Evidence map›Paper›PMID 40004192›Full record

ReviewInternational journal of molecular sciences2025

Eosinophil-Driven vs. Eosinophil-Associated Severe Asthma: Practical Implications for Target Treatment.

Valentina D'Aiuto, Ilaria Mormile, Francescopaolo Granata, Antonio Romano, Francesca Della Casa, Gabriele Mignogna, Amato de Paulis, Francesca Wanda Rossi

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Response to benralizumab in patients with severe eosinophilic asthma.Revista medica del Instituto Mexicano del Seguro Social · 2026
    Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Valentina D'AiutoDepartment of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy.
Ilaria MormileDepartment of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0001-7599-5426
Francescopaolo GranataDepartment of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0002-2793-8889
Antonio RomanoHead and Neck Section, Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0003-2932-962X
Francesca Della CasaDepartment of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0002-0115-1420
Gabriele MignognaPost-Graduate Program in Clinical Immunology and Allergy, University of Naples Federico II, 80131 Naples, Italy.
Amato de PaulisDepartment of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0003-0347-2540
Francesca Wanda RossiDepartment of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe asthma (SA) is a chronic inflammatory condition affecting approximately 10% of asthmatic patients, and eosinophils are considered key pathogenetic actors in a significant number of patients. Biological therapies have been demonstrated to improve asthma control by decreasing exacerbation rates and reducing the use of oral corticosteroids. In this context, phenotyping and endotyping patients with SA is essential for selecting the most effective therapeutic approach. For this purpose, biomarkers such as IgE, absolute blood eosinophil count, and fractional exhaled nitric oxide (FeNO) are crucial in defining a patient's inflammatory profile. Their integration provides a framework for classifying asthma into T2-high, T2-mild, or T2-low categories, guiding personalized treatment strategies. By incorporating multiple biomarkers into a unified model, it is possible to better stratify patients and optimize biologic therapy selection, paving the way for improved outcomes in SA management. This review aims to evaluate the role of phenotyping and endotyping SA patients, with particular attention to the impact of eosinophilic inflammation and combinatory biomarkers on decision-making processes for the selection of biological therapies.

Indexed as

AsthmaEosinophilsBiomarkersHumansImmunoglobulin EInflammationNitric OxideSeverity of Illness IndexBiomarkersImmunoglobulin ENitric Oxideatopy biomarkersbiological therapieseosinophilspersonalized medicinesevere asthmatype 2 inflammation

Identifiers

PMID40004192
PMCPMC11855446

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.