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This clinical study aims to improve the diagnosis and treatment of cardiovascular diseases in Kazakhstan by Implementing Metabolic Correction with Glucagon-Like Peptide-1 (GLP-1). These medicines are called incretin-based therapies and include GLP-1 receptor agonists and a newer dual therapy that targets both GIP and GLP-1 receptors. Such medications have already shown benefits in lowering blood sugar, reducing body weight, improving blood pressure, and lowering the risk of serious heart complications.
Cardiovascular diseases and diabetes are among the most common health problems in Kazakhstan. Many patients remain undiagnosed or receive treatment only after their condition becomes severe. This study seeks to address these challenges by testing how well dual incretin therapy works in improving heart health, blood sugar control, and overall metabolic status in adults who have both chronic heart failure and type 2 diabetes.
Participants in the study will receive a detailed health evaluation at the beginning, including heart tests, blood work, and genomic profiling. Genomic testing will help researchers understand whether certain genetic features affect how patients respond to this therapy. After the initial assessment, participants will start treatment with a GIP/GLP-1 receptor agonist and will be monitored every few months for a total of 40 weeks. During these visits, their heart function, blood sugar levels, weight, and other health indicators will be checked to ensure both safety and effectiveness.
The main hypothesis of the study is that dual incretin therapy will improve heart function, reduce cardiometabolic risks, and show measurable benefits in patients with both chronic heart failure and type 2 diabetes. The study also assumes that a person's genetic profile may influence how well they respond to treatment.
By the end of the project, researchers hope to better understand how these medications work in the Kazakhstani population and to use these findings to support more personalized, effective, and modern approaches to treating cardiovascular diseases.
Full description
Title: Improving the Diagnosis and Treatment of Cardiovascular Diseases in Kazakhstan by Implementing Metabolic Correction with Glucagon-Like Peptide-1 (GLP-1).
Overview:
Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide and in Kazakhstan. The increasing prevalence of chronic conditions such as heart failure with preserved ejection fraction (HFpEF), obesity, and type 2 diabetes mellitus (T2DM) underscores the urgent need for integrated therapeutic approaches targeting both metabolic and cardiovascular risk factors. Despite advances in pharmacological and interventional care, standard therapies often fail to address underlying metabolic dysfunction and systemic inflammation, which are critical drivers of CVD progression.
Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and dual incretin receptor agonists such as tirzepatide represent a novel class of therapeutics with multimodal actions. These agents improve glycemic control, promote weight loss, modulate lipid metabolism, and exert direct cardiovascular protective effects, including endothelial stabilization, reduction of oxidative stress, attenuation of systemic inflammation, and modulation of myocardial remodeling.
This study aims to improving the Diagnosis and Treatment of Cardiovascular Diseases in Kazakhstan by Implementing Metabolic Correction with Glucagon-Like Peptide-1 (GLP-1) therapies. Integration of genomic profiling seeks to identify genetic determinants of therapeutic response, enabling a precision medicine approach and supporting the development of population-specific treatment guidelines.
Scientific Rationale:
The pathophysiology of HFpEF and T2DM involves intricate mechanisms, including insulin resistance, chronic low-grade inflammation, endothelial dysfunction, myocardial stiffness, and impaired diastolic relaxation. Conventional management strategies-such as antihypertensive therapy, lipid-lowering agents, and glucose-lowering medications-primarily target downstream clinical manifestations rather than these upstream pathogenic mechanisms.
GLP-1 receptor agonists act through multiple pathways to improve cardiometabolic health:
Dual incretin receptor agonists, such as tirzepatide, combine GLP-1 and glucose-dependent insulinotropic polypeptide (GIP) receptor activation, synergistically enhancing insulinotropic and metabolic effects. Tirzepatide has demonstrated superior reductions in HbA1c and body weight compared with GLP-1 monotherapy in large clinical trials and is associated with emerging evidence for cardiovascular risk reduction.
Kazakhstan presents a unique population for investigating these therapies, given the rising burden of obesity, diabetes, and CVD, as well as under-characterized genetic determinants of therapeutic response. By incorporating genomic profiling, this study will elucidate population-specific factors that influence efficacy, safety, and metabolic outcomes, thereby facilitating personalized treatment strategies.
Study Design:
This is a multicenter, prospective, interventional, non-randomized clinical trial conducted at leading cardiology centers in Kazakhstan. The study duration for each participant is 40 weeks, with regular follow-up visits every 12 weeks. Adult men and women aged 18-75 years with clinically diagnosed HFpEF and T2DM are eligible for enrollment, following informed consent and confirmation of eligibility criteria.
Intervention:
Participants meeting inclusion criteria will receive dual GIP/GLP-1 receptor agonist therapy (tirzepatide) according to recommended dosing regimens. Concomitant standard-of-care cardiovascular therapy-including antihypertensive and lipid-lowering medications-will continue to ensure comprehensive management. Therapy titration will be performed according to tolerability, metabolic response, and safety monitoring.
Clinical Assessments and Monitoring:
Genomic Profiling:
Peripheral blood samples will be collected at baseline for whole exome or whole genome sequencing. Bioinformatic pipelines will be applied for variant calling, annotation, and association analysis. Variants will be evaluated for associations with therapeutic efficacy, metabolic response, cardiovascular outcomes, and adverse events. Significant findings will be cross-referenced with pharmacogenomic databases to identify functionally relevant polymorphisms.
Scientific Objectives:
Primary: Evaluate changes in glycemic control (HbA1c), body weight, BMI, and echocardiographic parameters of diastolic function over 40 weeks of therapy.
Secondary: Assess improvements in functional capacity, lipid and metabolic biomarkers, inflammatory profiles, and quality of life. Monitor incidence of cardiovascular events, hospitalizations, and adverse events.
Exploratory: Identify genomic markers associated with differential response to therapy and develop predictive pharmacogenomic models to inform individualized treatment strategies.
Data Analysis Plan:
Descriptive statistics will summarize baseline demographics, clinical characteristics, and laboratory findings. Continuous variables will be expressed as mean ± SD or median (IQR), and categorical variables as frequencies and percentages. Paired t-tests or Wilcoxon signed-rank tests will assess within-group changes, while ANOVA or Kruskal-Wallis tests will evaluate subgroup differences (e.g., by genotype, sex). Multivariate regression models will adjust for confounders such as age, sex, baseline metabolic status, and concomitant medications.
Genomic analyses will integrate sequence data with clinical outcomes to identify variants associated with efficacy and safety. Multiple testing corrections and functional annotation will be applied to ensure robust findings. Data will be stored securely and analyzed using validated statistical and bioinformatic software platforms.
Expected Outcomes:
The study is anticipated to demonstrate significant improvements in glycemic control, weight reduction, and diastolic cardiac function. Anti-inflammatory and metabolic biomarker profiles are expected to improve, accompanied by enhanced quality of life and functional capacity. Genomic analysis will identify patient subgroups most responsive to therapy, enabling predictive pharmacogenomic models tailored to the Kazakh population.
Significance and Future Perspectives:
This study represents one of the first comprehensive evaluations of dual incretin therapy in Central Asia. By integrating clinical, metabolic, and genomic data, it aims to:
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120 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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