Metabolic syndrome is a cluster of conditions — high blood pressure, high blood sugar, excess belly fat, and abnormal cholesterol — that together raise the risk of heart disease, stroke, and type 2 diabetes. About one in three American adults has it. Treatment focuses on weight loss, exercise, and managing each component individually with medications like statins and blood pressure drugs.
What's actually going on in research
Trials are testing GLP-1 receptor agonists like semaglutide for weight loss and cardiovascular protection, SGLT2 inhibitors for metabolic and kidney benefits, and combination approaches targeting multiple pathways at once. Researchers are studying how inflammation, gut bacteria, and fat tissue biology drive metabolic syndrome, and whether targeting these mechanisms can prevent progression to diabetes and heart disease.
GLP-1 receptor agonists
Drugs like semaglutide and tirzepatide produce substantial weight loss and reduce cardiovascular events in people with obesity. Trials are testing whether they can reverse metabolic syndrome before diabetes develops.
Inflammation targeting
Studies are testing whether drugs that reduce inflammation can improve insulin resistance and prevent heart disease. This includes anti-inflammatory drugs and treatments targeting specific immune pathways.
Microbiome interventions
Researchers are studying whether probiotics, prebiotics, or fecal transplants can change gut bacteria in ways that improve metabolism. Early trials suggest gut bacteria influence how the body processes sugar and fat.
What to know before you search
Eligibility typically requires meeting at least three criteria for metabolic syndrome: waist circumference, blood pressure, triglycerides, HDL cholesterol, and fasting glucose thresholds.
What types of trials are currently open
- Weight loss trials — Testing medications, behavioral programs, or combinations to produce sustained weight loss and improve metabolic markers.
- Prevention trials — Testing whether interventions in people with metabolic syndrome can prevent progression to type 2 diabetes or cardiovascular disease.
- Cardiovascular outcome trials — Large studies following people for years to see if treatments reduce heart attacks, strokes, and death.
- Mechanistic studies — Detailed studies of how treatments affect fat tissue, liver metabolism, inflammation, and insulin sensitivity.
- Lifestyle intervention trials — Testing structured diet and exercise programs, often comparing them to medication or studying how to sustain behavior change.
Recently added Metabolic Syndrome trials
Longevity Metrics AI/ML Development Study
This study builds AI models that score diagnostic screening tests, and that predict screening results, clinical judgment, and life expectancy. Longevity Metrics collects a battery of clinical tests on each participant, in whole or in part, and follows every participant for life. The sit-to-rise test and the timed walk are scored by hand today, from a person's count. A model scores the same test from video instead. It also measures what no one can count by eye - speed, asymmetry, steadiness - so one capture yields both the original score and additional measurements, intended to enrich the model and strengthen what it predicts. Every test in a participant's record measures the same body, so the tests are correlated: a test that was performed carries information about one that was not. A model trained across the library learns those relationships and estimates a missing result from the results that are present. Each estimate is checked against records where that part was actually measured, and over decades against death and disease through linkage to the 100-Year Human Aging Study (NCT07563777). The hypothesis is that the full battery can eventually be predicted across modalities with high accuracy using a few short video clips, replacing most in-person screening. That would let preventive screening reach people and places a physical laboratory cannot. How far the input can be reduced is the question this study exists to answer. Every model is a physician-reviewed clinical decision aid until it is cleared by the FDA.
Complete fitness tests to help researchers understand autism and cardiometabolic health
The goal of this observational study is to evaluate cardiorespiratory and muscular fitness in children with obesity, with and without autism spectrum disorder (ASD), and examine how fitness relates to body measurements, body composition, and cardiometabolic health. The main questions it aims to answer are: * Do children with and without ASD differ in cardiorespiratory fitness and handgrip strength? * Are fitness levels related to body composition and measures of cardiometabolic health? Researchers will compare children with ASD to children without ASD to see if there are differences in fitness, body composition, and cardiometabolic health. Participants will have information from their medical records reviewed, including: * Cardiorespiratory fitness and handgrip strength test results * Height, weight, BMI, and body composition measurements * Blood test results, including HbA1c and cholesterol levels * Age, sex, and other demographic information
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