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Shankaranarayanan D, Mantri M, Lagman M, Li C, Sharma VK, Muthukumar T, Xiang JZ, De Vlaminck I, Machaca K, Suthanthiran M. Blockade of store-operated calcium entry by BTP2 preserves anti-inflammatory gene expression in human peripheral blood mononuclear cells. Hum Immunol 2024; 85:111144. [PMID: 39332042 DOI: 10.1016/j.humimm.2024.111144] [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: 07/12/2024] [Revised: 08/29/2024] [Accepted: 09/11/2024] [Indexed: 09/29/2024]
Abstract
Store-operated calcium entry (SOCE) is essential for cellular signaling. Earlier studies of the pyrazole derivative BTP2, an efficient inhibitor SOCE, identified that SOCE blockade suppresses proinflammatory gene expression. The impact of SOCE blockade on gene expression at the whole transcriptome level, however, is unknown. To fill this gap, we performed RNA sequencing (RNA-seq) and investigated at the whole transcriptome level the effect of BTP2 on gene expression in human peripheral blood mononuclear cells signaled with phytohemagglutinin. Our global gene expression analysis identified that SOCE blockade spares activation-induced expression of anti-inflammatory genes (e.g., IL10, TGFB1, FOXP3, and CTLA4) whereas the induced expression of proinflammatory genes such as IFNG and cytopathic genes such as GZMB are inhibited. We validated the differential expression of immunoregulatory genes identified by RNA-seq using preamplification-enhanced RT-qPCR assays. Because IL-2/IL2RA interaction is essential for T cell clonal expansion, we investigated and confirmed that BTP2 inhibits IL2RA expression at the protein level using multiparameter flow cytometry. Our elucidation that SOCE blockade spares activation-induced expression of anti-inflammatory genes while blocking pro-inflammatory gene expression suggests that SOCE blockers may represent a novel class of immunoregulatory drugs of value for treating autoimmune disease states and organ transplantation.
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Affiliation(s)
- Divya Shankaranarayanan
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian Hospital-Weill Cornell Medicine, New York, NY, USA
| | - Madhav Mantri
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Mila Lagman
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Carol Li
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Vijay K Sharma
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Thangamani Muthukumar
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian Hospital-Weill Cornell Medicine, New York, NY, USA
| | - Jenny Z Xiang
- Genomics Resources Core Facility, Department of Microbiology and Immunology, Weill Cornell Medical College, New York, NY, USA
| | - Iwijn De Vlaminck
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Khaled Machaca
- Calcium Signaling Group, Research Department, Weill Cornell Medicine Qatar, Education City, Qatar Foundation, Doha, Qatar; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian Hospital-Weill Cornell Medicine, New York, NY, USA.
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2
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Tinel C, Sauvaget V, Aouni L, Lamarthée B, Terzi F, Legendre C, Rabant M, Anglicheau D. Transforming kidney transplant monitoring with urine CXCL9 and CXCL10: practical clinical implementation. Sci Rep 2024; 14:20357. [PMID: 39223175 PMCID: PMC11369285 DOI: 10.1038/s41598-024-70390-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 08/16/2024] [Indexed: 09/04/2024] Open
Abstract
In kidney transplant recipients, urine CXCL9 and CXCL10 (uCXCL9/10) chemokines have reached a sufficiently high level of evidence to be recommended by the European Society of Organ Transplantation for the monitoring of immune quiescence. To assess the risk of acute rejection (AR), the advantage of uCXCL9/10 is their cost-effectiveness and their high diagnostic performance. Here, we evaluated the feasibility of a next-generation immunoassay for quantifying uCXCL9/10 levels. It demonstrated high efficiency with minimal workflow and a 90-min time to result. Preanalytical studies indicated stability of uCXCL9/10 levels and analytical studies confirmed excellent linearity and precision. In a cohort of 1048 samples collected at biopsy, the results correlated significantly with ELISA quantification and were integrated into a previously validated 8-parameter urine chemokine model. The next generation immunoassay achieved an accuracy of 0.84 for AR diagnosis. This study validates this technology as a robust, locally available and unexpensive platform and marks a significant step towards the widespread implementation of uCXCL9/10, for immune quiescence monitoring. Therefore, we developed an open-access web application using uCXCL9/10 to calculate AR risk and improve clinical decision-making to perform biopsy, ushering in a new era in kidney transplantation, where personalized, data-driven care becomes the norm.
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Affiliation(s)
- Claire Tinel
- Necker-Enfants Malades Institute, Inserm U1151, Paris Cité University, Paris, France.
- Department of Nephrology and Kidney Transplantation, Dijon University Hospital, Dijon, France.
| | - Virginia Sauvaget
- Necker-Enfants Malades Institute, Inserm U1151, Paris Cité University, Paris, France
| | - Laïla Aouni
- Department of Nephrology and Kidney Transplantation, Necker Hospital, APHP, Paris, France
| | - Baptiste Lamarthée
- University of Franche-Comté, UBFC, EFS, Inserm, UMR RIGHT, Besançon, France
| | - Fabiola Terzi
- Necker-Enfants Malades Institute, Inserm U1151, Paris Cité University, Paris, France
| | - Christophe Legendre
- Department of Nephrology and Kidney Transplantation, Necker Hospital, APHP, Paris, France
| | - Marion Rabant
- Necker-Enfants Malades Institute, Inserm U1151, Paris Cité University, Paris, France
- Pathology Department, Necker Hospital, APHP, Paris, France
| | - Dany Anglicheau
- Necker-Enfants Malades Institute, Inserm U1151, Paris Cité University, Paris, France
- Department of Nephrology and Kidney Transplantation, Necker Hospital, APHP, Paris, France
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3
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Ettenger RB, Seifert ME, Blydt-Hansen T, Briscoe DM, Holman J, Weng PL, Srivastava R, Fleming J, Malekzadeh M, Pearl M. Detection of Subclinical Rejection in Pediatric Kidney Transplantation: Current and Future Practices. Pediatr Transplant 2024; 28:e14836. [PMID: 39147695 DOI: 10.1111/petr.14836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 07/19/2024] [Accepted: 07/22/2024] [Indexed: 08/17/2024]
Abstract
INTRODUCTION The successes in the field of pediatric kidney transplantation over the past 60 years have been extraordinary. Year over year, there have been significant improvements in short-term graft survival. However, improvements in longer-term outcomes have been much less apparent. One important contributor has been the phenomenon of low-level rejection in the absence of clinical manifestations-so-called subclinical rejection (SCR). METHODS Traditionally, rejection has been diagnosed by changes in clinical parameters, including but not limited to serum creatinine and proteinuria. This review examines the shortcomings of this approach, the effects of SCR on kidney allograft outcome, the benefits and drawbacks of surveillance biopsies to identify SCR, and new urine and blood biomarkers that define the presence or absence of SCR. RESULTS Serum creatinine is an unreliable index of SCR. Surveillance biopsies are the method most utilized to detect SCR. However, these have significant drawbacks. New biomarkers show promise. These biomarkers include blood gene expression profiles and donor derived-cell free DNA; urine gene expression profiles; urinary cytokines, chemokines, and metabolomics; and other promising blood and urine tests. CONCLUSION Specific emphasis is placed on studies carried out in pediatric kidney transplant recipients. TRIAL REGISTRATION ClinicalTrials.gov: NCT03719339.
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Affiliation(s)
- Robert B Ettenger
- Division of Nephrology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Michael E Seifert
- Division of Pediatric Nephrology, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Tom Blydt-Hansen
- Multi-Organ Transplant Program, British Columbia Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - David M Briscoe
- Division of Nephrology, Department of Pediatrics Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - John Holman
- Transplant Genomics Inc., Framingham, Massachusetts, USA
| | - Patricia L Weng
- Division of Nephrology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Rachana Srivastava
- Division of Nephrology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - James Fleming
- Transplant Genomics Inc., Framingham, Massachusetts, USA
| | - Mohammed Malekzadeh
- Division of Nephrology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Meghan Pearl
- Division of Nephrology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
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4
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Salinas T, Li C, Snopkowski C, Sharma VK, Dadhania DM, Suhre K, Muthukumar T, Suthanthiran M. A universal urinary cell gene signature of acute rejection in kidney allografts. J Immunol Methods 2024; 532:113714. [PMID: 38936464 PMCID: PMC11349041 DOI: 10.1016/j.jim.2024.113714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 06/18/2024] [Accepted: 06/24/2024] [Indexed: 06/29/2024]
Abstract
INTRODUCTION Acute rejection (AR) undermines the life-extending benefits of kidney transplantation and is diagnosed using the invasive biopsy procedure. T cell-mediated rejection (TCMR), antibody-mediated rejection (ABMR), or concurrent TCMR + ABMR (Mixed Rejection [MR]) are the three major types of AR. Development of noninvasive biomarkers diagnostic of AR due to any of the three types is a useful addition to the diagnostic armamentarium. METHODS We developed customized RT-qPCR assays and measured urinary cell mRNA copy numbers in 145 biopsy-matched urine samples from 126 kidney allograft recipients. We determined whether the urinary cell three-gene signature diagnostic of TCMR (Suthanthiran et al., 2013) discriminates patients with no rejection biopsies (NR, n = 50) from those with ABMR (n = 28) or MR (n = 20) biopsies. RESULTS The urinary cell three-gene signature discriminated all three types of rejection biopsies from NR biopsies (P < 0.0001, One-way ANOVA). Dunnett's multiple comparisons test yielded P < 0.0001 for NR vs. TCMR; P < 0.001 for NR vs. ABMR; and P < 0.0001 for NR vs. MR. By bootstrap resampling, optimism-corrected area under the receiver operating characteristic curve (AUC) was 0.749 (bias-corrected 95% confidence interval [CI], 0.638 to 0.840) for NR vs. TCMR (P < 0.0001); 0.780 (95% CI, 0.656 to 0.878) for NR vs. ABMR (P < 0.0001); and 0.857 (95% CI, 0.727 to 0.947) for NR vs. MR (P < 0.0001). All three rejection categories were distinguished from NR biopsies with similar accuracy (all AUC comparisons P > 0.05). CONCLUSION The urinary cell three-gene signature score discriminates AR due to TCMR, ABMR or MR from NR biopsies in human kidney allograft recipients.
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Affiliation(s)
- Thalia Salinas
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian/Weill Cornell Medical Center, New York, NY, USA.
| | - Carol Li
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Catherine Snopkowski
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Vijay K Sharma
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Darshana M Dadhania
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian/Weill Cornell Medical Center, New York, NY, USA
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Doha, Qatar
| | - Thangamani Muthukumar
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian/Weill Cornell Medical Center, New York, NY, USA
| | - Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian/Weill Cornell Medical Center, New York, NY, USA
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5
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Goutaudier V, Danger R, Catar RA, Racapé M, Philippe A, Elias M, Raynaud M, Aubert O, Bouton D, Girardin F, Vicaut É, Yaiche S, Demotes J, Heidecke H, Taupin JL, Randoux-Lebrun C, Zaidan M, Papuchon E, Le Mai H, Nguyen TVH, Moreso F, Berney T, Villard J, Legendre C, Dragun D, Papalois V, Potena L, Giral M, Gourraud PA, Brouard S, Crespo E, Halleck F, Budde K, Bestard O, Loupy A, Lefaucheur C. Evaluation of non-invasive biomarkers of kidney allograft rejection in a prospective multicenter unselected cohort study (EU-TRAIN). Kidney Int 2024:S0085-2538(24)00565-9. [PMID: 39197587 DOI: 10.1016/j.kint.2024.07.027] [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: 12/27/2023] [Revised: 06/25/2024] [Accepted: 07/26/2024] [Indexed: 09/01/2024]
Abstract
Non-invasive biomarkers are promising tools for improving kidney allograft rejection monitoring, but their clinical adoption requires more evidence in specifically designed studies. To address this unmet need, we designed the EU-TRAIN study, a large prospective multicentric unselected cohort funded by the European Commission. Here, we included consecutive adult patients who received a kidney allograft in nine European transplant centers between November 2018 and June 2020. We prospectively assessed gene expression levels of 19 blood messenger RNAs, four antibodies targeting non-human leukocyte antigen (HLA) endothelial antigens, together with circulating anti-HLA donor-specific antibodies (DSA). The primary outcome was allograft rejection (antibody-mediated, T cell-mediated, or mixed) in the first year post-transplantation. Overall, 412 patients were included, with 812 biopsies paired with a blood sample. CD4 gene expression was significantly associated with rejection, while circulating anti-HLA DSA had a significant association with allograft rejection and a strong association with antibody-mediated rejection. All other tested biomarkers, including AKR1C3, CD3E, CD40, CD8A, CD9, CTLA4, ENTPD1, FOXP3, GZMB, ID3, IL7R, MS4A1, MZB1, POU2AF1, POU2F1, TCL1A, TLR4, and TRIB1, as well as antibodies against angiotensin II type 1 receptor, endothelin 1 type A receptor, C3a and C5a receptors, did not show significant associations with allograft rejection. The blood messenger RNAs and non-HLA antibodies did not show an additional value beyond standard of care monitoring parameters and circulating anti-HLA DSA to predict allograft rejection in the first year post-transplantation. Thus, our results open avenues for specifically designed studies to demonstrate the clinical relevance and implementation of other candidate non-invasive biomarkers in kidney transplantation practice.
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Affiliation(s)
- Valentin Goutaudier
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France; Department of Kidney Transplantation, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Richard Danger
- Centre Hospitalier Universitaire (CHU) Nantes, Nantes University, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, ITUN, Nantes, France
| | - Rusan Ali Catar
- Department of Nephrology and Internal Intensive Care Medicine, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
| | - Maud Racapé
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
| | - Aurélie Philippe
- Department of Nephrology and Internal Intensive Care Medicine, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany; BIH Biomedical Innovation Academy, Berlin Institute of Health at Charité-Universitätsmedizin Berlin (BIH), Berlin, Germany
| | - Michelle Elias
- Department of Kidney Transplantation, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Marc Raynaud
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France
| | - Olivier Aubert
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France; Department of Kidney Transplantation, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Didier Bouton
- DRCI Direction of Clinical Research and Innovation, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - François Girardin
- Division of Clinical Pharmacology, Department of Medicine and Department of Laboratory Medicine and Pathology, Lausanne University Hospital, Faculty of Medicine, University of Lausanne, Lausanne, Switzerland
| | - Éric Vicaut
- Clinical Trial Unit Hospital, Lariboisière Saint-Louis Assistance Publique-Hôpitaux de Paris (AP-HP), Paris Cité University, Paris, France
| | - Sarhan Yaiche
- ECRIN European Clinical Research Infrastructure Network, Paris, France
| | - Jacques Demotes
- ECRIN European Clinical Research Infrastructure Network, Paris, France
| | | | - Jean-Luc Taupin
- Immunology and Histocompatibility Laboratory, Medical Biology Department, Saint-Louis Hospital, Paris, France
| | | | - Mohamad Zaidan
- Department of Nephrology and Transplantation, Kremlin-Bicêtre Hospital, Assistance Publique-Hôpitaux de Paris, Le Kremlin-Bicêtre, France
| | - Emmanuelle Papuchon
- Centre Hospitalier Universitaire (CHU) Nantes, Nantes University, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, ITUN, Nantes, France
| | - Hoa Le Mai
- Centre Hospitalier Universitaire (CHU) Nantes, Nantes University, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, ITUN, Nantes, France
| | - Thi-Van-Ha Nguyen
- Centre Hospitalier Universitaire (CHU) Nantes, Nantes University, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, ITUN, Nantes, France
| | - Francesc Moreso
- Nephrology and Kidney Transplant Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Thierry Berney
- Division of Transplantation, Department of Surgery, University of Geneva Hospitals, Geneva, Switzerland
| | - Jean Villard
- Department of Immunology and Allergy and Department of Laboratory Medicine, Geneva University Hospital, Geneva, Switzerland
| | - Christophe Legendre
- Department of Kidney Transplantation, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Duska Dragun
- Department of Nephrology and Internal Intensive Care Medicine, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
| | - Vassilios Papalois
- European Society for Organ Transplantation (ESOT); Imperial College Renal and Transplant Centre, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Luciano Potena
- European Society for Organ Transplantation (ESOT); Cardiology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Magali Giral
- Centre Hospitalier Universitaire (CHU) Nantes, Nantes University, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, ITUN, Nantes, France; Centre d'Investigation Clinique en Biothérapie, Centre de Ressources Biologiques (CRB), Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Pierre-Antoine Gourraud
- Centre Hospitalier Universitaire (CHU) Nantes, Nantes University, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, ITUN, Nantes, France; Nantes Université, Centre Hospitalier Universitaire (CHU) Nantes, Pôle Hospitalo-Universitaire 11: Santé Publique, Clinique des données, INSERM, Centre d'Investigation Clinique (CIC) 1413, Nantes, France
| | - Sophie Brouard
- Centre Hospitalier Universitaire (CHU) Nantes, Nantes University, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, ITUN, Nantes, France; Centre d'Investigation Clinique en Biothérapie, Centre de Ressources Biologiques (CRB), Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Elena Crespo
- Translational Nephrology and Kidney Transplant Research Laboratory, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Fabian Halleck
- Department of Nephrology and Internal Intensive Care Medicine, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
| | - Klemens Budde
- Department of Nephrology and Internal Intensive Care Medicine, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
| | - Oriol Bestard
- Nephrology and Kidney Transplant Department, Vall d'Hebron University Hospital, Barcelona, Spain; Translational Nephrology and Kidney Transplant Research Laboratory, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Alexandre Loupy
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France; Department of Kidney Transplantation, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
| | - Carmen Lefaucheur
- Université Paris Cité, INSERM U970, Paris Institute for Transplantation and Organ Regeneration, Paris, France; Department of Kidney Transplantation, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
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6
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Gupta G, Athreya A, Kataria A. Biomarkers in Kidney Transplantation: A Rapidly Evolving Landscape. Transplantation 2024:00007890-990000000-00820. [PMID: 39020463 DOI: 10.1097/tp.0000000000005122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/19/2024]
Abstract
The last decade has seen an explosion in clinical research focusing on the use of noninvasive biomarkers in kidney transplantation. Much of the published literature focuses on donor-derived cell-free DNA (dd-cfDNA). Although initially studied as a noninvasive means of identifying acute rejection, it is now clear that dd-cfDNA is more appropriately described as a marker of severe injury and irrespective of the etiology, elevated dd-cfDNA ≥0.5% portends worse graft outcomes. Blood gene expression profiling is also commercially available and has mostly been studied in the context of early identification of subclinical rejection, although additional data is needed to validate these findings. Torque teno virus, a ubiquitous DNA virus, has emerged as a biomarker of immunosuppression exposure as peripheral blood Torque teno virus copy numbers might mirror the intensity of host immunosuppression. Urinary chemokine tests including C-X-C motif chemokine ligand 9 and C-X-C motif chemokine ligand 10 have recently been assessed in large clinical trials and hold promising potential for early diagnosis of both subclinical and acute rejection, as well as, for long-term prognosis. Urinary cellular messenger RNA and exosome vesicular RNA based studies require additional validation. Although current data does not lend itself to conclusion, future studies on multimodality testing may reveal the utility of serial surveillance for individualization of immunosuppression and identify windows of opportunity to intervene early and before the irreversible allograft injury sets in.
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Affiliation(s)
- Gaurav Gupta
- Hume-Lee Transplant Center, Virginia Commonwealth University, Richmond, VA
- Division of Nephrology, Virginia Commonwealth University, Richmond, VA
| | - Akshay Athreya
- Division of Nephrology, Virginia Commonwealth University, Richmond, VA
| | - Ashish Kataria
- Division of Nephrology, Medical College of Georgia, Augusta, GA
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7
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Laroche C, Engen RM. Immune monitoring in pediatric kidney transplant. Pediatr Transplant 2024; 28:e14785. [PMID: 38766986 DOI: 10.1111/petr.14785] [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: 03/09/2024] [Revised: 04/25/2024] [Accepted: 04/29/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Long-term outcomes in pediatric kidney transplantation remain suboptimal, largely related to chronic rejection. Creatinine is a late marker of renal injury, and more sensitive, early markers of allograft injury are an active area of current research. METHODS This is an educational review summarizing existing strategies for monitoring for rejection in kidney transplant recipients. RESULTS We summarize supporting currently available clinical tests, including surveillance biopsy, donor specific antibodies, and donor-derived cell free DNA, as well as the potential limitations of these studies. In addition, we review the current avenues of active research, including transcriptomics, proteomics, metabolomics, and torque tenovirus levels. CONCLUSION Advancing the use of noninvasive immune monitoring will depend on well-designed multicenter trials that include patients with stable graft function, include biopsy results on all patients, and can demonstrate both association with a patient-relevant clinical endpoint such as graft survival or change in glomerular filtration rate and a potential timepoint for intervention.
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Affiliation(s)
| | - Rachel M Engen
- University of Wisconsin Madison, Madison, Wisconsin, USA
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8
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Djomnang LAK, Li C, Mzava O, Cheng AP, Chang A, Lenz JS, Suthanthiran M, Lee JR, Dadhania DM, De Vlaminck I. A quantitative comparison of urine centrifugation and filtration for the isolation and analysis of urinary nucleic acid biomarkers. Sci Rep 2024; 14:10872. [PMID: 38740837 DOI: 10.1038/s41598-024-54239-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 02/10/2024] [Indexed: 05/16/2024] Open
Abstract
Urine is a rich source of nucleic acid biomarkers including cell-free DNA (cfDNA) and RNA for monitoring the health of kidney allografts. In this study, we aimed to evaluate whether urine filtration can serve as an alternative to the commonly used method of centrifugation to collect urinary fluid and cell pellets for isolating cfDNA and cellular messenger RNA (mRNA). We collected urine specimens from kidney allograft recipients and obtained the urine supernatant and cell pellet from each specimen using both filtration and centrifugation for paired analyses. We performed DNA sequencing to characterize the origin and properties of cfDNA, as well as quantitative PCR of mRNAs extracted from cell fractions. Our results showed that the biophysical properties of cfDNA, the microbial DNA content, and the tissues of origin of cfDNA were comparable between samples processed using filtration and centrifugation method. Similarly, mRNA quality and quantity obtained using both methods met our criteria for downstream application and the Ct values for each mRNA were comparable between the two techniques.The Ct values demonstrated a high degree of correlation. These findings suggest that urine filtration is a viable alternative to urine centrifugation for isolation of nucleic acid biomarkers from urine specimens.
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Affiliation(s)
| | - Carol Li
- Division of Nephrology and Hypertension, Department of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA
| | - Omary Mzava
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA
| | - Alexandre Pellan Cheng
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA
| | - Adrienne Chang
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA
| | - Joan Sesing Lenz
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA
| | - Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Department of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA
| | - John R Lee
- Division of Nephrology and Hypertension, Department of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA
| | - Darshana M Dadhania
- Division of Nephrology and Hypertension, Department of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA.
| | - Iwijn De Vlaminck
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA.
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9
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Goutaudier V, Sablik M, Racapé M, Rousseau O, Audry B, Kamar N, Raynaud M, Aubert O, Charreau B, Papuchon E, Danger R, Letertre L, Couzi L, Morelon E, Le Quintrec M, Taupin JL, Vicaut E, Legendre C, Le Mai H, Potluri V, Nguyen TVH, Azoury ME, Pinheiro A, Nouadje G, Sonigo P, Anglicheau D, Tieken I, Vogelaar S, Jacquelinet C, Reese P, Gourraud PA, Brouard S, Lefaucheur C, Loupy A. Design, cohort profile and comparison of the KTD-Innov study: a prospective multidimensional biomarker validation study in kidney allograft rejection. Eur J Epidemiol 2024; 39:549-564. [PMID: 38625480 DOI: 10.1007/s10654-024-01112-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 03/04/2024] [Indexed: 04/17/2024]
Abstract
There is an unmet need for robust and clinically validated biomarkers of kidney allograft rejection. Here we present the KTD-Innov study (ClinicalTrials.gov, NCT03582436), an unselected deeply phenotyped cohort of kidney transplant recipients with a holistic approach to validate the clinical utility of precision diagnostic biomarkers. In 2018-2019, we prospectively enrolled consecutive adult patients who received a kidney allograft at seven French centers and followed them for a year. We performed multimodal phenotyping at follow-up visits, by collecting clinical, biological, immunological, and histological parameters, and analyzing a panel of 147 blood, urinary and kidney tissue biomarkers. The primary outcome was allograft rejection, assessed at each visit according to the international Banff 2019 classification. We evaluated the representativeness of participants by comparing them with patients from French, European, and American transplant programs transplanted during the same period. A total of 733 kidney transplant recipients (64.1% male and 35.9% female) were included during the study. The median follow-up after transplantation was 12.3 months (interquartile range, 11.9-13.1 months). The cumulative incidence of rejection was 9.7% at one year post-transplant. We developed a distributed and secured data repository in compliance with the general data protection regulation. We established a multimodal biomarker biobank of 16,736 samples, including 9331 blood, 4425 urinary and 2980 kidney tissue samples, managed and secured in a collaborative network involving 7 clinical centers, 4 analytical platforms and 2 industrial partners. Patients' characteristics, immune profiles and treatments closely resembled those of 41,238 French, European and American kidney transplant recipients. The KTD-Innov study is a unique holistic and multidimensional biomarker validation cohort of kidney transplant recipients representative of the real-world transplant population. Future findings from this cohort are likely to be robust and generalizable.
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Affiliation(s)
- Valentin Goutaudier
- Paris Institute for Transplantation and Organ Regeneration (PITOR), INSERM U970, Université Paris Cité, 56 rue Leblanc, 75015, Paris, France
- Department of Kidney Transplantation, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Marta Sablik
- Paris Institute for Transplantation and Organ Regeneration (PITOR), INSERM U970, Université Paris Cité, 56 rue Leblanc, 75015, Paris, France
| | - Maud Racapé
- Paris Institute for Transplantation and Organ Regeneration (PITOR), INSERM U970, Université Paris Cité, 56 rue Leblanc, 75015, Paris, France
| | - Olivia Rousseau
- INSERM UMR 1064, Center for Research in Transplantation and Translational Immunology, ITUN, Nantes Université, CHU Nantes, Nantes, France
- Pôle Hospitalo-Universitaire 11: Santé Publique, Clinique des Données, INSERM, CIC 1413, Nantes Université, CHU Nantes, 44000, Nantes, France
| | - Benoit Audry
- Agence de la Biomédecine, Saint Denis la Plaine, France
| | - Nassim Kamar
- Department of Nephrology-Dialysis-Transplantation, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Marc Raynaud
- Paris Institute for Transplantation and Organ Regeneration (PITOR), INSERM U970, Université Paris Cité, 56 rue Leblanc, 75015, Paris, France
| | - Olivier Aubert
- Paris Institute for Transplantation and Organ Regeneration (PITOR), INSERM U970, Université Paris Cité, 56 rue Leblanc, 75015, Paris, France
- Department of Kidney Transplantation, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Béatrice Charreau
- INSERM UMR 1064, Center for Research in Transplantation and Translational Immunology, ITUN, Nantes Université, CHU Nantes, Nantes, France
| | - Emmanuelle Papuchon
- INSERM UMR 1064, Center for Research in Transplantation and Translational Immunology, ITUN, Nantes Université, CHU Nantes, Nantes, France
| | - Richard Danger
- INSERM UMR 1064, Center for Research in Transplantation and Translational Immunology, ITUN, Nantes Université, CHU Nantes, Nantes, France
| | - Laurence Letertre
- INSERM UMR 1064, Center for Research in Transplantation and Translational Immunology, ITUN, Nantes Université, CHU Nantes, Nantes, France
| | - Lionel Couzi
- Department of Nephrology, Transplantation, Dialysis and Apheresis, CHU Bordeaux, Bordeaux, France
| | - Emmanuel Morelon
- Department of Transplantation, Edouard Herriot University Hospital, Hospices Civils de Lyon, University Lyon, University of Lyon I, Lyon, France
| | - Moglie Le Quintrec
- Department of Nephrology, Centre Hospitalier Universitaire Montpellier, Montpellier, France
| | - Jean-Luc Taupin
- Immunology and Histocompatibility Laboratory, Medical Biology Department, Saint-Louis Hospital, Paris, France
| | - Eric Vicaut
- Clinical Trial Unit Hospital, Lariboisière Saint-Louis AP-HP, Paris Cité University, Paris, France
| | - Christophe Legendre
- Paris Institute for Transplantation and Organ Regeneration (PITOR), INSERM U970, Université Paris Cité, 56 rue Leblanc, 75015, Paris, France
- Department of Kidney Transplantation, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Hoa Le Mai
- INSERM UMR 1064, Center for Research in Transplantation and Translational Immunology, ITUN, Nantes Université, CHU Nantes, Nantes, France
| | - Vishnu Potluri
- Department of Biostatistics, Epidemiology and Bioinformatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Thi-Van-Ha Nguyen
- INSERM UMR 1064, Center for Research in Transplantation and Translational Immunology, ITUN, Nantes Université, CHU Nantes, Nantes, France
| | | | | | | | | | - Dany Anglicheau
- Department of Kidney Transplantation, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
- Université Paris Cité, Inserm U1151, Necker Enfants-Malades Institute, Paris, France
| | - Ineke Tieken
- Eurotransplant International Foundation, Leiden, the Netherlands
| | - Serge Vogelaar
- Eurotransplant International Foundation, Leiden, the Netherlands
| | | | - Peter Reese
- Department of Biostatistics, Epidemiology and Bioinformatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Pierre-Antoine Gourraud
- INSERM UMR 1064, Center for Research in Transplantation and Translational Immunology, ITUN, Nantes Université, CHU Nantes, Nantes, France
- Pôle Hospitalo-Universitaire 11: Santé Publique, Clinique des Données, INSERM, CIC 1413, Nantes Université, CHU Nantes, 44000, Nantes, France
| | - Sophie Brouard
- INSERM UMR 1064, Center for Research in Transplantation and Translational Immunology, ITUN, Nantes Université, CHU Nantes, Nantes, France
| | - Carmen Lefaucheur
- Paris Institute for Transplantation and Organ Regeneration (PITOR), INSERM U970, Université Paris Cité, 56 rue Leblanc, 75015, Paris, France
- Kidney Transplant Department, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Alexandre Loupy
- Paris Institute for Transplantation and Organ Regeneration (PITOR), INSERM U970, Université Paris Cité, 56 rue Leblanc, 75015, Paris, France.
- Department of Kidney Transplantation, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.
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10
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Van Meerhaeghe T, Murakami N, Le Moine A, Brouard S, Sprangers B, Degauque N. Fine-tuning tumor- and allo-immunity: advances in the use of immune checkpoint inhibitors in kidney transplant recipients. Clin Kidney J 2024; 17:sfae061. [PMID: 38606169 PMCID: PMC11008728 DOI: 10.1093/ckj/sfae061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Indexed: 04/13/2024] Open
Abstract
Cancer is a common complication after kidney transplantation. Kidney transplant recipients (KTR) have a 2- to 4-fold higher risk of developing cancer compared to the general population and post-transplant malignancy is the third most common cause of death in KTR. Moreover, it is well known that certain cancer types are overrepresented after transplantation, especially non-melanoma skin cancer. Immune checkpoint inhibitors (ICI) have revolutionized the treatment of cancer, with remarkable survival benefit in a subgroup of patients. ICI are monoclonal antibodies that block the binding of specific co-inhibitory signaling molecules. Cytotoxic T lymphocyte-associated antigen-4 (CTLA-4), programmed cell death protein 1 (PD-1), and its ligand programmed cell death ligand 1 (PD-L1) are the main targets of ICI. Solid organ transplant recipients (SOTR) have been excluded from clinical trials owing to concerns about tumor response, allo-immunity, and risk of transplant rejection. Indeed, graft rejection has been estimated as high as 48% and represents an emerging problem. The underlying mechanisms of organ rejection in the context of treatment with ICI are poorly understood. The search for restricted antitumoral responses without graft rejection is of paramount importance. This review summarizes the current knowledge of the use of ICI in KTR, the potential mechanisms involved in kidney graft rejection during ICI treatment, potential biomarkers of rejection, and how to deal with rejection in clinical practice.
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Affiliation(s)
- Tess Van Meerhaeghe
- Departement of Nephrology, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium
- Nantes Université, INSERM, Center for Research in Transplantation and Translational Immunology (CR2TI), UMR 1064, Nantes, France
| | - Naoka Murakami
- Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, USA
| | - Alain Le Moine
- Departement of Nephrology, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Sophie Brouard
- Nantes Université, INSERM, Center for Research in Transplantation and Translational Immunology (CR2TI), UMR 1064, Nantes, France
| | - Ben Sprangers
- Biomedical Research Institute, Department of Immunology and Infection, UHasselt, Diepenbeek, Belgium
- Department of Nephrology, Ziekenhuis Oost Limburg, Genk, Belgium
| | - Nicolas Degauque
- Nantes Université, INSERM, Center for Research in Transplantation and Translational Immunology (CR2TI), UMR 1064, Nantes, France
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11
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Xu X, Khunsriraksakul C, Eales JM, Rubin S, Scannali D, Saluja S, Talavera D, Markus H, Wang L, Drzal M, Maan A, Lay AC, Prestes PR, Regan J, Diwadkar AR, Denniff M, Rempega G, Ryszawy J, Król R, Dormer JP, Szulinska M, Walczak M, Antczak A, Matías-García PR, Waldenberger M, Woolf AS, Keavney B, Zukowska-Szczechowska E, Wystrychowski W, Zywiec J, Bogdanski P, Danser AHJ, Samani NJ, Guzik TJ, Morris AP, Liu DJ, Charchar FJ, Tomaszewski M. Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targets. Nat Commun 2024; 15:2359. [PMID: 38504097 PMCID: PMC10950894 DOI: 10.1038/s41467-024-46132-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 02/14/2024] [Indexed: 03/21/2024] Open
Abstract
Genetic mechanisms of blood pressure (BP) regulation remain poorly defined. Using kidney-specific epigenomic annotations and 3D genome information we generated and validated gene expression prediction models for the purpose of transcriptome-wide association studies in 700 human kidneys. We identified 889 kidney genes associated with BP of which 399 were prioritised as contributors to BP regulation. Imputation of kidney proteome and microRNAome uncovered 97 renal proteins and 11 miRNAs associated with BP. Integration with plasma proteomics and metabolomics illuminated circulating levels of myo-inositol, 4-guanidinobutanoate and angiotensinogen as downstream effectors of several kidney BP genes (SLC5A11, AGMAT, AGT, respectively). We showed that genetically determined reduction in renal expression may mimic the effects of rare loss-of-function variants on kidney mRNA/protein and lead to an increase in BP (e.g., ENPEP). We demonstrated a strong correlation (r = 0.81) in expression of protein-coding genes between cells harvested from urine and the kidney highlighting a diagnostic potential of urinary cell transcriptomics. We uncovered adenylyl cyclase activators as a repurposing opportunity for hypertension and illustrated examples of BP-elevating effects of anticancer drugs (e.g. tubulin polymerisation inhibitors). Collectively, our studies provide new biological insights into genetic regulation of BP with potential to drive clinical translation in hypertension.
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Affiliation(s)
- Xiaoguang Xu
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK
| | | | - James M Eales
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK
| | - Sebastien Rubin
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK
| | - David Scannali
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK
| | - Sushant Saluja
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK
| | - David Talavera
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK
| | - Havell Markus
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Lida Wang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Maciej Drzal
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK
| | - Akhlaq Maan
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK
| | - Abigail C Lay
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK
| | - Priscilla R Prestes
- Health Innovation and Transformation Centre, Federation University Australia, Ballarat, Australia
| | - Jeniece Regan
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Avantika R Diwadkar
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Matthew Denniff
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Grzegorz Rempega
- Department of Urology, Medical University of Silesia, Katowice, Poland
| | - Jakub Ryszawy
- Department of Urology, Medical University of Silesia, Katowice, Poland
| | - Robert Król
- Department of General, Vascular and Transplant Surgery, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland
| | - John P Dormer
- Department of Cellular Pathology, University Hospitals of Leicester, Leicester, UK
| | - Monika Szulinska
- Department of Obesity, Metabolic Disorders Treatment and Clinical Dietetics, Karol Marcinkowski University of Medical Sciences, Poznan, Poland
| | - Marta Walczak
- Department of Internal Diseases, Metabolic Disorders and Arterial Hypertension, Poznan University of Medical Sciences, Poznan, Poland
| | - Andrzej Antczak
- Department of Urology and Uro-oncology, Karol Marcinkowski University of Medical Sciences, Poznan, Poland
| | - Pamela R Matías-García
- Institute of Epidemiology, Helmholtz Center Munich, Neuherberg, Germany
- Research Unit Molecular Epidemiology, Helmholtz Center Munich, Neuherberg, Germany
- German Research Center for Cardiovascular Disease (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Melanie Waldenberger
- Institute of Epidemiology, Helmholtz Center Munich, Neuherberg, Germany
- Research Unit Molecular Epidemiology, Helmholtz Center Munich, Neuherberg, Germany
- German Research Center for Cardiovascular Disease (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Adrian S Woolf
- Division of Cell Matrix Biology and Regenerative Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Royal Manchester Children's Hospital and Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Bernard Keavney
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust Manchester, Manchester Royal Infirmary, Manchester, UK
| | | | - Wojciech Wystrychowski
- Department of General, Vascular and Transplant Surgery, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland
| | - Joanna Zywiec
- Department of Internal Medicine, Diabetology and Nephrology, Zabrze, Medical University of Silesia, Katowice, Poland
| | - Pawel Bogdanski
- Department of Obesity, Metabolic Disorders Treatment and Clinical Dietetics, Karol Marcinkowski University of Medical Sciences, Poznan, Poland
| | - A H Jan Danser
- Department of Internal Medicine, Division of Pharmacology and Vascular Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Tomasz J Guzik
- Department of Internal Medicine, Jagiellonian University Medical College, Kraków, Poland
- Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
- Center for Medical Genomics OMICRON, Jagiellonian University Medical College, Kraków, Poland
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal & Dermatological Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK
| | - Dajiang J Liu
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Fadi J Charchar
- Health Innovation and Transformation Centre, Federation University Australia, Ballarat, Australia
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- Department of Physiology, University of Melbourne, Melbourne, Australia
| | - Maciej Tomaszewski
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK.
- Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust Manchester, Manchester Royal Infirmary, Manchester, UK.
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12
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Ding M, Gao T, Song Y, Yi L, Li W, Deng C, Zhou W, Xie M, Zhang L. Nanoparticle-based T cell immunoimaging and immunomodulatory for diagnosing and treating transplant rejection. Heliyon 2024; 10:e24203. [PMID: 38312645 PMCID: PMC10835187 DOI: 10.1016/j.heliyon.2024.e24203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 01/03/2024] [Accepted: 01/04/2024] [Indexed: 02/06/2024] Open
Abstract
T cells serve a pivotal role in the rejection of transplants, both by directly attacking the graft and by recruiting other immune cells, which intensifies the rejection process. Therefore, monitoring T cells becomes crucial for early detection of transplant rejection, while targeted drug delivery specifically to T cells can significantly enhance the effectiveness of rejection therapy. However, regulating the activity of T cells within transplanted organs is challenging, and the prolonged use of immunosuppressive drugs is associated with notable side effects and complications. Functionalized nanoparticles offer a potential solution by targeting T cells within transplants or lymph nodes, thereby reducing the off-target effects and improving the long-term survival of the graft. In this review, we will provide an overview of recent advancements in T cell-targeted imaging molecular probes for diagnosing transplant rejection and the progress of T cell-regulating nanomedicines for treating transplant rejection. Additionally, we will discuss future directions and the challenges in clinical translation.
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Affiliation(s)
- Mengdan Ding
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Tang Gao
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Yishu Song
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Luyang Yi
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Wenqu Li
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Cheng Deng
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Wuqi Zhou
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Mingxing Xie
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Li Zhang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Clinical Research Center for Medical Imaging, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
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13
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Yamamoto K, Oda T, Uchida T, Takechi H, Oshima N, Kumagai H. Evaluating the State of Glomerular Disease by Analyzing Urinary Sediments: mRNA Levels and Immunofluorescence Staining for Various Markers. Int J Mol Sci 2024; 25:744. [PMID: 38255818 PMCID: PMC10815027 DOI: 10.3390/ijms25020744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/22/2023] [Accepted: 12/30/2023] [Indexed: 01/24/2024] Open
Abstract
Renal biopsy is the gold standard for making the final diagnosis and for predicting the progression of renal disease, but monitoring disease status by performing biopsies repeatedly is impossible because it is an invasive procedure. Urine tests are non-invasive and may reflect the general condition of the whole kidney better than renal biopsy results. We therefore investigated the diagnostic value of extensive urinary sediment analysis by immunofluorescence staining for markers expressed on kidney-derived cells (cytokeratin: marker for tubular epithelial cells, synaptopodin: marker for podocytes, claudin1: marker for parietal epithelial cells, CD68: marker for macrophages (MΦ), neutrophil elastase: marker for neutrophils). We further examined the expression levels of the mRNAs for these markers by real-time reverse transcription polymerase chain reaction. We also examined the levels of mRNAs associated with the M1 (iNOS, IL-6) and M2 (CD163, CD204, CD206, IL-10) MΦ phenotypes. Evaluated markers were compared with clinical and histological findings for the assessment of renal diseases. Claudin1- and CD68-positive cell counts in urinary sediments were higher in patients with glomerular crescents (especially cellular crescents) than in patients without crescents. The relative levels of mRNA for CD68 and the M2 MΦ markers (CD163, CD204, CD206, and IL-10) in urinary sediments were also higher in patients with glomerular crescents. These data suggest that immunofluorescence staining for claudin1 and CD68 in urinary sediments and the relative levels of mRNA for CD68 and M2 MΦ markers in urinary sediments are useful for evaluating the state of glomerular diseases.
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Affiliation(s)
- Kojiro Yamamoto
- Department of Nephrology and Endocrinology, National Defense Medical College, Tokorozawa 359-8513, Japan; (K.Y.); (H.T.); (N.O.); (H.K.)
| | - Takashi Oda
- Department of Nephrology, Tokyo Medical University Hachioji Medical Center, Hachioji 193-0998, Japan;
| | - Takahiro Uchida
- Department of Nephrology, Tokyo Medical University Hachioji Medical Center, Hachioji 193-0998, Japan;
| | - Hanako Takechi
- Department of Nephrology and Endocrinology, National Defense Medical College, Tokorozawa 359-8513, Japan; (K.Y.); (H.T.); (N.O.); (H.K.)
| | - Naoki Oshima
- Department of Nephrology and Endocrinology, National Defense Medical College, Tokorozawa 359-8513, Japan; (K.Y.); (H.T.); (N.O.); (H.K.)
| | - Hiroo Kumagai
- Department of Nephrology and Endocrinology, National Defense Medical College, Tokorozawa 359-8513, Japan; (K.Y.); (H.T.); (N.O.); (H.K.)
- Department of Nephrology, Sayama General Clinic, Sayama 350-1305, Japan
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14
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Salinas T, Li C, Snopkowski C, Sharma VK, Dadhania DM, Suhre K, Muthukumar T, Suthanthiran M. Urinary Cell Gene Signature of Acute Rejection in Kidney Allografts. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.18.23300165. [PMID: 38196644 PMCID: PMC10775338 DOI: 10.1101/2023.12.18.23300165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Introduction A kidney allograft biopsy may display acute T cell-mediated rejection (TCMR), antibody-mediated rejection (ABMR), or concurrent TCMR + ABMR (MR). Development of noninvasive biomarkers diagnostic of all three types of acute rejection is a useful addition to the diagnostic armamentarium. Methods We developed customized RT-qPCR assays and measured urinary cell mRNA copy number in 145 biopsy-matched urine samples from 126 kidney allograft recipients and calculated urinary cell three-gene signature score from log 10 -transformed values for the 18S-normalized CD3E mRNA, 18S-normalized CXCL10 mRNA and 18S rRNA. We determined whether the signature score in biopsy-matched urine specimens discriminates biopsies without rejection (NR, n=50) from biopsies displaying TCMR (n=47), ABMR (n=28) or MR (n=20). Results Urinary cell three-gene signature discriminated TCMR, ABMR or MR biopsies from NR biopsies (P <0.0001, One-way ANOVA). Dunnett's multiple comparisons test yielded P<0.0001 for NR vs. TCMR; P <0.001 for NR vs. ABMR; and P <0.0001 for NR vs. MR. By bootstrap resampling, optimism-corrected area under the receiver operating characteristic curve (AUC) was 0.749 (bias-corrected 95% confidence interval [CI], 0.638 to 0.840) for NR vs. TCMR (P<0.0001); 0.780 (95% CI, 0.656 to 0.878) for NR vs. ABMR (P<0.0001); and 0.857 (95% CI, 0.727 to 0.947) for NR vs. MR (P<0.0001). All three rejection biopsy categories were distinguished from NR biopsies with similar accuracy (all AUC comparisons P>0.05). Conclusion Urinary cell three-gene signature score may serve as a universal diagnostic signature of acute rejection due to TCMR, ABMR or MR in human kidney allografts with similar performance characteristics.
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Han HS, Lubetzky ML. Immune monitoring of allograft status in kidney transplant recipients. FRONTIERS IN NEPHROLOGY 2023; 3:1293907. [PMID: 38022723 PMCID: PMC10663942 DOI: 10.3389/fneph.2023.1293907] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023]
Abstract
Kidney transplant patients require careful management of immunosuppression to avoid rejection while minimizing the risk of infection and malignancy for the best long-term outcome. The gold standard for monitoring allograft status and immunosuppression adequacy is a kidney biopsy, but this is invasive and costly. Conventional methods of allograft monitoring, such as serum creatinine level, are non-specific. Although they alert physicians to the need to evaluate graft dysfunction, by the time there is a clinical abnormality, allograft damage may have already occurred. The development of novel and non-invasive methods of evaluating allograft status are important to improving graft outcomes. This review summarizes the available conventional and novel methods for monitoring allograft status after kidney transplant. Novel and less invasive methods include gene expression, cell-free DNA, urinary biomarkers, and the use of artificial intelligence. The optimal method to manage patients after kidney transplant is still being investigated. The development of less invasive methods to assess allograft function has the potential to improve patient outcomes and allow for a more personalized approach to immunosuppression management.
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Affiliation(s)
- Hwarang S. Han
- Division of Nephrology, Department of Internal Medicine, Dell Medical School, University of Texas at Austin, Austin, TX, United States
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Ye Q, Xu G, Xue C, Pang S, Xie B, Huang G, Li H, Chen X, Yang R, Li W. Urinary SPP1 has potential as a non-invasive diagnostic marker for focal segmental glomerulosclerosis. FEBS Open Bio 2023; 13:2061-2080. [PMID: 37696527 PMCID: PMC10626280 DOI: 10.1002/2211-5463.13704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/26/2023] [Accepted: 09/08/2023] [Indexed: 09/13/2023] Open
Abstract
Focal segmental glomerulosclerosis (FSGS) is a type of chronic glomerular nephropathy showing characteristic glomerular sclerosis, diagnosed by kidney biopsy. However, it is difficult and expensive to monitor disease progression with repeated renal biopsy in clinical practice, and thus here we explored the feasibility of urine biomarkers as non-invasive diagnostic tools. We downloaded scRNA-seq datasets of 20 urine cell samples and 3 kidney tissues and obtained two gene lists encoding extracellular proteins for bioinformatic analysis; in addition, we identified key EP-Genes by immunohistochemical staining and performed bulk RNA sequencing with 12 urine samples. We report that urine cells and kidney cells were correlated. A total of 64 EP-Genes were acquired by intersecting genes of distal tubular cluster with extracellular proteins. Function enrichment analysis showed that EP-Genes might be involved in the immune response and extracellular components. Six key EP-Genes were identified and correlated with renal function. IMC showed that key EP-Genes were located mainly in tubules. Cross verification and examination of a urine RNAseq dataset showed that SPP1 had diagnostic potential for FSGS. The presence of urine SPP1 was primarily associated with macrophage infiltration in kidney, and the pathogenesis of FSGS may be related to innate immunity. Urinary cells seemed to be strongly similar to kidney cells. In summary, SPP1 levels reflect renal function and may have potential as a biomarker for non-invasive diagnosis of FSGS.
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Affiliation(s)
- Qinglin Ye
- Department of NephrologyThe Second Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Guiling Xu
- Department of NephrologyThe Second Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Chao Xue
- Department of NephrologyThe Second Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Shuting Pang
- Department of NephrologyThe Second Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Boji Xie
- Department of NephrologyThe Second Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Guanwen Huang
- Department of NephrologyThe Second Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Haoyu Li
- Department of NephrologyThe Second Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Xuesong Chen
- Department of NephrologyThe Second Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Rirong Yang
- Centre for Genomic and Personalized MedicineDepartment of ImmunologySchool of Basic Medical SciencesGuangxi Medical UniversityNanning530021China
| | - Wei Li
- Department of NephrologyThe Second Affiliated Hospital of Guangxi Medical UniversityNanningChina
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17
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Leventhal JR, Galvin J, Ison MG, Feng CY, Ding R, Lee JR, Li C, Mathew JM, Gallon L, Gibson M, Belshe D, Tollerud DJ, Gornstein E, Suthanthiran M, Ildstad ST. Evaluation of Immunocompetence and Biomarkers of Tolerance in Chimeric and Immunosuppression-free Kidney Allograft Recipients. Transplantation 2023; 107:e257-e268. [PMID: 37370204 DOI: 10.1097/tp.0000000000004666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
BACKGROUND Thirty-seven patients have received a living-donor kidney transplant in a phase 2 study designed to induce tolerance with facilitated allogeneic hematopoietic stem cell transplant. The study protocol is based on tolerogenic CD8 + /T-cell receptor - facilitating cells (FCR001; also including hematopoietic stem cells and αβ-T-cell receptor + T cells) and low-dose, nonmyeloablative conditioning. Persistent chimerism allowing full immunosuppression (IS) withdrawal was achieved in 26 patients (time off IS 36-123 mo). METHODS We evaluated biomarkers of tolerance through urinary cell mRNA profiling and immunocompetence to respond to vaccination in these patients. We also assessed kidney function and metabolic parameters compared with standard-of-care patients on IS. RESULTS Persistently chimeric patients retained chimerism after removal of IS and remained rejection free without donor HLA-specific antibody development. The presence of donor chimerism at >50% correlated with a signature of tolerance in urinary cell mRNA profiles, with a uniquely elevated increase in the ratio of cytotoxic T lymphocyte-associated protein 4 to granzyme B mRNA. Tolerance was associated with protection from recurrence of immune-mediated causes of kidney disease. Tolerant participants were safely vaccinated, developed protective immune responses, and did not lose chimerism after vaccination. When compared with kidney transplant recipients treated with standard IS, tolerant participants showed stable kidney function and reduced medication use for hypertension and hyperlipidemia. CONCLUSIONS These results suggest that elimination of IS has distinct advantages in living-donor kidney allograft recipients.
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Affiliation(s)
| | - John Galvin
- Comprehensive Transplant Center, Northwestern University, Chicago, IL
| | - Michael G Ison
- Respiratory Diseases Branch, Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases, Rockville, MD
| | | | - Ruchuang Ding
- Division of Nephrology and Hypertension, Departments of Medicine and Transplantation, Weill Cornell Medicine, New York, NY
| | - John R Lee
- Division of Nephrology and Hypertension, Departments of Medicine and Transplantation, Weill Cornell Medicine, New York, NY
| | - Carol Li
- Division of Nephrology and Hypertension, Departments of Medicine and Transplantation, Weill Cornell Medicine, New York, NY
| | - James M Mathew
- Comprehensive Transplant Center, Northwestern University, Chicago, IL
| | - Lorenzo Gallon
- Comprehensive Transplant Center, Northwestern University, Chicago, IL
| | - Meg Gibson
- Comprehensive Transplant Center, Northwestern University, Chicago, IL
| | - Dianne Belshe
- Comprehensive Transplant Center, Northwestern University, Chicago, IL
- Talaris Therapeutics, Inc., Louisville, KY
| | - David J Tollerud
- Talaris Therapeutics, Inc., Louisville, KY
- Institute for Cellular Therapeutics, University of Louisville, Louisville, KY
| | | | - Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Departments of Medicine and Transplantation, Weill Cornell Medicine, New York, NY
| | - Suzanne T Ildstad
- Talaris Therapeutics, Inc., Louisville, KY
- Institute for Cellular Therapeutics, University of Louisville, Louisville, KY
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18
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Madhvapathy SR, Wang JJ, Wang H, Patel M, Chang A, Zheng X, Huang Y, Zhang ZJ, Gallon L, Rogers JA. Implantable bioelectronic systems for early detection of kidney transplant rejection. Science 2023; 381:1105-1112. [PMID: 37676965 DOI: 10.1126/science.adh7726] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 07/19/2023] [Indexed: 09/09/2023]
Abstract
Early-stage organ transplant rejection can be difficult to detect. Percutaneous biopsies occur infrequently and are risky, and measuring biomarker levels in blood can lead to false-negative and -positive outcomes. We developed an implantable bioelectronic system capable of continuous, real-time, long-term monitoring of the local temperature and thermal conductivity of a kidney for detecting inflammatory processes associated with graft rejection, as demonstrated in rat models. The system detects ultradian rhythms, disruption of the circadian cycle, and/or a rise in kidney temperature. These provide warning signs of acute kidney transplant rejection that precede changes in blood serum creatinine/urea nitrogen by 2 to 3 weeks and approximately 3 days for cases of discontinued and absent administration of immunosuppressive therapy, respectively.
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Affiliation(s)
- Surabhi R Madhvapathy
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA 60208
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA 60208
| | - Jiao-Jing Wang
- Comprehensive Transplant Center, Northwestern University, Chicago, IL, USA 60611
| | - Heling Wang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA 60208
- Department of Civil Engineering, Northwestern University, Evanston, IL, USA 60208
- Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, 100085 China
| | - Manish Patel
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA 60208
- Department of Intervention Radiology, University of Illinois at Chicago, Chicago, IL, USA 60612
| | - Anthony Chang
- Department of Pathology, University of Chicago, Chicago, IL USA 60637
| | - Xin Zheng
- Comprehensive Transplant Center, Northwestern University, Chicago, IL, USA 60611
| | - Yonggang Huang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA 60208
- Department of Civil Engineering, Northwestern University, Evanston, IL, USA 60208
| | - Zheng J Zhang
- Comprehensive Transplant Center, Northwestern University, Chicago, IL, USA 60611
- Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA 60611
- Simpson Querrey Institute for BioNanotechnology, Northwestern University, Chicago, IL, USA 60611
| | - Lorenzo Gallon
- Comprehensive Transplant Center, Northwestern University, Chicago, IL, USA 60611
- Department of Nephrology, Northwestern University, Chicago, IL, USA 60611
| | - John A Rogers
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA 60208
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA 60208
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA 60208
- Department of Neurological Surgery, Northwestern University, Chicago, IL, USA 60611
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19
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Peruzzi L, Deaglio S. Rejection markers in kidney transplantation: do new technologies help children? Pediatr Nephrol 2023; 38:2939-2955. [PMID: 36648536 PMCID: PMC10432336 DOI: 10.1007/s00467-022-05872-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 12/18/2022] [Accepted: 12/19/2022] [Indexed: 01/18/2023]
Abstract
Recent insights in allorecognition and graft rejection mechanisms revealed a more complex picture than originally considered, involving multiple pathways of both adaptive and innate immune response, supplied by efficient inflammatory synergies. Current pillars of transplant monitoring are serum creatinine, proteinuria, and drug blood levels, which are considered as traditional markers, due to consolidated experience, low cost, and widespread availability. The most diffuse immunological biomarkers are donor-specific antibodies, which are included in routine post-transplant monitoring in many centers, although with some reproducibility issues and interpretation difficulties. Confirmed abnormalities in these traditional biomarkers raise the suspicion for rejection and guide the indication for graft biopsy, which is still considered the gold standard for rejection monitoring. Rapidly evolving new "omic" technologies have led to the identification of several novel biomarkers, which may change the landscape of transplant monitoring should their potential be confirmed. Among them, urinary chemokines and measurement of cell-free DNA of donor origin are perhaps the most promising. However, at the moment, these approaches remain highly expensive and cost-prohibitive in most settings, with limited clinical applicability; approachable costs upon technology investments would speed their integration. In addition, transcriptomics, metabolomics, proteomics, and the study of blood and urinary extracellular vesicles have the potential for early identification of subclinical rejection with high sensitivity and specificity, good reproducibility, and for gaining predictive value in an affordable cost setting. In the near future, information derived from these new biomarkers is expected to integrate traditional tools in routine use, allowing identification of rejection prior to clinical manifestations and timely therapeutic intervention. This review will discuss traditional, novel, and invasive and non-invasive biomarkers, underlining their strengths, limitations, and present or future applications in children.
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Affiliation(s)
- Licia Peruzzi
- Pediatric Nephrology Unit, Regina Margherita Department, City of Health and Science University Hospital, Piazza Polonia 94, 10126, Turin, Italy.
| | - Silvia Deaglio
- Immunogenetics and Transplant Biology Service, City of Health and Science University Hospital, Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
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20
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Sharaby I, Alksas A, Abou El-Ghar M, Eldeeb M, Ghazal M, Gondim D, El-Baz A. Biomarkers for Kidney-Transplant Rejection: A Short Review Study. Biomedicines 2023; 11:2437. [PMID: 37760879 PMCID: PMC10525551 DOI: 10.3390/biomedicines11092437] [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: 06/13/2023] [Revised: 07/30/2023] [Accepted: 08/29/2023] [Indexed: 09/29/2023] Open
Abstract
Kidney transplantation is the preferred treatment for end-stage renal failure, but the limited availability of donors and the risk of immune rejection pose significant challenges. Early detection of acute renal rejection is a critical step to increasing the lifespan of the transplanted kidney. Investigating the clinical, genetic, and histopathological markers correlated to acute renal rejection, as well as finding noninvasive markers for early detection, is urgently needed. It is also crucial to identify which markers are associated with different types of acute renal rejection to manage treatment effectively. This short review summarizes recent studies that investigated various markers, including genomics, histopathology, and clinical markers, to differentiate between different types of acute kidney rejection. Our review identifies the markers that can aid in the early detection of acute renal rejection, potentially leading to better treatment and prognosis for renal-transplant patients.
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Affiliation(s)
- Israa Sharaby
- Bioengineering Department, University of Louisville, Louisville, KY 40292, USA (A.A.)
| | - Ahmed Alksas
- Bioengineering Department, University of Louisville, Louisville, KY 40292, USA (A.A.)
| | - Mohamed Abou El-Ghar
- Radiology Department, Urology and Nephrology Center, Mansoura University, Mansoura 35516, Egypt; (M.A.E.-G.); (M.E.)
| | - Mona Eldeeb
- Radiology Department, Urology and Nephrology Center, Mansoura University, Mansoura 35516, Egypt; (M.A.E.-G.); (M.E.)
| | - Mohammed Ghazal
- Electrical, Computer, and Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates;
| | - Dibson Gondim
- Department of Pathology and Laboratory Medicine, University of Louisville, Louisville, KY 40202, USA;
| | - Ayman El-Baz
- Bioengineering Department, University of Louisville, Louisville, KY 40292, USA (A.A.)
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21
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Fank H, Weekers L, Lovinfosse P, Pottel H, Seidel L, Jadoul A, Bouquegneau A, Bonvoisin C, Bovy C, Grosch S, Erpicum P, Hustinx R, Jouret F. The uptake of [ 18F]-fluorodeoxyglucose by the renal allograft correlates with the acute Banff scores of cortex inflammation but not with the 1-year graft outcomes. FRONTIERS IN TRANSPLANTATION 2023; 2:1236751. [PMID: 38993925 PMCID: PMC11235230 DOI: 10.3389/frtra.2023.1236751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 07/21/2023] [Indexed: 07/13/2024]
Abstract
Introduction [18F]FDG PET/CT noninvasively disproves acute kidney allograft rejection (AR) in kidney transplant recipients (KTRs) with suspected AR. However, the correlation of biopsy-based Banff vs. PET/CT-based scores of acute inflammation remains unknown, as does the prognostic performance of [18F]FDG PET/CT at one year post suspected AR. Methods From 2012 to 2019, 114 [18F]FDG-PET/CTs were prospectively performed in 105 adult KTRs who underwent per cause transplant biopsies. Ordinal logistic regression assessed the correlation between the extent of histological inflammation and the mean standardized [18F]FDG uptake values (mSUVmean). Functional outcomes of kidney allografts were evaluated at one year post per cause biopsy and correlated to mSUVmean. Results A significant correlation between mSUVmean and acute Banff score was found, with an adjusted R 2 of 0.25. The mSUVmean was significantly different between subgroups of "total i", with 2.30 ± 0.71 in score 3 vs. 1.68 ± 0.24 in score 0. Neither the function nor the survival of the graft at one year was statistically related to mSUVmean. Discussion [18F]FDG-PET/CT may help noninvasively assess the severity of kidney allograft inflammation in KTRs with suspected AR, but it does not predict graft outcomes at one year.
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Affiliation(s)
- Hélène Fank
- Division of Nephrology, Department of Internal Medicine, University of Liège Hospital (ULiège CHU), Liège, Belgium
| | - Laurent Weekers
- Division of Nephrology, Department of Internal Medicine, University of Liège Hospital (ULiège CHU), Liège, Belgium
| | - Pierre Lovinfosse
- Division of Nuclear Medicine and Oncological Imaging, University of Liège Hospital (ULiège CHU), Liège, Belgium
| | - Hans Pottel
- Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk (KULAK), Kortrijk, Belgium
| | - Laurence Seidel
- Department of Medico-Economic Information and Biostatistic, University of Liège Hospital (ULiège CHU), Liège, Belgium
| | - Alexandre Jadoul
- Division of Nuclear Medicine and Oncological Imaging, University of Liège Hospital (ULiège CHU), Liège, Belgium
| | - Antoine Bouquegneau
- Division of Nephrology, Department of Internal Medicine, University of Liège Hospital (ULiège CHU), Liège, Belgium
| | - Catherine Bonvoisin
- Division of Nephrology, Department of Internal Medicine, University of Liège Hospital (ULiège CHU), Liège, Belgium
| | - Christophe Bovy
- Division of Nephrology, Department of Internal Medicine, University of Liège Hospital (ULiège CHU), Liège, Belgium
- Division of Renal Pathology, Unilab, University of Liège Hospital (ULiège CHU), Liège, Belgium
| | - Stephanie Grosch
- Division of Nephrology, Department of Internal Medicine, University of Liège Hospital (ULiège CHU), Liège, Belgium
- Division of Renal Pathology, Unilab, University of Liège Hospital (ULiège CHU), Liège, Belgium
| | - Pauline Erpicum
- Division of Nephrology, Department of Internal Medicine, University of Liège Hospital (ULiège CHU), Liège, Belgium
- Division of Renal Pathology, Unilab, University of Liège Hospital (ULiège CHU), Liège, Belgium
| | - Roland Hustinx
- Division of Nuclear Medicine and Oncological Imaging, University of Liège Hospital (ULiège CHU), Liège, Belgium
| | - François Jouret
- Division of Nephrology, Department of Internal Medicine, University of Liège Hospital (ULiège CHU), Liège, Belgium
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Hirt-Minkowski P, Handschin J, Stampf S, Hopfer H, Menter T, Senn L, Hönger G, Wehmeier C, Amico P, Steiger J, Koller M, Dickenmann M, Schaub S. Randomized Trial to Assess the Clinical Utility of Renal Allograft Monitoring by Urine CXCL10 Chemokine. J Am Soc Nephrol 2023; 34:1456-1469. [PMID: 37228005 PMCID: PMC10400101 DOI: 10.1681/asn.0000000000000160] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 04/12/2023] [Indexed: 05/27/2023] Open
Abstract
SIGNIFICANCE STATEMENT This study is the first randomized controlled trial to investigate the clinical utility of a noninvasive monitoring biomarker in renal transplantation. Although urine CXCL10 monitoring could not demonstrate a beneficial effect on 1-year outcomes, the study is a rich source for future design of trials aiming to explore the clinical utility of noninvasive biomarkers. In addition, the study supports the use of urine CXCL10 to assess the inflammatory status of the renal allograft. BACKGROUND Urine CXCL10 is a promising noninvasive biomarker for detection of renal allograft rejection. The aim of this study was to investigate the clinical utility of renal allograft monitoring by urine CXCL10 in a randomized trial. METHODS We stratified 241 patients, 120 into an intervention and 121 into a control arm. In both arms, urine CXCL10 levels were monitored at three specific time points (1, 3, and 6 months post-transplant). In the intervention arm, elevated values triggered performance of an allograft biopsy with therapeutic adaptations according to the result. In the control arm, urine CXCL10 was measured, but the results concealed. The primary outcome was a combined end point at 1-year post-transplant (death-censored graft loss, clinical rejection between month 1 and 1-year, acute rejection in 1-year surveillance biopsy, chronic active T-cell-mediated rejection in 1-year surveillance biopsy, development of de novo donor-specific HLA antibodies, or eGFR <25 ml/min). RESULTS The incidence of the primary outcome was not different between the intervention and the control arm (51% versus 49%; relative risk (RR), 1.04 [95% confidence interval, 0.81 to 1.34]; P = 0.80). When including 175 of 241 (73%) patients in a per-protocol analysis, the incidence of the primary outcome was also not different (55% versus 49%; RR, 1.11 [95% confidence interval, 0.84 to 1.47]; P = 0.54). The incidence of the individual end points was not different as well. CONCLUSIONS This study could not demonstrate a beneficial effect of urine CXCL10 monitoring on 1-year outcomes (ClinicalTrials.gov_ NCT03140514 ).
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Affiliation(s)
- Patricia Hirt-Minkowski
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - Joelle Handschin
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
- Molecular Immune Regulation, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Susanne Stampf
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - Helmut Hopfer
- Department of Pathology, University Hospital Basel, Basel, Switzerland
| | - Thomas Menter
- Department of Pathology, University Hospital Basel, Basel, Switzerland
| | - Lisa Senn
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - Gideon Hönger
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
- Molecular Immune Regulation, Department of Biomedicine, University of Basel, Basel, Switzerland
- HLA-Diagnostics and Immunogenetics, Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Caroline Wehmeier
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - Patrizia Amico
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - Jürg Steiger
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
- Molecular Immune Regulation, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Michael Koller
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - Michael Dickenmann
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - Stefan Schaub
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
- Molecular Immune Regulation, Department of Biomedicine, University of Basel, Basel, Switzerland
- HLA-Diagnostics and Immunogenetics, Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
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23
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Singh AD, Nagalla B, Patnam S, Satyanaryana G, Andrews R, Panigrahi AK, Mudigonda SS, Maitra S, Rengan AK, Sasidhar MV. Exploring urinary extracellular vesicles for organ transplant monitoring: A comprehensive study for detection of allograft dysfunction using immune-specific markers. Clin Chim Acta 2023; 548:117525. [PMID: 37633321 DOI: 10.1016/j.cca.2023.117525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND Allograft dysfunction (AGD) is a common complication following solid organ transplantation (SOT). This study leverages the potential of urinary extracellular vesicles (UEVs) for the non-invasive detection of AGD. AIM We aimed to assess the diagnostic value of T-cell and B-cell markers characteristic of T-cell-mediated and antibody-mediated rejection in UEV-mRNA using renal transplantation as a model. MATERIALS AND METHODS UEVs were isolated from 123 participants, spanning healthy controls, functional transplant recipients, and biopsy-proven AGD patients. T-cell and B-cell marker mRNA expressions were evaluated using RT-qPCR. RESULTS We observed significant differences in marker expression between healthy controls and AGD patients. ROC analysis revealed an AUC of 0.80 for T-cell markers, 0.98 for B-cell markers, and 0.94 for combined markers. T-cell markers achieved 81.3 % sensitivity, 80 % specificity, and 80.4 % efficiency. A triad of T-cell markers (PRF1, OX40, and CD3e) increased sensitivity to 87.5 % and efficiency to 82.1 %. B-cell markers (CD20, CXCL3, CD46, and CF3) delivered 100 % sensitivity and 97.5 % specificity. The combined gene signature of T-cell and B-cell markers offered 93.8 % sensitivity and 95 % specificity. CONCLUSION Our findings underscore the diagnostic potential of UEV-derived mRNA markers for T-cells and B-cells in AGD, suggesting a promising non-invasive strategy for monitoring graft health.
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Affiliation(s)
- Anula Divyash Singh
- Apollo Hospitals Educational and Research Foundation (AHERF), Hyderabad, India; Department of Biomedical Engineering, Indian Institute of Technology Hyderabad (IITH), Kandi, Hyderabad, India
| | - Balakrishna Nagalla
- Apollo Institute of Medical Sciences and Research, Hyderabad, Telangana, Hyderabad, India
| | - Sreekanth Patnam
- Apollo Hospitals Educational and Research Foundation (AHERF), Hyderabad, India; Department of Biomedical Engineering, Indian Institute of Technology Hyderabad (IITH), Kandi, Hyderabad, India
| | - G Satyanaryana
- Department of Nephrology, Apollo Hospitals, Hyderabad, India
| | - Ravi Andrews
- Department of Nephrology, Apollo Hospitals, Hyderabad, India
| | | | | | - Sanjay Maitra
- Department of Nephrology, Apollo Hospitals, Hyderabad, India
| | - Aravind Kumar Rengan
- Department of Biomedical Engineering, Indian Institute of Technology Hyderabad (IITH), Kandi, Hyderabad, India
| | - Manda Venkata Sasidhar
- Apollo Hospitals Educational and Research Foundation (AHERF), Hyderabad, India; Urvogelbio Private Ltd, Hyderabad, India.
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24
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Novacescu D, Latcu SC, Bardan R, Daminescu L, Cumpanas AA. Contemporary Biomarkers for Renal Transplantation: A Narrative Overview. J Pers Med 2023; 13:1216. [PMID: 37623466 PMCID: PMC10456039 DOI: 10.3390/jpm13081216] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/18/2023] [Accepted: 07/28/2023] [Indexed: 08/26/2023] Open
Abstract
Renal transplantation (RT) is the preferred treatment for end-stage renal disease. However, clinical challenges persist, i.e., early detection of graft dysfunction, timely identification of rejection episodes, personalization of immunosuppressive therapy, and prediction of long-term graft survival. Biomarkers have emerged as valuable tools to address these challenges and revolutionize RT patient care. Our review synthesizes the existing scientific literature to highlight promising biomarkers, their biological characteristics, and their potential roles in enhancing clinical decision-making and patient outcomes. Emerging non-invasive biomarkers seemingly provide valuable insights into the immunopathology of nephron injury and allograft rejection. Moreover, we analyzed biomarkers with intra-nephron specificities, i.e., glomerular vs. tubular (proximal vs. distal), which can localize an injury in different nephron areas. Additionally, this paper provides a comprehensive analysis of the potential clinical applications of biomarkers in the prediction, detection, differential diagnosis and assessment of post-RT non-surgical allograft complications. Lastly, we focus on the pursuit of immune tolerance biomarkers, which aims to reclassify transplant recipients based on immune risk thresholds, guide personalized immunosuppression strategies, and ultimately identify patients for whom immunosuppression may safely be reduced. Further research, validation, standardization, and prospective studies are necessary to fully harness the clinical utility of RT biomarkers and guide the development of targeted therapies.
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Affiliation(s)
- Dorin Novacescu
- Doctoral School, Victor Babes University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square, No. 2, 300041 Timisoara, Romania;
| | - Silviu Constantin Latcu
- Doctoral School, Victor Babes University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square, No. 2, 300041 Timisoara, Romania;
- Department of Urology, “Pius Brinzeu” Timisoara County Emergency Hospital, Liviu Rebreanu Boulevard, Nr. 156, 300723 Timisoara, Romania; (R.B.); (L.D.); (A.A.C.)
- Department XV, Discipline of Urology, Victor Babes University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square, No. 2, 300041 Timisoara, Romania
| | - Razvan Bardan
- Department of Urology, “Pius Brinzeu” Timisoara County Emergency Hospital, Liviu Rebreanu Boulevard, Nr. 156, 300723 Timisoara, Romania; (R.B.); (L.D.); (A.A.C.)
- Department XV, Discipline of Urology, Victor Babes University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square, No. 2, 300041 Timisoara, Romania
| | - Liviu Daminescu
- Department of Urology, “Pius Brinzeu” Timisoara County Emergency Hospital, Liviu Rebreanu Boulevard, Nr. 156, 300723 Timisoara, Romania; (R.B.); (L.D.); (A.A.C.)
| | - Alin Adrian Cumpanas
- Department of Urology, “Pius Brinzeu” Timisoara County Emergency Hospital, Liviu Rebreanu Boulevard, Nr. 156, 300723 Timisoara, Romania; (R.B.); (L.D.); (A.A.C.)
- Department XV, Discipline of Urology, Victor Babes University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square, No. 2, 300041 Timisoara, Romania
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25
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Ho J, Schaub S, Jackson AM, Balshaw R, Carroll R, Cun S, De Serres SA, Fantus D, Handschin J, Hönger G, Jevnikar AM, Kleiser M, Lee JH, Li Y, Nickerson P, Pei R, Pochinco D, Shih R, Trinh M, Wang J, Nguyen J, Knechtle S. Multicenter Validation of a Urine CXCL10 Assay for Noninvasive Monitoring of Renal Transplants. Transplantation 2023; 107:1630-1641. [PMID: 36949034 DOI: 10.1097/tp.0000000000004554] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
BACKGROUND Urine CXCL10 (C-X-C motif chemokine ligand 10, interferon gamma-induced protein 10 [IP10]) outperforms standard-of-care monitoring for detecting subclinical and early clinical T-cell-mediated rejection (TCMR) and may advance TCMR therapy development through biomarker-enriched trials. The goal was to perform an international multicenter validation of a CXCL10 bead-based immunoassay (Luminex) for transplant surveillance and compare with an electrochemiluminescence-based (Meso Scale Discovery [MSD]) assay used in transplant trials. METHODS Four laboratories participated in the Luminex assay development and evaluation. Urine CXCL10 was measured by Luminex and MSD in 2 independent adult kidney transplant trial cohorts (Basel and TMCT04). In an independent test and validation set, a linear mixed-effects model to predict (log 10 -transformed) MSD CXCL10 from Luminex CXCL10 was developed to determine the conversion between assays. Net reclassification was determined after mathematical conversion. RESULTS The Luminex assay was precise, with an intra- and interassay coefficient of variation 8.1% and 9.3%; showed modest agreement between 4 laboratories (R 0.96 to 0.99, P < 0.001); and correlated with known CXCL10 in a single- (n = 100 urines, R 0.94 to 0.98, P < 0.001) and multicenter cohort (n = 468 urines, R 0.92, P < 0.001) but the 2 assays were not equivalent by Passing-Bablok regression. Linear mixed-effects modeling demonstrated an intercept of -0.490 and coefficient of 1.028, showing Luminex CXCL10 are slightly higher than MSD CXCL10, but the agreement is close to 1.0. After conversion of the biopsy thresholds, the decision to biopsy would be changed for only 6% (5/85) patients showing acceptable reclassification. CONCLUSIONS These data demonstrate this urine CXCL10 Luminex immunoassay is robust, reproducible, and accurate, indicating it can be readily translated into clinical HLA laboratories for serial posttransplant surveillance.
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Affiliation(s)
- Julie Ho
- Department of Internal Medicine and Immunology, University of Manitoba, Winnipeg, Canada
- Transplant Manitoba, Shared Health Manitoba, Winnipeg, Canada
| | - Stefan Schaub
- Transplantation Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
- HLA-Diagnostic and Immunogenetics, Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | | | - Robert Balshaw
- George and Fay Yee Center for Healthcare Innovation, Manitoba, Canada
| | - Robert Carroll
- Royal Adelaide Hospital, University of Adelaide, SA, Australia
| | - Sylvia Cun
- Thermo Fisher Scientific, Los Angeles, CA
| | | | - Daniel Fantus
- Division of Nephrology, Department of Medicine, Centre Hospitalier de l'Université de Montréal (CHUM) and Centre de Recherche du CHUM (CRCHUM), Montréal, Québec, Canada
| | - Joelle Handschin
- Transplantation Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Gideon Hönger
- Transplantation Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
- HLA-Diagnostic and Immunogenetics, Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Anthony M Jevnikar
- Department of Medicine, Western University and Multiorgan Transplant Program, London, ON, Canada
| | - Marc Kleiser
- HLA-Diagnostic and Immunogenetics, Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | | | - Yan Li
- Department of Surgery and Immunology, Duke University, Durham, NC
| | - Peter Nickerson
- Department of Internal Medicine and Immunology, University of Manitoba, Winnipeg, Canada
- Transplant Manitoba, Shared Health Manitoba, Winnipeg, Canada
- Canadian Blood Services HLA Laboratory, Diagnostic Services of Manitoba, Canada
| | - Rui Pei
- Thermo Fisher Scientific, Los Angeles, CA
| | - Denise Pochinco
- Canadian Blood Services HLA Laboratory, Diagnostic Services of Manitoba, Canada
| | - Remi Shih
- Terasaki Innovation Center, Los Angeles, CA
| | | | - Jason Wang
- Thermo Fisher Scientific, Los Angeles, CA
| | | | - Stuart Knechtle
- Department of Surgery and Immunology, Duke University, Durham, NC
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26
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Harada H, Fukuzawa N, Abe T, Imamura R, Masaki N, Fujiyama N, Sato S, Hatakeyama S, Nishimura K, Kishikawa H, Iwami D, Hotta K, Miura M, Ide K, Nakamura M, Kosoku A, Uchida J, Murakami T, Tsuji T. Development and nationwide validation of kidney graft injury markers using urinary exosomes and microvesicles (complete English translation of the Japanese version). BMC Nephrol 2023; 24:158. [PMID: 37280521 DOI: 10.1186/s12882-023-03189-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 04/27/2023] [Indexed: 06/08/2023] Open
Abstract
BACKGROUND Non-invasive, prompt, and proper detection tools for kidney graft injuries (KGIs) are awaited to ensure graft longevity. We screened diagnostic biomarkers for KGIs following kidney transplantation using extracellular vesicles (EVs; exosomes and microvesicles) from the urine samples of patients. METHODS One hundred and twenty-seven kidney recipients at 11 Japanese institutions were enrolled in this study; urine samples were obtained prior to protocol/episode biopsies. EVs were isolated from urine samples, and EV RNA markers were assayed using quantitative reverse transcription polymerase chain reaction. Diagnostic performance of EV RNA markers and diagnostic formulas comprising these markers were evaluated by comparison with the corresponding pathological diagnoses. RESULTS EV CXCL9, CXCL10, and UMOD were elevated in T-cell-mediated rejection samples compared with other KGI samples, while SPNS2 was elevated in chronic antibody-mediated rejection (cABMR) samples. A diagnostic formula developed through Sparse Logistic Regression analysis using EV RNA markers allowed us to accurately (with an area under the receiver operator characteristic curve [AUC] of 0.875) distinguish cABMR from other KGI samples. EV B4GALT1 and SPNS2 were also elevated in cABMR, and a diagnostic formula using these markers was able to distinguish between cABMR and chronic calcineurin toxicity accurately (AUC 0.886). In interstitial fibrosis and tubular atrophy (IFTA) urine samples and those with high Banff chronicity score sums (BChS), POTEM levels may reflect disease severity, and diagnostic formulas using POTEM detected IFTA (AUC 0.830) and high BChS (AUC 0.850). CONCLUSIONS KGIs could be diagnosed with urinary EV mRNA analysis with relatively high accuracy.
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Affiliation(s)
- Hiroshi Harada
- Department of Kidney Transplant Surgery, Sapporo City General Hospital, 1-1 Kita 11-jo Nishi 13-chome, Chuou- ku, Sapporo, Hokkaido, 060-8604, Japan.
- Harada Urological Clinic, 4F Hokuyaku Bldg., 1-1 Kita 11-jo Nishi 14-chome, Chuou-ku, Sapporo, Hokkaido, 060-0011, Japan.
| | - Nobuyuki Fukuzawa
- Department of Kidney Transplant Surgery, Sapporo City General Hospital, 1-1 Kita 11-jo Nishi 13-chome, Chuou- ku, Sapporo, Hokkaido, 060-8604, Japan
| | - Toyofumi Abe
- Department of Urology, Graduate School of Medicine, Faculty of Medicine, Osaka University, 1 Machikaneyama- cho, Toyonaka, Osaka, 560-0043, Japan
| | - Ryoichi Imamura
- Department of Urology, Graduate School of Medicine, Faculty of Medicine, Osaka University, 1 Machikaneyama- cho, Toyonaka, Osaka, 560-0043, Japan
| | - Noriyuki Masaki
- Department of Kidney Surgery, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162- 8666, Japan
| | - Nobuhiro Fujiyama
- Department of Center for Kidney Disease and Transplantation, Akita University Hospital, 44-2 Hiroomote Azahasunuma, Akita, Akita, 010-8543, Japan
| | - Shigeru Sato
- Department of Center for Kidney Disease and Transplantation, Akita University Hospital, 44-2 Hiroomote Azahasunuma, Akita, Akita, 010-8543, Japan
| | - Shingo Hatakeyama
- Department of Urology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori, 036-8562, Japan
| | - Kenji Nishimura
- Department of Urology, Hyogo Prefectural Nishinomiya Hospital, 13-9 Rokutanji-cho, Nishinomiya, Hyogo, Japan
| | - Hidefumi Kishikawa
- Department of Urology, Hyogo Prefectural Nishinomiya Hospital, 13-9 Rokutanji-cho, Nishinomiya, Hyogo, Japan
| | - Daiki Iwami
- Division of Renal Surgery and Transplantation, Department of Urology, Jichi Medical University, 3311-1, Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan
| | - Kiyohiko Hotta
- Department of Renal and Genitourinary Surgery, Graduate School of Medicine, Hokkaido University, Kita 15-jo Nishi 7-chome, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Masayoshi Miura
- Department of Kidney Transplant Surgery, Sapporo Hokuyu Hospital, 5-1 Higashi-sapporo 6-jo 6-chome, Shiroishi- ku, Sapporo, Hokkaido, 003-0006, Japan
| | - Kentaro Ide
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biochemical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8553, Japan
| | - Michio Nakamura
- Department of Transplant Surgery, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
| | - Akihiro Kosoku
- Department of Urology, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-Machi, Abeno-ku, Osaka, Osaka, 545- 8585, Japan
| | - Junji Uchida
- Department of Urology, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-Machi, Abeno-ku, Osaka, Osaka, 545- 8585, Japan
| | - Taku Murakami
- R&D Center, Hitachi Chemical Co. America, Ltd. 1003 Health Sciences Road, Irvine, CA, 92617, USA
| | - Takahiro Tsuji
- Department of Pathology, Sapporo City General Hospital, 1-1 Kita 11-jo Nishi 13-chome, Chuou-ku, Sapporo, Hokkaido, 060-8604, Japan
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27
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Suthanthiran M. Urine as liquid gold: the transcriptional landscape of acute rejection defined by urinary cell mRNA profiling of kidney allograft recipients. Curr Opin Organ Transplant 2023; 28:117-125. [PMID: 36757681 PMCID: PMC9992246 DOI: 10.1097/mot.0000000000001051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
PURPOSE OF REVIEW Because all functioning nephrons contribute to urine formation, we reasoned that urine would be a suitable substitute to kidney allograft biopsy to discern human kidney allograft status. In view of compelling data that ribonucleic acid (RNA) sequencing outperforms microarray-based profiling, we performed RNA sequencing of urinary cells and kidney allograft biopsies to define the transcriptional landscape of allograft rejection. RECENT FINDINGS Whole genome transcriptome profiling identified unique and shared gene signatures of acute T cell mediated rejection (TCMR) and antibody mediated rejection (AMR). We found that biopsy rejection signatures are enriched in urinary cells and that the immune cellular landscape is more diverse and enriched in urine compared to biopsies. Towards a patient friendly protocol for urinary cell messenger RNA (mRNA) profiling, we developed a filtration-based protocol for the initial processing of urine at home and demonstrated excellent performance characteristics of the filter- based protocol. SUMMARY Acute rejection signatures are enriched in urinary cells. Urinary cell mRNA profiles are diagnostic and prognostic of acute rejection and could serve as yardsticks of in-vivo immune status. RNA sequencing yields insights into mechanisms of rejection and helps prioritize therapeutic targets. The filtration protocol for home processing of urine may optimize immune surveillance.
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Affiliation(s)
- Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Weill Cornell Department of Medicine and Department of Transplantation Medicine, NewYork-Presbyterian Hospital
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28
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Pascual J, Crespo M, Portoles J, Jimenez C, Ortega-Carrion A, Diez T, Portero I. The IMBG Test for Evaluating the Pharmacodynamic Response to Immunosuppressive Therapy in Kidney Transplant Patients: Current Evidence and Future Applications. Int J Mol Sci 2023; 24:ijms24065201. [PMID: 36982276 PMCID: PMC10049381 DOI: 10.3390/ijms24065201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/02/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023] Open
Abstract
Immunosuppressive drugs are widely used to prevent rejection after kidney transplantation. However, the pharmacological response to a given immunosuppressant can vary markedly between individuals, with some showing poor treatment responses and/or experiencing serious side effects. There is an unmet need for diagnostic tools that allow clinicians to individually tailor immunosuppressive therapy to a patient’s immunological profile. The Immunobiogram (IMBG) is a novel blood-based in vitro diagnostic test that provides a pharmacodynamic readout of the immune response of individual patients to a range of immunosuppressants commonly used in kidney transplant recipients. Here, we discuss the current approaches used to measure the pharmacodynamic responses of individual patients to specific immunosuppressive drugs in vitro, which can then be correlated with patient’s clinical outcomes. We also describe the procedure of the IMBG assay, and summarize the results obtained using the IMBG in different kidney transplant populations. Finally, we outline future directions and other novel applications of the IMBG, both in kidney transplant patients and other autoimmune diseases.
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Affiliation(s)
- Julio Pascual
- Nephrology Department, Hospital 12 de Octubre, 28041 Madrid, Spain
- Nephrology Department, Hospital del Mar, Institut Mar for Medical Research, 08003 Barcelona, Spain
- Correspondence:
| | - Marta Crespo
- Nephrology Department, Hospital del Mar, Institut Mar for Medical Research, 08003 Barcelona, Spain
| | - Jose Portoles
- Nephrology Department, Hospital Puerta de Hierro Mahadahonda, Institute IDHIPHIM for Medical Research, 28222 Madrid, Spain
| | - Carlos Jimenez
- Nephrology Department, Hospital La Paz, 28046 Madrid, Spain
| | | | - Teresa Diez
- Biohope Scientific Solutions for Human Health, 28760 Madrid, Spain
| | - Isabel Portero
- Biohope Scientific Solutions for Human Health, 28760 Madrid, Spain
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29
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Salinas T, Li C, Snopkowski C, Stryjniak G, Shankaranarayanan D, Albakry S, Ding R, Sharma VK, Salvatore SP, Seshan SV, Dadhania DM, Muthukumar T, Suthanthiran M. Urinary cell mRNA profiling of kidney allograft recipients: Development of a portable protocol for noninvasive diagnosis of T cell mediated rejection and BK virus nephropathy. J Immunol Methods 2023; 512:113402. [PMID: 36493873 DOI: 10.1016/j.jim.2022.113402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 11/22/2022] [Accepted: 12/03/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND We developed urinary cell mRNA profiling for noninvasive diagnosis of acute T cell mediated rejection (TCMR) and BK virus nephropathy (BKVN), two significant post-transplant complications. Our profiling protocol for the multicenter Clinical Trial of Transplantation-04 (CTOT-04) study consisted of centrifugation of urine to prepare cell pellets, washes, addition of an RNA preservative, storage at 800C and shipment in cold containers to our Gene Expression Monitoring (GEM) Core for RNA isolation and quantification of mRNA in RT-qPCR assays. To simplify profiling, we developed a filter-based protocol (ZFBP) that eliminated the need for centrifugation, RNA preservative, storage at 800C, and shipment in cold containers for mRNA profiling. Furthermore, we trained kidney allograft recipients to perform the filtration of urine at home using the filter and post the urinary cell lysate containing the RNA at ambient temperature to our GEM Core for profiling. Here, we report our refinement of ZFBP and investigation of its diagnostic performance characteristics. METHODS Total RNA was isolated from kidney allograft biopsy-matched urines using a filter-based protocol complemented by a silica-membrane-based cartridge for mRNA enrichment, the Weill Cornell Hybrid Protocol (WCHP). Absolute copy numbers of CD3ε mRNA, CXCL10 mRNA, and 18S rRNA, components of the CTOT-04 three-gene TCMR diagnostic signature, and urinary cell BKV VP 1 mRNA copy number were measured using RT-qPCR assays. Mann-Whitney test, Fischer exact test, and receiver operating characteristic (ROC) curve analysis were used for data analyses. RESULTS Urinary cell three-gene TCMR diagnostic signature scores in urines processed using the WCHP discriminated kidney allograft recipients with TCMR (12 TCMR biopsies from 11 patients) from those without TCMR or BKVN (29 No TCMR/No BKVN biopsies from 29 patients). The median (25th and 75th percentiles) score of the CTOT-04 three-gene TCMR diagnostic signature was -0.448 (-1.664, 0.204) in the TCMR group and - 2.542 (-3.267, -1.365) in the No TCMR/ No BKVN group (P = 0.0005, Mann-Whitney test). ROC curve analysis discriminated the TCMR group from the No TCMR/ No BKVN group; the area under the ROC curve (AUROC) was 0.84 (95% Confidence Intervals [CI], 0.69 to 0.98) (P < 0.001), and TCMR was diagnosed with a sensitivity of 67% (95% CI, 35 to 89) at a specificity of 86% (95% CI, 67 to 95) using the CTOT-04 validated cutpoint of -1.213 (P = 0.0016, Fisher exact test). BKV VP1 mRNA copy number in urines processed using the WCHP discriminated patients with BKVN (n = 7) from patients without TCMR or BKVN (n = 29) and the AUROC was 1.0 (95% CI, 1.00 to 1.00) (P < 0.0001) and BKVN was diagnosed with a sensitivity of 86% (95% CI, 42 to 99) at a specificity of 100% (95% CI, 85 to 100) with the previously validated cutpoint of 6.5 × 108 BKV-VP1 mRNA copies per microgram of RNA (P < 0.0001, Fisher exact test). CONCLUSION Urine processed using the WCHP predicted TCMR and BKVN in kidney allograft recipients. WCHP represents not only a significant advance toward the portability of urinary cell mRNA profiling but also improved patient management by minimizing their visits for urine collection.
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Affiliation(s)
- Thalia Salinas
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian Hospital-Weill Cornell Medicine, New York, NY, USA.
| | - Carol Li
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Catherine Snopkowski
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Gabriel Stryjniak
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Divya Shankaranarayanan
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Shady Albakry
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Ruchuang Ding
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Vijay K Sharma
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Steven P Salvatore
- Division of Renal Pathology, Department of Pathology, NewYork-Presbyterian Hospital-Weill Cornell Medicine, New York, NY, USA
| | - Surya V Seshan
- Division of Renal Pathology, Department of Pathology, NewYork-Presbyterian Hospital-Weill Cornell Medicine, New York, NY, USA
| | - Darshana M Dadhania
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian Hospital-Weill Cornell Medicine, New York, NY, USA
| | - Thangamani Muthukumar
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian Hospital-Weill Cornell Medicine, New York, NY, USA
| | - Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian Hospital-Weill Cornell Medicine, New York, NY, USA
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30
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Huang E, Mengel M, Clahsen-van Groningen MC, Jackson AM. Diagnostic Potential of Minimally Invasive Biomarkers: A Biopsy-centered Viewpoint From the Banff Minimally Invasive Diagnostics Working Group. Transplantation 2023; 107:45-52. [PMID: 36508645 PMCID: PMC9746335 DOI: 10.1097/tp.0000000000004339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 07/15/2022] [Accepted: 07/26/2022] [Indexed: 12/14/2022]
Abstract
With recent advances and commercial implementation of minimally invasive biomarkers in kidney transplantation, new strategies for the surveillance of allograft health are emerging. Blood and urine-based biomarkers can be used to detect the presence of rejection, but their applicability as diagnostic tests has not been studied. A Banff working group was recently formed to consider the potential of minimally invasive biomarkers for integration into the Banff classification for kidney allograft pathology. We review the existing data on donor-derived cell-free DNA, blood and urine transcriptomics, urinary protein chemokines, and next-generation diagnostics and conclude that the available data do not support their use as stand-alone diagnostic tests at this point. Future studies assessing their ability to distinguish complex phenotypes, differentiate T cell-mediated rejection from antibody-mediated rejection, and function as an adjunct to histology are needed to elevate these minimally invasive biomarkers from surveillance tests to diagnostic tests.
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Affiliation(s)
- Edmund Huang
- Division of Nephrology, Department of Medicine, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Michael Mengel
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
| | - Marian C. Clahsen-van Groningen
- Department of Pathology and Clinical Bioinformatics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Transplant Institute, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Institute of Experimental and Systems Biology, RWTH Aachen University, Aachen, Germany
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31
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Kolonko A, Dwulit T, Skrzypek M, Więcek A. Potential Utility of Neutrophil-to-Lymphocyte, Platelet-to-Lymphocyte, and Neutrophil, Lymphocyte, and Platelet Ratios in Differential Diagnosis of Kidney Transplant Acute Rejection: A Retrospective, Propensity Score Matched Analysis. Ann Transplant 2022; 27:e937239. [PMID: 36536590 PMCID: PMC9789674 DOI: 10.12659/aot.937239] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Acute kidney transplant rejection can negatively affect long-term graft function. The neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio have been proposed as non-invasive predictors of acute rejection in stable kidney transplant recipients. The aim of this study was to validate the predictive value of these ratios, as well as neutrophil, lymphocyte, and platelet ratios in the diagnosis of acute rejection during the early post-transplant period. MATERIAL AND METHODS After propensity score matching, we compared 71 kidney recipients with biopsy-proven acute rejection with 71 patients without rejection and also subjects with different histologic types of rejection. All 3 types of blood cell count-derived ratios were calculated 6 and 3 days prior to biopsy and on the day of biopsy. RESULTS There were 15 patients with T cell-mediated rejection, 33 with vascular rejection, and 23 with antibody-mediated rejection. The values of all examined ratios did not differ between subgroups with and without rejection. However, at all post-transplant study time-points, patients with antibody-mediated rejection had significantly higher values of all analyzed ratios than subjects with other types of rejection. In multivariate regression models, higher values of blood cell count-derived ratios were independently associated with the occurrence of antibody-mediated rejection. CONCLUSIONS In the early post-transplant period, the values of neutrophil-to-lymphocyte, platelet-to-lymphocyte, and neutrophil, lymphocyte, and platelet ratios were similar in patients with and without an acute rejection episode, but significantly higher values were found in subjects with antibody-mediated rejection as compared with other types of rejection and those without rejection. High values of analyzed ratios in patients with satisfactory early kidney graft function may be helpful in selecting subjects with increased risk of subclinical antibody-mediated rejection.
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Affiliation(s)
- Aureliusz Kolonko
- Department of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia, Katowice, Poland
| | - Tomasz Dwulit
- Department of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia, Katowice, Poland
| | - Michał Skrzypek
- Department of Biostatistics, School of Health Sciences in Bytom, Medical University of Silesia, Bytom, Poland
| | - Andrzej Więcek
- Department of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia, Katowice, Poland
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Johnson AC, Silva JAF, Kim SC, Larsen CP. Progress in kidney transplantation: The role for systems immunology. Front Med (Lausanne) 2022; 9:1070385. [PMID: 36590970 PMCID: PMC9800623 DOI: 10.3389/fmed.2022.1070385] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/16/2022] [Indexed: 12/23/2022] Open
Abstract
The development of systems biology represents an immense breakthrough in our ability to perform translational research and deliver personalized and precision medicine. A multidisciplinary approach in combination with use of novel techniques allows for the extraction and analysis of vast quantities of data even from the volume and source limited samples that can be obtained from human subjects. Continued advances in microfluidics, scalability and affordability of sequencing technologies, and development of data analysis tools have made the application of a multi-omics, or systems, approach more accessible for use outside of specialized centers. The study of alloimmune and protective immune responses after solid organ transplant offers innumerable opportunities for a multi-omics approach, however, transplant immunology labs are only just beginning to adopt the systems methodology. In this review, we focus on advances in biological techniques and how they are improving our understanding of the immune system and its interactions, highlighting potential applications in transplant immunology. First, we describe the techniques that are available, with emphasis on major advances that allow for increased scalability. Then, we review initial applications in the field of transplantation with a focus on topics that are nearing clinical integration. Finally, we examine major barriers to adapting these methods and discuss potential future developments.
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Introduction of Dr Mannikam Suthanthiran as Recipient of the Medawar Prize for 2022. Transplantation 2022; 106:2286-2288. [PMID: 36436100 DOI: 10.1097/tp.0000000000004451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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The Medawar Prize Acceptance Speech 2022. Transplantation 2022; 106:2289-2292. [PMID: 36436101 DOI: 10.1097/tp.0000000000004448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Harrington C, Krishnan S, Mack CL, Cravedi P, Assis DN, Levitsky J. Noninvasive biomarkers for the diagnosis and management of autoimmune hepatitis. Hepatology 2022; 76:1862-1879. [PMID: 35611859 PMCID: PMC9796683 DOI: 10.1002/hep.32591] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/29/2022] [Accepted: 03/30/2022] [Indexed: 01/07/2023]
Abstract
Autoimmune hepatitis (AIH) is a rare disease of unclear etiology characterized by loss of self-tolerance that can lead to liver injury, cirrhosis, and acute liver failure. First-line treatment consists of systemic corticosteroids, or budesonide, and azathioprine, to which most patients are initially responsive, although predictors of response are lacking. Relapses are very common, correlate with histological activity despite normal serum transaminases, and increase hepatic fibrosis. Furthermore, current regimens lead to adverse effects and reduced quality of life, whereas medication titration is imprecise. Biomarkers that can predict the clinical course of disease, identify patients at elevated risk for relapse, and improve monitoring and medication dosing beyond current practice would have high clinical value. Herein, we review novel candidate biomarkers in adult and pediatric AIH based on prespecified criteria, including gene expression profiles, proteins, metabolites, and immune cell phenotypes in different stages of AIH. We also discuss biomarkers relevant to AIH from other immune diseases. We conclude with proposed future directions in which biomarker implementation into clinical practice could lead to advances in personalized therapeutic management of AIH.
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Affiliation(s)
- Claire Harrington
- Division of Gastroenterology & HepatologyNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Swathi Krishnan
- Medicine DepartmentYale School of MedicineNew HavenConnecticutUSA
| | - Cara L. Mack
- Section of Pediatric Gastroenterology, Hepatology & Nutrition, Children's Hospital ColoradoUniversity of Colorado School of MedicineAuroraColoradoUSA
| | - Paolo Cravedi
- Division of NephrologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - David N. Assis
- Section of Digestive DiseasesYale School of MedicineNew HavenConnecticutUSA
| | - Josh Levitsky
- Division of Gastroenterology & HepatologyNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
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Cheung J, Zahorowska B, Suranyi M, Wong JKW, Diep J, Spicer ST, Verma ND, Hodgkinson SJ, Hall BM. CD4 +CD25 + T regulatory cells in renal transplantation. Front Immunol 2022; 13:1017683. [PMID: 36426347 PMCID: PMC9681496 DOI: 10.3389/fimmu.2022.1017683] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 10/13/2022] [Indexed: 09/14/2023] Open
Abstract
The immune response to an allograft activates lymphocytes with the capacity to cause rejection. Activation of CD4+CD25+Foxp3+T regulatory cells (Treg) can down-regulate allograft rejection and can induce immune tolerance to the allograft. Treg represent <10% of peripheral CD4+T cells and do not markedly increase in tolerant hosts. CD4+CD25+Foxp3+T cells include both resting and activated Treg that can be distinguished by several markers, many of which are also expressed by effector T cells. More detailed characterization of Treg to identify increased activated antigen-specific Treg may allow reduction of non-specific immunosuppression. Natural thymus derived resting Treg (tTreg) are CD4+CD25+Foxp3+T cells and only partially inhibit alloantigen presenting cell activation of effector cells. Cytokines produced by activated effector cells activate these tTreg to more potent alloantigen-activated Treg that may promote a state of operational tolerance. Activated Treg can be distinguished by several molecules they are induced to express, or whose expression they have suppressed. These include CD45RA/RO, cytokine receptors, chemokine receptors that alter pathways of migration and transcription factors, cytokines and suppression mediating molecules. As the total Treg population does not increase in operational tolerance, it is the activated Treg which may be the most informative to monitor. Here we review the methods used to monitor peripheral Treg, the effect of immunosuppressive regimens on Treg, and correlations with clinical outcomes such as graft survival and rejection. Experimental therapies involving ex vivo Treg expansion and administration in renal transplantation are not reviewed.
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Affiliation(s)
- Jason Cheung
- Renal Unit, Liverpool Hospital, Sydney, NSW, Australia
| | | | - Michael Suranyi
- Renal Unit, Liverpool Hospital, Sydney, NSW, Australia
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia
| | | | - Jason Diep
- Renal Unit, Liverpool Hospital, Sydney, NSW, Australia
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Stephen T. Spicer
- Renal Unit, Liverpool Hospital, Sydney, NSW, Australia
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Nirupama D. Verma
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia
- Immune Tolerance Laboratory, Ingham Institute for Applied Medical Research, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Suzanne J. Hodgkinson
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia
- Immune Tolerance Laboratory, Ingham Institute for Applied Medical Research, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Bruce M. Hall
- Renal Unit, Liverpool Hospital, Sydney, NSW, Australia
- South Western Sydney Clinical School, University of New South Wales (UNSW), Sydney, NSW, Australia
- Immune Tolerance Laboratory, Ingham Institute for Applied Medical Research, University of New South Wales (UNSW), Sydney, NSW, Australia
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Tan KK, Chien TW, Kan WC, Wang CY, Chou W, Wang HY. Research features between Urology and Nephrology authors in articles regarding UTI related to CKD, HD, PD, and renal transplantation. Medicine (Baltimore) 2022; 101:e31052. [PMID: 36254018 PMCID: PMC9575707 DOI: 10.1097/md.0000000000031052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND A urinary tract infection (UTI) is one of the most common types of infections affecting the urinary tract. When bacteria enter the bladder or kidney and multiply in the urine, a URI can occur. The urethra is shorter in women than in men, which makes it easier for bacteria to reach the bladder or kidneys and cause infection. A comparison of the research differences between Urology and Nephrology (UN) authors regarding UTI pertaining to the 4 areas (i.e., Chronic Kidney Disease, Hemodialysis, Peritoneal Dialysis, and Renal Transplantation [CHPR]) is thus necessary. We propose and verify 2 hypotheses: CHPR-related articles on UTI have equal journal impact factors (JIFs) in research achievements (RAs) and UN authors have similar research features (RFs). METHODS Based on keywords associated with UTI and CHPR in titles, subject areas, and abstracts since 2013, we obtained 1284 abstracts and their associated metadata (e.g., citations, authors, research institutes, departments, countries of origin) from the Web of Science core collection. There were 1030 corresponding and first (co-first) authors with hT-JIF-indices (i.e., JIF was computed using hT-index rather than citations as usual). The following 5 visualizations were used to present the author's RA: radar, Sankey, time-to-event, impact beam plot, and choropleth map. The forest plot was used to distinguish RFs by observing the proportional counts of keyword plus in Web of Science core collection between UN authors. RESULTS It was observed that CHPR-related articles had unequal JIFs (χ2 = 13.08, P = .004, df = 3, n = 1030) and UN departments had different RFs (Q = 53.24, df = 29, P = .004). In terms of countries, institutes, departments, and authors, the United States (hT-JIF = 38.30), Mayo Clinic (12.9), Nephrology (19.14), and Diana Karpman (10.34) from Sweden had the highest hT-JIF index. CONCLUSION With the aid of visualizations, the hT-JIF-index and keyword plus were demonstrated to assess RAs and distinguish RFs between UN authors. A replication of this study under other topics and in other disciplines is recommended in the future, rather than limiting it to UN authors only, as we did in this study.
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Affiliation(s)
- Keng-Kok Tan
- Department of Urology, Chi Mei Hospital (Chiali), Tainan, Taiwan
| | - Tsair-Wei Chien
- Department of Medical Research, Chi-Mei Medical Center, Tainan, Taiwan
| | - Wei-Chih Kan
- Department of Nephrology, Chi-Mei Medical Center, Tainan, Taiwan
- Department of Biological Science and Technology, Chung Hwa University of Medical Technology, Tainan, Taiwa
| | | | - Willy Chou
- Department of Physical Medicine and Rehabilitation, Chiali Chi-Mei Hospital, Tainan, Taiwan
- Department of Physical Medicine and Rehabilitation, Chung San Medical University Hospital, Taichung, Taiwan
| | - Hsien-Yi Wang
- Department of Nephrology, Chi-Mei Medical Center, Tainan, Taiwan
- Department of Sport Management, College of Leisure and Recreation Management, Chia Nan University of Pharmacy and Science, Tainan, Taiwan
- * Correspondence: Hsien-Yi Wang, Chi-Mei Medical Center, 901 Chung Hwa Road, Yung Kung Dist., Tainan 710, Taiwan (e-mail: )
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Sedej I, Štalekar M, Tušek Žnidarič M, Goričar K, Kojc N, Kogovšek P, Dolžan V, Arnol M, Lenassi M. Extracellular vesicle-bound DNA in urine is indicative of kidney allograft injury. J Extracell Vesicles 2022; 11:e12268. [PMID: 36149031 PMCID: PMC9503341 DOI: 10.1002/jev2.12268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 07/29/2022] [Accepted: 09/09/2022] [Indexed: 11/11/2022] Open
Abstract
Extracellular vesicle‐bound DNA (evDNA) is an understudied extracellular vesicle (EV) cargo, particularly in cancer‐unrelated research. Although evDNA has been detected in urine, little is known about its characteristics, localization, and biomarker potential for kidney pathologies. To address this, we enriched EVs from urine of well‐characterized kidney transplant recipients undergoing allograft biopsy, characterized their evDNA and its association to allograft injury. The SEC‐based method enriched pure EVs from urine of kidney transplant recipients, regardless of the allograft injury. Urinary evDNA represented up to 29.2 ± 8% (mean ± SD) of cell‐free DNA (cfDNA) and correlated with cfDNA in several characteristics but was less fragmented (P < 0.001). Importantly, using DNase treatment and immunogold labelling TEM, we demonstrated that evDNA was bound to the surface of urinary EVs. Normalised evDNA yield (P = 0.042) and evDNA copy number (P = 0.027) significantly differed between patients with normal histology, rejection injury and non‐rejection injury, the later groups having significantly larger uEVs (mean diameter, P = 0.045) and more DNA bound per uEV. ddDNA is detectable in uEV samples of kidney allograft recipients, but its quantity is highly variable. In a proof‐of‐principle study, several evDNA characteristics correlated with clinical and histological parameters (P = 0.040), supporting that the potential of evDNA as a biomarker for kidney allograft injury should be further investigated.
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Affiliation(s)
- Ivana Sedej
- Department of Nephrology, Division of Internal Medicine, University Medical Center Ljubljana, Ljubljana, Slovenia.,Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Maja Štalekar
- Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia
| | - Magda Tušek Žnidarič
- Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia
| | - Katja Goričar
- Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Nika Kojc
- Institute of Pathology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Polona Kogovšek
- Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia
| | - Vita Dolžan
- Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Miha Arnol
- Department of Nephrology, Division of Internal Medicine, University Medical Center Ljubljana, Ljubljana, Slovenia.,Department of Internal Medicine, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Metka Lenassi
- Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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Li C, Hughes C, Ding R, Snopkowski C, Salinas T, Schwartz J, Dadhania D, Suthanthiran M. Development of a Bak gene based standard curve for absolute quantification of BK virus in real time quantitative PCR assay and noninvasive diagnosis of BK virus nephropathy in kidney allograft recipients. J Immunol Methods 2022; 509:113341. [PMID: 36027931 DOI: 10.1016/j.jim.2022.113341] [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: 06/24/2022] [Revised: 08/12/2022] [Accepted: 08/18/2022] [Indexed: 10/15/2022]
Abstract
BACKGROUND BK virus nephropathy (BKVN) is a frequent and serious post-transplant complication and undermines realization of the full benefits of kidney transplantation. We developed a Bak amplicon-based standard curve for absolute quantification of BKV VP1 mRNA copy number in the real time quantitative PCR (RT-qPCR) assay and investigated the performance characteristics of this novel assay. METHODS We determined analytical specificity, sensitivity, and precision of our 73 bp mouse Bak amplicon based standard curve for absolute quantification of BKV VP1 mRNA in RT-qPCR assays. The diagnostic accuracy of the Bak standard curve in the RT-qPCR assay for the noninvasive diagnosis of BKVN in human kidney allograft recipients was investigated by quantification of BKV VP1 mRNA copy number in 192 urine samples matched to 192 kidney allograft biopsies from 155 unique kidney allograft recipients. Intraclass correlation coefficients (ICC) were calculated for the threshold cycles (Ct) and BKV VP1 mRNA copy number observed in the RT-qPCR assay with the Bak standard curve or the BKV standard curve. RESULTS Performance characteristics of the Bak amplicon-based RT-qPCR assay were exceptional with a slope of -3.291, Y-intercept of 38.60, R2 value of 1.00, efficiency of 101% and error of 0.014. Amplification was specific for the Bak amplicon. Intra assay standard deviation (SD) was 0.08 or less and inter assay SD was 0.11 or less for 31 cycles or less of amplification of the Bak amplicon. Receiver operating characteristic (ROC) curve analysis of BKV VP1 mRNA copy number in 192 biopsy matched urines yielded an area under the ROC of 0.982 (95% CI, 0.964 to 0.999, P < 0.0001) for discriminating patients with BKVN biopsies from patients without BKVN biopsies. The striking identity in the measurement of BKV VP1 mRNA copy numbers in the Bak amplicon-based RT-qPCR assay and in the BKV amplicon-based RT-qPCR assay was shown by an ICC of 1.00 when the Cts were compared, and an ICC of 0.99 when the log10 BKV VP1 mRNA copy numbers were compared. CONCLUSIONS Bak standard curve for absolute quantification of BKV VP1 mRNA copy number in the RT-qPCR assay demonstrated high efficiency, short and long-term precision and analytical specificity. BKVN was diagnosed with high accuracy. Our new findings, viewed in the light of our earlier demonstration that absolute quantification of a panel of mRNAs encoding immunoregulatory proteins is feasible with the Bak amplicon-based RT-qPCR assays, suggest that the Bak standard curve could serve as a universal calibrator for absolute quantification of transcripts in RT-qPCR assays and help reduce the workload, costs and eliminate contamination of genes of interest by repeated amplification of gene specific standard curves.
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Affiliation(s)
- Carol Li
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Clayton Hughes
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Ruchuang Ding
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Catherine Snopkowski
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Thalia Salinas
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian Hospital-Weill Cornell Medicine, New York, NY, USA
| | - Joseph Schwartz
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA
| | - Darshana Dadhania
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian Hospital-Weill Cornell Medicine, New York, NY, USA
| | - Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Department of Medicine, NewYork-Presbyterian-Weill Cornell Medicine, New York, NY, USA; Department of Transplantation Medicine, NewYork-Presbyterian Hospital-Weill Cornell Medicine, New York, NY, USA.
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Liu SJ, Ma K, Liu LS, Wang K, Zhang YA, Bi ZR, Chen YX, Chen KZ, Wang CX, Qiao SL. Point-of-care non-invasive enzyme-cleavable nanosensors for acute transplant rejection detection. Biosens Bioelectron 2022; 215:114568. [PMID: 35850041 DOI: 10.1016/j.bios.2022.114568] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/24/2022] [Accepted: 07/09/2022] [Indexed: 12/28/2022]
Abstract
Accurate and non-invasive monitoring of allograft posttransplant is essential for early detection of acute cellular rejection and determines the long-term survival of the graft. Clinically, tissue biopsy is the most effective approach for diagnosing transplant rejection. Nonetheless, the procedure is invasive and potentially triggers organ failure. This work aims to design and apply GzmB-responsive nanosensors (GBRNs) that can readily size-change in graft tissues. Subsequently, we investigate the activity of serine protease granzyme B by generating a direct colorimetric urinary readout for non-invasive detection of transplant rejection in under 1 h. In preclinical heart graft mice models of transplant rejection, GBRNs were cleaved by GzmB and excreted by the kidneys via accurate nanometre-size glomerular filtration. By exploiting the catalytic activity of ultrasmall gold nanoclusters, GBRNs urinalysis promotes ultrasensitive surveillance of rejection episodes with a receiver operator characteristic curve area under the curve of 0.896 as well as a 95% confidence interval of about 0.7701-1.000. Besides, the catalytic activity of gold nanoclusters in urine can be detected at point-of-care testing to predict the immunity responses in mice with insufficient immunosuppressive therapy. Therefore, this non-invasive, sensitive, and quantitative method is a robust and informative approach for rapid and routine monitoring of transplant allografts without invasive biopsy.
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Affiliation(s)
- Shi-Jie Liu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510020, PR China
| | - Ke Ma
- Lab of Functional and Biomedical Nanomaterials, College of Materials Science and Engineering, Qingdao University of Science and Technology (QUST), Qingdao, 266042, PR China
| | - Long-Shan Liu
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510020, PR China
| | - Ke Wang
- Lab of Functional and Biomedical Nanomaterials, College of Materials Science and Engineering, Qingdao University of Science and Technology (QUST), Qingdao, 266042, PR China
| | - Ying-Ao Zhang
- Lab of Functional and Biomedical Nanomaterials, College of Materials Science and Engineering, Qingdao University of Science and Technology (QUST), Qingdao, 266042, PR China
| | - Zi-Rong Bi
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510020, PR China
| | - Yan-Xu Chen
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510020, PR China
| | - Ke-Zheng Chen
- Lab of Functional and Biomedical Nanomaterials, College of Materials Science and Engineering, Qingdao University of Science and Technology (QUST), Qingdao, 266042, PR China.
| | - Chang-Xi Wang
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510020, PR China.
| | - Sheng-Lin Qiao
- Lab of Functional and Biomedical Nanomaterials, College of Materials Science and Engineering, Qingdao University of Science and Technology (QUST), Qingdao, 266042, PR China.
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Zhou H, Wang Y, Xu H, Shen X, Zhang T, Zhou X, Zeng Y, Li K, Zhang L, Zhu H, Yang X, Li N, Yang Z, Liu Z. Noninvasive interrogation of CD8+ T cell effector function for monitoring tumor early responses to immunotherapy. J Clin Invest 2022; 132:161065. [PMID: 35788116 PMCID: PMC9374377 DOI: 10.1172/jci161065] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 06/24/2022] [Indexed: 11/17/2022] Open
Abstract
Accurately identifying patients who respond to immunotherapy remains clinically challenging. A noninvasive method that can longitudinally capture information about immune cell function and assist in the early assessment of tumor responses is highly desirable for precision immunotherapy. Here, we show that PET imaging using a granzyme B–targeted radiotracer named 68Ga-grazytracer, could noninvasively and effectively predict tumor responses to immune checkpoint inhibitors and adoptive T cell transfer therapy in multiple tumor models. 68Ga-grazytracer was designed and selected from several radiotracers based on non-aldehyde peptidomimetics, and exhibited excellent in vivo metabolic stability and favorable targeting efficiency to granzyme B secreted by effector CD8+ T cells during immune responses. 68Ga-grazytracer permitted more sensitive discrimination of responders and nonresponders than did 18F-fluorodeoxyglucose, distinguishing between tumor pseudoprogression and true progression upon immune checkpoint blockade therapy in mouse models with varying immunogenicity. In a preliminary clinical trial with 5 patients, no adverse events were observed after 68Ga-grazytracer injection, and clinical responses in cancer patients undergoing immunotherapy were favorably correlated with 68Ga-grazytracer PET results. These results highlight the potential of 68Ga-grazytracer PET to enhance the clinical effectiveness of granzyme B secretion–related immunotherapies by supporting early response assessment and precise patient stratification in a noninvasive and longitudinal manner.
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Affiliation(s)
- Haoyi Zhou
- Department of Radiation Medicine, Peking University Health Science Center, Beijing, China
| | - Yanpu Wang
- Department of Radiation Medicine, Peking University Health Science Center, Beijing, China
| | - Hongchuang Xu
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, China
| | - Xiuling Shen
- Department of Nuclear Medicine, Peking University Cancer Hospital, Beijing, China
| | - Ting Zhang
- Department of Radiation Medicine, Peking University Health Science Center, Beijing, China
| | - Xin Zhou
- Department of Nuclear Medicine, Peking University Cancer Hospital, Beijing, China
| | - Yuwen Zeng
- Department of Radiation Medicine, Peking University Health Science Center, Beijing, China
| | - Kui Li
- Department of Radiation Medicine, Peking University Health Science Center, Beijing, China
| | - Li Zhang
- Department of Pathology, Peking University Cancer Hospital, Beijing, China
| | - Hua Zhu
- Department of Nuclear Medicine, Peking University Cancer Hospital, Beijing, China
| | - Xing Yang
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, China
| | - Nan Li
- Department of Nuclear Medicine, Peking University Cancer Hospital, Beijing, China
| | - Zhi Yang
- Department of Nuclear Medicine, Peking University Cancer Hospital, Beijing, China
| | - Zhaofei Liu
- Department of Radiation Medicine, Peking University Health Science Center, Beijing, China
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Peloso A, Moeckli B, Delaune V, Oldani G, Andres A, Compagnon P. Artificial Intelligence: Present and Future Potential for Solid Organ Transplantation. Transpl Int 2022; 35:10640. [PMID: 35859667 PMCID: PMC9290190 DOI: 10.3389/ti.2022.10640] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 06/13/2022] [Indexed: 12/12/2022]
Abstract
Artificial intelligence (AI) refers to computer algorithms used to complete tasks that usually require human intelligence. Typical examples include complex decision-making and- image or speech analysis. AI application in healthcare is rapidly evolving and it undoubtedly holds an enormous potential for the field of solid organ transplantation. In this review, we provide an overview of AI-based approaches in solid organ transplantation. Particularly, we identified four key areas of transplantation which could be facilitated by AI: organ allocation and donor-recipient pairing, transplant oncology, real-time immunosuppression regimes, and precision transplant pathology. The potential implementations are vast—from improved allocation algorithms, smart donor-recipient matching and dynamic adaptation of immunosuppression to automated analysis of transplant pathology. We are convinced that we are at the beginning of a new digital era in transplantation, and that AI has the potential to improve graft and patient survival. This manuscript provides a glimpse into how AI innovations could shape an exciting future for the transplantation community.
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Affiliation(s)
- Andrea Peloso
- Department of General Surgery, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland
- Department of Transplantation, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland
- *Correspondence: Andrea Peloso,
| | - Beat Moeckli
- Department of General Surgery, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland
- Department of Transplantation, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland
| | - Vaihere Delaune
- Department of General Surgery, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland
| | - Graziano Oldani
- Department of General Surgery, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland
- Department of Transplantation, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland
| | - Axel Andres
- Department of General Surgery, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland
- Department of Transplantation, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland
| | - Philippe Compagnon
- Department of Transplantation, University of Geneva Hospitals, University of Geneva, Geneva, Switzerland
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Early prediction of renal graft function: Analysis of a multi-center, multi-level data set. Curr Res Transl Med 2022; 70:103334. [DOI: 10.1016/j.retram.2022.103334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 01/05/2022] [Accepted: 01/14/2022] [Indexed: 11/20/2022]
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A Newly Defined CHA 2DS 2-VA Score for Predicting Obstructive Coronary Artery Disease in Patients with Atrial Fibrillation-A Cross-Sectional Study of Older Persons Referred for Elective Coronary Angiography. J Clin Med 2022; 11:jcm11123462. [PMID: 35743532 PMCID: PMC9224727 DOI: 10.3390/jcm11123462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/05/2022] [Accepted: 06/13/2022] [Indexed: 11/16/2022] Open
Abstract
Purpose: Atrial fibrillation (AF) can be a valuable indicator of non-obstructive coronary artery disease (CAD) among older patients indicated for elective coronary angiography (CAG). Appropriate stratification of AF patients is crucial for avoiding unnecessary complications. The objective of this study was to identify independent predictors that can allow diagnosing obstructive CAD in AF patients over 65 years who were indicated to undergo elective CAG. Patients and methods: This cross-sectional study included 452 (23.9%) AF patients over 65 years old who were directed to the Department of Invasive Cardiology at the Medical University of Bialystok for elective CAG during 2014−2016. The participants had CAD and were receiving optimal therapy (median age: 73 years, interquartile range: 69−77 years; 54.6% men). The prevalence and health correlates of obstructive CAD were determined, and a multivariate logistic regression model was generated with predictors (p < 0.1). Predictive performance was analyzed using a receiver-operating characteristic (ROC) curve analysis. Results: Stenosis (affecting ≥ 50% of the diameter of the left coronary artery stem or ≥70% of that of the other important epicardial vessels) was significant in 184 (40.7%) cases. Multivariate regression analysis revealed that only the male sex (odds ratio [OR]: 1.80, 95% confidence interval [CI]: 1.14−2.84, p = 0.01) and the newly created CHA2DS2-VA score (OR: 3.96, 95% CI: 2.96−5.31, p < 0.001) significantly increased the chance of obstructive CAD, while controlling for chronic kidney disease and anemia. The ROC curve analysis indicated that the CHA2DS2-VA scale may be a useful screening tool for the diagnosis of obstructive CAD (area under the ROC curve: 0.79, 95% CI: 0.75−0.84, p < 0.001), with ≥4 being the optimal cutoff value. Conclusions: Our study has proven that several older AF patients who are advised to undergo elective CAG have nonobstructive CAD. The CHA2DS2-VA score can contribute to improving the selection of patients for invasive diagnosis of CAD, but further investigation is required.
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Lim JH, Chung BH, Lee SH, Jung HY, Choi JY, Cho JH, Park SH, Kim YL, Kim CD. Omics-based biomarkers for diagnosis and prediction of kidney allograft rejection. Korean J Intern Med 2022; 37:520-533. [PMID: 35417937 PMCID: PMC9082440 DOI: 10.3904/kjim.2021.518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 01/11/2022] [Indexed: 11/27/2022] Open
Abstract
Kidney transplantation is the preferred treatment for patients with end-stage kidney disease, because it prolongs survival and improves quality of life. Allograft biopsy is the gold standard for diagnosing allograft rejection. However, it is invasive and reactive, and continuous monitoring is unrealistic. Various biomarkers for diagnosing allograft rejection have been developed over the last two decades based on omics technologies to overcome these limitations. Omics technologies are based on a holistic view of the molecules that constitute an individual. They include genomics, transcriptomics, proteomics, and metabolomics. The omics approach has dramatically accelerated biomarker discovery and enhanced our understanding of multifactorial biological processes in the field of transplantation. However, clinical application of omics-based biomarkers is limited by several issues. First, no large-scale prospective randomized controlled trial has been conducted to compare omics-based biomarkers with traditional biomarkers for rejection. Second, given the variety and complexity of injuries that a kidney allograft may experience, it is likely that no single omics approach will suffice to predict rejection or outcome. Therefore, integrated methods using multiomics technologies are needed. Herein, we introduce omics technologies and review the latest literature on omics biomarkers predictive of allograft rejection in kidney transplant recipients.
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Affiliation(s)
- Jeong-Hoon Lim
- Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu,
Korea
| | - Byung Ha Chung
- Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul,
Korea
| | - Sang-Ho Lee
- Department of Internal Medicine, College of Medicine, Kyung Hee University, Seoul,
Korea
| | - Hee-Yeon Jung
- Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu,
Korea
| | - Ji-Young Choi
- Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu,
Korea
| | - Jang-Hee Cho
- Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu,
Korea
| | - Sun-Hee Park
- Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu,
Korea
| | - Yong-Lim Kim
- Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu,
Korea
| | - Chan-Duck Kim
- Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu,
Korea
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Exosomal hsa_circ_0008925 from Urine Is Related to Chronic Renal Fibrosis. DISEASE MARKERS 2022; 2022:1899282. [PMID: 35222740 PMCID: PMC8881153 DOI: 10.1155/2022/1899282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/28/2022] [Accepted: 02/04/2022] [Indexed: 12/02/2022]
Abstract
At present, there is no noninvasive biomarker of renal fibrosis. The potential diagnostic value of urinary exosome-derived circRNAs from glomerular disease patients for renal fibrosis is still uncertain. Here, we first detected the expression of hsa_circ_0008925 in TGF-β1-cultured HK-2 cell-derived exosomes. Secondly, we collected urine samples from 95 biopsy-proven glomerular disease patients and 34 healthy controls. The expression of hsa_circ_0008925 was analyzed, and the correlation with renal function and pathological changes was calculated. The receiver operating characteristic (ROC) curve for the diagnosis of renal fibrosis was performed. The results showed that in exosomes derived from TGF-β1-cultured HK-2 cells, the expression of hsa_circ_0008925 was increased compared with normal cultured. Further, the expression level of hsa_circ_0008925 was increased in urinary exosomes from renal fibrosis patients and correlated with serum creatinine, blood urea nitrogen (BUN), estimated glomerular filtration rate, and cystatin C. The level of hsa_circ_0008925 was furthermore correlated with the score of tubulointerstitial fibrosis (TIF) and the score of glomerular sclerosis. The ROC curve showed that hsa_circ_0008925 can diagnose renal fibrosis at a cut-off value of 0.093 with a sensitivity of 52.2% and specificity of 96.4%. In summary, we indicated that urinary exosomal hsa_circ_0008925 could be acted as a noninvasive biomarker for renal fibrosis in glomerular diseases patients.
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Canossi A, Iesari S, Lai Q, Ciavatta S, Del Beato T, Panarese A, Binda B, Tessitore A, Papola F, Pisani F. Longitudinal monitoring of mRNA levels of regulatory T cell biomarkers by using non-invasive strategies to predict outcome in renal transplantation. BMC Nephrol 2022; 23:51. [PMID: 35109826 PMCID: PMC8809010 DOI: 10.1186/s12882-021-02608-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 09/15/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Acute T-cell mediated rejection (aTCMR) is still an issue in kidney transplantation, for it is associated with chronic rejection, graft loss, and overall worse outcomes. For these reasons, a standard non-invasive molecular tool to detect is desirable to offer a simpler monitoring of kidney transplant recipients (KTRs). The purpose of our study was to examine, in peripheral blood before and after transplantation, the expression patterns of regulatory T cell (Treg)-related genes: the forkhead box P3 (FOXP3) and the two CTLA-4 isoforms (full-length and soluble) to predict acute rejection onset, de novo donor-specific antibodies (DSA) development and renal dysfunction 1 year after transplantation. METHODS We profiled by using a relative quantification analysis (qRT-PCR) circulating mRNA levels of these biomarkers in peripheral blood of 89 KTRs within the first post-transplant year (at baseline and 15, 60 and 365 days, and when possible at the acute rejection) and compared also the results with 24 healthy controls. RESULTS The three mRNA levels drastically reduced 15 days after transplantation and gradually recovered at 1 year in comparison with baseline, with very low levels at the time of aTCMR for FOXP3 (RQ = 0.445, IQR = 0.086-1.264, p = 0.040), maybe for the pro-apoptotic role of FOXP3 during inflammation. A multivariate Cox regression analysis evidenced a significant relation between aTCMR onset and thymoglobuline induction (HR = 6.749 p = 0.041), everolimus use (HR = 7.017, p = 0.007) and an increased risk from the solCTLA-4 expression at 15 days, mainly considering recipients treated with Mycophelolic acid (HR = 13.94 p = 0.038, 95%CI:1.157-167.87). Besides, solCTLA-4 also predisposed to graft dysfunction (eGFR< 60 mL/min/1.73m2) at 1 year (AOR = 3.683, 95%CI = 1.145-11.845, p = 0.029). On the other hand, pre-transplant solCTLA-4 levels showed a protective association with de novo DSAs development (HR = 0.189, 95%CI = 0.078-0.459, p < 0.001). CONCLUSIONS mRNA levels of Treg-associated genes, mainly for solCTLA-4, in peripheral blood could put forward as candidate non-invasive biomarkers of cellular and humoral alloreactivity in clinical transplantation and might help shape immunosuppression, tailor monitoring and achieve better long-term outcomes of kidney transplantation in the wake of "precision medicine".
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Affiliation(s)
- Angelica Canossi
- CNR Institute for Translational Pharmacology, Via Giosuè Carducci 32C, 67100, L'Aquila, Italy.
| | - Samuele Iesari
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio, Coppito 2, 67100, L'Aquila, Italy.,Pôle de Chirurgie Expérimentale et Transplantation, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Avenue Hippocrate 55, 1200, Brussels, Belgium
| | - Quirino Lai
- Hepatobiliary and Organ Transplantation Unit, Sapienza University of Rome, Viale del Policlinico 155, 00161, Rome, Italy
| | - Simone Ciavatta
- Regional Center for Organ Transplantation (CRT), S. Salvatore Hospital, Via Lorenzo Natali 1, 67100, L'Aquila, Italy
| | - Tiziana Del Beato
- CNR Institute for Translational Pharmacology, Via Giosuè Carducci 32C, 67100, L'Aquila, Italy
| | - Alessandra Panarese
- Regional Center for Organ Transplantation (CRT), S. Salvatore Hospital, Via Lorenzo Natali 1, 67100, L'Aquila, Italy
| | - Barbara Binda
- Regional Center for Organ Transplantation (CRT), S. Salvatore Hospital, Via Lorenzo Natali 1, 67100, L'Aquila, Italy
| | - Alessandra Tessitore
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio, Coppito 2, 67100, L'Aquila, Italy
| | - Franco Papola
- Regional Centre of Immunohematology and Tissue Typing, San Salvatore Hospital, Via Lorenzo Natali 1, 67100, L'Aquila, Italy
| | - Francesco Pisani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio, Coppito 2, 67100, L'Aquila, Italy.,Regional Center for Organ Transplantation (CRT), S. Salvatore Hospital, Via Lorenzo Natali 1, 67100, L'Aquila, Italy
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48
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Westphal SG, Mannon RB. Emerging biomarkers in kidney transplantation and challenge of clinical implementation. Curr Opin Organ Transplant 2022; 27:15-21. [PMID: 34939960 DOI: 10.1097/mot.0000000000000941] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
PURPOSE OF REVIEW Despite improvement in short-term outcomes after kidney transplantation, long-term outcomes remain suboptimal. Conventional biomarkers are limited in their ability to reliably identify early immunologic and nonimmunologic injury. Novel biomarkers are needed for noninvasive diagnosis of subclinical injury, prediction of response to treatment, and personalization of the care of kidney transplant recipients. RECENT FINDINGS Recent biotechnological advances have led to the discovery of promising molecular biomarker candidates. However, translating potential biomarkers from bench to clinic is challenging, and many potential biomarkers are abandoned prior to clinical implementation. Despite these challenges, several promising urine, blood, and tissue novel molecular biomarkers have emerged and are approaching incorporation into clinical practice. SUMMARY This article highlights the challenges in adopting biomarker-driven posttransplant management and reviews several promising emerging novel biomarkers that are approaching clinical implementation.
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Affiliation(s)
- Scott G Westphal
- Division of Nephrology, Department of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA
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49
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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: 1] [Impact Index Per Article: 0.5] [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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50
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Xiang W, Han S, Wang C, Chen H, Shen L, Zhu T, Wang K, Wei W, Qin J, Shushakova N, Rong S, Haller H, Jiang H, Chen J. Pre-transplant Transcriptional Signature in Peripheral Blood Mononuclear Cells of Acute Renal Allograft Rejection. Front Med (Lausanne) 2022; 8:799051. [PMID: 35071278 PMCID: PMC8777044 DOI: 10.3389/fmed.2021.799051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022] Open
Abstract
Acute rejection (AR) is closely associated with renal allograft dysfunction. Here, we utilised RNA sequencing (RNA-Seq) and bioinformatic methods to characterise the peripheral blood mononuclear cells (PBMCs) of patients with acute renal allograft rejection. Pretransplant blood samples were collected from 32 kidney allograft donors and 42 corresponding recipients with biopsies classified as T cell-mediated rejection (TCMR, n = 18), antibody-mediated rejection (ABMR, n = 5), and normal/non-specific changes (non-AR, n = 19). The patients with TCMR and ABMR were assigned to the AR group, and the patients with normal/non-specific changes (n = 19) were assigned to the non-AR group. We analysed RNA-Seq data for identifying differentially expressed genes (DEGs), and then gene ontology (GO) analysis, Reactome, and ingenuity pathway analysis (IPA), protein—protein interaction (PPI) network, and cell-type enrichment analysis were utilised for bioinformatics analysis. We identified DEGs in the PBMCs of the non-AR group when compared with the AR, ABMR, and TCMR groups. Pathway and GO analysis showed significant inflammatory responses, complement activation, interleukin-10 (IL-10) signalling pathways, classical antibody-mediated complement activation pathways, etc., which were significantly enriched in the DEGs. PPI analysis showed that IL-10, VEGFA, CXCL8, MMP9, and several histone-related genes were the hub genes with the highest degree scores. Moreover, IPA analysis showed that several proinflammatory pathways were upregulated, whereas antiinflammatory pathways were downregulated. The combination of NFSF14+TANK+ANKRD 33 B +HSPA1B was able to discriminate between AR and non-AR with an AUC of 92.3% (95% CI 82.8–100). Characterisation of PBMCs by RNA-Seq and bioinformatics analysis demonstrated gene signatures and biological pathways associated with AR. Our study may provide the foundation for the discovery of biomarkers and an in-depth understanding of acute renal allograft rejection.
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Affiliation(s)
- Wenyu Xiang
- Kidney Disease Center, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.,Key Laboratory of Nephropathy, Hangzhou, China.,Institute of Nephropathy, Zhejiang University, Hangzhou, China.,Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
| | - Shuai Han
- Kidney Disease Center, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.,Key Laboratory of Nephropathy, Hangzhou, China.,Institute of Nephropathy, Zhejiang University, Hangzhou, China.,Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
| | - Cuili Wang
- Kidney Disease Center, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.,Key Laboratory of Nephropathy, Hangzhou, China.,Institute of Nephropathy, Zhejiang University, Hangzhou, China.,Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
| | - Hongjun Chen
- Kidney Disease Center, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.,Key Laboratory of Nephropathy, Hangzhou, China.,Institute of Nephropathy, Zhejiang University, Hangzhou, China.,Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
| | - Lingling Shen
- Kidney Disease Center, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.,Key Laboratory of Nephropathy, Hangzhou, China.,Institute of Nephropathy, Zhejiang University, Hangzhou, China.,Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
| | - Tingting Zhu
- Kidney Disease Center, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.,Key Laboratory of Nephropathy, Hangzhou, China.,Institute of Nephropathy, Zhejiang University, Hangzhou, China.,Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
| | - Kai Wang
- School of Pharmaceutical Science, Sun Yat-sen University, Shenzhen, China
| | - Wenjie Wei
- Department of Nephropathy, School of Medicine, Shanghai Ruijin Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Jing Qin
- School of Pharmaceutical Science, Sun Yat-sen University, Shenzhen, China
| | - Nelli Shushakova
- Department of Nephrology, Hannover Medical School, Hannover, Germany
| | - Song Rong
- Department of Nephrology, Hannover Medical School, Hannover, Germany
| | - Hermann Haller
- Department of Nephrology, Hannover Medical School, Hannover, Germany
| | - Hong Jiang
- Kidney Disease Center, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.,Key Laboratory of Nephropathy, Hangzhou, China.,Institute of Nephropathy, Zhejiang University, Hangzhou, China.,Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
| | - Jianghua Chen
- Kidney Disease Center, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.,Key Laboratory of Nephropathy, Hangzhou, China.,Institute of Nephropathy, Zhejiang University, Hangzhou, China.,Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, China
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