Risk Factors For Type 2 Diabetes Mellitus Research Articles

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

BACKGROUND 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. AIM To critically evaluate the therapeutic potential of natural products in T2D and coronary artery disease (CAD). METHODS 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. RESULTS 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. CONCLUSION 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

Background: 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. Materials and Methods: 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. Results: 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. Conclusions: 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.

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.

Narrative literature review of antidiabetic drugs' effect on hyperuricemia: elaborating actual data and mechanisms.

To optimize the treatment plan for patients with type 2 diabetes mellitus (T2DM) and hyperuricemia, this narrative literature review summarizes the effect of antidiabetic drugs on serum uric acid (SUA) levels using data from observational studies, prospective clinical trials, post hoc analyses, and meta-analyses. SUA is an independent risk factor for T2DM, and evidence has shown that patients with both gout and T2DM exhibit a mutually interdependent effect on higher incidences. We find that insulin and dipeptidyl peptidase 4 inhibitor (DPP-4i) except linagliptin could increase the SUA and other drugs including metformin, thiazolidinediones (TZDs), glucagon-like peptide-1 receptor agonists (GLP-1 RAs), linagliptin, sodium-glucose cotransporter 2 inhibitors (SGLT2i), and α-glucosidase inhibitors have a reduction effect on SUA. We explain the mechanisms of different antidiabetic drugs above on SUA and analyze them compared with actual data. For sulfonylureas, meglitinides, and amylin analogs, the underlying mechanism remains unclear. We think the usage of linagliptin and SGLT2i is the most potentially effective treatment of patients with T2DM and hyperuricemia currently. Our review is a comprehensive summary of the effects of antidiabetic drugs on SUA, which includes actual data, the mechanisms of SUA regulation, and the usage rate of drugs.

Risk factors for chronic kidney disease in middle eastern patients with type 2 diabetes mellitus: A cross-sectional study using the KDIGO classification

AimsChronic kidney disease (CKD) is prevalent in patients with type 2 diabetes mellitus (T2DM). This study aimed to investigate risk factors for CKD progression across the kidney disease-Improving Global Outcomes (KDIGO)categories in a Middle Eastern population beyond hyperglycemia as emphasized by KDIGO guidelines which classifying CKD by cause and severity. MethodsThis cross-sectional study targeted 1603 patients with T2DM. Risk factors for CKD progression were determined using odds ratios (ORs) and 95 % confidence intervals (CIs). ResultsOverall, 35.5 %, 31.7 %, and 32.8 % of patients were classified as low-risk, moderate-risk, and high-/very high-/highest-risk, respectively. Several factors were associated with high/very high/highest risk categorization, including being aged >45 years (OR: 1.85, 95 % CI: 1.36–2.49; P < 0.001), male gender (OR: 1.87, 95 % CI: 1.38–2.54; P < 0.001), hypertension (OR: 3.66, 95 % CI: 2.32–5.78; P < 0.001), and T2DM duration of ≥15 years (OR: 3.2, 95 % CI: 2.27–4.5; P < 0.001). Patients with more concurrent risk factors were notably represented in the high/very high/highest risk category. ConclusionsMale patients, older patients, and those with comorbid hypertension, longstanding T2DM, and additional concurrent risk factors have a significantly higher risk of advanced CKD. Such findings should be considered when planning management approaches for patients with CKD.

Glucose tolerance test with a single abnormal value as a predictor of type 2 diabetes mellitus: a multicenter retrospective study

Clinical implication of a single abnormal value (SAV) in the 100 g oral glucose tolerance test during pregnancy has not been established. We aimed to evaluate the risk of postpartum type 2 diabetes mellitus (T2DM) and investigate adverse pregnancy outcomes in women with SAV, using a retrospective database, from seven medical centers of Korea. Based on the Carpenter-Coustan criteria using two-step approach, pregnancy and postpartum outcomes were compared, among normoglycemic, SAV, and gestational diabetes mellitus (GDM) groups. Among 9353 women, 342 (3.66%) and 418(4.47%) women were included in SAV and GDM groups, respectively. SAV and GDM groups showed significantly higher rates of postpartum T2DM than normoglycemic group (7.60%, 14.83%, and 1.82%, respectively, p < 0.001). And SAV group showed significantly higher rates of pregnancy associated hypertension, preterm birth, and neonatal hypoglycemia and sepsis, compared to normoglycemic group (neonatal sepsis, p = 0.008; the others, p < 0.001). In multivariate analysis, postpartum T2DM was associated with SAV, GDM (with/without insulin), nulliparity, pre-pregnancy BMI, chronic hypertension, hyperlipidemia, and DM family history. A scoring model to predict postpartum T2DM within 5 years, achieved an area under the curve of 0.74. This study demonstrated that not only GDM, but also SAV is a significant risk factor for postpartum T2DM.

Apolipoprotein E E3/E4 genotype is associated with an increased risk of type 2 diabetes mellitus complicated with coronary artery disease

ObjectiveDyslipidemia is a co-existing problem in patients with diabetes mellitus (DM) and coronary artery disease (CAD), and apolipoprotein E (APOE) plays an important role in lipid metabolism. However, the relationship between the APOE gene polymorphisms and the risk of developing CAD in type 2 DM (T2DM) patients remains controversial. The aim of this study was to assess this relationship and provide a reference for further risk assessment of CAD in T2DM patients.MethodsThe study included 378 patients with T2DM complicated with CAD (T2DM + CAD) and 431 patients with T2DM alone in the case group, and 351 individuals without DM and CAD were set as controls. The APOE rs429358 and rs7412 polymorphisms were genotyped by polymerase chain reaction (PCR) - microarray. Differences in APOE genotypes and alleles between patients and controls were compared. Multiple logistic regression analysis was performed after adjusting for age, gender, body mass index (BMI), history of smoking, and history of drinking to access the relationship between APOE genotypes and T2DM + CAD risk.ResultsThe frequencies of the APOE ɛ3/ɛ4 genotype and ε4 allele were higher in the T2DM + CAD patients, and the frequencies of the APOE ɛ3/ɛ3 genotype and ε3 allele were lower than those in the controls (all p < 0.05). The T2DM + CAD patients with ɛ4 allele had higher level in low-density lipoprotein cholesterol (LDL-C) than those in patients with ɛ2 and ɛ3 allele (p < 0.05). The results of logistic regression analysis showed that age ≥ 60 years old, and BMI ≥ 24.0 kg/m2 were independent risk factors for T2DM and T2DM + CAD, and APOE ɛ3/ɛ4 genotype (adjusted odds ratio (OR) = 1.93, 95% confidence interval (CI) = 1.18–3.14, p = 0.008) and ɛ4 allele (adjusted OR = 1.97, 95% CI = 1.23–3.17) were independent risk factors for T2DM + CAD. However, the APOE genotypes and alleles were not found to have relationship with the risk of T2DM.ConclusionsAPOE ε3/ε4 genotype and ε4 allele were independent risk factors for T2DM complicated with CAD, but not for T2DM.

Type 2 diabetes risk after gestational diabetes according to country/region of origin. A nationwide register-based study.

The risk of gestational diabetes mellitus (GDM) differs between the Danish population and several migrant groups. However, it is unclear if the incidence and timing of type 2 diabetes mellitus (T2DM) following GDM vary similarly. To investigate the incidence of T2DM according to migration background based on country/region of origin among women with a previous GDM diagnosis and explore the role of time since GDM diagnosis on the association. Using nationwide registry data, we followed women diagnosed with GDM in Denmark during 2004-2018 to Dec 31, 2020. Poisson regression models were used to estimate incidence rates (IRs) of T2DM according to country/region of origin, adjusted for age, education, and body mass index. The study included 20,873 women with a GDM diagnosis, of whom 22.3% were of migrant background and 77.7% were Danish. The mean follow-up time was 7.3 years, and 10.9% were registered with T2DM during the study period. Generally, migrant women had higher IRs of T2DM compared to Danish women, with substantial variations in risk between migrant groups. Women from Pakistan and Sri Lanka had three-four times higher IRs compared to Danish women. The timing of T2DM onset also varied, with women from Sri Lanka and Pakistan having an earlier onset of T2DM compared to other migrant and Danish women. This study demonstrated that country/region of origin is an important risk factor for T2DM in women with GDM. These findings underscore the importance of prevention programs targeting women with GDM and a high-risk origin.

Genetic Variants of CYP2C8 Gene Predisposition to Type 2 Diabetes Risk

Background: Type 2 diabetes mellitus (T2DM) is characterized by elevated blood glucose levels due to insulin resistance or inadequate insulin secretion from pancreatic beta cells. The mitochondrial CYP2C8 gene, located on chromosome 10q24, encodes cytochrome P450 and spans 37 kb with nine exons. Genetic variants in this gene may influence T2DM susceptibility. Method: This study aimed to investigate the association between genetic polymorphisms in the CYP2C8 gene (rs1934953 and rs1934952) and the risk of T2DM in Iraqi patients. Blood samples were collected from 48 participants, including 24 T2DM patients and 24 healthy controls. DNA extraction, polymerase chain reaction (PCR), and sequencing were performed to analyze genetic variations. Statistical analysis was conducted using chi-square tests, logistic regression, and Hardy-Weinberg equilibrium calculations. Results: Analysis revealed that the rs1934953 variant in the CYP2C8 gene was associated with T2DM, with the A allele showing a protective effect (odds ratio: 0.840, 95% confidence interval: 0.780-0.904, P=3.04×10-6). Additionally, an interaction effect between rs1934953 in CYP2C9 and rs12766752 in CYP2C8 on T2DM risk was observed (P=0.003). Furthermore, rs1934953 showed significant association with high-density lipoprotein cholesterol (HDL-C). At the rs1934952 C/T locus, a transition type genetic mutation was detected, with the TT genotype considered a risk factor for T2DM, while the CC and CT genotypes were protective. The Hardy-Weinberg probability value for the patient group was 0.0321, indicating notable discrepancies in genotype distribution, while the healthy group showed no significant differences (Hardy probability: 0.2001). The TT genotype at rs1934953 was associated with a decreased risk of T2DM, while the CC and CT genotypes were potential risk factors. Conversely, at rs1934952, the CC and CT genotypes were protective against T2DM, while the TT genotype was associated with increased risk. Conclusion: in conclusion, the study indicates that there may be links between CYP2C8 gene variances and an increased chance of type 2 diabetes in Iraqi patients.

Associations between artificial sweetener intake from cereals, coffee, and tea and the risk of type 2 diabetes mellitus: A genetic correlation, mediation, and mendelian randomization analysis.

Previous studies have emphasized the association between the intake of artificial sweeteners (AS) and type 2 diabetes mellitus (T2DM), but the causative relationship remains ambiguous. This study employed univariate Mendelian randomization (MR) analysis to assess the causal link between AS intake from various sources and T2DM. Linkage disequilibrium score (LDSC) regression was used to evaluate the correlation between phenotypes. Multivariate and mediation MR were applied to investigate confounding factors and mediating effects. Data on AS intake from different sources (N = 64,949) were sourced from the UK Biobank, while T2DM data were derived from the DIAbetes Genetics Replication And Meta-analysis.The primary method adopted was inverse variance weighted (IVW), complemented by three validation techniques. Additionally, a series of sensitivity analyses were performed to evaluate pleiotropy and heterogeneity. LDSC analysis unveiled a significant genetic correlation between AS intake from different sources and T2DM (rg range: -0.006 to 0.15, all P < 0.05). After correction by the false discovery rate (FDR), the primary IVW method indicated that AS intake in coffee was a risk factor for T2DM (OR = 1.265, 95% CI: 1.035-1.545, P = 0.021, PFDR = 0.042). Further multivariable and mediation MR analyses pinpointed high density lipoprotein-cholesterol (HDL-C) as mediating a portion of this causal relationship. In reverse MR analysis, significant evidence suggested a positive correlation between T2DM and AS intake in coffee (β = 0.013, 95% CI: 0.004-0.022, P = 0.004, PFDR = 0.012), cereal (β = 0.007, 95% CI: 0.002-0.012, P = 0.004, PFDR = 0.012), and tea (β = 0.009, 95% CI: 0.001-0.017, P = 0.036, PFDR = 0.049). No other causal associations were identified (P > 0.05, PFDR > 0.05). The MR analysis has established a causal relationship between AS intake in coffee and T2DM. The mediation by HDL-C emphasizes potential metabolic pathways underpinning these relationships.

Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping.

To explore the association between type 2 diabetes mellitus (T2DM) and body composition based on magnetic resonance fat fraction (FF) mapping. A total of 341 subjects, who underwent abdominal MRI examination with FF mapping were enrolled in this study, including 68 T2DM patients and 273 non-T2DM patients. The FFs and areas of visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and abdominal muscle (AM) were measured at the level of the L1-L2 vertebral. The FF of bone marrow adipose tissue (BMAT) was determined by the averaged FF values measured at the level of T12 and L1 vertebral, respectively. The whole hepatic fat fraction (HFF) and pancreatic fat fraction (PFF) were measured based on 3D semi-automatic segmentation on the FF mapping. All data were analyzed by GraphPad Prism and MedCalc. VAT area, VAT FF, HFF, PFF of T2DM group were higher than those of non-T2DM group after adjusting for age and sex (P < 0.05). However, there was no differences in SAT area, SAT FF, BMAT FF, AM area and AM FF between the two groups (P > 0.05). VAT area and PFF were independent risk factors of T2DM (all P < 0.05). The area under the curve (AUC) of the receiver operating characteristic (ROC) for VAT area and PFF in differentiating between T2DM and non-T2DM were 0.685 and 0.787, respectively, and the AUC of PFF was higher than VAT area (P < 0.05). Additionally, in seemingly healthy individuals, the SAT area, VAT area, and AM area were found to be significantly associated with being overweight and/or obese (BMI ≥ 25) (all P < 0.05). In this study, it was found that there were significant associations between T2DM and VAT area, VAT FF, HFF and PFF. In addition, VAT area and PFF were the independent risk factors of T2DM. Especially, PFF showed a high diagnostic performance in discrimination between T2DM and non-T2DM. These findings may highlight the crucial role of PFF in the pathophysiology of T2DM, and it might be served as a potential imaging biomarker of the prevention and treatment of T2DM. Additionally, in individuals without diabetes, focusing on SAT area, VAT area and AM area may help identify potential health risks and provide a basis for targeted weight management and prevention measures.

Melatonin, Circadian Rhythms, and Type 2 Diabetes Mellitus: A Comprehensive Review of Epidemiology, Molecular Mechanisms, and Therapeutic Implications

This extensive review delves into the epidemiology, risk factors, historical background, and molecular mechanisms of Type 2 Diabetes Mellitus (T2DM). The term "diabetes mellitus" dates back to ancient times and the Greek physician Aertaeus is credited with coining the term. T2DM, which is defined by hyperglycemia, insulin resistance, and relative insulin deficiency, is a global public health concern that affects millions of people worldwide. A combination of genetic, environmental, and lifestyle factors play a role in the development of T2DM. The distinction between Type 1 and Type 2 diabetes was established in 1936, and Type 2 diabetes was identified as a component of the metabolic syndrome in 1988. T2DM is becoming more and more common; it is expected to affect 552 million people by 2030, which means that research and interventions are desperately needed. The risk factors for T2DM include age, genetics, obesity, sedentary lifestyle, and components of the metabolic syndrome. Prediabetes, which is a precursor to T2DM, must be detected early in order to reduce the risk of progression. This review explores the physiological and molecular mechanisms underlying T2DM, with a focus on the complex interactions between melatonin, circadian rhythms, and diabetes. Melatonin, this is primarily synthesized by the pineal gland, is essential for the regulation of circadian rhythms and many other physiological processes. Research has shown how melatonin affects insulin secretion and glucose metabolism, suggesting that it may have therapeutic uses in the treatment of diabetes. Circadian rhythm disturbances, particularly those brought on by shift work, are linked to a higher risk of type 2 diabetes, underscoring the importance of comprehending these intricate relationships. The review highlights the need for more research to fully understand the complex relationships between melatonin, circadian rhythms, and diabetes. Pharmacological interventions, such as the synthetic melatonin agonist agomelatine, offer promising avenues for therapeutic exploration. Thapsigargin, an antagonist of sarco-endoplasmic reticulum Ca2+-ATPase (SERCA), reveals the role of calcium signaling in diabetes research.

Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burden.

Analyzing the association between sociodemographic status and the type 2 diabetes mellitus (T2DM)-related risks in China to reduce the disease burden of T2DM. We downloaded data from the Global Burden of Disease Study 2019 to estimate the disease burden of T2DM in China. Secondary analyses were performed by year, age, gender, summary exposure value (SEV), and sociodemographic index (SDI). In China, it is estimated that 3.74 (3.44-4.10) million incidence, 90.0 (82.3-98.5) million prevalence, 168.4 (143.2-194.0) thousand deaths, and 9.6 (7.6-11.9) million DALYs occurred in 2019, showing an increase of 96.8, 156.7, 162.8, and 145.4% compared to 1990. An inverse U-shaped curve was observed for the correlations between T2DM-related burden and SDI. A heavier burden was found in males. The top four risk factors were high body mass index (HBMI), dietary risks, air pollution and tobacco. HBMI, as the key risk, accounted for half of the disease burden of T2DM in China. Lower degree of SEV and higher level of attributable T2DM-related burden could be found in main risks, meaning their critical role of them in the development and progression of T2DM. An inverse U-shaped curve could be found in the association between age-standardized incidence, mortality, DALYs rate, and SDI. The disease burden of T2DM has rapidly increased in China. Gender disparities, different age distributions and inconsistent socioeconomic levels all played an important role in it. The key risk was HBMI. With the improvement of socioeconomic level, the main risk factors for T2DM have changed from environmental factors to lifestyle factors. Targeted control and preventative strategies to address adjustable risk factors could put an end to this soaring burden.

Early life malnutrition and risk of T2DM adulthood: evidence from the lower socioeconomic status of northwest Chinese population.

This study aimed to explore whether famine exposure during early life are associated with a high risk of Type 2 Diabetes Mellitus (T2DM) in adulthood and the role of socioeconomic status (SES) on this effect. We conducted a secondary data analysis based on data from a cross-sectional survey, collected 3,355 participants born between January 1, 1941 and December 31, 1966. Participants were categorized into four groups based on their date of birth, unexposed (individuals born in 1963-1966), infant exposed (individuals born in 1959-1962), childhood exposed (individuals born in 1949-1958), and adolescent exposed (born in 1941-1948). The association of famine exposure with T2DM risk in adults and conducted separately in plain area and mountain area was assessed using logistics regression model. 22.35% of participants were diagnosed with T2DM, of which 43.47% were from the childhood famine-exposed group, representing the highest proportion among all subgroups (p < 0.001). Participants exposed to famine during childhood and adolescence from the lower SES mountain areas showed a significantly higher prevalence of T2DM in adulthood than those from the plain areas (p < 0.001). The adolescence stage exposed famine will increase the risk of T2DM in the mountain area (OR 2.46, 95% CI 1.61, 3.77). No strong evidence demonstrates that exposure to famine during the early life stage increases the risk of developing T2DM in adulthood. However, populations with lower SES are likely to be exposed to more risk factors for T2DM.

Prediabetes-Associated Changes in Skeletal Muscle Function and Their Possible Links with Diabetes: A Literature Review.

The skeletal muscle plays a critical role in regulating systemic blood glucose homeostasis. Impaired skeletal muscle glucose homeostasis associated with type 2 diabetes mellitus (T2DM) has been observed to significantly affect the whole-body glucose homeostasis, thereby resulting in other diabetic complications. T2DM does not only affect skeletal muscle glucose homeostasis, but it also affects skeletal muscle structure and functional capacity. Given that T2DM is a global health burden, there is an urgent need to develop therapeutic medical therapies that will aid in the management of T2DM. Prediabetes (PreDM) is a prominent risk factor of T2DM that usually goes unnoticed in many individuals as it is an asymptomatic condition. Hence, research on PreDM is essential because establishing diabetic biomarkers during the prediabetic state would aid in preventing the development of T2DM, as PreDM is a reversible condition if it is detected in the early stages. The literature predominantly documents the changes in skeletal muscle during T2DM, but the changes in skeletal muscle during prediabetes are not well elucidated. In this review, we seek to review the existing literature on PreDM- and T2DM-associated changes in skeletal muscle function.

Association between Angiotensin-converting Enzyme Gene Insertion/Deletion Polymorphism with Diabetic Peripheral Neuropathy and Its Importance as a Genetic Biomarker

Background: Diabetic peripheral neuropathy (DPN) is the most common microvascular complication of type 2 diabetes mellitus (T2DM) with a prevalence ranging from 18.8% to 61.9% in India. For patients with T2DM, identifying those who are at risk of developing DPN is crucial for planning and implementing secondary preventive interventions, as well as for stepping up efforts to address risk factors. Very few studies have discovered a connection between angiotensin-converting enzyme (ACE) gene insertion/deletion (I/D) polymorphisms and the onset and progression of DPN in T2DM. Objectives: The current study intends to investigate the relationship between ACE gene I/D polymorphism with T2DM and DPN subjects among the South Tamil Nadu regional population. Materials and Methods: Thirty T2DM patients with DPN, 30 T2DM patients without DPN, and 30 control (nondiabetic) subjects were enrolled in this study. DPN was diagnosed using clinical and neurophysiological evaluation. Blood samples were collected and subjected to relevant investigations including blood glucose, glycated hemoglobin, serum creatinine, and serum lipids. Polymerase chain reaction amplification was performed to genotype the DNA for ACE I/D polymorphism using specific primers. Results: The ACE genotypes were distributed as II, 17 (57%); DD, 3 (10%); and ID, 10 (33%) in control group; II, 7 (23%); DD, 11 (37%); and ID, 12 (40%) in T2DM without DPN group, II, 3 (10%); DD, 16 (53%); and ID, 11 (37%) in T2DM with DPN group. The frequency of DD genotype was significantly higher in T2DM (P = 0.03) and T2DM patients with DPN (P = 0.001) compared to controls. The DD genotype versus II genotype was found to be associated with an increased risk of DPN (odds ratio [OR] = 10.28; 95% confidence interval [CI] =2.55–41.37). The D allele was more frequent among T2DM patients with DPN (71.6%) followed by T2DM patients (56.6%) compared to controls (26.6%). The D allele (vs. the I allele) is associated with an increased risk of T2DM (OR = 3.59, 95% CI = 1.670–7.742) and DPN (OR = 6.95, 95% CI = 3.120–15.507). Conclusion: The D allele and DD genotype of the ACE gene may both be risk factors for T2DM; in fact, the D allele of this polymorphism may potentially be linked to the development of DPN in T2DM patients. This finding implies that it may be possible to prevent DPN by early detection by identifying defects in ACE I/D polymorphisms in the south Indian regional population.

Alanine transferase levels (ALT) and triglyceride-glucose index are risk factors for type 2 diabetes mellitus in obese patients

AimsThe role of liver steatosis and increased liver enzymes (ALT) in increasing incident type 2 diabetes mellitus (T2DM) is debated, because of their differential effects on different ethnicities and populations. The aim of this study was to evaluate the role of elevated ALT in the development of T2DM in non-diabetic obese subjects receiving routine medical treatment.MethodsA total of 1005 subjects [296 men and 709 women, aged 45.7 ± 13.12 years, body mass index (BMI) 39.5 ± 4.86 kg/m2] were followed for a mean period of 14.3 ± 4.44 years. Subjects were evaluated for several metabolic variables, including the triglyceride-glucose index and the presence of metabolic syndrome (IDF 2005 definition), and were subdivided into ALT quartiles.ResultsT2DM developed in 136 subjects, and the difference was significant between the first and the fourth ALT quartile (p = 0.048). Both at univariate analysis and at stepwise regression, ALT quartiles were associated with incident T2DM. Traditional risk factors for T2DM coexisted, with a somehow greater predictive value, such as triglyceride-glucose index, age, arterial hypertension, LDL-cholesterol, and metabolic syndrome.ConclusionsThese data suggest an association between elevated ALT levels and the risk of incident T2DM in obesity.

Dietary Potassium and Magnesium Intake with Risk of Type 2 Diabetes Mellitus Among Rural China: the Henan Rural Cohort Study.

Previous studies exploring the relationship between dietary potassium and magnesium intake and the risk of type 2 diabetes mellitus (T2DM) have yielded inconsistent results and the lack evidence from rural China. Therefore, we aimed to investigate the association between dietary potassium and magnesium intake and the risk of T2DM in rural China. Data was collected from the Henan Rural Cohort Study in 2017. A validated semi-quantitative food frequency questionnaire assessed dietary potassium and magnesium intake. Logistic regression models were used to calculate odds ratio (ORs) and 95% confidence intervals (CIs) to evaluate the effect of dietary potassium, magnesium and the potassium-magnesium ratio on the risk of T2DM. A total of 38384 individuals were included in the study, and 3616 participants developed T2DM. Logistic regression analysis revealed that the OR (95% CI) of the highest versus dietary potassium and magnesium and potassium-magnesium ratio intakes were 0.67 (0.59, 0.75), 0.76 (0.67, 0.88), and 0.57 (0.50, 0.66), respectively, compared to the subjects with the lowest quartile of intakes. In addition, gender partially influences the relationship between dietary magnesium and T2DM prevalence (P-interaction = 0.042). The group with the highest dietary potassium and dietary magnesium intake had the lowest risk of T2DM, with an OR (95% CI) of 0.63 (0.51-0.77). Dietary potassium and magnesium intake are important modifiable risk factors for T2DM in rural China. Dietary potassium intake > 1.8g/day, dietary magnesium intake > 358.6mg/day and < 414.7mg/day and potassium-magnesium ratio >5.1 should be encouraged to prevent better and manage T2DM.