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Huang DL, He YR, Liu YJ, He HY, Gu ZY, Liu YM, Liu WJ, Luo Z, Ju MJ. The immunomodulation role of Th17 and Treg in renal transplantation. Front Immunol 2023; 14:1113560. [PMID: 36817486 PMCID: PMC9928745 DOI: 10.3389/fimmu.2023.1113560] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/09/2023] [Indexed: 02/04/2023] Open
Abstract
Kidney transplantation (KT) is an ultimate treatment of end-stage chronic kidney disease, which can meet a lot of complications induced by immune system. With under-controlled immunosuppression, the patient will obtain a good prognosis. Otherwise, allograft disfunction will cause severe organ failure and even immune collapse. Acute or chronic allograft dysfunction after KT is related to Th17, Treg, and Th17/Treg to a certain extent. Elevated Th17 levels may lead to acute rejection or chronic allograft dysfunction. Treg mainly plays a protective role on allografts by regulating immune response. The imbalance of the two may further aggravate the balance of immune response and damage the allograft. Controlling Th17 level, improving Treg function and level, and adjusting Th17/Treg ratio may have positive effects on longer allograft survival and better prognosis of receptors.
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Affiliation(s)
- Dan-Lei Huang
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yi-Ran He
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yu-Jing Liu
- Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hong-Yu He
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhun-Yong Gu
- Department of Urinary Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yi-Mei Liu
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wen-Jun Liu
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhe Luo
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China,*Correspondence: Min-Jie Ju, ; Zhe Luo,
| | - Min-Jie Ju
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China,*Correspondence: Min-Jie Ju, ; Zhe Luo,
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Ba R, Geffard E, Douillard V, Simon F, Mesnard L, Vince N, Gourraud PA, Limou S. Surfing the Big Data Wave: Omics Data Challenges in Transplantation. Transplantation 2022; 106:e114-e125. [PMID: 34889882 DOI: 10.1097/tp.0000000000003992] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
In both research and care, patients, caregivers, and researchers are facing a leap forward in the quantity of data that are available for analysis and interpretation, marking the daunting "big data era." In the biomedical field, this quantitative shift refers mostly to the -omics that permit measuring and analyzing biological features of the same type as a whole. Omics studies have greatly impacted transplantation research and highlighted their potential to better understand transplant outcomes. Some studies have emphasized the contribution of omics in developing personalized therapies to avoid graft loss. However, integrating omics data remains challenging in terms of analytical processes. These data come from multiple sources. Consequently, they may contain biases and systematic errors that can be mistaken for relevant biological information. Normalization methods and batch effects have been developed to tackle issues related to data quality and homogeneity. In addition, imputation methods handle data missingness. Importantly, the transplantation field represents a unique analytical context as the biological statistical unit is the donor-recipient pair, which brings additional complexity to the omics analyses. Strategies such as combined risk scores between 2 genomes taking into account genetic ancestry are emerging to better understand graft mechanisms and refine biological interpretations. The future omics will be based on integrative biology, considering the analysis of the system as a whole and no longer the study of a single characteristic. In this review, we summarize omics studies advances in transplantation and address the most challenging analytical issues regarding these approaches.
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Affiliation(s)
- Rokhaya Ba
- Université de Nantes, Centre Hospitalier Universitaire Nantes, Institute of Health and Medical Research, Centre de Recherche en Transplantation et Immunologie, UMR 1064, Institut de Transplantation Urologie-Néphrologie, Nantes, France
- Département Informatique et Mathématiques, Ecole Centrale de Nantes, Nantes, France
| | - Estelle Geffard
- Université de Nantes, Centre Hospitalier Universitaire Nantes, Institute of Health and Medical Research, Centre de Recherche en Transplantation et Immunologie, UMR 1064, Institut de Transplantation Urologie-Néphrologie, Nantes, France
| | - Venceslas Douillard
- Université de Nantes, Centre Hospitalier Universitaire Nantes, Institute of Health and Medical Research, Centre de Recherche en Transplantation et Immunologie, UMR 1064, Institut de Transplantation Urologie-Néphrologie, Nantes, France
| | - Françoise Simon
- Université de Nantes, Centre Hospitalier Universitaire Nantes, Institute of Health and Medical Research, Centre de Recherche en Transplantation et Immunologie, UMR 1064, Institut de Transplantation Urologie-Néphrologie, Nantes, France
- Mount Sinai School of Medicine, New York, NY
| | - Laurent Mesnard
- Urgences Néphrologiques et Transplantation Rénale, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France
- Sorbonne Université, Paris, France
| | - Nicolas Vince
- Université de Nantes, Centre Hospitalier Universitaire Nantes, Institute of Health and Medical Research, Centre de Recherche en Transplantation et Immunologie, UMR 1064, Institut de Transplantation Urologie-Néphrologie, Nantes, France
| | - Pierre-Antoine Gourraud
- Université de Nantes, Centre Hospitalier Universitaire Nantes, Institute of Health and Medical Research, Centre de Recherche en Transplantation et Immunologie, UMR 1064, Institut de Transplantation Urologie-Néphrologie, Nantes, France
| | - Sophie Limou
- Université de Nantes, Centre Hospitalier Universitaire Nantes, Institute of Health and Medical Research, Centre de Recherche en Transplantation et Immunologie, UMR 1064, Institut de Transplantation Urologie-Néphrologie, Nantes, France
- Département Informatique et Mathématiques, Ecole Centrale de Nantes, Nantes, France
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Abstract
PURPOSE OF REVIEW DNA methylation is involved in gene transcription and as such important for cellular function. Here, the literature on DNA methylation in relation to acute rejection is summarized with a focus on the potential clinical utility of DNA methylation for monitoring transplant rejection. RECENT FINDINGS The tight transcriptional control of DNA methylation in immune cell function, e.g. demethylation in regulatory T-cell-specific genes for stable immunosuppressive capacities, suggests an important role for DNA methylation variations in the antidonor-directed immune response. Until today, differentially methylated DNA in immune cells, however, has not been described at the moment of allograft rejection. The ability to locus-specific modify DNA methylation could facilitate the generation of stable cells for cellular therapy purposes. The unique cell-specific characteristics of DNA methylation provide the opportunity to identify its cellular origin. Examining methylation of cell-free DNA in blood or urine may serve as a 'liquid biopsy' enabling minimally invasive detection of allograft rejection. SUMMARY Actual research publications on DNA methylation in relation to allograft rejection are scarce, which makes it challenging to determine its potential clinical value. Extensive research is needed to investigate the value of DNA methylation in early recognition, diagnosis, and/or successful treatment of allograft rejection.
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Abstract
PURPOSE OF REVIEW Cardiovascular diseases (CVDs) are typically caused by multifactorial events including mutations in a large number of genes. Epigenetic-derived modifications in the cells are normal but can be amended by aging, lifestyle, and exposure to toxic substances. Major epigenetic modifications are DNA methylation, histone modification, chromatin remodeling as well as the noncoding RNAs. These pivotal players are involved in the epigenetic-induced modifications observed during CVDs. Nevertheless, despite impressive efforts capitalized in epigenetic research in the last 50 years, clinical applications are still not satisfactory. RECENT FINDINGS Briefly, we present some of the recent steps forward in the epigenetic studies of CVDs. There is an increased appreciation for the contribution of epigenetic alterations in the development of CVDs. Now, we have novel epigenetic biomarkers and therapeutic trials with the use of statins, metformin, and some compounds affecting epigenetic pathways including a BET inhibitor apabetalone. The new knowledge of epigenetic regulation is also discussed in the light of precision medicine of CVDs. SUMMARY Epigenetic studies of CVDs have the promise to yield both mechanistic insights as well as adjunct treatments (repurposed drugs and apabetalone). The overall concept of precision medicine is not widely recognized in routine medical practice and the so-called reductionist approach remains the most used way to treat CVD patients.
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Sarno F, Benincasa G, List M, Barabasi AL, Baumbach J, Ciardiello F, Filetti S, Glass K, Loscalzo J, Marchese C, Maron BA, Paci P, Parini P, Petrillo E, Silverman EK, Verrienti A, Altucci L, Napoli C. Clinical epigenetics settings for cancer and cardiovascular diseases: real-life applications of network medicine at the bedside. Clin Epigenetics 2021; 13:66. [PMID: 33785068 PMCID: PMC8010949 DOI: 10.1186/s13148-021-01047-z] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 03/01/2021] [Indexed: 02/07/2023] Open
Abstract
Despite impressive efforts invested in epigenetic research in the last 50 years, clinical applications are still lacking. Only a few university hospital centers currently use epigenetic biomarkers at the bedside. Moreover, the overall concept of precision medicine is not widely recognized in routine medical practice and the reductionist approach remains predominant in treating patients affected by major diseases such as cancer and cardiovascular diseases. By its' very nature, epigenetics is integrative of genetic networks. The study of epigenetic biomarkers has led to the identification of numerous drugs with an increasingly significant role in clinical therapy especially of cancer patients. Here, we provide an overview of clinical epigenetics within the context of network analysis. We illustrate achievements to date and discuss how we can move from traditional medicine into the era of network medicine (NM), where pathway-informed molecular diagnostics will allow treatment selection following the paradigm of precision medicine.
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Affiliation(s)
- Federica Sarno
- Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Napoli, Italy
| | - Giuditta Benincasa
- Department of Advanced Medical and Surgical Sciences (DAMSS), University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Markus List
- Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
| | - Albert-Lazlo Barabasi
- Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Network and Data Science, Central European University, Budapest, Hungary
| | - Jan Baumbach
- Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
- Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark
- Chair of Computational Systems Biology, University of Hamburg, Notkestrasse 9, Hamburg, Germany
| | - Fortunato Ciardiello
- Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Napoli, Italy
| | | | - Kimberly Glass
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joseph Loscalzo
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Cinzia Marchese
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Bradley A Maron
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Paola Paci
- Department of Computer, Control, and Management Engineering, Sapienza University, Rome, Italy
| | - Paolo Parini
- Department of Laboratory Medicine and Department of Medicine, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
| | - Enrico Petrillo
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Antonella Verrienti
- Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Lucia Altucci
- Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Napoli, Italy.
| | - Claudio Napoli
- Department of Advanced Medical and Surgical Sciences (DAMSS), University of Campania "Luigi Vanvitelli", Naples, Italy
- Clinical Department of Internal Medicine and Specialistic Units, AOU, University of Campania "Luigi Vanvitelli", Naples, Italy
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Vasco M, Benincasa G, Fiorito C, Faenza M, De Rosa P, Maiello C, Santangelo M, Vennarecci G, Napoli C. Clinical epigenetics and acute/chronic rejection in solid organ transplantation: An update. Transplant Rev (Orlando) 2021; 35:100609. [PMID: 33706201 DOI: 10.1016/j.trre.2021.100609] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 02/17/2021] [Accepted: 02/17/2021] [Indexed: 12/13/2022]
Abstract
The lack of a precise stratification algorithm for predicting patients at high risk of graft rejection challenges the current solid organ transplantation (SOT) clinical setting. In fact, the established biomarkers for transplantation outcomes are unable to accurately predict the onset time and severity of graft rejection (acute or chronic) as well as the individual response to immunosuppressive drugs. Thus, identifying novel molecular pathways underlying early immunological responses which can damage transplant integrity is needed to reach precision medicine and personalized therapy of SOT. Direct epigenetic-sensitive mechanisms, mainly DNA methylation and histone modifications, may play a relevant role for immune activation and long-term effects (e.g., activation of fibrotic processes) which may be translated in new non-invasive biomarkers and drug targets. In particular, the measure of DNA methylation by using the blood-based "epigenetic clock" system may be an added value to the donor eligibility criteria providing an estimation of the heart biological age as well as a predictive biomarkers. Besides, monitoring of DNA methylation changes may aid to predict acute vs chronic graft damage in kidney transplantation (KT) patients. For example, hypermethylation of genes belonging to the Notch and Wnt pathways showed a higher predictive value for chronic injury occurring at 12 months post-KT with respect to established clinical parameters. Detecting higher circulating cell-free DNA (cfDNA) fragments carrying hepatocyte-specific unmethylated loci in the inter-alpha-trypsin inhibitor heavy chain 4 (ITIH4), insulin like growth factor 2 receptor (IGF2R), and vitronectin (VTN) genes may be useful to predict acute graft injury after liver transplantation (LT) in serum samples. Furthermore, hypomethylation in the forkhead box P3 (FOXP3) gene may serve as a marker of infiltrating natural Treg percentage in the graft providing the ability to predict acute rejection events after heart transplantation (HTx). We aim to update on the possible clinical relevance of DNA methylation changes regulating immune-related pathways underlying acute or chronic graft rejection in KT, LT, and HTx which might be useful to prevent, monitor, and treat solid organ rejection at personalized level.
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Affiliation(s)
- Maria Vasco
- U.O.C. Division of Clinical Immunology, Immunohematology, Transfusion Medicine and Transplant Immunology, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Giuditta Benincasa
- Department of Advanced Medical and Surgical Sciences (DAMSS), University of Campania "Luigi Vanvitelli", Naples, Italy.
| | - Carmela Fiorito
- U.O.C. Division of Clinical Immunology, Immunohematology, Transfusion Medicine and Transplant Immunology, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Mario Faenza
- Multidisciplinary Department of Medical Surgical and Dental Sciences-Plastic Surgery Unit, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Paride De Rosa
- General Surgery and Transplantation Unit, "San Giovanni di Dio e Ruggi D'Aragona" University Hospital, Scuola Medica Salernitana, Salerno, Italy
| | - Ciro Maiello
- Department of Cardiovascular Surgery and Transplants, Monaldi Hospital, Azienda dei Colli, Naples, Italy
| | - Michele Santangelo
- General Surgery and Kidney Transplantation Unit, "Federico II" University Hospital, Naples, Italy
| | - Giovanni Vennarecci
- Division of General Surgery and Liver Transplantation, AO Cardarelli, Naples, Italy
| | - Claudio Napoli
- U.O.C. Division of Clinical Immunology, Immunohematology, Transfusion Medicine and Transplant Immunology, University of Campania "Luigi Vanvitelli", Naples, Italy; Department of Advanced Medical and Surgical Sciences (DAMSS), University of Campania "Luigi Vanvitelli", Naples, Italy; IRCCS SDN, Naples, Italy
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Donor-Reactive Regulatory T Cell Frequency Increases During Acute Cellular Rejection of Lung Allografts. Transplantation 2017; 100:2090-8. [PMID: 27077597 DOI: 10.1097/tp.0000000000001191] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Acute cellular rejection is a major cause of morbidity after lung transplantation. Because regulatory T (Treg) cells limit rejection of solid organs, we hypothesized that donor-reactive Treg increase after transplantation with development of partial tolerance and decrease relative to conventional CD4 (Tconv) and CD8 T cells during acute cellular rejection. METHODS To test these hypotheses, we prospectively collected 177 peripheral blood mononuclear cell specimens from 39 lung transplant recipients at the time of transplantation and during bronchoscopic assessments for acute cellular rejection. We quantified the proportion of Treg, CD4 Tconv, and CD8 T cells proliferating in response to donor-derived, stimulated B cells. We used generalized estimating equation-adjusted regression to compare donor-reactive T cell frequencies with acute cellular rejection pathology. RESULTS An average of 16.5 ± 9.0% of pretransplantation peripheral blood mononuclear cell Treg cell were donor-reactive, compared with 3.8% ± 2.9% of CD4 Tconv and 3.4 ± 2.6% of CD8 T cells. These values were largely unchanged after transplantation. Donor-reactive CD4 Tconv and CD8 T cell frequencies both increased 1.5-fold (95% confidence interval [95% CI], 1.3-1.6; P < 0.001 and 95% CI, 1.2-1.6; P = 0.007, respectively) during grade A2 rejection compared with no rejection. Surprisingly, donor-reactive Treg frequencies increased by 1.7-fold (95% CI, 1.4-1.8; P < 0.001). CONCLUSIONS Contrary to prediction, overall proportions of donor-reactive Treg cells are similar before and after transplantation and increase during grade A2 rejection. This suggests how A2 rejection can be self-limiting. The observed increases over high baseline proportions in donor-reactive Treg were insufficient to prevent acute lung allograft rejection.
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van den Bosch TPP, Caliskan K, Kraaij MD, Constantinescu AA, Manintveld OC, Leenen PJM, von der Thüsen JH, Clahsen-van Groningen MC, Baan CC, Rowshani AT. CD16+ Monocytes and Skewed Macrophage Polarization toward M2 Type Hallmark Heart Transplant Acute Cellular Rejection. Front Immunol 2017; 8:346. [PMID: 28392789 PMCID: PMC5364145 DOI: 10.3389/fimmu.2017.00346] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 03/10/2017] [Indexed: 12/11/2022] Open
Abstract
Background During acute heart transplant rejection, infiltration of lymphocytes and monocytes is followed by endothelial injury and eventually myocardial fibrosis. To date, no information is available on monocyte–macrophage-related cellular shifts and their polarization status during rejection. Here, we aimed to define and correlate monocyte–macrophage endomyocardial tissue profiles obtained at rejection and time points prior to rejection, with corresponding serial blood samples in 25 heart transplant recipients experiencing acute cellular rejection. Additionally, 33 healthy individuals served as control. Materials and methods Using histology, immunohistochemistry, confocal laser scan microscopy, and digital imaging expression of CD14, CD16, CD56, CD68, CD80, and CD163 were explored to define monocyte and macrophage tissue profiles during rejection. Fibrosis was investigated using Sirius Red stainings of rejection, non-rejection, and 1-year biopsies. Expression of co-stimulatory and migration-related molecules on circulating monocytes, and production potential for pro- and anti-inflammatory cytokines were studied using flow cytometry. Results At tissue level, striking CD16+ monocyte infiltration was observed during rejection (p < 0.001). Significantly more CD68+CD163+ M2 macrophages were documented during rejection compared to barely present CD68+CD80+ M1 macrophages. Rejection was associated with severe fibrosis in 1-year biopsies (p < 0.001). Irrespective of rejection status, decreased frequencies of circulating CD16+ monocytes were found in patients compared to healthy individuals. Rejection was reflected by significantly increased CD54 and HLA-DR expression on CD16+ monocytes with retained cytokine production potential. Conclusion CD16+ monocytes and M2 macrophages hallmark the correlates of heart transplant acute cellular rejection on tissue level and seem to be associated with fibrosis in the long term.
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Affiliation(s)
- Thierry P P van den Bosch
- Department of Internal Medicine and Transplantation, Erasmus University Medical Center , Rotterdam , Netherlands
| | - Kadir Caliskan
- Department of Cardiology, Erasmus University Medical Center , Rotterdam , Netherlands
| | - Marina D Kraaij
- Department of Internal Medicine and Transplantation, Erasmus University Medical Center , Rotterdam , Netherlands
| | | | - Olivier C Manintveld
- Department of Cardiology, Erasmus University Medical Center , Rotterdam , Netherlands
| | - Pieter J M Leenen
- Department of Immunology, Erasmus University Medical Center , Rotterdam , Netherlands
| | - Jan H von der Thüsen
- Department of Pathology, Erasmus University Medical Center , Rotterdam , Netherlands
| | | | - Carla C Baan
- Department of Internal Medicine and Transplantation, Erasmus University Medical Center , Rotterdam , Netherlands
| | - Ajda T Rowshani
- Department of Internal Medicine and Transplantation, Erasmus University Medical Center , Rotterdam , Netherlands
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10
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Clinical potential of DNA methylation in organ transplantation. J Heart Lung Transplant 2016; 35:843-50. [DOI: 10.1016/j.healun.2016.02.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Revised: 02/18/2016] [Accepted: 02/26/2016] [Indexed: 01/17/2023] Open
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Pilat N, Mahr B, Unger L, Hock K, Schwarz C, Farkas AM, Baranyi U, Wrba F, Wekerle T. Incomplete clonal deletion as prerequisite for tissue-specific minor antigen tolerization. JCI Insight 2016; 1:e85911. [PMID: 27699263 PMCID: PMC5033814 DOI: 10.1172/jci.insight.85911] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Accepted: 04/19/2016] [Indexed: 11/17/2022] Open
Abstract
Central clonal deletion has been considered the critical factor responsible for the robust state of tolerance achieved by chimerism-based experimental protocols, but split-tolerance models and the clinical experience are calling this assumption into question. Although clone-size reduction through deletion has been shown to be universally required for achieving allotolerance, it remains undetermined whether it is sufficient by itself. Therapeutic Treg treatment induces chimerism and tolerance in a stringent murine BM transplantation model devoid of myelosuppressive recipient treatment. In contrast to irradiation chimeras, chronic rejection (CR) of skin and heart allografts in Treg chimeras was permanently prevented, even in the absence of complete clonal deletion of donor MHC-reactive T cells. We show that minor histocompatibility antigen mismatches account for CR in irradiation chimeras without global T cell depletion. Furthermore, we show that Treg therapy-induced tolerance prevents CR in a linked suppression-like fashion, which is maintained by active regulatory mechanisms involving recruitment of thymus-derived Tregs to the graft. These data suggest that highly efficient intrathymic and peripheral deletion of donor-reactive T cells for specificities expressed on hematopoietic cells preclude the expansion of donor-specific Tregs and, hence, do not allow for spreading of tolerance to minor specificities that are not expressed by donor BM.
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Affiliation(s)
- Nina Pilat
- Section of Transplantation Immunology, Department of Surgery, and
| | - Benedikt Mahr
- Section of Transplantation Immunology, Department of Surgery, and
| | - Lukas Unger
- Section of Transplantation Immunology, Department of Surgery, and
| | - Karin Hock
- Section of Transplantation Immunology, Department of Surgery, and
| | | | | | - Ulrike Baranyi
- Section of Transplantation Immunology, Department of Surgery, and
| | - Fritz Wrba
- Institute of Clinical Pathology, Medical University of Vienna, Vienna, Austria
| | - Thomas Wekerle
- Section of Transplantation Immunology, Department of Surgery, and
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