Evidence map›Paper›PMID 41093840›Full record

ArticleNature communications2025

Deep mutational scanning of the human insulin receptor ectodomain to inform precision therapy for insulin resistance.

Vahid Aslanzadeh, Gemma V Brierley, Rupa Kumar, Hasan Çubuk, Corinne Vigouroux, Kenneth A Matreyek, Grzegorz Kudla, Robert K Semple

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Family with two novelClinical pediatric endocrinology : case reports and clinical investigations : official journal of the Japanese Society for Pediatric Endocrinology · 2026
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  14. Multiplex, multimodal mapping of variant effects in secreted proteins.bioRxiv : the preprint server for biology · 2025
    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

8 authors.

Vahid AslanzadehInstitute for Neuroscience and Cardiovascular Research, University of Edinburgh, Edinburgh, UK.
Gemma V BrierleyDepartment of Comparative Biomedical Science, Royal Veterinary College, London, UK.
Rupa KumarMedical Research Council (MRC) Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
Hasan ÇubukMRC Human Genetics Unit, Institute for Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Corinne VigourouxNational Reference Centre for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Endocrinology Department, Saint-Antoine Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.ORCID http://orcid.org/0000-0002-8181-4721
Kenneth A MatreyekSchool of Medicine, Case Western Reserve University, Cleveland, OH, USA.ORCID http://orcid.org/0000-0001-9149-551X
Grzegorz KudlaMRC Human Genetics Unit, Institute for Genetics and Cancer, The University of Edinburgh, Edinburgh, UK. Grzegorz.Kudla@ed.ac.uk.ORCID http://orcid.org/0000-0002-7924-2744
Robert K SempleInstitute for Neuroscience and Cardiovascular Research, University of Edinburgh, Edinburgh, UK. rsemple@ed.ac.uk.ORCID http://orcid.org/0000-0001-6539-3069

Funding

British Heart Foundation (BHF) RE/18/5/34216Diabetes UK 22/0006407RCUK | Medical Research Council (MRC) MC_UU_00035/8Wellcome Trust 207507Wellcome Trust 210752
6 · The paper itself

Abstract

The insulin receptor entrains tissue growth and metabolism to nutritional conditions. Complete loss of function in humans leads to extreme insulin resistance and infantile mortality, while loss of 80-90% function permits longevity of decades. Even low-level activation of severely compromised receptors, for example by anti-receptor monoclonal antibodies, thus offers the potential for decisive clinical benefit. A barrier to genetic diagnosis and translational research is the increasing identification of variants of uncertain significance in the INSR gene, encoding the insulin receptor. By coupling saturation mutagenesis to flow-based assays, we stratified approximately 14,000 INSR extracellular missense variants by cell surface expression, insulin binding, and insulin- or monoclonal antibody-stimulated signalling. Resulting function scores correlate strongly with clinical syndromes, offer insights into dynamics of insulin binding, and reveal novel potential gain-of-function variants. This INSR sequence-function map has biochemical, diagnostic and translational utility, aiding rapid identification of variants amenable to activation by non-canonical INSR agonists.

Indexed as

Antigens, CDInsulin ResistanceReceptor, InsulinAntibodies, MonoclonalDNA Mutational AnalysisHEK293 CellsHumansInsulinMutation, MissensePrecision MedicineProtein DomainsSignal TransductionAntibodies, MonoclonalAntigens, CDINSR protein, humanInsulinReceptor, Insulin

Identifiers

PMID41093840
PMCPMC12528385

What OpenQuestion holds

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LicenceCC BY
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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.