Evidence map›Paper›PMID 40894704›Full record

ArticlebioRxiv : the preprint server for biology2025

Structural basis of insulin receptor antagonism by bivalent site 1-site 2 ligands.

Amber Vogel, Alan Blakely, Yuankun Dao, Nai-Pin Lin, Danny Chou, Christopher P Hill

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Amber VogelDepartment of Biochemistry, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0003-2165-3994
Alan BlakelyDepartment of Biochemistry, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0002-8066-7870
Yuankun DaoDivision of Endocrinology and Diabetes, Department of Pediatrics, School of Medicine, Stanford University, Palo Alto, CA, USA.
Nai-Pin LinDivision of Endocrinology and Diabetes, Department of Pediatrics, School of Medicine, Stanford University, Palo Alto, CA, USA.
Danny ChouDivision of Endocrinology and Diabetes, Department of Pediatrics, School of Medicine, Stanford University, Palo Alto, CA, USA.ORCID 0000-0001-9110-614X
Christopher P HillDepartment of Biochemistry, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Structural Insights to Insulin Receptor Ligand InteractionsR01DK127268 · NIDDK · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI HILL, CHRISTOPHER P. · 2021 to 2025
$1.9M
NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK127268
6 · The paper itself

Abstract

Congenital hyperinsulinism (HI) is a rare genetic disease characterized by overproduction of insulin. One class of potential HI treatments is insulin receptor (IR) antagonists like S961 and Ins-AC-S2, peptides composed of binding segments for each of the IR sites capable of binding insulin: site 1 and site 2. Notably, S597 - containing the same IR binding segments as S961 but in the opposite order (site 2-site 1) - is an IR agonist rather than an antagonist. Using cryo-EM, we show how both S961 and Ins-AC-S2 bind an inactive conformation of IR, thereby explaining their antagonism. Furthermore, our structures reveal how agonist vs. antagonist activity is dictated by the order of site 1- and site 2-binding modules in bivalent ligands. Additionally, we uncover subtle differences between the binding mechanisms of S961 and Ins-AC-S2 to IR, which include displacement or engagement of αCT, respectively, and a novel binding interface between the Ins-AC-S2 insulin and the receptor. These structural insights may inform development of next generation IR antagonists for treatment of HI.

Identifiers

PMID40894704
PMCPMC12393571

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Registered trials

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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.