MAPK family members differentially regulate pThr175 tau-mediated pathogenicity
Bibliographic record
Abstract
The phosphorylation of tau is a critical determinant of both its physiological function and the induction of pathological misfolding and aggregation. We have previously provided evidence that tau phosphorylation at Thr175 results in the exposure of the N-terminal phosphatase-activating domain (PAD) leading to the subsequent phosphorylation of Thr231, and formation of tau oligomers. A number of tauopathies, including chronic traumatic encephalopathy (CTE), amyotrophic lateral sclerosis with cognitive impairment (ALSci), and experimental traumatic brain injury (TBI) have been proposed to be associated with this cascade of events. However, the cellular mechanism by which Thr175 tau is phosphorylated remains unclear. In this study we identified ERK2, JNK1, and p38 as candidate kinases through molecular and histological analyses in a rodent model of TBI, where increased kinase activity and protein interaction were associated with pThr175 tau. We confirmed that both ERK2 and JNK1 are capable of phosphorylating Thr175 tau in vitro, but only ERK2-mediated phosphorylation of Thr175 tau induced the pathological cascade characterized by PAD exposure and the generation of oligomeric, truncated and neurofibrillary tau. Thr175 phosphorylation was also associated with an altered interaction between tau and the molecular chaperone protein DnaJC7, which regulates tau misfolding. Additionally, we observed that pThr175 and pThr231 tau were increased by oxidative stress, which was associated with the activation of the MAPK signaling pathways. These findings further clarify the mechanisms leading to Thr175 tau phosphorylation and its role in pathological tau formation by identifying ERK1 and JNK2 as important cellular mediators.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".