Mutations in tetratricopeptide repeat domain 7A (<i>TTC7A</i>) are associated with combined immunodeficiency with dendriform lung ossification but no intestinal atresia
Bibliographic record
Abstract
Introduction: Genetic aberrations associated with combined immunodeficiency have been increasingly identified in the past two decades. Yet, there are still 30% of these patients with unidentified genetic cause. Methods: We employed whole genome sequencing to identify the genetic defect leading to combined immunodeficiency. Thymus, gut, and lung tissues were studied using hematoxylin and eosin staining as well as immunohistochemistry. Results: We identified 2 deleterious mutations in the TTC7A gene. Surprisingly, the patient did not have intestinal atresia but suffered repeated infections as well fatal pneumonitis. Dendriform lung ossification developed, which was unique to this case. The patient had typical presentation of combined immunodeficiency including profound lymphopenia, markedly reduced in-vitro response to mitogens, as well as low TRECS. Serum immunoglobulins were also markedly reduced. Conclusion: Mutations in the TTC7A gene can cause combined immunodeficiency with no intestinal atresia and predispose to lung ossification. Statement of novelty: TTC7A mutations can cause profound immunodeficiency without multiple intestinal atresia. We report here for the first time that this defect is associated with dendriform lung ossification.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".