Pramipexole enhances levodopa's therapeutic efficacy in Parkinson's disease: Role of glutaredoxin-1 (GRX1), peroxiredoxin3 (PRX3), thioredoxin (TRX), 8-hydroxy-2 -deoxyguanosine (8-OHDG), and neurosteroid dehydroepiandrosterone sulfate (DHEA-S)
Notice bibliographique
Résumé
Background: Parkinson's disease (PD) is characterised by progressive neurodegeneration and dopamine deficiency. Levodopa remains a cornerstone treatment, but its longterm use is associated with motor complications and reduced efficacy. This study investigates the clinical benefits of combining pramipexole with Levodopa in PD patients, focusing on improvements in oxidative stress, cognitive function, and motor control. Additionally, the study explores the role of novel biomarkers, including glutaredoxin-1 (Grx1), peroxiredoxin-3 (Prx3), thioredoxin (Trx), 8-hydroxy-2'-deoxyguanosine (8-OHdG), and neurosteroid dehydroepiandrosterone sulfate (DHEA-S), in evaluating oxidative stress and neuroprotection. Methods: A total of 92 PD patients were enrolled and assigned to either a levodopa monotherapy group (n=46) or a pramipexole-levodopa combination group (n=46). Clinical efficacy was assessed using the Unified Parkinson's Disease Rating Scale (UPDRS). Cognitive function was evaluated using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). Oxidative stress markers (SOD, GSH, GSH-PX, CAT, along with Grx1, Prx3, Trx, and 8-OHdG) were measured in serum samples. Additionally, DHEA-S was analysed as a neurosteroid biomarker to assess its potential role in cognitive and motor function improvements. Quality of life (QOL) was evaluated using the PDQ-39 questionnaire. Results: The combination therapy group exhibited a significantly higher effective rate (93.48% ) compared to the levodopa group (78.26% ) (P< 0.05). UPDRS scores were significantly lower in the combination group at 6- and 12-week post-treatment (P < 0 .0 5 ). The combination group also showed a significantly lower incidence of adverse drug reactions (6.52% vs. 23.91% , P< 0.05). After 3 months, the combination group displayed significantly higher levels of SOD, GSH, GSH-PX, CAT, Grx1, Prx3, and Trx, while 8-OHdG levels were significantly reduced, indicating enhanced neuroprotection and reduced oxidative stress. DHEA-S levels were also elevated, correlating with improved MMSE and M oCA scores (P < 0 .0 5 ). The observed DHEA-S elevation in the combination group may be due to pramipexole's dopaminergic modulation of hypothalamic-pituitary-adrenal axis activity, potentially enhancing adrenal steroidogenesis. Alternatively, improvements in motor and cognitive function may reduce chronic stress, indirectly elevating DHEA-S. It suggests a neurosteroid-mediated cognitive benefit. QOL was significantly better in the combination group after 3 months of intervention (P< 0.05). Conclusions: Pramipexole combined with Levodopa significantly improves clinical outcomes, reduces adverse effects, enhances cognitive function, and alleviates oxidative stress in PD patients. The inclusion of novel biomarkers such as Grx1, Prx3, Trx, 8-OHdG, and DHEA-S provides deeper insight into the molecular mechanisms underlying these therapeutic effects. This combination therapy represents a valuable strategy for improving PD management and warrants wider clinical application.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».