Lessons Learned from Muscle Fatigue: Implications for Treatment of Patients with Hyperkalemic Periodic Paralysis
Bibliographic record
Abstract
Hyperkalemic periodic paralysis (HyperKPP) is a disease characterized by periods of myotonic discharges and paralytic attacks causing weakness, the latter associated with increases in plasma [K+]. The myotonic discharge is due to increased Na+ influx through defective Na+ channels that triggers generation of several action potentials. The subsequent increase in extracellular K+ concentration causes excessive membrane depolarization that inactivates Na+ channels triggering the paralysis. None of the available treatments is fully effective. This paper reviews the capacity of Na+ K+ ATPase pumps, KATP and ClC-1 Cl- channels in improving membrane excitability during muscle activity and how using these three membrane components we can study future and more effective treatments for HyperKPP patients. The review of current patents related to HyperKPP reinforces the need of novel approaches for the treatment of this channelopathy. Keywords: Skeletal muscle, muscle fatigue, muscle paralysis, hyperkalemic periodic paralysis, patients, humans, treatments, pain, muscle soreness, muscle spasms, muscle weakness, potassium, plasma potassium levels, Na+/K+ ATPase pumps, patents
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".