Evidence map›Paper›PMID 42223074›Full record

ReviewClinical and translational science2026

Respiratory Biomarkers: An Opportunity for Patient-Centric Microsampling Approach for Treatment Optimization.

Ahmar Khan, Jacqueline L Stair, Daniel Baker, Neil Spooner, Darragh Murnane

Abstract readReview
In one paragraph

Review in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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.

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

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

5 authors.

Ahmar KhanDepartment of Medicine, Applied and Clinical Sciences, School of Health, Medicine, and Life Sciences, University of Hertfordshire, Hatfield, Hertfordshire, UK.ORCID 0000-0002-9141-0798
Jacqueline L StairDepartment of Medicine, Applied and Clinical Sciences, School of Health, Medicine, and Life Sciences, University of Hertfordshire, Hatfield, Hertfordshire, UK.ORCID 0000-0001-8365-5894
Daniel BakerDepartment of Medicine, Applied and Clinical Sciences, School of Health, Medicine, and Life Sciences, University of Hertfordshire, Hatfield, Hertfordshire, UK.ORCID 0000-0002-9235-0053
Neil SpoonerSpooner Bioanalytical Solutions, Hertford, Hertfordshire, UK.ORCID 0000-0003-3150-2479
Darragh MurnaneDepartment of Medicine, Applied and Clinical Sciences, School of Health, Medicine, and Life Sciences, University of Hertfordshire, Hatfield, Hertfordshire, UK.ORCID 0000-0002-4364-7491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical heterogeneity of respiratory disorders emphasizes the need for personalized approaches to prevention, diagnosis, and therapy. One approach to enhanced personalization of therapy is the identification of biomarkers for disease phenotype, severity, progression, and response to therapy. To date, several biomarkers have been developed for patients with respiratory diseases, and increasingly, blood-derived protein and peptide biomarkers are under investigation for their potential to achieve better control over respiratory diseases by stratifying patients for specific treatment regimens. However, identifying and quantifying these biomarkers in a routine setup is challenging because of the invasiveness involved in sample collection, the need for in-person clinical visits, and the need for skilled phlebotomy. Consequently, clinical biomarker measurements represent a single-time point indication of health on the day of attendance at a clinic and not necessarily an accurate longitudinal representation of the patient's condition. Micro-sampling techniques have developed the concept of patient-centric sampling with minimal invasiveness, with the goal of the patient taking their own blood sample in micro volumes that are sent for analysis in a centralized laboratory, all from the comfort of their home. While novel micro-sampling techniques have demonstrated promising results in quantifying drugs and proteins from blood, there is limited exploration within the domain of respiratory diseases' biomarkers. Hence, this article provides insights into novel respiratory biomarkers and a future that exploits micro-sampling tools in care pathways to optimize and individualize therapy for patients.

Indexed as

BiomarkersBlood Specimen CollectionHumansPrecision MedicineBiomarkersclinical markersinter‐patient variabilitypatient‐centric samplingpersonalized medicinepulmonary disease

Identifiers

PMID42223074
PMCPMC13240354

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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.