Increased expression of insulin-like growth factors in progressive glomerulonephritis of the MRL lpr mouse
Bibliographic record
Abstract
Glomerulonephritis is an important complication of systemic lupus erythematosus (SLE). The tissue distribution and exact role of the insulin-like growth factors (IGFs) in the development of lupus nephritis in the MRL/lpr mouse model have not been established. The present study was undertaken to evaluate the changes over time in mRNA and peptide expression of IGF-I and IGFBP-2 in the MRL/lpr mouse. Using in situ hybridization and immunocytochemistry techniques, the expression of IGF-I and IGFBP-2 in MRL/lpr mouse was examined and compared to their congenic normal MRL-++ mouse counterparts from nine to 24 weeks of age. In the MRL-++ and MRL/lpr mouse kidneys, IGF-I and IGFBP-2 mRNA expression was limited to the cortical and medullary collecting ducts, while their immunoreactivity (IR) was localized to the cortical and medullary collecting ducts, loop of Henle, glomeruli and proximal tubules. Over time, and with progression of disease, the MRL/lpr mice displayed a significant increase in IGF-I IR and a modest increase in IGFBP-2 IR within the outer cortical glomeruli, which was associated with a significant increase in glomerulosclerosis and glomerular cell proliferation and with a significant decrease in renal function. In conclusion, this overexpression of IGF-I and IGFBP-2 within the glomeruli of the MRL/lpr mouse kidney supports their potential role in the alterations in renal function and morphology that accompany lupus nephritis.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".