Type 2 Diabetes and Myocardial Infarction: Recent Clinical Evidence and Perspective

The Association Between HbA1c Levels and the Risk of Myocardial Infarction and Stroke in People with Type 2 Diabetes: A Post Hoc Analysis of the REPRESENT Study

INTRODUCTION

The aim of this work was to analyze the association between baseline glycated hemoglobin (HbA1c) levels and other factors on the risk of first myocardial infarction (MI) and on the risk of first stroke in people with type 2 diabetes (T2D) in Spain.

METHODS

This post hoc analysis of the REPRESENT study used the IQVIA electronic medical records database. Cumulative incidences were estimated using the Kaplan-Meier method, and Cox regression models were used to identify associated risk factors, including gender, age, HbA1c, or prior cardiovascular disease (other than MI/stroke).

RESULTS

Median follow-up was 7 years. In people without prior MI/stroke, the incidence (95% confidence interval [CI]) of first MI/stroke was 0.31 (0.28-0.34) and 0.18 (0.15-0.20) events per 100 patient-years, respectively. Baseline HbA1c levels < 6.5% were independently associated with lower risk of first MI (hazard ratio [HR] 0.76 [95% CI 0.61-0.94]) and of first stroke (HR 0.74 [95% CI 0.56-0.98]). Male sex, age ≥ 50 years, and previous cardiovascular disease were independently associated with a higher risk of MI/stroke.

CONCLUSIONS

This analysis found an association between baseline HbA1c levels < 6.5% and lower risk of a first MI or stroke in a T2D cohort in Spain, suggesting a role of stringent glycemic control in the prevention of cardiovascular complications.

Canagliflozin protects cardiovascular function in type 2 diabetic coronary artery disease by regulating natriuretic peptide B

BACKGROUND

Canagliflozin (Cana) has protected against diabetes-related cardiovascular disease. This study was intended to explore the effect and molecular mechanism of Cana on cardiovascular protection in type 2 diabetic coronary atherosclerotic heart disease (CAD).

MATERIALS AND METHODS

We constructed a rat model of type 2 diabetic CAD and examined its physiological and biochemical indices before and after Cana treatment. Next-generation transcriptome sequencing was performed on rat cardiac tissue. Various functional and molecular experiments involving Cana treatment and the natriuretic peptide B (NPPB) gene were performed on human cardiomyocytes (AC16 cells).

RESULTS

The physiological, biochemical, and imaging parameters of the model rats were abnormal. Cana treatment reversed these injuries. In all, 369 differentially expressed genes were discovered by next-generation transcriptome sequencing; NPPB was identified as the target gene. Cana treatment significantly improved the function of AC16 cells treated with high glucose and significantly upregulated the expression level of the NPPB gene. The NPPB gene significantly increased the viability of AC16 cells and significantly decreased the apoptosis rate and reactive oxygen species (ROS) level. In addition, NPPB significantly upregulated the expression of B-cell lymphoma 2 (Bcl-2) and downregulated the expression of Bcl-2 associated X protein (Bax). Cana treatment further improved these cellular functions and protein expression levels. Furthermore, the NPPB gene significantly upregulated protein kinase 1-α (PKG1α) expression level and Cana treatment enhanced the regulatory effect of NPPB on PKG1α.

CONCLUSIONS

The cardiovascular protective effect of Cana in diabetes mellitus was mediated by upregulating the expression of NPPB and upregulating the level of PKG1α, which in turn regulated the viability, apoptosis rate, and ROS level of AC16 cells.

T2D-LVDD: neural network-based predictive models for left ventricular diastolic dysfunction in type 2 diabetes

Cardiovascular disease complications are the leading cause of morbidity and mortality in patients with Type 2 diabetes (T2DM). Left ventricular diastolic dysfunction (LVDD) is one of the earliest myocardial characteristics of diabetic cardiac dysfunction. Therefore, we aimed to develop an LVDD-risk predictive model to diagnose cardiac dysfunction before severe cardiovascular complications arise. We trained an artificial neural network model to predict LVDD risk with patients' clinical information. The model showed better performance than classical machine learning methods such as logistic regression, random forest and support vector machine. We further explored LVDD-risk/protective features with interpretability methods in neural network. Finally, we provided a freely accessible web server called LVDD-risk, where users can submit their clinical information to obtain their LVDD-risk probability and the most noteworthy risk indicators.

Association between hemoglobin glycation index and myocardial infarction in critically ill patients with diabetes mellitus: a retrospective study based on MIMIC-IV

BACKGROUND

The hemoglobin glycation index (HGI), which quantifies the difference between observed and predicted hemoglobin A1c (HbA1c) levels, has been linked to adverse outcomes. However, its relationship with myocardial infarction (MI) in patients with diabetes mellitus (DM) remains unexplored. This study aimed to investigate the association between HGI and MI incidence in critically ill patients with diabetes mellitus (DM) using data from the MIMIC-IV database.

METHODS

Linear regression analysis of HbA1c and fasting blood glucose levels was conducted to calculate HGI. Subsequently, differences in MI incidence across HGI quartiles were assessed using the Kaplan-Meier survival analysis, with the log-rank test applied. Cox proportional hazards models and restricted cubic spline (RCS) analyses were conducted to estimate hazard ratios (HRs) for MI risk across HGI quartiles, with Q1 as the reference.

RESULTS

A total of 8,055 DM patients with an initial ICU admission exceeding 24 h were included, with 21.5% of them presenting MI. Compared to HGI Q1 (-3.81, -1.236), the risk of MI increased by 1.26 times in Q2 (HR: 1.26, 95% confidence interval [CI]: 1.10-1.45), 1.48 times in Q3 (HR: 1.48, 95% CI: 1.29-1.69), and 1.39 times in Q4 (HR: 1.39, 95% CI: 1.21-1.60). RCS analysis showed a nonlinear positive association between HGI and outcome events that remained consistent across different subgroups as the stratified analysis suggested.

CONCLUSION

A significant correlation was revealed between HGI and the risk of MI in patients with DM, especially among those with elevated HGI levels, suggesting that HGI may serve as a potential biomarker for assessing MI risk in this population.

Investigation of the interplay of PCSK9, cardiac dynamics, oxidative stress in coronary artery disease: case-control study

Background

PCSK9 plays a key role in raising LDL-C levels, which contributes to heart attacks (MI). However, studies show that about half of MI patients have normal LDL-C levels. This study aims to explore the link between PCSK9, heart function, and oxidative stress markers in MI patients.

Methods

This investigation was carried out at Tehran Heart Centre Hospital on healthy individuals (n=63) and patients (n=63) with MI who had a coronary artery block above 50% (CAB > 50%). Oxidative stress (OS) parameters, such as total antioxidant capacity (TAC), malondialdehyde (MDA), myeloperoxidase (MPO), superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx) activity, PCSK9, oxidized Low-density lipoprotein (ox-LDL), high-sensitivity cardiac troponin I (hs-cTnI), and hs-CRP are assessed. Indeed, biochemical parameters and EF% were measured.

Results

Higher EF% (>37.5%), TAC (>1.05 mmol Fe²+;/L), GPx (>16.48 mU/mL), CAT (>11.32 nmol/min/mL), and SOD (>297.16 U/mL) were linked to a lower risk of CAB > 50%. In contrast, higher MDA (>32.07 nmol/mL), MPO (>17.77 U/L), hs-CRP (>5.5 mg/L), and ox-LDL (>64.87 μg/L) were associated with a higher risk. There was no significant difference in PCSK9 and LDL-C levels between groups. EF% was positively linked to SOD but negatively related to MDA, MPO, ox-LDL, hs-cTnI, and hs-CRP. Ox-LDL correlated positively with MPO but negatively with TAC, CAT, and GPx. PCSK9 showed a positive relationship with MDA. The best markers for CAB > 50% diagnosis were ox-LDL (AUC = 83.22, cut-off > 63.35 μg/L), EF% (AUC = 82.35, cut-off < 46.25%), and hs-cTnI (AUC = 81.3, cut-off > 0.265 ng/mL).

Conclusion

While PCSK9's role in MI through LDL-C is well known, its impact on inflammation and oxidative stress may also be important, even when LDL-C and PCSK9 levels are normal. Additionally, ox-LDL and EF% are better indicators of CAB > 50% than hs-cTnI.

Attention-deficit/hyperactivity disorder and cardiometabolic risk profile in patients with acute myocardial infarction: data from the SWEDEHEART registry

AIMS

Attention-deficit/hyperactivity disorder (ADHD) is increasingly diagnosed in adults and is associated with cardiometabolic diseases. Yet, the associations between ADHD and cardiometabolic risk profile, participation in non-pharmacological interventions, and long-term outcomes in patients with myocardial infarction (MI) remain unclear.

METHODS AND RESULTS

This observational study involved patients from the SWEDEHEART (the Swedish Web-system for Enhancement and Development of Evidence-based Care in Heart Disease Evaluated According to Recommended Therapy) registry, aged 18-74 years old, diagnosed with their first acute MI from 2006 to 2020. We assessed the associations between ADHD and cardiometabolic risk profile (clinical parameters, disease histories, and behavioural factors), engagement in guideline-recommended non-pharmacological interventions, recurrent cardiovascular events, and mortality. We analysed adults with MI with ADHD (n = 582) and without ADHD (n = 2704). Most clinical parameters and disease histories did not differ significantly between groups. However, patients with ADHD had higher risks of smoking (risk ratio, RR = 1.53; 95% confidence interval 1.36-1.71] and snus use (RR = 1.65; 1.36-1.99), were less likely to participate in follow-up evaluations (RR = 0.87; 0.79-0.96), or to stop smoking after MI (RR = 0.76; 0.63-0.91). They had a higher rate of all-cause mortality (hazard ratio = 2.02; 1.05-3.88) after discharge, but not recurrent cardiovascular events.

CONCLUSION

Adults with MI and ADHD present similar cardiometabolic risk profiles but poorer lifestyle behaviours, lower engagement in recommended interventions, and higher mortality compared with those without ADHD, underscoring the need for integrated cardiology care with psychiatric services.

The Role of Resistin in Macrovascular and Microvascular Complications of Type 2 Diabetes

Resistin is an adipokine produced in adipose tissue with pro-inflammatory properties, whose elevation has been associated with insulin resistance and diabetes. Over the past years, significant research has explored the pathophysiological mechanisms involving resistin, utilizing various in vitro and in vivo models. Additionally, numerous clinical studies have aimed to establish a correlation between resistin and the development and progression of macrovascular and microvascular complications in type 2 diabetes. This narrative review summarizes in vitro, in vivo, and human studies published in English since the discovery of resistin in 2001 to the present, examining the role of this adipokine in the pathophysiology of macrovascular and microvascular complications in in vivo and in vitro T2D models, as well as the clinical evidence supporting its use as a biochemical marker in patients with these conditions. The results exhibit considerable heterogeneity and appear to be dependent on the experimental model or population studied. While experimental evidence supports resistin's involvement at the cellular and molecular levels in the pathogenesis of these complications, current clinical evidence remains insufficient to justify its use as a biochemical marker for either diagnosis or prognosis. Therefore, further well-designed studies are required to elucidate resistin's potential role in the clinical setting.

Association of quality of care and long-term mortality risk for individuals presenting with ST-segment myocardial infarction (STEMI) by diabetes mellitus status: A nationwide cohort study

AIMS

This study aimed to assess how diabetes influences the quality of care and longer-term outcomes in contemporary STEMI cohorts.

METHODS

We analysed 283,658 adults hospitalised with STEMI from the United Kingdom Myocardial Ischaemia National Audit Project (MINAP) registry between 2005 and 2019. This was linked with Office of National Statistics data to provide out of hospital mortality outcomes. We compared longer-term outcomes depending on diabetes status and assessed the effect of quality of care using the opportunity-based quality-indicator score (OBQI).

RESULTS

Individuals with diabetes were older (median age 68.7 vs. 65.5), underwent percutaneous coronary intervention less frequently (60 % vs. 63 %) and were less likely to achieve a door-to-balloon time of < 60 min (69 % vs. 75 %) or < 120 min (89 % vs. 92 %). Their adjusted all-cause mortality risk was higher during follow-up, from 30 days (HR: 1.49, CI: 1.44-1.54), to up to 10 years of follow up (HR: 1.54, CI: 1.52-1.57), compared to individuals without diabetes. Excellent inpatient care was associated with lower mortality rates within individuals with diabetes (Diabetes: HR 0.56, CI: 0.50-0.64, No diabetes: HR 0.62, CI: 0.58-0.67).

CONCLUSIONS

Individuals with diabetes have a higher risk of long-term mortality after STEMI. They experience delays in angiography and receive lower quality inpatient care.

To study the role of triglyceride glucose index (TyG Index) as a novel biomarker in patients of type 2 diabetes mellitus (T2DM) developing acute coronary syndrome (ACS)

Objectives

To study the role of the triglyceride glucose (TyG) index as a novel biomarker in patients with type 2 diabetes mellitus (T2DM) developing acute coronary syndrome (ACS).

Methods

This was a cross-sectional, case-control study conducted over 1 year with a sample size of 175 T2DM subjects divided into cases and controls at a ratio of 2:5 (50 cases: T2DM with ACS, 125 controls: T2DM without ACS). The TyG index was calculated using the formula Ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg (dL)/2].

Result

In this study, nearly half of the patients had ST-elevation myocardial infarction with a male preponderance. The TyG index was significantly higher in the ACS group. Body mass index, fasting blood sugar, serum cholesterol, and serum urea levels were significantly higher in the cases. The TyG index showed a strong correlation with ACS, and linear regression analysis identified it as the strongest risk factor for ACS in these patients, with a cutoff value of 8.9, providing 99% sensitivity and specificity. Interestingly, high-sensitivity CRP levels were not significantly different between the two groups.

Conclusion

The TyG index, derived from fasting triglycerides and blood glucose, is a simple and cost-effective marker for insulin resistance (IR) and cardiovascular risks. It is comparable to other markers in predicting conditions such as coronary artery disease (CAD) and atherosclerosis and can be incorporated into the routine clinical evaluation of T2DM patients to predict the risk of ACS, which remains a leading cause of cardiovascular morbidity and mortality in T2DM.

The SGLT2 inhibitor remogliflozin induces vasodilation in the femoral artery of rabbits via activation of a Kv channel, the SERCA pump, and the cGMP signaling pathway

This study explored the vasodilatory mechanisms of the sodium-glucose cotransporter-2 inhibitor remogliflozin using femoral arteries of rabbits. Remogliflozin dilated femoral arterial rings pre-contracted with phenylephrine in a concentration-dependent manner. Pretreatment with the Ca2+-sensitive K+ channel inhibitor (paxilline), the ATP-sensitive K+ channel inhibitor (glibenclamide), or the inwardly rectifying K+ channel inhibitor (Ba2+) did not alter the vasodilatory effect. However, vasodilation was significantly reduced by pretreatment with the voltage-dependent K+ (Kv) channel inhibitor (4-AP) and with the Kv1.5 subtype inhibitor (DPO-1) but not with Kv2.1 or Kv7 subtype inhibitor. Neither endothelium removal nor the inhibition of nitric oxide production altered the vasodilatory effect of remogliflozin. However, pretreatment with the sarcoplasmic/endoplasmic reticulum Ca2+-ATPase (SERCA) pump inhibitors thapsigargin and cyclopiazonic acid effectively reduced the remogliflozin effect, as did pretreatment with cGMP/PKG-related but not cAMP/PKA-related signaling pathway inhibitors. These results indicate that remogliflozin-mediated dilation of the femoral artery occurs via the activation of Kv channels, mainly the Kv1.5 subtype, SERCA pump, and cGMP/PKG-related signaling pathways.

Evaluate gender differences in patients with left main coronary artery disease

BACKGROUND

Left main coronary artery disease (LMCAD) is a potentially life-threatening situation. The medical treatment of LMCAD can lead to critical cardiovascular events. The association between LMCAD and gender has been studied in the medical field.

METHODS

This cross-sectional study was conducted at Imam Hossein Hospital in Tehran. At the beginning of the project, patient files were collected for 6,250 individuals who presented with heart complaints between 2016 and 2021 and underwent angiography examinations. These files were reviewed, and patients diagnosed with left main coronary artery disease during the angiography were identified.

RESULTS

After reviewing 6,250 angiography results from 2016 to 2021, it was found that 274 patients had significant stenosis in the left main coronary artery, resulting in a prevalence of LMCAD of 4.38%. The mean age of the 274 patients with LMCAD was 65.98 ± 10.29 years, and 22.63% of them had premature CAD. Males constituted 75.18% of the group, with 25.18% being smokers. Common comorbidities included hypertension (51.82%), diabetes (42.70%), and chronic kidney disease (13.50%). The gender-based analysis highlighted variations, with women being older on average (P = 0.007), more likely to have premature left main involvement (P = 0.011), and exhibiting lower rates of smoking (P < 0.001) and chronic kidney diseases (P = 0.013) but higher prevalence of hypertension (P < 0.001) and diabetes (P = 0.011) compared to men.

CONCLUSION

Our findings showed that these gender-specific differences are crucial for tailored management strategies in patients with left main coronary artery disease. Further research is needed to optimize outcomes for this high-risk population.

Diabetes and its Silent Partner: A Critical Review of Hyperinsulinemia and its Complications

In this complex realm of diabetes, hyperinsulinemia is no longer regarded as just a compensatory response to insulin resistance but rather has evolved into an integral feature. This comprehensive review provides a synthesis of the current literature, including various aspects associated with hyperinsulinemia in diabetic complications. Hyperinsulinemia has been shown to be more than just a compensatory mechanism, and the key findings demonstrate how hyperinsulinism affects the development of cardiovascular events as well as microvascular complications. Additionally, recognizing hyperinsulinemia as a modifiable factor, the diabetes management paradigm shifts towards cognitive ones that consider the use of lifestyle modifications in combination with newer pharmacotherapies and precision medicine approaches. These findings have crucial implications for the clinical work, requiring a careful appreciation of hyperinsulinemia's changing aspects as well as incorporation in personalized treatment protocol. In addition, the review focuses on bigger issues related to public health, showing that prevention and early diagnosis will help reduce the burden of complications. Research implications favor longitudinal studies, biomarker discovery, and the study of emerging treatment modalities; clinical practice should adopt global evaluations, patient education, and precision medicine adaptation. Finally, this critical review provides an overview of the underlying processes of hyperinsulinemia in diabetes and its overall health effects.

Clustering-based risk stratification of prediabetes populations: Insights from the Taiwan and UK Biobanks

AIMS/INTRODUCTION

This study aimed to identify low- and high-risk diabetes groups within prediabetes populations using data from the Taiwan Biobank (TWB) and UK Biobank (UKB) through a clustering-based Unsupervised Learning (UL) approach, to inform targeted type 2 diabetes (T2D) interventions.

MATERIALS AND METHODS

Data from TWB and UKB, comprising clinical and genetic information, were analyzed. Prediabetes was defined by glucose thresholds, and incident T2D was identified through follow-up data. K-means clustering was performed on prediabetes participants using significant features determined through logistic regression and LASSO. Cluster stability was assessed using mean Jaccard similarity, silhouette score, and the elbow method.

RESULTS

We identified two stable clusters representing high- and low-risk diabetes groups in both biobanks. The high-risk clusters showed higher diabetes incidence, with 15.7% in TWB and 13.0% in UKB, compared to 7.3% and 9.1% in the low-risk clusters, respectively. Notably, males were predominant in the high-risk groups, constituting 76.6% in TWB and 52.7% in UKB. In TWB, the high-risk group also exhibited significantly higher BMI, fasting glucose, and triglycerides, while UKB showed marginal significance in BMI and other metabolic indicators. Current smoking was significantly associated with increased diabetes risk in the TWB high-risk group (P < 0.001). Kaplan-Meier curves indicated significant differences in diabetes complication incidences between clusters.

CONCLUSIONS

UL effectively identified risk-specific groups within prediabetes populations, with high-risk groups strongly associated male gender, higher BMI, smoking, and metabolic markers. Tailored preventive strategies, particularly for young males in Taiwan, are crucial to reducing T2D risk.

Associations between blood markers of glucose metabolism and characteristics of circulating lymphocytes

AIMS

The pathophysiology of diabetes is not fully understood; recent research indicates close relations with immunological alterations. Therefore, the aim of this study was to investigate the associations between markers of glucose metabolism and characteristics of blood lymphocytes in a population-based cohort.

METHODS

The analysis was based on data from 219 non-diabetic participants of the MEGA study in Augsburg, Germany, who were recruited between 2018 and 2021. The majority of participants were examined two different times with a time lag of 9 months. Fasting venous blood samples were taken and oral glucose tolerance tests (OGTT) were performed at both visits. Immune cells were analyzed from fresh blood using flow cytometry. The associations between fasting blood glucose levels, glucose levels at 2 h after oral glucose bolus and glycated hemoglobin (HbA1c) concentrations and the quantity of different lymphocyte subsets were analyzed using linear mixed regression models with random intercept. P values were FDR-adjusted.

RESULTS

HbA1c was negatively associated with the marginal zone B cells (IgD + CD27+ B cells). Fasting glucose was positively associated with natural killer (NK) cells and 2-h OGTT glucose was positively associated with NKT cells. Finally, HbA1c showed significantly negative associations with the CD57-PD1-NKT cell subset.

CONCLUSION

Markers of glucose metabolism showed significant associations with B cell, NK cell and NKT cell subsets, which clearly indicates a relation between glucose metabolism and the adaptive immune system.

Addressing disparities in the long-term mortality risk in individuals with non-ST segment myocardial infarction (NSTEMI) by diabetes mellitus status: a nationwide cohort study

AIMS/HYPOTHESIS

The aim of this study was to investigate how diabetes mellitus affects longer term outcomes in individuals presenting to hospital with non-ST segment elevation myocardial infarction (NSTEMI).

METHODS

We analysed data from 456,376 adults hospitalised between January 2005 and March 2019 with NSTEMI from the UK Myocardial Ischaemia National Audit Project (MINAP) registry, linked with Office for National Statistics death reporting. We compared outcomes and quality of care by diabetes status.

RESULTS

Individuals with diabetes were older (median age 74 vs 73 years), were more often of Asian ethnicity (13% vs 4%) and underwent revascularisation (percutaneous coronary intervention or coronary artery bypass graft surgery) (38% vs 40%) less frequently than those without diabetes. The mortality risk for those with diabetes compared with those without was significantly higher at 30 days (HR 1.19, 95% CI 1.15, 1.23), 1 year (HR 1.28, 95% CI 1.26, 1.31), 5 years (HR 1.36, 95% CI 1.34, 1.38) and 10 years (HR 1.39, 95% CI 1.36, 1.42). In individuals with diabetes, higher quality inpatient care, assessed by opportunity-based quality indicator (OBQI) score category ('poor', 'fair', 'good' or 'excellent'), was associated with lower mortality rates compared with poor care (good: HR 0.74, 95% CI 0.73, 0.76; excellent: HR 0.69, 95% CI 0.68, 0.71). In addition, compared with poor care, excellent care in the diabetes group was associated with the lowest mortality rates in the diet-treated and insulin-treated subgroups (diet-treated: HR 0.64, 95% CI 0.61, 0.68; insulin-treated: HR 0.69, CI 0.66, 0.72).

CONCLUSION/INTERPRETATION

Individuals with diabetes experience disparities during inpatient care following NSTEMI. They have a higher risk of long-term mortality than those without diabetes, and higher quality inpatient care may lead to better long-term survival.

Risk management of patients with multiple CVDs: what are the best practices?

INTRODUCTION

Managing patients with multiple risk factors for CVDs can present distinct challenges for healthcare providers, therefore addressing them can be paramount to optimize patient care.

AREAS COVERED

This narrative review explores the burden that CVDs place on healthcare systems as well as how we can best optimize the risk management of these patients. Through a comprehensive review of literature, guidelines and clinical studies, this paper explores various approaches to risk management, lifestyle modifications and pharmacological interventions utilized in the management of CVDs. Furthermore, emerging technologies such as machine learning (ML) are discussed, highlighting potential opportunities for future research. By reviewing existing recommendations and evidence, this paper aims to provide insight into optimizing strategies and improving the outcomes for patients with multiple CVDs.

EXPERT OPINION

Optimizing risk factors can have a significant impact on patient outcomes, as such each patient should have a clear plan on how to manage these risk factors to minimize adverse healthcare results.

GC-MS analysis, molecular docking, and pharmacokinetic studies on Dalbergia sissoo barks extracts for compounds with anti-diabetic potential

Diabetes is a metabolic condition defined by abnormal blood sugar levels. Targeting starch-hydrolyzing enzymes and Dipeptidyl Peptidase 4 (DPP-4) expressed on the surface of numerous cells is one of the key strategies to lower the risk of Type-2 diabetes mellitus (T2DM). Dalbergia sissoo Roxb. bark (DSB) extracts have been reported to have anti-diabetic properties. This study intended to scientifically validate use of alcoholic and hydro-alcoholic extracts of DSB for T2DM by conducting preliminary phytochemical investigations, characterising potential phytochemicals using Fourier transform infrared (FT-IR) spectroscopy and Gas chromatography-mass spectrometry (GC-MS) analysis followed by comprehensive in-silico analysis. A qualitative phytochemical evaluation indicated the presence of alkaloids, phenolics, glycosides, conjugated acids and flavonoids. Ethanolic extracts showed highest total phenolic content (TPC) (127.072 ± 14.08031 μg GAE/g dry extract) and total flavonoid content (106.911 ± 5.84516 μg QE /g dry extract). Further FT-IR spectroscopy also revealed typical band values associated with phenol, alcohol, alkene, alkane and conjugated acid functional groups. The GC-MS analysis identified 139 compounds, 18 of which had anti-diabetic potential. In-silico ADMET analysis of potential compounds revealed 15 compounds that followed Lipinski's rule and demonstrated drug-like properties, as well as good oral bioavailability. Molecular docking was utilised to analyse their potential to interact with three targets: α-amylase, α-glucosidase, and DPP-4, which are crucial in managing diabetes-related problems. Molecular Docking analysis and membrane permeability test utilising the PerMM platform revealed that compounds in the extracts, such as Soyasapogenol B and Corydine, had better interactions and permeability across the plasma membrane than standard drugs in use. Molecular dynamics simulations also showed that selected compounds remained stable upon interaction with α-amylase. Overall, using the in-silico approaches it was predicted that DSB extracts contain potential phytochemicals with diverse anti-diabetic properties. It further needs to be investigated for possible development as formulation or drug of choice for treating T2DM.

Combination of Qi Benefiting and Blood Circulation Promoting Herbs with Dapagliflozin in the Treatment of Type 2 Diabetes Mellitus Combined with Heart Failure: A Systematic Evaluation and Meta-Analysis Based on a Randomized Controlled Trial

INTRODUCTION

This systematic review examines the efficacy of a combination of Qi benefiting and blood circulation promoting herbs with Dapagliflozin in treating type 2 diabetes mellitus (T2DM) combined with heart failure (HF).

METHODS

Randomized controlled trials (RCTs) assessing the combination of Qi benefiting and blood circulation promoting herbs with Dapagliflozin for T2DM and CHF was conducted. The search, spanning from the database's establishment to June 2023, included seven databases: China Knowledge Network (CNKI), Wanfang Database, VIP Database, PubMed, Embase, Cochrane Library, and the Chinese Biomedical Literature Database. Two researchers screened and extracted data based on inclusion and exclusion criteria. The Cochrane Handbook version 5.1 guided the quality assessment of studies, and the meta-analysis was performed using RevMan 5.4 software.

RESULTS

Eleven articles, encompassing a sample size of 1,192 cases, were included. Meta-analysis results indicated that combining Qi benefiting and blood circulation promoting herbs with Dapagliflozin improved the clinical efficacy rate (OR = 4.35, 95% confidence interval [CI; 2.98, 6.35], p < 0.00001). It reduced blood glucose levels, evidenced by decreased fasting blood glucose (FBG) (mean difference [MD] = -1.19, 95% CI [-1.30, -1.09], p < 0.00001), 2-h postprandial blood glucose (2hPG) (MD = -1.95, 95% CI [-2.09, -1.80], p < 0.00001), and glycosylated hemoglobin (HbA1c) (MD = -1.40, 95% CI [-1.49, -1.31], p < 0.00001). Inflammatory factors also reduced, including C-reactive protein (CRP) (MD = -4.93, 95% CI [-5.38, -4.48], p < 0.00001), tumor necrosis factor (TNF-α) (MD = -2.91, 95% CI [-3.32, -2.49], p < 0.00001), and interleukin-6 (IL-6) (MD = -11.10, 95% CI [-12.43, -9.43], p < 0.00001). Additionally, left ventricular end-diastolic diameter (LVEDD) (standardized mean difference [SMD] = -1.25, 95% CI [-1.45, -1.05], p < 0.00001), left ventricular end-systolic diameter (LVESD) (SMD = -1.34, 95% CI [-1.51, -1.13], p < 0.00001), and improved left ventricular ejection fraction (LVEF) (SMD = 2.92, 95% CI [2.65, 3.19], p < 0.00001), 6-min walk test (6MWT) (MD = 35.59, 95% CI [29.72, 41.47], p < 0.00001), and Minnesota Living with Heart Failure Questionnaire (MLHFQ) scores (MD = 35.59, 95% CI [29.72, 41.47], p < 0.00001) were observed. The incidence of adverse events also decreased (RR = 0.25, 95% CI [0.11, 0.56], p = 0.0007).

CONCLUSION

The combination of Qi benefiting and blood circulation promoting herbs with Dapagliflozin shows potential in treating patients with T2DM and HF, suggesting its use as adjunctive therapy in clinical practice. However, the limited number and quality of the included studies necessitate further high-quality research to confirm these findings.

GC-MS validation and analysis of targeted plasma metabolites related to carbonyl stress in type 2 diabetes mellitus patients with and without acute coronary syndrome

Methylglyoxal (MG) is responsible for advanced glycation end-product formation, the mechanisms leading to diabetes pathogenesis and complications like acute coronary syndrome (ACS). Sugar metabolites, amino acids and fatty acids are possible substrates for MG. The study aimed to measure plasma MG substrate levels using a validated gas chromatography-mass spectrometry (GC-MS) method and explore their association with ACS risk in type 2 diabetes mellitus (T2DM). The study included 150 T2DM patients with ACS as cases and 150 T2DM without ACS as controls for the analysis of glucose, fructose, ribulose, sorbitol, glycerol, pyruvate, lactate, glycine, serine, threonine, C16:0, C16:1, C18:0, C18:1, C18:2, C18:3, C20:0 and C22:6 by GC-MS. Validated GC-MS methods were accurate, precise and sensitive. Cases significantly differed in plasma MG and metabolite levels except for lactate, C16:0, C18:0, C18:2, and C18:3 levels compared with controls. On multivariable logistic regression, plasma C20:0, C18:1, glycine and glycerol levels had increased odds of ACS risk. On multivariate receiver operating characteristic analysis, a model containing plasma C20:0, C16:1, C18:1, C18:2, serine, glycerol, lactate and threonine levels had the highest area under the curve value (0.932) for ACS diagnosis. In conclusion, plasma C20:0, C16:1, C18:1, glycine, glycerol and sorbitol levels were associated with ACS risk in T2DM.

Endogenous adenine is a potential driver of the cardiovascular-kidney-metabolic syndrome

Mechanisms underlying the cardiovascular-kidney-metabolic (CKM) syndrome are unknown, although key small molecule metabolites may be involved. Bulk and spatial metabolomics identified adenine to be upregulated and specifically enriched in coronary blood vessels in hearts from patients with diabetes and left ventricular hypertrophy. Single nucleus gene expression studies revealed that endothelial methylthioadenosine phosphorylase (MTAP) was increased in human hearts with hypertrophic cardiomyopathy. The urine adenine/creatinine ratio in patients was predictive of incident heart failure with preserved ejection fraction. Heart adenine and MTAP gene expression was increased in a 2-hit mouse model of hypertrophic heart disease and in a model of diastolic dysfunction with diabetes. Inhibition of MTAP blocked adenine accumulation in the heart, restored heart dysfunction in mice with type 2 diabetes and prevented ischemic heart damage in a rat model of myocardial infarction. Mechanistically, adenine-induced impaired mitophagy was reversed by reduction of mTOR. These studies indicate that endogenous adenine is in a causal pathway for heart failure and ischemic heart disease in the context of CKM syndrome.

Cardioprotective effect of CB1 receptor antagonist AM251 against β receptor-stimulated myocardial infarction via modulation of NF-kB signaling pathway in diabetic mice

We substantiated the effect of AM251, a cannabinoid receptor-1 (CB1R) antagonist, against β-receptor stimulated myocardial infarction (MI) in streptozotocin (STZ)-induced diabetic mice via modulation- of the NF-kB signaling pathway. The different parameters were assessed such as ECG, hemodynamic, cardiac injury markers, oxidative stress parameters, pro-inflammatory cytokines, and histopathological abnormalities. Mice were fed a high-fat diet for 30 days. On day 7, to trigger diabetes, 150 mg/kg of STZ was injected intraperitoneally. On day 10, to determine whether diabetes developed, the blood level of glucose was monitored. From days 11-30, diabetic mice were injected with either CB1R agonist oleamide or antagonist AM251 or both, with concurrent administrations of β-agonist isoproterenol on days 28 and 29 to induce MI. In comparison to normal, the myocardial infarcted diabetic animals demonstrated alterations in ECG, hemodynamic profiles, and diminished enzymatic activities (CK-MB, LDH, SOD, GSH, catalase), with concurrently increased MDA levels, which indicated increased oxidative stress in the myocardium. Additionally, higher concentrations of cytokines that signal myocardial inflammation, such as IL-1β, IL-6, and TNF-α, were also noted. Furthermore, elevated myonecrosis, edema, and cell infiltration which is confirmed by histopathology of heart tissue. Treatment with AM251 significantly ameliorated myocardial redox status, reduced cytokines, and repaired enzymatic activities leading to subsequent recovery in cardiac function. AM251 effectively suppressed myonecrosis and edema. This study also showed that AM251 protects against myocardial inflammation and oxidative stress triggered by isoproterenol by blocking NF-kB signalling pathway. However, upregulation of the CB1R through oleamide showed significant cardiac toxicity. Conversely, the concurrent administration of oleamide and AM251 failed to induce cardiotoxic effects in isoproterenol-induced MI in diabetic mice which indicates downregulation of the CB1R might be associated with the cardioprotective effect.

A Comparison of Interpretable Machine Learning Approaches to Identify Outpatient Clinical Phenotypes Predictive of First Acute Myocardial Infarction

BACKGROUND

Acute myocardial infarctions are deadly to patients and burdensome to healthcare systems. Most recorded infarctions are patients' first, occur out of the hospital, and often are not accompanied by cardiac comorbidities. The clinical manifestations of the underlying pathophysiology leading to an infarction are not fully understood and little effort exists to use explainable machine learning to learn predictive clinical phenotypes before hospitalization is needed.

METHODS

We extracted outpatient electronic health record data for 2641 case and 5287 matched-control patients, all without pre-existing cardiac diagnoses, from the Michigan Medicine Health System. We compare six different interpretable, feature extraction approaches, including temporal computational phenotyping, and train seven interpretable machine learning models to predict the onset of first acute myocardial infarction within six months.

RESULTS

Using temporal computational phenotypes significantly improved the model performance compared to alternative approaches. The mean cross-validation test set performance exhibited area under the receiver operating characteristic curve values as high as 0.674. The most consistently predictive phenotypes of a future infarction include back pain, cardiometabolic syndrome, family history of cardiovascular diseases, and high blood pressure.

CONCLUSIONS

Computational phenotyping of longitudinal health records can improve classifier performance and identify predictive clinical concepts. State-of-the-art interpretable machine learning approaches can augment acute myocardial infarction risk assessment and prioritize potential risk factors for further investigation and validation.

Association between the use of electronic cigarettes and myocardial infarction in U.S. adults

BACKGROUND

Compared with conventional cigarettes, electronic cigarettes are less harmful in some studies. However, recent research may indicate the opposite. This study aimed to determine whether e-cigarette use is related to myocardial health in adults in the U.S.

METHODS

This study used data from the 2020 Behavioral Risk Factor Surveillance System (BRFSS), a cross-sectional survey of adult US residents aged 18 years or older. We examined whether e-cigarette use was related to myocardial infarction byapplying a logistic regression model to calculate odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

The final analytical sample included 198,530 adults in the U.S. Logistic regression indicated that U.S. adults who reported being former and some days of e-cigarette use had 23% and 52% greater odds of ever having an MI, respectively, than did those who reported never using e-cigarettes (OR = 1.23, 95% CI 1.08-1.40, p = 0.001; OR = 1.52, 95% CI 1.10-2.09, p = 0.010).

CONCLUSIONS

The results suggest that former and someday users of e-cigarettes probably have increased odds of myocardial infarction in adults in the U.S. Further research is needed, including long-term follow-up studies on e-cigarettes, since it is still unknown whether they should be discouraged.

Comparison of the Clinical Manifestations of Acute Coronary Syndrome Between Diabetic and Non-diabetic Patients: A Systematic Review and Meta-Analysis

The presentation of acute coronary syndrome (ACS) in patients with type 2 diabetes mellitus (T2DM) may differ from that of non-diabetic patients, potentially leading to delayed diagnosis and treatment. This meta-analysis aimed to compare the clinical presentation of ACS between diabetic and non-diabetic patients. A systematic search of PubMed, Excerpta Medica database (EMBASE), and Web of Science databases was conducted for observational studies published from January 2010 onwards. Studies comparing ACS symptoms between diabetic and non-diabetic patients were included. The odds ratio (OR) with 95% confidence intervals (CI) was calculated using a random-effects model. Eight studies with a total of 29,503 patients (23.03% diabetic) were included. Diabetic patients were significantly less likely to present with chest pain compared to non-diabetic patients (OR: 0.43, 95% CI: 0.30 to 0.63, p<0.001). Anxiety (OR: 2.20, 95% CI: 1.17-4.14), shortness of breath (OR: 1.49, 95% CI: 1.11-2.01), and neck pain (OR: 1.62, 95% CI: 1.03-2.54) were significantly more common in diabetic patients. Sweating/cold sweat was less common in diabetics (OR: 0.60, 95% CI: 0.34-1.07), though not statistically significant. Other symptoms showed minimal differences between groups. High heterogeneity was observed across studies for most symptoms. This meta-analysis demonstrates that diabetic patients with ACS are less likely to experience typical chest pain and more likely to present with atypical symptoms such as anxiety, shortness of breath, and neck pain. These findings emphasize the need for healthcare providers to maintain high vigilance for atypical ACS presentations in diabetic patients. Tailored diagnostic approaches, modified triage protocols, and enhanced patient education are crucial to improving the timely diagnosis and treatment of ACS in this high-risk population.

Assessment of the Impact of Comorbidities on Outcomes in Non-ST Elevation Myocardial Infarction (NSTEMI) Patients: A Narrative Review

Non-ST-segment elevation myocardial infarction (NSTEMI) is associated with significant morbidity and mortality, occurring when the heart's need for oxygen cannot be met. It is defined by elevated cardiac biomarkers without ST-segment elevation and often carries a poorer prognosis than most ST-segment elevation events. NSTEMI usually results from severe coronary artery narrowing, transient occlusion, or microembolization of thrombus/atheromatous material. Patients with NSTEMI often have multiple comorbidities, which can worsen their prognosis and complicate treatment. This study aims to investigate the impact of comorbidities such as hypertension (HTN), diabetes mellitus (DM), chronic obstructive pulmonary disease (COPD), obesity, dyslipidemia, and smoking on patients with NSTEMI. The prevalence of each comorbidity is examined individually within the NSTEMI population to provide a clearer picture of how frequently these conditions co-occur with NSTEMI and how they affect the established NSTEMI treatment protocols.  This paper sheds light on the interaction between NSTEMI and commonly associated comorbidities through a comprehensive literature review and data analysis. This is critical for optimizing clinical decision-making and enhancing patient care, ultimately improving outcomes in this high-risk patient population.

Glycation in the cardiomyocyte

Glycation is a protein post-translational modification that can occur on lysine and arginine residues as a result of a non-enzymatic process known as the Maillard reaction. This modification is irreversible, so the only way it can be removed is by protein degradation and replacement. Small reactive carbonyl species, glyoxal and methylglyoxal, are the primary glycating agents and are elevated in several conditions associated with an increased risk of cardiovascular disease, including diabetes, rheumatoid arthritis, smoking, and aging. Thus, how protein glycation impacts the cardiomyocyte is of particular interest, to both understand how these conditions increase the risk of cardiovascular disease and how glycation might be targeted therapeutically. Glycation can affect the cardiomyocyte through extracellular mechanisms, including RAGE-based signaling, glycation of the extracellular matrix that modifies the mechanical environment, and signaling from the vasculature. Intracellular glycation of the cardiomyocyte can impact calcium handling, protein quality control and cell death pathways, as well as the cytoskeleton, resulting in a blunted contractility. While reducing protein glycation and its impact on the heart has been an active area of drug development, multiple clinical trials have had mixed results and these compounds have not been translated to the clinic-highlighting the challenges of modulating myocyte glycation. Here we will review protein glycation and its effects on the cardiomyocyte, therapeutic attempts to reverse these, and offer insight as to the future of glycation studies and patient treatment.

CD8+ T and NK cells characterized by upregulation of NPEPPS and ABHD17A are associated with the co-occurrence of type 2 diabetes and coronary artery disease

Background

Coronary artery disease (CAD) and type 2 diabetes mellitus (T2DM) are closely related. The function of immunocytes in the pathogenesis of CAD and T2DM has not been extensively studied. The quantitative bioinformatics analysis of the public RNA sequencing database was applied to study the key genes that mediate both CAD and T2DM. The biological characteristics of associated key genes and mechanism of CD8+ T and NK cells in CAD and T2DM are our research focus.

Methods

With expression profiles of GSE66360 and GSE78721 from the Gene Expression Omnibus (GEO) database, we identified core modules associated with gene co-expression relationships and up-regulated genes in CAD and T2DM using Weighted Gene Co-expression Network Analysis (WGCNA) and the 'limma' software package. The enriched pathways of the candidate hub genes were then explored using GO, KEGG and GSEA in conjunction with the immune gene set (from the MSigDB database). A diagnostic model was constructed using logistic regression analysis composed of candidate hub genes in CAD and T2DM. Univariate Cox regression analysis revealed hazard ratios (HRs), 95% confidence intervals (CIs), and p-values for candidate hub genes in diagnostic model, while CIBERSORT and immune infiltration were used to assess the immune microenvironment. Finally, monocytes from peripheral blood samples and their immune cell ratios were analyzed by flow cytometry to validate our findings.

Results

Sixteen candidate hub genes were identified as being correlated with immune infiltration. Univariate Cox regression analysis revealed that NPEPPS and ABHD17A were highly correlated with the diagnosis of CAD and T2DM. The results indicate that CD8+ T cells (p = 0.04) and NKbright cells (p = 3.7e-3) are significantly higher in healthy controls than in individuals with CAD or CAD combined with T2DM. The bioinformatics results on immune infiltration were well validated by flow cytometry.

Conclusions

A series of bioinformatics studies have shown ABHD17A and NPEPPS as key genes for the co-occurrence of CAD and T2DM. Our study highlights the important effect of CD8+ T and NK cells in the pathogenesis of both diseases, indicating that they may serve as viable targets for diagnosis and therapeutic intervention.

Deep learning-based long-term risk evaluation of incident type 2 diabetes using electrocardiogram in a non-diabetic population: a retrospective, multicentre study

Background

Diabetes is a major public health concern. We aimed to evaluate the long-term risk of incident type 2 diabetes in a non-diabetic population using a deep learning model (DLM) detecting prevalent type 2 diabetes using electrocardiogram (ECG).

Methods

In this retrospective study, participants who underwent health checkups at two tertiary hospitals in Seoul, South Korea, between Jan 1, 2001 and Dec 31, 2022 were included. Type 2 diabetes was defined as glucose ≥126 mg/dL or glycated haemoglobin (HbA1c) ≥ 6.5%. For survival analysis on incident type 2 diabetes, we introduced an additional variable, diabetic ECG, which is determined by the DLM trained on ECG and corresponding prevalent diabetes. It was assumed that non-diabetic individuals with diabetic ECG had a higher risk of incident type 2 diabetes than those with non-diabetic ECG. The one-dimensional ResNet-based model was adopted for the DLM, and the Guided Grad-CAM was used to localise important regions of ECG. We divided the non-diabetic group into the diabetic ECG group (false positive) and the non-diabetic ECG (true negative) group according to the DLM decision, and performed a Cox proportional hazard model, considering the occurrence of type 2 diabetes more than six months after the visit.

Findings

190,581 individuals were included in the study with a median follow-up period of 11.84 years. The areas under the receiver operating characteristic curve for prevalent type 2 diabetes detection were 0.816 (0.807-0.825) and 0.762 (0.754-0.770) for the internal and external validations, respectively. The model primarily focused on the QRS duration and, occasionally, P or T waves. The diabetic ECG group exhibited an increased risk of incident type 2 diabetes compared with the non-diabetic ECG group, with hazard ratios of 2.15 (1.82-2.53) and 1.92 (1.74-2.11) for internal and external validation, respectively.

Interpretation

In the non-diabetic group, those whose ECG was classified as diabetes by the DLM were at a higher risk of incident type 2 diabetes than those whose ECG was not. Additional clinical research on the relationship between the phenotype of ECG and diabetes to support the results and further investigation with tracked data and various ECG recording systems are suggested for future works.

Funding

National Research Foundation of Korea.

Do patients with diabetes with new onset acute myocardial infarction present with different symptoms than non-diabetic patients?

Background

The objective of this study was to investigate the differences in presenting symptoms between patients with and without diabetes being diagnosed with an acute myocardial infarction (AMI).

Methods

A total of 5,900 patients with a first-time AMI were included into the analysis. All patients aged between 25 and 84 years were recorded by the population-based Myocardial Infarction Registry in Augsburg, Germany, between 2010 and 2017. The presence (yes/no) of 12 AMI typical symptoms during the acute event was assessed within the scope of a face-to-face interview. Multivariable adjusted logistic regression models were calculated to analyze the associations between presenting symptoms and diabetes mellitus in AMI patients.

Results

Patients with diabetes had significantly less frequent typical pain symptoms, including typical chest pain. Also, other symptoms like sweating, vomiting/nausea, dizziness/vertigo and fear of death/feeling of annihilation occurred significantly more likely in non-diabetic patients. The only exception was the symptom of shortness of breath, which was found significantly more often in patients with diabetes. In multivariable-adjusted regression models, however, the observed effects were attenuated. In patients younger than 55 years, the associations between diabetes and various symptoms were mainly missing.

Conclusions

Type 2 diabetes mellitus is a risk factor not only for the development of AMI, but is also associated with an adverse outcome after AMI. Atypical clinical presentation additionally complicates the diagnostic process. It is therefore essential for physicians to be aware of the more often atypical symptoms that diabetic AMI patients report.

Safety and Efficacy of Early SGLT2 Inhibitors Initiation in Diabetic Patients Following Acute Myocardial Infarction, a Retrospective Study

INTRODUCTION

Sodium-glucose cotransporter- 2 (SGLT2) inhibitors have become a cornerstone in heart failure (HF), Type 2 diabetes mellitus (T2DM), and cardiovascular disease (CVD) management. In the current retrospective study, we aimed to assess efficacy and safety of SGLT2 inhibitors early following acute myocardial infarction (AMI).

METHODS

Patients with T2DM hospitalized for AMI in 2017-2020 were divided according to SGLT2 inhibitors therapy status on discharge (with vs without therapy). Primary outcome was defined as a composite of hospitalizations for HF, recurrent AMI, and cerebrovascular accident (CVA). Secondary outcomes included hospitalizations for any cause, total cumulative number of hospitalizations, and all-cause mortality.

RESULTS

A total of 69 patients (mean age 59.2 ± 8.2 years) with AMI discharged with SGLT2 inhibitors were compared to 253 patients (mean age 62.5 ± 9.8) with no SGLT2 inhibitors. During the first year post-AMI, 4 (5.8%) patients in the treatment group and 16 (6.3%) in the control group were hospitalized for CV events (p = 1.0). Patients in the SGLT2 inhibitors group had lower rates of hospitalization for any cause (31.9% vs 47.8%, P = 0.02), with no change in mortality (0% vs 3.6%, P = 0.21). After multivariate regression analysis, only female gender was associated with increased risk for readmission, mainly due to urinary tract infections. No events of diabetic ketoacidosis (DKA) or limb amputation were reported.

CONCLUSIONS

We found that early initiation of SGLT2 inhibitors in T2DM patients following AMI is safe and decreases the risk of hospitalization for any cause.

Evolution of the search for a common mechanism of congenital risk of coronary heart disease and type 2 diabetes mellitus in the chromosomal locus 9p21.3

9.21.3 chromosomal locus predisposes to coronary heart disease (CHD) and type 2 diabetes mellitus (DM2), but their overall pathological mechanism and clinical applicability remain unclear. The review uses publications of the study results of 9.21.3 chromosomal locus in association with CHD and DM2, which are important for changing the focus of clinical practice. The eligibility criteria are full-text articles published in the PubMed database (MEDLINE) up to December 31, 2022. A total of 56 publications were found that met the inclusion criteria. Using the examples of the progressive stages in understanding the role of the chromosomal locus 9p.21.3, scientific ideas were grouped, from a fragmentary study of independent pathological processes to a systematic study of the overall development of CHD and DM2. The presented review can become a source of new scientific hypotheses for further studies, the results of which can determine the general mechanism of the congenital risk of CHD and DM2 and change the focus of clinical practice.

The role of C-peptide in diabetes and its complications: an updated review

Worldwide, diabetes and its complications have seriously affected people's quality of life and become a serious public health problem. C-peptide is not only an indicator of pancreatic β-cell function, but also a biologically active peptide that can bind to cell membrane surface signaling molecules and activate downstream signaling pathways to play antioxidant, anti-apoptotic and inflammatory roles, or regulate cellular transcription through internalization. It is complex how C-peptide is related to diabetic complications. Both deficiencies and overproduction can lead to complications, but their mechanisms of action may be different. C-peptide replacement therapy has shown beneficial effects on diabetic complications in animal models when C-peptide is deficient, but results from clinical trials have been unsatisfactory. The complex pattern of the relationship between C-peptide and diabetic chronic complications has not yet been fully understood. Future basic and clinical studies of C-peptide replacement therapies will need to focus on baseline levels of C-peptide in addition to more attention also needs to be paid to post-treatment C-peptide levels to explore the optimal range of fasting C-peptide and postprandial C-peptide maintenance.

Optimal medical therapy improves outcomes in patients with diabetes mellitus and acute myocardial infarction

AIMS

We aimed to explored the association between the use of optimal medical therapy (OMT) in patients with myocardial infarction (AMI) and diabetes mellitus (DM) and clinical outcomes.

METHODS

Bleeding complications in a Multicenter registry of patients discharged with diagnosis of Acute Coronary Syndrome (BleeMACS) is an international registry that enrolled participants with acute coronary syndrome followed up for at least 1 year across 15 centers from 2003 to 2014. Baseline characteristics and endpoints were analyzed.

RESULTS

Among 3095 (23.2%) patients with AMI and DM, 1898 (61.3%) received OMT at hospital discharge. OMT was associated with significantly reduced mortality (4.3% vs. 10.8%, p < 0.001), re-AMI (4.4% vs. 8.1%, p < 0.001), and composite endpoint of death/re-AMI (8.0% vs. 17.6%, p < 0.001). No difference was observed among regions. Propensity score matching confirmed that OMT significantly associated with lower mortality. After adjusting for confounding variables, OMT, drug-eluting stents, and complete revascularization were independent protective factors of 1-year mortality, whereas left ventricular ejection fraction and age were risk factors.

CONCLUSIONS

Guideline-recommended OMT was prescribed at suboptimal frequencies with geographic variations in this worldwide cohort. OMT can improve long-term clinical outcomes in patients with DM and AMI.

CLINICAL TRIAL REGISTRATION

NCT02466854 June 9, 2015.

Polygenic risk scores point toward potential genetic mechanisms of type 2 myocardial infarction in people with HIV

BACKGROUND

People with human immunodeficiency virus (HIV) infection (PWH) are at higher risk of myocardial infarction (MI) than those without HIV. About half of MIs in PWH are type 2 (T2MI), resulting from mismatch between myocardial oxygen supply and demand, in contrast to type 1 MI (T1MI), which is due to primary plaque rupture or coronary thrombosis. Despite worse survival and rising incidence in the general population, evidence-based treatment recommendations for T2MI are lacking. We used polygenic risk scores (PRS) to explore genetic mechanisms of T2MI compared to T1MI in PWH.

METHODS

We derived 115 PRS for MI-related traits in 9541 PWH enrolled in the Centers for AIDS Research Network of Integrated Clinical Systems cohort with adjudicated T1MI and T2MI. We applied multivariate logistic regression analyses to determine the association with T1MI and T2MI. Based on initial findings, we performed gene set enrichment analysis of the top variants composing PRS associated with T2MI.

RESULTS

We found that T1MI was strongly associated with PRS for cardiovascular disease, lipid profiles, and metabolic traits. In contrast, PRS for alcohol dependence and cholecystitis, significantly enriched in energy metabolism pathways, were predictive of T2MI risk. The association remained after the adjustment for actual alcohol consumption.

CONCLUSIONS

We demonstrate distinct genetic traits associated with T1MI and T2MI among PWH further highlighting their etiological differences and supporting the role of energy regulation in T2MI pathogenesis.

Myocardial Infarction Susceptibility and the MTNR1B Polymorphisms

Melatonin is a circadian hormone with antioxidant properties that protects against myocardial ischemia-reperfusion injury. Genetic variations of the melatonin receptor 1B gene (MTNR1B) play an important role in the development of type 2 diabetes, a risk factor for cardiovascular diseases. Accordingly, MTNR1B polymorphisms are crucial in numerous disorders of the cardiovascular system. Therefore, the aim of the present study was to investigate a possible association of MTNR1B polymorphisms with chronotype and susceptibility to myocardial infarction. The present case-control study included 199 patients with myocardial infarction (MI) (57% men) and 198 control participants (52% men) without previous cardiovascular diseases who underwent genotyping for the MTNR1B polymorphisms rs10830963, rs1387153, and rs4753426 from peripheral blood samples. Chronotype was determined using the Morningness-Eveningness Questionnaire (MEQ). As estimated by the chi-square test, no significant association was found in the distribution of alleles and genotypes between myocardial infarction patients and controls. In addition, there was no association between MTNR1B polymorphisms and chronotype in MI patients. As some previous studies have shown, the present negative results do not exclude the role of the MTNR1B polymorphisms studied in the development of myocardial infarction. Rather, they may indicate that MTNR1B polymorphisms are a minor risk factor for myocardial infarction.

Risk Factors of Secondary Cardiovascular Events in a Multi-Ethnic Asian Population with Acute Myocardial Infarction: A Retrospective Cohort Study from Malaysia

This retrospective cohort study investigated the incidence and risk factors of major adverse cardiovascular events (MACE) after 1 year of first-documented myocardial infarctions (MIs) in a multi-ethnic Asian population. Secondary MACE were observed in 231 (14.3%) individuals, including 92 (5.7%) cardiovascular-related deaths. Both histories of hypertension and diabetes were associated with secondary MACE after adjustment for age, sex, and ethnicity (HR 1.60 [95%CI 1.22-2.12] and 1.46 [95%CI 1.09-1.97], respectively). With further adjustments for traditional risk factors, individuals with conduction disturbances demonstrated higher risks of MACE: new left-bundle branch block (HR 2.86 [95%CI 1.15-6.55]), right-bundle branch block (HR 2.09 [95%CI 1.02-4.29]), and second-degree heart block (HR 2.45 [95%CI 0.59-10.16]). These associations were broadly similar across different age, sex, and ethnicity groups, although somewhat greater for history of hypertension and BMI among women versus men, for HbA1c control in individuals aged >50 years, and for LVEF ≤ 40% in those with Indian versus Chinese or Bumiputera ethnicities. Several traditional and cardiac risk factors are associated with a higher risk of secondary major adverse cardiovascular events. In addition to hypertension and diabetes, the identification of conduction disturbances in individuals with first-onset MI may be useful for the risk stratification of high-risk individuals.

Exosomes and lipid metabolism in metabolic and cardiovascular disorders

PURPOSE OF REVIEW

Exosomes are lipid-bound particles that carry lipids, protein, and nucleic acid and affect cellular function. This review highlights the current knowledge on the crosstalk between exosomes and lipid metabolism and their impact on cardiometabolic disease.

RECENT FINDINGS

Recent studies revealed that lipids and lipid metabolizing enzymes are important for exosome biogenesis and internalization and conversely how exosomes affect lipid metabolism, secretion, and degradation. The interplay between exosomes and lipid metabolism affects disease pathophysiology. More importantly, exosomes and lipids might function as biomarkers for diagnosis and prognosis or possibly therapies.

SUMMARY

Recent advances in our understanding of exosomes and lipid metabolism have implications for our understanding of normal cellular and physiological functions as well as disease pathogenesis. Exosome and lipid metabolism have implications in novel diagnostic tests and treatments of cardiometabolic disease.

P, Unnikrishnan AG, Thacker H, Sethi B, Chowdhury S, Sugumaran A, Mohanasundaram S, Menon SK, Salvi V, Chodankar D, Thaker S, Trivedi C, Wangnoo SK, Zargar AH, Rais N. Two-year trends from the LANDMARC study: A 3-year, pan-India, prospective, longitudinal study on the management and real-world outcome in patients with type 2 diabetes mellitus

INTRODUCTION

There are limited data on the real-world management of diabetes in the Indian population. In this 2-year analysis of the LANDMARC study, the management of type 2 diabetes mellitus (T2DM) and related complications were assessed.

METHOD

This multicenter, observational, prospective study included adults aged ≥25 to ≤60 years diagnosed with T2DM (duration ≥2 years at enrollment) and controlled/uncontrolled on ≥2 anti-diabetic agents. This interim analysis at 2 years reports the status of glycaemic control, diabetic complications, cardiovascular (CV) risks and therapy, pan-India including metropolitan and non-metropolitan cities.

RESULTS

Of the 6234 evaluable patients, 5318 patients completed 2 years in the study. Microvascular complications were observed in 17.6% of patients (1096/6234); macrovascular complications were observed in 3.1% of patients (195/6234). Higher number of microvascular complications were noted in patients from non-metropolitan than in metropolitan cities (p < .0001). In 2 years, an improvement of 0.6% from baseline (8.1%) in mean glycated haemoglobin (HbA1c) was noted; 20.8% of patients met optimum glycaemic control (HbA1c < 7%). Hypertension (2679/3438, 77.9%) and dyslipidaemia (1776/3438, 51.7%) were the predominant CV risk factors in 2 years. The number of patients taking oral anti-diabetic drugs in combination with insulin increased in 2 years (baseline: 1498/6234 [24.0%] vs. 2 years: 1917/5763 [33.3%]). While biguanides and sulfonylureas were the most commonly prescribed, there was an evident increase in the use of dipeptidyl peptidase-IV inhibitors (baseline: 3049/6234, 48.9% vs. 2 years: 3526/5763, 61.2%).

CONCLUSION

This longitudinal study represents the control of T2DM, its management and development of complications in Indian population.

CLINICAL TRIAL REGISTRATION NUMBER

CTRI/2017/05/008452.

Association of metabolic comorbidity with myocardial infarction in individuals with a family history of cardiovascular disease: a prospective cohort study

Background

The association between metabolic comorbidity and myocardial infarction (MI) among individuals with a family history of cardiovascular disease (CVD) is yet to be elucidated. We aimed to examine the combined effects of metabolic comorbidities, including diabetes mellitus, hypertension, and dyslipidemia, with a family history of CVD in first-degree on the risk of incident MI.

Methods

This cohort study consisted of 81,803 participants aged 40–89 years without a previous history of MI at baseline from the Korean Genome and Epidemiology Study. We performed Cox proportional hazard regression analysis to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for MI and early-onset MI risk associated with metabolic comorbidity in individuals with a family history of CVD.

Results

During a median follow-up of 5 years, 1,075 and 479 cases of total and early-onset MI were reported, respectively. According to the disease score, among individuals who had a positive family history of CVD, the HRs for MI were 1.92 (95% CI: 1.47–2.51) in individuals with one disease, 2.75 (95% CI: 2.09–3.61) in those with two diseases, and 3.74 (95% CI: 2.45–5.71) in those with three diseases at baseline compared to individuals without a family history of CVD and metabolic diseases. Similarly, an increase of the disease score among individuals with a positive family history of CVD was associated with an increase in early-onset MI risk.

Conclusion

Metabolic comorbidity was significantly associated with an increased risk of MI among individuals with a family history of CVD.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14330-2.

Diabetes Mellitus Is Still a Strong Predictor of Periprocedural Outcomes of Primary Percutaneous Coronary Interventions in Patients Presenting with ST-Segment Elevation Myocardial Infarction (from the ORPKI Polish National Registry)

The impact of diabetes mellitus (DM) on outcomes of patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI) was confirmed by several studies. However, it is unclear whether this effect is still present in large groups of unselected patients undergoing up-to-date treatment. Thus, we sought to assess the impact of DM on periprocedural outcomes of primary PCI in STEMI using data from the Polish National Registry of PCI. Data on 150,782 STEMI patients undergoing primary PCI were collected. Of them, 26,360 (17.5%) patients had DM. Patients with DM were higher-risk individuals who experienced longer reperfusion delays and were less likely to have closed infarct-related artery at baseline (TIMI 0 + 1 flow: 73.2% vs. 72.0%; p < 0.0001) and achieve optimal reperfusion after PCI (TIMI 3 flow: 91.8% vs. 88.5%; p < 0.0001). The periprocedural mortality (1.1% vs. 1.9%; p < 0.0001) was higher in patients with DM and DM was identified as an independent predictor of periprocedural death. In conclusion, despite continuous progress in STEMI treatment, DM remains a strong predictor of periprocedural mortality. However, this detrimental effect of DM may be partially explained by the overall higher risk profile of diabetic patients.

In-hospital risk stratification algorithm of Asian elderly patients

Limited research has been conducted in Asian elderly patients (aged 65 years and above) for in-hospital mortality prediction after an ST-segment elevation myocardial infarction (STEMI) using Deep Learning (DL) and Machine Learning (ML). We used DL and ML to predict in-hospital mortality in Asian elderly STEMI patients and compared it to a conventional risk score for myocardial infraction outcomes. Malaysia's National Cardiovascular Disease Registry comprises an ethnically diverse Asian elderly population (3991 patients). 50 variables helped in establishing the in-hospital death prediction model. The TIMI score was used to predict mortality using DL and feature selection methods from ML algorithms. The main performance metric was the area under the receiver operating characteristic curve (AUC). The DL and ML model constructed using ML feature selection outperforms the conventional risk scoring score, TIMI (AUC 0.75). DL built from ML features (AUC ranging from 0.93 to 0.95) outscored DL built from all features (AUC 0.93). The TIMI score underestimates mortality in the elderly. TIMI predicts 18.4% higher mortality than the DL algorithm (44.7%). All ML feature selection algorithms identify age, fasting blood glucose, heart rate, Killip class, oral hypoglycemic agent, systolic blood pressure, and total cholesterol as common predictors of mortality in the elderly. In a multi-ethnic population, DL outperformed the TIMI risk score in classifying elderly STEMI patients. ML improves death prediction by identifying separate characteristics in older Asian populations. Continuous testing and validation will improve future risk classification, management, and results.

Platelet-Neutrophil Interaction and Thromboinflammation in Diabetes: Considerations for Novel Therapeutic Approaches

Thromboinflammation has become a topic of key interest in cardiovascular disease and the prevention of diabetes complications because of the interplay between thrombosis and inflammation in diabetes. Specifically, the significant risk of vascular thrombotic disease in diabetes highlights the need for new and better therapeutic targets to help manage and prevent vascular thrombo-occlusive disease in this condition. Similarly, the prominent role of inflammation in diabetes has sparked interest in anti-inflammatory agents to better prevent and control vascular disease. Investigations on the effects of anticoagulation and antiplatelet interventions in patients with diabetes and cardiovascular disease show a potential role for these agents in decreasing morbidity and mortality. Neutrophils and platelets are key players in inflammation and wound-healing response, respectively. The interaction between neutrophils and platelets is thought to be an important driver of thromboinflammation. Therefore, this review describes the mechanisms involved in platelet-neutrophil interactions that contribute to the development or exacerbation of thromboinflammation in the context of diabetes and its associated comorbidities. The effects observed by the antithrombotic/antidiabetic treatments and physical activity/dietary interventions on attenuating thromboinflammation are discussed. These data suggest that mechanisms involved in platelet-neutrophil interaction, platelet activation/aggregation, and the recruitment of neutrophils have a promising potential to become therapeutic targets to decrease thromboinflammation in patients with diabetes.

Effect of Glucose Levels on Cardiovascular Risk

Cardiovascular diseases remain the leading cause of death and disability. The development of cardiovascular diseases is traditionally associated with various risk factors, most of which are somehow related to an unhealthy lifestyle (smoking, obesity, lack of physical activity, etc.). There are also risk factors associated with genetic predisposition, as well as the presence of concomitant diseases, especially chronic ones. One of the most striking examples is, of course, type 2 diabetes. This metabolic disorder is associated with impaired carbohydrate metabolism. The main clinical manifestation of type 2 diabetes is elevated blood glucose levels. The link between diabetes and CVD is well known, so it is logical to assume that elevated glucose levels may be important, to some extent, in the context of heart and vascular disease. In this review, we tried to summarize data on the possible role of blood glucose as a risk factor for the development of CVD.

Impact of diabetes on outcomes of cardiogenic shock: A systematic review and meta-analysis

To provide synthesized evidence on the association of diabetes with clinical outcomes of patients with acute myocardial infarction (AMI) and associated cardiogenic shock (CS). We analyzed observational studies on patients with AMI and CS, identified through a systematic search using PubMed and Scopus databases. The main outcome was mortality and other outcomes of interest were risk of major bleeding, re-infarction, cerebrovascular adverse events, and need for revascularization. We conducted the meta-analysis with data from 15 studies. Compared to patients without diabetes, those with diabetes had an increased risk of in-hospital mortality (OR, 1.34; 95% CI, 1.17-1.54) and cerebrovascular complications (OR, 1.28; 95% CI, 1.11-1.48). We found similar risk of major bleeding (OR, 0.68; 95% CI, 0.43-1.09), re-infarction (OR, 0.98; 95% CI, 0.48-1.98) and need for re-vascularization (OR, 0.96; 95% CI, 0.75-1.22) as well as hospital stay lengths (in days) (WMD 0.00; 95% CI, -0.27-0.28; n = 4; I² = 99.7%) in the two groups of patients. Patients with diabetes, acute MI and associated cardiogenic shock have increased risks of mortality and adverse cerebrovascular events than those without diabetes.

Undiagnosed Impaired Glucose Tolerance and Type-2 Diabetes in Acute Myocardial Infarction Patients: Fequency, Characteristics and Long-Term Mortality

Background

In this study we investigated the prevalence of undiagnosed impaired glucose tolerance and type-2-diabetes (T2D) among patients with acute myocardial infarction (AMI) and prospectively analyzed whether these patients have a higher long-term mortality.

Methods

The analysis was based on 2,317 AMI patients aged 25–84 years from the population-based Myocardial Infarction Registry Augsburg, recruited between 2009 and 2014 and followed-up until 2019 (median follow-up time 6.5 years [IQR: 4.9–8.1]). AMI patients with a diagnosis of diabetes were divided into a high (>7.0%) and a low HbA1c group (≤7.0%) according to HbA1c values at admission. The remaining patients (without known diabetes) were grouped into normal (<5.7%), elevated (5.7–6.4%), and high (≥6.5%) HbA1c groups. In a multivariable-adjusted COX regression analysis, the association between HbA1c groups and long-term mortality was investigated. Linear regression models were used to identify AMI patients with elevated HbA1c values by means of personal characteristics.

Results

At admission, 29.5% of all patients reported a diagnosis of diabetes. Of all patients without known diabetes, 5.4% had HbA1c values of ≥ 6.5 and 37.9% had HbA1c values between 5.7 and 6.4%. The fully adjusted Cox regression model showed a non-significant trend toward higher long-term mortality for AMI patients with increased HbA1c values (HbA1c 5.7–6.4% HR: 1.05 [0.79–1.38], HbA1c > 6.5% HR: 1.34 [0.77–2.31]). A linear regression model including the variables admission serum glucose, BMI, age, sex and type of infarction (STEMI, NSTEMI) showed only poor prediction of HbA1c values (R²: 11.08%).

Conclusion

A fairly high number of AMI patients without known diabetes have elevated HbA1c values. Though we could not prove a higher risk of premature mortality in these patients, early detection and adequate therapy might lead to reduced diabetes-associated complications and improve long-term outcomes.

Comorbidity of Type 2 Diabetes Mellitus and Depression: Clinical Evidence and Rationale for the Exacerbation of Cardiovascular Disease

Depression is a common comorbidity of type 2 diabetes mellitus (T2DM). T2DM with comorbid depression increases the risk of cardiovascular events and death. Depression and T2DM and its macrovascular complications exhibited a two-way relationship. Regarding treatment, antidepressants can affect the development of T2DM and cardiovascular events, and hypoglycemic drugs can also affect the development of depression and cardiovascular events. The combination of these two types of medications may increase the risk of the first myocardial infarction. Herein, we review the latest research progress in the exacerbation of cardiovascular disease due to T2DM with comorbid depression and provide a rationale and an outlook for the prevention and treatment of cardiovascular disease in T2DM with comorbid depression.

Significance of Lipid Profile Parameters in Predicting Pre-Diabetes

In prediabetes, blood glucose levels are higher than normal; however, they remain below the diabetes threshold. Studies conducted on biomarkers for this disease result in controlling diabetes mellitus (DM) or reducing the risk of developing complications. Lipid profile parameters are considered important predictors of DM. Therefore, this study was conducted on three groups of normoglycemic (n=30), pre-diabetics (n=125), and diabetics (n=30) to recognize the predictive role of lipid parameters in the transition from pre-diabetes to diabetes. In this experiment, in addition to total cholesterol and triglycerides, very-low-density lipoprotein (VLDL), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride/HDL ratio, and fasting triglyceride-fasting blood glucose (FBG) index were measured. Based on the results, medians for total cholesterol, LDL, HDL, LDL/HDL ratio, cholesterol/HDL ratio, and LDL/HDL ratio did not differ significantly across the groups of normoglycemia, prediabetes, and diabetes. For triglyceride, the medians were significantly higher in pre-diabetes and also diabetes, compared to normoglycemia (i.e., 127.9 and 129.1 vs. 94.5 mg/dL, respectively [P<0.001]). Moreover, the same results were observed in the case of VLDL (i.e., 25.6 and 30.9 vs. 18.9 mg/dL, respectively). The triglyceride/HDL ratio significantly increased pre-diabetics and diabetics, compared to normoglycemic (2.72 and 2.67 vs. 2.18, respectively). Moreover, the median of the triglyceride-FBG index significantly had an increase in pre-diabetics and diabetics, compared to normoglycemic (8.89 and 9.38 vs. 8.22, respectively). The importance of triglyceride, VLDL, triglyceride/HDL ratio, and triglyceride-FBG index in distinguishing between pre-diabetes and normoglycemia was verified by a receiver operating characteristic curve analysis of the results. Logistic regression analysis confirmed the risk effects of the four parameters on pre-diabetes and diabetes. Therefore, triglyceride, VLDL, triglyceride-FBG index, and triglyceride/HDL ratio are considered promising biomarkers used to predict pre-diabetes and DM in the general population.

Influence of the Triglyceride-Glucose Index on Adverse Cardiovascular and Cerebrovascular Events in Prediabetic Patients With Acute Coronary Syndrome

BACKGROUND

Cardiovascular disease and insulin resistance are closely related. The triglyceride-glucose (TyG) index is frequently used as an indicator of insulin resistance. However, there is scant information on the TyG index in the prediabetic population, nor is the prognostic significance of the index known for prediabetes and acute coronary syndrome (ACS) patients.

METHODS

The clinical endpoint was a major adverse cardiovascular and cerebrovascular event (MACCEs), including cardiac-related death, non-fatal myocardial infarction, ischemia-driven revascularization, and stroke. The TyG index was calculated as = ln [(triglyceride level, mg/dL) × (glucose level, mg/dL)÷2] under fasting conditions.

RESULTS

The study included 2,030 prediabetic patients with ACS. Patients were followed up for 2.5 years, during which the total incidence of MACCEs was 12%. After adjustment for covariates, the TyG index was found to be predictive of prediabetes with ACS (HR 4.942, 95%CI: 3.432-6.115, P<0.001). Using propensity score matching, 574 pairs were successfully matched, and the two groups were analyzed in terms of survival. This showed that there was a significantly greater incidence of MACCEs in patients with high TyG indices (HR 3.526, 95%CI: 2.618-4.749, P<0.001), mainly due to ischemia-driven revascularization and stroke.

CONCLUSIONS

The TyG index independently predicts future MACCEs and may be an important prognostic indicator for patients with prediabetes and ACS.

Exacerbated post-infarct pathological myocardial remodelling in diabetes is associated with impaired autophagy and aggravated NLRP3 inflammasome activation

Background

Diabetes mellitus (DM) patients surviving myocardial infarction (MI) have substantially higher mortality due to the more frequent development of subsequent pathological myocardial remodelling and concomitant functional deterioration. This study investigates the molecular pathways underlying accelerated cardiac remodelling in a well‐established mouse model of diabetes exposed to MI.

Methods and results

Myocardial infarction in DM mice was established by ligating the left anterior descending coronary artery. Cardiac function was assessed by echocardiography. Myocardial hypertrophy and cardiac fibrosis were determined histologically 6 weeks post‐MI or sham operation. Autophagy, the NLRP3 inflammasome, and caspase‐1 were evaluated by western blotting or immunofluorescence. Echocardiographic imaging revealed significantly increased left ventricular dilation in parallel with increased mortality after MI in DM mice (53.33%) compared with control mice (26.67%, P < 0.05). Immunoblotting, electron microscopy, and immunofluorescence staining for LC3 and p62 indicated impaired autophagy in DM + MI mice compared with control mice (P < 0.05). Furthermore, defective autophagy was associated with increased NLRP3 inflammasome and caspase‐1 hyperactivation in DM + MI mouse cardiomyocytes (P < 0.05). Consistent with NLRP3 inflammasome and caspase‐I hyperactivation, cardiomyocyte death and IL‐1β and IL‐18 secretion were increased in DM + MI mice (P < 0.05). Importantly, the autophagy inducer and the NLRP3 inhibitor attenuated the cardiac remodelling of DM mice after MI.

Conclusion

In summary, our results indicate that DM aggravates cardiac remodelling after MI through defective autophagy and associated exaggerated NLRP3 inflammasome activation, proinflammatory cytokine secretion, suggesting that restoring autophagy and inhibiting NLRP3 inflammasome activation may serve as novel targets for the prevention and treatment of post‐infarct remodelling in DM.

The Role of Combined SGLT1/SGLT2 Inhibition in Reducing the Incidence of Stroke and Myocardial Infarction in Patients with Type 2 Diabetes Mellitus

PURPOSE

In patients with type 2 diabetes mellitus (T2DM), both sodium-glucose cotransporter 2 inhibitors (SGLT2is) and glucagon-like peptide receptor agonists (GLP-1 RAs) have demonstrated significant improvements in cardiovascular and kidney outcomes independent of their glycemic benefits. This paper will briefly compare the effect of SGLT2is and GLP-1 RAs to that of the SGLT1/2 inhibitor sotagliflozin on the incidence of myocardial infarction (MI) and stroke in patients with T2DM and further postulate mechanisms to account for these findings.

METHODS AND RESULTS

Thus far, the results from SCORED and SOLOIST (trials studying the SGLT1/2 inhibitor sotagliflozin) suggest that an increase in SGLT1 inhibition when added to SGLT2 inhibition may contribute to reductions in MI and stroke in patients with T2DM. This benefit is beyond what SGLT2is alone can accomplish and at least similar to GLP-1 RAs but with the added benefit of a reduction in hospitalizations and urgent visits for HF. Larger and longer studies are required to confirm the effectiveness of SGLT1/SGLT2 inhibition in reducing MI and stroke in patients with T2DM and elucidate the mechanisms associated with this finding.

CONCLUSIONS

The role of SGLT1/2 inhibition as an addition to GLP-1 RAs in patients with and without T2DM at increased risk for MI and stroke requires further study. Regardless, the finding that a relative increase in SGLT1/2 inhibition reduces the risk of MI and stroke as well as hospitalizations and urgent visits for heart failure could improve quality of life and reduce the healthcare burden associated with T2DM.