Understanding the Spectrum of Mild Clinical Outcomes and Novel Findings in Arterial Tortuosity Syndrome Among Qatari Patients: Implications of SLC2A10 Mutation
Bibliographic record
Abstract
Background/Objectives: Arterial Tortuosity Syndrome (ATS) is a rare, autosomal recessive connective tissue disorder characterized by arterial twists, abnormal bulges, constriction, and tears. Patients have distinctive features and disease manifestations. The syndrome’s full clinical spectrum and course remain incompletely understood. Methods: We sought to review the medical records of Qatari patients who had ATS. The cohort study included 21 patients who were genetically confirmed by mutations in the SLC2A10 gene. Results: The study revealed that the NM_030777.4(SLC2A10):c.243C>G (p.Ser81Arg) mutation in SLC2A10 leads to mild outcomes of no mortality and less morbidity. Novel features such as a flat philtrum, bulbous noses, bilateral nasolacrimal duct obstruction, allergic conjunctivitis, latent nystagmus, café au lait spots, eczema, dermatitis, allergic reactions, bilateral temporomandibular joint cysts, bilateral syndactyly (toes), parapelvic cysts, kidney malrotation, vesicoureteral reflux, and nephrolithiasis were identified in our cohort. Furthermore, rare features previously documented in a limited number of patients, including leg length discrepancy, epilepsy, and migraine headaches, were also observed in our cohort. Conclusions: Our data contributes new insights into the life course of ATS in Qatari patients. These findings underscore the importance of effective education strategies through repeated counseling aimed at preventing cousin marriage and the syndrome within the cohort.
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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".