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Record W4413795392 · doi:10.5937/jomb0-59700

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)

2025· article· en· W4413795392 on OpenAlexaboutno aff
Yu Shu, Jinjun Qian

Bibliographic record

VenueJournal of Medical Biochemistry · 2025
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNeuroprotectionLevodopaOxidative stressPramipexoleNeuroactive steroidPharmacologyInternal medicineDonepezilParkinson's diseaseEndocrinologyDisease

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.270
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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