Evidence map›Paper›PMID 39955284›Full record

ArticleNature communications2025

Discovery of selective low molecular weight interleukin-36 receptor antagonists by encoded library technologies.

Juraj Velcicky, Gregor Cremosnik, Clemens Scheufler, Peter Meier, Emmanuelle Wirth, Richard Felber, Paul Ramage, Michael Schaefer, Christian Kaiser, Sylvie Lehmann and 12 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
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

22 authors.

Juraj VelcickyNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland. juraj.velcicky@novartis.com.ORCID http://orcid.org/0000-0001-6564-1448
Gregor CremosnikNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.ORCID http://orcid.org/0000-0003-3216-5312
Clemens ScheuflerNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.ORCID http://orcid.org/0000-0002-3693-3529
Peter MeierNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.ORCID http://orcid.org/0000-0002-5160-183X
Emmanuelle WirthNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.
Richard FelberNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.
Paul RamageNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.ORCID http://orcid.org/0009-0002-8380-9392
Michael SchaeferNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.
Christian KaiserNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.ORCID http://orcid.org/0009-0007-2913-6154
Sylvie LehmannNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.
Raphaela KutilNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.
Sandra SingeisenNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.ORCID http://orcid.org/0009-0007-1889-0143
Dorothee Mueller-RistigNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.
Simone PoppNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.ORCID http://orcid.org/0009-0005-9095-6907
Regis CebeNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.
Philipp LehrNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.
Klemens KaupmannNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.
Paulus ErbelNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.ORCID http://orcid.org/0000-0002-6336-3445
Till A RöhnNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.
Jerome GiovannoniNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.
Christoph E DumelinNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland.ORCID http://orcid.org/0009-0004-1687-0964
Georg Martiny-BaronNovartis Biomedical Research, Novartis Campus, CH-4002, Basel, Switzerland. georg.martiny-baron@novartis.com.ORCID http://orcid.org/0009-0008-1221-8097

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interleukin-36 receptor (IL-36R), belonging to the IL-1 receptor family, is crucial for host defense and tissue repair. Targeting cytokine receptors with low molecular weight (LMW) compounds remains challenging due to their interaction with the large surface area of cytokine. In this study, two encoded library technologies are used to identify LMW molecules binding to IL-36R's extracellular domain. The mRNA-based display technique identifies 36R-P138, a macrocyclic peptide blocking IL-36R signaling. Importantly, its optimized analog (36R-P192) also effectively suppresses expression of marker genes induced by IL-36 in human skin biopsies. DNA encoded libraries (DEL) screening delivers 36R-D481, a high affinity LMW IL-36R binder, effectively inhibiting IL-36 signaling. X-ray crystallography analysis reveals that both the cyclic peptide and DEL-compound bind to the IL-36R's D1 domain, potentially disrupting IL-36 cytokine binding. This study demonstrates that it is possible to target a cytokine receptor within the IL-1 receptor family using a small molecule ( < 1000 Da).

Indexed as

Receptors, InterleukinReceptors, Interleukin-1Crystallography, X-RayDrug DiscoveryHumansInterleukin-1Molecular WeightPeptide LibraryProtein BindingSignal TransductionSkinInterleukin-1interleukin-36 receptor, humanPeptide LibraryReceptors, InterleukinReceptors, Interleukin-1

Identifiers

PMID39955284
PMCPMC11829961

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.