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Alaamery M, Alghamdi J, Massadeh S, Alsawaji M, Aljawini N, Albesher N, Alghamdi B, Almutairi M, Hejaili F, Alfadhel M, Baz B, Almuzzaini B, Almutairi AF, Abdullah M, Quintana FJ, Sayyari A. Analysis of chronic kidney disease patients by targeted next-generation sequencing identifies novel variants in kidney-related genes. Front Genet 2022; 13:886038. [PMID: 36035137 PMCID: PMC9407681 DOI: 10.3389/fgene.2022.886038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 06/29/2022] [Indexed: 11/13/2022] Open
Abstract
Despite the enormous economic and societal burden of chronic kidney disease (CKD), its pathogenesis remains elusive, impeding specific diagnosis and targeted therapy. Herein, we sought to elucidate the genetic causes of end-stage renal disease (ESRD) and identify genetic variants associated with CKD and related traits in Saudi kidney disease patients. We applied a genetic testing approach using a targeted next-generation sequencing gene panel including 102 genes causative or associated with CKD. A total of 1,098 Saudi participants were recruited for the study, including 534 patients with ESRD and 564 healthy controls. The pre-validated NGS panel was utilized to screen for genetic variants, and then, statistical analysis was conducted to test for associations. The NGS panel revealed 7,225 variants in 102 sequenced genes. Cases had a significantly higher number of confirmed pathogenic variants as classified by the ClinVar database than controls (i.e., individuals with at least one allele of a confirmed pathogenic variant that is associated with CKD; 279 (0.52) vs. 258 (0.45); p-value = 0.03). A total of 13 genetic variants were found to be significantly associated with ESRD in PLCE1, CLCN5, ATP6V1B1, LAMB2, INVS, FRAS1, C5orf42, SLC12A3, COL4A6, SLC3A1, RET, WNK1, and BICC1, including four novel variants that were not previously reported in any other population. Furthermore, studies are necessary to validate these associations in a larger sample size and among individuals of different ethnic groups.
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Affiliation(s)
- Manal Alaamery
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard- Health Affairs, Riyadh, Saudi Arabia
- Saudi Human Genome Program, National Center for Genomic Technologies and Bioinformatics, King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia
- KACST-BWH Centre of Excellence for Biomedicine, Joint Centres of Excellence Program, King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia
- *Correspondence: Manal Alaamery, ; Abdullah Sayyari,
| | | | - Salam Massadeh
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard- Health Affairs, Riyadh, Saudi Arabia
- Saudi Human Genome Program, National Center for Genomic Technologies and Bioinformatics, King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia
- KACST-BWH Centre of Excellence for Biomedicine, Joint Centres of Excellence Program, King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia
| | - Mona Alsawaji
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard- Health Affairs, Riyadh, Saudi Arabia
| | - Nora Aljawini
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard- Health Affairs, Riyadh, Saudi Arabia
- Saudi Human Genome Program, National Center for Genomic Technologies and Bioinformatics, King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia
- KACST-BWH Centre of Excellence for Biomedicine, Joint Centres of Excellence Program, King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia
| | - Nour Albesher
- KACST-BWH Centre of Excellence for Biomedicine, Joint Centres of Excellence Program, King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia
- Department of Biological Sciences, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Bader Alghamdi
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard- Health Affairs, Riyadh, Saudi Arabia
| | - Mansour Almutairi
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard- Health Affairs, Riyadh, Saudi Arabia
| | - Fayez Hejaili
- Department of Internal Medicine, Division of Nephrology, King Abdulaziz Medical City, Ministry of National Guard- Health Affairs, Riyadh, Saudi Arabia
- King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Majid Alfadhel
- Medical Genomics Research Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard- Health Affairs, Riyadh, Saudi Arabia
| | - Batoul Baz
- Saudi Human Genome Program, National Center for Genomic Technologies and Bioinformatics, King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia
| | - Bader Almuzzaini
- Medical Genomics Research Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard- Health Affairs, Riyadh, Saudi Arabia
| | - Adel F. Almutairi
- Science and Technology Unit, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard- Health Affairs, Riyadh, Saudi Arabia
| | - Mubarak Abdullah
- Department of Medicine, Ministry of the National Guard–Health Affairs, Riyadh, Saudi Arabia
| | - Francisco J. Quintana
- Ann Romney Center for Neurologic Diseases, Brigham and Women’s Hospital, Harvard Medical School, Broad Institute of MIT and Harvard, Boston, MA, United States
| | - Abdullah Sayyari
- King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- Department of Medicine, Ministry of the National Guard–Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
- *Correspondence: Manal Alaamery, ; Abdullah Sayyari,
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Claussnitzer M, Susztak K. Gaining insight into metabolic diseases from human genetic discoveries. Trends Genet 2021; 37:1081-1094. [PMID: 34315631 PMCID: PMC8578350 DOI: 10.1016/j.tig.2021.07.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 06/29/2021] [Accepted: 07/05/2021] [Indexed: 12/30/2022]
Abstract
Human large-scale genetic association studies have identified sequence variations at thousands of genetic risk loci that are more common in patients with diverse metabolic disease compared with healthy controls. While these genetic associations have been replicated in multiple large cohorts and sometimes can explain up to 50% of heritability, the molecular and cellular mechanisms affected by common genetic variation associated with metabolic disease remains mostly unknown. A variety of new genome-wide data types, in conjunction with novel biostatistical and computational analytical methodologies and foundational experimental technologies, are paving the way for a principled approach to systematic variant-to-function (V2F) studies for metabolic diseases, turning associated regions into causal variants, cell types and states of action, effector genes, and cellular and physiological mechanisms. Identification of new target genes and cellular programs for metabolic risk loci will improve mechanistic understanding of disease biology and identification of novel therapeutic strategies.
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Affiliation(s)
- Melina Claussnitzer
- Beth Israel Deaconess Medical Center, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Katalin Susztak
- Department of Medicine and Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.
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Then C, Thorand B, Then HL, Meisinger C, Heier M, Peters A, Koenig W, Rathmann W, Bidlingmaier M, Lechner A, Reincke M, Scherberich JE, Seissler J. Serum uromodulin is inversely associated with arterial hypertension and the vasoconstrictive prohormone CT-proET-1 in the population-based KORA F4 study. PLoS One 2020; 15:e0237364. [PMID: 32764816 PMCID: PMC7413541 DOI: 10.1371/journal.pone.0237364] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 07/23/2020] [Indexed: 11/28/2022] Open
Abstract
Objectives Uromodulin has been associated with arterial hypertension in genome-wide association studies, but data from clinical and preclinical studies are inconsistent. We here analyzed the association of serum uromodulin (sUmod) with arterial hypertension and vasoactive hormones in a population-based study. Methods In 1108 participants of the KORA F4 study aged 62–81 years, sUmod was measured and the association of sUmod with arterial hypertension was assessed using logistic regression models. The associations of sUmod with renin and aldosterone and with the vasoconstrictive prohormone C-terminal pro-endothelin-1 (CT-proET-1) were analyzed in 1079 participants and in 618 participants, respectively, using linear regression models. Results After multivariable adjustment including sex, age, eGFR, BMI, fasting glucose, current smoking, previous stroke and myocardial infarction, sUmod was inversely associated with arterial hypertension (OR 0.78; 95% CI 0.68–0.91; p = 0.001). SUmod was not significantly associated with renin and aldosterone after adjustment for sex, age and eGFR. However, sUmod was inversely associated with CT-proET-1 (β -0.19 ± 0.04; p < 0.001) after adjustment for sex, age, eGFR, BMI, arterial hypertension, fasting glucose, current smoking, previous stroke and myocardial infarction. The association with CT-proET-1 was stronger in participants with hypertension (β -0.22 ± 0.04) than in normotensive participants (β -0.13 ± 0.06; p for interaction hypertension = 0.003 in the model adjusted for hypertension). Conclusions SUmod was inversely associated with arterial hypertension and the vasoconstrictive prohormone CT-proET-1, suggesting direct or indirect effects of sUmod on blood pressure regulation.
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Affiliation(s)
- Cornelia Then
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, LMU München, Munich, Germany
- Clinical Cooperation Group Diabetes, Ludwig-Maximilians-Universität München and Helmholtz Zentrum München, Munich, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- * E-mail:
| | - Barbara Thorand
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | | | - Christa Meisinger
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Chair of Epidemiology at UNIKAT Augsburg, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- KORA Study Centre, University Hospital Augsburg, Augsburg, Germany
| | - Annette Peters
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Wolfgang Koenig
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
| | - Wolfgang Rathmann
- German Diabetes Center, Leibniz Institute at Heinrich Heine University Düsseldorf, Institute of Biometrics and Epidemiology, Düsseldorf, Germany
| | - Martin Bidlingmaier
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, LMU München, Munich, Germany
| | - Andreas Lechner
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, LMU München, Munich, Germany
- Clinical Cooperation Group Diabetes, Ludwig-Maximilians-Universität München and Helmholtz Zentrum München, Munich, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Martin Reincke
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, LMU München, Munich, Germany
| | - Jürgen E. Scherberich
- Klinikum München-Harlaching, Teaching Hospital of the Ludwig-Maximilians-Universität, Munich, Germany
| | - Jochen Seissler
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, LMU München, Munich, Germany
- Clinical Cooperation Group Diabetes, Ludwig-Maximilians-Universität München and Helmholtz Zentrum München, Munich, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
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Belliere J, Faguer S, Huart A, Ribes D, Chassaing N, Roussel M, Chauveau D. UMOD genetic variations and myeloma cast nephropathy. Clin Kidney J 2019; 12:639-640. [PMID: 31583089 PMCID: PMC6768300 DOI: 10.1093/ckj/sfz071] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Indexed: 11/17/2022] Open
Affiliation(s)
- Julie Belliere
- Département de Néphrologie et Transplantation d’organes, Centre de référence des maladies rénales rares, Hôpital Rangueil, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
- INSERM U1048, Equipe 12 (Fibrose rénale), Institut des Maladies métaboliques et cardiovasculaires, Toulouse, France
- Université Paul Sabatier, Toulouse III, Toulouse, France
| | - Stanislas Faguer
- Département de Néphrologie et Transplantation d’organes, Centre de référence des maladies rénales rares, Hôpital Rangueil, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
- INSERM U1048, Equipe 12 (Fibrose rénale), Institut des Maladies métaboliques et cardiovasculaires, Toulouse, France
- Université Paul Sabatier, Toulouse III, Toulouse, France
| | - Antoine Huart
- Département de Néphrologie et Transplantation d’organes, Centre de référence des maladies rénales rares, Hôpital Rangueil, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - David Ribes
- Département de Néphrologie et Transplantation d’organes, Centre de référence des maladies rénales rares, Hôpital Rangueil, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Nicolas Chassaing
- Université Paul Sabatier, Toulouse III, Toulouse, France
- Service de Génétique Médicale, Hôpital Purpan, Centre Hospitalier Universitaire de Toulouse, France
| | - Murielle Roussel
- Service d'Hématologie, Institut Universitaire du Cancer de Toulouse Oncopôle, Toulouse, France
| | - Dominique Chauveau
- Département de Néphrologie et Transplantation d’organes, Centre de référence des maladies rénales rares, Hôpital Rangueil, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
- INSERM U1048, Equipe 12 (Fibrose rénale), Institut des Maladies métaboliques et cardiovasculaires, Toulouse, France
- Université Paul Sabatier, Toulouse III, Toulouse, France
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Cañadas-Garre M, Anderson K, Cappa R, Skelly R, Smyth LJ, McKnight AJ, Maxwell AP. Genetic Susceptibility to Chronic Kidney Disease - Some More Pieces for the Heritability Puzzle. Front Genet 2019; 10:453. [PMID: 31214239 PMCID: PMC6554557 DOI: 10.3389/fgene.2019.00453] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 04/30/2019] [Indexed: 12/12/2022] Open
Abstract
Chronic kidney disease (CKD) is a major global health problem with an increasing prevalence partly driven by aging population structure. Both genomic and environmental factors contribute to this complex heterogeneous disease. CKD heritability is estimated to be high (30-75%). Genome-wide association studies (GWAS) and GWAS meta-analyses have identified several genetic loci associated with CKD, including variants in UMOD, SHROOM3, solute carriers, and E3 ubiquitin ligases. However, these genetic markers do not account for all the susceptibility to CKD, and the causal pathways remain incompletely understood; other factors must be contributing to the missing heritability. Less investigated biological factors such as telomere length; mitochondrial proteins, encoded by nuclear genes or specific mitochondrial DNA (mtDNA) encoded genes; structural variants, such as copy number variants (CNVs), insertions, deletions, inversions and translocations are poorly covered and may explain some of the missing heritability. The sex chromosomes, often excluded from GWAS studies, may also help explain gender imbalances in CKD. In this review, we outline recent findings on molecular biomarkers for CKD (telomeres, CNVs, mtDNA variants, sex chromosomes) that typically have received less attention than gene polymorphisms. Shorter telomere length has been associated with renal dysfunction and CKD progression, however, most publications report small numbers of subjects with conflicting findings. CNVs have been linked to congenital anomalies of the kidney and urinary tract, posterior urethral valves, nephronophthisis and immunoglobulin A nephropathy. Information on mtDNA biomarkers for CKD comes primarily from case reports, therefore the data are scarce and diverse. The most consistent finding is the A3243G mutation in the MT-TL1 gene, mainly associated with focal segmental glomerulosclerosis. Only one GWAS has found associations between X-chromosome and renal function (rs12845465 and rs5987107). No loci in the Y-chromosome have reached genome-wide significance. In conclusion, despite the efforts to find the genetic basis of CKD, it remains challenging to explain all of the heritability with currently available methods and datasets. Although additional biomarkers have been investigated in less common suspects such as telomeres, CNVs, mtDNA and sex chromosomes, hidden heritability in CKD remains elusive, and more comprehensive approaches, particularly through the integration of multiple -"omics" data, are needed.
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Affiliation(s)
- Marisa Cañadas-Garre
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
| | - Kerry Anderson
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
| | - Ruaidhri Cappa
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
| | - Ryan Skelly
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
| | - Laura Jane Smyth
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
| | - Amy Jayne McKnight
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
| | - Alexander Peter Maxwell
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
- Regional Nephrology Unit, Belfast City Hospital, Belfast, United Kingdom
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Reischer T, Balendran-Braun S, Liebmann-Reindl S, Streubel B, Umek W, Koelbl H, Koch M. Genetic association in female stress urinary incontinence based on proteomic findings: a case-control study. Int Urogynecol J 2019; 31:117-122. [PMID: 30715578 PMCID: PMC6949200 DOI: 10.1007/s00192-019-03878-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 01/14/2019] [Indexed: 12/13/2022]
Abstract
Introduction and hypothesis Previous studies have indicated a hereditary component of stress urinary incontinence; however, evidence on candidate genes or single-nucleotide polymorphisms (SNPs) is scarce. We hypothesize a genetic association of female stress urinary incontinence based on significant differences of the urinary and serum proteomic pattern in the identical study population. Methods Case-control study of 19 patients and 19 controls. We searched for known SNPs of SUI candidate genes (COL1A1, MMP1, SERPINA5, UMOD) in the database of short genetic variations and PubMed. Genomic DNA was isolated using QIAamp DNA Blood Midi Kit (Qiagen). We performed Sanger sequencing of selected exons and introns. Results The rs885786 SNP of the SERPINA5 gene was identified in 15 cases and 10 controls (p = 0.09). The rs6113 SNP of the SERPINA5 gene was present in 4 controls compared to 0 cases (p = 0.105). The rs4293393, rs13333226 and rs13335818 SNPs of the UMOD gene were identified in five cases and two controls (p = 0.20), the rs1800012 SNP of the COL1A1 gene in five cases versus four controls (p = 0.24) and the homozygous rs1799750 SNP of the MMP1 gene in eight cases versus five controls (p = 0.18). The combination of the rs885786 SNP of the SERPINA5 gene and rs179970 SNP of the MMP1 gene was detected in ten cases versus five controls (p = 0.072). Conclusions We found nonsignificant trends toward associations of SNPs on the SERPINA5, UMOD and MMP1 gene and SUI. Electronic supplementary material The online version of this article (10.1007/s00192-019-03878-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Theresa Reischer
- Department of Obstetrics and Gynecology, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria
| | | | | | - Berthold Streubel
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Umek
- Department of Obstetrics and Gynecology, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.,Karl Landsteiner Institut fuer Spezielle Gynaekologie und Geburtshilfe, Vienna, Austria
| | - Heinz Koelbl
- Department of Obstetrics and Gynecology, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria
| | - Marianne Koch
- Department of Obstetrics and Gynecology, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria. .,Karl Landsteiner Institut fuer Spezielle Gynaekologie und Geburtshilfe, Vienna, Austria.
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Graham LA, Aman A, Campbell DD, Augley J, Graham D, McBride MW, Fraser NJ, Ferreri NR, Dominiczak AF, Padmanabhan S. Salt stress in the renal tubules is linked to TAL-specific expression of uromodulin and an upregulation of heat shock genes. Physiol Genomics 2018; 50:964-972. [PMID: 30216136 PMCID: PMC6293113 DOI: 10.1152/physiolgenomics.00057.2018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 08/20/2018] [Accepted: 09/12/2018] [Indexed: 12/15/2022] Open
Abstract
Previously, our comprehensive cardiovascular characterization study validated Uromodulin as a blood pressure gene. Uromodulin is a glycoprotein exclusively synthesized at the thick ascending limb of the loop of Henle and is encoded by the Umod gene. Umod-/- mice have significantly lower blood pressure than Umod+/+ mice, are resistant to salt-induced changes in blood pressure, and show a leftward shift in pressure-natriuresis curves reflecting changes of sodium reabsorption. Salt stress triggers transcription factors and genes that alter renal sodium reabsorption. To date there are no studies on renal transcriptome responses to salt stress. Here we aimed use RNA-Seq to delineate salt stress pathways in tubules isolated from Umod+/+ mice (a model of sodium retention) and Umod-/- mice (a model of sodium depletion) ± 300 mosmol sodium chloride ( n = 3 per group). In response to salt stress, the tubules of Umod+/+ mice displayed an upregulation of heat shock transcripts. The greatest changes occurred in the expression of: Hspa1a (Log2 fold change 4.35, P = 2.48 e-12) and Hspa1b (Log2 fold change 4.05, P = 2.48 e-12). This response was absent in tubules of Umod-/- mice. Interestingly, seven of the genes discordantly expressed in the Umod-/- tubules were electrolyte transporters. Our results are the first to show that salt stress in renal tubules alters the transcriptome, increasing the expression of heat shock genes. This direction of effect in Umod+/+ tubules suggest the difference is due to the presence of Umod facilitating greater sodium entry into the tubule cell reflecting a specific response to salt stress.
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Affiliation(s)
- Lesley A Graham
- The British Heart Foundation Centre of Excellence, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary, and Life Sciences, University of Glasgow , Glasgow , United Kingdom
| | - Alisha Aman
- The British Heart Foundation Centre of Excellence, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary, and Life Sciences, University of Glasgow , Glasgow , United Kingdom
| | - Desmond D Campbell
- The British Heart Foundation Centre of Excellence, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary, and Life Sciences, University of Glasgow , Glasgow , United Kingdom
| | - Julian Augley
- Wolfson Wohl Cancer Research Centre, Glasgow Polyomics, University of Glasgow, Bearsden, United Kingdom
| | - Delyth Graham
- The British Heart Foundation Centre of Excellence, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary, and Life Sciences, University of Glasgow , Glasgow , United Kingdom
| | - Martin W McBride
- The British Heart Foundation Centre of Excellence, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary, and Life Sciences, University of Glasgow , Glasgow , United Kingdom
| | - Niall J Fraser
- University of Dundee, Ninewells Hospital , Dundee , United Kingdom
| | - Nicholas R Ferreri
- Department of Pharmacology, New York Medical College, Valhalla, New York
| | - Anna F Dominiczak
- The British Heart Foundation Centre of Excellence, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary, and Life Sciences, University of Glasgow , Glasgow , United Kingdom
| | - Sandosh Padmanabhan
- The British Heart Foundation Centre of Excellence, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary, and Life Sciences, University of Glasgow , Glasgow , United Kingdom
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Uromodulin associates with cardiorenal function in patients with hypertension and cardiovascular disease. J Hypertens 2018; 35:2053-2058. [PMID: 28598953 DOI: 10.1097/hjh.0000000000001432] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Common genetic variants in the gene encoding uromodulin (UMOD) have been associated with renal function, blood pressure (BP) and hypertension. We investigated the associations between an important single nucleotide polymorphism (SNP) in UMOD, that is rs12917707-G>T, and estimated glomerular filtration rate (eGFR), BP and cardiac organ damage as determined by echocardiography in patients with arterial hypertension. METHODS A cohort of 1218 treated high-risk patients (mean age 58.5 years, 83% men) with documented cardiovascular disease (81% with coronary heart disease) was analysed. RESULTS The mean values for 24-h SBP and DBP were 124.7 ± 14.7 and 73.9 ± 9.4 mmHg; mean eGFR was 77.5 ± 18.3 ml/min per 1.73 m, mean left ventricular ejection fraction was 59.3 ± 9.9% and mean left ventricular mass index in men and women was 53.9 ± 23.2 and 54.9 ± 23.7 g/m with 50.4% of patients having left ventricular hypertrophy. A significant association between rs12917707 and eGFR was observed with T-allele carriers showing significantly higher eGFR values (+2.6 ml/min per 1.73 m, P = 0.006) than noncarriers. This SNP associated also with left atrial diameter (P = 0.007); homozygous carriers of the T-allele had smaller left atrial diameter (-1.5 mm) than other genotype groups (P = 0.040). No significant associations between rs12917707 and other cardiac or BP phenotypes were observed. CONCLUSIONS These findings extend the previously documented role of UMOD for renal function also to treated high-risk patients with arterial hypertension and reveal a novel association with left atrial remodelling and thus a potential cardiorenal link modulated by UMOD.
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Johnson BG, Dang LT, Marsh G, Roach AM, Levine ZG, Monti A, Reyon D, Feigenbaum L, Duffield JS. Uromodulin p.Cys147Trp mutation drives kidney disease by activating ER stress and apoptosis. J Clin Invest 2017; 127:3954-3969. [PMID: 28990932 DOI: 10.1172/jci93817] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Accepted: 08/24/2017] [Indexed: 12/13/2022] Open
Abstract
Uromodulin-associated kidney disease (UAKD) is caused by mutations in the uromodulin (UMOD) gene that result in a misfolded form of UMOD protein, which is normally secreted by nephrons. In UAKD patients, mutant UMOD is poorly secreted and accumulates in the ER of distal kidney epithelium, but its role in disease progression is largely unknown. Here, we modeled UMOD accumulation in mice by expressing the murine equivalent of the human UMOD p.Cys148Trp point mutation (UmodC147W/+ mice). Like affected humans, these UmodC147W/+ mice developed spontaneous and progressive kidney disease with organ failure over 24 weeks. Analysis of diseased kidneys and purified UMOD-producing cells revealed early activation of the PKR-like ER kinase/activating transcription factor 4 (PERK/ATF4) ER stress pathway, innate immune mediators, and increased apoptotic signaling, including caspase-3 activation. Unexpectedly, we also detected autophagy deficiency. Human cells expressing UMOD p.Cys147Trp recapitulated the findings in UmodC147W/+ mice, and autophagy activation with mTOR inhibitors stimulated the intracellular removal of aggregated mutant UMOD. Human cells producing mutant UMOD were susceptible to TNF-α- and TRAIL-mediated apoptosis due to increased expression of the ER stress mediator tribbles-3. Blocking TNF-α in vivo with the soluble recombinant fusion protein TNFR:Fc slowed disease progression in UmodC147W/+ mice by reducing active caspase-3, thereby preventing tubule cell death and loss of epithelial function. These findings reveal a targetable mechanism for disease processes involved in UAKD.
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Affiliation(s)
- Bryce G Johnson
- Research and Development, Biogen, Cambridge, Massachusetts, USA.,Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Lan T Dang
- Research and Development, Biogen, Cambridge, Massachusetts, USA
| | - Graham Marsh
- Research and Development, Biogen, Cambridge, Massachusetts, USA
| | - Allie M Roach
- Research and Development, Biogen, Cambridge, Massachusetts, USA.,Department of Medicine, University of Washington, Seattle, Washington, USA
| | | | - Anthony Monti
- Research and Development, Biogen, Cambridge, Massachusetts, USA
| | - Deepak Reyon
- Research and Development, Biogen, Cambridge, Massachusetts, USA
| | | | - Jeremy S Duffield
- Research and Development, Biogen, Cambridge, Massachusetts, USA.,Department of Medicine, University of Washington, Seattle, Washington, USA.,Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
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10
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Rekhtina IG, Mendeleeva LP, Biderman BV, Solovyev MV, Sudarikov AB. [Uromodulin gene polymorphisms in patients with cast nephropathy in multiple myeloma]. TERAPEVT ARKH 2017; 89:68-71. [PMID: 28914853 DOI: 10.17116/terarkh201789868-71] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
AIM To investigate the nature of mutations in exons 4 and 5 of the uromodulin (UM) gene, including in the area encoding the domain of 8 cysteines (D8C), in patients with multiple myeloma (MM) with the secretion of monoclonal light chains (LC) in cast nephropathy (CN) and without kidney injury. SUBJECTS AND METHODS The investigation enrolled 24 patients in MM remission, who were observed to have monoclonal LC secretion at onset. Group 1 included 14 patients with CN; Group 2 consisted of 10 patients with normal renal function (a comparison group). The compared groups did not differ in the number of serum and urinary monoclonal LCs. Genomic DNA was extracted from the peripheral blood samples of patients. The nucleotide sequence of exons 4 and 5 of the UM gene was determined by the Sanger method. RESULTS No differences were found in the frequency of polymorphisms depending on the severity of kidney injury. The missense mutation p.142R>R/Q in the UM gene, which had not been previously described, was discovered. CONCLUSION The patients with MM were not found to have statistically significant differences in the frequency and nature of polymorphisms of exons 4 and 5 in the UM gene, including in the area encoding D8C, in CN without kidney injury.
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Affiliation(s)
- I G Rekhtina
- National Research Center for Hematology, Ministry of Health of Russia, Moscow, Russia
| | - L P Mendeleeva
- National Research Center for Hematology, Ministry of Health of Russia, Moscow, Russia
| | - B V Biderman
- National Research Center for Hematology, Ministry of Health of Russia, Moscow, Russia
| | - M V Solovyev
- National Research Center for Hematology, Ministry of Health of Russia, Moscow, Russia
| | - A B Sudarikov
- National Research Center for Hematology, Ministry of Health of Russia, Moscow, Russia
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11
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Urinary glycated uromodulin in diabetic kidney disease. Clin Sci (Lond) 2017; 131:1815-1829. [DOI: 10.1042/cs20160978] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 05/22/2017] [Accepted: 06/07/2017] [Indexed: 12/22/2022]
Abstract
Advanced glycation end-products (AGEs) form during oxidative stress, which is increased in diabetes mellitus (DM). Uromodulin is a protein with a renal protective effect, and may be subject to glycation. The implications of uromodulin glycation and AGEs in the urine are not understood. Here, immunoprecipitation and liquid chromatography–mass spectrometry identified glycated uromodulin (glcUMOD) in the urine of 62.5% of patients with diabetic kidney disease (DKD), 20.0% of patients with non-diabetic chronic kidney disease (CKD), and no DM patients with normal renal function or healthy control participants; a finding replicated in a larger cohort of 84 patients with CKD in a case–control study (35 with DM, 49 without). Uromodulin forms high molecular weight polymers that associate with microvesicles and exosomes. Differential centrifugation identified uromodulin in the supernatant, microvesicles, and exosomes of the urine of healthy participants, but only in the supernatant of samples from patients with DKD, suggesting that glycation influences uromodulin function. Finally, the diagnostic and prognostic utility of measuring urinary glcUMOD concentration was examined. Urinary glcUMOD concentration was substantially higher in DKD patients than non-diabetic CKD patients. Urinary glcUMOD concentration predicted DKD status, particularly in patients with CKD stages 1–3a aged <65 years and with urine glcUMOD concentration ≥9,000 arbitrary units (AU). Urinary uromodulin is apparently glycated in DKD and forms AGEs, and glcUMOD may serve as a biomarker for DKD.
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12
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Bailie C, Kilner J, Maxwell AP, McKnight AJ. Development of next generation sequencing panel for UMOD and association with kidney disease. PLoS One 2017; 12:e0178321. [PMID: 28609449 PMCID: PMC5469457 DOI: 10.1371/journal.pone.0178321] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2016] [Accepted: 05/11/2017] [Indexed: 11/19/2022] Open
Abstract
Chronic kidney disease (CKD) has a prevalence of approximately 10% in adult populations. CKD can progress to end-stage renal disease (ESRD) and this is usually fatal unless some form of renal replacement therapy (chronic dialysis or renal transplantation) is provided. There is an inherited predisposition to CKD with several genetic risk markers now identified. The UMOD gene has been associated with CKD of varying aetiologies. An AmpliSeq next generation sequencing panel was developed to facilitate comprehensive sequencing of the UMOD gene, covering exonic and regulatory regions. SNPs and CpG sites in the genomic region encompassing UMOD were evaluated for association with CKD in two studies; the UK Wellcome Trust Case-Control 3 Renal Transplant Dysfunction Study (n = 1088) and UK-ROI GENIE GWAS (n = 1726). A technological comparison of two Ion Torrent machines revealed 100% allele call concordance between S5 XL™ and PGM™ machines. One SNP (rs183962941), located in a non-coding region of UMOD, was nominally associated with ESRD (p = 0.008). No association was identified between UMOD variants and estimated glomerular filtration rate. Analysis of methylation data for over 480,000 CpG sites revealed differential methylation patterns within UMOD, the most significant of these was cg03140788 p = 3.7 x 10-10.
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Affiliation(s)
- Caitlin Bailie
- Nephrology Research, Centre for Public Health, Queen’s University of Belfast, Belfast City Hospital, Belfast, Northern Ireland
| | - Jill Kilner
- Nephrology Research, Centre for Public Health, Queen’s University of Belfast, Belfast City Hospital, Belfast, Northern Ireland
| | - Alexander P. Maxwell
- Nephrology Research, Centre for Public Health, Queen’s University of Belfast, Belfast City Hospital, Belfast, Northern Ireland
| | - Amy Jayne McKnight
- Nephrology Research, Centre for Public Health, Queen’s University of Belfast, Belfast City Hospital, Belfast, Northern Ireland
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13
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Wuttke M, Köttgen A. Insights into kidney diseases from genome-wide association studies. Nat Rev Nephrol 2016; 12:549-62. [PMID: 27477491 DOI: 10.1038/nrneph.2016.107] [Citation(s) in RCA: 75] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Over the past decade, genome-wide association studies (GWAS) have considerably improved our understanding of the genetic basis of kidney function and disease. Population-based studies, used to investigate traits that define chronic kidney disease (CKD), have identified >50 genomic regions in which common genetic variants associate with estimated glomerular filtration rate or urinary albumin-to-creatinine ratio. Case-control studies, used to study specific CKD aetiologies, have yielded risk loci for specific kidney diseases such as IgA nephropathy and membranous nephropathy. In this Review, we summarize important findings from GWAS and clinical and experimental follow-up studies. We also compare risk allele frequency, effect sizes, and specificity in GWAS of CKD-defining traits and GWAS of specific CKD aetiologies and the implications for study design. Genomic regions identified in GWAS of CKD-defining traits can contain causal genes for monogenic kidney diseases. Population-based research on kidney function traits can therefore generate insights into more severe forms of kidney diseases. Experimental follow-up studies have begun to identify causal genes and variants, which are potential therapeutic targets, and suggest mechanisms underlying the high allele frequency of causal variants. GWAS are thus a useful approach to advance knowledge in nephrology.
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Affiliation(s)
- Matthias Wuttke
- Division of Genetic Epidemiology, Institute for Medical Biometry and Statistics, Faculty of Medicine, and Medical Centre - University of Freiburg, Berliner Allee 29, 79110 Freiburg, Germany.,Department of Medicine IV, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany
| | - Anna Köttgen
- Division of Genetic Epidemiology, Institute for Medical Biometry and Statistics, Faculty of Medicine, and Medical Centre - University of Freiburg, Berliner Allee 29, 79110 Freiburg, Germany.,Department of Medicine IV, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, Maryland, USA
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14
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Ghirotto S, Tassi F, Barbujani G, Pattini L, Hayward C, Vollenweider P, Bochud M, Rampoldi L, Devuyst O. The Uromodulin Gene Locus Shows Evidence of Pathogen Adaptation through Human Evolution. J Am Soc Nephrol 2016; 27:2983-2996. [PMID: 26966016 DOI: 10.1681/asn.2015070830] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Accepted: 01/30/2016] [Indexed: 12/15/2022] Open
Abstract
Common variants in the UMOD gene encoding uromodulin, associated with risk of hypertension and CKD in the general population, increase UMOD expression and urinary excretion of uromodulin, causing salt-sensitive hypertension and renal lesions. To determine the effect of selective pressure on variant frequency, we investigated the allelic frequency of the lead UMOD variant rs4293393 in 156 human populations, in eight ancient human genomes, and in primate genomes. The T allele of rs4293393, associated with CKD risk, has high frequency in most modern populations and was the one detected in primate genomes. In contrast, we identified only the derived, C allele in Denisovan and Neanderthal genomes. The distribution of the UMOD ancestral allele did not follow the ancestral susceptibility model observed for variants associated with salt-sensitive hypertension. Instead, the global frequencies of the UMOD alleles significantly correlated with pathogen diversity (bacteria, helminths) and prevalence of antibiotic-resistant urinary tract infections (UTIs). The inverse correlation found between urinary levels of uromodulin and markers of UTIs in the general population substantiates the link between UMOD variants and protection against UTIs. These data strongly suggest that the UMOD ancestral allele, driving higher urinary excretion of uromodulin, has been kept at a high frequency because of its protective effect against UTIs.
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Affiliation(s)
- Silvia Ghirotto
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Francesca Tassi
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Guido Barbujani
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Linda Pattini
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Caroline Hayward
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Peter Vollenweider
- Department of Internal Medicine, Institute of Social and Preventive Medicine, Lausanne University Hospital Center, Lausanne, Switzerland
| | - Murielle Bochud
- Department of Internal Medicine, Institute of Social and Preventive Medicine, Lausanne University Hospital Center, Lausanne, Switzerland
| | - Luca Rampoldi
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy; and
| | - Olivier Devuyst
- Institute of Physiology, University of Zurich, Zurich, Switzerland
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15
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Pruijm M, Ponte B, Ackermann D, Paccaud F, Guessous I, Ehret G, Pechère-Bertschi A, Vogt B, Mohaupt MG, Martin PY, Youhanna SC, Nägele N, Vollenweider P, Waeber G, Burnier M, Devuyst O, Bochud M. Associations of Urinary Uromodulin with Clinical Characteristics and Markers of Tubular Function in the General Population. Clin J Am Soc Nephrol 2015; 11:70-80. [PMID: 26683888 DOI: 10.2215/cjn.04230415] [Citation(s) in RCA: 92] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Accepted: 09/15/2015] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND OBJECTIVES Allelic variants in UMOD, the gene coding for uromodulin, are associated with rare tubulointerstitial kidney disorders and risk of CKD and hypertension in the general population. The factors associated with uromodulin excretion in the normal population remain largely unknown, and were therefore explored in this study. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Urinary uromodulin excretion was measured using a validated ELISA in two population-based cohorts that included more than 6500 individuals. The Swiss Kidney Project on Genes in Hypertension study (SKIPOGH) included 817 adults (mean age±SD, 45±17 years) who underwent renal ultrasonography and performed a 24-hour urine collection. The Cohorte Lausannoise study included 5706 adults (mean age, 53±11 years) with fresh spot morning urine samples. We calculated eGFRs using the CKD-Epidemiology Collaboration formula and by 24-hour creatinine clearance. RESULTS In both studies, positive associations were found between uromodulin and urinary sodium, chloride, and potassium excretion and osmolality. In SKIPOGH, 24-hour uromodulin excretion (median, 41 [interquartile range, 29-57] mg/24 h) was positively associated with kidney length and volume and with creatinine excretion and urine volume. It was negatively associated with age and diabetes. Both spot uromodulin concentration and 24-hour uromodulin excretion were linearly and positively associated (multivariate analyses) with eGFR<90 ml/min per 1.73 m(2). CONCLUSION Age, creatinine excretion, diabetes, and urinary volume are independent clinical correlates of urinary uromodulin excretion. The associations of uromodulin excretion with markers of tubular functions and kidney dimensions suggest that it may reflect tubule activity in the general population.
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Affiliation(s)
- Menno Pruijm
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Belen Ponte
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Daniel Ackermann
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Fred Paccaud
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Idris Guessous
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Georg Ehret
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | | | - Bruno Vogt
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Markus G Mohaupt
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Pierre-Yves Martin
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Sonia C Youhanna
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Nadine Nägele
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Peter Vollenweider
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Gérard Waeber
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Michel Burnier
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material
| | - Olivier Devuyst
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material.
| | - Murielle Bochud
- Due to the number of contributing authors, the affiliations are provided in the Supplemental Material.
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16
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Next generation sequencing search for uromodulin gene variants related with impaired renal function. Mol Biol Rep 2015; 42:1353-8. [PMID: 26040415 DOI: 10.1007/s11033-015-3883-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2015] [Accepted: 06/01/2015] [Indexed: 10/23/2022]
Abstract
Uromodulin gene (UMOD) mutations have been linked to rare forms of mendelian dominant medullary cystic kidney disease and familial hyperuricemia. In addition, common single nucleotide polymorphisms in the UMOD promoter have been associated with the risk for impaired renal function and chronic kidney disease. Our main purpose was to identify UMOD variants related with impaired renal function in an elderly population. The UMOD gene was next generation sequenced in a total of 100 healthy individuals with normal or reduced renal function [measured as the rate of estimated glomerular filtration (eGFR)]. The identified missense changes and the common promoter rs12917707 polymorphism were determined in individuals with reduced (n = 88) and normal (n = 442) eGFR values. Allele and genotype frequencies were compared between the groups. We only identified a rare UMOD misense change, p.V458L, and the rare leu allele was significantly more frequent in a cohort of individuals with reduced (eGFR < 60) compared to normal eGFR (P = 0.02). The common rs12917707 polymorphism previously linked to renal function and kidney disease was not associated with impaired filtration rate in our cohort. We found a significant effect of the rare p.V458L variant on the value of estimated glomerular filtration. This finding deserves further validation in larger cohorts.
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17
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Padmanabhan S, Graham L, Ferreri NR, Graham D, McBride M, Dominiczak AF. Uromodulin, an Emerging Novel Pathway for Blood Pressure Regulation and Hypertension. Hypertension 2014; 64:918-23. [DOI: 10.1161/hypertensionaha.114.03132] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Sandosh Padmanabhan
- From the BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom (S.P., L.G., D.G., M.M., A.F.D.); and Department of Pharmacology, New York Medical College, Valhalla (N.R.F.)
| | - Lesley Graham
- From the BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom (S.P., L.G., D.G., M.M., A.F.D.); and Department of Pharmacology, New York Medical College, Valhalla (N.R.F.)
| | - Nicholas R. Ferreri
- From the BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom (S.P., L.G., D.G., M.M., A.F.D.); and Department of Pharmacology, New York Medical College, Valhalla (N.R.F.)
| | - Delyth Graham
- From the BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom (S.P., L.G., D.G., M.M., A.F.D.); and Department of Pharmacology, New York Medical College, Valhalla (N.R.F.)
| | - Martin McBride
- From the BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom (S.P., L.G., D.G., M.M., A.F.D.); and Department of Pharmacology, New York Medical College, Valhalla (N.R.F.)
| | - Anna F. Dominiczak
- From the BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom (S.P., L.G., D.G., M.M., A.F.D.); and Department of Pharmacology, New York Medical College, Valhalla (N.R.F.)
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18
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Scolari F, Izzi C, Ghiggeri GM. Uromodulin: from monogenic to multifactorial diseases: FIGURE 1:. Nephrol Dial Transplant 2014; 30:1250-6. [DOI: 10.1093/ndt/gfu300] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2014] [Accepted: 08/21/2014] [Indexed: 12/30/2022] Open
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19
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Olden M, Corre T, Hayward C, Toniolo D, Ulivi S, Gasparini P, Pistis G, Hwang SJ, Bergmann S, Campbell H, Cocca M, Gandin I, Girotto G, Glaudemans B, Hastie ND, Loffing J, Polasek O, Rampoldi L, Rudan I, Sala C, Traglia M, Vollenweider P, Vuckovic D, Youhanna S, Weber J, Wright AF, Kutalik Z, Bochud M, Fox CS, Devuyst O. Common variants in UMOD associate with urinary uromodulin levels: a meta-analysis. J Am Soc Nephrol 2014; 25:1869-82. [PMID: 24578125 DOI: 10.1681/asn.2013070781] [Citation(s) in RCA: 76] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Uromodulin is expressed exclusively in the thick ascending limb and is the most abundant protein excreted in normal urine. Variants in UMOD, which encodes uromodulin, are associated with renal function, and urinary uromodulin levels may be a biomarker for kidney disease. However, the genetic factors regulating uromodulin excretion are unknown. We conducted a meta-analysis of urinary uromodulin levels to identify associated common genetic variants in the general population. We included 10,884 individuals of European descent from three genetic isolates and three urban cohorts. Each study measured uromodulin indexed to creatinine and conducted linear regression analysis of approximately 2.5 million single nucleotide polymorphisms using an additive model. We also tested whether variants in genes expressed in the thick ascending limb associate with uromodulin levels. rs12917707, located near UMOD and previously associated with renal function and CKD, had the strongest association with urinary uromodulin levels (P<0.001). In all cohorts, carriers of a G allele of this variant had higher uromodulin levels than noncarriers did (geometric means 10.24, 14.05, and 17.67 μg/g creatinine for zero, one, or two copies of the G allele). rs12446492 in the adjacent gene PDILT (protein disulfide isomerase-like, testis expressed) also reached genome-wide significance (P<0.001). Regarding genes expressed in the thick ascending limb, variants in KCNJ1, SORL1, and CAB39 associated with urinary uromodulin levels. These data indicate that common variants in the UMOD promoter region may influence urinary uromodulin levels. They also provide insights into uromodulin biology and the association of UMOD variants with renal function.
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Affiliation(s)
- Matthias Olden
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Tanguy Corre
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Caroline Hayward
- Institute of Genetics and Molecular Medicine, Western General Hospital, and
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy; Institute of Molecular Genetics, National Research Council, Pavia, Italy
| | - Sheila Ulivi
- Institute for Maternal and Child Health, Burlo Garofolo Pediatric Institute Trieste, Italy
| | - Paolo Gasparini
- Institute for Maternal and Child Health, Burlo Garofolo Pediatric Institute Trieste, Italy; Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Giorgio Pistis
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts
| | - Sven Bergmann
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Harry Campbell
- Dulbecco Telethon Institute, San Raffaele Scientific Institute, Milan, Italy
| | - Massimiliano Cocca
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Ilaria Gandin
- Institute for Maternal and Child Health, Burlo Garofolo Pediatric Institute Trieste, Italy; Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Giorgia Girotto
- Institute for Maternal and Child Health, Burlo Garofolo Pediatric Institute Trieste, Italy; Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Bob Glaudemans
- Institute of Physiology, Zurich Center for Integrative Human Physiology, and
| | - Nicholas D Hastie
- Institute of Genetics and Molecular Medicine, Western General Hospital, and
| | | | - Ozren Polasek
- Department of Public Health, Faculty of Medicine, University of Split, Croatia
| | - Luca Rampoldi
- Dulbecco Telethon Institute, San Raffaele Scientific Institute, Milan, Italy
| | - Igor Rudan
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Michela Traglia
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | | | - Dragana Vuckovic
- Institute for Maternal and Child Health, Burlo Garofolo Pediatric Institute Trieste, Italy; Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Sonia Youhanna
- Institute of Physiology, Zurich Center for Integrative Human Physiology, and Division of Nephrology, Catholic University of Louvain Medical School, Brussels, Belgium
| | - Julien Weber
- Institute of Physiology, Zurich Center for Integrative Human Physiology, and Division of Nephrology, Catholic University of Louvain Medical School, Brussels, Belgium
| | - Alan F Wright
- Institute of Genetics and Molecular Medicine, Western General Hospital, and
| | - Zoltán Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland; Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland; and
| | - Murielle Bochud
- Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland; and
| | - Caroline S Fox
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Olivier Devuyst
- Institute of Physiology, Zurich Center for Integrative Human Physiology, and Division of Nephrology, Catholic University of Louvain Medical School, Brussels, Belgium;
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20
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Pani A, Bragg-Gresham J, Masala M, Piras D, Atzeni A, Pilia MG, Ferreli L, Balaci L, Curreli N, Delitala A, Loi F, Abecasis GR, Schlessinger D, Cucca F. Prevalence of CKD and its relationship to eGFR-related genetic loci and clinical risk factors in the SardiNIA study cohort. J Am Soc Nephrol 2014; 25:1533-44. [PMID: 24511125 DOI: 10.1681/asn.2013060591] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
The prevalence of CKD and of renal failure vary worldwide, yet parallel increases in leading risk factors explain only part of the differential prevalence. We measured CKD prevalence and eGFR, and their relationship with traditional and additional risk factors, in a Sardinian founder population cohort. The eGFR was calculated using equations from the CKD Epidemiology Collaboration and Modification of Diet in Renal Disease studies. With use of the Kidney Disease Improving Global Outcomes guidelines, a cross-sectional analysis of 4842 individuals showed that CKD prevalence was 15.1%, including 3.6% of patients in the high-risk and 0.46% in the very-high-risk categories. Longitudinal analyses performed on 4074 of these individuals who completed three visits with an average follow-up of 7 years revealed that, consistent with other populations, average eGFR slope was -0.79 ml/min per 1.73 m(2) per year, but 11.4% of the participants had an eGFR decline >2.3 ml/min per 1.73 m(2) per year (fast decline). A genetic score was generated from 13 reported eGFR- and CKD-related loci, and univariable and multivariable analyses were applied to assess the relationship between clinical, ultrasonographic, and genetic variables with three outcomes: CKD, change in eGFR, and fast eGFR decline. Genetic risk score, older age, and female sex independently correlated with each outcome. Diabetes was associated with CKD prevalence, whereas hypertension and hyperuricemia correlated more strongly with fast eGFR decline. Diabetes, hypertension, hyperuricemia, and high baseline eGFR were associated with a decline of eGFR. Along with differential health practices, population variations in this spectrum of risk factors probably contributes to the variable CKD prevalence worldwide.
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Affiliation(s)
- Antonello Pani
- Struttura complessa di Nefrologia e Dialisi, Azienda Ospedaliera "G. Brotzu", Cagliari, Italy;
| | | | - Marco Masala
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy
| | - Doloretta Piras
- Struttura complessa di Nefrologia e Dialisi, Azienda Ospedaliera "G. Brotzu", Cagliari, Italy
| | - Alice Atzeni
- Struttura complessa di Nefrologia e Dialisi, Azienda Ospedaliera "G. Brotzu", Cagliari, Italy
| | - Maria G Pilia
- Center ProgeNIA, Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Lanusei, Italy
| | - Liana Ferreli
- Center ProgeNIA, Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Lanusei, Italy
| | - Lenuta Balaci
- Center ProgeNIA, Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Lanusei, Italy
| | - Nicolò Curreli
- Center ProgeNIA, Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Lanusei, Italy
| | - Alessandro Delitala
- Center ProgeNIA, Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Lanusei, Italy
| | - Francesco Loi
- Center ProgeNIA, Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Lanusei, Italy
| | - Gonçalo R Abecasis
- Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan
| | - David Schlessinger
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland; and
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy; Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
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Witasp A, Ekström TJ, Lindholm B, Stenvinkel P, Schalling M, Nordfors L. Novel insights from genetic and epigenetic studies in understanding the complex uraemic phenotype. Nephrol Dial Transplant 2013; 29:964-71. [PMID: 24235077 DOI: 10.1093/ndt/gft428] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Like in many other common complex disorders, studies of chronic kidney disease (CKD) can now make use of the increasing knowledge of the human genome, its variations and impact on disease susceptibility, initiation, progression and complications. Such studies are facilitated by novel readily available high through-put genotyping methods and sophisticated analytical approaches to scan the genome for DNA variations and epigenetic modifications. Here, we review some of the recent discoveries that have emerged from these studies and expanded our knowledge of genetic risk loci and epigenetic markers in CKD pathophysiology. Obstacles and practical issues in this field are discussed.
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Affiliation(s)
- Anna Witasp
- Divisions of Renal Medicine and Baxter Novum, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
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Deshmukh HA, Palmer CNA, Morris AD, Colhoun HM. Investigation of known estimated glomerular filtration rate loci in patients with type 2 diabetes. Diabet Med 2013; 30:1230-5. [PMID: 23586973 PMCID: PMC4204276 DOI: 10.1111/dme.12211] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/10/2013] [Indexed: 01/06/2023]
Abstract
AIMS To replicate the association of genetic variants with estimated glomerular filtration rate (GFR) and albuminuria, which has been found in recent genome-wide studies in patients with Type 2 diabetes. METHODS We evaluated 16 candidate single nucleotide polymorphisms for estimated GFR in 3028 patients with Type 2 diabetes sampled from clinics across Tayside, Scotland, UK, who were included in the Genetics of Diabetes Audit and Research Tayside (GoDARTs) study. These single nucleotide polymorphisms were tested for their association with estimated GFR at entry to the study, with albuminuria, and with time to stage 3B chronic kidney disease (estimated GFR<45 ml/min/1.73 m(2)). We also stratified the effects on estimated GFR in patients with (n = 2096) and without albuminuria (n = 613). RESULTS rs1260326 in GCKR (β=1.30, P = 3.23E-03), rs17319721 in SHROOM3 (β = -1.28, P-value = 3.18E-03) and rs12917707 in UMOD (β = 2.0, P-value = 8.84E-04) were significantly associated with baseline estimated GFR. Analysis of effects on estimated GFR, stratified by albuminuria status, showed that in those without albuminuria (normoalbuminura; n = 613), UMOD had a significantly stronger effect on estimated GFR (β(normo) = 4.03 ± 1.23 vs β(albuminuria) = 1.72 ± 0.76, P = 0.002) compared with those with albuminuria, while GCKR (β(normo) = 0.45 ± 0.89 vs β(albuminuria) = 1.12 ± 0.55, P = 0.08) and SHROOM3 (β(normo) = -0.07 ± 0.89 vs β(albuminuria) = -1.43 ± 0.53, P = 0.003) had a stronger effect on estimated GFR in those with albuminuria. UMOD was also associated with a lower rate of transition to stage 3B chronic kidney disease (hazard ratio = 0.83[0.70, 0.99], P = 0.03). CONCLUSION The genetic variants that regulate estimated GFR in the general population tend to have similar effects in patients with Type 2 diabetes and in this latter population, it is important to adjust for albuminuria status while investigating the genetic determinants of renal function.
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Affiliation(s)
- H A Deshmukh
- Division of Population Health Sciences, University of DundeeDundee, UK
- Correspondence to: Harshal A. Deshmukh. E-mail:
| | - C N A Palmer
- Division of Cardiovascular and Diabetes Medicine, University of DundeeDundee, UK
| | - A D Morris
- Division of Cardiovascular and Diabetes Medicine, University of DundeeDundee, UK
| | - H M Colhoun
- Division of Population Health Sciences, University of DundeeDundee, UK
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