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BLOCKING IL-7 SIGNALING PREVENTS THE DEVELOPMENT OF LUPUS-LIKE AUTOIMMUNITY IN MICE BY RESTRICTING T CELL EXPANSION, ACTIVATION, AND COMMUNICATION WITH STROMAL CELLS

2025· article· en· W4410513110 on OpenAlexvenueno aff
Olesya Plazyo, Poulami Dey, Rishyanth Peela, Kelly A. Young, Mehrnaz Gharaee‐Kermani, Dlugosz Andrzej, Lam C. Tsoi, M. Kahlenberg, Allison C. Billi, Jóhann E. Guðjónsson

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAtherosclerosis and Cardiovascular Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAutoimmunityMedicineSystemic lupus erythematosusStromal cellImmunologyBlocking (statistics)Lupus erythematosusCell biologyCancer researchPathologyImmune systemAntibodyBiologyDisease

Abstract

fetched live from OpenAlex

PV065 / #555 Poster Topic: AS07 - Cutaneous Lupus Background/Purpose Our lab previously discovered that VGLL3, a female biased proinflammatory transcription factor, can drive lupus-like systemic inflammation when overexpressed under the K5 promoter in mouse epidermis.[1] IL-7 signaling is more active in the skin of lupus patients vs. healthy donors and in our K5-Vgll3 mice vs WT controls. Deletion of peripheral Il7r in K5-Vgll3 mice prevents the development of disease phenotype, with amelioration of dermatitis, splenomegaly, lymphadenopathy, and kidney damage. Methods Single-cell RNA sequencing with in-depth analyses was performed to assess cell-specific transcriptomic changes, cell-cell interactions, and molecular pathways shifted by the Il7r deletion in skin of K5-Vgll3 mice (n=3 mice per genotype). Results K5-Vgll3 mice exhibited a striking expansion of T cells in skin compared to WT , and Il7r deletion drastically reduced CD8, Tfh-like, and MAIT cells. Expression of Cd69 and Il2ra activation markers were reduced across T cell subpopulations. Marked expansion of pro-fibrotic Tnc+ fibroblasts in K5-Vgll3 mice was entirely eliminated by Il7r deletion (Figure 1). Il7r deletion also restored the proportion of differentiated and keratinized keratinocytes to WT levels. Ligand-receptor analyses determined that deleting Il7r significantly reduced lupus-associated cell-cell interactions, with the highest reduction being in the communication between Cxcl12 fibroblasts and Tfh-like T cells. Pathway analysis identified Beta1 integrin and Syndecan-1 signaling in fibroblasts and Il-12, Il-23, and TCR signaling in T cells (Figure 2) as the most affected by Il7r deletion. Figure 1. Figure 2. Conclusions VGLL3-driven lupus-like autoimmunity is dependent on IL-7 signaling and involves expansion and activation of several T cell subtypes and changes in stromal composition, most notably an increase in Tnn fibroblasts. Restricting IL-7 signaling by deleting Il7r successfully shifts transcriptomic changes and cell-cell interactions toward a healthy state, which underscores the potential of its targetability for therapeutic intervention in lupus patients. References: [1.] Billi AC. JCI Insight 2019;Apr18;4(8):e127291.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.211
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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