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Production of Heymann nephritis by a chemically modified renal antigen

2004· article· en· W1899135655 on OpenAlexaff
A. Z. Barabas, Chad Cole, René Lafrenière

Bibliographic record

VenueInternational Journal of Experimental Pathology · 2004
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsHealth Sciences CentreUniversity of Calgary
Fundersnot available
KeywordsAntigenKidneyProteinuriaAntibodyAutoantibodyChemistryNephritisLupus nephritisAdjuvantBrush borderGlomerulonephritisInternal medicineKidney diseaseEndocrinologyMedicinePathologyImmunologyBiochemistryDiseaseVesicle

Abstract

fetched live from OpenAlex

An autoimmune kidney disease morphologically and functionally similar to Heymann nephritis (HN) was induced in mature male Sprague Dawley rats by repeated weekly IP injections of a chemically modified azo sonicated ultracentrifuged (u/c) rat kidney fraction 3 (rKF3) antigen in an aqueous medium. The experiment was terminated 15 weeks after the first injection of the chemically altered antigen. Serum samples collected and analysed by an indirect fluorescent antibody test on normal rat kidney sections during the course of the experiment showed a gradual rise in circulating pathogenic autoantibodies directed against the proximal tubular brush border regions. Proteinuria was present and significantly increased in the urine of two of eight rats. The arising immune-complex glomerulonephritis (ICGN) revealed typical HN kidney disease lesions in 70% of the rats in histological, direct fluorescent antibody and electron-microscopical examinations. Control rats injected similarly with the an unmodified version of the same antigen did not develop the HN-characteristic morphological and functional changes. To our knowledge, this is the first time that the autoimmune kidney disease designated as an active HN has been produced by the administration of a chemically altered renal antigen in an aqueous solution and not by the usual presentation of the nephritogenic renal antigen in an adjuvant.

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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.345

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 head0.012
GPT teacher head0.301
Teacher spread0.289 · 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 teacher head, 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".

Quick stats

Citations20
Published2004
Admission routes1
Has abstractyes

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