Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Dec 3;13(1):1264-1275.
doi: 10.18632/aging.202302. Epub 2020 Dec 3.

A model integrating donor gene polymorphisms predicts fibrosis after liver transplantation

Affiliations

A model integrating donor gene polymorphisms predicts fibrosis after liver transplantation

Chao Wang et al. Aging (Albany NY). .

Abstract

Post-transplant liver fibrosis (PTLF) is a common and severe complication in liver recipients. In this study, we assessed the impact of donor liver genetics on the development of PTLF. A total of 232 patients undergoing liver transplantation were included. Twenty-two single nucleotide polymorphisms (SNPs) associated with liver fibrosis were analyzed. Univariate analysis revealed seven donor SNPs to be associated with PTLF. In a multivariate analysis, independent risk factors of PTLF were genetic variation of donor GRP78 rs430397 (OR = 8.99, p = 0.003), GSTP1 rs1695 (OR = 0.13, p = 0.021), miRNA-196a rs12304647 (OR = 16.01, p =0.001), and TNF-α rs1800630 (OR = 79.78, p = 0.001); blood tacrolimus levels at maintenance > 7 ng/ml (OR =7.48, p <0.001); and post-transplant diabetes mellitus (OR = 7.50, p = 0.001). A predictive model that included donor SNPs showed better prognostic ability for PTLF than a model with only clinical parameters (AUROC: 0.863 vs 0.707, P < 0.001). Given that donor gene SNPs are associated with an increased risk of PTLF, this model integrated with donor gene polymorphisms may help clinicians predict PTLF.

Keywords: liver fibrosis; liver transplantation; novel integrated model; single nucleotide polymorphisms.

PubMed Disclaimer

Conflict of interest statement

CONFLICTS OF INTEREST: The authors declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1
ROC curves of the model to predict LF after LT. LF: liver fibrosis; LT: liver transplantation; ROC: receiver operating characteristic curve.

Similar articles

Cited by

References

    1. Tsochatzis EA, Bosch J, Burroughs AK. Liver cirrhosis. Lancet. 2014; 383:1749–61. 10.1016/S0140-6736(14)60121-5 - DOI - PubMed
    1. Ebrahimi H, Naderian M, Sohrabpour AA. New concepts on reversibility and targeting of liver fibrosis; a review article. Middle East J Dig Dis. 2018; 10:133–48. 10.15171/mejdd.2018.103 - DOI - PMC - PubMed
    1. Liaw YF. Reversal of cirrhosis: an achievable goal of hepatitis B antiviral therapy. J Hepatol. 2013; 59:880–81. 10.1016/j.jhep.2013.05.007 - DOI - PubMed
    1. Neumann U, Samuel D, Trunečka P, Gugenheim J, Gerunda GE, Friman S. A randomized multicenter study comparing a tacrolimus-based protocol with and without steroids in HCV-positive liver allograft recipients. J Transplant. 2012; 2012:894215. 10.1155/2012/894215 - DOI - PMC - PubMed
    1. Chiang DJ, Pritchard MT, Nagy LE. Obesity, diabetes mellitus, and liver fibrosis. Am J Physiol Gastrointest Liver Physiol. 2011; 300:G697–702. 10.1152/ajpgi.00426.2010 - DOI - PMC - PubMed

Publication types

MeSH terms