Evidence map›Paper›PMID 37449080›Full record

ArticleChemical science2023

Modulation of IL-17 backbone dynamics reduces receptor affinity and reveals a new inhibitory mechanism.

Daniel J Shaw, Lorna C Waters, Sarah L Strong, Monika-Sarah E D Schulze, Gregory M Greetham, Mike Towrie, Anthony W Parker, Christine E Prosser, Alistair J Henry, Alastair D G Lawson and 4 more

Abstract read
In one paragraph

Article in Chemical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Review
  6. Review
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

14 authors.

Daniel J ShawDepartment of Chemistry and York Biomedical Research Institute, University of York Heslington York YO19 5DD UK neil.hunt@york.ac.uk.ORCID https://orcid.org/0000-0003-0090-2947
Lorna C WatersDepartment of Molecular and Cell Biology/Leicester Institute of Structural and Chemical Biology, University of Leicester, University Road Leicester LE1 7RH UK fwm1@leicester.ac.uk.
Sarah L StrongDepartment of Molecular and Cell Biology/Leicester Institute of Structural and Chemical Biology, University of Leicester, University Road Leicester LE1 7RH UK fwm1@leicester.ac.uk.
Monika-Sarah E D SchulzeUCB Pharma UCB Biopharma UK 216 Bath Road Slough SL1 3WE UK.
Gregory M GreethamCentral Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory Harwell Oxford Didcot Oxon OX11 0QX UK.
Mike TowrieCentral Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory Harwell Oxford Didcot Oxon OX11 0QX UK.
Anthony W ParkerCentral Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory Harwell Oxford Didcot Oxon OX11 0QX UK.ORCID https://orcid.org/0000-0003-3094-9762
Christine E ProsserUCB Pharma UCB Biopharma UK 216 Bath Road Slough SL1 3WE UK.
Alistair J HenryUCB Pharma UCB Biopharma UK 216 Bath Road Slough SL1 3WE UK.
Alastair D G LawsonUCB Pharma UCB Biopharma UK 216 Bath Road Slough SL1 3WE UK.
Mark D CarrDepartment of Molecular and Cell Biology/Leicester Institute of Structural and Chemical Biology, University of Leicester, University Road Leicester LE1 7RH UK fwm1@leicester.ac.uk.
Richard J TaylorUCB Pharma UCB Biopharma UK 216 Bath Road Slough SL1 3WE UK.
Neil T HuntDepartment of Chemistry and York Biomedical Research Institute, University of York Heslington York YO19 5DD UK neil.hunt@york.ac.uk.ORCID https://orcid.org/0000-0001-7400-5152
Frederick W MuskettDepartment of Molecular and Cell Biology/Leicester Institute of Structural and Chemical Biology, University of Leicester, University Road Leicester LE1 7RH UK fwm1@leicester.ac.uk.ORCID https://orcid.org/0000-0003-1303-0009

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of protein dynamics is fundamental to the understanding of biological processes, with NMR and 2D-IR spectroscopy being two of the principal methods for studying protein dynamics. Here, we combine these two methods to gain a new understanding of the complex mechanism of a cytokine:receptor interaction. The dynamic nature of many cytokines is now being recognised as a key property in the signalling mechanism. Interleukin-17s (IL-17) are proinflammatory cytokines which, if unregulated, are associated with serious autoimmune diseases such as psoriasis, and although there are several therapeutics on the market for these conditions, small molecule therapeutics remain elusive. Previous studies, exploiting crystallographic methods alone, have been unable to explain the dramatic differences in affinity observed between IL-17 dimers and their receptors, suggesting there are factors that cannot be fully explained by the analysis of static structures alone. Here, we show that the IL-17 family of cytokines have varying degrees of flexibility which directly correlates to their receptor affinities. Small molecule inhibitors of the cytokine:receptor interaction are usually thought to function by either causing steric clashes or structural changes. However, our results, supported by other biophysical methods, provide evidence for an alternate mechanism of inhibition, in which the small molecule rigidifies the protein, causing a reduction in receptor affinity. The results presented here indicate an induced fit model of cytokine:receptor binding, with the more flexible cytokines having a higher affinity. Our approach could be applied to other systems where the inhibition of a protein-protein interaction has proved intractable, for example due to the flat, featureless nature of the interface. Targeting allosteric sites which modulate protein dynamics, opens up new avenues for novel therapeutic development.

Identifiers

PMID37449080
PMCPMC10337760

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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.