Antibodies to the Wheat Storage Globulin Glo‐3A in Children Before and at Diagnosis of Celiac Disease
Bibliographic record
Abstract
OBJECTIVE: Celiac disease (CD) is an autoimmune disease triggered by exposure to gluten-containing foods. IgA autoantibodies to tissue transglutaminase (TTG) are elevated in CD, but little is known about the gastrointestinal state before the appearance of TTG. Antibodies to wheat storage globulin Glo-3A have been studied in type 1 diabetes, and may be a marker of altered mucosal barrier and/or immune function. In the present study, we investigated antibody responses to Glo-3A in CD. PATIENTS AND METHODS: In the Diabetes Autoimmunity Study in the Young, children were studied prospectively from birth for the appearance of TTG and CD. Fifty cases of CD were frequency matched with 50 controls on age (of TTG seroconversion in the case), sex, ethnicity, presence of a first-degree relative with type 1 diabetes mellitus, and human leukocyte antigen -DR3 genotype. In cases and controls, IgG antibodies to Glo-3A were analyzed in a blinded manner in the sample collected at the time of seroconversion to TTG positivity (or the matched sample in controls) and in all of the previous samples since birth (mean 4.5 samples). The association between Glo-3A antibody levels and CD case status was explored using t tests at the TTG-positive visit and when Glo-3A levels were highest, and mixed modeling to describe Glo-3A over time. RESULTS: At the time of first elevated TTG (mean 4.9 years), patients with CD had higher Glo-3A antibody levels than controls (13.3 ± 17.2 vs 7.6 ± 11.7, P = 0.005). In both cases and controls, Glo-3A antibodies appear to peak at a mean age of 2.9 years, before mean age of initial TTG seroconversion. The peak Glo-3A antibody levels were higher in cases than controls (25.5 ± 21.8 vs 14.9 ± 18.3 P = 0.0007). Using mixed modeling to account for multiple visits per person, cases had higher levels of Glo-3A antibodies than controls at all ages from birth to TTG seroconversion (β = 0.53, P = 0.002). CONCLUSIONS: Compared with controls, CD cases have higher Glo-3A antibody responses in the beginning years, before initial detection of TTG.
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".