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BackgroundSarcopenia is an age-related and skeletal muscle disorder involving the loss of muscle mass or strength, and physiological function. Although the diagnostic indicators used in the different guidelines are for muscle mass, strength and physical performance, there are currently no uniform diagnostic criteria. Therefore, we aimed to explore the relationship between a series of biomarkers with sarcopenia in southwest China.MethodsWe included 4302 patients from West China Health and Aging Trend (WCHAT) study. Sarcopenia was defined according to the Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment. Thyroxine、albumin、total protein、prealbumin、albumin to globulin ratio (A/G)、25(OH)VD、fasting insulin、adrenal cortisol、triglyceride、high-density lipoprotein、hemoglobin and aspartate aminotransferase to alanine aminotransferase ratio (AST/ALT) were measured. The receiver operating characteristic curves (ROC) were established to describe the predictive value for sarcopenia and we also used multivariate logistic regression analysis to identify risk factors of the disease.ResultsIn terms of protein state, patients with sarcopenia had lower value in total protein, albumin, prealbumin, A/G than the control (P

Background: Sarcopenia is an age-related and skeletal muscle disorder involving the loss of muscle mass or strength, and physiological function. Although the diagnostic indicators used in the different guidelines are for muscle mass, strength and physical performance, there are currently no uniform diagnostic criteria. Therefore, we aimed to explore the relationship between a series of biomarkers with sarcopenia in southwest China. Methods: We included 4302 patients from West China Health and Aging Trend (WCHAT) study. Sarcopenia was defined according to the Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment. Thyroxine、albumin、total protein、prealbumin、albumin to globulin ratio (A/G)、25(OH)VD、fasting insulin、adrenal cortisol、triglyceride、high-density lipoprotein、hemoglobin and aspartate aminotransferase to alanine aminotransferase ratio (AST/ALT) were measured. The receiver operating characteristic curves (ROC) were established to describe the predictive value for sarcopenia and we also used multivariate logistic regression analysis to identify risk factors of the disease. Results: In terms of protein state, patients with sarcopenia had lower value in total protein, albumin, prealbumin, A/G than the control (P <0.001). Patients had lower value in triglyceride but higher value in high-density lipoprotein compared with the healthy in the indicators of lipid metabolism (P <0.001). In the aspect of hormone state, patients had lower free triiodothyronine, fasting insulin but higher free tetraiodothyronine and adrenal cortisol than the healthy (P <0.001). The fasting insulin level (AUC=0.686) and the AST/ALT ratio (AUC=0.682) were the best predictors of sarcopenia among biomarkers. The diagnostic performance of fasting insulin combined with the AST/ALT ratio (AUC=0.720) is equal to multiple indicators (AUC=0.742). Conclusion: The fasting insulin combined with the AST/ALT ratio exhibits good diagnostic performance for sarcopenia. [ABSTRACT FROM AUTHOR]

Aims/hypothesis: Our aim was to explore metabolic pathways linking overnutrition in utero to development of adiposity in normal-weight children. Methods: We included 312 normal-weight youth exposed or unexposed to overnutrition in utero (maternal BMI ≥25 kg/m2 or gestational diabetes). Fasting insulin, glucose and body composition were measured at age ~10 years (baseline) and ~16 years (follow-up). We examined associations of overnutrition in utero with baseline fasting insulin, followed by associations of baseline fasting insulin with adiposity (BMI z score [BMIZ], subcutaneous adipose tissue [SAT], visceral adipose tissue [VAT]), insulin resistance (HOMA-IR) and fasting glucose during follow-up. Results: >All participants were normal weight at baseline (BMIZ −0.32 ± 0.88), with no difference in BMIZ for exposed vs unexposed youth (p = 0.14). Of the study population, 47.8% were female sex and 47.4% were of white ethnicity. Overnutrition in utero corresponded with 14% higher baseline fasting insulin (geometric mean ratio 1.14 [95% CI 1.01, 1.29]), even after controlling for VAT/SAT ratio. Higher baseline fasting insulin corresponded with higher BMIZ (0.41 [95% CI 0.26, 0.55]), SAT (13.9 [95% CI 2.4, 25.4] mm2), VAT (2.0 [95% CI 0.1, 3.8] mm2), HOMA-IR (0.87 [95% CI 0.68, 1.07]) and fasting glucose (0.23 [95% CI 0.09, 0.38] SD). Conclusions/interpretation: Overnutrition in utero may result in hyperinsulinaemia during childhood, preceding development of adiposity. However, our study started at age 10 years, so earlier metabolic changes in response to overnutrition were not taken into account. Longitudinal studies in normal-weight youth starting earlier in life, and with repeated measurements of body weight, fat distribution, insulin sensitivity, beta cell function and blood glucose levels, are needed to clarify the sequence of metabolic changes linking early-life exposures to adiposity and dysglycaemia. [ABSTRACT FROM AUTHOR]

While the co-morbidity between metabolic and psychiatric behaviors is well-established, the mechanisms are poorly understood, and exposure to early life adversity (ELA) is a common developmental risk factor. ELA is associated with altered insulin sensitivity and poor behavioral inhibition throughout life, which seems to contribute to the development of metabolic and psychiatric disturbances in the long term. We hypothesize that a genetic background associated with higher fasting insulin interacts with ELA to influence the development of executive functions (e.g., impulsivity in young children). We calculated the polygenic risk scores (PRSs) from the genome-wide association study (GWAS) of fasting insulin at different thresholds and identified the subset of single nucleotide polymorphisms (SNPs) that best predicted peripheral insulin levels in children from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort [N = 467; pt– initial = 0.24 (10,296 SNPs), pt– refined = 0.05 (57 SNPs)]. We then calculated the refined PRS (rPRS) for fasting insulin at this specific threshold in the children from the Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) cohort and investigated its interaction effect with adversity on an impulsivity task applied at 36 months. We found a significant effect of interaction between fasting insulin rPRS and adversity exposure predicting impulsivity measured by the Snack Delay Task at 36 months [β = −0.329, p = 0.024], such that higher PRS [β = −0.551, p = 0.009] was linked to more impulsivity in individuals exposed to more adversity. Enrichment analysis (MetaCoreTM) of the SNPs that compose the fasting insulin rPRS at this threshold was significant for certain nervous system development processes including dopamine D2 receptor signaling. Additional enrichment analysis (FUMA) of the genes mapped from the SNPs in the fasting insulin rPRS showed enrichment with the accelerated cognitive decline GWAS. Therefore, the genetic background associated with risk for adult higher fasting insulin moderates the impact of early adversity on childhood impulsivity.

While the co-morbidity between metabolic and psychiatric behaviors is well-established, the mechanisms are poorly understood, and exposure to early life adversity (ELA) is a common developmental risk factor. ELA is associated with altered insulin sensitivity and poor behavioral inhibition throughout life, which seems to contribute to the development of metabolic and psychiatric disturbances in the long term. We hypothesize that a genetic background associated with higher fasting insulin interacts with ELA to influence the development of executive functions (e.g., impulsivity in young children). We calculated the polygenic risk scores (PRSs) from the genome-wide association study (GWAS) of fasting insulin at different thresholds and identified the subset of single nucleotide polymorphisms (SNPs) that best predicted peripheral insulin levels in children from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort [ N = 467; p t – initial = 0.24 (10,296 SNPs), p t – refined = 0.05 (57 SNPs)]. We then calculated the refined PRS (rPRS) for fasting insulin at this specific threshold in the children from the Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) cohort and investigated its interaction effect with adversity on an impulsivity task applied at 36 months. We found a significant effect of interaction between fasting insulin rPRS and adversity exposure predicting impulsivity measured by the Snack Delay Task at 36 months [β = −0.329, p = 0.024], such that higher PRS [β = −0.551, p = 0.009] was linked to more impulsivity in individuals exposed to more adversity. Enrichment analysis (MetaCoreTM) of the SNPs that compose the fasting insulin rPRS at this threshold was significant for certain nervous system development processes including dopamine D2 receptor signaling. Additional enrichment analysis (FUMA) of the genes mapped from the SNPs in the fasting insulin rPRS showed enrichment with the accelerated cognitive decline GWAS. Therefore, the genetic background associated with risk for adult higher fasting insulin moderates the impact of early adversity on childhood impulsivity. [ABSTRACT FROM AUTHOR]

Background: Insulin resistance (IR) is the major underlying mechanism responsible for metabolic syndrome and HOMA-IR2 is a validated marker of IR. Fasting lipid profile, including triglyceride (TG) and high-density lipoprotein (HDL) cholesterol routinely feature in the outpatient investigation list. Utility of TG/HDL ratio as a surrogate marker for IR was thus studied in healthy young males. Materials and Methods: This cross-sectional study involved 71 young males aged 18–35 years who came for a routine health check in a fasting state. Height, weight, waist circumference were recorded. Fasting plasma glucose (FPG) and lipid profile reports were collected from the laboratory database. Fasting insulin (FI) was estimated by enzyme-linked immunosorbent assay. Body mass index (kg/m2), TG/HDL, TC/HDL, and HOMA-IR2 were calculated. Results: Mean TG/HDL ratio was 3.73 ± 2.03 and HOMA IR2 was above the standard cut off of ≥2.5 units. Subjects were further divided into two groups based on FPG values. TG, low-density lipoprotein, total cholesterol, TG/HDL, TC/HDL, FI and HOMA-IR2 were found to be higher in the pre-diabetes with impaired fasting glycemic subjects. Overall, a statistically significant positive correlation was seen (P = 0.01, r = 0.284) between TG/HDL and HOMA-IR2. Conclusion: TG/HDL ratio was significantly associated with IR and it could be used as an indicator of IR especially in prediabetic subjects having impaired fasting glucose. [ABSTRACT FROM AUTHOR]

Aims: This study aimed to examine the relationship between family history of type 2 diabetes and insulin activity in a diverse sample of normal weight children. Methods: Measures of fasting insulin, insulin sensitivity and acute insulin response to glucose (AIRg) were obtained from a multiethnic sample of normal weight children ages 7-12 years (n=199). Multiple linear regression was used to determine the effect of family history of type 2 diabetes on the variables of interest. All models were adjusted by age, sex, pubertal status, ethnicity, waist circumference and total grams of carbs. Results: Family history of type 2 diabetes was a significant predictor of fasting insulin (p=0.04). There were no significant differences in age, sex, ethnicity, BMI percentile, pubertal stage, or body composition between children with and without a family history of diabetes. Conclusions: Family history of diabetes is a significant predictor of fasting insulin in a cross-sectional group of children who are normal weight. These results contribute to the further understanding of the relationship between family history and type 2 diabetes risk, which could be utilized to develop earlier detection of dysglycemia and unique disease prevention strategies for at-risk children.

Summary: We performed a cross-sectional study using the National Health Examination and Nutrition Survey (NHANES) data and a Mendelian randomisation (MR) study using the GWAS summary statistics from European populations. The T2D-related indices (fasting plasma glucose (FPG), fasting insulin (FI), and insulin resistance (IR)) were found to associate with elevated bone mineral density (BMD). Introduction: The known associations amongst FPG, FI, IR, and BMD remain inconsistent. This study aims to explore the abovementioned associations by using cross-sectional and MR designs. Methods: Data from adults aged ≥ 20 years (n = 7170) in four rounds of the U.S. NHANES (2005–2010 and 2013–2014) were analysed in this cross-sectional study. Multiple linear and logistic regression models were used for statistical analyses. A two-sample MR study was performed using the genome-wide association study summary statistics obtained from the Meta-analyses of Glucose and Insulin-related traits Consortium (n = 108,557) and Genetic Factors for Osteoporosis Consortium (n = 32,735) to examine the causality of the FI–BMD association. Results: Multiple linear regression revealed that FPG was positively associated with the BMDs at the hip, femur neck, and 1st lumbar spine (L1). Multiple logistic regressions revealed that FPG levels were associated with elevated BMDs at the hip and L1, and FI and IR levels were associated with elevated BMD at the hip. Patients with type 2 diabetes had higher hip BMD than those without diabetes. In the MR study, the lumbar spine BMD increased by 0.49 g/cm2 (95% confidence interval: 0.01, 0.97) in response to per unit increase in log-transformed FI. Conclusion: Findings from our cross-sectional and MR studies revealed the associations between the studied diabetic indices and BMD measurements in the US and European adults. [ABSTRACT FROM AUTHOR]

Purpose: To examine the prospective relevance of dietary sugar intake (based on dietary data as well as urinary excretion data) in adolescent years for insulin sensitivity and biomarkers of inflammation in young adulthood.Methods: Overall 254 participants of the DONALD study who had at least two 3-day weighed dietary records for calculating intakes of fructose, glucose, sucrose, total, free, added sugars, total sugars from sugar-sweetened beverages (SSB), juice, and sweets/sugar or at least two complete 24 h urine samples (n = 221) for calculating sugar excretion (urinary fructose and urinary fructose + sucrose) in adolescence (females: 9–15 years, males: 10–16 years) and a fasting blood sample in adulthood (18–36 years), were included in multivariable linear regression analyses assessing their prospective associations with adult homeostasis model assessment insulin sensitivity (HOMA2-%S) and a pro-inflammatory score (based on CRP, IL-6, IL-18, leptin, chemerin, adiponectin).Results: On the dietary intake level, no prospective associations were observed between adolescent fructose, sucrose, glucose, added, free, total sugar, or total sugar from SSB, juice or sweets/sugar intake and adult HOMA2-%S (p > 0.01). On the urinary level, however, higher excreted fructose levels were associated with improved adult HOMA2-%S (p = 0.008) among females only. No associations were observed between dietary or urinary sugars and the adult pro-inflammatory score (p > 0.01).Conclusion: The present study did not provide support that dietary sugar consumed in adolescence is associated with adult insulin sensitivity. The one potential exception was the moderate dietary consumption of fructose, which showed a beneficial association with adult fasting insulin and insulin sensitivity.

BackgroundPrevious studies have found that women with polycystic ovary syndrome (PCOS) have some degree of brain function change as well as cognitive function and emotions, such as poor executive functioning and memory, anxiety and depressive symptoms. However, the neurobiological mechanisms underlying these alterations have not yet been clarified.MethodFasting serum hormone testing, neuropsychological testing and resting-state magnetic resonance imaging (rs-fMRI) were performed in 41 women with newly diagnosed PCOS and 41 healthy controls matched by age and education during their 2–5 days of menstrual period. Analysis of the amplitude of low-frequency fluctuation (ALFF) was used to calculate the seed points. Then, the functional connectivity (FC) values between these abnormal seed points and other voxels in the whole brain were calculated. Finally, the correlations among clinical indexes, neuropsychological evaluation scores, and neuroimaging data were analyzed.ResultsCompared with the control group, the PCOS group showed higher luteinizing hormone (LH) and serum insulin levels, worse sleep quality, increased depressive and anxiety state scores, and memory and executive function impairments. Pearson’s correlation analysis showed that the decreased ALFF value in the left middle frontal gyrus (MFG.L), which is related to poor executive performance and depressive disorders, was negatively correlated with the plasma insulin level in subjects with insulin resistance. Furthermore, the increased FC strength between the MFG.L and left inferior frontal gyrus (IFG.L) was positively correlated with the serum testosterone level. The enhanced FC strength between the left posterior cingulate gyrus (PCG.L) and triangular part of the left inferior frontal gyrus (IFGtriang.L) was negatively correlated with the plasma LH level. When use the right middle occipital gyrus (MOG.R) as the seed point, the FC strength with the right inferior occipital gyrus (IOG.R), which is associated with impaired memory, was decreased.ConclusionThe ALFF and FC results elucidated brain functional abnormalities at the regional and network levels in women with PCOS, while correlation analyses simultaneously demonstrated that these alterations were associated with serum hormones and cognitive function. These results may provide useful information regarding the potential mechanisms of cognitive impairment and emotional changes in this population.

Introduction: Insulin Resistance (IR) can develop into type 2 diabetes mellitus and is closely associated with obesity. However, the non-obese population has also shown a predisposition to the risk of IR due to genetics. Aim: To assess the relationship between IR and obesity in Type 2 Diabetes Mellitus (T2DM) by comparing the proportion of subjects with IR in lean and obese T2DM and to identify the factors predicting IR in T2DM. Materials and Methods: A cross-sectional, hospital-based study was done at Department of Medicine of RL Jalappa hospital, Kolar, Karnataka on 106 T2DM patients aged >18 years. The study population was grouped into lean (BMI30 kg/m2 ). IR was calculated using Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) and was considered as primary outcome variable. Obesity was considered as primary explanatory variable. Age, Gender, fasting insulin, C-peptide, Fasting Blood Sugar, Glycated haemoglobin (GHB or HbA1c) were the other explanatory variables. Descriptive analysis was carried out using mean and standard deviation for quantitative variables, frequency and proportion for categorical variables. Chi-square test was used to test statistical significance between the groups. Univariate logistic regression analysis was done to identify the predictors of IR. IBM Statistical Package for Social Sciences (SPSS) version 22 was used for statistical analysis. The p-value

Obesity refers to an excess of body fat content causing metabolic and inflammatory disorders. Therefore, the aim of the present study was to investigate dose-dependent effect of rosuvastatin on the metabolic profile of diet-induced obesity in mice model study. A total number of 40 male Albino Swiss mice were used which divided into Group I: Control group, fed normal diet for 8 weeks (n = 10); Group II: High-fat diet (HFD) group, fed on HFD for 8 weeks (n = 10); Group III: HFD + 20 mg/kg rosuvastatin for 8 weeks (n = 10); and Group IV: HFD +40 mg/kg rosuvastatin for 8 weeks (n = 10). Anthropometric and biochemical parameters were estimated, including fasting blood glucose, lipid profile, fasting insulin, and glucose tolerance test (GTT). Mice on HFD fed showed a significant increase in the insulin resistance, body weight, deterioration of lipid profile and significant reduction in the β-cell function, and insulin sensitivity compared to the control P < 0.05. GTT and blood glucose level were significantly high in HFD fed group compared to the control group P < 0.05. Rosuvastatin in a dose of 40 mg/kg illustrated better effect than 20 mg/kg on the glucometabolic profile P < 0.05. Rosuvastatin may has a potential effect on reduction of glucometabolic changes induced by HFD with significant amelioration of pancreatic β-cell function in dose-dependent manner.

Background: Previous studies have found that women with polycystic ovary syndrome (PCOS) have some degree of brain function change as well as cognitive function and emotions, such as poor executive functioning and memory, anxiety and depressive symptoms. However, the neurobiological mechanisms underlying these alterations have not yet been clarified. Method: Fasting serum hormone testing, neuropsychological testing and resting-state magnetic resonance imaging (rs-fMRI) were performed in 41 women with newly diagnosed PCOS and 41 healthy controls matched by age and education during their 2–5 days of menstrual period. Analysis of the amplitude of low-frequency fluctuation (ALFF) was used to calculate the seed points. Then, the functional connectivity (FC) values between these abnormal seed points and other voxels in the whole brain were calculated. Finally, the correlations among clinical indexes, neuropsychological evaluation scores, and neuroimaging data were analyzed. Results: Compared with the control group, the PCOS group showed higher luteinizing hormone (LH) and serum insulin levels, worse sleep quality, increased depressive and anxiety state scores, and memory and executive function impairments. Pearson's correlation analysis showed that the decreased ALFF value in the left middle frontal gyrus (MFG.L), which is related to poor executive performance and depressive disorders, was negatively correlated with the plasma insulin level in subjects with insulin resistance. Furthermore, the increased FC strength between the MFG.L and left inferior frontal gyrus (IFG.L) was positively correlated with the serum testosterone level. The enhanced FC strength between the left posterior cingulate gyrus (PCG.L) and triangular part of the left inferior frontal gyrus (IFGtriang.L) was negatively correlated with the plasma LH level. When use the right middle occipital gyrus (MOG.R) as the seed point, the FC strength with the right inferior occipital gyrus (IOG.R), which is associated with impaired memory, was decreased. Conclusion: The ALFF and FC results elucidated brain functional abnormalities at the regional and network levels in women with PCOS, while correlation analyses simultaneously demonstrated that these alterations were associated with serum hormones and cognitive function. These results may provide useful information regarding the potential mechanisms of cognitive impairment and emotional changes in this population. [ABSTRACT FROM AUTHOR]

Introduction: Insulin Resistance (IR) can develop into type 2 diabetes mellitus and is closely associated with obesity. However, the non-obese population has also shown a predisposition to the risk of IR due to genetics. Aim: To assess the relationship between IR and obesity in Type 2 Diabetes Mellitus (T2DM) by comparing the proportion of subjects with IR in lean and obese T2DM and to identify the factors predicting IR in T2DM. Materials and Methods: A cross-sectional, hospital-based study was done at Department of Medicine of RL Jalappa hospital, Kolar, Karnataka on 106 T2DM patients aged >18 years. The study population was grouped into lean (BMI<19kg/ m2 ) and obese adults (BMI >30 kg/m2 ). IR was calculated using Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) and was considered as primary outcome variable. Obesity was considered as primary explanatory variable. Age, Gender, fasting insulin, C-peptide, Fasting Blood Sugar, Glycated haemoglobin (GHB or HbA1c) were the other explanatory variables. Descriptive analysis was carried out using mean and standard deviation for quantitative variables, frequency and proportion for categorical variables. Chi-square test was used to test statistical significance between the groups. Univariate logistic regression analysis was done to identify the predictors of IR. IBM Statistical Package for Social Sciences (SPSS) version 22 was used for statistical analysis. The p-value <0.05 was considered to be statistically significant. Results: The 106 subjects involved in the study had a mean age of 53.88±9.21 years. 44 subjects (41.5%) had IR. Obese to lean diabetic patients were in the ratio of 1:4. The proportion of obese diabetic subjects was (n=84, 79.2%) whereas lean diabetics were (n=22, 20.8%). The proportion of obese diabetic subjects with IR was 38.1% while the proportion of lean diabetic subjects with IR was 54.55%, but this difference was statistically not significant (p=0.163). On univariate logistic regression analysis, fasting insulin (odds ratio of 2.442 with 95% CI of 1.665 to 3.851, p<0.001**) and C-peptide (odds ratio of 1.446 with 95% CI of 1.123, p=0.004) were statistically significant factors attributing to IR. Conclusion: There was no significant relationship between IR and obesity. IR was independently associated with Fasting insulin levels and C-peptide levels. [ABSTRACT FROM AUTHOR]

Background: Steroids induced diabetes (SID), may be due to either insulin resistance (IR) or beta cell dysfunction or combination of both. Several studies have established that these effects of steroids may be mediated by an osteoblast derived protein called osteocalcin (OC). However, this effect has been described only in diabetic patients and has not been studied in SID patients. Aim and study design: A prospective observational cohort study was designed to evaluate the correlation between serum OC level and blood glucose profile, in patients on steroids. Results: Out of a total of 88 subjects who were on steroid therapy, 42(47.7%) subjects had their blood sugar levels in the diabetic range. Based on the glycemic status, subjects were divided into three groups, namely, normoglycemic, pre-diabetes and diabetes. The patients who developed SID were older than normoglycemic (mean age 43.15 vs 39.27years). The age (r=-0.105 p=0.5), BMI (r=-0.3 p= 0.07) and abdominal obesity (r=-0.32 p=0.04) were negatively correlated with serum osteocalcin in diabetes group. Serum osteocalcin level decreased as dose of steroid increased in all three groups (normogylcemic r=-0.701 p=0.004 prediabetes r=-0.3 p=0.07 diabetes -0.362 p=0.04). Fasting plasma glucose (r=-0.319 p=0.04), Fasting insulin (r=-0.10 p=0.5) and IR (r=-0.194 p=0.212) were increased with decrease in OC in patients in diabetes group. Conclusion: Decrease in serum osteocalcin level with increase in glycemic parameters in steroid induced diabetes group, point to have a new role in mechanism of steroid induced diabetes. This may be a novel target to discover drugs that can maintain the OC levels so that the effect of steroids on blood sugar level can be minimised. [ABSTRACT FROM AUTHOR]

Purpose: We evaluated the associations between accelerometer-estimated physical activity (PA) intensity and heart rate variability (HRV) and examined mediation of these associations by glycemic control indices and other cardiovascular disease risk factors. Methods: Data were from 1668 participants (...age = 45.9 ± 3.5 yr, 58.0% female, 39.9% black) who participated in year 20 (2005-2006) of the Coronary Artery Risk Development in Young Adults Fitness Study. The ActiGraph 7164 estimated participants' mean minutes per day of vigorous-intensity PA (VPA), moderate-intensity PA (MPA), and light-intensity PA (LPA) over 7 d. Three sequential 10-s 12-lead ECG strips were used to derive standard deviation of all normal RR intervals (SDNN) and root mean square of all successive RR intervals (rMSSD) HRV. Mediators representing glycemic control indices included fasting glucose, fasting insulin, and 2-h oral glucose tolerance, with other mediators being traditional cardiovascular disease risk factors. Multiple linear regression assessed independent associations of PA intensity with HRV per 1-SD. Mediation analyses computed the proportion of the PA-HRV association attributable to physiological mediators. Results: Participants averaged 2.7 ± 6.2 min⋅d-1, 33.0 ± 22.0 min⋅d-1, and 360.2 ± 83.8 min⋅d-1 of VPA, MPA, and LPA, respectively, with mean values for SDNN (32.6 ± 22.4 ms) and rMSSD (34.0 ± 24.8 ms) similar. After adjustment for demographic and lifestyle behaviors, VPA was associated with both HRV metrics (SDNN: std beta = 0.06 [0.03, 0.10]; rMSSD: std beta = 0.08 [0.05, 0.12]) and LPA with rMSSD only (std beta = 0.05 [0.01, 0.08]). Fasting insulin and glucose mediated 11.6% to 20.7% of the association of VPA and LPA with HRV, with triglycerides also potentially mediating these associations (range, 9.6%-13.4%). Conclusions: Accelerometer-estimated VPA was associated with higher (i.e., improved) HRV. Light-intensity PA also demonstrated a positive association. Mediation analyses suggested these associations may be most attributable to glucose-insulin dynamics. [ABSTRACT FROM AUTHOR]

Resistin, an adipokine produced in fat tissue, may be linked to insulin resistance (IR) and type 2 diabetes. Previous data are controversial and have focused mainly on obese patients. We aimed to evaluate whether resistin plays a role in the development of IR in normal-weight individuals. The study involved 77 normal-weight participants. We defined IR using different indexes and cut-off points. Resistin, fasting insulin, glucose, and lipids concentrations and anthropometric parameters were measured. Serum resistin concentration was not associated with IR. Resistin concentration was weakly related to age in all insulin-sensitive groups and low-density lipoprotein cholesterol concentration in all IR groups. Moreover, a weak negative correlation between high-density lipoprotein cholesterol and resistin concentrations was observed in the IR group categorised by the 1.69 cut-off of the homeostasis model assessment of IR. The data suggest that resistin is not a useful marker for the prediction of IR in normal-weight individuals. [ABSTRACT FROM AUTHOR]

Abstract Background Fasting glucose and fasting insulin are glycemic traits closely related to diabetes, and understanding the role of genetic factors in these traits can help reveal the etiology of type 2 diabetes. Although single nucleotide polymorphisms (SNPs) in several candidate genes have been found to be associated with fasting glucose and fasting insulin, copy number variations (CNVs), which have been reported to be associated with several complex traits, have not been reported for association with these two traits. We aimed to identify CNVs associated with fasting glucose and fasting insulin. Results We conducted a genome-wide CNV association analysis for fasting plasma glucose (FPG) and fasting plasma insulin (FPI) using a family-based genome-wide association study sample from a Han Chinese population in Taiwan. A family-based CNV association test was developed in this study to identify common CNVs (i.e., CNVs with frequencies ≥ 5%), and a generalized estimating equation approach was used to test the associations between the traits and counts of global rare CNVs (i.e., CNVs with frequencies

Background & Aims: Hepatic fat content can be non-invasively estimated by controlled attenuation parameter (CAP) during transient elastography. The aim of this study was to examine the determinants and predictors of CAP values in individuals with metabolic dysfunction., Methods: We enrolled 1230 consecutive apparently healthy individuals (Liver-Bible-2022 cohort) with ≥3 metabolic dysfunction features. CAP was measured by Fibroscan. CAP determinants and predictors were identified using backward stepwise analysis and introduced in generalized linear models., Results: Participants were predominantly males (82.9%), mean age was 53.8 ± 6.4 years, 600 (48.8%) had steatosis (CAP ≥ 275 dB/m), and 27 had liver stiffness measurement (LSM) ≥ 8 kPa. CAP values correlated with LSM (p < 10 -22 ). In multivariable analysis, fasting insulin and abdominal circumference (AC) were the main determinants of CAP (p < 10 -6 ), together with body mass index (BMI; p < 10 -4 ), age, diabetes, triglycerides, ferritin, and lower HDL and thyroid stimulating hormone (TSH; p < 0.05 for all). In a subset of 592 participants with thyroid hormone measurement, we found an association between higher free triiodothyronine levels, correlating with lower TSH, and CAP values, independent of TSH and of levothyroxine treatment (p = 0.0025). A clinical CAP score based on age, BMI, AC, HbA1c, ALT, and HDL predicted CAP ≥ 275 dB/m with moderate accuracy (AUROC = 0.73), which was better than that of the Fatty Liver Index and of ALT (AUROC = 0.70/0.61, respectively) and validated it in multiple cohorts., Conclusion: Abdominal adiposity and insulin resistance severity were the main determinants of CAP in individuals with metabolic dysfunction and may improve steatotic liver disease risk stratification. CAP values were modulated by the hypophysis-thyroid axis., (© 2023 The Authors. United European Gastroenterology Journal published by Wiley Periodicals LLC on behalf of United European Gastroenterology.)

Aims: To explore the association of marijuana use with mean plasma fasting insulin levels and homeostasis model assessment of insulin resistance (HOMA-IR) score in obese adults with different HOMA-IR. Methods: The National Health and Nutrition Examination Survey (NHANES) is a survey research program designed to assess the health and nutrition status of individuals in the United States and to track changes over time. We abstracted data from NHANES 2009–2016. We estimated the minimal lifetime marijuana use (MLU) using the duration of regular exposure and the frequency of use. We assessed the association of MLU and both plasma fasting insulin and HOMA-IR score using log-linear regression models. Results: A total of 65,209 obese individuals aged 18 to 59 years were included. In obese individuals who never used marijuana (reference), the mean value (± standard deviation) was 19.0 (± 12.8) μU/mL for plasma fasting insulin and 4.78 (± 3.49) for HOMA-IR. In individuals with HOMA-IR < 2.13 or ≥ 5.72, we found no association of marijuana use with HOMA-IR. In those with HOMA-IR < 5.72, the highest tertile of MLU (i.e., ≥ 1799 times) was associated with 12% decrease (95% confidence intervals, 4–19%) in the fasting insulin and 10% decrease in HOMA-IR (95% CI 1–19%), as compared with their counterparts who never used marijuana. In those with HOMA-IR ≥ 2.13, we found a marked impact of marijuana use only in adults who used marijuana ≥ 1799 times, with 13% decrease (95% CI 5–19%) in fasting insulin and 10% decrease (95% CI 3–18%) in HOMA-IR score. Conclusions: Marijuana use is associated with reduced fasting insulin levels and HOMA-IR score in US obese adults with HOMA-IR ≥ 2.13, but not in those with HOMA-IR < 2.13 or ≥ 5.72. The impact of marijuana use is the greatest after long-term exposure and is independent of BMI. [ABSTRACT FROM AUTHOR]

AIMS AND OBJECTIVES: We aimed to explore whether fasting insulin levels correlate with the risk of hypoglycemia in people with Type 2 diabetes (T2D) receiving sulfonylureas (SUs). MATERIALS AND METHODS: Our study included 58 individuals with T2D who had been on treatment with SUs, but not insulin, for more than 2 years. Confirmed hypoglycemic episodes during the past year were self-reported by the patients, and a potential relationship of hypoglycemic event frequency with fasting insulin levels was investigated. RESULTS: Fasting insulin concentrations were found to have a low positive and statistically significant correlation with the number of cases of mild hypoglycemia per year (ρ = 0.279/P = 0.034) and a moderately positive and statistically significant correlation with the number of severe hypoglycemic events per month (ρ = 0.349/P = 0.007) and per year (ρ = 0.39/P = 0.002). CONCLUSION: Our results suggest that fasting insulin levels might be a predictor of the risk of hypoglycemia in people with T2D on treatment with SUs. [ABSTRACT FROM AUTHOR]

Background and Aims: Potential associations of vegetarian diet patterns with fasting insulin (FI) and insulin sensitivity remain unclear. We aimed to investigate whether vegetarian diets were associated with FI and insulin sensitivity in a cross-sectional study in Chinese vegetarians and matched omnivores and then to test whether it is independent of body mass index (BMI).Methods and Results: This study included 279 vegetarians (73 vegans, 206 lacto-ovo-vegetarians) and 279 age- and sex-matched omnivores. Fasting blood glucose (FG) and FI concentrations were measured, and β-cell function (HOMA-β) and insulin resistance index (HOMA-IR) were used to evaluate insulin sensitivity. All blood glucose and insulin sensitivity indices were naturally log-transformed, and multiple-linear regression was used to determine the association between vegetarian diet patterns and insulin sensitivity after adjusting for confounders including BMI, visceral fat area, physical activity, sedentary time, income, alcohol consumption, and daily dietary intakes of macronutrients. Compared to omnivores, both vegan diet [β = -0.25, 95% CI: (-0.38, -0.14)] and lacto-ovo-vegetarian diet [β = -0.10, 95% CI: (-0.18, -0.01)] were negatively associated with HOMA-IR after adjusting for BMI. Vegan diet remained negatively associated with FI [β = -0.16, 95% CI: (-0.30, -0.01)] and HOMA-IR [β = -0.17, 95% CI: (-0.32, -0.03)] after adjusting for all confounders.Conclusion: Vegetarian diet, especially vegan diet, is negatively associated with FI and IR, independent of BMI. [ABSTRACT FROM AUTHOR]

Background & Objectives: Obesity is associated with metabolic abnormalities such as insulin resistance. Weight loss is always recommended for meaningful reduction in these abnormalities. Therefore, we examined the effects of balanced low calorie diet on weight loss, fasting insulin and insulin resistance in obese women attending the nutrition clinic. Methods: In this clinical trial, forty five volunteer apparently healthy obese women (body mass index: 33.28 ± 2.90 kg/m2 and age: 28.40 ± 7.98 years) were recruited from the nutrition clinic in their first visit. The participants were received a balanced low calorie diet over 6 months after anthropometry measurement and blood sampling for determination of fasting insulin and insulin resistance level. Balanced low calorie diet was an individualized diet with an energy deficit of 500 calories of daily energy intake that was calculated from 3-day food records for every person. At 6 months after intervention, continuous and dichotomous variables were assessed using paired t-test and McNemar test, respectively. Results: The mean recommended energy intake was 2241.78 ± 219.02(kcal). After 6 months, there were significant reductions in body weight (p=0.003), body mass index (p=0.005), waist and hip circumferences (p

Background: Schizophrenia (SCZ) usually begins in early adult life. The underlying molecular mechanisms of SCZ remain unclear. There is evidence for the involvement of abnormalities in metabolic and endocrine systems in SCZ, even in drug-naïve first-episode schizophrenia patients (DNFES). However, the association between impaired regulation of glucose metabolism and sex hormones was not studied in SCZ. This study aimed to evaluate the interrelationship between sex hormones and high fasting glucose levels in male DNFES patients., Methods: A total of 99 patients with SCZ were recruited, and fasting glucose, fasting insulin, the insulin resistance index (HOMA-IR), and sex hormones were measured., Results: We found that some male patients with SCZ had abnormal levels in glucose metabolism parameters and gonadal hormones that were not within the normal range. Linear regression analysis adjusted for age, waist circumference, and body mass index showed that testosterone levels were negatively associated with fasting insulin in male patients (β = -0.21, t = -2.2, p = 0.03)., Conclusion: Our findings confirm the abnormalities in glucose metabolism parameters and gonadal hormones at the onset of the illness in male DNFES patients with SCZ. In addition, there was an interaction effect between abnormal glucose metabolism and sex hormones in male patients., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Metformin (MET), the most commonly used insulin sensitizer, is the reference off-label drug for the treatment of polycystic ovary syndrome (PCOS), worldwide. However, its use may be limited mainly by gastrointestinal adverse effects. Myo-inositol (MI), a well-recognized food supplement, also represents an evidence-based treatment for PCOS women, popular in many countries. Our aim is to provide a systematic review of the literature and a meta-analysis which compares these two treatments, for their short-term efficacy and safety in PCOS patients. Systematic review and meta-analysis of randomized clinical trials (RCTs). RCTs were identified from 1994 through 2017 using MEDLINE, Cochrane Library, PubMed, and ResearchGate. Included studies were limited to those one directly comparing MET to MI on several hormones changes. Standardized mean difference (SMD) or risk ratios (RRs) with 95% CIs were calculated. Changes in fasting insulin was the main outcome of measure. Six trials with a total of 355 patients were included. At the end of treatment, no difference between MET and MI was found on fasting insulin (SMD=0.08 µU/ml, 95% CI: −0.31-0.46, p=.697), HOMA index (SMD =0.17, 95% CI: −0.53-0.88, p=.635), testosterone (SMD= −0.01, 95% CI: −0.24-0.21, p=.922), SHBG levels (SMD= −0.50 nmol/l, 95% CI: −1.39-0.38, p=.263) and body mass index (BMI) (SMD= −0.22, 95% CI: −0.60-0.16, p=.265). There was strong evidence of an increased risk of adverse events among women receiving MET compared to those receiving MI (RR =5.17, 95% CI: 2.91-9.17, p<.001). No differences were found in the effect of MET and MI on short-term hormone changes. The better tolerability of MI makes it more acceptable for the recovery of androgenic and metabolic profile in PCOS women. [ABSTRACT FROM AUTHOR]

Abstract Background Insulin resistance is a determining factor in the pathophysiology of type 2 diabetes mellitus (T2DM). Exercise is known to improve insulin resistance, but a systematic review of the literature is lacking. Objective This systematic review and meta-analysis focused on identifying evidence for the effectiveness of a structured exercise intervention program for insulin resistance in T2DM. Methods We searched MEDLINE via PubMed, CINHAL, Scopus and Web of Science, and the Cochrane Central Register of Controlled Trials for reports of studies on fasting insulin, homeostatic model assessment for insulin resistance (Homa-IR), fasting blood sugar, glycated hemoglobin and body mass index in patients with T2DM and healthy controls that were published between 1990 and 2017. Data are reported as the standardized mean difference or mean difference with 95% confidence intervals (CIs). Results Among 2242 records retrieved, only 11 full-text articles were available for meta-analysis. Data for 846 participants were analyzed, 440 in the intervention group, and 406 in the control group. The mean difference for fasting insulin level was −1.64 (95% CI; −3.38 to 0.10), Homa-Ir 0.14 (−1.48 to 1.76), fasting blood sugar −5.12 (−7.78 to −2.45), hemoglobin A1c 0.63 (−0.82 to 2.08) and body mass index −0.36 (−1.51 to 0.79). Conclusion The evidence highlights the effectiveness of a structured exercise intervention program for insulin resistance in T2DM with a moderate level 2 of evidence. [ABSTRACT FROM AUTHOR]

Objective: A study was carried out to evaluate the effects of metabolic syndrome components and oxidative stress factors among preeclamptic women from South West India.Study Design: A case-control study was carried out by enrolling fifty pre-eclampsia cases and hundred low-risk pregnant women within the age group of 18-40 years, at 28-34 weeks of pregnancy. The fasting glucose level, fasting insulin level, insulin resistance, total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), malondialdehyde, the ferric reducing ability of plasma (FRAP assay), cardiac output and aortic wall distensibility were measured.Main Outcome Measures: There was a significant rise in the fasting blood glucose, fasting insulin, insulin resistance levels, total cholesterol, triglycerides, LDL, and antioxidant levels in pre-eclamptic women (p < 0.001). The cardiac output and aortic wall distensibility were observed to be low in the cases.Conclusion: We conclude that abnormal lipid metabolism and high lipid peroxide concentrations observed in pre-eclampsia may result in oxidative stress and vascular dysfunction. [ABSTRACT FROM AUTHOR]

Obesity refers to an excess of body fat content causing metabolic and inflammatory disorders. Therefore, the aim of the present study was to investigate dose-dependent effect of rosuvastatin on the metabolic profile of diet-induced obesity in mice model study. A total number of 40 male Albino Swiss mice were used which divided into Group I: Control group, fed normal diet for 8 weeks (n = 10); Group II: High-fat diet (HFD) group, fed on HFD for 8 weeks (n = 10); Group III: HFD + 20 mg/kg rosuvastatin for 8 weeks (n = 10); and Group IV: HFD +40 mg/kg rosuvastatin for 8 weeks (n = 10). Anthropometric and biochemical parameters were estimated, including fasting blood glucose, lipid profile, fasting insulin, and glucose tolerance test (GTT). Mice on HFD fed showed a significant increase in the insulin resistance, body weight, deterioration of lipid profile and significant reduction in the β-cell function, and insulin sensitivity compared to the control P < 0.05. GTT and blood glucose level were significantly high in HFD fed group compared to the control group P < 0.05. Rosuvastatin in a dose of 40 mg/kg illustrated better effect than 20 mg/kg on the glucometabolic profile P < 0.05. Rosuvastatin may has a potential effect on reduction of glucometabolic changes induced by HFD with significant amelioration of pancreatic β-cell function in dose-dependent manner. [ABSTRACT FROM AUTHOR]

Abstract Insulin resistance and defects in other related glycemic traits are common findings in the context of Metabolic Syndrome. Although genetic factors are clearly implied in susceptibility, and some gene variants have been identified mainly in populations of European ancestry, little is known about this aspect in admixed populations. The association of insulin resistance, β -cell function, fasting insulin and glucose levels with 48 gene variants, previously related to metabolic syndrome components, and with the ancestral genetic composition, estimated on 50 ancestry informative markers, was evaluated in 417 individuals from the Colombian admixed population. The Native American genetic ancestry was associated with a low β -cell function (odds ratio (OR) of 1.73 and 95% confidence interval (95% CI) of 1.07–2.81, p = 0.026). Significant genotypic associations were obtained (q-value < 0.05) for gene variants in ACE (rs4340; OR (95% CI): 2.79 (1.58–4.91), insulin resistance; mean difference (95% CI): 0.273 (0.141; 0.406), fasting insulin), ADIPOR2 (rs11061971; OR (95% CI): 0.14 (0.04–0.48), low β -cell function), MTNR1B (rs10830963; mean difference (95% CI): 0.032 (0.013; 0.051), fasting glucose) and GCK (rs4607517; mean difference (95% CI): 0.038 (0.020;0.056) and rs1799884; mean difference (95% CI): 0.027 (0.013–0.041), fasting glucose). Also the well-known gene variants rs7903146 in TCF7L2, and rs17817449 in FTO , were nominally associated with hyperglycemia (rs7903146), as well as with higher fasting insulin levels (rs17817449). Our findings indicate that gene variants in ACE , ADIPOR2 , MTNR1B , GCK , TCF7L2 and FTO , are associated with glycemic traits in the admixed Colombian population, while a higher Native American genetic component is related to lower β -cell function. Highlights • Native American ancestry is a risk factor for low β -cell function. • Gene variant rs11061971 is associated with better β -cell function. • Gene variants in or near GCK , MTNR1B and TCF7L2 are associated with hyperglycemia. • Gene variant rs4340 of ACE is associated with Insulin resistance and higher insulin levels. [ABSTRACT FROM AUTHOR]

Background: Obesity is a disabling disease which has gained greater attention worldwide. It significantly increases the risk for other diseases such as insulin independent diabetes mellitus also known as diabetes type 2. The most common surgical procedure for obesity is liposuction. It is traditionally performed either as small-volume liposuction or large-volume liposuction. Aim of the Work: to spot the light on the effect of large volume liposuction on fasting insulin level changes after 3 months postoperative and to find if LVL may obtain any improvement in metabolic variables. This study will provide the clinician with a more valid basis on which to advise patients undergoing bodycontouring procedures, particularly to ensure realistic expectations regarding the effects of bodyreshaping procedures on general health. Patients and Mehtods: This is prospective study was conducted on a total of 15 overweight and obese (BMI 26-35 kg/m2) premenopausal women (age 21- 40years). All subjects were at their maximum body weight and weight stable for at least 3 months. The study took place at Ain Shams University Hospitals and other authorized hospitals under supervision of thesis supervisors studying fasting insulin changes after 3 months following large volume liposuction. Results: The present study demonstrates that large-volume abdominal liposuction should, by itself, be considered a clinical therapy for obesity and its metabolic sequelae. Aspiration of large amounts of subcutaneous abdominal fat in women with abdominal obesity, besides having cosmetic benefits, does significantly improve fasting insulin levels. Therefore, the procedure is safe and could successfully help obese subjects to reduce their potential metabolic risks. Conclusion: The analysis of the study suggests that plastic surgery could play a role in metabolism. The surgical removal of fat is not detrimental with regard to variation of metabolic indices. [ABSTRACT FROM AUTHOR]

Our aim is to assess the effect of cinnamon powder capsules on insulin resistance, anthropometric measurements, glucose and lipid profiles, and androgens of women with polycystic ovarian syndrome (PCOS). Out of 80 women that were diagnosed as PCOS by Rotterdam Criteria, 66 were enrolled in this randomized double-blind placebo-controlled clinical trial. All of the PCOS women were taking medroxy progesterone acetate 10 mg/day for the last 10 days of their menstrual cycles. The cases were randomly allocated to 2 groups. The women in the first group were treated by cinnamon powder capsules 1.5 g/day in 3 divided doses for 12 weeks and the second group by similar placebo capsules. Anthropometric measurements, fasting blood sugar, fasting insulin, blood glucose 2 hr after taking 75 g oral glucose, HbA1c, testosterone, dehydroepiandrosterone sulphate, homeostatic model assessment for insulin resistance, triglyceride, and cholesterol (low-density lipoprotein, high-density lipoprotein, and total) before and after the intervention were evaluated and compared as outcome measures. Fasting insulin (p = .024) and homeostatic model assessment for insulin resistance (p = .014) were reduced after 12 weeks in the cinnamon group compared with the placebo. There was also a significant decrease in low-density lipoprotein in cinnamon group (p = .004) as compared with baseline that caused significant difference with placebo (p = .049). However, changes in other outcome measurements did not lead to statistically significant difference with placebo. The present results suggest that complementary supplementation of cinnamon significantly reduced fasting insulin and insulin resistance in women with PCOS. [ABSTRACT FROM AUTHOR]

Aims/hypothesis: Glycaemic markers and fasting insulin are frequently measured outcomes of intervention studies. To extrapolate accurately the impact of interventions on the risk of diabetes incidence, we investigated the size and shape of the associations of fasting plasma glucose (FPG), 2 h post-load glucose (2hPG), HbA, fasting insulin and HOMA-IR with incident type 2 diabetes mellitus. Methods: The study population included 1349 participants aged 50-75 years without diabetes at baseline (1989) from a population-based cohort in Hoorn, the Netherlands. Incident type 2 diabetes was defined by the WHO 2011 criteria or known diabetes at follow-up. Logistic regression models were used to determine the associations of the glycaemic markers, fasting insulin and HOMA-IR with incident type 2 diabetes. Restricted cubic spline logistic regressions were conducted to investigate the shape of the associations. Results: After a mean follow-up duration of 6.4 (SD 0.5) years, 152 participants developed diabetes (11.3%); the majority were screen detected by high FPG. In multivariate adjusted models, ORs (95% CI) for incident type 2 diabetes for the highest quintile in comparison with the lowest quintile were 9.0 (4.4, 18.5) for FPG, 6.1 (2.9, 12.7) for 2hPG, 3.8 (2.0, 7.2) for HbA, 1.9 (0.9, 3.6) for fasting insulin and 2.8 (1.4, 5.6) for HOMA-IR. The associations of FPG and HbA with incident diabetes were non-linear, rising more steeply at higher values. Conclusions/interpretation: FPG was most strongly associated with incident diabetes, followed by 2hPG, HbA, HOMA-IR and fasting insulin. The strong association with FPG is probably because FPG is the most frequent marker for diabetes diagnosis. Non-linearity of associations between glycaemic markers and incident type 2 diabetes should be taken into account when estimating future risk of type 2 diabetes based on glycaemic markers. [ABSTRACT FROM AUTHOR]

Background Insulin resistance and type 2 diabetes mellitus (T2DM) contribute to the progression of non-alcoholic fatty liver disease (NAFLD). However, the relationship between glucose metabolic factors and the histological severity in NAFLD patients before development of T2DM is not well known. Methods In 103 biopsy-proven NAFLD patients (68 men and 35 women) with hemoglobin A1c of <6.5% and fasting blood glucose of <126 mg/dL, we investigated whether glucose metabolic factors influenced the severity of hepatic fibrosis without prior known T2DM. Results Female gender, age, serum aspartate aminotransferase, the aspartate aminotransferase/alanine aminotransferase ratio, fasting immunoreactive insulin (f-IRI), homeostasis model assessment - insulin resistance, hemoglobin A1c, hyaluronic acid, and type IV collagen 7 s were significantly higher, and 1,5-anhydroglucitol was significantly lower, in the fibrosis stage F3 group than in the F0-2 group. Multiple logistic regression analysis showed that only f-IRI ( P = 0.006; odds ratio, 1.15151; 95% confidence interval, 1.04198-1.27254) was significantly indicated as a predictive factor for F3. As determined by both forward and backward stepwise selection analyses to optimize the model, f-IRI ( P = 0001; odds ratio, 1.16788) remained an independent predictive factor for F3. To discriminate the F3 group from the F0-2 group, the area under the receiver operating characteristic curves showed that fasting insulin was 0.7219, and the best cut-off value of f-IRI was 13.2 μU/mL in the receiver operating characteristic curve analysis. Conclusions High fasting insulin concentrations may be a pivotal glucose metabolic predictor for the severity of hepatic fibrosis beyond the glycemic status in NAFLD patients before development of T2DM. [ABSTRACT FROM AUTHOR]

Background: Weight regain and type-2 diabetes relapse has been reported in a significant proportion of vertical sleeve gastrectomy (VSG) patients in some studies, but definitive conclusions regarding the long-term comparative effectiveness of VSG and Roux-en-Y gastric bypass (RYGB) surgery are lacking both in humans and rodent models. This study's objective was to compare the effects of murine models of VSG and RYGB surgery on body weight, body composition, food intake, energy expenditure, and glycemic control. Methods: VSG, RYGB, and sham surgery was performed in high-fat diet-induced obese mice, and the effects on body weight and glycemic control were observed for a period of 12 weeks. Results: After the initial weight loss, VSG mice regained significant amounts of body weight and fat mass that were only marginally lower than in sham-operated mice. In contrast, RYGB produced sustained loss of body weight and fat mass up to 12 weeks and drastically improved fasting insulin and HOMA-IR compared with sham-operated mice. Using weight-matched control groups, we also found that the adaptive hypometabolic response to weight loss was blunted by both VSG and RYGB, and that despite large weight/fat regain, fasting insulin and HOMA-IR were markedly improved, but not reversed, in VSG mice. Conclusions: VSG is less effective to lastingly suppress body weight and improve glycemic control compared with RYGB in mice. Given similar observations in many human studies, the run towards replacing RYGB with VSG is premature and should await carefully controlled randomized long-term trials with VSG and RYGB. [ABSTRACT FROM AUTHOR]

Aims Type 2 diabetes, hyperinsulinemia, and insulin resistance are associated with cognitive impairment. Experimental studies indicate that insulin signaling in the brain is related to cognitive performance. Here we evaluated whether insulin-related variables contribute to the variance in cognitive performance among individuals with type 2 diabetes. Methods A total of 806 individuals with type 2 diabetes (mean age 62 ± 8 years, HbA1c 6.9 ± 1.1%) completed a neuropsychological test battery. Insulin-related variables evaluated were: fasting plasma insulin, C-peptide, and the Homeostasis Model Assessment (HOMA2-IR; in individuals without insulin treatment; n = 641). The unadjusted coefficient of determination (R 2 ), obtained from multiple linear regression analyses, was used to estimate the proportion of variance in cognition explained by insulin-related variables. Results Sex, age, and educational level together explained 18.0% (R 2 ) of the variance in memory function, 26.5% in information processing speed, and 22.8% in executive function and attention. Fasting insulin, C-peptide, or HOMA2-IR did not increase the explained variance (maximum ΔR 2 0.3%, P ≥ 0.14). Similar results were obtained when insulin-related variables were added to models that additionally included glycemic control, cardiovascular risk factors, and depression. Conclusions Our results show that measures of peripheral insulin resistance are unrelated to cognitive performance among individuals with adequately controlled type 2 diabetes. [ABSTRACT FROM AUTHOR]

Lifestyle changes and dietary intervention, including the use of probiotics, can modulate dysbiosis of gut microbiome and contribute to the management of type 2 diabetes mellitus (T2DM). This systematic review and meta-analysis aim to assess the efficacy of metformin plus probiotics versus metformin alone on outcomes in patients with T2DM. We searched MEDLINE and EMBASE from inception to February 2023 to identify all randomized controlled trials (RCTs), which compared the use of metformin plus probiotics versus metformin alone in adult patients with T2DM. Data were summarized as mean differences (MD) with 95 % confidence interval (CI) and pooled under the random effects model. Fourteen RCTs (17 comparisons, 1009 patients) were included in this systematic review. Pooled results show a significant decrease in fasting glucose (FG) (MD = −0.64, 95 % CI = −1.06, −0.22) and HbA1c (MD = −0.29, 95 % CI = −0.47, −0.10) levels in patients with T2DM treated with metformin plus probiotics versus metformin alone. The addition of probiotics to metformin resulted in lower odds of gastrointestinal adverse events (Odds ratio = 0.18, 95 % CI = 0.09, 0.3.8; I2 = 0 %). The addition of probiotics to metformin therapy is associated with improvement in T2DM outcomes. However, high-quality and adequately reported RCTs are needed in the future to confirm our findings. [ABSTRACT FROM AUTHOR]