Predicting cardiovascular risk in type 2 diabetes: the heterogeneity challenges

Cardiovascular outcomes of SGLT-2 inhibitors' subtypes in type 2 diabetes; an updated systematic review and meta-analysis of randomized controlled trials

Introduction

The effects of Sodium-glucose cotransporter-2 (SGLT-2) inhibitors on cardiac outcomes, cardiovascular mortality (CVM), and all-cause mortality (ACM) in type 2 diabetes mellitus (T2DM) patients have been reported heterogeneously in different studies.

Methods

PubMed, Scopus, Embase, Cochrane Library, and Scholar databases were searched with relevant MeSH terms from January 1, 2010, to November 14, 2023. The study used Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The primary outcomes in all trials included the risk of ACM, CVM, hospitalization for heart failure (HHF), myocardial infarction (MI), and cerebrovascular accidents (CVA) in T2DM patients who were treated with one of the SGLT-2 inhibitors. Heterogeneity between studies was evaluated using Cochran's Q and I2 tests. The Egger's test was used to check for publication bias.

Results

Eighteen studies, including 70,830 participants, were included. A pooled estimate showed that SGLT-2 inhibitor treatment was significantly associated with reduced ACM (OR: 0.82, 95% CI: 0.75-0.90, p-value: 0.001, I2: 35.1%), CVM (OR: 0.88, 95% CI: 0.80-0.96, p-value: 0.001, I2: 0%), MI (OR: 0.88, 95% CI: 0.79-0.98, p-value: 0.001, I2: 0%), and HHF (OR: 0.67, 95% CI: 0.58-0.77, p-value: 0.001). SGL-2 inhibitor treatment had no significant relationship with CVA (stroke) (OR: 0.95, 95% CI: 0.8-1.10, p-value: 0.896). Subgroup analysis showed that the effect of SGLT-2 inhibitor treatment on outcomes varied based on the type of SGLT-2 inhibitor.

Conclusion

SGLT-2 inhibitor treatment significantly reduced CVM, ACM, MI, and HHF. Empagliflozin, Canagliflozin, and Dapagliflozin significantly reduced ACM. Canagliflozin was significantly associated with a reduction in CVM. All SGLT-2 inhibitor treatments were associated with a reduction in HHF.

Global Trends in LADA Type Diabetes Research: A Bibliometric Analysis of Publications from Web of Science and Scopus, 1994-2024

The prevalence of T2DM has been increasing dramatically over recent decades, about 537 million people in 2021. LADA type diabetes, a subtype of diabetes that exhibits characteristics of both T2DM and autoimmune beta-cell destruction similar to T1DM, but with a later onset. The aim of this study is to analyze the main research field on LADA type, including analysis of countries, institutions, journals, authors, and keywords. This research utilized a descriptive bibliometric design. We collected and analyzed data from 672 publications indexed in the Web of Science and Scopus databases, covering the period from 1994 to January 2024. The bibliometric analysis included English-language research articles that involved studies on patients with LADA type diabetes, aged 18 years or older. RStudio and the Bibliometrix R package were used for data merging and for performing statistical and visual analyses. The annual publication shows an upward trend over the period, with the highest number of publications per year in 2021. The study showed that China leads in the number of articles, with 101 papers published. The United Kingdom demonstrates significant international collaborations, particularly with Germany. The top institutions in terms of the number of published articles are the Norwegian University of Science and Technology in the Kingdom of Norway, followed by the Central South University in China. Tuomi has shown significant long-term publication impact, while Zhou ranks among the most frequently cited authors. Diabetes Care is one of the most important scientific journals in diabetology with the highest impact factor of 16.2. This abstract summarizes a comprehensive bibliometric analysis that provides insights into the global research field of LADA type, underscoring the importance of international collaboration and the significant contributions of leading countries and institutions in shaping our understanding of this complex subtype of diabetes.

The influence of diabetes on sleep-derived cardiorespiratory features of the finger pulse wave signal - The population-based SCAPIS study

STUDY OBJECTIVES

Advanced signal processing of photoplethysmographic data enables novel analyses which may improve the understanding of the pathogenesis of dysglycemia associated with sleep disorders. We aimed to identify sleep-related pulse wave characteristics in diabetic patients compared to normoglycemic individuals, independent of cardiovascular-related comorbidities.

METHODS

This cross-sectional evaluation of the population-based Swedish CArdioPulmonary bioImage Study (SCAPIS) included overnight oximetry-derived pulse wave data from 3997 subjects (45 % males, age 50-64 years). Metabolic status was classified as normoglycemic (n = 3220), pre-diabetic (n = 544), or diabetic (n = 233). Nine validated pulse wave features proposed to influence cardiovascular risk were derived and compared between metabolic status groups. Logistic prediction models and genetic matching were applied to capture diabetes-related pulse wave characteristics during sleep. The model was controlled for anthropometrics, lifestyle, sleep apnea, and in the final adjustment even for cardiometabolic factors like dyslipidaemia, hypertension, and coronary artery calcification.

RESULTS

Pulse wave-derived parameters differed between normoglycemic and diabetic individuals in eight dimensions in unadjusted as well as in the partially adjusted model (anthropometric factors and sleep apnea, p ≤ 0.001). All covariates confirmed significant differences between normoglycemic and diabetic subjects (all p ≤ 0.001). Reduced cardio-respiratory coupling (respiratory-related pulse oscillations) (β = -0.010, p = 0.012), as well as increased vascular stiffness (shortened pulse propagation time (β = -0.015, p = 0.001), were independently associated with diabetes even when controlled for cardiometabolic factors. These results were confirmed through a matched cohort comparative analysis.

CONCLUSIONS

Photoplethysmographic pulse wave analysis during sleep can be utilized to capture multiple features of modified autonomic regulation and cardiovascular consequences in diabetic subjects. Dampened heart rate variability and increased vascular stiffness during sleep showed the strongest associations with diabetes.

Circulating PCSK9 as a prognostic biomarker of cardiovascular events in individuals with type 2 diabetes: evidence from a 16.8-year follow-up study

BACKGROUND

Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of morbidity and mortality, being twofold to fourfold more common in patients with type 2 diabetes mellitus (T2DM) than in individuals without diabetes. However, despite this decade-old knowledge, the identification of a specific prognostic risk biomarker remains particularly challenging.

METHODS

Taking advantage of a large sample of Caucasian patients (n = 529) with a diagnosis of T2DM followed for a median of 16.8 years, the present study was aimed at testing the hypothesis that fasting serum proprotein convertase subtilisin/kexin type 9 (PCSK9) levels could be prognostic for major adverse cardiovascular events (MACE) and all-cause mortality.

RESULTS

Median levels of PCSK9 were 259.8 ng/mL, being higher in women compared to men and increasing even more in the presence of a complication (e.g., diabetic kidney disease). PCSK9 positively correlated with markers of blood glucose homeostasis (e.g., HbA1c, fasting insulin and HOMA-IR) and the atherogenic lipid profile (e.g., non-HDL-C, apoB and remnant cholesterol). Serum PCSK9 predicted new-onset of MACE, either fatal or non-fatal, only in women (Odds Ratio: 2.26, 95% CI 1.12-4.58) and all-cause mortality only in men (Hazard Ratio: 1.79, 95% CI 1.13-2.82).

CONCLUSIONS

Considering that up to two-thirds of individuals with T2DM develop ASCVD in their lifetime, the assessment of circulating PCSK9 levels can be envisioned within the context of a biomarker-based strategy of risk stratification. However, the sex difference found highlights an urgent need to develop sex-specific risk assessment strategies.

TRIAL REGISTRATION

It is a retrospective study.

Extent of subclinical atherosclerosis on coronary computed tomography and impact of statins in patients with diabetes without known coronary artery disease: Results from CONFIRM registry

BACKGROUND

Absence of subclinical atherosclerosis is considered safe to defer statin therapy in general population. However, impact of statins on atherosclerotic cardiovascular disease in patients with diabetes stratified by coronary artery calcium (CAC) scores and extent of non-obstructive CAD on coronary computed tomography angiography (CCTA) has not been evaluated.

METHODS

CONFIRM (Coronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multi-center Registry) study enrolled consecutive adults 18 years of age between 2005 and 2009 who underwent ³64-detector row CCTA for suspected CAD. The long-term registry includes data on 12,086 subjects who underwent CCTA at 17 centers in 9 countries. In this sub-study of CONFIRM registry, patients with diabetes mellitus (DM) and without diabetes mellitus with normal CCTA or non-obstructive plaque (<50 % diameter stenosis) for whom data on baseline statin use was available were included. CAC score was calculated using Agatston score. The magnitude of non-obstructive coronary artery disease on CCTA was quantified using segment involvement score (SIS). Primary outcome was major cardiovascular events (MACE) which included all-cause mortality, myocardial infarction, and target vessel re-vascularization.

RESULTS

A total of 7247 patients (Mean age 56.8 years) with a median follow up of 5 years were included. For DM patients, baseline statin therapy significantly reduced MACE for patients with CAC ≥100 (HR: 0.24; 95 % CI 0.07-0.87; p = 0.03) and SIS≥3 (HR: 0.23; 95 % CI 0.06-0.83; p = 0.024) compared to those not on statin therapy. Among Diabetics with lower CAC (<100) and SIS (≤3) scores, MACE was similar in statin and non-statin groups. In contrast, among non-DM patients, MACE was similar in statin and no statin groups irrespective of baseline CAC (1-99 or ≥100) and SIS.

CONCLUSION

In this large multicenter cohort of patients, the presence and extent of subclinical atherosclerosis as assessed by CAC and SIS identified patients most likely to derive benefit from statin therapy.

Dyslipidemia in Diabetes: When and How to Treat?

Elevated triglyceride and reduced high-density lipoprotein cholesterol (HDL-C) are common in type 2 diabetes, but increased atherogenic particles and dysfunctional HDL are demonstrable in both types 1 and 2 diabetes, contributing to a two-fold increase in atherosclerotic cardiovascular disease (ASCVD). ASCVD risk accelerates with diabetes duration and severity, aging, risk factors, and risk enhancers. Using statins or other LDL-C-lowering agents if needed in adults with intermediate or greater degrees of risk is recommended. Although hypertriglyceridemia enhances risk, most guidelines do not recommend fibrates or omega 3 fatty acid for risk reduction except for icosapent ethyl in patients with ASCVD.

Incidence of myocardial infarction in people with diabetes compared to those without diabetes: a systematic review protocol

BACKGROUND

Diabetes mellitus is an established risk factor for acute myocardial infarction (AMI). Incidence of AMI in people with diabetes remains significantly higher than in those without diabetes. However, published data are conflicting, and previous reviews in this field have some limitations regarding the definitions of AMI and source population (general population or people with diabetes as a population at risk) and concerning the statistical presentation of results.

AIMS

To analyse the incidence of AMI in people with diabetes compared to those without diabetes and to investigate time trends.

METHODS

We will perform a systematic literature search in MEDLINE, Embase and LILACS designed by an experienced information scientist. Two review authors will independently screen the abstracts and full texts of all references on the basis of inclusion criteria regarding types of study, types of population and the main outcome. Data extraction and assessment of risk of bias will be undertaken by two review authors working independently. We will assess incidence rate or cumulative incidence and relative risk of AMI comparing populations with and without diabetes.

DISCUSSION

This review will summarise the available data concerning the incidence of AMI in people with and without diabetes and will thus contribute to the assessment and interpretation of the wide variations of incidence, relative risks and time trends of AMI in these populations.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42020145562.

Value of addition of coronary artery calcium to risk scores in the prediction of major cardiovascular events in patients with type 2 diabetes

BACKGROUND

The increased risk for cardiovascular events in diabetics is heterogeneous and contemporary clinical risk score calculators have limited predictive value. We therefore examined the additional value of coronary artery calcium score (CACS) in outcome prediction in type 2 diabetics without clinical coronary artery disease (CAD).

METHODS

The study examined a population-based cohort of type 2 diabetics (n = 735) aged 55-74 years, recruited between 2006 and 2008. Patients had at least one additional risk factor and no history or symptoms of CAD. Risk assessment tools included Pooled Cohort Equations (PCE) and Multi-Ethnic Study of Atherosclerosis (MESA) 10-year risk score calculators and CACS. The occurrence of myocardial infarction (MI), stroke or cardiovascular death (MACE) was assessed over 10-years.

RESULTS

Risk score calculators predicted MACE and MI and cardiovascular death individually but not stroke. Increasing levels of CACS predicted MACE and its components independently of clinical risk scores, glycated hemoglobin and other baseline variables: hazard ratio (95% confidence interval) 2.92 (1.06-7.86), 6.53 (2.47-17.29) and 8.3 (3.28-21) for CACS of 1-100, 101-300 and > 300 Agatston units respectively, compared to CACS = 0. Addition of CACS to PCE improved discrimination of MACE [AUC of PCE 0.615 (0.555-0.676) versus PCE + CACS 0.696 (0.642-0.749); p = 0.0024]. Coronary artery calcium was absent in 24% of the study population and was associated with very low event rates even in those with high estimated risk scores.

CONCLUSIONS

CACS in asymptomatic type 2 diabetics provides additional prognostic information beyond that obtained from clinical risk scores alone leading to better discrimination between risk categories.

Ischemic and bleeding risk by type 2 diabetes clusters in patients with acute coronary syndrome

The risk of ischemic events carried by different clusters of type 2 diabetes mellitus (DM) in the setting of secondary prevention is not definite and the association between DM and bleeding complications is controversial. We explored these issues in the START-ANTIPLATELET, a multicenter Italian registry including acute coronary syndrome (ACS) patients. Study outcome was 1-year incidence of the net composite endpoint including major adverse cardiovascular events (MACE) or any bleeding and its individual components across different DM strata (no DM, DM with or without insulin). Out of 951 patients, 20.0% had diabetes not on insulin and 2.5% had diabetes on insulin. The rate of the net composite endpoint was highest in patients receiving insulin (39.4 per 100 person-years vs 11.7 in diabetic patients not on insulin vs 14.0 in those without DM; p = 0.007). In DM, the higher risk of MACE was regardless of insulin use (p = 0.36). Conversely, the increase in bleeding complications was limited to patients on insulin (Hazard Ratio 2.31, 95% CI 0.93-5.71 vs no DM; p = 0.0105 across DM strata). On top of aspirin, the rates of the net composite endpoint were similar with ticagrelor/prasugrel or clopidogrel irrespective of DM status (p for interaction 0.63). In conclusion, in ACS patients, type 2 DM enhances the risk of MACE regardless of the DM cluster, whereas the propensity to bleeding related to DM seems confined to insulin-treated patients.

miR-33 in cardiometabolic diseases: lessons learned from novel animal models and approaches

miRNAs have emerged as critical regulators of nearly all biologic processes and important therapeutic targets for numerous diseases. However, despite the tremendous progress that has been made in this field, many misconceptions remain among much of the broader scientific community about the manner in which miRNAs function. In this review, we focus on miR‐33, one of the most extensively studied miRNAs, as an example, to highlight many of the advances that have been made in the miRNA field and the hurdles that must be cleared to promote the development of miRNA‐based therapies. We discuss how the generation of novel animal models and newly developed experimental techniques helped to elucidate the specialized roles of miR‐33 within different tissues and begin to define the specific mechanisms by which miR‐33 contributes to cardiometabolic diseases including obesity and atherosclerosis. This review will summarize what is known about miR‐33 and highlight common obstacles in the miRNA field and then describe recent advances and approaches that have allowed researchers to provide a more complete picture of the specific functions of this miRNA.

Predicting Australian Adults at High Risk of Cardiovascular Disease Mortality Using Standard Risk Factors and Machine Learning

Effective cardiovascular disease (CVD) prevention relies on timely identification and intervention for individuals at risk. Conventional formula-based techniques have been demonstrated to over- or under-predict the risk of CVD in the Australian population. This study assessed the ability of machine learning models to predict CVD mortality risk in the Australian population and compare performance with the well-established Framingham model. Data is drawn from three Australian cohort studies: the North West Adelaide Health Study (NWAHS), the Australian Diabetes, Obesity, and Lifestyle study, and the Melbourne Collaborative Cohort Study (MCCS). Four machine learning models for predicting 15-year CVD mortality risk were developed and compared to the 2008 Framingham model. Machine learning models performed significantly better compared to the Framingham model when applied to the three Australian cohorts. Machine learning based models improved prediction by 2.7% to 5.2% across three Australian cohorts. In an aggregated cohort, machine learning models improved prediction by up to 5.1% (area-under-curve (AUC) 0.852, 95% CI 0.837–0.867). Net reclassification improvement (NRI) was up to 26% with machine learning models. Machine learning based models also showed improved performance when stratified by sex and diabetes status. Results suggest a potential for improving CVD risk prediction in the Australian population using machine learning models.

Impact of sodium glucose cotransporter 2 (SGLT2) inhibitors on atherosclerosis: from pharmacology to pre-clinical and clinical therapeutics

Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are new oral drugs for the therapy of patients with type 2 diabetes mellitus (T2DM). Research in the past decade has shown that drugs of the SGLT2i class, such as empagliflozin, canagliflozin, and dapagliflozin, have pleiotropic effects in preventing cardiovascular diseases beyond their favorable impact on hyperglycemia. Of clinical relevance, recent landmark cardiovascular outcome trials have demonstrated that SGLT2i reduce major adverse cardiovascular events, hospitalization for heart failure, and cardiovascular death in T2DM patients with/without cardiovascular diseases (including atherosclerotic cardiovascular diseases and various types of heart failure). The major pharmacological action of SGLT2i is through inhibiting glucose re-absorption in the kidney and thus promoting glucose excretion. Studies in experimental models of atherosclerosis have shown that SGLT2i ameliorate the progression of atherosclerosis by mechanisms including inhibition of vascular inflammation, reduction in oxidative stress, reversing endothelial dysfunction, reducing foam cell formation and preventing platelet activation. Here, we summarize the anti-atherosclerotic actions and mechanisms of action of SGLT2i, with an aim to emphasize the clinical utility of this class of agents in preventing the insidious cardiovascular complications accompanying diabetes.

Therapeutic potential of mitochondrial uncouplers for the treatment of metabolic associated fatty liver disease and NASH

Background

Mitochondrial uncouplers shuttle protons across the inner mitochondrial membrane via a pathway that is independent of adenosine triphosphate (ATP) synthase, thereby uncoupling nutrient oxidation from ATP production and dissipating the proton gradient as heat. While initial toxicity concerns hindered their therapeutic development in the early 1930s, there has been increased interest in exploring the therapeutic potential of mitochondrial uncouplers for the treatment of metabolic diseases.

Scope of review

In this review, we cover recent advances in the mechanisms by which mitochondrial uncouplers regulate biological processes and disease, with a particular focus on metabolic associated fatty liver disease (MAFLD), nonalcoholic hepatosteatosis (NASH), insulin resistance, and type 2 diabetes (T2D). We also discuss the challenges that remain to be addressed before synthetic and natural mitochondrial uncouplers can successfully enter the clinic.

Major conclusions

Rodent and non-human primate studies suggest that a myriad of small molecule mitochondrial uncouplers can safely reverse MAFLD/NASH with a wide therapeutic index. Despite this, further characterization of the tissue- and cell-specific effects of mitochondrial uncouplers is needed. We propose targeting the dosing of mitochondrial uncouplers to specific tissues such as the liver and/or developing molecules with self-limiting properties to induce a subtle and sustained increase in mitochondrial inefficiency, thereby avoiding systemic toxicity concerns.

Heterogeneity of diabetes as a risk factor for major adverse cardiovascular events in anticoagulated patients with atrial fibrillation: an analysis of the ARISTOTLE trial

AIMS

Whether diabetes without insulin therapy is an independent cardiovascular (CV) risk factor in atrial fibrillation (AF) has recently been questioned. We investigated the prognostic relevance of diabetes with or without insulin treatment in patients in the ARISTOTLE trial.

METHODS AND RESULTS

Patients with AF and increased stroke risk randomized to apixaban vs. warfarin were classified according to diabetes status: no diabetes; diabetes on no diabetes medications; diabetes on non-insulin antidiabetic drugs only; or insulin-treated. The associations between such patient subgroups and stroke/systemic embolism (SE), myocardial infarction (MI), and CV death were examined by Cox proportional hazard regression, both unadjusted and adjusted for other prognostic variables. Patients with diabetes were younger and had a higher body mass index. Median CHA2DS2VASc score was 4.0 in patients with diabetes and 3.0 in patients without diabetes. We found no significant difference in stroke/SE incidence across patient subgroups. Compared with no diabetes, only insulin-treated diabetes was significantly associated with higher risk. When adjusted for clinical variables, compared with no diabetes, the hazard ratios (HRs) for MI (95% confidence intervals) were for diabetes on no medication: 1.15 (0.62-2.14); for diabetes on non-insulin antidiabetic drugs: 1.32 (0.90-1.94); for insulin-treated diabetes: 2.34 (1.43-3.82); interaction P = 0.008. HRs for CV death were for diabetes on no medication: 1.19 (0.86-166); for diabetes on non-insulin antidiabetic drugs: 1.12 (0.88-1.42); for insulin-treated diabetes 1.85 (1.36-2.53), interaction P = 0.001.

CONCLUSION

In anticoagulated patients with AF, a higher risk of MI and CV death is largely confined to diabetes treated with insulin.

Clinical Approach to Assessment and Amelioration of Atherosclerotic Vascular Disease in Diabetes

Atherosclerotic cardiovascular disease is increased on average 2-3-fold in people with diabetes as compared to their non-diabetic counterparts and is the major cause of the increased morbidity and mortality in this disease. There is however heterogeneity in cardiovascular risk between individuals based on demographic, cardiometabolic and clinical risk factors in the setting of hyperglycemia, insulin resistance and obesity that needs to be taken into consideration in planning preventive interventions. Randomized clinical trials of agents or procedures used for amelioration of augmented CVD risk in diabetes have been pivotal in providing evidenced-based treatments. Improvement in hyperglycemia in both type 1 and type 2 diabetes is considered to be central in the prevention of microvascular and macrovascular complications although selected antihyperglycemic agents have demonstrated beneficial as well as possible deleterious off-target effects. Lowering low density lipoprotein cholesterol, treating hypertension and stopping smoking each play important roles in preventing cardiovascular disease in diabetes as they do in the general population and low dose aspirin is overall beneficial in high risk individuals. Hypertriglyceridemia may represent another important marker for augmented cardiovascular risk in diabetes and newer agents targeting dyslipidemia appear promising. The fall in cardiovascular events over the past two decades offers hope that modern intervention strategies as well as novel approaches such as those targeting inflammation may contribute to a continued reduction of cardiovascular disease in people with diabetes.

Cardiovascular Risk Heterogeneity in Adults with Diabetes: Selective Use of Coronary Artery Calcium in Statin Use Decision-making

Current American College of Cardiology/American Heart Association and American Diabetes Association guidelines recommend statin therapy for all patients with diabetes between the ages of 40 and 75, including those without cardiovascular disease (CVD). While diabetes is a major CVD risk factor, not all patients with diabetes have an equal risk of CVD. Thus, a more risk-based approach warrants consideration when recommending statin therapy for the primary prevention of CVD. Coronary artery calcium (CAC) is a noninvasive imaging modality that can help risk stratify patients with diabetes for future CVD events. CAC has been extensively studied in large cohorts such as the Multi-Ethnic Study of Atherosclerosis and found to outperform other novel risk stratification tools including carotid intima-media thickness. Moreover, a CAC score of 0 has been shown to be useful in downgrading the estimated risk of a CVD event in patients with diabetes and an intermediate Pooled Cohort Equation score. As clinicians weigh the recommendation for a lifelong therapy and the problem of statin nonadherence and patients weigh concerns about adverse effects of statins, the decision to initiate statin therapy in patients with diabetes is ideally a shared one between patients and providers, and CAC could facilitate this discussion.

Incremental risk of cardiovascular disease and/or chronic kidney disease for future ASCVD and mortality in patients with type 2 diabetes mellitus: ACCORD trial

BACKGROUND

Cardiovascular disease (CVD) and chronic kidney disease (CKD) are complications of type 2 diabetes mellitus (DM). Current cholesterol guidelines recommend the same prevention strategy for patients with DM alone as patients with DM + CKD. However, the incremental risk of these common complications for incident cardiovascular disease and mortality has not been well studied.

METHODS

We compared the incremental risk of having DM + CKD, DM + CVD and DM + CVD + CKD in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial participants for incident CVD as the primary outcome and all-cause mortality.

RESULTS

After a mean (SD) follow up of 4.7(1.4) years, 1,046(10%) participants developed CVD. DM +vCKD, DM + CVD, and DM + CKD + CVD had a significantly increased risk of the primary outcome compared to DM alone [adjusted hazard ratio(95%CI): 1.41 (1.06-1.89), p = 0.02; 2.20 (1.92-2.53), p < 0.001); 2.35 (1.81-3.04), p < 0.001), respectively]. All-cause mortality had a graded increased risk compared to the reference group [adjusted hazard ratio(95%CI): 1.39 (1.01-1.90), p = 0.04; 1.29 (1.51-2.12), p < 0.0001; 2.36 (1.75-3.13), p < 0.0001), respectively].

CONCLUSION

Our post hoc analysis shows an incremental graded risk for CVD outcomes and all-cause mortality with the development of CKD and/or CVD in individuals with DM.

Obesity and Insulin Resistance Promote Atherosclerosis through an IFNγ-Regulated Macrophage Protein Network

Type 2 diabetes (T2D) is associated with increased risk for atherosclerosis; however, the mechanisms underlying this relationship are poorly understood. Macrophages, which are activated in T2D and causatively linked to atherogenesis, are an attractive mechanistic link. Here, we use proteomics to show that diet-induced obesity and insulin resistance (obesity/IR) modulate a pro-atherogenic "macrophage-sterol-responsive-network" (MSRN), which, in turn, predisposes macrophages to cholesterol accumulation. We identify IFNγ as the mediator of obesity/IR-induced MSRN dysregulation and increased macrophage cholesterol accumulation and show that obesity/IR primes T cells to increase IFNγ production. Accordingly, myeloid cell-specific deletion of the IFNγ receptor (Ifngr1-/-) restores MSRN proteins, attenuates macrophage cholesterol accumulation and atherogenesis, and uncouples the strong relationship between hyperinsulinemia and aortic root lesion size in hypercholesterolemic Ldlr-/- mice with obesity/IR, but does not affect these parameters in Ldlr-/- mice without obesity/IR. Collectively, our findings identify an IFNγ-macrophage pathway as a mechanistic link between obesity/IR and accelerated atherogenesis.

Plasma proprotein-convertase-subtilisin/kexin type 9 (PCSK9) and cardiovascular events in type 2 diabetes

AIM

To investigate whether plasma concentrations of proprotein-convertase-subtilisin/kexin type 9 (PCSK9) were associated with cardiovascular (CV) events in two cohorts of patients with type 2 diabetes mellitus.

METHODS

We considered patients from the DIABHYCAR (n = 3137) and the SURDIAGENE (n = 1468) studies. Baseline plasma PCSK9 concentration was measured using an immunofluorescence assay. In post hoc, but preplanned, analyses we assessed the relationship between PCSK9 and the following endpoints: (1) a combined endpoint of major CV events: CV death, non-fatal myocardial infarction (MI), stroke and heart failure-related hospital admission; (2) a composite of all CV events: MI, stroke, heart failure-related hospital admission, coronary/peripheral angioplasty or bypass, CV death; (3) MI; (4) stroke/transient ischaemic attack (TIA); and (5) CV death.

RESULTS

In the DIABHYCAR study, plasma PCSK9 tertiles were associated with the incidence of MI, all CV events and stroke/TIA (P for trend <.05). In adjusted Cox analysis, plasma PCSK9 was associated, independently of classic risk factors, with the incidence of major CV events (hazard ratio [HR] for 1-unit increase of log[PCSK9] 1.28 [95% confidence interval {CI} 1.06-1.55]), the incidence of MI (HR 1.66 [95% CI 1.05-2.63]), and the incidence of all CV events (HR 1.22 [95% CI 1.04-1.44]), but not with CV death. Plasma PCSK9 was not associated with the incidence of CV disease in the participants of the SURDIAGENE study with high CV risk treated with statins and insulin.

CONCLUSIONS

We found that PCSK9 was inconsistently associated with CV events in populations with type 2 diabetes. The association may depend on the level of CV risk and the background treatment.

SGLT2 inhibitors with cardiovascular benefits: Transforming clinical care in Type 2 diabetes mellitus

Cardiovascular risk reduction in individuals with Type 2 diabetes mellitus (T2DM) is a key part of clinical management. Sodium-glucose co-transporter (SGLT2) inhibitors improve glycaemic control, reduce body weight and decrease blood pressure. In addition, the SGLT2 inhibitors empagliflozin and canagliflozin reduced the risk of composite cardiovascular events in high-risk individuals with T2DM in the EMPA-REG OUTCOME trial and the CANVAS Program, respectively. Empagliflozin also reduced cardiovascular deaths and improved renal outcomes. This class of agents should be considered in people with established cardiovascular disease, usually in combination with other glucose lowering medications, when satisfactory glycaemic control has not been achieved. The dose of insulin or sulfonylureas may need to be lowered when used with SGLT2 inhibitors, to reduce the risk of hypoglycaemia. Genitourinary infections can occur with SGLT2 inhibitors in a small proportion of people. In people with osteoporosis or prior amputation, it may be prudent to use empagliflozin rather than canagliflozin, based on the increased risk for bone fractures and amputations observed with canagliflozin in the CANVAS Program. SGLT2 inhibitors have the potential to transform the clinical care of persons with T2DM by not only improving glycaemic control but also reducing blood pressure, body weight and diabetes-related end-organ complications.

Retinopathy Signs Improved Prediction and Reclassification of Cardiovascular Disease Risk in Diabetes: A prospective cohort study

CVD risk prediction in diabetics is imperfect, as risk models are derived mainly from the general population. We investigate whether the addition of retinopathy and retinal vascular caliber improve CVD prediction beyond established risk factors in persons with diabetes. We recruited participants from the Singapore Malay Eye Study (SiMES, 2004-2006) and Singapore Prospective Study Program (SP2, 2004-2007), diagnosed with diabetes but no known history of CVD at baseline. Retinopathy and retinal vascular (arteriolar and venular) caliber measurements were added to risk prediction models derived from Cox regression model that included established CVD risk factors and serum biomarkers in SiMES, and validated this internally and externally in SP2. We found that the addition of retinal parameters improved discrimination compared to the addition of biochemical markers of estimated glomerular filtration rate (eGFR) and high-sensitivity C-reactive protein (hsCRP). This was even better when the retinal parameters and biomarkers were used in combination (C statistic 0.721 to 0.774, p = 0.013), showing improved discrimination, and overall reclassification (NRI = 17.0%, p = 0.004). External validation was consistent (C-statistics from 0.763 to 0.813, p = 0.045; NRI = 19.11%, p = 0.036). Our findings show that in persons with diabetes, retinopathy and retinal microvascular parameters add significant incremental value in reclassifying CVD risk, beyond established risk factors.

Psychosocial Factors in Diabetes and Cardiovascular Risk

Type 2 diabetes is a chronic disease that is increasing in prevalence globally. Cardiovascular disease is a major cause of mortality and morbidity in diabetes, and lifestyle and clinical risk factors do not fully account for the link between the conditions. This article provides an overview of the evidence concerning the role of psychosocial stress factors in diabetes risk, as well as in cardiovascular complications in people with existing diabetes. Several types of psychosocial factors are discussed including depression, other types of emotional distress, exposure to stressful conditions, and personality traits. The potential behavioral and biological pathways linking psychosocial factors to diabetes are presented and implications for patient care are highlighted.

CLOCK gene variation is associated with incidence of type-2 diabetes and cardiovascular diseases in type-2 diabetic subjects: dietary modulation in the PREDIMED randomized trial

BACKGROUND

Circadian rhythms regulate key biological processes influencing metabolic pathways. Disregulation is associated with type 2 diabetes (T2D) and cardiovascular diseases (CVD). Circadian rhythms are generated by a transcriptional autoregulatory feedback loop involving core clock genes. CLOCK (circadian locomotor output cycles protein kaput), one of those core genes, is known to regulate glucose metabolism in rodent models. Cross-sectional studies in humans have reported associations between this locus and obesity, plasma glucose, hypertension and T2D prevalence, supporting its role in cardiovascular risk. However, no longitudinal study has investigated the association between CLOCK gene variation and T2D or CVD incidence. Moreover, although in a previous work we detected a gene-diet interaction between the CLOCK-rs4580704 (C > G) single nucleotide polymorphism (SNP) and monounsaturated (MUFA) intake on insulin resistance, no interventional study has analyzed gene-diet interactions on T2D or CVD outcomes.

METHODS

We analyzed the association between the CLOCK-rs4580704 SNP and incidence of T2D and CVD longitudinally in 7098 PREDIMED trial (ISRCTN35739639) participants after a median 4.8-year follow-up. We also examined modulation by Mediterranean diet (MedDiet) intervention (high in MUFA) on these associations.

RESULTS

We observed a significant association between the CLOCK-rs4580704 SNP and T2D incidence in n = 3671 non-T2D PREDIMED participants, with variant allele (G) carriers showing decreased incidence (dominant model) compared with CC homozygotes (HR: 0.69; 95 % CI 0.54-0.87; P = 0.002). This protection was more significant in the MedDiet intervention group (HR: 0.58; 95 % CI 0.43-0.78; P < 0.001) than in the control group (HR: 0.95; 95 % CI 0.63-1.44; P = 0.818). Moreover, we detected a statistically significant interaction (P = 0.018) between CLOCK-rs4580704 SNP and T2D status on stroke. Thus, only in T2D subjects was CLOCK-rs4580704 SNP associated with stroke risk, G-carriers having decreased risk (HR: 0.61; 95 % CI 0.40-0.94; P = 0.024 versus CC) in the multivariable-adjusted model.

CONCLUSIONS

In agreement with our previous results showing a protective effect of the G-allele against hyperglycemia, we extended our findings by reporting a novel association with lower T2D incidence and also suggesting a dietary modulation. Moreover, we report for the first time an association between a CLOCK polymorphism and stroke in T2D subjects, suggesting that core clock genes may significantly contribute to increased CVD risk in T2D.

The pleiotropic effects of metformin: time for prospective studies

The global prevalence of diabetes has risen to epidemic proportions and the trend is predicted to continue. The consequent burden of cardiovascular morbidity and mortality is a major public health concern and new treatments are required to mitigate the deleterious effects of cardiovascular disease in diabetic patients. Ischaemia–reperfusion injury is well known to exacerbate the harmful effects of acute myocardial infarction and subsequent therapeutic reperfusion, and several mechanical and pharmacological approaches to mitigating this injury have been investigated. Metformin, which is cheap, relatively safe and widely used in type 2 diabetes, is one such pharmacotherapy with considerable pre-clinical evidence for cardioprotective utility beyond its glucose-lowering effect. However, despite convincing basic evidence its translation to clinical application has largely been limited to studies of cardiovascular risk. There are several barriers to prospective randomized assessment in the context of acute myocardial infarction, not least the accessibility and already widespread use of metformin among patients with type 2 diabetes at high risk of cardiovascular events. In the place of class 1 evidence, well-designed prospective cohort studies of the potential pleiotropic utility of metformin in cardiovascular disease, and particularly its benefit in ischaemia–reperfusion injury, are needed. Given the availability of metformin worldwide, this is particularly true in low- and middle-income countries where the optimal therapy for acute myocardial infarction, primary percutaneous coronary intervention, may not be available, and instead patients are managed with thrombolysis. As this is less effective, metformin as an adjunct to thrombolysis (or PPCI) could represent an effective, cheap means of cardioprotection with global relevance.