Bibliographic record
Abstract
This editorial refers to ‘Silencing of Int6 gene restores function of the ischaemic hindlimb in a rat model of peripheral arterial disease’ by N. Okamoto et al., pp. 209–217, this issue. Okamoto et al.1 report that Int6 levels are reduced by direct administration of silencing small-interfering RNA (siRNA) into the hindlimb (adductor) muscles immediately following ligation of the external iliac artery. Ligation of the external iliac artery is a model of limb ischaemia. Ischaemia, whether in the brain, heart, or other tissue, is a complex metabolic injury. When a blood vessel is occluded, the underperfused area experiences a cascade of events beginning within 1 or 2 min and progresses for months. In tissue undergoing ischaemia, there is a gradient of injury that expands with time through space. The central area, where hypoxia is severe, becomes necrotic. With the initiation of ischaemia, as oxygen levels fall, ATP levels fall in the affected cells, and as minutes go by, ion pumps in the cell membranes stop. Various cell signalling pathways respond and transcription factors are activated and many changes occur in gene expression. The severity of hypoxia determines whether cells die of necrosis or of programmed cell death. By 1 day, inflammatory cells are infiltrating into the ischaemic area. The surrounding non-ischaemic tissue, affected by excitotoxicity or mechanical stresses, has changes in gene expression and protein homeostasis that last for many weeks.
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.014 | 0.016 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".