Condition: Metabolic Syndrome · Obesity & Overweight · Metabolically Healthy Obesity · Sponsor: I.M. Sechenov First Moscow State Medical University
This study aims to develop a non-invasive diagnostic method for metabolic syndrome (MetS) and metabolically healthy obesity (MHO) through analysis of exhaled air. Using proton-transfer-reaction mass spectrometry combined with machine learning algorithms, we will characterize volatile organic compound profiles in 300 participants across three groups: MetS patients, MHO patients, and healthy controls. The primary goal is to create and validate a classification model capable of accurately differentiating these metabolic states based on breath analysis.
This description comes directly from the study's public registry record.
Philipp Kopylov · +7 (903) 687-72-64 · kopylov_f_yu@staff.sechenov.ru
Aida Gadzhiakhmedova · +7 (989) 899-53-01 · ai.kidman@mail.ru
Always discuss trial participation with your own doctor first.
| University Clinical Hospital №1, Sechenov University | Moscow, Russia | Recruiting |
Get one email when the public record changes — results posted, or the study's status changes. Nothing else, ever.
We email about this public record only. Unsubscribe anytime with one click. Never medical advice.
This page is independently generated by Eichor from the public ClinicalTrials.gov record and re-synced daily. It is not the sponsor's official website unless claimed. Nothing here is medical advice; eligibility is always determined by the study team — talk to your own doctor first.
Source record: clinicaltrials.gov/study/NCT07330297