Quantification of myo‐inositol cotransporter expression in control and streptozotocin‐treated rats.
Bibliographic record
Abstract
Myo‐inositol (MI) uptakes in cells is essentially performed by two Na + ‐coupled transport systems; SMIT1, a basolateral system inducible through hypertonicity and SMIT2, an apical system responsible for MI uptake in the kidney and intestine, amongst other tissues. In diabetes, urinary MI excretion is increased by 1 order of magnitude through a non‐established mechanism. The purpose of this study is thus to investigate the influence of an acute diabetic condition (5‐day streptozotocintreatment) on the expression of both SMIT mRNA's in rat brain, liver, muscle, kidney and intestine through quantitative‐RT‐PCR (qRT‐PCR). Also, SMIT2 activity was determined by measuring MI transport in purified brush border membranes (BBMv) from kidney and intestine. SMIT1 transcripts are mainly found in the kidney where it doubles in diabetic rats. Other tissues show more modest mRNA levels and were not altered in diabetes. SMIT2 transcripts were found in all tested tissues in varying levels but were not modified in diabetes. MI uptakes performed on kidney and intestine BBMv confirmed the qRT‐PCR results showing no variations of transport in STZ rats due to SMIT2. We thus conclude that the increase in MI urinary excretion is not due to a reduction in the apical expression of MI cotransporter SMIT2.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 | 0.000 |
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".