Katelynn S Madill-Thomsen, Patrick T Gauthier, Marwan Abouljoud, Chandra Bhati, David Bruno, Michał Ciszek, Magdalena Durlik, Sandy Feng, Bartosz Foroncewicz, Michał Grąt, Krzysztof Jurczyk, Josh Levitsky, Geoff McCaughan, Daniel Maluf, Aldo Montano-Loza, Dilip Moonka, Krzysztof Mucha, Marek Myślak, Agnieszka Perkowska-Ptasińska, Grzegorz Piecha, Trevor Reichman, Olga Tronina, Marta Wawrzynowicz-Syczewska, Samir Zeair, Philip F Halloran
{"title":"从INTERLIVER研究中定义肝移植活检中NK细胞富集的排斥样表型。","authors":"Katelynn S Madill-Thomsen, Patrick T Gauthier, Marwan Abouljoud, Chandra Bhati, David Bruno, Michał Ciszek, Magdalena Durlik, Sandy Feng, Bartosz Foroncewicz, Michał Grąt, Krzysztof Jurczyk, Josh Levitsky, Geoff McCaughan, Daniel Maluf, Aldo Montano-Loza, Dilip Moonka, Krzysztof Mucha, Marek Myślak, Agnieszka Perkowska-Ptasińska, Grzegorz Piecha, Trevor Reichman, Olga Tronina, Marta Wawrzynowicz-Syczewska, Samir Zeair, Philip F Halloran","doi":"10.1097/TP.0000000000005269","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Initial analysis of liver transplant biopsies in the INTERLIVER study (ClinicalTrials.gov; unique identifier NCT03193151) using rejection-associated transcripts failed to find an antibody-mediated rejection state (ie, rich in natural killer [NK] cells and with interferon-gamma effects). We recently developed an optimization strategy in lung transplants that isolated an NK cell-enriched rejection-like (NKRL) state that was molecularly distinct from T cell-mediated rejection (TCMR). Here we apply the same strategy to a liver transplant biopsy population.</p><p><strong>Methods: </strong>We used this strategy to search for a molecular NKRL state in 765 consented liver transplant biopsies collected at participating international centers for gold-standard histology and molecular assessment by genome-wide microarrays. Validation through a training set-test set approach of an optimized selection of variables as inputs into unsupervised rejection classification identified an NKRL state in livers.</p><p><strong>Results: </strong>The full model classified 765 biopsies into the following molecular phenotypes, characterized by their gene expression: no-rejection 54%, TCMR 16%, NKRL 13%, and injury 16%. Top TCMR transcripts were expressed in effector T cells; top NKRL transcripts were almost exclusively expressed in NK cells; and both had increased interferon-γ-inducible transcripts, which were more pronounced in TCMR. Most TCMR biopsies had significant parenchymal injury, molecular fibrosis, and abnormal biochemistry. NKRL biopsies had no excess of injury, fibrosis, or biochemistry abnormalities.</p><p><strong>Conclusions: </strong>Optimized rejection algorithms indicate that some liver transplants manifest an NKRL state that is well tolerated in the short term postbiopsy and with minimal injury and relatively normal biochemistry, while also underscoring the potential of TCMR to produce extensive parenchymal injury.</p>","PeriodicalId":23316,"journal":{"name":"Transplantation","volume":" ","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Defining an NK Cell-enriched Rejection-like Phenotype in Liver Transplant Biopsies From the INTERLIVER Study.\",\"authors\":\"Katelynn S Madill-Thomsen, Patrick T Gauthier, Marwan Abouljoud, Chandra Bhati, David Bruno, Michał Ciszek, Magdalena Durlik, Sandy Feng, Bartosz Foroncewicz, Michał Grąt, Krzysztof Jurczyk, Josh Levitsky, Geoff McCaughan, Daniel Maluf, Aldo Montano-Loza, Dilip Moonka, Krzysztof Mucha, Marek Myślak, Agnieszka Perkowska-Ptasińska, Grzegorz Piecha, Trevor Reichman, Olga Tronina, Marta Wawrzynowicz-Syczewska, Samir Zeair, Philip F Halloran\",\"doi\":\"10.1097/TP.0000000000005269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Initial analysis of liver transplant biopsies in the INTERLIVER study (ClinicalTrials.gov; unique identifier NCT03193151) using rejection-associated transcripts failed to find an antibody-mediated rejection state (ie, rich in natural killer [NK] cells and with interferon-gamma effects). We recently developed an optimization strategy in lung transplants that isolated an NK cell-enriched rejection-like (NKRL) state that was molecularly distinct from T cell-mediated rejection (TCMR). Here we apply the same strategy to a liver transplant biopsy population.</p><p><strong>Methods: </strong>We used this strategy to search for a molecular NKRL state in 765 consented liver transplant biopsies collected at participating international centers for gold-standard histology and molecular assessment by genome-wide microarrays. Validation through a training set-test set approach of an optimized selection of variables as inputs into unsupervised rejection classification identified an NKRL state in livers.</p><p><strong>Results: </strong>The full model classified 765 biopsies into the following molecular phenotypes, characterized by their gene expression: no-rejection 54%, TCMR 16%, NKRL 13%, and injury 16%. Top TCMR transcripts were expressed in effector T cells; top NKRL transcripts were almost exclusively expressed in NK cells; and both had increased interferon-γ-inducible transcripts, which were more pronounced in TCMR. Most TCMR biopsies had significant parenchymal injury, molecular fibrosis, and abnormal biochemistry. NKRL biopsies had no excess of injury, fibrosis, or biochemistry abnormalities.</p><p><strong>Conclusions: </strong>Optimized rejection algorithms indicate that some liver transplants manifest an NKRL state that is well tolerated in the short term postbiopsy and with minimal injury and relatively normal biochemistry, while also underscoring the potential of TCMR to produce extensive parenchymal injury.</p>\",\"PeriodicalId\":23316,\"journal\":{\"name\":\"Transplantation\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2025-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transplantation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/TP.0000000000005269\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transplantation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/TP.0000000000005269","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Defining an NK Cell-enriched Rejection-like Phenotype in Liver Transplant Biopsies From the INTERLIVER Study.
Background: Initial analysis of liver transplant biopsies in the INTERLIVER study (ClinicalTrials.gov; unique identifier NCT03193151) using rejection-associated transcripts failed to find an antibody-mediated rejection state (ie, rich in natural killer [NK] cells and with interferon-gamma effects). We recently developed an optimization strategy in lung transplants that isolated an NK cell-enriched rejection-like (NKRL) state that was molecularly distinct from T cell-mediated rejection (TCMR). Here we apply the same strategy to a liver transplant biopsy population.
Methods: We used this strategy to search for a molecular NKRL state in 765 consented liver transplant biopsies collected at participating international centers for gold-standard histology and molecular assessment by genome-wide microarrays. Validation through a training set-test set approach of an optimized selection of variables as inputs into unsupervised rejection classification identified an NKRL state in livers.
Results: The full model classified 765 biopsies into the following molecular phenotypes, characterized by their gene expression: no-rejection 54%, TCMR 16%, NKRL 13%, and injury 16%. Top TCMR transcripts were expressed in effector T cells; top NKRL transcripts were almost exclusively expressed in NK cells; and both had increased interferon-γ-inducible transcripts, which were more pronounced in TCMR. Most TCMR biopsies had significant parenchymal injury, molecular fibrosis, and abnormal biochemistry. NKRL biopsies had no excess of injury, fibrosis, or biochemistry abnormalities.
Conclusions: Optimized rejection algorithms indicate that some liver transplants manifest an NKRL state that is well tolerated in the short term postbiopsy and with minimal injury and relatively normal biochemistry, while also underscoring the potential of TCMR to produce extensive parenchymal injury.
期刊介绍:
The official journal of The Transplantation Society, and the International Liver Transplantation Society, Transplantation is published monthly and is the most cited and influential journal in the field, with more than 25,000 citations per year.
Transplantation has been the trusted source for extensive and timely coverage of the most important advances in transplantation for over 50 years. The Editors and Editorial Board are an international group of research and clinical leaders that includes many pioneers of the field, representing a diverse range of areas of expertise. This capable editorial team provides thoughtful and thorough peer review, and delivers rapid, careful and insightful editorial evaluation of all manuscripts submitted to the journal.
Transplantation is committed to rapid review and publication. The journal remains competitive with a time to first decision of fewer than 21 days. Transplantation was the first in the field to offer CME credit to its peer reviewers for reviews completed.
The journal publishes original research articles in original clinical science and original basic science. Short reports bring attention to research at the forefront of the field. Other areas covered include cell therapy and islet transplantation, immunobiology and genomics, and xenotransplantation.