PINK1-dependent NFKB signaling contributes to amyloid pathology in Alzheimer disease
Bibliographic record
Abstract
Mitochondrial dysfunction plays a preponderant role in the development of Alzheimer disease (AD). We have demonstrated that activation of PINK1 (PTEN induced kinase 1)-dependent mitophagy ameliorates amyloid pathology, attenuates mitochondrial and synaptic dysfunction, and improves cognitive function. However, the underlying mechanisms remain largely unknown. Using a newly generated PINK1-AD transgenic mouse model and AD neuronal cell lines, we provide substantial evidence supporting the contribution of PINK1-mediated mitochondrial ROS (reactive oxygen species) and NFKB/NF-κB (nuclear factor kappa B) signaling to altering APP (amyloid beta precursor protein) processing and Aβ metabolism. Enhancing neuronal PINK1 is sufficient to suppress Aβ-induced activation of NFKB signal transduction in PINK1-overexpressed Aβ-AD mice and Aβ-producing neurons. Blocking PINK1-mediated NFKB activation inhibits activities of BACE1 (beta-secretase 1) and γ-secretase, which are key enzymes for cleavage of APP processing to produce Aβ. Conversely, loss or knockdown of PINK1 produces excessive ROS, along with increased phosphorylated NFKB1/p50 and RELA/p65 subunits, APP-related BACE1 and γ-secretase, and Aβ accumulation. Importantly, these detrimental effects were robustly blocked by the addition of scavenging PINK1 Aβ-induced mitochondrial ROS, leading to the suppression of NFKB activation, restoration of normal APP processing, and limitation of Aβ accumulation. Thus, our findings highlight a novel mechanism underlying PINK1-mediated modulation of Aβ metabolism via a ROS-NFKB-APP processing nexus. Activation of PINK1 signaling could be a potential therapeutic avenue for the early stages of AD by combining improving mitochondrial quality control with limiting amyloid pathology in AD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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) | 0.000 | 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 teacher head, 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".