Parkinson’s Disease Pathology is Directly Correlated to SIRT3 in Human Subjects and Animal Models: Implications for AAV.SIRT3-myc as a Disease-Modifying Therapy
Notice bibliographique
Résumé
Abstract Degeneration of the dopaminergic nigro-striatal pathway and presence of Lewy bodies are pathological hallmarks of Parkinson’s disease (PD). Postmortem studies in human tissue have also demonstrated that a decline in mitochondrial number and function is also central to PD pathology. Sirtuin 3 (SIRT3) is a mitochondrial protein deacetylase which has been linked with longevity and cytoprotective effects. SIRT3 serves as a metabolic sensor and regulates mitochondrial homeostasis and oxidative stress, which likely stabilises telomere integrity, delaying senescence. Previously, we have shown that over-expression of SIRT3 rescues motor function and prevents degeneration of dopaminergic neurons in a virally over-expressing mutant (A53T)-α-synuclein model of PD. In the present study, we show that in the substantia nigra pars compacta (SNc) of human subjects, SIRT3 levels are negatively correlated with age (p<0.05, R=0.6539). In the hippocampus, there was no correlation between SIRT3 levels and age. In human subjects with PD, SIRT3 was reduced by 56.8±15.5% and 34.0±5.6% in the SNc and hippocampus respectively regardless of age. Given that age is the primary risk factor for PD, this finding suggests that reduced SIRT3 may be a causative factor contributing to PD pathology. Next in human subjects with PD, we measured whether there was a correlation between the amount of aggregated α-synuclein and SIRT3 levels by measuring immunofluorescence of phosphorylated α-synuclein (p-syn), which is a marker for Lewy bodies. Interestingly, in the hippocampus, but not SNc, there was a positive correlation between SIRT3 and p-syn levels, despite p-syn being reduced compared to control. Next using an α-synuclein seeding rat model of PD, we assessed the disease-modifying effects of viral-mediated SIRT3 infusion. Six months following infusion of α-synuclein pre-formed fibrils (PFF) into the SNc, there was 38.8±4.5% loss of TH-positive neurons, impaired striatal dopamine metabolism and pathological α-synuclein throughout the brain. Phosphorylated-α-synuclein immunoreactivity was present in the SNc, olfactory tubercle, striatum, amygdala, hippocampus and motor cortex. In PD subjects, synuclein positive aggregates have also been reported in these brain regions. In PFF rats, infusion of rAAV1.SIRT3-myc in the SNc reduced abundance of α-synuclein inclusions in the SNc by 30.1±18.5% which was not seen when deacetylation deficient SIRT3 H248Y was transduced. This demonstrates the importance of SIRT3deacetylation in reducing α-synuclein aggregation. However, while SIRT3 transduction reduced aggregation in the SNc, it had no significant effect on phosphorylated-α-synuclein levels in other brain regions. These studies confirm that SIRT3 is directly correlated with senescence and aging in humans. We also provide evidence that reduced SIRT3 contributes to the pathology of clinical PD. Finally, by showing that over-expression of SIRT3 prevents α-synuclein aggregation through de-acetylation-dependent mechanisms, we further validate AAV1.SIRT3-myc as a potential disease-modifying therapy for PD.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».