Abstracts for 2015th Annual Poster Presentation (Research Institute for Diseases of Old Age)
Bibliographic record
Abstract
Type 2 diabetes (T2D) is a metabolic disease that affects over 340 million people worldwide. This condition can go unnoticed and undiagnosed for years, leading to a late stage where high blood sugar produces complications such as delayed wound healing . Current research has shown that eicosanoids participate in the decrease of insulin signaling and 12-HTT through its receptor BLT2 accelerates keratinocyte migration and wound healing . Aditionally, evidence has emerged about the role of nitric oxide (NO) as a proregenerative mediator that is decreased in type 2 diabetes, however there are no reports linking BLT2 and this free radical, as mechanism associated to reepithelization. Aim: to elucidate the role of keratinocyte BLT2 in response to hyperglycemia, and the participtation of NO as a mediator of cellular migration. Methods: 12 males, 9 weeks old C57BL/6J were divided in 2 groups. 6 animals were fed for 5 weeks with High Fat Diet and 6 with control diet. During the protocol, the weight and blood glucose was measured weekly. At 5 th week the animals were euthanatized and the skin was analyzed. In vitro, HaCaT cells were transfected with a FLAG-tagged human BLT2-pCXN2.1 or the empty pCXN2.1 vector. Stable transfectants were selected in the presence of
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 | 0.001 | 0.003 |
| 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) | 0.000 | 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".