It's JustiFlied: The Endogenous Retrovirus K Integrase Induces Motor Disturbances in Transgenic Drosophila
Bibliographic record
Abstract
Amyotrophic Lateral Sclerosis (ALS) is an incurable neurodegenerative disease characterized by the loss of cortical and spinal motor neurons. Endogenous retrovirus K (ERVK) is a genomic viral symbiont that has been associated with motor neuron loss in ALS. The ERVK integrase (IN) is an enzyme with a role in driving neuropathology and motor deficit. The primary role of the viral IN enzyme is to insert viral DNA into the host cell genome. Accumulating evidence also points to ERVK IN activity causing DNA damage and genomic instability in the host. In Drosophila, retroelement activity contributes to deregulation of the ALS risk gene TARDBP (TDP-43, TBPH in Drosophila) via DNA damage-mediated cell toxicity. This suggests a dynamic interaction between TDP-43 biology, DNA damage and retroelements. I have determined that motor disability in ERVK IN expressing Drosophila correlates with neuropathological evidence of DNA damage, inflammation, and TDP-43 aggregation. Viability and behavioral assays and the Trikinetics DAM5H monitor were used to assess motor impairment in ERVK IN expressing flies. Two FDA approved HIV integrase inhibitors were administered to determine if the progression of motor impairments could be limited. Western blot analysis was used to monitor changes in ERVK IN, ãH2AV (DNA damage marker), TDP-43, PARP1 and other related proteins over time. Pathological molecular markers were correlated with behavioural assays for motor function, to identify potential biomarkers. Establishment of this model allowed me to assess the association between ERVK IN-driven motor impairment and neuropathological outcomes. Determining the effect of integrase inhibitors in ERVK IN expressing Drosophila is a crucial step towards evaluating antivirals as a novel therapeutic strategy for the reversal of motor neuron damage and motor deficit in ALS.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".