Literature DB >> 29547745

Stem cell derived phenotypic human neuromuscular junction model for dose response evaluation of therapeutics.

Navaneetha Santhanam1, Lee Kumanchik1, Xiufang Guo1, Frank Sommerhage1, Yunqing Cai1, Max Jackson1, Candace Martin1, George Saad1, Christopher W McAleer1, Ying Wang2, Andrea Lavado1, Christopher J Long1, James J Hickman3.   

Abstract

There are currently no functional neuromuscular junction (hNMJ) systems composed of human cells that could be used for drug evaluations or toxicity testing in vitro. These systems are needed to evaluate NMJs for diseases such as amyotrophic lateral sclerosis, spinal muscular atrophy or other neurodegenerative diseases or injury states. There are certainly no model systems, animal or human, that allows for isolated treatment of motoneurons or muscle capable of generating dose response curves to evaluate pharmacological activity of these highly specialized functional units. A system was developed in which human myotubes and motoneurons derived from stem cells were cultured in a serum-free medium in a BioMEMS construct. The system is composed of two chambers linked by microtunnels to enable axonal outgrowth to the muscle chamber that allows separate stimulation of each component and physiological NMJ function and MN stimulated tetanus. The muscle's contractions, induced by motoneuron activation or direct electrical stimulation, were monitored by image subtraction video recording for both frequency and amplitude. Bungarotoxin, BOTOX® and curare dose response curves were generated to demonstrate pharmacological relevance of the phenotypic screening device. This quantifiable functional hNMJ system establishes a platform for generating patient-specific NMJ models by including patient-derived iPSCs.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  BioMEMS; Dose response; Drug discovery; Human; Neuromuscular junction

Mesh:

Year:  2018        PMID: 29547745      PMCID: PMC5866791          DOI: 10.1016/j.biomaterials.2018.02.047

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   12.479


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