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Hautz T, Hackl H, Gottschling H, Gronauer R, Hofmann J, Salcher S, Zelger B, Oberhuber R, Cardini B, Weissenbacher A, Resch T, Troppmair J, Schneeberger S. Transcriptomic signatures during normothermic liver machine perfusion correspond with graft quality and predict the early graft function. EBioMedicine 2024; 108:105330. [PMID: 39299005 PMCID: PMC11426134 DOI: 10.1016/j.ebiom.2024.105330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 08/22/2024] [Accepted: 08/28/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND A better understanding of the molecular events during liver normothermic machine perfusion (NMP) is warranted to develop a data-based approach for the identification of biomarkers representative of graft quality and posttransplant outcome. We analysed the dynamic transcriptional changes during NMP and linked them to clinical and biochemical parameters. METHODS 50 livers subjected to NMP for up to 24 h were enrolled. Bulk RNA sequencing was performed in serial biopsies collected pre and during NMP, and after reperfusion. Perfusate was sampled to monitor liver function. qPCR and immunohistochemistry were performed to validate findings. Molecular profiles were compared between transplanted and non-transplanted livers, and livers with and without early allograft dysfunction. FINDINGS Pathways related to immune and cell stress responses, cell trafficking and cell regulation were activated during NMP, while cellular metabolism was downregulated over time. Anti-inflammatory responses and genes involved in tissue remodelling were induced at later time-points, suggesting a counter-response to the immediate damage. NMP strongly induced a gene signature associated with ischemia-reperfusion injury. A 7-gene signature corresponds with the benchmarking criteria for transplantation or discard at 6 h NMP (area under curve 0.99). CD274 gene expression (encoding programmed cell-death ligand-1) showed the highest predictive value. LEAP2 gene expression at 6 h NMP correlated with impaired graft function. INTERPRETATION Assessment of gene expression markers could serve as a reliable tool to evaluate liver quality during NMP and predicts early graft function after transplantation. FUNDING The research was supported by "In Memoriam Dr. Gabriel Salzner Stiftung", Tiroler Wissenschaftsfond, Jubiläumsfonds-Österreichische Nationalbank and MUI Start grant.
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Affiliation(s)
- Theresa Hautz
- OrganLife Organ Regeneration Centre of Excellence and Daniel Swarovski Research Laboratory (DSL), Department of Visceral, Transplant and Thoracic Surgery, Centre of Operative Medicine, Medical University of Innsbruck, Anichstr. 35, A-6020, Innsbruck, Austria.
| | - Hubert Hackl
- Institute of Bioinformatics, Biocentre, Medical University of Innsbruck, Innrain 80/82, A-6020, Innsbruck, Austria
| | - Hendrik Gottschling
- OrganLife Organ Regeneration Centre of Excellence and Daniel Swarovski Research Laboratory (DSL), Department of Visceral, Transplant and Thoracic Surgery, Centre of Operative Medicine, Medical University of Innsbruck, Anichstr. 35, A-6020, Innsbruck, Austria
| | - Raphael Gronauer
- Institute of Bioinformatics, Biocentre, Medical University of Innsbruck, Innrain 80/82, A-6020, Innsbruck, Austria
| | - Julia Hofmann
- OrganLife Organ Regeneration Centre of Excellence and Daniel Swarovski Research Laboratory (DSL), Department of Visceral, Transplant and Thoracic Surgery, Centre of Operative Medicine, Medical University of Innsbruck, Anichstr. 35, A-6020, Innsbruck, Austria
| | - Stefan Salcher
- Department of Internal Medicine V, Haematology and Oncology, Comprehensive Cancer Centre Innsbruck (CCCI), Medical University of Innsbruck, Anichstr. 35, A-6020, Innsbruck, Austria
| | - Bettina Zelger
- Institute of Pathology, Medical University of Innsbruck, Muellerstr. 44, A-6020, Innsbruck, Austria
| | - Rupert Oberhuber
- OrganLife Organ Regeneration Centre of Excellence and Daniel Swarovski Research Laboratory (DSL), Department of Visceral, Transplant and Thoracic Surgery, Centre of Operative Medicine, Medical University of Innsbruck, Anichstr. 35, A-6020, Innsbruck, Austria
| | - Benno Cardini
- OrganLife Organ Regeneration Centre of Excellence and Daniel Swarovski Research Laboratory (DSL), Department of Visceral, Transplant and Thoracic Surgery, Centre of Operative Medicine, Medical University of Innsbruck, Anichstr. 35, A-6020, Innsbruck, Austria
| | - Annemarie Weissenbacher
- OrganLife Organ Regeneration Centre of Excellence and Daniel Swarovski Research Laboratory (DSL), Department of Visceral, Transplant and Thoracic Surgery, Centre of Operative Medicine, Medical University of Innsbruck, Anichstr. 35, A-6020, Innsbruck, Austria
| | - Thomas Resch
- OrganLife Organ Regeneration Centre of Excellence and Daniel Swarovski Research Laboratory (DSL), Department of Visceral, Transplant and Thoracic Surgery, Centre of Operative Medicine, Medical University of Innsbruck, Anichstr. 35, A-6020, Innsbruck, Austria
| | - Jakob Troppmair
- OrganLife Organ Regeneration Centre of Excellence and Daniel Swarovski Research Laboratory (DSL), Department of Visceral, Transplant and Thoracic Surgery, Centre of Operative Medicine, Medical University of Innsbruck, Anichstr. 35, A-6020, Innsbruck, Austria
| | - Stefan Schneeberger
- OrganLife Organ Regeneration Centre of Excellence and Daniel Swarovski Research Laboratory (DSL), Department of Visceral, Transplant and Thoracic Surgery, Centre of Operative Medicine, Medical University of Innsbruck, Anichstr. 35, A-6020, Innsbruck, Austria
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2
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Giraudi PJ, Laraño AA, Monego SD, Pravisani R, Bonazza D, Gondolesi G, Tiribelli C, Baralle F, Baccarani U, Licastro D. Genome-wide DNA methylation and transcriptomic analysis of liver tissues subjected to early ischemia/reperfusion injury upon human liver transplantation. Ann Hepatol 2024; 29:101506. [PMID: 38710471 DOI: 10.1016/j.aohep.2024.101506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 03/11/2024] [Accepted: 03/27/2024] [Indexed: 05/08/2024]
Abstract
INTRODUCTION AND OBJECTIVES Epigenetic changes represent a mechanism connecting external stresses with long-term modifications of gene expression programs. In solid organ transplantation, ischemia-reperfusion injury (IRI) appears to induce epigenomic changes in the graft, although the currently available data are extremely limited. The present study aimed to characterize variations in DNA methylation and their effects on the transcriptome in liver transplantation from brain-dead donors. PATIENTS AND METHODS 12 liver grafts were evaluated through serial biopsies at different timings in the procurement-transplantation process: T0 (warm procurement, in donor), T1 (bench surgery), and T2 (after reperfusion, in recipient). DNA methylation (DNAm) and transcriptome profiles of biopsies were analyzed using microarrays and RNAseq. RESULTS Significant variations in DNAm were identified, particularly between T2 and T0. Functional enrichment of the best 1000 ranked differentially methylated promoters demonstrated that 387 hypermethylated and 613 hypomethylated promoters were involved in spliceosomal assembly and response to biotic stimuli, and inflammatory immune responses, respectively. At the transcriptome level, T2 vs. T0 showed an upregulation of 337 and downregulation of 61 genes, collectively involved in TNF-α, NFKB, and interleukin signaling. Cell enrichment analysis individuates macrophages, monocytes, and neutrophils as the most significant tissue-cell type in the response. CONCLUSIONS In the process of liver graft procurement-transplantation, IRI induces significant epigenetic changes that primarily act on the signaling pathways of inflammatory responses dependent on TNF-α, NFKB, and interleukins. Our DNAm datasets are the early IRI methylome literature and will serve as a launch point for studying the impact of epigenetic modification in IRI.
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Affiliation(s)
- Pablo J Giraudi
- Metabolic Liver Disease Unit, Fondazione Italiana Fegato, Trieste, Italy.
| | - Allen A Laraño
- Metabolic Liver Disease Unit, Fondazione Italiana Fegato, Trieste, Italy; Research Institute for Tropical Medicine, Department of Health, Muntinlupa City, Philippines
| | | | - Riccardo Pravisani
- Liver-Kidney Transplant Unit, Department of Medicine, University of Udine, Italy
| | - Deborah Bonazza
- Anatomia ed Istologia Patologica, Cattinara Hospital, ASUGI, Trieste, Italy
| | - Gabriel Gondolesi
- Instituto de Medicina Traslacional, Trasplante y Bioingeniería, Universidad Favaloro, Buenos Aires, Argentina
| | - Claudio Tiribelli
- Metabolic Liver Disease Unit, Fondazione Italiana Fegato, Trieste, Italy
| | - Francisco Baralle
- Metabolic Liver Disease Unit, Fondazione Italiana Fegato, Trieste, Italy
| | - Umberto Baccarani
- Liver-Kidney Transplant Unit, Department of Medicine, University of Udine, Italy
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3
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Ma Y, Wang C, Xu G, Yu X, Fang Z, Wang J, Li M, Kulaixi X, Ye J. Transcriptional changes in orthotopic liver transplantation and ischemia/reperfusion injury. Transpl Immunol 2022; 74:101638. [PMID: 35667543 DOI: 10.1016/j.trim.2022.101638] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/29/2022] [Accepted: 05/31/2022] [Indexed: 02/07/2023]
Abstract
Background There are few effective targeting strategies to reduce liver ischemia-reperfusion injury (IRI), which is one of the reasons for the poor prognosis of liver transplant recipients. Methods A systematic approach combining gene expression with protein interaction (PPI) network was used to screen the characteristic genes and related biological functions of post-transplant. Differentially expressed genes (DEGs) between IRI+ and IRI- were identified. Logistic regression model and receiver operating characteristic (ROC) curve were used to identify potential target genes of IRI. The expression of key genes was verified by qRT-PCR and Western-blot experiments. Finally, the ssGSEA was used to identify the immune cell infiltration in patients with IRI. Results The 283 common DEGs in GSE87487 and GSE151648 were mainly related to apoptosis and IL-17 signaling pathway. Through PPI network and logistic regression analysis, we identified that IL6, CCL2 and CXCL8 may be involved in the ischemia/reperfusion (IR) process. In addition, 32 genes were showed associated with IRI through inflammatory and metabolic pathways. Among the key genes identified, the differential expression of AGBL4, CILP2 and IL4I1 was verified by molecular experiments. Th17 cells of differentially infiltrated immune cells were positively correlated with CILP2 and IL4I1. The difference of Th17 cells between IRI+ and IRI- was verified by flow cytometry. Conclusion The study showed that AGBL4, CILP2 and IL4I1 were associated with IRI. Th17 cells may be associated with the regulation of IRI by key genes. These genes and related pathways may be targets for improving IRI.
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Affiliation(s)
- Yan Ma
- Department of Anesthesiology, The First Affiliated Hospital of Xinjiang Medical University, Xinyi, road, Xinshi district, Urumqi, 830054, China
| | - Chunsheng Wang
- Department of Anesthesiology, The First Affiliated Hospital of Xinjiang Medical University, Xinyi, road, Xinshi district, Urumqi, 830054, China.; Department of Anesthesiology, The First Affiliated Hospital of Xinjiang Medical University, Xinyi, road, Xinshi district, Urumqi, 830054, China
| | - Guiping Xu
- Department of Anesthesiology, People's Hospital of Xinjiang Uygur Autonomous Region, Tianchi Road, Tianshan District, Urumqi 830000, China
| | - Xiaodong Yu
- Department of Anesthesiology, The First Affiliated Hospital of Xinjiang Medical University, Xinyi, road, Xinshi district, Urumqi, 830054, China
| | - Zhiyuan Fang
- Xinjiang Medical University, Xinshi District, Urumqi, 830011, China
| | - Jialing Wang
- Xinjiang Medical University, Xinshi District, Urumqi, 830011, China
| | - Meng Li
- Xinjiang Medical University, Xinshi District, Urumqi, 830011, China
| | | | - Jianrong Ye
- Department of Anesthesiology, The First Affiliated Hospital of Xinjiang Medical University, Xinyi, road, Xinshi district, Urumqi, 830054, China..
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Lawrence MC, Darden CM, Vasu S, Kumano K, Gu J, Wang X, Chan J, Xu Z, Lemoine BF, Nguyen P, Smitherman C, Naziruddin B, Testa G. Profiling Gene Programs in the Blood During Liver Regeneration in Living Liver Donors. Liver Transpl 2019; 25:1541-1560. [PMID: 31340088 DOI: 10.1002/lt.25608] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 07/17/2019] [Indexed: 02/07/2023]
Abstract
The human liver's capacity to rapidly regenerate to a full-sized functional organ after resection has allowed successful outcomes for living donor liver transplantation (LDLT) procedures. However, the ability to detect and track physiological changes occurring during liver regeneration after resection and throughout the restoration process is still lacking. We performed a comprehensive whole-transcriptome RNA sequencing analysis of liver and circulating blood tissue from 12 healthy LDLT donors to define biomarker signatures for monitoring physiological activities during liver regeneration at 14 time points for up to a 1-year procedural follow-up. LDLT donor liver tissue differentially expressed 1238 coding and noncoding genes after resection, and an additional 1260 genes were selectively regulated after LDLT. A total of 15,011 RNA transcript species were identified in the blood in response to liver resection. The transcripts most highly regulated were sequentially expressed within 3 distinct peaks that correlated with sets of functional genes involved in the induction of liver resection-specific innate immune response (peak 1), activation of the complement system (peak 2), and platelet activation and erythropoiesis (peak 3). Each peak corresponded with progressive phases of extracellular matrix degradation, remodeling, and organization during liver restoration. These processes could be tracked by distinct molecular signatures of up-regulated and down-regulated gene profiles in the blood during phases of liver repair and regeneration. In conclusion, the results establish temporal and dynamic transcriptional patterns of gene expression following surgical liver resection that can be detected in the blood and potentially used as biomarker signatures for monitoring phases of liver regeneration.
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Affiliation(s)
| | - Carly M Darden
- Institute of Biomedical Studies, Baylor University, Waco, TX
| | | | | | - Jinghua Gu
- Baylor Scott & White Research Institute, Dallas, TX
| | - Xuan Wang
- Baylor Scott & White Research Institute, Dallas, TX
| | - Jinyan Chan
- Baylor Scott & White Research Institute, Dallas, TX
| | - Zhaohui Xu
- Baylor Scott & White Research Institute, Dallas, TX
| | | | | | | | - Bashoo Naziruddin
- Annette C. and Harold C. Simmons Transplant Institute, Baylor University Medical Center, Dallas, TX
| | - Giuliano Testa
- Annette C. and Harold C. Simmons Transplant Institute, Baylor University Medical Center, Dallas, TX
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MacParland SA, Liu JC, Ma XZ, Innes BT, Bartczak AM, Gage BK, Manuel J, Khuu N, Echeverri J, Linares I, Gupta R, Cheng ML, Liu LY, Camat D, Chung SW, Seliga RK, Shao Z, Lee E, Ogawa S, Ogawa M, Wilson MD, Fish JE, Selzner M, Ghanekar A, Grant D, Greig P, Sapisochin G, Selzner N, Winegarden N, Adeyi O, Keller G, Bader GD, McGilvray ID. Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations. Nat Commun 2018; 9:4383. [PMID: 30348985 PMCID: PMC6197289 DOI: 10.1038/s41467-018-06318-7] [Citation(s) in RCA: 840] [Impact Index Per Article: 140.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 08/24/2018] [Indexed: 12/02/2022] Open
Abstract
The liver is the largest solid organ in the body and is critical for metabolic and immune functions. However, little is known about the cells that make up the human liver and its immune microenvironment. Here we report a map of the cellular landscape of the human liver using single-cell RNA sequencing. We provide the transcriptional profiles of 8444 parenchymal and non-parenchymal cells obtained from the fractionation of fresh hepatic tissue from five human livers. Using gene expression patterns, flow cytometry, and immunohistochemical examinations, we identify 20 discrete cell populations of hepatocytes, endothelial cells, cholangiocytes, hepatic stellate cells, B cells, conventional and non-conventional T cells, NK-like cells, and distinct intrahepatic monocyte/macrophage populations. Together, our study presents a comprehensive view of the human liver at single-cell resolution that outlines the characteristics of resident cells in the liver, and in particular provides a map of the human hepatic immune microenvironment. The development of single cell RNA sequencing technologies has been instrumental in advancing our understanding of tissue biology. Here, MacParland et al. performed single cell RNA sequencing of human liver samples, and identify distinct populations of intrahepatic macrophages that may play specific roles in liver disease.
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Affiliation(s)
- Sonya A MacParland
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada. .,Department of Immunology, University of Toronto, Toronto, ON, M5S 1A8, Canada. .,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, M5G 1L7, Canada.
| | - Jeff C Liu
- The Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
| | - Xue-Zhong Ma
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Brendan T Innes
- The Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, M5G 1A8, Canada
| | - Agata M Bartczak
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Blair K Gage
- McEwen Centre for Regenerative Medicine, University Health Network, Toronto, ON, M5G 1L7, Canada
| | - Justin Manuel
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Nicholas Khuu
- Princess Margaret Genomics Centre, University Health Network, Toronto, ON, M5G 1L7, Canada
| | - Juan Echeverri
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Ivan Linares
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Rahul Gupta
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Michael L Cheng
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, M5G 1L7, Canada
| | - Lewis Y Liu
- Department of Immunology, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Damra Camat
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Sai W Chung
- Department of Immunology, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Rebecca K Seliga
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Zigong Shao
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Elizabeth Lee
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Shinichiro Ogawa
- McEwen Centre for Regenerative Medicine, University Health Network, Toronto, ON, M5G 1L7, Canada
| | - Mina Ogawa
- McEwen Centre for Regenerative Medicine, University Health Network, Toronto, ON, M5G 1L7, Canada
| | - Michael D Wilson
- Department of Molecular Genetics, University of Toronto, Toronto, M5G 1A8, Canada.,Genetics and Genome Biology, Hospital for Sick Children, Toronto, M5G 0A4, Canada
| | - Jason E Fish
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, M5G 1L7, Canada.,Division of Advanced Diagnostics, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Markus Selzner
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Anand Ghanekar
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - David Grant
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Paul Greig
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Gonzalo Sapisochin
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Nazia Selzner
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada
| | - Neil Winegarden
- Princess Margaret Genomics Centre, University Health Network, Toronto, ON, M5G 1L7, Canada
| | - Oyedele Adeyi
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, M5G 1L7, Canada.,Laboratory Medicine Program, University Health Network, Toronto, Ontario, M5G 1L7, Canada
| | - Gordon Keller
- McEwen Centre for Regenerative Medicine, University Health Network, Toronto, ON, M5G 1L7, Canada.,Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, M5G 1L7, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada
| | - Gary D Bader
- The Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada. .,Department of Molecular Genetics, University of Toronto, Toronto, M5G 1A8, Canada.
| | - Ian D McGilvray
- Multi-Organ Transplant Program, Toronto General Hospital Research Institute, Toronto, ON, M5G 2C4, Canada.
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6
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Song JL, Yang J, Yan LN, Yang JY, Wen TF, Li B, Zeng Y, Wu H, Wang WT, Xu MQ, Chen ZY, Wei YG, Jiang L. A new index predicts early allograft dysfunction following living donor liver transplantation: A propensity score analysis. Dig Liver Dis 2017; 49:1225-1232. [PMID: 28750872 DOI: 10.1016/j.dld.2017.06.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Revised: 06/08/2017] [Accepted: 06/12/2017] [Indexed: 01/10/2023]
Abstract
OBJECTIVE/AIM The aim of this study was to identify a new index to predict early allograft dysfunction following living donor liver transplantation. METHODS The study enrolled 260 adult living donor liver transplantation recipients. Postoperative laboratory variables were assessed for their association with the prevalence of early allograft dysfunction using the inverse probability of treatment weighting and propensity-score matching (n=93 pairs) analysis. RESULTS Forty-seven recipients (18.1%) developed early allograft dysfunction. In multivariable analysis, the alanine aminotransferase and gamma-glutamyl transpeptidase levels on postoperative day 1 were independent predictors of early allograft dysfunction. The alanine aminotransferase to gamma-glutamyl transpeptidase ratio (AGR) was developed. All cases were divided into two groups (Group 1 [AGR≥8.47, n=103] and Group 2 [AGR<8.47, n=157]). AGR≥8.47 (OR 10.345, 95%CI 4.502-23.772, p<0.001), hepatorenal syndrome (OR 3.016, 95%CI 1.119-8.125, p=0.029), and graft to recipient weight ratio <0.8% (OR 2.155, 95%CI 1.004-4.624, p=0.049) were independent risk factors for early allograft dysfunction. The prevalence of early allograft dysfunction was higher in group 1 (after adjusting for inverse probability of treatment weighting [n=39; 37.9% vs n=8; 5.1%] and propensity-score matching [n=33; 35.5% vs n=2; 2.2%]) than that in group 2 (p<0.001). CONCLUSIONS The postoperative AGR is a practical index for predicting early allograft dysfunction after living donor liver transplantation.
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Affiliation(s)
- Jiu-Lin Song
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Jian Yang
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Lu-Nan Yan
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Jia-Yin Yang
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Tian-Fu Wen
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Bo Li
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Yong Zeng
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Hong Wu
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Wen-Tao Wang
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Ming-Qing Xu
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Zhe-Yu Chen
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Yong-Gang Wei
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Li Jiang
- Liver Transplantation Center, Department of Liver Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
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7
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Global MicroRNA Expression Profiling of Mouse Livers following Ischemia-Reperfusion Injury at Different Stages. PLoS One 2016; 11:e0148677. [PMID: 26859886 PMCID: PMC4747576 DOI: 10.1371/journal.pone.0148677] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2015] [Accepted: 01/20/2016] [Indexed: 11/21/2022] Open
Abstract
Hepatic ischemia-reperfusion injury is a dynamic process consisting of two stages: ischemia and reperfusion, and triggers a cascade of physiological and biochemical events. Given the important role of microRNAs in regulating gene expression, we analyzed gene expression changes in mouse livers at sham control, ischemia stage, and reperfusion stage. We generated global expression profiles of microRNA and mRNA genes in mouse livers subjected to ischemia-reperfusion injury at the three stages, respectively. Comparison analysis showed that reperfusion injury had a distinct expression profile whereas the ischemia sample and the sham control were clustered together. Consistently, there are 69 differentially expressed microRNAs between the reperfusion sample and the sham control whereas 28 differentially expressed microRNAs between the ischemia sample and the sham control. We further identified two modes of microRNA expression changes in ischemia-reperfusion injury. Functional analysis of both the differentially expressed microRNAs in the two modes and their target mRNAs revealed that ischemia injury impaired mitochondrial function, nutrient consumption, and metabolism process. In contrast, reperfusion injury led to severe tissue inflammation that is predominantly an innate-immune response in the ischemia-reperfusion process. Our staged analysis of gene expression profiles provides new insights into regulatory mechanisms of microRNAs in mouse hepatic IR injury.
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8
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Kurian SM, Fouraschen SMG, Langfelder P, Horvath S, Shaked A, Salomon DR, Olthoff KM. Genomic profiles and predictors of early allograft dysfunction after human liver transplantation. Am J Transplant 2015; 15:1605-14. [PMID: 25828101 DOI: 10.1111/ajt.13145] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Revised: 11/09/2014] [Accepted: 12/03/2014] [Indexed: 02/06/2023]
Abstract
Early hepatic allograft dysfunction (EAD) manifests posttransplantation with high serum transaminases, persistent cholestasis, and coagulopathy. The biological mechanisms are poorly understood. This study investigates the molecular mechanisms involved in EAD and defines a gene expression signature revealing different biological pathways in subjects with EAD from those without EAD, a potential first step in developing a molecular classifier as a potential clinical diagnostic. Global gene expression profiles of 30 liver transplant recipients of deceased donor grafts with EAD and 26 recipients without graft dysfunction were investigated using microarrays of liver biopsies performed at the end of cold storage and after graft reperfusion prior to closure. Results reveal a shift in inflammatory and metabolic responses between the two time points and differences between EAD and non-EAD. We identified relevant pathways (PPARα and NF-κB) and targets (such as CXCL1, IL1, TRAF6, TIPARP, and TNFRSF1B) associated with the phenotype of EAD. Preliminary proof of concept gene expression classifiers that distinguish EAD from non-EAD patients, with Area Under the Curve (AUC) >0.80 were also identified. This data may have mechanistic and diagnostic implications for EAD.
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Affiliation(s)
- S M Kurian
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA
| | - S M G Fouraschen
- Penn Transplant Institute, Department of Surgery, University of Pennsylvania, Philadelphia, PA.,Department of Surgery and Laboratory of Experimental Transplantation and Intestinal Surgery, Erasmus MC-University Medical Center, Rotterdam, the Netherlands
| | - P Langfelder
- Department of Human Genetics, University of California, Los Angeles, CA
| | - S Horvath
- Department of Human Genetics, University of California, Los Angeles, CA
| | - A Shaked
- Penn Transplant Institute, Department of Surgery, University of Pennsylvania, Philadelphia, PA
| | - D R Salomon
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA
| | - K M Olthoff
- Penn Transplant Institute, Department of Surgery, University of Pennsylvania, Philadelphia, PA
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9
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Zhang C, Yang G, Lu D, Ling Y, Chen G, Zhou T. Expression of vascular endothelial growth factor and basic fibroblast growth factor in acute rejection reaction following rat orthotopic liver transplantation. Exp Ther Med 2014; 8:483-487. [PMID: 25009605 PMCID: PMC4079407 DOI: 10.3892/etm.2014.1779] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2014] [Accepted: 06/04/2014] [Indexed: 12/20/2022] Open
Abstract
The aim of the present study was to investigate the expression levels of vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF) in acute rejection reaction (ARR) following orthotopic liver transplantation in a rat model. Serum VEGF and bFGF levels were detected using ELISA, and their expression levels in liver and spleen tissues were determined using immunohistochemistry. The mRNA expression levels of VEGF and bFGF were detected by conducting a quantitative polymerase chain reaction during the ARR following orthotopic liver transplantation. The expression levels of VEGF and bFGF in the serum 3 days following liver transplantation were significantly higher compared with those in the other groups (1 and 7 days following transplantation; P<0.01). In addition, the numbers of cells in the liver tissue that were shown to be positive for the expression VEGF and bFGF using immunohistochemistry were significantly higher 3 days following transplantation than at the other time points (P<0.0001). Furthermore, the numbers of cells positive for VEGF and bFGF expression in the spleen detected 3 days following the transplantation surgery were also significantly higher compared with those at the other time points (P<0.01). VEGF and bFGF mRNA expression levels were also increased from 1 day following the surgery and reached a peak at day 3, prior to declining gradually and remaining at a relatively high level. VEGF and bFGF mRNA expression levels changed dynamically, by peaking and then declining, in ARR following orthotopic liver transplantation. These changes may have an important impact on angiogenesis and the inflammatory reaction, and the identification of these changes increases the current understanding of ARR following orthotopic liver transplantation.
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Affiliation(s)
- Changsong Zhang
- Clinical Oncology Laboratory, Changzhou Tumor Hospital, Medical College of Soochow University, Changzhou, Jiangsu 213002, P.R. China
| | - Guangshun Yang
- Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai 200438, P.R. China
| | - Dewen Lu
- The Affiliated Yinzhou Hospital, Ningbo University School of Medicine, Ningbo, Zhejiang 315040, P.R. China
| | - Yang Ling
- Clinical Oncology Laboratory, Changzhou Tumor Hospital, Medical College of Soochow University, Changzhou, Jiangsu 213002, P.R. China
| | - Guihua Chen
- Hepatic Surgery Center, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510630, P.R. China
| | - Tianbao Zhou
- Hepatobiliary Surgery Centre, Ningbo No. 2 Hospital, Ningbo, Zhejiang 315010, P.R. China
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10
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Hashmi SK, Baranov E, Gonzalez A, Olthoff K, Shaked A. Genomics of liver transplant injury and regeneration. Transplant Rev (Orlando) 2014; 29:23-32. [PMID: 24746681 DOI: 10.1016/j.trre.2014.01.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2013] [Accepted: 01/19/2014] [Indexed: 12/21/2022]
Abstract
While improved surgical techniques, post-operative care, and immunosuppression regimens have reduced morbidity and mortality associated with orthotopic liver transplantation (OLT), further improvement of outcomes requires personalized treatment and a better understanding of genomic mechanisms involved. Gene expression profiles of ischemia/reperfusion (I/R) injury, regeneration, and rejection, may suggest mechanisms for development of better predictive tools and treatments. The liver is unique in its regenerative potential, recovering lost mass and function after injury from ischemia, resection, and rejection. I/R injury, an inevitable consequence of perfusion cessation, cold storage, and reperfusion, is regulated by the interaction of the immune system, inflammatory cytokines, and reduced microcirculatory blood flow in the liver. Rejection, a common post-operative complication, is mediated by the recipient's immune system through T-cell-dependent responses activating proinflammatory and apoptotic pathways. Characterizing distinctive gene expression signatures for these events can identify therapies to reduce injury, promote regeneration, and improve outcomes. While certain markers of liver injury and regeneration have been observed in animals, many of these are unverified in human studies. Further investigation of these genomic signatures and mechanisms through new technology offers promise, but continues to pose a significant challenge. An overview of the current fund of knowledge in this area is reviewed.
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Affiliation(s)
- Sohaib Khalid Hashmi
- Penn Transplant Institute, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Esther Baranov
- Penn Transplant Institute, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Ana Gonzalez
- Penn Transplant Institute, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Kim Olthoff
- Penn Transplant Institute, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
| | - Abraham Shaked
- Penn Transplant Institute, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
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11
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Regulation of molecular pathways in ischemia-reperfusion injury after liver transplantation. Transplantation 2014; 96:926-34. [PMID: 23985720 DOI: 10.1097/tp.0b013e3182a20398] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Ischemia-reperfusion (I/R) injury is a multifactorial phenomenon that occurs during the transplant event and frequently compromises early graft function after liver transplantation (LT). Current comprehension of molecular mechanisms and regulation processes of I/R injury lacks clarity. MicroRNA (miRNA) regulation results critical in several biological processes. METHODS This study evaluated gene expression and miRNA expression profiles using microarrays in 34 graft biopsies collected at preimplantation (L1) and at 90 min postreperfusion (L2) from consecutives deceased-donor LT recipients. miRNA profiles were first analyzed. Data integration analysis (gene expression/miRNA expression) aimed to identify potential target genes for each identified miRNA from the L1/L2 differential gene expression profile. RESULTS Pairwise comparison analyses identified 40 miRNAs and 3168 significantly differentially expressed genes at postreperfusion time compared with preimplantation time. Pathway analysis of miRNAs associated these profiles with antiapoptosis, inhibition of cellular proliferation, and proinflammatory processes. Target analysis identified an miRNA-associated molecular profile of 2172 genes involved in cellular growth and proliferation modulation by cell cycle regulation, cell death and survival, and proinflammatory and anti-inflammatory processes. miRNA-independent genes involved proinflammatory molecules. CONCLUSION We identified a miRNA profile involved in posttranscriptional regulatory mechanisms in I/R injury post-LT. A better understanding of these molecular processes involved in I/R may contribute to develop new strategies to minimize graft injury.
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12
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Molecular transplantation pathology: the interface between molecules and histopathology. Curr Opin Organ Transplant 2013; 18:354-62. [PMID: 23619514 DOI: 10.1097/mot.0b013e3283614c90] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
PURPOSE OF REVIEW In the last decade, high-throughput molecular screening methods have revolutionized the transplantation research. This article reviews the new knowledge that has emerged from transplant patient sample-derived 'omics data by examining the interface between molecular signals and allograft pathology. RECENT FINDINGS State-of-the-art molecular studies have shed light on the biology of organ transplant diseases and provided several potential molecular tests with diagnostic, prognostic, and theranostic applications for the implementation of personalized medicine in transplantation. By comprehensive molecular profiling of patient samples, we have learned numerous new insights into the effector mechanisms and parenchymal response during allograft diseases. It has become evident that molecular profiles are coordinated and move in patterns similar to histopathology lesions, and therefore lack qualitative specificity. However, molecular tests can empower precision diagnosis and prognostication through their objective and quantitative manner when they are integrated in a holistic approach with histopathology and clinical factors of patients. SUMMARY Despite clever science and large amounts of public money invested in transplant 'omics studies, multiparametric molecular testing has not yet been translated to patient care. There are serious challenges in the implementation of transplant molecular diagnostics that have increased frustration in transplant community. We appeal for a full collaboration between pathologists and researchers to accelerate transition from research to clinical practice in transplantation.
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13
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Quintini C, Hashimoto K, Uso TD, Miller C. Is there an advantage of living over deceased donation in liver transplantation? Transpl Int 2012; 26:11-9. [PMID: 22937787 DOI: 10.1111/j.1432-2277.2012.01550.x] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Living donor liver transplantation (LDLT) is a well-established strategy to decrease the mortality in the waiting list and recent studies have demonstrated its value even in patients with low MELD score. However, LDLT is still under a high level of scrutiny because of its technical complexity and ethical challenges as demonstrated by a decline in the number of procedures performed in the last decade in Western Countries. Many aspects make LDLT different from deceased donor liver transplantation, including timing of transplantation, procedure-related complications as well as immunological factors that may affect graft outcomes. Our review suggests that in selected cases, LDLT offers significant advantages over deceased donor liver transplantation and should be used more liberally.
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14
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Farahat O, Salah M, Mokhtar A, Abouelfetoh F, Labib D, Baz H. The Association of Promoter Gene Polymorphisms of the Tumor Necrosis Factor-α and Interleukin-10 with Severity of Lactic Acidosis During Liver Transplantation Surgery. Transplant Proc 2012; 44:1307-13. [DOI: 10.1016/j.transproceed.2012.01.134] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2011] [Revised: 12/21/2011] [Accepted: 01/31/2012] [Indexed: 11/28/2022]
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15
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Zhou TB, Yang GS. Roles of vascular endothelial growth factor in acute rejection reaction following liver transplantation. Transpl Immunol 2011; 25:207-9. [PMID: 21856421 DOI: 10.1016/j.trim.2011.08.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2011] [Accepted: 08/05/2011] [Indexed: 12/20/2022]
Abstract
The presently known cytokines that participate in acute rejection of organ transplantation include four categories by order of function: inflammatory cytokines, immunospecific cytokines, inflammatory cell activating cytokines and growth cytokines. Of them, growth cytokines that directly induce division, proliferation and migration of endothelial cells mainly include the vascular endothelial growth factor (VEGF) family and the fibroblast growth factor (FGF) family [1]. Recent studies [2] showed that interactions and time overlap of inflammatory cell infiltration and angiogenesis are the main mechanisms that induce acute rejection (AR) following organ transplantation, which has been demonstrated by the clinical fact that AR symptoms after liver transplantation could only be relieved by combination use of drugs for improving micro vessels and those for improving micro bile ducts. This article is a review of VEGF that mediates inflammatory cell infiltration and angiogenesis in the portal area [3].
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Affiliation(s)
- Tian-Bao Zhou
- The Hepatic Surgery Center, The Affiliated Ningbo No. 2 Hospital, Ningbo University School of Medicine, Ningbo, China.
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16
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Jun N, Ke J, Gang C, Lin C, Jinsong L, Jianjun W. The Protective Effect of Ischemic Preconditioning Associated with Altered Gene Expression Profiles in Rat Lung after Reperfusion. J Surg Res 2011; 168:281-93. [DOI: 10.1016/j.jss.2009.10.020] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2009] [Revised: 09/30/2009] [Accepted: 10/14/2009] [Indexed: 11/26/2022]
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17
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Holweg CTJ, Potena L, Luikart H, Yu T, Berry GJ, Cooke JP, Valantine HA, Mocarski ES. Identification and classification of acute cardiac rejection by intragraft transcriptional profiling. Circulation 2011; 123:2236-43. [PMID: 21555702 DOI: 10.1161/circulationaha.109.913921] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Treatment of acute rejection (AR) in heart transplantation relies on histopathological grading of endomyocardial biopsies according to International Society for Heart and Lung Transplantation guidelines. Intragraft gene expression profiling may be a way to complement histological evaluation. METHODS AND RESULTS Transcriptional profiling was performed on 26 endomyocardial biopsies, and expression patterns were compared with the 1990 International Society for Heart and Lung Transplantation AR grades. Importantly, transcriptional profiles from settings with an equivalent AR grade appeared the same. In addition, grade 0 profiles could not be distinguished from 1A profiles, and grade 3A profiles could not be distinguished from 3B profiles. Comparing the AR groupings (0+1A, 1B, and 3A+3B), 0+1A showed more striking differences from 1B than from 3A+3B. When these findings were extrapolated to the 2005 revised guidelines, the combination of 1A and 1B into a single category (1R) appears to have brought together endomyocardial biopsies with different underlying processes that are not evident from histological evaluation. Grade 1B was associated with upregulated immune response genes, as 1 categorical distinction from grade 1A. Although grade 1B was distinct from the clinically relevant AR grades 3A and 3B, all of these grades shared a small number of overlapping pathways consistent with common physiological underpinnings. CONCLUSION The gene expression similarities and differences identified here in different AR settings have the potential to revise the clinical perspective on acute graft rejection, pending the results of larger studies.
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Affiliation(s)
- Cécile T J Holweg
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
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18
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Transcriptional signatures in donor lungs from donation after cardiac death vs after brain death: A functional pathway analysis. J Heart Lung Transplant 2011; 30:289-98. [DOI: 10.1016/j.healun.2010.09.004] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2010] [Revised: 08/22/2010] [Accepted: 09/02/2010] [Indexed: 11/17/2022] Open
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19
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Pezacki JP, Singaravelu R, Lyn RK. Host-virus interactions during hepatitis C virus infection: a complex and dynamic molecular biosystem. MOLECULAR BIOSYSTEMS 2010; 6:1131-42. [PMID: 20549003 DOI: 10.1039/b924668c] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
The hepatitis C virus (HCV) is a global health issue with no vaccine available and limited clinical treatment options. Like other obligate parasites, HCV requires host cellular components of an infected individual to propagate. These host-virus interactions during HCV infection are complex and dynamic and involve the hijacking of host cell environments, enzymes and pathways. Understanding this unique molecular biosystem has the potential to yield new and exciting strategies for therapeutic intervention. Advances in genomics and proteomics have opened up new possibilities for the rapid measurement of global changes at the transcriptional and translational levels during infection. However, these techniques only yield snapshots of host-virus interactions during HCV infection. Other new methods that involve the imaging of biomolecular interactions during HCV infection are required to identify key interactions that may be transient and dynamic. Herein we highlight systems biology based strategies that have helped to identify key host-virus interactions during HCV replication and infection. Novel biophysical tools are also highlighted for identification and visualization of activities and interactions between HCV and its host hepatocyte. As some of these methods mature, we expect them to pave the way forward for further exploration of this complex biosystem and elucidation of mechanisms for HCV pathogenesis and carcinogenesis.
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Affiliation(s)
- John Paul Pezacki
- Steacie Institute for Molecular Sciences, National Research Council of Canada, 100 Sussex Dr., Ottawa, Ontario, Canada.
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20
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21
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Chen L, Borozan I, Sun J, Guindi M, Fischer S, Feld J, Anand N, Heathcote J, Edwards AM, McGilvray ID. Cell-type specific gene expression signature in liver underlies response to interferon therapy in chronic hepatitis C infection. Gastroenterology 2010; 138:1123-33.e1-3. [PMID: 19900446 DOI: 10.1053/j.gastro.2009.10.046] [Citation(s) in RCA: 91] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2009] [Revised: 10/01/2009] [Accepted: 10/29/2009] [Indexed: 02/06/2023]
Abstract
BACKGROUND & AIMS Chronic hepatitis C virus (CHC) infection is treated with interferon/ribavirin, but only a subset of patients respond. Treatment nonresponders have marked pretreatment up-regulation of a subset of interferon stimulated genes (ISGs) in their livers, including ISG15. We here study how the nonresponder gene expression phenotype is influenced by clinical factors and uncover the cellular basis of the phenotype through ISG15 protein expression. METHODS Seventy-eight CHC patients undergoing treatment were classified by clinical (gender, viral genotype, viral load, treatment outcome) and histologic (inflammation, fibrosis) factors and subjected to gene expression profiling on their pretreatment liver biopsies. An analysis of variance model was used to study the influence of individual factors on gene expression. ISG15 immunohistochemistry was performed on a subset of 31 liver biopsy specimens. RESULTS One hundred twenty-three genes were differentially expressed in the 78 CHC livers when compared with 20 normal livers (P < .001; fold change, > or =1.5-fold). Of genes influenced by a single factor, genotype (1 vs 2/3) influenced more genes (17) than any other variable; when treatment outcome was included in the analysis, this became the predominant influence (24 genes), and the effect of genotype was diminished. Treatment response was linked to cell-specific activation patterns: ISG15 protein up-regulation was more pronounced in hepatocytes in treatment nonresponders but in Kuppfer cells in responders. CONCLUSIONS Genotype is a surrogate marker for the nonresponder phenotype. This phenotype manifests as differential gene expression and is driven by activation of different cell types: hepatocytes in treatment nonresponders and macrophages in treatment responders.
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Affiliation(s)
- Limin Chen
- Banting and Best Department of Medical Research, University of Toronto, Toronto, Ontario, Canada
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22
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Jassem W, Fuggle S, Thompson R, Arno M, Taylor J, Byrne J, Heaton N, Rela M. Effect of ischemic preconditioning on the genomic response to reperfusion injury in deceased donor liver transplantation. Liver Transpl 2009; 15:1750-65. [PMID: 19938126 DOI: 10.1002/lt.21936] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Ischemic preconditioning (IP) is an effective method for protecting organs from ischemia/reperfusion (IR) injury; however, the molecular basis of this protective effect is poorly understood. This study assessed the gene expression profile in liver allografts during transplantation and evaluated the impact of IP. Prereperfusion and postreperfusion biopsy specimens from livers subjected to IP (n = 19) or no preconditioning (the IR group; n = 16) were obtained. Total RNA was extracted and hybridized to GeneChip microarrays, and the findings were validated with real-time quantitative reverse-transcription polymerase chain reaction (qRT-PCR). IP livers showed less of an increase in aspartate aminotransferase after transplantation. A microarray analysis of the IR group showed increased expression of 57 genes mainly involved in cell death, inflammation and immune response, stress, and modulation of the cell cycle. The IP group showed attenuation of the expression of these genes after reperfusion. Additionally, IP led to increased expression of 43 genes involved in growth and maintenance, cell-cycle regulation, proliferation, and development. The expression of the 12 most significant genes was validated in all patients with real-time qRT-PCR, and the fold changes of a number of genes correlated with clinical parameters and graft outcomes. IP protection of liver allografts was associated with a reduction in the expression of immune response genes and promotion of those involved in protection and repair.
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Affiliation(s)
- Wayel Jassem
- Liver Transplant Unit, Institute of Liver Studies, King's College Hospital, London, United Kingdom
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23
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Association of MicroRNA-223 expression with hepatic ischemia/reperfusion injury in mice. Dig Dis Sci 2009; 54:2362-6. [PMID: 19104939 DOI: 10.1007/s10620-008-0629-8] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2008] [Accepted: 11/12/2008] [Indexed: 12/31/2022]
Abstract
MicroRNAs are a group of small non-coding RNAs with modulator activity of gene expression. Recent studies have uncovered a profound role of microRNAs in liver diseases. This study aimed to investigate a potential relationship between microRNA-223 (miR-223) expression and hepatic ischemia/reperfusion injury in mice. Quantitative RT-PCR analysis showed that miR-223 expression levels were greatly up-regulated in the livers after 75 min ischemia followed by 120 min reperfusion when compared to sham controls (2.59 +/- 0.23 vs. 0.83 +/- 0.15; P < 0.01). Correlation analysis also revealed that hepatic miR-223 expression level was significantly positively correlated with serum markers of ischemic injury. By prediction assay of miRNA targets mRNA, acyl-CoA synthetase long-chain family member 3, ephrin A1, and ras homolog gene family member B were predicted to be downstream targets of miR-223. Thus, we conclude that hepatic ischemia/reperfusion injury might be another form of liver disease that is associated with alteration in miR-223 expression.
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24
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de Jonge J, Kurian S, Shaked A, Reddy KR, Hancock W, Salomon DR, Olthoff KM. Unique early gene expression patterns in human adult-to-adult living donor liver grafts compared to deceased donor grafts. Am J Transplant 2009; 9:758-72. [PMID: 19353763 PMCID: PMC2734955 DOI: 10.1111/j.1600-6143.2009.02557.x] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Because of inherent differences between deceased donor (DD) and living donor (LD) liver grafts, we hypothesize that the molecular signatures will be unique, correlating with specific biologic pathways and clinical patterns. Microarray profiles of 63 biopsies in 13 DD and 8 LD liver grafts done at serial time points (procurement, backbench and postreperfusion)were compared between groups using class comparisons, network and biological function analyses. Specific genes were validated by quantitative PCR and immunopathology. Clinical findings were also compared. Following reperfusion, 579 genes in DD grafts and 1324 genes in LDs were differentially expressed (p < 0.005). Many upregulated LD genes were related to regeneration, biosynthesis and cell cycle, and a large number of downregulated genes were linked to hepatic metabolism and energy pathways correlating with posttransplant clinical laboratory findings. There was significant upregulation of inflammatory/immune genes in both DD and LD, each with a distinct pattern. Gene expression patterns of select genes associated with inflammation and regeneration in LD and DD grafts correlated with protein expression. Unique patterns of early gene expression are seen in LD and DD liver grafts, correlating with protein expression and clinical results, demonstrating distinct inflammatory profiles and significant downregulation of metabolic pathways in LD grafts.
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Affiliation(s)
- Jeroen de Jonge
- Department of Surgery, Penn Transplant Institute, University of Pennsylvania, Philadelphia, PA
| | - Sunil Kurian
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA
| | - Abraham Shaked
- Department of Surgery, Penn Transplant Institute, University of Pennsylvania, Philadelphia, PA
| | - K. Rajendar Reddy
- Department of Medicine, Division of Gastroenterology, University of Pennsylvania, Philadelphia, PA
| | - Wayne Hancock
- Department of Pathology and Laboratory Medicine, Joseph Stokes Jr. Research Institute, The Children’s Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA
| | - Daniel R. Salomon
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA
| | - Kim M. Olthoff
- Department of Surgery, Penn Transplant Institute, University of Pennsylvania, Philadelphia, PA
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25
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Shaked A, Ghobrial RM, Merion RM, Shearon TH, Emond JC, Fair JH, Fisher RA, Kulik LM, Pruett TL, Terrault NA. Incidence and severity of acute cellular rejection in recipients undergoing adult living donor or deceased donor liver transplantation. Am J Transplant 2009; 9:301-8. [PMID: 19120082 PMCID: PMC3732169 DOI: 10.1111/j.1600-6143.2008.02487.x] [Citation(s) in RCA: 119] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Living donor liver transplantation (LDLT) may have better immunological outcomes compared to deceased donor liver transplantation (DDLT). The aim of this study was to analyze the incidence of acute cellular rejection (ACR) after LDLT and DDLT. Data from the adult-to-adult living donor liver transplantation (A2ALL) retrospective cohort study on 593 liver transplants done between May 1998 and March 2004 were studied (380 LDLT; 213 DDLT). Median LDLT and DDLT follow-up was 778 and 713 days, respectively. Rates of clinically treated and biopsy-proven ACR were compared. There were 174 (46%) LDLT and 80 (38%) DDLT recipients with >/=1 clinically treated episodes of ACR, whereas 103 (27%) LDLT and 58 (27%) DDLT recipients had >/=1 biopsy-proven ACR episode. A higher proportion of LDLT recipients had clinically treated ACR (p = 0.052), but this difference was largely attributable to one center. There were similar proportions of biopsy-proven rejection (p = 0.97) and graft loss due to rejection (p = 0.16). Longer cold ischemia time was associated with a higher rate of ACR in both groups despite much shorter median cold ischemia time in LDLT. These data do not show an immunological advantage for LDLT, and therefore do not support the application of unique posttransplant immunosuppression protocols for LDLT recipients.
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Affiliation(s)
- Abraham Shaked
- Department of Surgery, University of Pennsylvania, Philadelphia, PA
| | - R. Mark Ghobrial
- Department of Surgery, University of California, Los Angeles, Los Angeles, CA
| | | | | | - Jean C. Emond
- Department of Medicine and Surgery, Columbia University College of Physicians & Surgeons, New York, NY
| | - Jeffrey H. Fair
- Department of Surgery, University of North Carolina, Chapel Hill, NC
| | - Robert A. Fisher
- Department of Surgery, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, VA
| | - Laura M. Kulik
- Department of Medicine, Northwestern University, Chicago, IL
| | | | - Norah A. Terrault
- Department of Medicine, University of California, San Francisco, San Francisco, CA
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Hassan-Montero L, Bueno P, Olmedo C, Comino A, Muffak-Granero K, Garcia-Alcalde F, Serradilla M, Villar J, Garrote D, Blanco A, Ferrón J. Gene Expression Profiling in Liver Transplant Recipients With Alcoholic Cirrhosis. Transplant Proc 2008; 40:2955-8. [DOI: 10.1016/j.transproceed.2008.08.085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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27
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Chen L, Borozan I, Milkiewicz P, Sun J, Meng X, Coltescu C, Edwards AM, Ostrowski MA, Guindi M, Heathcote EJ, McGilvray ID. Gene expression profiling of early primary biliary cirrhosis: possible insights into the mechanism of action of ursodeoxycholic acid. Liver Int 2008; 28:997-1010. [PMID: 18422935 DOI: 10.1111/j.1478-3231.2008.01744.x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
Abstract
OBJECTIVES Primary biliary cirrhosis (PBC) is a poorly understood disease, both in terms of its pathogenesis and the mechanism of action of its most common treatment, ursodeoxycholic acid (UDCA). We used gene expression profiling to compare liver tissue from treatment-naïve and UDCA-treated patients in order to outline some of the molecular changes associated with PBC and its treatment. PATIENTS AND EXPERIMENTAL DESIGN: Liver biopsy specimens from non-cirrhotic, treatment-naïve (n=11) patients were compared with biopsies from UDCA-treated patients (n=20) and with 10 normal, healthy female controls. Gene expression was determined using a 19K cDNA microarray. In order to determine whether the observed changes in gene expression levels were specific to PBC or generic to liver damage overall, PBC samples were also compared with chronically diseased [48 hepatitis C virus (HCV), 18 hepatitis B virus (HBV)] and acutely stressed liver tissue (25 liver biopsies taken after reperfusion of liver transplant grafts). RESULTS We found a gene signature specific to PBC (P<or=0.012), containing biologically plausible genes (221 genes with adjusted P</=0.05). Differences in the expression of selected genes were confirmed using real-time polymerase chain reaction. When gene expression from non-cirrhotic UDCA-treated (n=20) and UDCA-naïve liver tissue was compared, we found a striking downregulation of a number of genes involved in protein biosynthetic pathways. CONCLUSIONS These studies highlight the genes associated with both treatment-naïve and UDCA-treated PBC, and suggest that the effects of UDCA are mediated, at least in part, via a modulation of protein biosynthesic pathways.
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Affiliation(s)
- Limin Chen
- Banting and Best Department of Medical Research, University of Toronto, Toronto, ON, Canada
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28
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Glöckner R, Lieder A, Lupp A. Determination of CYP activity in precision-cut liver slices: whether to use intact slices or slice homogenate. Anal Bioanal Chem 2008; 392:1167-72. [DOI: 10.1007/s00216-008-2238-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2008] [Accepted: 06/06/2008] [Indexed: 10/21/2022]
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29
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Borozan I, Chen L, Paeper B, Heathcote JE, Edwards AM, Katze M, Zhang Z, McGilvray ID. MAID : an effect size based model for microarray data integration across laboratories and platforms. BMC Bioinformatics 2008; 9:305. [PMID: 18616827 PMCID: PMC2483727 DOI: 10.1186/1471-2105-9-305] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2008] [Accepted: 07/10/2008] [Indexed: 11/25/2022] Open
Abstract
Background Gene expression profiling has the potential to unravel molecular mechanisms behind gene regulation and identify gene targets for therapeutic interventions. As microarray technology matures, the number of microarray studies has increased, resulting in many different datasets available for any given disease. The increase in sensitivity and reliability of measurements of gene expression changes can be improved through a systematic integration of different microarray datasets that address the same or similar biological questions. Results Traditional effect size models can not be used to integrate array data that directly compare treatment to control samples expressed as log ratios of gene expressions. Here we extend the traditional effect size model to integrate as many array datasets as possible. The extended effect size model (MAID) can integrate any array datatype generated with either single or two channel arrays using either direct or indirect designs across different laboratories and platforms. The model uses two standardized indices, the standard effect size score for experiments with two groups of data, and a new standardized index that measures the difference in gene expression between treatment and control groups for one sample data with replicate arrays. The statistical significance of treatment effect across studies for each gene is determined by appropriate permutation methods depending on the type of data integrated. We apply our method to three different expression datasets from two different laboratories generated using three different array platforms and two different experimental designs. Our results indicate that the proposed integration model produces an increase in statistical power for identifying differentially expressed genes when integrating data across experiments and when compared to other integration models. We also show that genes found to be significant using our data integration method are of direct biological relevance to the three experiments integrated. Conclusion High-throughput genomics data provide a rich and complex source of information that could play a key role in deciphering intricate molecular networks behind disease. Here we propose an extension of the traditional effect size model to allow the integration of as many array experiments as possible with the aim of increasing the statistical power for identifying differentially expressed genes.
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Affiliation(s)
- Ivan Borozan
- Banting and Best Department of Medical Research, University of Toronto, 112 College St, Toronto, ON M5G1L6, Canada.
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30
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Defamie V, Cursio R, Le Brigand K, Moreilhon C, Saint-Paul MC, Laurens M, Crenesse D, Cardinaud B, Auberger P, Gugenheim J, Barbry P, Mari B. Gene expression profiling of human liver transplants identifies an early transcriptional signature associated with initial poor graft function. Am J Transplant 2008; 8:1221-36. [PMID: 18522548 DOI: 10.1111/j.1600-6143.2008.02249.x] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Liver ischemia-reperfusion injury occurring in orthotopic liver transplantation (OLT) may be responsible for early graft failure. Molecular mechanisms underlying initial poor graft function (IPGF) have been poorly documented in human. The purpose of this study was to identify the major transcriptional alterations occurring in human livers during OLT. Twenty-one RNA extracts derived from liver transplant biopsies taken after graft reperfusion were compared with 7 RNA derived from normal control livers. Three hundred seventy-one genes were significantly modulated and classified in molecular pathways relevant to liver metabolism, inflammatory response, cell proliferation and liver protection. Grafts were then subdivided into two groups based on their peak levels of serum aspartate amino transferase within 72 h after OLT (group 1, non-IPGF: 14 patients; group 2, IPGF: 7 patients). The two corresponding data sets were compared using a supervised prediction method. A new set of genes able to correctly classify 71% of the patients was defined. These genes were functionally associated with oxidative stress, inflammation and inhibition of cell proliferation. This study provides a comprehensive picture of the transcriptional events associated with human OLT and IPGF. We anticipate that such alterations provide a framework for the elucidation of the molecular mechanisms leading to IPGF.
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Affiliation(s)
- V Defamie
- CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, UMR6097, 660, Route des Lucioles F-06560 Sophia Antipolis, France
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31
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Cytokine Gene Polymorphism and Postreperfusion Syndrome During Orthotopic Liver Transplantation. Transplant Proc 2008; 40:1290-3. [DOI: 10.1016/j.transproceed.2008.01.078] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2007] [Revised: 10/08/2007] [Accepted: 01/16/2008] [Indexed: 11/18/2022]
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32
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Kurian S, Grigoryev Y, Head S, Campbell D, Mondala T, Salomon DR. Applying genomics to organ transplantation medicine in both discovery and validation of biomarkers. Int Immunopharmacol 2007; 7:1948-60. [PMID: 18039531 DOI: 10.1016/j.intimp.2007.07.017] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2007] [Accepted: 07/12/2007] [Indexed: 10/23/2022]
Abstract
The field of biomarker discovery made a significant leap over the past few decades. As we enter the Era of the Human Genome, thousands of biomarkers can be identified in a relatively high-throughput fashion. While such magnitude and diversity of biomarkers can be seen as a challenge by itself, the field is being moved forward by new advances in bioinformatics and Systems Biology. Because of the life and death nature of end stage organ failure that transplantation treats, the severe donor organ shortage, and the powerful and toxic drug therapies required for the lifetimes of transplant patients, we envision a future for biomarkers as tools to diagnose disease in its early stages, predict prognosis, suggest treatment options and then assist in the implementation of therapies. By harnessing the power of multiple technologies in parallel makes it possible to discover and then validate the next generation of biomarkers for transplantation. We see the road ahead diverge into two paths: one from biomarkers to diagnosis and therapy and the other to a new level of insight into the complex molecular networks that determine when a healthy state becomes diseased and dysfunctional.
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Affiliation(s)
- Sunil Kurian
- Department of Molecular & Experimental Medicine, The Scripps Research Institute, La Jolla, California 92037, USA.
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33
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Conti A, Scala S, D'Agostino P, Alimenti E, Morelli D, Andria B, Tammaro A, Attanasio C, Della Ragione F, Scuderi V, Fabbrini F, D'Esposito M, Di Florio E, Nitsch L, Calise F, Faiella A. Wide gene expression profiling of ischemia-reperfusion injury in human liver transplantation. Liver Transpl 2007; 13:99-113. [PMID: 17192907 DOI: 10.1002/lt.20960] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Ischemia-reperfusion injury (IRI) causes up to 10% of early liver failures in humans and can lead to a higher incidence of acute and chronic rejection. So far, very few studies have investigated wide gene expression profiles associated with the IRI process. The discovery of novel genes activated by IRI might lead to the identification of potential target genes for the prevention or treatment of the injury. In our study, we compared gene expression levels in reperfused livers (RL group) vs. the basal values before retrieval from the donor (basal liver [BL] group) using oligonucleotide array technology. We examined 10 biopsies from 5 livers, analyzing approximately 33,000 genes represented on the Affymetrix HG-U133APlus 2.0 oligonucleotide arrays (Affymetrix, Santa Clara, CA). About 13,000 individual genes were considered expressed in at least 1 condition. A total of 795 genes whose expression is significantly modified by ischemia-reperfusion in human liver transplantation were identified in this study. Some of them are likely to be completely activated by IRI, as they are not expressed in basal livers. The supervised gene expression analysis revealed that at least 12% of the genes involved in the apoptotic process, 12.5% of the genes involved in inflammatory processes, and 22.5% of the genes encoding for heat shock proteins are differentially expressed in RL samples vs. BL samples. Furthermore, IRI induces the upregulation of some genes' coding for adhesion molecules and integrins. In conclusion, we have identified a relevant amount of early genes regulated in the human liver after 7-9 hours of cold ischemia and 2 hours from reperfusion, many of them not having been described before in this process. Their analyses may help us to better understand the pathophysiology of IRI and to characterize potential target genes for the prevention or treatment of the liver injury in order to increase the number of patients that successfully undergo transplantation.
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Affiliation(s)
- Anna Conti
- Department of Biology and Cellular Pathology, Federico II University, Center of Biotechnologies, Naples, Italy
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