Exosome-derived galectin-9 may be a novel predictor of rejection and prognosis after liver transplantation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-06-10

AUTHORS

Ai-bin Zhang, Yi-fan Peng, Jun-jun Jia, Yu Nie, Shi-yu Zhang, Hai-yang Xie, Lin Zhou, Shu-sen Zheng

ABSTRACT

Acute cellular rejection (ACR) remains a major concern after liver transplantation. Predicting and monitoring acute rejection by non-invasive methods are very important for guiding the use of immunosuppressive drugs. Many studies have shown that exosomes and their contents are potential biomarkers for various liver diseases. Here, we identify and validate the role of exosomes and galectin-9 in ACR after liver transplantation. Exosomes were isolated from three sets of paired patients, with and without ACR, and the proteins within the exosomes were isolated and identified. Candidate proteins were then validated using a tissue microarray containing resected liver samples from 73 ACR and 63 non-rejection patients. Finally, protein expression and clinical manifestations were included in Kaplan-Meier survival and Cox regression analyses. Circulating exosomes were isolated from ACR and non-rejection patients and characterized using transmission electron microscopy and western blotting for CD63/CD81. Western blotting experiments revealed higher levels of galectin-9 protein in circulating exosomes from ACR recipients. Immunohistochemical analysis of the tissue microarray showed that the expression of galectin-9 in resected liver was significantly higher in the ACR group than in the non-rejection group (P<0.05). Higher levels of galectin-9 expression in resected livers were associated with poorer prognosis (P<0.05). Exosome-derived galectin-9 may be a novel predictor of rejection and prognosis after liver transplantation. More... »

PAGES

605-612

Identifiers

URI

http://scigraph.springernature.com/pub.10.1631/jzus.b1900051

DOI

http://dx.doi.org/10.1631/jzus.b1900051

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1116867838

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/31168974


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