Chronic Inflammatory Demyelinating Polyneuropathy: Muscle Atrophy Associated with Denervation and Neuromuscular Transmission Instability
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".