome via TCM Pattern Differentiation: Tongue Diagnosis for Predictor

Tsung-Chieh Lee, Lun-Chien Lo, Fang-Chen Wu, Tsung-Chieh Lee, Lun-Chien Lo, Fang-Chen Wu

Abstract

Metabolic syndrome is a morbid condition, which is manifested by central obesity, abnormal glucose tolerance, lipodystrophy, and hypertension. Traditional Chinese medicine (TCM) clarifies that obesity is classified as phlegm-dampness. It is often accompanied with qi stagnation and blood stasis. One hundred and two overweight adults, who did not receive lipid-lowering drugs, were enrolled for analysis. The exclusion criteria were adults having malignancy disease, DM, and renal disease or who were pregnant or lactating. The study was divided into two groups: metabolic syndrome group (MetS) and nonmetabolic syndrome group (nMetS). The modern tongue analysis and heart rate variability devices for data analysis and Council on Nutrition Appetite Questionnaire (CNAQ) for appetite evaluation were used. Obesity patients with metabolic syndrome obviously have lower CNAQ score. The 6 items of CNAQ between two groups have significant difference in variation (P < 0.001). The nMetS average was above 28 scores (96%) and the MetS was all in 17-28 scores. The tongue appearance showed that MetS group have white coating different from the nMetS group with white and yellow coating (P < 0.05). However the HRV is not different from nMetS group significantly. Our results try to explore the relationship between the TCM pattern, nutrition appetite, and heart rate variability in metabolic syndrome patients.

Figures

Figure 1
Figure 1
Illustration of tongue image capturing with the ATDS.
Figure 2
Figure 2
Samples of tongue coating images. Tongue coating: a layer of moss-like material covering the tongue. Thin white coating: a tongue coating through which the underlying tongue surface is faintly visible. White coating: tongue coating white in color. Yellow coating: tongue coating yellow in color.
Figure 3
Figure 3
Flow diagram of recruitment of subjects.

References

    1. Inal S., Canbulat N., Bozkurt G. The effects of healthy lifestyle behaviors of mothers on obesity in preschool children. Journal of the Pakistan Medical Association. 2015;65(10):1079–1084.
    1. Rangaraj V. R., Knutson K. L. Association between sleep deficiency and cardiometabolic disease: implications for health disparities. Sleep Medicine. 2016;18:19–35. doi: 10.1016/j.sleep.2015.02.535.
    1. Park S., Park H.-L., Lee S.-Y., Nam J.-H. Characteristics of adipose tissue macrophages and macrophage-derived insulin-like growth factor-1 in virus-induced obesity. International Journal of Obesity. 2016;40:460–470. doi: 10.1038/ijo.2015.194.
    1. Mason K., Page L., Balikcioglu P. G. Screening for hormonal, monogenic, and syndromic disorders in obese infants and children. Pediatric Annals. 2014;43(9):e218–e224. doi: 10.3928/00904481-20140825-08.
    1. Zegers D., Hendrickx R., Verrijken A., et al. Screening for genetic variants in BDNF that contribute to childhood obesity. Pediatric Obesity. 2014;9(1):36–42. doi: 10.1111/j.2047-6310.2012.00131.x.
    1. Chesi A., Grant S. F. A. The genetics of pediatric obesity. Trends in Endocrinology & Metabolism. 2015;26(12):711–721. doi: 10.1016/j.tem.2015.08.008.
    1. Kirkley A. G., Sargis R. M. Environmental endocrine disruption of energy metabolism and cardiovascular risk. Current Diabetes Reports. 2014;14, article 494 doi: 10.1007/s11892-014-0494-0.
    1. Lizcano F., Guzmán G. Estrogen deficiency and the origin of obesity during menopause. BioMed Research International. 2014;2014:11. doi: 10.1155/2014/757461.757461
    1. Numasawa Y., Kohsaka S., Miyata H., et al. Impact of body mass index on in-hospital complications in patients undergoing percutaneous coronary intervention in a Japanese real-world multicenter registry. PLoS ONE. 2015;10(4) doi: 10.1371/journal.pone.0124399.e0124399
    1. Ridderstråle M., Gudbjörnsdottir S., Eliasson B., Nilsson P. M., Cederholm J. Obesity and cardiovascular risk factors in type 2 diabetes: results from the Swedish National Diabetes Register. Journal of Internal Medicine. 2006;259(3):314–322. doi: 10.1111/j.1365-2796.2006.01617.x.
    1. De Nunzio C., Truscelli G., Trucchi A., et al. Metabolic abnormalities linked to an increased cardiovascular risk are associated with high-grade prostate cancer: a single biopsy cohort analysis. Prostate Cancer and Prostatic Diseases. 2016;19:35–39. doi: 10.1038/pcan.2015.45.
    1. Zimmet P., Alberti G. K. M. M., Kaufman F., et al. The metabolic syndrome in children and adolescents-an IDF consensus report. Pediatric Diabetes. 2007;8(5):299–306. doi: 10.1111/j.1399-5448.2007.00271.x.
    1. Carnethon M. R., Golden S. H., Folsom A. R., Haskell W., Liao D. Prospective investigation of autonomic nervous system function and the development of type 2 diabetes: the atherosclerosis risk in communities study, 1987–1998. Circulation. 2003;107(17):2190–2195. doi: 10.1161/01.cir.0000066324.74807.95.
    1. Anastasi J. K., Currie L. M., Kim G. H. Understanding diagnostic reasoning in TCM practice: tongue diagnosis. Alternative Therapies in Health and Medicine. 2009;15(3):18–28.
    1. Wilson M.-M., Thomas D. R., Rubenstein L. Z., et al. Appetite assessment: simple appetite questionnaire predicts weight loss in community-dwelling adults and nursing home residents. American Journal of Clinical Nutrition. 2005;82(5):1074–1081.
    1. Halliday V., Porock D., Arthur A., Manderson C., Wilcock A. Development and testing of a cancer appetite and symptom questionnaire. Journal of Human Nutrition and Dietetics. 2012;25(3):217–224. doi: 10.1111/j.1365-277X.2012.01233.x.
    1. Lo L.-C., Chen Y.-F., Chen W.-J., Cheng T.-L., Chiang J. Y. The study on the agreement between automatic tongue diagnosis system and traditional chinese medicine practitioners. Evidence-Based Complementary and Alternative Medicine. 2012;2012:9. doi: 10.1155/2012/505063.505063
    1. Liang W. C., Yuan J., Sun D. C., Lin M. H. Changes in physiological parameters induced by indoor simulated driving: effect of lower body exercise at mid-term break. Sensors. 2009;9(9):6913–6933. doi: 10.3390/s90906913.
    1. Altieri P., Cavazza C., Pasqui F., Morselli A. M., Gambineri A., Pasquali R. Dietary habits and their relationship with hormones and metabolism in overweight and obese women with polycystic ovary syndrome. Clinical Endocrinology. 2013;78(1):52–59. doi: 10.1111/j.1365-2265.2012.04355.x.
    1. Fildes A., Mallan K. M., Cooke L., et al. The relationship between appetite and food preferences in British and Australian children. International Journal of Behavioral Nutrition and Physical Activity. 2015;12(1, article 116) doi: 10.1186/s12966-015-0275-4.
    1. Xu X., Hall J., Byles J., Shi Z. Dietary pattern is associated with obesity in older people in China: data from China health and nutrition survey (CHNS) Nutrients. 2015;7(9):8170–8188. doi: 10.3390/nu7095386.
    1. Sun J., Buys N., Shen S. Dietary patterns and cardiovascular disease-related risks in Chinese older adults. Frontiers in Public Health. 2013;1, article 48 doi: 10.3389/fpubh.2013.00048.
    1. Bae J., Kim J., Choue R., Lim H. Fennel (foeniculum vulgare) and fenugreek (trigonella foenum-graecum) tea drinking suppresses subjective short-term appetite in overweight women. Clinical Nutrition Research. 2015;4(3):168–174. doi: 10.7762/cnr.2015.4.3.168.
    1. Kaufman C. L., Kaiser D. R., Steinberger J., Kelly A. S., Dengel D. R. Relationships of cardiac autonomic function with metabolic abnormalities in childhood obesity. Obesity. 2007;15(5):1164–1171. doi: 10.1038/oby.2007.619.
    1. da Silva D. F., Bianchini J. A. A., Antonini V. D. S., et al. Parasympathetic cardiac activity is associated with cardiorespiratory fitness in overweight and obese adolescents. Pediatric Cardiology. 2014;35(4):684–690. doi: 10.1007/s00246-013-0838-6.
    1. Lambert G. W., Straznicky N. E., Lambert E. A., Dixon J. B., Schlaich M. P. Sympathetic nervous activation in obesity and the metabolic syndrome—causes, consequences and therapeutic implications. Pharmacology and Therapeutics. 2010;126(2):159–172. doi: 10.1016/j.pharmthera.2010.02.002.
    1. Altuncu M. E., Baspinar O., Keskin M. The use of short-term analysis of heart rate variability to assess autonomic function in obese children and its relationship with metabolic syndrome. Cardiology Journal. 2012;19(5):501–506. doi: 10.5603/CJ.2012.0091.
    1. Jiang B., Liang X., Chen Y., et al. Integrating next-generation sequencing and traditional tongue diagnosis to determine tongue coating microbiome. Scientific Reports. 2012;2, article 936 doi: 10.1038/srep00936.
    1. Allott E. H., Hursting S. D. Obesity and cancer: mechanistic insights from transdisciplinary studies. Endocrine-Related Cancer. 2015;22(6):R365–R386. doi: 10.1530/erc-15-0400.
    1. Chomistek A. K., Shiroma E. J., Lee I. M. The relationship between time of day of physical activity and obesity in older women. Journal of Physical Activity and Health. 2016;13(4):416–418. doi: 10.1123/jpah.2015-0152.
    1. Wu T., Guo A., Shu Q., et al. L-Carnitine intake prevents irregular feeding-induced obesity and lipid metabolism disorder. Gene. 2015;554(2):148–154. doi: 10.1016/j.gene.2014.10.040.
    1. Kim K.-H., Park Y. Food components with anti-obesity effect. Annual Review of Food Science and Technology. 2011;2:237–257. doi: 10.1146/annurev-food-022510-133656.
    1. Prado D. M., Silva A. G., Trombetta I. C., et al. Exercise training associated with diet improves heart rate recovery and cardiac autonomic nervous system activity in obese children. International Journal of Sports Medicine. 2010;31(12):860–865. doi: 10.1055/s-0030-1267158.
    1. Azadbakht L., Mirmiran P., Esmaillzadeh A., Azizi F. Dairy consumption is inversely associated with the prevalence of the metabolic syndrome in Tehranian adults. American Journal of Clinical Nutrition. 2005;82(3):523–530.
    1. Duffey K. J., Gordon-Larsen P., Steffen L. M., Jacobs D. R., Jr., Popkin B. M. Drinking caloric beverages increases the risk of adverse cardiometabolic outcomes in the coronary artery risk development in young adults (CARDIA) study. The American Journal of Clinical Nutrition. 2010;92(4):954–959. doi: 10.3945/ajcn.2010.29478.

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