Bibliographic record
Abstract
this commentary is the first of what I hope will be a regular column that will highlight important discoveries in the basic neurosciences.specifically, my intent is to inform those in the clinical neurosciences who usually do not have the time to read and/or access high impact neuroscience journals about breakthroughs that have the potential to be transformative in our understanding and treatment of neurological disorders.In this first installment, I highlight a recent report published in nature neuroscience showing a novel therapeutic target that may show great promise in the treatment of Multiple sclerosis (Ms) 1 .It is common knowledge that Ms is characterized by the inflammation and subsequent loss of myelin in the central nervous system.the understanding of how this occurs is not completely known, limiting treatment options.It is known that certain immune mediators such as t helper cell 17 (t H 17), in a mouse model of Ms, is important for the induction and maintenance of encephalomyelitis (eae).Indeed, in humans t H 17 cells have been found in the Ms lesions.How these cells are activated and controlled is not clear but their priming by various antigen presenting cells is known to be required.In particular it is known that viral nucleic acids may be an important co-factor in this activation.this activation is also known to be mediated by a toll-like receptors (tLRs) and a family of helicases known as the Retinoic acid-inducible gene 1like helicases (RLH) that include retinoic acid inducible gene I (RIG-1) and melanoma differentiation associated gene 5 (MDa5).What the authors have found is that RLHs are negative regulators of sterile inflammation thereby opening up new therapeutic opportunities for the treatment of Ms.the authors showed that in wild type mice, when challenged with myelin oligodendrocyte glycoprotein peptide 35-55 (MOG 35-55 ), 100 % developed eae. 1 However in mice lacking the adapter protein interferon promotor stimulator (IPs-1), which is essential for mediating the effects of RIG-I and MDa5, both the clinical score and macrophage infiltration were decreased.there was also reduced demyelination as well as an increase in anti-inflammatory cytokine production.Using activators of RLHs, such as 3phospho-Rna (3pRna) or poly
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".