Meningoencephalitis in a novel mutation in MNGIE (mitochondrial neurogastrointestinal encephalomyopathy) ending a familial diagnostic odyssey: A case series report
Bibliographic record
Abstract
MNGIE (Mitochondrial Neurogastrointestinal Encephalomyopathy) is an ultra-rare autosomal recessive disorder that leads to mutations in the nuclear genes encoding thymidine phosphorylase. Symptoms include gastrointestinal dysmotility, cachexia, ptosis, external ophthalmoplegia, sensorimotor neuropathy and asymptomatic leukoencephalopathy. We describe the first case of MNGIE with meningoencephalitis that ultimately led to a familial diagnosis ending a diagnostic odyssey. We retrospectively reviewed the electronic medical records and sent whole exome sequencing for the index case and his family members. We report the variant c.877T>C p.(Cys293Arg) found in TYMP gene in all affected siblings showed typical clinical manifestations related to MNGIE. To the best of our knowledge, this is not described in the literature nor in the population databases dbSNP (Single Nucleotide Polymorphism Database) and gnomAD (Genome Aggregation Database). Additionally, it is located in a highly conserved residue and the bioinformatic analysis suggests it is most probably deleterious. Moreover, we estimated 550 number of cases of MNGIE (including 5 cases in this study) after performing an extensive search in the literature across 3 databases from 1983-2023. In addition, we identified 44 patients with MNGIE-like phenotype in genes other than TYMP. MNGIE-like phenotype affects POLG1, RRM2B, LIG3, RRM1, MTTV1, and MT-RNR1 genes.
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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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".