Efficient and Effective Diabetes Care in the Era of Digitalization and Hypercompetitive Research Culture: A Focused Review in the Western Pacific Region with Malaysia as a Case Study

There are approximately 220 million (about 12% regional prevalence) adults living with diabetes mellitus (DM) with its related complications, and morbidity knowingly or unconsciously in the Western Pacific Region (WP). The estimated healthcare cost in the WP and Malaysia was 240 billion USD and 1.0 billion USD in 2021 and 2017, respectively, with unmeasurable suffering and loss of health quality and economic productivity. This urgently calls for nothing less than concerted and preventive efforts from all stakeholders to invest in transforming healthcare professionals and reforming the healthcare system that prioritizes primary medical care setting, empowering allied health professionals, improvising health organization for the healthcare providers, improving health facilities and non-medical support for the people with DM. This article alludes to challenges in optimal diabetes care and proposes evidence-based initiatives over a 5-year period in a detailed roadmap to bring about dynamic and efficient healthcare services that are effective in managing people with DM using Malaysia as a case study for reference of other countries with similar backgrounds and issues. This includes a scanning on the landscape of clinical research in DM, dimensions and spectrum of research misconducts, possible common biases along the whole research process, key preventive strategies, implementation and limitations toward high-quality research. Lastly, digital medicine and how artificial intelligence could contribute to diabetes care and open science practices in research are also discussed.

Factors determining first influenza vaccination among individuals with type 2 diabetes in the CONSTANCES cohort by age group (younger than 65 years or 65 and older)

Vaccine coverage against influenza is suboptimal among people with diabetes. Our principal objective was to study and compare the factors related to a first influenza vaccination in individuals with type 2 diabetes according to age group (<65 years and ≥ 65 years) and then to compare the older age group with diabetes to the general population of that age. This is a descriptive cross-sectional study within the French Constances cohort. The study populations were composed of people with type 2 diabetes and individuals without diabetes 65 years and older. Our variable of interest was the first reimbursement for a vaccine against influenza over the period from 2009 to 2019. We identified 2540 cohort members with type 2 diabetes (<65 years n = 1583; ≥65 years n = 957). The population without diabetes (≥65 years) comprised 18,364 individuals. The factors related to the first influenza vaccination differed significantly between the persons with diabetes younger than 65 years and those aged at least 65 years: age (OR = 1.01/OR = 0.89-P-interaction<0.001), poor perceived health (OR = 1.24/OR = 0.79-P-interaction = 0.048), and indicators of diabetes treatment quality [at least 2 hbA1c assays/year (OR = 1.91/0 R = 0.90-P-interaction<0.001), and blood pressure < 140/90 (OR = 1.24/OR = 0.90-P-interaction = 0.059)]. The only factor related to first influenza vaccination significantly different between individuals aged at least 65 years with and without diabetes was age (OR = 0.83/OR = 1.05-P-interaction<0.001). This study shows that trials are now needed to test the effectiveness of age- and sex-specific messages to increase influenza vaccination coverage among people with diabetes.

Maternal and neonatal outcomes with different screening strategies for gestational diabetes mellitus: a retrospective cohort study

OBJECTIVE

To evaluate the effect of an expanded gestational diabetes mellitus (GDM) screening strategy on perinatal outcomes.

METHODS

This retrospective cohort study included gravidas screened for GDM at a single academic center. The "before" cohort (estimated due dates (EDD) March 2018-April 2019) was screened using the standard 2-step method. The "after" cohort (EDD November 2019-July 2023) was screened using an expanded strategy that included the potential for GDM diagnosis based on 1-2 weeks of home glucose monitoring following isolated fasting hyperglycemia on the 3-hour glucose tolerance test (GTT). The primary outcomes were primary cesarean delivery (PCD) and neonatal intensive care unit (NICU) admission. Binomial regression and Kruskal Wallis tests were used to compare perinatal outcomes between the two cohorts in the general population and in a subgroup of those with isolated fasting hyperglycemia.

RESULTS

Outcomes for the "before" cohort (n = 1,733) were compared with those in the "after" cohort (n = 6,280). In the general population, A2GDM incidence increased after expansion of the screening protocol (4.8% vs. 6.4%, RR 1.34, 95% CI 1.07-1.69), but PCD and NICU admission rates were unchanged. In the subgroup of patients with isolated fasting hyperglycemia (n = 233), there was a significant increase in the incidence of any GDM (12.5 vs. 46.0%, RR 3.68, 95% CI 1.95-6.93) and A2GDM (8.3% vs. 37.3%, RR 4.47, 95% CI 2.03-9.87). There was no difference in PCD between cohorts, but NICU admission increased significantly in the "after" cohort (8.3% vs 22.4%, RR 2.68, 95% CI 1.18-6.08) in this subgroup.

CONCLUSION

An expanded approach to GDM diagnosis using home blood glucose monitoring following isolated fasting hyperglycemia on 3-hour GTT was associated with increased A2GDM incidence but no improvements in primary maternal or neonatal outcomes. In the absence of clinical benefit, we do not recommend widespread implementation of this expanded strategy.

Cost-effectiveness of prevention program for type 2 diabetes mellitus in high risk patients in the Republic of Srpska, Bosnia and Herzegovina

The Republic of Srpska (RS), as a part of the Western Balkans (WB) region, has a higher diabetes prevalence than the EU. This study aims to assess the cost-effectiveness of early treatment of high-risk patients with pre-diabetes and undiagnosed diabetes in our setting. We designed a Markov chain Monte Carlo (MCMC) model which reflects the current International Diabetes Federation (IDF) three-step plan for the prevention of T2DM in those at increased risk. The model captures the evolution of the disease in FINDRISC high-risk patients from normal glucose tolerance (NGT) to impaired fasting glucose (IFG) or impaired glucose tolerance (IGT) and then to T2DM and its complications. We developed two MCMC models, in order to follow the progression of the disease in high-risk cases, ie, when early treatment is undertaken or when it is not undertaken. The health costs and quality adjusted life years (QALY) were discounted at an annual rate of 3%. The key model parameters were varied in one-way and probabilistic sensitivity analysis. Early treatment resulted in increased life expectancy, postponement of the onset of diabetes and increased QALY for all patients. The discounted incremental cost-effectiveness-ratios (ICER) in NGT, IFG, IGT, and T2DM patients were -289.9, 9724.03, -1478.59 and 4084.67 €. In high-risk IGT patients, ICER was the most favorable, being both a cost saving and QALY gaining, with the consistent results confirmed by the sensitivity analysis. The results recommend the acceptance of a new health policy of identifying IGT patients with the use of FINDRISC questionnaire and plasma glucose measurements; providing them with a lifestyle change program; and implementing intensive diabetes treatment, as their disease progresses. Our results are especially significant for the Western Balkan countries, since this was the first cost-effectiveness study of T2DM prevention in this region.

Association of live microbes intake and risk of all-cause, cardiovascular disease, and cancer-related mortality in patients with chronic kidney disease

BACKGROUND

Chronic kidney disease (CKD) is a prevalent chronic, non-communicable disease. The long-term health effects of dietary live microbes, primarily probiotics, on CKD patients remain insufficiently understood. This study aims to investigate the association between dietary intake of live microbes and long-term health outcomes among individuals with CKD.

METHODS

Utilizing the National Health and Nutrition Examination Survey (NHANES) database, Cox regression analysis assessed the association between medium and high categories dietary live microbe intake and health outcomes (all-cause, cardiovascular disease [CVD], and cancer-related mortality) in CKD patients.

RESULTS

A total of 3,646 CKD patients were enrolled. During the follow-up period, 1,593 all-cause mortality events were recorded, including 478 CVD deaths and 268 cancer deaths. In the fully adjusted model, compared to CKD patients in the lowest quartile (quartile 1) of live microbes intake, those in quartiles 3 and 4 exhibited a 20% and 26% reduced risk of all-cause mortality, with hazard ratios (HR) of 0.80 (95% confidence interval, CI: 0.69, 0.94) and 0.74 (95% CI: 0.62, 0.90), respectively. Additionally, compared to those with low live microbe intake (quartile 1), higher live microbe intake in quartile 4 was associated with a 37% reduction in the risk of CVD mortality for CKD patients, with an HR of 0.63 (95% CI: 0.45, 0.88). Consistent results were observed in subgroup and sensitivity analyses. A significant negative association was observed between live microbe intake and the risk of all-cause mortality as well as CVD mortality in the CKD population, with a p-value for trend < 0.05.

CONCLUSION

Our study indicated that high dietary live microbe intake could mitigate the risk of all-cause and CVD mortality in CKD patients. These findings support the inclusion of live microbes in dietary recommendations, highlighting their significant roles in CKD.

Nailfold capillary abnormalities as indicators of diabetic nephropathy progression: a cross-sectional study in type 2 diabetes

BACKGROUND

Type 2 diabetes mellitus (DM) leads to chronic hyperglycemia and microvascular complications, including diabetic nephropathy (DN). Nailfold videocapillaroscopy (NVC) is a non-invasive method for assessing the microvascular abnormalities and may aid in early DN detection. This study investigates the correlation between DN and nailfold capillary abnormalities in type 2 DM.

METHODS

This prospective cross-sectional study involved 453 participants with type 2 DM, divided into 3 groups based on estimated glomerular filtration rate (eGFR) or albumin-to-creatinine (A/C) ratio. Chronic kidney disease (CKD) risk categories based on the 2012 Kidney Disease Improving Global Outcomes (KDIGO) guidelines. Participants underwent structured interviews, clinical assessments, and laboratory tests. NVC was performed to assess capillary morphology, distribution, density, and blood flow.

RESULTS

Significant differences in NVC measurements were observed across eGFR groups, with higher NVC scores and more severe capillary abnormalities noted in lower eGFR groups. The 'comma-like' capillary distribution pattern (23.08%, p = 0.016), more ratio of ramified capillaries (p = 0.0137) were observed in the eGFR <30 ml/min/1.73m2 group. Reduced fundus transparency (p = 0.0015) and impaired visibility of the sub-venous plexus (p = 0.0016) were noted in the lower eGFR groups. Capillary lengths, both input and mean, were shorter in the A/C ratio > 300 mg/g group (p = 0.0382 and p = 0.0478, respectively). The NVC score was higher in the A/C ratio > 300 mg/g groups (p = 0.0028).

CONCLUSION

Nailfold capillary abnormalities correlate with DN severity, indicating their potential as a non-invasive biomarker for early DN detection and monitoring in type 2 DM.

Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss

Recent sets of evidence have described profiles of 16S rDNA sequences in host tissues, notably in fat pads that are significantly overrepresented and can serve as signatures of metabolic disease. However, these recent and original observations need to be further detailed and functionally defined. Here, using state-of-the-art targeted DNA sequencing and discriminant predictive approaches, we describe, from the longitudinal FLORINASH cohort of patients who underwent bariatric surgery, visceral, and subcutaneous fat pad-specific bacterial 16SrRNA signatures. The corresponding Porphyromonadaceae, Campylobacteraceae, Prevotellaceae, Actimomycetaceae, Veillonellaceae, Anaerivoracaceae, Fusobacteriaceae, and the Clostridium family XI 16SrRNA DNA segment profiles are signatures of the subcutaneous adipose depot while Pseudomonadaceae and Micrococcacecae, 16SrRNA DNA sequence profiles characterize the visceral adipose depot. In addition, we have further identified that a specific pre-bariatric surgery adipose tissue bacterial DNA signature predicts the efficacy of body weight loss in obese patients 5-10 years after the surgery. 16SrRNA signatures discriminate (ROC ~ 1) the patients who did not maintain bodyweight loss and those who did. Second, from the 16SrRNA sequences we infer potential pathways suggestive of catabolic biochemical activities that could be signatures of subcutaneous adipose depots that predict body weight loss.

Bioengineering and omics approaches for Type 1 diabetes practical research: advancements and constraints

Insulin dependency arises from autoimmunity that targets the β cells of the pancreas, resulting in Type 1 diabetes (T1D). Despite the fact that T1D patients require insulin for survival, insulin does not provide a cure for this disease or prevent its complications. Despite extensive genetic, molecular, and cellular research on T1D over the years, the translation of this understanding into effective clinical therapies continues to pose a significant obstacle. It is therefore difficult to develop effective clinical treatment strategies without a thorough understanding of disease pathophysiology. Pancreatic tissue bioengineering models of human T1D offer a valuable approach to examining and controlling islet function while tackling various facets of the condition. And in recent years, due to advances in high-throughput omics analysis, the genotypic and molecular profiles of T1D have become finer tuned. The present article will examine recent progress in these areas, along with their utilization and constraints in the realm of T1D.

Gut dysbiosis was inevitable, but tolerance was not: temporal responses of the murine microbiota that maintain its capacity for butyrate production correlate with sustained antinociception to chronic morphine

The therapeutic benefits of opioids are compromised by the development of analgesic tolerance, which necessitates higher dosing for pain management thereby increasing the liability for drug dependence and addiction. Rodent models indicate opposing roles of the gut microbiota in tolerance: morphine-induced gut dysbiosis exacerbates tolerance, whereas probiotics ameliorate tolerance. Not all individuals develop tolerance, which could be influenced by differences in microbiota, and yet no study design has capitalized upon this natural variation. We leveraged natural behavioral variation in a murine model of voluntary oral morphine self-administration to elucidate the mechanisms by which microbiota influences tolerance. Although all mice shared similar morphine-driven microbiota changes that largely masked informative associations with variability in tolerance, our high-resolution temporal analyses revealed a divergence in the progression of dysbiosis that best explained sustained antinociception. Mice that did not develop tolerance maintained a higher capacity for production of the short-chain fatty acid (SCFA) butyrate known to bolster intestinal barriers and promote neuronal homeostasis. Both fecal microbial transplantation (FMT) from donor mice that did not develop tolerance and dietary butyrate supplementation significantly reduced the development of tolerance independently of suppression of systemic inflammation. These findings could inform immediate therapies to extend the analgesic efficacy of opioids.

Lactate metabolism and lactylation in kidney diseases: insights into mechanisms and therapeutic opportunities

The kidney is essential for lactate metabolism. Under normal conditions, the renal cortex mainly absorbs and metabolizes lactate, with minimal amounts excreted in urine. This process is part of a glucose-lactate recycling system between the cortex and medulla. In conditions such as acute kidney injury (AKI) and diabetic kidney disease (DKD), the kidney's ability to metabolize lactate is impaired, leading to lactate accumulation and exacerbated renal dysfunction. Novel post-translational modifications, such as lactylation, are critical in kidney disease pathophysiology by modulating gene transcription, protein function, and cellular metabolism. Lactylation is involved in inflammatory responses and tumor promotion in AKI, mitochondrial dysfunction in DKD, and tumor progression in clear cell renal cell carcinoma (ccRCC). The lactate-lactylation axis is central to the Warburg effect in ccRCC, where tumor cells preferentially rely on glycolysis rather than oxidative phosphorylation. Understanding the mechanisms of lactate metabolism and lactylation in kidney diseases may offer new therapeutic strategies. This review examines the role of lactate esters, especially lactylation, in kidney diseases, with a focus on their regulatory mechanisms and potential as therapeutic targets.

Mediated roles of oxidative stress and kidney function to leukocyte telomere length and prognosis in chronic kidney disease

BACKGROUND

Few studies have focused on the correlation between leukocyte telomere length (LTL) and cancer-related mortality or identified potential factors that mediate the relationship between LTL and mortality among chronic kidney disease (CKD) patients. Our study aimed to explore the associations between LTL and all-cause and cause-specific mortality and to identify the underlying mediators.

METHODS

CKD patients were obtained from the National Health and Nutrition Examination Survey (NHANES) 1999-2002. Cox regression analysis and restricted cubic spline analysis were used to explore the associations between LTL and all-cause or specific-cause mortality and their nonlinear connections. Stratified analyses were executed to assess the relationships among the different subgroups. The latent mediated factors were confirmed using mediation analysis. Sensitivity analyses were used to evaluate the robustness of our findings.

RESULTS

Longer LTL associated with the lower risk of all-cause mortality, cardiovascular disease (CVD) and cancer-related mortality, and U-shaped relationships were detected. Patients younger than 65 years with greater LTL or who had hypertension had better prognoses. Age and history of hypertension were associated with LTL and overall mortality. In addition, estimated glomerular filtration rate (eGFR), albumin, and total bilirubin mediated the association, and the proportions of indirect effects were 7.81%, 3.77%, and 2.50%, respectively. Six sensitivity analyses confirmed the robustness of our findings.

CONCLUSIONS

This study revealed that LTL was a protective factor for survival among patients with CKD and emphasized the mediating roles of oxidative stress and kidney function.

Interkingdom signaling between gastrointestinal hormones and the gut microbiome

The interplay between the gut microbiota and gastrointestinal hormones plays a pivotal role in the health of the host and the development of diseases. As a vital component of the intestinal microecosystem, the gut microbiota influences the synthesis and release of many gastrointestinal hormones through mechanisms such as modulating the intestinal environment, producing metabolites, impacting mucosal barriers, generating immune and inflammatory responses, and releasing neurotransmitters. Conversely, gastrointestinal hormones exert feedback regulation on the gut microbiota by modulating the intestinal environment, nutrient absorption and utilization, and the bacterial biological behavior and composition. The distributions of the gut microbiota and gastrointestinal hormones are anatomically intertwined, and close interactions between the gut microbiota and gastrointestinal hormones are crucial for maintaining gastrointestinal homeostasis. Interventions leveraging the interplay between the gut microbiota and gastrointestinal hormones have been employed in the clinical management of metabolic diseases and inflammatory bowel diseases, such as bariatric surgery and fecal microbiota transplantation, offering promising targets for the treatment of dysbiosis-related diseases.

Systematically-designed mixtures outperform single fibers for gut microbiota support

Dietary fiber interventions to modulate the gut microbiota have largely relied on isolated fibers or specific fiber sources. We hypothesized that fibers systematically blended could promote more health-related bacterial groups. Initially, pooled in vitro fecal fermentations were used to design dietary fiber mixtures to support complementary microbial groups related to health. Then, microbial responses were compared for the designed mixtures versus their single fiber components in vitro using fecal samples from a separate cohort of 10 healthy adults. The designed fiber mixtures outperformed individual fibers in supporting bacterial taxa across donors resulting in superior alpha diversity and unexpected higher SCFA production. Moreover, unique shifts in community structure and specific taxa were observed for fiber mixtures that were not observed for single fibers, suggesting a synergistic effect when certain fibers are put together. Fiber mixture responses were remarkably more consistent than individual fibers across donors in promoting several taxa, especially butyrate producers from the Clostridium cluster XIVa. This is the first demonstration of synergistic fiber interactions for superior support of a diverse group of important beneficial microbes consistent across people, and unexpectedly high SCFA production. Overall, harnessing the synergistic potential of designed fiber mixtures represents a promising and more efficacious avenue for future prebiotic development.

Sleep features and the risk of type 2 diabetes mellitus: a systematic review and meta-analysis

OBJECTIVE

This study aimed to assess the associations between multidimensional sleep features and type 2 diabetes mellitus (T2DM).

METHODS

We conducted a systematic search across the PubMed, Embase, Web of Science, and Scopus databases for observational studies examining the association between nighttime sleep duration, nighttime sleep quality, sleep chronotype, and daytime napping with type 2 diabetes mellitus (T2DM), up to October 1, 2024. If I2 < 50%, a combined analysis was performed based on a fixed-effects model, and vice versa, using a random-effects model.

RESULTS

Our analysis revealed that a nighttime sleep duration of less than 7 h (odds ratio [OR] = 1.18; 95% CI = 1.13, 1.23) or more than 8 h (OR = 1.13; 95% CI = 1.09, 1.18) significantly increased the risk of T2DM. Additionally, poor sleep quality (OR = 1.50; 95% CI = 1.30, 1.72) and evening chronotype (OR = 1.59; 95% CI = 1.18, 2.13) were associated with a notably greater risk of developing T2DM. Daytime napping lasting more than 30 min augments the risk of T2DM by 7-20%. Interactively, the incidence of T2DM was most significantly elevated among individuals with poor sleep quality and nighttime sleep duration of more than 8 h (OR = 2.15; 95% CI = 1.19, 3.91).

CONCLUSIONS

A U-shaped relationship was observed between sleep duration and type 2 diabetes mellitus (T2DM), with the lowest risk occurring at a sleep duration of 7 to 8 h. Additionally, poor sleep quality, evening chronotypes, and daytime napping exceeding 30 min emerged as potential risk factors for T2DM. These high-risk sleep characteristics interacted with one another, amplifying the overall risk of developing the disease.

Effect of amniotic fluid on hair follicle growth

Purpose: Human amniotic fluid stem cells (hAFSCs) have shown significant regenerative potential in treating hair loss, wound healing, and tissue repair. This study aims to evaluate the effects of human amniotic fluid (hAF) on hair follicle (HF) regeneration and immune system modulation.

Materials and Methods: The hAF used was pooled, acellular, and gamma-irradiated to standardize its contents and enhance its stability. Both irradiated (FAFI) and non-irradiated (FAF) hAF were assessed for their efficacy and safety in promoting hair growth and modulating immune responses in a rat model of hair loss. The study examined HF regeneration, transition to the anagen phase, and macrophage polarization from the pro-inflammatory M1 phenotype to the anti-inflammatory M2 phenotype.

Results: Both FAF and FAFI treatments significantly increased HF density, with FAFI exhibiting enhanced effects. Histological analysis demonstrated improved HF regeneration, increased M2 macrophages, and reduced collagen fiber deposition in treated areas. Gamma irradiation likely improved the efficacy of FAFI by stabilizing active components and inhibiting protease activity.

Conclusions: Irradiated hAF is a safe and effective therapeutic candidate for alopecia and HF growth disorders. These findings support further evaluation of hAF in clinical trials to validate its potential for hair regeneration therapies.

Novel serum biomarkers for early diagnosis of gestational diabetes mellitus-a review

Gestational diabetes mellitus (GDM) affects 9-25% of pregnancies. Undiagnosed or poorly managed GDM is associated with both short- and long-term complications in the fetus and mother. The pathogenesis of GDM is complex and has not yet been fully elucidated. Several biomarkers found in maternal serum have the potential for the early diagnosis of GDM. The aim of this narrative review was to explore novel biomarkers that have not been comprehensively described in previous reviews. We believe these biomarkers may allow for the detection of GDM in the early stages of pregnancy, enabling timely proper treatment and potentially preventing complications for both the mother and the fetus.

Microbial succinate promotes the response to metformin by upregulating secretory immunoglobulin a in intestinal immunity

Metformin is the first-line pharmacotherapy for type 2 diabetes mellitus; however, many patients respond poorly to this drug in clinical practice. The potential involvement of microbiota-mediated intestinal immunity and related signals in metformin responsiveness has not been previously investigated. In this study, we successfully constructed a humanized mouse model by fecal transplantation of the gut microbiota from clinical metformin-treated - responders and non-responders, and reproduced the difference in clinical phenotypes of responsiveness to metformin. The abundance of Bacteroides thetaiotaomicron, considered a representative differential bacterium of metformin responsiveness, and the level of secretory immunoglobulin A (SIgA) in intestinal immunity increased significantly in responder recipient mice following metformin treatment. In contrast, no significant alterations in B. thetaiotaomicron and SIgA were observed in non-responder recipient mice. The study of IgA-/- mice confirmed that downregulated expression or deficiency of SIgA resulted in non-response to metformin, meaning that metformin was unable to improve dysfunctional glucose metabolism and reduce intestinal and adipose tissue inflammation, ultimately leading to systemic insulin resistance. Furthermore, supplementation with succinate, a microbial product of B. thetaiotaomicron, potentially reversed the non-response to metformin by inducing the production of SIgA. In conclusion, we demonstrated that upregulated SIgA, which could be regulated by succinate, was functionally involved in metformin response through its influence on immune cell-mediated inflammation and insulin resistance. Conversely, an inability to regulate SIgA may result in a lack of response to metformin.

Waist-to-hip ratio better reflect beta-cell function and predicts diabetes risk in adult with overweight or obesity

OBJECTIVE

Controversy remains as to which obesity measures better predict type 2 diabetes (T2D) risk in overweight or obese individuals. The objective of this study is to determine which commonly used obesity measures better reflect beta cell function and predict T2D risk in participants with overweight or obesity and to validate the findings using prospective cohort data.

PATIENTS AND METHODS

Cross-sectional data from the Obesity Clinic of the Xiangya Hospital of the Central South University and prospective cohort from UK Biobank. BMI, waist circumference (WC), waist-to-hip ratio (WHpR), and waist-to-height ratio (WHtR) were measured. Primary outcomes included beta cell function indices in the cross-sectional study and the occurrence of diabetes obtained from UK Biobank data.

RESULTS

One thousand four hundred and ninety-seven participants with overweight or obesity (median age 29 years, 41% males) and 322,023 UK Biobank participants without diabetes at baseline (mean age 56.83 years, 50.4% males) were studied. WHpR had a stronger association with beta cell function and central body fat distribution than the other three obesity measures irrespective of glucometabolic states. WHpR associated positively with diabetes risk in participants using the hazard ratio scale (HR per SD increase of WHpR, 2.311, 95% CI 2.250-2.374).

CONCLUSIONS

WHpR is a superior index in reflecting central body obesity, estimating beta cell function, and predicting T2D risk in people with overweight or obesity compared to BMI, WC, and WHtR.

Causal insights into major risk factors for diabetic kidney disease: a comprehensive meta-analysis and Mendelian randomization study

BACKGROUND

This study aims to identify major risk factors for diabetic kidney disease (DKD) and examine their causal relationships using meta-analysis and Mendelian randomization.

MATERIALS AND METHODS

This study reviewed diabetic nephropathy literature up to September 2024, evaluating quality with NOS, AMSTAR 2, and JBI. It analyzed heterogeneity using the Baujat plot and leave-one-out method, and conducted meta-analysis with fixed- or random-effects models based on I2. Publication bias was assessed with a funnel plot and Egger's test. Mendelian randomization using GWAS SNPs explored causal links through IVW, MR-Egger, weighted median, and weighted mode, while pleiotropy and heterogeneity were checked with the MR-Egger intercept and Cochran's Q.

RESULTS

Meta-analysis identified several significant risk factors for DKD, including hypertension (relative risk [RR] = 6.33), comorbidities (RR = 4.96), poor glycemic control (RR = 3.27), non-adherence to treatment (RR = 3.30), an unhealthy diet (RR = 5.96), physical inactivity (RR = 5.60), and hyperuricemia (RR = 5.24). MR analysis further confirmed a causal relationship between high carbohydrate intake (odds ratio [OR] = 1.393, p = 0.043) and increased DKD risk, while vegetable consumption (OR = 0.816, p = 0.011) was identified as a protective factor. These findings reinforce the critical role of dietary and lifestyle interventions in DKD prevention.

CONCLUSIONS

By integrating meta-analysis with Mendelian randomization, this study provides robust evidence linking modifiable risk factors, particularly dietary habits and lifestyle behaviors, to DKD development. The findings highlight the need for early preventive strategies targeting glycemic control, hypertension, and dietary modifications to mitigate DKD progression.

The role of endothelin receptor antagonists in kidney disease

Kidney diseases are among the most prevalent conditions worldwide, impacting over 850 million individuals. They are categorized into acute kidney injury and chronic kidney disease. Current preclinical and clinical trials have demonstrated that endothelin (ET) is linked to the onset and progression of kidney disease. In kidney diseases, pathological conditions such as hyperglycemia, acidosis, insulin resistance, and elevated angiotensin II levels lead to an increase in ET. This elevation activates endothelin receptor type A, resulting in harmful effects like proteinuria and a reduced glomerular filtration rate (GFR). Therefore, to slow the progression of kidney disease, endothelin receptor antagonists (ERAs) have been proposed as promising new therapies. Numerous studies have demonstrated the efficacy of ERAs in significantly reducing proteinuria and improving GFR, thereby slowing the progression of kidney diseases. This review discusses the mechanisms of action of ERAs in treating kidney disease, their efficacy and safety in preclinical and clinical studies, and explores future prospects for ERAs.

Faecal metaproteomics analysis reveals a high cardiovascular risk profile across healthy individuals and heart failure patients

The gut microbiota is a crucial link between diet and cardiovascular disease (CVD). Using fecal metaproteomics, a method that concurrently captures human gut and microbiome proteins, we determined the crosstalk between gut microbiome, diet, gut health, and CVD. Traditional CVD risk factors (age, BMI, sex, blood pressure) explained < 10% of the proteome variance. However, unsupervised human protein-based clustering analysis revealed two distinct CVD risk clusters (low-risk and high-risk) with different blood pressure (by 9 mmHg) and sex-dependent dietary potassium and fiber intake. In the human proteome, the low-risk group had lower angiotensin-converting enzymes, inflammatory proteins associated with neutrophil extracellular trap formation and auto-immune diseases. In the microbial proteome, the low-risk group had higher expression of phosphate acetyltransferase that produces SCFAs, particularly in fiber-fermenting bacteria. This model identified severity across phenotypes in heart failure patients and long-term risk of cardiovascular events in a large population-based cohort. These findings underscore multifactorial gut-to-host mechanisms that may underlie risk factors for CVD.

Study of glucose homeostasis in burnout cases using an oral glucose tolerance test

Burnout is caused by long term psychosocial stress and has, besides the fatigue and mental health burden, been associated with increased risk of adverse physical health, such as for example type 2 diabetes. This study aims to investigate the glucose and insulin levels in individuals with stress related burnout, by assessing these metabolic markers in response to a standard oral glucose tolerance test (OGTT). 38 cases with burnout (13 men and 25 women) and 35 healthy controls (13 men and 22 women) in the age 24-55 were included in the study. The burnout group overall did not differ from healthy controls in glucose or insulin levels during the OGTT. However, the burnout cases who reported more severe burnout symptoms exhibited significantly higher levels of both glucose and insulin levels during the OGTT compared to burnout cases reporting lower severity of symptoms. Furthermore, the group of burnout cases who reported symptoms of depression exhibited higher insulin levels during OGTT compared to the burnout cases without depressive symptoms. The observed higher levels in the burnout cases with most severe symptoms indicate an increased diabetic risk in these patients and it may be of importance to follow glucose and insulin levels in individuals with more severe symptoms of burnout i.e. to perform an OGTT.

Integrative analysis of mitochondrial and immune pathways in diabetic kidney disease: identification of AASS and CASP3 as key predictors and therapeutic targets

OBJECTIVES

Diabetic kidney disease (DKD) is driven by mitochondrial dysfunction and immune dysregulation, yet the mechanistic interplay remains poorly defined. This study aimed to identify key molecular networks linking mitochondrial and immune pathways to DKD progression, with a focus on uncovering biomarkers and therapeutic targets.

METHODS

We conducted an integrative analysis of human DKD cohorts (GSE30122, GSE96804) using weighted gene co-expression network analysis (WGCNA) to identify gene modules enriched for immune response genes and mitochondrial pathways (from MitoCarta3.0). Machine learning algorithms were employed to prioritize key biomarkers for further investigation. Experimental validation was performed using a DKD rat model.

RESULTS

WGCNA revealed significant gene modules associated with immune responses and mitochondrial functions. Machine learning analysis highlighted two central biomarkers: aminoadipate-semialdehyde synthase (AASS) and caspase-3 (CASP3). In the DKD rat model, elevated levels of AASS and CASP3 were found to correlate with increased oxidative stress. Mechanistically, AASS was shown to drive mitochondrial damage via lysine metabolism, while CASP3 amplified inflammatory apoptosis pathways.

CONCLUSIONS

Our findings establish AASS and CASP3 as dual biomarkers and therapeutic targets, bridging mitochondrial-immune crosstalk to DKD pathogenesis. This multi-omics framework provides actionable insights for targeting kidney damage in diabetes.

Post sleeve gastrectomy-enriched gut commensal Clostridia promotes secondary bile acid increase and weight loss

The gut microbiome is altered after bariatric surgery and is associated with weight loss. However, the commensal bacteria involved and the underlying mechanism remain to be determined. We performed shotgun metagenomic sequencing in obese subjects before and longitudinally after sleeve gastrectomy (SG), and found a significant enrichment in microbial species in Clostridia and bile acid metabolizing genes after SG treatment. Bile acid profiling further revealed decreased primary bile acids (PBAs) and increased conjugated secondary bile acids (C-SBAs) after SG. Specifically, glycodeoxycholic acid (GDCA) and taurodeoxycholic acid (TDCA) were increased at different follow-ups after SG, and were associated with the increased abundance of Clostridia and body weight reduction. Fecal microbiome transplantation with post-SG feces increased SBA levels, and alleviated body weight gain in the recipient mice. Furthermore, both Clostridia-enriched spore-forming bacteria and GDCA supplementation increased the expression of genes responsible for lipolysis and fatty acid oxidation in adipose tissue and reduced adiposity via Takeda G-protein-coupled receptor 5 (TGR5) signaling. Our findings reveal post-SG gut microbiome and C-SBAs as contributory to SG-induced weight loss, in part via TGR5 signaling, and suggest SBA-producing gut microbes as a potential therapeutic target for obesity intervention.

Roseburia hominis improves host metabolism in diet-induced obesity

Next-generation live biotherapeutics are promising to aid the treatment of obesity and metabolic diseases. Here, we reported a novel anti-obesity probiotic candidate, Roseburia hominis, that was depleted in stool samples of obese subjects compared with lean controls, and its abundance was negatively correlated with body mass index and serum triglycerides. Supplementation of R. hominis prevented body weight gain and disorders of glucose and lipid metabolism, prevented fatty liver, inhibited white adipose tissue expansion and brown adipose tissue whitening in mice fed with high-fat diet, and boosted the abundance of lean-related species. The effects of R. hominis could be partially attributed to the production of nicotinamide riboside and upregulation of the Sirtuin1/mTOR signaling pathway. These results indicated that R. hominis is a promising candidate for the development of next-generation live biotherapeutics for the prevention of obesity and metabolic diseases.

Effectiveness of inactivated influenza vaccine against laboratory-confirmed influenza in elderly Chinese patients with diabetes: A test-negative design case-control study

Vaccination coverage for influenza among diabetic populations remains suboptimal. Various factors contribute to this low vaccination rate, with a prominent issue being skepticism among potential vaccine recipients regarding vaccine effectiveness. We conducted a retrospective test-negative case-control study among diabetic patients aged 60 years and older in Ningbo, Zhejiang Province, China, spanning for four influenza seasons from 2018-19 to 2021-22. A total of 2,204 elderly patients were tested for influenza virus nucleic acid or antigen during the study period. After applying exclusion criteria, 199 influenza-positive cases and 199 matched influenza-negative controls were included in the final analysis. Vaccine effectiveness (VE) was estimated using an unconditional multiple logistic regression model, adjusted for age, gender, household registration and underlying health status. VE was calculated as (1-odds ratio(OR)) × 100%. Overall, the adjusted VE against laboratory-confirmed influenza from inactivated influenza vaccines over the study period was 59.4% (95%CI, 36.3% to 74.4%). VE varied across seasons, with the highest observed in the 2020-21 season and the lowest in the 2019-20 season. Importantly, repeated vaccination did not diminish vaccine effectiveness (OR = 1.2; 95% CI: 0.6 to 2.5). These findings provide a robust basis for recommending annual influenza vaccination among all elderly individuals with diabetes, absent any known contraindications.

Multifunctional dietary approach reduces intestinal inflammation in relation with changes in gut microbiota composition in subjects at cardiometabolic risk: the SINFONI project

The development of cardiometabolic (CM) diseases is associated with chronic low-grade inflammation, partly linked to alterations of the gut microbiota (GM) and reduced intestinal integrity. The SINFONI project investigates a multifunctional (MF) nutritional strategy's impact combining different bioactive compounds on inflammation, GM modulation and CM profile. In this randomized crossover-controlled study, 30 subjects at CM-risk consumed MF cereal-products, enriched with polyphenols, fibers, slowly-digestible starch, omega-3 fatty acids or Control cereal-products (without bioactive compounds) for 2 months. Metabolic endotoxemia (lipopolysaccharide (LPS), lipopolysaccharide-binding protein over soluble cluster of differentiation-14 (LBP/sCD14), systemic inflammation and cardiovascular risk markers, intestinal inflammation, CM profile and response to a one-week fructose supplementation, were assessed at fasting and post mixed-meal. GM composition and metabolomic analysis were conducted. Mixed linear models were employed, integrating time (pre/post), treatment (MF/control), and sequence/period. Compared to control, MF intervention reduced intestinal inflammation (fecal calprotectin, p = 0.007) and endotoxemia (fasting LPS, p < 0.05), without alteration of systemic inflammation. MF decreased serum branched-chain amino acids compared to control (p < 0.05) and increased B.ovatus, B.uniformis, A.butyriciproducens and unclassified Christensenellaceae.CAG-74 (p < 0.05). CM markers were unchanged. A 2-month dietary intervention combining multiple bioactive compounds improved intestinal inflammation and induced GM modulation. Such strategy appears as an effective strategy to target low-grade inflammation through multi-target approach.

Research progress and application prospects of animal models of group B Coxsackievirus infections

Group B Coxsackieviruses (CVBs) consist of six serotypes, CVB1 to CVB6, which can clinically affect the heart, brain, liver, pancreas and other organs, causing myocarditis, encephalitis, myelitis, pancreatitis, hand-foot-and-mouth disease (HFMD) and other diseases, and can even lead to death. CVBs are widespread globally and highly contagious. However, there are currently no approved CVB vaccines or effective treatments. The construction and optimization of animal models will aid in the in-depth understanding of CVB infections and its pathogenesis, providing essential tools for the exploration of vaccine development and antiviral therapies. This paper reviews the latest research progress and application prospects of CVB animal models.

Bioinformatics analysis identifies key secretory protein-encoding differentially expressed genes in adipose tissue of metabolic syndrome

The objective of this study was to identify key secretory protein-encoding differentially expressed genes (SP-DEGs) in adipose tissue in female metabolic syndrome, thus detecting potential targets in treatment. We examined gene expression profiles in 8 women with metabolic syndrome and 7 healthy, normal body weight women. A total of 143 SP-DEGs were screened, including 83 upregulated genes and 60 downregulated genes. GO analyses of these SP-DEGs included proteolysis, angiogenesis, positive regulation of endothelial cell proliferation, immune response, protein processing, positive regulation of neuroblast proliferation, cell adhesion and ER to Golgi vesicle-mediated transport. KEGG pathway analysis of the SP-DEGs were involved in the TGF-beta signalling pathway, cytokine‒cytokine receptor interactions, the hippo signalling pathway, Malaria. Two modules were identified from the PPI network, namely, Module 1 (DNMT1, KDM1A, NCoR1, and E2F1) and Module 2 (IL-7 R, IL-12A, and CSF3). The gene DNMT1 was shared between the network modules and the WGCNA brown module. According to the single-gene GSEA results, DNMT1 was significantly positively correlated with histidine metabolism and phenylalanine metabolism. This study identified 7 key SP-DEGs in adipose tissue. DNMT1 was selected as the central gene in the development of metabolic syndrome and might be a potential therapeutic target.

Copper-instigated modulatory cell mortality mechanisms and progress in kidney diseases

Copper is a vital cofactor in various enzymes, plays a pivotal role in maintaining cell homeostasis. When copper metabolism is disordered and mitochondrial dysfunction is impaired, programmed cell death such as apoptosis, paraptosis, pyroptosis, ferroptosis, cuproptosis, autophagy and necroptosis can be induced. In this review, we focus on the metabolic mechanisms of copper. In addition, we discuss the mechanism by which copper induces various programmed cell deaths. Finally, this review examines copper's involvement in prevalent kidney diseases such as acute kidney injury and chronic kidney disease. The findings indicate that the use of copper chelators or plant extracts can mitigate kidney damage by reducing copper accumulation, offering novel insights into the pathogenesis and treatment strategies for kidney diseases.

Early gestational diabetes mellitus risk predictor using neural network with NearMiss

BACKGROUND

Gestational diabetes mellitus (GDM) is globally recognized as a significant pregnancy-related condition, contributing to complex complications for both mothers and infants. Traditional glucose tolerance tests lack the ability to identify the risk of GDM in early pregnancy, hindering effective prevention and timely intervention during the initial stages.

OBJECTIVE

The primary objective of this study is to pinpoint potential risk factors for GDM and develop an early GDM risk prediction model using neural networks to facilitate GDM screening in early pregnancy.

METHODS

Initially, we employed statistical tests and models, including univariate and multivariate logistic regression, to identify 14 potential risk factors. Subsequently, we applied various resampling techniques alongside a multi-layer perceptron (MLP). Finally, we evaluated and compared the classification performances of the constructed models using various metric indicators.

RESULTS

As a result, we identified several factors in early pregnancy significantly associated with GDM (p < 0.05), including BMI, age of menarche, age, higher education, folic acid supplementation, family history of diabetes mellitus, HGB, WBC, PLT, Scr, HBsAg, ALT, ALB, and TBIL. Employing the multivariate logistic model as the baseline achieved an accuracy and AUC of 0.777. In comparison, the MLP-based model using NearMiss exhibited strong predictive performance, achieving scores of 0.943 in AUC and 0.884 in accuracy.

CONCLUSIONS

In this study, we proposed an innovative interpretable early GDM risk prediction model based on MLP. This model is designed to offer assistance in estimating the risk of GDM in early pregnancy, enabling proactive prevention and timely intervention.

Effect of combined aerobic exercise and resistance training on postmenopausal women with type 2 diabetes: a systematic review and meta-analysis

BACKGROUND

There is no strong evidence demonstrating whether or not aerobic exercise in conjunction with resistance exercise improves metabolic diabetes markers in postmenopausal women.

OBJECTIVE

To evaluate the effect of aerobic exercise and resistance training on metabolic markers in postmenopausal women with type 2 diabetes mellitus (T2DM) by means of a systematic review and meta-analysis.

METHODS

The searches were completed using EMBASE, MEDLINE/PubMed, Scopus and Web of Science databases. This study included non-blinded, single or double-blinded randomized control trials and postmenopausal women diagnosed with T2DM. The imposed intervention was aerobic exercise plus any training protocol to strengthen muscle groups for resistance intervention. The outcomes of interest were the blood glucose levels, insulin secretion, homeostasis model assessment-insulin resistance index (HOMA-IR) and glycated hemoglobin (HbA1c). Risk of Bias tools and GRADE were obligatory.

RESULTS

Three studies were included (83 participants). Exercise intervention ranged between two to four days per week. Compared to the control group, in the group submitted to aerobic exercise + resistance training, no significant change was noted for HbA1c (subtotal = mean difference - 0.35 [95% CI: -0.85, 0.15], p = .17, and heterogeneity = 0%) (GRADE: very low), nevertheless, HOMA-IR index was significantly improved (subtotal = mean difference -0.52 [95% CI: -0.99, -0.05], p = .03, and heterogeneity = 0%) (GRADE: very low).

CONCLUSION

Despite the very low certainty found in the quality of evidences, our analysis showed that aerobic exercise along with strength exercise seems to improve some metabolic diabetes markers in postmenopausal women with T2DM. There is a need for further studies to support our preliminary findings.

Advances in therapies using mesenchymal stem cells and their exosomes for treatment of peripheral nerve injury: state of the art and future perspectives

"Peripheral nerve injury" refers to damage or trauma affecting nerves outside the brain and spinal cord. Peripheral nerve injury results in movements or sensation impairments, and represents a serious public health problem. Although severed peripheral nerves have been effectively joined and various therapies have been offered, recovery of sensory or motor functions remains limited, and efficacious therapies for complete repair of a nerve injury remain elusive. The emerging field of mesenchymal stem cells and their exosome-based therapies hold promise for enhancing nerve regeneration and function. Mesenchymal stem cells, as large living cells responsive to the environment, secrete various factors and exosomes. The latter are nano-sized extracellular vesicles containing bioactive molecules such as proteins, microRNA, and messenger RNA derived from parent mesenchymal stem cells. Exosomes have pivotal roles in cell-to-cell communication and nervous tissue function, offering solutions to changes associated with cell-based therapies. Despite ongoing investigations, mesenchymal stem cells and mesenchymal stem cell-derived exosome-based therapies are in the exploratory stage. A comprehensive review of the latest preclinical experiments and clinical trials is essential for deep understanding of therapeutic strategies and for facilitating clinical translation. This review initially explores current investigations of mesenchymal stem cells and mesenchymal stem cell-derived exosomes in peripheral nerve injury, exploring the underlying mechanisms. Subsequently, it provides an overview of the current status of mesenchymal stem cell and exosome-based therapies in clinical trials, followed by a comparative analysis of therapies utilizing mesenchymal stem cells and exosomes. Finally, the review addresses the limitations and challenges associated with use of mesenchymal stem cell-derived exosomes, offering potential solutions and guiding future directions.

Interconnections between diabetic corneal neuropathy and diabetic retinopathy: diagnostic and therapeutic implications

Diabetic corneal neuropathy and diabetic retinopathy are ocular complications occurring in the context of diabetes mellitus. Diabetic corneal neuropathy refers to the progressive damage of corneal nerves. Diabetic retinopathy has traditionally been considered as damage to the retinal microvasculature. However, growing evidence suggests that diabetic retinopathy is a complex neurovascular disorder resulting from dysfunction of the neurovascular unit, which includes both the retinal vascular structures and neural tissues. Diabetic retinopathy is one of the leading causes of blindness and is frequently screened for as part of diabetic ocular screening. However, diabetic corneal neuropathy is commonly overlooked and underdiagnosed, leading to severe ocular surface impairment. Several studies have found that these two conditions tend to occur together, and they share similarities in their pathogenesis pathways, being triggered by a status of chronic hyperglycemia. This review aims to discuss the interconnection between diabetic corneal neuropathy and diabetic retinopathy, whether diabetic corneal neuropathy precedes diabetic retinopathy, as well as the relation between the stage of diabetic retinopathy and the severity of corneal neuropathy. We also endeavor to explore the relevance of a corneal screening in diabetic eyes and the possibility of using corneal nerve measurements to monitor the progression of diabetic retinopathy.

Venous thromboembolism following lung transplantation

Lung transplantation (LT) is currently a surgical therapy option for end-stage lung disease. Venous thromboembolism (VTE), which can occur after LT, is associated with significant morbidity and mortality. Because of improved outcomes, increasing numbers of patients are receiving LT as treatment. Patients on the waitlist for LT tend to be older with weakness and frailty in addition to pulmonary symptoms. These factors contribute to a heightened risk of postoperative VTE. Furthermore, patients who clinically deteriorate while on the waitlist may require extra corporeal membrane oxygenation as a bridge to LT. Bleeding and thromboembolism are common in these patients. Pulmonary embolism (PE) in a freshly transplanted lung can have significant effects leading to morbidity and mortality. PE typically leads to impairment of gas exchange and right ventricular strain. In LT, PE can affect healing of bronchial anastomosis and may even contribute to the development of chronic allograft lung dysfunction. This article discussed the incidence, clinical features and diagnosis of VTE after LT. Furthermore, the treatment modalities, complications, and outcomes of VTE were reviewed.

Implementing novel complete blood count-derived inflammatory indices in the diabetic kidney diseases diagnostic models

Objectives

Hemogram inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), red-cell distribution width (RDW), and mean platelet volume (MPV) have been associated with type 2 diabetes mellitus (T2DM) and its complications, namely diabetic kidney diseases (DKD). We aimed to develop and validate logistic regression (LR) and CatBoost diagnostic models and study the role of adding these markers to the models.

Methods

All individuals who were managed in our secondary care center from March 2020 to December 2023 were identified. After excluding the ineligible patients, train-test splitting, and data preprocessing, two baseline LR and CatBoost-based models were developed using demographic, clinical, and laboratory features. The AUC-ROC of the models with biomarkers (NLR, PLR, RDW, and MPV) was compared to the baseline models. We calculated net reclassification improvement (NRI) and integrated discrimination index (IDI).

Results

One thousand and eleven T2DM patients were eligible. The AUC-ROC of both LR (0.738) and CatBoost (0.715) models was comparable. Adding target inflammatory markers did not significantly change the AUC-ROC in both LR and CatBoost models. Adding RDW to the baseline LR model reclassified 41.7% of patients without DKD, in the cost of misclassification of 38.4% of DKD cases. This change was absent in CatBoost models, and other markers did not achieve improved NRI or IDI.

Conclusion

The basic models with demographical and clinical features had acceptable performance. Adding RDW to the basic LR model improved the reclassification of the non-DKD participants. However, adding other hematological indices did not significantly improve the LR and CatBoost models' performance.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-024-01523-2.

Association of resistin rs1862513, rs10401670 and rs3745367 polymorphisms with resistin level and insulin resistance in an Iranian type 2 diabetic population

Objectives

The study investigates the association of single nucleotide polymorphisms (SNP) in resistin gene (RETN) with resistin level, insulin resistance, and the risk of type 2 diabetes in an early diagnosed type 2 diabetic population of Iran.

Methods

The total of 80 healthy subjects and 80 individuals diagnosed with type 2 diabetes. To ascertain the genotypes of rs1862513 and rs3745367, we performed the polymerase chain reaction with restriction fragment length polymorphism (PCR-RFLP) technique. The genotyping of resistin rs10401670 was conducted a Tetra-arms amplification system. Resistin and insulin levels were also measured by the ELISA method. Statistical analyses were performed by SPSS software.

Results

Resistin level was increased significantly in patients with type 2 diabetes; a significant difference was seen in biochemical parameters between diabetic and non-diabetic group except high-density lipoprotein cholesterol (HDL-C), low density lipoprotein (LDL-C), and insulin. We did not find statistically a significant association between type 2 diabetes mellitus [T2DM] and resistin gene at SNP. However, rs3745367 exhibit a significant association with resistin level among individuals with diabetes. The serum resistin level exhibited a positive association level with body mass index, FPG and insulin resistance. Additionally, anegative correlation between resistin levels and age, as well as HDL-C was also revealed (P-value < 0.05).

Conclusions

No significant association was observed between the rs1862513, rs10401670, and rs3745367 polymorphisms, with the susceptibility to type 2 diabetes. The serum resistin levels was positively correlated body with mass index, FPG and insulin resistance, but negatively correlated with HDL-C.

Influence of smoking on glycaemic control in individuals with type 1 diabetes using flash glucose monitoring and its mediating role in the relationship between socioeconomic status and glycaemic control

Objective

This study examined the influence of smoking on glycaemic control in individuals with type 1 diabetes (T1D) using flash continuous glucose monitoring (F-CGM) systems, as well as its potential mediating role in the relationship between socioeconomic status (SES) and glycaemic control.

Methods

This study included 378 subjects with T1D (18% smokers). Glucose metrics cloud downloads were obtained over a period of 14 days. Mean annual net income per person based on census tract data was used as a proxy for SES. Mediation analysis was performed using four-way effect decomposition procedures.

Results

Smokers exhibited significantly lower net income than non-smokers (p < 0.001). Compared to smokers, non-smokers showed better glycaemic control characterized as higher time in range (TIR) 70-180 mg/dL (p = 0.002) and lower glycosylated haemoglobin levels (p = 0.008). Mediation analysis revealed a significant mediating role of smoking in the relationship between SES and glycaemic control (TIR).

Conclusions

Our data suggest that smoking exerts a detrimental effect on glycaemic control in individuals with T1D using F-CGM systems. In addition, tobacco use partially mediates the relationship between SES and glycaemic control. Thus, adopting smoking cessation measures could lead to improved glycaemic control and help mitigate the impact of social inequalities on T1D.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-024-01535-y.

Effectiveness of different gums on modulating of glycemic indices in adults: a systematic review and meta-analysis

Background

Functional foods have been widely used as the anti-diabetic agents worldwide. Existing studies presented conflicting results of anti-hyperglycemic properties of gums. This systematic review and meta-analysis study evaluated the existing trials and determined the efficacy of different gums on glycemic indices.

Method

Systematic search was performed on four main databases (PubMed, Scopus, Embase, Web of Science) by November 2023 using medical subject headings. The meta-analyses were conducted on the findings of the studies of guar gum supplementation on glycemic indices including fasting blood glucose (FBG) and HbA1c (hemoglobinA1c) and systematic review studies include the effect of xanthan gum, arabic gum, bitter almond gum, flaxseed gum, oat gum, gellan gum, locust been gum, tragacanth gum, and karaya gum on fasting plasma insulin, postprandial plasma glucose, HbA1c and Homeostatic Model Assessment for Insulin Resistance (HOMA - IR).

Results

Totally, 42 studies were included in this systematic review. Regarding guar gum, xanthan gum, and Arabic gum, most of included studies in our investigation showed that guar gum can be considered as an anti-hyperglycemic agent. Results on other types of gums including bitter almond gum, flaxseed gum, oat gum, gellan gum, locust been gum, tragacanth gum, and karaya gum are limited and exact interpretation cannot be obtained. In meta-analysis on 17 studies of guar gum, it was identified guar gum had a non-significant decrease of 3.02 mg/dl (Mean difference: -3.02, CI 95%: -7.60, 1.56) on the fasting glucose and 0.23 (Mean difference: -0.23, CI 95%: -0.63, 0.17) on HbA1c.

Conclusion

Modification of food processing using gums may be a promising strategy to help modulate glycemic indices. More studies with larger sample size are needed, both with acute and long-term interventions to clarify this issue.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-024-01541-0.

Glucose regulation and association with Vitamin D and parathyroid hormone - differences across Middle Eastern and Caucasian ethnicities

Background

Middle Eastern (ME) immigrants to Europe have a heavy burden of metabolic disorders including a higher prevalence of insulin resistance, T2D and obesity as compared to native-born Europeans. Vitamin D insufficiency and deficiency are prevalent conditions in people originating from the ME.

Aims

To study the differences in the levels of 25(OH)D and parathyroid hormone (PTH) across ME and European ethnicity, and the effect of 25(OH)D and PTH on insulin action and secretion.

Methods

Vitamin D and PTH levels were assessed in a population-based cohort of 918 participants (449 Swedes and 469 Iraqis) aged 30-75 years. The differences between the groups in the adjusted levels of Vitamin D and PTH were studied using multiple regression analysis. Differences in insulin action and secretion, in relation to risk markers including Vitamin D and PTH, were assessed using multiple regression analysis.

Results

Vitamin D and PTH adjusted levels differed significantly between the groups; 92% of the Iraqi-born versus 45% of the Swedish-born individuals had Vitamin D levels below 50 nmol/L. The mean levels of PTH (SD) were higher in Iraqi-born compared to native Swedish-born (5.1 (2.3) vs. 3.8 (1.6) pmol/L, p = < 0.001). Insulin sensitivity was lower in Iraqi-born (79.16 vs. 98.97, β -0.085, 95% CI -.163 to -.007) but after adjustment for the confounding effect of Vitamin D, the differences in insulin action observed between the groups were no longer significant.

Conclusion

The ethnic differences in insulin action could be explained by differences in the levels of Vitamin D.

Urinary pentosidine as a potential biomarker of impaired bone health: a systematic review and meta-analysis

Background

Urinary pentosidine, an advanced glycation end product (AGE), has been proposed as a potential biomarker for impaired bone health, especially in older adults and those with diabetes. This study aimed to systematically review and meta-analyze the association of urinary pentosidine with bone mineral density (BMD) and fracture risk.

Methods

A comprehensive search of Embase, PubMed, Scopus, and Web of Science databases was conducted and records were gathered from 1960 to February 2024. Relevant papers were screened and data were extracted by two independent reviewers. Hedges' g standardized mean difference (SMD) and 95% confidence intervals (CI) were calculated to compare urinary pentosidine levels between patients with and without fractures.

Results

A total of 12 studies comprising 5,878 participants were included in the systematic review. The meta-analysis revealed that patients with fractures had significantly higher urinary pentosidine levels compared to those without fractures (SMD [95% CI] = 0.53 [0.39-0.68]; I² = 54%; P < 0.01). In patients with vertebral fractures, pentosidine levels were also elevated (SMD [95% CI] = 0.51 [0.32-0.70]; I² = 64%; P < 0.01). Additionally, some studies demonstrated that an increase in urinary pentosidine was significantly associated with fracture risk (aHR = 1.20 [95% CI = 1.07-1.33]; P = 0.001) and BMD reduction (β = -0.125 [95% CI = -0.248, -0.002]; P = 0.047). However, other studies showed inconsistent results, particularly regarding the association between pentosidine and BMD or fracture risk in non-diabetic populations (aRR [95%CI] = 1.08 [0.79-1.49]; P = 0.6). Diagnostic accuracy analyses revealed a sensitivity of 71.9% and specificity of 61.2% for urinary pentosidine in predicting vertebral fracture in patients with type 2 diabetes mellitus.

Conclusion

This systematic review and meta-analysis demonstrate that elevated urinary pentosidine levels are associated with an increased risk of fractures and, to a lesser extent, reduced bone mineral density. Its diagnostic accuracy improves when integrated with other clinical markers, such as BMD and bone turnover indices. However, due to the variability in results, further research is needed to standardize pentosidine's use as a reliable biomarker for impaired bone health in clinical practice.

Impact of walnut consumption on glycemic control and anthropometric indices: a systematic review and meta-analysis of randomized controlled trials

Objectives

Previous studies have led to conflicting results regarding the effect of walnut consumption on glycemic control, and anthropometric indices. This study aimed to evaluate the efficacy of walnut consumption on serum levels of fasting blood sugar (FBS), fasting insulin, hemoglobin A1C (HbA1c), homeostasis model assessment of insulin resistance (HOMA-IR), weight and body mass index (BMI) through a systematic review and meta-analysis of randomized controlled trials (RCTs).

Methods

PubMed, Scopus, Web of Science, and the Cochrane databases were searched up to February 2023. Weighted mean difference (WMD) was analyzed using random effects models to assess the overall effect.

Results

A total of thirty-two RCTs were included in the systematic review and meta-analysis. Walnut supplementation was found to significantly reduce HOMA-IR (WMD = -0.29; 95% CI: -0.57, -0.01, P = 0.04), and body weight (WMD = -0.14 kg; 95% CI: -0.24, -0.04; P = 0.008). However, the meta-analysis showed that walnut supplementation did not have a significant effect on FBS (WMD = 0.62 mg/dL; 95% CI: -0.66, 1.91; P = 0.34), insulin levels (WMD = 1.27 mIU/ml; 95% CI: -0.59, 3.14; P = 0.18), HbA1C (WMD = 0.00%; 95% CI: -0.09, 0.10; P = 0.95), and BMI (WMD = -0.10 kg/m2; 95% CI: -0.40, 0.20; P = 0.50).

Conclusion

In conclusion, this study found a significant reduction in HOMA-IR levels and body weight with walnut supplementation, while other glycemic markers, and obesity-related indices did not change significantly. Future well-designed trials are needed to confirm these results.

Developmental dynamics mimicking inversely engineered pericellular matrix for articular cartilage regeneration

The mechanical mismatch of scaffold matrix-mesenchymal stem cells (MSCs) has been a longstanding issue in the clinical application of MSC-based therapy for articular cartilage (AC) regeneration. Existing tissue-engineered scaffolds underestimate the importance of the natural chondrocyte pericellular matrix (PCM). Here, we reveal the temporal and spatial characteristics of collagen distribution around the chondrocytes. Next, we demonstrate a rationally designed layer-by-layer single-cell encapsulation system which can mimic PCM mechanical responses and enhance MSC chondrogenesis via reestablished the mechanical coupling of PCM-like primitive matrix and chondrocytes. This successfully simulates the temporal and spatial characteristics of collagen secretion. Through investigation of the micromechanical environment of the cells and full-atom simulation analysis of TRPV4, we determine the specific mechanisms by which cellular mechanical forces near the cell are converted into biological signals. The TRPV4-YAP/TAZ-PI3K-Akt signaling pathway is involved in MSC cartilage formation through a joint analysis of the mRNA sequencing and spatial transcriptome results. In a rat model of articular cartilage defects, our inversely engineered pericellular matrix-encapsulated MSC-loaded scaffolds show regenerative performance that are superior to those of scaffolds loaded with only MSCs. These results demonstrate the feasibility of using a PCM-mimicking system to improve MSC chondrogenesis and the efficacy of AC repair.

Fecal microbiota transplantation as a potential therapeutic approach to improve impaired glucose tolerance via gut microbiota modulation in rat model

Objectives

To investigate the impact of diet-induced gut microbiota alterations on type 2 diabetes and assess the therapeutic potential of Fecal Microbiota Transplantation (FMT) in restoring a balanced gut microenvironment.

Methods

To induce type 2 diabetes, rats were fed a high-sugar high-fat diet (HSFD) for 90 days. After diabetes induction, animals were divided into an HSFD control group, a metformin group (100 mg/kg), and an FMT group (100 mg/kg), receiving treatment for an additional 90 days. Fasting blood glucose levels, glucose tolerance, serum markers (HbA1C, free fatty acids, lipopolysaccharides, pro-inflammatory and anti-inflammatory cytokines), and gut microbiota profiles via cecal metagenome sequencing were analyzed post-treatment.

Results

FMT effectively restored gut microbiota composition to a profile similar to healthy controls, rebalancing the Firmicutes/Bacteroidetes ratio and increasing beneficial taxa, including Prevotella ruminicola, Akkermansia muciniphila, Roseburia, and Faecalibacterium prausnitzii. These microbial shifts corresponded with significant metabolic improvements: FMT reduced inflammatory markers (LPS and FFA), lowered HbA1c, and improved glucose tolerance. Enhanced gut barrier integrity observed in FMT-treated animals likely contributed to reduced endotoxemia and systemic inflammation, distinguishing FMT's metabolic effects from those of metformin. Notably, FMT addressed the dysbiosis associated with HSFD, promoting microbial resilience and mitigating the metabolic disruptions linked to type 2 diabetes.

Conclusion

These findings underscore the potential of FMT as a targeted therapeutic approach to modulate gut microbiota composition and mitigate metabolic dysregulation induced by high sugar high fat diet.

Hydrogel injection molded complex macroencapsulation device geometry improves long-term cell therapy viability and function in the rat omentum transplant site

Insulin-secreting allogeneic cell therapies are a promising treatment for type 1 diabetes, with the potential to eliminate hypoglycemia and long-term complications of the disease. However, chronic systemic immunosuppression is necessary to prevent graft rejection, and the acute risks associated with immunosuppression limit the number of patients who can be treated with allogeneic cell therapies. Islet macroencapsulation in a hydrogel biomaterial is one proposed method to reduce or eliminate immune suppression; however, macroencapsulation devices suffer from poor oxygen transport and limited efficacy as they scale to large animal model preclinical studies and clinical trials. Hydrogel geometric device designs that optimize nutrient transport combined with methods to promote localized vasculogenesis may improve in vivo macroencapsulated cell viability and function. Here, we demonstrate with finite element modeling that a high surface area-to-volume ratio spiral geometry can increase macroencapsulated islet viability and function relative to a traditional cylindrical design, and we validate these observations in vitro under normoxic and physiological oxygen conditions. Finally, we evaluate macroencapsulated syngeneic islet survival and function in vivo in a diabetic rat omentum transplant model, and demonstrate that high surface area-to-volume hydrogel device designs improved macroencapsulated syngeneic islet function relative to traditional device designs.

Clinical outcomes of roux-en-Y gastric bypass versus medical therapy in type 2 diabetes mellitus: a systematic review and meta-analysis

Background

The growing incidence of obesity has led to a proportionate rise in type 2 diabetes mellitus (T2DM) and its associated complications. We aimed to compare the long-term outcomes of Roux-en-y Gastric Bypass surgery (RYGB) and conventional medical management in T2DM obese patients.

Methods

PubMed, Google Scholar, and Clinicaltrial.gov were searched from inception to September 2023. Randomized Controlled Trials (RCTs) and cohort studies were included in this meta-analysis. The primary outcomes were the T2DM remission at 1, 2, 3, and 5 years and the accomplishment of the ADA composite triple treatment goal. The revised Cochrane risk of bias tool 2.0 and New-Castle Ottawa scale were used to assess the quality of the studies. This meta-analysis was registered prospectively on PROSPERO CRD42023466324.

Results

Of the 3,323 studies yielded from our initial search, 22 were included in this evidence analysis, with 5,176 total patients (1,984 and 3,192 patients in RYGB and conventional medical management groups). A significant increase in the accomplishment in the ADA's composite triple treatment goal was observed in RYGB group as compared to the conventional medical management group (RR 2.41, 95% CI 1.39-4.15, p-value 0.002, I2 35%). Diabetes remission was a clinically successful outcome after 1, 2, 3, and 5 years of the RYGB surgery in the patients (1 year; RR 4.74, 95%CI 2.46-9.12, p-value < 0.00001, I2 0%, 2 years; RR 8.95, 95% CI 1.71-46.71, p-value 0.009, I2 92%3 years; RR 18.18 95%CI 7.57-43.62, p-value < 0.00001, I2 0%, 5 years; RR 0.22, 95% CI 2.31-16.75, p-value 0.0003, I2 = 71%).

Conclusion

The pooled analysis of the given data concluded that the RYGB surgery was more effective in treating T2DM in patients than conventional medical management.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-024-01526-z.

Excessive exposure to nitrate and nitrite boosts progression of isolated impaired fasting glucose to type 2 diabetes: a cohort study

Objectives

This cohort study investigated the possible association of dietary nitrate (NO3)/nitrite (NO2) intake and risk of progression to type 2 diabetes (T2D) across different phenotypes of prediabetes (Pre-DM).

Methods

A total of 1586 adults diagnosed with Pre-DM [i.e., 60.2% isolated impaired fasting glucose (iIFG), 21% isolated impaired glucose tolerance (iIGT), and 18.8% combined IFG-IGT] in the third (2006-2008) and fourth (2009-2011) examinations of the Tehran Lipid and Glucose Study, were assessed for dietary intake of NO3 and NO2 and were followed up to 2015-2017. Cox proportional hazard models, stratified by Pre-DM phenotypes, were used to plot cumulative hazard curve and calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for developing T2D across tertile categories and per every 100 mg/d NO3 and 2 mg/d NO2 intake exceeded the acceptable daily intake (ADI).

Results

The mean age of the participants was 47.2 ± 12.9 years at baseline, and 52.2% were men. Highest intake of NO3 (≥ 645 vs. < 451 mg/d) and NO2 (≥ 11.5 vs. <9.0 mg/d) increased risk of T2D among subjects with iIFG (HR = 1.69, 95% CI = 1.04-2.74 and HR = 2.07, 95% CI = 1.29-3.32). The cumulative hazards were higher in the highest compared to the lowest NO3 and NO2 intake in subjects with iIFG phenotype. Every 100 mg/d of NO3 and 2 mg/d NO2 intake exceeded ADI was associated with an increased risk of progression from iIFG to T2D by 13 and 25%, respectively.

Conclusion

High exposure to dietary NO3 and NO2 may be a risk factor for developing T2D in subjects with iIFG.

Old and new anti-obesity drugs

Obesity is a pandemic problem that correlates with a cluster of metabolic factors leading to poor cardiovascular outcomes, morbidity, and an increased risk of overall mortality. It is necessary to approach obesity with a comprehensive treatment plan, which may involve lifestyle modifications (diet, exercise, and behavioral therapy) and pharmacological interventions. This article provides an overview of the mechanisms of action, efficacy, and safety of available long-term anti-obesity drugs and introduces other potential agents under investigation.

The Menstrual Cycle as a Vital Sign: a comprehensive review

Some medical professional organizations have advocated for including the menstrual cycle as a vital sign in adolescence, but not in adulthood. However, documenting menstrual cycle patterns is not routine clinical or research practice. Vital signs are used to predict health outcomes, indicate needed treatment, and monitor a clinical course. They can help identify pathologies, affirm wellness, and are responsive to exposures. Here we review the scientific evidence showing how the menstrual cycle meets these criteria and should therefore be treated as a vital sign. Using key words and controlled vocabulary terms, we carried out multiple literature searches, prioritizing the inclusion of systematic reviews, meta-analyses, and clinical practice guidelines. This review describes how the menstrual cycle is a health indicator, can cyclically impact health conditions, and its associations with long-term post-menopausal health outcomes. We review exposures influencing the menstrual cycle, evidence underlying its use to optimize wellness, and available tools for documenting cycles. Supplementary materials include patient handouts on menstrual cycle tracking, and an index of related clinical practice guidelines and reviews by subject. The menstrual cycle is a vital sign from menarche through menopause, an underutilized but powerful tool for understanding gynecological and general health.