scholarly journals Effects of thyroid hormone and depression on common components of central obesity

2019 ◽  
Vol 47 (7) ◽  
pp. 3040-3049 ◽  
Author(s):  
Fu-Man Du ◽  
Hong-Yu Kuang ◽  
Bin-Hong Duan ◽  
Da-Na Liu ◽  
Xin-Yang Yu
Keyword(s):  
Central Obesity ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Epidemiological Studies ◽  
Thyroid Stimulating Hormone ◽  
Model Assessment ◽  
Free Triiodothyronine ◽  
Serum Tsh ◽  
Tsh Levels

Objective We investigated the prevalence of abnormal thyroid function and depression in centrally obese participants, and to analyze the relationship of thyroid hormones and depression with components of central obesity. Methods We randomly selected 858 centrally obese participants and 500 non-obese controls in this study. For all participants, we measured serum free triiodothyronine (FT3), free thyroxine (FT4), thyroid-stimulating hormone (TSH), body mass index (BMI), waist–hip ratio (WHR), fasting blood glucose and insulin, homeostasis model assessment of insulin resistance (HOMA-IR), lipid concentrations, and blood pressure. Depression was assessed using the Center for Epidemiological Studies-Depression (CES-D) scale. Results Centrally obese participants had a higher prevalence of hypothyroidism and depression than non-obese controls. Serum FT4 levels negatively correlated with BMI and serum TSH levels and positively correlated with BMI, WHR, total triglycerides (TG), total cholesterol (TC), and low density lipoprotein cholesterol (LDL-C). After excluding participants with hypothyroidism and hyperthyroidism, serum FT4 levels showed negative correlation and serum TSH levels showed positive correlation with BMI in the remaining centrally obese participants. CES-D scores positively correlated with BMI. Conclusion We found high prevalences of hypothyroidism and depression among centrally obese participants. FT4 and TSH are important in weight regulation. Depression positively correlated with obesity.

scholarly journals Obese patients with higher TSH levels had an obvious metabolic improvement after bariatric surgery

2021 ◽  
Vol 10 (10) ◽  
pp. 1326-1336
Author(s):  
Nannan Bian ◽  
Xiaomeng Sun ◽  
Biao Zhou ◽  
Lin Zhang ◽  
Qiu Wang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Bariatric Surgery ◽  
Thyroid Function ◽  
Fasting Blood Glucose ◽  
Thyroid Stimulating Hormone ◽  
Morbidly Obese ◽  
Obese Patients ◽  
Free Triiodothyronine ◽  
The Relationship ◽  
Tsh Levels

Objective Bariatric surgery has become the most effective treatment for morbid obesity. Increasing evidence showed that bariatric surgery can alleviate insulin resistance and influence thyroid function. This study aimed to investigate the relationship between changes in thyroid function and adipose tissue insulin resistance (adipo-IR) after bariatric surgery. Methods A total of 287 non-diabetic participants with regular thyroid function were recruited and divided into the lean, overweight and obese groups. Among them, 50 morbidly obese patients submitted to bariatric surgery. Results The obese group had a higher level of adipo-IR, thyroid-stimulating hormone (TSH), free triiodothyronine (FT3), FT3/free thyroxine (FT4) and metabolism disorders than the lean and overweight groups. BMI was correlated with TSH, FT3, FT3/FT4 and adipo-IR (r = 0.309, 0.315, 0.322 and 0.651, respectively, all P < 0.001). Adipo-IR was significantly correlated with TSH (r = 0.402, P < 0.001), FT3 (r = 0.309, P < 0.001), and FT3/FT4 (r = 0.228, P < 0.05). Bariatric surgery resulted in a sharp decline in BMI, adipo-IR, TSH, FT3 and FT3/FT4 levels, meanwhile, metabolic disorders improved. The decrease in BMI after bariatric surgery was significantly correlated with reductions in adipo-IR (r = 0.577, P < 0.001) and TSH (r = 0.401, P = 0.005). Interestingly, the fasting blood glucose, fasting insulin, adipo-IR and TSH in the higher TSH group decreased more remarkably than in the lower TSH group. Conclusion Obese individuals with higher TSH levels had an obvious metabolic improvement after bariatric surgery.

Dietary Sulfur-Containing Amino Acids Are Associated with Higher Prevalence of Overweight/Obesity in Northern Chinese Adults, an Internet-Based Cross-Sectional Study

2018 ◽  
Vol 73 (1) ◽  
pp. 44-53 ◽  
Author(s):  
Yan-chuan Li ◽  
Yu-zheng Li ◽  
Rui Li ◽  
Li Lan ◽  
Chun-long Li ◽  
...  
Keyword(s):  
Amino Acids ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Serum Triglyceride ◽  
Postprandial Glucose ◽  
Lipid Profiles ◽  
Model Assessment ◽  
Cross Sectional ◽  
Sulfur Containing

Background/aims: Elevation of plasma sulfur-containing amino acids (SAAs) is generally associated with higher body mass index (BMI) and unfavorable lipid profiles. It is not known how dietary SAAs relate to these associations in humans. Methods: A convenient tool named internet-based dietary questionnaire for Chinese (IDQC) was used to estimate dietary SAAs intake. A total of 936 participants were randomly recruited and asked to complete the IDQC. Furthermore, 90 subjects were randomly selected to perform a subgroup study. The associations between dietary SAAs and prevalence of obesity, lipid profiles, and status of insulin resistance (IR), inflammation and oxidative stress were assessed. Results: Dietary total SAAs and cysteine of overweight/obese participants were significantly higher. Dietary total SAAs and cysteine were positively associated with BMI and waist circumference. Higher dietary total SAAs were associated with higher prevalence of overweight/obesity. Higher dietary total SAAs and cysteine also associated with higher serum triglyceride (total cholesterol), low density lipoprotein, fasting blood glucose, 2 h-postprandial glucose, and homeostasis model assessment of IR. In the subgroup study, positive associations between dietary SAAs and inflammation biomarkers were also observed. Conclusions: Dietary SAAs are associated with higher prevalence of overweight/obesity, unfavorable lipid profiles and status of IR, and inflammation.

scholarly journals The Effect of Metformin on Polycystic Ovary Syndrome in Overweight Women: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yuanyuan Guan ◽  
Dongjun Wang ◽  
Huaien Bu ◽  
Tieniu Zhao ◽  
Hongwu Wang
Keyword(s):  
Polycystic Ovary ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Sex Hormone Binding Globulin ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Ovary Syndrome ◽  
Overweight Women ◽  
Randomized Controlled

Objective. Metformin is an important component of PCOS treatment. At present, the effect of metformin in overweight women with PCOS has not been evaluated. Therefore, we conducted a systematic review to assess the effects of metformin in overweight women with PCOS and to analyze the effects of metformin in overweight women with PCOS. Methods. We searched the PubMed, Cochrane Library, Embase, CNKI, VIP, and Wanfang databases for studies published before March 2020. Randomized controlled trials were identified to study the effects of metformin in overweight women with PCOS. Data from studies including body mass index (BMI), waist circumference (WC), follicle-stimulating hormone (FSH), homeostasis model assessment of insulin resistance (HOMA-IR), luteinizing hormone (LH), sex hormone-binding globulin (SHBG), high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, total cholesterol (TC), triglycerides (TG), fasting blood glucose (FBG), fasting insulin, testosterone, and androstenedione were pooled. Qualified trials were selected, and methodological quality was strictly assessed. Two reviewers chose the studies independently of each other. Results. Twelve trials were included. The intervention group and the control group had significant differences in the changes in body mass index (BMI) (WMD = −1.25, 95% CI (−1.60, −0.91), p<0.00001) and waist circumference (WC) (WMD = −1.41, 95% CI (−2.46, −0.37), p=0.008) after metformin. The comprehensive results show that, in all studies, overweight women with polycystic ovary syndrome treated with metformin had significantly improved endocrine and metabolic indicators, including testosterone, follicle-stimulating hormone, luteinizing hormone, and low-density lipoprotein cholesterol. However, metformin did not regulate the secretion indexes of fasting insulin, homeostasis model assessment of insulin resistance, sex hormone-binding globulin, high-density lipoprotein cholesterol, total cholesterol, triglycerides, fasting blood glucose, and androstenedione. Conclusions. Compared with control interventions, metformin appears to be an effective intervention for overweight women with PCOS.

scholarly journals Causal Association between Serum Thyroid-Stimulating Hormone and Obesity: A Bidirectional Mendelian Randomization Study

2021 ◽  
Author(s):  
Xichang Wang ◽  
Xiaotong Gao ◽  
Yutong Han ◽  
Fan Zhang ◽  
Zheyu Lin ◽  
...  
Keyword(s):  
Mendelian Randomization ◽  
Association Studies ◽  
Epidemiological Studies ◽  
Thyroid Stimulating Hormone ◽  
Genome Wide Association Studies ◽  
Causal Association ◽  
Free Triiodothyronine ◽  
The Impact ◽  
Serum Tsh ◽  
Stimulating Hormone

Abstract Context The association between serum thyroid-stimulating hormone (TSH) and obesity traits has been investigated previously in several epidemiological studies. However, the underlying causal association has not been established. Objective To determine and analyze the causal association between serum TSH level and obesity-related traits (BMI and obesity). Design, Setting, Participants The latest genome-wide association studies (GWASs) on TSH, BMI and obesity were searched to obtain full statistics. Bidirectional two-sample Mendelian randomization (MR) was performed to explore the causal relationship between serum TSH and BMI and obesity. The inverse variance-weighted (IVW) and MR-Egger methods were used to combine the estimation for each SNP. Based on the preliminary MR results, free thyroxine (fT4) and free triiodothyronine (fT3) levels were also set as outcomes to further analyze the impact of BMI on them. Main Outcome Measures BMI and obesity were treated as the outcomes to evaluate the effect of serum TSH on them, and TSH was set as the outcome to estimate the effect of BMI and obesity on it. Results Both IVW and MR-Egger results indicated that genetically driven serum TSH did not causally lead to changes in BMI or obesity. Moreover, the IVW method showed that the TSH level could be significantly elevated by genetically predicted high BMI (β=0.038, se=0.013, p=0.004). In further MR analysis, the IVW method indicated that BMI could causally increase the fT3 (β=10.123, se=2.523, p&lt;0.001) while not significantly affecting the fT4 level. Conclusion Together with fT3, TSH can be significantly elevated by an increase in genetically driven BMI.

scholarly journals ASSOCIATION OF SUBCLINICAL HYPOTHYROIDISM IN METABOLIC SYNDROME PATIENTSASSOCIATION OF SUBCLINICAL HYPOTHYROIDISM IN METABOLIC SYNDROME PATIENTS

2018 ◽  
Vol 11 (9) ◽  
pp. 188
Author(s):  
Jennifer S Suhashini ◽  
Savitha G
Keyword(s):  
Metabolic Syndrome ◽  
Subclinical Hypothyroidism ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Significant Difference ◽  
Tsh Levels

Objectives: Subclinical hypothyroidism (SCH) is also the major risk for cardiovascular disease like metabolic syndrome (MetS). Hence, the aim of this study is to assess the association of SCH in MetS patients.Materials and Methods: Ninety patients reporting to Saveetha Dental College and Hospitals were enrolled in the study which includes 40 patients with MetS and 40 healthy individuals. 5 ml of venous blood was collected and centrifuged. Then, it is analyzed for fasting blood sugar, serum triglycerides, high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), and very low-density lipoprotein (VLDL) using the standard kit method. Then, Free T3, Free T4, and thyroid-stimulating hormone (TSH) were estimated by ELISA method. The data obtained were subjected to statistical analysis using the SPSS software.Results: SCH is 20% in cases when compared to 4.4% in controls, which was significant, p=0.024. The biochemical parameters were compared between the study population fasting blood glucose, triglycerides, total cholesterol, low-density lipoprotein cholesterol, and VLDL cholesterol was statistically significant, with p<0.001. TSH levels showed significant difference between two groups with the p=0.002.Conclusion: MetS patients should be screened for the SCH as an important risk factor in evaluation protocol. Mere correction of TSH levels can reverse the associated morbidity in these patients rather than leaving them untreated pushing them to a state of overt hypothyroidism with its attendant complications.

scholarly journals Plasma miR-21 expression: an indicator for the severity of Type 2 diabetes with diabetic retinopathy

2017 ◽  
Vol 37 (2) ◽  
Author(s):  
Qi Jiang ◽  
Xue-Man Lyu ◽  
Yi Yuan ◽  
Ling Wang
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Retinopathy ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Diagnostic Value ◽  
Control Group ◽  
Model Assessment ◽  
Disease Course

To investigate the roles of plasma miR-21 in the pathogenic process of Type 2 diabetes (T2D) with diabetic retinopathy (DR). T2D patients included patients without DR (NDR) group, patients with non-proliferative/background DR (BDR) group and patients with proliferative DR (PDR) group. Healthy individuals served as control group. Fasting plasma glucose (FPG), glycosylated haemoglobin (HbA1c), triacylglycerol (TG), total cholesterol (TC), urine creatinine (Cr), fasting blood glucose (FBG), blood urea nitrogen (BUN), low-density lipoprotein cholesterol (LDL-C), fasting insulin (FINS) and plasma miR-21 expression were measured. Quantitative real-time PCR (qRT-PCR) was applied to detect miR-21 expression. Pearson analysis was used to conduct correlation analysis and receiver operating characteristic (ROC) curve was used to analyse the diagnostic value of miR-21 in T2D with DR. Compared with the control group, FBG and HbA1c increased in the NDR group; compared with the control and NDR groups, disease course, HbA1c, FPG levels and homoeostasis model assessment of insulin resistance (HOMA-IR) were increased in the BDR and PDR groups; and compared with the BDR group, disease course, HbA1c and FPG levels were higher in the PDR group. miR-21 expression was higher in the BDR group than the control group, and higher in the PDR group than the BDR group. miR-21 expression was positively related with disease course, HbA1C, FPG and HOMA-IR, and had diagnostic value for T2D with DR and PDR. The plasma miR-21 expression was increased in the development of T2D with DR and can be used as an indicator for the severity of T2D with DR.

scholarly journals Discordance between LDL-C and Apolipoprotein B Levels and Its Association with Renal Dysfunction: Insights from a Population-Based Study

2022 ◽  
Vol 11 (2) ◽  
pp. 313
Author(s):  
Mohsen Mazidi ◽  
Richard J. Webb ◽  
Gregory Y. H. Lip ◽  
Andre P. Kengne ◽  
Maciej Banach ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Apolipoprotein B ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Population Based ◽  
Categorical Variables ◽  
Atherosclerotic Cardiovascular Disease ◽  
Model Assessment ◽  
Logistic Regression Models

Low-density lipoprotein cholesterol (LDL-C) and apolipoprotein B (ApoB) are established markers of atherosclerotic cardiovascular disease (ASCVD), but when concentrations are discordant ApoB is the superior predictor. Chronic kidney disease (CKD) is associated with ASCVD, yet the independent role of atherogenic lipoproteins is contentious. Four groups were created based upon high and low levels of ApoB and LDL-C. Continuous and categorical variables were compared across groups, as were adjusted markers of CKD. Logistic regression analysis assessed association(s) with CKD based on the groups. Subjects were categorised by LDL-C and ApoB, using cut-off values of >160 mg/dL and >130 mg/dL, respectively. Those with low LDL-C and high ApoB, compared to those with high LDL-C and high ApoB, had significantly higher body mass index (30.7 vs. 30.1 kg/m2) and waist circumference (106.1 vs. 102.7 cm) and the highest fasting blood glucose (117.5 vs. 112.7 mg/dL), insulin (16.6 vs. 13.1 μU/mL) and homeostatic model assessment of insulin resistance (5.3 vs. 3.7) profiles (all p < 0.001). This group, compared to those with high LDL-C and high ApoB, also had the highest levels of urine albumin (2.3 vs. 2.2 mg/L), log albumin-creatinine ratio (2.2 vs. 2.1 mg/g) and serum uric acid (6.1 vs. 5.6 mg/dL) and the lowest estimated glomerular filtration rate (81.3 vs. 88.4 mL/min/1.73 m2) (all p < 0.001). In expanded logistic regression models, using the low LDL-C and low ApoB group as a reference, those with low LDL-C and high ApoB had the strongest association with CKD, odds ratio (95% CI) 1.12 (1.08–1.16). Discordantly high levels of ApoB are independently associated with increased likelihood of CKD. ApoB remains associated with metabolic dysfunction, regardless of LDL-C.

Are serum TSH levels associated with oxidized low density lipoprotein?

2010 ◽  
Vol 72 (08/09) ◽  
Author(s):  
T Ittermann ◽  
S Baumeister ◽  
H Völzke ◽  
C Wasner ◽  
U Schminke ◽  
...  
Keyword(s):  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Low Density ◽  
Oxidized Low Density Lipoprotein ◽  
Serum Tsh ◽  
Tsh Levels

scholarly journals Correlation Between Serum TSH Levels Within Normal Range and Serum Lipid Profile

2020 ◽  
Vol 53 (01) ◽  
pp. 32-40
Author(s):  
Liu Luxia ◽  
Liu Jingfang ◽  
Fu Songbo ◽  
Tang Xulei ◽  
Ma Lihua ◽  
...  
Keyword(s):  
Serum Lipid ◽  
Serum Lipids ◽  
Middle Age ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipid Profiles ◽  
Normal Serum ◽  
Normal Range ◽  
Serum Tsh ◽  
Tsh Levels

AbstractThe aim of the work was to investigate the correlation between serum TSH (thyrotropin) levels within normal range and serum lipids. A total of 1962 subjects with normal thyroid function were enrolled. The subjects were divided into four groups according to the quartiles of serum normal TSH levels, [Q1 (0.27–1.68) mIU/l, Q2 (1.69–2.35) mIU/l, Q3 (2.36–3.07) mIU/l, and Q4 (3.08–4.20) mIU/l]. The effect of serum normal TSH levels on serum lipid profiles of different age or gender was analyzed. The total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C) levels of the Q3 group and TG levels of the Q4 group were higher than those of the Q1 group in youth (p <0.05). The TC levels of the Q3 group were higher than those of the Q2 group in middle age (p <0.05). The LDL-C levels of middle age or elderly were higher than those of youth at the same TSH levels (p <0.05), while the TC levels of middle age were higher than those of youth in Q1, Q3, or Q4 group (p <0.05), and the TC and HDL-C levels of elderly were higher than those of youth in the Q2 group (p <0.05). The TG levels of the Q3 group were higher than those of Q1 group in males (p <0.05). The LDL-C levels of the Q3 group were higher than those of the Q1 group in females (p <0.05). In conclusion, the normal serum TSH levels were found to be closely related to serum lipid profiles, and with increasing TSH levels, serum lipids levels increased gradually.

Thyroid-Stimulating Hormone, Degree of Obesity, and Metabolic Risk Markers in a Cohort of Swedish Children with Obesity

2017 ◽  
Vol 88 (2) ◽  
pp. 140-146 ◽  
Author(s):  
Veroniqa Lundbäck ◽  
Kerstin Ekbom ◽  
Emilia Hagman ◽  
Ingrid Dahlman ◽  
Claude Marcus
Keyword(s):  
Glucose Metabolism ◽  
Thyroid Hormones ◽  
Positive Association ◽  
Thyroid Stimulating Hormone ◽  
Metabolic Risk ◽  
Model Assessment ◽  
Free Triiodothyronine ◽  
Free Thyroid Hormones ◽  
Tsh Levels ◽  
Stimulating Hormone

Background/Aims: Thyroid-stimulating hormone (TSH) is affected in obesity and might influence metabolic risk. It is unclear what mechanisms cause elevated TSH in obesity. We aimed to investigate TSH status within the normal range and the association of TSH with degree of obesity and metabolic parameters in children with obesity. Methods: A total of 3,459 children, aged 3.0–17.9 years, were identified in the Swedish Childhood Obesity Treatment Registry, BORIS. Age, gender, TSH, free triiodothyronine (fT3), free thyroxine (fT4), body mass index standard deviation scores (BMI SDS), as well as variables of lipid and glucose metabolism were examined. Results: Children with high-normal TSH (>3.0 mU/L) (28.8%) had higher BMI SDS compared to children with low-normal TSH (<3.0 mU/L) (p < 0.001). Multivariable regression analysis adjusted for age and gender showed that TSH levels were associated with BMI SDS (β: 0.21, 95% CI: 0.14–0.28, p < 0.001). Associations of thyroid hormones with markers of lipid and glucose metabolism were observed, where TSH was associated with fasting insulin, HOMA (homeostatic model assessment of insulin resistance), total cholesterol, and triglycerides. Conclusions: A positive association between TSH levels and BMI SDS was seen in children with obesity. Associations of TSH and free thyroid hormones with glucose metabolism indicated that TSH might be one of several factors acting to determine body weight and obesity co-morbidities, although the underlying mechanism remains unclear.

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