Risk Factors For Type 2 Diabetes Mellitus Research Articles

Exploring Risk Factors of Type 2 Diabetes Mellitus Using Decision Tree and Random Forest Models: Baseline Data From Kharameh Cohort Study

Background and aims: Identifying subjects that are at risk of type 2 diabetes mellitus (T2DM) and predicting the associated risk factors are highly important. Thus, this study aimed to explore the risk factors and find the prediction model for T2DM using decision trees (DTs) and random forest (RF) models. Methods: This cross-sectional study is a part of the Kharameh Cohort Study. Kharameh Cohort is a part of the Fars Cohort, which started in 2014 with 10663 people aged 40–70. In this study, the risk factors of T2DM were explored using two data mining methods. Accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were applied to evaluate the models. The data were statistically analyzed using R software. Results: The DT modeling showed that age, triglycerides (TG), physical activity, systolic blood pressure, low-density lipoproteins (LDL), and body mass index (BMI) were the most associated factors in D2MT, while applying RF revealed that fasting blood sugar, cholesterol, creatinine, TG, gamma-glutamyl transferase physical activity, BMI, and LDL were the most effective on T2DM. The RF model was superior to the DT based on the applied criteria. Sensitivity, specificity, accuracy, and AUC for the RF were 73.4, 70.10, 73.5, and 79.1. These findings for the DT were 63.8, 69.7, 62.8, and 66.8, respectively. Conclusion: Based on the inferences, a strong association was found between several risk factors and the risk of T2DM. Therefore, predictive analytics using the RF model can be applied to identify the risk factors of other chronic diseases.

Do poor psychosocial resources mediate health inequalities in type 2 diabetes? The Maastricht Study

Abstract Low socioeconomic position (SEP) has been identified as a risk factor for type 2 diabetes mellitus (T2DM). A potential pathway of this association is psychosocial resources. Disadvantageous environmental conditions result in low control beliefs through adverse resources and inferiority beliefs through social comparison for people with a low SEP. We examined two poor psychosocial resources, low control beliefs and inferiority beliefs, to explain socioeconomic inequalities in T2DM. We analysed mediating roles of low control beliefs and inferiority beliefs by using counterfactual mediation analysis. 8293 participants aged 40-75 living in Limburg, the Netherlands participated in The Maastricht Study starting from September 2010 to October 2020 and were followed up to 10 years with annual questionnaires with a median follow-up time of 7.18 years. SEP (education, income, occupation), control and inferiority beliefs, and (pre)diabetes by oral glucose tolerance test were measured at baseline. Incident T2DM was self-reported per annum. 3.2%(N = 203) of the participants without T2DM at baseline reported incident T2DM. People with low SEP had more often prevalent and incident T2DM (e.g., low education:HR=2.13, 95%CI:1.53-2.97). Lower control beliefs and higher inferiority beliefs were more common among people with low SEP than people with high SEP. Moreover, lower control beliefs and higher inferiority beliefs were risk factors for T2DM (e.g., low control beliefs: HR = 1.50, 95%CI:1.08-2.09). The relationship between SEP and T2DM was partially mediated by control beliefs (7.98-13.56%) and inferiority beliefs (2.16-4.53%). Poor psychosocial resources are important in socioeconomic inequalities in diabetes. Researchers and practitioners should consider the psychosocial profile of people with lower SEP might differ from those with higher SEP and this might interfere with the development, treatment, and prevention of T2DM. We should aim to work with such beliefs, instead of against it. Key messages • Socioeconomic health inequalities in diabetes has many underlying mechanism including psychosocial pathways. • Interventions and research should consider the different environment of low SEP and psychosocial profiles of people. We should aim to work with it, instead of against it.

Accelerated biological aging, mediating amino acids, and risk of incident type 2 diabetes: a prospective cohort study.

Aging plays an important role in type 2 diabetes mellitus (T2DM). But the association between accelerated biological age and T2DM, and the mechanisms underlying this association remains unclear. Thus, this study aimed to examine the associations of biological aging with T2DM, and explore the potential mediation effect of amino acids. This prospective cohort study included 95,773 participants in the UK Biobank who were free of diabetes at baseline. Biological age was measured from clinical traits using PhenoAgeAccel. Cox proportional hazard models were used to estimate the hazard ritios (HRs) and 95% confidence intervals (CIs), and mediation analysis was used to explore the mediation effect of amino acids. During a median follow-up of 14.02 years, 6,347 incident T2DM cases were recorded. After multivariable adjustment for sociodemographic characteristics, lifestyle factors, and other risk factors of T2DM, participants with older biological age were at increased risk of incident T2DM (30% increase per standard deviation of PhenoAgeAccel, 95% CI: 28.0-33.0%). Additionally, higher branched chain amino acids (BCAAs) including isoleucine and leucine, aromatic amino acids (AAAs) including phenylalanine and tyrosine, were associated with increased PhenoAgeAccel and risk of incident T2DM; while glutamine and glycine were inversely associated. Alanine, glutamine, glycine, phenylalanine, tyrosine, isoleucine, leucine, and total concentration of branched-chain amnio acids could partially explain the associations between PhenoAgeAccel and T2DM. Accelerated biological aging was associated with increased risk of incident T2DM independent of chronological age and may be a risk factor of T2DM, partially mediated by several amino acids.

Progress in Cardiac Magnetic Resonance Feature Tracking for Evaluating Myocardial Strain in Type-2 Diabetes Mellitus.

The global prevalence of type-2 diabetes mellitus (T2DM) has caused harm to human health and economies. Cardiovascular disease is one main cause of T2DM mortality. Increased prevalence of diabetes and associated heart failure (HF) is common in older populations, so accurately evaluating heart-related injury and T2DM risk factors and conducting early intervention are important. Quantitative cardiovascular system imaging assessments, including functional imaging during cardiovascular disease treatment, are also important. The left-ventricular ejection fraction (LVEF) has been traditionally used to monitor cardiac function; it is often preserved or increased in early T2DM, but subclinical heart deformation and dysfunction can occur. Myocardial strains are sensitive to global and regional heart dysfunction in subclinical T2DM. Cardiac magnetic resonance feature-tracking technology (CMR-FT) can visualize and quantify strain and identify subclinical myocardial injury for early management, especially with preserved LVEF. Meanwhile, CMR-FT can be used to evaluate the multiple cardiac chambers involvement mediated by T2DM and the coexistence of complications. This review discusses CMR-FT principles, clinical applications, and research progress in the evaluation of myocardial strain in T2DM.

NLRP3 blockade by MCC950 suppressed osteoclastogenesis via NF-κB/c-Fos/NFATc1 signal pathway and alleviated bone loss in diabetes mellitus

Obesity and type 2 diabetes mellitus (T2DM) are linked to osteoporosis development, with obesity being a significant risk factor for T2DM. T2DM patients with obesity exhibit a higher fracture rate and often have a poor prognosis post-fracture. To address the urgent need for understanding the mechanisms of diabetic osteoporosis (DOP), research is ongoing to explore how obesity and T2DM impact bone metabolism. The NLRP3 inflammasome has been implicated in the pathogenesis of osteoporosis, and MCC950, an NLRP3 inflammasome inhibitor, has shown promise in various diseases but its role in osteoporosis remains unexplored. In this study, BMMs and BMSCs were isolated and cultured to investigate the effects of MCC950 on bone metabolism, and DOP model was used to evaluate the efficacy of MCC950 in vivo. The study demonstrated that MCC950 treatment inhibited osteoclast differentiation, reduced bone resorption capacity in BMMs without suppression for osteoblast differentiation from BMSCs. Additionally, MCC950 suppressed the activation of the NF-κB signaling pathway and downregulated key factors associated with osteoclast differentiation. Additionally, MCC950 alleviated bone loss in DOP mouse. These findings suggest that MCC950, by targeting the NLRP3 inflammasome, may have a protective role in preventing osteoporosis induced by T2DM with obesity. The study highlights the potential therapeutic implications of MCC950 in managing diabetic osteoporosis and calls for further research to explore its clinical application in high-risk patient populations.

Association Between Mycobacterium tuberculosis Sensitization and Insulin Resistance Among US Adults Screened for Type 2 Diabetes Mellitus.

Type 2 diabetes mellitus (T2DM) may be a long-term sequela of infection with Mycobacterium tuberculosis (Mtb) by mechanisms that remain to be fully explained. We evaluated the association between Mtb sensitization and T2DM and, via mediation analysis, the extent to which it is mediated by insulin resistance and/or β-cell failure. Adults were assessed for T2DM by fasting plasma glucose, 2-hour oral glucose tolerance testing, and hemoglobin A1c; β-cell dysfunction and insulin resistance by homoeostasis model assessment 2; and Mtb sensitization by tuberculin skin testing. Associations between Mtb sensitization and T2DM were modeled with probit regression and decomposed into indirect effects of β-cell dysfunction and insulin resistance. Analyses were adjusted for sociodemographic, behavioral, and clinical characteristics. We included 1843 adults. Individuals with Mtb sensitization were older than those without Mtb (median [IQR], 54 [39-64] vs 47 [33-62] years). As compared with being uninfected, Mtb sensitization was associated with T2DM (adjusted absolute risk difference, 9.34% [95% CI, 2.38%-15.0%]; P < .001) and increased insulin resistance (adjusted median difference, 0.16 [95% CI, .03-.29]; P = .014) but not β-cell dysfunction (adjusted median difference, -3.1 [95% CI, -10.4 to 4.3]; P = .42). In mediation analyses, insulin resistance mediated 18.3% (95% CI, 3.29%-36.0%; P = .020) of the total effect of the association between Mtb sensitization and T2DM. Definitive prospective studies examining incident T2DM following tuberculosis are warranted. Notwithstanding, our findings suggest that exposure to Mtb may be a novel risk factor for T2DM, likely driven by an increase in insulin resistance.

Epidemiology and Genetic Architecture of Type 2 Diabetes Mellitus in Geographically Different Indian Populations: A Review

Abstract: Type 2 Diabetes Mellitus (T2DM) has been a severe public health issue worldwide for many years. The primary cause and risk factor of T2DM is hereditary and complicated interaction between epigenetics. Identification and understanding of genetic markers may help to detect, prevent, and manage T2DM. This review examined the effect of single-gene and gene-gene interactions for predicting diabetes mellitus. Based on the literature survey, common and unique Single Nucleotide Polymorphisms (SNPs) and genes were explored in the Indian Populations, including PPARG, TCF7L2, KCNJ11, CDKN2A, IGF2BP2, SLC30A8, HHEX and CDKAL1. Identifying common and specific markers may help in risk prediction and early detection of T2DM. Future research and Genome-wide association studies are also required to predict the gene-gene interaction, generate large data sets for removing non-representative groups, and focus only on specific marker-associated traits.

Metabolic dysfunction-associated steatotic liver disease: A superior predictor for incident type 2 diabetes over traditional criteria - NAGALA study.

The 2023 Delphi consensus recommended the use of new term, metabolic dysfunction-associated steatotic liver disease (MASLD), aiming conceptual shift from the conventional non-alcoholic fatty liver disease (NAFLD). The association between NAFLD and type 2 diabetes mellitus (T2DM) development is well known. This study aimed to examine the correlation between MASLD and T2DM development, comparing their utility as predictors. This retrospective cohort study obtained data from a medical health checkup program conducted at Asahi University Hospital, Japan, between 2004 and 2021. Logistic regression analysis was used to assess the association between MASLD and incident T2DM over 5 years. To compare the predictive utility of NAFLD and MASLD, receiver operating characteristic curves were drawn, followed by area under the curve (AUC) comparisons. In total, 15,039 participants (59.6% males; median [interquartile range {IQR}] age, 44 [38, 50] years) were included. Out of 2,682 participants meeting the criteria for MASLD, 234 individuals (8.7%) developed T2DM. Multivariate analysis revealed a significantly elevated risk of T2DM in MASLD compared with the reference healthy group (without steatotic liver disease or cardiometabolic risk), presenting an OR of 127.00 (95% CI 40.40-399.00, P < 0.001). The concordance rate of diagnosis between NAFLD and MASLD was 98.7%. The AUC values were 0.799 for NAFLD and 0.807 for MASLD, respectively. Comparative analysis of the AUC showed a statistical difference between NAFLD and MASLD (P < 0.001). MASLD was shown to be a significant risk factor for incident T2DM, exhibiting a potentially higher predictive capacity than conventional NAFLD.

Do poor psychosocial resources mediate health inequalities in type 2 diabetes mellitus? Findings from the Maastricht study.

Low socioeconomic position (SEP) has been identified as a risk factor for type 2 diabetes mellitus (T2DM), and psychosocial resources might be on the pathway in this association. We examined two poor psychosocial resources, low control beliefs and inferiority beliefs, that might link low SEP with T2DM. 8292 participants aged 40-75 living in Southern Netherlands participated in The Maastricht Study starting from September 2010 to October 2020 and were followed up to 10 years with annual questionnaires. SEP (education, income, occupation), low control beliefs, inferiority beliefs, and (pre)diabetes by oral glucose tolerance test were measured at baseline. Incident T2DM was self-reported per annum. We analysed the mediating roles of poor psychosocial resources by using counterfactual mediation analysis. People with low SEP had more often prevalent and incident T2DM (e.g. low education: HR = 2.13, 95%CI: 1.53-2.97). Low control beliefs and high inferiority beliefs were more common among people with low SEP. Moreover, low control beliefs and high inferiority beliefs were risk factors for T2DM (e.g. low control beliefs: HR = 1.50, 95%CI: 1.08-2.09). The relationship between SEP and T2DM was partially mediated by control beliefs (8.0-13.6%) and inferiority beliefs (2.2-4.5%). We conclude that poor psychosocial resources are important in socioeconomic inequalities in diabetes. Researchers and practitioners should consider the psychosocial profile of people with lower SEP, as such a profile might interfere with the development, treatment, and prevention of T2DM. Further research should explore how poor psychosocial resources interact with chronic stress in relation to socioeconomic health inequalities.

Testosterone levels and risk of newly diagnosed type 2 diabetes mellitus in adult men: systematic review and meta-analysis.

Testosterone is a metabolically active hormone in males for metabolic homeostasis. Although the coexistence of low testosterone levels and type 2 diabetes mellitus (T2DM) have been associated, there are no reports that evaluate alterations in total testosterone (TT) levels and the risk of newly diagnosed T2DM. This review evaluates this question in adult men with high or low levels of total testosterone (TT), as well as the role played by other hormones such as free testosterone (FT), sex hormone binding globulin (SHBG), dihydrotestosterone (DHT), estrogens and testosterone bioavailable (bT). We searched for studies published up to July 30, 2023, in five databases, following a PECO strategy. We found twenty-two studies for quantitative analysis and meta-analyzed the same quantity of studies. This first meta-analysis incorporates the assessment of the risk of low TT and T2DM in longitudinal studies. 43,038 adult men are included. Our meta-analysis shows that there is an association between low TT levels and the risk of newly diagnosed T2DM (OR 1.52; 95% CI 1.10-2.10; p < 0.05; I²: 79%). It is also evident that SHBG in low TT studies behaves as a risk factor for T2DM in the same way as FT, although without statistical significance. bT behaves as a protective factor. There is no association between estrogen, DHT and T2DM. In adult men with low TT values, there is a greater risk of developing a newly diagnosed of T2DM. SHBG values in low TT patients also present a higher risk of T2DM as the same FT but without statistical significance. bT behaves as a protective factor We have not found an association between risk of T2DM and the levels of estrogen, DHT although there are very few studies that report these hormones.

Impact of mitigating obesity, smoking, and physical inactivity on type 2 diabetes mellitus burden in Oman: insights from mathematical modeling

IntroductionTo estimate the impact of reducing obesity, smoking, and physical inactivity (PIA) prevalence, and of introducing physical activity (PA) as an explicit intervention, on the prevalence, incidence, and mortality of...

Natural product-based treatment potential for type 2 diabetes mellitus and cardiovascular disease.

Type 2 diabetes (T2D) is a metabolic disease of impaired glucose utilization and a major cause of cardiovascular disease (CVD). The pathogenesis of both diseases shares common risk factors and mechanisms, and both are significant contributors to global morbidity and mortality. Supplements of natural products for T2D mellitus (T2DM) and CVD can be seen as a potential preventive and effective therapeutic strategy. To critically evaluate the therapeutic potential of natural products in T2D and coronary artery disease (CAD). By using specific keywords, we strategically searched the PubMed database. Randomized controlled trials (RCTs) were searched as the primary focus that examined the effect of natural products on glycemic control, oxidative stress, and antioxidant levels. We focused on outcomes such as low blood glucose levels, adjustment on markers of oxidative stress and antioxidants. After screening full-length papers, we included 9 RCTs in our review that met our inclusion criteria. In the literature search on the database, we found that various natural products like plant secondary metabolites play a diverse role in the management of CAD. American ginseng, sesame oil and cocoa flavanols proved effective in lowering blood glucose levels and controlling blood pressure, which are key factors in managing T2DM and CVD. In diabetic patients Melissa officinalis effectively reduce inflammation and shows diabetes prevention. Both fish oil and flaxseed oil reduced insulin levels and inflammatory markers, suggesting benefits for both conditions. The lipid profile and endothelial function were enhanced by Nigella sativa oil and Terminalia chebula, which is significant for the management of cardiovascular risk factors in T2DM. Additionally Bilberry extract also showed promise for improving glycemic control in patients with T2DM. The high level of antioxidant, anti-inflammatory, and anti-angiogenic properties found in natural products makes them promising therapeutic options for the management of CAD, with the potential benefit of lowering the risk of CAD.

Diverse associations between pancreatic intra-, inter-lobular fat and the development of type 2 diabetes in overweight or obese patients.

Pancreatic fat is associated with obesity and type 2 diabetes mellitus (T2DM); however, the relationship between different types of pancreatic fat and diabetes status remains unclear. Therefore, we aimed to determine the potential of different types of pancreatic fat accumulation as a risk factor for T2DM in overweight or obese patients. In total, 104 overweight or obese patients were recruited from January 2020 to December 2022. The patients were divided into three groups: normal glucose tolerance (NGT), impaired fasting glucose or glucose tolerance (IFG/IGT), and T2DM. mDixon magnetic resonance imaging (MRI) was used to detect pancreatic fat in all three groups of patients. The pancreatic head fat (PHF), body fat (PBF), and tail fat (PTF) in the IFG/IGT group were 21, 20, and 31% more than those in the NGT group, respectively. PHF, PBF, and PTF were positively associated with glucose metabolic dysfunction markers in the NGT group, and inter-lobular fat volume (IFV) was positively associated with these markers in the IFG/IGT group. The areas under the receiver operating characteristic curves for PHF, PBF, and PTF (used to evaluate their diagnostic potential for glucose metabolic dysfunction) were 0.73, 0.73, and 0.78, respectively, while those for total pancreatic volume (TPV), pancreatic parenchymal volume, IFV, and IFV/TPV were 0.67, 0.67, 0.66, and 0.66, respectively. These results indicate that intra-lobular pancreatic fat, including PHF, PTF, and PBF, may be a potential independent risk factor for the development of T2DM. Additionally, IFV exacerbates glucose metabolic dysfunction. Intra-lobular pancreatic fat indices were better than IFV for the diagnosis of glucose metabolic dysfunction.

Smoking and the Risk of Type 2 Diabetes: A Cross-sectional Analytical Study.

India is undergoing epidemiological transitions with the increase in noncommunicable disease (NCD) burden. Targeting the modifiable risk factors through lifestyle changes in the early years of life remains the most effective strategy for decreasing the prevalence of type 2 diabetes mellitus (T2DM). To determine the association between cigarette smoking and T2DM. An analytical cross-sectional study was conducted among the patients attending the outpatient department of a tertiary care teaching hospital in Kolkata, West Bengal, India. Patients aged more than 35 years were enrolled, and details regarding sociodemography, clinical status, and NCD risk factors were collected using pretested semistructured questionnaires after obtaining IEC approval. Data collected were entered in MS Excel and analyzed using SPSS software. Simple logistic regression and multivariable logistic regression analysis were used to calculate the crude and adjusted odds ratio with 95% confidence interval. Out of 434 participants, 37.3% had diabetes mellitus, 51.6% were males, and 28.6% had alcohol consumption. Univariate logistic regression analysis revealed age, BMI, systolic BP, diastolic BP, and cigarette smoking were significantly associated with increased risk of T2DM. Multivariable logistic regression analysis revealed cigarette smoking, systolic BP, age, and female gender were significant risk factors for T2DM. Our study reported cigarette smoking and systolic BP are modifiable risk factors associated with T2DM. Early identification of smoking through screening and appropriate control of hypertension in T2DM patients will decrease the morbidities and mortalities in T2DM cases.

Controlling Nutritional Status (CONUT) score is a novel marker of type 2 diabetes mellitus and diabetic microvascular complications

ABSTRACT Objectives Type 2 diabetes mellitus (T2DM) and its microvascular complications are characterized by chronic inflammation. The Controlling Nutritional Status (CONUT) score is a tool used to assess nutritional status and is often associated indirectly with inflammatory processes. We aimed to compare the CONUT scores of T2DM patients with those of healthy volunteers and to compare T2DM patients with and without microvascular complications. Methods Patients diagnosed with T2DM and healthy volunteers (as controls) were included in the study. The CONUT score is calculated using the following formula: serum albumin score + total cholesterol score + total lymphocyte count score. CONUT scores of T2DM patients and healthy controls, as well as those of diabetics with and without microvascular complications, were compared. Results The CONUT scores of the T2DM and control groups were (1 [0–7]) and (0 [0–2]), respectively (p < 0.001). The sensitivity and specificity of the CONUT score (<1.5 threshold) in detecting T2DM were 43% and 90%, respectively (AUC: 0.67, p < 0.001, 95% CI: 0.64–0.71). Moreover, the CONUT score was an independent risk factor for T2DM (OR: 0.34, p < 0.001, 95% CI: 0.22–0.52). The CONUT score of T2DM patients with microvascular complications (2 [0–7]) was significantly higher than that of T2DM patients without microvascular complications (0 [0–4]) and control subjects (0 [0–2]) (p < 0.001). A CONUT score higher than 1.5 had 83% sensitivity and 92% specificity in detecting T2DM with microvascular complications (AUC: 0.91, p < 0.001, 95% CI: 0.89–0.93). Conclusion The CONUT score could be useful in detecting diabetic microvascular complications in clinical practice, as it is an inexpensive and easy-to-assess marker.

Association between adverse childhood experiences and type 2 diabetes mellitus in later life: A case-control study.

Adverse childhood experiences (ACEs) are potentially traumatic events that occur before 18 years of age. Studies emphasize the importance of childhood adversity as a risk factor for developing non-communicable diseases, including type-2 diabetes mellitus (T2DM) in adulthood. This case-control study involved 137 patients with T2DM and 134 non-diabetic adults of both genders (mean age 46.9 and 45.7 years, respectively). In addition to collecting socio-demographic, behavioral, and anthropological data, a 10-item ACE scale was utilized to gather information regarding childhood adversities, while perceived stress was assessed using the perceived stress scale-4. Fasting and 2-hour post glucose load blood sugar levels, HbA1c, and fasting lipid profiles were measured. Both univariable and multivariable binary logistic regression analyses were performed to investigate whether ACE is a potential risk factor for T2DM, with a significance level of 0.05. Around two-thirds of T2DM patients reported having ACE scores of 4 or higher, with the mean ACE score significantly higher in the case group than in the control group (3.96 vs. 3.34; p<0.0001). The logistic regression analysis found that T2DM was linked to female gender, hypertension, dyslipidemia, family history of DM, higher perceived stress, and a higher ACE score of 4 and above. After adjusting for confounding factors, individuals with an ACE score of 4 or higher had a significantly greater risk of developing T2DM (OR: 2.24; 95% CI 1.238-4.061). The study revealed a significant association between higher ACE scores and an increased risk of developing T2DM. As a recommendation, further investigation into the epigenetic mechanisms underlying this relationship is warranted.

Hyperglycemia and cognitive impairments anticipate the onset of an overt type 2 diabetes-like phenotype in TALLYHO/JngJ mice

Type 2 Diabetes mellitus (T2DM) is a metabolic disorder characterized by chronic hyperglycemia, resulting from deficits in insulin secretion, insulin action, or both. Whilst the role of insulin in the peripheral nervous system has been ascertained in countless studies, its role in the central nervous system (CNS) is emerging only recently. Brain insulin has been lately associated with brain disorders like Alzheimer’s disease, obsessive compulsive disorder, and attention deficit hyperactivity disorder. Thus, understanding the role of insulin as a common risk factor for mental and somatic comorbidities may disclose novel preventative and therapeutic approaches. We evaluated general metabolism (glucose tolerance, insulin sensitivity, energy expenditure, lipid metabolism, and polydipsia) and cognitive capabilities (attention, cognitive flexibility, and memory), in adolescent, young adult, and adult male and female TALLYHO/JngJ mice (TH, previously reported to constitute a valid experimental model of T2DM due to impaired insulin signaling). Adult TH mice have also been studied for alterations in gut microbiota diversity and composition. While TH mice exhibited profound deficits in cognitive flexibility and altered glucose metabolism, we observed that these alterations emerged either much earlier (males) or independent of (females) a comprehensive constellation of symptoms, isomorphic to an overt T2DM-like phenotype (insulin resistance, polydipsia, higher energy expenditure, and altered lipid metabolism). We also observed significant sex-dependent alterations in gut microbiota alpha diversity and taxonomy in adult TH mice. Deficits in insulin signaling may represent a common risk factor for both T2DM and CNS-related deficits, which may stem from (partly) independent mechanisms.

Association of ADIPOQ Gene Polymorphisms with Type 2 Diabetes and Obesity Risk in the Kazakh Population: A Case-Control and Population-Based Study.

Type 2 diabetes mellitus (T2DM) is a socially significant disease with increasing prevalence worldwide. It is characterized by heterogeneous metabolic disorders and is associated with various risk factors, including BMI, abnormal lipid levels, hypertension, smoking, dietary preferences, physical inactivity, sedentary lifestyle, family history of diabetes, prediabetes or gestational diabetes, inflammation, intrauterine environment, age, sex, ethnicity, and socioeconomic status. Assessing the genetic risk of developing T2DM in specific populations remains relevant. The ADIPOQ gene, encoding adiponectin, is directly related to the risk of developing T2DM, obesity, and cardiovascular diseases. Our study demonstrated significant associations of ADIPOQ gene polymorphisms with the risk of developing T2DM and obesity, as well as with fasting glucose levels and BMI, in the Kazakh population. Specifically, rs266729 was significantly associated with T2DM and obesity in the Kazakh population, while other studied polymorphisms (rs1501299, rs2241766, and rs17846866) did not show a significant association. These findings suggest that ADIPOQ gene polymorphisms may influence T2DM risk factors and highlight the importance of genetic factors in T2DM development. However, further research in larger cohorts is needed to confirm these associations.

Type 2 Diabetes Mellitus Prevalence and Associated Risk Factors in Postmenopausal Women.

Introduction Type 2 diabetes mellitus (T2DM) is the most common problem in postmenopausal women. This study aimed to find out the prevalence of T2DM and its risk factors in postmenopausal women. Methods The study is a population-based cross-sectional study. Anthropometric measurements, blood pressure, and biochemical measurements of 2295 postmenopausal women up to the age of 55 years were taken following face-to-face interviews. Odds ratio was used to find out the role of risk factors associated with T2DM. Results Prevalence of T2DM was reported to be 15.51%. Significant contribution of waist circumference (WC) followed by body mass index (BMI), total cholesterol (TC), and triglycerides (p<0.05) was noted in increasing the risk of T2DM. No association was found between T2DM and hypertension (p>0.05). Conclusion A high prevalence of T2DM was reported in postmenopausal women. Higher levels of BMI, WC, TC, and triglycerides were found to be the major risk factors for T2DM.

The value of lipid accumulation products in predicting type 2 diabetes mellitus: a cross-sectional study on elderlies over 65 in Shanghai

PurposeAs lifestyle changes, there is an increasing number of type 2 diabetes mellitus (T2DM) patients in China. The present study aimed to investigate the predictive value of the lipid accumulation product (LAP) for T2DM in Chinese elderlies over 65 years.MethodsThe present cross-sectional study recruited 2,092 adults from communities of Pudong New Area of Shanghai. Questionnaires were filled and anthropometric and laboratory examinations were completed by all participants. The predictive value of different risk factors for T2DM was analyzed using the receiver operating characteristics curve (ROC).ResultsLAP was found to be closely related to T2DM (adjusted OR: 0.613, 95% CI: 0.581–0.645). Fasting plasma glucose (FPG), LAP, and urea nigrogen (UN) were associated with T2DM in females, whereas FPG, LAP, neck circumference (NC) were associated with T2DM in males. When the cut-off value was 33.8, LAP displayed the optimal predictive performance. A gender difference was observed with an LAP of 37.95 demonstrating the best predictive value in males (AUC = 0.604, 95% CI: 0.577–0.652) and 60.2 in females (AUC = 0.617, 95% CI: 0.574–0.660), respectively.ConclusionLAP is more significantly associated with the risk of T2DM in elderlies than FPG, UN or NC, and it serves as a strong predictor of T2DM. However, this is impacted by FPG and neck circumference to a certain extent. Future large-scale studies are needed to confirm its efficacy in predicting diabetes.