Clinical spectrum in multiple families with primary <scp>COQ<sub>10</sub></scp> deficiency
Bibliographic record
Abstract
Abstract Coenzyme Q10/COQ10, an essential cofactor in the electron‐transport chain is involved in ATP production. Primary COQ10 deficiency is clinically and genetically a heterogeneous group of mitochondrial disorders caused by defects in the COQ10 synthesis pathway. Its mode of inheritance is autosomal recessive and it is characterized by metabolic abnormalities and multisystem involvement including neurological features. Mutations in 10 genes have been identified concerning this group of diseases, so far. Among those, variants of the COQ7 gene are very rare and confined to three patients with Asian ancestry. Here, we present the clinical features and results of whole‐exome sequencing (WES) of three Iranian unrelated families affected by primary COQ10 deficiency. Three homozygous variants in COQ2, COQ4, and COQ7 genes were identified. Candidate variants of the COQ2 and COQ4 genes were novel and associated with the cerebellar signs and multisystem involvement, whereas, the known variant in COQ7 was associated with a mild phenotype that was initially diagnosed as hereditary spastic paraplegia (HSP). This variant has already been reported in a Canadian girl with similar presentations that also originated from Iran suggesting both patients may share a common ancestor. Due to extensive heterogeneity in this group of disorders, and overlap with other mitochondrial/neurological disorders, WES may be helpful to distinguish primary coenzyme Q10 deficiency from other similar conditions. Given that some features of primary coenzyme Q10 deficiency may improve with exogenous COQ10, early diagnosis is very important.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".