Low level of sarcolemmal phosphatidylinositol 4,5-bisphosphate in cardiomyopathic hamster (UM-X7.1) heart
Bibliographic record
Abstract
OBJECTIVE: Phosphatidylinositol 4,5-bisphosphate (PtdIns 4,5-P(2)) is not only a precursor to inositol 1,4,5-trisphosphate (Ins 1,4, 5-P(3)) and sn-1,2 diacylglycerol, but also essential for the function of several membrane proteins. The aim of this study was to evaluate the changes in the level of this phospholipid in the cell plasma membrane (sarcolemma, SL) of cardiomyopathic hamster (CMPH) heart. METHODS: We examined the cardiac SL PtdIns 4,5-P(2) mass and the activities of the enzymes responsible for its synthesis and hydrolysis in 250-day-old UM-X7.1 CMPH at a severe stage of congestive heart failure (CHF) and in age-matched controls (Syrian Golden hamsters). RESULTS: The SL PtdIns 4,5-P(2) mass in CMPH was reduced by 72% of the control value. The activities of PtdIns 4 kinase and PtdIns 4-P 5 kinase were depressed by 69 and 50% of control values, respectively. Although, the total phospholipase C (PLC) activity was moderately, although significantly, decreased (by 18% of control), PLCdelta(1) isoenzyme activity in the SL membrane was elevated, with a concomitant increase in its protein content, whereas PLCbeta(1) and gamma(1) isoenzyme activities were depressed despite the increase in their protein levels. A 2-fold increase in the Ins 1,4,5-P(3) concentration in the cytosol of the failing heart of CMPH was also observed. CONCLUSIONS: Reduced SL level of PtdIns 4, 5-P(2) may severely jeopardize cardiac cell function in this hamster model of CHF. In addition, the profound changes in the profile of heart SL PLC isoenzyme could alter the complex second messenger responses of these isoenzymes, and elevated Ins 1,4,5-P(3) levels may contribute to intracellular Ca(2+) overload in the failing cardiomyocyte.
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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 | 0.000 |
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".