Down‐regulation of pathogenic autoantibody response in a slowly progressive Heymann nephritis kidney disease model
Bibliographic record
Abstract
In the present article, we describe an antigen-specific down-regulation of a pathogenic autoantibody (aab)-mediated disease process in an experimental autoimmune kidney disease in rats called slowly progressive Heymann nephritis (SPHN). This autoimmune disease is initiated and maintained by pathogenic immunoglobulin G (IgG) autoantibodies (aabs), which cause an immune-complex (IC) glomerulonephritis associated with proteinuria. We achieved down-regulated pathogenic aab response in SPHN rats by injections of an IC containing the native nephritogenic antigen and specific high-titred nonpathogenic IgM aabs, in antigen excess. The injected IC increased the level of circulating nonpathogenic IgM aabs; the increased levels of specific IgM aabs in turn facilitated the removal of the injected altered nephritogenic and liberated autoantigens from the renal tubules and greatly diminished the production of pathogenic aabs and the build up of immune deposits in the glomeruli. While animals treated early had advantages over rats whose kidney disease was well established before treatment; animals treated late into the disease still manifested noticeable improvements in similar areas, i.e. with lessened proteinuria, kidney lesion reduction and a decreased pathogenic aab response. At the end of the experiment at 29 weeks, 80% of all the treated rats had insignificantly low levels of circulating IgG aabs, indicating cessation of pathogenic aab production and corresponding termination of the disease process. In contrast, most untreated rats with the kidney disease still had high levels of circulating pathogenic aabs at the end of the experiment, which maintained disease progression.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".