1
|
Feng W, Guan Z, Ying WZ, Xing D, Ying KE, Sanders PW. Matrix metalloproteinase-9 regulates afferent arteriolar remodeling and function in hypertension-induced kidney disease. Kidney Int 2023; 104:740-753. [PMID: 37423509 PMCID: PMC10854403 DOI: 10.1016/j.kint.2023.06.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 06/01/2023] [Accepted: 06/22/2023] [Indexed: 07/11/2023]
Abstract
This study tested if matrix metalloproteinase (MMP)-9 promoted microvascular pathology that initiates hypertensive (HT) kidney disease in salt-sensitive (SS) Dahl rats. SS rats lacking Mmp9 (Mmp9-/-) and littermate control SS rats were studied after one week on a normotensive 0.3% sodium chloride (Pre-HT SS and Pre-HT Mmp9-/-) or a hypertension-inducing diet containing 4.0% sodium chloride (HT SS and HT Mmp9-/-). Telemetry-monitored blood pressure of both the HT SS and HT Mmp9-/- rats increased and did not differ. Kidney microvessel transforming growth factor-beta 1 (Tgfb1) mRNA did not differ between Pre-HT SS and Pre-HT Mmp9-/- rats, but with hypertension and expression of Mmp9 and Tgfb1 increased in HT SS rats, along with phospho-Smad2 labeling of nuclei of vascular smooth muscle cells, and with peri-arteriolar fibronectin deposition. Loss of MMP-9 prevented hypertension-induced phenotypic transformation of microvascular smooth muscle cells and the expected increased microvascular expression of pro-inflammatory molecules. Loss of MMP-9 in vascular smooth muscle cells in vitro prevented cyclic strain-induced production of active TGF-β1 and phospho-Smad2/3 stimulation. Afferent arteriolar autoregulation was impaired in HT SS rats but not in HT Mmp9-/- rats or the HT SS rats treated with doxycycline, an MMP inhibitor. HT SS but not HT Mmp9-/- rats showed decreased glomerular Wilms Tumor 1 protein-positive cells (a marker of podocytes) along with increased urinary podocin and nephrin mRNA excretion, all indicative of glomerular damage. Thus, our findings support an active role for MMP-9 in a hypertension-induced kidney microvascular remodeling process that promotes glomerular epithelial cell injury in SS rats.
Collapse
Affiliation(s)
- Wenguang Feng
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Zhengrong Guan
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Wei-Zhong Ying
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Dongqi Xing
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Kai Er Ying
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Paul W Sanders
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA; Department of Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA; Birmingham Veterans Affairs Health Care System, Birmingham, Alabama, USA.
| |
Collapse
|
2
|
Thielemans R, Speeckaert R, Delrue C, De Bruyne S, Oyaert M, Speeckaert MM. Unveiling the Hidden Power of Uromodulin: A Promising Potential Biomarker for Kidney Diseases. Diagnostics (Basel) 2023; 13:3077. [PMID: 37835820 PMCID: PMC10572911 DOI: 10.3390/diagnostics13193077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/25/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
Uromodulin, also known as Tamm-Horsfall protein, represents the predominant urinary protein in healthy individuals. Over the years, studies have revealed compelling associations between urinary and serum concentrations of uromodulin and various parameters, encompassing kidney function, graft survival, cardiovascular disease, glucose metabolism, and overall mortality. Consequently, there has been a growing interest in uromodulin as a novel and effective biomarker with potential applications in diverse clinical settings. Reduced urinary uromodulin levels have been linked to an elevated risk of acute kidney injury (AKI) following cardiac surgery. In the context of chronic kidney disease (CKD) of different etiologies, urinary uromodulin levels tend to decrease significantly and are strongly correlated with variations in estimated glomerular filtration rate. The presence of uromodulin in the serum, attributable to basolateral epithelial cell leakage in the thick ascending limb, has been observed. This serum uromodulin level is closely associated with kidney function and histological severity, suggesting its potential as a biomarker capable of reflecting disease severity across a spectrum of kidney disorders. The UMOD gene has emerged as a prominent locus linked to kidney function parameters and CKD risk within the general population. Extensive research in multiple disciplines has underscored the biological significance of the top UMOD gene variants, which have also been associated with hypertension and kidney stones, thus highlighting the diverse and significant impact of uromodulin on kidney-related conditions. UMOD gene mutations are implicated in uromodulin-associated kidney disease, while polymorphisms in the UMOD gene show a significant association with CKD. In conclusion, uromodulin holds great promise as an informative biomarker, providing valuable insights into kidney function and disease progression in various clinical scenarios. The identification of UMOD gene variants further strengthens its relevance as a potential target for better understanding kidney-related pathologies and devising novel therapeutic strategies. Future investigations into the roles of uromodulin and regulatory mechanisms are likely to yield even more profound implications for kidney disease diagnosis, risk assessment, and management.
Collapse
Affiliation(s)
- Raïsa Thielemans
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (R.T.); (C.D.)
| | | | - Charlotte Delrue
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (R.T.); (C.D.)
| | - Sander De Bruyne
- Department of Laboratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium; (S.D.B.); (M.O.)
| | - Matthijs Oyaert
- Department of Laboratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium; (S.D.B.); (M.O.)
| | - Marijn M. Speeckaert
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (R.T.); (C.D.)
- Research Foundation Flanders, 1000 Brussels, Belgium
| |
Collapse
|
3
|
Garrett ME, Soldano KL, Erwin KN, Zhang Y, Gordeuk VR, Gladwin MT, Telen MJ, Ashley-Koch AE. Genome-wide meta-analysis identifies new candidate genes for sickle cell disease nephropathy. Blood Adv 2023; 7:4782-4793. [PMID: 36399516 PMCID: PMC10469559 DOI: 10.1182/bloodadvances.2022007451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 10/11/2022] [Accepted: 10/29/2022] [Indexed: 11/19/2022] Open
Abstract
Sickle cell disease nephropathy (SCDN), a common SCD complication, is strongly associated with mortality. Polygenic risk scores calculated from recent transethnic meta-analyses of urinary albumin-to-creatinine ratio and estimated glomerular filtration rate (eGFR) trended toward association with proteinuria and eGFR in SCD but the model fit was poor (R2 < 0.01), suggesting that there are likely unique genetic risk factors for SCDN. Therefore, we performed genome-wide association studies (GWAS) for 2 critical manifestations of SCDN, proteinuria and decreased eGFR, in 2 well-characterized adult SCD cohorts, representing, to the best of our knowledge, the largest SCDN sample to date. Meta-analysis identified 6 genome-wide significant associations (false discovery rate, q ≤ 0.05): 3 for proteinuria (CRYL1, VWF, and ADAMTS7) and 3 for eGFR (LRP1B, linc02288, and FPGT-TNNI3K/TNNI3K). These associations are independent of APOL1 risk and represent novel SCDN loci, many with evidence for regulatory function. Moreover, GWAS SNPs in CRYL1, VWF, ADAMTS7, and linc02288 are associated with gene expression in kidney and pathways important to both renal function and SCD biology, supporting the hypothesis that SCDN pathophysiology is distinct from other forms of kidney disease. Together, these findings provide new targets for functional follow-up that could be tested prospectively and potentially used to identify patients with SCD who are at risk, before onset of kidney dysfunction.
Collapse
Affiliation(s)
- Melanie E. Garrett
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
| | - Karen L. Soldano
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
| | - Kyle N. Erwin
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC
| | - Yingze Zhang
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | - Mark T. Gladwin
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Marilyn J. Telen
- Division of Hematology, Department of Medicine, Duke University Medical Center, Durham, NC
| | | |
Collapse
|
4
|
Kim JY, Chun SY, Lim H, Chang TI. Association between familial aggregation of chronic kidney disease and its incidence and progression. Sci Rep 2023; 13:5131. [PMID: 36991140 PMCID: PMC10060248 DOI: 10.1038/s41598-023-32362-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 03/27/2023] [Indexed: 03/31/2023] Open
Abstract
This study aimed to examine the association between familial aggregation of chronic kidney disease (CKD) and risk of CKD development and its progression. This nationwide family study comprised 881,453 cases with newly diagnosed CKD between 2004 and 2017 and 881,453 controls without CKD matched by age and sex, using data from the Korean National Health Insurance Service with linkage to the family tree database. The risks of CKD development and disease progression, defined as an incident end-stage renal disease (ESRD), were evaluated. The presence of any affected family member with CKD was associated with a significantly higher risk of CKD with adjusted ORs (95% CI) of 1.42 (1.38-1.45), 1.50 (1.46-1.55), 1.70 (1.64-1.77), and 1.30 (1.27-1.33) for individuals with affected parents, offspring, siblings, and spouses, respectively. In Cox models conducted on patients with predialysis CKD, risk of incident ESRD was significantly higher in those with affected family members with ESRD. The corresponding HRs (95% CI) were 1.10 (1.05-1.15), 1.38 (1.32-1.46), 1.57 (1.49-1.65), and 1.14 (1.08-1.19) for individuals listed above, respectively. Familial aggregation of CKD was strongly associated with a higher risk of CKD development and disease progression to ESRD.
Collapse
Affiliation(s)
- Jae Young Kim
- Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, 100 Ilsan-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do, 10444, Republic of Korea
- Department of Internal Medicine, Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sung-Youn Chun
- Research and Analysis Team, National Health Insurance Service Ilsan Hospital, Goyang-si, Gyeonggi-do, Republic of Korea
| | - Hyunsun Lim
- Research and Analysis Team, National Health Insurance Service Ilsan Hospital, Goyang-si, Gyeonggi-do, Republic of Korea
| | - Tae Ik Chang
- Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, 100 Ilsan-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do, 10444, Republic of Korea.
| |
Collapse
|
5
|
Yang F, Zhang X, Wang X, Xue Y, Liu X. The new oncogene transmembrane protein 60 is a potential therapeutic target in glioma. Front Genet 2023; 13:1029270. [PMID: 36744183 PMCID: PMC9895843 DOI: 10.3389/fgene.2022.1029270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 12/19/2022] [Indexed: 01/22/2023] Open
Abstract
Glioma is a malignant tumor with a high fatality rate, originating in the central nervous system. Even after standard treatment, the prognosis remains unsatisfactory, probably due to the lack of effective therapeutic targets. The family of transmembrane proteins (TMEM) is a large family of genes that encode proteins closely related to the malicious behavior of tumors. Thus, it is necessary to explore the molecular and clinical characteristics of newly identified oncogenes, such as transmembrane protein 60 (TMEM60), to develop effective treating options for glioma. We used bioinformatic methods and basic experiments to verify the expression of transmembrane protein 60 in gliomas and its relationship with 1p and 19q (1p19q) status, isocitrate dehydrogenase (IDH) status, patient prognosis, and immune cell infiltration using public databases and clinical samples. In addition, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to detect co-expressed genes. Thus, we inhibited the expression of transmembrane protein 60 to observe the proliferation and activity of glioma LN229 cells. We found transmembrane protein 60 was significantly upregulated in glioma compared with that in normal brain tissue at the mRNA. In the subgroups of World Health Organization high grade, isocitrate dehydrogenase wildtype, 1p and 19q non-codeletion, or isocitrate dehydrogenase wild combined with 1p and 19q non-codeletion, the expression of transmembrane protein 60 increased, and the prognosis of glioma patients worsened. In the transmembrane protein 60 high expression group, infiltration of immune cells and stromal cells in the tumor microenvironment increased, tumor purity decreased, and immune cells and pathways were activated. The immune cells mainly included regulatory T-cell, gamma delta T-cell, macrophages M0, neutrophils, and CD8+ T-cells. Overexpression of co-inhibitory receptors (CTLA4, PDL1 and CD96) may promote the increase of depletion of T-cell, thus losing the anti-tumor function in the transmembrane protein 60 high expression group. Finally, we found that transmembrane protein 60 silencing weakened the viability, proliferation, and colony formation of glioma LN229 cells. This is the 0 report on the abnormally high expression of transmembrane protein 60 in glioma and its related clinical features, such as tumor microenvironment, immune response, tumor heterogeneity, and patient prognosis. We also found that transmembrane protein 60 silencing weakened the proliferation and colony formation of glioma LN229 cells. Thus, the new oncogene transmembrane protein 60 might be an effective therapeutic target for the clinical treatment of glioma.
Collapse
|
6
|
Akwo EA, Chen HC, Liu G, Triozzi JL, Tao R, Yu Z, Chung CP, Giri A, Ikizler TA, Stein CM, Siew ED, Feng Q, Robinson-Cohen C, Hung AM. Phenome-Wide Association Study of UMOD Gene Variants and Differential Associations With Clinical Outcomes Across Populations in the Million Veteran Program a Multiethnic Biobank. Kidney Int Rep 2022; 7:1802-1818. [PMID: 35967117 PMCID: PMC9366371 DOI: 10.1016/j.ekir.2022.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 04/22/2022] [Accepted: 05/09/2022] [Indexed: 11/19/2022] Open
Abstract
Introduction Common variants in the UMOD gene are considered an evolutionary adaptation against urinary tract infections (UTIs) and have been implicated in kidney stone formation, chronic kidney disease (CKD), and hypertension. However, differences in UMOD variant-phenotype associations across population groups are unclear. Methods We tested associations between UMOD/PDILT variants and up to 1528 clinical diagnosis codes mapped to phenotype groups in the Million Veteran Program (MVP), using published phenome-wide association study (PheWAS) methodology. Associations were tested using logistic regression adjusted for age, sex, and 10 principal components of ancestry. Bonferroni correction for multiple comparisons was applied. Results Among 648,593 veterans, mean (SD) age was 62 (14) years; 9% were female, 19% Black, and 8% Hispanic. In White patients, the rs4293393 UMOD risk variant associated with increased uromodulin was associated with increased odds of CKD (odds ratio [OR]: 1.22, 95% CI: 1.20-1.24, P = 5.90 × 10-111), end-stage kidney disease (OR: 1.17, 95% CI: 1.11-1.24, P = 2.40 × 10-09), and hypertension (OR: 1.03, 95% CI: 1.05-1.05, P = 2.11 × 10-06) and significantly lower odds of UTIs (OR: 0.94, 95% CI: 0.92-0.96, P = 1.21 × 10-10) and kidney calculus (OR: 0.85, 95% CI: 0.83-0.86, P = 4.27 × 10-69). Similar findings were observed across UMOD/PDILT variants. The rs77924615 PDILT variant had stronger associations with acute cystitis in White female (OR: 0.73, 95% CI: 0.59-0.91, P = 4.98 × 10-03) versus male (OR: 0.99, 95% CI: 0.89-1.11, P = 8.80 × 10-01) (P interaction = 0.01) patients. In Black patients, the rs77924615 PDILT variant was significantly associated with pyelonephritis (OR: 0.65, 95% CI: 0.54-0.79, P = 1.05 × 10-05), whereas associations with UMOD promoter variants were attenuated. Conclusion Robust associations were observed between UMOD/PDILT variants linked with increased uromodulin expression and lower odds of UTIs and calculus and increased odds of CKD and hypertension. However, these associations varied significantly across ancestry groups and sex.
Collapse
Affiliation(s)
- Elvis A. Akwo
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Center for Kidney Disease, Nashville, Tennessee, USA
- VA Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Hua-Chang Chen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ge Liu
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jefferson L. Triozzi
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Genetics Institute, Nashville, Tennessee, USA
| | - Zhihong Yu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Cecilia P. Chung
- VA Tennessee Valley Healthcare System, Nashville, Tennessee, USA
- Vanderbilt Genetics Institute, Nashville, Tennessee, USA
- Division of Rheumatology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ayush Giri
- Vanderbilt Genetics Institute, Nashville, Tennessee, USA
- Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - T. Alp Ikizler
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Center for Kidney Disease, Nashville, Tennessee, USA
- VA Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - C. Michael Stein
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Edward D. Siew
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Center for Kidney Disease, Nashville, Tennessee, USA
- VA Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - QiPing Feng
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Cassianne Robinson-Cohen
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Center for Kidney Disease, Nashville, Tennessee, USA
- VA Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Adriana M. Hung
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Center for Kidney Disease, Nashville, Tennessee, USA
- VA Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - the VA Million Veteran Program12
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Center for Kidney Disease, Nashville, Tennessee, USA
- VA Tennessee Valley Healthcare System, Nashville, Tennessee, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Genetics Institute, Nashville, Tennessee, USA
- Division of Rheumatology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| |
Collapse
|
7
|
Systemic Effects of Tamm-Horsfall Protein in Kidney Disease. Semin Nephrol 2022; 42:151277. [PMID: 36411194 DOI: 10.1016/j.semnephrol.2022.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Tamm-Horsfall protein (THP) is produced exclusively by the kidney, where it is released into both the urine and the circulation. Although the primary form of circulating THP is nonpolymerizing, urinary THP exists as a mix of polymerizing and nonpolymerizing forms. Urinary THP has been shown to play roles in such disparate processes as prevention of urinary tract infections and kidney stone formation, along with the regulation of multiple ion channels within the kidney. The generation of THP knockout mouse models has allowed the investigation of these phenomena and shown a prospective role for circulating THP in ischemia-reperfusion acute kidney injury as well as sepsis. Recent studies have suggested that THP is protective in ischemic injury owing to its inhibition of oxidative stress via the calcium channel transient receptor potential cation channel, subfamily M, member 2 t(TRPM2), and protection in sepsis is at least partially due to THP's promotion of macrophage function.
Collapse
|
8
|
Franceschini N, Le TH. Urine Uromodulin and Genetics of its Variation. J Am Soc Nephrol 2022; 33:461-462. [PMID: 35228296 PMCID: PMC8975060 DOI: 10.1681/asn.2022010027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Affiliation(s)
- Nora Franceschini
- Gillings School of Global Public Health, Chapel Hill, North Carolina
| | - Thu H. Le
- Division of Nephrology, University of Rochester Medical Center, Rochester, New York
| |
Collapse
|
9
|
Jiao H, Zhang M, Zhang Y, Wang Y, Li WD. Pathway Association Studies Reveal Gene Loci and Pathway Networks that Associated With Plasma Cystatin C Levels. Front Genet 2021; 12:711155. [PMID: 34899825 PMCID: PMC8656399 DOI: 10.3389/fgene.2021.711155] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 11/09/2021] [Indexed: 01/09/2023] Open
Abstract
As a marker for glomerular filtration, plasma cystatin C level is used to evaluate kidney function. To decipher genetic factors that control the plasma cystatin C level, we performed genome-wide association and pathway association studies using United Kingdom Biobank data. One hundred fifteen loci yielded p values less than 1 × 10−100, three genes (clusters) showed the most significant associations, including the CST8-CST9 cluster on chromosome 20, the SH2B3-ATXN2 gene region on chromosome 12, and the SHROOM3-CCDC158 gene region on chromosome 4. In pathway association studies, forty significant pathways had FDR (false discovery rate) and or FWER (family-wise error rate) ≤ 0.001: spermatogenesis, leukocyte trans-endothelial migration, cell adhesion, glycoprotein, membrane lipid, steroid metabolic process, and insulin signaling pathways were among the most significant pathways that associated with the plasma cystatin C levels. We also performed Genome-wide association studies for eGFR, top associated genes were largely overlapped with those for cystatin C.
Collapse
Affiliation(s)
- Hongxiao Jiao
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Miaomiao Zhang
- Department of Genetics, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Yuan Zhang
- Department of Genetics, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.,College of Public Health, Tianjin Medical University, Tianjin, China
| | - Yaogang Wang
- College of Public Health, Tianjin Medical University, Tianjin, China
| | - Wei-Dong Li
- Department of Genetics, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| |
Collapse
|
10
|
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: 5] [Impact Index Per Article: 1.7] [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.
Collapse
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.
| |
Collapse
|
11
|
Abstract
Uromodulin, a protein exclusively produced by the kidney, is the most abundant urinary protein in physiological conditions. Already described several decades ago, uromodulin has gained the spotlight in recent years, since the discovery that mutations in its encoding gene UMOD cause a renal Mendelian disease (autosomal dominant tubulointerstitial kidney disease) and that common polymorphisms are associated with multifactorial disorders, such as chronic kidney disease, hypertension, and cardiovascular diseases. Moreover, variations in uromodulin levels in urine and/or blood reflect kidney functioning mass and are of prognostic value for renal function, cardiovascular events, and overall mortality. The clinical relevance of uromodulin reflects its multifunctional nature, playing a role in renal ion transport and immunomodulation, in protection against urinary tract infections and renal stones, and possibly as a systemic antioxidant. Here, we discuss the multifaceted roles of this protein in kidney physiology and its translational relevance.
Collapse
Affiliation(s)
- Céline Schaeffer
- Molecular Genetics of Renal Disorders, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy;
| | - Olivier Devuyst
- Mechanisms of Inherited Kidney Disorders Group, University of Zurich, CH-8057 Zurich, Switzerland
| | - Luca Rampoldi
- Molecular Genetics of Renal Disorders, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy;
| |
Collapse
|
12
|
Zhang C, Fang X, Zhang H, Gao W, Hsu HJ, Roman RJ, Fan F. Genetic susceptibility of hypertension-induced kidney disease. Physiol Rep 2021; 9:e14688. [PMID: 33377622 PMCID: PMC7772938 DOI: 10.14814/phy2.14688] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 11/22/2020] [Accepted: 11/27/2020] [Indexed: 02/06/2023] Open
Abstract
Hypertension is the second leading cause of end-stage renal disease (ESRD) after diabetes mellitus. The significant differences in the incidence of hypertensive ESRD between different patient populations worldwide and patients with and without family history indicate that genetic determinants play an important role in the onset and progression of this disease. Recent studies have identified genetic variants and pathways that may contribute to the alteration of renal function. Mechanisms involved include affecting renal hemodynamics (the myogenic and tubuloglomerular feedback responses); increasing the production of reactive oxygen species in the tubules; altering immune cell function; changing the number, structure, and function of podocytes that directly cause glomerular damage. Studies with hypertensive animal models using substitution mapping and gene knockout strategies have identified multiple candidate genes associated with the development of hypertension and subsequent renal injury. Genome-wide association studies have implicated genetic variants in UMOD, MYH9, APOL-1, SHROOM3, RAB38, and DAB2 have a higher risk for ESRD in hypertensive patients. These findings provide genetic evidence of potential novel targets for drug development and gene therapy to design individualized treatment of hypertension and related renal injury.
Collapse
Affiliation(s)
- Chao Zhang
- Department of Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJacksonMississippiUSA
- Department of UrologyZhongshan HospitalFudan UniversityShanghaiChina
| | - Xing Fang
- Department of Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJacksonMississippiUSA
| | - Huawei Zhang
- Department of Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJacksonMississippiUSA
| | - Wenjun Gao
- Department of Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJacksonMississippiUSA
- Department of UrologyZhongshan HospitalFudan UniversityShanghaiChina
| | - Han Jen Hsu
- Department of UrologyZhongshan HospitalFudan UniversityShanghaiChina
| | - Richard J. Roman
- Department of Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJacksonMississippiUSA
| | - Fan Fan
- Department of Pharmacology and ToxicologyUniversity of Mississippi Medical CenterJacksonMississippiUSA
| |
Collapse
|
13
|
Stone RC, Chen V, Burgess J, Pannu S, Tomic-Canic M. Genomics of Human Fibrotic Diseases: Disordered Wound Healing Response. Int J Mol Sci 2020; 21:ijms21228590. [PMID: 33202590 PMCID: PMC7698326 DOI: 10.3390/ijms21228590] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 11/08/2020] [Accepted: 11/11/2020] [Indexed: 02/06/2023] Open
Abstract
Fibrotic disease, which is implicated in almost half of all deaths worldwide, is the result of an uncontrolled wound healing response to injury in which tissue is replaced by deposition of excess extracellular matrix, leading to fibrosis and loss of organ function. A plethora of genome-wide association studies, microarrays, exome sequencing studies, DNA methylation arrays, next-generation sequencing, and profiling of noncoding RNAs have been performed in patient-derived fibrotic tissue, with the shared goal of utilizing genomics to identify the transcriptional networks and biological pathways underlying the development of fibrotic diseases. In this review, we discuss fibrosing disorders of the skin, liver, kidney, lung, and heart, systematically (1) characterizing the initial acute injury that drives unresolved inflammation, (2) identifying genomic studies that have defined the pathologic gene changes leading to excess matrix deposition and fibrogenesis, and (3) summarizing therapies targeting pro-fibrotic genes and networks identified in the genomic studies. Ultimately, successful bench-to-bedside translation of observations from genomic studies will result in the development of novel anti-fibrotic therapeutics that improve functional quality of life for patients and decrease mortality from fibrotic diseases.
Collapse
Affiliation(s)
- Rivka C. Stone
- Wound Healing and Regenerative Medicine Research Program, Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery, University of Miami-Miller School of Medicine, Miami, FL 33136, USA; (V.C.); (J.B.)
- Correspondence: (R.C.S.); (M.T.-C.)
| | - Vivien Chen
- Wound Healing and Regenerative Medicine Research Program, Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery, University of Miami-Miller School of Medicine, Miami, FL 33136, USA; (V.C.); (J.B.)
| | - Jamie Burgess
- Wound Healing and Regenerative Medicine Research Program, Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery, University of Miami-Miller School of Medicine, Miami, FL 33136, USA; (V.C.); (J.B.)
- Medical Scientist Training Program in Biomedical Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Sukhmani Pannu
- Department of Dermatology, Tufts Medical Center, Boston, MA 02116, USA;
| | - Marjana Tomic-Canic
- Wound Healing and Regenerative Medicine Research Program, Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery, University of Miami-Miller School of Medicine, Miami, FL 33136, USA; (V.C.); (J.B.)
- John P. Hussman Institute for Human Genomics, University of Miami-Miller School of Medicine, Miami, FL 33136, USA
- Correspondence: (R.C.S.); (M.T.-C.)
| |
Collapse
|
14
|
Zhang Y, Zhang Y, Sun K, Meng Z, Chen L. The SLC transporter in nutrient and metabolic sensing, regulation, and drug development. J Mol Cell Biol 2020; 11:1-13. [PMID: 30239845 PMCID: PMC6359923 DOI: 10.1093/jmcb/mjy052] [Citation(s) in RCA: 127] [Impact Index Per Article: 31.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 09/18/2018] [Indexed: 02/07/2023] Open
Abstract
The prevalence of metabolic diseases is growing worldwide. Accumulating evidence suggests that solute carrier (SLC) transporters contribute to the etiology of various metabolic diseases. Consistent with metabolic characteristics, the top five organs in which SLC transporters are highly expressed are the kidney, brain, liver, gut, and heart. We aim to understand the molecular mechanisms of important SLC transporter-mediated physiological processes and their potentials as drug targets. SLC transporters serve as ‘metabolic gate’ of cells and mediate the transport of a wide range of essential nutrients and metabolites such as glucose, amino acids, vitamins, neurotransmitters, and inorganic/metal ions. Gene-modified animal models have demonstrated that SLC transporters participate in many important physiological functions including nutrient supply, metabolic transformation, energy homeostasis, tissue development, oxidative stress, host defense, and neurological regulation. Furthermore, the human genomic studies have identified that SLC transporters are susceptible or causative genes in various diseases like cancer, metabolic disease, cardiovascular disease, immunological disorders, and neurological dysfunction. Importantly, a number of SLC transporters have been successfully targeted for drug developments. This review will focus on the current understanding of SLCs in regulating physiology, nutrient sensing and uptake, and risk of diseases.
Collapse
Affiliation(s)
- Yong Zhang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, China.,Advanced Biotechnology and Application Research Center, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China
| | - Yuping Zhang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, China
| | - Kun Sun
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, China
| | - Ziyi Meng
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, China
| | - Ligong Chen
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, China
| |
Collapse
|
15
|
Wu P, Rybin D, Bielak LF, Feitosa MF, Franceschini N, Li Y, Lu Y, Marten J, Musani SK, Noordam R, Raghavan S, Rose LM, Schwander K, Smith AV, Tajuddin SM, Vojinovic D, Amin N, Arnett DK, Bottinger EP, Demirkan A, Florez JC, Ghanbari M, Harris TB, Launer LJ, Liu J, Liu J, Mook-Kanamori DO, Murray AD, Nalls MA, Peyser PA, Uitterlinden AG, Voortman T, Bouchard C, Chasman D, Correa A, de Mutsert R, Evans MK, Gudnason V, Hayward C, Kao L, Kardia SLR, Kooperberg C, Loos RJF, Province MM, Rankinen T, Redline S, Ridker PM, Rotter JI, Siscovick D, Smith BH, van Duijn C, Zonderman AB, Rao DC, Wilson JG, Dupuis J, Meigs JB, Liu CT, Vassy JL. Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose. PLoS One 2020; 15:e0230815. [PMID: 32379818 PMCID: PMC7205201 DOI: 10.1371/journal.pone.0230815] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 03/09/2020] [Indexed: 02/07/2023] Open
Abstract
Smoking is a potentially causal behavioral risk factor for type 2 diabetes (T2D), but not all smokers develop T2D. It is unknown whether genetic factors partially explain this variation. We performed genome-environment-wide interaction studies to identify loci exhibiting potential interaction with baseline smoking status (ever vs. never) on incident T2D and fasting glucose (FG). Analyses were performed in participants of European (EA) and African ancestry (AA) separately. Discovery analyses were conducted using genotype data from the 50,000-single-nucleotide polymorphism (SNP) ITMAT-Broad-CARe (IBC) array in 5 cohorts from from the Candidate Gene Association Resource Consortium (n = 23,189). Replication was performed in up to 16 studies from the Cohorts for Heart Aging Research in Genomic Epidemiology Consortium (n = 74,584). In meta-analysis of discovery and replication estimates, 5 SNPs met at least one criterion for potential interaction with smoking on incident T2D at p<1x10-7 (adjusted for multiple hypothesis-testing with the IBC array). Two SNPs had significant joint effects in the overall model and significant main effects only in one smoking stratum: rs140637 (FBN1) in AA individuals had a significant main effect only among smokers, and rs1444261 (closest gene C2orf63) in EA individuals had a significant main effect only among nonsmokers. Three additional SNPs were identified as having potential interaction by exhibiting a significant main effects only in smokers: rs1801232 (CUBN) in AA individuals, rs12243326 (TCF7L2) in EA individuals, and rs4132670 (TCF7L2) in EA individuals. No SNP met significance for potential interaction with smoking on baseline FG. The identification of these loci provides evidence for genetic interactions with smoking exposure that may explain some of the heterogeneity in the association between smoking and T2D.
Collapse
Affiliation(s)
- Peitao Wu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, MA, United States of America
| | - Denis Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, MA, United States of America
| | - Lawrence F. Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States of America
| | - Mary F. Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Nora Franceschini
- University of North Carolina, Chapel Hill, NC, United States of America
| | - Yize Li
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Jonathan Marten
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Solomon K. Musani
- Jackson Heart Study, University of Mississippi Medical Center, MS, United States of America
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Sridharan Raghavan
- Section of Hospital Medicine, Veterans Affairs Eastern Colorado Healthcare System, Denver, CO, United States of America
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, United States of America
- Colorado Cardiovascular Outcomes Research Consortium, Aurora, CO, United States of America
| | - Lynda M. Rose
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, United States of America
| | - Karen Schwander
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Albert V. Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Salman M. Tajuddin
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States of America
| | - Dina Vojinovic
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Donna K. Arnett
- Dean's Office, University of Kentucky College of Public Health, Lexington, Kentucky, United States of America
| | - Erwin P. Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Ayse Demirkan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jose C. Florez
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Massachusetts General Hospital, Boston, MA, United States of America
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, United States of America
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Tamara B. Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD, United States of America
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD, United States of America
| | - Jingmin Liu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Jun Liu
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Dennis O. Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Alison D. Murray
- The Institute of Medical Sciences, Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom
| | - Mike A. Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, United States of America
- Data Tecnica International LLC, Glen Echo, MD, United States of America
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States of America
| | - André G. Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States of America
| | - Daniel Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, United States of America
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michele K. Evans
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States of America
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Linda Kao
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States of America
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD, United States of America
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States of America
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States of America
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
- The Mindich Child Health and Development Institute, Ichan School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Michael M. Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States of America
| | - Susan Redline
- Harvard Medical School, Boston, MA, United States of America
- Departments of Medicine, Brigham and Women's Hospital, Boston, MA, United States of America
- Beth Israel Deaconess Medical Center, Boston, MA, United States of America
| | - Paul M. Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - David Siscovick
- The New York Academy of Medicine, New York, NY, United States of America
| | - Blair H. Smith
- Division of Population Health and Genomics, University of Dundee, Dundee, United Kingdom
| | - Cornelia van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Alan B. Zonderman
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States of America
| | - D. C. Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States of America
| | - James G. Wilson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, United States of America
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, MA, United States of America
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, United States of America
| | - James B. Meigs
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, United States of America
- Division of General Internal Medicine Division, Massachusetts General Hospital, Boston, MA, United States of America
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, MA, United States of America
| | - Jason L. Vassy
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
- VA Boston Healthcare System, Boston, MA, United States of America
| |
Collapse
|
16
|
Spiech KM, Tripathy PR, Woodcock AM, Sheth NA, Collins KS, Kannegolla K, Sinha AD, Sharfuddin AA, Pratt VM, Khalid M, Hains DS, Moe SM, Skaar TC, Moorthi RN, Eadon MT. Implementation of a Renal Precision Medicine Program: Clinician Attitudes and Acceptance. Life (Basel) 2020; 10:life10040032. [PMID: 32224869 PMCID: PMC7235993 DOI: 10.3390/life10040032] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 03/19/2020] [Accepted: 03/20/2020] [Indexed: 12/11/2022] Open
Abstract
A precision health initiative was implemented across a multi-hospital health system, wherein a panel of genetic variants was tested and utilized in the clinical care of chronic kidney disease (CKD) patients. Pharmacogenomic predictors of antihypertensive response and genomic predictors of CKD were provided to clinicians caring for nephrology patients. To assess clinician knowledge, attitudes, and willingness to act on genetic testing results, a Likert-scale survey was sent to and self-administered by these nephrology providers (N = 76). Most respondents agreed that utilizing pharmacogenomic-guided antihypertensive prescribing is valuable (4.0 ± 0.7 on a scale of 1 to 5, where 5 indicates strong agreement). However, the respondents also expressed reluctance to use genetic testing for CKD risk stratification due to a perceived lack of supporting evidence (3.2 ± 0.9). Exploratory sub-group analyses associated this reluctance with negative responses to both knowledge and attitude discipline questions, thus suggesting reduced exposure to and comfort with genetic information. Given the evolving nature of genomic implementation in clinical care, further education is warranted to help overcome these perception barriers.
Collapse
Affiliation(s)
- Katherine M. Spiech
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.M.S.); (P.R.T.); (A.M.W.); (N.A.S.); (K.S.C.); (K.K.); (A.D.S.); (A.A.S.); (S.M.M.); (T.C.S.); (R.N.M.)
| | - Purnima R. Tripathy
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.M.S.); (P.R.T.); (A.M.W.); (N.A.S.); (K.S.C.); (K.K.); (A.D.S.); (A.A.S.); (S.M.M.); (T.C.S.); (R.N.M.)
| | - Alex M. Woodcock
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.M.S.); (P.R.T.); (A.M.W.); (N.A.S.); (K.S.C.); (K.K.); (A.D.S.); (A.A.S.); (S.M.M.); (T.C.S.); (R.N.M.)
| | - Nehal A. Sheth
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.M.S.); (P.R.T.); (A.M.W.); (N.A.S.); (K.S.C.); (K.K.); (A.D.S.); (A.A.S.); (S.M.M.); (T.C.S.); (R.N.M.)
| | - Kimberly S. Collins
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.M.S.); (P.R.T.); (A.M.W.); (N.A.S.); (K.S.C.); (K.K.); (A.D.S.); (A.A.S.); (S.M.M.); (T.C.S.); (R.N.M.)
| | - Karthik Kannegolla
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.M.S.); (P.R.T.); (A.M.W.); (N.A.S.); (K.S.C.); (K.K.); (A.D.S.); (A.A.S.); (S.M.M.); (T.C.S.); (R.N.M.)
| | - Arjun D. Sinha
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.M.S.); (P.R.T.); (A.M.W.); (N.A.S.); (K.S.C.); (K.K.); (A.D.S.); (A.A.S.); (S.M.M.); (T.C.S.); (R.N.M.)
| | - Asif A. Sharfuddin
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.M.S.); (P.R.T.); (A.M.W.); (N.A.S.); (K.S.C.); (K.K.); (A.D.S.); (A.A.S.); (S.M.M.); (T.C.S.); (R.N.M.)
| | - Victoria M. Pratt
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA;
| | - Myda Khalid
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (M.K.); (D.S.H.)
| | - David S. Hains
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (M.K.); (D.S.H.)
| | - Sharon M. Moe
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.M.S.); (P.R.T.); (A.M.W.); (N.A.S.); (K.S.C.); (K.K.); (A.D.S.); (A.A.S.); (S.M.M.); (T.C.S.); (R.N.M.)
| | - Todd C. Skaar
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.M.S.); (P.R.T.); (A.M.W.); (N.A.S.); (K.S.C.); (K.K.); (A.D.S.); (A.A.S.); (S.M.M.); (T.C.S.); (R.N.M.)
| | - Ranjani N. Moorthi
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.M.S.); (P.R.T.); (A.M.W.); (N.A.S.); (K.S.C.); (K.K.); (A.D.S.); (A.A.S.); (S.M.M.); (T.C.S.); (R.N.M.)
| | - Michael T. Eadon
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.M.S.); (P.R.T.); (A.M.W.); (N.A.S.); (K.S.C.); (K.K.); (A.D.S.); (A.A.S.); (S.M.M.); (T.C.S.); (R.N.M.)
- Correspondence: ; Tel.: 317-274-2502; Fax: 317-274-8575
| |
Collapse
|
17
|
Zuo T, Chen P, Jing S, Zhang T, Chang L, Xu F, Zhao C, Xu P. Quantitative Proteomics Reveals the Development of HBV-Associated Glomerulonephritis Triggered by the Downregulation of SLC7A7. J Proteome Res 2020; 19:1556-1564. [PMID: 32155069 DOI: 10.1021/acs.jproteome.9b00799] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
As a hepadnavirus, hepatitis B virus (HBV) can cause damage to extrahepatic organs. The kidney is one of the organs that is more susceptible to damage. Research studies on HBV-associated glomerulonephritis (HBV-GN) have been going on for decades. However, the underlying molecular mechanism remains obscure. Here, we applied a tandem mass tag (TMT) isobaric labeling-based method to quantitatively profile the kidney proteome of HBV transgenic mice to illustrate the pathological mechanisms of HBV-GN. Weighted correlation network analysis, a clustering method for gene expression, is used to cluster proteins. Totally, we identified 127 proteins that were highly associated with HBV expression out of a total of 5169 quantified proteins. Among them, the downregulated solute carrier (SLC) family proteins are involved in the process of HBV-GN. We also found that IL1B was upregulated in the kidney tissue of HBV transgenic mice. These findings suggest that HBV disrupts the small molecule transport network of the kidney, which contributes to the occurrence of HBV-GN. The transporter, particularly SLC family 7 member 7 (SLC7A7), is involved in this process, which might serve as an intervention target for HBV-GN. All MS data have been deposited to the ProteomeXchange Consortium via the iProX partner repository with the data set identifier PXD016450.
Collapse
Affiliation(s)
- Tao Zuo
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Research Unit of Proteomics & Research and Development of New Drug of Chinese Academy of Medical Sciences, Institute of Lifeomics, Beijing 102206, P. R. China
| | - Peiru Chen
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Research Unit of Proteomics & Research and Development of New Drug of Chinese Academy of Medical Sciences, Institute of Lifeomics, Beijing 102206, P. R. China
| | - Sha Jing
- National Clinical Research Center for Aging and Medicine, Huashan Hospital & MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China
| | - Tao Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Research Unit of Proteomics & Research and Development of New Drug of Chinese Academy of Medical Sciences, Institute of Lifeomics, Beijing 102206, P. R. China
| | - Lei Chang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Research Unit of Proteomics & Research and Development of New Drug of Chinese Academy of Medical Sciences, Institute of Lifeomics, Beijing 102206, P. R. China
| | - Feng Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Research Unit of Proteomics & Research and Development of New Drug of Chinese Academy of Medical Sciences, Institute of Lifeomics, Beijing 102206, P. R. China
| | - Chao Zhao
- National Clinical Research Center for Aging and Medicine, Huashan Hospital & MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China
| | - Ping Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Research Unit of Proteomics & Research and Development of New Drug of Chinese Academy of Medical Sciences, Institute of Lifeomics, Beijing 102206, P. R. China.,Second Clinical Medicine Collage, Guangzhou University of Chinese Medicine, Guangzhou 510006, P. R. China.,Guizhou University School of Medicine, Guiyang 550025, P.R. China
| |
Collapse
|
18
|
Fan F, Geurts AM, Pabbidi MR, Ge Y, Zhang C, Wang S, Liu Y, Gao W, Guo Y, Li L, He X, Lv W, Muroya Y, Hirata T, Prokop J, Booz GW, Jacob HJ, Roman RJ. A Mutation in γ-Adducin Impairs Autoregulation of Renal Blood Flow and Promotes the Development of Kidney Disease. J Am Soc Nephrol 2020; 31:687-700. [PMID: 32029431 DOI: 10.1681/asn.2019080784] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 12/14/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The genes and mechanisms involved in the association between diabetes or hypertension and CKD risk are unclear. Previous studies have implicated a role for γ-adducin (ADD3), a cytoskeletal protein encoded by Add3. METHODS We investigated renal vascular function in vitro and in vivo and the susceptibility to CKD in rats with wild-type or mutated Add3 and in genetically modified rats with overexpression or knockout of ADD3. We also studied glomeruli and primary renal vascular smooth muscle cells isolated from these rats. RESULTS This study identified a K572Q mutation in ADD3 in fawn-hooded hypertensive (FHH) rats-a mutation previously reported in Milan normotensive (MNS) rats that also develop kidney disease. Using molecular dynamic simulations, we found that this mutation destabilizes a critical ADD3-ACTIN binding site. A reduction of ADD3 expression in membrane fractions prepared from the kidney and renal vascular smooth muscle cells of FHH rats was associated with the disruption of the F-actin cytoskeleton. Compared with renal vascular smooth muscle cells from Add3 transgenic rats, those from FHH rats had elevated membrane expression of BKα and BK channel current. FHH and Add3 knockout rats exhibited impairments in the myogenic response of afferent arterioles and in renal blood flow autoregulation, which were rescued in Add3 transgenic rats. We confirmed these findings in a genetic complementation study that involved crossing FHH and MNS rats that share the ADD3 mutation. Add3 transgenic rats showed attenuation of proteinuria, glomerular injury, and kidney fibrosis with aging and mineralocorticoid-induced hypertension. CONCLUSIONS This is the first report that a mutation in ADD3 that alters ACTIN binding causes renal vascular dysfunction and promotes the susceptibility to kidney disease.
Collapse
Affiliation(s)
- Fan Fan
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Aron M Geurts
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Mallikarjuna R Pabbidi
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Ying Ge
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Chao Zhang
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Shaoxun Wang
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Yedan Liu
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Wenjun Gao
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Ya Guo
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Longyang Li
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Xiaochen He
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Wenshan Lv
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Yoshikazu Muroya
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Takashi Hirata
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Jeremy Prokop
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan
| | - George W Booz
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Howard J Jacob
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Richard J Roman
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi;
| |
Collapse
|
19
|
Umeukeje EM, Young BA. Genetics and ESKD Disparities in African Americans. Am J Kidney Dis 2019; 74:811-821. [PMID: 31606237 PMCID: PMC7373097 DOI: 10.1053/j.ajkd.2019.06.006] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 06/09/2019] [Indexed: 12/22/2022]
Abstract
African Americans have a 2- to 4-fold greater incidence of end-stage kidney disease (ESKD) than whites, which has long raised the possibility of a genetic cause for this disparity. Recent advances in genetic studies have shown a causal association of polymorphisms at the apolipoprotein L1 gene (APOL1) with the markedly increased risk for the nondiabetic component of the overall disparity in ESKD in African Americans. Although APOL1-associated kidney disease is thought to account for a substantial proportion of ESKD in African Americans, not all the increased risk for ESKD is accounted for, and a complete cataloging of disparities in genetic causes of ESKD eludes our current understanding of genetic-associated kidney disease. Genetic testing aids the screening, diagnosis, prognosis, and treatment of diseases with a genetic basis. Widespread use of genetic testing in clinical practice is limited by the small number of actionable genetic variants, limited health literacy of providers and patients, and underlying complex ethical, legal, and social issues. This perspective reviews racial and ethnic differences associated with genetic diseases and the development of ESKD in African Americans and discusses potential uncertainties associated with our current understanding of penetrance of genetically linked kidney disease and population-attributable risk percent.
Collapse
Affiliation(s)
- Ebele M Umeukeje
- Division of Nephrology, Vanderbilt University Medical Center, Nashville, TN; Vanderbilt Center for Kidney Disease, Nashville, TN
| | - Bessie A Young
- Nephrology, Hospital and Specialty Medicine and Center for Innovation for Veteran-Centered and Value Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, WA; Kidney Research Institute and Division of Nephrology, University of Washington, Seattle, WA.
| |
Collapse
|
20
|
Park CS, De T, Xu Y, Zhong Y, Smithberger E, Alarcon C, Gamazon ER, Perera MA. Hepatocyte gene expression and DNA methylation as ancestry-dependent mechanisms in African Americans. NPJ Genom Med 2019; 4:29. [PMID: 31798965 PMCID: PMC6877651 DOI: 10.1038/s41525-019-0102-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 09/27/2019] [Indexed: 12/13/2022] Open
Abstract
African Americans (AAs) are an admixed population with widely varying proportion of West African ancestry (WAA). Here we report the correlation of WAA to gene expression and DNA methylation in AA-derived hepatocytes, a cell type important in disease and drug response. We perform mediation analysis to test whether methylation is a mediator of the effect of ancestry on expression. GTEx samples and a second cohort are used as validation. One hundred and thirty-one genes are associated with WAA (FDR < 0.10), 28 of which replicate and represent 220 GWAS phenotypes. Among PharmGKB pharmacogenes, VDR, PTGIS, ALDH1A1, CYP2C19, and P2RY1 nominally associate with WAA (p < 0.05). We find 1037 WAA-associated, differentially methylated regions (FDR < 0.05), with hypomethylated genes enriched in drug-response pathways. In conclusion, WAA contributes to variability in hepatocyte expression and DNA methylation with identified genes previously implicated for diseases disproportionately affecting AAs, including cardiovascular (PTGIS, PLAT) and renal (APOL1) disease, and drug response (CYP2C19).
Collapse
Affiliation(s)
- C. S. Park
- Department of Pharmacology, Center for Pharmacogenomics, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - T. De
- Department of Pharmacology, Center for Pharmacogenomics, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - Y. Xu
- Department of Pharmacology, Center for Pharmacogenomics, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
- Center for Translational Data Science, University of Chicago, Chicago, IL USA
| | - Y. Zhong
- Department of Pharmacology, Center for Pharmacogenomics, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - E. Smithberger
- Department of Pharmacology, Center for Pharmacogenomics, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
- Department of Pathology and Laboratory Medicine, University of North Carolina School of Medicine, Chapel Hill, NC USA
| | - C. Alarcon
- Department of Pharmacology, Center for Pharmacogenomics, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - E. R. Gamazon
- Vanderbilt Genetics Institute and Division of Genetic Medicine, Vanderbilt University School of Medicine, Nashville, TN USA
- Data Science Institute, Vanderbilt University, Nashville, TN USA
- Clare Hall, University of Cambridge, Cambridge, UK
| | - M. A. Perera
- Department of Pharmacology, Center for Pharmacogenomics, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| |
Collapse
|
21
|
Abstract
PURPOSE OF REVIEW Chronic kidney disease (CKD) can cluster in geographic locations or in people of particular genetic ancestries. We explore APOL1 nephropathy and Balkan nephropathy as examples of CKD clustering that illustrate genetics and environment conspiring to cause high rates of kidney disease. Unexplained hotspots of kidney disease in Asia and Central America are then considered from the perspective of potential gene × environment interactions. RECENT FINDINGS We report on evidence supporting both genes and environment in these CKD hotspots. Differing genetic susceptibility between populations and within populations may explain why causal environmental risk factors have been so hard to identify conclusively. Similarly, one cannot explain why these epidemics of kidney disease are happening now without invoking environmental changes. SUMMARY Approaches to these CKD hotspots are of necessity becoming more holistic. Genetic studies may help us identify the environmental triggers by teaching us about disease biology and may empower environmental risk factor studies by allowing for stratification of study participants by genetic susceptibility.
Collapse
|
22
|
Maydan O, McDade PG, Liu Y, Wu XR, Matsell DG, Eddy AA. Uromodulin deficiency alters tubular injury and interstitial inflammation but not fibrosis in experimental obstructive nephropathy. Physiol Rep 2019; 6:e13654. [PMID: 29595914 PMCID: PMC5875544 DOI: 10.14814/phy2.13654] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 02/07/2018] [Accepted: 02/10/2018] [Indexed: 12/11/2022] Open
Abstract
Human GWAS and Mendelian genetic studies have linked polymorphic variants and mutations in the human uromodulin gene (UMOD) with chronic kidney disease. The primary function of this kidney‐specific and secreted protein remains elusive. This study investigated whether UMOD deficiency modified responses to unilateral ureteral obstruction (UUO)‐induced kidney injury. Kidneys harvested from groups of wild‐type (UMOD+/+) and knockout (UMOD−/−) male mice (n = 7–10 each) were studied on days 7, 14, and 21. Compared to sham kidneys, UMOD protein levels increased 9–13x after UUO and were associated with increased urinary UMOD levels. Kidney KIM‐1 protein levels were higher in the UMOD−/− groups at all time‐points (4–14x). The UMOD−/− groups also had higher KIM‐1 kidney‐to‐urine relative ratios (5–35x). In vitro studies using KIM‐1 expressing 769‐P cells showed lower KIM‐1 levels in the presence of UMOD protein. Levels of proapoptotic genes and the epithelial cell apoptotic protein marker M30 were significantly lower in the UMOD−/− groups. Both M30 and KIM‐1 colocalized with intraluminal UMOD protein deposits. Interstitial inflammation was less intense in the UMOD−/− groups. Renal fibrosis severity (kidney collagen mRNA and protein) was similar in both genotypic groups on days 7, 14, and 21. Our findings suggest a role for UMOD‐dependent inhibition of KIM‐1 expression and its apoptotic cell scavenging responses during chronic obstruction‐associated tubular injury.
Collapse
Affiliation(s)
- Olena Maydan
- Department of Pediatrics, University of British Columbia and British Columbia Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Paul G McDade
- Department of Pediatrics, University of British Columbia and British Columbia Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Yan Liu
- Department of Urology, New York University, New York, New York
| | - Xue-Ru Wu
- Department of Urology, New York University, New York, New York
| | - Douglas G Matsell
- Department of Pediatrics, University of British Columbia and British Columbia Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Allison A Eddy
- Department of Pediatrics, University of British Columbia and British Columbia Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| |
Collapse
|
23
|
Morris AP, Le TH, Wu H, Akbarov A, van der Most PJ, Hemani G, Smith GD, Mahajan A, Gaulton KJ, Nadkarni GN, Valladares-Salgado A, Wacher-Rodarte N, Mychaleckyj JC, Dueker ND, Guo X, Hai Y, Haessler J, Kamatani Y, Stilp AM, Zhu G, Cook JP, Ärnlöv J, Blanton SH, de Borst MH, Bottinger EP, Buchanan TA, Cechova S, Charchar FJ, Chu PL, Damman J, Eales J, Gharavi AG, Giedraitis V, Heath AC, Ipp E, Kiryluk K, Kramer HJ, Kubo M, Larsson A, Lindgren CM, Lu Y, Madden PAF, Montgomery GW, Papanicolaou GJ, Raffel LJ, Sacco RL, Sanchez E, Stark H, Sundstrom J, Taylor KD, Xiang AH, Zivkovic A, Lind L, Ingelsson E, Martin NG, Whitfield JB, Cai J, Laurie CC, Okada Y, Matsuda K, Kooperberg C, Chen YDI, Rundek T, Rich SS, Loos RJF, Parra EJ, Cruz M, Rotter JI, Snieder H, Tomaszewski M, Humphreys BD, Franceschini N. Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies. Nat Commun 2019; 10:29. [PMID: 30604766 PMCID: PMC6318312 DOI: 10.1038/s41467-018-07867-7] [Citation(s) in RCA: 89] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 12/03/2018] [Indexed: 02/07/2023] Open
Abstract
Chronic kidney disease (CKD) affects ~10% of the global population, with considerable ethnic differences in prevalence and aetiology. We assemble genome-wide association studies of estimated glomerular filtration rate (eGFR), a measure of kidney function that defines CKD, in 312,468 individuals of diverse ancestry. We identify 127 distinct association signals with homogeneous effects on eGFR across ancestries and enrichment in genomic annotations including kidney-specific histone modifications. Fine-mapping reveals 40 high-confidence variants driving eGFR associations and highlights putative causal genes with cell-type specific expression in glomerulus, and in proximal and distal nephron. Mendelian randomisation supports causal effects of eGFR on overall and cause-specific CKD, kidney stone formation, diastolic blood pressure and hypertension. These results define novel molecular mechanisms and putative causal genes for eGFR, offering insight into clinical outcomes and routes to CKD treatment development. Estimated glomerular filtration rate (eGFR) is a measure of kidney function used to define chronic kidney disease. Here, Morris et al. perform trans-ethnic genome-wide meta-analyses for eGFR in 312,468 individuals and identify novel loci and downstream putative causal genes.
Collapse
Affiliation(s)
- Andrew P Morris
- Department of Biostatistics, University of Liverpool, Liverpool, L69 3GL, UK. .,Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.
| | - Thu H Le
- Department of Medicine, Division of Nephrology, University of Virginia, Charlottesville, VA, 22908, USA
| | - Haojia Wu
- Division of Nephrology, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Artur Akbarov
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, M13 9PT, UK
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, Netherlands
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, BS8 1TH, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, BS8 1TH, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Kyle J Gaulton
- Department of Pediatrics, University of California, San Diego, San Diego, CA, 92161, USA
| | - Girish N Nadkarni
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,Division of Nephrology and Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Adan Valladares-Salgado
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, 06720, Mexico
| | - Niels Wacher-Rodarte
- Unidad de Investigación Médica en Epidemiologia Clinica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, 06720, Mexico
| | - Josyf C Mychaleckyj
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Nicole D Dueker
- John P Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, 33124, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Yang Hai
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - Adrienne M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Gu Zhu
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - James P Cook
- Department of Biostatistics, University of Liverpool, Liverpool, L69 3GL, UK
| | - Johan Ärnlöv
- Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, 141 83, Sweden.,School of Health and Social Studies, Dalarna University, Falun, 791 88, Sweden
| | - Susan H Blanton
- John P Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, 33124, USA.,Dr John T Macdonald Department of Human Genetics, University of Miami, Miami, FL, 33124, USA
| | - Martin H de Borst
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, Netherlands
| | - Erwin P Bottinger
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Thomas A Buchanan
- Department of Medicine, Division of Endocrinology and Diabetes, Keck School of Medicine of USC, Los Angeles, CA, 90033, USA
| | - Sylvia Cechova
- Department of Medicine, Division of Nephrology, University of Virginia, Charlottesville, VA, 22908, USA
| | - Fadi J Charchar
- School of Health and Life Sciences, Federation University Australia, Ballarat, VIC, 3350, Australia.,Department of Cardiovascular Sciences, University of Leicester, Leicester, LE1 7RH, UK.,Department of Physiology, University of Melbourne, Parkville, VIC, 3010, Australia
| | - Pei-Lun Chu
- Department of Internal Medicine, Fu Jen Catholic University Hospital, School of Medicine, Fu Jen Catholic University, New Taipei City, 242, Taiwan
| | - Jeffrey Damman
- Department of Pathology, Erasmus Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, Netherlands
| | - James Eales
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, M13 9PT, UK
| | - Ali G Gharavi
- Department of Medicine, Division of Nephrology, College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Molecular Geriatrics, Uppsala University, Uppsala, 751 85, Sweden
| | - Andrew C Heath
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Eli Ipp
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90024, USA.,Los Angeles Biomedical Research Institute at Harbor UCLA Medical Center, Torrance, CA, 90502, USA
| | - Krzysztof Kiryluk
- Department of Medicine, Division of Nephrology, College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Holly J Kramer
- Department of Medicine and Nephrology, Loyola University Medical Center, Maywood, IL, 60153, USA
| | - Michiaki Kubo
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - Anders Larsson
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, 751 85, Sweden
| | - Cecilia M Lindgren
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.,Li Ka Shing Centre for Health Information and Discovery, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7FZ, UK.,Broad Institute of Harvard and MIT, Boston, MA, 02142, USA
| | - Yingchang Lu
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Pamela A F Madden
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, 63110, USA
| | - Grant W Montgomery
- Brisbane Institute for Molecular Bioscience, University of Queensland, St. Lucia, QLD 4072, Australia
| | - George J Papanicolaou
- Epidemiology Branch, Division of Cardiovascular Sciences, National Heart, Lung and Blood Institute, Bethesda, MD, 20892, USA
| | - Leslie J Raffel
- Department of Pediatrics, Division of Genetic and Genomic Medicine, University of California, Irvine Orange, CA, 92868, USA
| | - Ralph L Sacco
- Departments of Neurology and Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA.,Evelyn F McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA.,Jackson Memorial Hospital, University of Miami, Miami, FL, 33136-1096, USA
| | - Elena Sanchez
- Department of Medicine, Division of Nephrology, College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Holger Stark
- Institute of Pharmaceutical and Medicinal Chemistry, Heinrich Heine University Düsseldorf, Düsseldorf, 40225, Germany
| | - Johan Sundstrom
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, 751 85, Sweden
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Anny H Xiang
- Department of Research and Education, Kaiser Permanente Southern California, Pasadena, CA, 91101, USA
| | - Aleksandra Zivkovic
- Institute of Pharmaceutical and Medicinal Chemistry, Heinrich Heine University Düsseldorf, Düsseldorf, 40225, Germany
| | - Lars Lind
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, 751 85, Sweden
| | - Erik Ingelsson
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, 94309, USA.,Stanford Cardiovascular Institute, Stanford University, Stanford, CA, 94309, USA.,Stanford Diabetes Research Center, Stanford University, Stanford, CA, 94305, USA.,Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, 751 85, Sweden
| | - Nicholas G Martin
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - John B Whitfield
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - Jianwen Cai
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7420, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Yukinori Okada
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.,Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Suita, 565-0871, Japan
| | - Koichi Matsuda
- Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, 108-8639, Japan
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Tatjana Rundek
- Departments of Neurology and Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA.,Evelyn F McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Esteban J Parra
- Department of Anthropology, University of Toronto at Mississauga, Mississauga, ON, L5L 1C6, Canada
| | - Miguel Cruz
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, 06720, Mexico
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, Netherlands
| | - Maciej Tomaszewski
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, M13 9PT, UK.,Division of Medicine, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK
| | - Benjamin D Humphreys
- Division of Nephrology, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, 27516-8050, USA.
| |
Collapse
|
24
|
Zhong M, Zhang Y, Yuan F, Peng Y, Wu J, Yuan J, Zhu W, Zhang Y. High FNDC1 expression correlates with poor prognosis in gastric cancer. Exp Ther Med 2018; 16:3847-3854. [PMID: 30402143 DOI: 10.3892/etm.2018.6731] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 08/02/2018] [Indexed: 02/07/2023] Open
Abstract
Gastric cancer is a common human cancer worldwide. Fibronectin is an important extracellular matrix protein that has been implicated in many cancers and is known to be associated with proliferation and migration. Fibronectin type III domain containing 1 (FNDC1) contains a major component of the structural domain of fibronectin. The objectives of the present study were to measure FNDC1 expression in gastric cancer tissues and evaluate its value as a potential prognostic marker for gastric cancer. FNDC1 protein expression was analyzed by immunohistochemistry in 98 samples of gastric cancer tissue and 25 adjacent normal tissues. The associations between FNDC1 level and various clinicopathological characteristics were assessed, and the correlation between FNDC1 expression levels and prognosis of patients with gastric cancer was analyzed using a Kaplan-Meier analysis. It was demonstrated that FNDC1 expression in gastric cancer tissues and adjacent tissues was significantly different. FNDC1 expression levels were significantly higher in gastric cancer tissues compared with normal gastric tissues (P<0.001). Among the clinicopathological characteristics evaluated, clinical stage (P<0.001), T classification (P<0.001), N classification (P<0.001) and pathological differentiation (P=0.044) were significantly associated with high FNDC1 expression. Higher FNDC1 expression level was significantly correlated with poorer survival. The present findings suggest that FNDC1 expression levels may be a promising prognostic biomarker for gastric cancer.
Collapse
Affiliation(s)
- Muxiao Zhong
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Yijie Zhang
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Fangfang Yuan
- Department of Intensive Care Unit, General Hospital of Guangzhou Military Command, Guangzhou, Guangdong 510010, P.R. China
| | - Yao Peng
- Department of Gastroenterology, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510180, P.R. China
| | - Jingjing Wu
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Jiawei Yuan
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Wei Zhu
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Yali Zhang
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| |
Collapse
|
25
|
Yamada Y, Kato K, Oguri M, Horibe H, Fujimaki T, Yasukochi Y, Takeuchi I, Sakuma J. Identification of 13 novel susceptibility loci for early-onset myocardial infarction, hypertension, or chronic kidney disease. Int J Mol Med 2018; 42:2415-2436. [PMID: 30226566 PMCID: PMC6192728 DOI: 10.3892/ijmm.2018.3852] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 08/13/2018] [Indexed: 12/28/2022] Open
Abstract
Early-onset cardiovascular and renal diseases have a strong genetic component. In the present study, exome-wide association studies (EWASs) were performed to identify genetic variants that confer susceptibility to early-onset myocardial infarction (MI), hypertension, or chronic kidney disease (CKD) in Japanese individuals. A total of 8,093 individuals aged ≤65 years was enrolled in the study. The EWASs for MI, hypertension, and CKD were performed in 6,926 subjects (1,152 cases, 5,774 controls), 8,080 subjects (3,444 cases, 4,636 controls), and 2,556 subjects (1,051 cases, 1,505 controls), respectively. Genotyping of single nucleotide polymorphisms (SNPs) was performed with Illumina Human Exome-12 DNA Analysis BeadChip or Infinium Exome-24 BeadChip arrays. The associations of allele frequencies for 31,245, 31,276, or 31,514 SNPs that passed quality control to MI, hypertension, and CKD, respectively, was examined with Fisher's exact test. Bonferroni's correction for statistical significance of association was applied to compensate for multiple comparisons of genotypes with MI, hypertension, or CKD. The EWASs of allele frequencies revealed that 25, 11, and 11 SNPs were significantly associated with MI (P<1.60×10−6), hypertension (P<1.60×10−6), or CKD (P<1.59×10−6), respectively. Multivariable logistic regression analysis with adjustment for covariates showed that all 25, 11, and 11 SNPs were significantly associated with MI (P<0.0005), hypertension (P<0.0011), or CKD (P<0.0011), respectively. On examination of the results from previous genome-wide association studies and linkage disequilibrium of the identified SNPs, 11 loci (TMOD4, COL6A3, ADGRL3-CXCL8-MARCH1, OR52E4, TCHP-GIT2, CCDC63, 12q24.1, OAS3, PLCB2-VPS33B, GOSR2, ZNF77), six loci (MOB3C-TMOD4, COL6A3, COL6A5, CXCL8-MARCH1, NFKBIL1-6p21.3-NCR3, PLCB2-VPS33B), and seven loci (MOB3C-TMOD4, COL6A3, COL6A5, ADGRL3-CXCL8-MARCH1, MUC17, PLCB2-VPS33B, ZNF77) were identified as novel loci significantly associated with MI, hypertension, and CKD, respectively. Furthermore, six genes (TMOD4, COL6A3, CXCL8, MARCH1, PLCB2, VPS33B) were significantly associated with MI, hypertension and CKD; two genes (ADGRL3, ZNF77) with MI and CKD; and two genes (COL6A5, MOB3C) with hypertension and CKD. Therefore, 13 novel loci (MOB3C-TMOD4, COL6A3, ADGRL3-CXCL8-MARCH1, OR52E4, TCHP- GIT2, CCDC63, 12q24.1, OAS3, PLCB2-VPS33B, ZNF77, COL6A5, NFKBIL1-NCR3, MUC17) were identified that confer susceptibility to early-onset MI, hypertension, or CKD. The determination of genotypes for the SNPs at these loci may provide informative for assessment of the genetic risk for MI, hypertension, or CKD.
Collapse
Affiliation(s)
- Yoshiji Yamada
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Mie 514‑8507, Japan
| | - Kimihiko Kato
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Mie 514‑8507, Japan
| | - Mitsutoshi Oguri
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Mie 514‑8507, Japan
| | - Hideki Horibe
- Department of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi, Gifu 507‑8522, Japan
| | - Tetsuo Fujimaki
- Department of Cardiovascular Medicine, Northern Mie Medical Center Inabe General Hospital, Inabe, Mie 511‑0428, Japan
| | - Yoshiki Yasukochi
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Mie 514‑8507, Japan
| | - Ichiro Takeuchi
- CREST, Japan Science and Technology Agency, Kawaguchi, Saitama 332‑0012, Japan
| | - Jun Sakuma
- CREST, Japan Science and Technology Agency, Kawaguchi, Saitama 332‑0012, Japan
| |
Collapse
|
26
|
Friedman DJ, Alper SL. Modulation of tubular solute reuptake in UMOD knockout mice. Am J Physiol Renal Physiol 2018. [PMID: 29513073 DOI: 10.1152/ajprenal.00080.2018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- David J Friedman
- Division of Nephrology and Vascular Biology Research Center, Beth Israel Deaconess Medical Center, Department of Medicine, Harvard Medical School , Boston, Massachusetts
| | - Seth L Alper
- Division of Nephrology and Vascular Biology Research Center, Beth Israel Deaconess Medical Center, Department of Medicine, Harvard Medical School , Boston, Massachusetts
| |
Collapse
|
27
|
Devuyst O, Pattaro C. The UMOD Locus: Insights into the Pathogenesis and Prognosis of Kidney Disease. J Am Soc Nephrol 2017; 29:713-726. [PMID: 29180396 DOI: 10.1681/asn.2017070716] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The identification of genetic factors associated with kidney disease has the potential to provide critical insights into disease mechanisms. Genome-wide association studies have uncovered genomic regions associated with renal function metrics and risk of CKD. UMOD is among the most outstanding loci associated with CKD in the general population, because it has a large effect on eGFR and CKD risk that is consistent across different ethnic groups. The relevance of UMOD for CKD is clear, because the encoded protein, uromodulin (Tamm-Horsfall protein), is exclusively produced by the kidney tubule and has specific biochemical properties that mediate important functions in the kidney and urine. Rare mutations in UMOD are the major cause of autosomal dominant tubulointerstitial kidney disease, a condition that leads to CKD and ESRD. In this brief review, we use the UMOD paradigm to describe how population genetic studies can yield insight into the pathogenesis and prognosis of kidney diseases.
Collapse
Affiliation(s)
- Olivier Devuyst
- Institute of Physiology, University of Zurich, Zurich, Switzerland; and
| | - Cristian Pattaro
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, Italy
| |
Collapse
|
28
|
Ainsworth HC, Langefeld CD, Freedman BI. Genetic epidemiology in kidney disease. Nephrol Dial Transplant 2017; 32:ii159-ii169. [PMID: 28201750 DOI: 10.1093/ndt/gfw270] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2016] [Accepted: 06/04/2016] [Indexed: 12/20/2022] Open
Abstract
Familial aggregation of chronic kidney disease and its component phenotypes-reduced glomerular filtration rate, proteinuria and renal histologic changes-has long been recognized. Rates of severe kidney disease are also known to differ markedly between populations based on ancestry. These epidemiologic observations support the existence of nephropathy susceptibility genes. Several molecular genetic technologies are now available to identify causative loci. The present article summarizes available strategies useful for identifying nephropathy susceptibility genes, including candidate gene association, family-based linkage, genome-wide association and admixture mapping (mapping by admixture linkage disequilibrium) approaches. Examples of loci detected using these techniques are provided. Epigenetic studies and future directions are also discussed. The identification of nephropathy susceptibility genes, coupled with modifiable environmental triggers impacting their function, is likely to improve risk prediction and transform care. Development of novel therapies to prevent progression of kidney disease will follow.
Collapse
Affiliation(s)
- Hannah C Ainsworth
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Carl D Langefeld
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Barry I Freedman
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, USA
| |
Collapse
|
29
|
Nestor JG, Groopman EE, Gharavi AG. Towards precision nephrology: the opportunities and challenges of genomic medicine. J Nephrol 2017; 31:47-60. [PMID: 29043570 DOI: 10.1007/s40620-017-0448-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Accepted: 10/10/2017] [Indexed: 12/28/2022]
Abstract
The expansion of genomic medicine is furthering our understanding of many human diseases. This is well illustrated in the field of nephrology, through the characterization, discovery, and growing insight into various renal diseases through use of Next Generation Sequencing (NGS) technologies. This review will provide an overview of the diagnostic opportunities of using genetic testing in the clinical setting by describing notable discoveries regarding inherited forms of renal disease that have advanced the field and by highlighting some of the potential benefits of establishing a molecular diagnosis in a clinical practice. In addition, it will discuss some of the challenges associated with the expansion of genetic testing into the clinical setting, including clinical variant interpretation and return of genetic results.
Collapse
Affiliation(s)
- Jordan G Nestor
- Division of Nephrology, Department of Medicine, College of Physicians and Surgeons, Columbia University, 1150 St. Nicholas Ave, Room 413, New York, NY, 10032, USA
| | - Emily E Groopman
- Division of Nephrology, Department of Medicine, College of Physicians and Surgeons, Columbia University, 1150 St. Nicholas Ave, Room 413, New York, NY, 10032, USA
| | - Ali G Gharavi
- Division of Nephrology, Department of Medicine, College of Physicians and Surgeons, Columbia University, 1150 St. Nicholas Ave, Room 413, New York, NY, 10032, USA.
| |
Collapse
|
30
|
PROX1 gene CC genotype as a major determinant of early onset of type 2 diabetes in slavic study participants from Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation study. J Hypertens 2017; 35 Suppl 1:S24-S32. [PMID: 28060188 PMCID: PMC5377997 DOI: 10.1097/hjh.0000000000001241] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The prevalence of diabetic nephropathy varies according to ethnicity. Environmental as well as genetic factors contribute to the heterogeneity in the presentation of diabetic nephropathy. Our objective was to evaluate this heterogeneity within the Caucasian population. METHODS The geo-ethnic origin of the 3409 genotyped Caucasian type 2 diabetes (T2D) patients of Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation was determined using principal component analysis. Genome-wide association studies analyses of age of onset of T2D were performed for geo-ethnic groups separately and combined. RESULTS The first principal component separated the Caucasian study participants into Slavic and Celtic ethnic origins. Age of onset of diabetes was significantly lower in Slavic patients (P = 7.3 × 10), whereas the prevalence of hypertension (P = 4.9 × 10) and albuminuria (5.1 × 10) were significantly higher. Age of onset of T2D and albuminuria appear to have an important genetic component as the values of these traits were also different between Slavic and Celtic individuals living in the same countries. Common and geo-ethnic-specific loci were found to be associated to age of onset of diabetes. Among the latter, the PROX1/PROX1-AS1 genes (rs340841) had the highest impact. Single-nucleotide polymorphism rs340841 CC genotype was associated with a 4.4 year earlier onset of T2D in Slavic patients living or not in countries with predominant Slavic populations. CONCLUSION These results reveal the presence of distinct genetic architectures between Caucasian ethnic groups that likely have clinical relevance, among them PROX1 gene is a strong candidate of early onset of diabetes with variations depending on ethnicity.
Collapse
|
31
|
Devuyst O, Olinger E, Rampoldi L. Uromodulin: from physiology to rare and complex kidney disorders. Nat Rev Nephrol 2017; 13:525-544. [PMID: 28781372 DOI: 10.1038/nrneph.2017.101] [Citation(s) in RCA: 184] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Uromodulin (also known as Tamm-Horsfall protein) is exclusively produced in the kidney and is the most abundant protein in normal urine. The function of uromodulin remains elusive, but the available data suggest that this protein might regulate salt transport, protect against urinary tract infection and kidney stones, and have roles in kidney injury and innate immunity. Interest in uromodulin was boosted by genetic studies that reported involvement of the UMOD gene, which encodes uromodulin, in a spectrum of rare and common kidney diseases. Rare mutations in UMOD cause autosomal dominant tubulointerstitial kidney disease (ADTKD), which leads to chronic kidney disease (CKD). Moreover, genome-wide association studies have identified common variants in UMOD that are strongly associated with risk of CKD and also with hypertension and kidney stones in the general population. These findings have opened up a new field of kidney research. In this Review we summarize biochemical, physiological, genetic and pathological insights into the roles of uromodulin; the mechanisms by which UMOD mutations cause ADTKD, and the association of common UMOD variants with complex disorders.
Collapse
Affiliation(s)
- Olivier Devuyst
- Institute of Physiology, University of Zurich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland
| | - Eric Olinger
- Institute of Physiology, University of Zurich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland
| | - Luca Rampoldi
- Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy
| |
Collapse
|
32
|
Yamada Y, Sakuma J, Takeuchi I, Yasukochi Y, Kato K, Oguri M, Fujimaki T, Horibe H, Muramatsu M, Sawabe M, Fujiwara Y, Taniguchi Y, Obuchi S, Kawai H, Shinkai S, Mori S, Arai T, Tanaka M. Identification of C21orf59 and ATG2A as novel determinants of renal function-related traits in Japanese by exome-wide association studies. Oncotarget 2017; 8:45259-45273. [PMID: 28410202 PMCID: PMC5542184 DOI: 10.18632/oncotarget.16696] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2017] [Accepted: 03/08/2017] [Indexed: 11/25/2022] Open
Abstract
We have performed exome-wide association studies to identify genetic variants that influence renal function-related traits or confer susceptibility to chronic kidney disease or hyperuricemia in Japanese. Exome-wide association studies for estimated glomerular filtration rate and the serum concentration of creatinine were performed with 12,565 individuals, that for the serum concentration of uric acid with 9934 individuals, and those for chronic kidney disease or hyperuricemia with 5161 individuals (3270 cases, 1891 controls) or 11,686 individuals (2045 cases, 9641 controls), respectively. The relation of genotypes of single nucleotide polymorphisms to estimated glomerular filtration rate or the serum concentrations of creatinine or uric acid was examined by linear regression analysis, and that of allele frequencies of single nucleotide polymorphisms to chronic kidney disease or hyperuricemia was examined with Fisher's exact test. The exome-wide association studies revealed that 25, seven, and six single nucleotide polymorphisms were significantly (P <1.21 × 10-6) associated with estimated glomerular filtration rate or the serum concentrations of creatinine or uric acid, respectively, and that 49 and 35 polymorphisms were significantly associated with chronic kidney disease or hyperuricemia, respectively. Subsequent multivariable logistic regression analysis with adjustment for covariates revealed that four and three single nucleotide polymorphisms were related (P < 0.05) to chronic kidney disease or hyperuricemia, respectively. Among polymorphisms identified in the present study, rs76974938 [C/T (D67N)] of C21orf59 and rs188780113 [G/A (R478C)] of ATG2A may be novel determinants of estimated glomerular filtration rate and chronic kidney disease or of the serum concentration of uric acid, respectively.
Collapse
Affiliation(s)
- Yoshiji Yamada
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Japan
- CREST, Japan Science and Technology Agency, Kawaguchi, Japan
| | - Jun Sakuma
- CREST, Japan Science and Technology Agency, Kawaguchi, Japan
- Computer Science Department, College of Information Science, University of Tsukuba, Tsukuba, Japan
- RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
| | - Ichiro Takeuchi
- CREST, Japan Science and Technology Agency, Kawaguchi, Japan
- RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- Department of Computer Science, Nagoya Institute of Technology, Nagoya, Japan
| | - Yoshiki Yasukochi
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Japan
- CREST, Japan Science and Technology Agency, Kawaguchi, Japan
| | - Kimihiko Kato
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Japan
- Department of Internal Medicine, Meitoh Hospital, Nagoya, Japan
| | - Mitsutoshi Oguri
- Department of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu, Japan
- Department of Cardiology, Kasugai Municipal Hospital, Kasugai, Japan
| | - Tetsuo Fujimaki
- Department of Cardiovascular Medicine, Inabe General Hospital, Inabe, Japan
| | - Hideki Horibe
- Department of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi, Japan
| | - Masaaki Muramatsu
- Department of Molecular Epidemiology, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
| | - Motoji Sawabe
- Section of Molecular Pathology, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yoshinori Fujiwara
- Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Yu Taniguchi
- Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Shuichi Obuchi
- Research Team for Promoting Support System for Home Care, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Hisashi Kawai
- Research Team for Promoting Support System for Home Care, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Shoji Shinkai
- Research Team for Social Participation and Health Promotion, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Seijiro Mori
- Center for Promotion of Clinical Investigation, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
| | - Tomio Arai
- Department of Pathology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
| | - Masashi Tanaka
- Department of Clinical Laboratory, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
| |
Collapse
|
33
|
Feng W, Chen B, Xing D, Li X, Fatima H, Jaimes EA, Sanders PW. Haploinsufficiency of the Transcription Factor Ets-1 Is Renoprotective in Dahl Salt-Sensitive Rats. J Am Soc Nephrol 2017; 28:3239-3250. [PMID: 28696249 DOI: 10.1681/asn.2017010085] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 05/22/2017] [Indexed: 11/03/2022] Open
Abstract
Studies using Dahl salt-sensitive (SS) rats identified specific quantitative trait loci that predispose animals to hypertension-associated albuminuria and kidney injury. We explored the hypothesis that kidney-specific expression of the transcription factor Ets-1, located within one of these loci on chromosome 8, mediates glomerular injury in SS hypertension. During the first week on a high-salt diet, SS rats and SS rats with only one functioning Ets-1 gene (ES rats) demonstrated similar increases in BP. However, serum creatinine concentration, albuminuria, and glomerular expression of ETS-1 and two ETS-1 targets, MCP-1 and MMP2, did not increase as substantially in ES rats as in SS rats. Mean BP subsequently increased further in SS rats and remained higher than that of ES rats for the rest of the study. After 4 weeks of high-salt intake, ES rats still showed a lower mean serum creatinine concentration and less albuminuria, as well as less histologic evidence of glomerular injury and kidney fibrosis, than SS rats did. To investigate the specific contribution of renal Ets-1, we transplanted kidneys from ES or SS rats into salt-resistant SS-Chr 13BN/McwiCrl (SS-13BN) rats. Within 10 days on a high-salt diet, BP increased similarly in ES and SS allograft recipients, becoming significantly higher than the BP of control isograft recipients. However, mean serum creatinine concentration and albuminuria remained lower in ES allograft recipients than in SS allograft recipients at 2 weeks, and ES allografts showed less glomerular injury and interstitial fibrosis. In conclusion, reduced renal expression of ETS-1 prevented hypertension-associated kidney injury in SS rats.
Collapse
Affiliation(s)
- Wenguang Feng
- Divisions of Nephrology and Cardiovascular Disease, Departments of Medicine,
| | - Bo Chen
- Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Dongqi Xing
- Divisions of Nephrology and Cardiovascular Disease, Departments of Medicine
| | - Xingsheng Li
- Divisions of Nephrology and Cardiovascular Disease, Departments of Medicine
| | - Huma Fatima
- Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Edgar A Jaimes
- Renal Service, Memorial Sloan Kettering Cancer Center, New York, New York; and
| | - Paul W Sanders
- Divisions of Nephrology and Cardiovascular Disease, Departments of Medicine.,Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama.,Department of Medicine, Veterans Affairs Medical Center, Birmingham, Alabama
| |
Collapse
|
34
|
Current epigenetic aspects the clinical kidney researcher should embrace. Clin Sci (Lond) 2017; 131:1649-1667. [DOI: 10.1042/cs20160596] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Revised: 04/17/2017] [Accepted: 04/19/2017] [Indexed: 02/06/2023]
Abstract
Chronic kidney disease (CKD), affecting 10–12% of the world’s adult population, is associated with a considerably elevated risk of serious comorbidities, in particular, premature vascular disease and death. Although a wide spectrum of causative factors has been identified and/or suggested, there is still a large gap of knowledge regarding the underlying mechanisms and the complexity of the CKD phenotype. Epigenetic factors, which calibrate the genetic code, are emerging as important players in the CKD-associated pathophysiology. In this article, we review some of the current knowledge on epigenetic modifications and aspects on their role in the perturbed uraemic milieu, as well as the prospect of applying epigenotype-based diagnostics and preventive and therapeutic tools of clinical relevance to CKD patients. The practical realization of such a paradigm will require that researchers apply a holistic approach, including the full spectrum of the epigenetic landscape as well as the variability between and within tissues in the uraemic milieu.
Collapse
|
35
|
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.
Collapse
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
| |
Collapse
|
36
|
Chen T, Wang Q, Li G, Wang L. A single nucleotide polymorphism in the UMOD promoter is associated with end stage renal disease. BMC MEDICAL GENETICS 2016; 17:95. [PMID: 27938332 PMCID: PMC5148830 DOI: 10.1186/s12881-016-0358-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 12/02/2016] [Indexed: 01/15/2023]
Abstract
BACKGROUND Several genome-wide association studies revealed that several variants of UMOD gene were related to the estimated glomerular filtration rate (eGFR), CKD or hypertension. In this study, we investigated the association between a common variant rs13333226 in the promoter region of UMOD gene and end stage renal disease (ESRD). METHODS Variant rs13333226 of UMOD gene was genotyped by using the ABI Real time TaqMan allelic discrimination assay in a case-control study including 638 unrelated patients with ESRD and 366 controls. RESULTS The frequency of UMOD SNP rs13333226 GG/GA genotype was significantly higher (36.83% vs. 20.22%, P = 4.02 × 10-8) and the frequency of G allele was much higher (19.04% vs. 11.20%, P = 4.00 × 10-6) in the patients with ESRD than in the controls. The G allele was associated with an increased risk of ESRD (odds ratio 2.30, 95% confidence interval 1.70-3.11, P = 6.10 × 10-8). And G allele (odds ratio 2.33, 95% confidence interval 1.32-4.13, P = 3.65 × 10-3) was associated independently with ESRD. CONCLUSIONS A common variation rs13333226 in the promoter region of UMOD gene was independently associated with ESRD in Han Chinese.
Collapse
Affiliation(s)
- Tingyu Chen
- Renal Division and Institute of Nephrology, Sichuan Provincial People's Hospital, No. 32, West 2nd Duan, 1st Circle Rd., Qingyang District, Chengdu, Sichuan, 610072, People's Republic of China
| | - Qianliao Wang
- Renal Division and Institute of Nephrology, Sichuan Provincial People's Hospital, No. 32, West 2nd Duan, 1st Circle Rd., Qingyang District, Chengdu, Sichuan, 610072, People's Republic of China
| | - Guisen Li
- Renal Division and Institute of Nephrology, Sichuan Provincial People's Hospital, No. 32, West 2nd Duan, 1st Circle Rd., Qingyang District, Chengdu, Sichuan, 610072, People's Republic of China. .,School of Medicine, University of Electronic Science and Technology of China, No. 32, West 2nd Duan, 1st Circle Rd., Qingyang District, Chengdu, Sichuan, 610072, People's Republic of China.
| | - Li Wang
- Renal Division and Institute of Nephrology, Sichuan Provincial People's Hospital, No. 32, West 2nd Duan, 1st Circle Rd., Qingyang District, Chengdu, Sichuan, 610072, People's Republic of China.,School of Medicine, University of Electronic Science and Technology of China, No. 32, West 2nd Duan, 1st Circle Rd., Qingyang District, Chengdu, Sichuan, 610072, People's Republic of China
| |
Collapse
|
37
|
Duffy DL, McDonald SP, Hayhurst B, Panagiotopoulos S, Smith TJ, Wang XL, Wilcken DE, Duarte NL, Mathews J, Hoy WE. Familial aggregation of albuminuria and arterial hypertension in an Aboriginal Australian community and the contribution of variants in ACE and TP53. BMC Nephrol 2016; 17:183. [PMID: 27871254 PMCID: PMC5117595 DOI: 10.1186/s12882-016-0396-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2015] [Accepted: 11/09/2016] [Indexed: 12/19/2022] Open
Abstract
Background Aboriginal Australians are at high risk of cardiovascular, metabolic and renal diseases, resulting in a marked reduction in life expectancy when compared to the rest of the Australian population. This is partly due to recognized environmental and lifestyle risk factors, but a contribution of genetic susceptibility is also likely. Methods Using results from a comprehensive survey of one community (N = 1350 examined individuals), we have tested for familial aggregation of plasma glucose, arterial blood pressure, albuminuria (measured as urinary albumin to creatinine ratio, UACR) and estimated glomerular filtration rate (eGFR), and quantified the contribution of variation at four candidate genes (ACE; TP53; ENOS3; MTHFR). Results In the subsample of 357 individuals with complete genotype and phenotype data we showed that both UACR (h2 = 64%) and blood pressure (sBP h2 = 29%, dBP, h2 = 11%) were significantly heritable. The ACE insertion-deletion (P = 0.0009) and TP53 codon72 polymorphisms (P = 0.003) together contributed approximately 15% of the total heritability of UACR, with an effect of ACE genotype on BP also clearly evident. Conclusions While the effects of the ACE insertion-deletion on risk of renal disease (especially in the setting of diabetes) are well recognized, this is only the second study to implicate p53 genotype as a risk factor for albuminuria - the other being an earlier study we performed in a different Aboriginal community (McDonald et al., J Am Soc Nephrol 13: 677-83, 2002). We conclude that there are significant genetic contributions to the high prevalence of chronic diseases observed in this population. Electronic supplementary material The online version of this article (doi:10.1186/s12882-016-0396-2) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- David L Duffy
- Genetic Epidemiology Laboratory, QIMR Berghofer Institute of Medical Research, 300 Herston Rd, Brisbane, 4006, Australia
| | | | - Beverley Hayhurst
- Cradle Coast Authority, Tasmania, Formerly Menzies School of Health Research, Darwin, Australia
| | | | - Trudy J Smith
- Menzies School of Health Research, Darwin, Australia
| | - Xing L Wang
- Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, Texas, Australia
| | - David E Wilcken
- Cardiovascular Genetics Department, Prince of Wales Hospital, Sydney, Australia
| | - Natalia L Duarte
- Cardiovascular Genetics Department, Prince of Wales Hospital, Sydney, Australia
| | - John Mathews
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Wendy E Hoy
- Centre for Chronic Disease, The University of Queensland School of Medicine, Brisbane, Australia.,Centre for Chronic Disease, Central Clinical School, Royal Brisbane Hospital, Queensland, 4029, Australia
| |
Collapse
|
38
|
Zhou XJ, Nath SK, Qi YY, Sun C, Hou P, Zhang YM, Lv JC, Shi SF, Liu LJ, Chen R, Yang W, He KZ, Li Y, Zhang H. Novel identified associations of RGS1 and RASGRP1 variants in IgA Nephropathy. Sci Rep 2016; 6:35781. [PMID: 27804980 PMCID: PMC5090199 DOI: 10.1038/srep35781] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Accepted: 10/05/2016] [Indexed: 12/21/2022] Open
Abstract
Known susceptibility loci together can only explain about 6-8% of the disease heritability of IgA nephropathy (IgAN), suggesting that there are still a large number of genetic variants remained to be discovered. We previously identified IgAN and systemic lupus erythematosus (SLE)/lupus nephritis (LN) shared many loci based on GWAS on Chinese populations. The more recent study with high-density genotyping of immune-related loci in individuals with Asian ancestry identified 10 new and 6 suggestive loci in SLE. In the current study, we thus included all the lead SNPs from these 16 loci reported, and firstly tested their associations in 1,248 patients with sporadic IgAN, 737 patients with LN and 1,187 controls. Significant associations identified in IgAN were replicated in additional 500 patients and 2372 controls. rs12022418 in RGS1 (p = 3.0 × 10-6) and rs7170151 in RASGRP1 (p = 1.9 × 10-5) showed novel associations in IgAN. Compared to SNPs that were in LD with them, the associated variants showed higher potential of regulatory features by affecting gene expression. And systemic evaluation of GWAS data supported the pleiotropic effects of RGS1 and RASGRP1 variants in mediating human complex diseases. In conclusion, novel risk loci shared between IgAN and SLE/LN were identified, which may shed new light to exploit the potential pathogenesis for those two diseases.
Collapse
Affiliation(s)
- Xu-Jie Zhou
- Renal Division, Peking University First Hospital; Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; and Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education; Beijing, 100034, People's Republic of China
| | - Swapan K Nath
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA
| | - Yuan-Yuan Qi
- Renal Division, Peking University First Hospital; Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; and Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education; Beijing, 100034, People's Republic of China
| | - Celi Sun
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA
| | - Ping Hou
- Renal Division, Peking University First Hospital; Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; and Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education; Beijing, 100034, People's Republic of China
| | - Yue-Miao Zhang
- Renal Division, Peking University First Hospital; Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; and Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education; Beijing, 100034, People's Republic of China
| | - Ji-Cheng Lv
- Renal Division, Peking University First Hospital; Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; and Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education; Beijing, 100034, People's Republic of China
| | - Su-Fang Shi
- Renal Division, Peking University First Hospital; Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; and Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education; Beijing, 100034, People's Republic of China
| | - Li-Jun Liu
- Renal Division, Peking University First Hospital; Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; and Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education; Beijing, 100034, People's Republic of China
| | - Ruoyan Chen
- Department of Paediatrics and Adolescent Medicine Centre for Genomic Sciences, Queen Mary Hospital, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Wanling Yang
- Department of Paediatrics and Adolescent Medicine Centre for Genomic Sciences, Queen Mary Hospital, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Kevin Zhi He
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Yanming Li
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Hong Zhang
- Renal Division, Peking University First Hospital; Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; and Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education; Beijing, 100034, People's Republic of China
| |
Collapse
|
39
|
Das DK, Naidoo M, Ilboudo A, Park JY, Ali T, Krampis K, Robinson BD, Osborne JR, Ogunwobi OO. miR-1207-3p regulates the androgen receptor in prostate cancer via FNDC1/fibronectin. Exp Cell Res 2016; 348:190-200. [PMID: 27693493 PMCID: PMC5077722 DOI: 10.1016/j.yexcr.2016.09.021] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2016] [Revised: 09/22/2016] [Accepted: 09/28/2016] [Indexed: 02/02/2023]
Abstract
Prostate cancer (PCa) is frequently diagnosed in men, and dysregulation of microRNAs is characteristic of many cancers. MicroRNA-1207-3p is encoded at the non-protein coding gene locus PVT1 on the 8q24 human chromosomal region, an established PCa susceptibility locus. However, the role of microRNA-1207-3p in PCa is unclear. We discovered that microRNA-1207-3p is significantly underexpressed in PCa cell lines in comparison to normal prostate epithelial cells. Increased expression of microRNA-1207-3p in PCa cells significantly inhibits proliferation, migration, and induces apoptosis via direct molecular targeting of FNDC1, a protein which contains a conserved protein domain of fibronectin (FN1). FNDC1, FN1, and the androgen receptor (AR) are significantly overexpressed in PCa cell lines and human PCa, and positively correlate with aggressive PCa. Prostate tumor FN1 expression in patients that experienced PCa-specific death is significantly higher than in patients that remained alive. Furthermore, FNDC1, FN1 and AR are concomitantly overexpressed in metastatic PCa. Consequently, these studies have revealed a novel microRNA-1207-3p/FNDC1/FN1/AR regulatory pathway in PCa.
Collapse
Affiliation(s)
- Dibash K Das
- Department of Biological Sciences, Hunter College of The City University of New York, New York, NY 10065, USA; The Graduate Center Departments of Biology and Biochemistry, The City University of New York, New York, NY 10016, USA; Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY 10065, USA
| | - Michelle Naidoo
- Department of Biological Sciences, Hunter College of The City University of New York, New York, NY 10065, USA
| | - Adeodat Ilboudo
- Department of Biological Sciences, Hunter College of The City University of New York, New York, NY 10065, USA
| | - Jong Y Park
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida 33612, USA
| | - Thahmina Ali
- Department of Biological Sciences, Hunter College of The City University of New York, New York, NY 10065, USA
| | - Konstantinos Krampis
- Department of Biological Sciences, Hunter College of The City University of New York, New York, NY 10065, USA; Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, Cornell University, New York, NY 10065, USA
| | - Brian D Robinson
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, Cornell University, New York, NY 10065, USA; Department of Urology, Weill Cornell Medicine, Cornell University, New York, NY 10065, USA
| | - Joseph R Osborne
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Olorunseun O Ogunwobi
- Department of Biological Sciences, Hunter College of The City University of New York, New York, NY 10065, USA; The Graduate Center Departments of Biology and Biochemistry, The City University of New York, New York, NY 10016, USA; Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY 10065, USA.
| |
Collapse
|
40
|
Parsa A, Kanetsky PA, Xiao R, Gupta J, Mitra N, Limou S, Xie D, Xu H, Anderson AH, Ojo A, Kusek JW, Lora CM, Hamm LL, He J, Sandholm N, Jeff J, Raj DE, Böger CA, Bottinger E, Salimi S, Parekh RS, Adler SG, Langefeld CD, Bowden DW, Groop PH, Forsblom C, Freedman BI, Lipkowitz M, Fox CS, Winkler CA, Feldman HI. Genome-Wide Association of CKD Progression: The Chronic Renal Insufficiency Cohort Study. J Am Soc Nephrol 2016; 28:923-934. [PMID: 27729571 DOI: 10.1681/asn.2015101152] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Accepted: 08/25/2016] [Indexed: 11/03/2022] Open
Abstract
The rate of decline of renal function varies significantly among individuals with CKD. To understand better the contribution of genetics to CKD progression, we performed a genome-wide association study among participants in the Chronic Renal Insufficiency Cohort Study. Our outcome of interest was CKD progression measured as change in eGFR over time among 1331 blacks and 1476 whites with CKD. We stratified all analyses by race and subsequently, diabetes status. Single-nucleotide polymorphisms (SNPs) that surpassed a significance threshold of P<1×10-6 for association with eGFR slope were selected as candidates for follow-up and secondarily tested for association with proteinuria and time to ESRD. We identified 12 such SNPs among black patients and six such SNPs among white patients. We were able to conduct follow-up analyses of three candidate SNPs in similar (replication) cohorts and eight candidate SNPs in phenotype-related (validation) cohorts. Among blacks without diabetes, rs653747 in LINC00923 replicated in the African American Study of Kidney Disease and Hypertension cohort (discovery P=5.42×10-7; replication P=0.039; combined P=7.42×10-9). This SNP also associated with ESRD (hazard ratio, 2.0 (95% confidence interval, 1.5 to 2.7); P=4.90×10-6). Similarly, rs931891 in LINC00923 associated with eGFR decline (P=1.44×10-4) in white patients without diabetes. In summary, SNPs in LINC00923, an RNA gene expressed in the kidney, significantly associated with CKD progression in individuals with nondiabetic CKD. However, the lack of equivalent cohorts hampered replication for most discovery loci. Further replication of our findings in comparable study populations is warranted.
Collapse
Affiliation(s)
- Afshin Parsa
- Division of Nephrology and .,Department of Medicine, Baltimore Veterans Affairs Medical Center, Baltimore, Maryland
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Rui Xiao
- Department of Biostatistics and Epidemiology and
| | - Jayanta Gupta
- Department of Health Sciences, College of Health Professions and Social Work, Florida Gulf Coast University, Fort Myers, FL
| | | | - Sophie Limou
- Molecular Genetic Epidemiology Section, Basic Research Laboratory, Center for Cancer Research, National Cancer Institute and Basic Science Program, Leidos Biomedical Research, Inc., Frederick National Laboratory, Frederick, Maryland
| | - Dawei Xie
- Department of Biostatistics and Epidemiology and
| | | | - Amanda Hyre Anderson
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Akinlolu Ojo
- Division of Nephrology, University of Michigan, Ann Arbor, Michigan
| | - John W Kusek
- Division of Kidney, Urologic and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Claudia M Lora
- Department of Medicine, Division of Nephrology, University of Illinois at Chicago, Chicago, Illinois
| | - L Lee Hamm
- Department of Medicine, Section of Nephrology, Tulane University, New Orleans, Louisiana
| | - Jiang He
- Department of Medicine, Section of Nephrology, Tulane University, New Orleans, Louisiana
| | - Niina Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Janina Jeff
- Department of Medicine, The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine Mount Sinai, New York, New York
| | - Dominic E Raj
- Department of Medicine, The George Washington University School of Medicine, Washington, DC
| | - Carsten A Böger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Erwin Bottinger
- Department of Medicine, The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine Mount Sinai, New York, New York
| | - Shabnam Salimi
- Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland
| | - Rulan S Parekh
- Division of Nephrology, Department of Pediatrics and Medicine, Hospital for Sick Children, University Health Network and the University of Toronto, Toronto, Ontario, Canada
| | - Sharon G Adler
- Department of Medicine, Division of Nephrology and Hypertension, Harbor-University of California, Los Angeles Medical Center, Los Angeles, California
| | | | | | | | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Carol Forsblom
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Michael Lipkowitz
- Department of Medicine, Georgetown University Medical Center, Washington, DC; and
| | - Caroline S Fox
- Division of Intramural Research, National Heart, Lung and Blood Institute's Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, Massachusetts
| | | | - Harold I Feldman
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | | |
Collapse
|
41
|
Gupta J, Kanetsky PA, Wuttke M, Köttgen A, Schaefer F, Wong CS. Genome-wide association studies in pediatric chronic kidney disease. Pediatr Nephrol 2016; 31:1241-52. [PMID: 26490952 PMCID: PMC5287054 DOI: 10.1007/s00467-015-3235-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Revised: 09/20/2015] [Accepted: 09/22/2015] [Indexed: 01/13/2023]
Abstract
The genome-wide association study (GWAS) has become an established scientific method that provides an unbiased screen for genetic loci potentially associated with phenotypes of clinical interest, such as chronic kidney disease (CKD). Thus, GWAS provides opportunities to gain new perspectives regarding the genetic architecture of CKD progression by identifying new candidate genes and targets for intervention. As such, it has become an important arm of translational science providing a complementary line of investigation to identify novel therapeutics to treat CKD. In this review, we describe the method and the challenges of performing GWAS in the pediatric CKD population. We also provide an overview of successful GWAS for kidney disease, and we discuss the established pediatric CKD cohorts in North America and Europe that are poised to identify genetic risk variants associated with CKD progression.
Collapse
Affiliation(s)
- Jayanta Gupta
- Department of Biomedical Sciences, Texas Tech University Health Sciences Center, El Paso, TX, USA
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Matthias Wuttke
- Renal Division, Medical Center - University of Freiburg, Freiburg, Germany
| | - Anna Köttgen
- Renal Division, Medical Center - University of Freiburg, Freiburg, Germany
| | - Franz Schaefer
- Pediatric Nephrology Division, University of Heidelberg, Heidelberg, Germany
| | - Craig S Wong
- Department of Pediatrics, Division of Nephrology, University of New Mexico Children's Hospital, MSC10-5590 1 University of New Mexico, Albuquerque, 87131-0001, NM, USA.
| |
Collapse
|
42
|
Tin A, Balakrishnan P, Beaty TH, Boerwinkle E, Hoogeveen RC, Young JH, Kao WHL. GCKR and PPP1R3B identified as genome-wide significant loci for plasma lactate: the Atherosclerosis Risk in Communities (ARIC) study. Diabet Med 2016; 33:968-75. [PMID: 26433129 PMCID: PMC4819009 DOI: 10.1111/dme.12971] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/28/2015] [Indexed: 12/22/2022]
Abstract
AIM To investigate the genetic influence of circulating lactate level, a marker of oxidative capacity associated with diabetes. METHODS We conducted a genome-wide association study of log-transformed plasma lactate levels in 6901 European-American participants in the Atherosclerosis Risk in Communities study. For regions that achieved genome-wide significance in European-American participants, we conducted candidate region analysis in African-American subjects and tested for interaction between metformin use and the index single nucleotide polymorphisms for plasma lactate in European-American subjects. RESULTS The genome-wide association study in European-American subjects identified two genome-wide significant loci, GCKR (rs1260326, T allele β=0.08; P=1.8×10(-47) ) and PPP1R3B/LOC157273 (rs9987289, A allele β=0.06; P=1.6×10(-9) ). The index single nucleotide polymorphisms in these two loci explain 3.3% of the variance in log-transformed plasma lactate levels among the European-American subjects. In the African-American subjects, based on a region-significant threshold, the index single nucleotide polymorphism at GCKR was associated with plasma lactate but that at PPP1R3B/LOC157273 was not. Metformin use appeared to strengthen the association between the index single nucleotide polymorphism at PPP1R3B/LOC157273 and plasma lactate in European-American subjects (P for interaction=0.01). CONCLUSIONS We identified GCKR and PPP1R3B/LOC157273 as two genome-wide significant loci of plasma lactate. Both loci are associated with other diabetes-related phenotypes. These findings increase our understanding of the genetic control of lactate metabolism.
Collapse
Affiliation(s)
- A Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - P Balakrishnan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - T H Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - E Boerwinkle
- Human Genetics Center, University of Texas School of Public Health, Houston, TX, USA
| | - R C Hoogeveen
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, TX, USA
| | - J H Young
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, The Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - W H L Kao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| |
Collapse
|
43
|
Characterizing Blood Metabolomics Profiles Associated with Self-Reported Food Intakes in Female Twins. PLoS One 2016; 11:e0158568. [PMID: 27355821 PMCID: PMC4927065 DOI: 10.1371/journal.pone.0158568] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 06/19/2016] [Indexed: 12/15/2022] Open
Abstract
Using dietary biomarkers in nutritional epidemiological studies may better capture exposure and improve the level at which diet-disease associations can be established and explored. Here, we aimed to identify and evaluate reproducibility of novel biomarkers of reported habitual food intake using targeted and non-targeted metabolomic blood profiling in a large twin cohort. Reported intakes of 71 food groups, determined by FFQ, were assessed against 601 fasting blood metabolites in over 3500 adult female twins from the TwinsUK cohort. For each metabolite, linear regression analysis was undertaken in the discovery group (excluding MZ twin pairs discordant [≥1 SD apart] for food group intake) with each food group as a predictor adjusting for age, batch effects, BMI, family relatedness and multiple testing (1.17x10-6 = 0.05/[71 food groups x 601 detected metabolites]). Significant results were then replicated (non-targeted: P<0.05; targeted: same direction) in the MZ discordant twin group and results from both analyses meta-analyzed. We identified and replicated 180 significant associations with 39 food groups (P<1.17x10-6), overall consisting of 106 different metabolites (74 known and 32 unknown), including 73 novel associations. In particular we identified trans-4-hydroxyproline as a potential marker of red meat intake (0.075[0.009]; P = 1.08x10-17), ergothioneine as a marker of mushroom consumption (0.181[0.019]; P = 5.93x10-22), and three potential markers of fruit consumption (top association: apple and pears): including metabolites derived from gut bacterial transformation of phenolic compounds, 3-phenylpropionate (0.024[0.004]; P = 1.24x10-8) and indolepropionate (0.026[0.004]; P = 2.39x10-9), and threitol (0.033[0.003]; P = 1.69x10-21). With the largest nutritional metabolomics dataset to date, we have identified 73 novel candidate biomarkers of food intake for potential use in nutritional epidemiological studies. We compiled our findings into the DietMetab database (http://www.twinsuk.ac.uk/dietmetab-data/), an online tool to investigate our top associations.
Collapse
|
44
|
Riobello C, Gómez J, Gil-Peña H, Tranche S, Reguero JR, de la Hera JM, Delgado E, Calvo D, Morís C, Santos F, Coto-Segura P, Iglesias S, Alonso B, Alvarez V, Coto E. KCNQ1 gene variants in the risk for type 2 diabetes and impaired renal function in the Spanish Renastur cohort. Mol Cell Endocrinol 2016; 427:86-91. [PMID: 26970180 DOI: 10.1016/j.mce.2016.03.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2015] [Revised: 03/04/2016] [Accepted: 03/06/2016] [Indexed: 12/22/2022]
Abstract
Several common KCNQ1 gene polymorphisms have been associated with the risk of type 2 diabetes (T2DM) and diabetic nephropathy. This effect is explained by the role of the kcnq1 protein as a potassium channel that in the pancreatic beta-cells drives an electrical signal that facilitates glucose-stimulated insulin secretion. The KCNQ1 gene is also expressed in the kidney, and could thus be implicated in the risk of developing impaired renal function. To test this hypothesis, we genotyped six common KCNQ1 gene variants (three single nucleotide polymorphisms, rs2237892, rs2237895, and rs231362, and three intronic indels) in 681 healthy elderly individuals (>65 years old) from the Spanish Renastur cohort. None of the six variants was associated with T2DM (180 diabetics vs. 581 non-diabetics). The intron 12 insertion allele was associated with a reduced estimated glomerular filtration rate (eGFR<60, n = 90 vs. eGFR≥60, n = 591; II vs ID + DD genotypes, p = 0.031, OR = 2.06, 95%CI = 1.12-4.14). We also performed a next generation sequencing search of variants in the coding regions of the KCNQ1 gene in 100 individuals with the extreme eGFR values. We found two rare amino acid changes (p.K393N and p.P408A) and the 393 Asn variant was found only among diabetics (n = 4; p = 0.05). The two rare alleles were present in the two eGFR groups. Our results suggest that a common KCNQ1 intron 12 indel polymorphism is a risk factor for impaired renal function independent of T2DM. If this association is confirmed by others, further research to determine the mechanism that drives this association would be warranted.
Collapse
Affiliation(s)
| | - Juan Gómez
- Genética Molecular-Laboratorio Medicina, HUCA, Oviedo, Spain
| | | | | | | | | | - Elías Delgado
- Endocrinología, HUCA, Oviedo, Spain; Universidad de Oviedo, Oviedo, Spain
| | - David Calvo
- Cardiología-Fundación Asturcor, HUCA, Oviedo, Spain
| | - César Morís
- Cardiología-Fundación Asturcor, HUCA, Oviedo, Spain; Universidad de Oviedo, Oviedo, Spain
| | - Fernando Santos
- Pediatría, HUCA, Oviedo, Spain; Universidad de Oviedo, Oviedo, Spain
| | - Pablo Coto-Segura
- Dermatología, HUCA, Oviedo, Spain; Universidad de Oviedo, Oviedo, Spain
| | - Sara Iglesias
- Genética Molecular-Laboratorio Medicina, HUCA, Oviedo, Spain
| | - Belén Alonso
- Genética Molecular-Laboratorio Medicina, HUCA, Oviedo, Spain
| | | | - Eliecer Coto
- Genética Molecular-Laboratorio Medicina, HUCA, Oviedo, Spain; Universidad de Oviedo, Oviedo, Spain; Red investigacion renal (REDINREN), Madrid, Spain.
| |
Collapse
|
45
|
Identification of genetic loci stratified by diabetic status and microRNA related SNPs influencing kidney function in Korean populations. Genes Genomics 2016. [DOI: 10.1007/s13258-016-0411-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
46
|
Nadkarni GN, Horowitz CR. Genomics in CKD: Is This the Path Forward? Adv Chronic Kidney Dis 2016; 23:120-4. [PMID: 26979150 DOI: 10.1053/j.ackd.2016.01.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2016] [Accepted: 01/26/2016] [Indexed: 01/13/2023]
Abstract
Recent advances in genomics and sequencing technology have led to a better understanding of genetic risk in CKD. Genetics could account in part for racial differences in treatment response for medications including antihypertensives and immunosuppressive medications due to its correlation with ancestry. However, there is still a substantial lag between generation of this knowledge and its adoption in routine clinical care. This review summarizes the recent advances in genomics and CKD, discusses potential reasons for its underutilization, and highlights potential avenues for application of genomic information to improve clinical care and outcomes in this particularly vulnerable population.
Collapse
|
47
|
Harshman LA, Zepeda-Orozco D. Genetic Considerations in Pediatric Chronic Kidney Disease. J Pediatr Genet 2016; 5:43-50. [PMID: 27617141 PMCID: PMC4918706 DOI: 10.1055/s-0035-1557111] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Accepted: 02/27/2015] [Indexed: 02/07/2023]
Abstract
Chronic kidney disease (CKD) in children is an irreversible process that, in some cases, may lead to end-stage renal disease. The majority of children with CKD have a congenital disorder of the kidney or urological tract arising from birth. There is strong evidence for both a genetic and epigenetic component to progression of CKD. Utilization of gene-mapping strategies, ranging from genome-wide association studies to single-nucleotide polymorphism analysis, serves to identify potential genetic variants that may lend to disease variation. Genome-wide association studies evaluating population-based data have identified different loci associated with CKD progression. Analysis of single-nucleotide polymorphisms on an individual level suggests that secondary systemic sequelae of CKD are closely related to dysfunction of the cardiovascular-inflammatory axis and may lead to advanced cardiovascular disease through abnormal vascular calcification and activation of the renin-angiotensin system. Similarly, genetic variants affecting cytokine control, fibrosis, and parenchymal development may modulate CKD through development and acceleration of renal interstitial fibrosis. Epigenetic studies evaluate modification of the genome through DNA methylation, histone modification, or RNA interference, which may be directly influenced by external or environmental factors directing genomic expression. Lastly, improved understanding of the genetic and epigenetic contribution to CKD progression may allow providers to identify a population at accelerated risk for disease progression and apply novel therapies targeted at the genetic mechanism of disease.
Collapse
Affiliation(s)
- Lyndsay A. Harshman
- Division of Pediatric Nephrology, Stead Family Department of Pediatrics, University of Iowa Children's Hospital, Iowa City, Iowa, United States
| | - Diana Zepeda-Orozco
- Division of Pediatric Nephrology, Stead Family Department of Pediatrics, University of Iowa Children's Hospital, Iowa City, Iowa, United States
| |
Collapse
|
48
|
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun 2016; 7:10023. [PMID: 26831199 PMCID: PMC4735748 DOI: 10.1038/ncomms10023] [Citation(s) in RCA: 363] [Impact Index Per Article: 45.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 10/27/2015] [Indexed: 11/23/2022] Open
Abstract
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways. Reduced glomerular filtration rate (eGFR) is a hallmark of chronic kidney disease. Here, Pattaro et al. conduct a meta-analysis to discover several new loci associated with variation in eGFR and find that genes associated with eGFR loci often encode proteins potentially related to kidney development.
Collapse
|
49
|
Khan A, Tian L, Zhang C, Yuan K, Xu S. Genetic diversity and natural selection footprints of the glycine amidinotransferase gene in various human populations. Sci Rep 2016; 6:18755. [PMID: 26729229 PMCID: PMC4700420 DOI: 10.1038/srep18755] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Accepted: 11/23/2015] [Indexed: 12/02/2022] Open
Abstract
The glycine amidinotransferase gene (GATM) plays a vital role in energy metabolism in muscle tissues and is associated with multiple clinically important phenotypes. However, the genetic diversity of the GATM gene remains poorly understood within and between human populations. Here we analyzed the 1,000 Genomes Project data through population genetics approaches and observed significant genetic diversity across the GATM gene among various continental human populations. We observed considerable variations in GATM allele frequencies and haplotype composition among different populations. Substantial genetic differences were observed between East Asian and European populations (FST = 0.56). In addition, the frequency of a distinct major GATM haplotype in these groups was congruent with population-wide diversity at this locus. Furthermore, we identified GATM as the top differentiated gene compared to the other statin drug response-associated genes. Composite multiple analyses identified signatures of positive selection at the GATM locus, which was estimated to have occurred around 850 generations ago in European populations. As GATM catalyzes the key step of creatine biosynthesis involved in energy metabolism, we speculate that the European prehistorical demographic transition from hunter-gatherer to farming cultures was the driving force of selection that fulfilled creatine-based metabolic requirement of the populations.
Collapse
Affiliation(s)
- Asifullah Khan
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese academy of Sciences, Shanghai 200031, China.,Department of Biochemistry, Abdul Wali Khan University Mardan (AWKUM), Mardan, Khyber Pakhthunkhwa, Pakistan
| | - Lei Tian
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese academy of Sciences, Shanghai 200031, China
| | - Chao Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese academy of Sciences, Shanghai 200031, China
| | - Kai Yuan
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese academy of Sciences, Shanghai 200031, China
| | - Shuhua Xu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese academy of Sciences, Shanghai 200031, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai 200031, China.,Collaborative Innovation Center of Genetics and Development, Shanghai 200438, China
| |
Collapse
|
50
|
Yamaguchi J, Tanaka T, Nangaku M. Recent advances in understanding of chronic kidney disease. F1000Res 2015; 4:F1000 Faculty Rev-1212. [PMID: 26937272 PMCID: PMC4752023 DOI: 10.12688/f1000research.6970.1] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/04/2015] [Indexed: 12/20/2022] Open
Abstract
Chronic kidney disease (CKD) is defined as any condition that causes reduced kidney function over a period of time. Fibrosis, tubular atrophy and interstitial inflammation are the hallmark of pathological features in CKD. Regardless of initial insult, CKD has some common pathways leading CKD to end-stage kidney disease, including hypoxia in the tubulointerstitium and proteinuria. Recent advances in genome editing technologies and stem cell research give great insights to understand the pathogenesis of CKD, including identifications of the origins of renal myofibroblasts and tubular epithelial cells upon injury. Environmental factors such as hypoxia, oxidative stress, and epigenetic factors in relation to CKD are also discussed.
Collapse
Affiliation(s)
- Junna Yamaguchi
- Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, 113-0033, Japan
| | - Tetsuhiro Tanaka
- Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, 113-0033, Japan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, 113-0033, Japan
| |
Collapse
|