Type 2 Diabetes Mellitus Cases Research Articles

The Presence of Heavy Metals in Drinking Water and Its Possible Impact on the Development of Type 1 Diabetes in Children

This study aimed to determine the relationship between the concentration of heavy metals in drinking water and the number of type 1 diabetes mellitus (T1DM) cases in two regions of Poland. The number of births in 2015-16 in Pomeranian Voivodeship was 50,461, while the number of new T1DM cases was 219. In Lublin Voivodeship, the number of births in the same period reached 39,381, and the number of new T1DM cases was 221. The incidence of T1DM, calculated per 100 live births, amounted to 0.43 and 0.56 in Pomeranian and Lublin. The statistical analysis of collected data proved that the number of new T1DM cases in Pomeranian Voivodeship is correlated to the concentrations of selenium (Se; p < 0.0001), lead (Pb; p < 0.00001), cadmium (Cd; p < 0.00001), zinc (Zn; p < 0.00001) and arsenic (As; p = 0.00001). In the case of Lublin Voivodeship, the number of new T1DM cases was correlated to the concentrations of Se (p = 0.0000001), Pb (p < 0.000001), Cd (p = 0.0000001) and Zn (p < 0.00001) in drinking water. No correlation was found between the number of new T1DM cases and arsenic concentration in the drinking water samples from Lublin Voivodeship. The results indicated that environmental exposure to specific heavy metals may contribute to the risk of T1DM, underscoring the need for stringent environmental controls and public health policies to mitigate these risks.

Hypertension and diabetes control: faith-based centres offer a promise for expanding screening services and linkage to care in Ghana

BackgroundHypertension and type 2 diabetes mellitus (T2DM) are important contributors to noncommunicable disease related morbidity and mortality. Health systems could benefit from exploring the use of Faith-Based Centres (FBC) to screen and link suspected cases for further care in order to help achieve Sustainable Development Goal (SDG) 3. The study investigated the role of faith-based screening for T2DM and hypertension and the linkage of cases to the healthcare system and examined the care cascade in the Kassena Nankana Districts of Northern Ghana.MethodsWe screened individuals from 6 FBCs for elevated blood pressure and hyperglycaemia. Suspected hypertension and T2DM cases were referred to health facilities for confirmation and subsequently followed them up for 3 months. We assessed the prevalence of behavioural and metabolic risk factors, including hypertension and T2DM, and the retention of referred cases in the healthcare system over follow up period. We further assessed levels of awareness, treatment and adequate control of hypertension and T2DM.ResultsA total of 631 participants were screened, (mean age 49 ± 16years, 73% female) from 6 Faith based Centres. More males than females reported smoking tobacco (14.5% vs. 0.7%) and been physically active (64.5% vs. 52.7%) while more females were obese (29.6 kg/m2 vs. 14.5 kg/m2) and had a higher mean waist circumference (89.0 cm IQR 75-116 cm vs. 84.2 cm IQR 72–107 cm), hip circumference (101.5 ± 10.6 cm vs. 96.4 ± 8.6 cm) and waist-to-hip ratio (0.86 ± 0.1 cm vs. 0.87 ± 0.1 cm) than males. The prevalence of confirmed hypertension and T2DM was 27.9% and 3.5% respectively with no observed sex differences. We observed deficits in the hypertension and T2DM care cascade with reported low awareness, treatment and uncontrolled levels. A 3-month follow up showed a retention in care of 100% in month one and 94.9% in the third month. There was an increase in treatment (39.4% in month-1 and 82.8% in month-3) and control (26.3% in month-1 and 76.3% in month-3) of hypertension and T2DM combined.ConclusionFaith-based centres have the potential to enhance the screening, linkage to the healthcare system, and management of hypertension and T2DM. This improvement over the routine system could lead to earlier diagnoses, a reduction in complications, and decreased premature mortality from cardiovascular diseases. Consequently, these efforts would contribute significantly to achieving SDG 3.

Implementation of a genotyped African population cohort, with virtual follow-up: A feasibility study in the Western Cape Province, South Africa

Background There is limited knowledge regarding African genetic drivers of disease due to prohibitive costs of large-scale genomic research in Africa. Methods We piloted a cost-effective, scalable virtual genotyped cohort in South Africa, with participant recruitment using a tiered informed consent model and DNA collection by buccal swab. Genotype data was generated using the H3Africa Illumina micro-array, and phenotype data was derived from routine health data of participants. We demonstrated feasibility of nested case control genome wide association studies using these data for phenotypes type 2 diabetes mellitus (T2DM) and severe COVID-19. Results 2267346 variants were analysed in 459 participant samples. 78.6% of SNPs and 74% of samples passed quality control (QC). Principal component analysis showed extensive ancestry admixture in study participants. For 1780 published COVID-19-associated variants, 3 SNPs in the pre-imputation data and 23 SNPS in the imputed data were significantly associated with severe COVID-19 cases compared to controls. For 2755 published T2DM associated variants, 69 SNPs in the pre-imputation data and 419 SNPs in the imputed data were significantly associated with T2DM cases when compared to controls. Conclusions The results shown here are illustrative of what will be possible as the cohort expands in the future. Here we demonstrate the feasibility of this approach, recognising that the findings presented here are preliminary and require further validation once we have a sufficient sample size to improve statistical significance of findings. We implemented a genotyped population cohort with virtual follow up data in a resource-constrained African environment, demonstrating feasibility for scale up and novel health discoveries through nested case-control studies.

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.

Independent association of metabolic syndrome severity score and risk of diabetes: findings from 18 years of follow-up in the Tehran Lipid and Glucose Study

ObjectivesThis study aimed to investigate the association between age-specific and sex-specific continuous metabolic syndrome severity score (cMetS-S) and the risk of developing type 2 diabetes mellitus (T2DM). Additionally, the study...

Sex Differences in 'Life's Essential 8' cardiovascular health and Type 2 Diabetes Mellitus Risk Across Menopause Stages.

The purpose of this paper is to explore sex-based differences in cardiovascular health (CVH) and the incidence of type 2 diabetes mellitus (T2DM) among women at different menopausal stages and men. A prospective cohort study was conducted, involving 126,818 participants without pre-existing T2DM from the UK Biobank. CVH was assessed using the Life's Essential 8. Absolute risks (ARs) and hazard ratios (HRs) were separately employed to assess the association between increased CVH and T2DM risk. The Accelerated Failure Time model assessed the impact of CVH on the time to T2DM onset. Over a mean follow-up of 168 months, 4,315 cases of T2DM were documented. In men, each one-point increase in CVH was associated with a 0.268% decrease in AR and a 6.4% decrease in HR for T2DM. In premenopausal, perimenopausal and postmenopausal women, each unit increase in CVH resulted in a 0.105%, 0.180% and 0.166% decrease in AR and a 7.7%, 5.2% and 6.4% decrease in HR of T2DM. The adjusted median time to T2DM onset was delayed by 12.46, 9.83, 11.5 and 21.43 months in the highest quintile of men, premenopausal, perimenopausal and postmenopausal women, respectively, compared with the lowest CVH quintile. As CVH improved, the reduction in AR for T2DM was more prominent in men than in women. HR trends for CVH and T2DM were similar in men and postmenopausal women. Increased CVH delayed the onset of T2MD in both men and women, with the most significant delay observed in postmenopausal women.

Fetal exposure to the Ukraine famine of 1932-1933 and adult type 2 diabetes mellitus.

The short-term impact of famines on death and disease is well documented, but estimating their potential long-term impact is difficult. We used the setting of the man-made Ukrainian Holodomor famine of 1932-1933 to examine the relation between prenatal famine and adult type 2 diabetes mellitus (T2DM). This ecological study included 128,225 T2DM cases diagnosed from 2000 to 2008 among 10,186,016 male and female Ukrainians born from 1930 to 1938. Individuals who were born in the first half-year of 1934, and hence exposed in early gestation to the mid-1933 peak famine period, had a greater than twofold likelihood of T2DM compared with that of unexposed controls. There was a dose-response relationship between severity of famine exposure and increase in adult T2DM risk.

Chrono-Nutrition, Chrono-Type, and the Prevalence of Type 2 Diabetes Mellitus in a Cross-Sectional Study from the EuroPean Prospective Investigation into Cancer and Nutrition (EPIC) Study.

Background: Previous studies have shown that meal timing, poor sleep quality, and chronotype may play a relevant role in the development of type 2 diabetes mellitus (T2DM). However, its relationship with macronutrients by eating occasions has not been explored deeply. Objective: Our aim was to estimate the association between chrono-nutrition, sleep quality, chronotype, and the prevalence of T2DM. Methods: This cross-sectional study included a subset of 3465 middle-aged Caucasian adults (2068 women) from the European Prospective Investigation into Cancer and Nutrition (EPIC) Spain cohort study. In the 2017-18 follow-up, we assessed chronotype, sleep quality, diet, and sociodemographic data using validated questionnaires. Further, we used blood samples to determine serum levels of glucose. We defined a case of T2DM when serum glucose concentration was ≥126 mg/dL or when participants self-reported diabetes. Results: A higher prevalence of T2DM was associated with poor sleep quality (ORpoorvsgood = 2.90, 95% CI = 1.30, 6.28). Carbohydrate intake at breakfast was inversely associated with the prevalence of T2DM (OR = 0.75, 95% CI = 0.66, 0.85). Finally, lipid intake at breakfast was associated with a 13% higher prevalence of T2DM (OR = 1.13, 95% CI = 1.01, 1.26) for each 1 standard deviation (1-SD) increase. Conclusions: This study concludes that a higher content of carbohydrates at breakfast is correlated with a reduced prevalence of T2DM, while higher lipids intake at breakfast is associated with a higher prevalence of T2DM. Furthermore, poor sleep quality is a potential factor associated with an elevated prevalence of T2DM. Our results emphasize the need for prospective studies to validate and strengthen these observed associations.

Clinical and Microbiological Profile of Gram-Negative Infections in Critically Ill Diabetic Patients.

Background and aim Type 2 diabetes mellitus (T2DM) is associated with several infections due to hyperglycemia and impaired immunity. This study aims to analyze the clinical and microbiological profile of critically ill T2DM patients with sepsis due to gram-negative bacteria (GNB). Materials and methods A prospective cross-sectional observational study was conducted at Dr. D. Y. Patil Medical College, Hospital & Research Centre, Pune, India, between December 2023 and May 2024, after ethics committee approval. A total of 100 patients (50 T2DM cases and 50 nondiabetic controls), diagnosed with sepsis due to GNB and admitted to the medical ICU, were included in the study. The clinical profile and laboratory investigations of these patients were studied. Cultures were obtained from peripheral/central venous samples, tracheal secretions, and urine samples. Cultures from other specimens, such as ascitic fluid, cerebrospinal fluid, and pus from skin and soft tissue infections, were also obtained. The statistical tests that were applied were two-tailed with a 95% CI, and a p-value of less than 0.05 was considered statistically significant. Results The mean age of critically ill T2DM cases was 60.52 ± 12.88 years. Of the 50 T2DM cases, 28 were males and 22 were females. The most common infection in critically ill T2DM patients was bloodstream infection (n = 21), followed by bronchopneumonia (n = 16) and urinary tract infections (n = 10). Escherichia coli (n = 15) and Klebsiella pneumoniae (n = 15) were the most common gram-negative pathogens isolated. The most common GNB isolated from the blood cultures of critically ill T2DM patients was Acinetobacter spp. (n = 6). The death rate was significantly higher in T2DM patients with GNB sepsis as compared to nondiabetic controls. Conclusion GNBs like E. coli, K. pneumoniae, and Acinetobacter spp. are commonly found in critically ill T2DM patients with sepsis. Bloodstream infection was the most common site of infection in critically ill T2DM cases. Acinetobacter spp. was the most common isolate found in the blood cultures of critically ill T2DM patients. It is important to identify the site of sepsis, isolate the organism, and treat it with appropriate antibiotics promptly in critically ill T2DM patients to improve the outcomes of these patients.

Effect of Gegen Qinlian Decoction combined with dietary management on patients with damp-heat Type-2 diabetes mellitus and metabolic syndrome.

To explore the effect of Gegen Qinlian Decoction (GQD) combined with dietary management in the treatment of patients with Type-2 diabetes mellitus (T2DM) and metabolic syndrome (MetS) (T2DM MetS). This is a retrospective analysis of 102 cases of T2DM in the Brain Hospital of Hunan Province, China from April 2020 to February 2023. Of them, 49 patients received conventional drug treatment (control group), and 53 patients received GQD combined with dietary management on the basis of conventional drugs (observation group). Treatment efficacy was calculated, and blood glucose levels before and after the treatment, blood lipid-related indicators, tumor necrosis factor-α (TNF-α) and adiponectin (ADP) levels, and incidence of adverse reactions were compared between the two groups. The total efficacy of the observation group (92.45%) was significantly higher than that of the control group (75.51%) (P<0.05). After the treatment, blood glucose and lipid indicators in both groups were significantly improved compared to pretreatment levels, and were significantly better in the observation group than in the control group (P<0.05). After the treatment, TNF-α levels in both groups decreased compared to before the treatment, and were significantly lower in the observation group compared to the control group. Levels of ADP after the treatment increased, and were significantly higher in the observation group compared to the control group (P<0.05). When taken as an adjunct to the conventional drug regimen, GQD combined with dietary management can effectively regulate blood glucose and lipid metabolism in patients with T2DM and MetS (T2DM MetS), improve TNF-α and ADP levels, and enhance disease treatment effectiveness.

Bisphenol mixtures, metal mixtures and type 2 diabetes mellitus: Insights from metabolite profiling

BackgroundLittle is known about the combined effect of bisphenol mixtures and metal mixtures on type 2 diabetes mellitus (T2DM) risk, and the mediating roles of metabolites. MethodsThe study included 606 pairs of T2DM cases and controls matched by age and sex, and information of participants was collected through questionnaires and laboratory tests. Serum bisphenol and plasma metal concentrations were measured using ultra-performance liquid chromatography-mass spectrometry (UPLC-MS/MS) and inductively coupled plasma-mass spectrometry (ICP-MS), respectively. Widely targeted metabolomics was employed to obtain the serum metabolomic profiles. Conditional logistic regression models were used to assess the single associations of bisphenols and metals with T2DM risk after multivariable adjustment. Additionally, the joint effects of bisphenol mixtures and metal mixtures were examined using quantile-based g-computation (QG-C) models. Furthermore, differential metabolites associated with T2DM were identified, and mediation analyses were performed to explore the role of metabolites in the associations of bisphenols and metals with T2DM risk. ResultsThe results showed bisphenol mixtures were associated with an increased T2DM risk, with bisphenol A (BPA) identified as the primary contributor. While the association between metal mixtures and T2DM remained inconclusive, cobalt (Co), iron (Fe), and zinc (Zn) showed the highest weight indices for T2DM risk. A total of 154 differential metabolites were screened between the T2DM cases and controls. Mediation analyses indicated that 9 metabolites mediated the association between BPA and T2DM, while L-valine mediated the association between Zn and T2DM risk. ConclusionsThe study indicated that BPA, Co, Fe, and Zn were the primary contributors to increased T2DM risk, and metabolites played a mediating role in the associations of BPA and Zn with the risk of T2DM. Our findings contribute to a better understanding of the mechanisms underlying the associations of bisphenols and metals with T2DM.

The association of depression and sleep disorders in patients with type 1 diabetes in Taiwan.

The association between depression and sleep disorders in patients with type 1 diabetes mellitus (T1DM) in Taiwan is underexplored. We used a nationwide population-based dataset to evaluate the association of T1DM with these conditions in Taiwan from 2001 to 2019. Patients with T1DM were identified as cases, and 2 control groups were used for comparison: patients with type 2 diabetes mellitus (T2DM) and nondiabetic patients. Age, sex, date of diagnosis, and multiple comorbidities were included and matched using propensity score matching between cases and controls. The primary outcome of this study was to identify new occurrences of the first diagnosis of depression or sleep disorders. After matching, this study included 27,029 T1DM cases, 54,058 T2DM controls, and 108,116 nondiabetic controls. Patients with T1DM exhibited a 1.55-fold higher risk of developing depression (hazard ratio [HR] 1.55, 95% confidence intervals [CI] 1.48-1.61) and a 1.41-fold higher risk of experiencing sleep disorders (HR 1.41, 95% CI 1.37-1.46) compared to nondiabetic controls. Similarly, patients with T2DM displayed elevated risks of both depression (HR 1.39, 95% CI 1.34-1.43) and sleep disorders (HR 1.40, 95% CI 1.37-1.44) relative to non-diabetic controls. When comparing the T1DM and T2DM groups, T1DM patients demonstrated a slightly higher risk of depression (HR 1.11, 95% CI 1.07-1.16) but no significant difference in the risk of sleep disorders compared to T2DM patients. These results were consistent regardless of different ages or sexes. This study demonstrates a significant association between diabetes mellitus and the risk of depression and sleep disorders in a large cohort of Taiwanese patients.

Role of NQO1 Gene Involvement and Susceptibility of T2DM Among Saudi Arabia Population.

NQO1 disruption enhances susceptibility to oxidative stress during hyperglycemia and is a significant contributor to the development and progression of diabetes. Oxidative stress has been linked to several symptoms, including hyperglycemia, reactive oxygen species buildup, high blood pressure, and the expression of inflammatory markers. Therefore, the present research aimed to evaluate the genetic abnormality of NQO1 (rs1800566, C609T) gene polymorphism, expression, and vitamin-D level assessment among Type 2 diabetes mellitus (T2DM) patients. The study included 100 newly diagnosed T2DM cases and 100 healthy individuals as healthy controls. Total RNA was extracted from the whole blood using the TRIzol method, and further cDNA was synthesized, and expression was evaluated. There is a significant difference in NQO1 (rs1800566, C609T) genotype distribution among the T2DM patients and healthy controls (p = 0.04). Compared with the NQO1 CC wild-type genotype, the NQO1 CT heterozygous genotype had an odds ratio of 1.96 (1.08-3.55), and the NQO1 TT mutant type genotype had an odds ratio of 3.31 (0.61-17.77). Significantly decreased expression of NQO1 mRNA was observed with heterozygous CT (p < 0.0001) and homozygous mutant TT genotype (p = 0.0004), compared with homozygous wild-type CC genotype. NQO1 mRNA expression level was also compared with vitamin D levels among the T2DM patients. T2DM patients with vitamin D deficiency had 1.83-fold NQO1 mRNA expression, while vitamin D insufficient and sufficient T2DM cases had 3.31-fold (p < 0.0001) and 3.70-fold (p < 0.0001) NQO1 mRNA expression. It was concluded that NQO1 (rs1800566, C609T) CT and TT genotypes played a significant role in the worseness of type II diabetes mellitus, and decreased expression of NQO1 mRNA expression could be an essential factor for disease worseness as well as hypermethylation could be a factor for reduced expression leading to disease severity. The decreased NQO1 mRNA expression with heterozygous CT and mutant TT genotype associated with vitamin D deficiency may contribute to disease progression.

INFLA score: a novel inflammatory marker for assessing cardiometabolic disease risk in obese individuals

BackgroundThe low-grade inflammation score (INFLA-score) is a composite index that assesses chronic inflammatory status using multiple inflammatory markers. However, its correlation with cardiometabolic diseases (CMDs) in obese populations remains unclear.MethodsWe conducted a prospective cohort study involving 79,160 participants with obesity (BMI ≥ 30 kg/m2) from the UK Biobank. The INFLA-score was calculated based on high-sensitivity C-reactive protein, leukocyte count, platelet count and granulocyte/lymphocyte ratio. We employed Kaplan–Meier survival curves, multivariable Cox regression, restricted cubic splines and accelerated time-to-failure models to analyse the association between the INFLA-score and CMDs risk, including coronary heart disease (CAD), stroke and type 2 diabetes mellitus (T2DM).ResultsOver a median follow-up of 161.41 months, we recorded 14,903 CMDs events, comprising 7184 CAD cases, 1914 strokes and 7924 T2DM cases. Cox regression analysis revealed that each unit increase in the INFLA-score corresponded to a 1.5%, 1.1%, 1.2% and 2.4% increase CMDs risk (HR: 1.015, 95% CI 1.013–1.018), CAD risk (HR: 1.011, 95% CI 1.007–1.015), stroke risk (HR: 1.012, 95% CI 1.004–1.020) and T2DM risk (HR: 1.024, 95% CI 1.020–1.028), respectively. Restricted cubic spline analysis indicated a non-linear relationship between cumulative INFLA-score and CMDs risk (P = 0.044). Subgroup analysis revealed interactions between sex, age, history of lipid-lowering drug use, and INFLA-score regarding CMDs risk. Sensitivity analysis corroborated the main findings.ConclusionOur findings strongly support the close association between INFLA-score and CMDs risk, particularly notable in women, those aged < 55, and individuals with a history of lipid-lowering drug use. These findings offer new insights into the role of inflammation in obesity-related CMDs, suggesting potential applications for prevention and identification of high-risk populations.

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.

Reproductive factors, genetic susceptibility and risk of type 2 diabetes: A prospective cohort study

AimTo explore the relationships of multiple reproductive factors with type 2 diabetes mellitus (T2DM) risk and the joint effects of reproductive factors and genetic susceptibility. MethodsWe included 262,368 women without prevalent T2DM from the UK biobank. Cox proportional hazards regression models were employed to estimate the relationships of reproductive factors with T2DM risk and the joint effects of reproductive factors and genetic susceptibility. ResultsDuring a mean follow-up of 12.2 years, 8,996 T2DM cases were identified. Early menarche (<12 years, hazard ratio (HR) 1.08 [95 % confidence interval (CI) 1.02;1.13]), late menarche (≥15 years, HR 1.11 [1.04;1.17]), early menopause (<45 years, HR 1.20 [1.12;1.29]), short reproductive lifespan (<30 years, HR 1.25 [1.16;1.35]), hysterectomy (1.31, HR [1.23;1.40]), oophorectomy (HR 1.28 [1.20;1.36]), high parity (≥4, HR 1.25 [1.17;1.34]), early age at first live birth (<20 years, HR 1.23 [1.16;1.31]), miscarriage (HR 1.13 [1.07;1.19]), stillbirth (HR 1.14 [1.03;1.27]), and ever used hormonal replacement therapy (HR 1.19 [1.14;1.24]) were related to a higher T2DM risk, while ever used oral contraceptives (HR 0.93 [0.89;0.98]) was related to a lower T2DM risk. Furthermore, women with reproductive risk factors and high genetic risk had the highest T2DM risk compared to those with low genetic risk and without reproductive risk factors. ConclusionOur findings show that multiple reproductive factors are related to T2DM risk, particularly in women with high genetic risk.

Dynamic Changes in Gut Microbiota-Derived Metabolite Trimethylamine-N-Oxide and Risk of Type 2 Diabetes Mellitus: Potential for Dietary Changes in Diabetes Prevention.

A gut-microbial metabolite, trimethylamine N-oxide (TMAO), has been associated with type 2 diabetes mellitus (T2DM). Few previous prospective studies have addressed associations between the changes in TMAO and T2DM incidence. Data were derived from a longitudinal cohort conducted from 2019 to 2021 in rural areas of Fuxin County, Liaoning Province, China, and 1515 diabetes-free participants aged above 35 years were included. The concentrations of serum TMAO and its precursors were measured at two time points, namely in 2019 and 2021. TMAO and TMAO changes (ΔTMAO) were separately tested in a logistic regression model. For further examination, the odds ratios (ORs) for T2DM were calculated according to a combination of TMAO levels and ΔTMAO levels. During a median follow-up of 1.85 years, 81 incident cases of T2DM (5.35%) were identified. Baseline TMAO levels exhibited a nonlinear relationship, first decreasing and then increasing, and only at the highest quartile was it associated with the risk of T2DM. The OR for T2DM in the highest quartile of serum TMAO was 3.35 (95%CI: 1.55-7.26, p = 0.002), compared with the lowest quartile. As for its precursors, only choline level was associated with T2DM risk and the OR for T2DM in the Q3 and Q4 of serum choline was 3.37 (95%CI: 1.41-8.05, p = 0.006) and 4.72 (95%CI: 1.47-15.13, p = 0.009), respectively. When considering both baseline TMAO levels and ΔTMAO over time, participants with sustained high TMAO levels demonstrated a significantly increased risk of T2DM, with a multivariable-adjusted OR of 8.68 (95%CI: 1.97, 38.34). Both initial serum TMAO levels and long-term serum TMAO changes were collectively and significantly associated with the occurrence of subsequent T2DM events. Interventions aimed at normalizing TMAO levels, such as adopting a healthy dietary pattern, may be particularly beneficial in T2DM prevention.

Additive Interaction Between Insulin Resistance, Chronic Low-Grade Inflammation and Vitamin D Deficiency on the Risk of Type 2 Diabetes Mellitus: A Cohort Study

Objectives The aim of this study was to explore, on an additive scale, the combined effect of the association between insulin resistance (IR), chronic low-grade inflammation (CLGI) and vitamin D deficiency (VDD) on the risk of type 2 Diabetes Mellitus (T2DM). Methods This is a cohort study, including 1484 non-diabetic subjects, followed for a period of four years. 25 hydroxy-vitamin D (25OHD), hypersensitive C-reactive protein (HsCRP) and triglyceride-glucose index were assessed. Based on VDD and CLGI, the population was subdivided into 4 exposure groups. Analysis was performed both in the case of IR and without IR. Cox proportional regression and additive interaction were applied to explore cumulative effects of exposure. Results At follow-up, 162 newly diagnosed cases of T2DM were identified. TYG index (RR = 4.0[2.8–5.6]), HsCRP (RR = 1.6 [1.4–1.7]) and 25OHD (RR = 0.96 [0.39–0.98]) were all significantly associated with the risk of T2DM (p < 0.01). The highest excess risk was recorded in patients cumulating simultaneously IR, CLGI and VDD (RR= 8.4[3.6–19.8], p < 0.0001). The additive interaction was significant, the excess risk linked to the interaction RERI = 10.5[1.43–19.7], the proportion attributable to the combined effect: AP = 0.61[0.37–0.85], and the interaction was synergistic: synergy index: 2.8[1.42–5.69]. Conclusion Baseline levels of TYG index, 25OHD and HsCRP are strongly predictive of future T2DM, and their joint effects are additive and synergistic. Interventional studies are therefore warranted in order to evaluate whether vitamin D supplementation, combined with appropriate anti-inflammatory therapies, is effective as a preventive strategy to reduce the risk of T2DM.

Bayesian network analysis of factors influencing type 2 diabetes, coronary heart disease, and their comorbidities

ObjectiveBayesian network (BN) models were developed to explore the specific relationships between influencing factors and type 2 diabetes mellitus (T2DM), coronary heart disease (CAD), and their comorbidities. The aim was to predict disease occurrence and diagnose etiology using these models, thereby informing the development of effective prevention and control strategies for T2DM, CAD, and their comorbidities.MethodEmploying a case-control design, the study compared individuals with T2DM, CAD, and their comorbidities (case group) with healthy counterparts (control group). Univariate and multivariate Logistic regression analyses were conducted to identify disease-influencing factors. The BN structure was learned using the Tabu search algorithm, with parameter estimation achieved through maximum likelihood estimation. The predictive performance of the BN model was assessed using the confusion matrix, and Netica software was utilized for visual prediction and diagnosis.ResultThe study involved 3,824 participants, including 1,175 controls, 1,163 T2DM cases, 982 CAD cases, and 504 comorbidity cases. The BN model unveiled factors directly and indirectly impacting T2DM, such as age, region, education level, and family history (FH). Variables like exercise, LDL-C, TC, fruit, and sweet food intake exhibited direct effects, while smoking, alcohol consumption, occupation, heart rate, HDL-C, meat, and staple food intake had indirect effects. Similarly, for CAD, factors with direct and indirect effects included age, smoking, SBP, exercise, meat, and fruit intake, while sleeping time and heart rate showed direct effects. Regarding T2DM and CAD comorbidities, age, FBG, SBP, fruit, and sweet intake demonstrated both direct and indirect effects, whereas exercise and HDL-C exhibited direct effects, and region, education level, DBP, and TC showed indirect effects.ConclusionThe BN model constructed using the Tabu search algorithm showcased robust predictive performance, reliability, and applicability in forecasting disease probabilities for T2DM, CAD, and their comorbidities. These findings offer valuable insights for enhancing prevention and control strategies and exploring the application of BN in predicting and diagnosing chronic diseases.

Prevalence of and factors associated with suboptimal glycemic control among patients with type 2 diabetes mellitus attending public hospitals in the Greater Male’ Region, Maldives: a hospital-based cross-sectional study

BackgroundSuboptimal glycemic control of type 2 diabetes mellitus (T2DM) which is defined as having HbA1c greater than 7% is a major public health problem in several countries, including the Maldives. The study aimed to estimate the prevalence and determine factors associated with suboptimal glycemic control among T2DM patients.MethodsA hospital-based cross-sectional was applied to collect data from T2DM patients who attended public hospitals in the Greater Male’ Region, Maldives where were one of the highest reports of T2DM and suboptimal glycemic control cases in the country between January to March 2023 by a validated questionnaire and anthropometric measurements. Five (5) ml blood specimens were collected to measure the glycated hemoglobin (HbA1c) level. Univariable and multivariable logistic regressions were employed to determine factors associated with suboptimal glycemic control of T2DM at a significant level of α = 0.05.ResultsA total of 341 participants were recruited for the study: 65.7% were female, 42.5% were aged 40–60 years, and 42.2% were married. The overall prevalence of suboptimal glycemic control was 50.7%. Ten variables were found to be associated with suboptimal glycemic control in multivariable logistic regression. Those aged 40–60 years (AOR = 3.35, 95% CI = 1.78–6.30), being single (AOR = 2.53, 95% CI = 1.21–5.30), preparation of food using more than three tablespoons of cooking oil (AOR = 2.78, 95% CI = 1.46–5.28), preparation of food with more than three tablespoons of sugar (AOR = 2.55, 95% CI = 1.31–4.93), no exercise (AOR = 2.04, 95% CI = 1.15–3.61), DM diagnosed with more than twenty years prior (AOR = 2.59, 95% CI = 1.34–4.99), obese body mass index (BMI) (AOR = 3.82, 95% CI = 1.75–8.32), high total cholesterol (AOR = 2.43, 95% CI = 1.36–4.35), high triglycerides (AOR = 3.43, 95% CI = 1.93–6.11), and high-level stress (AOR = 2.97, 95% CI = 1.48–5.93) were having a greater odds of having suboptimal glycemic control than those who did not have these characteristics.ConclusionA large proportion of T2DM patients in the Greater Male’ Region fail to control their blood glucose. Effective public health interventions should be introduced, especially interventions focused on reducing cooking oil and sugar in daily cooking practices, encouraging regular exercise, and maintaining cholesterol levels, particularly for those diagnosed with diabetes mellitus for more than 20 years prior.