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Record W2980828285 · doi:10.1016/j.jalz.2019.06.2770

P2‐363: SERUM NEUROFILAMENT LIGHT PROTEIN AS A POTENTIAL BIOMARKER OF NEURODEGENERATION IN FORMER PROFESSIONAL ATHLETES WITH MULTIPLE CONCUSSIONS

2019· article· en· W2980828285 on OpenAlexaff
Foad Taghdiri, Namita Multani, Miracle Ozzoude, Apameh Tarazi, Seyed Ali Naeimi, Mozhgan Khodadadi, Richard Wennberg, David J. Mikulis, Robin Green, Brenda Colella, Karen D. Davis, Kaj Blennow, Charles H. Tator, Maria Carmela Tartaglia

Bibliographic record

VenueAlzheimer s & Dementia · 2019
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreUniversity Health NetworkToronto Western HospitalOccupational Cancer Research Centre
Fundersnot available
KeywordsNeurodegenerationCorpus callosumChronic traumatic encephalopathyBiomarkerMedicineCingulum (brain)Frontotemporal lobar degenerationInternal medicinePathologyOncologyFrontotemporal dementiaFractional anisotropyDiffusion MRIDiseaseMagnetic resonance imagingConcussionPoison controlDementiaRadiologyBiology

Abstract

fetched live from OpenAlex

The absence of adiagnostic tool for in vivo chronic traumatic encephalopathy (CTE) has made its diagnosis and treatment impossible.Increased concentrations of serum neurofilament light protein (NF-L) has been reported in individuals with neurodegenerative disease such as those with Alzheimer's disease and frontotemporal lobar degeneration. The aim of the study was to evaluate NFL as a biomarker of neurodegeneration and progression in former professional athletes with multiple concussions and at risk of CTE. Concentrations of serum NF-L of fifty-two former professional athleteswith a history of multiple concussions (ExPro]) [2 females, 50 males; age (mean±SD): 53.8±12.8 years of age]and twenty-three healthy controls (HC) with no history of concussions [all males; age: 49.1±10.8 years of age] were measured using single molecule array (SIMOA) technique. We determined, hippocampal, corpus callosum and total ventricular volumes. We performed seed-based probabilistic tractography of the uncinate, cingulum, and superior longitudinal and corpus callosum (CC) fasciculi to determine their integrity. We used CONN analysis to determine functional connectivity between the components of the resting state default mode network. We assessed the relationship between serum NF-L to the above-mentioned metrics. Eighteen ExPro underwent follow-up imaging after 2 years. All statistical analyses were controlled for age and intracranial volume. Serum concentrations of NF-L were not significantly different between the ExPro and HC (11.63±7.4 vs. 10.61±5.3 pg/ml, respectively). However, in the ExPro, the levels of NF-L were significantly correlated with the mean diffusivity (MD) of CC (r=0.382, p=0.004), total volume of CC (r= - 0.401, p=0.004), total ventricular volume (r= 0.393, p=0.001), volumes of both right and left hippocampi (r= −0.342, p=0.003; r= −0.277, p=0.019; respectively), and the functional connectivity between the right and left hippocampi (beta=−0.03, p=0.005). Moreover, the levels of NF-L in the ExPro at the first visit were significantly correlated with the amount of increase in CC MD over the period of 2 years follow-up (r=0.475, p=0.04). Serum NF-L levels may reflect cerebral changes in athletes with multiple concussions and it may predict decrease in white matter integrity over time. Serum NFL might be a potential biomarker of neurodegeneration in athletes with a history of multiple concussions.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.302
Teacher spread0.269 · 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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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