Evidence map›Paper›PMID 41488813›Full record

ReviewImmunoTargets and therapy2025

Precision Medicine in Asthma: The Role of Biomarkers.

Eleanor Quek, Neve Horn, Salman Siddiqui

Abstract readReview
In one paragraph

Review in ImmunoTargets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

3 authors.

Eleanor QuekNational Heart and Lung Institute, NIHR Imperial Biomedical Research Centre, Imperial College London, London, UK.ORCID 0000-0003-3141-3265
Neve HornNational Heart and Lung Institute, NIHR Imperial Biomedical Research Centre, Imperial College London, London, UK.
Salman SiddiquiNational Heart and Lung Institute, NIHR Imperial Biomedical Research Centre, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma represents a profoundly heterogeneous syndrome underpinned by multiple, distinct and overlapping immunopathological mechanisms. Nevertheless, prevailing management algorithms continue to adopt a largely uniform, stepwise approach in which pharmacotherapy is intensified only after clinical deterioration or recurrent exacerbations. Although the advent of targeted biologic agents has improved outcomes in severe asthma, the realisation of precision medicine - therapeutic selection directed by individual disease mechanisms - remains elusive. This is primarily attributable to the limited availability of validated biomarkers capable of defining endotypes and accurately predicting therapeutic responsiveness. Existing indicators of type-2 (T2) inflammation, including blood eosinophil counts, fractional exhaled nitric oxide, and serum Immunoglobulin E, provide only partial discrimination between T2 subtypes and are insufficient to guide the choice of specific T2-targeted biologics. Furthermore, robust non-T2 biomarkers are notably lacking. This review provides a critical appraisal of current biomarker paradigms and examines emerging molecular and cellular candidates with potential to enable precise endotyping. Integration of such biomarkers into early disease assessment offers the prospect of delivering truly individualised therapy, ensuring that appropriate treatment is instituted for the right patient at the optimal time.

Indexed as

airway remodellingasthma remissionbiologicsprecision medicinetype 2 inflammation

Identifiers

PMID41488813
PMCPMC12756974

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.