bioRxiv Science⌕ Search

bioRxiv · 10.64898/2025.12.01.691527

Long non-coding RNAs as a novel source of beta cell autoantigens in type 1 diabetes

Abstract

Aims/hypothesisGenome-wide association studies increasingly highlight the role of non-coding regions in complex diseases such as type 1 diabetes, pointing, in particular, to long non-coding RNAs (lncRNAs) as potentially active molecular players. Emerging evidence suggests that lncRNAs may encode (small) peptides with the potential to modulate cellular processes, including immune responses. In this study, we have investigated whether these (micro)peptides translated from lncRNAs can act as neoantigens capable of activating autoreactive CD4T cells in individuals with type 1 diabetes. MethodsWe have integrated transcriptomic, proteomic and in silico data to identify a subset of lncRNAs with genuine peptide-coding potential in basal or inflamed-condition beta cells. We further assessed the suitability of those candidates to encode (micro)peptides by sequence analysis and in vitro experimentation techniques. Finally, we have predicted HLA-II epitopes within the micropeptide candidates and evaluated their immunogenicity by analyzing T cell activation responses in peripheral blood mononuclear cells from HLA matching individuals with type 1 diabetes. ResultsBy merging ribosome-bound RNA sequencing with nascent peptide mass spectrometry, we identified a total of 30 lncRNAs with potential coding capacity. We verified the peptide-coding ORF translation for three lncRNA candidates: UXT-AS1, RAPGEF4-AS1 and ENSG00000227066. After predicting potential type 1 diabetes risk-associated HLA-DRB1*03:01 and HLA-DRB1*04:01-binding epitopes within translated lncRNA (micro)peptides, we identified several peptides that elicited CD4+ T cell activation. Furthermore, several epitopes elicited T cell activation in multiple donors with type 1 diabetes. T cell lines were isolated and studied to confirm responses restricted by type 1 diabetes risk HLA alleles. ConclusionsThese results reveal a novel class of immunogenic (micro)peptides derived from lncRNAs, supporting their potential role in the autoimmune response that underlies type 1 diabetes. Our findings open new perspectives on the contribution of non-coding genomic elements to autoimmunity and highlight the need to further investigate lncRNA-encoded (micro)peptides as possible targets for future immunotherapies. RESEARCH IN CONTEXTO_ST_ABSWhat is already known about this subject?C_ST_ABSO_LIShort proteins can sometimes be translated from lncRNAs. C_LIO_LIType 1 diabetes neoepitopes arising from non-native forms of proteins and their post translational modifications have been described. C_LI What is the key question?O_LICan lncRNA-encoded peptides be recognized by the human immune system and contribute to type 1 diabetes development? C_LI What are the new findings?O_LIWe have identified three candidate lncRNAs with peptide coding capacity. C_LIO_LIEpitopes derived from these peptides drive T cell activation in PBMCs of individuals with type 1 diabetes. C_LIO_LIPresentation of some of these peptides are restricted to type 1 diabetes risk-associated HLA-DRB1*03:01 and *04:01 molecules. C_LI How might this impact on clinical practice in the foreseeable future?O_LIDiscovery of lncRNA-derived peptide reactive T cells might serve as a diagnostic or stratification indicator in the early stages of disease development, aiding the development of more personalized treatments and unlocking a new array of therapeutic targets. C_LI

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Mentxaka, J., Callebaut, A., Garcia-Etxebarria, K., Bergara-Muguruza, L., Pascual-Gonzalez, I., Jones, A. R., Li, K. T., Rojas-Marquez, H., Castellanos-Rubio, A., James, E. A., Santin, I.. 2025-12-02. Long non-coding RNAs as a novel source of beta cell autoantigens in type 1 diabetes. https://doi.org/10.64898/2025.12.01.691527

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Common viral infections seed regionally distinct resident memory T cells in the human CNS

T cells persist in the central nervous system (CNS) and can drive both protection and neurological disease. How these cells are organized in humans and what they recognize is largely unknown. Here, we profiled CD8 T cells across anatomically distinct CNS regions, obtained through on-site autopsies and temporal lobe resection surgeries, using single-cell RNA sequencing, paired T cell receptor sequencing, and DNA-barcoded tetramers. Resident memory T cells (TRM) specific for Epstein-Barr virus, cytomegalovirus, influenza A, and SARS-CoV-2 were identified across CNS compartments. Anatomical location was the strongest correlate of TRM cell state, with leptomeningeal cells adopting a cytokine-poised TRM program, whereas brain TRM cells were transcriptionally restrained. Cells of the same clonotype spanned tissues yet adopted local transcriptional states. Viral specificity added another layer of TRM heterogeneity with GZMK/GZMA-expressing EBV-specific populations and interferon-stimulated gene signatures in SARS-CoV-2 and Influenza A-specific cells. The human CNS thus harbors regionally distinct CD8+ TRM shaped by common viral exposures.

immunology↗

A regulatory T cell signature provides a shared molecular basis for the therapeutic window of opportunity in rheumatic disease

Rheumatic diseases, including rheumatoid arthritis (RA), spondyloarthritis (SpA) and osteoarthritis (OA), show distinct phenotypes yet respond to overlapping therapies, implicating shared immune mechanisms. In the Transimmunom cohort, we profiled peripheral blood from 240 individuals (47 healthy, 44 OA, 91 RA, 58 SpA) across deep immunophenotyping, immunoproteomics and Treg-Teff transcriptomics. Single-layer analyses revealed broader Treg than Teff remodeling, along with a shared pattern of reduced activated Tregs and expanded Helios+ Tregs across all diseases, alongside a decrease in functional Treg subpopulations, including CTLA4+ and CD45RA- Tregs. In RA specifically, LAG3+ Tregs were also expanded. Combining omics layers outperformed single-layer approaches for disease classification. Among individual layers, Treg transcriptomes were most discriminative, and integration uncovered disease-specific programs. Unsupervised clustering identified a cross-disease cluster independent of activity, treatment and age, mapping to early disease (<= years) and dominated by a Treg dysfunction-associated program. These results provide a biological rationale for the therapeutic "window of opportunity" concept and duration-stratified Treg-directed trials.

immunology↗

Inhibitory Fc Receptor sets a time limit on macrophage response to IgG

Antibodies engage both activating Fc Receptors and the inhibitory receptor Fc{gamma}RIIB. Why macrophages need a dedicated inhibitory receptor rather than simply tuning activating receptor signaling is unclear. Using DNA-based chimeric receptors and in silico modeling, we independently controlled activating and inhibitory Fc Receptors. We found that Fc{gamma}RIIB imposed a time limit on macrophage phagocytosis and ERK signaling. The time limit is due to activating Fc Receptors converting PI(4,5)P2 to PI(3,4,5)P3, which is subsequently converted to PI(3,4)P2 by Fc{gamma}RIIB. This leads to a pulse of active signaling, which is sufficient for phagocytosis of small bacteria-sized targets but not phagocytosis of large targets and TNF secretion. Unlike engaging Fc{gamma}RIIB, reducing activating Fc Receptor signaling decreased initiation of phagocytosis, the speed of PI(3,4,5)P3 generation, and the amplitude of ERK signaling. Our results demonstrate that Fc{gamma}RIIB controls the duration of IgG signaling, while the activating Fc Receptors control sensitivity.

immunology↗