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Synaptic Defects in the Spinal and Neuromuscular Circuitry in a Mouse Model of Spinal Muscular Atrophy

Overview of attention for article published in PLOS ONE, November 2010
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Title
Synaptic Defects in the Spinal and Neuromuscular Circuitry in a Mouse Model of Spinal Muscular Atrophy
Published in
PLOS ONE, November 2010
DOI 10.1371/journal.pone.0015457
Pubmed ID
Authors

Karen K. Y. Ling, Ming-Yi Lin, Brian Zingg, Zhihua Feng, Chien-Ping Ko

Abstract

Spinal muscular atrophy (SMA) is a major genetic cause of death in childhood characterized by marked muscle weakness. To investigate mechanisms underlying motor impairment in SMA, we examined the spinal and neuromuscular circuitry governing hindlimb ambulatory behavior in SMA model mice (SMNΔ7). In the neuromuscular circuitry, we found that nearly all neuromuscular junctions (NMJs) in hindlimb muscles of SMNΔ7 mice remained fully innervated at the disease end stage and were capable of eliciting muscle contraction, despite a modest reduction in quantal content. In the spinal circuitry, we observed a ∼28% loss of synapses onto spinal motoneurons in the lateral column of lumbar segments 3-5, and a significant reduction in proprioceptive sensory neurons, which may contribute to the 50% reduction in vesicular glutamate transporter 1(VGLUT1)-positive synapses onto SMNΔ7 motoneurons. In addition, there was an increase in the association of activated microglia with SMNΔ7 motoneurons. Together, our results present a novel concept that synaptic defects occur at multiple levels of the spinal and neuromuscular circuitry in SMNΔ7 mice, and that proprioceptive spinal synapses could be a potential target for SMA therapy.

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Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Germany 1 <1%
France 1 <1%
Portugal 1 <1%
Italy 1 <1%
Belgium 1 <1%
United States 1 <1%
Croatia 1 <1%
Unknown 136 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 19%
Researcher 24 17%
Student > Bachelor 15 10%
Student > Master 13 9%
Professor > Associate Professor 10 7%
Other 25 17%
Unknown 30 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 29%
Neuroscience 26 18%
Medicine and Dentistry 20 14%
Biochemistry, Genetics and Molecular Biology 12 8%
Engineering 3 2%
Other 10 7%
Unknown 32 22%