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Emerging Biomarkers and Novel Diagnostic Tools in Respiratory Diseases: From Bench to Bedside

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Respiratory Medicine".

Deadline for manuscript submissions: 10 July 2026 | Viewed by 718

Editors


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Guest Editor
Respiratory Diseases, University of Bari, Piazza Giulio Cesare 11, 70121 Bari, Italy
Interests: obstructive lung diseases; airway obstruction; chronic obstructive pulmonary disease (COPD); obstructive sleep apnea; pulmonary medicine; respiration disorders; spirometry; allergic asthma; asthma; allergic diseases
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Division of Infection, Immunity & Respiratory Medicine, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester, UK
2. North West Lung Centre, Manchester University NHS Foundation Trust, Manchester, UK
Interests: respiratory physiology; respiratory mechanics; asthma; lung; pulmonary medicine; airway obstruction; chronic obstructive pulmonary disease; OSA; pulmonary function test; pneumology; sputum; respiratory immunology; exhaled biomarkers
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

It is my pleasure to invite you and members of your research group to submit an article to this Special Issue titled “Emerging Biomarkers and Novel Diagnostic Tools in Respiratory Diseases: From Bench to Bedside”.

This Special Issue will focus on the latest advances in the identification and clinical application of emerging biomarkers and innovative diagnostic technologies in respiratory diseases. The goal is to bridge basic science discoveries with real-world clinical practice, improving early diagnosis, disease phenotyping, and personalized therapeutic strategies. Both original research articles and comprehensive reviews are welcomed, with a special focus on studies integrating molecular, imaging, and functional biomarkers for precision medicine in respiratory care.

In this Special Issue, we pursue original research studies and reviews that advance the knowledge of clinicians on diagnostic biomarkers for any respiratory disease.

Furthermore, we are particularly interested in studies about novel non-invasive diagnostic biomarkers, e.g., in exhaled breath and/or in sputum. In addition, aspirant authors are encouraged to submit the results of human studies and clinical trials.

Dr. Silvano Dragonieri
Dr. Andras Bikov
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • respiratory diseases
  • biomarkers
  • non-invasive approaches
  • novel diagnostic tests
  • precision medicine
  • personalized therapy
  • disease phenotyping
  • diagnostic tools
  • functional biomarkers
  • imaging biomarkers
  • molecular biomarkers

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Published Papers (1 paper)

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Research

19 pages, 2151 KB  
Article
Plasma Fibrinogen-to-Fractional Exhaled Nitric Oxide Ratio (FFR) as an Emerging Biomarker in Bronchiectasis
by Andreas M. Matthaiou, Nikoleta Bizymi, Ioannis Tomos, Konstantina Symvoulaki, Christos Skiadas, Georgios Pitsidianakis, Adamantia Liapikou, Nikolaos Tzanakis and Katerina M. Antoniou
J. Clin. Med. 2026, 15(9), 3383; https://doi.org/10.3390/jcm15093383 - 28 Apr 2026
Viewed by 399
Abstract
Background and Aims: Plasma fibrinogen and fractional exhaled nitric oxide (FeNO) reflect neutrophilic and eosinophilic airway inflammation, respectively, and are associated with disease activity and severity in different directions in bronchiectasis. This study aimed to concurrently investigate fibrinogen and FeNO and further [...] Read more.
Background and Aims: Plasma fibrinogen and fractional exhaled nitric oxide (FeNO) reflect neutrophilic and eosinophilic airway inflammation, respectively, and are associated with disease activity and severity in different directions in bronchiectasis. This study aimed to concurrently investigate fibrinogen and FeNO and further evaluate the clinical importance of fibrinogen-to-FeNO ratio (FFR) as a composite biomarker in bronchiectasis. Methods: This was a two-centre, observational, cross-sectional study involving stable bronchiectasis patients. Fibrinogen, FeNO, and the ratio of their normalised values (FFR) were investigated in relation to clinical indicators of disease activity and severity, including respiratory symptoms, inflammatory markers, pulmonary function, radiological extent, airway infection, severity scores, and patient-reported outcomes. Results: FFR was correlated with both circulating neutrophils (r = 0.36, p = 0.04) and eosinophils (r = −0.39, p = 0.03) and, more strongly compared to fibrinogen and FeNO, with the percentage of predicted forced expiratory volume in the 1st second (r = −0.61, p < 0.001). Interestingly, only FFR was found to be higher in patients with Pseudomonas aeruginosa isolation in respiratory secretions (p < 0.01). In receiver operating characteristic curves, FFR showed good discriminatory ability to differentiate patients with any level (AUC: 0.80, 95% CI: 0.64–0.96) or a severe level (AUC: 0.83, 95% CI: 0.64–1.00) of pulmonary functional impairment and patients with severe disease (AUC: 0.78, 95% CI: 0.62–0.94). Conclusions: FFR emerges as a candidate biomarker capturing the balance between neutrophilic and eosinophilic inflammation and the net disease activity and severity in bronchiectasis. Full article
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