Baseline fasting plasma insulin levels predict risk for major adverse cardiovascular events among patients with diabetes and high-risk vascular disease: Insights from the ACCELERATE trial

Changes in Isoleucine, Sarcosine, and Dimethylglycine During OGTT as Risk Factors for Diabetes

CONTEXT

Current metabolomics studies in diabetes have focused on the fasting state, while only a few have addressed the satiated state.

OBJECTIVE

We combined the oral glucose tolerance test (OGTT) and metabolomics to examine metabolite-level changes in populations with different glucose tolerance statuses and to evaluate the potential risk of these changes for diabetes.

METHODS

We grouped participants into those with normal glucose tolerance (NGT), impaired glucose regulation (IGR), and newly diagnosed type 2 diabetes (NDM). During the OGTT, serum was collected at 0, 30, 60, 120, and 180 minutes. We evaluated the changes in metabolite levels during the OGTT and compared metabolic profiles among the 3 groups. The relationship between metabolite levels during the OGTT and risk of diabetes and prediabetes was analyzed using a generalized estimating equation (GEE). The regression results were adjusted for sex, body mass index, fasting insulin levels, heart rate, smoking status, and blood pressure.

RESULTS

Glucose intake altered metabolic profile and induced an increase in glycolytic intermediates and a decrease in amino acids, glycerol, ketone bodies, and triglycerides. Isoleucine levels differed between the NGT and NDM groups and between the NGT and IGR groups. Changes in sarcosine levels during the OGTT in the diabetes groups were opposite to those in glycine levels. GEE analysis revealed that during OGTT, isoleucine, sarcosine, and acetic acid levels were associated with NDM risks, and isoleucine and acetate levels with IGR risks.

CONCLUSION

Metabolic profiles differ after glucose induction in individuals with different glucose tolerance statuses. Changes in metabolite levels during OGTT are potential risk factors for diabetes development.

Hyperinsulinemia, an overlooked clue and potential way forward in metabolic dysfunction-associated steatotic liver disease

Metabolic dysfunction-associated steatotic liver disease is closely associated with other features of the metabolic syndrome such as type 2 diabetes. The progression of the disease may lead to liver fibrosis, which is the main predictor of major adverse liver outcomes. Insulin resistance plays a major role in the pathogenesis of the disease. A component of fasting hyperinsulinemia is a failure of the liver to adjust the peripheral level of insulin due to reduced clearance. The associated fasting hyperinsulinemia has been independently associated as a predictor of major adverse liver outcomes and major adverse cardiovascular events. In this review, we discuss the potential mechanism and entanglement between liver fibrosis and hyperinsulinemia, and we hypothesize that the measure of fasting insulin could become a hepatic functional test within the armamentarium of noninvasive tests for the assessment of Metabolic dysfunction-associated steatotic liver disease.

Glycemic and metabolic sub-classification of prediabetes and risk factors for cardiovascular disease in the D2d cohort

Objectives

Prediabetes represents a spectrum of metabolic abnormalities, including insulin resistance and secretory impairment, that carries increased cardiovascular disease (CVD) risk. It is unclear whether specific glycemic and metabolic sub-classifications are associated with CVD risk. This cross-sectional analysis of 3946 participants from the Vitamin D and Type 2 Diabetes (D2d) study cohort aimed to determine the associations between various baseline CVD risk factors, glycemic sub-classifications of prediabetes (FPG, 2hPG, and HbA1c), and measures of insulin sensitivity and secretion from an OGTT.

Methods

The metabolic syndrome and atherosclerotic cardiovascular disease (ASCVD) risk scores were determined for tertiles of insulin sensitivity (HOMA2S) and insulinogenic index (IGI). Unadjusted analyses showed elevated CVD risk factors in the lowest tertile for both IGI and HOMA2S.

Results

After adjustment for age, gender, race, obesity, and smoking status, the association remained between HOMA2S and ASCVD score (r = -0.11, p< 0.001) but not for IGI. Those who met at least 2 diagnosic criteria for prediabetes had the largest proportion (> 40%) of participants with high ASCVD risk score >20. A higher percentage of individuals that met all 3 criteria for prediabetes had metabolic syndrome and ASCVD risk score >20 (87.2% and 15.3%, respectively) than those who only met 1 prediabetes criterion (51.6% and 7.1%, respectively).

Conclusions

In conclusion, multiple metabolic (HOMA2S, IGI) and glycemic criteria of prediabetes (FPG, 2hPG, & HbA1c) are needed to fully recognize the elevated CVD risk profile that can manifest in prediabetes.

Evaluating Social Determinants of Health Variables in Advanced Analytic and Artificial Intelligence Models for Cardiovascular Disease Risk and Outcomes: A Targeted Review

Introduction/Purpose

Predictive models incorporating relevant clinical and social features can provide meaningful insights into complex interrelated mechanisms of cardiovascular disease (CVD) risk and progression and the influence of environmental exposures on adverse outcomes. The purpose of this targeted review (2018-2019) was to examine the extent to which present-day advanced analytics, artificial intelligence, and machine learning models include relevant variables to address potential biases that inform care, treatment, resource allocation, and management of patients with CVD.

Methods

PubMed literature was searched using the prespecified inclusion and exclusion criteria to identify and critically evaluate primary studies published in English that reported on predictive models for CVD, associated risks, progression, and outcomes in the general adult population in North America. Studies were then assessed for inclusion of relevant social variables in the model construction. Two independent reviewers screened articles for eligibility. Primary and secondary independent reviewers extracted information from each full-text article for analysis. Disagreements were resolved with a third reviewer and iterative screening rounds to establish consensus. Cohen's kappa was used to determine interrater reliability.

Results

The review yielded 533 unique records where 35 met the inclusion criteria. Studies used advanced statistical and machine learning methods to predict CVD risk (10, 29%), mortality (19, 54%), survival (7, 20%), complication (10, 29%), disease progression (6, 17%), functional outcomes (4, 11%), and disposition (2, 6%). Most studies incorporated age (34, 97%), sex (34, 97%), comorbid conditions (32, 91%), and behavioral risk factor (28, 80%) variables. Race or ethnicity (23, 66%) and social variables, such as education (3, 9%) were less frequently observed.

Conclusions

Predictive models should adjust for race and social predictor variables, where relevant, to improve model accuracy and to inform more equitable interventions and decision making.

Associations among carotid plaque progression, cerebrovascular/cardiovascular diseases and LDL-C/non-HDL-C goal achievement in diabetic patients: A retrospective cohort study

BACKGROUND

Impaired glycolipid metabolism can induce vascular injury and plaque formation. It is important to investigate the associations between carotid plaque progression and lipid-lowering goal achievement and cardiovascular disease.

METHODS

Diabetic patients who underwent at least 2 carotid ultrasound scans with intervals ≥0.5 years and were hospitalized in the Department of Endocrinology at Sun Yat-sen Memorial Hospital were included. Patients were divided into 3 groups based on carotid plaque progression: the persistent plaque absence, new-onset plaque and persistent plaque presence groups. The primary outcomes were CHD and stroke, while the secondary outcomes were low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) goal achievement.

RESULTS

There were 304 diabetic patients included, with a median follow-up period of 2.15 years. In multivariable logistic regression analysis, persistent plaque presence was positively associated with a 2.285-fold increase in coronary heart disease (CHD) prevalence, while new-onset plaque was associated with a 3.225-fold increase in stroke prevalence compared to persistent plaque absence in patients with follow-up periods ≥ 0.5 years. The association remained significant in patients with a follow-up period ≥ 1 year and ≥2 years. The velocity of average plaque length change was independently associated with increased ΔLDL-C (last - goal) (β = 0.073, P = 0.048).

CONCLUSION

Carotid plaque progression had long-term association with CHD and stroke starting from 0.5 years, while the velocity of average plaque length associated with increased ΔLDL-C (last - goal) might reflect patient response to statins. Repeated carotid plaque measurements might guide lipid-lowering therapies.

Pharmacological management of vascular endothelial dysfunction in diabetes: TCM and western medicine compared based on biomarkers and biochemical parameters

Diabetes, a worldwide health concern while burdening significant populace of countries with time due to a hefty increase in both incidence and prevalence rates. Hyperglycemia has been buttressed both in clinical and experimental studies to modulate widespread molecular actions that effect macro and microvascular dysfunctions. Endothelial dysfunction, activation, inflammation, and endothelial barrier leakage are key factors contributing to vascular complications in diabetes, plus the development of diabetes-induced cardiovascular diseases. The recent increase in molecular, transcriptional, and clinical studies has brought a new scope to the understanding of molecular mechanisms and the therapeutic targets for endothelial dysfunction in diabetes. In this review, an attempt made to discuss up to date critical and emerging molecular signaling pathways involved in the pathophysiology of endothelial dysfunction and viable pharmacological management targets. Importantly, we exploit some Traditional Chinese Medicines (TCM)/TCM isolated bioactive compounds modulating effects on endothelial dysfunction in diabetes. Finally, clinical studies data on biomarkers and biochemical parameters involved in the assessment of the efficacy of treatment in vascular endothelial dysfunction in diabetes was compared between clinically used western hypoglycemic drugs and TCM formulas.

Insulin sensitizer MSDC-0602K in non-alcoholic steatohepatitis: A randomized, double-blind, placebo-controlled phase IIb study

BACKGROUND & AIMS

MSDC-0602K is a novel insulin sensitizer designed to preferentially target the mitochondrial pyruvate carrier while minimizing direct binding to the transcriptional factor PPARγ. Herein, we aimed to assess the efficacy and safety of MSDC-0602K in patients with non-alcoholic steatohepatitis.

METHODS

Patients with biopsy-confirmed NASH and fibrosis (F1-F3) were randomized to daily oral placebo, or 1 of 3 MSDC-0602K doses in a 52-week double-blind study. The primary efficacy endpoint was hepatic histological improvement of ≥2 points in non-alcoholic fatty liver disease activity score (NAS) with a ≥1-point reduction in either ballooning or lobular inflammation and no increase in fibrosis stage at 12 months. Secondary endpoints included NAS improvement without worsening fibrosis, NASH resolution, and fibrosis reduction. Exploratory endpoints included changes in insulin sensitivity, liver injury and liver fibrosis markers.

RESULTS

Patients were randomly assigned to placebo (n = 94), or 62.5 mg (n = 99), 125 mg (n = 98), or 250 mg (n = 101) of MSDC-0602K. At baseline, glycated hemoglobin was 6.4 ± 1.0%, 61.5% of patients had fibrosis F2/F3 and the average NAS was 5.3. The primary endpoint was reached in 29.7%, 29.8%, 32.9% and 39.5% of patients in the placebo, 62.5 mg, 125 mg and 250 mg dose arms, respectively, with adjusted odds ratios relative to placebo of 0.89 (95% CI 0.44-1.81), 1.22 (95% CI 0.60-2.48), and 1.64 (95% CI 0.83-3.27). The 2 highest doses of MSDC-0602K led to significant reductions in glucose, glycated hemoglobin, insulin, liver enzymes and NAS compared to placebo. The incidence of hypoglycemia and PPARγ-agonist-associated events such as edema and fractures were similar in the placebo and MSDC-0602K groups.

CONCLUSIONS

MSDC-0602K did not demonstrate statistically significant effects on primary and secondary liver histology endpoints. However, effects on non-invasive measures of liver cell injury and glucose metabolism support further exploration of MSDC-0602K's safety and potential efficacy in patients with type 2 diabetes and liver injury. [ClinicalTrials.gov Identifier: NCT02784444].

LAY SUMMARY

First-generation insulin sensitizers are used to treat type 2 diabetes, but are associated with side effects including edema, bone fractures, and hypoglycemia. MSDC-0602K is a second-generation insulin sensitizer designed to reduce these side effects. We hypothesized that insulin sensitization could improve non-alcoholic steatohepatitis. In the current study of patients with non-alcoholic steatohepatitis, MSDC-0602K did not demonstrate significant effects on liver histology with the biopsy techniques used. However, useful information was gained for the design of future studies and MSDC-0602K significantly decreased fasting glucose, insulin, glycated hemoglobin, and markers of liver injury without dose-limiting side effects.

[Choosing Antithrombotic Therapy in Patients with Coronary Heart Disease and Type 2 Diabetes Mellitus: How to Reduce the Risk of Death]

This review presents prevalence of type 2 diabetes mellitus (DM) in patients with ischemic heart disease (IHD), risk factors in common, and a considerable worsening of prognosis in their combination. The authors addressed pathophysiological mechanisms of platelet dysfunction and negative changes in the coagulation system in IHD patients with type 2 DM, which predetermine activation of the prothrombotic pathway of hemostasis formation. Difficulties in optimal selection of antithrombotic therapy were demonstrated for both patients with type 2 DM without a history of cardiovascular diseases and IHD patients with type 2 DM. The authors paid attention to the fact that results of randomized clinical studies (RCS) that included patients with type 2 DM and acute coronary syndrome or after coronary revascularization cannot be extrapolated to the entire population of patients with stable IHD. At present, the preferable choice of antithrombotic therapy for patients with type 2 DM and stable IHD is a combination of rivaroxaban 2.5 mg twice a day and acetylsalicylic acid 100 mg/day. This combination provides a maximal clinical benefit compared to other strategies presented in RCS.

NASH (nonalcoholic steatohepatitis), diabetes, and macrovascular disease: multiple chronic conditions and a potential treatment at the metabolic root

Introduction: NASH and type 2 diabetes (T2D) are clinical definitions that overlap and result from metabolic dysfunction caused by over-nutrition relative to metabolic need. This volume details drug development programs aimed at specific NASH pathology with a focus on liver outcomes; this commentary suggests a metabolic approach that should not be overlooked based on a new understanding of insulin sensitizers.Areas covered: The overlap of NASH and T2D with respect to metabolic syndrome is discussed in the context of new understandings of insulin sensitizers. Adverse clinical outcomes in subjects with advanced NAFLD (e.g. NASH) and advanced metabolic dysfunction (e.g., T2D) are primarily due to cardiovascular issues. Clinical evidence suggests that insulin resistance and hyperinsulinemia predict adverse cardiovascular outcomes. NALFD/NASH significantly contributes to insulin resistance and hyperinsulinemia. A new insulin sensitizer that targets the newly identified mitochondrial pyruvate carrier could provide an approach.Expert opinion: A metabolic approach is needed for the treatment of NASH. Clinical studies are underway to determine whether a new insulin sensitizer that targets pyruvate metabolism can impact NASH, T2D, and cardiovascular disease. A broader view of metabolic disease may provide a more assessable way to track therapeutic benefit.