Dissociation of Immune Complexes in Tissue Sections by Excess of Antigen
Bibliographic record
Abstract
Immune complexes (IC) present in the glomeruli of rabbits with chronic serum sickness (CSS) and in patients with systemic lupus erythematosus (SLE), idiopathic membranous nephropathy (IMN), and acute poststreptococcal glomerulonephritis (PSGN) were analyzed by incubation with antigenic preparations. The efficacy of these preparations to dissolve IC was assayed by comparison of results of direct immunofluorescence tests performed with the kidney tissues before and after incubation with antigenic preparations. The FITC-conjugated antisera used in these tests were specific for IgG, C3, and-in the case of CSS-for the eliciting antigen, bovine serum albumin (BSA). During the acute proteinuric phase of CSS in rabbits, incubation of tissue sections with BSA alone led to complete dissolution of IC. In many rabbits with late phase proteinuria, however, tissues had to be incubated with both BSA and aggregated fraction II of rabbit serum. In all biopsy specimens from patients with IMN, and in some specimens from patients with PSGN and SLE, aggregated fraction II of human serum resulted in complete or incomplete dissolution of IC. On the other hand, incubation of tissues with excess DNA in SLE or with streptococcal antigens PSGN did not lead to dissolution of IC. These studies suggest significant participation of antibodies to aggregated immunoglobulins (i.e., rheumatoid factors or rheumatoid-like factors) in IC found in the above-mentioned diseases. Other antigen -antibody systems, however, may also contribute to the deposits in the glomerulonephritides studied.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".