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Downregulation of a pathogenic autoantibody response by IgM autoantibodies directed against the nephritogenic antigen in slowly progressive Heymann nephritis

2006· article· en· W2052714534 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePathology International · 2006
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAutoantibodyAntigenImmunologyNephritisImmune systemGlomerulonephritisProteinuriaAntibodyLupus nephritisImmunoglobulin GAutoimmune diseaseMedicineKidneyDiseasePathologyInternal medicine

Abstract

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The purpose of the study was to find out if a new modified vaccination technique would be effective in downregulating immunopathological events during the course of an experimental autoimmune kidney disease (which is morphologically and functionally similar to Heymann nephritis) called 'slowly progressive Heymann nephritis' (SPHN). We have shown that the pathogenic IgG autoantibody (aab)-induced experimental autoimmune kidney disease process can be downregulated early on as well as during the chronic progressive phase, when rats were restimulated. The IgM aab, resulting from stimulation by immune complexes made up of rat kidney fraction 3 (rKF3) antigen and rat anti-rKF3 IgM antibody in antigen excess (MIC), can greatly diminish pathogenic aab production by removing or blocking nephritogenic antigens. Reduced IgG aab production limits the formation of damaging immune complexes (IC) in the glomeruli and development of proteinuria. At the end of the experiment 60% and 80% of the MIC-treated groups had no pathogenic IgG aab in their circulation, while all the untreated SPHN rats had high levels of IgG aab associated with disease progression manifesting in increased proteinuria and severe immune complex glomerulonephritis.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.263
Teacher spread0.258 · 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