Autoantibodies from patients with idiopathic ataxia bind to M-phase phosphoprotein-1 (MPP1).
Bibliographic record
Abstract
In an attempt to identify unique disease-related autoantibodies, the serum from an ataxia and sensory neuropathy patient was used as a probe to isolate a 2.5-kd cDNA from a HeLa expression library. The nucleotide sequence was 99% identical to MPP1, a cell-cycle-related nuclear protein phosphorylated during mitosis. Expression of the cDNA in an in vitro translation system yielded a recombinant protein that migrated in SDS-PAGE at approximately 97 kd. This protein was immunoprecipitated by the prototype human serum, by an immune guinea pig anti-MPP1 serum, but not by normal human serum or preimmune guinea pig serum. Western blot analysis of HeLa cell proteins showed that the prototype human serum and immune guinea pig antiserum recognized an approximately 225-kd protein, suggesting that the isolated clone contained a partial cDNA. By indirect immunofluorescence, the affinity-purified antibody and a guinea pig antiserum reacted with nuclei of interphase HEp-2 cells and the cytoplasm of certain neuronal cells. Sera from 10 of 25 unselected patients with ataxia, 1 of 30 patients with peripheral neuropathy, 1 of 50 multiple sclerosis patients, 0 of 20 amyotrophic lateral sclerosis, 0 of 10 children with postviral ataxia, 0 of 10 systemic lupus erythematosus patients, 0 of 3 patients with hereditary cerebellar ataxia, 0 of 8 with ataxia telangiectasia, and 0 of 30 age- and gender-matched controls immunoprecipitated the recombinant MPP1 protein. None of the patients with anti-MPP1 antibodies had evidence of malignancy. This is the first report of MPP1 as a target autoantigen in patients with idiopathic ataxia.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
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".