Risk Of Type 2 Diabetes Mellitus Research Articles

Serum bile acid and unsaturated fatty acid profiles of non-alcoholic fatty liver disease in type 2 diabetic patients

BACKGROUND The understanding of bile acid (BA) and unsaturated fatty acid (UFA) profiles, as well as their dysregulation, remains elusive in individuals with type 2 diabetes mellitus (T2DM) coexisting with non-alcoholic fatty liver disease (NAFLD). Investigating these metabolites could offer valuable insights into the pathophysiology of NAFLD in T2DM. AIM To identify potential metabolite biomarkers capable of distinguishing between NAFLD and T2DM. METHODS A training model was developed involving 399 participants, comprising 113 healthy controls (HCs), 134 individuals with T2DM without NAFLD, and 152 individuals with T2DM and NAFLD. External validation encompassed 172 participants. NAFLD patients were divided based on liver fibrosis scores. The analytical approach employed univariate testing, orthogonal partial least squares-discriminant analysis, logistic regression, receiver operating characteristic curve analysis, and decision curve analysis to pinpoint and assess the diagnostic value of serum biomarkers. RESULTS Compared to HCs, both T2DM and NAFLD groups exhibited diminished levels of specific BAs. In UFAs, particular acids exhibited a positive correlation with NAFLD risk in T2DM, while the ω-6:ω-3 UFA ratio demonstrated a negative correlation. Levels of α-linolenic acid and γ-linolenic acid were linked to significant liver fibrosis in NAFLD. The validation cohort substantiated the predictive efficacy of these biomarkers for assessing NAFLD risk in T2DM patients. CONCLUSION This study underscores the connection between altered BA and UFA profiles and the presence of NAFLD in individuals with T2DM, proposing their potential as biomarkers in the pathogenesis of NAFLD.

Glucokinase regulatory protein rs780094 polymorphism is associated with type 2 diabetes mellitus, dyslipidemia, non-alcoholic fatty liver disease, and nephropathy

In this editorial, we comment on the article by Liu et al published in the recent issue of the World Journal of Diabetes (Relationship between GCKR gene rs780094 polymorphism and type 2 diabetes with albuminuria). Type 2 diabetes mellitus (T2DM) is a chronic disorder characterized by dysregulated glucose homeostasis. The persistent elevated blood glucose level in T2DM significantly increases the risk of developing severe complications, including cardiovascular disease, re-tinopathy, neuropathy, and nephropathy. T2DM arises from a complex interplay between genetic, epigenetic, and environmental factors. Global genomic studies have identified numerous genetic variations associated with an increased risk of T2DM. Specifically, variations within the glucokinase regulatory protein (GCKR) gene have been linked to heightened susceptibility to T2DM and its associated complications. The clinical trial by Liu et al further elucidates the role of the GCKR rs780094 polymorphism in T2DM and nephropathy development. Their findings demonstrate that individuals carrying the CT or TT genotype at the GCKR rs780094 locus are at a higher risk of developing T2DM with albuminuria compared to those with the CC genotype. These findings highlight the importance of genetic testing and risk assessment in T2DM to develop effective preventive strategies and personalized treatment plans.

Analysis of the risk of diabetes mellitus type 2 in women workers at a reference hospital in Asuncion, Paraguay

Analysis of the risk of diabetes mellitus type 2 in women workers at a reference hospital in Asuncion, Paraguay

Metformin-Insulin Combination Therapy Ameliorates Hyperglycemia in a COVID-19 Type-1 Diabetic Child with Insulin Resistance: A Case Report

Introduction: Recent studies have indicated that COVID-19 may be linked with type 1 diabetes mellitus (T1DM) in children. It has been observed that not only is there a potential risk of new-onset pediatric T1DM associated with COVID-19, but numerous cases also present with insulin resistance, necessitating prompt management. Case Presentation: We report the case of a 9-year-old girl with a history of T1DM who was admitted with hyperglycemia (blood sugar > 750 mg/dL) and subsequently diagnosed with COVID-19. The co-administration of metformin and intravenous insulin successfully resolved subcutaneous insulin resistance, allowing the patient to be discharged in good health. Conclusions: Insulin resistance is a recognized complication of SARS-CoV-2 infection, and metformin combined with intravenous insulin has proven effective in managing hyperglycemia and improving insulin resistance in this context. Further research is necessary to elucidate the underlying mechanisms and develop optimal therapeutic strategies.

Association between ideal cardiovascular health and abnormal glucose metabolism in the elderly: evidence based on real-world data

BackgroundLimited information is available on the effect of ideal cardiovascular health (CVH) and abnormal glucose metabolism in elderly people. We aimed to analyze the prevalence of CVH behaviors, abnormal glucose metabolism, and their correlation in 65 and older people.MethodsIn this study, randomized cluster sampling, multivariate logistic regression, and mediating effects analysis were used. Recruiting was carried out between January 2020 and December 2020, and 1984 participants aged 65 years or older completed the study.ResultsThe prevalence of abnormal glucose metabolism in this group was 26.7% (n = 529), among which the prevalence of impaired fasting glucose (IFG) was 9.5% (male vs. female: 8.7% vs 10.1%, P = 0.338), and the prevalence of type 2 diabetes mellitus (T2DM) was 19.0% (male vs. female: 17.8 vs. 19.8%, P = 0.256). The ideal CVH rate (number of ideal CVH metrics ≥ 5) was only 21.0%. The risk of IFG and T2DM decreased by 23% and 20% with each increase in one ideal CVH metrics, with OR (95%CI) of 0.77(0.65–0.92) and 0.80(0.71–0.90), respectively (P-trend < 0.001). TyG fully mediated the ideal CVH and the incidence of T2DM, and its mediating effect OR (95%CI) was 0.88(0.84–0.91).ConclusionsEach increase in an ideal CVH measure may effectively reduce the risk of abnormal glucose metabolism by more than 20%.

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.

The Effect of Thiazolidinediones in Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis of Randomised Controlled Trials.

Polycystic ovary syndrome (PCOS) is a complex endocrine condition affecting women of reproductive age. It is characterised by insulin resistance and is a risk for type2 diabetes mellitus (T2DM). The aim of this study was to review the literature on the effect of pioglitazone and rosiglitazone in women with PCOS. We searched PubMed, MEDLINE, Scopus, Embase, Cochrane Library and the Web of Science in April 2020 and updated in March 2023. Studies were deemed eligible if they were randomised controlled trials (RCTs) reporting the effect of pioglitazone and rosiglitazone in PCOS. The study follows the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Two reviewers independently extracted data and assessed the risk of bias using the Cochrane risk of bias tool. Out of 814 initially retrieved citations, 24 randomised clinical trials (RCTs) involving 976 participants were deemed eligible. Among women with PCOS, treatment with rosiglitazone compared to metformin resulted in a significant increase in the mean body weight (mean difference (MD) 1.95kg; 95%CI 0.03-3.87, p = 0.05). Metformin treatment was associated with a reduction in mean body mass index (BMI) compared to pioglitazone (MD 0.85kg/m2; 95%CI 0.13-1.57, p = 0.02). Both pioglitazone compared to placebo (MD 2.56kg/m2; 95%CI 1.77-3.34, p < 0.00001) and rosiglitazone compared to metformin (MD 0.74kg/m2; 95%CI 0.07-1.41, p = 0.03) were associated with a significant increase in BMI. Treatment with pioglitazone compared to placebo showed a significant reduction in triglycerides (MD - 0.20mmol/L; 95%CI - 0.38 to - 0.03, p = 0.02) and fasting insulin levels (MD - 11.47mmol/L; 95%CI - 20.20, - 2.27, p = 0.01). Rosiglitazone compared to metformin was marginally significantly associated with a reduction in the luteinising hormone (LH) (MD - 0.62; 95%CI - 1.25-0.00, p = 0.05). Both pioglitazone and rosiglitazone were associated with significant increases in body weight and BMI when compared with metformin or placebo. Pioglitazone significantly reduced triglycerides and fasting insulin when compared with placebo while rosiglitazone showed a modest reduction of LH when compared with metformin. CRD42020178783.

P049 Genetic liability to rheumatoid arthritis and the risk of cardiometabolic diseases

Abstract Background/Aims Patients with rheumatoid arthritis (RA) are at an increased risk of comorbidities. Previous studies have reported a positive association between RA and cardiometabolic disease risk. However, few causal inference studies have addressed the different serological subtypes of RA and their association with cardiometabolic disease risk. This Mendelian randomisation (MR) study was conducted to offer insight into the causal pathway underlying this association. Methods A two-sample MR analysis was conducted using genetic variants as instrumental variables (IVs) to estimate the causal effect of genetic liability to RA and its serological subsets (seropositive and seronegative) on cardiometabolic disease risk including hypertension, coronary artery disease (CAD), atrial fibrillation, heart failure, stroke, and type 2 diabetes mellitus (T2DM). IVs were obtained from two genome-wide association studies (GWASs) for RA (53,663 cases and 1,064,978 controls [n =177 IVs]). Summary statistics were stratified for serological status including seropositive RA (RA+; 35,240 cases, [n = 195 IVs]), and seronegative RA (RA−; 8,515 cases, [n = 12 IVs]). Both subsets were compared to 990,155 controls. Summary statistics for cardiometabolic diseases were extracted from GWASs of European ancestries. Results The inverse-variance weighted (IVW) model showed a positive association between genetic liability to RA and the risk of CAD, heart failure, and T2DM; CAD, (Odds ratio [OR] = 1.04; 95% confidence interval [CI] 1.01-1.06; P-value [P] = 2.7210-3, heart failure, OR = 1.03; 95% CI 1.01-1.06; P = 0.018, and T2DM, OR = 1.08; 95% CI 1.05-1.11; P = 4.6310-8.). A similar association direction was observed between genetic liability to RA+ and the risk of CAD and T2DM; CAD, (OR = 1.02; 95% CI 1.01-1.04; P = 0.009, T2DM, OR = 1.05; 95% CI 1.03-1.07; P = 3.9110-7). Genetic liability to RA− was positively associated with T2DM risk; (OR = 1.09; 95% CI 1.02-1.16; P = 0.011). Conclusion In this MR study, a positive association of genetic liability to RA was demonstrated with CAD, heart failure and T2DM risk. Genetic liability to RA+ was associated with an increased risk of CAD and T2DM risk while genetic liability to RA− was positively associated with T2DM risk. Future research should investigate genetic architecture of RA including its serological subsets with cardiometabolic diseases to delineate the genes associated with these comorbidities. Disclosure S. Alduhayhi: None. M. Soomro: None. S. Zhao: None. A. Barton: None. A. Morris: None. J. Bowes: None.

Effects of Age and Biological Age-Determining Factors on Telomere Length in Type 2 Diabetes Mellitus Patients

Background and Objectives: Telomere length (TL) undergoes attrition over time, indicating the process of aging, and is linked to a higher risk of diabetes mellitus type 2 (DM-2). This molecular epidemiological study investigated the correlation between leukocyte TL variations and determinants of molecular aging in 121 Pakistani DM-2 patients. Materials and Methods: The ratio of telomere repeats to the SCG copy number was calculated to estimate the TL in each sample through qPCR assays. Results: In this study, smaller mean TLs were observed in 48.8% of males (6.35 ± 0.82 kb), 3.3% of underweight patients (5.77 ± 1.14 kb), 61.2% of patients on regular medication (6.50 ± 0.79 kb), 9.1% with very high stress levels (5.94 ± 0.99 kb), 31.4% of smokers (5.83 ± 0.73 kb), 40.5% of patients with low physical activity (6.47 ± 0.69 kb), 47.9% of hypertensive patients (5.93 ± 0.64 kb), 10.7% of patients with DM-2 for more than 15 years, and 3.3% of patients with a delayed onset of DM-2 (6.00 ± 0.93 kb). Conclusion: This research indicated a significant negative correlation (R2 = 0.143) between TL and the age of DM-2 patients. This study demonstrated that the correlation of telomere length with age in DM-2 patients was also influenced by various age-determining factors, including hypertension and smoking habits, with significant strong (R2 = 0.526) and moderate (R2 = 0.299) correlations, respectively; sex, obesity, the stress level and age at the onset of diabetes with significant weak correlations (R2 = 0.043, 0.041, 0.037, and 0.065, respectively), and no significant correlations of medication routine, rate of physical activity, and the durations of DM-2 with age-adjusted telomere length. These results challenge TL as the sole marker of aging, thus highlighting the need for further research to understand underlying factors and mitigate the effect of aging or premature aging on diabetic patients.

Causal relationships of Helicobacter pylori and related gastrointestinal diseases on Type 2 diabetes: Univariable and Multivariable Mendelian randomization.

Previous observational studies have demonstrated a connection between the risk of Type 2 diabetes mellitus (T2DM) and gastrointestinal problems brought on by Helicobacter pylori (H. pylori) infection. However, little is understood about how these factors impact on T2DM. This study used data from the GWAS database on H. pylori antibodies, gastroduodenal ulcers, chronic gastritis, gastric cancer, T2DM and information on potential mediators: obesity, glycosylated hemoglobin (HbA1c) and blood glucose levels. Using univariate Mendelian randomization (MR) and multivariate MR (MVMR) analyses to evaluate the relationship between H. pylori and associated gastrointestinal diseases with the risk of developing of T2DM and explore the presence of mediators to ascertain the probable mechanisms. Genetic evidence suggests that H. pylori IgG antibody (P = 0.006, b = 0.0945, OR = 1.0995, 95% CI = 1.023-1.176), H. pylori GroEL antibody (P = 0.028, OR = 1.033, 95% CI = 1.004-1.064), gastroduodenal ulcers (P = 0.019, OR = 1.036, 95% CI = 1.006-1.068) and chronic gastritis (P = 0.005, OR = 1.042, 95% CI = 1.012-1.074) are all linked to an increased risk of T2DM, additionally, H. pylori IgG antibody is associated with obesity (P = 0.034, OR = 1.03, 95% CI = 1.002-1.055). The results of MVMR showed that the pathogenic relationship between H. pylori GroEL antibody and gastroduodenal ulcer in T2DM is mediated by blood glucose level and obesity, respectively. Our study found that H. pylori IgG antibody, H. pylori GroEL antibody, gastroduodenal ulcer and chronic gastritis are all related to t T2DM, and blood glucose level and obesity mediate the development of H. pylori GroEL antibody and gastroduodenal ulcer on T2DM, respectively. These findings may inform new prevention and intervention strategies for T2DM.

Association between Diet Quality and Risk of Type 2 Diabetes Mellitus in Patients with Coronary Heart Disease: Findings from the CORDIOPREV Study.

The incidence of type 2 diabetes mellitus (T2DM) is growing in Western countries. Nutritional interventions that promote high-quality dietary patterns could help reverse this trend. We aimed to evaluate whether changes in Nutrient-Rich Food Index 9.3 (NRF9.3) were related to the risk of developing T2DM in patients with coronary heart disease (CHD). The study was carried out in the context of two healthy dietary interventions (a Mediterranean and a low-fat diet). For this purpose, we evaluated all the patients in the CORDIOPREV study without T2DM at baseline. Data were obtained during the first 5 years of dietary intervention. The score was calculated using the Food Frequency Questionnaires at baseline and after 1 year of intervention. After 5 years of follow-up, 106 patients developed T2DM (incident-T2DM), while 316 subjects did not (non-T2DM). Total NRF9.3 score and changes during the first year of intervention were compared between incident-T2DM and non-T2DM. Incident-T2DM showed less improvement in NRF9.3 than non-T2DM (p = 0.010). In the multi-adjusted Cox proportional hazard study, patients with greater improvement in NRF9.3 had over 50% less risk of developing T2DM compared with the lowest tertile (HR 2.10, 95%, CI = 1.12-3.56). In conclusion, improved diet quality in terms of nutrient density after the dietary intervention was associated with a lower risk of T2DM in patients with CHD.

Relationship between indices of insulin resistance and incident type 2 diabetes mellitus in Chinese adults.

Insulin resistance (IR) is a pivotal pathogenesis characteristic of type 2 diabetes mellitus (T2DM). The current study aimed to explore the association between triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-c), triglyceride-glucose (TyG), and triglyceride glucose-body mass index (TyG-BMI), and T2DM incidence. A total of 116,855 Chinese adults aged over 20 without diabetes were included. Multivariate Cox regression analysis and restricted cubic spine were utilized to investigate the association between IR indicators and T2DM. The T2DM risk across different quartiles of IR parameters was compared using Kaplan-Meier curves. The receiver operating characteristic analysis was used to investigate the predictive potential of each IR indicator for future T2DM. A total of 2685 participants developed T2DM during a median follow-up of 2.98 years. The adjusted hazard ratios (HR) of incident T2DM were 1.177, 2.766, and 1.1018 for TG/HDL-c, TyG, and TyG-BMI, respectively. There were significant increasing trends of T2DM across the quartiles of TG/HDL-c, TyG, and TyG-BMI. The HRs of new-onset T2DM in the highest quartiles versus the lowest quartile of TG/HDL-c, TyG, and TyG-BMI were 3.298, 8.402, and 8.468. RCS revealed the nonlinear relationship between IR and T2DM risk. The correlations between IR and T2DM were more pronounced in subjects aged <40. TyG-BMI had the highest predictive value for incident T2DM (AUC = 0.774), with a cut-off value of 213.289. TG/HDL-c, TyG, and TyG-BMI index were all significantly positively associated with higher risk for future T2DM. Baseline TyG-BMI level had high predictive value for the identification of T2DM.

Association between predicted fat mass, predicted lean mass, predicted percent fat and type 2 diabetes mellitus in Japanese adults: a retrospective study.

Type 2 diabetes mellitus (T2DM) is known to have obesity as a risk factor. Body mass index cannot distinguish between lean mass and fat mass. We aimed to examine the association between predicted fat mass, predicted lean mass, predicted percent fat and risk of T2DM in Japanese adults. We also explored whether these three new parameters could predict T2DM better than other obesity markers. This present study is a secondary data analysis. The study enrolled 20,944 Japanese individuals who participated in the NAGALA medical assessment program between 2004 and 2015. 15,453 participants who are eligible and have complete information were included to our analysis. Through the use of Kaplan-Meier curve, restricted cubic spline and univariate and multivariate Cox regression analysis, the relationship between predicted fat mass, predicted lean mass, predicted percent fat and T2DM risk was examined. The area under the curve method was used to assess the differences between these markers of obesity. A total of 373 cases of T2DM occurred over a median time of 5.4 years. In the male group, we found a U-shaped connection between predicted fat mass, predicted lean mass, and T2DM onset (p value, non-linearity < 0.05). A linear relationship was found between predicted percent fat and T2DM onset. The linear relationship was also found in the female group for predicted fat mass, and predicted percent fat. And for women, predicted lean mass was not an independent predictor. The area under the curve (AUC) for predicted fat mass, predicted lean mass, predicted percent fat in men was 0.673 (95%CI: 0.639 ~ 0.707), 0.598 (95%CI: 0.561 ~ 0.635), 0.715 (95%CI: 0.684 ~ 0.745), respectively. In males, WHtR was the strongest predictor (AUC 0.7151, 95%CI: 0.684 ~ 0.746), followed by predicted percent fat (AUC 0.7150, 95%CI: 0.684 ~ 0.745). In the females, WHtR was also the strongest predictor (AUC 0.758, 95%CI: 0.703 ~ 0.813), followed by body mass index (AUC 0.757, 95%CI: 0.704 ~ 0.811) and predicted percent fat (AUC 0.742, 95%CI: 0.687 ~ 0.798). Predicted fat mass, predicted lean mass, predicted percent fat were strongly connected with an increased risk for developing T2DM in Japanese, particularly in males. WHtR and predicted percent fat had a slightly better discrimination than other common obesity indicators in males. In the females, predicted fat mass and predicted percent fat were associated with T2DM risk, WHtR and body mass index had the slightly higher predictive power.

Baseline glycated albumin level and risk of type 2 diabetes mellitus in Healthy individuals: a retrospective longitudinal observation in Korea

Glycated albumin (GA) reflects glycemic status for the past three weeks. GA level demonstrates a strong correlation with HbA1c level and is used as an adjunctive biomarker for diagnosis and monitoring of type 2 diabetes mellitus (T2DM). In this study, we validated the predictive performance of baseline GA for development of T2DM in healthy individuals in Korea. From August 2013 to September 2014, the medical records of 3,771 healthy Koreans were retrospectively reviewed. Each participant was categorized into tertiles based on initial GA level. During the follow-up period through May 2020, study participants were evaluated for T2DM using HbA1c, fasting glucose level, and a self-reported diagnosis history. Baseline GA level by tertile (T1 to T3) was 10.4 ± 0.8% (mean ± SD), 12.1 ± 0.3%, and 13.7 ± 0.9%, respectively. The median follow-up was 5.97 years, during which 4.9% (186 of 3,771) of the participants developed T2DM. After adjusting for confounding factors, the hazard ratio for the development of T2DM in the highest GA level group (T3) compared to the reference group (T1) was 2.46 (95% CI, 1.7 to 3.58, p < 0.001 for trend) with a Harrell’s C index of 0.80 (95% CI, 0.76 to 0.83). Also, within highest group of baseline HbA1c and FG levels, higher GA levels were associated with an increased HRs for T2DM. In conclusion, Our study confirms that the risk of T2DM increases with baseline GA level. Additional follow-up of the cohort is warranted to investigate the correlations between GA and other clinical indicators including diabetic complications.

Angiotensin-converting enzyme I/D gene polymorphism and risk of type 2 diabetes mellitus in Iranian individuals

This study aimed to examine the relationship between type 2 diabetes mellitus (T2DM) and renin-angiotensin system gene polymorphisms in the Iranian population. Additionally, we performed a straightforward meta-analysis of the present articles to better understand this role. A total of 100 Iranian individuals, 50 patients with T2DM, and 50 age-matched healthy individuals were included in this study. DNA was extracted using the salting-out approach, polymerase chain reaction was used to amplify the angiotensin-converting enzyme (ACE) gene, electrophoresis techniques were used, and genotyping was performed. We also searched PubMed, Web of Science, Scopus, and Google Scholar databases for papers published in 2023. We found a significantly higher frequency of I/D genotype in the patient group than in the control group, and the risk of T2DM was 10 times higher in individuals with the I/D genotype (OR, 10 [95% CI, 3.7 to 27]; p < 0.0001) and also 2.85 time higher in individuals with the D allele OR, 2.85 [95% CI, 1.55 to 5.24]; p < 0.001). The ACE polymorphism alleles D and I/D genotypes may increase the risk of developing T2DM in an Iranian population.

Integration of omics technologies for the identification of predictive biomarkers in type 2 diabetes: a comprehensive analysis of recent literature

Background. Omics technologies, such as genomics, proteomics, metabolomics, and Transcriptomics are being used for identifying biomarkers. These biomarkers are unraveling the molecular mechanisms underlying type 2 diabetes mellitus (T2DM), which can help to promote more personalized treatment strategies and advance our understanding of disease pathogenesis. Omics approaches enable the examination of genetic, protein, metabolic, and gene expression profiles more comprehensively while offering insights into T2DM risk, progression, and potential therapeutic targets. Methods: This review follows a systematic methodology, aimed at evaluating omics technology’s role in diabetes research. Utilizing literature searches, we got an initial pool of 257 studies with a rigorous selection process and narrowed the selection to 10 high-quality studies. Our methodology approach ensured the inclusion of relevant, peer-reviewed articles that contribute significantly to understanding the application of omics technologies in predicting biomarkers for type 2 diabetes. Results: The systematic review identifies ten high-quality studies illuminating substantial omics technology’s role in advancing our understanding of type 2 diabetes (T2D). Collectively, these studies demonstrate how genomics, proteomics, metagenomics, metabolomics, and Transcriptomics have uncovered novel biomarkers and molecular pathways for T2D. Our findings underscore all the omics potentials specifically for developing predictive biomarkers, enhancing diagnostics, and tailoring personalized treatment strategies. Genetic variations, metabolic alterations, and protein and RNA expression profiles were highlighted as key areas where omics technologies offer insights into the pathophysiology and management of T2D.

Effects of sugary drinks, coffee, tea and fruit juice on incidence rate, mortality and cardiovascular complications of type2 diabetes patients: a systematic review and meta-analysis

Abstract Aims Despite more and more studies indicate that beverages play an important role in type 2 diabetes mellitus(T2DM), the efficacy of intaking different beverages for T2DM has not been clearly stated in one article. The meta-analysis was performed, which aims to assess the effects of beverages on mortality and cardiovascular complications in patients with type 2 diabetes and the incidence of T2DM. Method PubMed, Embase, Web of Science and Cochrane Library databases were search up to March, 2023 to identify relevant studies, including studies researching beverage consumption, the incidence and mortality of T2DM and incidence of cardiovascular disease, a kind of complication of T2DM. The way to explore the source of heterogeneity is performing subgroup analyses and sensitivity analyses. Funnel plots and Egger’s regression test were performed to assess publication bias. The Hazard ratio (HR) and 95% confidence intervals (95% CIs) were used to analysis the results. Fifteen observational studies were included in our meta-analysis. Results Fifteen eligible articles were included sugar-sweetened beverages(SSB) consumption increased the mortality and incidence of T2DM ( Hazard ratio (HR), 1.20; 95% confidence interval (CI), 1.05–1.38; P = 0.01 and HR, 1.15; 95% CI,1.06–1.24; P = 0.001), respectively. Artificially-sweetened beverages (ASB) consumption was not associated with the mortality and incidence of T2DM (HR,0.96;95%CI, 0.86–1.07; P = 0.464 and HR, 1.15; 95% CI,1.05–1.26; P = 0.003), respectively. Fruit juice consumption increased the incidence of T2DM (HR,1.08;95%CI,1.02–1.14, P = 0.296). Tea or coffee consumption can reduce the incidence of T2DM (HR, 0.89; 95%CI,0.81–0.98; P = 0.016). Tea or coffee consumption was associated with a lower risk of mortality of T2DM (HR,0.84; 95% Cl, 0.75–0.94; P = 0.002 and HR,0.75; 95% CI, 0.65–0.87; P &lt; 0.001), respectively. Additionally, beverage consumption was not associated with cardiovascular disease in T2DM patients (HR,1.03; 95% Cl, 0.82–1.30, P &gt; 0.05). Conclusions High consumption of SSBs led to a higher risk and mortality of T2DM, while high consumption of coffee or tea showed significant associations with a lower risk of the incidence and mortality of T2DM.

The Association Between the Triglyceride to High-Density Lipoprotein Cholesterol Ratio and the Incidence of Type 2 Diabetes Mellitus in the Japanese Population.

Abstract Aims: To explore whether the triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C) was independently associated with the risk of incident type 2 diabetes mellitus (T2DM) in a large Japanese cohort. Methods: A secondary analysis was performed using open-access data from a retrospective cohort study. A total of 12,716 eligible participants who had standard medical examinations at the Murakami Memorial Hospital were included in this study. New-onset T2DM was the main outcome during follow-up. The risk of T2DM based on the TG/HDL-C ratio was evaluated using Cox regression analysis and Kaplan-Meier analysis. Subgroup analysis was performed to understand further the significance of the TG/HDL-C ratio in particular populations. To assess the potential of the TG/HDL-C ratio for predicting T2DM, a receiver operating characteristic (ROC) analysis was performed. Results: One hundred fifty new-onset T2DM cases were observed during a median follow-up of 5.39 years. The incidence of T2DM increased with a rise in the TG/HDL-C ratio based on the Kaplan-Meier curves (P < 0.0001). After controlling for potential confounding variables, the TG/HDL-C ratio was positively related to incidence of T2DM (hazard ratio = 1.08, 95% confidence interval: 1.01-1.15, P = 0.0239). In subgroup analysis, those with a body mass index of ≥18.5 and <24 kg/m2 showed a significantly positive relationship. The area under the ROC curve for the TG/HDL-C ratio as a T2DM predictor was 0.684. The optimal TG/HDL-C ratio cutoff value for T2DM was 1.609, with a sensitivity of 54.7% and a specificity of 73.6%. Conclusion: The authors' results showed a significant relationship between the TG/HDL-C ratio and the incidence of T2DM in the Japanese population.

Non-linear associations of atherogenic index of plasma with prediabetes and type 2 diabetes mellitus among Chinese adults aged 45 years and above: a cross-sectional study from CHARLS.

Dyslipidemia is strongly associated with the development of prediabetes and type 2 diabetes mellitus (T2DM). The atherogenic index of plasma (AIP), as a comprehensive index for assessing lipid metabolism, has received extensive attention from researchers in recent years. However, there are relatively few studies exploring the relationships between AIP and the risk of prediabetes and T2DM in the Chinese population. This study focuses on exploring the relationships of AIP with the risk of prediabetes and T2DM in the Chinese population. We conducted an analysis of the public data from the China Health and Retirement Longitudinal Study (CHARLS), involving a total of 12,060 participants aged 45 years and above in China. The study explored the relationships of AIP with prediabetes and T2DM risk through multivariate logistic regression, subgroup analysis, smooth curve fitting, and threshold effect analysis. After adjusting for potential confounding factors, we observed positive associations between AIP and the risk of prediabetes [odds ratio (OR) = 1.75, 95% confidence interval (CI): 1.49-2.06] and T2DM (OR = 2.91, 95% CI: 2.38-3.57). Participants with higher AIP levels demonstrated a significantly elevated risk of prediabetes (OR = 1.52, 95% CI: 1.33-1.74) and T2DM (OR = 2.28, 95% CI: 1.92-2.71) compared to those with lower AIP levels. AIP showed consistent correlations with prediabetes and T2DM risk in different subgroups. The results showed the non-linear relationships between AIP and risk of prediabetes and T2DM, with inflection points at 0.29 and -0.04, respectively. When AIP > 0.29, there was a positive association between AIP and the risk of prediabetes (OR = 2.24, 95% CI: 1.67-3.00, p < 0.0001). Similarly, when AIP > -0.04, AIP was positively associated with the risk of T2DM (OR = 3.33, 95% CI: 2.67-4.16, p < 0.0001). This study demonstrated non-linear positive associations of AIP with the risk of prediabetes and T2DM among participants ≥ 45 years of age in China.

Chinese migrants exhibit impaired postprandial lipaemia compared to Caucasian counterparts following both high fat and high carbohydrate test meals.

People of Chinese ethnicity develop type 2 diabetes mellitus (T2DM) at a younger age and lower body mass index (BMI) than their Caucasian counterparts. Furthermore, Chinese migrants to Westernised countries have an increased risk of metabolic diseases compared to those in their country of origin(1,2). We propose that this increased risk is due to a greater manifestation of metabolic abnormalities in response to altered diet and lifestyle behaviours. Although fasting lipaemia and glycaemia are commonly used to predict risk of CVD and T2DM, assessment of impaired postprandial metabolism has been found to be a more sensitive indicator of risk(3). We hypothesised that Chinese migrants, at risk of T2DM, exhibit impaired postprandial lipid and lipoprotein metabolism compared to Australian-born Caucasian counterparts. Chinese and Caucasian adults at risk of T2DM were recruited to the study in which postprandial lipaemia and glycaemia were monitored following consumption of a high fat and high carbohydrate breakfast meal followed by a mixed, lunch meal. In a nonrandomised acute crossover trial, 15 adults (n = 8 Chinese and n = 7 Caucasian) aged ≥ 18 and ≤ 65 years at risk of T2DM (AUSDRISK score &gt; 12 (median = 14.0, IQR = 3.0)), attended two postprandial test days separated by ≥ 7-day washout period. Test breakfast meals were isocaloric (3.6 MJ), high fat (46% energy from fat, 46% energy from carbohydrates) or high carbohydrate (74% E carbohydrates, 17.5% E fat). Blood samples were collected at baseline (fasting), 180 min and 360 min after consumption of the breakfast meal. The lunch meal (3.7 MJ, 18% E fat, 76% E carbohydrates) was consumed 240 min after baseline. Samples were analysed for lipaemia and glycaemia. Additionally, chylomicron-rich, and VLDL-rich lipoprotein fractions were isolated by sequential ultracentrifugation and chylomicron particle number (apolipoprotein (apo) B48), triacylglycerol (TAG), and total cholesterol were assessed in these fractions. Data were analysed using a mixed between-within-subject analysis of variance. There were no differences in age, and baseline anthropometric measures between groups, apart from the Chinese group exhibiting significantly lower waist circumference and BMI compared to the Caucasian group. There were no differences between groups in blood measures, apart from a higher total- and LDL-cholesterol concentration in the Caucasian compared to the Chinese group (P&lt;0.05). Despite identical fasting TAG concentrations, the Chinese group, compared with the Caucasian group exhibited significantly elevated serum TAG and chylomicron-apo-B48 concentrations at 360 min following both test meals (P&lt;0.01). All other postprandial measures were not different between groups. These findings show that despite having identical or improved fasting glycaemia and lipid profile, the Chinese group exhibited impaired postprandial lipid metabolism which may contributes to their increased risk of metabolic diseases.