Accumulation of Transactive Response DNA Binding Protein 43 in Mild Cognitive Impairment and Alzheimer Disease
Bibliographic record
Abstract
Transactive response DNA binding protein 43 (TDP-43) plays a central role in the neuropathology of frontotemporal lobar degeneration and amyotrophic lateral sclerosis, but the relationship between TDP-43 abnormalities and Alzheimer disease (AD) remains unclear. To determine whether TDP-43 can serve as a neuropathologic marker of AD, we performed biochemical characterization and quantification of TDP-43 in homogenates from parietal neocortex of subjects with aclinical diagnosis of no cognitive impairment (NCI, n = 12), mild cognitive impairment (MCI, n = 12), or AD (n = 12). Immunoblots revealed increased detergent-insoluble TDP-43 in the cortex of 0, 3, and 6 of the 12 individuals with NCI, MCI, or AD, respectively. Detergent-insoluble TDP-43 was positively correlated with the accumulation of soluble Aβ42, amyloid plaques, and paired helical filamenttau. In contrast, phospho-TDP-43 was decreased in the cytosolic fraction and detergent-soluble membrane/nuclear fraction from AD patients and correlated with antemortem cognitive function.Immunofluorescence analysis confirmed that the frequencies of individuals with TDP-43 or phospho-TDP-43 cytoplasmic inclusions were higher in AD than in NCI, with MCI at an intermediate level. These data indicate that abnormalities of TDP-43 occur in an important subset of MCI and AD patients and that they correlate with the clinical and neuropathologic features of AD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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".