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

Development of an RNAi therapeutic for alpha-1-antitrypsin liver disease
Christine I. Wooddell, Keith Blomenkamp, Ryan M. Peterson, Vladimir M. Subbotin, Christian Schwabe, James Hamilton, Qili Chu, Dawn R. Christianson, Julia O. Hegge, John Kolbe, Holly L. Hamilton, Maria F. Branca-Afrazi, Bruce D. Given, David L. Lewis, Edward Gane, Steven B. Kanner, Jeffrey H. Teckman
Christine I. Wooddell, Keith Blomenkamp, Ryan M. Peterson, Vladimir M. Subbotin, Christian Schwabe, James Hamilton, Qili Chu, Dawn R. Christianson, Julia O. Hegge, John Kolbe, Holly L. Hamilton, Maria F. Branca-Afrazi, Bruce D. Given, David L. Lewis, Edward Gane, Steven B. Kanner, Jeffrey H. Teckman
View: Text | PDF
Research Article Hepatology Therapeutics

Development of an RNAi therapeutic for alpha-1-antitrypsin liver disease

  • Text
  • PDF
Abstract

The autosomal codominant genetic disorder alpha-1 antitrypsin (AAT) deficiency (AATD) causes pulmonary and liver disease. Individuals homozygous for the mutant Z allele accumulate polymers of Z-AAT protein in hepatocytes, where AAT is primarily produced. This accumulation causes endoplasmic reticulum (ER) stress, oxidative stress, damage to mitochondria, and inflammation, leading to fibrosis, cirrhosis, and hepatocellular carcinoma. The magnitude of AAT reduction and duration of response from first-generation intravenously administered RNA interference (RNAi) therapeutic ARC-AAT and then with next-generation subcutaneously administered ARO-AAT were assessed by measuring AAT protein in serum of the PiZ transgenic mouse model and human volunteers. The impact of Z-AAT reduction by RNAi on liver disease phenotypes was evaluated in PiZ mice by measuring polymeric Z-AAT in the liver; expression of genes associated with fibrosis, autophagy, apoptosis, and redox regulation; inflammation; Z-AAT globule parameters; and tumor formation. Ultrastructure of the ER, mitochondria, and autophagosomes in hepatocytes was evaluated by electron microscopy. In mice, sustained RNAi treatment reduced hepatic Z-AAT polymer, restored ER and mitochondrial health, normalized expression of disease-associated genes, reduced inflammation, and prevented tumor formation. RNAi therapy holds promise for the treatment of patients with AATD-associated liver disease. ARO-AAT is currently in phase II/III clinical trials.

Authors

Christine I. Wooddell, Keith Blomenkamp, Ryan M. Peterson, Vladimir M. Subbotin, Christian Schwabe, James Hamilton, Qili Chu, Dawn R. Christianson, Julia O. Hegge, John Kolbe, Holly L. Hamilton, Maria F. Branca-Afrazi, Bruce D. Given, David L. Lewis, Edward Gane, Steven B. Kanner, Jeffrey H. Teckman

×

Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
Text version 2,202 330
PDF 219 124
Figure 736 5
Table 79 0
Supplemental data 169 32
Citation downloads 202 0
Totals 3,607 491
Total Views 4,098
(Click and drag on plot area to zoom in. Click legend items above to toggle)

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