Association of systemic inflammatory indices with anthropometric measures, metabolic factors, and liver function in non-alcoholic fatty liver disease.

The present cross-sectional study aimed to explore the relationship between systemic inflammatory indices (SIIs) and anthropometric measures, metabolic, and liver function biomarkers in patients with non-alcoholic fatty liver disease (NAFLD). This study was carried out on 238 NAFLD patients with overweight or obesity, aged 18-55 years. Anthropometric measurements were done and body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were estimated. Metabolic factors including serum glucose, lipid profile, liver function biomarkers, and complete blood cell count were assessed after a 24-h fasting state. SIIs including the ratios of neutrophil to lymphocyte (NLR), monocytes to lymphocyte (MLR), platelet to lymphocyte (PLR), and monocytes to high-density lipoprotein cholesterol (MHR) were calculated. Results indicate that apart from PLR, all of the SIIs significantly changed by increasing steatosis severity (all p < 0.05). Moreover, changes in NLR showed a significant association with anthropometric indices including waist circumference (p = 0.032), BMI (p = 0.047), and WHtR (p = 0.002), as well as levels of fasting blood sugar (p = 0.045), triglycerides, (p = 0.025) and low-density lipoprotein cholesterol (p = 0.006). The findings also indicate the relations between lipid profile and all studied SIIs, notably MHR and MLR. All of the SIIs exhibited associations with some liver function indices as well. MHR was positively correlated with the metabolic risk factors of NAFLD while, oppositely, PLR was considered as a preventive marker of NAFLD.

Correlation of TyG-BMI and TyG-WC with severity and short-term outcome in new-onset acute ischemic stroke.

Objectives: To research the connection between the indexes of the indexes of triglyceride-glucose (TyG) combined with obesity indices and the initial neurological severity and short-term outcome of new-onset acute ischemic stroke. Methods: Data of patients with acute ischemic stroke admitted to the Stroke Ward of the Affiliated Hospital of Beihua University from November 2021 to October 2023, were collected. The two indexes were calculated by combining TyG and obesity indices: TyG-body mass index (TyG-BMI) and TyG-waist circumference (TyG-WC). The National Institute of Health Stroke Scale (NIHSS) was used to assess and group patients with neurological deficits within 24 hours of admission: mild stroke (NIHSS ≤5) and moderate-severe stroke (NIHSS >5). Short-term prognosis was evaluated using the modified Rankin Scale (mRS) at discharge or 14 days after onset of the disease and grouped: good outcome (mRS ≤2) and poor outcome (mRS >2). According to the quartiles of TyG-BMI and TyG-WC, the patients were placed into four groups: Q1, Q2, Q3 and Q4. Multi-factor logistic regression analysis was utilized to evaluate the correlation of TyG-BMI and TyG-WC with the severity and short-term outcome. Results: The study included 456 patients. After adjusting for multiple variables, the results showed that compared with the quartile 1, patients in quartile 4 of TyG-BMI had a reduced risk of moderate-severe stroke [Q4: OR: 0.407, 95%CI (0.185-0.894), P = 0.025]; Patients in quartiles 2, 3 and 4 of TyG-BMI had sequentially lower risk of short-term adverse outcomes [Q2: OR: 0.394, 95%CI (0.215-0.722), P = 0.003; Q3: OR: 0.324, 95%CI (0.163-0.642), P = 0.001; Q4: OR: 0.158, 95%CI (0.027-0.349), P <0.001]; Patients in quartiles 3 and 4 of TyG-WC had sequentially lower risk of moderate-severe stroke [Q3: OR: 0.355, 95%CI (0.173-0.728), P = 0.005; Q4: OR: 0.140, 95%CI (0.056-0.351), P <0.001]; Patients in quartiles 3 and 4 of TyG-WC had sequentially lower risk of short-term adverse outcomes [Q3: OR: 0.350, 95%CI (0.175-0.700), P = 0.003; Q4: OR: 0.178, 95%CI (0.071-0.451), P <0.001]. Conclusions: TyG-WC and TyG-BMI were correlated with the severity and short-term outcome of new-onset acute ischemic stroke. As TyG-WC and TyG-BMI increased, stroke severity decreased and short-term outcome was better.

Changes in the combination of the triglyceride-glucose index and obesity indicators estimate the risk of cardiovascular disease.

BACKGROUND: Cardiovascular disease (CVD) is closely associated with the triglyceride glucose (TyG) index and its related indicators, particularly its combination with obesity indices. However, there is limited research on the relationship between changes in TyG-related indices and CVD, as most studies have focused on baseline TyG-related indices. METHODS: The data for this prospective cohort study were obtained from the China Health and Retirement Longitudinal Study. The exposures were changes in TyG-related indices and cumulative TyG-related indices from 2012 to 2015. The K-means algorithm was used to classify changes in each TyG-related index into four classes (Class 1 to Class 4). Multivariate logistic regressions were used to evaluate the associations between the changes in TyG-related indices and the incidence of CVD. RESULTS: In total, 3243 participants were included in this study, of whom 1761 (54.4%) were female, with a mean age of 57.62 years at baseline. Over a 5-year follow-up, 637 (19.6%) participants developed CVD. Fully adjusted logistic regression analyses revealed significant positive associations between changes in TyG-related indices, cumulative TyG-related indices and the incidence of CVD. Among these changes in TyG-related indices, changes in TyG-waist circumference (WC) showed the strongest association with incident CVD. Compared to the participants in Class 1 of changes in TyG-WC, the odds ratio (OR) for participants in Class 2 was 1.41 (95% confidence interval (CI) 1.08-1.84), the OR for participants in Class 3 was 1.54 (95% CI 1.15-2.07), and the OR for participants in Class 4 was 1.94 (95% CI 1.34-2.80). Moreover, cumulative TyG-WC exhibited the strongest association with incident CVD among cumulative TyG-related indices. Compared to the participants in Quartile 1 of cumulative TyG-WC, the OR for participants in Quartile 2 was 1.33 (95% CI 1.00-1.76), the OR for participants in Quartile 3 was 1.46 (95% CI 1.09-1.96), and the OR for participants in Quartile 4 was 1.79 (95% CI 1.30-2.47). CONCLUSIONS: Changes in TyG-related indices are independently associated with the risk of CVD. Changes in TyG-WC are expected to become more effective indicators for identifying individuals at a heightened risk of CVD.

Association between the triglyceride-glucose index and subclinical left ventricular systolic dysfunction in obese patients.

BACKGROUND: The association between the triglyceride-glucose (TyG) index and subclinical left ventricular (LV) systolic dysfunction in obese patients remains unclear. This study aimed to investigate the relationship between the TyG index and LV global longitudinal strain (GLS) in obese patients. METHODS: A total of 1028 obese patients from January 2019 to January 2024 were included in the present study. Clinical parameters and biochemical and echocardiographic data were obtained from the participants. LV GLS was obtained from the GE EchoPAC workstation for evaluating subclinical LV function. The TyG index was calculated as Ln (fasting TG [mg/dL] × fasting glucose [mg/dL]/2). LV GLS was compared between obese patients with a high TyG index and those with a low TyG index. RESULTS: Obese patients with a high TyG index had greater incidences of hypertension, diabetes mellitus and hyperlipidaemia. The LV GLS was significantly lower in the high TyG index group than in the low TyG index group (P = 0.01). After adjusting for sex, age, body mass index, heart rate, hypertension, diabetes mellitus, dyslipidaemia, blood urea nitrogen, serum creatinine, LV mass and LV hypertrophy, the TyG index remained an independent risk indicator related to an LV GLS < 20% (OR: 1.520, 95% CI: 1.040 to 2.221; P = 0.031). CONCLUSIONS: We concluded that an increase in the TyG index is independently associated with subclinical LV systolic dysfunction in obese patients.

The chain-mediating effect of Crp, BMI on the relationship between dietary intake of live microbes and hyperlipidaemia.

BACKGROUND: Inflammation and obesity are the risk factors for hyperlipidaemia. Nonetheless, research regarding the association between dietary live microbes intake and hyperlipidaemia is lacking. Therefore, this study focused on revealing the relationship between them and mediating roles of inflammation and obesity. METHODS: Totally 16,677 subjects were enrolled from the National Health and Nutrition Examination Survey (NHANES) (1999-2010 and 2015-2020). To explore the correlation between live microbes and hyperlipidaemia as well as blood lipid levels, respectively, multiple logistic regression and linear regression were employed. Furthermore, the mediating roles of body mass index (BMI), C-reactive protein (Crp) and their chain effect were explored through mediating analysis. RESULTS: High dietary live microbes intake was the protective factor for hyperlipidaemia. In addition, high dietary live microbes intake exhibited a positive relationship to the high-density lipoprotein cholesterol (HDL-C) among males (ß = 2.52, 95% CI: 1.29, 3.76, P < 0.0001) and females (ß = 2.22, 95% CI: 1.05, 3.38, P < 0.001), but exhibited a negative correlation with triglyceride (TG) levels in males (ß = -7.37, 95% CI: -13.16, -1.59, P = 0.02) and low-density lipoprotein cholesterol (LDL-C) levels in females (ß = -2.75, 95% CI: -5.28, -0.21, P = 0.02). Crp, BMI and their chain effect mediated the relationship between live microbes with HDL-C levels. Moreover, BMI and the chain effect mediated the relationship between live microbes with LDL-C levels. CONCLUSION: Dietary live microbes intake is related to a lower hyperlipidaemia risk. Crp, BMI and their chain effect make a mediating impact on the relationship.

Effect of Salvia hispanica (Chia seeds) and Foeniculum vulgare (Fennel seeds) against weight-loss and lipid profile in obese human subjects.

Increased levels of bad cholesterol in the body result in increasing blood pressure and weight gain. The rate of mortality in people, especially who are obese, is increasing due to absence of organic sources of fiber in their diets. Chia and fennel seeds are rich sources of fiber. The objective of this study was to evaluate the combined effect of Salvia hispanica (Chia seeds) and Foeniculum vulgare (Fennel seeds) against weight-loss and lipid profile in obese human subjects. The research was conducted on obese people aged 25 to 40 years at the Jinnah Hospital Lahore. The study design was randomized control trial (RCT). The sample size was calculated and was divided in-to two groups. With the duration of study being 3 months, pre-testing of all the participants was done. Group 1 was control group, given placebo treatment and Group 2 was an intervention group and given chia and fennel seeds. Post-testing was done and data were analyzed. Results showed that chia and fennel seeds have significant effect (p <0.05) on BMI and lipid profile hence, both are beneficial for lowering body weight and improving LDL, HDL, serum triglycerides and total cholesterol levels.

A study of the relationship between serum asprosin levels and MAFLD in a population undergoing physical examination.

Asprosin, an adipokine, was recently discovered in 2016. Here, the correlation between asprosin and metabolic-associated fatty liver disease (MAFLD) was examined by quantitatively assessing hepatic steatosis using transient elastography and controlled attenuation parameter (CAP). According to body mass index (BMI), 1276 adult participants were enrolled and categorized into three groups: normal, overweight, and obese. The study collected and evaluated serum asprosin levels, general biochemical indices, liver stiffness measure, and CAP via statistical analysis. In both overweight and obese groups, serum asprosin and CAP were greater than in the normal group (p < 0.01). Each group showed a positive correlation of CAP with asprosin (p < 0.01). The normal group demonstrated a significant and independent positive relationship of CAP with BMI, low-density lipoprotein cholesterol (LDL-C), asprosin, waist circumference (WC), and triglycerides (TG; p < 0.05). CAP showed an independent positive association (p < 0.05) with BMI, WC, asprosin, fasting blood glucose (FBG), and TG in the overweight group, and with high-density lipoprotein cholesterol (HDL-C) showed an independent negative link (p < 0.01). CAP showed an independent positive relationship (p < 0.05) with BMI, WC, asprosin, TG, LDL-C, FBG, glycated hemoglobin A1c (HbA1c), and alanine transferase in the obese group. CAP also showed an independent positive link (p < 0.01) with BMI, WC, asprosin, TG, LDL-C, and FBG in all participants while independently and negatively correlated (p < 0.01) with HDL-C. Since asprosin and MAFLD are closely related and asprosin is an independent CAP effector, it may offer a novel treatment option for metabolic diseases and MAFLD.

Associated lifestyle factors of elevated plasma aldosterone concentration in community population, gender-stratified analysis of a cross-sectional survey.

BACKGROUND: Aldosterone plays important parts in development of cardio-metabolic diseases as end product of renin-angiotensin-aldosterone system. However, factors elevating circulating aldosterone are not clear, and lifestyle-related factors are suggested to be involved, whereas less studied. Therefore, we aimed to explore the association of lifestyle factors with plasma aldosterone concentration (PAC) in community population. METHODS: In this cross-sectional study, we recruited participants using multistage random sampling from Emin China in 2019, and collected data and fasting blood samples. The considered lifestyle factors included obesity parameters (neck circumference, abdominal circumference), alcohol consumption, blood pressure (BP), physical activity, sleep duration, sleep quality, mental state (depression and anxiety), fasting blood glucose (FBG), and lipid profiles (total cholesterol and triglyceride). PAC was measured using radioimmunoassay. We performed sex-stratified linear and logistic regressions to explore associated factors of PAC. Component analysis was further performed to identify the main factors affecting PAC. RESULTS: Twenty-seven thousand four hundred thirty-six participants with 47.1% men were included. Obesity parameters (neck circumference, abdominal circumference), glucose metabolism (FBG), psychological status (anxiety status in men and women, depression status in men), BP, liver function (in men), lipid metabolism (TC and TG in men), sleep parameters (sleep quality in women), and renal function (in women) are the main factors associated with elevated PAC. CONCLUSION: lower physical activity, alcohol consumption, higher BP, fat accumulation, dyslipidemia, higher fasting blood glucose, and presence of depression and anxiety were the main factors associated with eleveated PAC.

Are resting metabolic rate and clinical symptoms affected by variation of serum thyroid stimulating hormone levels within the normal range in healthy and women with hypothyroidism? A case-control study.

BACKGROUND: It is unclear whether variation in thyroid stimulating hormone (TSH) levels within the reference range affect energy expenditure and clinical symptoms and even within the normal range of TSH levels, resting energy expenditure may alter. The aim of the present study was to determine whether treated hypothyroid subjects and healthy subjects with a low-normal TSH range (0.3-2.3 mIU/L) have better clinical outcomes and increased energy expenditure than those with a high-normal TSH range (2.3-4.3 mIU/L). METHODS: This was a case-control study of 160 overweight/obese women with TSH levels across the reference range of 0.3-4.3 mU/l. Subjects were paired in four groups: healthy subjects with low-normal target TSH (n = 40), healthy subjects with high-normal target TSH (n = 40), subjects with treated hypothyroidism with low-normal target TSH (n = 40), and subjects with treated hypothyroidism with high-normal target TSH (n = 40). Resting energy expenditure (RMR), dietary intake, body composition, physical activity, and biochemical markers were assessed. RESULTS: Subjects with low-normal (≤2.3 mU/L) and high-normal (>2.3 mU/L) TSH levels did not differ in terms of RMR, serum T3 levels, and clinical symptoms except fatigue (P = 0.013). However, serum fT4 levels were found to be significantly different between the study groups (P = 0.002). Serum fT4 concentration was the highest in subjects with treated hypothyroidism with low-normal target TSH. CONCLUSION: Variation in serum TSH levels within the reference range did not significantly affect REE and clinical symptoms except fatigue in healthy and women with hypothyroidism.

Effects of gender-affirming hormone therapy on body fat: a retrospective case‒control study in Chinese transwomen.

BACKGROUND: There is insufficient research on how gender-affirming hormone therapy (GAHT) affects body fat modifications in transwomen from China. It is unclear whether hormone therapy affects the prevalence of obesity and blood lipid levels within this population. The current research aimed to assess how GAHT and treatment duration had an impact on the change in and redistribution of body fat in Chinese transwomen. METHODS: This study included 40 transwomen who had not received GAHT and 59 who had. Body fat, blood lipid, and blood glucose levels were measured. GAHT is mainly a pharmacologic (estrogen and anti-androgen) treatment. The study also stratified participants based on the duration of GAHT to assess its impact on body fat distribution. The duration of GAHT was within one year, one to two years, two to three years, or more than three years. RESULTS: After receiving GAHT, total body fat increased by 19.65%, and the percentage of body fat increased by 17.63%. The arm, corrected leg, and leg regions showed significant increases in fat content (+ 24.02%, + 50.69%, and + 41.47%, respectively) and percentage (+ 25.19%, + 34.90%, and + 30.39%, respectively). The total visceral fat content decreased (-37.49%). Based on the diagnostic standards for a body mass index ≥ 28 or total body fat percentage ≥ 25% or 30%, the chance of developing obesity did not change significantly. Blood glucose levels significantly increased (+ 12.31%). Total cholesterol levels (-10.45%) decreased significantly. Fat changes in those who received GAHT for one to two years were significantly different from those who did not receive GAHT. CONCLUSION: After receiving GAHT, total body fat and regional fat increased in Chinese transwomen, and the body fat distribution changed from masculine to feminine, especially during the first two years. However, neither the increase in total body fat percentage nor the decrease in visceral fat content didn't bring about significant changes in the incidence of obesity, nor did triglycerides or low-density lipoprotein-cholesterol.

Correlation between triglyceride glucose-body mass index and hypertension risk: evidence from a cross-sectional study with 60,283 adults in eastern China.

BACKGROUND: Insulin resistance (IR) and obesity are established risk factors for hypertension, with triglyceride-glucose (TyG) serving as a recognized surrogate marker for IR. The aim of this study was to investigate the association between TyG-BMI and hypertension in the general population. METHODS: A total of 60,283 adults aged ≥18 years who underwent face-to-face questionnaires, anthropometric measurements, and laboratory examination were included in this study. Multivariable logistic regression models and receiver operating characteristic curve (ROC) were used to determine the association between TyG-BMI and hypertension. The restricted cubic spline model was used for the dose-response analysis. RESULTS: After fully adjusting for confounding variables, multivariate logistic regression model showed a stable positive association between TyG-BMI and hypertension (OR: 1.61 per SD increase; 95% CI: 1.55-1.67; P-trend < 0.001). The multivariate adjusted OR and 95% CI for the highest TyG-BMI quartile compared with the lowest quartile were 2.52 (95% CI 2.28-2.78). Dose-response analysis using restricted cubic spline confirmed that the association between TyG-BMI index and hypertension was linear. Subgroup analyses showed that stronger associations between TyG-BMI index and hypertension were detected in young and middle-aged individuals (P for interaction < 0.05). ROC analysis showed that TyG-BMI index could better predict the risk of hypertension than other parameters (TyG-BMI cut-off value: 207.105, AUC: 0.719, sensitivity 65.5%, specificity 66.8%), particularly among young and middle-aged people. CONCLUSION: The TyG-BMI index was independently associated with hypertension in the study population. Further studies are required to confirm this relationship.

Free sugar intake is associated with reduced proportion of circulating invariant natural killer T cells among women experiencing overweight and obesity.

Background: Higher prevalence of obesity has been observed among women compared to men, which can be explained partly by the higher consumption of sweets and physical inactivity. Obesity can alter immune cell infiltration, and therefore increase the susceptibility to develop chronic inflammation and metabolic disorders. In this study, we aimed to explore the association between free sugar intake and other unhealthy lifestyle habits in relation to the proportion of circulating iNKT cells among women with healthy weight and women experiencing overweight and obesity. Methods: A cross-sectional study was conducted on 51 Saudi women > 18 years, wherein their daily free sugar intake was assessed using the validated Food Frequency Questionnaire. Data on smoking status, physical activity, and supplement use were also collected. Anthropometric data including height, weight, waist circumference were objectively measured from each participants. The proportion of circulating iNKT cells was determined using flow cytometry. Results: Smoking, physical activity, supplement use, and weight status were not associated with proportion of circulating iNKT cells. Significant association was found between proportion of circulating iNKT cells and total free sugar intake and free sugar intake coming from solid food sources only among women experiencing overweight and obesity (Beta: -0.10: Standard Error: 0.04 [95% Confidence Interval: -0.18 to -0.01], p= 0.034) and (Beta: -0.15: Standard Error: 0.05 [95% Confidence Interval: -0.25 to -0.05], p= 0.005), respectively. Conclusion: Excessive free sugar consumption may alter iNKT cells and consequently increase the risk for chronic inflammation and metabolic disorders.

The Association between Body Mass Index and Glycohemoglobin (HbA1c) in the US Population's Diabetes Status.

Obesity, indicated by Body Mass Index (BMI), is a risk factor for type 2 diabetes. However, its association with glycated hemoglobin (HbA1c), a crucial indicator of blood-sugar control, may vary across different populations and disease statuses. Data from the National Health and Nutrition Examination Survey (NHANES) 2017-2018 were analyzed. Participants aged 18-79 years with complete information on BMI, diabetes status, and HbA1c were included (n = 4003). Linear regression models were used to assess the association between BMI and HbA1c, adjusting for demographic confounders, smoking status, alcohol consumption, and healthcare access. Among participants without diabetes, BMI was positively associated with HbA1c levels (coefficient: 0.015, 95% CI: 0.01, 0.02; p-value < 0.05), after adjusting for potential confounders. However, this association was not significant among those with diabetes (coefficient: -0.005, 95% CI: -0.05, 0.04; p-value > 0.1). Our findings suggest a differential relationship between BMI and HbA1c in individuals with and without diabetes. While BMI remains a significant predictor of HbA1c in non-diabetic individuals, its significance diminishes in those with diabetes.

Evaluating the impact of exercise on intermediate disease markers in overweight and obese individuals through a network meta-analysis of randomized controlled trials.

The aim of this study is to investigate the impact of exercise on intermediate disease markers in populations with overweight and obesity, providing evidence-based recommendations for clinicians to utilize these markers in developing exercise prescriptions for this group. The study was conducted by retrieving data from PubMed, Embase, Cochrane Library, Web of Science, and CNKI and only including Randomized Controlled Trials (RCTs) to examine the effect of different exercise interventions on intermediate disease markers in overweight and obese people. The quality of the included studies was evaluated using the Cochrane Bias Risk Assessment tool and the data was analyzed using Stata 15.1 data analysis software. The RCTs were collected from January 2017 to March 2024. A total of 56 RCTs were included and the results of 10 outcomes were analyzed using random effects meta-analysis. The total sample size used in the study was 3193 The results showed that resistance training significantly reduced total cholesterol (SUCRA: 99.9%), triglycerides (SUCRA: 100.0%), low-density lipoprotein (SUCRA: 100.0%), systolic pressure (SUCRA: 92.5%), and increased high-density lipoprotein (SUCRA: 100.0%). Aerobic exercise significantly reduced insulin (SUCRA: 89.1%) and HbA1c (SUCRA: 95.3%). Concurrent training significantly reduced HOMA-IR (SUCRA: 93.8%), diastolic blood pressure (SUCRA: 71.2%) and Glucose (SUCRA: 87.6%). Exercise has a significant impact on intermediate disease markers in populations with overweight and obese. Compared with no exercise, exercise lowers total cholesterol, triglycerides, LDL, systolic blood pressure, diastolic blood pressure, HOMA-IR, insulin, and HbA1c, and increases HDL in people with overweight and obese. These findings provide evidence-based recommendations for exercise interventions aimed at weight reduction and the prevention of chronic diseases in individuals with overweight and obese.

[The influence of diet therapy and regular physical trainings on monocyte chemoattractant protein-1 (MCP-1) secretion by monocytes among obese patients with coronary heart disease].

Chronic systemic inflammation is one of the leading pathogenetic pathways for the development of atherosclerosis in obese patients. In this regard, it seems promising to evaluate the effect of the diet and physical exertion on the proinflammatory activity of monocytes. The purpose of this research was to evaluate the effect of the diet and regular physical trainings on the secretion of monocyte chemotactic factor 1 (MCP-1) by monocytes in obese patients with coronary artery disease. Material and methods. 27 obese participants (body mass index >30 kg/m2) with a confirmed diagnosis of coronary heart disease were recruited. All participants were prescribed with 12 weeks of a specialized diet with a restriction of simple carbohydrates and salt, a 500-kcal daily energy deficit, and with inclusion of cruciferous (200 g per day), seasonal dark berries (70 g per day) and green tea (200 ml per day). The regular assisted physical trainings were also administered. The body composition, blood biochemical parameters and MCP-1 secretion rates in the primary culture of monocytes isolated from blood samples via the immunomagnetic separation method were assessed before and after the intervention. Results. As a result, after the 12-weeks intervention the reliable body weight loss (-4.0%), waist circumference (-4.2%), visceral fat (-5.4%), total cholesterol (-9.8%), LDL-cholesterol (-16.6%) and triglycerides (-26.0%), an improvement in the results of the 6-minute walk test (+10.33%) was achieved, as well as an LPS-stimulated monocytes secretion of MCP-1 decreased by 2.8 times (p=0.005). Conclusion. Overall, the results suggest that diet and regular physical activity in patients with obesity and coronary heart disease may decrease the functional "proinflammatory" activity of monocytes.

Optimal obesity- and lipid-related indices for predicting type 2 diabetes in middle-aged and elderly Chinese.

To investigate the screening and predicting functions of obesity- and lipid-related indices for type 2 diabetes (T2D) in middle-aged and elderly Chinese, as well as the ideal predicted cut-off value. This study's data comes from the 2011 China Health and Retirement Longitudinal Study (CHARLS). A cross-sectional study design was used to investigate the relationship of T2D and 13 obesity- and lipid-related indices, including body mass index (BMI), waist circumference (WC), waist-height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), lipid accumulation product (LAP), conicity index (CI), Chinese visceral adiposity index (CVAI), triglyceride- glucose index (TyG index) and its correlation index (TyG-BMI, TyG-WC, TyG-WHtR). The unadjusted and adjusted correlations between 13 indices and T2D were assessed using binary logistic regression analysis. The receiver operating characteristic curve (ROC) was used to determine the usefulness of anthropometric indices for screening for T2D and determining their cut­off value, sensitivity, specificity, and area under the curve (AUC). The study comprised 9488 people aged 45 years or above in total, of whom 4354 (45.89%) were males and 5134 (54.11%) were females. Among them were 716 male cases of T2D (16.44%) and 870 female cases of T2D (16.95%). A total of 13 obesity- and lipid-related indices were independently associated with T2D risk after adjusted for confounding factors (P < 0.05). According to ROC analysis, the TyG index was the best predictor of T2D among males (AUC = 0.780, 95% CI 0.761, 0.799) and females (AUC = 0.782, 95% CI 0.764, 0.799). The AUC values of the 13 indicators were higher than 0.5, indicating that they have predictive values for T2D in middle-aged and elderly Chinese. The 13 obesity- and lipid-related indices can predict the risk of T2D in middle­aged and elderly Chinese. Among 13 indicators, the TyG index is the best predictor of T2D in both males and females. TyG-WC, TyG-BMI, TyG-WHtR, LAP, and CVAI all outperformed BMI, WC, and WHtR in predicting T2D.

Association between serum vitamin A and body mass index in adolescents from NHANES 1999 to 2006.

Vitamin A plays a pivotal role in health, particularly in regulating fat metabolism. Despite its significance, research into the direct relationship between vitamin A levels and obesity, especially among adolescents, is sparse. This study aims to explore this association within the adolescent population in the United States. This cross-sectional study analyzed the National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2006, with 8218 participants. The levels of vitamin A in the serum were determined based on utilizing high-performance liquid chromatography with photodiode array detection. The relationship between serum vitamin A concentrations and body mass index (BMI) was evaluated using weighted multiple linear regression models, incorporating subgroup analyses by sex and race/ethnicity to provide nuanced insights. A positive correlation was observed between serum vitamin A levels and BMI, with BMI increasing progressively across vitamin A quartiles (P < 0.001). Using the lowest quartile of serum vitamin A as a reference, the BMI of the highest quartile of serum vitamin A was 1.236 times higher (95% CI 0.888, 1.585). Subgroup analyses revealed that this positive association persisted across different genders and racial/ethnic groups (P < 0.001). Notably, smooth curve fitting and saturation threshold analysis unveiled an inverted U-shaped relationship between serum vitamin A and BMI among female adolescents, non-Hispanic Whites, Mexican Americans, and other races/ethnicities groups. Our study substantiates the association between serum vitamin A levels and the risk of obesity/overweight status in adolescents. The findings suggest the potential serum vitamin A is an early biomarker for identifying obesity risk, although further studies are needed to determine to clarify its role as a contributing factor to obesity. This study contributes to the understanding of nutritional influences on adolescent obesity, highlighting the need for targeted interventions based on serum biomarkers.

Evaluation of mucin-1, nuclear factor κB, and hemoglobin A1c levels in obese and non-obese individuals.

OBJECTIVE: Obesity is a chronic multisystem disease associated with increased morbidity and mortality. Obesity, which is a complex, multifactorial, and heterogeneous condition, is thought to result from the interaction of environmental, physiological, and genetic factors. In this study, the relationship between serum levels of hemoglobin A1c, mucin-1, and nuclear factor κB in obese and healthy cohorts was evaluated along with biochemical and gene expressions and with demographic and clinical covariates, and their effects on obesity were evaluated. METHODS: This case-control study included a total of 80 individuals, 40 healthy controls and 40 obesity patients, consisting of female and male aged between 18 and 63 years. Hemoglobin A1c, mucin-1, and nuclear factor κB levels were determined by ELISA in serum samples obtained from patients. In addition, aspartate aminotransferase, alanine transaminase, low density lipoprotein, and glucose values were measured. The gene expressions of the same markers were analyzed by quantitative real-time polymerase chain reaction, and their regulation status was defined. RESULTS: Serum levels of hemoglobin A1c, mucin-1, and nuclear factor κB were found to be high in obese individuals (p<0.05). The gene expression of these serum markers was found to be upregulated. Of the anthropometric measurements, waist circumference and body mass index were correlated with both serum markers and gene expressions (p<0.05). CONCLUSION: In addition to the known association of hemoglobin A1c and nuclear factor κB with obesity, serum levels of mucin-1 as well as upregulation of genes point to its modifier effect on obesity. These parameters can be the powerful markers in the diagnosis of obesity.

SIRT1 Serum Concentrations in Lipodystrophic Syndromes.

Lipodystrophies (LDs) are rare, complex disorders of the adipose tissue characterized by selective fat loss, altered adipokine profile and metabolic impairment. Sirtuins (SIRTs) are class III NAD+-dependent histone deacetylases linked to fat metabolism. SIRT1 plays a critical role in metabolic health by deacetylating target proteins in tissue types including liver, muscle, and adipose. Circulating SIRT1 levels have been found to be reduced in obesity and increased in anorexia nervosa and patients experiencing weight loss. We evaluated circulating SIRT1 levels in relation to fat levels in 32 lipodystrophic patients affected by congenital or acquired LDs compared to non-LD subjects (24 with anorexia nervosa, 22 normal weight, and 24 with obesity). SIRT1 serum levels were higher in LDs than normal weight subjects (mean ± SEM 4.18 ± 0.48 vs. 2.59 ± 0.20 ng/mL) and subjects with obesity (1.7 ± 0.39 ng/mL), whereas they were close to those measured in anorexia nervosa (3.44 ± 0.46 ng/mL). Our findings show that within the LD group, there was no relationship between SIRT1 levels and the amount of body fat. The mechanisms responsible for secretion and regulation of SIRT1 in LD deserve further investigation.