The pleiotropic cardiovascular effects of sodium-glucose cotransporter-2 inhibitors

The outcomes of SGLT-2 inhibitor utilization in diabetic kidney transplant recipients

Sodium-glucose cotransporter 2 inhibitors (SGLT-2i) have demonstrated efficacy in reducing cardiovascular events and potentially improving kidney function in diabetic patients. This investigation analyzes the TriNetX database to assess the efficacy of SGLT-2i in diabetic kidney transplant recipients (KTR) concerning all-cause mortality, major adverse cardiac events (MACE), and major adverse kidney events (MAKE). The study includes type 2 diabetic patients over 18 who underwent kidney transplants between June 1, 2015, and June 1, 2023, with a focus on SGLT-2i use within the first three months post-transplant. After propensity score matching, the study compares 1970 SGLT-2i users with matched non-users. With a median follow-up of 3.4 years, SGLT-2i users showed significantly lower rates of all-cause mortality (adjusted hazard ratio [aHR]: 0.32), MACE (aHR: 0.48), and MAKE (aHR: 0.52). These findings indicate that SGLT-2i significantly reduces mortality and adverse events in diabetic KTR, underscoring its potential to improve post-transplant outcomes.

Dapagliflozin: A Promising Strategy to Combat Cisplatin-Induced Hepatotoxicity in Wistar Rats

Recognizing the challenges posed by chemotherapy, specifically the hepatotoxic effects of drugs like cisplatin, this study aimed to examine the hepatoprotective potential of dapagliflozin to mitigate cisplatin-induced hepatotoxicity in a rat model. This study focused on repurposing drugs such as dapagliflozin and natural agents like silymarin as potential interventions to address cisplatin-induced hepatotoxicity. Thirty adult female Wistar rats were distributed into five groups and treated with cisplatin alone, silymarin, dapagliflozin, or a combination of dapagliflozin and silymarin accordingly for 45 days. Body weight, fasting blood glucose levels, liver function tests, and histopathological analysis were conducted to evaluate the hepatoprotective effects. Cisplatin-induced hepatotoxicity significantly (p < 0.05) increased the serum levels of ALT, AST, TB, and reduced the TP and albumin levels. Dapagliflozin administration led to significant reductions in ALT, AST, TB, and increased albumin levels. Silymarin demonstrated comparable effects. Combining dapagliflozin and silymarin showed synergistic effects, further reducing the liver enzymes and improving albumin levels. Histopathological examination supported these findings, revealing the restoration of liver structure with dapagliflozin and silymarin treatment. Dapagliflozin and silymarin exhibited substantial hepatoprotective benefits against cisplatin-induced hepatotoxicity in rats. The combination therapy demonstrated synergistic effects, highlighting a potential therapeutic approach for mitigating chemotherapy-induced liver damage. Further research into molecular mechanisms and clinical translation is warranted, offering hope for improved clinical outcomes in cancer patients undergoing cisplatin-based chemotherapy.

Unlocking Synergistic Hepatoprotection: Dapagliflozin and Silymarin Combination Therapy Modulates Nuclear Erythroid 2-Related Factor 2/Heme Oxygenase-1 Pathway in Carbon Tetrachloride-Induced Hepatotoxicity in Wistar Rats

This study was aimed to investigate the hepatoprotective potential of dapagliflozin and silymarin alone and in combination to combat carbon tetrachloride (CCl4)-induced hepatotoxicity and the anticipated mechanisms. Thirty female Wistar rats were randomly allocated into five different groups. All the experimental animals except the normal control (Group I) were administered CCl4. Additionally, Groups II, III, IV, and V were treated with gum acacia, silymarin, dapagliflozin, and a combination of dapagliflozin and silymarin, respectively, for 14 days. Dapagliflozin, silymarin alone, and in combination, significantly reduced (p < 0.05) serum levels of ALT, AST, AST:ALT ratio, and total bilirubin compared to CCl4-intoxicated control rats. There was a notable reduction (p < 0.05) observed in the levels of IL-1beta, IL-6, TNF-alpha, nitrites, and 4-hydroxynonenal, accompanied by an elevation in catalase, superoxide dismutase, glutathione peroxidase, nuclear erythroid 2-related factor 2 (Nrf2), and heme oxygenase-1 (HO-1) in liver homogenates of the groups treated with dapagliflozin, silymarin alone, and in combination, as compared to the CCl4-intoxicated control group. Dapagliflozin in combination with silymarin showed a synergistic hepatoprotective effect. Our study reveals the profound hepatoprotective potential of dapagliflozin alone and in combination with silymarin in CCl4-intoxicated Wistar rats by modulating the Nrf2 and HO-1 signaling pathways.

Sodium-glucose cotransporter type 2 inhibitors and cardiac arrhythmias

The introduction of sodium-glucose cotransporter 2 (SGLT2) inhibitors as a new and effective class of therapeutic agents for type 2 diabetes (T2D) preventing the reabsorption of glucose in the kidneys and thus facilitating glucose excretion in the urine, but also as agents with cardiovascular benefits, particularly in patients with heart failure (HF), regardless of the diabetic status, has ushered in a new era in treating patients with T2D and/or HF. In addition, data have recently emerged indicating an antiarrhythmic effect of the SGLT2 inhibitors in patients with and without diabetes. Prospective studies, randomized controlled trials and meta-analyses have provided robust evidence for a protective and beneficial effect of these agents against atrial fibrillation, ventricular arrhythmias and sudden cardiac death. The antiarrhythmic mechanisms involved include reverse atrial and ventricular remodeling, amelioration of mitochondrial function, reduction of hypoglycemic episodes with their attendant arrhythmogenic effects, attenuated sympathetic nervous system activity, regulation of sodium and calcium homeostasis, and suppression of prolonged ventricular repolarization. These new data on antiarrhythmic actions of SGLT2 inhibitors are herein reviewed, potential mechanisms involved are discussed and pictorially illustrated, and treatment results on specific arrhythmias are described and tabulated.

Cardiometabolic effects of SGLT2 inhibitors on polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is a complex endocrinopathy affecting many women of reproductive age. Although its physiology is poorly understood, hyperandrogenemia and insulin resistance play a pivotal role in this complex syndrome, predisposing patients to a variety of cardiovascular and metabolic modalities. Current therapeutic options, including lifestyle modifications and medications, often do not satisfactorily improve clinical outcomes. SGLT2 inhibitors (SGLT-2i) are a novel option which can potentially improve many hormonal and metabolic parameters for patients with PCOS, though the net cardiovascular effects remain under investigation in this population of patients with PCOS. Overall, the use of SGLT-2i may be associated with beneficial somatometric, metabolic and hormonal outcomes of PCOS. To date, all available studies have recorded body mass index, waist and hip circumference, and fat mass reductions, improved insulin and androgen levels, and reduced blood pressure. The aim of the present review is to summarise PCOS-related manifestations and mechanisms leading to cardiovascular disease, to explore the cardiometabolic impact of SGLT2i on PCOS, and to critically analyse the cardiometabolic and hormonal outcomes of the recent studies on the use of SGLT2i in women with PCOS.

Machine learning algorithms to predict major adverse cardiovascular events in patients with diabetes

BACKGROUND

Major Adverse Cardiovascular Events (MACE) are common complications of type 2 diabetes mellitus (T2DM) that include myocardial infarction (MI), stroke, and heart failure (HF). The objective of the current study was to predict MACE among T2DM patients.

METHODS

Type 2 diabetes mellitus patients above 18 years old were recruited for the study from the All of Us Research Program. Eligible participants were those who took sodium-glucose cotransporter 2 inhibitors. Different Machine learning algorithms: including RandomForest (RF), XGBoost, logistic regression (LR), and weighted ensemble model (WEM) were employed. Clinical attributes, electrolytes and biomarkers were explored in predicting MACE. The feature importance was determined using mean decrease accuracy.

RESULTS

Overall, 9, 059 subjects were included in the analyses, of which 5197 (57.4%) were females. The XGBoost Model demonstrated a prediction accuracy of 0.80 [0.78-0.82], which is higher as compared to the RF 0.78[0.76-0.80], the LR model 0.65 [0.62-0.67], and the WEM 0.75 [0.73-0.76], respectively. The classification accuracy of the models for stroke was more than 95%, which was higher than prediction accuracy for MI (∼85%), and HF (∼80%). Phosphate, blood urea nitrogen and troponin levels were the major predictors of MACE.

CONCLUSION

The ML models had shown acceptable performance in predicting MACE in T2DM patients, except the LR model. Phosphate, blood urea nitrogen, and other electrolytes were important predictors of MACE, which is consistent between the individual components of MACE, such as stroke, MI, and HF. These parameters can be calibrated as prognostic parameters of MACE events in T2DM patients.

Understanding the Mechanisms and Treatment of Heart Failure: Quantitative Systems Pharmacology Models with a Focus on SGLT2 Inhibitors and Sex-Specific Differences

Heart failure (HF), which is a major clinical and public health challenge, commonly develops when the myocardial muscle is unable to pump an adequate amount of blood at typical cardiac pressures to fulfill the body's metabolic needs, and compensatory mechanisms are compromised or fail to adjust. Treatments consist of targeting the maladaptive response of the neurohormonal system, thereby decreasing symptoms by relieving congestion. Sodium-glucose co-transporter 2 (SGLT2) inhibitors, which are a recent antihyperglycemic drug, have been found to significantly improve HF complications and mortality. They act through many pleiotropic effects, and show better improvements compared to others existing pharmacological therapies. Mathematical modeling is a tool used to describe the pathophysiological processes of the disease, quantify clinically relevant outcomes in response to therapies, and provide a predictive framework to improve therapeutic scheduling and strategies. In this review, we describe the pathophysiology of HF, its treatment, and how an integrated mathematical model of the cardiorenal system was built to capture body fluid and solute homeostasis. We also provide insights into sex-specific differences between males and females, thereby encouraging the development of more effective sex-based therapies in the case of heart failure.

Association of adverse respiratory events with sodium-glucose cotransporter 2 inhibitors versus dipeptidyl peptidase 4 inhibitors among patients with type 2 diabetes in South Korea: a nationwide cohort study

BACKGROUND

Impaired respiratory function remains underrecognized in patients with type 2 diabetes (T2D), despite common pulmonary impairment. Meanwhile, there is little data available on the respiratory effects of sodium glucose cotransporter 2 inhibitors (SGLT2i). Hence, we examined the association between SGLT2i use and the risk of adverse respiratory events in a real-world setting.

METHODS

We conducted a population-based, nationwide cohort study using an active-comparator new-user design and nationwide claims data of South Korea from January 2015 to December 2020. Among individuals aged 18 years or older, propensity score matching was done to match each new user of SGLT2is with dipeptidyl peptidase 4 inhibitors (DPP4is), with patients followed up according to an as-treated definition. The primary outcome was respiratory events, a composite endpoint of acute pulmonary edema, acute respiratory distress syndrome (ARDS), pneumonia, and respiratory failure. Secondary outcomes were the individual components of the primary outcome and in-hospital death. Cox models were used to estimate hazard ratios (HRs) and 95% CIs.

RESULTS

Of 205,534 patient pairs in the propensity score matched cohort, the mean age of the entire cohort was 53.8 years and 59% were men, with a median follow-up of 0.66 years; all baseline covariates achieved balance between the two groups. Incidence rates for overall respiratory events were 4.54 and 7.54 per 1000 person-years among SGLT2i and DPP4i users, respectively, corresponding to a rate difference of 3 less events per 1000 person-years (95% CI - 3.44 to - 2.55). HRs (95% CIs) were 0.60 (0.55 to 0.64) for the composite respiratory endpoint, 0.35 (0.23 to 0.55) for acute pulmonary edema, 0.44 (0.18 to 1.05) for ARDS, 0.61 (0.56 to 0.66) for pneumonia, 0.49 (0.31 to 0.76) for respiratory failure, and 0.46 (0.41 to 0.51) for in-hospital death. Similar trends were found across individual SGLT2is, subgroup analyses of age, sex, history of comorbidities, and a range of sensitivity analyses.

CONCLUSIONS

These findings suggest a lower risk of adverse respiratory events associated with patients with T2D initiating SGLT2is versus DPP4is. This real-world evidence helps inform patients, clinicians, and guideline writers regarding the respiratory effects of SGLT2i in routine practice.

Current and future therapeutic perspective in chronic heart failure

The incidence of heart failure is primarily flat or declining for a presumably reflecting better management of cardiovascular diseases, but that of heart failure with preserved ejection fraction (HFpEF) is probably increasing for the lack of an established effective treatment. Moreover, there is no specific pharmacological treatment for patients with heart failure with mildly reduced ejection fraction (HFmrEF) since no substantial prospective randomized clinical trial has been performed exclusively in such population. According to the recent 2021 European Society of Cardiology (ESC) guidelines, the triad composed of an Angiotensin Converting Enzyme inhibitor or Angiotensin Receptor-Neprilysin Inhibitor (ARNI), a beta-blocker, and a Mineralcorticoid Receptor Antagonist is the cornerstone therapy for all patients with heart failure with reduced ejection fraction (HFrEF) but a substantial gap exists for patients with HFpEF/HFmrEF. Despite the important role of the Renin-Angiotensin-Aldosterone System (RAAS) in heart failure pathophysiology, RAAS blockers were found ineffective for HFpEF patients. Indeed, even the new drug class of ARNI was found effective only in HFrEF patients. In this regard, a therapeutic alternative may be represented by drug stimulating the non-classic RAAS (ACE2 and A1-7) as well as other emerging drug classes (such as SGLT2 inhibitors). Reflecting on this global health burden and the gap in treatments among heart failure phenotypes, we summarize the leading players of heart failure pathophysiology, the available pharmacological treatments for each heart failure phenotype, and that in future development.