Bibliographic record
Abstract
Primary immune-mediated hemolytic anemia (IMHA) is an important cause of serious morbidity and mortality in dogs. Despite numerous studies examining the demographics, treatment options, and prognostic indicators of disease, the mechanisms that underlie immune dysregulation remain poorly understood. The purpose of this study was to directly identify unique erythrocyte membrane antigens in dogs diagnosed with primary IMHA. Blood samples were obtained from dogs presented to the Ontario Veterinary College Teaching Hospital with primary IMHA prior to treatment, and also from control dogs (healthy dogs and dogs with non-immunologic anemia). Antibodies bound to erythrocyte membranes were eluted using xylene. Immunoblots using patient eluates reacted against pooled canine erythrocyte lysates, and autologous patient plasma reacted against xylene eluates, were performed. These results were compared to results of similar experiments using samples from control dogs. Bands appearing in patient but not control samples were considered potential autoantigens, and were submitted for identification by liquid chromatography followed by tandem mass spectrometry. Samples from 13 dogs with primary IMHA, 4 dogs with non-immunologic anemia, and 2 healthy dogs, were analyzed. Immunoblotting confirmed the presence of immunoglobulin in eluates from all dogs. Semi-quantitatively, eluates from IMHA patients contained more immunoglobulin than those of control dogs. Mass spectrometry identified complement C3 in patient but not in control dog samples. Additional peptides identified by mass spectrometry in patient but not control dog samples included peroxiredoxin 2 and calpain. The former comprises a cytosolic hydrogen peroxide scavenger, and has been associated with erythrocyte membranes under oxidative stress conditions inducing spherocytosis. Calpain is a calcium-dependent protease that may become activated with oxidative stress and induce erythrocyte apoptosis. These findings suggest that oxidative stress and apoptosis contribute to the pathogenesis of canine IMHA.
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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 | 0.001 | 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) | 0.001 | 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".