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IMIQUIMOD-INDUCED ONSET OF DISEASE IN LUPUS-PRONE NZB/W F1 MICE

2025· article· en· W4410715583 on OpenAlexvenueno aff
Aud-Malin Karlsson Hovd, Premasany Kanapathippillai, Anita Ursvik, Thea Skagen, Stine Figenschau, Ida Emilie Bjørlo, Susannah von Hofsten, Christopher Florian Holte, Samer Al‐Saad, Kristin Andreassen Fenton, Hege Lynum Pedersen

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSystemic lupus erythematosusImiquimodSystemic diseaseAutoimmune diseaseLupus erythematosusImmunopathologyAdult-onset Still's diseaseDiseaseDermatologyImmunologyInternal medicineAntibody

Abstract

fetched live from OpenAlex

PV012 / #474 Poster Topic: AS02 - Animal Models Background/Purpose Systemic lupus erythematosus (SLE) is a heterogeneous disease and onset of the disease in lupus-prone NZB/W F1 mice are typically between weeks 20 to 25. Kidney failure in female mice normally develops within 9 months. Here, we wanted to study if we could accelerate disease onset and possibly induce a more homogenous disease by topical treatment of imiquimod (IMQ), a toll-like receptor (TLR) 7 agonist. Activation of TLRs, especially TLR7 and TLR9 by nucleic acids, have been linked to one of many mechanisms contributing to the development and aggravation of autoimmune diseases such as SLE. Methods We applied IMQ to the ears of 5 weeks old NZB/W F1 mice 3 times per week for 5 weeks with endpoints set at experimental weeks 6 and 10. We used age-matched C57BL/6J and NZB/W F1 as control mice. Disease progression was closely monitored by weekly measurements of proteins in urine, serum levels of anti-dsDNA antibodies, and hematological analysis using IDEXX ProCyte Dx. At endpoint, spleen, lymph nodes and kidney were collected for flow cytometric analysis on lymphocyte activation, macrophage, and dendritic cell populations. IgG deposition in glomeruli and tubules was analyzed by immune electron microscopy. Classification of kidney damage was performed according to the 2003 ISN/RPS criteria on zinc-fixated paraffin embedded kidney sections stained with Periodic acid–Schiff staining. Cellular composition and tissue changes were assessed using immunohistochemistry and immunofluorescence, and mRNA gene expression of genes related to disease progression was analyzed using qPCR. Results In this study, none of the mice developed full-blown proteinuria. At experimental endpoints, at week 6 and 10 after treatment start, IMQ treated mice had elevated production of autoantibodies against dsDNA, RNA, and cardiolipin compared to control mice. Hematological analysis revealed hemolysis, thrombocytopenia, neutrophilia, and lymphocytopenia. Immune complex deposition in the kidneys was observed at both endpoints. Increased infiltration of activated lymphocytes into the kidneys was observed by both histological and flow cytometric analyses. An increase in CD8+ tissue residential memory cells (CD69+CD44+), monocytes and CD11c+ monocyte derived dendritic cells, CX3CR1+ M2 macrophages, and CX3CR1+ dendritic cells was observed. In contrast, a decrease in plasmacytoid dendritic cells and XCR1+ conventional dendritic cells were seen. In addition, we detected a rise in regulatory immune mechanisms such as an increase of FoxP3+CD4+ Tregs in kidneys, spleen and lymph nodes. Conclusions IMQ treatment in young NZB/W F1 mice induced breakage of tolerance against nuclear antigens, but failed to induce nephritis in these mice. The highest disease burden was in general seen after 5 to 6 weeks following treatment initiation. However, anti-dsDNA antibodies production increased after 4 to 5 weeks and 8 to 10 weeks post-treatment onset. The age-matched controls did not manifest disease within the experimental time frame.

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)0.001
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.010
GPT teacher head0.247
Teacher spread0.237 · 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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Citations1
Published2025
Admission routes1
Has abstractyes

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