Colchicine Reduces Proteinuria in Passive Heymann Nephritis
Bibliographic record
Abstract
Colchicine was given to rats in the heterologous phase of passive Heymann nephritis to see whether this drug could reduce proteinuria. Treatment with 0.06 mg/day for 14 days caused significant reductions in proteinuria and albuminuria. Administration of dimethyl sulfoxide (DMSO) alone or in combination with colchicine also reduced protein and albumin excretion. In a long-term experiment, rats treated with colchicine had significantly less proteinuria. After stopping therapy, urine protein excretion was similar to controls. No differences in glomerular C3 and IgG deposition were found between treated and control rats 24 h, 3,7 and 14 days after immunization. Depressed serum C3 levels were measured at 24 h in colchicine-treated rats. No difference in serum-circulating immune complexes was detected between the two groups. Concurrent administration of indomethacin and colchicine to rats with passive Heymann nephritis (PHN) partially reversed the reduction in proteinuria and albuminuria seen in rats treated with colchicine alone. The G.F.R, however, was significantly reduced in colchicine-treated rats as well as in rats treated with colchicine and indomethacin. Serum cholesterol and triglyceride levels were significantly lower in colchicine-treated rats than in controls. Serum cholesterol concentrations in rats given both colchicine and indomethacin were similar to control values. These findings suggest that colchicine reduces urine protein and albumin excretion, and hyperlipidemia in PHN. The finding that indomethacin partially blocks the effects of colchicine suggests that renal prostaglandin stimulation by colchicine may have been involved in the reduction in proteinuria.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".