Evidence of Biomembrane Lipid Glycation
Bibliographic record
Abstract
メイラード反応（グリケーション）はタンパク質と糖など親水性分子同士の研究がほとんどであったが，著者らはこの反応が脂質と糖の間でも起きることを発見した．この発見は，高血糖状態で細胞小器官の膜リン脂質が糖化され，これが糖尿病などの疾病の増悪化に関与するという新しい生体内反応の可能性を示唆した．その後の研究で，糖化脂質が酸化ストレス（脂質過酸化）や血管新生の原因物質であることを突き止めた．更に，高純度な糖化脂質の調製技術と高感度定量法の開発に成功し，糖化脂質が糖尿病者の血しょうに高濃度に蓄積している証拠を見いだした．高血糖に付随する様々な障害が脂質グリケーションを介して進む可能性があり，本稿では糖化脂質の分析技術を述べながら，生体膜脂質グリケーションの実態と，脂質過酸化・細胞機能障害へのかかわりを明確にしようとする著者らのアプローチを紹介する．
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".