A Human‐Based Functional NMJ System for Personalized ALS Modeling and Drug Testing

Abstract

Loss of the neuromuscular junction (NMJ) is an early and critical hallmark in all forms of amyotrophic lateral sclerosis (ALS). Herein, a functional NMJ disease model is developed by integrating motoneurons (MNs) differentiated from multiple ALS‐patients’ induced pluripotent stem cells (iPSCs) and primary human muscle into a chambered system. NMJ functionality is tested by recording myotube contractions while stimulating MNs by field electrodes and a set of clinically relevant parameters is defined to characterize the NMJ function. Three ALS lines are analyzed, two with SOD1 mutations and one with an FUS mutation. The ALS‐MNs reproduce pathological phenotypes, including increased axonal varicosities, reduced axonal branching and elongation, and increased excitability. These MNs form functional NMJs with wild type muscle, but with significant deficits in NMJ quantity, fidelity, and fatigue index. Furthermore, treatment with the Deanna protocol is found to correct the NMJ deficits in all the ALS mutant lines tested. Quantitative analysis also reveals the variations inherent in each mutant line. This functional NMJ system provides a platform for the study of both fALS and sALS and has the capability of being adapted into subtype‐specific or patient‐specific models for ALS etiological investigation and patient stratification for drug testing.

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 11, 2020
Source ID
10.1002/adtp.202000133

Entities

People

  • Aakash Patel
  • Christopher J. Long
  • Christopher W. Mcaleer
  • Eric Lorusso
  • James J Hickman
  • Max Jackson
  • Michael Thomas
  • My Tran
  • Siddharth Nimbalkar
  • Virginia F. Smith
  • Xiufang Guo
  • Ying Wang
  • Yunqing Cai

Organizations

  • Cornell University
  • National Institutes of Health
  • United States Department of Defense
  • University of Central Florida

Tags

Fields of Study

  • Biology

Readers

  • Immunology and Pathology
  • Medical Imaging.
  • Neuroscience

Technology Areas

  • Biotechnology