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Extremely High Cell-free DNA Levels Observed in Renal Allograft Patient With SARS-CoV-2 Infection. Transplant Direct 2021; 7:e691. [PMID: 33912658 PMCID: PMC8078311 DOI: 10.1097/txd.0000000000001145] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/10/2021] [Accepted: 02/13/2021] [Indexed: 11/27/2022] Open
Abstract
Beyond its widely recognized morbidity and mortality, coronavirus disease 2019 poses an additional health risk to renal allograft recipients. Detection and measurement of donor-derived cell-free DNA (dd-cfDNA), expressed as a fraction of the total cell-free DNA (cfDNA), has emerged as a noninvasive biomarker for allograft rejection. Here, we present a case report of a patient who was infected with severe acute respiratory syndrome coronavirus 2, 11 mo post-kidney transplant. The patient was serially monitored using an analytically and clinically validated massively multiplex PCR-based dd-cfDNA assay to assess allograft injury and risk for rejection. Over the course of infection, low dd-cfDNA fractions were observed (below the 1% cutoff) and were accompanied by unusually highly elevated levels of total cfDNA, which gradually declined as the infection resolved. The case study highlights the variability in total cfDNA levels during and after viral infection, and the need to consider both total and dd-cfDNA levels when clinically interpreting the results for allograft rejection. Furthermore, the study highlights the importance of serial testing, wherein an interplay between total cfDNA and dd-cfDNA can inform the optimization of a patient's immunosuppressive treatment regimen in response to infection.
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202
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Kim MY, Brennan DC. Therapies for Chronic Allograft Rejection. Front Pharmacol 2021; 12:651222. [PMID: 33935762 PMCID: PMC8082459 DOI: 10.3389/fphar.2021.651222] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 03/10/2021] [Indexed: 12/14/2022] Open
Abstract
Remarkable advances have been made in the pathophysiology, diagnosis, and treatment of antibody-mediated rejection (ABMR) over the past decades, leading to improved graft outcomes. However, long-term failure is still high and effective treatment for chronic ABMR, an important cause of graft failure, has not yet been identified. Chronic ABMR has a relatively different phenotype from active ABMR and is a slowly progressive disease in which graft injury is mainly caused by de novo donor specific antibodies (DSA). Since most trials of current immunosuppressive therapies for rejection have focused on active ABMR, treatment strategies based on those data might be less effective in chronic ABMR. A better understanding of chronic ABMR may serve as a bridge in establishing treatment strategies to improve graft outcomes. In this in-depth review, we focus on the pathophysiology and characteristics of chronic ABMR along with the newly revised Banff criteria in 2017. In addition, in terms of chronic ABMR, we identify the reasons for the resistance of current immunosuppressive therapies and look at ongoing research that could play a role in setting better treatment strategies in the future. Finally, we review non-invasive biomarkers as tools to monitor for rejection.
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Affiliation(s)
| | - Daniel C. Brennan
- Department of Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States
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203
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Belkadi A, Thareja G, Dadhania D, Lee JR, Muthukumar T, Snopkowski C, Li C, Halama A, Abdelkader S, Abdulla S, Mahmoud Y, Malek J, Suthanthiran M, Suhre K. Deep sequencing of DNA from urine of kidney allograft recipients to estimate donor/recipient-specific DNA fractions. PLoS One 2021; 16:e0249930. [PMID: 33857204 PMCID: PMC8049329 DOI: 10.1371/journal.pone.0249930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Accepted: 03/27/2021] [Indexed: 11/19/2022] Open
Abstract
Kidney transplantation is the treatment of choice for patients with end-stage kidney failure, but transplanted allograft could be affected by viral and bacterial infections and by immune rejection. The standard test for the diagnosis of acute pathologies in kidney transplants is kidney biopsy. However, noninvasive tests would be desirable. Various methods using different techniques have been developed by the transplantation community. But these methods require improvements. We present here a cost-effective method for kidney rejection diagnosis that estimates donor/recipient-specific DNA fraction in recipient urine by sequencing urinary cell DNA. We hypothesized that in the no-pathology stage, the largest tissue types present in recipient urine are donor kidney cells, and in case of rejection, a larger number of recipient immune cells would be observed. Extensive in-silico simulation was used to tune the sequencing parameters: number of variants and depth of coverage. Sequencing of DNA mixture from 2 healthy individuals showed the method is highly predictive (maximum error < 0.04). We then demonstrated the insignificant impact of familial relationship and ethnicity using an in-house and public database. Lastly, we performed deep DNA sequencing of urinary cell pellets from 32 biopsy-matched samples representing two pathology groups: acute rejection (AR, 11 samples) and acute tubular injury (ATI, 12 samples) and 9 samples with no pathology. We found a significant association between the donor/recipient-specific DNA fraction in the two pathology groups compared to no pathology (P = 0.0064 for AR and P = 0.026 for ATI). We conclude that deep DNA sequencing of urinary cells from kidney allograft recipients offers a noninvasive means of diagnosing acute pathologies in the human kidney allograft.
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Affiliation(s)
- Aziz Belkadi
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Gaurav Thareja
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Darshana Dadhania
- Department of Transplantation Medicine, New-York Presbyterian Hospital-Weill Cornell Medicine, New York, United States of America
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America
| | - John R. Lee
- Department of Transplantation Medicine, New-York Presbyterian Hospital-Weill Cornell Medicine, New York, United States of America
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America
| | - Thangamani Muthukumar
- Department of Transplantation Medicine, New-York Presbyterian Hospital-Weill Cornell Medicine, New York, United States of America
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America
| | - Catherine Snopkowski
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America
| | - Carol Li
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America
| | - Anna Halama
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Sara Abdelkader
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Silvana Abdulla
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Yasmin Mahmoud
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Joel Malek
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Manikkam Suthanthiran
- Department of Transplantation Medicine, New-York Presbyterian Hospital-Weill Cornell Medicine, New York, United States of America
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
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204
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El Fekih R, Hurley J, Tadigotla V, Alghamdi A, Srivastava A, Coticchia C, Choi J, Allos H, Yatim K, Alhaddad J, Eskandari S, Chu P, Mihali AB, Lape IT, Lima Filho MP, Aoyama BT, Chandraker A, Safa K, Markmann JF, Riella LV, Formica RN, Skog J, Azzi JR. Discovery and Validation of a Urinary Exosome mRNA Signature for the Diagnosis of Human Kidney Transplant Rejection. J Am Soc Nephrol 2021; 32:994-1004. [PMID: 33658284 PMCID: PMC8017553 DOI: 10.1681/asn.2020060850] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 12/26/2020] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Developing a noninvasive clinical test to accurately diagnose kidney allograft rejection is critical to improve allograft outcomes. Urinary exosomes, tiny vesicles released into the urine that carry parent cells' proteins and nucleic acids, reflect the biologic function of the parent cells within the kidney, including immune cells. Their stability in urine makes them a potentially powerful tool for liquid biopsy and a noninvasive diagnostic biomarker for kidney-transplant rejection. METHODS Using 192 of 220 urine samples with matched biopsy samples from 175 patients who underwent a clinically indicated kidney-transplant biopsy, we isolated urinary exosomal mRNAs and developed rejection signatures on the basis of differential gene expression. We used crossvalidation to assess the performance of the signatures on multiple data subsets. RESULTS An exosomal mRNA signature discriminated between biopsy samples from patients with all-cause rejection and those with no rejection, yielding an area under the curve (AUC) of 0.93 (95% CI, 0.87 to 0.98), which is significantly better than the current standard of care (increase in eGFR AUC of 0.57; 95% CI, 0.49 to 0.65). The exosome-based signature's negative predictive value was 93.3% and its positive predictive value was 86.2%. Using the same approach, we identified an additional gene signature that discriminated patients with T cell-mediated rejection from those with antibody-mediated rejection (with an AUC of 0.87; 95% CI, 0.76 to 0.97). This signature's negative predictive value was 90.6% and its positive predictive value was 77.8%. CONCLUSIONS Our findings show that mRNA signatures derived from urinary exosomes represent a powerful and noninvasive tool to screen for kidney allograft rejection. This finding has the potential to assist clinicians in therapeutic decision making.
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Affiliation(s)
- Rania El Fekih
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - James Hurley
- Exosome Diagnostics, a Bio-Techne brand, Waltham, Massachusetts
| | | | - Areej Alghamdi
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Anand Srivastava
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - John Choi
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Hazim Allos
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Karim Yatim
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Juliano Alhaddad
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Siawosh Eskandari
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Philip Chu
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Albana B. Mihali
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Isadora T. Lape
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Mauricio P. Lima Filho
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Bruno T. Aoyama
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Anil Chandraker
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kassem Safa
- Transplant Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - James F. Markmann
- Transplant Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Leonardo V. Riella
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Johan Skog
- Exosome Diagnostics, a Bio-Techne brand, Waltham, Massachusetts
| | - Jamil R. Azzi
- Renal Division, Transplantation Research Center, Brigham and Women’s Hospital and Children’s Hospital, Harvard Medical School, Boston, Massachusetts
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205
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Indelli PF, Ghirardelli S, Violante B, Amanatullah DF. Next generation sequencing for pathogen detection in periprosthetic joint infections. EFORT Open Rev 2021; 6:236-244. [PMID: 34040801 PMCID: PMC8142595 DOI: 10.1302/2058-5241.6.200099] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Periprosthetic joint infections (PJI) represent one of the most catastrophic complications following total joint arthroplasty (TJA). The lack of standardized diagnostic tests and protocols for PJI is a challenge for arthroplasty surgeons.Next generation sequencing (NGS) is an innovative diagnostic tool that can sequence microbial deoxyribonucleic acids (DNA) from a synovial fluid sample: all DNA present in a specimen is sequenced in parallel, generating millions of reads. It has been shown to be extremely useful in a culture-negative PJI setting.Metagenomic NGS (mNGS) allows for universal pathogen detection, regardless of microbe type, in a 24-48-hour timeframe: in its nanopore-base variation, mNGS also allows for antimicrobial resistance characterization.Cell-free DNA (cfDNA) NGS, characterized by lack of the cell lysis step, has a fast run-time (hours) and, together with a high sensitivity and specificity in microorganism isolation, may provide information on the presence of antimicrobial resistance genes.Metagenomics and cfDNA testing have reduced the time needed to detect infecting bacteria and represent very promising technologies for fast PJI diagnosis.NGS technologies are revolutionary methods that could disrupt the diagnostic paradigm of PJI, but a comprehensive collection of clinical evidence is still needed before they become widely used diagnostic tools. Cite this article: EFORT Open Rev 2021;6:236-244. DOI: 10.1302/2058-5241.6.200099.
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Affiliation(s)
- Pier F Indelli
- Department of Orthopaedic Surgery, Stanford University, Stanford, California, USA
| | | | | | - Derek F Amanatullah
- Department of Orthopaedic Surgery, Stanford University, Stanford, California, USA
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206
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Van Loon E, Naesens M. Blood transcriptomics as non-invasive marker for kidney transplant rejection. Nephrol Ther 2021; 17S:S78-S82. [PMID: 33910703 DOI: 10.1016/j.nephro.2020.02.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 02/13/2020] [Indexed: 12/23/2022]
Abstract
In the last decade, a plenitude of potential molecular peripheral blood biomarkers has been developed. In assessing the utility of these markers for clinical practice, it is important to evaluate their diagnostic performance in different clinical scenarios. The higher probability of diagnosing rejection in indication compared to protocol biopsies illustrates that kidney functional parameters (estimated glomerular filtration rate evolution, proteinuria) are inherently already non-invasive biomarkers for rejection, with evident clinical utility. However, by definition, graft functional assessment will miss subclinical rejection. In this paper, we review how some of the most promising peripheral blood molecular biomarkers, like blood transcriptomic markers and donor-derived cell-free DNA measurement, perform in relation to graft functional evaluation. Since the definition of graft dysfunction is relatively arbitrary, we propose using a standardized clinical model for non-invasive diagnosis of allograft rejection, as benchmark and for integration with novel molecular biomarkers.
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Affiliation(s)
- Elisabet Van Loon
- Department of Microbiology, Immunology, Transplantation, KU Leuven, Leuven, Belgium; Department of Nephrology, Renal Transplantation, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Maarten Naesens
- Department of Microbiology, Immunology, Transplantation, KU Leuven, Leuven, Belgium; Department of Nephrology, Renal Transplantation, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium.
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207
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Rybicka-Kozlowska E, Andreoni K, Kozlowski T. Racial differences in renal transplantation: How do we bridge the gap? Surgery 2021; 170:333-335. [PMID: 33810852 DOI: 10.1016/j.surg.2021.02.030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 02/11/2021] [Accepted: 02/13/2021] [Indexed: 12/21/2022]
Affiliation(s)
| | - Kenneth Andreoni
- Department of Surgery, University of Florida College of Medicine, Gainesville, FL
| | - Tomasz Kozlowski
- Department of Surgery, The Oklahoma University College of Medicine, Oklahoma City, OK.
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208
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Deng MC. The evolution of patient-specific precision biomarkers to guide personalized heart-transplant care. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2021; 6:51-63. [PMID: 33768160 DOI: 10.1080/23808993.2021.1840273] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Introduction In parallel to the clinical maturation of heart transplantation over the last 50 years, rejection testing has been revolutionized within the systems biology paradigm triggered by the Human Genome Project. Areas Covered We have co-developed the first FDA-cleared diagnostic and prognostic leukocyte gene expression profiling biomarker test in transplantation medicine that gained international evidence-based medicine guideline acceptance to rule out moderate/severe acute cellular cardiac allograft rejection without invasive endomyocardial biopsies. This work prompted molecular re-classification of intragraft biology, culminating in the identification of a pattern of intragraft myocyte injury, in addition to acute cellular rejection and antibody-mediated rejection. This insight stimulated research into non-invasive detection of myocardial allograft injury. The addition of a donor-organ specific myocardial injury marker based on donor-derived cell-free DNA further strengthens the non-invasive monitoring concept, combining the clinical use of two complementary non-invasive blood-based measures, host immune activity-related risk of acute rejection as well as cardiac allograft injury. Expert Opinion This novel complementary non-invasive heart transplant monitoring strategy based on leukocyte gene expression profiling and donor-derived cell-free DNA that incorporates longitudinal variability measures provides an exciting novel algorithm of heart transplant allograft monitoring. This algorithm's clinical utility will need to be tested in an appropriately designed randomized clinical trial which is in preparation.
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Affiliation(s)
- Mario C Deng
- Advanced Heart Failure/Mechanical Support/Heart Transplant, David Geffen School of Medicine at UCLA, Ronald Reagan UCLA Medical Center, 100 Medical Plaza Drive, Suite 630, Los Angeles, CA 90095
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209
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Agbor-Enoh S, Shah P, Tunc I, Hsu S, Russell S, Feller E, Shah K, Rodrigo ME, Najjar SS, Kong H, Pirooznia M, Fideli U, Bikineyeva A, Marishta A, Bhatti K, Yang Y, Mutebi C, Yu K, Jang MK, Marboe C, Berry GJ, Valantine HA. Cell-Free DNA to Detect Heart Allograft Acute Rejection. Circulation 2021; 143:1184-1197. [PMID: 33435695 PMCID: PMC8221834 DOI: 10.1161/circulationaha.120.049098] [Citation(s) in RCA: 133] [Impact Index Per Article: 44.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 11/24/2020] [Indexed: 01/13/2023]
Abstract
BACKGROUND After heart transplantation, endomyocardial biopsy (EMBx) is used to monitor for acute rejection (AR). Unfortunately, EMBx is invasive, and its conventional histological interpretation has limitations. This is a validation study to assess the performance of a sensitive blood biomarker-percent donor-derived cell-free DNA (%ddcfDNA)-for detection of AR in cardiac transplant recipients. METHODS This multicenter, prospective cohort study recruited heart transplant subjects and collected plasma samples contemporaneously with EMBx for %ddcfDNA measurement by shotgun sequencing. Histopathology data were collected to define AR, its 2 phenotypes (acute cellular rejection [ACR] and antibody-mediated rejection [AMR]), and controls without rejection. The primary analysis was to compare %ddcfDNA levels (median and interquartile range [IQR]) for AR, AMR, and ACR with controls and to determine %ddcfDNA test characteristics using receiver-operator characteristics analysis. RESULTS The study included 171 subjects with median posttransplant follow-up of 17.7 months (IQR, 12.1-23.6), with 1392 EMBx, and 1834 %ddcfDNA measures available for analysis. Median %ddcfDNA levels decayed after surgery to 0.13% (IQR, 0.03%-0.21%) by 28 days. Also, %ddcfDNA increased again with AR compared with control values (0.38% [IQR, 0.31-0.83%], versus 0.03% [IQR, 0.01-0.14%]; P<0.001). The rise was detected 0.5 and 3.2 months before histopathologic diagnosis of ACR and AMR. The area under the receiver operator characteristic curve for AR was 0.92. A 0.25%ddcfDNA threshold had a negative predictive value for AR of 99% and would have safely eliminated 81% of EMBx. In addition, %ddcfDNA showed distinctive characteristics comparing AMR with ACR, including 5-fold higher levels (AMR ≥2, 1.68% [IQR, 0.49-2.79%] versus ACR grade ≥2R, 0.34% [IQR, 0.28-0.72%]), higher area under the receiver operator characteristic curve (0.95 versus 0.85), higher guanosine-cytosine content, and higher percentage of short ddcfDNA fragments. CONCLUSIONS We found that %ddcfDNA detected AR with a high area under the receiver operator characteristic curve and negative predictive value. Monitoring with ddcfDNA demonstrated excellent performance characteristics for both ACR and AMR and led to earlier detection than the EMBx-based monitoring. This study supports the use of %ddcfDNA to monitor for AR in patients with heart transplant and paves the way for a clinical utility study. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02423070.
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Affiliation(s)
- Sean Agbor-Enoh
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Department of Medicine, The Johns Hopkins School of Medicine, 1830 East Monument Street, Baltimore, MD
- Division of Intramural Research, National Heart, Lung and Blood Institute, 10 Center Drive, 7S261, Bethesda Maryland, 20982
| | - Palak Shah
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Department of Heart Failure and Transplantation, Inova Heart and Vascular Institute, Falls Church, VA
| | - Ilker Tunc
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Division of Intramural Research, National Heart, Lung and Blood Institute, 10 Center Drive, 7S261, Bethesda Maryland, 20982
| | - Steven Hsu
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Department of Medicine, The Johns Hopkins School of Medicine, 1830 East Monument Street, Baltimore, MD
| | - Stuart Russell
- Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Erika Feller
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- University of Maryland Medical Center, Baltimore, MD
| | - Keyur Shah
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Virginia Commonwealth University, Richmond, VA
| | - Maria E. Rodrigo
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- MedStar Heart and Vascular Institute, MedStar Washington Hospital Center, Washington DC
| | - Samer S. Najjar
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- MedStar Heart and Vascular Institute, MedStar Washington Hospital Center, Washington DC
| | - Hyesik Kong
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Division of Intramural Research, National Heart, Lung and Blood Institute, 10 Center Drive, 7S261, Bethesda Maryland, 20982
| | - Mehdi Pirooznia
- Division of Intramural Research, National Heart, Lung and Blood Institute, 10 Center Drive, 7S261, Bethesda Maryland, 20982
| | - Ulgen Fideli
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Division of Intramural Research, National Heart, Lung and Blood Institute, 10 Center Drive, 7S261, Bethesda Maryland, 20982
| | - Alfiya Bikineyeva
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Division of Intramural Research, National Heart, Lung and Blood Institute, 10 Center Drive, 7S261, Bethesda Maryland, 20982
| | - Argit Marishta
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Division of Intramural Research, National Heart, Lung and Blood Institute, 10 Center Drive, 7S261, Bethesda Maryland, 20982
| | - Kenneth Bhatti
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Division of Intramural Research, National Heart, Lung and Blood Institute, 10 Center Drive, 7S261, Bethesda Maryland, 20982
| | - Yanqin Yang
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Division of Intramural Research, National Heart, Lung and Blood Institute, 10 Center Drive, 7S261, Bethesda Maryland, 20982
| | - Cedric Mutebi
- Division of Intramural Research, National Heart, Lung and Blood Institute, 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Wayne State University School of Medicine, Detroit MI
| | - Kai Yu
- National Cancer Institute, Rockville, MD
| | - Moon Kyoo Jang
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Division of Intramural Research, National Heart, Lung and Blood Institute, 10 Center Drive, 7S261, Bethesda Maryland, 20982
| | - Charles Marboe
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Department of Pathology, New York Presbyterian University Hospital of Cornell and Columbia, New York, New York, USA
| | - Gerald J. Berry
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Stanford University School of Medicine, Palo Alto, CA
| | - Hannah A. Valantine
- Genomic Research Alliance for Transplantation (GRAfT), 10 Center Drive, 7S261, Bethesda Maryland, 20982
- Division of Intramural Research, National Heart, Lung and Blood Institute, 10 Center Drive, 7S261, Bethesda Maryland, 20982
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Dale BL, Bose S, Kuo S, Burns A, Daou P, Short J, Miles J. Transition of Renal Patients Using AlloSure Into Community Kidney Care (TRACK): Protocol for Long-Term Allograft Surveillance in Renal Transplant Recipients. JMIR Res Protoc 2021; 10:e25941. [PMID: 33720033 PMCID: PMC8088876 DOI: 10.2196/25941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 12/23/2020] [Accepted: 01/21/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Patients with end-stage kidney disease require complex and expensive medical management. Kidney transplantation remains the treatment of choice for end-stage kidney disease and is considered superior to all other modalities of renal replacement therapy or dialysis. However, access to kidney transplant is limited by critical supply and demand, making it extremely important to ensure longevity of transplanted kidneys. This is prevented through lifelong immunosuppression, with caution not to overly suppress the immune system, resulting in toxicity and harm. Transition of care to community nephrologists after initial kidney transplantation and monitoring at a transplant center is an important process to ensure delivery of effective and patient-centric care closer to home. Once transplanted, laborious surveillance of the immune system and monitoring for potential rejection and injury are undertaken through an armamentarium of screening modalities. Posttransplant surveillance for kidney function and injury remains key to follow-up care. While kidney function, quantified by estimated glomerular filtration rate and serum creatinine, and kidney injury, measured by proteinuria and hematuria, are standard biomarkers used to monitor injury and rejection posttransplant, they have recently been demonstrated to be inferior in performance to that of AlloSure (CareDx Inc, Brisbane, CA) circulating donor-derived, cell-free DNA (dd-cfDNA). OBJECTIVE The outcomes and methods of monitoring renal transplant recipients posttransplant have remained stagnant over the past 15 years. The aim of this study is to consider intensive surveillance using AlloSure dd-cfDNA in an actively managed protocol, assessing whether it increases long-term allograft survival in kidney transplant recipients compared with current standard clinical care in community nephrology. METHODS The study protocol will acquire data from a phase IV observational trial to assess a cohort of renal transplant patients managed using AlloSure dd-cfDNA and patient care managers versus 1000 propensity-matched historic controls using United Network for Organ Sharing U.S. Scientific Registry of Transplant Recipients data. Data will be managed in a centralized electronic data server. The primary outcome will be superior allograft survival, as a composite of return to dialysis, retransplant, death due to allograft failure, and death with a functional graft (infection, malignancy, and cardiovascular death). The secondary endpoints will assess improved kidney function through decline in estimated glomerular filtration rate and immune activity through development of donor-specific antibodies. RESULTS The total sample is anticipated to be 3500 (2500 patients managed with AlloSure dd-cfDNA and 1000 propensity-matched controls). Active enrollment began in November 2020. CONCLUSIONS Based on a significant literature base, we believe implementing the surveillance of dd-cfDNA in the kidney transplant population will have a positive impact on graft survival. Through early identification of rejection and facilitating timely intervention, prolongation of allograft survival versus those not managed by dd-cfDNA surveillance protocol should be superior. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/25941.
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Affiliation(s)
| | - Subhasish Bose
- Lynchburg Nephrology Physicians, Charlottesville, VA, United States.,Division of Nephrology, Department of Medicine, University of Virginia Medical Center, Charlottesville, VA, United States
| | - Sheng Kuo
- Nephrology Associates PC, Queens, NY, United States
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211
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Causes of Renal Allograft Injury in Recipients With Normal Donor-derived Cell-free DNA. Transplant Direct 2021; 7:e679. [PMID: 33688578 PMCID: PMC7935401 DOI: 10.1097/txd.0000000000001135] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 01/06/2021] [Accepted: 01/13/2021] [Indexed: 12/18/2022] Open
Abstract
Background. Donor-derived cell-free DNA (dd-cfDNA) is a noninvasive biomarker for the early detection of organ transplant rejection and other causes of graft injury. For nonrejection renal injuries, there is little information about the performance characteristics of this biomarker. We highlight some of the possible causes of kidney injury that may arise in patients with normal dd-cfDNA levels. Methods. We performed a retrospective analysis of solitary renal transplant cases between January 2017 and November 2019. Those who had an abnormal laboratory or pathological finding within 1 mo of a normal dd-cfDNA test were selected. Subgroups were stratified for those who had normal or abnormal/rising serum creatinine, and differences between the groups were analyzed. Results. Of 414 individuals who received a kidney transplant, 24 (7.5%) had a total of 41 normal dd-cfDNA values and 51 abnormal laboratory tests or histologic findings. The most common graft-injuring event was BK virus viremia (24 of 51). Other abnormal findings included urinary traction infections (n = 4), CMV viremia (n = 4), and biopsies demonstrating antibody-mediated rejection (AMR) (n = 2), T cell–mediated rejection (n = 1), focal segmental glomerulosclerosis (n = 2), nondonor-specific antibody chronic AMR (n = 1), and interstitial fibrosis and tubular atrophy (n = 7). Subgroup analysis of those with normal dd-cfDNA and normal/stable versus abnormal/rising creatinine showed that BK virus viremia was the most common abnormal finding in both groups at 53% and 38% respectively. On biopsy, 1 case of acute T cell–mediated rejection (1B and 2B) was seen with normal/stable creatinine, whereas 1 of nonspecific C4d focally positive and 1 of nondonor-specific antibody AMR were seen with abnormal/rising creatinine. Conclusions. Low levels of serum dd-cfDNA do not preclude detection of active graft-injuring events and that subclinical injuries may be developing. Context is important in the interpretation of dd-cfDNA, so renal biopsy remains a part of the diagnostic pathway for allograft dysfunction and maintenance of allograft health.
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212
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Paul RS, Almokayad I, Collins A, Raj D, Jagadeesan M. Donor-derived Cell-free DNA: Advancing a Novel Assay to New Heights in Renal Transplantation. Transplant Direct 2021; 7:e664. [PMID: 33564715 PMCID: PMC7862009 DOI: 10.1097/txd.0000000000001098] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 10/09/2020] [Accepted: 10/13/2020] [Indexed: 02/07/2023] Open
Abstract
Despite advances in transplant immunosuppression, long-term renal allograft outcomes remain suboptimal because of the occurrence of rejection, recurrent disease, and interstitial fibrosis with tubular atrophy. This is largely due to limitations in our understanding of allogeneic processes coupled with inadequate surveillance strategies. The concept of donor-derived cell-free DNA as a signal of allograft stress has therefore rapidly been adopted as a noninvasive monitoring tool. Refining it for effective clinical use, however, remains an ongoing effort. Furthermore, its potential to unravel new insights in alloimmunity through novel molecular techniques is yet to be realized. This review herein summarizes current knowledge and active endeavors to optimize cell-free DNA-based diagnostic techniques for clinical use in kidney transplantation. In addition, the integration of DNA methylation and microRNA may unveil new epigenetic signatures of allograft health and is also explored in this report. Directing research initiatives toward these aspirations will not only improve diagnostic precision but may foster new paradigms in transplant immunobiology.
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Affiliation(s)
- Rohan S. Paul
- Division of Kidney Disease & Hypertension, George Washington University, Washington, DC
| | - Ismail Almokayad
- Division of Kidney Disease & Hypertension, George Washington University, Washington, DC
| | - Ashte Collins
- Division of Kidney Disease & Hypertension, George Washington University, Washington, DC
| | - Dominic Raj
- Division of Kidney Disease & Hypertension, George Washington University, Washington, DC
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213
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Puliyanda DP, Swinford R, Pizzo H, Garrison J, De Golovine AM, Jordan SC. Donor-derived cell-free DNA (dd-cfDNA) for detection of allograft rejection in pediatric kidney transplants. Pediatr Transplant 2021; 25:e13850. [PMID: 33217125 DOI: 10.1111/petr.13850] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/22/2020] [Accepted: 08/26/2020] [Indexed: 01/13/2023]
Abstract
In pediatric transplantation, acute rejection is a major contributor of graft failure. Current approaches include kidney biopsy in response to graft dysfunction and/or the emergence of donor-specific HLA antibodies (DSA). However, biopsy is associated with potential complications. Thus, there is a need for non-invasive diagnostics. Detection of donor-derived cell-free DNA (dd-cfDNA, AlloSure) > 1% is associated with rejection in adult kidney transplants. Here, we evaluate the utility of dd-cfDNA for identifying allograft rejection in pediatric patients. Between 10/2017 and 10/2019, 67 patients, who underwent initial testing with dd-cfDNA as part of routine monitoring or in response to clinical suspicion for rejection, were included. Biopsies were performed when dd-cfDNA > 1.0% or where clinical suspicion was high. Demographics, dd-cfDNA, antibody status, and biopsies were collected prospectively. Data were analyzed to determine predictive value of dd-cfDNA for identifying grafts at risk for rejection. 19 of 67 patients had dd-cfDNA testing as part of routine monitoring with a median dd-cfDNA score of 0.37 (IQR: 0.19-1.10). 48 of 67 patients who had clinical suspicion of rejection had median dd-cfDNA score of 0.47 (0.24-2.15). DSA-positive recipients had higher dd-cfDNA scores than those who were negative or had AT1R positivity alone (P = .003). There was no association between dd-cfDNA score and strength of DSA positivity. 7 of 48 recipients had a biopsy with a dd-cfDNA score <1%; two showed evidence of rejection. Neither DSA nor AT1R positivity was statistically associated with biopsy-proven rejection. However, dd-cfDNA >1% was diagnostic of rejection with sensitivity of 86% and specificity of 100% (AUC: 0.996, 0.98-1.00; P = .002). dd-cfDNA represents a non-invasive method for early detection of rejection in pediatric renal transplants. Our study shows dd-cfDNA to be highly predictive of histological rejection and superior to other indicators such as graft dysfunction or antibody positivity alone. Further studies are necessary to refine these initial observations.
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Affiliation(s)
- Dechu P Puliyanda
- Pediatric Nephrology Cedars Sinai Medical Center, Los Angeles, CA, USA
| | - Rita Swinford
- Pediatric Nephrology, UTHealth, University of Texas at Houston, Houston, TX, USA
| | - Helen Pizzo
- Pediatric Nephrology Cedars Sinai Medical Center, Los Angeles, CA, USA
| | - Jonathan Garrison
- Pediatric Nephrology Cedars Sinai Medical Center, Los Angeles, CA, USA
| | | | - Stanley C Jordan
- Pediatric Nephrology Cedars Sinai Medical Center, Los Angeles, CA, USA
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214
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Keller M, Bush E, Diamond JM, Shah P, Matthew J, Brown AW, Sun J, Timofte I, Kong H, Tunc I, Luikart H, Iacono A, Nathan SD, Khush KK, Orens J, Jang M, Agbor-Enoh S. Use of donor-derived-cell-free DNA as a marker of early allograft injury in primary graft dysfunction (PGD) to predict the risk of chronic lung allograft dysfunction (CLAD). J Heart Lung Transplant 2021; 40:488-493. [PMID: 33814284 DOI: 10.1016/j.healun.2021.02.008] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 02/09/2021] [Accepted: 02/15/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Primary graft dysfunction (PGD) is a risk factor for chronic lung allograft dysfunction (CLAD). However, the association between PGD and degree of allograft injury remains poorly defined. In this study, we leverage a novel biomarker for allograft injury, percentage donor-derived cell-free DNA (%ddcfDNA), to study the association between PGD, degree of allograft injury, and the development of CLAD. METHODS This prospective cohort study recruited 99 lung transplant recipients and collected plasma samples on days 1, 3, and 7 for %ddcfDNA measurements. Clinical data on day 3 was used to adjudicate for PGD. %ddcfDNA levels were compared between PGD grades. In PGD patients, %ddcfDNA was compared between those who developed CLAD and those who did not. RESULTS On posttransplant day 3, %ddcfDNA was higher in PGD than in non-PGD patients (median [IQR]: 12.2% [8.2, 22.0] vs 8.5% [5.6, 13.2] p = 0.01). %ddcfDNA correlated with the severity grade of PGD (r = 0.24, p = 0.02). Within the PGD group, higher levels of %ddcfDNA correlated with increased risk of developing CLAD (log OR(SE) 1.38 (0.53), p = 0.009). PGD patients who developed CLAD showed ∼2-times higher %ddcfDNA levels than patients who did not develop CLAD (median [IQR]: 22.4% [11.8, 27.6] vs 9.9% [6.7, 14.9], p = 0.007). CONCLUSION PGD patients demonstrated increased early posttransplant allograft injury, as measured by %ddcfDNA, in comparison to non-PGD patients, and these high %ddcfDNA levels were associated with subsequent development of CLAD. This study suggests that %ddcfDNA identifies PGD patients at greater risk of CLAD than PGD alone.
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Affiliation(s)
- Michael Keller
- Laborarory of Applied Precision Omics (APO), Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, Maryland; Genomic Research Alliance for Transplantation (GRAfT), National Heart, Lung and Blood Institute, Bethesda, Maryland; Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, Maryland; Department of Surgery, Johns Hopkins Hospital, Baltimore, Maryland
| | - Errol Bush
- Genomic Research Alliance for Transplantation (GRAfT), National Heart, Lung and Blood Institute, Bethesda, Maryland; Inova Fairfax Hospital, Falls Church, Virginia
| | - Joshua M Diamond
- Division of Pulmonary and Critical Care Medicine, University of Maryland Medical Center, Baltimore, Maryland
| | - Pali Shah
- Genomic Research Alliance for Transplantation (GRAfT), National Heart, Lung and Blood Institute, Bethesda, Maryland; Department of Surgery, Johns Hopkins Hospital, Baltimore, Maryland
| | - Joby Matthew
- Genomic Research Alliance for Transplantation (GRAfT), National Heart, Lung and Blood Institute, Bethesda, Maryland; Department of Surgery, Johns Hopkins Hospital, Baltimore, Maryland
| | - Anne W Brown
- Genomic Research Alliance for Transplantation (GRAfT), National Heart, Lung and Blood Institute, Bethesda, Maryland; Bioinformatics and Computation Core, NHLBI, Bethesda, Maryland
| | - Junfeng Sun
- Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, Maryland
| | - Irina Timofte
- Genomic Research Alliance for Transplantation (GRAfT), National Heart, Lung and Blood Institute, Bethesda, Maryland; Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Hyesik Kong
- Laborarory of Applied Precision Omics (APO), Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, Maryland; Genomic Research Alliance for Transplantation (GRAfT), National Heart, Lung and Blood Institute, Bethesda, Maryland
| | - Ilker Tunc
- Laborarory of Applied Precision Omics (APO), Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, Maryland; Pulmonary, Allergy, and Critical Care Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Helen Luikart
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Aldo Iacono
- Genomic Research Alliance for Transplantation (GRAfT), National Heart, Lung and Blood Institute, Bethesda, Maryland; Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Steven D Nathan
- Genomic Research Alliance for Transplantation (GRAfT), National Heart, Lung and Blood Institute, Bethesda, Maryland; Bioinformatics and Computation Core, NHLBI, Bethesda, Maryland
| | - Kiran K Khush
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Jonathan Orens
- Genomic Research Alliance for Transplantation (GRAfT), National Heart, Lung and Blood Institute, Bethesda, Maryland; Department of Surgery, Johns Hopkins Hospital, Baltimore, Maryland
| | - Moon Jang
- Laborarory of Applied Precision Omics (APO), Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, Maryland; Genomic Research Alliance for Transplantation (GRAfT), National Heart, Lung and Blood Institute, Bethesda, Maryland
| | - Sean Agbor-Enoh
- Laborarory of Applied Precision Omics (APO), Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, Maryland; Genomic Research Alliance for Transplantation (GRAfT), National Heart, Lung and Blood Institute, Bethesda, Maryland; Department of Surgery, Johns Hopkins Hospital, Baltimore, Maryland.
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215
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Abstract
Donor-derived cell-free DNA (dd-cfDNA) in the blood circulation is an early marker of injury in solid organ transplantation. Here, we review recent evidence that indicates that dd-cfDNA may itself be a trigger of inflammation, thereby adding insult on injury. Early unresolving molecular allograft injury measured via changes in dd-cfDNA may be an early warning sign and may therefore enable stratification of patients who are at risk of subsequent allograft injury. Considering dd-cfDNA as a continuous and clinically significant biomarker opens up the potential for new management strategies, therapeutics, and ways to quantify interventions by considering the immunological potential of dd-cfDNA.
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216
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Maldonado AQ, West-Thielke P, Joyal K, Rogers C. Advances in personalized medicine and noninvasive diagnostics in solid organ transplantation. Pharmacotherapy 2021; 41:132-143. [PMID: 33156560 DOI: 10.1002/phar.2484] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Revised: 09/29/2020] [Accepted: 10/08/2020] [Indexed: 12/13/2022]
Abstract
Personalized medicine has been a mainstay and in practice in transplant pharmacotherapy since the advent of the field. Decisions pertaining to the diagnosis, selection, and monitoring of transplant pharmacotherapy are aimed toward the individual, the allograft, and the overall immunologic needs of the patient. Recent advances in pharmacogenomics, noninvasive biomarkers, and artificial intelligence (AI) technologies have the promise of transforming the way we individualize treatment and monitor allograft function. Pharmacogenomic testing can provide clinicians with additional data that can minimize toxicity and maximize therapeutic dosing in high-risk patients, leading to more informed decisions that may decrease the risk of rejection and adverse outcomes related to immunosuppressive therapies. Development of noninvasive strategies to monitor allograft function may offer safer and more convenient methods to detect allograft injury. Cell free DNA and gene expression profiling offer the potential to serve as "liquid biopsies" minimizing the risk to patients and providing clinicians with useful molecular data that may help individualize immunosuppression and rejection treatment. Use of big data in transplant and novel AI platforms, such as the iBox, hold tremendous promise in providing clinicians a "glimpse into the future" thereby allowing for a more individualized approach to immunosuppressive therapy that may minimize future adverse outcomes. Advances in diagnostics, laboratory science, and AI have made the application of personalized medicine even more tailored for solid organ transplant recipients. In this perspective, we summarize the current and emerging tools available, literature supporting use, and the horizon for future personalization of transplantation.
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Affiliation(s)
| | | | - Kayla Joyal
- Lahey Hospital and Medical Center, Burlington, Massachusetts, USA
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217
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Zarinsefat A, Guerra JMA, Sigdel T, Damm I, Sarwal R, Chan-On C, Szabo G, Aguilar-Frasco JL, Ixtlapale-Carmona X, Salinas-Ramos C, Ramirez-Martinez L, Ramirez C, Vilatoba M, Morales Buenrostro LE, Alberu JM, Sarwal MM. Use of the Tissue Common Rejection Module Score in Kidney Transplant as an Objective Measure of Allograft Inflammation. Front Immunol 2021; 11:614343. [PMID: 33613539 PMCID: PMC7886808 DOI: 10.3389/fimmu.2020.614343] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 12/21/2020] [Indexed: 12/03/2022] Open
Abstract
Long-term kidney transplant (KT) allograft outcomes have not improved as expected despite a better understanding of rejection and improved immunosuppression. Previous work had validated a computed rejection score, the tissue common rejection module (tCRM), measured by amplification-based assessment of 11 genes from formalin-fixed paraffin-embedded (FFPE) biopsy specimens, which allows for quantitative, unbiased assessment of immune injury. We applied tCRM in a prospective trial of 124 KT recipients, and contrasted assessment by tCRM and histology reads from 2 independent pathologists on protocol and cause biopsies post-transplant. Four 10-μm shaves from FFPE biopsy specimens were used for RNA extraction and amplification by qPCR of the 11 tCRM genes, from which the tCRM score was calculated. Biopsy diagnoses of either acute rejection (AR) or borderline rejection (BL) were considered to have inflammation present, while stable biopsies had no inflammation. Of the 77 biopsies that were read by both pathologists, a total of 40 mismatches in the diagnosis were present. The median tCRM scores for AR, BL, and stable diagnoses were 4.87, 1.85, and 1.27, respectively, with an overall significant difference among all histologic groups (Kruskal-Wallis, p < 0.0001). There were significant differences in tCRM scores between pathologists both finding inflammation vs. disagreement (p = 0.003), and both finding inflammation vs. both finding no inflammation (p < 0.001), along with overall significance between all scores (Kruskal-Wallis, p < 0.001). A logistic regression model predicting graft inflammation using various clinical predictor variables and tCRM revealed the tCRM score as the only significant predictor of graft inflammation (OR: 1.90, 95% CI: 1.40–2.68, p < 0.0001). Accurate, quantitative, and unbiased assessment of rejection of the clinical sample is critical. Given the discrepant diagnoses between pathologists on the same samples, individuals could utilize the tCRM score as a tiebreaker in unclear situations. We propose that the tCRM quantitative score can provide unbiased quantification of graft inflammation, and its rapid evaluation by PCR on the FFPE shave can become a critical adjunct to help drive clinical decision making and immunosuppression delivery.
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Affiliation(s)
- Arya Zarinsefat
- Department of Surgery, University of California, San Francisco, CA, United States
| | - Jose M Arreola Guerra
- Department of Internal Medicine, Centenario Hospital Miguel Hidalgo, Aguascalientes, Mexico
| | - Tara Sigdel
- Department of Surgery, University of California, San Francisco, CA, United States
| | - Izabella Damm
- Department of Surgery, University of California, San Francisco, CA, United States
| | - Reuben Sarwal
- Department of Surgery, University of California, San Francisco, CA, United States
| | - Chitranon Chan-On
- Department of Surgery, University of California, San Francisco, CA, United States
| | - Gyula Szabo
- Department of Pathology, University of California, San Francisco, CA, United States
| | - Jorge L Aguilar-Frasco
- Instituto Nacional de Ciencias Medicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | | | - Carlos Salinas-Ramos
- Instituto Nacional de Ciencias Medicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | | | - Claudio Ramirez
- Instituto Nacional de Ciencias Medicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Mario Vilatoba
- Instituto Nacional de Ciencias Medicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | | | - Josefina M Alberu
- Department of Medicine, Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico
| | - Minnie M Sarwal
- Department of Surgery, University of California, San Francisco, CA, United States
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218
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Wolf-Doty TK, Mannon RB, Poggio ED, Hinojosa RJ, Hiller D, Bromberg JS, Brennan DC. Dynamic Response of Donor-Derived Cell-Free DNA Following Treatment of Acute Rejection in Kidney Allografts. KIDNEY360 2021; 2:729-736. [PMID: 35373051 PMCID: PMC8791317 DOI: 10.34067/kid.0000042021] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 02/02/2021] [Indexed: 02/04/2023]
Abstract
Background The quantification of rejection treatment efficacy has been insufficient using traditional markers due, in part, to the lagging response of serum creatinine and histologic alterations on biopsy specimens. Donor-derived cell-free DNA (dd-cfDNA) is a molecular marker of injury that may assess allograft injury after rejection. Methods Retrospective review of the DART study identified 70 patients who had a clinically indicated biopsy, simultaneous dd-cfDNA measurement, and at least one follow-up dd-cfDNA within 3 months post-treatment. Thirty-five patients had no biopsy-proven rejection and no rejection treatment (NR), 16 patients had no biopsy-proven rejection but did receive rejection treatment (CR), 9 patients had diagnosis of ABMR/mixed rejection on biopsy and received rejection treatment (ABMR), and 10 patients had diagnosis of TCMR and received rejection treatment (TCMR). The CR, ABMR, and TCMR groups combined to form a rejection (R) group. Results In the R group, median dd-cfDNA values at baseline and 1 month were 0.62% and 0.35% (n=21 pairs, p=0.34), and at baseline and 2-3 months were 0.77% and 0.21% (n=23 pairs, p=0.002). In TCMR, median dd-cfDNA values at baseline and 1 month were 1.13% and 0.37% (n=5 pairs, p=0.63), and at baseline and 2-3 months were 0.25% and 0.12% (n=9 pairs, p=0.004). In ABMR, median dd-cfDNA values at baseline and 1 month were 1.61% and 1.2 % (n=6 pairs, p>0.99), and at baseline and 2-3 months were 3.85% and 1.32% (n=6 pairs, p=0.09). In CR, median dd-cfDNA values at baseline and 1 month were 0.31% and 0.29% (n=10 pairs, p=0.38), and at baseline and 2-3 months were 0.38% and 0.17% (n=8 pairs, p=0.31). Lastly, in NR, median dd-cfDNA values at baseline and 1 month were 0.23% and 0.18% (n=21 pairs, p=0.10), and at baseline and 2-3 months were 0.33% and 0.17% (n=26 pairs, p=0.003). Changes in serum creatinine across 1 month and 2-3 months following rejection were similar. Conclusions dd-cfDNA may be a useful dynamic biomarker to assess the health of the kidney allograft following rejection treatment.
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Affiliation(s)
| | - Roslyn B. Mannon
- Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Emilio D. Poggio
- Department of Nephrology and Hypertension, Cleveland Clinic, Cleveland, Ohio
| | - Randall J. Hinojosa
- Department of Pharmacy, University Health System – San Antonio, San Antonio, Texas
| | | | - Jonathan S. Bromberg
- Division of Transplantation, Department of Surgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Daniel C. Brennan
- Division of Nephrology, Department of Medicine, Johns Hopkins Hospital, Baltimore, Maryland
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219
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Zhou Y, Cheng D, Jiang T. The role of donor-derived cell-free DNA in the detection of renal allograft injury. Nephrol Ther 2021; 17:12-17. [DOI: 10.1016/j.nephro.2020.10.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/28/2020] [Accepted: 10/11/2020] [Indexed: 12/15/2022]
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220
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Guerrero-Miranda CY, Hall SA. Rethinking the future with evolving technology: It's time to empower change in heart transplantation. Am J Transplant 2021; 21:453-455. [PMID: 32717109 DOI: 10.1111/ajt.16221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/06/2020] [Accepted: 07/09/2020] [Indexed: 01/25/2023]
Affiliation(s)
- Cesar Y Guerrero-Miranda
- Annette C. and Harold C. Simmons Transplant Institute, Baylor Scott & White Research Institute, Dallas, Texas, USA.,Center for Advanced Heart and Lung Disease, Baylor University Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, Texas A&M Health Science Center, Dallas, Texas, USA
| | - Shelley A Hall
- Annette C. and Harold C. Simmons Transplant Institute, Baylor Scott & White Research Institute, Dallas, Texas, USA.,Center for Advanced Heart and Lung Disease, Baylor University Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, Texas A&M Health Science Center, Dallas, Texas, USA
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221
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Nobakht E, Jagadeesan M, Paul R, Bromberg J, Dadgar S. Precision Medicine in Kidney Transplantation: Just Hype or a Realistic Hope? Transplant Direct 2021; 7:e650. [PMID: 33437865 PMCID: PMC7793397 DOI: 10.1097/txd.0000000000001102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/27/2020] [Accepted: 10/29/2020] [Indexed: 12/17/2022] Open
Abstract
Desirable outcomes including rejection- and infection-free kidney transplantation are not guaranteed despite current strategies for immunosuppression and using prophylactic antimicrobial medications. Graft survival depends on factors beyond human leukocyte antigen matching such as the level of immunosuppression, infections, and management of other comorbidities. Risk stratification of transplant patients based on predisposing genetic modifiers and applying precision pharmacotherapy may help improving the transplant outcomes. Unlike certain fields such as oncology in which consistent attempts are being carried out to move away from the "error and trial approach," transplant medicine is lagging behind in implementing personalized immunosuppressive therapy. The need for maintaining a precarious balance between underimmunosuppression and overimmunosuppression coupled with adverse effects of medications calls for a gene-based guidance for precision pharmacotherapy in transplantation. Technologic advances in molecular genetics have led to increased accessibility of genetic tests at a reduced cost and have set the stage for widespread use of gene-based therapies in clinical care. Evidence-based guidelines available for precision pharmacotherapy have been proposed, including guidelines from Clinical Pharmacogenetics Implementation Consortium, the Pharmacogenomics Knowledge Base National Institute of General Medical Sciences of the National Institutes of Health, and the US Food and Drug Administration. In this review, we discuss the implications of pharmacogenetics and potential role for genetic variants-based risk stratification in kidney transplantation. A single score that provides overall genetic risk, a polygenic risk score, can be achieved by combining of allograft rejection/loss-associated variants carried by an individual and integrated into practice after clinical validation.
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Affiliation(s)
- Ehsan Nobakht
- Division of Renal Diseases and Hypertension, Department of Medicine, George Washington University School of Medicine, Washington, DC
| | - Muralidharan Jagadeesan
- Division of Renal Diseases and Hypertension, Department of Medicine, George Washington University School of Medicine, Washington, DC
| | - Rohan Paul
- Division of Renal Diseases and Hypertension, Department of Medicine, George Washington University School of Medicine, Washington, DC
| | - Jonathan Bromberg
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD
| | - Sherry Dadgar
- Division of Renal Diseases and Hypertension, Department of Medicine, George Washington University School of Medicine, Washington, DC
- Personalized Medicine Care Diagnostics Laboratory (PMCDx), Inc., Germantown, MD
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222
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Sood P, Cherikh WS, Toll AE, Mehta RB, Hariharan S. Kidney allograft rejection: Diagnosis and treatment practices in USA- A UNOS survey. Clin Transplant 2021; 35:e14225. [PMID: 33455009 DOI: 10.1111/ctr.14225] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 01/07/2021] [Accepted: 01/08/2021] [Indexed: 12/11/2022]
Abstract
We studied diverse rejection management strategies across centers by conducting a UNOS survey of kidney transplant program directors in 2017. There were 104 total responses from 235 kidney transplant programs representing 88 unique transplant programs (response rate 37%). Information was collected on center-specific management practices. Pertinent center-specific data were obtained from the OPTN database. Of the respondents, 33% were considered large centers (>100 transplants/year). Thymoglobulin was the most commonly used induction agent at 84%, 72% responders do rapid steroid withdrawal, and mycophenolic acid (MPA) is the major antimetabolite (100%). For diagnosing TCMR, 100% used indication biopsy, 28% used protocol biopsy, 2% used serum biomarkers, and none used urine cytokines. For ABMR, 99% used indication biopsy, 34% used protocol biopsy, 72% used DSA, 21% used C1q positive DSA, and none used gene profiling (ENDATS). The treatment of subclinical and clinical TCMR included iv/PO steroids. PP/IVIG were the commonest treatments for ABMR. The use of rituximab, bortezomib, and eculizumab increased from C4D-ABMR to recurrent ABMR. There are diverse management practices for diagnosing and treating rejection. An effort to harmonize these diverse practices for management of TCMR and ABMR will give an opportunity to pool data for evaluating clinical outcomes.
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Affiliation(s)
- Puneet Sood
- Department of Medicine and Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | | | - Alice E Toll
- United Network for Organ Sharing, Richmond, VA, USA
| | - Rajil B Mehta
- Department of Medicine and Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Sundaram Hariharan
- Department of Medicine and Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
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223
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Utility of Serial Donor-derived Cell-free DNA Measurements for Detecting Allograft Rejection in a Kidney Transplant Recipient After PD-1 Checkpoint Inhibitor Administration. Transplant Direct 2021; 7:e656. [PMID: 33490381 PMCID: PMC7817285 DOI: 10.1097/txd.0000000000001113] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 11/03/2020] [Accepted: 11/04/2020] [Indexed: 01/09/2023] Open
Abstract
Background. Donor-derived cell-free DNA (dd-cfDNA) is a useful biomarker of rejection that originates from allograft cells undergoing injury. Plasma levels <1% in kidney transplant recipients have a high negative predictive value for active allograft rejection. The utility of this biomarker in kidney transplant recipients receiving immune checkpoint inhibitor therapy is unknown. Methods. We describe a case in which serial dd-cfDNA monitoring facilitated the use of immune checkpoint inhibitor therapy, which is known to be associated with high rates of rejection, in a kidney transplant recipient with metastatic cancer. Results. A 72-y-old man with end-stage kidney disease secondary to autosomal dominant polycystic kidney disease underwent living unrelated kidney transplant in December 2010. His immunosuppression regimen included tacrolimus, mycophenolate, and prednisone. In July 2017, he presented with metastatic cutaneous squamous cell carcinoma. After his disease progressed through radiation therapy and cetuximab, he received pembrolizumab (antiprogrammed cell death protein 1). His dd-cfDNA level was undetectable at baseline, then increased during treatment but remained <1%. This trend, despite fluctuations in serum creatinine levels during therapy, allowed for continuation of pembrolizumab and successful treatment of his metastatic cancer without clinically evident allograft rejection. After discontinuation of pembrolizumab, dd-cfDNA levels fell below the level of detection. Genetic analysis of the cutaneous squamous cell carcinoma demonstrated a genetic profile distinct from the dd-cfDNA, indicating that tumor lysis did not impact increases in dd-cfDNA. Conclusions. Serial dd-cfDNA measurements may provide a useful, noninvasive biomarker for detecting allograft injury that may facilitate the use of immunomodulatory therapies in organ transplant recipients with cancer.
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224
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Martuszewski A, Paluszkiewicz P, Król M, Banasik M, Kepinska M. Donor-Derived Cell-Free DNA in Kidney Transplantation as a Potential Rejection Biomarker: A Systematic Literature Review. J Clin Med 2021; 10:jcm10020193. [PMID: 33430458 PMCID: PMC7827757 DOI: 10.3390/jcm10020193] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 01/02/2021] [Accepted: 01/05/2021] [Indexed: 12/12/2022] Open
Abstract
Kidney transplantation (KTx) is the best treatment method for end-stage kidney disease. KTx improves the patient's quality of life and prolongs their survival time; however, not all patients benefit fully from the transplantation procedure. For some patients, a problem is the premature loss of graft function due to immunological or non-immunological factors. Circulating cell-free DNA (cfDNA) is degraded deoxyribonucleic acid fragments that are released into the blood and other body fluids. Donor-derived cell-free DNA (dd-cfDNA) is cfDNA that is exogenous to the patient and comes from a transplanted organ. As opposed to an invasive biopsy, dd-cfDNA can be detected by a non-invasive analysis of a sample. The increase in dd-cfDNA concentration occurs even before the creatinine level starts rising, which may enable early diagnosis of transplant injury and adequate treatment to avoid premature graft loss. In this paper, we summarise the latest promising results related to cfDNA in transplant patients.
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Affiliation(s)
- Adrian Martuszewski
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland; (A.M.); (P.P.); (M.B.)
| | - Patrycja Paluszkiewicz
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland; (A.M.); (P.P.); (M.B.)
| | - Magdalena Król
- Students Scientific Association, Department of Biomedical and Environmental Analysis, Faculty of Pharmacy, Wroclaw Medical University, 50-556 Wroclaw, Poland;
| | - Mirosław Banasik
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland; (A.M.); (P.P.); (M.B.)
| | - Marta Kepinska
- Department of Biomedical and Environmental Analyses, Faculty of Pharmacy, Wroclaw Medical University, Borowska 211, 50-556 Wroclaw, Poland
- Correspondence: ; Tel.: +48-71-784-0171
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Pedini P, Graiet H, Laget L, Filosa L, Chatron J, Cherouat N, Chiaroni J, Hubert L, Frassati C, Picard C. Qualitative and quantitative comparison of cell-free DNA and cell-free fetal DNA isolation by four (semi-)automated extraction methods: impact in two clinical applications: chimerism quantification and noninvasive prenatal diagnosis. J Transl Med 2021; 19:15. [PMID: 33407582 PMCID: PMC7788686 DOI: 10.1186/s12967-020-02671-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 12/10/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Non-invasive molecular analysis of cell-free DNA (cfDNA) became a sensitive biomarker for monitoring organ transplantation or for detection of fetal DNA (cffDNA) in noninvasive prenatal test. In this study, we compared the efficiencies of four (semi)-automated cfDNA isolation instruments using their respective isolation kit: MagNA Pure 24 (Roche®), IDEAL (IDSolution®), LABTurbo 24 (Taigen®) and Chemagic 360 (Perkin Elmer®). The cfDNA was isolated from 5 plasma samples and the Rhesus D (RhD)-cffDNA from 5 maternal plasmas. The cfDNA were quantified by digital droplet PCR (ddPCR), BIABooster system and QUBIT fluorometer. The cfDNA fragment size profiles were assessed by BIABooster system. Chimerism were quantified by home-made ddPCR and Devyser NGS kit. RhD-cffDNA in maternal plasma were detected between weeks 14 and 24 of amenorrhea using free DNA Fetal RHD Kit® (Biorad®). RESULTS Statistical tests have shown differences in DNA yield depending on the isolation procedure and quantification method used. Magna Pure isolates smaller cfDNA fragment size than other extraction methods (90% ± 9% vs. 74% ± 8%; p = 0.009). Chimerism was only reliable from LABTurbo 24 extractions using the NGS but not with ddPCR whatever extraction methods. RhD-cffDNA were detected by all isolation methods, although IDEAL and LABTurbo 24 systems seemed more efficient. CONCLUSIONS This comparative study showed a dependency of cfDNA yield depending on isolation procedure and quantification method used. In total, these results suggest that the choice of pre-analytical isolation systems needs to be carefully validated in routine clinical practice.
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Affiliation(s)
- Pascal Pedini
- Department of Histocompatibility, Établissement Français du Sang PACA-Corse, 149 Bd Baille, 13005, Marseille, France.
| | - Hajer Graiet
- Department of Histocompatibility, Établissement Français du Sang PACA-Corse, 149 Bd Baille, 13005, Marseille, France
| | - Laurine Laget
- Department of Immunohematology, Établissement Français du Sang PACA-Corse, 149 Bd Baille, 13005, Marseille, France
| | - Lugdivine Filosa
- Department of Immunohematology, Établissement Français du Sang PACA-Corse, 149 Bd Baille, 13005, Marseille, France
| | - Jade Chatron
- Department of Histocompatibility, Établissement Français du Sang PACA-Corse, 149 Bd Baille, 13005, Marseille, France
| | - Nicem Cherouat
- Department of Histocompatibility, Établissement Français du Sang PACA-Corse, 149 Bd Baille, 13005, Marseille, France
| | - Jacques Chiaroni
- Department of Immunohematology, Établissement Français du Sang PACA-Corse, 149 Bd Baille, 13005, Marseille, France
- UMR 7268, ADÉS Aix-Marseille Université/EFS, CNRS, 27 Bd Jean Moulin, 13385, Marseille Cedex 05, France
| | - Lucas Hubert
- Department of Histocompatibility, Établissement Français du Sang PACA-Corse, 149 Bd Baille, 13005, Marseille, France
| | - Coralie Frassati
- Department of Histocompatibility, Établissement Français du Sang PACA-Corse, 149 Bd Baille, 13005, Marseille, France
| | - Christophe Picard
- Department of Histocompatibility, Établissement Français du Sang PACA-Corse, 149 Bd Baille, 13005, Marseille, France
- UMR 7268, ADÉS Aix-Marseille Université/EFS, CNRS, 27 Bd Jean Moulin, 13385, Marseille Cedex 05, France
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226
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Keller M, Agbor-Enoh S. Donor-Derived Cell-Free DNA for Acute Rejection Monitoring in Heart and Lung Transplantation. CURRENT TRANSPLANTATION REPORTS 2021; 8:351-358. [PMID: 34754720 PMCID: PMC8570240 DOI: 10.1007/s40472-021-00349-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/18/2021] [Indexed: 01/03/2023]
Abstract
PURPOSE OF REVIEW Acute allograft rejection is a common cause of morbidity and mortality in heart and lung transplantation. Unfortunately, the current monitoring gold standard-biopsy plus histopathology-has several limitations. Plasma donor-derived cell-free DNA (dd-cfDNA) has emerged as a potentially valuable biomarker for rejection that addresses some of the limitations of biopsy. This review covers the current state of the evidence and future directions for the use of dd-cfDNA in the monitoring of acute rejection. RECENT FINDINGS The results of several observational cohort studies demonstrate that levels of dd-cfDNA increase in the setting of acute cellular rejection and antibody-mediated rejection in both heart and lung transplant recipients. dd-cfDNA demonstrates acceptable performance characteristics, but low specificity for the detection of underlying injury from rejection or infection. In particular, the high negative predictive value of the test in both heart and lung transplant patients provides the potential for its use as a screening tool for the monitoring of allograft health rather than tissue biopsy alone. SUMMARY Existing evidence shows that dd-cfDNA is a safe, convenient, and reliable method of acute rejection monitoring in heart and lung transplant recipients. Further studies are required to validate threshold values for clinical use and determine its role in the diagnosis of alternative forms of allograft injury.
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Affiliation(s)
- Michael Keller
- grid.94365.3d0000 0001 2297 5165Laborarory of Applied Precision Omics (APO) and Genomic Research Alliance for Transplantation (GRAfT), National Institute of Health, Bethesda, MD USA ,grid.94365.3d0000 0001 2297 5165Department of Critical Care Medicine, National Institute of Health, Bethesda, MD USA ,grid.411935.b0000 0001 2192 2723Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD USA
| | - Sean Agbor-Enoh
- grid.94365.3d0000 0001 2297 5165Laborarory of Applied Precision Omics (APO) and Genomic Research Alliance for Transplantation (GRAfT), National Institute of Health, Bethesda, MD USA ,grid.411935.b0000 0001 2192 2723Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD USA ,grid.279885.90000 0001 2293 4638Lasker Clinical Research Tenure Track, Laboratory of Applied Precision Omics, Division of Intramural Research, NHLBI, 10 Center Dr, Rm 7D5, Baltimore, USA
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227
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Khush KK, De Vlaminck I, Luikart H, Ross DJ, Nicolls MR. Donor-derived, cell-free DNA levels by next-generation targeted sequencing are elevated in allograft rejection after lung transplantation. ERJ Open Res 2021; 7:00462-2020. [PMID: 33532456 PMCID: PMC7836440 DOI: 10.1183/23120541.00462-2020] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Accepted: 09/18/2020] [Indexed: 11/18/2022] Open
Abstract
Surveillance after lung transplantation is critical to the detection of acute cellular rejection (ACR) and prevention of chronic lung allograft dysfunction (CLAD). Therefore, we measured donor-derived cell-free DNA (dd-cfDNA) implementing a clinical-grade, next-generation targeted sequencing assay in 107 plasma samples from 38 unique lung transplantation recipients with diagnostic cohorts classified as: (1) biopsy-confirmed or treated ACR, (2) antibody-mediated rejection (AMR), (3) obstructive CLAD, (4) allograft infection (INFXN) and (5) Stable healthy allografts (STABLE). Our principal findings are as follows: (1) dd-cfDNA level was elevated in ACR (median 0.91%; interquartile range (IQR): 0.39-2.07%), CLAD (2.06%; IQR: 0.57-3.67%) and an aggregated cohort of rejection encompassing allograft injury (1.06%; IQR: 0.38-2.51%), compared with the STABLE cohort (0.38%; IQR: 0.23-0.87%) (p=0.02); (2) dd-cfDNA level with AMR was elevated (1.34%; IQR: 0.34-2.40%) compared to STABLE, although it did not reach statistical significance (p=0.07) due to limitations in sample size; (3) there was no difference in dd-cfDNA for allograft INFXN (0.39%; IQR: 0.18-0.67%) versus STABLE, which may relate to differences in "tissue injury" with the spectrum of bronchial colonisation versus invasive infection; (4) there was no difference for dd-cfDNA in unilateral versus bilateral lung transplantation; (5) "optimal threshold" for dd-cfDNA for aggregated rejection events representing allograft injury was determined as 0.85%, with sensitivity=55.6%, specificity=75.8%, positive predictive value (PPV)=43.3% and negative predictive value (NPV)=83.6%. Measurement of plasma dd-cfDNA may be a clinically useful tool for the assessment of lung allograft health and surveillance for "tissue injury" with a spectrum of rejection.
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Affiliation(s)
- Kiran K. Khush
- Division of Cardiovascular Medicine, Dept of Medicine, Stanford University, Stanford, CA, USA
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Helen Luikart
- Division of Cardiovascular Medicine, Dept of Medicine, Stanford University, Stanford, CA USA
| | | | - Mark R. Nicolls
- Division of Pulmonary and Critical Care Medicine, Dept of Medicine, Stanford University, Stanford, CA, USA
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228
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Puttarajappa CM, Mehta R, Roberts MS, Smith KJ, Hariharan S. Economic analysis of screening for subclinical rejection in kidney transplantation using protocol biopsies and noninvasive biomarkers. Am J Transplant 2021; 21:186-197. [PMID: 32558153 PMCID: PMC7744316 DOI: 10.1111/ajt.16150] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 06/03/2020] [Accepted: 06/08/2020] [Indexed: 02/07/2023]
Abstract
Subclinical rejection (SCR) screening in kidney transplantation (KT) using protocol biopsies and noninvasive biomarkers has not been evaluated from an economic perspective. We assessed cost-effectiveness from the health sector perspective of SCR screening in the first year after KT using a Markov model that compared no screening with screening using protocol biopsy or biomarker at 3 months, 12 months, 3 and 12 months, or 3, 6, and 12 months. We used 12% subclinical cellular rejection and 3% subclinical antibody-mediated rejection (SC-ABMR) for the base-case cohort. Results favored 1-time screening at peak SCR incidence rather than repeated screening. Screening 2 or 3 times was favored only with age <35 years and with high SC-ABMR incidence. Compared to biomarkers, protocol biopsy yielded more quality-adjusted life years (QALYs) at lower cost. A 12-month biopsy cost $13 318/QALY for the base-case cohort. Screening for cellular rejection in the absence of SC-ABMR was less cost effective with 12-month biopsy costing $46 370/QALY. Screening was less cost effective in patients >60 years. Using biomarker twice or thrice was cost effective only if biomarker cost was <$700. In conclusion, in KT, screening for SCR more than once during the first year is not economically reasonable. Screening with protocol biopsy was favored over biomarkers.
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Affiliation(s)
- Chethan M. Puttarajappa
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania,Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Rajil Mehta
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania,Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mark S. Roberts
- Department of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Kenneth J. Smith
- Department of Medicine, Section of Decision Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Sundaram Hariharan
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania,Thomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
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Potter SR, Hinojosa R, Miles CD, O’Brien D, Ross DJ. Remote monitoring using donor-derived, cell-free DNA after kidney transplantation during the coronavirus disease 2019 pandemic. Kidney Res Clin Pract 2020; 39:495-500. [PMID: 33303727 PMCID: PMC7770990 DOI: 10.23876/j.krcp.20.107] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 07/31/2020] [Accepted: 08/25/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Donor-derived, cell-free DNA (dd-cfDNA) level correlates with allograft injury with clinical validity and utility for quiescence and active acute rejection (AR) in kidney transplant recipients. We analyzed trends in dd-cfDNA level immediately preceding and during the coronavirus disease 2019 (COVID-19) pandemic with implemented "shelter in place" and a tele-health strategy with remote home phlebotomy to limit COVID-19 exposure. METHODS During COVID-19 in the United States (US), we surveyed weekly (January 6, 2020-May 25, 2020) metrics for dd-cfDNA corresponding to both a low risk for active rejection (dd-cfDNA < 0.5%) and cohorts with indeterminate levels of 0.5% to 1.0% and > 1.0%. During the study timeframe, over 11,000 patient samples (67%) from 150 kidney transplantation centers were transitioned from standard facility-based to remote phlebotomy. RESULTS The proportion of dd-cfDNA samples, analyzed in 21 weekly aggregated cohorts by risk-stratification category, was unchanged during the COVID-19 escalation in the US. Linearized slopes for numbers of samples corresponding to indeterminate risk for AR cohorts of > 1.0% and 0.5% to 1.0% were -0.31 and -0.12, respectively; indicating that prevalence of these "at risk for AR cohorts" decreased during remote surveillance. Approximately 73% of samples corresponded to low risk of AR (dd-cfDNA < 0.5%), while an additional 15% of samples had dd-cfDNA level ≤ 1.0%. CONCLUSION The combination of remote home phlebotomy including dd-cfDNA analysis and a tele-health program offer a new paradigm that may substantially improve patient compliance and assuage anxiety regarding the state of kidney allograft health during the COVID-19 pandemic. Further prospective multi-center studies with robust outcomes data are warranted.
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Affiliation(s)
- Steven R. Potter
- Division of Abdominal Transplantation, Department of Surgery, Baylor Scott & White Health, Temple, TX, USA
| | - Randall Hinojosa
- Department of Pharmacy; University of Texas Health; San Antonio, TX, USA
| | - Cliff D. Miles
- Department of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Dan O’Brien
- Medical Affairs, CareDx Inc., Brisbane, CA, USA
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Chronic Active Antibody-Mediated Rejection Following COVID-19 Infection in a Kidney Transplant Recipient: A Case Report. Transplant Proc 2020; 53:1202-1206. [PMID: 33413879 PMCID: PMC7832245 DOI: 10.1016/j.transproceed.2020.10.050] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 09/22/2020] [Accepted: 10/03/2020] [Indexed: 12/14/2022]
Abstract
Kidney transplant recipients who develop coronavirus disease 2019 (COVID-19) are at increased risk of life-threatening illness, which often requires reducing immunosuppression despite the potential risk of causing an allograft rejection. Herein, we describe the clinical presentation and course of a kidney transplant recipient who acquired COVID-19 and was hospitalized with severe symptoms and hypoxemia. Upon admission, the patient was found to have elevated de novo donor-specific antibodies (DSA) yielding a positive cytotoxicity crossmatch and concurrent elevated plasma donor-derived cell-free DNA (dd-cfDNA) level, indicating a possible ongoing rejection despite improvement in his serum creatinine. Because of persistent positive COVID-19 tests and stable serum creatinine, a kidney allograft biopsy was initially deferred and his dd-cfDNA and DSA were monitored closely postdischarge. Three months later, because of persistent elevated dd-cfDNA and positive DSA, a kidney allograft biopsy was performed, which showed chronic active antibody-mediated rejection. Accordingly, the patient was treated with intravenous immunoglobulin and his maintenance immunosuppressive regimen was increased.
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231
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McClure T, Goh SK, Cox D, Muralidharan V, Dobrovic A, Testro AG. Donor-specific cell-free DNA as a biomarker in liver transplantation: A review. World J Transplant 2020; 10:307-319. [PMID: 33312892 PMCID: PMC7708879 DOI: 10.5500/wjt.v10.i11.307] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 10/09/2020] [Accepted: 10/30/2020] [Indexed: 02/05/2023] Open
Abstract
Due to advances in modern medicine, liver transplantation has revolutionised the prognosis of many previously incurable liver diseases. This progress has largely been due to advances in immunosuppressant therapy. However, despite the judicious use of immunosuppression, many liver transplant recipients still experience complications such as rejection, which necessitates diagnosis via invasive liver biopsy. There is a clear need for novel, minimally-invasive tests to optimise immunosuppression and improve patient outcomes. An emerging biomarker in this ''precision medicine'' liver transplantation field is that of donor-specific cell free DNA. In this review, we detail the background and methods of detecting this biomarker, examine its utility in liver transplantation and discuss future research directions that may be most impactful.
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Affiliation(s)
- Tess McClure
- Liver Transplant Unit, Austin Health, Heidelberg 3084, VIC, Australia
| | - Su Kah Goh
- Department of Surgery, Austin Health, Heidelberg 3084, VIC, Australia
| | - Daniel Cox
- Department of Surgery, Austin Health, Heidelberg 3084, VIC, Australia
| | | | - Alexander Dobrovic
- Department of Surgery, The University of Melbourne, Heidelberg 3084, VIC, Australia
| | - Adam G Testro
- Liver Transplant Unit, Austin Health, Heidelberg 3084, VIC, Australia
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232
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Garg N, Hidalgo LG, Aziz F, Parajuli S, Mohamed M, Mandelbrot DA, Djamali A. Use of Donor-Derived Cell-Free DNA for Assessment of Allograft Injury in Kidney Transplant Recipients During the Time of the Coronavirus Disease 2019 Pandemic. Transplant Proc 2020; 52:2592-2595. [PMID: 32800517 DOI: 10.1016/j.transproceed.2020.07.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 07/28/2020] [Indexed: 10/23/2022]
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233
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Kim MY, Brennan DC, Shah P. General Approach to the Clinical Care of Solid Organ Transplant Recipients with COVID-19 Infection: Management for Transplant Recipients. CURRENT TRANSPLANTATION REPORTS 2020; 7:366-378. [PMID: 33145146 PMCID: PMC7594940 DOI: 10.1007/s40472-020-00305-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/12/2020] [Indexed: 01/08/2023]
Abstract
PURPOSE OF REVIEW Insufficient knowledge about COVID-19 and the potential risks of COVID-19 are limiting organ transplantation in wait-listed candidates and deferring essential health care in solid organ transplant recipients. In this review, we expand the understanding and present an overview of the optimized management of COVID-19 in solid organ transplant recipients. RECENT FINDINGS Transplant recipients are at an increased risk of severe COVID-19. The unique characteristics of transplant recipients can make it more difficult to identify COVID-19. Based on the COVID-19 data to date and our experience, we present testing, management, and prevention methods for COVID-19. Comprehensive diagnostic tests should be performed to determine disease severity, phase of illness, and identify other comorbidities in transplant recipients diagnosed with COVID-19. Outpatients should receive education for preventative measures and optimal health care delivery minimizing potential infectious exposures. Multidisciplinary interventions should be provided to hospitalized transplant recipients for COVID-19 because of the complexity of caring for transplant recipients. SUMMARY Transplant recipients should strictly adhere to infection prevention measures. Understanding of the transplant specific pathophysiology and development of effective treatment strategies for COVID-19 should be prioritized.
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Affiliation(s)
- Min Young Kim
- Department of Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD USA
| | - Daniel C. Brennan
- Department of Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD USA
| | - Pali Shah
- Department of Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD USA
- Division of Pulmonary and Critical Care, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
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234
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Bronkhorst AJ, Ungerer V, Diehl F, Anker P, Dor Y, Fleischhacker M, Gahan PB, Hui L, Holdenrieder S, Thierry AR. Towards systematic nomenclature for cell-free DNA. Hum Genet 2020; 140:565-578. [PMID: 33123832 PMCID: PMC7981329 DOI: 10.1007/s00439-020-02227-2] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 10/09/2020] [Indexed: 02/06/2023]
Abstract
Cell-free DNA (cfDNA) has become widely recognized as a promising candidate biomarker for minimally invasive characterization of various genomic disorders and other clinical scenarios. However, among the obstacles that currently challenge the general progression of the research field, there remains an unmet need for unambiguous universal cfDNA nomenclature. To address this shortcoming, we classify in this report the different types of cfDNA molecules that occur in the human body based on its origin, genetic traits, and locality. We proceed by assigning existing terms to each of these cfDNA subtypes, while proposing new terms and abbreviations where clarity is lacking and more precise stratification would be beneficial. We then suggest the proper usage of these terms within different contexts and scenarios, focusing mainly on the nomenclature as it relates to the domains of oncology, prenatal testing, and post-transplant surgery surveillance. We hope that these recommendations will serve as useful considerations towards the establishment of universal cfDNA nomenclature in the future. In addition, it is conceivable that many of these recommendations can be transposed to cell-free RNA nomenclature by simply exchanging “DNA” with “RNA” in each acronym/abbreviation. Similarly, when describing DNA and RNA collectively, the suffix can be replaced with “NAs” to indicate nucleic acids.
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Affiliation(s)
- Abel J Bronkhorst
- Institute for Laboratory Medicine, German Heart Centre, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany
| | - Vida Ungerer
- Institute for Laboratory Medicine, German Heart Centre, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany
| | - Frank Diehl
- Thrive Earlier Detection Corp., Cambridge, MA, USA
| | - Philippe Anker
- IRCM, Institute of Research in Oncology of Montpellier, Montpellier, France
- INSERM, U1194, Montpellier, France
- University of Montpellier, Montpellier, France
| | - Yuval Dor
- Department of Developmental Biology and Cancer Research, The Hebrew University-Hadassah Medical School, 91120, Jerusalem, Israel
| | - Michael Fleischhacker
- DRK Kliniken Berlin Mitte, Klinik für Innere Medizin, Pneumologie und Schlafmedizin, Drontheimer Str. 39-40, 13359, Berlin, Germany
| | - Peter B Gahan
- Fondazione "Enrico Puccinelli" Onlus, 06126, Perugia, Italy
| | - Lisa Hui
- Reproductive Epidemiology Group, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, VIC, Australia
- Department of Perinatal Medicine, Mercy Hospital for Women, Heidelberg, VIC, Australia
- Department of Obstetrics and Gynaecology, The Northern Hospital, Epping, VIC, Australia
| | - Stefan Holdenrieder
- Institute for Laboratory Medicine, German Heart Centre, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany
| | - Alain R Thierry
- IRCM, Institute of Research in Oncology of Montpellier, Montpellier, France.
- INSERM, U1194, Montpellier, France.
- University of Montpellier, Montpellier, France.
- ICM, Regional Institute of Cancer of Montpellier, Montpellier, France.
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235
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Garg N. Donor-Derived Cell-Free DNA: Is It All the Same? The Jury Is Still Out. KIDNEY360 2020; 1:1038-1039. [PMID: 35368777 PMCID: PMC8815479 DOI: 10.34067/kid.0004412020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 07/20/2020] [Indexed: 06/14/2023]
Affiliation(s)
- Neetika Garg
- Department of Medicine, Division of Nephrology, University of Wisconsin–Madison, Madison, Wisconsin
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236
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Gielis EM, Ledeganck KJ, Dendooven A, Meysman P, Beirnaert C, Laukens K, De Schrijver J, Van Laecke S, Van Biesen W, Emonds MP, De Winter BY, Bosmans JL, Del Favero J, Abramowicz D. The use of plasma donor-derived, cell-free DNA to monitor acute rejection after kidney transplantation. Nephrol Dial Transplant 2020; 35:714-721. [PMID: 31106364 DOI: 10.1093/ndt/gfz091] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 04/09/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND After transplantation, cell-free deoxyribonucleic acid (DNA) derived from the donor organ (ddcfDNA) can be detected in the recipient's circulation. We aimed to investigate the role of plasma ddcfDNA as biomarker for acute kidney rejection. METHODS From 107 kidney transplant recipients, plasma samples were collected longitudinally after transplantation (Day 1 to 3 months) within a multicentre set-up. Cell-free DNA from the donor was quantified in plasma as a fraction of the total cell-free DNA by next generation sequencing using a targeted, multiplex polymerase chain reaction-based method for the analysis of single nucleotide polymorphisms. RESULTS Increases of the ddcfDNA% above a threshold value of 0.88% were significantly associated with the occurrence of episodes of acute rejection (P = 0.017), acute tubular necrosis (P = 0.011) and acute pyelonephritis (P = 0.032). A receiver operating characteristic curve analysis revealed an equal area under the curve of the ddcfDNA% and serum creatinine of 0.64 for the diagnosis of acute rejection. CONCLUSIONS Although increases in plasma ddcfDNA% are associated with graft injury, plasma ddcfDNA does not outperform the diagnostic capacity of the serum creatinine in the diagnosis of acute rejection.
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Affiliation(s)
- Els M Gielis
- Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, Antwerp, Belgium
| | - Kristien J Ledeganck
- Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, Antwerp, Belgium
| | - Amélie Dendooven
- Department of Pathology, Antwerp University Hospital, Antwerp, Belgium
| | - Pieter Meysman
- Biomedical Informatics Research Network Antwerp (Biomina), University of Antwerp/Antwerp University Hospital, Antwerp, Belgium.,Advanced Database Research and Modelling (ADReM), Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium
| | - Charlie Beirnaert
- Biomedical Informatics Research Network Antwerp (Biomina), University of Antwerp/Antwerp University Hospital, Antwerp, Belgium.,Advanced Database Research and Modelling (ADReM), Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium
| | - Kris Laukens
- Biomedical Informatics Research Network Antwerp (Biomina), University of Antwerp/Antwerp University Hospital, Antwerp, Belgium.,Advanced Database Research and Modelling (ADReM), Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium
| | | | - Steven Van Laecke
- Department of Nephrology, Renal Division, Ghent University Hospital, Ghent, Belgium
| | - Wim Van Biesen
- Department of Nephrology, Renal Division, Ghent University Hospital, Ghent, Belgium
| | - Marie-Paule Emonds
- Histocompatibility and Immunogenetic Laboratory, Belgian Red Cross Flanders, Mechelen, Belgium
| | - Benedicte Y De Winter
- Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, Antwerp, Belgium
| | - Jean-Louis Bosmans
- Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, Antwerp, Belgium.,Department of Nephrology and Hypertension, Antwerp University Hospital, Antwerp, Belgium
| | | | - Daniel Abramowicz
- Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, Antwerp, Belgium.,Department of Nephrology and Hypertension, Antwerp University Hospital, Antwerp, Belgium
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237
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Donor-derived Cell-free DNA and the Prediction of BK Virus-associated Nephropathy. Transplant Direct 2020; 6:e622. [PMID: 33134498 PMCID: PMC7587413 DOI: 10.1097/txd.0000000000001061] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 08/03/2020] [Accepted: 08/05/2020] [Indexed: 12/23/2022] Open
Abstract
Approximately 15% of kidney transplant recipients (KTRs) develop BK viremia (BKV), with 1%-10% developing BK virus-associated nephropathy (BKVAN), which histologically resembles rejection. The Diagnosing Acute Rejection in Kidney Transplant Recipients (DART) study showed that donor-derived cell-free DNA (dd-cfDNA) levels <1% have a negative predictive value of 85% for active allograft rejection. Using data from this study, we evaluated the association of dd-cfDNA with plasma BK viral loads and biopsy findings to determine if dd-cfDNA can distinguish asymptomatic BKV from BKVAN. Methods Data on dd-cfDNA, plasma BK viral loads, and biopsy findings from patients from the DART study were retrospectively examined. BKV was defined as 500-10 000 copies/mL. Presumptive BKVAN was defined as BK >10 000 copies/mL. Results Of 102 participants with biopsies, 10 patients with BKV and BKVAN had paired dd-cfDNA, and viral loads available for analysis. Patients diagnosed with BKV and BKVAN had a median dd-cfDNA of 0.58% (IQR 0.43-1.15) and 3.38% (IQR 2.3-4.56, P = 0.001), respectively. dd-cfDNA titers correlated with BK PCR viral loads (R = 0.874, P = 0.01) and the presence of histologic evidence of BKVAN (100% sensitivity, 50% specificity). Five of 7 patients with BKVAN, but only 2 of 7 with BKV, had biopsies meeting Banff criteria for T-cell-mediated rejection. Median dd-cfDNA in nonrejection patients was 0.43% versus 2.84% in rejection patients (P = 0.001). Conclusion Higher dd-cfDNA titers were associated with higher BK viral loads, biopsy-diagnosed BVAN, as well histologic changes meeting Banff criteria for as T-cell-mediated rejection. dd-cfDNA may be a useful noninvasive test to assess for progression of BKV to BKVAN.
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238
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Abstract
PURPOSE OF REVIEW This review summarises recent developments in monitoring and immunosuppressive management in kidney transplantation. RECENT FINDINGS Long-term kidney allograft outcomes have not changed substantially mainly as a result of acute and chronic antibody-mediated rejection. Several groups have recently attempted to determine peripheral molecular fingerprints of ongoing rejection. But while this research is promising, it is not generalised for further spreading among different cohorts. Measurements of donor-derived cell-free DNA levels in recent studies have revealed better predictive values for antibody-mediated rejection. The Molecular Microscope Diagnostic System for assessing kidney graft biopsies has been gradually introduced within clinical practice, especially in complicated cases aimed at improving histological diagnostics. Molecular studies on accommodation in ABO-incompatible transplantation have shown increased complement regulation and lower expression of epithelial transporters and class 1 metallothioneins. Additionally, in clinical studies of sensitised patients, imlifidase has been shown to enable transplantation across significant immunological barriers, while the co-stimulation blockade has been tested to prevent donor specific antibodies development. In low-risk patients, everolimus/tacrolimus-based regimens have also proven their antiviral effects in large clinical trials. SUMMARY Recent developments in non-invasive monitoring have paved the way for the introduction of future larger clinical trials with multiple patient cohorts.
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239
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Sureshkumar KK, Aramada HR, Chopra B. Impact of body mass index and recipient age on baseline donor‐derived cell free DNA (dd‐cfDNA) in kidney transplant recipients. Clin Transplant 2020; 34:e14101. [DOI: 10.1111/ctr.14101] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 09/14/2020] [Accepted: 09/16/2020] [Indexed: 12/23/2022]
Affiliation(s)
- Kalathil K. Sureshkumar
- Division of Nephrology and Hypertension, Medicine Institute Allegheny General Hospital Pittsburgh Pennsylvania USA
| | - Harsha R. Aramada
- Division of Nephrology and Hypertension, Medicine Institute Allegheny General Hospital Pittsburgh Pennsylvania USA
| | - Bhavna Chopra
- Division of Nephrology and Hypertension, Medicine Institute Allegheny General Hospital Pittsburgh Pennsylvania USA
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240
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Wijtvliet VPWM, Plaeke P, Abrams S, Hens N, Gielis EM, Hellemans R, Massart A, Hesselink DA, De Winter BY, Abramowicz D, Ledeganck KJ. Donor-derived cell-free DNA as a biomarker for rejection after kidney transplantation: a systematic review and meta-analysis. Transpl Int 2020; 33:1626-1642. [PMID: 32981117 DOI: 10.1111/tri.13753] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 05/11/2020] [Accepted: 09/17/2020] [Indexed: 12/23/2022]
Abstract
A systematic review and meta-analysis were performed to investigate the value of donor-derived cell-free DNA (dd-cfDNA) as a noninvasive biomarker in diagnosing kidney allograft rejection. We searched PubMed, Web of Science and the Cochrane Library for original research papers published between January 1994 and May 2020 on dd-cfDNA fractions in blood of kidney allograft recipients. A single-group meta-analysis was performed by computing pooled estimates for dd-cfDNA fractions using the weighted median of medians or quantile estimation (QE) approach. Weighted median differences in medians (WMDMs) and median differences based on the QE method were used for pairwise comparisons. Despite heterogeneity among the selected studies, the meta-analysis revealed significantly higher median dd-cfDNA fractions in patients with antibody-mediated rejection (ABMR) than patients without rejection or patients with stable graft function. When comparing patients with T cell-mediated rejection (TCMR) and patients with ABMR, our two statistical approaches revealed conflicting results. Patients with TCMR did not have different median dd-cfDNA fractions than patients without rejection or patients with stable graft function. dd-cfDNA may be a useful marker for ABMR, but probably not for TCMR.
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Affiliation(s)
- Veerle P W M Wijtvliet
- Laboratory of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
| | - Philip Plaeke
- Laboratory of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium.,Department of Abdominal Surgery, Antwerp University Hospital, Edegem, Belgium
| | - Steven Abrams
- Department of Epidemiology and Social Medicine, Global Health Institute, University of Antwerp, Antwerp, Belgium.,I-BioStat, Data Science Institute, Hasselt University, Diepenbeek, Belgium
| | - Niel Hens
- I-BioStat, Data Science Institute, Hasselt University, Diepenbeek, Belgium.,Centre for Health Economics Research and Modelling Infectious Diseases, Centre for the Evaluation of Vaccination, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Els M Gielis
- Laboratory of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
| | - Rachel Hellemans
- Laboratory of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium.,Department of Nephrology and Hypertension, Antwerp University Hospital, Edegem, Belgium
| | - Annick Massart
- Laboratory of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium.,Department of Nephrology and Hypertension, Antwerp University Hospital, Edegem, Belgium
| | - Dennis A Hesselink
- Rotterdam Transplant Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Division of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Benedicte Y De Winter
- Laboratory of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
| | - Daniel Abramowicz
- Laboratory of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium.,Department of Nephrology and Hypertension, Antwerp University Hospital, Edegem, Belgium
| | - Kristien J Ledeganck
- Laboratory of Experimental Medicine and Pediatrics and Member of the Infla-Med Centre of Excellence, University of Antwerp, Antwerp, Belgium
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241
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A Practical Guide to the Clinical Implementation of Biomarkers for Subclinical Rejection Following Kidney Transplantation. Transplantation 2020; 104:700-707. [PMID: 31815910 DOI: 10.1097/tp.0000000000003064] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Noninvasive biomarkers are needed to monitor stable patients following kidney transplantation (KT), as subclinical rejection, currently detectable only with invasive surveillance biopsies, can lead to chronic rejection and graft loss. Several biomarkers have recently been developed to detect rejection in KT recipients, using different technologies as well as varying clinical monitoring strategies defined as "context of use (COU)." The various metrics utilized to evaluate the performance of each biomarker can also vary, depending on their intended COU. As the use of molecular biomarkers in transplantation represents a new era in patient management, it is important for clinicians to better understand the process by which the incremental value of each biomarkers is evaluated to determine its potential role in clinical practice. This process includes but is not limited to an assessment of clinical validity and utility, but to define these, the clinician must first appreciate the trajectory of a biomarker from bench to bedside as well as the regulatory and other requirements needed to navigate this course successfully. This overview summarizes this process, providing a framework that can be used by clinicians as a practical guide in general, and more specifically in the context of subclinical rejection following KT. In addition, we have reviewed available as well as promising biomarkers for this purpose in terms of the clinical need, COU, assessment of biomarker performance relevant to both the need and COU, assessment of biomarker benefits and risks relevant to the COU, and the evidentiary criteria of the biomarker relevant to the COU compared with the current standard of care. We also provide an insight into the path required to make biomarkers commercially available once they have been developed and validated so that they used by clinicians outside the research context in every day clinical practice.
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242
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Kohut TJ, Barandiaran JF, Keating BJ. Genomics and Liver Transplantation: Genomic Biomarkers for the Diagnosis of Acute Cellular Rejection. Liver Transpl 2020; 26:1337-1350. [PMID: 32506790 DOI: 10.1002/lt.25812] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 04/26/2020] [Accepted: 05/18/2020] [Indexed: 02/07/2023]
Abstract
Acute cellular rejection (ACR) is a common complication in liver transplantation recipients (LTRs), especially within the first 12 months, and it is associated with increased morbidity and mortality. Although abnormalities in standard liver biochemistries may raise the clinical suspicion for ACR, it lacks specificity, and invasive liver biopsies, which are associated with numerous risks, are required for definitive diagnoses. Biomarker discovery for minimally invasive tools for diagnosis and prognostication of ACR after liver transplantation (LT) has become a rapidly evolving field of research with a recent shift in focus to omics-based biomarker discovery. Although none are yet ready to replace the standard of care, there are several promising minimally invasive, blood-derived biomarkers that are under intensive research for the diagnosis of ACR in LTRs. These omics-based biomarkers, encompassing DNA, RNA, proteins, and metabolites, hold tremendous potential. Some are likely to become integrated into ACR diagnostic algorithms to assist clinical decision making with a high degree of accuracy that is cost-effective and reduces or even obviates the need for an invasive liver biopsy.
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Affiliation(s)
- Taisa J Kohut
- Penn Transplant Institute, Hospital of the University of Pennsylvania, Philadelphia, PA.,The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Jose F Barandiaran
- Department of General Surgery, Main Line Health System, Lankenau Medical Center, Wynnewood, PA
| | - Brendan J Keating
- Penn Transplant Institute, Hospital of the University of Pennsylvania, Philadelphia, PA
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243
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Preka E, Ellershaw D, Chandler N, Ahlfors H, Spencer H, Chitty LS, Fenton MJ, Marks SD. Cell-Free DNA in Pediatric Solid Organ Transplantation Using a New Detection Method of Separating Donor-Derived from Recipient Cell-Free DNA. Clin Chem 2020; 66:1300-1309. [PMID: 32882007 DOI: 10.1093/clinchem/hvaa173] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 07/06/2020] [Indexed: 11/13/2022]
Abstract
BACKGROUND The use of cell-free DNA (cfDNA) as a noninvasive biomarker to detect allograft damage is expanding rapidly. However, quantifying the low fraction of donor-derived cfDNA (ddcfDNA) is challenging and requires a highly sensitive technique. ddcfDNA detection through unique donor single nucleotide polymorphisms (SNPs) is a recent new approach, however there are limited data in pediatric solid organ transplant (SOT) recipients. METHODS We developed an assay using a combination of 61 SNPs to quantify the ddcfDNA accurately using a custom R script to model for both the patient and donor genotypes requiring only a single sample from the allograft recipient. Performance of the assay was validated using genomic DNA (gDNA), cfDNA and donor samples where available. RESULTS The R "genotype-free" method gave results comparable to when using the known donor genotype. applicable to both related and unrelated pairs and can reliably measure ddcfDNA (limit of blank, below 0.12%; limit of detection, above 0.25%; limit of quantification 0.5% resulting in 84% accuracy). 159 pediatric SOT recipients (kidney, heart, and lung) were tested without the need for donor genotyping. Serial sampling was obtained from 82 patients. CONCLUSION We have developed and validated a new assay to measure the fraction of ddcfDNA in the plasma of pediatric SOT recipients. Our method can be applicable in any donor-recipient pair without the need for donor genotyping and can provide results in 48 h at a low cost. Additional prospective studies are required to demonstrate its clinical validity in a large cohort of pediatric SOT recipients.
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Affiliation(s)
- Evgenia Preka
- Department of Paediatric Nephrology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.,Paediatric Nephrology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Drew Ellershaw
- London North Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Natalie Chandler
- London North Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Helena Ahlfors
- London North Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Helen Spencer
- Cardiothoracic Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Lyn S Chitty
- North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust and Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health
| | - Matthew J Fenton
- Cardiothoracic Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Stephen D Marks
- Department of Paediatric Nephrology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.,University College London Great Ormond Street Institute of Child Health, NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK
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244
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The care of kidney transplant recipients during a global pandemic: Challenges and strategies for success. Transplant Rev (Orlando) 2020; 34:100567. [PMID: 32690437 PMCID: PMC7354264 DOI: 10.1016/j.trre.2020.100567] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 07/07/2020] [Accepted: 07/08/2020] [Indexed: 12/22/2022]
Abstract
The global pandemic of severe acute respiratory coronavirus 2 (SARS-CoV-2), which causes the novel beta coronavirus 2019 disease (COVID-19), has become an unprecedented medical, economic, and psychosocial crisis. The pandemic and its management strategies have resulted in immense challenges for health systems, not only in caring for those with COVID-19 but also in the ongoing management of chronic medical conditions. Kidney transplant recipients present a unique challenge given their need for ongoing monitoring and management as well as their higher risk of COVID-19 infection. In the absence of clear guidelines, it is unclear how to best provide routine care to this unique patient population during the pandemic. Rigorous medical and psychosocial patient-centered risk stratification strategies are needed to avoid adverse outcomes in stable solid organ transplant recipients. This review will focus on the challenges faced by kidney transplant recipients and health care providers and provides strategies to address these issues.
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245
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Gray JN, Wolf-Doty T, Sulejmani N, Gaber O, Axelrod D, Abdalla B, Danovitch G. KidneyCare Guided Immuno-Optimization in Renal Allografts: The KIRA Protocol. Methods Protoc 2020; 3:E68. [PMID: 33007896 PMCID: PMC7712506 DOI: 10.3390/mps3040068] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 09/20/2020] [Accepted: 09/25/2020] [Indexed: 01/09/2023] Open
Abstract
Immunosuppressant agents are essential in every transplant recipient's care yet walking the fine line of over- or under-immunosuppression is a constant struggle for both patients and transplant providers alike. Optimization and personalization of immunosuppression has been limited by the need for non-invasive graft surveillance methods that are specific enough to identify organ injury in real time. With this in mind, we propose a pilot study protocol utilizing both donor derived cell free DNA (dd-cfDNA, gene expression profiling (GEP), and machine learning (iBox), called KidneyCare, to assess the feasibility and safety in reducing immunosuppressant exposure without increasing the risk of clinical rejection, graft injury, or allograft loss. Patients randomized to the immunominimization arm will be enrolled in one of two protocols designed to eliminate one immunosuppressant and optimize the dose of the Calcineurin Inhibitors (CNIs) using the KidneyCare platform. All patients will be maintained on dual therapy of either steroids and a low dose CNI, or mycophenolate mofetil (MMF) and low dose CNI. Their outcomes will be compared to patients who have their immunosuppressants managed using standard clinical assessment and treatment protocols to determine the impact of immuno-optimization on graft function, complications, and patient reported outcomes.
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Affiliation(s)
- Jennifer N. Gray
- CareDx, 3260 Bayshore Blvd, Brisbane, CA 94005, USA; (T.W.-D.); (N.S.)
| | - Theresa Wolf-Doty
- CareDx, 3260 Bayshore Blvd, Brisbane, CA 94005, USA; (T.W.-D.); (N.S.)
| | - Nimisha Sulejmani
- CareDx, 3260 Bayshore Blvd, Brisbane, CA 94005, USA; (T.W.-D.); (N.S.)
| | - Osama Gaber
- Houston Methodist Hospital, 6565 Fannin St. Houston, TX 77030, USA;
| | - David Axelrod
- Department of Surgery, University of Iowa Medical Center, 200 Hawkins Dr, Iowa City, IA 52242, USA;
| | - Basmah Abdalla
- UCLA Medical Center, 757 Westwood Plaza, Los Angeles, CA 90095, USA; (B.A.); (G.D.)
| | - Gabriel Danovitch
- UCLA Medical Center, 757 Westwood Plaza, Los Angeles, CA 90095, USA; (B.A.); (G.D.)
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Swanson KJ, Aziz F, Garg N, Mohamed M, Mandelbrot D, Djamali A, Parajuli S. Role of novel biomarkers in kidney transplantation. World J Transplant 2020; 10:230-255. [PMID: 32995319 PMCID: PMC7504189 DOI: 10.5500/wjt.v10.i9.230] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 07/21/2020] [Accepted: 08/26/2020] [Indexed: 02/05/2023] Open
Abstract
Clinical application of biomarkers is an integral component of transplant care. Clinicians and scientists alike are in search of better biomarkers than the current serologic (serum creatinine, donor-specific antibodies), urine-derived (urinalysis, urine protein), and histologic ones we now use. The science behind recent biomarker discovery spans across multiple molecular biologic disciplines, including transcriptomics, proteomics, and metabolomics. Innovative methodology and integration of basic and clinical approaches have allowed researchers to unearth molecular phenomena preceding clinical disease. Biomarkers can be classified in several ways. In this review, we have classified them via their origin and outcome: Primarily immunologic, i.e., representative of immune regulation and dysfunction and non-immunologic, pertaining to delayed graft function, cardiovascular events/mortality, infection, malignancy, post-transplant diabetes, graft, and patient survival. Novel biomarker uses to guide the diagnosis and management of transplant-related outcomes is a promising area of research. However, the use of biomarkers to predict outcomes after kidney transplantation is not well studied. In this review, we summarize the recent studies illustrating biomarker use and transplant outcomes.
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Affiliation(s)
- Kurtis J Swanson
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, United States
| | - Fahad Aziz
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, United States
| | - Neetika Garg
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, United States
| | - Maha Mohamed
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, United States
| | - Didier Mandelbrot
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, United States
| | - Arjang Djamali
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, United States
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, United States
| | - Sandesh Parajuli
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, United States
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247
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The Author's Reply to "Performance of Donor-Derived Cell-Free DNA Assays in Kidney Transplant Patients". Transplantation 2020; 104:e136-e137. [PMID: 32317616 DOI: 10.1097/tp.0000000000003085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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248
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Performance of Donor-derived Cell-free DNA Assays in Kidney Transplant Patients. Transplantation 2020; 104:e135. [PMID: 32044893 DOI: 10.1097/tp.0000000000003084] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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249
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Levine DJ, Ross DJ, Sako E. Single Center "Snapshot" Experience With Donor-Derived Cell-Free DNA After Lung Transplantation. Biomark Insights 2020; 15:1177271920958704. [PMID: 32982146 PMCID: PMC7498978 DOI: 10.1177/1177271920958704] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 08/22/2020] [Indexed: 11/17/2022] Open
Affiliation(s)
- Deborah Jo Levine
- Department of Medicine, Pulmonary and Critical
Care, University of Texas Health Science Center, San Antonio, San Antonio, TX, USA
| | - David J Ross
- David Geffen-UCLA School of Medicine;
Transplant Molecular Diagnostics; CareDx, Inc., Brisbane, CA, USA
| | - Edward Sako
- Department of Cardiothoracic Surgery,
University of Texas Health Science Center San Antonio, San Antonio, TX, USA
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250
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Shen J, Guo L, Yan P, Zhou J, Zhou Q, Lei W, Liu H, Liu G, Lv J, Liu F, Huang H, Dong W, Shu L, Wang H, Wu J, Chen J, Wang R. Prognostic value of the donor-derived cell-free DNA assay in acute renal rejection therapy: A prospective cohort study. Clin Transplant 2020; 34:e14053. [PMID: 32735352 DOI: 10.1111/ctr.14053] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 06/30/2020] [Accepted: 07/23/2020] [Indexed: 12/16/2022]
Abstract
Donor-derived cell-free DNA (dd-cfDNA) is a promising biomarker for monitoring allograft status. However, whether dd-cfDNA can reflect real-time anti-rejection treatment effects remains unclear. We prospectively recruited 28 patients with acute renal rejection, including 5 with ABMR, 12 with type IA or type IB rejection, and 11 with type IIA or IIB rejection. dd-cfDNA levels in peripheral blood were measured using human single nucleotide polymorphism (SNP) locus capture hybridization. The percentage of dd-cfDNA (dd-cfDNA%) declined significantly from 2.566 ± 0.549% to 0.773 ± 0.116% (P < .001) after anti-rejection therapy. The dd-cfDNA% decreased steadily over the course of 3 days with daily methylprednisolone injections, but no significant difference in the dd-cfDNA% was observed between the end of anti-rejection therapy and 2 weeks later. Changes in the dd-cfDNA% (∆dd-cfDNA%) demonstrated a positive correlation with estimated glomerular filtration rates at 1 month (ρ = 2.570, P = .022), 3 months (ρ = 3.210, P = .027), and 6 months (ρ = 2.860, P = .019) after therapy. Thus, the dd-cfDNA assay shows prognostic capabilities in therapy outcome and allograft recovery; however, its ability is inhibited by methylprednisolone regardless of the types of rejection. Additionally, a reassessment of frequency intervals for testing is required.
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Affiliation(s)
- Jia Shen
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China
| | - Luying Guo
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China
| | - Pengpeng Yan
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China
| | - Jingyi Zhou
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China
| | - Qin Zhou
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China
| | - Wenhua Lei
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China
| | - Haitao Liu
- AlloDx (Shanghai) biotech., Co., Ltd, Shanghai, China
| | - Guangjun Liu
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China
| | - Junhao Lv
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China
| | - Feng Liu
- AlloDx (Shanghai) biotech., Co., Ltd, Shanghai, China
| | - Hongfeng Huang
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China
| | - Wenzhao Dong
- AlloDx (Shanghai) biotech., Co., Ltd, Shanghai, China
| | - Liping Shu
- AlloDx (Shanghai) biotech., Co., Ltd, Shanghai, China
| | - Huiping Wang
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China
| | - Jianyong Wu
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China
| | - Jianghua Chen
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China
| | - Rending Wang
- Kidney Disease Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,National Key Clinical Department of Kidney Diseases, Zhejiang, China.,Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang, China.,Zhejiang University Institute of Nephrology, Hangzhou, China.,Organ Donation and Coordination Office, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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