Differential reduction in cardiac and liver monolysocardiolipin acyltransferase-1 and reduction in cardiac and liver tetralinoleoyl-cardiolipin in the α-subunit of trifunctional protein heterozygous knockout mice
Bibliographic record
Abstract
The contribution of α-subunit of trifunctional protein (αTFP) to cardiolipin (CL) (diphosphatidylglycerol) remodelling and mitochondrial supercomplex formation was examined in heart and liver mitochondria from wild-type (WT) and αTFP heterozygous knockout [Mtpa(+/-)] mice. Mtpa(+/-) mouse heart and liver exhibited an approximate 55% and 50% reduction in αTFP protein expression compared with WT respectively. Monolysocardiolipin (MLCL) acyltransferase (MLCL AT)-1 protein derived from αTFP was reduced by 30% in Mtpa(+/-) mouse heart but not in liver compared with WT. In vitro acylation of MLCL was significantly reduced in heart but not in liver mitochondria of Mtpa(+/-) mice compared with WT. CL mass was reduced and significant reductions in linoleate-containing CL species, in particular tetralinoleoyl-CL (L4-CL) and trilinoleoyl-CL (L3-MLCL) species, were observed in heart and liver mitochondria of Mtpa(+/-) mice compared with WT. Cardiac and liver mitochondrial supercomplex assembly and NADH dehydrogenase (complex I) activity within these supercomplexes were unaltered in both Mtpa(+/-) mouse heart and Mtpa(+/-) mouse liver compared with WT. The results indicate that αTFP may modulate CL molecular species composition in murine heart and liver. In addition, L4-CL might not be an essential requirement for mitochondrial supercomplex assembly.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".