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Chronic Inflammatory Demyelinating Polyneuropathy: Muscle Atrophy Associated with Denervation and Neuromuscular Transmission Instability

2016· article· en· W4389026869 on OpenAlexafffund
Kevin J. Gilmore, Kurt Kimpinski, Daniel W. Stashuk, Tim J Doherty, Charles L. Rice

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsUniversity of WaterlooWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNeuromuscular transmissionElectromyographyMotor unitIsometric exerciseMedicineChronic inflammatory demyelinating polyneuropathyDenervationNeuromuscular junctionCompound muscle action potentialWeaknessNeuromuscular diseasePhysical medicine and rehabilitationCardiologyAtrophyInternal medicineElectrophysiologyAnatomyNeuroscienceDiseasePsychology

Abstract

fetched live from OpenAlex

Introduction Chronic inflammatory demyelinating polyneuropathy (CIDP) is an acquired neuropathy of immunological origin. Increased understanding of the pathophysiology of CIDP is of specific interest due to the treatable nature of the disease. It is characterized, in most cases, by symmetrical weakness in proximal and distal muscles that progresses for greater than 2 months. Evidence indicates that disease‐related post‐synaptic damage and muscle fiber atrophy lead to neuromuscular junction remodeling and impaired neuromuscular transmission (Deschenes et al. 2011). The integrity and stability of neuromuscular transmission can be examined using decomposition‐based quantitative electromyography (DQEMG), which can assess the degree of variability in the shape of consecutively detected motor unit potentials (MUPs) termed ‘jiggle’. In this study we compared voluntary and stimulated contractile function, electrophysiological motor unit (MU) properties and muscle volume quantities in a group of CIDP patients (n=11) with a group of age and sex‐matched healthy controls (n=11). Methods In an isometric dynamometer, dorsiflexion strength with twitch interpolation to assess voluntary activation, was recorded. Surface and concentric needle electromyographic (EMG) signals were collected from the tibialis anterior (TA). Compound motor action potentials (CMAPs) for the TA were obtained by supra‐maximal stimulation of the fibular nerve. To estimate the number of MUs in the TA the decomposition enhanced spike‐triggered averaging technique was applied. This required subjects to contract at 25% of their maximal voluntary strength for a series of 30s contractions until at least 20 suitable MU trains were acquired. From the intramuscular needle‐detected signals of single MUs, neuromuscular transmission stability was assessed through calculation of MUP ‘jiggle’. Magnetic resonance imaging (MRI) was used to calculate TA muscle volume. Results Despite near maximum voluntary activation (~98%), CIDP patients were ~50% weaker and had ~60% lower CMAP amplitudes than controls. The estimated number of functioning MUs in the TA was ~30% fewer in CIDP and with ~68% higher ‘jiggle’ values indicative of greater neuromuscular transmission instability. MRI results indicated that CIDP patients had ~40% less muscle volume in the TA compared to controls. From these preliminary results, those with CIDP have less strength, but are highly activated. They have substantially lower CMAP values and fewer numbers of MUs compared with controls. Neuromuscular stability is also considerably lower in CIDP. Conclusions Voluntary muscle weakness appears multifactorial and is due to limitations of peripheral neuromuscular transmission, muscle atrophy and moderate MU loss. MRI data indicate atrophy of the TA muscle in CIDP subjects who exhibit approximately half the muscle mass of controls. These measures that detect MU loss, neuromuscular transmission instability and muscle atrophy could be useful for objective assessment of disease severity leading to improved ability to monitor disease progression and treatment outcomes. Furthermore the use of DQEMG could be incorporated into larger studies to help identify CIDP patients in the early stages of neuromuscular degeneration allowing for earlier and perhaps more effective intervention. Support or Funding Information Supported by NSERC.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.010
GPT teacher head0.214
Teacher spread0.204 · 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.

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
Published2016
Admission routes2
Has abstractyes

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