Covalent Binding of Acetone to Aminophospholipids <i>in Vitro</i> and <i>in Vivo</i>
Bibliographic record
Abstract
We have determined the ions characteristic of acetone adducts of reference aminophospholipids and have used them as markers for identification of acetone adducts of aminophospholipids in commercial lecithin, acetone extracts of tissue lipids, and in plasma and red blood cells of diabetic subjects. The acetonation products were determined by normal-phase high-performance liquid chromatography (HPLC) with on-line electrospray-mass spectrometry, and electrospray/collision-induced dissociation in the negative ion mode. The major acetone complexes of PtdEtn and PtdSer were identified as the diacetone derivatives [PtdEtn+116-H2O]- and [PtdSer+116-H2O]-, respectively, although ions corresponding to monoacetone [PtdEtn+58-H2O]- and doubly dehydrated diacetone adducts [PtdSer+116-2 x 18]- were also observed. Upon increase of the capillary exit voltage (CapEx) from -160 to -300 V, new ions appeared with the original retention time but with 58 masses (one acetone molecule) lower than the mass of the parent compounds, along with fragment ions corresponding to lysoGPE+40 and free fatty acids. Scanning of chloroform/methanol extracts of red blood cell lipids of two of five diabetic subjects examined yielded elevated levels (in relation to nondiabetic subjects) for ions corresponding to the diacetone adducts [M+98]- of the major molecular species of PtdEtn and PtdSer. Because of possible overlap with major molecular species of PtdIns, the identification of the acetonated PtdSer in diabetic blood requires further confirmation.
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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 | 0.000 | 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".