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

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.

Authors

Institutions

Publication Details

Journal
Diabetes
Published
2025-12-03
DOI
https://doi.org/10.2337/db25-0610
Primary Topic
Diabetes and associated disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Åke Lernmark, Jay S. Skyler, Daniel E. Geraghty, George K. Papadopoulos et al.
Diabetes
Diabetes and associated disorders
article

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

Åke Lernmark, Jay S. Skyler, Daniel E. Geraghty, George K. Papadopoulos, Ruihan Wang, George P. Bondinas, Hemang M. Parikh, Antonis K. Moustakas, Terry P. Lybrand, William W. Kwok, Lue Ping Zhao, Wyatt C. Nelson, Chul‐Woo Pyo
article en

Abstract

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.

DiabetesVol. 75(2)
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa (ZA), University of Miami (US), Technological Educational Institute of the Ionian Islands (GR), Ionian University (GR), Vanderbilt University (US), University of Washington (US), University of South Florida (US), Fred Hutch Cancer Center (US), Washington Research Foundation (US), Skåne University Hospital (SE), Technological Educational Institute of Epirus (GR)
Openalex Percentile: Top 60%
Diabetes and associated disorders
DOIOpen Access PDFOpenAlex
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.