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Related Experiment Video

Updated: Feb 26, 2026

A Novel Inhalation Mask System to Deliver High Concentrations of Nitric Oxide Gas in Spontaneously Breathing Subjects
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Perspectives on exhaled nitric oxide.

Fabio L M Ricciardolo1, Philip E Silkoff

  • 1Department of Clinical and Biological Sciences, University of Turin, Italy.

Journal of Breath Research
|July 12, 2017
PubMed
Summary
This summary is machine-generated.

Exhaled nitric oxide (NO) levels predict inhaled corticosteroid (ICS) response and asthma exacerbations. Measuring fractional exhaled nitric oxide (FENO) helps identify patients who will benefit from ICS and biologic therapies.

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Area of Science:

  • Respiratory Medicine
  • Allergy and Immunology
  • Biomarker Discovery

Background:

  • Nitric oxide (NO) was discovered in exhaled breath in the early 1990s.
  • Exhaled NO concentrations (FENO) are elevated in asthma, particularly in allergic/eosinophilic inflammation.
  • Asthma is a heterogeneous disease, and FENO reflects this complexity.

Purpose of the Study:

  • To review the role of FENO as a biomarker in asthma.
  • To explore FENO's predictive value for treatment response and exacerbations.
  • To discuss FENO's utility in guiding therapy decisions.

Main Methods:

  • Literature review of studies on FENO in asthma.
  • Analysis of FENO's correlation with inflammation and treatment outcomes.
  • Evaluation of FENO as a predictor for inhaled corticosteroid (ICS) and biologic therapies.

Main Results:

  • Elevated FENO (>50 ppb in adults) predicts inhaled corticosteroid (ICS) sensitivity.
  • FENO levels correlate with asthma control, predicting exacerbations and response to ICS.
  • FENO predicts response to biologics (anti-IgE, anti-IL-5), with specific reductions seen with anti-IL-4/IL-13 therapies.

Conclusions:

  • FENO is a valuable biomarker for predicting ICS and biologic treatment response in asthma.
  • FENO can help identify patients at risk of exacerbations and guide therapeutic strategies.
  • Further research is needed to establish precise FENO cut-off values for specific asthma phenotypes and treatments.