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Usage Information

Telomere dysfunction promotes cholangiocyte senescence and biliary fibrosis in primary sclerosing cholangitis
Nidhi Jalan-Sakrikar, Abid Anwar, Usman Yaqoob, Can Gan, Anthony B. Lagnado, Alexander Q. Wixom, Diana Jurk, Robert C. Huebert
Nidhi Jalan-Sakrikar, Abid Anwar, Usman Yaqoob, Can Gan, Anthony B. Lagnado, Alexander Q. Wixom, Diana Jurk, Robert C. Huebert
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Research Article Gastroenterology Hepatology

Telomere dysfunction promotes cholangiocyte senescence and biliary fibrosis in primary sclerosing cholangitis

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Abstract

Cellular senescence and biliary fibrosis are prototypical features of obliterative cholangiopathies, such as primary sclerosing cholangitis (PSC). Telomere dysfunction can lead to senescence either through telomere erosion or damaged telomeres. Our goal was to investigate a mechanistic relationship between telomere damage and biliary fibrosis in PSC. Telomere attrition was observed in the bile ducts of patients with PSC along with a reduction in telomerase reverse transcriptase (TERT) expression, compared with that in normal livers. Similarly, liver tissue from mouse models of biliary fibrosis showed telomere attrition with increased damage at telomeres measured as telomere-associated foci (TAF). Cellular models of senescence induction increased the TAF in cholangiocytes. This coincided with decreased TERT expression and increased senescence, which was rescued by modulating TERT levels. Epigenetic analysis revealed increased acquisition of repressive histone methylation at the TERT promoter, which correlated with decreased TERT transcription. Cholangiocyte-selective deletion of TERT in mice exacerbated fibrosis, whereas androgen therapy toward telomerase rescued liver fibrosis and liver function in a genetic mouse model of PSC. Our results demonstrate a mechanistic role for telomere dysfunction in cellular senescence and fibrosis that characterize PSC. This suggests that PSC may be, in part, a telomere biology disorder, and identifies TERT as a potential therapeutic target.

Authors

Nidhi Jalan-Sakrikar, Abid Anwar, Usman Yaqoob, Can Gan, Anthony B. Lagnado, Alexander Q. Wixom, Diana Jurk, Robert C. Huebert

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 2,119 162
PDF 329 42
Figure 1,100 0
Supplemental data 256 4
Citation downloads 306 0
Totals 4,110 208
Total Views 4,318

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.

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