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Enregistrement W4403684921 · doi:10.1002/mdc3.14243

Oral Levodopa Therapy, Vitamin B6 and Peripheral Neuropathy: A Cross‐Sectional Observational Study

2024· letter· en· W4403684921 sur OpenAlexafffundabout
Catherine Déry, Geneviève Labrecque, Vicky Caron, David Simonyan, Mathieu Blais, Manon Bouchard, Nicolas Dupré

Notice bibliographique

RevueMovement Disorders Clinical Practice · 2024
Typeletter
Langueen
DomaineMedicine
ThématiqueBotulinum Toxin and Related Neurological Disorders
Établissements canadiensCégep de LévisUniversité de SherbrookeUniversité Laval
Organismes subventionnairesHealth CanadaParkinson CanadaFondation Brain Canada
Mots-clésObservational studyMedicineLevodopaPeripheral neuropathyVitamin b6PeripheralCross-sectional studyVitaminPediatricsInternal medicineParkinson's diseasePathologyEndocrinologyDisease

Résumé

récupéré en direct d'OpenAlex

Peripheral polyneuropathy (PN) could affect 30–75% of Parkinson's disease (PD) patients,1 compared to 7–9% of older adults.2 Development of PN in PD is likely multifactorial and not fully understood, but may be associated with levodopa, particularly at higher doses.1, 3 Levodopa could deplete vitamin B6, B12, and folic acid, and increase homocysteine levels (Fig. S1), potentially leading to PN.4 A cross-sectional observational study was conducted between May and September 2023, approved by the CHU de Québec—Université Laval research ethics committee. Fifty levodopa-responsive parkinsonian participants with oral levodopa daily doses (LDD) ≥600 mg and disease duration ≥3 years were included. Participants with diabetes, alcohol misuse, intestinal malabsorption, PN diagnosis, or vitamin B6 supplement use were excluded. Participants underwent clinical evaluations in the ON state using the MDS-UPDRS and modified Toronto Clinical Neuropathy Score (mTCNS)5 (Tables S1 and S4, Fig. S2). Nerve conduction studies (NCS) of sensory sural and radial nerves and motor tibial and peroneal nerves from the non-dominant side were analyzed. We obtained whole blood vitamin B6 (PLP), serum vitamin B12, serum folic acid, and plasma total homocysteine (Table S1, Fig. S3). Statistical analyses included Wilcoxon-Mann–Whitney tests for continuous data comparisons and Fisher exact tests for categorical data. The Box-Cox transformation method was used for variables B6 and mTCNS for linear regressions. Correlations were estimated between predictors and electrophysiological markers of PN. Seven participants (14%) had B6 deficiency. One had low B12. PN prevalence ranged from 26.3–78%, depending on diagnostic criteria (Table S1). Using mTCNS cutoff ≥3, 78% of all participants and 73.7% of those with NCS data had PN. Univariate analysis showed LDD significantly predicted vitamin B6 levels (inverse-transformed, β = 0.0069, P = 0.0440) (Fig. 1A and Table S2). Multivariate analysis, adjusting for age, showed LDD was not significant, but with trend towards significance (β = 0.0065, P = 0.0592) (Table S3). Higher LDD, iCOMT daily dose, and lower B6 levels (inverse-transformed) significantly predicted worse mTCNS scores (P-values: 0.0018, 0.0142, and 0.0467, respectively). Multivariate analysis showed only LDD significantly predicted mTCNS (β = 0.0010, P = 0.0068) (Fig. 1B and Tables S2, S3). Sum of nerve conduction velocities positively correlated with B6 (r = 0.5103, P = 0.0256) but not with LDD, iCOMT, age, UPDRS III, disease duration, folic acid, B12, or homocysteine (Fig. 1C and Table S2). Sum of amplitudes positively correlated with B6 (r = 0.4795, P = 0.0378) and negatively with LDD (r = −0.6079, P = 0.0058) and UPDRS III (r = −0.5341, P = 0.0185) (Fig. 1D and Table S2). In sum, we observed relationships between higher LDD and increased PN severity, both of which were linked to lower B6 levels. Notably, B6 levels correlated with both clinical and electrophysiological markers of PN. However, Vitamin B12, folic acid, and homocysteine showed no association with PN. The design and small sample size limit causation inference and statistical power. Further research should consider large longitudinal studies to investigate B6 supplementation as a potential preventive or therapeutic measure for PN in levodopa-treated patients. (1) Research Project: A. Conception, B. Organization, C. Execution; (2) Statistical Analysis: A. Design, B. Execution, C. Review and Critique; (3) Manuscript: A. Writing of the First Draft, B. Review and Critique. C.D.: 1A, 1B, 1C, 2A, 2B, 3A C.B.: 1C, 3C G.L.: 1B, 3C V.C.: 1C, 3C D.S.: 2A, 2B, 3B M.B.: 1A, 1B, 2C, 3B M.B.: 1A, 1B, 2A, 3A N.D.: 1A, 1B, 2C, 3B The authors would like to thank all the study participants and their families, Clotilde Degroot and Sarah Bogard from the Réseau Parkinson Québec/Québec Parkinson Network (RPQ/QPN) for their help with ethics and logistics, Sacha Hobeila and Alexandra Castillo for their help with laboratory logistics and coordination and finally, Rémi Michaud for performing all nerve conduction studies. We acknowledge the contribution of the Canadian Open Parkinson Network (C-OPN) (https://copn-rpco.ca/). C-OPN has been made possible by Brain Canada through the Canada Brain Research Fund, with financial support of Health Canada and Parkinson Canada. Ethical Compliance Statement: The present study was approved by the McGill University Health Center—neupsy- ethics committee and by the CHU de Québec—Université Laval research ethics committee, approval number MP-37-2020-6170. Informed consent was obtained from all participants prior to enrollment. We confirmed that we have read the Journal's position on issues involved in ethical publication and affirm that this work is consistent with those guidelines. Funding Sources and Conflicts of Interest: CD has received scholarships (master's program) from the Canadian Institutes of Health Research and the Fonds de Recherche du Québec—Santé. CB has received financial compensation while working on ND's team at the CHU de Québec-Université Laval research center (internship). GL: no specific funding was received for this work. VC has received salary compensation from the Quebec Parkinson Network. DS has received salary compensation from the Quebec Parkinson Network. MB has received salary compensation from the Quebec Parkinson Network. MB: no specific funding was received for this work. ND: no specific funding was received for this work. Financial Disclosures for Previous 12 Months: CD has received financial compensation while working on ND's team at the CHU de Québec-Université Laval research center (employment). CD has also received financial compensation while working for the Faculté des Sciences Infirmières at Université Laval (employment). CB has received financial compensation while working on ND's team at the CHU de Québec-Université Laval research center (employment). GL has received financial compensation while working at the Neuro-Lévis clinic (employment). GL has received financial compensation while working for the Faculté des Sciences Infirmières at Université Laval (employment). VC has received financial compensation while working on ND's team at the CHU de Québec-Université Laval research center (employment). DS has received financial compensation while working at the CHU de Québec-Université Laval research center (employment). MB has received financial compensation while working on ND's team at the CHU de Québec-Université Laval research center (employment). MB has received financial compensation from Abbvie, Es-Therapeutics, Biohaven, Pfizer. ND has received a grant from the Fondation du CHU de Québec for a project entitled: Étude rétrospective sur le recours à l'aide médicale à mourir en sclérose latérale amyotrophique (SLA/AMM) au CHU de Québec-Université Laval and a grant from Target ALS for a project entitled: Digital measurement of gait as a potential pharmacodynamic/response biomarker for ALSFTSD. He also received a grant from the CIHR for a project entitled: Unifying Molecular Omics, Multi-Modal Neuroimaging and Artificial Intelligence for Biologically defined Patient Stratification in Amyotrophic Lateral Sclerosis and a project entitled: Depicting disease heterogeneity in neurofibromatosis type 1 and the role of microenvironment in NF1-associated skin tumor formation through personalized tissue engineered 3D models. ND received another grant from the FRQS for the project: Quebec Parkinson's network (QPN). ND also received a grant from Alliance Santé Québec for the project Development of a sustainable health approach to research on Parkinson's and related disorders. ND received a grant from ALS Canda for the project: Crosstalk between immune response and metabolic signaling: targeting leptin/AMPK axis to restore metabolic homeostasis in ALS. ND received a grant from Brain Canada for the project Canadian Open Parkinson Network (C-OPN). ND has a contract with The Royal Institution for the Advancement of Learning/McGill University for the project: une étude de cohorte longitudinale multi-sites sur la maladie de Parkinson prodromique et Clinique, and the project LGMD/Pombe Registry. ND served as a consultant (reviewer) for Brain Canada. ND is part of a Scientific advisory board for the Association de la neurofibromatose du Québec and is on the Board of Director of the ARSACS Foundation. Finally, ND is employed as a Full Professor at Université Laval and as a Neurologist at the CHU de Québec—Université Laval. The data that support the findings of this study are available from the corresponding author upon reasonable request. Table S1. Summary of descriptive data from the 50 participants. Table S2. Univariate analysis. Table S3. Multivariate analysis: multiple linear regression model of vitamin B6 and mTCNS score, final models. Table S4. Comparison of patients with and without NCS data. Figure S1. Levodopa metabolic pathway. Figure S2. Modified Toronto Clinical Neuropathy Score recording tool used for the study. Figure S3. Boxplot representation of whole blood B6 in the 50 participants, displaying median and quartiles. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,124
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,008
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,166
Tête enseignante GPT0,431
Écart entre enseignants0,264 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2024
Routes d'admission3
Résumé présentoui

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