Notice bibliographique
Résumé
Today, upwards of 10 million people—approximately 9 500 of whom reside in New Zealand—are living with Parkinson’s disease (PD). Yet, the means of diagnosing PD remain somewhat similar to those available to James Parkinson in 1817. Recently, however, there has been an increasing interest in the role of biomarkers in PD; these, in turn, are hoped to provide the necessary means by which PD can be diagnosed earlier, treated better and—ultimately—altogether prevented and/or cured. \n \nGiven the multifaceted nature of the aetiology underlying PD, a “multi-system” approach to biomarkers is more likely to yield fruitful results. Thus, the overarching aim of this study was to explore several biomarkers (within two realms—biological and behavioural) that may be used at different time-points as the disease progresses. \n \nIn the biological markers trials, biofluid samples (i.e., cerebrospinal fluid ‘CSF’ and plasma) were obtained from 11 patients with PD. Analyses of these samples did not detect any blackcurrant anthocyanins either before or after oral supplementation with blackcurrant concentrate for four weeks. Consumption of blackcurrant concentrate, however, significantly increased the CSF concentration of cyclic glycine-proline. This led to the hypothesis of an indirect mechanism underlying the putative benefit of berry-fruit consumption on the risk of developing PD—perhaps through modulating the peripheral resistance to insulinlike growth factor-1 otherwise observed in patients with PD. CSF concentrations of the aminoterminal fragment of C-type natriuretic peptide were significantly lower in PD patients than the reported range from a group of pre-operative orthopaedic patients. Finally, the obtained samples were utilised to characterise the profile of exosomes present in the CSF and plasma of PD patients. The three patients with the highest plasma exosome concentrations also had the lowest scores on the Montreal Cognitive Assessment. \n \nThe behavioural markers study investigated biomarkers in patients with established PD—a stage when cognition may become involved. The emphasis was to obtain an in-depth evaluation of novel eye movement-performance associations. In general, no remarkable differences in eye movement parameters were noted among the three study groups (n = 16 per group): PD with normal cognition (PDN), PD with mild cognitive impairment (PD-MCI) and matched controls (NC) in natural and laboratory-based neuropsychological tasks. This indicates a relatively preserved organisation of neuropsychological task performance as evident from eye movements among the participants. In addition, some insights into human behaviour on several tasks were gained. In the animal naming task, participants from all three groups tended to fixate on the animal’s head in order to name it. Participants also fixated on the distal ends of lines when attempting the Judgement of Line Orientation task. PD-MCI participants were found to make significantly more vertical saccades when searching the Where’s Wally?™ Maze task in comparison with NC and PD-N participants. On the Symbol Digit Modalities Test, PD-MCI participants scored significantly lower than NC and PDN participants. Finally, task organisation of the tea-making task was mostly consistent among the study participants; PD participants (of both groups) executed the task significantly slower than NC participants. \n \nGiven the relatively small sample sizes, an exploratory approach was generally taken. To gain confidence in the results of individual findings, further research ought to be carried out in order to exclude the possibility of sampling variability accounting for the reported observations.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 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 tête enseignante, 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 ».