Evidence mapPaperPMID 42146344Full record

ArticlebioRxiv : the preprint server for biology2026

Reprogramming insulin receptor activation with a de novo agonist to overcome severe insulin resistance.

Albert Hung, Xinru Wang, Michael Gao, Michelle Ng, Denys Oliinyk, Riley Weaver, Elisabeth Zollbrecht, Sarah Cardoso, Gregory Sebastien Ronel, Chloe Paolucci and 7 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

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

17 authors.

Albert HungDepartment of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Xinru WangDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Michael GaoDepartment of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Michelle NgDepartment of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Denys OliinykDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Riley WeaverGeriatric Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA.
Elisabeth ZollbrechtDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Sarah CardosoDepartment of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Gregory Sebastien RonelDepartment of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Chloe PaolucciDepartment of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Jianxiang YeDepartment of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Qing R FanDepartment of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Elizabeth RheaGeriatric Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA.
Matthias MannDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Domenico AcciliDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Eunhee ChoiDepartment of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.ORCID 0000-0003-3286-6477

Funding

Translational Biomarker Analytical Core (TBAC)P30DK063608 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2003 to 2025
$8.5M
The Organoid and Cell Culture CoreP30DK132710 · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2025 to 2025
$1.2M
Investigation of the role of insulin receptor in chromosome stability.R35GM142937 · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2025 to 2025
$405k
Structure-function relationship of the insulin receptor on cell proliferation and metabolismF31DK141231 · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2025 to 2025
$50k
NCATS NIH HHS R21 TR006115NIDDK NIH HHS F31 DK141231NIDDK NIH HHS P30 DK063608NIDDK NIH HHS P30 DK132710NIGMS NIH HHS R35 GM142937
6 · The paper itself

Abstract

Computational protein engineering provides a powerful approach to address longstanding clinical challenges. Severe insulin resistance syndromes caused by mutations in the insulin receptor (IR) are life-threatening disorders for which effective long-term therapies remain lacking. Here, we define the in vivo activity and therapeutic potential of RF-409, a de novo-designed IR agonist that activates the receptor through a mechanism distinct from insulin. RF-409 exhibits markedly prolonged circulation compared to insulin and produces sustained improvements in glucose homeostasis without detectable adverse effects on body composition or liver function. In a patient-derived IR D707A mouse model of severe insulin resistance, RF-409-but not insulin-activates the mutant receptor, restoring glucose regulation and ameliorating hyperglycemia, hyperinsulinemia, lipoatrophy, and pancreatic atrophy. Mechanistically, RF-409 engages the IR through a noncanonical binding geometry while stabilizing an active conformation resembling that induced by insulin. Phosphoproteomic profiling shows that RF-409 elicits broadly insulin-like signaling with distinct temporal features in receptor-proximal regulation. Together, these findings establish a framework for reactivating dysfunctional receptors and suggest broader applications beyond rare receptoropathies, including diabetes and liver disease.

Identifiers

PMID42146344
PMCPMC13174351

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.