EPA-1718 - Neuropathological alterations in FTD cases with C9ORF72 mutation - new insights
Bibliographic record
Abstract
A G4C2 repeat extension in the first intron of C9ORF72 is the most common cause of familial frontotemporal dementia with and without motoneuron disease or atypical Parkinsonism. We recently found that the characteristic p62 positive/TDP43 negative neuronal cytoplasmic inclusions (NCIs) mainly seen in cerebellum und hippocampus consist of different dipeptide repeat proteins (DPRs) generated by an ATG independent translation of stable sense and antisense transcripts of the extended intron. After creating specific antibodies against all potential DPRs resulting from different reading frames, we investigated their regional and cellular distribution pattern in the central nervous system of autopsy cases with C9ORF72 mutation by immunohistochemistry. Aggregates of all DPRs were seen in neuronal cell bodies and processes. Glycine-alanine and glycine-prolin DPRs dominated. NCIs were abundant in all neocortical areas, in the hippocampal formation and in cerebellum, less frequent in subcortical nuclei, and rare in brain stem and spinal cord following a rostro-caudal gradient. Different DPRs were found in the same NCI. The regional distribution pattern of NCIs was similar in all clinical subtypes, and did not directly correlate with neurodegeneration. DPRs and TDP43 that usually also aggregates in C9ORF72 mutation cases were rarely co-localized in the same NCI. In case of co-localization DPR proteins formed a central core surrounded by TDP43. The detection of DPR inclusions directly connects the mutation with specific neuropathological alterations. The formation of DPR inclusions seems to precede the formation of TDP43 inclusions. If there is a neurotoxic effect of DPRs, DPR inclusions might be neuroprotective.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".