Evidence map›Paper›PMID 42467297›Full record

ReviewPurinergic signalling2026

Is adenosine signalling entering the precision medicine era? From receptor pharmacology to patient stratification.

Luca Antonioli, György Haskó

Abstract readReview
In one paragraph

Review in Purinergic signalling, 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

2 authors.

Luca AntonioliUnit of Pharmacology and Pharmacovigilance, Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 55, Pisa, 56126, Italy. lucaant@gmail.com.
György HaskóDepartment of Anesthesiology, Columbia University, New York, NY, 10032, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past three decades, adenosine signalling has emerged as a fundamental regulatory system controlling immune responses, tissue homeostasis, metabolism, and repair processes. The identification of four adenosine receptor subtypes and the development of selective agonists and antagonists generated substantial enthusiasm for therapeutic targeting across a broad spectrum of inflammatory, autoimmune, metabolic, and neoplastic diseases. However, despite compelling preclinical evidence, the clinical translation of adenosine-based therapies has often yielded inconsistent or disappointing results. Increasing evidence suggests that these limitations may not primarily reflect inadequate pharmacological tools, but rather an incomplete understanding of the remarkable spatial, temporal, and cellular heterogeneity of adenosine signalling in human disease. Advances in immunology, systems biology, single-cell technologies, spatial transcriptomics, metabolomics, and artificial intelligence are revealing highly diverse purinergic landscapes across tissues and patient populations. These findings challenge the traditional "one receptor-one disease" paradigm and support a transition toward precision medicine approaches capable of identifying disease-specific and patient-specific purinergic signatures. In this commentary, we discuss how the field is moving beyond classical receptor pharmacology toward biomarker-driven patient stratification. We propose that the next generation of purinergic therapeutics will depend not only on improved drugs but also on the ability to define when, where, and in whom adenosine signalling should be manipulated. Such a shift may ultimately represent the long-awaited bridge between decades of successful experimental research and meaningful clinical implementation.

Indexed as

AdenosinePrecision MedicineReceptors, Purinergic P1Signal TransductionAnimalsHumansAdenosineReceptors, Purinergic P1AdenosineAdenosine receptorsBiomarkersPersonalized therapyPrecision medicinePurinergic signalling

Identifiers

PMID42467297
PMCPMC13379558

What OpenQuestion holds

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Registered trials

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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.