Objective:To observe the changes in percentages and subsets of invariant nature kiler T (iNKT) cells in adipose and related tissues at different stages of obesity, and analyze the role of iNKT cells during chronic inflammation in adipose tissues in a mouse model of obesity established with high-fat diet.Methods:Changes in mouse body weight, mental state, glucose tolerance and insulin tolerance were recorded. Hematoxylin and eosin (HE) staining was used to observe pathological changes in adipose tissues. Flow cytometry was performed to detect the percentages and subsets of iNKT cells as well as the percentages and subtypes of macrophages. The levels of cytokines in serum samples and the culture supernatants of lymphocytes in adipose tissues were detected with CBA. The expression of related proteins in adipose tissues was detected by Western blot.Results:(1) The volume of adipose cells increased significantly after four weeks of high-fat feeding, but the infiltration of inflammatory cells was not obvious. Significantly increased infiltration of inflammatory cells was observed after 12 weeks of high-fat feeding. (2) High-fat feeding could reduce the percentage of iNKT cells, increase the proportion of iNKT1 subgroup and decrease the proportion of iNKT10 subgroup in adipose tissues. The proportion of iNKT1 subgroup in thymus increased, but that of iNKT2 subgroup decreased. The percentage of macrophages and the proportion of M1 subgroup in adipose tissues increased, while the proportion of M2 subgroup decreased, which were more obvious after 12 weeks of high-fat feeding. (3) High-fat feeding resulted in decreased expression of E4BP4 and arginase-1 (Arg-1) in adipose tissues and increased expression of inducible nitric oxide synthase (iNOS). (4) High-fat feeding significantly increased the pro-inflammatory cytokines and decreased the anti-inflammatory cytokines in mouse serum and culture supernatants of lymphocytes in adipose tissues with more significant changes observed after 12 weeks of high-fat feeding.Conclusions:Increased iNKT1 and decreased iNKT10 in obese adipose tissues might be closely related to the increased M1 polarization and the imbalance of iNKT subsets might be involved in the progression of chronic inflammation in obese adipose tissues.

Objective:To investigate the mechanism of invariant natural killer T (iNKT)2 cell improving hepatic fat deposition in nonalcoholic fatty liver (NAFL).Methods:NAFL model was established by feeding C57BL/6J mice with high fat diet. The levels of serum total cholesterol, triglyceride, high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) in the peripheral blood of mice were analyzed using automatic biochemical analyzer. The pathological changes of liver were observed with HE staining. The cell frequencies of iNKT, iNKT1, and iNKT2 in liver were detected by flow cytometry. Western blotting was used to detect the expression of sterol regulatory element binding protein 1c (SREBP-1c), peroxisome proliferator activated receptor (PPAR)-α, and nuclear factor-κB (NF-κB) in liver tissues.Results:Compared with control group, the body weight of NAFL mice increased, the levels of total cholesterol, HDL-C, LDL-C, ALT, and liver fat deposition increased, the protein expression of SREBP-1c and PPAR-α in liver increased as well as the the protein phosphorylation level of NF-κB. After intraperitoneal injection of α-galactosylceramide (α-GalCer), the levels of total cholesterol, HDL-C, and LDL-C, liver fat deposition decreased, liver SREBP-1c was down-regulated, PPAR-α expression was up-regulated, and the proportion of liver iNKT2 subgroup increased in NAFL mice.Conclusion:iNKT2 cells improve NAFL liver fat deposition, which is related to the down-regulation of SREBP-1c and up-regulation of PPAR-α.

Objective:To investigate the thyroid volume of adults in Lanzhou City, and analyze its influencing factors.Methods:In June 2016, according to the principle of multi-stage stratified cluster sampling, Han residents aged 18 and above in Chengguan, Xigu and Qilihe districts of Lanzhou City who had lived there for more than 5 years were selected as research subjects, and a portable B-ultrasound machine was used for thyroid examination. Morning urine samples of the subjects were collected to test urinary iodine; fasting venous blood samples of the subjects were collected to test serum thyroid stimulating hormone (TSH), thyroid peroxidase antibody (TPOAb), anti-thyroglobulin antibody (TgAb), blood lipids [triglycerides (TG), total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL)] and blood uric acid (Ua) levels. At the same time, body indexes systolic blood pressure (SP), diastolic blood pressure (DP), waist circumference, height and weight were measured, and the body mass index (BMI) was calculated. Multiple linear regression was used to analyze the influencing factors of thyroid volume.Results:A total of 1 009 subjects were included, aged (43.50 ± 15.16) years, and the thyroid volume was (8.74 ± 3.39) ml. Among them, 534 males had a thyroid volume of (9.46 ± 3.43) ml; 475 females had a thyroid volume of (7.93 ± 3.15) ml, the thyroid volume of males was larger than that of females ( t = 7.36, P < 0.01). Thyroid volume was positively correlated with age, height, weight, BMI, SP, waist circumference, LDL, Ua and TgAb ( r = 0.07, 0.23, 0.33, 0.27, 0.10, 0.27, 0.10, 0.08, 0.07, P < 0.05), and it was negatively correlated with thyroid nodules, TPOAb, TSH and urinary iodine ( r = - 0.16, - 0.07, - 0.10, - 0.08, P < 0.05). After multiple linear regression analysis, TSH, TPOAb, TgAb and thyroid nodules were included in the regression equation, and the standardized B values were - 0.135, - 0.065, 0.123 and - 0.197, respectively. Conclusions:The thyroid volume of males is larger than that of females in Lanzhou City. TSH, TPOAb, TgAb and thyroid nodules are influencing factors of thyroid volume.

Objective:To investigate the detection rate and related factors of thyroid nodules in people with abnormal lipid metabolism.Methods:From September 4, 2016 to February 1, 2017, community residents living in Lanzhou City, Longnan City, Dingxi City and Linxia City of Gansu Province for more than 5 years were selected as the respondents. General data were recorded, venous blood was collected, blood lipid related biochemical indexes were detected, and thyroid ultrasound was performed. By comparing the general data and biochemical indexes, the detection of abnormal lipid metabolism and thyroid nodules were analyzed, and the risk factors of thyroid nodules in people with abnormal lipid metabolism were analyzed by logistic regression.Results:Two thousand and fifty-nine residents were included in this study (1 049 males and 1 010 females). The total detection rate of thyroid nodules was 23.17% (477/2 059). The detection rate of thyroid nodules in people with abnormal lipid metabolism [34.16%(151/442)] was significantly higher than that in people with normal lipid metabolism [20.16% (326/1 617) , P < 0.01], and the detection rate of thyroid nodules of women [43.37% (85/196) ] was higher than that of men [26.83% (66/246) , P < 0.01]. Among the people with abnormal lipid metabolism, the highest detection rate of thyroid nodules was in mixed hyperlipidemia [57.14% (16/28)], followed by hypertriglyceridemia [34.59% (92/266)]. The detection rates of thyroid nodules in the groups with elevated total cholesterol (TC) and low density lipoprotein cholesterol (LDL-C) levels [35.16% (32/91), 34.85% (23/66)] were higher than those in the marginal elevated group [27.04%(86/318), 30.42% (73/240)] and the normal groups [21.76% (359/1 650), 21.73% (381/1 753), P < 0.05]. The results of logistic regression analysis showed that the risk factors of thyroid nodules in people with abnormal lipid metabolism were increased age, elevated fasting blood glucose (FPG), elevated blood glucose 2 hours (2 h PG) after oral glucose tolerance test (OGTT) load and elevated glycosylated hemoglobin [HbA1c, odds ratio ( OR)=1.065, 1.387, 1.866, 1.384, P < 0.05]. Conclusions:The prevalence of TN is higher in populations with abnormal lipid metabolism. The control of blood sugar and blood lipid levels may play a role in the prevention of thyroid nodules.

Objective: To analyze the urinary iodine status of urban and rural residents in some areas of Gansu Province and its related influencing factors, and to provide certain references for scientific iodine intake of urban and rural residents in Gansu Province. Methods: Subjects in Gansu Province with normal thyroid function were recruited in the investigation of thyroid diseases and iodine nutritional status, conducted a questionnaire survey and measured height, weight, waist circumference, collected 1 urine sample, and tested their urinary iodine levels. The urinary iodine levels of different groups were compared based on different gender, region, age, body weight, the waist, and salt intaking. The affecting factors of urinary iodine levels were analyzed by multiple linear regression models. Results: Totally 1 964 subjects were recruited, including 1 099 males, and 865 females. The age was (41.23 ± 14.75) years old. The median urinary iodine of the selected group was 225.60 (158.80, 311.58) μg/L. The urinary iodine level of rural residents was significantly higher than that of urban residents [μg/L: 249.80 (180.58, 336.88) vs 206.25 (148.03, 280.33), Z=-8.015, P < 0.05], and there was no significant difference between the urinary iodine levels of male and female [μg/L: 222.40 (161.60, 298.90) vs 230.60 (158.00, 326.40), P > 0.05]. The composition ratio of < 100 μg/L group in rural areas was lower than that in urban areas (5.14% vs 8.27%, χ²= 7.45, P < 0.05), and the composition ratio of ≥300 μg/L group was higher than that in urban areas (34.93% vs 21.51%, χ²= 43.87, P < 0.05). The composition ratio of ≥300 μg/L group in male was lower than that in female (24.57% vs 31.21%, χ²= 10.73, P < 0.05). The multiple linear regression analysis showed that lived in rural areas, age, moderate and severe salt intaking, student, and weight were independently correlated with urinary iodine levels (β= 0.074, -0.001, 0.059, 0.034, 0.096, -0.003, P < 0.05). And the urinary iodine levels were decreased with age and weight increased (P < 0.05). Conclusions At present, the iodine nutrition level of urban and rural residents in some areas of Gansu Province is generally over the adequate level. The urinary iodine level of rural residents is higher than that of urban residents. In the future, we should pay attention to the impact of different living areas, salt intaking and body weight on urinary iodine levels to prevent thyroid diseases.