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

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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-10-15
DOI
https://doi.org/10.1038/s41467-025-64178-4
Citations
6
Primary Topic
Receptor Mechanisms and Signaling
Type
article
Field-Weighted Citation Impact
4.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Kenneth A. Matreyek, Rupa Kumar, Corinne Vigouroux, Gemma V. Brierley et al.
6 citations
Nature Communications
Receptor Mechanisms and Signaling
4.84
article

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

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

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.

Nature CommunicationsVol. 16(1)
Royal Veterinary College (GB), Inserm (FR), Cambridge University Hospitals NHS Foundation Trust (GB), Sorbonne Université (FR), Assistance Publique – Hôpitaux de Paris (FR), Hôpital Saint-Antoine (FR), Wellcome/MRC Institute of Metabolic Science (GB), Centre de Recherche Saint-Antoine (FR), Institute of Genetics and Cancer (GB), Case Western Reserve University (US), University of Edinburgh (GB)
Openalex Percentile: Top 5%
Receptor Mechanisms and Signaling
4.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.