共 49 条
Identification of HO-1 as a novel biomarker for graft acute cellular rejection and prognosis prediction after liver transplantation
被引:8
作者:
Jia, Junjun
[1
,2
,3
]
Nie, Yu
[1
,2
,3
]
Geng, Lei
[1
,2
,3
]
Li, Jianhui
[1
,2
,3
]
Liu, Jimin
[4
]
Peng, Yifan
[2
,3
]
Huang, Junjie
[2
,3
]
Xie, Haiyang
[1
,2
,3
]
Zhou, Lin
[1
,2
,3
]
Zheng, Shu-Sen
[1
,2
,3
]
机构:
[1] Zhejiang Univ, Coll Med, Div Hepatobiliary & Pancreat Surg, Affiliated Hosp 1,Sch Med,Dept Surg, Hangzhou 310003, Peoples R China
[2] Minist Publ Hlth, Key Lab Combined Multiorgan Transplantat, Hangzhou 310003, Peoples R China
[3] Zhejiang Univ, Affiliated Hosp 1, Sch Med, Collaborat Innovat Ctr Diag Treatment Infect Dis, Hangzhou 310003, Peoples R China
[4] McMaster Univ, Fac Hlth Sci, Dept Pathol & Mol Med, Hamilton, ON, Canada
基金:
中国国家自然科学基金;
中国博士后科学基金;
关键词:
Acute cellular rejection (ACR);
heme oxygenase-1 (HO-1);
liver transplantation (LT);
biomarker;
HEME OXYGENASE-1;
IMMUNOSUPPRESSION;
EXPRESSION;
TOLERANCE;
RECIPIENTS;
DIAGNOSIS;
NETWORKS;
MARKERS;
INJURY;
TOOL;
D O I:
10.21037/atm.2020.01.59
中图分类号:
R73 [肿瘤学];
学科分类号:
100214 ;
摘要:
Background: Liver transplantation (LT) is the most effective treatment for patients with end-stage liver diseases, but acute rejection is still a major concern. However, the mechanisms underlying rejection remain unclear. Biomarkers are lacking for predicting rejection and long-term survival after LT. Methods: Isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomics was performed between acute cellular rejection (ACR) and non-rejection recipients. The molecular signature differences and potential biomarkers were identified by comprehensive bioinformatics. Heme oxygenase-1 (HO-1) expression and its association with clinical outcomes were investigated by tissue microarrays consisted of liver specimens from recipients with (n=80) and without ACR (n=57). Results: A total of 287 differentially expressed proteins (DEPs) were identified. Pathway analysis revealed that T/B cell activation, integrin/inflammation signaling pathway, etc. were significantly correlated with ACR. Through comprehensive bioinformatics, HO-1 was identified as a candidate potential biomarker for ACR. In tissue microarray (TMA) analysis, HO-I expression was significantly higher in ACR group than in non-rejection group (P<0.01). Preoperative Child-Pugh and Meld scores were significantly higher in recipients with high HO-1 expression (P<0.01). In a mean 5-year follow-up, recipients with high HO-1 expression were associated with a shorter overall survival (P<0.05). Further multivariate analyses indicated that HO-1 could be an independent adverse prognostic factor for post-transplant survival (P=0.005). Conclusions: A total of 287 DEPs were identified, providing a set of targets for further research. Recipients with high preoperative HO-1 expression were associated with ACR. HO-1 may be used as a potential biomarker for predicting the development of post-transplant allograft ACR and recipient's survival.
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