Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0002736 (amyotrophic lateral sclerosis)
 19,048 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

A central nervous disorder occurred spontaneously in a herd of feeder pigs characterized by muscle fasciculations, convulsions, squealing, and acute death in numerous animals. Histopathology revealed a degenerative poliomyeloencephalopathy of brain stem and spinal cord consisting of neuronal hypertrophy, chromatolysis, neuronophagia, and satellitosis associated with Wallerian degeneration of ventral rootlets and neurogenic muscle atrophy of limb musculature. The sudden onset of clinical signs and the pattern of morphological findings were suggestive of intoxication. Though parathion was found in two animals, serum acetylcholine esterase activity and morphological findings were not compatible with an organophosphate poisoning. A hereditary disorder was excluded by genetic analysis. Summarized findings in the present cases are reminiscent of changes observed in ruminants suffering from patulin poisoning, a neuromycotoxicosis caused by Aspergillus clavatus. However, toxicological and microbiological investigations failed to identify the cause of this unusual and so far not described disease in pigs. Morphologically, lesion distribution and alterations of motor neurons resemble changes observed in equine motor neuron disease, spinal muscular atrophy of certain canine breeds, and amyotrophic lateral sclerosis (Lou Gehrig's disease) in man. Therefore, the term spontaneous porcine motor neuron disease (SPMND) is proposed for this new and unique entitiy.
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PMID:Spontaneous degenerative polioencephalomyelopathy in feeder pigs--a new motor neuron disease? 2322 71

Neuromuscular disorder is a muscular and nervous disorder resulting in muscular weakness and progressively damages nervous control, such as amyotrophic lateral sclerosis (ALS) and myopathy (MYO). Its diagnosis can be possible by classification of ALS, MYO, and normal electromyogram (EMG) signals. In this paper, an effective method based on variational mode decomposition (VMD) is proposed for identification of neuromuscular disorder of EMG signals. VMD is an adaptive signal decomposition which decomposes EMG signals nonrecursively into band-limited functions or modes. These modes are used for extraction of spectral features, particularly spectral flatness, spectral spread, spectral decrease and statistical features like kurtosis, mean absolute deviation, and interquartile range. The extracted features are fed to the extreme learning machine classifier in order to classify neuromuscular disorder of EMG signals. The performance of obtained results shows that the method used provides a better classification for neuromuscular disorder of EMG signals as compared to existing methods.
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PMID:Features based on variational mode decomposition for identification of neuromuscular disorder using EMG signals. 3027 83