In Vitro Treg Immunosuppression Assay of GITR Proteins Could Elucidate the Autoimmune-mediated Mechanism Underlying Type 1 Narcolepsy
Bibliographic record
Abstract
Abstract: Type 1 narcolepsy is a hypersomnia sleep disorder characterized by excessive daytime sleep and shallow NREM nighttime sleep. Deficiency of hypocretin-1 secreting neurons in the lateral hypothalamus is the primary cause of the disorder and studies demonstrated that these neurons were solely diminished in a brain region of remarkable heterogeneous neuronal population. Specific destruction of targeted neurons could be achieved via antigen presentation to immune cells, a characteristic of cell-mediated response in the adaptive immune system. Given that hypocretin-1 neurons were exclusively targeted, this cultivated significant interest in searching for an autoimmune-mediated mechanism but studies currently lack adequate knowledge and consistent results. In this research proposal, it is hypothesized that enhanced glucocorticoid-induced TNFR-related (GITR) protein expression in T regulatory (Treg) cells results in defective suppression capacity of CD4+CD25+ T helper cells and defective self-tolerance thereby promoting destruction of hypocretin-1 secreting-neurons in the lateral hypothalamus of narcoleptics. The proposal devises a correlational study to measure cerebrospinal fluid (CSF) hypocretin-1 levels that were inversely proportional to GITR expression levels in Treg cells to assess the autoimmune nature of the disorder. This study is aimed at investigating how defective T regulatory cells respond in type 1 narcolepsy patients via CSF hypocretin-1 measurement and in vitro human T regulatory cell suppression assay.
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) | 0.000 | 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 | 0.001 |
| 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".