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Enregistrement W3016016533 · doi:10.1182/blood.v130.suppl_1.943.943

Systemic Biomarkers Show Elevated Oxidative Stress and Chronic Inflammation in Two Disorders of Neurodegeneration with Brain Iron Accumulation (NBIA)

2017· article· en· W3016016533 sur OpenAlexaff
Michael Minkley, Nancy Sweeters, Shiva Kasravi, J L Ferguson, Annie Higa, Angela Jackson, Derek Smith, Christoph H. Borchers, Raad Nashmi, Patrick MacLeod, Lynne Neumayr, Elliott Vichinsky, Patrick B. Walter

Notice bibliographique

RevueBlood · 2017
Typearticle
Langueen
DomaineNeuroscience
ThématiqueNeurological diseases and metabolism
Établissements canadiensUniversity of Victoria
Organismes subventionnairesnon disponible
Mots-clésNeurodegenerationOxidative stressInflammationSystemic inflammationMedicineDiseaseInternal medicinePathology

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Neurodegeneration with Brain Iron Accumulation (NBIA) is a group of rare genetic disorders characterized by progressive degenerative motor symptoms and the accumulation of iron in the basal ganglia. Pantothenate Kinase-Associated Neurodegeneration (PKAN) is a form of NBIA caused by a mutation in the PANK2 gene leading to a deficiency in pantothenate kinase. Phospholipase A2G6-Associated Neurodegeneration (PLAN) is caused by a mutation in the PLA2G6 gene resulting in impaired phospholipase activity. Current understanding of systemic changes in NBIA disorders is limited, leaving no clear diagnostic biomarkers. Monitoring the systemic changes could identify candidate biomarkers for assessing disease severity and evaluating the efficacy of new therapies. Previous studies of Parkinson's disease (PD) have found a systemic burden of increased oxidative stress and chronic inflammation accompanies the neurological symptoms of the disease. Similarly, abnormal systemic iron regulation associated with brain iron accumulation as well as damage associated with neuromuscular degeneration could lead to increased oxidative stress and a state of chronic inflammation in NBIA. Our initial investigation of a patient with PLAN1, revealed elevated levels of systemic oxidative stress. We investigated a group of PKAN patients as well as continued our investigation of a patient with PLAN to evaluate the possibility of abnormal iron trafficking, increased oxidative stress and chronic inflammation in NBIA. Our aim was to expand our investigation of circulating levels of inflammatory cytokines, oxidative stress markers and iron regulatory and metabolic proteins in NBIA patients to include a group of patients with PKAN. Methods: Plasma samples from 15 PKAN patients were collected at the UCSF Benioff Children's Hospital in Oakland, California. Similarly, a plasma sample from a patient with PLAN was collected in Campbell River, British Columbia. Plasma samples from a matched group of 15 healthy controls were also collected at the University of Victoria. All patients provided informed consent to the study. The pro-inflammatory cytokines IL-6 and TNFα as well as the anti-inflammatory cytokine IL-10 were measured by ELISA. Total levels of the lipid peroxidation product malondialdehyde (MDA) were measured using N-Methyl-Phenyl-Indole (NMPI). Free, acutely generated, MDA not bound to proteins, was measured by removing plasma proteins via a 10KD spin filtration then measuring the MDA content of resulting filtrate using NMPI. Results: The levels of MDA and Free MDA were significantly elevated in PKAN patients at baseline in comparison to controls (p = 0.05, p = 0.03). IL-6 and TNFα were slightly, but not significantly elevated at baseline compared to controls. We previously demonstrated, similar elevations of oxidative stress in our case study of an NBIA patient with PLAN1. Additionally, all three inflammatory cytokines measured for this study expansion in PLAN were higher than average levels observed in the PKAN and control groups (S ee Table 1). Further analysis of systemic biomarkers in NBIA including proteomic analysis of 30 systemic blood proteins, including iron trafficking proteins is ongoing. Conclusions: We expand previous findings of elevated levels of systemic oxidative stress in other neurodegenerative diseases such as PD to include NBIA patients with PKAN and PLAN. We provide novel evidence of elevated levels of Free MDA; representative of an acute oxidative stress burden in NBIA in addition to the previously noted elevation in total MDA levels. We provide preliminary signs that of an accompanying inflammatory burden in NBIA, but a larger sample group may be needed to determine its significance. References M. Minkley, A. Jackson, D. Smith, C. Borchers, E. Vichinsky, R. Nashmi, P.B. Walter and P. M. Macloed. (2017). Neurodegeneration with Brain Iron Accumulation: PLA2G6-Associated Dystonia-Parkinsonism: Clinical and Animal Studies. Presented at the 2017 European Human Genetics Conference, Copenhagen, Denmark . Disclosures Minkley: Apopharma: Research Funding. Neumayr: Apopharma: Research Funding. Walter: Apopharma: Research Funding.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
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 Opus0,025
Tête enseignante GPT0,288
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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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