The Lancet Commission on diabetes: using data to transform diabetes care and patient lives

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.

Triglyceride-glucose related indices as predictors for major adverse cardiovascular events and overall mortality in type-2 diabetes mellitus patients

BACKGROUND

Recent studies have indicated that triglyceride glucose (TyG)-waist height ratio (WHtR) and TyG-waist circumference (TyG-WC) are effective indicators for evaluating insulin resistance. However, research on the association in TyG-WHtR, TyG-WC, and the risk and prognosis of major adverse cardiovascular events (MACEs) in type 2 diabetes mellitus (T2DM) cases are limited.

AIM

To clarify the relation in TyG-WHtR, TyG-WC, and the risk of MACEs and overall mortality in T2DM patients.

METHODS

Information for this investigation was obtained from Action to Control Cardiovascular Risk in Diabetes (ACCORD)/ACCORD Follow-On (ACCORDION) study database. The Cox regression model was applied to assess the relation among TyG-WHtR, TyG-WC and future MACEs risk and overall mortality in T2DM cases. The RCS analysis was utilized to explore the nonlinear correlation. Subgroup and interaction analyses were conducted to prove the robustness. The receiver operating characteristic curves were applied to analysis the additional predicting value of TyG-WHtR and TyG-WC.

RESULTS

After full adjustment for confounding variables, the highest baseline TyG-WHtR cohort respectively exhibited a 1.353-fold and 1.420-fold higher risk for MACEs and overall mortality, than the lowest quartile group. Similarly, the highest baseline TyG-WC cohort showed a 1.314-fold and 1.480-fold higher risk for MACEs and overall mortality, respectively. Each 1 SD increase in TyG-WHtR was significantly related to an 11.7% increase in MACEs and a 14.9% enhance in overall mortality. Each 1 SD increase in TyG-WC corresponded to an 11.5% in MACEs and a 16.6% increase in overall mortality. Including these two indexes in conventional models significantly improved the predictive power for MACEs and overall mortality.

CONCLUSION

TyG-WHtR and TyG-WC were promising predictors of MACEs and overall mortality risk in T2DM cases.

Relationship between trajectory of Chinese visceral adiposity index and risk of type 2 diabetes mellitus: Evidence from the China-PAR project

AIMS

This study aimed to identify the distinct change trajectories of the Chinese visceral adiposity index (CVAI) over time and to investigate their associations with risk of type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

This study included 52 394 participants from the prospective project, the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR). The CVAI was calculated using measures of age, body mass index, waist circumference, triglycerides and high-density lipoprotein cholesterol. Latent mixture modelling was conducted to fit distinct trajectory patterns. The logistic regression model was applied to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the risk of T2DM with various CVAI trajectory patterns.

RESULTS

Four distinct CVAI trajectory patterns were identified: low-increasing, moderate-increasing, moderate high-increasing and high-increasing. Compared with low-increasing CVAI, participants with moderate-increasing (OR 1.73, 95% CI 1.49-2.00), moderate high-increasing (3.48, 3.01-4.03) and high-increasing CVAI (5.50, 4.67-6.47) had a significantly increased risk of T2DM. Similar trajectory patterns were identified in both men and women. The ORs (95% CI) for moderate-increasing, moderate high-increasing and high-increasing groups were 3.28 (2.56-4.19), 7.85 (6.09-10.13) and 13.21 (9.98-17.49) in women respectively, and 1.20 (0.99-1.45), 2.18 (1.82-2.62) and 3.60 (2.93-4.43) in men respectively, when compared to the low-increasing CVAI group. Further, significant effect modifications for age, smoking and physical activity (all Pinteraction <0.05) were observed in the relationship between CVAI trajectory patterns and T2DM.

CONCLUSIONS

Initially high and persistently elevated CVAI is significantly associated with an increased risk of T2DM, with a particular focus on women, younger people, nonsmokers and physically inactive individuals. Continuous monitoring of CVAI levels will benefit effective identification, early intervention and management of individuals at high risk of T2DM.

Type 2 diabetes: a contemporary view from the Asian lens

PURPOSE OF REVIEW

The aim of this article was to review the up-to-date evidence with regards to the unique features of the Type 2 diabetes (T2D) pathophysiology, complications, response to therapy with the possibility of precision medicine guiding therapeutic decision making in Asia.

RECENT FINDINGS

Asia is the epicenter of diabetes. There have been marked advances with genotyping and phenotyping of the Asian patient with T2D, particularly with young onset diabetes where early beta cell failure and rapid progression of complications are more frequent. As Asians have lower muscle mass and higher adiposity, sarcopenia is increasingly associated with diabetes. Response to lifestyle and pharmacotherapy are generally similar, but unique features exist with different populations. Across Asia, use of guideline directed medical therapy for cardio-renal protection are recommended, but uptake of these newer agents are suboptimal and barriers exist with regards to standardized care.

SUMMARY

Although many similarities have been observed across Asia, due to the heterogeneity of populations within Asia, further research is required to streamline and pave the way towards precision medicine. There is an urgent need for region wide consensus to minimize barriers to diabetes care and stigma in diabetes terminology across Asia.

In-situ oxygen-supplying ROS nanopurifier for enhanced healing of MRSA-infected diabetic wounds via microenvironment modulation

Hypoxia, high ROS levels and chronic inflammation are the main factors that hinder the healing of diabetic wounds. Long-term exposed wounds are prone to bacterial infection, especially MRSA infection, which exacerbates the complex wound microenvironment of diabetes and threatens patients' lives. Here, we developed a ROS nanopurifier (CSVNP), which was prepared by loading superoxide dismutase (SOD), catalase (CAT) and vancomycin into nanogels through in-situ polymerization. CSVNP can effectively increase enzyme loading and stability, and improve cascade reaction efficiency between enzymes through nanosize effect, so that CSVNP can use a variety of ROS (H2O2 and ·O2-) as oxygen sources to generate much oxygen in situ, which can effectively alleviate the hypoxic environment and inflammatory response of diabetic tissues, theraby promoting cell migration and angiogenesis, and accelerating wound healing. In addition, the generated oxygen can further promote the transformation of pro-inflammatory M1 macrophages into anti-inflammatory M2 macrophages and reduce pro-inflammatory factors (TNF-α, IL-6, and IL-1β) release. CSVNP can also effectively eradicate MRSA by releasing vancomycin, preventing bacterial infection from exacerbating the deterioration of diabetic wounds. This multifunctional ROS nanopurifier with antiphlogosis, antibacterial and in-situ oxygen supply, provides a new strategy with universal and translational prospects for clinical diabetic tissue damage. STATEMENT OF SIGNIFICANCE: Methicillin-resistant staphylococcus aureus (MRSA)-infected diabetic wounds face significant challenges in clinical care, characterized by high ROS levels, acute inflammation, vascular lesions, and hypoxia, which impede healing and risk severe complications. Here, we originally developed a reactive oxygen species (ROS) nanopurifier prepared by in-situ polymerization of superoxide dismutase (SOD), catalase (CAT), and vancomycin. It uses SOD and CAT to continuously convert ROS (H2O2 and ·O2-) into O2 in diabetic tissues, effectively improving hypoxia and chronic inflammation, thereby promoting angiogenesis and cell proliferation and migration, and accelerating diabetic wound healing. Vancomycin can effectively kill MRSA bacteria, avoid bacterial infection spread, and reduce complications risk. This safe, efficient and easy-to-prepare ROS nanopurifier provides a general strategy for repairing MRSA-infected diabetic tissue damage.

Insulin therapy adherence and its associated factors among diabetic patients in a Ghanaian primary care hospital

BACKGROUND

Diabetes mellitus (DM) is a global health problem. Adherence to intensive insulin therapy is necessary to achieve better glycemic control in types 1 and 2 DM. This study aimed to evaluate the extent of adherence to insulin therapy, its predictors and to identify barriers to its adherence.

METHOD

This was a cross-sectional survey among adult (≥18 years) diabetic patients who are currently using insulin, either alone or in combination with an oral antidiabetic regimen, and seeking primary care at Kwame Nkrumah University of Science and Technology Hospital in Ghana. A total of one hundred and eight-six patients were conveniently sampled, and interviewed. Insulin adherence was determined using the Medication Adherence Reporting Scale-5. Descriptive statistics, a chi-square test of independence, and a multiple logistic regression analysis were performed using STATA version 14 (StataCorp, TX USA).

RESULTS

The majority of the patients interviewed were over 60 years (40.32%); female (61.83%); married (68.82%); and had completed secondary education (48.39%). 67.20% of the patients were adherent to insulin therapy. Adherence level was associated with age (p = 0.020), marital status (p = 0.001), employment status (p = 0.012), type of DM (p<0.001), regular follow-up (p = 0.007) and comorbidities (p = 0.002) and was only predicted by the type of DM (aOR = 14.82 C.I 1.34-163.50, p-value = 0.028).

CONCLUSION

Adherence to insulin therapy among our study population was suboptimal, which is a concern considering the associated increased risk of complications. Adherence assessment and counselling by healthcare professionals to address barriers to poor adherence must be continually undertaken to achieve optimal glycemic control.

IMPACT OF FINDINGS ON PRACTICE STATEMENTS

Continuous adherence assessment and counselling must be offered to all diabetes mellitus patients on insulin therapy as part of their ambulatory care to help improve outcomes.Using the Medication Adherence Reporting Scale-5 to determine patient adherence levels is an easy-to-use and an inexpensive method; however, it should be used with caution due to the potential for misclassification.Efforts must be made to provide appropriate strategies to deal with barriers to insulin adherence at ambulatory care clinics as part of the individualized comprehensive diabetic care to reduce diabetic complications.

Green sanctuaries: residential green and garden space and the natural environment mitigate mental disorders risk of diabetic patients

BACKGROUND

The co-occurrence of diabetes and mental disorders is an exceedingly common comorbidity with poor prognosis. We aim to investigate the impact of green space, garden space, and the natural environment on the risk of mental disorders among the population living with diabetes.

METHODS

We performed a longitudinal analysis based on 39,397 participants with diabetes from the UK Biobank. Residential green and garden space modeled from land use data and the natural environment from Land Cover Map were assigned to the residential address for each participant. Cox proportional hazards model was used to analyze the associations between nature exposures and mental disorders of diabetes. Casual mediation analysis was used to quantify indirect effect of air pollution.

RESULTS

During a mean follow-up of 7.55 years, 4513 incident mental disorders cases were identified, including 2952 depressive disorders and 1209 anxiety disorders. Participants with natural environment at 300 m buffer in the second and third tertiles had 7% (HR = 0.93, 95%CI: 0.86-0.99) and 12% (HR = 0.88, 95%CI: 0.82-0.94) lower risks of incident mental disorders compared with those in the first tertile, respectively. The risk of mental disorders incidence among diabetes patients will decrease by 13% when exposed to the third tertile of garden space at 300 m buffer. The natural environment and garden space individually prevented 6.65% and 10.18% of mental disorders incidents among diabetes patients. The risk of incident mental disorders was statistically decreased when exposed to the third tertile of green space at 1000 m buffer (HR = 0.84, 95% CI: 0.78-0.90). Protective effects of three nature exposures against depressive and anxiety disorders in diabetes patients were also observed. Air pollution, particularly nitrogen dioxide, nitrogen oxides, and fine particulate matter, significantly contributed to the associations between nature exposures and mental disorders, mediating 48.3%, 29.2%, and 62.4% of the associations, respectively.

CONCLUSIONS

Residential green and garden space and the natural environment could mitigate mental disorders risk in diabetes patients, with air pollution playing a vital mediator. This highlights the potential for local governments to enhance the sustainability of such interventions, grounded in public health and urban planning, through strategic planning initiatives.

Higher magnesium depletion score increases the risk of all‑cause and cardiovascular mortality in US adults with diabetes

BACKGROUND

Both dietary magnesium and serum magnesium are associated with the prognosis of diabetic patients. However, the impact of the magnesium depletion score (MDS), which assesses systemic magnesium deficiency, on the prognosis of diabetic patients remains unclear. This cohort study aims to explore the potential association between the MDS and all-cause and cardiovascular mortality in diabetic patients.

METHODS

In this study, we analyzed data from 5,219 diabetic individuals from National Health and Nutrition Examination Survey (NHANES) 2003-2018. Participant mortality information was sourced from the National Death Index records. MDS was divided into lower MDS (0-1 points), middle MDS (2 points), and higher MDS (3-5 points) groups. Weighted multivariable Cox regression was utilized to explore the potential association between MDS and mortality in diabetic patients. Stratified analyses and sensitivity analyses were employed to validate the robustness of our findings.

RESULTS

Among the 5,219 participants included in this study, 1,212 experienced all-cause mortality, and 348 experienced cardiovascular mortality. Weighted multivariable Cox regression indicated that higher MDS was strongly linked to a heightened risk of mortality in all models, including the fully adjusted model (all-cause mortality: HR = 1.58, 95% CI: 1.20-2.08; cardiovascular mortality: HR = 1.92, 95% CI: 1.28-2.88). In the stratified analysis, we found that the association between MDS and all-cause mortality was stronger among individuals aged <60 years. No significant differences were found in the relationship between MDS and mortality within other subgroups. In the sensitivity analyses, our results remained robust.

CONCLUSIONS

An increase in MDS is significantly correlated with a higher risk of all-cause and cardiovascular mortality in diabetic patients. The risk of all-cause mortality was higher in diabetic patients aged <60. Early monitoring and management of MDS, as well as optimizing magnesium nutritional status, may benefit diabetic patients.

Association of socioeconomic status with diabetic microvascular complications: a UK Biobank prospective cohort study

BACKGROUND

Prior studies on the link between socioeconomic status (SES) and diabetic microvascular complications have been inconclusive. This study aimed to explore whether SES is associated with the risk of diabetic retinopathy (DR), nephropathy (DN) and diabetic peripheral neuropathy (DPN) using large prospective cohort.

METHODS

SES was evaluated using education attainment (individual level), household income (household level), and Townsend deprivation index (TDI, neighborhood level). This study included 28,339 participants without DR, 29,951 without DN and 29,762 without DPN at baseline from the UK Biobank. Weighted Cox proportional hazard models were used to investigate the relationship between SES and the risk of diabetic microvascular complications.

RESULTS

The median follow-ups of the DR, DN and DPN cohorts were 12.95, 12.89 and 13.02 years, respectively. In total, 3,177 (11.2%) participants developed DR, 4,418 (14.8%) developed DN and 1,604 (5.4%) developed DPN. After adjusting for confounders, higher education levels (DN: hazard ratios [HR] = 0.85; 95% CI, 0.82-0.89; P < 0.001; DPN: HR = 0.93; 95% CI, 0.87-1.00; P = 0.040), higher household income (DN: HR = 0.80; 95% CI, 0.75-0.85; P < 0.001; DPN: HR = 0.80; 95% CI, 0.73-0.89; P < 0.001), and lower TDI (DN: HR = 1.19; 95% CI, 1.14-1.23; P < 0.001; DPN: HR = 1.27; 95% CI, 1.19-1.36; P < 0.001) were associated with a lower risk of DN and DPN. In contrast, a lower risk of DR was only related to higher household income (HR = 0.92; 95% CI, 0.87-0.97; P = 0.004) and lower TDI (HR = 1.08; 95% CI, 1.02-1.13; P = 0.004).

CONCLUSIONS

Low SES increases the risk of diabetic microvascular complications, emphasizing the need for equitable medical resource allocation to reduce diabetes-related inequity.

The global, regional, and national burden of type 2 diabetes mellitus attributable to low physical activity from 1990 to 2021: a systematic analysis of the global burden of disease study 2021

BACKGROUND

Low physical activity (LPA) is a leading risk factor for type 2 diabetes mellitus (T2DM). We examine the temporal and spatial trends in the burden of T2DM attributable to LPA at the global, regional, and country scales.

METHODS

Data were obtained from the Global Burden of Disease Study 2021. The numbers of deaths and disability-adjusted life years (DALYs) of LPA-related T2DM, and the corresponding age-standardized mortality rate (ASMR) and age-standardized DALYs rate (ASDR) were compared across regions and countries by age, sex, and sociodemographic index (SDI). The annual percentage changes (EAPCs) in the ASMR or ASDR were calculated to quantify temporal trends from 1990 to 2021. We also quantified the relationship between SDI and the ASMR and ASDR of T2DM attributable to LPA.

RESULTS

Globally, the number of T2DM deaths and DALYs attributable to LPA were approximately 0.15 million and 5.52 million respectively in 2021, which more than doubled compared to 1990. Over the past 32 years, the global EAPCs of ASMR and ASDR were 0.26 (95% CI: 0.20, 0.31) and 0.97 (95% CI: 0.93, 1.02), respectively. The ASMR or ASDR had a reverse U-shaped relationship with the SDI, with the most severe burden observed in the low-middle and middle SDI regions. The age group older than 60 years had the highest rate of DALYs for LPA-related T2DM in 2021, while the 25-44 age group showed the largest increase between 1990 and 2021.

CONCLUSIONS

Over the past 32 years, the global burden of LPA-related T2DM has continued to increase at an alarming rate in almost all countries, particularly in regions with low-middle and middle SDI. Substantial increases in national action are urgently needed to target elder populations especially in low-middle and middle SDI regions, and special efforts should be made to promote physical activity in young adults with LPA.

Latent class analysis of the capacity of countries to manage diabetes and its relationship with diabetes-related deaths and healthcare costs

BACKGROUND

The prevalence of diabetes is escalating globally, underscoring the need for comprehensive evidence to inform health systems in effectively addressing this epidemic. The purpose of this study was to examine the patterns of countries' capacity to manage diabetes using latent class analysis (LCA) and to determine whether the patterns are associated with diabetes-related deaths and healthcare costs.

METHODS

Eight indicators of country-level capacity were drawn from the World Health Organization Global Health Observatory dataset: the widespread availability of hemoglobin A1C (HbA1c) testing, existence of diabetes registry, national diabetes management guidelines, national strategy for diabetes care, blood glucose testing, diabetic retinopathy screening, sulfonylureas, and metformin in the public health sector. We performed LCA of these indicators, testing 1-5 class solutions, and selecting the best model based on Bayesian Information Criteria (BIC), entropy, corrected Akaike Information Criteria (cAIC), as well as theoretical interpretability. Multivariable linear regression was used to assess the association between capacity to manage diabetes (based on the latent class a country belongs) and diabetes-related deaths and healthcare costs.

RESULTS

We included 194 countries in this secondary analysis. Countries were classified into "high capacity" (88.7%) and "limited capacity" (11.3%) countries based on the two-class solution of the LCA (entropy = 0.91, cAIC = 1895.93, BIC = 1862.93). Limited capacity countries were mostly in Africa. Limited capacity countries had significantly higher percentage of their deaths attributable to diabetes (adjusted beta = 1.34; 95% CI: 0.15, 2.53; p = 0.027) compared to high capacity countries even after adjusting for income status and diabetes prevalence.

CONCLUSIONS

Our findings support the report by the Lancet commission on diabetes, which suggests that differences in diabetes outcomes among countries may be explained by variations in the capacity of and investments made in their health systems. Future studies should evaluate initiatives such as the WHO Global Diabetes Compact that are currently underway to improve the capacity of resource-limited countries.

Animal models in biomedical research: Relevance of Drosophila melanogaster

Animal models have become veritable tools in gaining insight into the pathogenesis and progression of several human diseases. These models could range in complexity from Caenorhabditis elegans to non-human primates. With the aid of these animal models, a lot of new knowledge has been gained about several diseases which otherwise would not have been possible. Most times, the utilization of these animal models is predicated on the level of homology they share with humans, which suggests that outcomes of studies using them could be extrapolated to humans. However, this has not always been the case. Drosophila melanogaster is becoming increasingly relevant as preferred model for understanding the biochemical basis of several human diseases. Apart from its relatively short lifespan, high fecundity and ease of rearing, the simplicity of its genome and lower redundancy of its genes when compared with vertebrate models, as well as availability of genetic tool kit for easy manipulation of its genome, have all contributed to its emergence as a valid animal model of human diseases. This review aimed at highlighting the contributions of selected animal models in biomedical research with a focus on the relevance of Drosophila melanogaster in understanding the biochemical basis of some diseases that have continued to plague mankind.

The status of care for youth with type 1 diabetes within and coming from humanitarian crises settings: a narrative review

BACKGROUND

Humanitarian crises bring unique, and potentially growing challenges to people with type 1 diabetes (T1D). We aimed to determine, in youth with T1D (mean age (± 1SD) 0-17.9 years) within and coming from humanitarian crises settings (HCS), the reported prevalence that meet international consensus targets for glycaemic, blood pressure and lipid management, and incidence of severe hypoglycaemia or diabetic ketoacidosis.

METHODS

A narrative review of quantitative data was conducted, using a systematic process. MEDLINE (Ovid), Global Health, Web of Science, Scopus, Embase, CINAHL, APA PsycINFO, Cochrane trials, and the reference lists of eligible records were searched (January 2014-February 2024); ten records covering ten separate studies were retrieved.

RESULTS

Glycaemic management was consistently suboptimal in HCS. However, among individuals coming from HCS, glycaemia varied. Across both groups, data relating to blood pressure, lipids, severe hypoglycaemia or diabetic ketoacidosis were either unavailable or limited.

CONCLUSION

Findings expose the dearth of data relating to defined youth with T1D within and coming from HCS, leaving the status of this population largely uncharacterised. With limited data indicating suboptimal T1D management, there is a pressing need for the development of a consensus guideline on, and core indicators relating to such youth within and coming from HCS, plus monitoring systems and outcome data.

Association of homocysteine and uric acid with type 2 diabetes mellitus: a case-control study

The aim of this study was to examine the association between homocysteine (Hcy), uric acid (UA) and type 2 diabetes mellitus (T2DM), and to explore whether there was an interaction between Hcy and UA in the development of T2DM. A total of 1250 diabetic patients and 1250 non-diabetic controls were included in this case-control study. Binary logistic regression and interaction analysis were used to evaluate the association between Hcy, UA, and T2DM, and the combined effects of Hcy and UA on T2DM, respectively. Plasma Hcy and UA levels were significantly higher in diabetic patients compared to non-diabetic controls (p < 0.001, p = 0.002). Elevated Hcy and UA were risk factors for T2DM. Binary logistic regression analysis showed that compared with the lowest quartile of Hcy and UA, the highest quartile had a significantly increased risk of T2DM (OR = 1.629, 95% CI: 1.303, 2.035 for Hcy; OR = 1.596, 95% CI: 1.277, 1.995 for UA). Stratified analysis suggested a significant association between Hcy and T2DM for those aged < 65 years and males. A significant association between UA and T2DM was found in those aged ≥ 65 years, males, and BMI ≥ 24 kg/m2. No significant interaction was observed between Hcy and UA (p > 0.05). Hcy and UA were risk factors for T2DM. However, there was no interaction between Hcy and UA in the risk of T2DM.

Call to action for clinicians in the South-East Asian regions on primary prevention of diabetes in people with prediabetes- A consensus statement

Primary prevention of diabetes still remains as an unmet challenge in a real world setting. While, translational programmes have been successful in the developed nations, the prevailing social and economic inequities in the low and middle income countries, fail to integrate diabetes prevention into their public health systems. The resulting exponential increase in the prevalence of diabetes and the cost of treatment has put primary prevention in the back seat. As a call to action, an expert group was formed to lay down practical guidelines for clinicians in the South East Asian regions to implement primary prevention programmes at an individual or at a community level. The guideline was developed based on the outcomes of the evidence based prevention programmes conducted in India. This decentralised self-guided approach for primary prevention of diabetes follows a three step implementation process of screening, diagnosis of intermediate hyperglycaemia and design and delivery of personalized interventions. Recommendations provided on dietary intake and physical activity can be tailored by the clinician to suit individual needs. Initiation of pharmacological treatment to achieve desired targets has also been addressed. A personalised approach by the clinician may be effective and offer a sustainable solution to curb the rising epidemic.

Oral Health and Quality of Life in Type 2 Diabetic Patients: Key Findings from a Romanian Study

Background: Diabetes mellitus is associated with various oral health complications that can negatively impact quality of life. Despite evidence of the relationship between diabetes and oral health issues, limited research exists on the perceptions, behaviors, and oral health-related quality of life (OHRQoL) of diabetic patients in Romania. This study aims to evaluate self-reported oral health, knowledge, behaviors, and OHRQoL among diabetic patients in western Romania. Methods: A cross-sectional study was conducted in early 2024 at Pius Brinzeu County Emergency Hospital, Timisoara, involving 121 patients with type 2 diabetes. Data were collected using self-administered questionnaires that assessed oral health status, behaviors, and OHRQoL, with the OHIP-14 instrument employed for quality-of-life measurement. Statistical analyses included descriptive statistics, multiple linear regression, and correlation analyses to identify the predictors of oral health knowledge and OHRQoL. Results: Participants (mean age: 63.24 years; 52.1% female; 60.5% urban residents) reported significant oral health challenges. Over half (56.2%) did not visit a dentist regularly, with financial constraints identified as the primary barrier (23.5%). Oral hygiene practices were suboptimal: only 38.0% brushed twice daily, while 78.5% used fluoride toothpaste. Auxiliary hygiene tools, such as mouthwash and toothpicks, were rarely used (13.22% and 11.57%, respectively). Regression analyses identified the significant predictors of oral health knowledge, including tooth mobility (β = 0.33, p < 0.01) and brushing frequency (β = -0.18, p < 0.05). The mean OHIP-14 score (0.55) indicated a moderate impact on OHRQoL, with domains such as psychological discomfort and social disability revealing nuanced challenges. Conclusions: Diabetic patients in Romania face oral health challenges and care barriers, emphasizing the need for preventive strategies, oral health education, and integrated diabetes care. Addressing these gaps can improve oral health outcomes and overall quality of life in this vulnerable population.

Metabolic Sequelae and Quality of Life in Early Post-Treatment Period in Adolescents with Hodgkin Lymphoma

Background/Objectives: The long-term consequences of intensive treatment for Hodgkin lymphoma (HL), including metabolic syndrome (MetS) and cardiovascular diseases, but also deteriorated quality of life (QoL), are present in many survivors of childhood HL. Methods: Adolescents and young adults diagnosed with HL who continued the follow-up after successful treatment for HL were included. Anthropometric parameters, body composition, laboratory data, blood pressure values, compliance to the Mediterranean diet (MD), QoL and lifestyle habits were evaluated at the follow-up. Available data were also extracted retrospectively at the time of diagnosis. The primary objective was to determine metabolic sequelae in the early post-treatment period in adolescents treated for HL. Additionally, QoL and compliance with MD were explored, and the correlation of MetS with QoL was investigated. Results: Sixty percent of patients had at least one risk factor for metabolic syndrome, with obesity/abdominal obesity, high blood pressure and low HDL being most commonly observed, present in 66.7%, 44.4% and 44.4% of patients, respectively. The number of obese patients increased from 6.3% at the diagnosis to 31.3% at the follow-up. The majority of patients (53.3%) had low adherence to the MD. Participants had comparable quality-of-life domains to those of the healthy population at the follow-up. The physical health domain of QoL was positively correlated with compliance to the MD in young adults (r = 0.8, p = 0.032) and negatively correlated with obesity/overweight in adolescents (r = -0.85, p = 0.008). Conclusions: Healthy lifestyle choices can impact not only the metabolic health of survivors but also their quality of life, and therefore should be encouraged in these patients.

New exploration on pathogenesis and early diagnosis of gestational diabetes

Gestational diabetes mellitus (GDM) refers to varying degrees of abnormal glucose metabolism that occur during pregnancy and excludes patients previously diagnosed with diabetes. GDM is a unique among the four subtypes of diabetes classified by the international World Health Organization standards. Although GDM patients constitute a small proportion of the total number of diabetes cases, the incidence of GDM has risen significantly over the past decade, posing substantial risk to pregnant women and infants. Therefore, it warrants considerable attention. The pathogenesis of GDM is generally considered to resemble that of type II diabetes, though it may have distinct characteristics. Analyzing blood biochemical proteins in the context of GDM can help elucidate its pathogenesis, thereby facilitating more effective prevention and management strategies. This article reviews this critical clinical issue to enhance the medical community's sufficient understanding of GDM.

Diabetes in China: epidemiology, pathophysiology and multi-omics

Although diabetes is now a global epidemic, China has the highest number of affected people, presenting profound public health and socioeconomic challenges. In China, rapid ecological and lifestyle shifts have dramatically altered diabetes epidemiology and risk factors. In this Review, we summarize the epidemiological trends and the impact of traditional and emerging risk factors on Chinese diabetes prevalence. We also explore recent genetic, metagenomic and metabolomic studies of diabetes in Chinese, highlighting their role in pathogenesis and clinical management. Although heterogeneity across these multidimensional areas poses major analytic challenges in classifying patterns or features, they have also provided an opportunity to increase the accuracy and specificity of diagnosis for personalized treatment and prevention. National strategies and ongoing research are essential for improving diabetes detection, prevention and control, and for personalizing care to alleviate societal impacts and maintain quality of life.

Monocyte-lymphocyte ratio predicts cardiovascular diseases death in individuals with type 2 diabetes

PURPOSE

Previous studies have shown higher cardiovascular mortality risk with higher monocyte-lymphocyte ratio levels in general population. However, the levels of oxidative stress in individuals with type 2 diabetes are higher than those in the general population, which may affect the link between monocyte-to-lymphocyte ratio and cardiovascular disease deaths. And the association between the monocyte-to-lymphocyte ratio and mortality risk in people with type 2 diabetes still be unknown. This study aimed to investigate the prognostic significance of monocyte-to-lymphocyte ratio in type 2 diabetes.

METHODS

This analysis involved 2,954 individuals with type 2 diabetes from the National Health and Nutrition Examination Survey 1999-2010. The National Death Index records through December 31, 2019, was used to determine all-cause and cardiovascular mortality. The prognostic roles were determined using Cox regression models, restricted cubic spline analysis, and time-dependent receiver operating characteristic curve analysis.

RESULTS

During an average follow-up period of 12.4 years, a total of 1,007 deaths occurred, while 252 were due to cardiovascular disease. An elevated monocyte-to-lymphocyte ratio level exhibited a significant dose-response relationship with an increased risk of all-cause mortality (1.34 [95% CI 1.12, 1.60] for all-cause mortality [P trend = 0.001]). The multivariable-adjusted HR was 1.81 (95% CI 1.25, 2.63) (P trend = 0.001) for cardiovascular mortality indicating a U-shaped relationship (P nonlinear = 0.013).

CONCLUSIONS

The results of this study indicate a U-shaped relationship between the monocyte-to-lymphocyte ratio and cardiovascular mortality in individuals with diabetes. Both very low and high monocyte-to-lymphocyte ratio monocyte-to-lymphocyte ratio values were found to be associated with increased cardiovascular mortality risk.

Temporal incremental healthcare costs associated with complications in Hong Kong Chinese patients with type 2 diabetes: A prospective study in Joint Asia diabetes evaluation (JADE) Register (2007-2019)

OBJECTIVE

We examined incremental healthcare costs (inpatient and outpatient) related to complications in Chinese patients with type 2 diabetes (T2D) during the year of occurrence and post-event years, utilizing the Joint Asia Diabetes Evaluation (JADE) Register cohort of Hong Kong Chinese patients with T2D between 2007 and 2019.

RESEARCH DESIGN AND METHODS

19,440 patients with T2D underwent structured evaluation utilizing the JADE platform with clinical outcomes data retrieved from territory-wide electronic medical records including inpatient, outpatient and emergency care. Two-part model was adopted to account for skewed healthcare costs distribution. Incremental healthcare costs associated with nine non-fatal diabetes complications and all-cause death were estimated, adjusted for demographic, clinical, lifestyle factors and comorbidities.

RESULTS

In this prospective cohort [mean ± SD age:59.9 ± 11.9 years, 56.6 % men, duration of diabetes:7.3 ± 7.5 years, HbA1C:7.5 ± 1.6 %] observed for 7 (interquartile range:4-9) years (142,132 patient-years), the mean annual healthcare costs, mainly due to inpatient cost, were USD$2,990 ± 9,960. Lower extremity amputation (LEA) (USD$31,302; 95 %CI: 25,706-37,004), hemorrhagic stroke (USD$21,164; 17,680-24,626), ischemic stroke (USD$17,976; $15,937-20,352) and end-stage disease (ESRD) (USD$14,774; 13,405-16,250) in the year of event incurred the highest cost. Residual healthcare costs in the post-event years were highest for ESRD, LEA, haemorrhagic stroke and incident cancer.

CONCLUSION

These comprehensive temporal healthcare cost estimates for diabetes-related complications allows the performance of long-term, patient-level, cost-effectiveness analyses on T2D prevention and treatment strategies relevant to an Asian and possibly global contexts. These may inform decision-makers on resource allocation aimed at reducing the burden of T2D and chronic diseases.

Association between sex, age, temporal trends, and glycemic control of 221,769 adults with type 2 diabetes in a multi-ethnic middle-income Asian country

AIMS

We examined the association between sex, age, temporal trends, and glycemic control among people with type 2 diabetes (T2D) in a multi-ethnic middle-income Asian country.

METHODS

Using the National Diabetes Registry (2011-2020), we analyzed data for 221,769 adult Malaysians with T2D.We used quantile regressions to estimate the association of sex, age, and their interaction on HbA1clevels at the 5th, 50th, and 95thpercentile and logistic regression to estimate the odds of good control (HbA1c < 7 %).

RESULTS

The participants were Malays (61·8 %), females (59·3 %), and aged 50-69 years (63·5 %). The median (interquartile range [IQR]) HbA1c was 7·2 % (6·4 %, 8·9 %) for males and 7·3 % (6·4 %, 9·0 %) for females. The prevalence of good control was 42·8 % for males and 41·8 % for females. Glycemic control improved from 2011 to 2020 for both females and males above 40. Control significantly improved with age among both sexes. However, females had increasingly better control than men with increasing age (PHeterogeneity < 0.001). The adjusted odds (95 % CI) of good control comparing females to males at 30, 50, and 70 years was 0·90 (0·81, 0·99), 0·93 (0·90, 0·97), and 1·12 (1·08, 1·16) respectively.

CONCLUSIONS

A more aggressive approach to type 2 diabetes management is needed for both sexes, targeting especially the younger age groups, to improve glycemic control and reduce diabetes burden.

Association between the triglyceride to high-density lipoprotein cholesterol ratio and type 2 diabetes mellitus in non-alcoholic fatty liver disease

This study evaluated the ability of the triglyceride (TG) to high-density lipoprotein cholesterol (TG/HDL-C) ratio to identify individuals at risk of type 2 diabetes mellitus (T2DM) in the non-alcoholic fatty liver disease (NAFLD) population. We retrospectively studied 4,769 patients with NAFLD from the Affiliated Hospital of Hangzhou Normal University (2020-2023). Binary logistic regression models were used to evaluate the association between the TG/HDL-C ratio and lipid parameters with T2DM. TG/HDL-C ratio was positively associated with T2DM in patients with NAFLD, with an odds ratio (OR) of 2.72 (95% confidence interval, 2.23-3.31, p < 0.001) for T2DM in the highest TG/HDL-C ratio quartile compared with the lowest one after adjusting for known confounders. The OR for the TG/HDL-C ratio had a stronger predictive value than those of TG, total cholesterol, HDL-C, and low-density lipoprotein cholesterol, indicating that the TG/HDL-C ratio could be a better discriminator of T2DM. The TG/HDL-C ratio better identifies potential risks of T2DM in individuals with NAFLD than individual lipid parameters. Therefore, clinicians should pay attention to individuals with high TG and low HDL-C levels during T2DM risk assessment in NAFLD cohorts.

The role of m6A modification in cardiovascular disease: A systematic review and integrative analysis

BACKGROUND AND AIMS

This study focused on the recent advancements in understanding the association between N6-methyladenosine (m6A) modification and cardiovascular disease (CVD).

METHODS

The potential mechanisms of m6A related to CVD were summarized by literature review. Associations between m6A levels and CVD were explored across 8 electronic databases: PubMed, Embase, Web of Science, Cochrane Library, Sinomed, Wan Fang, CNKI, and Vip. Standard mean difference (SMD) and 95 % confidence interval (95 % CI) were calculated to assess the total effect in integrated analysis.

RESULTS

The systematic review summarized previous studies on the association between m6A modification and CVD, highlighting the potential role of m6A in CVD progression. A total of 11 studies were included for integrative analysis. The mean m6A levels were significantly higher in CVD than those in normal controls (SMD = 1.86, 95 % CI: 0.16-3.56, P < 0.01).

CONCLUSIONS

This systematic review provided new targets for early detection and treatment for CVD. And the integrated analysis showed that increased level of m6A was associated with CVD.

Innovations in Diabetes Management for Pregnant Women: Artificial Intelligence and the Internet of Medical Things

Pregnancies impacted by diabetes face the compounded challenge of strict glycemic control with mounting insulin resistance as the pregnancy progresses. New technological advances, including artificial intelligence (AI) and the Internet of Medical Things (IoMT), are revolutionizing health care delivery by providing innovative solutions for diabetes care during pregnancy. Together, AI and the IoMT are a multibillion-dollar industry that integrates advanced medical devices and sensors into a connected network that enables continuous monitoring of glucose levels. AI-driven clinical decision support systems (CDSSs) can predict glucose trends and provide tailored evidence-based treatments with real-time adjustments as insulin resistance changes with placental growth. Additionally, mobile health (mHealth) applications facilitate patient education and self-management through real-time tracking of diet, physical activity, and glucose levels. Remote monitoring capabilities are particularly beneficial for pregnant persons with diabetes as they extend quality care to underserved populations and reduce the need for frequent in-person visits. This high-resolution monitoring allows physicians and patients access to an unprecedented wealth of data to make more informed decisions based on real-time data, reducing complications for both the mother and fetus. These technologies can potentially improve maternal and fetal outcomes by enabling timely, individualized interventions based on personalized health data. While AI and IoMT offer significant promise in enhancing diabetes care for improved maternal and fetal outcomes, their implementation must address challenges such as data security, cost-effectiveness, and preserving the essential patient-provider relationship. KEY POINTS: · The IoMT expands how patients interact with their health care.. · AI has widespread application in the care of pregnancies complicated by diabetes.. · A need for validation and black-box methodologies challenges the application of AI-based tools.. · As research in AI grows, considerations for data privacy and ethical dilemmas will be required..

Employing Machine Learning Models to Predict Potential α-Glucosidase Inhibitory Plant Secondary Metabolites Targeting Type-2 Diabetes and Their In Vitro Validation

The need for new antidiabetic drugs is evident, considering the ongoing global burden of type-2 diabetes mellitus despite notable progress in drug discovery from laboratory research to clinical application. This study aimed to build machine learning (ML) models to predict potential α-glucosidase inhibitors based on the data set comprising over 537 reported plant secondary metabolite (PSM) α-glucosidase inhibitors. We assessed 35 ML models by using seven different fingerprints. The Random forest with the RDKit fingerprint was the best-performing model, with an accuracy (ACC) of 83.74% and an area under the ROC curve (AUC) of 0.803. The resulting robust ML model encompasses all reported α-glucosidase inhibitory PSMs. The model was employed to predict potential α-glucosidase inhibitors from an in-house 5810 PSM database. The model identified 965 PSMs with a prediction activity ≥0.90 for α-glucosidase inhibition. Twenty-four predicted PSMs were subjected to in vitro assay, and 13 were found to inhibit α-glucosidase with IC50 ranging from 0.63 to 7 mg/mL. Among them, seven compounds recorded IC50 values less than the standard drug acarbose and were investigated further to have optimal drug-likeness and medicinal chemistry characteristics. The ML model and in vitro experiments have identified nervonic acid as a promising α-glucosidase inhibitor. This compound should be further investigated for its potential integration into the diabetes treatment system.

Rising mortality rates linked to type-2 diabetes and obesity in the United States: An observational analysis from 1999 to 2022

BACKGROUND

The prevalence of type 2 diabetes (T2D) and obesity are increasing in the United States. However, population-level data for mortality trends due to T2D and obesity are limited. This study aims to assess these death trends among adults in the United States categorized by sex, race, and geographical location.

METHODS

We queried the CDC-WONDER database for multiple cause of death data of adults aged ≥25 years. The crude mortality rates (CMR), age-adjusted mortality rates (AAMRs), annual percent change (APC), and the average APC (AAPC) along with a 95% confidence interval (CI) were analyzed.

RESULTS

From 1999 to 2022, a total of 88,597 T2DM and obesity-related deaths were recorded in the United States. The AAMR consistently increased from 1999 to 2017 (APC: 7.64; 95% CI: 1.91-9.96), followed by a marked rise from 2017 to 2022 (APC: 20.13; 95% CI: 12.88-38.57). The AAMR was approximately 3.58 times higher during the COVID-19 pandemic compared to the period from 1999 to 2019. The AAMR for males was consistently greater than that for females. The highest AAMR was observed in non-Hispanic (NH) Blacks or African Americans, followed by NH White, Hispanic or Latino, and other NH populations. Rural areas (AAMR: 1.86, 95% CI: 1.83-1.89) exhibited a greater AAMR than urban regions 1.26 (95% CI: 1.25-1.27).

CONCLUSIONS

Our results indicate a substantial increasing trend of T2D and obesity-related deaths in the United States especially during the COVID-19 pandemic.

Exploring the Potential of Epigallocatechin Gallate in Combating Insulin Resistance and Diabetes

BACKGROUND/OBJECTIVES

In this study, the potential effects are evaluated of epigallocatechin gallate (EGCG) on the prognosis of diabetes and insulin resistance.

METHODS

In an experiment, 35 male Wistar albino rats were used and in the streptozotocin (STZ)-induced diabetic rats, the effects were examined of different doses (50 mg/kg, 100 mg/kg, 200 mg/kg) of EGCG on metabolic parameters associated with diabetes and insulin resistance.

RESULTS

The findings show favorable effects of EGCG on fasting blood glucose levels, insulin secretion, insulin resistance, and beta cell function. In this study, it was observed that EGCG was able to significantly lower fasting blood glucose levels, especially at high doses (200 mg/kg), providing the most significant improvement. Furthermore, EGCG has been found to reduce insulin resistance and improve insulin sensitivity by increasing insulin secretion. When the biochemical parameters of increased insulin secretion are evaluated, it is also observed that it creates clinically significant changes. At doses of 100 mg/kg and 200 mg/kg, EGCG has the potential to help control diabetes by most effectively improving insulin resistance and beta cell function. The study results suggest that EGCG, especially at high doses, is an effective component in the treatment of diabetes and the management of insulin resistance.

CONCLUSIONS

The inclusion of EGCG as a natural flavonoid in medical nutrition therapy may contribute to glycemic control and improve insulin sensitivity in individuals with diabetes. These findings suggest that EGCG may be used as an alternative option in the treatment of diabetes and future studies may further clarify the potential benefits in this area.

Predicting responsiveness to GLP-1 pathway drugs using real-world data

BACKGROUND

Medications targeting the glucagon-like peptide-1 (GLP-1) pathway are an important therapeutic class currently used for the treatment of Type 2 diabetes (T2D). However, there is not enough known about which subgroups of patients would receive the most benefit from these medications.

OBJECTIVE

The goal of this study was to develop a predictive model for patient responsiveness to medications, here collectively called GLP-1 M, that include GLP-1 receptor agonists and dipeptidyl peptidase-4 (DPP4) inhibitors (that normally degrade endogenously-produced GLP-1). Such a model could guide clinicians to consider certain patient characteristics when prescribing second line medications for T2D.

METHODS

We analyzed de-identified electronic health records of 7856 subjects with T2D treated with GLP-1 M drugs at Vanderbilt University Medical Center from 2003-2019. Using common clinical features (including commonly ordered lab tests, demographic information, other T2D medications, and diabetes-associated complications), we compared four different models: logistic regression, LightGBM, artificial neural network (ANN), and support vector classifier (SVC).

RESULTS

Our analysis revealed that the traditional logistic regression model outperforms the other machine learning models, with an area under the Receiver Operating Characteristic curve (auROC) of 0.77.Our model showed that higher pre-treatment HbA1C is a dominant feature for predicting better response to GLP-1 M, while features such as use of thiazolidinediones or sulfonylureas is correlated with poorer response to GLP-1 M, as assessed by lowering of hemoglobin A1C (HbA1C), a standard marker of glycated hemoglobin used for assessing glycemic control in individuals with diabetes. Among female subjects under 40 taking GLP-1 M, the simultaneous use of non-steroidal anti-inflammatory drugs (NSAIDs) was associated with a greater reduction in HbA1C (0.82 ± 1.72% vs 0.28 ± 1.70%, p = 0.008).

CONCLUSION

These findings indicate a thorough analysis of real-world electronic health records could reveal new information to improve treatment decisions for the treatment of T2D. The predictive model developed in this study highlights the importance of considering individual patient characteristics and medication interactions when prescribing GLP-1 M drugs.

Barriers and facilitators in the acquisition of diabetes knowledge among tertiary-care nurses in central and southern Malawi: an exploratory-descriptive qualitative study

BACKGROUND

Numerous studies report low diabetes knowledge among nurses in sub-Saharan Africa. However, little is known about the factors that hinder and promote their acquisition of knowledge on diabetes mellitus. Understanding these factors is a pivotal step towards ensuring that nurses are knowledgeable and competent in the provision of care and education for patients with diabetes mellitus.

METHODS

The study employed an exploratory-descriptive qualitative (EDQ) approach. Participants were identified from two tertiary hospitals. Twenty-six participants were purposively selected from these facilities. Data were collected through focus group discussions and analysis was done using Braun and Clarke's approach to thematic analysis.

RESULTS

The following themes relating to barriers and facilitators in the nurses' acquisition of diabetes knowledge emerged from the study: (a) individual hindrances; (b) organizational drawbacks; (c) personal ways of knowing; (d) organizational factors enhancing knowledge; and (e) suggestions for improving the nurses' knowledge.

CONCLUSIONS

The study brings to light various challenges and opportunities in the acquisition of diabetes knowledge among tertiary-care nurses in Malawi. Given our study results, we believe that cost-effective measures can be utilised to address the barriers to the acquisition of diabetes knowledge among nurses. This is a crucial step towards ensuring that nurses are knowledgeable and competent in the provision of care for patients with diabetes in low-resource countries.

Impact of diabetes mellitus on mortality in pulmonary hypertension: A systematic review and meta-analysis

BACKGROUND

Pulmonary hypertension (PH) is a progressive disease characterized by endothelial dysfunction and vascular remodeling and is a leading cause of mortality worldwide. Although it is independently associated with multiple comorbidities, the impact of diabetes mellitus (DM) on mortality in patients with PH remains uncertain. To address this issue, we conducted a systematic review and meta-analysis to investigate the effect of DM on survival in patients with pulmonary hypertension.

AIM

To investigate the impact of diabetes mellitus on mortality in pulmonary hypertension patients.

METHODS

We conducted a comprehensive search of four major electronic bibliographic databases like PubMed, Google Scholar, Scopus, and Embase, and identified 106 relevant studies, out of 1561 articles, published since the year 2000 for full-text review. Fourteen retrospective and prospective cohort studies that compared survival between patients with DM and those without DM in the context of PH were deemed eligible for inclusion in our meta-analysis. The study was registered on PROSPERO with the identifier CRD42023390232.

RESULTS

A total of 116455 patients with PH were included in the meta-analysis, of whom 41228 suffered from DM and 75227 did not. The results of our meta-analysis indicate an elevated mortality rate among PH patients with diabetes mellitus in comparison to those without DM [odds ratio (OR) = 1.40, 95%CI: 1.15-1.70, P = 0.0006]. The meta-regression analysis unveiled a statistically significant negative association between mean age and effect size (coefficient = -0.036, P value = 0.018). Conversely, a statistically significant positive association was detected between female proportion and effect size (coefficient = 0.000, P value < 0.001).

CONCLUSION

Our meta-analysis, which included approximately 116500 PH patients, revealed that the presence of diabetes mellitus was associated with increased odds of mortality when compared to non-diabetic patients. The meta-regression analysis indicates that studies with older participants and lower proportions of females tend to exhibit smaller effect sizes. Clinically, these findings underscore the importance of incorporating diabetes status into the risk stratification of patients with PH with more aggressive monitoring and early intervention to improve prognosis potentially.

Exploring the link between dietary thiamine and type 2 diabetes mellitus risk in US adults aged 45 years and older: Insights from a cross-sectional investigation

The correlation between dietary thiamine intake and the incidence of type 2 diabetes mellitus (T2DM) remains a subject of controversy within the academic community. While numerous studies have attempted to elucidate this relationship, conclusive evidence remains elusive. A survey of U.S. adults aged 45 years and older examined the supposed association between dietary thiamine intake and the risk of developing T2DM with the aim of clarifying the potential link. In this cross-sectional investigation, we evaluated dietary thiamine intake data sourced from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2020. Using weighted multivariate logistic regression analysis, we assessed the potential risk of T2DM associated with varying levels of thiamine intake. The observation of nonlinear relationships was accomplished by fitting smoothed curves. This study ultimately included 15,231 participants aged 45 years and older. Dietary thiamine intake (after log transformation) was inversely related to T2DM after accounting for potential confounders (OR = 0.86, 95% CI: 0.78, 0.95). An increase in dietary thiamine intake by one unit is associated with a 14% reduction in the risk of T2DM. Furthermore, our analysis revealed that the associations between dietary thiamine intake and T2DM risk, such as age, gender, race, smoking status, alcohol use, hypertension, body mass index (BMI), and cardiovascular disease (CVD), remained consistent across multiple stratified subgroups (p values >0.05). According to this study, dietary thiamine intake may be associated with the incidence of T2DM among US residents aged 45 years and older. Appropriate increases in dietary thiamine intake are expected to offer substantial preventive potential for T2DM and significant clinical implications.

Hydrogel Microsphere-Encapsulated Bimetallic Nanozyme for Promoting Diabetic Bone Regeneration via Glucose Consumption and ROS Scavenging

The healing of bone defects among diabetic patients presents a critical challenge due to the pathological microenvironment, characterized by hyperglycemia, excessive reactive oxygen species (ROS) production, and inflammation. Herein, multifunctional composite microspheres, termed GMAP are developed, using a microfluidic technique by incorporating Au@Pt nanoparticles (NPs) and GelMA hydrogel to modulate the diabetic microenvironment for promoting bone regeneration. The GMAP enables the sustained release of Au@Pt NPs, which function as bimetallic nanozymes with dual enzyme-like activities involving glucose oxidase and catalase. The synergistic effect allows for efficient glucose consumption and ROS elimination concurrently. Thus, the GMAP effectively protects the proliferation of bone marrow mesenchymal stem cells (BMSCs) under adverse high-glucose conditions. Furthermore, it also promotes the osteogenic differentiation and paracrine capabilities of BMSCs, and subsequently inhibits inflammation and enhances angiogenesis. In vivo diabetic rats bone defect model, it is demonstrated that GMAP microspheres significantly improve bone regeneration, as verified by micro-computed tomography and histological examinations. This study provides a novel strategy for bone regeneration by modulating the diabetic microenvironment, presenting a promising approach for addressing the complex challenges associated with bone healing in diabetic patients.

Long-term prognostic effect of serum albumin concentration in diabetic patients with stable coronary artery disease: A multicenter cohort study

BACKGROUND

Diabetes and insulin resistance alter the physiological state of serum albumin (SA), which is a prognostic marker for stable coronary artery disease (CAD). However, whether the SA concentration is associated with long-term cardiovascular (CV) outcomes in diabetic patients with stable CAD remains unclear.

METHODS

In total, 1148 patients were retrospectively identified from a nationwide multicenter cohort study on patients with stable CAD. They were categorized into four groups according to their diabetes mellitus (DM) status and SA concentration (cutoff: 4 g/dL).

RESULTS

The patients' mean age was 62.5 years, and 83.5% were male. Of the total patients, 405 were included in group 1 (SA ≥4/non-DM), 322 in group 2 (SA <4/non-DM), 201 in group 3 (SA ≥4/DM), and 220 in group 4 (SA <4/DM). Group 4 had the oldest age and a higher prevalence of prior myocardial infarction and stroke. During the median 4.5-year follow-up (interquartile range: 1.5-6.7 years), the highest and lowest survival rates in terms of all-cause and CV mortality were found in groups 1 and 4, respectively. However, no prognostic differences were noted in nonfatal stroke and myocardial infarction among the groups. The data were consistent after covariate adjustment. Using group 1 as the reference, hazard ratio (HRs) (95% CIs) for all-cause mortality in groups 2, 3, and 4 were 3.64 (1.22-10.83), 3.26 (0.95-11.33), and 5.74 (1.92-16.95), respectively, and those for CV mortality were 2.8 (0.57-13.67), 2.62 (0.40-17.28), and 6.15 (1.32-28.58), respectively.

CONCLUSION

In diabetic patients with stable CAD, a low SA concentration (<4 g/dL) was associated with increased long-term mortality regardless of all-cause or CV reasons but not nonfatal CV events.

Impact of Remnant Cholesterol on Cardiovascular Risk in Diabetes

PURPOSE OF REVIEW

Individuals with diabetes face increased risk of atherosclerotic cardiovascular disease (ASCVD), in part due to hyperlipidemia. Even after LDL cholesterol-lowering, residual ASCVD risk persists, part of which may be attributed to elevated remnant cholesterol. We describe the impact of elevated remnant cholesterol on ASCVD risk in diabetes.

RECENT FINDINGS

Preclinical, observational, and Mendelian randomization studies robustly suggest that elevated remnant cholesterol causally increases risk of ASCVD, suggesting remnant cholesterol could be a treatment target. However, the results of recent clinical trials of omega-3 fatty acids and fibrates, which lower levels of remnant cholesterol in individuals with diabetes, are conflicting in terms of ASCVD prevention. This is likely partly due to neutral effects of these drugs on the total level of apolipoprotein B(apoB)-containing lipoproteins. Elevated remnant cholesterol remains a likely cause of ASCVD in diabetes. Remnant cholesterol-lowering therapies should also lower apoB levels to reduce risk of ASCVD.

The ratio of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol is associated with diabetic kidney disease: A cross-sectional study

Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio (NHHR) is a significant indicator of atherosclerosis. However, its association with diabetic kidney disease (DKD) remains unclear. This study aims to explore the relationship between NHHR and the prevalence of DKD among the U.S. adults using data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2020. Participants were selected based on the stringent inclusion and exclusion criteria. We utilized single-factor analysis, multivariate logistic regression, and smooth curve fitting to investigate the relationship between NHHR and DKD. Our study included 8,329 diabetic individuals, who were categorized into DKD and non-DKD groups based on the presence or absence of kidney damage. A significant difference in NHHR was observed between these groups. After adjusting for potential confounders, we found that NHHR was positively associated with the prevalence of DKD. Specifically, each one-unit increase in NHHR corresponded to a 6% rise in the prevalence of DKD, with this association remaining significant across stratified NHHR values. Threshold effect analysis revealed an inflection point at an NHHR of 1.75, beyond this point, each unit increase in NHHR was associated with a 7% increase in the prevalence of DKD. Subgroup analysis confirmed the robustness of these findings. Our study demonstrates a significant correlation between NHHR and DKD prevalence, suggesting that monitoring NHHR could be an effective strategy for reducing DKD prevalence.

Effect of Coenzyme Q10 Supplementation on Lipid and Glycaemic Profiles: An Umbrella Review

Coenzyme Q10 (CoQ10) has been suggested as an adjunct therapy for endocrine and metabolic disorders. The aim of this study was to synthesise the evidence for the effect of CoQ10 supplementation on lipid and/or glycaemic alterations, including total cholesterol (TC), LDL- and HDL-cholesterol (LDL-C and HDL-C), lipoprotein a, fasting blood glucose (FBG), haemoglobin A1c (HbA1c), fasting insulin and Homeostatic Model Assessment of Insulin Resistance. A systematic search was conducted in Medline, Scopus, Web of Science and the Cochrane Library from their inception to July 2024. Meta-analyses that evaluated the effect of CoQ10 on the lipid or glycaemic profiles were included. Results were expressed as mean difference (MD) or standardised mean difference (SMD). CoQ10 showed an effect on the glycaemic profile, especially on FBG (MD from -11.21 to -5.2 mg/dL, SMD from -2.04 to -0.17) and on HbA1c (MD from -1.83 to -0.12%, SMD of -0.30). CoQ10 may also have an effect on the lipid profile, such as TC, triglycerides, HDL-C and even LDL-C, although the inconsistency of the results was somewhat higher. Supplementation with CoQ10 may be beneficial, especially in populations with diabetes mellitus or other endocrine and metabolic disorders. It could also have some effect on lipid parameters, which, together with the above, may reduce cardiovascular morbidity and mortality, although this is something that needs further research.

The systemic immune-inflammation index and systemic inflammation response index are useful for predicting mortality in patients with diabetic nephropathy

BACKGROUND

This study investigated the correlation between the systemic immune-inflammation index (SII) and the systemic inflammation response index (SIRI) and all-cause, cardiovascular, and kidney disease mortality in patients with diabetic nephropathy (DN). It aimed to provide a new predictive assessment tool for the clinic and a scientific basis for managing inflammation in DN.

METHODS

The data utilized in this study were obtained from the National Health and Nutrition Examination Survey (NHANES) database, spanning 1999 to 2018. A total of 2641 patients diagnosed with DN were included in the analysis. The association between SII and SIRI levels and mortality in patients with DN was investigated using multivariate Cox proportional risk regression models. These relationships were further validated by Kaplan-Meier survival curves and restricted cubic spline (RCS) modeling, and subgroup analyses were performed to explore the heterogeneity among different characteristic subgroups.

RESULTS

The multivariate Cox regression analysis indicated that SII and SIRI levels were independently associated with all-cause mortality and cardiovascular mortality in patients with DN. SIRI levels were found to be an independently associated factor with kidney disease mortality in patients with DN. Patients in the highest quartile of SII and SIRI exhibited a 1.49-fold and 1.62-fold increased risk of all-cause mortality, respectively, compared to patients in the lowest quartile. The risk of cardiovascular mortality was 1.31 and 1.73 times higher than that in patients in the lowest quartile, respectively. The risk of kidney disease mortality in patients in the highest quartile of SIRI was 2.74 times higher than that in patients in the lowest quartile. Kaplan-Meier survival curve and RCS analyses further confirmed the positive association between SII and SIRI and mortality and a significant nonlinear relationship between SII and all-cause mortality. The SII and SIRI indices offer incremental value in model predictive power for mortality in patients with DN. Subgroup analyses demonstrated that the correlation between SII and SIRI and mortality risk was stable but heterogeneous across different subgroups.

CONCLUSION

SII and SIRI can be utilized as biomarkers for forecasting the likelihood of all-cause and cardiovascular mortality in patients with DN.

4-Hexylresorcinol Enhances Glut4 Expression and Glucose Homeostasis via AMPK Activation and Histone H3 Acetylation

This study investigates the potential of 4-hexylresorcinol (4HR) as a novel antidiabetic agent by assessing its effects on blood glucose levels, Glut4 expression, AMPK phosphorylation, and Histone H3 acetylation (Ac-H3) in the liver. In vitro experiments utilized Huh7 and HepG2 cells treated with varying concentrations of 4HR. Glut4, p-AMPK, and Ac-H3 expression levels were quantified via Western blotting. Additionally, GAPDH activity and glucose uptake were evaluated. In vivo experiments employed streptozotocin (STZ)-induced diabetic rats, with or without 4HR treatment, monitoring blood glucose, body weight, and hepatic levels of Glut4, p-AMPK, and Ac-H3. In vitro, 4HR treatment increased GAPDH activity and glucose uptake. Elevated Glut4, p-AMPK, and Ac-H3 levels were observed 8 h after 4HR administration. Inhibition of p-AMPK using compound C reduced 4HR-mediated Glut4 expression. In STZ-induced diabetic rats, 4HR significantly upregulated Glut4, p-AMPK, and Ac-H3 expression in the liver. Periodic 4HR injections mitigated weight loss and lowered blood glucose levels in STZ-injected animals. Histological analysis revealed increased glycogen storage in hepatocytes of the 4HR-treated group. Overall, 4HR enhanced Glut4 expression through upregulation of AMPK activity and histone H3 acetylation in vitro and in vivo, improving hepatic glucose homeostasis and suggesting potential as a candidate for diabetes treatment.

Income-Related Disparities in Mortality Among Young Adults With Type 2 Diabetes

Importance

Previous studies have indicated an inverse association between income and mortality. However, differences in health outcomes according to the income level of young adults with type 2 diabetes (T2D) compared with older adults with T2D have not been elucidated.

Objective

To estimate the overall and cause-specific mortality risks among patients with T2D according to income and age.

Design, Setting, and Participants

This retrospective nationwide cohort study in South Korea included adults aged 20 to 79 years who were diagnosed with T2D between January 1, 2008, and December 31, 2013, and followed up until December 31, 2019, and age- and sex-matched controls without diabetes. Data were analyzed between January 1, 2023, and August 27, 2024.

Main Outcomes and Measures

Risks of all-cause, cardiovascular, and cancer mortality were estimated according to participants' income, which was categorized into 3 levels (low, middle, and high) based on the health insurance premium. Logistic regression analyses and Cox proportional hazard regression analyses were performed according to age groups (20-39, 40-59, and 60-79 years).

Results

A total of 1 240 780 adults (604 975 patients with T2D and 635 805 age- and sex-matched controls without diabetes) were included in the analyses. Their mean (SD) age was 56.9 (11.8) years, and 626 176 (50.5%) were men. Overall, the risk of mortality increased with lower income among patients with T2D, as well as in comparison with controls without diabetes. There was an inverse association between income and mortality risk in younger individuals (adjusted hazard ratios of all-cause mortality in the low income vs high income subgroups with T2D were 2.88 [95% CI, 2.25-3.69] in those aged 20 to 39 years, 1.90 [95% CI, 1.81-2.00] in those aged 40 to 59 years, and 1.26 [95% CI, 1.23-1.29] in those aged 60 to 79 years; P < .001 for comparing risk ratios between age groups). The pattern of income-related disparities in younger individuals was observed in cardiovascular mortality but less in cancer mortality.

Conclusions and Relevance

In this cohort study of 1 240 780 individuals aged 20 to 79 years, the risk of mortality with low income was most prominent among individuals with T2D aged 20 to 39 years. These findings highlight the need for socioeconomic support to reduce income-related health disparities in younger individuals.

Increased FT3/FT4 ratio in a certain range is associated with decreased glycemic variability in patients with type 2 diabetes

Thyroid hormone (TH) plays a crucial role in regulating glucose metabolism. However, the potential impact of the FT3/FT4 ratio, which reflects peripheral sensitivity to thyroid hormones, on glycemic variability in patients with type 2 diabetes (T2DM), has not been previously reported. To investigate the correlation between the FT3/FT4 ratio and glycemic variability in individuals with T2DM. In this retrospective analysis, a total of 468 inpatients with T2DM underwent continuous glucose monitoring (CGM) systems for a period of 6-14 days. Baseline clinical characteristics, laboratory tests, and CGM parameters were documented to investigate the correlation between FT3/FT4 ratio and CGM parameters. The levels of HBA, MG, SD, CV, LAGE, MODD and TAR2Scale were all higher in FT3/FT4Q1 compared with FT3/FT4Q2, FT3/FT4Q3 and FT3/FT4Q4 (all P < 0.01). Additionally, TIR was lower in FT3/FT4Q1 compared with the other quartiles (P < 0.01). Smooth curve fitting and saturation effect analysis revealed that there are curve-like relationships between the FT3/FT4 ratio and SD, MAGE, MODD and TAR2Scale. The inflection points of the fitted curves were found to be at FT3/FT4 = 0.279, 0.237, 0.253 and 0.282 respectively (all P < 0.05). Prior to the inflection point, the FT3/FT4 ratio was negatively related to SD, MAGE, MODD and TAR2Scale (all P < 0.05). Furthermore, The FT3/FT4 ratio exhibits a negative linear correlation with HBA and MG, while demonstrating a positive linear relationship with TIR (all P < 0.05). Binary logistic regression demonstrated that the FT3/FT4 ratio was independently related to HBA (P = 0.001), MG (P = 0.01), TAR2Scale (P = 0.003), LAGE (P = 0.014) and MAGE (P < 0.001). The increased FT3/FT4 ratio within a certain range (FT3/FT4 ≤ 0.282) is associated with decreased blood glucose variability and increased TIR. The FT3/FT4 ratio may act as a potential independent protective factor for glycemic fluctuation and glycemic control in patients with T2DM when it increases within a specific range.

Associations of triglyceride-glucose index cumulative exposure and variability with the transitions from normoglycaemia to prediabetes and prediabetes to diabetes: Insights from a cohort study

AIM

This study aimed to investigate the separate and joint associations of triglyceride-glucose (TyG) index accumulation and variability with prediabetes and diabetes risk.

METHODS

Health check-up participants who underwent 3 sequential health examinations during 2012-2016 and were followed up from 2017 to 2021 were enrolled and categorized into two subcohorts: (a) progression from normoglycaemia to prediabetes subcohort (n = 9373) and (b) progression from prediabetes to diabetes subcohort (n = 4563). Cumulative TyG (cumTyG) and TyG variability from Exams 1-3 were the exposures of interest in our study. The outcomes were newly incident prediabetes or diabetes.

RESULTS

In the prediabetes development subcohort, 2,074 participants developed prediabetes over a 2.42-year follow-up. Higher cumTyG (HR, 2.02; 95 % CI, 1.70-2.41), but not greater TyG variability alone, was significantly associated with increased prediabetes risk. In the diabetes development subcohort, 379 participants developed diabetes over a 3.0-year follow-up. Higher cumTyG (HR, 3.54; 95 % CI, 2.29-5.46), but not greater TyG variability alone, was significantly associated with increased diabetes risk. The "cumTyG+variability" combination had the highest predictive value for prediabetes and diabetes beyond a single baseline TyG measurement.

CONCLUSION

Higher cumTyG exposure independently predicts prediabetes and diabetes incidence. Coexisting cumTyG and variability could further yield incrementally greater risks.

Associations of Diabetes and Prediabetes With Mortality and Life Expectancy in China: A National Study

OBJECTIVE

To investigate the excess mortality and life-years lost associated with diabetes and prediabetes in China.

RESEARCH DESIGN AND METHODS

This national cohort study enrolled 135,405 participants aged 18 years or older from the general population in China. Cox proportional hazards regression models were used to estimate adjusted mortality rate ratio (RR). The life table method was used to estimate life expectancy.

RESULTS

Among the 135,405 participants, 10.5% had diabetes and 36.2% had prediabetes in 2013. During a median follow-up of 6 years, 5517 deaths were recorded, including 1428 and 2300 deaths among people with diabetes and prediabetes, respectively. Diabetes and prediabetes were significantly associated with increased risk of all-cause (diabetes: RR, 1.61 [95% CI 1.49, 1.73]; prediabetes: RR, 1.08 [95% CI 1.01, 1.15]), and cardiovascular disease (diabetes: RR, 1.59 [95% CI 1.41, 1.78]; prediabetes: RR, 1.10 [95% CI 1.00, 1.21]) mortality. Additionally, diabetes was significantly associated with increased risks of death resulting from cancer, respiratory disease, liver disease, and diabetic ketoacidosis or coma. Compared with participants with normoglycemia, life expectancy of those with diabetes and prediabetes was shorter, on average, by 4.2 and 0.7 years at age 40 years, respectively. The magnitude of the associations of diabetes and prediabetes with all-cause and cardiovascular disease mortality varied by age and residence.

CONCLUSIONS

In this national study, diabetes and prediabetes were significantly associated with reduced life expectancy and increased all-cause and cause-specific mortality risks. The disparities in excess mortality associated with diabetes and prediabetes between different ages and residences have implications for diabetes and prediabetes prevention and treatment programs.

GLP-1 Receptor Agonists and SGLT2 Inhibitors in Type 2 Diabetes: Pleiotropic Cardiometabolic Effects and Add-on Value of a Combined Therapy

Glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is) have proven efficacy and safety in randomized clinical trials and observational real-life studies. Besides improving glucose control, reducing body weight, and lowering arterial blood pressure (surrogate endpoints), the breakthroughs were the demonstration of a significant reduction in cardiovascular and renal events in patients with type 2 diabetes at high risk. GLP-1RAs reduce events linked to atherogenic cardiovascular disease (especially ischemic stroke) and also renal outcomes (FLOW trial with semaglutide), with a limited effect on heart failure. The most striking protective effects of SGLT2is were a marked reduction in hospitalization for heart failure and a remarkable reduced progression of chronic kidney disease. These benefits have been attributed to numerous pleiotropic effects beyond glucose-lowering action. Underlying mechanisms contributing to cardiovascular and renal protection are at least partially different between GLP-1RAs (mainly anti-atherogenic and vascular effects) and SGLT2is (mainly systemic and intrarenal hemodynamic changes). Thus, patients at high risk may benefit from complementary actions when being treated with a GLP-1RA/SGLT2i combination. Such combination has proven its efficacy on surrogate endpoints. Furthermore, post hoc subgroup analyses of cardiovascular outcome trials have suggested a greater cardiorenal protection in patients treated with a combination versus either monotherapy. The benefits of a combined therapy have been confirmed in a few retrospective cohort studies. A dedicated prospective trial comparing a combined therapy versus either monotherapy is ongoing (PRECIDENTD); however, several challenges still remain, especially the higher cost of a combined therapy and the worldwide underuse of either GLP-1RAs or SGLT2is in clinical practice, even in patients at high cardiorenal risk.

Early expression of osteopontin glycoprotein on the ocular surface and in tear fluid contributes to ocular surface diseases in type 2 diabetic mice

PURPOSE

Osteopontin (OPN) is a glycosylated, secreted phosphoprotein known to be elevated in both human and mouse retinas during various stages of diabetic retinopathy. However, its specific roles in modulating ocular surface dynamics and immune responses in diabetes remain unexplored. This study aims to investigate the role of OPN in the development of ocular surface disease (OSD) in type 2 diabetic (T2D) mice.

METHODS

Three- to four-week-old C57BL/6 wild-type (WT) and OPN-knockout (OPN-/-) mice were fed a high-fat diet (HFD) and were rendered diabetic by streptozotocin (STZ; 40 mg/kg body weight) in citrate buffer (vehicle); non-diabetic controls were injected with vehicle alone. Diabetes was confirmed if blood glucose levels were >200 mg/dL, measured 1-2 weeks post-STZ injection. Control, age- and sex-matched db/db diabetic mice fed a standard chow diet were also included in this study. Ocular surface inflammation was assessed using ELISA to quantify inflammatory cytokine proteins and wheat germ agglutinin (WGA) staining was utilized to highlight corneal surface irregularities. Clinical signs were evaluated by corneal fluorescein staining, tear production measurements, and tear sodium (Na+) concentration assessments. These evaluations were conducted 4, 6, 8 and 16-weeks post-diabetes onset in WT and OPN-/- mice and were compared to those obtained in non-diabetic controls. Statistical analysis was performed using a two-way ANOVA, with significance set at P < 0.05.

RESULTS

Both WT and OPN-/- mice developed T2D within 4 and 8 weeks, respectively, following HFD + STZ treatment. Corneal OPN levels in WT diabetic mice increased ~2-fold at 2 weeks and ~4-fold at 16 weeks compared to non-diabetic controls, with similar elevations observed in their tear fluid. Diabetic db/db mice also exhibited elevated OPN levels in the blood and ocular surface, which persisted as diabetes progressed. Enhanced fluorescein staining, indicating corneal irregularities, appeared in WT mice at 8 weeks and in OPN-/- mice at 10 weeks post-T2D induction. Additionally, WGA staining showed a significant reduction in fluorescence intensity in WT mice treated with HFD and STZ, confirming corneal surface irregularities that were delayed in OPN-/- mice. Elevated tear sodium concentration was observed in both WT and OPN-/- diabetic mice without affecting tear production rates. Notably, OPN levels increased early, at week 2, following HFD and STZ treatment, preceding changes in interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), and matrix metalloproteinase-9 (MMP-9). Upregulation of IL-6 became apparent at 6 weeks in WT mice and was delayed until 10 weeks in OPN-/- mice post-T2D induction.

CONCLUSIONS

Elevated OPN levels were detected early post-T2D induction in diabetic WT and db/db mice corneas without initial subclinical changes. This early increase in OPN precedes other proinflammatory cytokines associated with eventual ocular surface inflammation as diabetes progresses. Persistence of OPN also correlated with clinical signs such as increased corneal surface irregularities and elevated tear Na+ concentration. Future research will explore OPN's role as a biomarker in ocular surface disease (OSD), including dry eye disease (DED), and investigate its impact on inflammatory processes and other mechanistic pathways in diabetic ocular complications.

Pattern and outcome of the first manifestation of cardiovascular disease among patients with type 2 diabetes mellitus in Cameroon: a cross-sectional study

BACKGROUND

Cardiovascular diseases (CVDs) are the most common cause of morbidity and mortality among patients with type 2 diabetes mellitus (T2DM). There is a paucity of data on the pattern of first manifestation of CVD and the outcome among patients with T2DM in Cameroon.

OBJECTIVES

We aimed to examine the pattern of the first manifestation of CVD and the outcome among patients with T2DM.

METHODS

Between January 2017 and December 2023, files of patients with T2DM hospitalized for the first observed CVD were reviewed. We identified cases of three incident overt clinically manifest CVD complications (acute myocardial infarction [AMI], stroke, and heart failure) in hospitalized T2DM patients. Patients with a previous history of CVD were excluded.

RESULTS

Out of the 1091 patients hospitalized with T2DM, we identified 261(23.9%) patients with clinically overt CVD, of whom 129 (49.4%) were females. The mean age was 63.9 ± 12.1 years and ranged from 15 to 91 years. Women were significantly older compared to men (65.4 ± 11.4 years vs. 62.5 ± 12.6 years; p = 0.042). Hypertension was reported in 201 (77%; 95% CI: 71.4-82) patients. Any form of chronic kidney disease was seen in 15 (5.8%; 95% CI: 3.3-9.3) patients. HIV infection was seen in 5 (1.9%; 95% CI: 0.6-4.4) patients. Stroke was the most common incident clinically overt CVD in 144 (55.2%; 95% CI: 48.9-61.3) patients, followed by heart failure in 105 (40.2%; 95% CI: 34.2-46.5) patients, and Acute MI in 12 (4.6%; 95% CI: 2.4-7.9) patients. The mean length of hospital stay was 9.7 ± 6.6 days. Patients with stroke had a significantly longer hospital stay > 7 days (63% vs. 48.7%, p = 0.021). The in-hospital case fatality was seen in 35 (13.4%; 95% CI: 9.5-18.2) patients.

CONCLUSION

Nearly 1 out of 4 hospitalized patients with T2DM was hospitalized for a first CVD. Stroke and heart failure are the most common initial manifestations of CVD. More than three-quarters of the patients had concomitant hypertension and the in-hospital case fatality was high.

CLINICAL TRIAL NUMBER

Not applicable.

Association between reduced hemoglobin-to-red cell distribution width ratio and elevated cardiovascular mortality in patients with diabetes: Insights from the National Health and Nutrition Examination Study, 1999-2018

OBJECTIVE

The purpose of this research was to examine the relationship between the hemoglobin-to-red blood cell distribution width ratio (HRR) and cardiovascular disease (CVD)-related mortality in people who have diabetes.

METHODS

Data derived from the National Health and Nutrition Examination Survey (NHANES), between the years 1999 to 2018, were meticulously analyzed. Mortality data, encompassing events until December 31, 2019, were systematically collected. A comprehensive group comprising of 8,732 participants were subjected to scrutiny, and subsequently, classified into four distinct groups predicated upon quartiles of baseline HRR levels: Q1 (n = 2,183), Q2 (n = 2,181), Q3 (n = 2,185), and Q4 (n = 2,183). The correlation between HRR and CVD-related mortality was examined through the use of survival curves and Cox proportional hazard regression models, the latter incorporating weights as advised by NHANES.

RESULTS

Among the 8,732 participants in the study cohort, CVD-related mortality was identified in 710 cases. The Kaplan-Meier analysis demonstrated a significant association, indicating that a decreased HRR was correlated with a reduction in survival in cases with CVD. Both univariate and multivariable Cox proportional hazard regression analyses consistently indicated that patients exhibiting a lower HRR exhibited a markedly elevated risk of CVD-related mortality in comparison to those with higher HRR. Notably, the correlation between HRR and decreasing CVD-related mortality was discerned to be non-linear.

CONCLUSION

In patients with diabetes, a decreased HRR was associated with an increased risk of CVD-related mortality.

Associations of cardiometabolic index with diabetic statuses and insulin resistance: the mediating role of inflammation-related indicators

BACKGROUND

This study aimed to analyze the associations of cardiometabolic index (CMI) with diabetic statuses and insulin resistance (IR) using data from the National Health and Nutrition Examination Survey (NHANES) and examined the potential mediating role of inflammation in these correlations.

METHODS

This study enrolled 9477 participants across four NHANES cycles from 2011 to 2018. The primary outcomes of the study included the risk of having prediabetes, diabetes and the level of the homeostasis model assessment of IR (HOMA-IR). Other outcomes including the levels of fasting blood glucose (FBG), hemoglobin A1c (HbA1c), oral glucose tolerance test (OGTT) results, fasting insulin, the risk of oral hypoglycemic medicine use, insulin use, and retinopathy were also collected and analyzed. Logistic regression model, subgroup analysis, restricted cubic spine (RCS), and Pearson correlation coefficients were conducted to assess the associations of CMI with diabetic statuses and IR. The mediating role of inflammation was evaluated to investigate the potential mechanism of the associations between CMI and diabetic statuses.

RESULTS

Among included participants, the CMI levels in normal participants, prediabetes and diabetes in this study were 0.48, 0.73 and 1.07. After multivariable adjustment, CMI was positively associated with the risk of prediabetes (OR = 1.49, 95% CI = 1.24-1.79), diabetes (OR = 2.14, 95% CI = 1.82-2.50) and the level of HOMA-IR (β = 2.57, 95% CI = 2.14-3.01). Besides, an increased CMI was correlated with higher levels of FBG, HBA1c, OGTT results and fasting insulin as well as the greater risk of oral hypoglycemic medicine use and insulin use. The RCS showed an inverted L-shaped association of CMI with prediabetes and diabetes (P for non-linearity < 0.001). According to Pearson correlation coefficients, higher CMI was linked to higher rises in HOMA-IR (r = 0.224, P < 0.001). Inflammation-related indicators including leukocyte and neutrophil demonstrated significant mediating effects in the associations of CMI with prediabetes (15.5%, 9.8%), diabetes (5.1%, 6.0%) and HOMA-IR (3.3%, 2.6%).

CONCLUSION

CMI was positively associated with the risk of worse diabetic statuses and higher level of IR while the associations may be partially mediated by inflammation-related indicators, suggesting that CMI could be a promising indicator for the prediction of severe diabetes and IR.