Breath mass spectrometry test to distinguish metabolic syndrome and metabolically healthy obesity
Official title: The Capabilities of Exhaled Breath Mass Spectrometry in Identifying Metabolic Syndrome and Metabolically Healthy Obesity
Run by I.M. Sechenov First Moscow State Medical University · NCT07330297 · Data updated 2026-11-12
This project will test whether a breath mass spectrometry test can tell apart adults with metabolic syndrome, adults with metabolically healthy obesity, and healthy-weight adults.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 300 (estimated) |
| Sponsor | I.M. Sechenov First Moscow State Medical University Academic / other |
| Locations | 1 site (Moscow) |
| Status | Recruiting |
| Started | September 19, 2024 |
| Main results expected | June 1, 2026 |
| Study ends | December 30, 2026 |
| Registry record updated | January 9, 2026 |
| Trial ID | NCT07330297 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults (over 18) who fit one of three groups: diagnosed metabolic syndrome by IDF 2006 criteria, metabolically healthy obesity (increased waist circumference without other metabolic syndrome features), or normal-weight healthy controls.
✕Probably not a fit
People with recent heart attack or stroke, advanced kidney disease (eGFR <30), familial hypercholesterolemia, active cardiovascular or significant lung disease, or those unable to provide informed consent are excluded and unlikely to benefit from participation.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The study will collect exhaled breath from 300 adults divided into three groups (metabolic syndrome, metabolically healthy obesity, and healthy controls) and analyze volatile organic compound profiles using proton-transfer-reaction mass spectrometry (PTR-MS). Machine learning algorithms will be trained on the mass spectrometry data to build and validate a classification model that discriminates the three metabolic states. The approach emphasizes real-time breath analysis and specialized pattern-recognition methods to handle complex volatilome signatures. Results aim to clarify metabolic pathway differences between obesity phenotypes and to validate breathomics as a diagnostic tool.
Why it matters
Potential benefit: If successful, this could lead to a rapid, non-invasive breath test to screen for metabolic syndrome and guide personalized care for people with obesity.
How similar studies have gone: Pilot breathomics studies have suggested volatile compound profiles can reflect metabolic states, but large-scale validated models distinguishing metabolically healthy versus unhealthy obesity remain limited and this comparison is novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * For Group 1 (Metabolic syndrome): Age \>18 years, signed informed consent, diagnosis of Metabolic Syndrome (IDF 2006 criteria: waist circumference \>94 cm (men)/ \>80 cm (women) + ≥2 of: BP ≥130/85 mmHg or antihypertensive therapy; TG ≥1.7 mmol/L; HDL-C \<1.03 mmol/L (men) / \<1.29 mmol/L (women); Fasting glucose ≥5.6 mmol/L). * For Group 2 (Metabolically healthy obesity): Age \>18 years, signed informed consent, waist circumference ≥94 cm (men) / ≥80 cm (women), absence of other Metabolic Syndrome criteria (hypertension, dyslipidemia, impaired fasting glucose). * For Group 3 (Control): Age \>18 years, signed informed consent, normal BMI, absence of signs of Metabolic Syndrome. Non-inclusion criteria for all groups: * Inability to provide informed consent; * History of myocardial infarction or stroke; * Chronic kidney disease stage 3B, 4, 5 (eGFR \<30 ml/min/1.73m2); * Acute or subacute cardiovascular disease; * Familial hypercholesterolemia; * Bronchopulmonary diseases; * Acute or chronic infectious diseases; * Type 1 or Type 2 diabetes mellitus; * Systemic connective tissue diseases; * Current or past history of oncological diseases; * Severe liver dysfunction, decompensated liver cirrhosis (Child-Pugh class C); * Pregnancy or lactation; * Severe mental illness (severe dementia, schizophrenia); * Comorbid conditions with life expectancy less than 1 year. Exclusion Criteria: * Patient refusal to continue participation in the study; * Identification of any non-inclusion criteria after enrollment.
Where it's running
-
University Clinical Hospital №1, Sechenov University
Moscow, Russia Recruiting
Study contacts
- Study coordinator: Philipp Kopylov
- Email: kopylov_f_yu@staff.sechenov.ru
- Phone: +7 (903) 687-72-64
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.