Evidence map›Paper›PMID 42277217›Full record

ArticleScientific reports2026

The anti-inflammatory efficacy of melanocortin drugs is influenced by genetic variation at MC1R.

Natalya Khodeneva, Camilla S A Davan-Wetton, Thomas E N Jonassen, Mauro Perretti, Trinidad Montero-Melendez

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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.

Natalya KhodenevaThe William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
Camilla S A Davan-WettonThe William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
Thomas E N JonassenDepartment of Biomedical Sciences, University of Copenhagen, Copenhagen, DK-2200, Denmark.
Mauro PerrettiThe William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
Trinidad Montero-MelendezThe William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK. t.monteromelendez@qmul.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The melanocortin 1 receptor (MC1R) is a pro-resolving anti-inflammatory target under clinical development for scleroderma, arthritis, light intolerance or melanoma prevention. Genetic diversity at MC1R is high in certain populations, with some variants associated with loss-of function (LoF) resulting in red hair and poor tanning response. However, how these variants influence the anti-inflammatory efficacy of drug candidates targeting MC1R is unknown. We analysed the impact of 30 variants on receptor signalling (cAMP and phospho-ERK) and the anti-inflammatory response to nine agonists on the whole-blood assay on healthy volunteers. LoF presents as a continuum rather than as a binary characteristic (benign/pathogenic) and differentially affects each signalling pathway, undermining the usefulness of in silico tools to predict variants pathogenicity. Moreover, variants affected compounds differently, even causing LoF, no effect or gain-of-function depending on the compound tested. We identified responders and non-responders to melanocortin compounds, and the efficacy of most compounds (determined as reduction of cytokine release) was diminished by the presence of variants at MC1R. Carrying red-hair variants (RHC) also associated with reduced efficacy but not having light skin phototype. These data encourage the incorporation of pharmacogenetics strategies during melanocortin drug development programs to ensure targeted interventions for maximal efficacy and safety.

Indexed as

Anti-Inflammatory AgentsGenetic VariationMelanocortinsReceptor, Melanocortin, Type 1AdultFemaleHumansMaleSignal TransductionAnti-Inflammatory AgentsMC1R protein, humanMelanocortinsReceptor, Melanocortin, Type 1Drug developmentGenetic diversityMelanocortinPharmacogeneticsPrecision medicine

Identifiers

PMID42277217
PMCPMC13507197

What Socratic holds

Textmetadata
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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 Socratic graph.