|
|
Study on correlation between damp heat constitution and inflammatory markers in obesity patients |
ZHANG Xufeng1 JIN Xin2 LIU Zhenxiu3 WU Jiayun3 TAO Feng2 ZHU Yunhua4 ZHANG Xiaotian4 |
1.Department of Laboratory, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China;
2.Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China;
3.Graduate School, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China;
4.Department of Preventive Medicine, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China |
|
|
Abstract Objective To explore the correlation between damp heat constitution and inflammatory markers in obese patients. Methods Eighty obesity outpatients from Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine and eighty normal weight physical examinees from January 2018 to June 2019 in Department of Preventive Medicine were selected and divided into four groups: obesity damp heat group (40 cases), obesity calmness group (40 cases), normal weight damp heat group (40 cases) and normal weight calmness group (40 cases). Body mass index, waist circumference, body fat rate, trunk fat rate, inflammatory markers (tumor necrosis factor α [TNF-α], interleukin-6 [IL-6], C-reactive protein [CRP] and leptin) and metabolic indexes were compared in each group. The correlation between inflammatory markers and the score of damp heat quality in obesity patients was analyzed. Results There was significant difference in the scores of damp heat quality among four groups (P < 0.05). There were significant differences in body mass index, waist circumference, body fat rate and trunk fat rate among four groups (P < 0.05). The body mass index, waist circumference, body fat rate and trunk fat rate of obesity damp heat group and obesity calmness group were all higher than those of normal weight damp heat group and normal weight calmness group (P < 0.05). The waist circumference, body fat rate and trunk fat rate of obesity damp heat group were higher than those of obesity calmness group (P < 0.05). The levels of TNF-α, IL-6, CRP and leptin among four groups were significantly different (P < 0.05). The levels of TNF-α in obesity damp heat group and obesity calmness group were higher than those in normal weight calmness group (P < 0.05). The level of TNF-α in obesity damp heat group was higher than that in obesity calmness group and normal weight damp heat group (P < 0.05). The levels of IL-6 and CRP in obesity damp heat group were higher than those in normal weight calmness group (P < 0.05). The levels of leptin in obesity damp heat group, obesity calmness group and normal weight damp heat group were higher than those in normal weight calmness group (P < 0.05). The levels of leptin in obesity damp heat group and obesity calmness group were higher than those in normal weight damp heat group (P < 0.05). The level of leptin in obesity damp heat group was higher than that in obesity calmness group (P < 0.05). The glycosylated hemoglobin (HbA1c) and triacylglycerol (TG) levels among four groups were significantly different (P < 0.05). HbA1c level of obesity damp heat group was higher than that of normal weight calmness group and normal weight damp heat group (P < 0.05). TG level of obesity damp heat group was higher than that of normal weight calmness group (P < 0.05). There was a positive correlation between TNF-α, IL-6, leptin and the score of damp heat quality in obesity patients (r = 0.37, 0.11, 0.62, P < 0.05). Conclusion There is correlation between damp heat constitution and inflammatory markers. The former may be a tool to evaluate the chronic inflammatory level of obesity patients.
|
|
|
|
|
[1] Bray GA,Heisel WE,Afshin A,et al. The science of obesity management:an endocrine society scientific statement [J]. Endocr Rev,2018,39(2):79-132.
[2] 郭凤霞,杨沁平,吴菲,等.上海市18岁及以上居民超重肥胖流行现状及膳食因素分析[J].上海预防医学,2019, 31(2):111-117.
[3] 胡以松,姚亚男,宋月萍,等.中国九年级学生肥胖情况及其影响因素[J].中华疾病控制杂志,2019,23(5):527-531.
[4] 姜博,马爱娟,方凯,等.2014年北京市18~65岁居民超重肥胖流行现状与影响因素分析[J].首都公共卫生,2019, 13(3):137-139.
[5] 黄春萍,徐珏.杭州市中小学生中心性肥胖影响因素多水平模型分析[J].中国学校卫生,2019,40(6):885-887, 892.
[6] 田梦菲,陈涤平,李文林,等.肥胖与中医体质类型相关性的研究进展[J].广东医学,2018,39(1):60-62.
[7] 徐祎聪,王建荣,汤毅.湿热质研究进展[J].河南中医,2017,37(1):174-177.
[8] 朱丽冰,王济,李玲孺,等.超重和肥胖人群的中医兼夹体质分析[J].中华中医药学刊,2017,35(1):161-165.
[9] 陈禹,李玲孺,姚海强,等.痰湿体质、湿热质与代谢性疾病关系研究[J].辽宁中医药大学学报,2016,18(1):108-110.
[10] 钟叙春.湿热质研究进展[J].时珍国医国药,2018,29(12):3004-3006.
[11] Ackerman SE,Blackburn OA,Marchildon F,et al. Insights into the link between obesity and cancer [J]. Curr Obes Rep,2017,6(2):195-203.
[12] 中华医学会内分泌学分会肥胖学组.中国成人肥胖症防治专家共识[J].中华内分泌代谢杂志,2011,27(9):711-717.
[13] 中华医学会肠外肠内营养学分会营养与代谢协作组,北京协和医院减重多学科协作组.减重手术的营养与多学科管理专家共识[J].中华外科杂志,2018,56(2):81-90.
[14] 中华中医药学会.中医体质分类与判定(ZYYXH/T157-2009)[J].世界中西医结合杂志,2009,4(4):303-304.
[15] 金昕,陈思,徐杰,等.单纯性肥胖就诊患者的中医证素特征分析[J].中华中医药杂志,2016,31(7):2774-2778.
[16] 石劢,刘兆兰,许美艳,等.北京城区老年人中医体质与慢性病的关系研究[J].山东中医杂志,2016,35(1):28-30,46.
[17] Bluher M. Obesity:global epidemiology and pathogenesis [J]. Nat Rev Endocrinol,2019,15(5):288-298.
[18] Iyengar NM,Gucalp A,Dannenberg AJ,et al. Obesity and cancer mechanisms:tumor microenvironment and inflammation [J]. J Clin Oncol,2016,34(35):4270-4276.
[19] Cox AJ,West NP,Cripps AW. Obesity,inflammation,and the gut microbiota [J]. Lancet Diabetes Endo,2015,3(3):207-215.
[20] Eichelmann F,Schwingshackl L,Fedirko V,et al. Effect of plant-based diets on obesity-related inflammatory profiles:a systematic review and meta-analysis of intervention trials [J]. Obes Rev,2016,17(11):1067-1079.
[21] 钟晴,李毅琳,黄远霞,等.武汉市居民超重肥胖现状及影响因素分析[J].中国公共卫生,2019,35(9):1210-1214.
[22] 王宇,陈旭.秦皇岛市老年人群超重和肥胖及影响因素分析[J].预防医学,2019,31(8):827-829.
[23] 张静,张娟,杨婕,等.江苏省儿童青少年超重肥胖现状及影响因素分析[J].中国学校卫生,2019,40(5):778-780. |
|
|
|