Comparative Expression of Human Endogenous Retrovirus-W Genes in Multiple Sclerosis
Bibliographic record
Abstract
Human endogenous retroviruses (HERVs) have been associated with multiple sclerosis (MS) pathogenesis. Several related HERV-W sequences have been implicated in disease occurrence and progression; the MS retrovirus (MSRV) is one such element whose envelope protein has been recently demonstrated to be involved in innate immune pathogenesis. To distinguish MSRV from other HERV-W sequences we analyzed the relative abundance of individual HERV-W env sequences by employing a real-time PCR approach using specific oligonucleotide primers and tissue samples from MS and non-MS patients. Our analyses reveal that ERVWE1 env-encoding DNA and RNA exhibited increased detection (p < 0.05) and expression (p < 0.01) in the brains of MS patients. Similarly, ERVWE1 env transcripts were inducible in glial cells (p < 0.05), while comparable changes in MSRV abundance were not observed. These results indicate that individual HERVs might have distinct roles in MS pathogenesis.
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 | 0.000 |
| 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".