Evidence map›Paper›PMID 41335420›Full record

ArticleDiabetes2026

Profiling Associations Between IGHG-FCGR Ligand-Receptor Interactions and Disease Progression From Stage 1 and 2 to Stage 3 Type 1 Diabetes.

Lue Ping Zhao, George K Papadopoulos, Jay S Skyler, Hemang M Parikh, William W Kwok, Terry P Lybrand, George P Bondinas, Antonis K Moustakas, Ruihan Wang, Chul-Woo Pyo and 3 more

Abstract read
In one paragraph

Article in Diabetes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Lue Ping ZhaoPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA.ORCID 0000-0003-4817-4969
George K PapadopoulosLaboratory of Biophysics, Biochemistry, Biomaterials and Bioprocessing, Faculty of Agricultural Technology, Technological Educational Institute of Epirus, Arta, Greece.
Jay S SkylerDiabetes Research Institute and Division of Endocrinology, Diabetes and Metabolism, University of Miami Miller School of Medicine, Miami, FL.
Hemang M ParikhHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL.
William W KwokBenaroya Research Institute, Seattle, WA.
Terry P LybrandDepartment of Chemistry, Vanderbilt University, Nashville, TN.
George P BondinasDepartment of Food Science and Technology, Faculty of Environmental Sciences, Ionian University, Argostoli, Cephallonia, Greece.
Antonis K MoustakasDepartment of Food Science and Technology, Faculty of Environmental Sciences, Ionian University, Argostoli, Cephallonia, Greece.
Ruihan WangClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Chul-Woo PyoClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Wyatt C NelsonClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Daniel E GeraghtyClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Åke LernmarkDepartment of Clinical Sciences, Lund University CRC, Skåne University Hospital, Malmö, Sweden.ORCID 0000-0003-1735-0499

Funding

Characterizing Immunogenetics in Type 1 DiabetesR01DK132406 · NIDDK · FRED HUTCHINSON CANCER CENTER · PI GERAGHTY, DANIEL E., LERNMARK, AKE · 2023 to 2025
$1.7M
NIDDK NIH HHS R01 DK132406
6 · The paper itself

Abstract

The primary objective of this study was to investigate whether ligand-receptor interactions (LRIs) between IGHG and FCGR gene products are associated with progression to type 1 diabetes (T1D). Using two completed clinical trials (DPT-1 and TN07), we applied next-generation targeted sequencing to genotype IGHG and FCGR genes in a cohort of 1,214 individuals and assessed LRI associations with disease progression. A Cox regression model was used to quantify LRI associations. IGHG or FCGR alone was found to have weak and sporadic associations with progression. Multiple LRIs between IGHG and FCGR gene products were found to be associated with progression, especially LRIs of IGHG2 with multiple FCGR receptors that accelerate progression and those of IGHG4 with multiple FCGR receptors (some overlapping) that delay progression. Furthermore, as several crystal structures of FcγRs complexed with distinct IgG molecules are known, application of this knowledge here was hampered by the absence of any information on the subclass distribution of each of the several T1D-related autoantibodies. It cannot be excluded that their respective state of glycosylation may influence binding affinity to various FcγRs and the function of thus-formed complexes. Our findings suggest that LRIs of the IGHG and FCGR gene products probably influence progression, shedding new insights into some of the immunological mechanisms involved in progression to T1D. Our findings potentially facilitate the search for new immunotherapeutic treatment through intervening at key steps in the progression. ARTICLE HIGHLIGHTS: This study investigated ligand-receptor interactions (LRIs) between IGHG and FCGR gene products in type 1 diabetes progression. Genes of 1,214 participants from the DPT-1 and TN07 trials were sequenced using next-generation targeted sequencing technology, and LRI associations with the progression time to type 1 diabetes were analyzed using Cox regression modeling. Weak associations were found for IGHG or FCGR variants individually, but multiple LRIs significantly impacted progression. Several IGHG2-FCGR interactions accelerated progression, while a few other IGHG4-FCGR interactions delayed it. The results may provide insights into certain immunogenetic mechanisms of T1D and suggest therapeutic potential of targeting specific LRIs.

Indexed as

Diabetes Mellitus, Type 1Immunoglobulin GReceptors, IgGAdolescentChildDisease ProgressionFemaleHumansLigandsMaleImmunoglobulin GLigandsReceptors, IgG

Identifiers

PMID41335420
PMCPMC12823336

What OpenQuestion holds

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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.