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Usage Information

Monitoring liver damage using hepatocyte-specific methylation markers in cell-free circulating DNA
Roni Lehmann-Werman, … , Ruth Shemer, Yuval Dor
Roni Lehmann-Werman, … , Ruth Shemer, Yuval Dor
Published June 21, 2018
Citation Information: JCI Insight. 2018;3(12):e120687. https://doi.org/10.1172/jci.insight.120687.
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Resource and Technical Advance Hepatology Transplantation

Monitoring liver damage using hepatocyte-specific methylation markers in cell-free circulating DNA

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Abstract

Liver damage is typically inferred from serum measurements of cytoplasmic liver enzymes. DNA molecules released from dying hepatocytes are an alternative biomarker, unexplored so far, potentially allowing for quantitative assessment of liver cell death. Here we describe a method for detecting acute hepatocyte death, based on quantification of circulating, cell-free DNA (cfDNA) fragments carrying hepatocyte-specific methylation patterns. We identified 3 genomic loci that are unmethylated specifically in hepatocytes, and used bisulfite conversion, PCR, and massively parallel sequencing to quantify the concentration of hepatocyte-derived DNA in mixed samples. Healthy donors had, on average, 30 hepatocyte genomes/ml plasma, reflective of basal cell turnover in the liver. We identified elevations of hepatocyte cfDNA in patients shortly after liver transplantation, during acute rejection of an established liver transplant, and also in healthy individuals after partial hepatectomy. Furthermore, patients with sepsis had high levels of hepatocyte cfDNA, which correlated with levels of liver enzymes aspartate aminotransferase (AST) and alanine aminotransferase (ALT). Duchenne muscular dystrophy patients, in which elevated AST and ALT derive from damaged muscle rather than liver, did not have elevated hepatocyte cfDNA. We conclude that measurements of hepatocyte-derived cfDNA can provide specific and sensitive information on hepatocyte death, for monitoring human liver dynamics, disease, and toxicity.

Authors

Roni Lehmann-Werman, Judith Magenheim, Joshua Moss, Daniel Neiman, Ofri Abraham, Sheina Piyanzin, Hai Zemmour, Ilana Fox, Talya Dor, Markus Grompe, Giora Landesberg, Bao-Li Loza, Abraham Shaked, Kim Olthoff, Benjamin Glaser, Ruth Shemer, Yuval Dor

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Usage data is cumulative from June 2021 through June 2022.

Usage JCI PMC
Text version 1,582 505
PDF 185 133
Figure 302 7
Supplemental data 57 18
Citation downloads 55 0
Totals 2,181 663
Total Views 2,844
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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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