Downregulation of a pathogenic autoantibody response by IgM autoantibodies directed against the nephritogenic antigen in slowly progressive Heymann nephritis
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".