scholarly journals Association of thyroid hormone with body fat content and lipid metabolism in euthyroid male patients with type 2 diabetes mellitus: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xia Sun ◽  
Liping Chen ◽  
Rongzhen Wu ◽  
Dan Zhang ◽  
Yinhui He
Keyword(s):  
Lipid Metabolism ◽  
Thyroid Hormones ◽  
Body Fat ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Fat Content ◽  
Cross Sectional ◽  
Tnf Α ◽  
Body Fat Content ◽  
Male Patients

Abstract Background This study aimed to explore the associations of thyroid hormones with body fat content and lipid metabolism in euthyroid male patients with type 2 diabetes mellitus (T2DM). Methods In January 2017, a cross sectional study, 66 male patients with T2DM who met the World Health Organization diagnostic criteria of 1999 who were ≥ 18.0 years and had normal thyroid function were recruited at a tertiary hospital. The categories of thyroid hormones (free triiodothyronine [FT3], free thyroxine [FT4], and thyroid-stimulating hormone [TSH]) were divided into three groups according to tertiles of thyroid hormones. Results The mean FT3, FT4, and TSH of the patients were 2.56 pg/mL, 1.03 ng/dL, and 1.50 μIU/mL, respectively. Increased FT3 were associated with higher body mass index (BMI) (P <  0.001), body fat percentage (BFP) (P = 0.008), visceral fat content (VFC) (P = 0.019), adiponectin (P = 0.037), tumor necrosis factor alpha (TNF-α) (P <  0.001), and interleukin 6 (IL-6) (P = 0.015). There were significant differences among the different FT4 categories for BMI (P = 0.033), waist–hip ratio (WHR) (P = 0.030), low-density lipoprotein cholesterol (LDL-C) (P = 0.014), and IL-6 (P = 0.009). Increased TSH could increase the total cholesterol (TC) (P = 0.005) and high-density lipoprotein cholesterol (HDL-C) (P = 0.010). FT3 was positively correlated with BMI (r = 0.45; P <  0.001), WHR (r = 0.27; P = 0.028), BFP (r = 0.33; P = 0.007), VFC (r = 0.30; P = 0.014), adiponectin (r = 0.25; P = 0.045), TNF-α (r = 0.47; P <  0.001), and IL-6 (r = 0.32; P = 0.008). FT4 was positively correlated with HDL-C (r = 0.26; P = 0.038), LDL-C (r = 0.26; P = 0.036), and adiponectin (r = 0.28; P = 0.023). TSH was positively correlated with TC (r = 0.36; P = 0.003). Conclusion This study found that the changes in thyroid hormones are associated with various body fat content and lipid metabolism in euthyroid male patients with T2DM.

scholarly journals Dietary-lifestyle patterns associated with adiposity and metabolic abnormalities in young men: cross-sectional study (MeDiSH Project)

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Marta Lonnie ◽  
Lidia Wadolowska ◽  
Joanna Kowalkowska ◽  
Elzbieta Bandurska-Stankiewicz
Keyword(s):  
Body Fat ◽  
Central Obesity ◽  
Cross Sectional Study ◽  
Fat Content ◽  
Metabolic Abnormalities ◽  
Cross Sectional ◽  
Lower Odds ◽  
High Body ◽  
Body Fat Content ◽  
Lifestyle Patterns

AbstractThe aim of this study was to examine the associations of dietary-lifestyle patterns (DLPs) with adiposity and metabolic abnormalities in young Polish men. The cross-sectional study included 367 men 19–40-year-old. Dietary and lifestyle behaviours were determined with food frequency questionnaire (Jezewska-Zychowicz et al. 2018, http://www.knozc.pan.pl). DPLs were derived with Principal Component Analysis. Body size and composition was assessed using measuring tapes and bioelectrical impedance analysis (BIA) method. Adiposity was determined by the assessment of excessive body weight (body mass index, BMI = 25–29.9kg/m2 for overweight and ≥ 30kg/m2 for obesity), body-fat content (percentage body fat, %BF > 25%), central obesity status (waist circumference, WC > 102cm) and skeletal muscle mass (SMM < 31kg/m2). Metabolic abnormalities were determined if parameters exceeded: 100mg/dL for fasting blood glucose (FBG), 150mg/dL for triglycerides (TG), 200mg/dL for total cholesterol (TC) and at least one component of blood pressure (BP) was above the norm (SBP ≥ 130mmHg or/and DBP ≥ 80mmHg). Multivariate logistic regression was used to calculate odds ratio (OR) and verify the association between variables. Four DLPs were derived, explaining 33% of the variance. Greater adherence (upper vs. bottom tertile) to “Protein food, fried-food and recreational physical activity” (DLP1) and “Healthy diet, activity at work, former smoking” (DLP4) patterns was associated with higher odds of being overweight (odds ratio, OR = 2.12, 95% confidence interval, 95%CI: 1.15–3.89; 3.05,1.69–5.53) but with high SMM (2.62, 1.53–4.49; 3.27, 1.91–5.59) and lower odds of central obesity (0.36, 0.16–0.83; 0.30, 0.12–0.74) and high body-fat content (0.22, 0.11–0.43; 0.37, 0.19–0.72). In addition, men from the upper tertile of DLP1 had lower odds of increased TC (0.43, 0.24–0.75). Greater adherence to “Sandwiches and convenience foods” pattern (DPL2) was associated with higher odds of central obesity (3.36,1.38–8.12), high body-fat content (3.69, 1.88–7.24) and high TC (2.50, 1.47–4.59) and lower odds of high SMM (0.54,0.32–0.90). Greater adherence to “Fast foods and stimulants” pattern (DLP3) was associated with higher odds of general and central obesity (2.56,1.00–6.56; 3.54, 1.53–8.19), high body-fat content (4.47, 2.05–9.73), but not with metabolic abnormalities. No associations between upper tertiles of DLPs and FBG, TG and BP were found. The clustering of dietary and lifestyle behaviours in men revealed that healthy diet attempts combined with active lifestyle, at work or leisure time, reduced risk of adiposity and metabolic abnormalities, despite some unhealthy components, former smoking or fried-food consumption. The study strengthens previous findings that unhealthy dietary behaviours have an adverse effect on adiposity outcomes and metabolic health, potentially through the mechanisms associated with central obesity.

scholarly journals Influence of Biochemical and Anthropometric Factors on the Presence of Insulin Resistance in Adolescents

2016 ◽  
Vol 18 (5) ◽  
pp. 541-548 ◽  
Author(s):  
Emilio González-Jiménez ◽  
Jacqueline Schmidt-RioValle ◽  
Miguel A. Montero-Alonso ◽  
Cristina Padez ◽  
Carmen J. García-García ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Fat ◽  
Glycosylated Hemoglobin ◽  
Multivariate Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Fat Content ◽  
Model Assessment ◽  
Cross Sectional ◽  
Nonesterified Fatty Acids ◽  
Body Fat Content

Background:Insulin resistance plays a determinant role in the development of metabolic syndrome in adolescents. The objective of the present study was to determine the influence of factors commonly associated with insulin resistance in a sample of adolescents.Methods:This cross-sectional study included 976 adolescents from southeast Spain. Anthropometric and biochemical measurements were performed, and insulin resistance was assessed using the homeostasis model assessment–insulin resistance (HOMA-IR).Results:Subjects with abnormal HOMA-IR values had significantly higher body mass index (BMI), body fat content, waist circumference, and systolic blood pressure (BP) than those with normal values. Furthermore, levels of glucose, insulin, glycosylated hemoglobin, total cholesterol, triglycerides, low-density lipoprotein-cholesterol, homocysteine, nonesterified fatty acids, and ceruloplasmin were higher in subjects with abnormal HOMA-IR values. Multivariate logistic regression analysis showed the highest odds ratio ( OR) for BMI and that combinations of BMI with body fat content or systolic BP can increase the risk of insulin resistance 7-fold.Discussion:Anthropometric indicators have different levels of influence on the risk of insulin resistance in adolescents, and a combination of two of these indicators is enough to increase the risk 7-fold. Since the highest OR was observed for BMI, the greatest effort should be directed to reducing this parameter in adolescents. An adequate understanding by nursing personnel of factors associated with insulin resistance is a key factor in the prevention of this pathophysiological condition and its complications in adolescents.

The relationship between thyroid hormone and lipid metabolism/body fat content in euthyroid male patients with type 2 diabetes mellitus in China: A cross-sectional study

2020 ◽  
Author(s):  
Xia Sun ◽  
Liping Chen ◽  
Rongzhen Wu ◽  
Dan Zhang ◽  
Yinhui He
Keyword(s):  
Body Fat ◽  
Visceral Fat ◽  
Fat Content ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Body Fat Content ◽  
Male Patients ◽  
The Relationship ◽  
Visceral Fat Content

Abstract Background: This study compared the relationship between thyroid hormones and lipid metabolism/body fat content in euthyroid male patients with type 2 diabetes mellitus (T2DM) in China. Methods: A total of 64 male patients who were diagnosed as T2DM and 64 non-diabetic males who underwent health examination were matched according to age at a 1:1 ratio. Results: The 32 subjects in each sub-group showed differences in age, body mass index (BMI), mean arterial pressure, waist circumference, visceral fat content, body fat percentage, HbA1c, HOMA-IR, FT3, TSH, HDL-c, adiponectin, leptin, visfatin and TNF-α (all P < 0.05). In the overall population, FT3 was positively correlated with body fat percentage (r=0.21, P=0.02), and negatively correlated with HOMA-IR (r=-0.18, P=0.04) and visfatin (r=-0.47, P <0.01); TSH was positively correlated with body fat percentage (r=0.23, P=0.01). In the T2DM-OB group FT3 was positively correlated with BMI (r=0.45, P <0.05), visceral fat content (r=0.50, P <0.05), and body fat percentage (r=0.44, P <0.05); FT4 was positively correlated with visceral fat content (r=0.38, P <0.05); and TSH was positively correlated with HOMA-IR (r=0.39, P <0.05). Conclusion: TSH increased in obese people and FT3 was lower in patients with T2DM.

Variation in the Level of Thyroid Markers in Association with Inflammation in Patients with Type 2 Diabetes

2020 ◽  
Vol 20 (6) ◽  
pp. 924-929
Author(s):  
Khalid Siddiqui ◽  
Teena P. George ◽  
Salini Scaria Joy ◽  
Muhammad Mujammami
Keyword(s):  
Type 2 Diabetes ◽  
Glucose Metabolism ◽  
Thyroid Hormones ◽  
Inflammatory Markers ◽  
Inflammatory Marker ◽  
Serum Levels ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Tnf Α

Background: A possible relationship between thyroid hormones and glucose metabolism in diabetes has already been established. Objectives: We aimed to evaluate the thyroid function markers and their relationship with inflammation, which is considered as a pathogenic condition of diabetes. Methods: This cross-sectional study included 276 patients with type 2 diabetes. Serum levels of thyroid (TSH, FT4, and FT3) and inflammatory markers (CRP, IL-6, and TNF-α) were measured. Results: The mean age of the subjects was 55.2 years and mean diabetes duration of 16.8 years. The inflammatory markers showed significant differences with the tertiles of TSH and thyroid hormones. TSH was significantly correlated with inflammatory markers, IL-6 (r = 0.13, P = 0.020) and TNF-α (r = 0.17, P = 0.003), while FT4 had a correlation only with TNF-α (r = 0.25, P = <0.001). FT3 was negatively correlated with inflammatory marker IL-6 (r = -0.14, P = 0.020), HbA1c (r = -0.12, P = 0 .040), and HOMA-IR (r = -0.17, P = 0.010). Conclusion: Abnormalities in the thyroid hormone metabolism are related to the increased inflammatory activity as well as insulin resistance, and are associated with the disorders of glucose metabolism.

A cross-sectional study of biomarkers of exposure and effect in smokers and moist snuff consumers

2016 ◽  
Vol 54 (4) ◽  
Author(s):  
G.L. Prasad ◽  
Bobbette A. Jones ◽  
Peter Chen ◽  
Evan O. Gregg
Keyword(s):  
Oxidative Stress ◽  
Lipid Metabolism ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Epidemiological Data ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Tobacco Products ◽  
Biomarkers Of Exposure ◽  
Moist Snuff

AbstractCigarette smoking is a major risk factor for several chronic diseases. Epidemiological data indicate the use of smokeless tobacco (ST) is associated with significantly lower risk for smoking-related diseases compared to cigarettes. Several biomarkers of exposure (BioExp) and effect (BioEff) associated with smoking and use of moist snuff (ST) were evaluated.A single site, cross-sectional clinical study enrolled three groups of generally healthy male smokers (SMK), moist snuff consumers (MSC), and non-tobacco consumers (NTC), and several BioExp and BioEff were evaluated.Blood and urinary BioExp, including total nicotine equivalents and tobacco-specific nitrosamines, were higher in MSC compared to SMK. Biomarkers of combustion-related toxicants and cadmium were elevated in SMK. Elevated levels of some BioEff associated with oxidative stress (urinary isoprostanes and leukotriene E4), inflammation (white blood cell count), platelet activation (thromboxane metabolites), and lipid metabolism (apolipoprotein B100 and oxidized low-density lipoprotein) were observed in SMK relative to NTC and MSC (all p<0.05). The non-smoking groups (MSC and NTC) showed similar levels of combustion-related BioExp and BioEff.Higher levels of exposure to nicotine and some N′-nitrosamines may be observed in MSC, and SMK are exposed to higher levels of combustion-related toxicants. Changes in BioEff consistent with some aspects of inflammation, oxidative stress, and altered lipid metabolism were detected in SMK compared to the non-smoking groups. The biomarker data further improve our understanding of pathophysiological changes and the risk continuum associated with various tobacco products, and could be useful components of future assessments of tobacco products.

scholarly journals An Association between Diet and MC4R Genetic Polymorphism, in Relation to Obesity and Metabolic Parameters—A Cross Sectional Population-Based Study

2021 ◽  
Vol 22 (21) ◽  
pp. 12044
Author(s):  
Edyta Adamska-Patruno ◽  
Witold Bauer ◽  
Dorota Bielska ◽  
Joanna Fiedorczuk ◽  
Monika Moroz ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Body Fat ◽  
Fasting Blood Glucose ◽  
Fat Content ◽  
Dietary Factors ◽  
Metabolic Parameters ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Metabolic Complications ◽  
Body Fat Content

The melanocortin-4 receptor (MC4R) gene harbours one of the strongest susceptibility loci for obesity and obesity-related metabolic consequences. We analysed whether dietary factors may attenuate the associations between MC4R genotypes and obesity and metabolic parameters. In 819 participants genotyped for common MC4R polymorphisms (rs17782313, rs12970134, rs633265, and rs135034), the anthropometric measurements, body fat content and distribution (visceral and subcutaneous adipose tissue, VAT and SAT, respectively), and blood glucose, insulin, total-, LDL-, HDL-cholesterol, triglycerides concentrations, and daily macronutrient intake were assessed. ANOVA or Kruskal–Wallis tests were used, and multivariate linear regression models were developed. We observed that the CC genotype carriers (rs17782313) presented higher VAT, VAT/SAT ratio, fasting blood glucose and triglyceride concentrations when they were stratified to the upper quantiles of protein intake. An increase in energy derived from proteins was associated with higher BMI (Est. 5.74, R2 = 0.12), body fat content (Est. 8.44, R2 = 0.82), VAT (Est. 32.59, R2 = 0.06), and VAT/SAT ratio (Est. 0.96, R2 = 0.05). The AA genotype carriers (rs12970134) presented higher BMI, body fat, SAT and VAT, fasting blood glucose, triglycerides and total cholesterol concentrations. An increase in energy derived from proteins by AA carriers was associated with higher VAT (Est.19.95, R2 = 0.06) and VAT/SAT ratio (Est. 0.64, R2 = 0.05). Our findings suggest that associations of the common MC4R SNPs with obesity and its metabolic complications may be dependent on the daily dietary intake, which may open new areas for developing personalised diets for preventing and treating obesity and obesity-related comorbidities.

scholarly journals Biomarkers of lipid metabolism in patients with juvenile idiopathic arthritis: relationship with disease subtype and inflammatory activity

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Wellington Douglas Rocha Rodrigues ◽  
Roseli Oselka Saccardo Sarni ◽  
Fernando Luiz Affonso Fonseca ◽  
Annelyse Araújo ◽  
Claudio Arnaldo Len ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Lipid Profile ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Apo B ◽  
Systemic Jia ◽  
Disease Subtype ◽  
Low Hdl

Abstract Background To describe the biomarkers of lipid metabolism in children and adolescents with polyarticular and systemic JIA and to relate them to diseases subtypes, diseases activity markers, and nutritional status. Methods A cross-sectional study including 62 JIA patients was performed. The following variables were evaluated: disease activity and medications used, body mass index, height for age (z-score), skin folds (bicipital, tricipital, subscapular and suprailiac), food intake based on three 24-h food recalls, lipid profile (total cholesterol (CT), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides (TG) and non-HDL (N-HDLc), glycemia and insulin, erythrocyte sedimentation rate (ESR), ultrasensitive C-reactive protein (us-CRP) and apolipoproteins A-I and B (Apo A-I and Apo B). Results Dyslipidemia was observed in 83.3% of the patients. Based on classical lipid profile, low HDL-c levels was the most frequently alteration observed. Inadequate levels of LDL-c, Apo B and NHDL-c were significantly more frequent in the systemic JIA subtype when compared to the polyarticular subtype (p = 0.017, 0.001 and 0.042 respectively). Patients on biological therapy had a better adequacy of Apo A-I concentrations. The ESR showed a negative correlation with Apo A-I level (r = − 0.25, p = 0.047). Conclusion We concluded that dyslipidemia is common in patients with JIA, especially in systemic subtype. The systemic subtype and an elevated ESR were associated with lower concentrations of Apo A-I, suggesting the participation of the inflammatory process.

Effects of Cricket Extract on Lipid Metabolism and Body Fat Content in High- Fat Diet Fed Rats

2004 ◽  
Vol 34 (4) ◽  
pp. 305-309 ◽  
Author(s):  
Seock-Yeon HWANG ◽  
Jong-Bae PARK ◽  
Jikhyon HAN ◽  
Dong-Hwan SEO ◽  
Sang-Kyun KOH ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Body Fat ◽  
High Fat Diet ◽  
Fat Content ◽  
High Fat ◽  
Body Fat Content

scholarly journals Biomarkers of lipid metabolism in patients with juvenile idiopathic arthritis: relationship with subtype and inflammatory activity

2020 ◽  
Author(s):  
Wellington Douglas Rocha Rodrigues ◽  
Roseli Oselka Saccardo Sarni ◽  
Fernando Luiz Affonso Fonseca ◽  
Annelyse Araujo ◽  
Claudi Arnaldo Len ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Lipid Profile ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Apo B ◽  
Systemic Jia ◽  
Low Hdl ◽  
Food Recalls

Abstract Background: To describe the biomarkers of lipid metabolism in children and adolescents with polyarticular and systemic JIA and to relate them to diseases subtypes, diseases activity markers, and nutritional status. Methods: A cross-sectional study including 62 JIA patients was performed. The following variables were evaluated: disease activity and medications used, body mass index, height for age (z-score), skin folds (bicipital, tricipital, subscapular and suprailiac), food intake based on three 24-hour food recalls, lipid profile (total cholesterol (CT), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides (TG) and non-HDL (N-HDLc), glycemia and insulin, erythrocyte sedimentation rate (ESR), ultrasensitive C-reactive protein (us-CRP) and apolipoproteins A-I and B (Apo A-I and Apo B).Results: Dyslipidemia was observed in 83.3% of the patients. Based on classical lipid profile, low HDL-c levels was the most frequently alteration observed. Inadequate levels of LDL-c, Apo B and NHDL-c were significantly more frequent in the systemic JIA subtype when compared to the polyarticular subtype (p = 0.017, 0.001 and 0.042 respectively). Patients on biological therapy had a better adequacy of Apo A-I concentrations. The ESR showed a negative correlation with Apo A-I level (r = -0.25, p = 0.047).Conclusion: We concluded that dyslipidemia is common in patients with JIA, especially in systemic subtype. The systemic subtype and an elevated ESR were associated with lower concentrations of Apo A-I, suggesting the participation of the inflammatory process.

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