SMIT2 mediates all myo‐inositol uptake in apical membranes of rat small intestine
Bibliographic record
Abstract
This study presents the characterization of MI uptake in rat intestine using purified membrane preparations (BBMv). The two Na + ‐coupled myo‐inositol (MI) cotransporters identified (SMIT1 and SMIT2) can be differentiated through inhibition studies using the selective substrates D‐chiro‐inositol (DCI, specific for SMIT2) and L‐fucose (specific for SMIT1). Results show that SMIT2 is exclusively responsible for apical MI transport in rat intestine. Other sugar transport systems present in apical membranes (SGLT1 and GLUT5) lacked any significant contribution to MI uptake. Functional analysis of rat SMIT2 activity determined using electrophysiological studies in Xenopus oocytes, demonstrated similarities to the activities of SMIT2 from species (rabbit and human), displaying high affinities for MI (0.150 ± 0.040 mM), DCI (0.31 ± 0.06 mM) and Pz (0.016 ± 0.007 mM), low affinity for glucose (36 ± 7 mM) and no affinity for L‐fucose. Electrophysiological studies essentially confirmed those found in rat intestinal BBMv with exception of glucose affinity which was about 40‐fold higher in vesicles (Ki = 0.94 ± 0.35 mM) when compared to oocytes. Finally, GLUT2 expressed in oocytes did not mediate any significant radiolabelled MI uptake, indicating that this transport system does not participate in the basolateral exit of MI from small intestine.
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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) | 0.000 | 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) | 0.001 | 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".