The Capabilities of Exhaled Breath Mass Spectrometry in Identifying Metabolic Syndrome and Metabolically Healthy Obesity
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.
• 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.