French Canadian Leigh Syndrome Due To Novel LRPPRC Variants C.1921?7A>G/C.2056A>G is Clinically Similar to Classical Leigh Syndrome
Notice bibliographique
Résumé
With interest we read the article by Piro et al. about a preterm born male with Leigh syndrome French Canadian type (LSFC) due to the novel compound heterozygote variants c.1921–7A>G and c.2056A>G in LRPPRC [1]. The patient manifested phenotypically with developmental delay, dysmorphism, generalised hypotonia, poor sucking, dysphagia, cortical atrophy, vermal atrophy, callosal atrophy, hippocampal unfolding, hearing impairment, and visual impairment [1]. We have the following comments and conerns. The authors claim that LSFC has a distinct phenotype at variance from that of Leigh syndrome due to mutations in other genes. However, the phenotype of their index patient typically matched with that of classical Leigh syndrome. The patient presented with facial dysmorphism [2], neonatal hypotonia [3], non-epileptic paroxysmal motor phenomena [4], absent sucking-swallowing-breathing coordination [5], diffuse cortical atrophy [6], hypoplasia of the cerebellar vermis, and unfolded hippocampus [7]. The authors observed motor paroxysms involving the limbs, without concomitant EEG discharges but no classification of the phenomenon or causal relation was provided [1]. Do the authors interpret the motor phenomenon as myocloni, as subcortical seizure, or as dystonia? We should know if there was involvement of the spinal cord as has been previously reported in Leigh syndrome [4]. Patients with Leigh syndrome frequently present with lactic acidosis [8]. Lactate may not only be elevated in the serum but also in the brain. Thus, normal serum lactate levels, as reported in the index patient, do not exclude elevated lactate in the brain and we should know if lactate was elevated in the central nervous system (CNS). CNS lactate can be determined by measuring lactate levels in the cerebro-spinal fluid (CSF) or measuring brain tissue lactate by MR spectroscopy (MRS). A shortcoming of the study is that the patient was not prospectively investigated for multisystem disease. Leigh syndrome frequently goes along with affection of organs other than the CNS, including the eyes, ears, endocrine system, heart, gastro-intestinal tract, muscle, or kidneys [9]. Since cardiac involvement is of prognostic relvance and can strongly determine the outcome of these patients, we should know the results of echocardiography and long-term ECG monitoring, particularly if there was cardiomoypathy or ventricular arrhythmias. A further shortcoming is that no biochemical investigations of any affected tissue for measuring the function of respiratory chain complexes had been carried out. Knowing the degree of respiratory chain dysfunction is crucial as it may strongly determine the course and outcome of patients with Leigh syndrome and additionally may influence therapeutic decisions. Leigh syndrome may manifest with optic atrophy [10]. We should know if increaed P100 latencies on visually-evoked potentials were attributed to optic atrophy or retro-chiasmatic demyelination of the optic tract. A therapeutic option not mentioned in the report is the application of the ketogenic diet to treat epilepsy or other manifestations. Missing are axial T2/FLAIR sequences to see if the patient had bilaterally symmetric lesions of the basal ganglia, midbrain, pons, medulla, or cerebellum, as typically reported in patients with Leigh syndrome. Overall, the interesting study has a number of shortcomings which should be addressed before drawing final conclusions. Further investigations are warrented to assess the severity of affection, course, therapeutic options, prognosis, and eventual outcome of the index patient.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».