Breath-based stratification of asthma severity using the MISTRAL platform with integrated H2S sensor and clinical validation

Exhaled breath analysis offers a painless window into airway inflammation, yet its clinical adoption is limited by a shortage of robust biomarkers. Hydrogen sulfide ([Formula: see text]) has been detected in biological fluids, but its diagnostic value across asthma severities is not well established. In this study, we integrated an electrochemical [Formula: see text] sensor with a detection limit of 1 ppb into the MISTRAL platform. We evaluated exhaled [Formula: see text] in a prospective cohort of 28 adult asthmatic patients. Mean exhaled [Formula: see text] concentrations were significantly higher in individuals with mild-to-moderate asthma ([Formula: see text]) than in those with severe asthma ([Formula: see text]; one‑tailed t‑test [Formula: see text], [Formula: see text]). In early-stage disease, [Formula: see text] levels negatively correlated with maximal expiratory flow MEF[Formula: see text], with a similar trend for MEF[Formula: see text], whereas in severe asthma, positive but not fully statistically significant correlations emerged with FEV[Formula: see text]/FVC ratio, and vital capacity VC. These findings reveal a biphasic pattern: elevated [Formula: see text] may signify a compensatory antioxidant response that collapses as damage in the medium-to-peripheral airways progresses. The plug-and-play MISTRAL platform thus enables real-time, point-of-care assessment of exhaled [Formula: see text] as a promising, and complementary biomarker to FeNO and blood eosinophil count, offering a rapid, non-invasive indicator of disease control, treatment responsiveness, and exacerbation risk.

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Journal
Scientific Reports
Published
2025-12-24
DOI
https://doi.org/10.1038/s41598-025-33084-6
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
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article

Breath-based stratification of asthma severity using the MISTRAL platform with integrated H2S sensor and clinical validation

Annabella la Grasta, Pasquale Tondo, Piera Soccio, Raffaella Germinario et al.
Scientific Reports
Advanced Chemical Sensor Technologies
article

Breath-based stratification of asthma severity using the MISTRAL platform with integrated H2S sensor and clinical validation

Annabella la Grasta, Pasquale Tondo, Piera Soccio, Raffaella Germinario, G. Scioscia, E. Andriani, F. Dell’Olio, I. Cafagna, D. Lacedonia
article en

Abstract

Exhaled breath analysis offers a painless window into airway inflammation, yet its clinical adoption is limited by a shortage of robust biomarkers. Hydrogen sulfide ([Formula: see text]) has been detected in biological fluids, but its diagnostic value across asthma severities is not well established. In this study, we integrated an electrochemical [Formula: see text] sensor with a detection limit of 1 ppb into the MISTRAL platform. We evaluated exhaled [Formula: see text] in a prospective cohort of 28 adult asthmatic patients. Mean exhaled [Formula: see text] concentrations were significantly higher in individuals with mild-to-moderate asthma ([Formula: see text]) than in those with severe asthma ([Formula: see text]; one‑tailed t‑test [Formula: see text], [Formula: see text]). In early-stage disease, [Formula: see text] levels negatively correlated with maximal expiratory flow MEF[Formula: see text], with a similar trend for MEF[Formula: see text], whereas in severe asthma, positive but not fully statistically significant correlations emerged with FEV[Formula: see text]/FVC ratio, and vital capacity VC. These findings reveal a biphasic pattern: elevated [Formula: see text] may signify a compensatory antioxidant response that collapses as damage in the medium-to-peripheral airways progresses. The plug-and-play MISTRAL platform thus enables real-time, point-of-care assessment of exhaled [Formula: see text] as a promising, and complementary biomarker to FeNO and blood eosinophil count, offering a rapid, non-invasive indicator of disease control, treatment responsiveness, and exacerbation risk.

Scientific ReportsVol. 16(1)
University of Foggia (IT), Ospedali Riuniti di Foggia (IT), Regione Puglia (IT), Polytechnic University of Bari (IT)
Openalex Percentile: Top 43%
Advanced Chemical Sensor Technologies
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