Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Mutant induced neurons and humanized mice enable identification of Niemann-Pick type C1 proteostatic therapies
Ruth D. Azaria, Adele B. Correia, Kylie J. Schache, Manuela Zapata, Koralege C. Pathmasiri, Varshasnata Mohanty, Dharma T. Nannapaneni, Brandon L. Ashfeld, Paul Helquist, Olaf Wiest, Kenji Ohgane, Qingqing Li, Ross A. Fredenburg, Brian S.J. Blagg, Stephanie M. Cologna, Mark L. Schultz, Andrew P. Lieberman
Ruth D. Azaria, Adele B. Correia, Kylie J. Schache, Manuela Zapata, Koralege C. Pathmasiri, Varshasnata Mohanty, Dharma T. Nannapaneni, Brandon L. Ashfeld, Paul Helquist, Olaf Wiest, Kenji Ohgane, Qingqing Li, Ross A. Fredenburg, Brian S.J. Blagg, Stephanie M. Cologna, Mark L. Schultz, Andrew P. Lieberman
View: Text | PDF
Research Article Neuroscience

Mutant induced neurons and humanized mice enable identification of Niemann-Pick type C1 proteostatic therapies

  • Text
  • PDF
Abstract

Therapeutics that rescue folding, trafficking, and function of disease-causing missense mutants are sought for a host of human diseases, but efforts to leverage model systems to test emerging strategies have met with limited success. Such is the case for Niemann-Pick type C1 disease, a lysosomal disorder characterized by impaired intracellular cholesterol trafficking, progressive neurodegeneration, and early death. NPC1, a multipass transmembrane glycoprotein, is synthesized in the endoplasmic reticulum and traffics to late endosomes/lysosomes, but this process is often disrupted in disease. We sought to identify small molecules that promote folding and enable lysosomal localization and functional recovery of mutant NPC1. We leveraged a panel of isogenic human induced neurons expressing distinct NPC1 missense mutations. We used this panel to rescreen compounds that were reported previously to correct NPC1 folding and trafficking. We established mo56-hydroxycholesterol (mo56Hc) as a potent pharmacological chaperone for several NPC1 mutants. Furthermore, we generated mice expressing human I1061T NPC1, a common mutation in patients. We demonstrated that this model exhibited disease phenotypes and recapitulated the protein trafficking defects, lipid storage, and response to mo56Hc exhibited by human cells expressing I1061T NPC1. These tools established a paradigm for testing and validation of proteostatic therapeutics as an important step toward the development of disease-modifying therapies.

Authors

Ruth D. Azaria, Adele B. Correia, Kylie J. Schache, Manuela Zapata, Koralege C. Pathmasiri, Varshasnata Mohanty, Dharma T. Nannapaneni, Brandon L. Ashfeld, Paul Helquist, Olaf Wiest, Kenji Ohgane, Qingqing Li, Ross A. Fredenburg, Brian S.J. Blagg, Stephanie M. Cologna, Mark L. Schultz, Andrew P. Lieberman

×

Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 2,885 356
PDF 358 70
Figure 1,071 4
Supplemental data 439 36
Citation downloads 272 0
Totals 5,025 466
Total Views 5,491

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts