Evidence map›Paper›PMID 41673462›Full record

Trial reportScientific reports2026

Surface expression of CD63 and HLA-DR in circulating eosinophils correlates with improved clinical control after treatment optimization in asthma.

Simone Scarlata, Carmen Mazzuca, Laura Vitiello, Panaiotis Finamore, Angelo Coppola, Fatima Maurizi, Silvia Travaglini, Anna Zito, Davide Fontana, Raffaele Antonelli Incalzi

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05001529 (Flow Cytometry Analysis of Eosinophils Activity and Membrane Receptors Expression in Severe Asthma Patients), which is not on this map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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.

NCT05001529 phase4unknown statusnot on this map

Flow Cytometry Analysis of Eosinophils Activity and Membrane Receptors Expression in Severe Asthma Patients: Basal Characterization and Evaluation of Changes Induces by Biological Drugs.

TypeinterventionalSponsorScarlata, Simone, M.D.Ran2021 to 2023Enrolled80ConditionsSevere AsthmaArmsanti IL5 receptor antibodies
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Simone ScarlataUnit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, Via Alvaro del Portillo 200, Rome, 00128, Italy. s.scarlata@policlinicocampus.it.
Carmen MazzucaPediatric Allergology Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy.
Laura VitielloDepartment of Human Sciences and Promotion of the Quality of Life and Clinical and Molecular Epidemiology Unit IRCCS San Raffaele, San Raffaele University, Via di Val Cannuta 247, Rome, 00166, Italy.
Panaiotis FinamoreUnit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, Via Alvaro del Portillo 200, Rome, 00128, Italy.
Angelo CoppolaPulmonology Division, San Filippo Neri Hospital, Rome, UniCamillus, Saint Camillus International University of Health Sciences, Rome, Italy.
Fatima MauriziUnit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, Via Alvaro del Portillo 200, Rome, 00128, Italy.
Silvia TravagliniUnit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, Via Alvaro del Portillo 200, Rome, 00128, Italy.
Anna ZitoUnit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, Via Alvaro del Portillo 200, Rome, 00128, Italy.
Davide FontanaUnit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, Via Alvaro del Portillo 200, Rome, 00128, Italy.
Raffaele Antonelli IncalziUnit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio Medico, Via Alvaro del Portillo 200, Rome, 00128, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eosinophils are key effectors in asthma, especially within the T2-high phenotype. Conventional biomarkers such as blood eosinophils, FeNO, and IgE incompletely reflect disease activity. Beyond eosinophil enumeration, qualitative assessment of eosinophil activation and immune engagement may provide complementary information. Surface markers like CD63 and HLA-DR might provide additional insight into eosinophil activation and treatment response. To evaluate whether CD63 and HLA-DR expression on circulating eosinophils correlates with clinical improvement after therapy optimization in severe asthma. In this pre-randomization, single-center analysis of 105 adults enrolled in an anti-IL5 trial (NCT05001529), patients underwent a 3-month run-in with optimized therapy per GINA guidelines. Clinical data, lung function, FeNO, IgE, and eosinophil counts were collected. Flow cytometry assessed CD63 and HLA-DR expression. Associations with clinical improvement, defined by ACT score and exacerbation frequency, were analysed. ACT scores improved from 21 to 24 and uncontrolled asthma prevalence dropped from 50% to 16%. HLA-DR expression declined significantly and correlated with improved asthma control (β = 0.03, p = 0.05). CD63 expression did not change overall but remained elevated in patients with persistent symptoms. Neither marker correlated with eosinophil count, FeNO, or IgE. HLA-DR and CD63 reflect functional eosinophil states that are modulated during standard therapy optimization. Eosinophil immunophenotyping may complement traditional biomarkers as an associative, non-predictive tool to support personalized asthma management.

Indexed as

AsthmaEosinophilsHLA-DR AntigensTetraspanin 30AdultAnti-Asthmatic AgentsBiomarkersFemaleFlow CytometryHumansImmunoglobulin EMaleMiddle AgedTreatment OutcomeAnti-Asthmatic AgentsBiomarkersCD63 protein, humanHLA-DR AntigensImmunoglobulin ETetraspanin 30CD63Eosinophil activationFlow cytometry biomarkersHLA-DRSevere asthma

Identifiers

PMID41673462
PMCPMC12966282

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Registered trials

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.