P0501 AN ASSAY FOR INTRACELLULAR TH1/TH2 CYTOKINE MEASUREMENT IN WHOLE BLOOD FOR FOOD PROTEIN HYPERSENSITIVITY
Bibliographic record
Abstract
Introduction: The diagnosis of milk and other food protein allergies is often difficult to confirm in non type I (IgE negative) reactions. Reliance on results of food exclusion diets is often misleading and placebo controlled food allergen challenges are impractical. Aim: To establish a reproducible, practical and reliable in vitro cytokine assay using peripheral blood as a potential diagnostic tool for food allergies. Methods: Heparinized whole blood was diluted (1:1) in RPMI 1640 medium. For mitogen control wells, PMA and calcium ionophore were added. For allergen stimulation, either Betalactoglobulin (BetaLG), casein (CAS) or ovalbumin (OVA), each at 500mug/ml, was added to separate wells in duplicate for 24, 48 or 72 hours. Subsequently, a protein transport inhibitor (Golgi-Stop) was added for the final 4 hours of incubation. At the end of the stimulation culture period, erythrocytes were then lysed and the remaining cells were resuspended in PBS with 1% BSA. Cell surface staining was carried out using antibodies to CD4 and CD8. The cells were then suspended in a fixative (Cytofix/Cytoperm), and washed. Intracellular cytokine straining was then carried out using specific antibodies to IL-4, Il-5, Il-13, IFNgamma, and TNFalpha. In order to evaluate T cell activation, FastImmune CD69/CD3 was used in separate wells. Results were then analyzed by flow cytometry. Results: Optimal results were obtained at 24 hours, with increased markers of T cell activation (CD69+/CD3+) and cytokine staining in response to BetaLG (representative experiment shown in Table). Conclusion: Intracellular staining of T cells derived from whole blood with autologous serum after stimulation in vitro with food allergens for 24 hours is a reproducible and practical method to examine food hypersensitivity in vitro. The clinical reliability of this test in terms of predicting food challenge results is under study.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.008 |
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".