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

Human PNPLA3-I148M variant increases hepatic retention of polyunsaturated fatty acids
Panu K. Luukkonen, Auli Nick, Maarit Hölttä-Vuori, Christoph Thiele, Elina Isokuortti, Susanna Lallukka-Brück, You Zhou, Antti Hakkarainen, Nina Lundbom, Markku Peltonen, Marju Orho-Melander, Matej Orešič, Tuulia Hyötyläinen, Leanne Hodson, Elina Ikonen, Hannele Yki-Järvinen
Panu K. Luukkonen, Auli Nick, Maarit Hölttä-Vuori, Christoph Thiele, Elina Isokuortti, Susanna Lallukka-Brück, You Zhou, Antti Hakkarainen, Nina Lundbom, Markku Peltonen, Marju Orho-Melander, Matej Orešič, Tuulia Hyötyläinen, Leanne Hodson, Elina Ikonen, Hannele Yki-Järvinen
View: Text | PDF
Research Article Hepatology Metabolism

Human PNPLA3-I148M variant increases hepatic retention of polyunsaturated fatty acids

  • Text
  • PDF
Abstract

The common patatin-like phospholipase domain–containing protein 3 (PNPLA3) variant I148M predisposes to nonalcoholic liver disease but not its metabolic sequelae. We compared the handling of labeled polyunsaturated fatty acids (PUFAs) and saturated fatty acids (SFA) in vivo in humans and in cells harboring different PNPLA3 genotypes. In 148M homozygous individuals, triglycerides (TGs) in very low–density lipoproteins (VLDL) were depleted of PUFAs both under fasting and postprandial conditions compared with 148I homozygotes, and the PUFA/SFA ratio in VLDL-TGs was lower relative to the chylomicron precursor pool. In human PNPLA3-148M and PNPLA3-KO cells, PUFA but not SFA incorporation into TGs was increased at the expense of phosphatidylcholines, and under lipolytic conditions, PUFA-containing diacylglycerols (DAGs) accumulated compared with PNPLA3-148I cells. Polyunsaturated TGs were increased, while phosphatidylcholines (PCs) were decreased in the human liver in 148M homozygous individuals as compared with 148I homozygotes. We conclude that human PNPLA3-I148M is a loss-of-function allele that remodels liver TGs in a polyunsaturated direction by impairing hydrolysis/transacylation of PUFAs from DAGs to feed phosphatidylcholine synthesis.

Authors

Panu K. Luukkonen, Auli Nick, Maarit Hölttä-Vuori, Christoph Thiele, Elina Isokuortti, Susanna Lallukka-Brück, You Zhou, Antti Hakkarainen, Nina Lundbom, Markku Peltonen, Marju Orho-Melander, Matej Orešič, Tuulia Hyötyläinen, Leanne Hodson, Elina Ikonen, Hannele Yki-Järvinen

×

Usage data is cumulative from March 2025 through March 2026.

Usage JCI PMC
Text version 1,647 303
PDF 155 102
Figure 308 4
Table 47 0
Supplemental data 71 16
Citation downloads 88 0
Totals 2,316 425
Total Views 2,741
(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