Prevalence of Autoantibodies in Patients with Hereditary Alpha-Tryptasemia
Bibliographic record
Abstract
INTRODUCTION: Hereditary alpha-tryptasemia (HαT) is associated with postural orthostatic tachycardia syndrome (POTS), hypermobile Ehlers-Danlos syndrome (hEDS), and mast cell activation syndrome (MCAS). While POTS, hEDS, and MCAS have all demonstrated increased prevalence of autoimmunity, this has not been investigated in HαT populations. Our objective was to describe the prevalence of autoantibodies in individuals with HαT. METHODS: We retrospectively studied a cohort of patients with positive genotyping for HαT at a tertiary-care allergy clinic. Demographic data including previous autoimmune history and autoantibody serologies were extracted on chart review. A literature search was conducted to determine the prevalence of specific autoimmune and autoantibody prevalences in the general population. We compared the proportions of autoantibody positivity and established autoimmune diseases in our cohort of HαT individuals against those in general populations. RESULTS: We identified 101 patients with HαT. Median age was 43 years (range 15-75), and most were female (87/101; 86.1%). Prevalence of self-reported drug hypersensitivity was 52/101 (52.5%) patients. The proportion of individuals with HαT with positive tTG antibody (3/61, 4.9%) was significantly higher than that reported in the general population (133/16,667, 0.8%) (p < 0.001). The prevalence of systemic lupus erythematosus (SLE) (1/101, 1%) and celiac disease (5/101, 5%) in our cohort were found to be significantly higher than the prevalence in the general population (194/96,996, 0.2% [p = 0.035] and 26/2,845, 0.9% [p < 0.001], respectively). CONCLUSION: Patients with HαT have increased prevalence of celiac disease, SLE, and positive anti-tTG serology, as well as self-reported drug hypersensitivity, relative to general populations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".