Association of vitamin D receptor gene polymorphisms with type 2 diabetes mellitus in Taif population: a case-control study / Associação de polimorfismos do gene do receptor de vitamina D com diabetes mellitus tipo 2 na população Taif: um estudo de caso-controle

Abstract Several reasons may underlie the dramatic increase in type2 diabetes mellitus. One of these reasons is the genetic basis and variations. Vitamin D receptor polymorphisms are associated with different diseases such as rheumatoid arthritis and diabetes. The aim of this study is to investigate the possible association of two identified mutations ApaI (rs7975232) and TaqI (rs731236). Eighty-nine healthy individuals and Fifty-six Type 2 Diabetic (T2D) patients were investigated using RFLP technique for genotyping and haplotyping as well. The distribution of Apal genotypes was not statistically significant among the control (P=0.65) as well as for diabetic patients (P=0.58). For Taql allele frequencies of T allele was 0.61 where of G allele was 0.39. The frequency distribution of Taql genotypes was not statistically significant among the control (P=0.26) as well as diabetic patients (P=0.17). Relative risk of the allele T of Apa1 gene is 1.28 and the odds ratio of the same allele is 1.53, while both estimates were < 1.0 of the allele G. Similarly, with the Taq1 gene the relative risk and the odds ratio values for the allele T are 1.09 and 1.27 respectively and both estimates of the allele C were 0.86 for the relative risk and 0.79 for the odds ratio. The pairwise linkage disequilibrium between the two SNPs Taq1/apa1 was statistically significant in control group (D = 0.218, D' = 0.925 and P value < 0.001) and similar data in diabetic groups (D = 0.2, D' = 0.875 and P value < 0.001). These data suggest that the T allele of both genes Apa1 and Taq1 is associated with the increased risk of type 2 diabetes. We think that we need a larger number of volunteers to reach a more accurate conclusion.

Resumo Várias razões podem estar subjacentes ao aumento dramático da diabetes mellitus tipo 2. Um desses motivos é a base genética e variações. Os polimorfismos do receptor da vitamina D estão associados a diferentes doenças, como artrite reumatoide e diabetes. O objetivo deste estudo é investigar a possível associação de duas mutações identificadas ApaI (rs7975232) e TaqI (rs731236). Oitenta e nove indivíduos saudáveis ​​e 56 pacientes com diabetes tipo 2 (T2D) foram investigados usando a técnica RFLP para genotipagem e haplotipagem também. A distribuição dos genótipos Apal não foi estatisticamente significativa entre o controle (P = 0,65), bem como para os pacientes diabéticos (P = 0,58). Para as frequências do alelo Taql, o alelo T foi de 0,61, onde o alelo G foi de 0,39. A distribuição de frequência dos genótipos Taql não foi estatisticamente significativa entre o controle (P = 0,26), bem como os pacientes diabéticos (P = 0,17). O risco relativo do alelo T do gene Apa1 é 1,28 e a razão de chances do mesmo alelo é 1,53, enquanto ambas as estimativas foram < 1,0 do alelo G. Da mesma forma, com o gene Taq1, os valores de risco relativo e razão de chances para o alelo T são 1,09 e 1,27, respectivamente, e ambas as estimativas do alelo C foram de 0,86 para o risco relativo e 0,79 para o odds ratio. O desequilíbrio de ligação par a par entre os dois SNPs Taq1 / apa1 foi estatisticamente significativo no grupo de controle (D = 0,218, D' = 0,925 e valor P < 0,001) e dados semelhantes em grupos diabéticos (D = 0,2, D' = 0,875 e valor P < 0,001). Esses dados sugerem que o alelo T de ambos os genes Apa1 e Taq1 está associado ao aumento do risco de diabetes tipo 2. Achamos que precisamos de um número maior de voluntários para chegar a uma conclusão mais precisa.

Association between serum urea concentrations and the risk of colorectal cancer, particularly in individuals with type 2 diabetes: A cohort study.

Dysregulation of the urea cycle (UC) has been detected in colorectal cancer (CRC). However, the impact of the UC's end product, urea, on CRC development remains unclear. We investigated the association between serum urea and CRC risk based on the data of 348 872 participants cancer-free at recruitment from the UK Biobank. Multivariable Cox proportional hazards models were fitted to conduct risk estimates. Stratification analyses based on sex, diet pattern, metabolic factors (including body mass index [BMI], the estimated glomerular filtration rate [eGFR] and type 2 diabetes [T2D]) and genetic profiles (the polygenic risk score [PRS] of CRC) were conducted to find potential modifiers. During an average of 9.0 years of follow-up, we identified 3408 (1.0%) CRC incident cases. Serum urea showed a nonlinear relationship with CRC risk (P-nonlinear: .035). Lower serum urea levels were associated with a higher CRC risk, with a fully-adjusted hazard ratio (HR) of 1.26 (95% confidence interval [CI]: 1.13-1.41) in the first quartile (Q1) of urea, compared to the Q4. This association was largely consistent across subgroups of sex, protein diet, BMI, eGFR and CRC-PRSs (P-interaction >.05); however, it was stronger in the T2D, with an interaction between urea and T2D on both additive (synergy index: 3.32, [95% CI: 1.24-8.88]) and multiplicative scales (P-interaction: .019). Lower serum urea concentrations were associated with an increased risk of CRC, with a more pronounced effect observed in individuals with T2D. Maintaining stable levels of serum urea has important implications for CRC prevention, particularly in individuals with T2D.

Short-chain chlorinated paraffin (SCCP) exposure and type 2 diabetes risk: A population-based case-control study in East China.

Exposure to persistent organic pollutants may be associated to type 2 diabetes, but the studies on associations between short-chain chlorinated paraffin (SCCP) exposure and type 2 diabetes risk in humans are still scarce. Here, we conducted a case-control study involving 344 participants in Shandong Province, East China, to explore the effects of SCCPs on type 2 diabetes risk and their correlations with glycemic biomarker and serum lipid parameters. SCCPs were detected in all serum samples with a median concentration of 24 ng mL-1 in cases and 19 ng mL-1 in controls. Exposure to C10-CPs, C11-CPs, and ΣSCCPs were positively associated with the risk of type 2 diabetes after adjusting for confounders. The associations remained consistent in stratified analyses but stronger in male participants and obese individuals. In the control group, there were significant and positive correlations between SCCP exposure and levels of total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), total lipid, and non-high-density lipoprotein-cholesterol. Significant joint effects on SCCP exposure and lipid parameters were observed in females when analyzed by the quantile-based g-computation model, and C10-CPs showed the highest contribution. Mediation analysis showed that LDL-C had significant mediation effects on the associations between C10-CPs, C11-CPs, and ΣSCCPs exposure and risk of type 2 diabetes. Moreover, TC and high-density lipoprotein-cholesterol were mediators in the relationship between C11-CPs and type 2 diabetes. Taken together, our study revealed that human exposure to SCCPs may increase the risk of type 2 diabetes and disrupt lipid metabolism.

Effect modification of dietary diversity on the association of air pollution with incidence, complications, and mortality of type 2 diabetes: Results from a large prospective cohort study.

BACKGROUND: It remains unknown whether the dietary diversity score (DDS) could modify the association of long-term exposure to individual air pollutants and the mixture of various pollutants with the incidence, complications, and mortality of type 2 diabetes (T2D). METHODS: We included 162,579 participants from the UK Biobank who had ≥ one 24-h dietary assessment and were free of diabetes or diabetes complications before their last response date of the 24-h dietary assessment. Exposure to benzene, NOx, NO2, SO2, PM10, and PM2.5 was estimated at each participant's residential location using a bilinear interpolation algorithm based on air dispersion models on a 1 km × 1 km grid. The DDS was calculated based on repeated 24-h dietary assessments. The outcomes were the incidence, complications, and mortality of T2D. Associations of individual pollutants and multiple pollutants mixtures with outcomes were assessed using Cox proportional hazards regression models and the quantile g-computation approach, respectively. We further stratified these analyses by DDS. RESULTS: During a median of 10.1 years of follow-up, 2978 participants developed incident T2D, 1181 developed T2D complications, and 242 died due to T2D. Long-term single-pollutant and multi-pollutant exposure were associated with elevated risk of incidence, complications, and mortality of T2D. For example, for incident T2D, the hazard ratio and 95 % confidence interval for each quantile increase were 1.155 (1.095, 1.215) for the air pollution mixture. We observed significant interactions between air pollution (benzene, NOx, NO2, PM10, PM2.5, and the air pollution mixture) and DDS (P-interaction <0.05), with the corresponding associations being significantly weaker in adults with high DDS than in those with low DDS. CONCLUSION: Higher dietary diversity may attenuate the harmful impacts of air pollution on T2D-related outcomes. A higher diversity diet could be used to prevent the onset and progression of T2D induced by long-term exposure to various air pollutants.

Participant and GP perspectives and experiences of screening for undiagnosed type 2 diabetes in community pharmacy during the Pharmacy Diabetes Screening Trial.

BACKGROUND: The Pharmacy Diabetes Screening Trial (PDST) evaluated three approaches to screening for undiagnosed type 2 diabetes mellitus (T2DM) in community pharmacy: (1) paper-based risk assessment (AUSDRISK) alone; and AUSDRISK followed by a point of care test if AUSDRISK ≥ 12; with either (2) HbA1c; or (3) small capillary blood glucose Test (scBGT). This paper reports the perspectives and experiences of the pharmacy screening service of two key stakeholder groups: screening participants and general practitioners (GPs). METHODS: All referred participants (n = 2242) received an online survey to determine the outcome of the referral, as well as their level of satisfaction with the service. In addition, a random sample of 2,989 (20%) of non-referred participants were surveyed to determine their overall experience and level of satisfaction with the service. GPs to whom participants were referred were contacted to establish if, since the date of the screening service, their patient had (1) been to see them; (2) had further tests performed (FBG, RBG, OGTT, HbA1c); or (3) been diagnosed with diabetes or prediabetes. Descriptive statistics were reported for quantitative data. Factors associated with visiting the GP following screening were assessed using multivariable logistic regression. Qualitative data were analysed using content analysis. RESULTS: Response rates 16% (n = 369) and 17% (n = 520) were achieved for the three-month referred and non-referred participant surveys, respectively. Over 90% of respondents were very positive about the screening service (n = 784/853) and would recommend it to a family member or friend (n = 784/853). Participants also reported making significant improvements in diet and exercise, because of the screening. Among referred respondents, those who received a POC test were twice as likely to visit their GP compared to those who received a risk assessment only (OR 2.11 95% CI 1.46-3.06). GPs (15.8% response rate, n = 57/361) indicated that the referral worked well and that recommendations for follow-up care by the pharmacist were appropriate. CONCLUSION: Opportunistic screening of individuals during routine encounters with the community pharmacy in a previously undiagnosed population has been shown to foster positive engagement with consumers and GPs, which may assist in reducing the burden of T2DM on the individual and the community.

Identifying Discrepancies in Gestational Diabetes Mellitus Postpartum Follow-Up During Care Transitions.

BACKGROUND: Gestational diabetes mellitus (GDM) is a common complication of pregnancy that carries lasting risks. For women who have a history of GDM, the risk of developing type 2 diabetes mellitus (T2DM) increases by 50 to 60%. To monitor and prevent the development of T2DM, guidelines suggest screening those with a history of GDM at 6-weeks and 3-years post-delivery. For patients with abnormal lab results at the 6-week mark, it is advised to complete lab work sooner, at the 1-year mark. Data suggests that these guidelines are not being followed globally, and most do not receive adequate screening for T2DM. METHODS: A retroactive chart review of 203 women between 18 and 55 years old with a past medical history significant for GDM was conducted to determine if patients with GDM completed screening for T2DM at 6-week, 1-year, and 3-year timestamps post-delivery. Patient demographics (age, race, ethnicity, language), clinical characteristics (body mass index), provider gender, and whether prediabetes or T2DM developed were recorded. Patients who did not complete the required follow-up received educational materials via the online portal system, and hemoglobin A1c (HbA1c) screening tests were ordered. RESULTS: Ninety days post-intervention, 38 patients (50%) completed the HbA1c screening test, which exceeded our goal of a 5% improvement. Age and BMI 1-year postpartum were found to be significant factors in whether a patient completed HbA1c screening, with 16/18 (89%) completing screening with a healthy BMI 1-year postpartum (18.5 ≤ BMI < 25.0) but only 11/41 (27%) completing screening for patients under 40 years with an unhealthy BMI 1-year postpartum. Of the 38 patients who completed HbA1c screening, 9 (23.7%) had abnormal screening results. CONCLUSION: Follow-up surveillance for T2DM among women with a history of GDM is poor. Electronic health records can be used to identify and rectify gaps in care. Dissemination of standardized educational materials and electronic order entry for patients improved screening between the handoff from obstetrics to primary care.

Age disparities in glucose-lowering treatment for Danish people with type 2 diabetes: a cross-sectional study between 2019 and 2020.

BACKGROUND: The pharmacotherapeutic guidelines for type 2 diabetes have changed considerably during the past decades. SGLT2 inhibitors and GLP-1 receptor agonists have emerged as first-line agents by preventing cardiovascular events within a few years of treatment. In contrast, sulphonylureas and insulin have been deprioritised due to less beneficial effects and the risk of hypoglycaemia-particularly in older people who are frail. We hypothesised that medications with a high risk of hypoglycaemia were used more often in older people compared with younger people. METHODS: In a nationwide cohort of people with type 2 diabetes in Denmark from 2019 to 2020, we described the use of specific glucose-lowering medications in relation to age and glycated haemoglobin A1C (HbA1c) by descriptive statistics and regression models adjusted for sex, socioeconomic factors, renal function, and several comorbidities. FINDINGS: Among 290 890 people with type 2 diabetes, glucose-lowering medication usage peaked at age 70 years. Increasing age was associated with relatively less use of metformin, GLP-1 receptor agonists, and SGLT2 inhibitors and more use of basal insulin, DDP-4 inhibitors, and sulphonylureas. When comparing 80-year-olds with 60-year-olds at similar HbA1c levels of 6·5% (48 mmol/mol), 80-year-olds used 8% (95% CI 7-10%) fewer glucose-lowering medications, were 55% less likely to receive GLP-1 receptor agonists or SGLT2 inhibitors (relative ratio 0·45, 95% CI 0·42-0·48), and 65% more likely to receive sulphonylureas (1·65, 1·54-1·76). Among 23 032 individuals aged 80 years or older with HbA1c levels of less than 6·5% (<48 mmol/mol), 2291 (10%) used sulphonylureas or insulin. INTERPRETATION: In Danish people with type 2 diabetes, the likelihood of using glucose-lowering medications with a high risk of hypoglycaemia (eg, sulphonylureas and basal insulin) increased with age, whereas the likelihood of using GLP-1 receptor agonists and SGLT2 inhibitors decreased. Some people aged 80 years or older with an HbA1c level of less than 6·5% (48 mmol/mol) were potentially overtreated with sulphonylureas or insulin. These findings emphasise the importance of frequently re-evaluating glucose-lowering treatments. FUNDING: None. TRANSLATION: For the Danish translation of the abstract see Supplementary Materials section.

Red meat intake and risk of type 2 diabetes in a prospective cohort study of United States females and males.

BACKGROUND: Studies with methodological advancements are warranted to confirm the relation of red meat consumption to the incidence of type 2 diabetes (T2D). OBJECTIVE: We aimed to assess the relationships of intakes of total, processed, and unprocessed red meat to risk of T2D and to estimate the effects of substituting different protein sources for red meats on T2D risk. METHODS: Our study included 216,695 participants (81% females) from the Nurses' Health Study (NHS), NHS II, and Health Professionals Follow-up Study (HPFS). Red meat intakes were assessed with semiquantitative food frequency questionnaires (FFQs) every 2 to 4 y since the study baselines. We used multivariable-adjusted proportional hazards models to estimate the associations between red meats and T2D. RESULTS: Over 5,483,981 person-years of follow-up, we documented 22,761 T2D cases. Intakes of total, processed, and unprocessed red meat were positively and approximately linearly associated with higher risks of T2D. Comparing the highest to the lowest quintiles, hazard ratios (HR) were 1.62 (95% confidence interval [CI]: 1.53, 1.71) for total red meat, 1.51 (95% CI: 1.44, 1.58) for processed red meat, and 1.40 (95% CI: 1.33, 1.47) for unprocessed red meat. The percentage lower risk of T2D associated with substituting 1 serving/d of nuts and legumes for total red meat was 30% (HR = 0.70, 95% CI: 0.66, 0.74), for processed red meat was 41% (HR = 0.59, 95% CI: 0.55, 0.64), and for unprocessed red meat was 29% (HR = 0.71, 95% CI: 0.67, 0.75); Substituting 1 serving/d of dairy for total, processed, or unprocessed red meat was also associated with significantly lower risk of T2D. The observed associations became stronger after we calibrated dietary intakes to intakes assessed by weighed diet records. CONCLUSIONS: Our study supports current dietary recommendations for limiting consumption of red meat intake and emphasizes the importance of different alternative sources of protein for T2D prevention.

[Association between remnant cholesterol levels and incident diabetic retinopathy in middle-aged and older patients with diabetes].

Objective: To investigate the association between remnant cholesterol (RC) and the risk of diabetic retinopathy (DR) in middle-aged and older individuals with diabetes. Methods: Based on the Shanghai Nicheng Cohort Study database, the data of 1 255 individuals with diabetes aged 55-70 years at baseline (2013-2014) with complete fundus photographs and serum cholesterol data in Nicheng, Shanghai, were analyzed. Multinomial logistic regression models were used to evaluate risk ratios (RRs) and their 95% confidence intervals (CIs) between baseline RC level and incident DR. Results: The median age of the subjects was 61.9 years, and 60.4% were women. After a 4.6-year follow-up, 79 (6.3%) patients developed DR, including 50 (4.0%) mild non-proliferative DR and 29 (2.3%) referable DR (RDR). Multivariable logistic regression showed that each mmol/L increase of RC was associated with a 40% higher risk of RDR (RR=1.40, 95%CI 1.03-1.90). Compared with the lowest tertile of RC (<0.63 mmol/L), the risk of RDR in the highest tertile (≥0.85 mmol/L) increased by 4.59 times (RR=5.59, 95%CI 1.51-20.73). Conclusion: The RC level may help identify individuals at high risk of incident RDR in middle-aged and older Chinese adults with diabetes.

Novel anthropometric parameters in the adult population with prediabetes.

OBJECTIVE: Although it is assumed that novel-derived anthropometric indices can better reflect cardiometabolic risk than traditional ones, the results are conflicting. Previous studies have mainly focused on patients with type 2 diabetes mellitus. However, studies conducted on populations with prediabetes are scarce. The present study aimed to examine the potential relationship between prediabetes and novel anthropometric parameters [that is, cardiometabolic index (CMI), visceral adiposity index (VAI), lipid accumulation product index (LAP), body roundness index (BRI), and body adiposity index (BAI)] and traditional parameters [that is, waist circumference (WC), hip circumference (HC), body mass index (BMI), waist-to-height ratio (WHtR), and waist-to-hip ratio (WHR)] in adults with prediabetes. PATIENTS AND METHODS: This case-control cross-sectional study included 177 patients with prediabetes and 609 control subjects. Biochemical and simple anthropometric parameters were measured (WC, HC, body weight, and height), whereas the other parameters were calculated. RESULTS: WC, CMI, VAI, and LAP independently correlated with prediabetes. Principal component analysis (PCA) was used to extract several factors that correlated with prediabetes. Significant predictive capability was demonstrated for non-traditional anthropometric/lipid-related factors and WHipR-related factors for prediabetes (OR=1.334 and OR=1.202, respectively). However, only non-traditional anthropometric/lipid-related factors (i.e., VAI, CMI, and LAP) demonstrated an independent significant positive relationship with prediabetes in multivariate binary regression analysis. CONCLUSIONS: CMI, VAI, and LAP could be superior to BAI, BRI, and conventional anthropometric parameters for discriminating patients with prediabetes in the adult population. Prospective trials are needed to confirm our results.

Influence of social deprivation on morbidity and all-cause mortality of cardiometabolic multi-morbidity: a cohort analysis of the UK Biobank cohort.

BACKGROUND: The relation of social deprivation with single cardiometabolic disease (CMD) was widely investigated, whereas the association with cardiometabolic multi-morbidity (CMM), defined as experiencing more than two CMDs during the lifetime, is poorly understood. METHODS: We analyzed 345,417 UK Biobank participants without any CMDs at recruitment to study the relation between social deprivation and four CMDs including type II diabetes (T2D), coronary artery disease (CAD), stroke and hypertension. Social deprivation was measured by Townsend deprivation index (TDI), and CMM was defined as occurrence of two or more of the above four diseases. Multivariable Cox models were performed to estimate hazard ratios (HRs) per one standard deviation (SD) change and in quartile (Q1-Q4, with Q1 as reference), as well as 95% confidence intervals (95% CIs). RESULTS: During the follow up, 68,338 participants developed at least one CMD (median follow up of 13.2 years), 16,225 further developed CMM (median follow up of 13.4 years), and 18,876 ultimately died from all causes (median follow up of 13.4 years). Compared to Q1 of TDI (lowest deprivation), the multivariable adjusted HR (95%CIs) of Q4 (highest deprivation) among participants free of any CMDs was 1.23 (1.20 ~ 1.26) for developing one CMD, 1.42 (1.35 ~ 1.48) for developing CMM, and 1.34 (1.27 ~ 1.41) for all-cause mortality. Among participants with one CMD, the adjusted HR (95%CIs) of Q4 was 1.30 (1.27 ~ 1.33) for developing CMM and 1.34 (1.27 ~ 1.41) for all-cause mortality, with HR (95%CIs) = 1.11 (1.06 ~ 1.16) for T2D patients, 1.07 (1.03 ~ 1.11) for CAD patients, 1.07 (1.00 ~ 1.15) for stroke patients, and 1.24 (1.21 ~ 1.28) for hypertension patients. Among participants with CMM, TDI was also related to the risk of all-cause mortality (HR of Q4 = 1.35, 95%CIs 1.28 ~ 1.43). CONCLUSIONS: We revealed that people living with high deprived conditions would suffer from higher hazard of CMD, CMM and all-cause mortality.

Dipeptidyl peptidase-4 inhibitors and the risk of skin cancer among patients with type 2 diabetes: a UK population-based cohort study.

INTRODUCTION: The dipeptidyl peptidase-4 (DPP-4) enzyme significantly influences carcinogenic pathways in the skin. The objective of this study was to determine whether DPP-4 inhibitors are associated with the incidence of melanoma and nonmelanoma skin cancer, compared with sulfonylureas. RESEARCH DESIGN AND METHODS: Using the United Kingdom Clinical Practice Research Datalink, we assembled two new-user active comparator cohorts for each skin cancer outcome from 2007 to 2019. For melanoma, the cohort included 96 739 DPP-4 inhibitor users and 209 341 sulfonylurea users, and 96 411 DPP-4 inhibitor users and 208 626 sulfonylurea users for non-melanoma skin cancer. Propensity score fine stratification weighted Cox proportional hazards models were used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs of melanoma and non-melanoma skin cancer, separately. RESULTS: Overall, DPP-4 inhibitors were associated with a 23% decreased risk of melanoma compared with sulfonylureas (49.7 vs 65.3 per 100 000 person-years, respectively; HR 0.77, 95% CI 0.61 to 0.96). The HR progressively reduced with increasing cumulative duration of use (0-2 years HR 1.14, 95% CI 0.84 to 1.54; 2.1-5 years HR 0.44, 95% CI 0.29 to 0.66; >5 years HR 0.33, 95% CI 0.14 to 0.74). In contrast, these drugs were not associated with the incidence of non-melanoma skin cancer, compared with sulfonylureas (448.1 vs 426.1 per 100 000 person-years, respectively; HR 1.06, 95% CI 0.98 to 1.15). CONCLUSIONS: In this large, population-based cohort study, DPP-4 inhibitors were associated with a reduced risk of melanoma but not non-melanoma skin cancer, compared with sulfonylureas.

Triglycerides/HDL cholesterol ratio and type 2 diabetes incidence: Panasonic Cohort Study 10.

BACKGROUND: Previous studies have investigated the association between the ratio of triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C) and the incidence of diabetes in adults and discovered that a high TG/HDL-C ratio was linked to an elevated risk of new-onset diabetes. However, the comparison of predicting diabetes development among lipid profiles including the TG/HDL-C ratio, and the ratio of TG/HDL-C cut-off value has received limited attention. We examined the relationship between diabetes onset and the TG/HDL-C ratio in addition to the applicable cut-off value for predicting diabetes onset. METHODS: This study included 120,613 participants from the health examination database at Panasonic Corporation from 2008 to 2017. Cox regression analysis employing multivariable models was used to investigate the association between lipid profiles, particularly the ratio of TG/HDL-C and the development of type 2 diabetes (T2D). The multivariable model was adjusted for age, sex, BMI, systolic blood pressure, plasma glucose levels after fasting, smoking status, and exercise habits. Areas under time-dependent receiver operating characteristic (ROC) curves (AUCs) were employed to assess the prediction performance and cut-off values of each indicator. A fasting plasma glucose level of 126 mg/dL, a self-reported history of diabetes, or usage of antidiabetic medicines were used to identify T2D. RESULTS: During the course of the study, 6,080 people developed T2D. The median follow-up duration was 6.0 (3-10) years. Multivariable analysis revealed that the ratio of TG/HDL-C (per unit, HR; 1.03 [95% CI 1.02-1.03]) was substantially linked to the risk of incident T2D. AUC and cut-off points for the ratio of TG/HDL-C for T2D development after 10 years were 0.679 and 2.1, respectively. Furthermore, the AUC of the ratio of TG/HDL-C was considerably larger compared to that of LDL-C, HDL-C, and TG alone (all P < 0.001). We discovered an interaction effect between sex, BMI, and lipid profiles in subgroup analysis. Females and participants having a BMI of < 25 kg/m2 showed a higher correlation between lipid profile levels and T2D onset. CONCLUSIONS: The ratio of TG/HDL-C was found to be a stronger predictor of T2D development within 10 years than LDL-C, HDL-C, or TG, indicating that it may be useful in future medical treatment support.

The influence of insulin-related genetic variants on fetal growth, fetal blood flow, and placental weight in a prospective pregnancy cohort.

The fetal insulin hypothesis proposes that low birthweight and type 2 diabetes (T2D) in adulthood may be two phenotypes of the same genotype. In this study we aimed to explore this theory further by testing the effects of GWAS-identified genetic variants related to insulin release and sensitivity on fetal growth and blood flow from week 20 of gestation to birth and on placental weight at birth. We calculated genetic risk scores (GRS) of first phase insulin release (FPIR), fasting insulin (FI), combined insulin resistance and dyslipidaemia (IR + DLD) and insulin sensitivity (IS) in a study population of 665 genotyped newborns. Two-dimensional ultrasound measurements with estimation of fetal weight and blood flow were carried out at week 20, 25, and 32 of gestation in all 665 pregnancies. Birthweight and placental weight were registered at birth. Associations between the GRSs and fetal growth, blood flow and placental weight were investigated using linear mixed models. The FPIR GRS was directly associated with fetal growth from week 20 to birth, and both the FI GRS, IR + DLD GRS, and IS GRS were associated with placental weight at birth. Our findings indicate that insulin-related genetic variants might primarily affect fetal growth via the placenta.

Psychiatric comorbidities in women with cardiometabolic conditions with and without ADHD: a population-based study.

BACKGROUND: Leveraging a large nationwide study of Icelandic women, we aimed to narrow the evidence gap around female attention-deficit/hyperactivity disorder (ADHD) and cardiometabolic comorbidities by determining the prevalence of obesity, hypertension, type 2 diabetes, and cardiovascular diseases among women with ADHD and examine the association between cardiometabolic conditions and co-occurring ADHD with anxiety and mood disorders, alcoholism/substance use disorder (SUD), self-harm, and suicide attempts. METHODS: We conducted a cross-sectional analysis of the nationwide, all-female, population-based SAGA Cohort Study (n = 26,668). To ascertain diagnoses and symptoms, we used self-reported history of ADHD diagnoses, selected cardiometabolic conditions and psychiatric disorders, and measured current depressive, anxiety, and PTSD symptoms through appropriate questionnaires (PHQ-9, GAD-7, and PCL-5). We calculated age-adjusted prevalences of cardiometabolic conditions by women's ADHD status and estimated adjusted prevalence ratios (PR) and 95% confidence intervals (CI), using modified Poisson regression models. Similarly, we assessed the association of cardiometabolic conditions and co-occurring ADHD with current psychiatric symptoms and psychiatric disorders, using adjusted PRs and 95% CIs. RESULTS: We identified 2299 (8.6%) women with a history of ADHD diagnosis. The age-adjusted prevalence of having at least one cardiometabolic condition was higher among women with ADHD (49.5%) than those without (41.7%), (PR = 1.19, 95% CI 1.14-1.25), with higher prevalence of all measured cardiometabolic conditions (myocardial infarctions (PR = 2.53, 95% CI 1.83--3.49), type 2 diabetes (PR = 2.08, 95% CI 1.66-2.61), hypertension (PR = 1.23, 95% CI 1.12-1.34), and obesity (PR = 1.18, 95% CI 1.11-1.25)). Women with cardiometabolic conditions and co-occurring ADHD had, compared with those without ADHD, substantially increased prevalence of (a) all measured mood and anxiety disorders, e.g., depression (PR = 2.38, 95% CI 2.19-2.58), bipolar disorder (PR = 4.81, 95% CI 3.65-6.35), posttraumatic stress disorder (PR = 2.78, 95% CI 2.52-3.07), social phobia (PR = 2.96, 95% CI 2.64-3.32); (b) moderate/severe depressive, anxiety, and PTSD symptoms with PR = 1.76 (95% CI 1.67-1.85), PR = 1.97 (95% CI 1.82-2.12), and PR = 2.01 (95% CI 1.88-2.15), respectively; (c) alcoholism/SUD, PR = 4.79 (95% CI 3.90-5.89); and (d) self-harm, PR = 1.47 (95% CI 1.29-1.67) and suicide attempts, PR = 2.37 (95% CI 2.05-2.73). CONCLUSIONS: ADHD is overrepresented among women with cardiometabolic conditions and contributes substantially to other psychiatric comorbidities among women with cardiometabolic conditions.

The Role of Gut Microbiota in Gestational Diabetes Mellitus Affecting Intergenerational Glucose Metabolism: Possible Mechanisms and Interventions.

The incidence of type 2 diabetes is increasing every year and has become a serious public health problem. In addition to genetic factors, environmental factors in early life development are risk factors for diabetes. There is growing evidence that the gut microbiota plays an important role in glucose metabolism, and the gut microbiota of pregnant women with gestational diabetes mellitus (GDM) differs significantly from that of healthy pregnant women. This article reviews the role of maternal gut microbiota in offspring glucose metabolism. To explore the potential mechanisms by which the gut microbiota affects glucose metabolism in offspring, we summarize clinical studies and experimental animal models that support the hypothesis that the gut microbiota affects glucose metabolism in offspring from dams with GDM and discuss interventions that could improve glucose metabolism in offspring. Given that adverse pregnancy outcomes severely impact the quality of survival, reversing the deleterious effects of abnormal glucose metabolism in offspring through early intervention is important for both mothers and their offspring.

The Global Burden of Type 2 Diabetes Attributable to Dietary Risks: Insights from the Global Burden of Disease Study 2019.

The Global Burden of Disease Study (GBD) 2019 reveals an increasing prevalence of Type 2 Diabetes Mellitus (T2DM) from 1990 to 2019. This study delves into the role of dietary risk factors across different demographic and socioeconomic groups. Utilizing data from the GBD 2019, it analyzes age-adjusted T2DM metrics-death counts, Disability-Adjusted Life Years (DALYs), and Age-Standardized Rates (ASRs)-stratified by age, sex, and region. The study employed Estimated Annual Percentage Changes (EAPCs) to track trends over time. The results show that in 2019, 26.07% of T2DM mortality and 27.08% of T2DM DALYs were attributable to poor diets, particularly those low in fruits and high in red and processed meats. There was a marked increase in both the death rate and DALY rate associated with dietary risks over this period, indicating the significant impact of dietary factors on the global T2DM landscape. Geographic variations in T2DM trends were significant, with regions like Southern Sub-Saharan Africa and Central Asia experiencing the most substantial increases in Age-Standardized Mortality Rate (ASMR) and Age-Standardized DALY Rate (ASDR). A positive correlation was noted between Socio-Demographic Index (SDI) and T2DM burden due to dietary risk factors. The study concludes that targeted public health initiatives promoting dietary changes could substantially reduce the global T2DM burden.

An early prediction model for type 2 diabetes mellitus based on genetic variants and nongenetic risk factors in a Han Chinese cohort.

Aims: We aimed to construct a prediction model of type 2 diabetes mellitus (T2DM) in a Han Chinese cohort using a genetic risk score (GRS) and a nongenetic risk score (NGRS). Methods: A total of 297 Han Chinese subjects who were free from type 2 diabetes mellitus were selected from the Tianjin Medical University Chronic Disease Cohort for a prospective cohort study. Clinical characteristics were collected at baseline and subsequently tracked for a duration of 9 years. Genome-wide association studies (GWASs) were performed for T2DM-related phenotypes. The GRS was constructed using 13 T2DM-related quantitative trait single nucleotide polymorphisms (SNPs) loci derived from GWASs, and NGRS was calculated from 4 biochemical indicators of independent risk that screened by multifactorial Cox regressions. Results: We found that HOMA-IR, uric acid, and low HDL were independent risk factors for T2DM (HR >1; P<0.05), and the NGRS model was created using these three nongenetic risk factors, with an area under the ROC curve (AUC) of 0.678; high fasting glucose (FPG >5 mmol/L) was a key risk factor for T2DM (HR = 7.174, P< 0.001), and its addition to the NGRS model caused a significant improvement in AUC (from 0.678 to 0.764). By adding 13 SNPs associated with T2DM to the GRS prediction model, the AUC increased to 0.892. The final combined prediction model was created by taking the arithmetic sum of the two models, which had an AUC of 0.908, a sensitivity of 0.845, and a specificity of 0.839. Conclusions: We constructed a comprehensive prediction model for type 2 diabetes out of a Han Chinese cohort. Along with independent risk factors, GRS is a crucial element to predicting the risk of type 2 diabetes mellitus.