A pedigree study on early ⁃ onset Alzheimer's disease associated with PSEN2 V214L mutation
Bibliographic record
Abstract
Objective To report clinical phenotype and gene mutation characteristics of one case of early⁃onset Alzheimer's disease (EOAD) associated with PSEN2 V214L mutation and conduct a pedigree analysis. Methods and Results A 63⁃year⁃old male proband with no family history of dementia, onset at 58 years old, had memory loss as the first manifestation and progressive aggravation of symptoms. Neuropsychological tests showed a score of 1 on Mini⁃Mental State Examination (MMSE), 0 on Montreal Cognitive Assessment (MoCA), 71 on Activities of Daily Living Scale (ADL), and 3 on Hachinski Ischemic Score (HIS). Head MRI revealed extensive cortical atrophy, with prominent atrophy of bilateral hippocampal, multiple hyperintensity in deep white matter (Fazekas grade 2). Exons of high⁃throughput sequencing of dementia⁃related genes showed that both the proband and his sister had heterozygous missense mutations in exon 8 of PSEN2 gene c.640G>T (p.V214L) and heterozygous splicing mutations in exon 28 of SORL1 gene c.3815⁃4A>C. The proband was finally diagnosed with EOAD associated with PSEN2 V214L mutation, and the proband's sister was considered as an absolute risk group for Alzheimer's disease (AD). Conclusions The PSEN2 V214L mutation probably causes EOAD. Further investigations should be conducted to evaluate the effects on the production of amyloid β⁃protein 40 and 42 (Aβ40 and Aβ42), then verify its pathogenicity.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".