1
|
Xiang Z, Li J, Zeng H, Xiang X, Gao F, Wang K, Wei X, Zheng S, Xu X. Current Understanding of Marginal Grafts in Liver Transplantation. Aging Dis 2024:AD.2024.0214. [PMID: 38607739 DOI: 10.14336/ad.2024.0214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 02/14/2024] [Indexed: 04/14/2024] Open
Abstract
End-stage liver disease (ESLD), stemming from a spectrum of chronic liver pathologies including chronic liver failure, acute cirrhosis decompensation and hepatocellular carcinoma, imposes a significant global healthcare burden. Liver transplantation (LT) remains the only treatment for ESLD. However, the escalating mortality on transplant waitlists has prompted the utilization of marginal liver grafts in LT procedures. These grafts primarily encompass elderly livers, steatotic livers, livers from donation after circulatory death, split livers and those infected with the hepatitis virus. While the expansion of the donor pool offers promise, it also introduces concomitant risks. These encompass graft failure, biliary and cardiovascular complications, the recurrence of liver disease and reduced patient and graft survival. Consequently, various established strategies, ranging from improved donor-recipient matching to surgical interventions, have emerged to mitigate these risks. This article undertakes a comprehensive assessment of the current landscape, evaluating the viability of diverse marginal liver grafts. Additionally, it synthesizes approaches aimed at enhancing the quality of such marginal liver grafts. The overarching objective is to augment the donor pool and ameliorate the risk factors associated with the shortage of liver grafts.
Collapse
Affiliation(s)
- Ze Xiang
- Department of Hepatobiliary and Pancreatic Surgery, Hangzhou First People's Hospital, Hangzhou 310006, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jiarui Li
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Huixuan Zeng
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xiaonan Xiang
- Zhejiang University School of Medicine, Hangzhou 310058, China
- Department of Surgery, University of Cambridge and NIHR Cambridge Biomedical Research Centre, Cambridge, Cambridgeshire, UK
| | - Fengqiang Gao
- Department of Hepatobiliary and Pancreatic Surgery, Hangzhou First People's Hospital, Hangzhou 310006, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Kai Wang
- Department of Hepatobiliary and Pancreatic Surgery, Hangzhou First People's Hospital, Hangzhou 310006, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xuyong Wei
- Department of Hepatobiliary and Pancreatic Surgery, Hangzhou First People's Hospital, Hangzhou 310006, China
| | - Shusen Zheng
- Zhejiang University School of Medicine, Hangzhou 310058, China
- Shulan (Hangzhou) Hospital, Zhejiang Shuren University School of Medicine, Hangzhou 310022, China
- NHC Key Laboratory of Combined Multi-organ Transplantation, Hangzhou 310003, China
| | - Xiao Xu
- Zhejiang University School of Medicine, Hangzhou 310058, China
- NHC Key Laboratory of Combined Multi-organ Transplantation, Hangzhou 310003, China
| |
Collapse
|
2
|
Li H, Lu D, Chen J, Zhang J, Zhuo J, Lin Z, Cao C, Shen W, He C, Chen H, Hu Z, Sun Y, Wei X, Zhuang L, Zheng S, Xu X. Post-transplant hepatitis B virus reactivation impacts the prognosis of patients with hepatitis B-related hepatocellular carcinoma: a dual-centre retrospective cohort study in China. Int J Surg 2024; 110:2263-2274. [PMID: 38348848 PMCID: PMC11019990 DOI: 10.1097/js9.0000000000001141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/25/2024] [Indexed: 04/18/2024]
Abstract
BACKGROUND Highly active hepatitis B virus (HBV) is known to be associated with poor outcomes in patients with hepatocellular carcinoma (HCC). This study aims to investigate the relationship between HBV status and HCC recurrence after liver transplantation. METHODS The study retrospectively analyzed HCC patients undergoing liver transplantation in two centres between January 2015 and December 2020. The authors reviewed post-transplant HBV status and its association with outcomes. RESULTS The prognosis of recipients with hepatitis B surface antigen (HBsAg) reappearance ( n =58) was poorer than those with HBsAg persistent negative ( n =351) and positive ( n =53). In HBsAg persistent positive group, recipients with HBV DNA reappearance or greater than 10-fold increase above baseline had worse outcomes than those without ( P <0.01). HBV reactivation was defined as (a) HBsAg reappearance or (b) HBV DNA reappearance or greater than 10-fold increase above baseline. After propensity score matching, the 5-year overall survival rate and recurrence-free survival rate after liver transplantation in recipients with HBV reactivation were significantly lower than those without (32.0% vs. 62.3%; P <0.01, and 16.4% vs. 63.1%; P <0.01, respectively). Moreover, HBV reactivation was significantly related to post-transplant HCC recurrence, especially lung metastasis. Cox regression analysis revealed that beyond Milan criteria, microvascular invasion and HBsAg-positive graft were independent risk factors for post-transplant HBV reactivation, and a novel nomogram was established accordingly with a good predictive efficacy (area under the time-dependent receiver operating characteristic curve=0.78, C-index =0.73). CONCLUSIONS Recipients with HBV reactivation had worse outcomes and higher tumour recurrence rates than those without. The nomogram could be used to evaluate the risk of post-transplant HBV reactivation effectively.
Collapse
Affiliation(s)
- Huigang Li
- Zhejiang University School of Medicine
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
| | - Di Lu
- Zhejiang University School of Medicine
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
| | - Jinyan Chen
- Zhejiang University School of Medicine
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
| | | | - Jianyong Zhuo
- Zhejiang University School of Medicine
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
| | - Zuyuan Lin
- Zhejiang University School of Medicine
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
| | - Chenghao Cao
- Zhejiang University School of Medicine
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
| | - Wei Shen
- Zhejiang University School of Medicine
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
| | - Chiyu He
- Zhejiang University School of Medicine
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
| | - Hao Chen
- Zhejiang University School of Medicine
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
| | - Zhihang Hu
- Zhejiang University School of Medicine
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
| | - Yiyang Sun
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
- The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou
| | - Xuyong Wei
- Zhejiang University School of Medicine
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
| | - Li Zhuang
- The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou
| | - Shusen Zheng
- Department of Hepatobiliary and Pancreatic Surgery, Shulan (Hangzhou) Hospital, Hangzhou
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou
- National Center for Healthcare Quality Management in Liver Transplant, Hangzhou China
| | - Xiao Xu
- Zhejiang University School of Medicine
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou
- National Center for Healthcare Quality Management in Liver Transplant, Hangzhou China
| |
Collapse
|
3
|
Terrault NA, Francoz C, Berenguer M, Charlton M, Heimbach J. Liver Transplantation 2023: Status Report, Current and Future Challenges. Clin Gastroenterol Hepatol 2023; 21:2150-2166. [PMID: 37084928 DOI: 10.1016/j.cgh.2023.04.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/29/2023] [Accepted: 04/04/2023] [Indexed: 04/23/2023]
Abstract
Liver transplantation offers live-saving therapy for patients with complications of cirrhosis and stage T2 hepatocellular carcinoma. The demand for organs far outstrips the supply, and innovations aimed at increasing the number of usable deceased donors as well as alternative donor sources are a major focus. The etiologies of cirrhosis are shifting over time, with more need for transplantation among patients with alcohol-associated liver disease and nonalcoholic/metabolic fatty liver disease and less for viral hepatitis, although hepatitis B remains an important indication for transplant in countries with high endemicity. The rise in transplantation for alcohol-associated liver disease and nonalcoholic/metabolic fatty liver disease has brought attention to how patients are selected for transplantation and the strategies needed to prevent recurrent disease. In this review, we present a status report on the most pressing topics in liver transplantation and future challenges.
Collapse
Affiliation(s)
- Norah A Terrault
- Division of Gastrointestinal and Liver Diseases, University of Southern California, Los Angeles, California.
| | - Claire Francoz
- Liver Intensive Care and Liver Transplantation Unit, Hepatology, Hospital Beaujon, Clichy, France
| | - Marina Berenguer
- Hepatology and Liver Transplantation Unit, Hospital Universitario la Fe - IIS La Fe Valencia; CiberEHD and University of Valencia, Valencia, Spain
| | - Michael Charlton
- Transplantation Institute, University of Chicago, Chicago, Illinois
| | - Julie Heimbach
- William von Liebig Center for Transplantation, Mayo Clinic Rochester, Minnesota
| |
Collapse
|
4
|
Zhu CX, Yang L, Zhao H, Zhang Y, Tu S, Guo J, Yan D, Hu CX, Lu HF, Xu KJ, Huang JR, Li LJ. Impact of cirrhosis-related complications on posttransplant survival in patients with acute-on-chronic liver failure. Hepatobiliary Pancreat Dis Int 2023; 22:64-71. [PMID: 36151023 DOI: 10.1016/j.hbpd.2022.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 09/06/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Acute-on-chronic liver failure (ACLF) is a life-threatening syndrome defined as acute decompensation in patients with chronic liver disease. Liver transplantation (LT) is the most effective treatment. We aimed to assess the impact of cirrhosis-related complications pre-LT on the posttransplant prognosis of patients with ACLF. METHODS This was an observational cohort study conducted between January 2018 and December 2020. Clinical characteristics, cirrhosis-related complications at LT and patient survival post-LT were collected. All liver recipients with ACLF were followed for 1 year post-LT. RESULTS A total of 212 LT recipients with ACLF were enrolled, including 75 (35.4%) patients with ACLF-1, 64 (30.2%) with ACLF-2, and 73 (34.4%) with ACLF-3. The median waiting time for LT was 11 (4-24) days. The most prevalent cirrhosis-related complication was ascites (78.8%), followed by hepatic encephalopathy (57.1%), bacterial infections (48.1%), hepatorenal syndrome (22.2%) and gastrointestinal bleeding (11.3%). Survival analyses showed that patients with complications at LT had a significantly lower survival probability at both 3 months and 1 year after LT than those without complications (all P < 0.05). A simplified model was developed by assigning one point to each complication: transplantation for ACLF with cirrhosis-related complication (TACC) model. Risk stratification of TACC model identified 3 strata (≥ 4, = 3, and ≤ 2) with high, median and low risk of death after LT (P < 0.001). Moreover, the TACC model showed a comparable ability for predicting the outcome post-LT to the other four prognostic models (chronic liver failure-consortium ACLF score, Chinese Group on the Study of Severe Hepatitis B-ACLF score, model for end-stage liver disease score and Child-Turcotte-Pugh score). CONCLUSIONS The presence of cirrhosis-related complications pre-LT increases the risk of death post-LT in patients with ACLF. The TACC model based on the number of cirrhosis-related complications pre-LT could stratify posttransplant survival, which might help to determine transplant timing for ACLF.
Collapse
Affiliation(s)
- Chun-Xia Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China
| | - Lu Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China
| | - Hong Zhao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China
| | - Yan Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China
| | - Sheng Tu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China
| | - Jing Guo
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China
| | - Dong Yan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China
| | - Chen-Xia Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China
| | - Hai-Feng Lu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China
| | - Kai-Jin Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China
| | - Jian-Rong Huang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China
| | - Lan-Juan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China.
| |
Collapse
|
5
|
Yuan M, Yao L, Hu X, Jiang Y, Li L. Identification of effective diagnostic biomarker and immune cell infiltration characteristics in acute liver failure by integrating bioinformatics analysis and machine-learning strategies. Front Genet 2022; 13:1004912. [PMID: 36246593 PMCID: PMC9554357 DOI: 10.3389/fgene.2022.1004912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/15/2022] [Indexed: 12/02/2022] Open
Abstract
Background: To determine effective biomarkers for the diagnosis of acute liver failure (ALF) and explore the characteristics of the immune cell infiltration of ALF. Methods: We analyzed the differentially expressed genes (DEGs) between ALF and control samples in GSE38941, GSE62029, GSE96851, GSE120652, and merged datasets. Co-expressed DEGs (co-DEGs) identified from the five datasets were analyzed for enrichment analysis. We further constructed a PPI network of co-DEGs using the STRING database. Then, we integrated the two kinds of machine-learning strategies to identify diagnostic biomarkers of top hub genes screened based on MCC and Degree methods. And the potential diagnostic performance of the biomarkers for ALF was estimated using the AUC values. Data from GSE14668, GSE74000, and GSE96851 databases was performed as external verification sets to validate the expression level of potential diagnostic biomarkers. Furthermore, we analyzed the difference in the protein level of diagnostic biomarkers between normal and ALF mice models. Finally, we used CIBERSORT to estimate relative infiltration levels of 22 immune cell subsets in ALF samples and further analyzed the relationships between the diagnostic biomarkers and infiltrated immune cells. Results: A total of 200 co-DEGs were screened. Enrichment analyses depicted that they are highly enriched in metabolism and matrix collagen production-associated processes. The top 28 hub genes were obtained by integrating MCC and Degree methods. Then, the collagen type IV alpha 2 chain (COL4A2) was regarded as the diagnostic biomarker and showed excellent specificity and sensitivity. COL4A2 also showed a statistically significant difference and excellent diagnostic effectiveness in the verification set. In addition, there was a significant upregulation in the COL4A2 protein level in ALF mice models compared with the normal group. CIBERSORT analysis showed that activated CD4 T cells, plasma cells, macrophages, and monocytes may be implicated in the progress of ALF. In addition, COL4A2 showed different degrees of correlation with immune cells. Conclusion: In conclusion, COL4A2 may be a diagnostic biomarker for ALF, and immune cell infiltration may have important implications for the occurrence and progression of ALF.
Collapse
Affiliation(s)
- Mengqin Yuan
- Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan, China
| | - Lichao Yao
- Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xue Hu
- Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yingan Jiang
- Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan, China
- *Correspondence: Lanjuan Li, ; Yingan Jiang,
| | - Lanjuan Li
- Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- *Correspondence: Lanjuan Li, ; Yingan Jiang,
| |
Collapse
|