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Enregistrement W2598175140 · doi:10.1093/brain/awx077

Reply: Heterozygous PINK1 p.G411S in rapid eye movement sleep behaviour disorder

2017· letter· en· W2598175140 sur OpenAlexaff
Andreas Puschmann, Fabienne C. Fiesel, Thomas R. Caulfield, Roman Hudec, Maya Ando, Dominika Truban, Xu Hou, Kotaro Ogaki, Michael G. Heckman, Elle D. James, Maria Swanberg, Itzia Jiménez-Ferrer, Oskar Hansson, Grzegorz Opala, Joanna Siuda, Magdalena Boczarska‐Jedynak, Andrzej Friedman, Dariusz Koziorowski, Monika Rudzińska, Jan Aasly, Timothy Lynch, George D. Mellick, Megha Mohan, Peter A. Silburn, Yanosh Sanotsky, Carles Vilariño‐Güell, Matthew J. Farrer, Li Chen, Valina L. Dawson, Ted M. Dawson, Zbigniew K. Wszołek, Owen A. Ross, Wolfdieter Springer

Notice bibliographique

RevueBrain · 2017
Typeletter
Langueen
DomaineMedicine
ThématiqueParkinson's Disease Mechanisms and Treatments
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesNational Institute of Neurological Disorders and Stroke
Mots-clésOdds ratioPINK1Rapid eye movement sleepREM sleep behavior disorderParkinson's diseaseCohortInternal medicinePsychologyDiseaseMedicineEye movementAudiologyNeuroscienceParkin

Résumé

récupéré en direct d'OpenAlex

Sir, We read with great interest that Gan-Or et al. (2017) have observed an association (albeit not reaching statistical significance) of the heterozygous PINK1 p.G411S mutation and rapid eye movement sleep behaviour disorder [RBD; effect size odds ratio (OR) of 2.49] in their multicentre cohort of 350 RBD patients and 869 controls subjects (Gan-Or et al., 2017). Given the strong correlation of RBD with Parkinson’s disease, we interpret this as further support for our observation on 9142 individuals showing that heterozygous PINK1 p.G411S mutation confers a marked increase in Parkinson’s disease risk odds ratio = 2.89, P = 0.027 (Puschmann et al., 2017). We have not systematically enquired about RBD symptoms in all case-control series that were included in our multicentre study. RBD has previously been shown to correlate well with synucleinopathies (Schenck et al., 2013; Iranzo et al., 2014). We thus compiled information on RBD and other signs and symptoms that might particularly suggest synucleinopathy in a patient with Parkinson’s disease. Such data were available on 20 of 21 probands with PINK1 p.G411S mutation from our case series and the Ukrainian and Australian families we reported. Five of 20 probands had RBD, 10 had hallucinations, seven had signs of dysautonomia (marked orthostatism, excessive sweating, constipation), seven had cognitive dysfunction, and one patient had α-synuclein pathology at neuropathological examination (Hoffman-Zacharska et al., 2013). In total, 16 of the 20 patients showed at least one of these features, possibly indicating that heterozygous carriers of PINK1 p.G411S are more likely to develop symptoms suggesting synucleinopathy. As Gan-Or et al. rightly note, for a background lifetime disease risk of Parkinson’s disease in the range of 1–3%, and an association with an OR < 5, the majority of heterozygous mutation carriers will not develop Parkinson’s disease during their lives. This is in line with the lack of cosegregation of the mutation with Parkinson’s disease in several of our families reported and can make replication difficult for this type of rare variant. Reduced penetrance has also been shown for the GBA (Ran et al., 2016) and LRRK2 gene mutations, including LRRK2 p.G2019S (Marder et al., 2015), although this mutation is clearly considered ‘pathogenic’. Indeed, this scenario may be even more true for PINK1 and parkin mutants whose enzymatic functions are activated by mitochondrial damage, which is dependent on stress levels that may not only vary from individual to individual, but also from cell to cell. We agree that the contribution of PINK1 p.G411S on overall heritability of Parkinson’s disease will be quite modest, as this particular mutation is rare. What we do not know at present is whether there are additional mutations in PINK1 and/or other recessive Parkinson’s disease genes that similarly increase Parkinson’s disease risk in heterozygous form. It is conceivable that a large number of such variants taken together may contribute more significantly to the missing heritability for Parkinson’s disease. We expect that the widespread use of next-generation sequencing will create possibilities to explore such questions in the near future. In agreement with Gan-Or et al., it is also clear from our work that specific variants in these recessive Parkinson’s disease genes likely have different mechanistic effects on pathway function and disease risk, and elucidating these (as we have for p.G411S) will likely guide therapeutic intervention strategies. For instance, in the case of parkin, various missense mutations are known to cause distinct molecular and cellular phenotypes, depending on the type and location of the amino acid exchange (Fiesel et al., 2015). Thus, in addition to genetic studies, structural and functional assessment will be crucial to experimentally determine pathogenicity, especially for rare variants. The influence of mutations in early-onset recessive genes, such as PRKN/parkin and PINK1, on more typical late-onset Lewy body Parkinson’s disease remains equivocal. Carriers of homozygous PINK1 mutations typically develop Parkinson’s disease with an onset very early in life and with features that are clinically quite distinct from late-onset Parkinson’s disease. Not much is known about the neuropathology of these patients. To our knowledge, only three patients with homozygous or compound heterozygous PINK1 mutations have been examined post-mortem, and these had markedly variable clinical picture and pathology, including cell loss in the substantia nigra with or without α-synuclein deposition (Takanashi et al., 2016). The association of PINK1 p.G411S with RBD indeed adds another interesting aspect. While some patients with clinical Parkinson’s disease diagnosis may not have α-synuclein pathology, 81–91% of individuals with RBD have been shown to develop a neurodegenerative disease, with the vast majority a synucleinopathy (Schenck et al., 2013; Iranzo et al., 2014); these results may link PINK1-related disease with synuclein pathology. Furthermore, our study showed how p.G411S-mutated PINK1 interferes with the PINK1/parkin-mediated mitochondrial quality control pathway. Thus, the association of p.G411S with both Parkinson’s disease and RBD may provide additional evidence for the role of the mitochondria in the pathogenesis of synucleinopathies (Truban et al., 2016).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,020
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Étude de cas · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,025
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,020
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,002
Communication savante0,0020,003
Science ouverte0,0020,001
Intégrité de la recherche0,0250,031
Charge utile insuffisante (le modèle a refusé de juger)0,0040,005

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.

Tête enseignante Opus0,018
Tête enseignante GPT0,281
Écart entre enseignants0,263 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeÉtude de cas
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2017
Routes d'admission1
Résumé présentoui

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