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Collins KE, Gilbert E, Mauduit V, Benson KA, Elhassan EAE, O'Seaghdha C, Hill C, McKnight AJ, Maxwell AP, van der Most PJ, de Borst MH, Guan W, Jacobson PA, Israni AK, Keating BJ, Lord GM, Markkinen S, Helanterä I, Hyvärinen K, Partanen J, Madden SF, Limou S, Cavalleri GL, Conlon PJ. Donor genetic burden for cerebrovascular risk and kidney transplant outcome. J Nephrol 2024:10.1007/s40620-024-01973-0. [PMID: 38809363 DOI: 10.1007/s40620-024-01973-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 04/26/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND AND HYPOTHESIS Kidney grafts from donors who died of stroke and related traits have worse outcomes relative to grafts from both living donors and those who died of other causes. We hypothesise that deceased donors, particularly those who died of stroke, have elevated polygenic burden for cerebrovascular traits. We further hypothesise that this donor polygenic burden is associated with inferior graft outcomes in the recipient. METHODS Using a dataset of 6666 deceased and living kidney donors from seven different European ancestry transplant cohorts, we investigated the role of polygenic burden for cerebrovascular traits (hypertension, stroke, and intracranial aneurysm (IA)) on donor age of death and recipient graft outcomes. RESULTS We found that kidney donors who died of stroke had elevated intracranial aneurysm and hypertension polygenic risk scores, compared to healthy controls and living donors. This burden was associated with age of death among donors who died of stroke. Increased donor polygenic risk for hypertension was associated with reduced long term graft survival (HR: 1.44, 95% CI [1.07, 1.93]) and increased burden for hypertension, and intracranial aneurysm was associated with reduced recipient estimated glomerular filtration rate (eGFR) at 1 year. CONCLUSIONS Collectively, the results presented here demonstrate the impact of inherited factors associated with donors' death on long-term graft function.
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Affiliation(s)
- Kane E Collins
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
- The Science Foundation Ireland FutureNeuro Centre of Excellence, Dublin, Ireland
- SFI Centre for Research Training in Genomics Data Science, University of Galway, Galway, Ireland
| | - Edmund Gilbert
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
- The Science Foundation Ireland FutureNeuro Centre of Excellence, Dublin, Ireland
| | - Vincent Mauduit
- Center for Research in Transplantation and Translational Immunology, UMR1064, Nantes University, Ecole Centrale Nantes, INSERM, Nantes, France
| | - Katherine A Benson
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
- The Science Foundation Ireland FutureNeuro Centre of Excellence, Dublin, Ireland
| | - Elhussein A E Elhassan
- Department of Nephrology and Transplantation, Beaumont Hospital, Dublin, Ireland
- Department of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Conall O'Seaghdha
- Department of Nephrology and Transplantation, Beaumont Hospital, Dublin, Ireland
- Department of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Claire Hill
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
| | - Amy Jayne McKnight
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
| | - Alexander P Maxwell
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Martin H de Borst
- Department of Internal Medicine, Divison of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Pamala A Jacobson
- College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA
| | - Ajay K Israni
- College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA
| | - Brendan J Keating
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Graham M Lord
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Salla Markkinen
- Finnish Red Cross Blood Service, Research and Development, Biomedicum 1, Helsinki, Finland
| | - Ilkka Helanterä
- Transplantation and Liver Surgery, Helsinki University Hospital, Helsinki, Finland
| | - Kati Hyvärinen
- Finnish Red Cross Blood Service, Research and Development, Biomedicum 1, Helsinki, Finland
| | - Jukka Partanen
- Finnish Red Cross Blood Service, Research and Development, Biomedicum 1, Helsinki, Finland
| | - Stephen F Madden
- Data Science Centre, Royal College of Surgeons in Ireland, Beaux Lane House, Dublin, Ireland
| | - Sophie Limou
- Center for Research in Transplantation and Translational Immunology, UMR1064, Nantes University, Ecole Centrale Nantes, INSERM, Nantes, France
| | - Gianpiero L Cavalleri
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
- The Science Foundation Ireland FutureNeuro Centre of Excellence, Dublin, Ireland
- SFI Centre for Research Training in Genomics Data Science, University of Galway, Galway, Ireland
| | - Peter J Conlon
- Department of Nephrology and Transplantation, Beaumont Hospital, Dublin, Ireland.
- Department of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland.
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2
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Tomasoni M, Beyeler MJ, Vela SO, Mounier N, Porcu E, Corre T, Krefl D, Button AL, Abouzeid H, Lazaros K, Bochud M, Schlingemann R, Bergin C, Bergmann S. Genome-wide Association Studies of Retinal Vessel Tortuosity Identify Numerous Novel Loci Revealing Genes and Pathways Associated With Ocular and Cardiometabolic Diseases. OPHTHALMOLOGY SCIENCE 2023; 3:100288. [PMID: 37131961 PMCID: PMC10149284 DOI: 10.1016/j.xops.2023.100288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 02/03/2023] [Accepted: 02/09/2023] [Indexed: 02/18/2023]
Abstract
Purpose To identify novel susceptibility loci for retinal vascular tortuosity, to better understand the molecular mechanisms modulating this trait, and reveal causal relationships with diseases and their risk factors. Design Genome-wide Association Studies (GWAS) of vascular tortuosity of retinal arteries and veins followed by replication meta-analysis and Mendelian randomization (MR). Participants We analyzed 116 639 fundus images of suitable quality from 63 662 participants from 3 cohorts, namely the UK Biobank (n = 62 751), the Swiss Kidney Project on Genes in Hypertension (n = 397), and OphtalmoLaus (n = 512). Methods Using a fully automated retina image processing pipeline to annotate vessels and a deep learning algorithm to determine the vessel type, we computed the median arterial, venous and combined vessel tortuosity measured by the distance factor (the length of a vessel segment over its chord length), as well as by 6 alternative measures that integrate over vessel curvature. We then performed the largest GWAS of these traits to date and assessed gene set enrichment using the novel high-precision statistical method PascalX. Main Outcome Measure We evaluated the genetic association of retinal tortuosity, measured by the distance factor. Results Higher retinal tortuosity was significantly associated with higher incidence of angina, myocardial infarction, stroke, deep vein thrombosis, and hypertension. We identified 175 significantly associated genetic loci in the UK Biobank; 173 of these were novel and 4 replicated in our second, much smaller, metacohort. We estimated heritability at ∼25% using linkage disequilibrium score regression. Vessel type specific GWAS revealed 116 loci for arteries and 63 for veins. Genes with significant association signals included COL4A2, ACTN4, LGALS4, LGALS7, LGALS7B, TNS1, MAP4K1, EIF3K, CAPN12, ECH1, and SYNPO2. These tortuosity genes were overexpressed in arteries and heart muscle and linked to pathways related to the structural properties of the vasculature. We demonstrated that retinal tortuosity loci served pleiotropic functions as cardiometabolic disease variants and risk factors. Concordantly, MR revealed causal effects between tortuosity, body mass index, and low-density lipoprotein. Conclusions Several alleles associated with retinal vessel tortuosity suggest a common genetic architecture of this trait with ocular diseases (glaucoma, myopia), cardiovascular diseases, and metabolic syndrome. Our results shed new light on the genetics of vascular diseases and their pathomechanisms and highlight how GWASs and heritability can be used to improve phenotype extraction from high-dimensional data, such as images. Financial Disclosures The author(s) have no proprietary or commercial interest in any materials discussed in this article.
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Affiliation(s)
- Mattia Tomasoni
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Jules-Gonin Eye Hospital, Lausanne, Switzerland
| | - Michael Johannes Beyeler
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Sofia Ortin Vela
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Ninon Mounier
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Eleonora Porcu
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Tanguy Corre
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Daniel Krefl
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Alexander Luke Button
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Hana Abouzeid
- Division of Ophthalmology, Geneva University Hospitals, Geneva, Switzerland
- Clinical Eye Research Center Memorial Adolphe de Rothschild, Geneva, Switzerland
| | | | - Murielle Bochud
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Reinier Schlingemann
- Jules-Gonin Eye Hospital, Lausanne, Switzerland
- Department of Ophthalmology, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | | | - Sven Bergmann
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa
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Cañadas-Garre M, Kunzmann AT, Anderson K, Brennan EP, Doyle R, Patterson CC, Godson C, Maxwell AP, McKnight AJ. Albuminuria-Related Genetic Biomarkers: Replication and Predictive Evaluation in Individuals with and without Diabetes from the UK Biobank. Int J Mol Sci 2023; 24:11209. [PMID: 37446387 PMCID: PMC10342310 DOI: 10.3390/ijms241311209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/26/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023] Open
Abstract
Increased albuminuria indicates underlying glomerular pathology and is associated with worse renal disease outcomes, especially in diabetic kidney disease. Many single nucleotide polymorphisms (SNPs), associated with albuminuria, could be potentially useful to construct polygenic risk scores (PRSs) for kidney disease. We investigated the diagnostic accuracy of SNPs, previously associated with albuminuria-related traits, on albuminuria and renal injury in the UK Biobank population, with a particular interest in diabetes. Multivariable logistic regression was used to evaluate the influence of 91 SNPs on urine albumin-to-creatinine ratio (UACR)-related traits and kidney damage (any pathology indicating renal injury), stratifying by diabetes. Weighted PRSs for microalbuminuria and UACR from previous studies were used to calculate the area under the receiver operating characteristic curve (AUROC). CUBN-rs1801239 and DDR1-rs116772905 were associated with all the UACR-derived phenotypes, in both the overall and non-diabetic cohorts, but not with kidney damage. Several SNPs demonstrated different effects in individuals with diabetes compared to those without. SNPs did not improve the AUROC over currently used clinical variables. Many SNPs are associated with UACR or renal injury, suggesting a role in kidney dysfunction, dependent on the presence of diabetes in some cases. However, individual SNPs or PRSs did not improve the diagnostic accuracy for albuminuria or renal injury compared to standard clinical variables.
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Affiliation(s)
- Marisa Cañadas-Garre
- Molecular Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University Belfast, Institute for Clinical Sciences A, Royal Victoria Hospital, Belfast BT12 6BA, UK
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer-University of Granada-Andalusian Regional Government, PTS Granada, Avenida de la Ilustración 114, 18016 Granada, Spain
- Hematology Department, Hospital Universitario Virgen de las Nieves, Avenida de las Fuerzas Armadas 2, 18014 Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Avenida de Madrid, 15, 18012 Granada, Spain
| | - Andrew T. Kunzmann
- Cancer Epidemiology Research Group, Centre for Public Health, Queen’s University Belfast, Institute for Clinical Sciences A, Royal Victoria Hospital, Belfast BT12 6BA, UK
| | - Kerry Anderson
- Molecular Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University Belfast, Institute for Clinical Sciences A, Royal Victoria Hospital, Belfast BT12 6BA, UK
| | - Eoin P. Brennan
- UCD Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Ross Doyle
- UCD Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, D04 V1W8 Dublin, Ireland
- School of Medicine, University College Dublin, Health Sciences Centre, Belfield, D04 V1W8 Dublin, Ireland
- Mater Misericordiae University Hospital, Eccles St., D07 R2WY Dublin, Ireland
| | - Christopher C. Patterson
- Molecular Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University Belfast, Institute for Clinical Sciences A, Royal Victoria Hospital, Belfast BT12 6BA, UK
| | - Catherine Godson
- UCD Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, D04 V1W8 Dublin, Ireland
- School of Medicine, University College Dublin, Health Sciences Centre, Belfield, D04 V1W8 Dublin, Ireland
| | - Alexander P. Maxwell
- Molecular Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University Belfast, Institute for Clinical Sciences A, Royal Victoria Hospital, Belfast BT12 6BA, UK
- Regional Nephrology Unit, Level 11, Belfast City Hospital, Lisburn Road, Belfast BT9 7AB, UK
| | - Amy Jayne McKnight
- Molecular Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University Belfast, Institute for Clinical Sciences A, Royal Victoria Hospital, Belfast BT12 6BA, UK
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Smyth LJ, Kerr KR, Kilner J, McGill ÁE, Maxwell AP, McKnight AJ. Longitudinal Epigenome-Wide Analysis of Kidney Transplant Recipients Pretransplant and Posttransplant. Kidney Int Rep 2023; 8:330-340. [PMID: 36815102 PMCID: PMC9939425 DOI: 10.1016/j.ekir.2022.11.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 11/01/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2022] Open
Abstract
Introduction Kidney transplantation remains the gold standard of treatment for end-stage renal disease (ESRD), with improved patient outcomes compared with dialysis. Epigenome-Wide Association Analysis (EWAS) of DNA methylation may identify markers that contribute to an individual's risk of adverse transplant outcomes, yet only a limited number of EWAS have been conducted in kidney transplant recipients. This EWAS aimed to interrogate the methylation profile of a kidney transplant recipient cohort with minimal posttransplant complications, exploring differences in samples pretransplant and posttransplant. Methods We compared differentially methylated cytosine-phosphate-guanine sites (dmCpGs) in samples derived from peripheral blood mononuclear cells of the same kidney transplant recipients, collected both pretransplant and posttransplant (N = 154), using the Infinium MethylationEPIC microarray (Illumina, San Diego, CA). Recipients received kidneys from deceased donors and had a mean of 17 years of follow-up. Results Five top-ranked dmCpGs were significantly different at false discovery rate (FDR) adjusted P ≤ 9 × 10-8; cg23597162 within JAZF1, cg25187293 within BTNL8, cg17944885, located between ZNF788P and ZNF625-ZNF20, cg14655917 located between ASB4 and PDK4 and cg09839120 located between GIMAP6 and EIF2AP3. Conclusion Five dmCpGs were identified at the generally accepted EWAS critical significance level of FDR adjusted P (P FDRadj) ≤ 9 × 10-8, including cg23597162 (within JAZF1) and cg17944885, which have prior associations with chronic kidney disease (CKD). Comparing individuals with no evidence of posttransplant complications (N = 105) demonstrated that 693,555 CpGs (89.57%) did not display any significant difference in methylation (P FDRadj ≥ 0.05), thereby this study establishes an important reference for future epigenetic studies that seek to identify markers of posttransplant complications.
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Affiliation(s)
- Laura J Smyth
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Katie R Kerr
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Jill Kilner
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Áine E McGill
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Alexander P Maxwell
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Amy Jayne McKnight
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
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5
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Tambur AR, Bestard O, Campbell P, Chong AS, Barrio MC, Ford ML, Gebel HM, Heidt S, Hickey M, Jackson A, Kosmoliaptsis V, Lefaucheur C, Louis K, Mannon RB, Mengel M, Morris A, Pinelli DF, Reed EF, Schinstock C, Taupin JL, Valenzuela N, Wiebe C, Nickerson P. Sensitization in transplantation: Assessment of Risk 2022 Working Group Meeting Report. Am J Transplant 2023; 23:133-149. [PMID: 36695615 DOI: 10.1016/j.ajt.2022.11.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 10/20/2022] [Accepted: 11/02/2022] [Indexed: 01/13/2023]
Abstract
The Sensitization in Transplantation: Assessment of Risk workgroup is a collaborative effort of the American Society of Transplantation and the American Society of Histocompatibility and Immunogenetics that aims at providing recommendations for clinical testing, highlights gaps in current knowledge, and proposes areas for further research to enhance histocompatibility testing in support of solid organ transplantation. This report provides updates on topics discussed by the previous Sensitization in Transplantation: Assessment of Risk working groups and introduces 2 areas of exploration: non-human leukocyte antigen antibodies and utilization of human leukocyte antigen antibody testing measurement to evaluate the efficacy of antibody-removal therapies.
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Affiliation(s)
- Anat R Tambur
- Department of Surgery, Comprehensive Transplant Center, Northwestern University, Chicago, Illinois, USA.
| | - Oriol Bestard
- Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari, Barcelona, Spain
| | - Patricia Campbell
- Department of Laboratory Medicine & Pathology, University of Alberta, Edmonton, Canada
| | - Anita S Chong
- Section of Transplantation, Department of Surgery, The University of Chicago, Chicago, Illinois, USA
| | - Martha Crespo Barrio
- Department of Nephrology, Hospital del Mar & Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Mandy L Ford
- Department of Surgery and Emory Transplant Center, Emory University, Atlanta, Georgia, USA
| | - Howard M Gebel
- Department of Pathology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Sebastiaan Heidt
- Department of Immunology, Leiden University Medical Center, Netherlands
| | - Michelle Hickey
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Annette Jackson
- Department of Immunology, Duke University School of Medicine, Durham, North Carolina, USA
| | | | - Carmen Lefaucheur
- Paris Translational Research Center for Organ Transplantation, Institut national de la santé et de la recherche médicale UMR-S970, Université de Paris, Paris, France
| | - Kevin Louis
- Paris Translational Research Center for Organ Transplantation, Institut national de la santé et de la recherche médicale UMR-S970, Université de Paris, Paris, France
| | - Roslyn B Mannon
- Department of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Michael Mengel
- Department of Laboratory Medicine & Pathology, University of Alberta, Edmonton, Canada
| | - Anna Morris
- Department of Pathology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - David F Pinelli
- Department of Surgery, Comprehensive Transplant Center, Northwestern University, Chicago, Illinois, USA
| | - Elaine F Reed
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | | | - Jean-Luc Taupin
- Department of Immunology, Saint Louis Hospital and University Paris-Cité, Paris, France
| | - Nicole Valenzuela
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Chris Wiebe
- Department of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Peter Nickerson
- Department of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
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Mismatches in Gene Deletions and Kidney-related Proteins as Candidates for Histocompatibility Factors in Kidney Transplantation. Kidney Int Rep 2022; 7:2484-2494. [DOI: 10.1016/j.ekir.2022.08.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 08/23/2022] [Accepted: 08/29/2022] [Indexed: 11/18/2022] Open
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Li Y, Nieuwenhuis LM, Keating BJ, Festen EA, de Meijer VE. The Impact of Donor and Recipient Genetic Variation on Outcomes After Solid Organ Transplantation: A Scoping Review and Future Perspectives. Transplantation 2022; 106:1548-1557. [PMID: 34974452 PMCID: PMC9311456 DOI: 10.1097/tp.0000000000004042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 11/16/2021] [Accepted: 11/25/2021] [Indexed: 11/25/2022]
Abstract
At the outset of solid organ transplantation, genetic variation between donors and recipients was recognized as a major player in mechanisms such as allograft tolerance and rejection. Genome-wide association studies have been very successful in identifying novel variant-trait associations, but have been difficult to perform in the field of solid organ transplantation due to complex covariates, era effects, and poor statistical power for detecting donor-recipient interactions. To overcome a lack of statistical power, consortia such as the International Genetics and Translational Research in Transplantation Network have been established. Studies have focused on the consequences of genetic dissimilarities between donors and recipients and have reported associations between polymorphisms in candidate genes or their regulatory regions with transplantation outcomes. However, knowledge on the exact influence of genetic variation is limited due to a lack of comprehensive characterization and harmonization of recipients' or donors' phenotypes and validation using an experimental approach. Causal research in genetics has evolved from agnostic discovery in genome-wide association studies to functional annotation and clarification of underlying molecular mechanisms in translational studies. In this overview, we summarize how the recent advances and progresses in the field of genetics and genomics have improved the understanding of outcomes after solid organ transplantation.
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Affiliation(s)
- Yanni Li
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Lianne M. Nieuwenhuis
- Department of Surgery, section of Hepatobiliary Surgery and Liver Transplantation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Brendan J. Keating
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Eleonora A.M. Festen
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Vincent E. de Meijer
- Department of Surgery, section of Hepatobiliary Surgery and Liver Transplantation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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8
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Genetics in chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int 2022; 101:1126-1141. [PMID: 35460632 PMCID: PMC9922534 DOI: 10.1016/j.kint.2022.03.019] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 03/16/2022] [Accepted: 03/29/2022] [Indexed: 01/19/2023]
Abstract
Numerous genes for monogenic kidney diseases with classical patterns of inheritance, as well as genes for complex kidney diseases that manifest in combination with environmental factors, have been discovered. Genetic findings are increasingly used to inform clinical management of nephropathies, and have led to improved diagnostics, disease surveillance, choice of therapy, and family counseling. All of these steps rely on accurate interpretation of genetic data, which can be outpaced by current rates of data collection. In March of 2021, Kidney Diseases: Improving Global Outcomes (KDIGO) held a Controversies Conference on "Genetics in Chronic Kidney Disease (CKD)" to review the current state of understanding of monogenic and complex (polygenic) kidney diseases, processes for applying genetic findings in clinical medicine, and use of genomics for defining and stratifying CKD. Given the important contribution of genetic variants to CKD, practitioners with CKD patients are advised to "think genetic," which specifically involves obtaining a family history, collecting detailed information on age of CKD onset, performing clinical examination for extrarenal symptoms, and considering genetic testing. To improve the use of genetics in nephrology, meeting participants advised developing an advanced training or subspecialty track for nephrologists, crafting guidelines for testing and treatment, and educating patients, students, and practitioners. Key areas of future research, including clinical interpretation of genome variation, electronic phenotyping, global representation, kidney-specific molecular data, polygenic scores, translational epidemiology, and open data resources, were also identified.
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Genetic background and transplantation outcomes: insights from genome-wide association studies. Curr Opin Organ Transplant 2020; 25:35-41. [PMID: 31815792 DOI: 10.1097/mot.0000000000000718] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE OF REVIEW The current review summarizes recent advances in the genetic studies of transplantation outcomes, including new genome-wide association studies for acute rejection, allograft survival, pharmacogenomics, and common transplant comorbidities. RECENT FINDINGS Genetic studies of kidney transplantation outcomes have begun to address the question of genetic compatibility beyond human leukocyte antigens, including the role of genome-wide mismatches in missense variants, and the 'genomic collision' hypothesis under which the risk of rejection may be increased in recipients homozygous for loss-of-function variants with grafts from nonhomozygous donors. In recent pilot studies, missense mismatch scores for transmembrane and secreted proteins were associated with antibodies against the mismatched peptides and reduced allograft survival. A 'genomic collision' at the LIMS1 locus involving a common deletion near LIMS1 gene was associated with anti-LIMS1 antibody response and increased risk of rejection. Additional genetic factors under active investigation include genome-wide polygenic risk scores for renal function and apolipoprotein L1 risk genotypes in African-American kidney donors. Due to the heterogeneity and complexity of clinical outcomes, new genome-wide association studies for rejection, allograft survival, and specific transplant comorbidities will require larger multicenter meta-analyses. SUMMARY Genetic compatibilities between donor and recipient represent an important determinant of rejection and long-term allograft survival. Genetic background of transplant donors may be additionally predictive of allograft function, while recipient's genomes are likely determinant of a wide range of transplantation outcomes, from rejection susceptibility to pharmacogenetics and various comorbidities related to prolonged immunosuppression.
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van Gelder T, Meziyerh S, Swen JJ, de Vries APJ, Moes DJAR. The Clinical Impact of the C 0/D Ratio and the CYP3A5 Genotype on Outcome in Tacrolimus Treated Kidney Transplant Recipients. Front Pharmacol 2020; 11:1142. [PMID: 32848756 PMCID: PMC7411304 DOI: 10.3389/fphar.2020.01142] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 07/13/2020] [Indexed: 01/08/2023] Open
Abstract
Tacrolimus is metabolized by CYP3A4 and CYP3A5 enzymes. Patients expressing CYP3A5 (in Caucasian patients about 15% of the population but more frequent in African Americans and Asians) have a dose requirement that is around 50% higher than non-expressers to reach the target concentration. CYP3A5 expressers can be considered fast metabolizers. The trough concentration/dose (C0/D) ratio of tacrolimus has recently been proposed as a prognostic marker for poor outcome after kidney transplantation. Patients with a low C0/D ratio (also referred to as fast metabolizers) seem to have more tacrolimus-related nephrotoxicity, more BK-viremia, and a lower graft survival. At first sight, the expression of CYP3A5 and a low C0/D ratio seem to be overlapping factors, both pointing towards patients in whom a higher tacrolimus dose is needed to reach the tacrolimus target concentration. However, there are important differences, and these differences may explain why the impact of the C0/D ratio on long term outcome is stronger than for CYP3A5 genotype status. Patients with a low C0/D ratio require a high tacrolimus dose and are exposed to high tacrolimus peak concentrations. The higher peak exposure to tacrolimus (and/or its metabolites) may explain the higher incidence of nephrotoxicity, BK-viremia and graft loss. A potential confounder is the concurrent maintenance treatment of corticosteroids, as steroids are sometimes continued in patients at high immunological risk. Steroids induce the metabolism of tacrolimus via pregnane X receptor mediated increased CYP3A4 expression, resulting in lower tacrolimus C0/D ratio in high risk patients. Also non-adherence may result in lower C0/D ratio which is also associated with poor outcome. The C0/D ratio of tacrolimus does seem to identify a group of patients with increased risk of poor outcome after kidney transplantation. Our recommendation is to monitor tacrolimus peak concentrations in these patients, and if these are high then target slightly lower pre-dose concentrations. Another possibility would be to switch to a prolonged release formulation or to dose the drug more frequently, in smaller doses, to avoid high peak concentrations.
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Affiliation(s)
- Teun van Gelder
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, Netherlands
| | - Soufian Meziyerh
- Department of Internal Medicine, Division of Nephrology, Leiden University Medical Center, Leiden, Netherlands.,Leiden Transplant Center, Leiden University Medical Center, Leiden, Netherlands
| | - Jesse J Swen
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, Netherlands
| | - Aiko P J de Vries
- Department of Internal Medicine, Division of Nephrology, Leiden University Medical Center, Leiden, Netherlands.,Leiden Transplant Center, Leiden University Medical Center, Leiden, Netherlands
| | - Dirk Jan A R Moes
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, Netherlands
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de Andrade LGM, Tedesco-Silva H. Recycling of predictors used to estimate glomerular filtration rate: Insight into lateral collinearity. PLoS One 2020; 15:e0228842. [PMID: 32045449 PMCID: PMC7012427 DOI: 10.1371/journal.pone.0228842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Accepted: 01/23/2020] [Indexed: 11/18/2022] Open
Abstract
Background One overlooked problem in statistical analysis is lateral collinearity, a phenomenon that may occur when the outcome variable derives from the predictors. In nephrology this issue is seen with the use of estimated glomerular filtration rate (eGFR) as an outcome and age, sex, and ethnicity as predictors. In this study with simulated data, we aim to illustrate this problem. Methods We randomly generated unrelated data to estimate eGFR by common equations. Results Using simulated data, we show that age, gender, and ethnicity (recycled predictors variables) are statistically significantly correlated with eGFR in linear regression analysis. Whereas the initial obvious conclusion is that age, sex, and ethnicity are strong predictors of eGFR, more rigorous interpretation suggests that this is a byproduct of the mathematical model produced when deriving new predictors from another. Conclusion While statistical models have the ability to identify vertical collinearity (predictor-predictor), lateral collinearity (predictor-outcome) is seldom identified and discussed in statistical analysis. Therefore, caution is needed when interpreting the correlation between age, gender, and ethnicity with eGFR derived from regression analyses.
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