Progress in genetics of type 2 diabetes and diabetic complications

A positive correlation of serum SFRP1 levels with the risk of developing type 2 diabetes mellitus: a case-control study

OBJECTIVE

Secreted frizzled-related protein 1 (SFRP1) is an adipokine whose production is significantly altered in metabolic disorders. Considering the relationship between dysfunction of Wnt/β-catenin signaling and metabolic disorders as well as the inhibitory effects of SFRP1 on this signaling pathway, the present work aimed to investigate the correlation between serum SFRP1 levels and type 2 diabetes mellitus (T2DM) and its developing risk factors for the first time.

METHODS

This case-control study measured serum levels of SFRP1, tumor necrosis factor (TNF)-α, interleukin (IL)-6, adiponectin, and fasting insulin using enzyme-linked immunosorbent assay kits in 80 T2DM patients and 80 healthy individuals. Biochemical parameters were determined using the AutoAnalyzer instrument.

RESULTS

The T2DM group had higher levels of SFRP1 compared with the controls (146.8100 ± 43.61416 vs 81.9531 ± 32.78545 pg/mL; P < .001). There was a positive correlation between SFRP1 and insulin (r = 0.327, P = .003), TNF-α (r = 0.420, P < .001) as well as homeostatic model assessment for insulin resistance (r = 0.328, P = .003) in the T2DM group. In addition, 10-unit changes in SFRP1 levels showed the risk of T2DM in both the unadjusted (odds ratio [OR] [95% CI] = 1.564 [1.359-1.800]) and adjusted models accounting for age, gender, and body mass index (OR [95% CI] = 1.564 [1.361-1.799]; P < .001). A cut-off value of SFRP1 (105.83 pg/mL) was identified to distinguish between the T2DM patients and the healthy subjects, with sensitivity of 75.0% and specificity of 80.0%.

CONCLUSION

According to our research, there was a significant and positive link between the amount of SFRP1 and the likelihood of developing T2DM as well as the related factors like insulin resistance index and TNF-α. These results indicated that SFRP1 might have a potential role in the development of T2DM.

AI-enhanced integration of genetic and medical imaging data for risk assessment of Type 2 diabetes

Type 2 diabetes (T2D) presents a formidable global health challenge, highlighted by its escalating prevalence, underscoring the critical need for precision health strategies and early detection initiatives. Leveraging artificial intelligence, particularly eXtreme Gradient Boosting (XGBoost), we devise robust risk assessment models for T2D. Drawing upon comprehensive genetic and medical imaging datasets from 68,911 individuals in the Taiwan Biobank, our models integrate Polygenic Risk Scores (PRS), Multi-image Risk Scores (MRS), and demographic variables, such as age, sex, and T2D family history. Here, we show that our model achieves an Area Under the Receiver Operating Curve (AUC) of 0.94, effectively identifying high-risk T2D subgroups. A streamlined model featuring eight key variables also maintains a high AUC of 0.939. This high accuracy for T2D risk assessment promises to catalyze early detection and preventive strategies. Moreover, we introduce an accessible online risk assessment tool for T2D, facilitating broader applicability and dissemination of our findings.

TEAD1, MYO7A and NDUFC2 are novel functional genes associated with glucose metabolism in BXD recombinant inbred population

AIM

The liver is an important metabolic organ that governs glucolipid metabolism, and its dysfunction may cause non-alcoholic fatty liver disease, type 2 diabetes mellitus, dyslipidaemia, etc. We aimed to systematic investigate the key factors related to hepatic glucose metabolism, which may be beneficial for understanding the underlying pathogenic mechanisms for obesity and diabetes mellitus.

MATERIALS AND METHODS

Oral glucose tolerance test (OGTT) phenotypes and liver transcriptomes of BXD mice under chow and high-fat diet conditions were collected from GeneNetwork. QTL mapping was conducted to pinpoint genomic regions associated with glucose homeostasis. Candidate genes were further nominated using a multi-criteria approach and validated to confirm their functional relevance in vitro.

RESULTS

Our results demonstrated that plasma glucose levels in OGTT were significantly affected by both diet and genetic background, with six genetic regulating loci were mapped on chromosomes 1, 4, and 7. Moreover, TEAD1, MYO7A and NDUFC2 were identified as the candidate genes. Functionally, siRNA-mediated TEAD1, MYO7A and NDUFC2 knockdown significantly decreased the glucose uptake and inhibited the transcription of genes related to insulin and glucose metabolism pathways.

CONCLUSIONS

Our study contributes novel insights to the understanding of hepatic glucose metabolism, demonstrating the impact of TEAD1, MYO7A and NDUFC2 on mitochondrial function in the liver and their regulatory role in maintaining in glucose homeostasis.

From stem cells to pancreatic β-cells: strategies, applications, and potential treatments for diabetes

Loss and functional failure of pancreatic β-cells results in disruption of glucose homeostasis and progression of diabetes. Although whole pancreas or pancreatic islet transplantation serves as a promising approach for β-cell replenishment and diabetes therapy, the severe scarcity of donor islets makes it unattainable for most diabetic patients. Stem cells, particularly induced pluripotent stem cells (iPSCs), are promising for the treatment of diabetes owing to their self-renewal capacity and ability to differentiate into functional β-cells. In this review, we first introduce the development of functional β-cells and their heterogeneity and then turn to highlight recent advances in the generation of β-cells from stem cells and their potential applications in disease modeling, drug discovery and clinical therapy. Finally, we have discussed the current challenges in developing stem cell-based therapeutic strategies for improving the treatment of diabetes. Although some significant technical hurdles remain, stem cells offer great hope for patients with diabetes and will certainly transform future clinical practice.

[Features of type 2 diabetes mellitus and its pharmacotherapy in outpatients]

BACKGROUND

Type 2 diabetes mellitus (DM) remains the most common type of DM and is associat-ed with disabling complications, reduced quality of life and reduced life expectancy. Satisfactory control of carbohydrate metabolism remains the key way to manage them.

AIM

To perform a retrospective analysis of carbohydrate metabolism (in terms of glycated hemoglobin - HbA1c), the prevalence of complications, and features of hypoglycemic and concomitant therapy in patients with type 2 DM.

MATERIALS AND METHODS

The analysis of sex and age characteristics, achieved level of HbA1c, diabetes complications, sugar-reducing and concomitant therapy according to the data of outpatient records of the patients who are on dispensary registration with an endocrinologist in the Endocrinology Department of the Consultative and Diagnostic Polyclinic of the Tomsk Regional Clinical Hospital in Tomsk was carried out.

RESULTS

546 outpatient medical records of patients with type 2 DM were analysed, among which there were 39.6% men (n=216) with a history of type 2 DM 8.0 years [3.0; 13.0] , median age 64.0 years [54.5; 71.0] and 60.4% women (n=330), history of type 2 DM 10.0 years [5.0; 15.0], median age 70.0 years [63.0; 75.0]. The achieved HbA1c level in men was 7.6% [6.3; 9.0] and in women 7.4% [6.4; 9.1]. 19.4% of men and 13.6% of women had an aggravated history of type 2 DM. According to the history, 6.5% of men (n=14) and 3% of women (n=10) with type 2 DM had a history of stroke, and myocardial infarction 12% (n=26) and 1.5% (n=5), respectively. Among the analysed outpatient records of type 2 DM patients, 18.5% of men (n=40) and 12.4% of women (n=41) were found to have diabetic nephropathy. Diabetic retinopathy was reported in 9.3% (n=20) of men and 4.2% (n=14) of women. Diabetic macroangiopathies were detected in 29.6% (n=64) of males and 9.7% (n=32) of females. Among other chronic complications of DM, diabetic neuroosteoarthropathy was recorded in 1% (n=2) of males and 3% (n=10) of females, diabetic polyneuropathy in 25% (n=54) and 21.5% (n=71), respectively. Diabetic foot was diagnosed in 1.9% (n=4) of men and 1.8% (n=6) of women. Among comorbid pathology, obesity was diagnosed in 45.4% (n=88) of men and 69.1% (n=228) of women, dyslipidaemia in 10.2% (n=22) and 10.6% (n=35) respectively, hypertension in 39.8% (n=86) and 32.6% (n=108) of cases. The diagnosis of non-alcoholic fatty liver disease was verified in 3.7% of men (n=7) and 1.8% of women (n=6), chronic heart failure in 7.4% of men (n=16) and 2.4% of women (n=8) registered for type 2 DM. According to the analysed outpatient records, 4.1% (n=23) of patients received diet therapy, 48.3% (n=263) received monotherapy and 47.6% (n=260) received combination therapy for type 2 DM. Metformin was the most commonly used monotherapy for type 2 DM 36.1% (n=197), followed by insulin 6.9% (n=38), sulfonylurea derivatives - 2.7% (n=15). Combination of metformin and dipeptidyl peptidase-4 inhibitors (13.9%) was the most commonly used combination therapy.

CONCLUSION

Analysis of the current situation in the diabetology service will help to identify weaknesses and strengths, which is necessary to optimise existing therapeutic approaches in accordance with current clinical recommendations.

Pancreatic β-cell failure, clinical implications, and therapeutic strategies in type 2 diabetes

ABSTRACT

Pancreatic β-cell failure due to a reduction in function and mass has been defined as a primary contributor to the progression of type 2 diabetes (T2D). Reserving insulin-producing β-cells and hence restoring insulin production are gaining attention in translational diabetes research, and β-cell replenishment has been the main focus for diabetes treatment. Significant findings in β-cell proliferation, transdifferentiation, pluripotent stem cell differentiation, and associated small molecules have served as promising strategies to regenerate β-cells. In this review, we summarize current knowledge on the mechanisms implicated in β-cell dynamic processes under physiological and diabetic conditions, in which genetic factors, age-related alterations, metabolic stresses, and compromised identity are critical factors contributing to β-cell failure in T2D. The article also focuses on recent advances in therapeutic strategies for diabetes treatment by promoting β-cell proliferation, inducing non-β-cell transdifferentiation, and reprograming stem cell differentiation. Although a significant challenge remains for each of these strategies, the recognition of the mechanisms responsible for β-cell development and mature endocrine cell plasticity and remarkable advances in the generation of exogenous β-cells from stem cells and single-cell studies pave the way for developing potential approaches to cure diabetes.

Improvement of liraglutide release from PLGA microspheres by a porous microsphere-gel composite system

In the current work, we aimed to prepare a liraglutide-loaded porous microsphere-gel composite system. By employing polyethylene glycol (PEG) as a porogenic agent and poly (lactic-co-glycolic acid) copolymer (PLGA) as a carrier, the liraglutide microspheres were prepared and dispersed in a temperature-sensitive gel made of poloxamer 407 (F-127) and poloxamer 188 (F-68), which served as the gel matrix, to construct the composite system. The porous microsphere-gel composite system demonstrated prolonged and steady drug release, with a reduction to 4.7% in the initial release within 1 d, according to data from in vitro release tests. The drug release from the porous microspheres decreased from 53% to 29% during the rapid release phase as the PEG concentration increased and the release rate slowed down. In vivo experiments in rats revealed that the composite system prolonged the release period by about 10 d. The pharmacokinetic parameter AUC0-1 was decreased by 24.78 ng/ml*h, the initial burst release was decreased, and the blood drug concentration fluctuation was lessened. The construction of a porous microsphere-gel composite matrix offers a novel approach to the systems with a sustained, long-lasting release that utilizes rational design.

Differences in gut microbiota between Dutch and South-Asian Surinamese: potential implications for type 2 diabetes mellitus

Gut microbiota, or the collection of diverse microorganisms in a specific ecological niche, are known to significantly impact human health. Decreased gut microbiota production of short-chain fatty acids (SCFAs) has been implicated in type 2 diabetes mellitus (T2DM) disease progression. Most microbiome studies focus on ethnic majorities. This study aims to understand how the microbiome differs between an ethnic majority (the Dutch) and minority (the South-Asian Surinamese (SAS)) group with a lower and higher prevalence of T2DM, respectively. Microbiome data from the Healthy Life in an Urban Setting (HELIUS) cohort were used. Two age- and gender-matched groups were compared: the Dutch (n = 41) and SAS (n = 43). Microbial community compositions were generated via DADA2. Metrics of microbial diversity and similarity between groups were computed. Biomarker analyses were performed to determine discriminating taxa. Bacterial co-occurrence networks were constructed to examine ecological patterns. A tight microbiota cluster was observed in the Dutch women, which overlapped with some of the SAS microbiota. The Dutch gut contained a more interconnected microbial ecology, whereas the SAS network was dispersed, i.e., contained fewer inter-taxonomic correlational relationships. Bacteroides caccae, Butyricicoccus, Alistipes putredinis, Coprococcus comes, Odoribacter splanchnicus, and Lachnospira were enriched in the Dutch gut. Haemophilus, Bifidobacterium, and Anaerostipes hadrus discriminated the SAS gut. All but Lachnospira and certain strains of Haemophilus are known to produce SCFAs. The Dutch gut microbiome was distinguished from the SAS by diverse, differentially abundant SCFA-producing taxa with significant cooperation. The dynamic ecology observed in the Dutch was not detected in the SAS. Among several potential gut microbial biomarkers, Haemophilus parainfluenzae likely best characterizes the ethnic minority group, which is more predisposed to T2DM. The higher prevalence of T2DM in the SAS may be associated with the gut dysbiosis observed.

Toll-like Receptor 9 Gene in the Development of Type 2 Diabetes Mellitus in the Saudi Arabian Population

Diabetes mellitus is a complex disease with a wide range of manifestations. Diabetes, notably type 2 diabetes mellitus (T2DM), is becoming more common in Saudi Arabia as a result of obesity and an aging population. T2DM is classified as a noncommunicable disease, and its incidence in the Saudi population continues to grow as a consequence of socioeconomic changes. Toll-like receptors (TLRs) are innate immune receptors that mediate the inflammatory response in diabetes mellitus. Previous studies have documented the relationship between different SNPs in the TLR9 gene in different forms of diabetes. As a result, the purpose of this study was to investigate the relationship between rs187084, rs352140, and rs5743836 SNPs in the TLR9 gene among T2DM patients in the Saudi population. This was a case-control study that included 100 T2DM cases and 100 control subjects. The three SNPs were identified in the study population (n = 200) using polymerase chain reaction (PCR), restriction enzymes for rs352140, and Sanger sequencing for rs187084 and rs5783836. Next, statistical analyses were performed using various software to determine the association between the SNPs and T2DM. rs187084 and rs5743836 were associated with an increased risk of T2DM development. rs187084 and rs5743836 allelic frequencies were associated with a 3.2 times increased risk of T2DM development (p < 0.05). DBP was associated with T2DM (p = 0.02). rs187084 was associated with TC and HDLc; rs352140 was associated with DBP, HbA1c, and HDLc; rs5743836 was associated with waist (p < 0.05). The CGT haplotype was strongly associated with T2DM (p < 0.003). Gene-gene interaction, graphical presentation, and dendrogram showed the strong association with T2DM patients (p < 0.05). This study concluded that rs187084 and rs5743836 were strongly associated with T2DM in Saudi Arabian patients. This study provides further evidence that SNPs in the TLR9 gene play a significant role in T2DM development in a Saudi community.

SGLT2 Inhibitors in the Treatment of Diabetic Kidney Disease: More than Just Glucose Regulation

Diabetic kidney disease (DKD) is a severe and common complication and affects a quarter of patients with type 2 diabetes mellitus (T2DM). Oxidative stress and inflammation related to hyperglycemia are interlinked and contribute to the occurrence of DKD. It was shown that sodium-glucose cotransporter-2 (SGLT2) inhibitors, a novel yet already widely used therapy, may prevent the development of DKD and alter its natural progression. SGLT2 inhibitors induce systemic and glomerular hemodynamic changes, provide metabolic advantages, and reduce inflammatory and oxidative stress pathways. In T2DM patients, regardless of cardiovascular diseases, SGLT2 inhibitors may reduce albuminuria, progression of DKD, and doubling of serum creatinine levels, thus lowering the need for kidney replacement therapy by over 40%. The molecular mechanisms behind these beneficial effects of SGLT2 inhibitors extend beyond their glucose-lowering effects. The emerging studies are trying to explain these mechanisms at the genetic, epigenetic, transcriptomic, and proteomic levels.