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

2017· article· en· W3016016533 on 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

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldNeuroscience
TopicNeurological diseases and metabolism
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsNeurodegenerationOxidative stressInflammationSystemic inflammationMedicineDiseaseInternal medicinePathology

Abstract

fetched live from 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.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.288
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2017
Admission routes1
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