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.

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 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%.

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.

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.

Prevalence of abnormal glucose metabolism among adults attending an outpatient department at a tertiary referral hospital in Swaziland: a cross-sectional study.

BACKGROUND: The exact prevalence of type 2 diabetes mellitus (T2DM) and pre-diabetes in Swaziland remains unknown. Estimates suggest that the prevalence rate of type 2 diabetes mellitus is between 2.5 and 6.0% in Swaziland. The disparity in these estimates is due to a lack of quality data but the prevalence of diabetes is increasing in Swaziland. This study estimates the prevalence of type 2 diabetes mellitus and pre-diabetes among patients in a tertiary hospital in Manzini, Swaziland. METHODS: A cross-sectional observational survey was used to estimate the crude and age-adjusted prevalence rates of diabetes and pre-diabetes (impaired fasting glucose (IFG) and impaired glucose tolerance (IGT)) in the Manzini regional referral hospital of Swaziland. Diabetes was defined as a fasting blood glucose (FBG) ≥ 7.0 mmol/L (126 mg/dL) and pre-diabetes was defined as an FBG of 6.1-6.9 mmol/L (110-125 mg/dL) and an FBG < 7.0 mmol/L (< 126 mg/dL), respectively for IFG and IGT. A random sample of 385 participants was used. Data analysis was done using SPSS version 26 and the level of statistical significance was set at α < 0.05. RESULTS: The crude prevalence of type 2 diabetes mellitus and pre-diabetes was 7.3% [95% CI 4.9-10.3] and 6.5% [95% CI 4.2-9.4], respectively, with clear gender differences in the prevalence of diabetes (men 1.6% vs women 5.7%, p = 0.001). On the other hand, significantly more men (3.6%) had pre-diabetes than women (2.9%) (p = 0.004). The overall age-adjusted prevalence rates of type 2 diabetes mellitus and pre-diabetes were 3.9 and 3.8%, respectively. Among the diabetic group, 3 (10.7%) had known T2DM, whereas 25 (89.3%) were newly diagnosed during the study. Advancing age, gender, raised blood pressure, abnormal body mass index, and wealth index were significant risk factors for T2DM or prediabetes. CONCLUSION: The prevalence of type 2 diabetes mellitus among adult outpatients in the Raleigh Fitkin Memorial hospital was higher than previously reported in the health facility in Manzini; suggesting the need for routine T2DM screening at outpatient departments.

Beta-cell dysfunction and abnormal glucose metabolism among non-diabetic women with recurrent miscarriages.

BACKGROUND: Subclinical beta-cell (ß-cell) dysfunction is an endocrine abnormality and its association with recurrent miscarriages (RM) has not been extensively studied. OBJECTIVE: This study aimed to determine the prevalence of ß-cell dysfunction and abnormal glucose metabolism [fasting blood glucose (FBG) ≥ 5.1 mmol/L] among non-diabetic women with recurrent miscarriages and to establish if there was an association between RM and ß-cell dysfunction and FBG ≥ 5.1 mmol/L. METHODOLOGY: This was a cross-sectional study involving 80 women with miscarriages at ≤ 13 weeks gestation and 80 women with normal pregnancies at ≤ 13 weeks of gestation with at least one successful live-birth and no history of miscarriage (comparison group). Interviewer-administered questionnaire was used to obtain relevant information. From each participant, FBG and fasting insulin were assayed. ß-Cell function was computed. The data obtained was analysed using IBM-SPSS version 22.0. RESULTS: A significantly higher prevalence of ß-cell dysfunction and abnormal glucose metabolism were observed among non-diabetic women with RM compared to age-matched controls (38.8% vs 10.0%, P < 0.001) and (27.5% vs 6.3%, P = 0.005) respectively. The mean ß-cell function of the cases was 59.0% of the controls (264.41 ± 105.13 vs 447.82 ± 181.24, P < 0.001). Mean FBG was significantly higher in the case-group compared to the controls (4.77 ± 1.14 mmol/L vs 3.58 ± 0.78 mmol/L, P < 0.001). There was a significant association between RM and FBG ≥ 5.1 mmol/L and low ß-cell function (P < 0.001). CONCLUSION: This study suggests that women with recurrent miscarriages are more likely to have impaired ß-cell function and abnormal glucose metabolism (FBG ≥ 5.1 mmol/L).

Clinical and genetic features of Charcot-Marie-Tooth disease 2F and hereditary motor neuropathy 2B in Japan.

Mutations in small heat shock protein beta-1 (HspB1) have been linked to Charcot-Marie-Tooth (CMT) disease type 2F and distal hereditary motor neuropathy type 2B. Only four cases with HSPB1 mutations have been reported to date in Japan. In this study between April 2007 and October 2014, we conducted gene panel sequencing in a case series of 1,030 patients with inherited peripheral neuropathies (IPNs) using DNA microarray, targeted resequencing, and whole-exome sequencing. We identified HSPB1 variants in 1.3% (13 of 1,030) of the patients with IPNs, who exhibited a male predominance. Based on neurological and electrophysiological findings, seven patients were diagnosed with CMT disease type 2F, whereas the remaining six patients were diagnosed with distal hereditary motor neuropathy type 2B. P39L, R127W, S135C, R140G, K141Q, T151I, and P182A mutations identified in 12 patients were described previously, whereas a novel K123* variant with unknown significance was found in 1 patient. Diabetes and impaired glucose tolerance were detected in 6 of the 13 patients. Our findings suggest that HSPB1 mutations result in two phenotypes of inherited neuropathies and extend the phenotypic spectrum of HSPB1-related disorders.

Gestational retinal microvasculature and the risk of 5 year postpartum abnormal glucose metabolism.

AIMS/HYPOTHESIS: Changes in retinal microvasculature may reflect insulin resistance. We examined the association of changes in retinal microvasculature during pregnancy and risk of subsequent abnormal glucose metabolism in a cohort of mothers at baseline and 5 years postpartum. METHODS: Of the participants from the Singapore birth cohort (Growing Up in Singapore Towards Healthy Outcomes [GUSTO]), 276 mothers attended both baseline (at 26-28 weeks of gestation) and follow-up (5 year postpartum) visits. At baseline we performed retinal photography and assessed retinal microvascular variables using a validated grading system. At follow-up, we assessed glucose tolerance using a 75 g OGTT. We defined abnormal glucose metabolism if participants: (1) had onset of gestational diabetes mellitus (GDM) in subsequent pregnancies within a 5 year follow-up period (n = 103) or (2) had prediabetes (impaired fasting glucose, impaired glucose tolerance or HbA1c 5.7-6.4% [39-46 mmol/mol]) and diabetes diagnosed at the 5 year follow-up visit (n = 84), according to WHO guidelines. RESULTS: The incidence of GDM in subsequent pregnancy and abnormal glucose metabolism 5 years postpartum was 25.2% and 30.4%, respectively. Each 10 µm widening in retinal venular calibre was associated with a significant risk of postpartum abnormal glucose metabolism (RR 1.2 [95% CI 1.0, 1.5]), independent of maternal age, college education, ethnicity, pre-pregnancy BMI and GDM at baseline. Narrower retinal arteriolar calibre and venular branching angle at baseline was associated with a higher insulin resistance index (1.4 [95% CI 1.1, 1.7] and 1.3 [95% CI 1.1, 1.6], respectively) at follow-up. CONCLUSIONS/INTERPRETATION: Retinal microvasculature in pregnant women was associated with abnormal glucose metabolism 5 years postpartum. Alteration of microvascular structure during pregnancy may signal subclinical changes that underlie the development of prediabetes and diabetes.

Prospective evaluation of abnormal glucose metabolism and insulin resistance in patients with atypical endometrial hyperplasia and endometrial cancer.

PURPOSE: Obesity and diabetes (DM) are known to increase the risk of endometrial cancer (EC). However, little is known about the prevalence of abnormal glucose metabolism and insulin resistance (IR) in EC patients. We aimed to evaluate the prevalence of abnormal glucose metabolism and IR in EC patients. METHODS: We prospectively enrolled atypical endometrial hyperplasia (AEH) and EC patients who had received planned treatment at Chiba University Hospital, Japan. All patients, except those with a confirmed diagnosis of DM, underwent the 75-g oral glucose tolerance test (OGTT) before treatment. We evaluated the prevalence of obesity, defined as body mass index (BMI) ≥25, IR, abnormal glucose metabolism, and the associations between these three factors and the clinical characteristics of AEH and EC patients. RESULTS: We enrolled 279 patients from April 2009 to March 2015. Of these, 56 had a confirmed diagnosis of DM. Abnormal OGTT results, including impaired fasting glucose (n = 7), impaired glucose tolerance (n = 69), and newly identified DM (n = 33), were noted in 109 patients. Obesity, IR, and abnormal glucose metabolism were observed in 49.8, 51.6, and 59.1% of patients, respectively. Abnormal glucose metabolism was significantly associated with age (P < 0.001), body mass index (P = 0.004), and IR status (P < 0.001) in multivariate analysis. CONCLUSION: Abnormal glucose metabolism, IR, and obesity were highly prevalent in patients with AEH and EC. These results indicate that physicians should consider a patient's metabolic status in the postoperative management of AEH and EC patients.

Preliminary validation of an exercise program suitable for pregnant women with abnormal glucose metabolism: inhibitory effects of Tai Chi Yuttari-exercise on plasma glucose elevation.

[Purpose] There is insufficient evidence related to exercise programs that are safe and efficacious for pregnant women with abnormal glucose metabolism. Tai Chi Yuttari-exercise is an exercise program with validated safety and efficacy in improving physical function in the elderly. In this study, we investigated this program's inhibitory effects on plasma glucose elevation when it was adapted to a pregnancy model. [Subjects and Methods] Twelve 18- to 19-year-old females without a history of pregnancy were randomly assorted into two groups: an intervention group, for which six subjects were outfitted with mock-pregnancy suits and asked to perform Tai Chi Yuttari-exercise, and a control group who did not perform exercise. The intervention group had a mean Borg Scale score of 11.1 ± 0.9 during the exercise. [Results] No significant intragroup differences were observed in fasting, baseline, or post-intervention/observation plasma glucose levels. On the other hand, the intergroup change in plasma glucose levels after intervention/observation was significant when comparing the intervention and control groups: -1.66 ± 7.0 and 9.42 ± 6.57 mg/dl, respectively. [Conclusion] Tai Chi Yuttari-exercise appears to effectively inhibit plasma glucose elevation at intensity and movement levels that can be safely applied to pregnant women with abnormal glucose metabolism.

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.

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.

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.

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.

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.

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.

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.

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.].

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.