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Gore EJ, Gard L, Niesters HGM, Van Leer Buter CC. Understanding torquetenovirus (TTV) as an immune marker. Front Med (Lausanne) 2023; 10:1168400. [PMID: 37384041 PMCID: PMC10296770 DOI: 10.3389/fmed.2023.1168400] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 05/02/2023] [Indexed: 06/30/2023] Open
Abstract
Torquetenovirus (TTV), a small, single stranded anellovirus, is currently being explored as a marker of immunocompetence in patients with immunological impairment and inflammatory disorders. TTV has an extremely high prevalence and is regarded as a part of the human virome, the replication of which is controlled by a functioning immune system. The viral load of TTV in plasma of individuals is thought to reflect the degree of immunosuppression. Measuring and quantifying this viral load is especially promising in organ transplantation, as many studies have shown a strong correlation between high TTV loads and increased risk of infection on one side, and low TTV loads and an increased risk of rejection on the other side. As clinical studies are underway, investigating if TTV viral load measurement is superior for gauging antirejection therapy compared to medication-levels, some aspects nevertheless have to be considered. In contrast with medication levels, TTV loads have to be interpreted bearing in mind that viruses have properties including transmission, tropism, genotypes and mutations. This narrative review describes the potential pitfalls of TTV measurement in the follow-up of solid organ transplant recipients and addresses the questions which remain to be answered.
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2
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Roberts MB, Fishman JA. Immunosuppressive Agents and Infectious Risk in Transplantation: Managing the "Net State of Immunosuppression". Clin Infect Dis 2020; 73:e1302-e1317. [PMID: 32803228 DOI: 10.1093/cid/ciaa1189] [Citation(s) in RCA: 109] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Indexed: 12/14/2022] Open
Abstract
Successful solid organ transplantation reflects meticulous attention to the details of immunosuppression, balancing risks for graft rejection against risks for infection. The 'net state of immune suppression' is a conceptual framework of all factors contributing to infectious risk. Assays which measure immune function in the immunosuppressed transplant recipient relative to infectious risk and allograft function are lacking. The best measures of integrated immune function may be quantitative viral loads to assess the individual's ability to control latent viral infections. Few studies address adjustment of immunosuppression during active infections. Thus, confronted with infection in solid organ recipients, the management of immunosuppression is based largely on clinical experience. This review examines known measures of immune function and the immunologic effects of common immunosuppressive drugs and available studies reporting modification of drug regimens for specific infections. These data provide a conceptual framework for the management of immunosuppression during infection in organ recipients.
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Affiliation(s)
- Matthew B Roberts
- Transplant Infectious Disease and Compromised Host Program and Transplant Center, Massachusetts General Hospital, Boston MA
| | - Jay A Fishman
- Transplant Infectious Disease and Compromised Host Program and Transplant Center, Massachusetts General Hospital, Boston MA.,Harvard Medical School, Boston, MA
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3
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Fernández-Ruiz M, López-Medrano F, Aguado JM. Predictive tools to determine risk of infection in kidney transplant recipients. Expert Rev Anti Infect Ther 2020; 18:423-441. [PMID: 32084326 DOI: 10.1080/14787210.2020.1733976] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Introduction: Infection represents a major complication after kidney transplantation (KT). Therapeutic drug monitoring is essentially the only approach for the adjustment of immunosuppression in current practice, with suboptimal results. The implementation of immune monitoring strategies may contribute to minimizing the risk of adverse events attributable to over-immunosuppression without compromising graft outcomes.Areas covered: The present review (based on PubMed/MEDLINE searches from database inception to November 2019) is focused on immune biomarkers with no antigen specificity (non-pathogen-specific), including serum levels of immunoglobulins and complement factors, peripheral blood lymphocyte subpopulations, soluble CD30, intracellular ATP production by stimulated CD4+ T-cells, and other cell-based immune assays. We also summarized recent advances in the use of replication kinetics of latent viruses to assess the functionality of T-cell immunity, with focus on the nonpathogenic anelloviruses. Finally, the composite risk scores reported in the literature are critically discussed.Expert opinion: Notable efforts have been made to develop an enlarging repertoire of immune biomarkers and prediction models, although most of them still lack technical standardization and external validation. Preventive interventions based on these tools (prolongation of prophylaxis, tapering of immunosuppression, or immunoglobulin replacement therapy in hypogammaglobulinemic patients) remain to be defined, ideally in the context of controlled trials.
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Affiliation(s)
- Mario Fernández-Ruiz
- Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Sanitaria Hospital "12 de Octubre" (Imas12), Madrid, Spain.,Spanish Network for Research in Infectious Diseases (REIPI RD16/0016/0002), Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco López-Medrano
- Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Sanitaria Hospital "12 de Octubre" (Imas12), Madrid, Spain.,Spanish Network for Research in Infectious Diseases (REIPI RD16/0016/0002), Instituto de Salud Carlos III, Madrid, Spain.,School of Medicine, Universidad Complutense, Madrid, Spain
| | - José María Aguado
- Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Sanitaria Hospital "12 de Octubre" (Imas12), Madrid, Spain.,Spanish Network for Research in Infectious Diseases (REIPI RD16/0016/0002), Instituto de Salud Carlos III, Madrid, Spain.,School of Medicine, Universidad Complutense, Madrid, Spain
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4
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Mirzakhani M, Shahbazi M, Akbari R, Dedinská I, Nemati E, Mohammadnia-Afrouzi M. Soluble CD30, the Immune Response, and Acute Rejection in Human Kidney Transplantation: A Systematic Review and Meta-Analysis. Front Immunol 2020; 11:295. [PMID: 32256486 PMCID: PMC7093023 DOI: 10.3389/fimmu.2020.00295] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 02/05/2020] [Indexed: 01/08/2023] Open
Abstract
Soluble CD30 (sCD30) is considered to be a marker for the activated immune system in which T cells can damage the allograft. Some studies reported that post-transplant sCD30 can predict early acute rejection and can thereby be used as a biomarker to detect acute rejection. However, several other studies found no relation between post-transplant sCD30 and acute rejection. This meta-analysis study aims to answer this main question of whether sCD30 can help clinicians to monitor transplant recipients. The electronic databases, including PubMed, Web of Science, ProQuest, Embase, Scopus, Google Scholar, the gray literature, and the key journals, were searched for observational studies from 1 January 1990 up to 30 April 2018. Eighteen studies, with a total of 1,453 patients, were included in this paper. With regard to the different measurement times, post-transplant sCD30 was separately analyzed and divided into five groups (i.e., 1, 2, 3, 4 week, and 1 month post-transplant sCD30). All groups indicated a strong association between sCD30 and the acute rejection. The standardized mean difference (SMD) is 1.22 in 1 week, 0.77 in 2 week, 1.11 in 3 week, 1.27 in 4 week, and 0.71 in 1 month groups. The association between sCD30 and acute rejection was consistent across all the subgroup analyses. We found that post-transplant sCD30 had a strong association with acute kidney rejection. We also found that the deceased donors had more association with the high amount of sCD30 than living donors in patients with acute rejection. Finally, we realized that donor type was an important factor leading to the heterogeneous results in the primary studies.
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Affiliation(s)
- Mohammad Mirzakhani
- Student Research Committee, School of Medicine, Babol University of Medical Sciences, Babol, Iran.,Immunoregulation Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Mehdi Shahbazi
- Immunoregulation Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.,Cellular and Molecular Biology Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Roghayeh Akbari
- Kidney Transplantation Center, Shahid Beheshti Hospital, Babol University of Medical Sciences, Babol, Iran
| | - Ivana Dedinská
- Surgery Clinic and Transplant Center, University Hospital Martin and Jessenius Faculty of Medicine Comenius University, Martin, Slovakia
| | - Eghlim Nemati
- Nephrology and Urology Research Center, Baqiyatollah University of Medical Sciences, Tehran, Iran
| | - Mousa Mohammadnia-Afrouzi
- Immunoregulation Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.,Cellular and Molecular Biology Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
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5
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Dendle C, Mulley WR, Holdsworth S. Can immune biomarkers predict infections in solid organ transplant recipients? A review of current evidence. Transplant Rev (Orlando) 2018; 33:87-98. [PMID: 30551846 DOI: 10.1016/j.trre.2018.10.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Revised: 10/01/2018] [Accepted: 10/02/2018] [Indexed: 12/12/2022]
Abstract
Despite improvements in graft survival, solid organ transplantation is still associated with considerable infection induced morbidity and mortality. If we were able to show that serious infection risk was associated with excessive suppression of immune capacity, we would be justified in "personalizing" the extent of immunosuppression by carefully monitored reduction to see if we can improve immune compromize without increasing the risk of rejection. Reliable biomarkers are needed to identify this patients at an increased risk of infection. This review focuses on the currently available evidence in solid organ transplant recipients for immune non-pathogen specific biomarkers to predict severe infections with the susceptibility to particular pathogens according to the component of the immune system that is suppressed. This review is categorized into immune biomarkers representative of the humoral, cellular, phagocytic, natural killer cell and complement system. Biomarkers humoral and cellular systems of the that have demonstrated an association with infections include immunoglobulins, lymphocyte number, lymphocyte subsets, intracellular concentrations of adenosine triphosphate in stimulated CD4+ cells and soluble CD30. Biomarkers of the innate immune system that have demonstrated an association with infections include natural killer cell numbers, complement and mannose binding lectin. Emerging evidence shows that quantification of viral nucleic acid (such as Epstein Barr Virus) can act as a biomarker to predict all-cause infections. Studies that show the most promise are those in which several immune biomarkers are assessed in combination. Ongoing research is required to validate non-pathogen specific immune biomarkers in multi-centre studies using standardized study designs.
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Affiliation(s)
- Claire Dendle
- Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University and Monash Infectious Diseases, Monash Health, Australia.
| | - William R Mulley
- Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Australia; Department of Nephrology, Monash Medical Centre, Clayton, Victoria 3168, Australia.
| | - Stephen Holdsworth
- Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Australia; Department of Nephrology, Monash Medical Centre, Clayton, Victoria 3168, Australia.
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6
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Trailin AV, Ostapenko TI, Nykonenko TN, Nesterenko SN, Nykonenko OS. Peritransplant Soluble CD30 as a Risk Factor for Slow Kidney Allograft Function, Early Acute Rejection, Worse Long-Term Allograft Function, and Patients' Survival. DISEASE MARKERS 2017; 2017:9264904. [PMID: 28694560 PMCID: PMC5485490 DOI: 10.1155/2017/9264904] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Revised: 03/27/2017] [Accepted: 04/11/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND We aimed to determine whether serum soluble CD30 (sCD30) could identify recipients at high risk for unfavorable early and late kidney transplant outcomes. METHODS Serum sCD30 was measured on the day of kidney transplantation and on the 4th day posttransplant. We assessed the value of these measurements in predicting delayed graft function, slow graft function (SGF), acute rejection (AR), pyelonephritis, decline of allograft function after 6 months, and graft and patient survival during 5 years of follow-up in 45 recipients. RESULTS We found the association between low pretransplant serum levels of sCD30 and SGF. The absence of significant decrease of sCD30 on the 4th day posttransplant was characteristic for SGF, early AR (the 8th day-6 months), late AR (>6 months), and early pyelonephritis (the 8th day-2 months). Lower pretransplant and posttransplant sCD30 predicted worse allograft function at 6 months and 2 years, respectively. Higher pretransplant sCD30 was associated with higher frequency of early AR, and worse patients' survival, but only in the recipients of deceased-donor graft. Pretransplant sCD30 also allowed to differentiate patients with early pyelonephritis and early AR. CONCLUSIONS Peritransplant sCD30 is useful in identifying patients at risk for unfavorable early and late transplant outcomes.
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Affiliation(s)
- Andriy V. Trailin
- Department of Laboratory Diagnostics and General Pathology, State Institution “Zaporizhzhia Medical Academy of Postgraduate Education Ministry of Health of Ukraine”, 20 Winter Boulevard, Zaporizhzhia 69096, Ukraine
| | - Tetyana I. Ostapenko
- Department of Transplantology, Endocrine Surgery and Cardiovascular Surgery, State Institution “Zaporizhzhia Medical Academy of Postgraduate Education Ministry of Health of Ukraine”, Zaporizhzhia Regional Hospital, 10 Orikhiv Highway, Zaporizhzhia 69050, Ukraine
| | - Tamara N. Nykonenko
- Institute of Cardiovascular Surgery and Transplantology, State Institution “Zaporizhzhia Medical Academy of Postgraduate Education Ministry of Health of Ukraine”, 20 Winter Boulevard, Zaporizhzhia 69096, Ukraine
| | - Svitlana N. Nesterenko
- Immunological Laboratory, Zaporizhzhia Regional Hospital, State Institution “Zaporizhzhia Medical Academy of Postgraduate Education Ministry of Health of Ukraine”, 10 Orikhiv Highway, Zaporizhzhia 69050, Ukraine
| | - Olexandr S. Nykonenko
- Department of Transplantology, Endocrine Surgery and Cardiovascular Surgery, State Institution “Zaporizhzhia Medical Academy of Postgraduate Education Ministry of Health of Ukraine”, Zaporizhzhia Regional Hospital, 10 Orikhiv Highway, Zaporizhzhia 69050, Ukraine
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7
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Fernández-Ruiz M, Parra P, López-Medrano F, Ruiz-Merlo T, González E, Polanco N, Origüen J, San Juan R, Andrés A, Aguado JM. Serum sCD30: A promising biomarker for predicting the risk of bacterial infection after kidney transplantation. Transpl Infect Dis 2017; 19. [PMID: 28122147 DOI: 10.1111/tid.12668] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 10/08/2016] [Indexed: 12/13/2022]
Abstract
BACKGROUND The transmembrane glycoprotein CD30 contributes to regulate the balance between Th1 and Th2 responses. Previous studies have reported conflicting results on the utility of its soluble form (sCD30) to predict post-transplant infection. METHODS Serum sCD30 was measured by a commercial ELISA assay at baseline and post-transplant months 1, 3, and 6 in 100 kidney transplant (KT) recipients (279 monitoring points). The impact of sCD30 levels on the incidence of overall, bacterial and opportunistic infection during the first 12 months after transplantation was assessed by Cox regression. RESULTS There were no differences in serum sCD30 according to the occurrence of overall or opportunistic infection. However, sCD30 levels were higher in patients with bacterial infection compared to those without at baseline (P=.038) and months 1 (P<.0001), 3 (P=.043), and 6 after transplantation (P=.006). Patients with baseline sCD30 levels ≥13.5 ng/mL had lower 12-month bacterial infection-free survival (35.0% vs 80.0%; P<.0001). After adjusting for potential confounders, baseline sCD30 levels ≥13.5 ng/mL remained as an independent risk factor for bacterial infection (adjusted hazard ratio [aHR]: 4.65; 95% confidence interval [CI]: 2.05-10.53; <.001). Analogously, sCD30 levels ≥6.0 ng/mL at month 1 acted as a risk factor for subsequent bacterial infection (aHR: 5.29; 95% CI: 1.11-25.14; P=.036). CONCLUSION Higher serum sCD30 levels were associated with an increased risk of bacterial infection after KT. We hypothesize that this biomarker reflects a Th2 -polarized T-cell response, which exerts a detrimental effect on the immunity against bacterial pathogens.
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Affiliation(s)
- Mario Fernández-Ruiz
- Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Hospital "12 de Octubre" (i+12), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Patricia Parra
- Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Hospital "12 de Octubre" (i+12), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Francisco López-Medrano
- Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Hospital "12 de Octubre" (i+12), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Tamara Ruiz-Merlo
- Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Hospital "12 de Octubre" (i+12), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Esther González
- Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Hospital "12 de Octubre" (i+12), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Natalia Polanco
- Department of Nephrology, Hospital Universitario "12 de Octubre", Instituto de Investigación Hospital "12 de Octubre" (i+12), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Julia Origüen
- Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Hospital "12 de Octubre" (i+12), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Rafael San Juan
- Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Hospital "12 de Octubre" (i+12), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Amado Andrés
- Department of Nephrology, Hospital Universitario "12 de Octubre", Instituto de Investigación Hospital "12 de Octubre" (i+12), School of Medicine, Universidad Complutense, Madrid, Spain
| | - José María Aguado
- Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Hospital "12 de Octubre" (i+12), School of Medicine, Universidad Complutense, Madrid, Spain
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8
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Valke LLFG, van Cranenbroek B, Hilbrands LB, Joosten I. Soluble CD30 does not predict late acute rejection or safe tapering of immunosuppression in renal transplantation. Transpl Immunol 2014; 32:18-22. [PMID: 25446808 DOI: 10.1016/j.trim.2014.10.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2014] [Revised: 10/27/2014] [Accepted: 10/28/2014] [Indexed: 10/24/2022]
Abstract
BACKGROUND Previous reports revealed the potential value of the soluble CD30 level (sCD30) as biomarker for the risk of acute rejection and graft failure after renal transplantation, here we examined its use for the prediction of safe tapering of calcineurin inhibitors as well as late acute rejection. METHODS In a cohort of renal transplant patients receiving triple immunosuppressive therapy we examined whether sCD30 can be used as a marker for safe (rejection-free) discontinuation of tacrolimus at six months after transplantation (TDS cohort: 24 rejectors and 44 non-rejecting controls). Also, in a second cohort of patients (n=22, rejectors n=11 and non-rejectors n=11), participating in a clinical trial of rituximab as induction therapy after renal transplantation (RITS cohort), we examined whether sCD30 could predict the occurrence of late (>3months post-transplant) acute rejection episodes. sCD30 was measured by ELISA in serum taken before and at several time points after transplantation. RESULTS Overall, in the TDS cohort sCD30 decreased after transplantation. No difference in sCD30 was observed between rejectors and non-rejecting controls at any of the time points measured. In addition, in the RITS cohort, sCD30 measured at three months after transplantation were not indicative for the occurrence of late acute rejection. CONCLUSION In two prospectively followed cohorts of renal transplant patients we found no association between sCD30 and the occurrence of either late acute rejection or acute rejection after reduction of immunosuppression.
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Affiliation(s)
- Lars L F G Valke
- Department of Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Centre, PO Box 9101 6500HB Nijmegen, the Netherlands; Department of Nephrology, Radboud University Medical Centre, PO Box 9101 6500HB Nijmegen, the Netherlands.
| | - Bram van Cranenbroek
- Department of Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Centre, PO Box 9101 6500HB Nijmegen, the Netherlands.
| | - Luuk B Hilbrands
- Department of Nephrology, Radboud University Medical Centre, PO Box 9101 6500HB Nijmegen, the Netherlands.
| | - Irma Joosten
- Department of Laboratory Medicine, Laboratory of Medical Immunology, Radboud University Medical Centre, PO Box 9101 6500HB Nijmegen, the Netherlands.
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9
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Noninvasive allograft imaging of acute rejection: evaluation of (131)I-anti-CXCL10 mAb. Inflammation 2014; 38:456-64. [PMID: 25338944 DOI: 10.1007/s10753-014-0050-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
The purpose of this study was to investigate the use of iodine-131-labeled anti-CXCL10 mAb as tracer targeted at CXCL10 to detect acute rejection (AR) with mice model. Expression of CXCL10 was proved by RT-PCR, ELISA, and immunochemistry staining. All groups were submitted to whole-body autoradioimaging and ex vivo biodistribution studies after tail vein injection of (131)I-anti-CXCL10 mAb. The highest concentration/expression of CXCL10 was detected in allograft tissue compared with allograft treated with tacrolimus and isograft control. Tacrolimus could obviously inhibit the rejection of allograft. Allograft could be obviously imaged at all checking points, much clearer than the other two groups. The biodistribution results showed the highest uptake of radiotracer in allograft. T/NT (target/nontarget) ratio was 4.15 ± 0.25 at 72 h, apparently different from allograft treated with tacrolimus (2.29 ± 0.10), P < 0.05. These data suggest that CXCL10 is a promising target for early stage AR imaging and (131)I-CXCL10 mAb can successfully image AR and monitor the effect of immunosuppressant.
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10
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Clinical immune-monitoring strategies for predicting infection risk in solid organ transplantation. Clin Transl Immunology 2014; 3:e12. [PMID: 25505960 PMCID: PMC4232060 DOI: 10.1038/cti.2014.3] [Citation(s) in RCA: 91] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2013] [Revised: 01/28/2014] [Accepted: 01/28/2014] [Indexed: 02/06/2023] Open
Abstract
Infectious complications remain a leading cause of morbidity and mortality after solid organ transplantation (SOT), and largely depend on the net state of immunosuppression achieved with current regimens. Cytomegalovirus (CMV) is a major opportunistic viral pathogen in this setting. The application of strategies of immunological monitoring in SOT recipients would allow tailoring of immunosuppression and prophylaxis practices according to the individual's actual risk of infection. Immune monitoring may be pathogen-specific or nonspecific. Nonspecific immune monitoring may rely on either the quantification of peripheral blood biomarkers that reflect the status of a given arm of the immune response (serum immunoglobulins and complement factors, lymphocyte sub-populations, soluble form of CD30), or on the functional assessment of T-cell responsiveness (release of intracellular adenosine triphosphate following a mitogenic stimulus). In addition, various methods are currently available for monitoring pathogen-specific responses, such as CMV-specific T-cell-mediated immune response, based on interferon-γ release assays, intracellular cytokine staining or main histocompatibility complex-tetramer technology. This review summarizes the clinical evidence to date supporting the use of these approaches to the post-transplant immune status, as well as their potential limitations. Intervention studies based on validated strategies for immune monitoring still need to be performed.
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11
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Abstract
PURPOSE OF REVIEW Tailoring immunosuppressive drugs to an individual's needs is crucial to improve long-term outcomes of organ transplant patients. The purpose of this review is to summarize the data on promising biomarkers able to detect the risk of acute or chronic rejection and to discuss the potential issues for their implementation in the clinic. RECENT FINDINGS Multiple publications have indicated that circulating antibodies targeting human leukocyte antigen (HLA) and non-HLA antigens as well as donor-specific memory T cells are associated with accelerated graft failure. Other studies published within the year show that specific genomic and proteomic signatures obtained from urine, blood, and graft tissue correlate with acute rejection in kidney and heart transplant patients. SUMMARY The development of reliable biomarkers is crucial for individualizing therapy aimed at extending allograft survival and improving patient health. Emerging data indicate that monitoring assays, likely used in panels, have the potential to be diagnostic and possibly predictive of long-term outcome. In addition to ongoing discovery efforts, progress in the field will require multicenter validation, assay standardization, and commercialization so as to efficiently deliver reliable testing strategies to the practicing clinician.
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12
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Post-transplant monitoring of soluble CD30 level as predictor of graft outcome: A single center experience from China. Transpl Immunol 2012; 27:146-50. [DOI: 10.1016/j.trim.2012.10.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2012] [Revised: 10/08/2012] [Accepted: 10/08/2012] [Indexed: 11/21/2022]
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13
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Pretransplantation Soluble CD30 Level As a Predictor of Acute Rejection in Kidney Transplantation. Transplantation 2012; 94:911-8. [DOI: 10.1097/tp.0b013e31826784ad] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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14
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Wang D, Wu G, Chen J, Yu Z, Wu W, Yang S, Tan J. Predicting renal graft failure by sCD30 levels and de novo HLA antibodies at 1year post-transplantation. Transpl Immunol 2012; 26:235-9. [PMID: 22446727 DOI: 10.1016/j.trim.2012.03.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2012] [Revised: 03/06/2012] [Accepted: 03/06/2012] [Indexed: 10/28/2022]
Abstract
HLA antibodies and sCD30 levels were detected in the serum sampled from 620 renal graft recipients at 1 year post-transplantation, which were followed up for 5 years. Six-year graft and patient survivals were 81.6% and 91.0%. HLA antibodies were detected in 45 recipients (7.3%), of whom there were 14 cases with class I antibodies, 26 cases with class II, and 5 cases with both class I and II. Much more graft loss was record in recipients with HLA antibodies than those without antibodies (60% vs. 15.1%, p<0.001). Significantly higher sCD30 levels were recorded in recipients suffering graft loss than the others (73.9±48.8 U/mL vs. 37.3±14.6 U/mL, p<0.001). Compared with those with high sCD30 levels, recipients with low sCD30 levels (<50 U/mL) had much better 6-year graft survival (92.4% vs. 46.6%, p<0.001). Further statistical analysis showed that detrimental effect of de novo HLA antibodies and high sCD30 on graft survival was not only independent but also additive. Therefore, post-transplantation monitoring of HLA antibodies and sCD30 levels is necessary and recipients with elevated sCD30 level and/or de novo HLA antibody should be paid more attention in order to achieve better graft survival.
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Affiliation(s)
- Dong Wang
- Organ Transplant Institute, Fuzhou General Hospital, Fuzhou 350025, China.
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15
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Heidt S, San Segundo D, Shankar S, Mittal S, Muthusamy ASR, Friend PJ, Fuggle SV, Wood KJ. Peripheral blood sampling for the detection of allograft rejection: biomarker identification and validation. Transplantation 2011; 92:1-9. [PMID: 21494177 DOI: 10.1097/tp.0b013e318218e978] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Currently, acute allograft rejection can only be detected reliably by deterioration of graft function confirmed by allograft biopsy. A huge drawback of this method of diagnosis is that substantial organ damage has already taken place at the time that rejection is diagnosed. Discovering and validating noninvasive biomarkers that predict acute rejection, and chronic allograft dysfunction, is of great importance. Many studies have investigated changes in the peripheral blood in an attempt to find biomarkers that reflect changes in the graft directly or indirectly. Herein, we will review the promises and limitations of the peripheral blood biomarkers that have been described in the literature so far.
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Affiliation(s)
- Sebastiaan Heidt
- Transplant Research Immunology Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
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Budde K, Matz M, Dürr M, Glander P. Biomarkers of over-immunosuppression. Clin Pharmacol Ther 2011; 90:316-22. [PMID: 21716278 DOI: 10.1038/clpt.2011.111] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- K Budde
- Department of Nephrology, Charité Universitätsmedizin Berlin, Berlin, Germany.
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