Coronin 1A deficiency identified by newborn screening for severe combined immunodeficiency
Bibliographic record
Abstract
Introduction: Coronin 1A belongs to a large family of actin regulatory proteins with a role in T cell homeostasis. A role for coronin 1A was also observed in macrophages, NK, and neuronal cells. To date, coronin 1A deficiency has been described in relatively few patients with combined immunodeficiency. Aim: We studied here the molecular and genetic basis of immunodeficiency detected by newborn screening for severe combined immunodeficiency. Methods: Patient data was collected in accordance with REB approved protocols. Immune work up, including T and B cell proliferative responses and serum concentrations of immunoglobulins, was performed. Next generation sequencing techniques and cellular analyses were also utilized. Results: The patient presented with T cell lymphopenia, reduction in CD4+CD45Ra+ cells and hypogammaglobulinemia. Uniquely, she also had persistent severe neutropenia. Whole exome sequencing and Sanger confirmation revealed a novel homozygous mutation in coronin 1A. Conclusion: Coronin 1A deficiency can be detected after birth by T cell receptor excision circle-based newborn screening. Statement of novelty: We report here a patient with a novel mutation in coronin 1A, identified during newborn screening with low T cell receptor excision circle levels and neutropenia, which is a unique finding in this condition.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".