Serum metabolism distribution in individuals exposed to dioxins: A case study of residents near the municipal solid waste incinerators in China.

Polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) have attracted considerable attention owing to their environmental persistence, bioaccumulation, and high toxicity. This study aimed to investigate changes in serum metabolites following exposure to PCDD/Fs and to reveal a novel pathogenesis of PCDD/Fs. Serum samples were collected from 75 residents living near a municipal solid waste incinerator in China to analyse the relationship between PCDD/Fs and serum metabolic components. The serum level in the low-exposure group [19.07 (13.44-23.89) pg-TEQ/L] was significantly lower than that in the high-exposure group [115.60 (52.28-592.65) pg-TEQ/L]. Non-targeted metabolomic studies based on liquid chromatography-high resolution mass spectrometry have been applied to the metabolomic analysis of serum. Thirty-seven metabolites with significant differences among the different groups were identified as biomarkers. Pathway analysis revealed that high dioxin exposure perturbed various biological processes, including glycerol phospholipid metabolism and the interconversion of pentose and glucuronate. The results of a population health survey showed that the serum dioxin concentration in patients with diabetes was significantly higher than that in the control population. These findings suggest that dioxin exposure is associated with several potential adverse health risks, including inflammation, diabetes, and cardiovascular disease, through metabolic changes.

Association between ideal cardiovascular health and abnormal glucose metabolism in the elderly: evidence based on real-world data.

BACKGROUND: Limited information is available on the effect of ideal cardiovascular health (CVH) and abnormal glucose metabolism in elderly people. We aimed to analyze the prevalence of CVH behaviors, abnormal glucose metabolism, and their correlation in 65 and older people. METHODS: In this study, randomized cluster sampling, multivariate logistic regression, and mediating effects analysis were used. Recruiting was carried out between January 2020 and December 2020, and 1984 participants aged 65 years or older completed the study. RESULTS: The prevalence of abnormal glucose metabolism in this group was 26.7% (n = 529), among which the prevalence of impaired fasting glucose (IFG) was 9.5% (male vs. female: 8.7% vs 10.1%, P = 0.338), and the prevalence of type 2 diabetes mellitus (T2DM) was 19.0% (male vs. female: 17.8 vs. 19.8%, P = 0.256). The ideal CVH rate (number of ideal CVH metrics ≥ 5) was only 21.0%. The risk of IFG and T2DM decreased by 23% and 20% with each increase in one ideal CVH metrics, with OR (95%CI) of 0.77(0.65-0.92) and 0.80(0.71-0.90), respectively (P -trend < 0.001). TyG fully mediated the ideal CVH and the incidence of T2DM, and its mediating effect OR (95%CI) was 0.88(0.84-0.91). CONCLUSIONS: Each increase in an ideal CVH measure may effectively reduce the risk of abnormal glucose metabolism by more than 20%.

A meta-analysis of diabetes risk prediction models applied to prediabetes screening.

AIM: To provide a systematic overview of diabetes risk prediction models used for prediabetes screening to promote primary prevention of diabetes. METHODS: The Cochrane, PubMed, Embase, Web of Science and China National Knowledge Infrastructure (CNKI) databases were searched for a comprehensive search period of 30 August 30, 2023, and studies involving diabetes prediction models for screening prediabetes risk were included in the search. The Quality Assessment Checklist for Diagnostic Studies (QUADAS-2) tool was used for risk of bias assessment and Stata and R software were used to pool model effect sizes. RESULTS: A total of 29 375 articles were screened, and finally 20 models from 24 studies were included in the systematic review. The most common predictors were age, body mass index, family history of diabetes, history of hypertension, and physical activity. Regarding the indicators of model prediction performance, discrimination and calibration were only reported in 79.2% and 4.2% of studies, respectively, resulting in significant heterogeneity in model prediction results, which may be related to differences between model predictor combinations and lack of important methodological information. CONCLUSIONS: Numerous models are used to predict diabetes, and as there is an association between prediabetes and diabetes, researchers have also used such models for screening the prediabetic population. Although it is a new clinical practice to explore, differences in glycaemic metabolic profiles, potential complications, and methods of intervention between the two populations cannot be ignored, and such differences have led to poor validity and accuracy of the models. Therefore, there is no recommended optimal model, and it is not recommended to use existing models for risk identification in alternative populations; future studies should focus on improving the clinical relevance and predictive performance of existing models.

Association between atherogenic index of plasma control level and incident cardiovascular disease in middle-aged and elderly Chinese individuals with abnormal glucose metabolism.

BACKGROUND: The atherogenic index of plasma (AIP) and cardiovascular disease (CVD) in participants with abnormal glucose metabolism have been linked in previous studies. However, it was unclear whether AIP control level affects the further CVD incidence among with diabetes and pre-diabetes. Therefore, our study aimed to investigate the association between AIP control level with risk of CVD in individuals with abnormal glucose metabolism. METHODS: Participants with abnormal glucose metabolism were included from the China Health and Retirement Longitudinal Study. CVD was defined as self-reporting heart disease and/or stroke. Using k-means clustering analysis, AIP control level, which was the log-transformed ratio of triglyceride to high-density lipoprotein cholesterol in molar concentration, was divided into five classes. The association between AIP control level and incident CVD among individuals with abnormal glucose metabolism was investigated multivariable logistic regression analysis and application of restricted cubic spline analysis. RESULTS: 398 (14.97%) of 2,659 participants eventually progressed to CVD within 3 years. After adjusting for various confounding factors, comparing to class 1 with the best control of the AIP, the OR for class 2 with good control was 1.31 (95% CI, 0.90-1.90), the OR for class 3 with moderate control was 1.38 (95% CI, 0.99-1.93), the OR for class 4 with worse control was 1.46 (95% CI, 1.01-2.10), and the OR for class 5 with consistently high levels was 1.56 (95% CI, 1.03-2.37). In restricted cubic spline regression, the relationship between cumulative AIP index and CVD is linear. Further subgroup analysis demonstrated that the similar results were observed in the individuals with agricultural Hukou, history of smoking, diastolic blood pressure ≥ 80mmHg, and normal body mass index. In addition, there was no interaction between the AIP control level and the subgroup variables. CONCLUSIONS: In middle-aged and elderly participants with abnormal glucose metabolism, constant higher AIP with worst control may have a higher incidence of CVD. Monitoring long-term AIP change will contribute to early identification of high risk of CVD among individuals with abnormal glucose metabolism.

Maternal fasting serum C-peptide concentrations in the first and second trimesters and subsequent risk of gestational diabetes mellitus: A nested case-control study among Chinese women.

OBJECTIVE: To examine the association of serum connecting peptide (C-peptide) concentrations with gestational diabetes mellitus (GDM) risk among Chinese women. METHODS: A nested case-control study was conducted on 436 reproductive-aged women, involving 218 GDM cases and 218 controls matched at 1:1 by maternal age, in Beijing, China between January 2016 and December 2017. Fasting serum C-peptide were successively determined at 10-14 and 15-20 weeks of gestation. Restricted cubic spline and logistic regression analyses were utilized, and receiver operating characteristic (ROC) curves were generated to evaluate the predictive capacity of C-peptide for GDM. RESULTS: Fasting serum C-peptide concentrations exhibited a significant decrease from the initial to the subsequent trimester in females with normal glucose tolerance (NGT). For each 1 log ng/mL increase of fasting serum C-peptide during the first and second trimesters, GDM risk increased by 2.38-fold [odds ratio (OR): 2.38, 95% confidence intervals (95%CI): 1.33-4.40] and 3.07-fold (OR: 3.07, 95%CI: 1.49-6.62), respectively. The areas under the ROC curves for the first- and second-trimester C-peptide were 80.4% and 82.4%. CONCLUSION: Our findings revealed a positive correlation between fasting serum C-peptide during the first and second trimesters and the risk of GDM or its subtypes, underscoring the potential of C-peptide as a predictor for GDM development.

Association between metal mixture exposure and abnormal glucose metabolism in multiple mixture exposure models: Evidence from NHANES 2015-2016.

Previous studies primarily focused on the single metal exposure and one-sided glucose metabolism disordered states, leading to conflicting results. Herein, we combined diabetes and prediabetes as abnormal glucose metabolism (AGM) to describe the effect of metal mixture exposure on it. Eligible data were obtained from the National Health and Nutrition Examination Survey (NHANES) 2015-2016. In the generalized linear model (GLM), Cd (OR: 1.060, 95 %CI: 1.032-1.089, P value < 0.001) and Tl (OR: 1.039, 95 %CI: 1.004-1.075, P value = 0.031) exposure were positively associated with AGM. In the weighted quantile sum (WQS) regression model, the positive index was obviously associated with AGM (OR: 1.358, 95 %CI: 1.007-1.832, P value = 0.045). In the least absolute shrinkage and selection operator (LASSO) regression model, Cd and Tl were selected as the most contributors. In the Bayesian kernel machine regression (BKMR) model, the effect of co-exposure to metal mixture was associated with AGM, and Cd exposure showed a significantly positive trend. In conclusion, Cd and Tl exposure exhibited independent positive effects on AGM among metal mixture exposure, consistent with their effects on prediabetes.

Risk factors for abnormal glucose metabolism during antipsychotic treatment: A prospective cohort study.

Antipsychotic medications increase the risk of abnormal glucose metabolism. However, in clinical practice, it is difficult to predict this risk because it is affected by medication-related and background factors. This study aimed to identify the risk factors for abnormal glucose metabolism during antipsychotic treatment. We conducted a multicenter, prospective, cohort study in patients with schizophrenia, schizoaffective disorder, or bipolar disorder. Of these patients, those with prediabetes or possible diabetes were excluded. Finally, 706 patients were included in the analysis. The hazard ratio (HR) for each factor was calculated for events of progression to hyperglycemia using time-dependent Cox regression analysis stratified according to facility type and adjusted for available background and drug-related factors. Treatments with olanzapine (HR = 2.06, 95% confidence interval [CI] = 1.05-4.05), clozapine (HR = 4.25, 95% CI = 1.56-11.60), and chlorpromazine (HR = 4.48, 95% CI = 1.21-16.57), overweight and obesity (HR = 1.57, 95% CI = 1.02-2.41), and hypertriglyceridemia (HR = 1.72, 95% CI = 1.02-2.88) were associated with a significantly higher occurrence of hyperglycemic progression. The number and daily dose of antipsychotics were not associated with their occurrence. Our study demonstrated that more careful monitoring is necessary during olanzapine, clozapine, and chlorpromazine treatment because of the higher occurrence of abnormalities in glucose metabolism. Furthermore, patients with obesity or hypertriglyceridemia warrant monitoring for the occurrence of abnormal glucose metabolism, regardless of the type of antipsychotic medication.

Corrigendum: Correlation between blood glucose and cerebrospinal fluid glucose levels in patients with differences in glucose metabolism.

[This corrects the article DOI: 10.3389/fneur.2023.1103026.].

Correlation between blood glucose and cerebrospinal fluid glucose levels in patients with differences in glucose metabolism.

Objectives: We aimed to determine a method to identify normal cerebrospinal fluid (CSF) glucose levels by examining the correlation between blood and CSF glucose levels in patients with normal and abnormal glucose metabolism. Methods: One hundred ninety-five patients were divided into two groups according to their glucose metabolism. The glucose levels were obtained from CSF and fingertip blood at 6, 5, 4, 3, 2, 1, and 0 h before lumbar puncture. SPSS 22.0 software was used for the statistical analysis. Results: In both the normal and abnormal glucose metabolism groups, CSF glucose levels increased with blood glucose levels at 6, 5, 4, 3, 2, 1, and 0 h before lumbar puncture. In the normal glucose metabolism group, the CSF/blood glucose ratio range was 0.35-0.95 at 0-6 h before lumbar puncture, and the CSF/average blood glucose ratio range was 0.43-0.74. In the abnormal glucose metabolism group, the CSF/blood glucose ratio range was 0.25-1.2 at 0-6 h before lumbar puncture, and the CSF/average blood glucose ratio range was 0.33-0.78. Conclusion: The CSF glucose level is influenced by the blood glucose level 6 h before lumbar puncture. In patients with normal glucose metabolism, direct measurement of the CSF glucose level can be used to determine whether the CSF level is normal. However, in patients with abnormal or unclear glucose metabolism, the CSF/average blood glucose ratio should be used to determine whether the CSF glucose level is normal.

Prevalence and clinical correlates of abnormal glucose metabolism in young, first- episode and medication-naïve outpatients with major depressive disorder.

BACKGROUNDS: The high co-morbidity of abnormal glucose metabolism in depressed patients has been extensively studied, but few studies have explored abnormal glucose metabolism in young patients with major depressive disorder (MDD). This study aimed to examine the prevalence and clinical correlates of abnormal glucose metabolism in young patients with first-episode medication-naïve (FEMN) MDD. METHODS: A cross-sectional study was conducted on 1289 young Chinese outpatients with FEMN MDD. All subjects were assessed on the Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale (HAMA), Positive and Negative Syndrome Scale, and their sociodemographic information was collected, and blood pressure, blood glucose, lipid and thyroid hormone levels were measured. RESULTS: The prevalence of abnormal glucose metabolism was 12.57% in young FEMN MDD outpatients. Thyroid stimulating hormone (TSH) levels and HAMA scale scores were associated with fasting blood glucose levels in patients with FEMN MDD (P<0.05), and TSH could differentiate patients with abnormal normal glucose metabolism from those without abnormal glucose metabolism (Area Under Curve of 0.774). CONCLUSIONS: Our study showed a high prevalence of comorbid glucose metabolism abnormalities in young FEMN MDD outpatients. TSH may be a promising biomarker of abnormal glucose metabolism in young patients with FEMN MDD.

Hypertriglyceridemic waist phenotype, hypertriglyceridemic waist-to-height ratio phenotype and abnormal glucose metabolism in adolescents.

OBJECTIVE: The purpose of this study was to evaluate the relationship between hypertriglyceridemic waist (HW) phenotype,hypertriglyceridemic waist-to-height ratio (HWHtR) phenotype and abnormal glucose metabolism in adolescents. METHODS: A secondary analysis was conducted on 2626 adolescents aged 12-19 years in United States. Abnormal glucose metabolism was defined as fasting plasma glucose ≥ 5.6 mmol/L or oral glucose tolerance test 2-h plasma glucose ≥ 7.8 mmol/L or glycohemoglobin A1c ≥ 5.7% or a previous diagnosis of diabetes. The HW phenotype was defined as triglyceride(TG) concentrations ≥ 1.47 mmol/L and waist circumference (WC) ≥ 90th percentile. The HWHtR phenotype was defined as TG concentrations ≥ 1.47 mmol/L and waist-to-height ratio (WHtR) ≥ 0.5. RESULTS: 621(23.6%) adolescents had abnormal glucose metabolism. The prevalences of abnormal glucose metabolism were 22.7% and 40.6% in adolescents without and with HW phenotype. The prevalences of abnormal glucose metabolism were 22.4% and 38.6% in adolescents without and with HWHtR phenotype. Adolescents with HWHtR phenotype were more likely to have abnormal glucose metabolism (OR = 1.548, P = 0.010). The levels of homeostasis model assessment insulin resistance and ß cell fuction index were higher in adolescents with HWHtR phenotype than in adolescents without HWHtR phenotype (P < 0.001). CONCLUSION: The study demonstrates that HWHtR phenotype was closely associated with an increased risk of abnormal glucose metabolism in adolescents. Adolescents with HWHtR phenotype had worsen insulin resistance and increased insulin secretion as a result of compensation. IMPACT STATEMENT: The study provided a simple method, HWHtR phenotype, for evaluating the status of glucose metabolism in adolescents.

The influence of different glucose tolerance on QTc interval: a population-based study.

BACKGROUND: Corrected QT (QTc) interval has been reported to be associated with type 2 diabetes. This study aimed to explore the relationship between different glucose tolerance and QTc intervals among middle-aged and older Chinese individuals. METHODS: We conducted a cross-sectional analysis that included 9898 subjects (3194 men and 6704 women) in a Chinese population. Glucose tolerance was studied during the oral glucose tolerance test (OGTT). Insulin, blood pressure, hemoglobin A1c (HbA1c), serum lipids, hepatic transaminases and waist-to-hip ratio were assessed. The QTc interval was derived from ECG recordings, and the subjects were stratified based on different glucose tolerance. RESULTS: QTc interval levels were increased significantly in the subjects with abnormal glucose metabolism compared with the normal glucose regulation group. Multiple regression analyses showed that the QTc interval was significantly associated with fasting plasma glucose, 2-h OGTT plasma glucose and HbA1c. The odds ratio of prolonged QTc was 1.396 for impaired glucose regulation (IFG)/impaired fasting glucose (IGT) (95% CI 0.126-1.730), and 1.342 for type 2 diabetes (95% CI 0.142-1.577) after all potential confounders were adjusted. CONCLUSIONS: Impaired glucose tolerance (IGR) and diabetes are associated with prolonged QTc intervals among middle-aged and older Chinese individuals. Abnormal glucose regulation can be used to monitor the QTc interval in the population.

High Serum FABP4 Levels are Negatively Associated with the Reversion from Prediabetes to Normal Glucose Tolerance: A 2-Year Retrospective Cohort Community Study.

Objective: To explore the relationship between the level of fatty acid-binding protein 4 (FABP4) and reversion from prediabetes to normal glucose tolerance (NGT). Methods: A two-year retrospective cohort study was conducted on 398 participants with complete information. These 398 participants were divided into an NGT group and an abnormal glucose metabolism (AGM) group after 2 years of follow-up. The baseline level of FABP4 was determined, and the role of FABP4 in predicting reversion from prediabetes to NGT was investigated using an unconditional logistic regression model. Results: Over the two-year follow-up period, 37.4% (149/398) of the participants reverted from prediabetes to NGT. The participants with AGM had a higher baseline level of FABP4 than those with NGT. The baseline level of FABP4 was significantly negatively correlated with reversion from prediabetes to NGT. After adjusting for age, sex, body mass index and waist-to-hip ratio, the level of fasting blood glucose (FBG) [odds ratio (OR) 0.336, 95% confidence interval (CI) (0.196-0.576)], 2-h post-challenge blood glucose (2hBG) [OR 0.697, 95% CI (0.581-0.837)], and FABP4 [OR 0.960, 95% CI (0.928-0.993)] at baseline were significant independent predictors of reversion from prediabetes to NGT. The area under the curve (AUC) value of the receiver operating characteristic curve for FABP4 was 0.605 (95% CI: 0.546-0.665), and the AUC for FABP4 combined with FBG and 2hBG was 0.716 (95% CI: 0.663-0.769). Conclusion: A higher baseline level of FABP4 was positively correlated with an adverse profile of diabetes risk factors and negatively correlated with reversion from prediabetes to NGT. FABP4, FBG and 2hBG were predictors of reversion from prediabetes to NGT.

Consistently Low Levels of Osteocalcin From Late Pregnancy to Postpartum Are Related to Postpartum Abnormal Glucose Metabolism in GDM Patients.

Objective: Increasing evidence suggests that osteocalcin (OC), a marker of bone formation, plays an important role in glucose homoeostasis. Few studies have investigated the relationship between OC levels in gestational diabetes mellitus (GDM) patients and their postpartum glucose metabolism. This study evaluated the relationship between OC levels in late pregnancy, their longitudinal changes, and postpartum glucose metabolism among GDM patients. Measures: Serum OC was measured in late pregnancy and the postpartum period for 721 GDM patients. All patients underwent a 75-g oral glucose tolerance test (OGTT) at 6-8 weeks postpartum. According to postpartum OGTT outcomes, patients were categorized into abnormal glucose metabolism (AGM) (n=255) and normal glucose tolerance (NGT) groups (n=466). Glucose metabolism-related indices were measured and calculated. Logistic regression analysis and linear mixed-effects model were used to assess the association between OC and postpartum AGM. Results: In late pregnancy, OC levels were lower in the AGM group than in the NGT group (13.93 ± 6.90 vs 15.33 ± 7.63 ng/ml, P=0.015). After delivery, OC levels increased in both groups. However, OC levels remained lower in the AGM group than in the NGT group (23.48 ± 7.84 vs 25.65 ± 8.37 ng/ml, P=0.001). Higher OC levels in late pregnancy were associated with decreased risk of progressing to postpartum AGM (OR:0.96, 95%CI:0.94-0.99). Linear mixed-effects analysis showed that postpartum AGM patients exhibited consistently lower OC levels than NGT group from late pregnancy to the postpartum period after adjustment for cofactors (ß=-1.70, 95% CI: -2.78- -0.62). Conclusions: In GDM patients, consistently low levels of OC from late pregnancy to postpartum were associated with increased postpartum AGM risk. The increase in serum OC may act as a protective factor to curb the progression of AGM at postpartum for GDM patients.

Inflammatory bowel disease and diabetes: Is there a link between them?

Patients with inflammatory bowel disease (IBD) are reported to have an increased risk of diabetes. IBD therapies may also modulate blood glucose substantially. These observations are indicative of mechanistic connection(s) between IBD and diabetes.

Clinical status and related factors of subclinical hypothyroidism in patients with abnormal glucose metabolism / 公共卫生与预防医学

Objective To analyze the clinical situation and related factors of subclinical hypothyroidism in patients with abnormal glucose metabolism, and to provide theoretical basis for the prevention and treatment of subclinical hypothyroidism in patients with abnormal glucose metabolism. Methods A total of 428 patients with abnormal glucose metabolism who were treated in the Department of Endocrinology of Tianmen First People's Hospital from March 2018 to March 2020 were selected, and serum FT3, FT4 and TSH levels were determined by automatic immune analysis system. Automatic analyzer was used to measure the levels of FBG, HbA1c, TC, TG, LDL-C and UA. A self-made questionnaire was used to investigate the basic information of all subjects, including gender, age, abnormal course of glucose metabolism, BMI and blood pressure. The survey method was combined with telephone inquiry and field investigation. Logistic regression was used to analyze the independent risk factors for subhypothyroidism in patients with abnormal glucose metabolism. Results Among 428 patients with abnormal glucose metabolism, 89 patients were accompanied by subclinical hypothyroidism, including 39 males and 43 females, with an average age of (45.12±8.13) years. The prevalence of subhypothyroidism in females was higher than that in males, and the difference was statistically significant (χ2=4.353 , P0.05). The serum TSH level in experimental group was significantly higher than that in control group (P<0.05). Univariate analysis showed statistically significant differences in age, gender, abnormal course of glucose metabolism, BMI, BMI, FBG, HbA1c, UA, TC, LDL-C and SBP between the two groups (P<0.05). Logistic regression analysis showed that old age, high levels of FBG, TC, SBP and UA were independent risk factors for subclinical hypothyroidism in patients with abnormal glucose metabolism (P<0.05). Conclusion The incidence rate of patients with abnormal glucose metabolism complicated with subclinical hypothyroidism is high. The biochemical indexes such as blood glucose, blood lipid, blood pressure and uric acid should be monitored regularly. The early regulation of glucose metabolism disorder is an effective way to prevent and treat subclinical hypothyroidism.

Hyperandrogenemia in Early Adulthood Is an Independent Risk Factor for Abnormal Glucose Metabolism in Middle Age.

CONTEXT: The role of androgen excess as a contributing factor to abnormal glucose metabolism (AGM) and insulin resistance in women remains controversial. OBJECTIVE: To investigate whether hyperandrogenemia (HA) estimated by serum testosterone (T) level and free androgen index (FAI) at ages 31 and 46 years is associated with insulin resistance, insulin secretion and AGM by age 46. DESIGN: Prospective study including 5889 females followed at ages 31 and 46 years. SETTING: General community. PARTICIPANTS: Women with HA were compared with normoandrogenic women at ages 31 and 46 years. INTERVENTION: None. MAIN OUTCOME MEASUREMENTS: AGM, including prediabetes and type 2 diabetes mellitus, homeostatic model assessments of insulin resistance (HOMA-IR) and of pancreatic ß-cell function (HOMA-B). RESULTS: At age 31 years, HA women displayed increased HOMA-IR (P = 0.002), HOMA-B (P = 0.007), and higher fasting insulin (P = 0.03) than normoandrogenic women after adjusting for body mass index (BMI). At age 46 years, there was a nonsignificant trend toward higher fasting glucose (P = 0.07) and glycated hemoglobin A1 (P = 0.07) levels in HA women. Women in the highest T quartile (odds ratio [OR] = 1.80; 95%CI, 1.15-2.82) at age 31 years and in the 2 highest FAI quartiles at ages 31 (Q4: OR = 3.76; 95% CI, 2.24-6.32) and 46 (Q4: OR = 2.79; 95% CI, 1.74-4.46) years had increased risk for AGM, independently of BMI, when compared with women in Q1. SHBG was inversely associated with AGM (at age 31 years: Q4: OR = 0.37; 95% CI, 0.23-0.60, at age 46 years: Q4: OR = 0.28; 95% CI, 0.17-0.44). CONCLUSION: Hyperandrogenemia and low SHBG in early and middle age associates with AGM independently of BMI.

Clinical study of abnormal glucose metabolism and insulin resistance in patients with liver cirrhosis.

BACKGROUND: To investigate the correlation between abnormal glucose metabolism and insulin resistance in patients with liver cirrhosis. METHODS: A total of 254 participants were assigned into either the experimental group (EG) (n=123) or the normal group (NG) (n=131). We detected fasting blood glucose (FBG), postprandial blood glucose (PBG), fasting insulin (FINS), postprandial insulin, Hemoglobin A1c (HbA1c) and Insulin sensitivity index (ISI), at the same time, we compared various indexes in different Child-Pugh classification of the experimental group. RESULTS: The 1-hour PBG and 2-hour PBG in the EG were significantly higher than the NG group (P<0.05), serum insulin level in each period was significantly higher (P<0.05). The insulin sensitivity index (ISI) in the experimental group was statistical significantly lower (-4.21±0.09) VS. (-4.03±0.32), (P=0.031<0.05). Furthermore, the 2-hour PBG and FIN of Child-Pugh grade B patients were significantly higher than that of Child-Pugh grade A patients. The fasting insulin level of patients with cirrhosis of Child-Pugh grade C patients was significantly higher than that of Child-Pugh grade B patients, while FBG, PBG and ISI had no significant difference compared with those of Child-Pugh grade B patients. The higher the level of fasting blood glucose and postprandial blood glucose, the higher the FIN with the aggravation of liver function damage. CONCLUSIONS: Patients with liver cirrhosis had different degrees of insulin resistance. Clinicians can take proactive measures to prevent the occurrence of hepatogenic diabetes mellitus.

Breastfeeding Success Among Women with Gestational Diabetes Managed by Diet Only Compared with Those Requiring Medications.

Objective: Breastfeeding is known to have a positive impact on maternal and neonatal health. Some have suggested that gestational diabetes mellitus (GDM) is associated with lower breastfeeding rates, but it is not known whether rates are further impacted by glucose control in pregnancy. Thus, we examined whether patients with GDM requiring medication (A2 GDM) were more likely to not initiate or discontinue breastfeeding compared with patients with GDM well controlled by diet (A1 GDM). Research Design and Methods: This is a secondary analysis of a prospective cohort study of 600 patients with GDM. Eligible patients were enrolled during their delivery hospitalization and followed prospectively postpartum. The primary outcome was exclusive breastfeeding at hospital discharge and secondary outcomes included breastfeeding rates at 3 months postpartum. Patients classified as A2 GDM were compared with those classified as A1 GDM. Results: Of the 600 patients enrolled, 301 had A2 GDM and 299 had A1 GDM. Patients who needed medication were observed to be older and more likely to be parous and obese. There were no significant differences in labor outcomes or neonatal complications. After adjusting for baseline differences between the two groups, adjusted odds ratios (aORs) for exclusive breastfeeding rates were similar in mothers with A2 GDM compared with those with A1 GDM at hospital discharge (aOR 0.83 [0.54-1.28]) and 3 months postpartum (aOR 0.58 [0.34-1.01]). Additionally, any breastfeeding rates were similar in mothers with A2 GDM compared with those with A1 GDM, both at hospital discharge (aOR 0.72 [0.44-1.16]) and 3 months postpartum (aOR 0.63 [0.34-1.17]). Conclusions: After adjusting for baseline differences, there was no difference in any or exclusive breastfeeding rates at hospital discharge or 3 months postpartum among patients with A2 GDM compared with those with A1 GDM.

Performance of liver stiffness measurements obtained with FibroScan is affected by glucose metabolism in patients with nonalcoholic fatty liver disease.

BACKGROUND: The performance of liver stiffness measurements (LSMs) obtained using FibroScan can be affected by several factors, and cut-off values are different for fibrosis caused by various aetiologies. The study aims to evaluate the diagnostic accuracy of LSM in nonalcoholic fatty liver disease (NAFLD) patients with abnormal glucose metabolism and investigate whether the LSM value would be affected by metabolic indicators. METHODS: The study involved 91 NAFLD patients with abnormal glucose metabolism who underwent liver biopsy. The diagnostic accuracy of LSM value was evaluated by the receiver operator characteristic (ROC) curves, with the biopsy results taken as the gold standard. Multivariate linear regression and subgroup analysis were performed to determine the correlated indicators. RESULTS: The areas under the ROC curves (AUROCs) of LSM values for detecting fibrosis stage ≥1, 2, 3 and 4 were 0.793 (95% confidence interval [CI]: 0.695-0.871), 0.764 (95% CI: 0.663-0.846), 0.837 (95% CI: 0.744-0.906) and 0.902 (95% CI: 0.822-0.955), with cut-off values of 6.3, 7.6, 8.3 and 13.8 kPa, respectively. Multivariate linear regression demonstrated that haemoglobin A1c (HbA1c, ß = 0.205, P = 0.026) and alanine aminotransferase (ALT, ß = 0.192, P = 0.047) were independently associated with the LSM value after adjustment for fibrosis stage, ballooning and inflammation grade from liver biopsy. Subgroup analysis demonstrated that LSM values were slightly higher in patients with HbA1c ≥7% than in those with HbA1c < 7% and in patients with body mass index (BMI) ≥30 kg/m2 than in those with BMI < 30 kg/m2. CONCLUSIONS: FibroScan was valuable for the evaluation of liver fibrosis in NAFLD patients with abnormal glucose metabolism. FibroScan is recommended to evaluate severe fibrosis, especially to exclude advanced fibrosis. Glucose metabolism state may affect LSM values.