Mitochondrial antigen-specific CD8⁺ T cells drive dopamine neuron neurodegeneration
Bibliographic record
Abstract
Summary The progressive degeneration of dopamine (DA) neurons drives motor symptoms in Parkinson’s disease (PD). Whether this neuronal degeneration is due to cell-autonomous dysfunctions in DA neurons or to death signals generated by other cell types is a key problem to address. Recent evidence suggests that loss of function of the protein PINK1, linked to early-onset forms of PD, enhances the presentation of self-derived mitochondrial antigens, which induces the response of autoreactive CD8 + T cells. Whether mitochondrial antigen-specific CD8 + T cells alone are sufficient to induce nigrostriatal dysfunction has not been directly tested. Here we performed adoptive transfer of mitochondrial antigen-specific CD8 + T cells into wild-type or PINK1-deficient mice. We provide evidence for the entry and persistence of such cells in the brain and show that this leads to levodopa-reversible motor dysfunctions and partial degeneration of the nigrostriatal DA system in both genotypes. These findings establish that brain entry of autoreactive CD8 + T cells is sufficient to drive nigrostriatal degeneration and parkinsonian motor deficits, providing the most direct support to date for the hypothesis that an adaptive immune attack plays a key role in PD-like neurodegeneration.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".