Serum interleukin 17 concentrations in dogs with immune-mediated hemolytic anemia
Bibliographic record
Abstract
BACKGROUND: Increased serum interleukin 17 (IL-17) concentration has been associated with the immunopathogenesis of autoimmune hemolytic anemia in humans. No data are available about IL-17 in immune-mediated hemolytic anemia (IMHA) of dogs. OBJECTIVES: Monitor changes in serum IL-17 concentration during the acute stages of IMHA in dogs, compared with results in healthy dogs, and its relationship with outcome. ANIMALS: Thirty-one client-owned dogs with primary IMHA and 27 healthy dogs. METHODS: Quantification of serum IL-17 concentration using a commercially available ELISA kit at the time of admission (D0), after 48 hours (D2) and after 96 hours (D4) as compared to concentration in healthy dogs. The IMHA dogs were classified as survivors if discharged from hospital, or nonsurvivors for any cause of in-hospital mortality. RESULTS: Mean serum IL-17 concentration was higher in dogs with IMHA on admission compared with healthy dogs (D0), but this difference was not significant (mean, 19.52 pg/mL vs 10.52 pg/mL, respectively, P = .17). Throughout hospitalization, serum IL-17 concentration significantly decreased in survivors. Serum IL-17 concentration at D0 was not different between survivors and nonsurvivors, but surviving dogs had significantly lower serum IL-17 concentration at D2 and D4 (P = .04 and P = .004, respectively) compared with nonsurviving dogs. No correlation was found between serum IL-17 concentration and serum total bilirubin or lactate concentrations or CBC parameters. CONCLUSION AND CLINICAL IMPORTANCE: Serum IL-17 concentration remained significantly higher in nonsurviving IMHA dogs whereas it significantly decreased during hospitalization in survivors, making serum IL-17 concentration a potential biomarker for severity and response to treatment in IMHA.
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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) | 0.001 | 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) | 0.001 | 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 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".