Risk stratification and targeted neuroprotection in Parkinson disease utilising the glucocerebrosidase pathway
Notice bibliographique
Résumé
OBJECTIVES: Glucocerebrosidase mutations represent genetically the most significant risk factor for Parkinson disease, however their penetrance is incomplete and variable such that only a minority of glucocerebrosidase mutation carriers will develop Parkinson disease. In this thesis I aimed to investigate the basis for this incomplete penetrance, to identify indices which may be used to predict Parkinson disease conversion amongst glucocerebrosidase mutation carriers and to test a putative neuroprotective drug designed to modify the glucocerebrosidase pathway. METHODS: In chapter 2 we used meta and joint analyses to calculate the odds ratio of developing Parkinson disease with individual glucocerebrosidase mutations. In chapter 3 we prospectively assessed a cohort of glucocerebrosidase mutation carriers without Parkinson disease for prodromal signs of Parkinsonism. In chapter 4 we sought to extend the scope, scale and sustainability of this study by producing a prototype study to assess these patients remotely through the internet. In chapter 5 we investigated whether novel imaging (PET using the PK-1195 and DAT ligands), serum (alpha synuclein, tau and inflammatory markers) and urine (hypothesis generating screen) could be used to predict PD conversion. In chapter 6 we used single cell calcium imaging in a primary neuronal mouse model carrying the N370S glucocerebrosidase mutation to investigate whether deranged calcium homeostasis might be the basis for the selective vulnerability of dopaminergic neurons in glucocerebrosidase mutation carrying cells. In chapters 7 and 8 we present optimisation and preliminary data from AiM PD, a phase II, open label, non placebo controlled trial of ambroxol, a small molecular chaperone of the glucocerebrosidase enzyme. RESULTS: Chapter 2: We derived quantifiable estimates of Parkinson disease risk for 84GG, E326K N370S, L444P, D409H, RecNcil as well as important data relating to the ethnic distribution of these mutations. Chapter 3: The University of Pennslyvannia smell identification test and Montreal cognitive assessment scores of glucocerebrosidase mutation carriers were worse than those of controls. There is a clustering effect amongst glucocerebrosidase mutation carriers whereby poor scores in these assessments and the Beck’s depression index seemed to be present together in a subset of participants. Chapter 4: We show the rapsodi portal is able, using validated assessments, to detect Parkinson disease features. Preliminary data shows cognitive deficits amongst Glucocerebrosidase mutations carriers exist compared to controls. Chapter 5: PK11195 signal is increased in the substantia nigra of glucocerebrosidase mutation carriers compared to controls and this signal increase correlates with olfactory loss. Serum alpha synuclein levels in glucocerebrosidase carriers correlate with the number of severe (neuronopathic) mutations and a risk score derived from prospective assessment of prodromal Parkinson disease features. The hypothesis generating urine proteomics screen identified a number of potential markers of Parkinson disease conversion including elements of the IgG kappa light chain. Chapter 6: We found no evidence of deranged calcium homeostasis Chapter 7: The glucocerebrosidase enzyme activity assay has been optimised to be reproducibly used in cerebrospinal fluid samples in our hands. The optimal time to carry out the assay to prevent degradation of activity following freezing is within 2 weeks of collection. In vitro addition of ambroxol to control CSF at physiologically relevant concentrations caused a 50% reduction in activity levels, due presumably to anatagonistic binding to the active site of the enzyme. Chapter 8: Preliminary results show that ambroxol delivers a statistically significant increase in leucocyte glucocerebrosidase activity amongst glucocerebrosidase mutation carriers with Parkinson disease. These patients seem to have worse features of non motor Parkinson disease symptoms than idiopathic Parkinson disease cases. CONCLUSIONS: Our results collectively suggest it may be feasible to stratify risk of Parkinson disease conversion amongst glucocerebrosidase mutation carriers on the basis of genetic, clinical, imaging and biochemical indices. Moreover they suggest that ambroxol has potential as a neuroprotective agent in Parkinson disease.
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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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».