The association of isocarbophos and isofenphos with different types of glucose metabolism: The role of inflammatory cells.

To investigate the associations between isocarbophos and isofenphos with impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM), and to assess the mediation roles of inflammation cells. There were 2701 participants in the case-control study, including 896 patients with T2DM, 900 patients with IFG, 905 subjects with NGT. Plasma isocarbophos and isofenphos concentrations were measured using gas chromatography and triple quadrupole tandem mass spectrometry. Generalized linear models were used to calculate the relationships between plasma isofenphos and isocarbophos levels with inflammatory factor levels and T2DM. Inflammatory cell was used as mediators to estimate the mediating effects on the above associations. Isocarbophos and isofenphos were positively related with T2DM after adjusting for other factors. The odds ratio (95% confidence interval) (OR (95%CI)) for T2DM was 1.041 (1.015, 1.068) and for IFG was 1.066 (1.009, 1.127) per unit rise in ln-isocarbophos. The prevalence of T2DM increased by 6.4% for every 1 unit more of ln-isofenphos (OR (95% CI): 1.064 (1.041, 1.087)). Additionally, a 100% rise in ln-isocarbophos was linked to 3.3% higher ln-HOMA2IR and a 0.029 mmol/L higher glycosylated hemoglobin (HbA1c) (95% CI: 0.007, 0.051). While a 100% rise in ln-isofenphos was linked to increase in ln-HOMA2 and ln-HOMA2IR of 5.8% and 3.4%, respectively. Furthermore, white blood cell (WBC) and neutrophilic (NE) were found to be mediators in the relationship between isocarbophos and T2DM, and the corresponding proportions were 17.12% and 17.67%, respectively. Isofenphos and isocarbophos are associated with IFG and T2DM in the rural Chinese population, WBC and NE have a significant role in this relationship.

Effects of Acute Exposure to Methylglyoxal or/and A Diet Rich in Advanced Glycation End Products on Sperm Parameters in Mice.

BACKGROUND: Advanced glycation end products (AGEs) that accompany many metabolic disorders including diabetes, obesity, and a wide range of dyslipidemia conditions, are strongly associated with adverse effects on cell and tissue homeostasis. Accordingly, our objective was to investigate the impact of AGE-promoting diets on mouse models, considering both scenarios with and without methylglyoxal (MGO) as a primary precursor of AGEs. MATERIALS AND METHODS: In this experimental study, 5-week-old C57BL/6 mice were split into four groups as a control group (n=5), AGE (n=5), MGO (n=8), and AGE-MGO-diets (n=8). After five weeks the level of fasting blood sugar (FBS), body weight, food intake, sperm parameters, and functional tests were evaluated. Furthermore, testicular superoxide dismutase (SOD) activity, malondialdehyde, and total antioxidant capacity (TAC) were assessed. RESULTS: After five weeks, AGE, AGE-MGO, and MGO groups showed the highest level of body weight and FBS in comparison to the control group. Mean sperm concentration, sperm malondialdehyde, testicular lipid peroxidation, and TAC did not differ significantly among the study groups. While, AGE, MGO, and AGE-MGO groups showed a significant reduction in sperm motility and progressive motility compared to the control group (P<0.05). The greatest increases in abnormal sperm morphology and intracytoplasmic reactive oxygen species (ROS) were observed in the MGO and AGE-MGO groups than in the control group (P<0.05). Sperm protamine deficiency and residual histone were significantly increased in the three treatment groups compared to the control group (P<0.05). Regarding the DNA damage, the AGE and AGE-MGO groups showed the most severe damage. The lowest amount of testicular superoxide dismutases (SOD, P<0.001) was observed in the AGE-MGO group. CONCLUSION: AGEs and MGO have a negative influence on sperm function and reproductive potential. These effects could be possibly attributed to both increased oxidative stress (OS) and inflammation.

Maternal gestational diabetes mellitus associates with altered gut microbiome composition and head circumference abnormalities in male offspring.

The impact of gestational diabetes mellitus (GDM) on maternal or infant microbiome trajectory remains poorly understood. Utilizing large-scale longitudinal fecal samples from 264 mother-baby dyads, we present the gut microbiome trajectory of the mothers throughout pregnancy and infants during the first year of life. GDM mothers had a distinct microbiome diversity and composition during the gestation period. GDM leaves fingerprints on the infant's gut microbiome, which are confounded by delivery mode. Further, Clostridium species positively correlate with a larger head circumference at month 12 in male offspring but not females. The gut microbiome of GDM mothers with male fetuses displays depleted gut-brain modules, including acetate synthesis I and degradation and glutamate synthesis II. The gut microbiome of female infants of GDM mothers has higher histamine degradation and dopamine degradation. Together, our integrative analysis indicates that GDM affects maternal and infant gut composition, which is associated with sexually dimorphic infant head growth.

Comprehensive analysis of the association between triglyceride-glucose index and coronary artery disease severity across different glucose metabolism states: a large-scale cross-sectional study from an Asian cohort.

BACKGROUND: The triglyceride-glucose (TyG) index is associated with the development and prognosis of coronary artery disease (CAD). However, the impact of the TyG index on CAD severity across different glucose metabolism states exhibits significant disparities in previous research. METHODS: This cross-sectional study comprised 10,433 participants from a prospective cohort. Participants were categorized into four groups based on glucose metabolism state: normal glucose regulation (NGR), prediabetes (pre-DM), diabetes mellitus (DM) without insulin prescribed (Rx), and DM with insulin Rx. The TyG index was determined by the following formula: Ln [TG (mg/dL) × FPG (mg/dL) / 2], where TG is triglycerides and FPG is fasting plasm glucose. Statistical methods such as binary logistic regression, interaction analysis, restricted cubic spline (RCS), and receiver operating characteristic (ROC) were employed to analyze the relationship between the TyG index and CAD severity across the entire population and glucose metabolism subgroups. Mediation analysis was conducted to examine the mediating effects of glycated hemoglobin (HbA1c) on these relationships. Sensitivity analysis was performed to ensure the robustness of the findings. RESULTS: Multivariable logistic regression analysis revealed a significant positive association between the TyG index and multi-vessel CAD in the entire population (OR: 1.34; 95% CI: 1.22-1.47 per 1-unit increment). Subgroup analysis demonstrated consistent positive associations in the NGR, pre-DM, and DM non-insulin Rx groups, with the highest OR observed in the NGR group (OR: 1.67; 95% CI: 1.3-2.14 per 1-unit increment). No correlation was found in the DM with insulin Rx subgroup. RCS analyses indicated the distinct dose-response relationships across different glucose metabolism subgroups. Including the TyG index in the established model slightly improved the predictive accuracy, particularly in the NGR group. Mediation analyses showed varying mediating effects of HbA1c among different glucose metabolism subgroups. Sensitivity analysis confirmed the robustness of the aforementioned relationships in the new-onset CAD population and in individuals not using antilipidemic medications. CONCLUSIONS: The TyG index positively associated with CAD severity across all glucose metabolism states, except for individuals receiving insulin treatment. Moreover, it might serve as a supplementary noninvasive predictor of CAD severity in addition to established factors, especially in NGR patients.

Investigating the Interplay: Periodontal Disease and Type 1 Diabetes Mellitus-A Comprehensive Review of Clinical Studies.

Diabetes mellitus (DM) poses a significant challenge to global health, with its prevalence projected to rise dramatically by 2045. This narrative review explores the bidirectional relationship between periodontitis (PD) and type 1 diabetes mellitus (T1DM), focusing on cellular and molecular mechanisms derived from the interplay between oral microbiota and the host immune response. A comprehensive search of studies published between 2008 and 2023 was conducted to elucidate the association between these two diseases. Preclinical and clinical evidence suggests a bidirectional relationship, with individuals with T1DM exhibiting heightened susceptibility to periodontitis, and vice versa. The review includes recent findings from human clinical studies, revealing variations in oral microbiota composition in T1DM patients, including increases in certain pathogenic species such as Porphyromonas gingivalis, Prevotella intermedia, and Aggregatibacter actinomycetemcomitans, along with shifts in microbial diversity and abundance. Molecular mechanisms underlying this association involve oxidative stress and dysregulated host immune responses, mediated by inflammatory cytokines such as IL-6, IL-8, and MMPs. Furthermore, disruptions in bone turnover markers, such as RANKL and OPG, contribute to periodontal complications in T1DM patients. While preventive measures to manage periodontal complications in T1DM patients may improve overall health outcomes, further research is needed to understand the intricate interactions between oral microbiota, host response, periodontal disease, and systemic health in this population.

Association of polymorphisms within P2RX4 with type 2 diabetes mellitus: a preliminary case-control study.

OBJECTIVE: Type 2 diabetes mellitus (T2DM) is a complex heterogenic metabolic with a wide range of etiology. Purinergic receptors have pivotal roles in different processes and are hypothesized to have roles in the pathogenesis of T2DM. MATERIALS AND METHODS: Three hundred subjects affected by T2DM and 300 healthy subjects were genotyped by amplification refractory mutation system polymerase chain reaction (ARMS-PCR). SPSS V16.0 was recruited for statistical analysis. RESULTS: The findings showed that the G allele of rs25644A > G increases the risk of T2DM in our population statistically (OR = 1.51, 95% CI = 1.14-1.99, p = 0.003). This allele in some genotype models, including the dominant model, caused an increase in the risk of T2DM. The interaction of genotypes between studied variants in the P2XR4 gene increased the risk of T2DM. Haplotype analysis showed that Ars1169727/Grs25644 haplotype caused an increase in the risk of T2DM. CONCLUSIONS: The findings suggest that rs25644A > G plays a role in our population's increased risk of T2DM.

Semaglutide for the prevention of atrial fibrillation: A systematic review and meta-analysis.

BACKGROUND: Semaglutide, a glucagon-like peptide-1 receptor agonist, is reported to have cardiac benefits, but its effects on preventing atrial fibrillation (AF) remain inconclusive. This study aimed to investigate whether semaglutide can prevent AF occurrence in patients with type 2 diabetes mellitus (T2DM), obesity, or overweight. METHODS: We searched MEDLINE, EMBASE, the Cochrane CENTRAL database, and clinicaltrials.gov from inception to December 29, 2023. Randomized controlled trials of semaglutide in patients with T2DM, obesity, or overweight were included. The primary outcome was AF occurrence. Relative risks (RRs) with 95 % confidence intervals (CIs) were calculated for the overall population and subgroups. RESULTS: Twenty-one trials comprising 25957 patients were included. In the overall pooled analysis, semaglutide decreased AF occurrence compared to control drugs (RR 0.70, 95 % CI 0.52-0.95). This result was consistent in trials using other antihyperglycemic medications as controls (RR 0.43, 95 % CI 0.21-0.89), but not in placebo-controlled trials (RR 0.77, 95 % CI 0.56-1.07). The outcome was favorable for patients with T2DM (RR 0.71, 95 % CI 0.52-0.97), but not for patients with overweight or obesity (RR 0.56, 95 % CI 0.18-1.73). Results varied by type of semaglutide, with oral semaglutide showing an RR of 0.49 (95 % CI 0.25-0.97) and subcutaneous semaglutide showing an RR of 0.77 (95 % CI 0.55-1.07). CONCLUSION: Semaglutide was associated with a reduced risk of AF occurrence in the overall analysis. Favorable outcomes were observed in subsets using other antihyperglycemic medications as controls, in patients with T2DM, and with oral semaglutide.

Antibodies against glutamic acid decarboxylase in intravenous immunoglobulin preparations can affect the diagnosis of type 1 diabetes mellitus.

BACKGROUND AND OBJECTIVES: Intravenous immunoglobulins (IVIgs) contain various autoantibodies, including those against glutamic acid decarboxylase (GADAb), a valuable biomarker of type 1 diabetes mellitus. Passive transfer of GADAb from IVIgs to patients poses a risk of misdiagnosis, and information on the specific titres of GADAb and their impact on diagnostic accuracy remains limited. This study aimed to provide further insights into the origin of GADAb detected in patient serum following IVIg infusion. MATERIALS AND METHODS: GADAb titres in IVIg products from Japan and the United States were measured using enzyme-linked immunosorbent assay-based assays. For reliable quantification, GADAb titres in pooled plasma were quantified and compared with those in the IVIg products. The determined titres were used to estimate the likelihood of passively detecting acquired GADAb in individuals receiving IVIgs. RESULTS: GADAbs were prevalent in IVIg products; however, the titres varied significantly among different lots and products. Importantly, IVIg-derived GADAb was estimated to remain detectable in patient serum for up to 100 days following a dosage of 2000 mg/kg. CONCLUSION: Clinicians should consider that IVIg preparations may contain GADAb, which can lead to false-positive results in serological assays. Careful interpretation of the assay results is key to the definitive diagnosis of type 1 diabetes mellitus.

Usefulness of triglyceride-glucose index and homeostatic model assessment for predicting coronary microvascular dysfunction.

BACKGROUND: Coronary microvascular dysfunction (CMD) is a common occurrence in individuals with insulin resistance (IR). Homeostatic model assessment for insulin resistance (HOMA-IR) is a widely used surrogate marker of IR, although recent studies suggest Triglyceride-Glucose (TyG) index is a superior marker of IR that had a better accuracy to predict Type 2 Diabetes or cardiovascular outcomes than HOMA-IR. OBJECTIVES: We aimed to assess the accuracy and usefulness of TyG index and HOMA-IR for predicting CMD as assessed with echocardiographic coronary flow reserve (CFR) measurement. METHODS: All cases included in the institutional CFR registry were retrospectively reviewed, and 656 cases without epicardial coronary artery disease and without major risk factors for atherosclerosis were included. A CFR ≤2.0 was defined as CMD. RESULTS: TyG index was available in all cases, while HOMA-IR was available in 398 cases. Both TyG index and HOMA-IR were associated with CMD on univariate analyses, while after adjustment for potential confounders HOMA-IR (OR:1.38, 95 %CI:1.14-1.67, p = 0.001) but not TyG index(OR:1.48, 95 %CI:0.82-2.67, p = 0.19) was associated with CMD. The predictive accuracy of HOMA-IR (c-statistic:0.63, 95 %CI:0.54-0.72, p = 0.003) was higher than TyG index(c-statistic:0.55, 95 %CI:0.47-0.63, p = 0.13), although the difference was not statistically significant (DeLong p = 0.23). There was strong evidence favoring a true difference between CMD vs. non-CMD groups for HOMA-IR (BF10:3507) but not for TyG index(BF10:0.66). CONCLUSIONS: HOMA-IR, but not TyG index, is closely associated with CMD.

A web-based scoping review assessing the influence of smoking and smoking cessation on antidiabetic drug meabolism: implications for medication efficacy.

Currently 1.3 billion individuals globally engage in smoking, leading to significant morbidity and mortality, particularly among diabetic patients. There is urgent need for a better understanding of how smoking influences antidiabetic treatment efficacy. The review underscores the role of cigarette smoke, particularly polycyclic aromatic hydrocarbons (PAHs), in modulating the metabolic pathways of antidiabetic drugs, primarily through the induction of cytochrome P450 (CYP450) enzymes and uridine diphosphate (UDP)-glucuronosyltransferases (UGTs), thus impacting drug pharmacokinetics and therapeutic outcomes. Furthermore, the review addresses the relatively uncharted territory of how smoking cessation influences diabetes treatment, noting that cessation can lead to significant changes in drug metabolism, necessitating dosage adjustments. Special attention is given to the interaction between smoking cessation aids and antidiabetic medications, a critical area for patient safety and effective diabetes management. This scoping review aims to provide healthcare professionals with the knowledge to better support diabetic patients who smoke or are attempting to quit, ensuring tailored and effective treatment strategies. It also identifies gaps in current research, advocating for more studies to fill these voids, thereby enhancing patient care and treatment outcomes for this at-risk population.

Eye care service utilization and associated factors among diabetic patients in Africa: A Systematic Review and Meta-Analysis.

Introduction: 'Vision 2020, the Right to Sight', jointly coordinated by the World Health Organization's program for the prevention of blindness and deafness and the international agency for the prevention of blindness, was launched in 1999, however, the initiative faces many challenges to hitting its target. One of the challenges for this is, the absence of comprehensive data regarding eye care service utilization among diabetes mellitus patients in Africa. Therefore, this study was aimed at assessing the prevalence of eye care service utilization and associated factors among adult diabetes mellitus patients in Africa. Methods: This systematic review and meta-analysis was conducted as per the international preferred reporting items for systematic review and meta-analysis protocols (PRISMA) guidelines. Published articles were searched using reputable databases (PubMed, Cochrane Library) and Web searches (Science Direct, African Journals Online, and Google Scholar). Quality appraisal was assessed based on the Joanna Briggs Institute's (JBI) critical appraisal checklist. The extracted data was exported to STATA version 11 (STATA Corp., LLC) for further analysis. Heterogeneity between the results of primary studies was assessed using Cochran's Q chi-square test and quantified with the I2 statistics. Publication bias was assessed by visual inspection of the funnel plot and Egger's regression tests. Results: The database search found 26,966 articles. The pooled prevalence of eye care service utilization among diabetic patients in Africa is found to be 40.92 % (95 % CI: 27.14-54.70, P < 0.001). Good knowledge (POR = 3.57, 95 % CI: 2.67-4.76), good attitude (POR = 5.68, 95 % CI: 4.20-7.68), age greater than 65 years old (POR = 7.11, 95 % CI: 3.86-13.10), urban residence (POR = 5.03, 95 % CI: 2.12-11.96), and disease duration greater than 6 years (POR = 3.81, 95 % CI: 2.25-6.45) were factors associated with eye care service utilization. Conclusion: This meta-analysis revealed that a high proportion of people with diabetes failed to use eye care services. Older age, good knowledge, urban residence and longer duration of illness were found to be the contributing factors for the utilization of eye care services in diabetes mellitus patients. Therefore, by considering the negative impact of low eye care service utilization, it is important to improve the habit of regular screening of the eye into routine assessment of diabetes mellitus follow up targeting patients with older age and longer duration of illness to reduce the magnitude of the problem.

Associations between new obesity indices and abnormal bone density in type 2 diabetes mellitus patients.

The clinical data analysis found that, compared with the traditional obesity index, the waist-weight ratio (WWR) has more advantages in predicting abnormal bone mineral density in subjects with type 2 diabetes. WWR may serve as a new predictive indicator for osteoporosis in T2DM patients. PURPOSE: This study was designed to explore the correlation between obesity-related indices and bone mineral density (BMD) and its influencing factors in type 2 diabetes mellitus (T2DM) patients. METHODS: A total of 528 patients with type 2 diabetes were recruited. Glucose tolerance, insulin stimulation, and blood biochemical tests were conducted on all participants. All subjects underwent dual-energy X-ray bone density testing and were grouped based on the bone density results. RESULTS: Compared with those in the normal BMD group, the waist-to-body weight ratio (WWR) and weight-adjusted-waist index (WWI) in the osteopenia and osteoporosis groups were significantly greater, while body mass index (BMI) was significantly lower (P < 0.05). The logistic regression results showed that the WWR, WWI, and BMI were independently correlated with abnormal BMD in T2DM patients (P < 0.05). WWR and the WWI were negatively correlated with the T-value of bone density in various parts of the body, while BMI was positively correlated with the T-value of bone density (P < 0.05). The area under the working characteristic curve (AUC) for T2DM patients with abnormal bone mass predicted by the WWR [0.806, 95% CI = (0.770-0.843), P < 0.001] was greater than that for patients with other obesity indicators, such as the WWI and BMI. CONCLUSION: We found a positive correlation between the WWR and bone density in T2DM patients. Compared with other obesity indicators, such as BMI and WWI, the WWR has a stronger discriminative ability for T2DM patients with abnormal bone density. Therefore, more attention should be given to the WWR in T2DM patients.

The association between dietary patterns before pregnancy and gestational diabetes mellitus: a matched case-control study in China.

BACKGROUND AND OBJECTIVES: We aimed to explore the relationship between dietary patterns and gestational diabetes mellitus (GDM) during pre-pregnancy six months using principal component analysis (PCA) and the geometric framework for nutrition (GFN). METHODS AND STUDY DESIGN: We conducted a case-control study that included 210 GDM pregnant women and 210 controls. The dietary intake of all participants was assessed by a validated semi-quantitative food frequency questionnaire (FFQ). Major dietary patterns were extracted by PCA. A conditional logistic regression model was used to determine whether specific dietary patterns are associated with the risk of GDM. Meanwhile, the relationship between dietary patterns and GDM was visualized using GFN. RESULTS: Four major dietary patterns were identified: "protein-rich pattern," "plant-based pattern," "oil-pickles-desserts pattern," and "cereals-nuts pattern." After adjustment for confounders, the "plant-based pattern" was associated with decreased risk of GDM (Q4 vs. Q1: OR = 0.01, 95% CI: 0.00-0.08), whereas no significant association was found in other dietary patterns. Moreover, there was no dietary intake of ice cream cones and deep-fried dough sticks for the population, which would produce fewer patients with GDM. Deep-fried dough sticks had statistically significant differences in the case and control groups (p < 0.001), while ice cream cones had the opposite result. CONCLUSIONS: The "plant-based pattern" may reduce the risk of GDM. Besides, although the "cereals-nuts pattern" had no association with GDM risk, avoiding the intake of deep-fried dough sticks could decrease GDM risk.

Association of geriatric nutritional risk index with bone mineral density and osteoporosis in postmenopausal elderly women with T2DM.

BACKGROUND AND OBJECTIVES: To investigate the relationship between geriatric nutritional risk index (GNRI) and osteoporosis (OP) in postmenopausal elderly women with type 2 diabetes mellitus (T2DM). METHODS AND STUDY DESIGN: A total of 141 postmenopausal elderly women with T2DM was divided into OP and normal bone mineral density (BMD) groups, the differences in GRNI levels between the two groups were compared. According to the tertile levels of GRNI, T2DM were divided into three groups (T1, T2, T3 groups), and the differences in OP prevalence and levels of BMD among the three groups were compared. RESULTS: Among postmenopausal elderly women with T2DM, GNRI levels were lower in the OP group compared to the nor-mal BMD group [(103±5.46) vs. (105±5.46), p<0.05)]. With elevated GNRI levels, the BMD levels of femoral, total hip, total body, and lumbar vertebrae (L) were gradually increased, which were higher in the T3 group than in the T1 group (all p< 0.05). GNRI levels were positively correlated with the BMD levels of femoral, spine, total hip, total body, L1, L2, L3, L4, and L1-L4. GNRI was an independent influencing factor for the occurrence of OP (OR=0.887, 95%CI [0.795,0.988]). The ROC curve showed that the GNRI combined with serum ALP and P levels had a high predictive value for OP, with an area under the curve of 0.725 (p<0.01). CONCLUSIONS: In postmenopausal elderly women with T2DM, GNRI was independently and positively correlated with BMD levels. GNRI may be a predictor development of OP.

Combination therapy enhances efficacy and overcomes toxicity of metal-based anti-diabetic agent.

BACKGROUND AND PURPOSE: Metal-based therapeutic agents are limited by the required concentration of metal-based agents. Hereby, we determined if combination with 17ß-oestradiol (E2) could reduce such levels and the therapy still be effective in type 2 diabetes mellitus (T2DM). EXPERIMENTAL APPROACH: The metal-based agent (vanadyl acetylacetonate [VAC])- 17ß-oestradiol (E2) combination is administered using the membrane-permeable graphene quantum dots (GQD), the vehicle, to form the active GQD-E2-VAC complexes, which was characterized by fluorescence spectra, infrared spectra and X-ray photoelectron spectroscopy. In db/db type 2 diabetic mice, the anti-diabetic effects of GQD-E2-VAC complexes were evaluated using blood glucose levels, oral glucose tolerance test (OGTT), serum insulin levels, homeostasis model assessment (homeostasis model assessment of insulin resistance [HOMA-IR] and homeostasis model assessment of ß-cell function [HOMA-ß]), histochemical assays and western blot. KEY RESULTS: In diabetic mice, GQD-E2-VAC complex had comprehensive anti-diabetic effects, including control of hyperglycaemia, improved insulin sensitivity, correction of hyperinsulinaemia and prevention of ß-cell loss. Co-regulation of thioredoxin interacting protein (TXNIP) activation by the combination of metal complex and 17ß-oestradiol contributed to the enhanced anti-diabetic effects. Furthermore, a potent mitochondrial protective antioxidant, coniferaldehyde, significantly potentiates the protective effects of GQD-E2-VAC complexes. CONCLUSION AND IMPLICATIONS: A metal complex-E2 combinatorial approach achieved simultaneously the protection of ß cells and insulin enhancement at an unprecedented low dose, similar to the daily intake of dietary metals in vitamin supplements. This study demonstrates the positive effects of combination and multi-modal therapies towards type 2 diabetes treatment.

Excessive palmitic acid disturbs macrophage α-ketoglutarate/succinate metabolism and causes adipose tissue insulin resistance associated with gestational diabetes mellitus.

Abnormal polarization of adipose tissue macrophages (ATMs) results in low-grade systemic inflammation and insulin resistance (IR), potentially contributing to the development of diabetes. However, the underlying mechanisms that regulate the polarization of ATMs associated with gestational diabetes mellitus (GDM) remain unclear. Thus, we aimed to determine the effects of abnormal fatty acids on macrophage polarization and development of insulin resistance in GDM. Levels of fatty acids and inflammation were assessed in the serum samples and adipose tissues of patients with GDM. An in vitro cell model treated with palmitic acid was established, and the mechanisms of palmitic acid in regulating macrophage polarization was clarified. The effects of excessive palmitic acid on the regulation of histone methylations and IR were also explored in the high-fat diet induced GDM mice model. We found that pregnancies with GDM were associated with increased levels of serum fatty acids, and inflammation and IR in adipose tissues. Increased palmitic acid could induce mitochondrial dysfunction and excessive ROS levels in macrophages, leading to abnormal cytoplasmic and nuclear metabolism of succinate and α-ketoglutarate (αKG). Specifically, a decreased nuclear αKG/succinate ratio could attenuate the enrichment of H3K27me3 at the promoters of pro-inflammatory cytokines, such as IL-1ß, IL-6, and TNF-α, leading to cytokine secretion. Importantly, GDM mice treated with GSK-J4, an inhibitor of histone lysine demethylase, were protected from abnormal pro-inflammatory macrophage polarization and excessive production of pro-inflammatory cytokines. Our findings highlight the importance of the metabolism of αKG and succinate as transcriptional modulators in regulating the polarization of ATMs and the insulin sensitivity of adipose tissue, ensuring a normal pregnancy. This novel insight sheds new light on gestational fatty acid metabolism and epigenetic alterations associated with GDM.

Diabetes mellitus in stroke unit: prevalence and outcomes-the Verona acute coronary syndrome and stroke in diabetes outcome (VASD-OUTCOME) study.

BACKGROUND: Cerebrovascular accidents (CVA) represent a major complication in diabetes (DM). Real-life evidence as to whether modern management of CVA and DM have softened this relationship is limited. Therefore, we estimated prevalence and impact of DM on in-hospital survival and complications in a contemporary cohort of subjects with CVA. METHODS: We retrospectively evaluated the records of 937 patients admitted for CVA at the Stroke Unit of Verona University Hospital during a 3-year period. Pre-existing or de novo DM was ascertained by prior diagnosis, glucose-lowering therapy at admission/discharge or admittance plasma glucose ≥ 200 mg/dL. Multiple regressions were applied to test DM as predictor of in-hospital mortality, complications (composite of infections, cardio- and cerebrovascular complications, major bleeding and pulmonary complications), duration and costs of hospitalization. RESULTS: Diabetes prevalence was 21%, of which 22% de novo diagnoses. Compared to non-DM, diabetic individuals were older and carried an increased burden of cardiovascular risk factors. Compared to known DM, de novo DM individuals were younger, had higher admittance plasma glucose and poorer cardiovascular comorbidities. Overall, DM versus non-DM individuals did not show significantly increased risk of death (14.0 vs. 9.3%; crude-OR 1.59 95% CI 0.99-2.56). Controlling for confounders did not improve significance. DM resulted independent predictor for in-hospital complications (36.2% vs. 26.9%; adj-OR 1.49, 1.04-2.13), but not for duration and costs of hospitalization. CONCLUSION: DM frequently occurs in patients admitted for stroke and carries an excess burden of adverse in-hospital complications, urgently calling for strategies to anticipate DM diagnosis and tailored treatment in high-risk individuals.

Available evidence on fetal liver changes detected by ultrasound in pregnant women with gestational diabetes mellitus: Systematic review.

The aim of this systematic review was to examine the available scientific literature on ultrasound-detected fetal liver changes in pregnant women with gestational diabetes mellitus (GDM) and to explore the potential of these markers to inform clinical management and improve outcomes. A total of four articles investigating fetal liver changes in GDM pregnancies were selected. The studies varied in methodology, gestational age studied, and diagnostic criteria for GDM. Fetal liver indices, such as fetal liver length and fetal liver volume, emerged as potential markers for identifying GDM and predicting adverse outcomes. Studies suggest an association between fetal liver changes and GDM, with implications for both maternal glycemic control and fetal metabolic adaptation. Variability in study methodology highlights the need for standardized approaches to assess fetal hepatic indices and their correlation with GDM outcomes.

A cross-sectional time series of cardiometabolic health education format preferences across sociodemographic groups.

AIMS: Health education is integral to cardiometabolic disease (CMD) management. This study aimed to assess whether and how education preferences have changed over time, and whether trends differ by sociodemographic characteristics (education status, age, ethnicity, and sex). METHODS: A cross-sectional questionnaire was deployed across five counties in the East Midlands, UK between 2017 and 2022 to adults with CMD (type 2 diabetes, cardiovascular disease or cerebrovascular disease). Respondent demographic data were collected alongside health education preferences. Statistical analyses ascertained whether demographic characteristics influenced preferences. The distribution of preferences over time was charted to identify trends. RESULTS: A total of 4301 eligible responses were collected. Face-to-face one-to-one education was preferred (first choice for 75.1% of participants) but popularity waned over the five-year period. Trends were similar amongst demographic groups. Online education showed a U-shaped trend: In 2017, 44% of respondents ranked it as acceptable, peaking at 53% in 2019, but declining again, to below base line, 43%, by 2022. This modality was more popular with participants aged younger than 65 years, but popularity in people older than 65 years increased over the study period. The popularity of printed information also declined over time across all demographic groups except those of South Asian ethnicity, for whom it remained static. CONCLUSIONS: The overwhelming preference for face-to-face one-to-one health education from a doctor or nurse highlights the importance of preserving access to this modality, even in the face of current NHS pressures and trends towards digitalisation. Trends are changing, and should continue to be monitored, including between different sociodemographic groups.

Unlocking Optimal Glycemic Interpretation: Redefining HbA1c Analysis in Female Patients With Diabetes and Iron-Deficiency Anemia Using Machine Learning Algorithms.

OBJECTIVE: In response to the nuanced glycemic challenges faced by women with iron deficiency anemia (IDA) associated with diabetes, this study uses advanced machine learning algorithms to redefine hemoglobin (Hb)A1c measurement values. We aimed to improve the accuracy of glycemic interpretation by recognizing the critical interaction between erythrocytes, iron, and glycemic levels in this specific demographic group. METHODS: This retrospective observational study included 17,526 adult women with HbA1c levels recorded from 2017 to 2022. Samples were classified as diabetic, prediabetic, or non-diabetic based on HbA1c and fasting blood glucose (FBG) levels for distribution analysis without impacting model training. Support Vector Machines, Linear Regression, Random Forest, and K-Nearest Neighbor algorithms as machine learning (ML) methods were used to predict HbA1c levels. Following the training of the model, HbA1c values were predicted for the IDA samples using the trained model. RESULTS: According to our results, there has been a 0.1 unit change in HbA1c values, which has resulted in a clinical decision change in some patients. DISCUSSION: Using ML to analyze HbA1c results in women with IDA may unveil distinctions among patients whose HbA1c values hover near critical medical decision thresholds. This intersection of technology and laboratory science holds promise for enhancing precision in medical decision-making processes.