P.090 Evaluation of Mutant Alleles of Engrailed and Invected in Drosophila Melanogaster Models of Parkinson Disease
Bibliographic record
Abstract
Background: Parkinson Disease (PD) is a neurodegenerative disorder, resulting in a gradual decline in voluntary movement, where lifespan remains stable. Drosophila melanogaster offer comparable gene sequences to those targeted in PD; among them are two transcription factors, engrailed (en) and invected (inv). Methods: Wild-type homozygous allele Oregon-R(en+, inv+) was compared to heterozygous mutants of en1, en4, en7, en54, en58, invW, inv30, and Df (2R) enEinvE. Nine climbing and aging studies were executed from crosses with w1118(en+, inv+) as the maternal genotype. Results: Independent-samples t-tests were conducted to compare the percent survival (in days). No significant differences were observed between the experimental groups and the control group. A mixed Analysis of Variance was conducted to compare climbing behaviour over time (in weeks) for all nine groups. Both main effects (group, time), and the interaction (group x time) were significant. Post hoc Fisher’s Least Significant Difference tests revealed a significant difference between the control group and en1, en4, en54, invW, and Df (2R) enEinvE groups. Conclusions: These results support the hypothesis that mutations of en, inv, or both will result in a PD phenotype and consequent decreased motor function of D. melanogaster PD models, with or without a significant decrease in lifespan.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".