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Osman W, Mousa M, Albreiki M, Baalfaqih Z, Daggag H, Hill C, McKnight AJ, Maxwell AP, Al Safar H. A genome-wide association study identifies a possible role for cannabinoid signalling in the pathogenesis of diabetic kidney disease. Sci Rep 2023; 13:4661. [PMID: 36949158 PMCID: PMC10033677 DOI: 10.1038/s41598-023-31701-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 03/16/2023] [Indexed: 03/24/2023] Open
Abstract
Diabetic kidney disease (DKD), also known as diabetic nephropathy, is the leading cause of renal impairment and end-stage renal disease. Patients with diabetes are at risk for DKD because of poor control of their blood glucose, as well as nonmodifiable risk factors including age, ethnicity, and genetics. This genome-wide association study (GWAS) was conducted for the first time in the Emirati population to investigate possible genetic factors associated with the development and progression of DKD. We included data on 7,921,925 single nucleotide polymorphism (SNPs) in 258 cases of type 2 diabetes mellitus (T2DM) who developed DKD and 938 control subjects with T2DM who did not develop DKD. GWAS suggestive results (P < 1 × 10-5) were further replicated using summary statistics from three cohorts with T2DM-induced DKD (Bio Bank Japan data, UK Biobank, and FinnGen Project data) and T1DM-induced DKD (UK-ROI cohort data from Belfast, UK). When conducting a multiple linear regression model for gene-set analyses, the CNR2 gene demonstrated genome-wide significance at 1.46 × 10-6. SNPs in CNR2 gene, encodes cannabinoid receptor 2 or CB2, were replicated in Japanese samples with the leading SNP rs2501391 showing a Pcombined = 9.3 × 10-7, and odds ratio = 0.67 in association with DKD associated with T2DM, but not with T1DM, without any significant association with T2DM itself. The allele frequencies of our cohort and those of the replication cohorts were in most cases markedly different. In addition, we replicated the association between rs1564939 in the GLRA3 gene and DKD in T2DM (P = 0.016, odds ratio = 0.54 per allele C). Our findings suggest evidence that cannabinoid signalling may be involved in the development of DKD through CB2, which is expressed in different kidney regions and known to be involved in insulin resistance, inflammation, and the development of kidney fibrosis.
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Affiliation(s)
- Wael Osman
- Center for Biotechnology, Khalifa University, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Biology, College of Arts and Sciences, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Mira Mousa
- Center for Biotechnology, Khalifa University, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Mohammed Albreiki
- Center for Biotechnology, Khalifa University, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Zahrah Baalfaqih
- Center for Biotechnology, Khalifa University, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Hinda Daggag
- Imperial College of London Diabetes Centre, Abu Dhabi, United Arab Emirates
| | - Claire Hill
- Centre for Public Health, Queen's University of Belfast, Belfast, UK
| | | | | | - Habiba Al Safar
- Center for Biotechnology, Khalifa University, PO Box 127788, Abu Dhabi, United Arab Emirates.
- Department of Biomedical Engineering, College of Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
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The genetic side of diabetic kidney disease: a review. Int Urol Nephrol 2023; 55:335-343. [PMID: 35974289 DOI: 10.1007/s11255-022-03319-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 07/24/2022] [Indexed: 01/25/2023]
Abstract
BACKGROUND Diabetic kidney disease (DKD) is one of the most common complications of diabetes, with approximately 30-40% of patients with type 1 diabetes mellitus and 20% of patients with type 2 diabetes mellitus eventually developing DKD. If DKD is not controlled in the early clinical stage and proteinuria develops, the disease will progress to end-stage renal disease. The pathogenesis of DKD remains largely unknown and is multifactorial, likely due to interactions between genetic and environmental factors. Familial clustering also supports a critical role of hereditary factors in DKD. The development of gene detection technology has promoted the exploration of DKD susceptibility genes in different cohorts of patients with diabetes. Identifying susceptibility genes can provide insights into the pathogenesis of DKD, as well as a basis for its clinical diagnosis and therapy. RESULTS Numerous candidate gene loci have been found to be associated with DKD, many of which play critical regulatory roles in the pathogenesis of this disease, including genes involved in glycol-metabolism, lipid metabolism, the renin-angiotensin-aldosterone system, inflammation and oxidative stress. In this review, we summarize the functions of several susceptibility genes involved in the development of DKD. CONCLUSION Based on our findings, we recommend that studying susceptibility gene polymorphisms can lead to a better understanding of the pathogenesis of DKD and could help prevent this disease or improve its outcomes.
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Jin H, Kim YA, Lee Y, Kwon SH, Do AR, Seo S, Won S, Seo JH. Identification of genetic variants associated with diabetic kidney disease in multiple Korean cohorts via a genome-wide association study mega-analysis. BMC Med 2023; 21:16. [PMID: 36627639 PMCID: PMC9832630 DOI: 10.1186/s12916-022-02723-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 12/28/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The pathogenesis of diabetic kidney disease (DKD) is complex, involving metabolic and hemodynamic factors. Although DKD has been established as a heritable disorder and several genetic studies have been conducted, the identification of unique genetic variants for DKD is limited by its multiplex classification based on the phenotypes of diabetes mellitus (DM) and chronic kidney disease (CKD). Thus, we aimed to identify the genetic variants related to DKD that differentiate it from type 2 DM and CKD. METHODS We conducted a large-scale genome-wide association study mega-analysis, combining Korean multi-cohorts using multinomial logistic regression. A total of 33,879 patients were classified into four groups-normal, DM without CKD, CKD without DM, and DKD-and were further analyzed to identify novel single-nucleotide polymorphisms (SNPs) associated with DKD. Additionally, fine-mapping analysis was conducted to investigate whether the variants of interest contribute to a trait. Conditional analyses adjusting for the effect of type 1 DM (T1D)-associated HLA variants were also performed to remove confounding factors of genetic association with T1D. Moreover, analysis of expression quantitative trait loci (eQTL) was performed using the Genotype-Tissue Expression project. Differentially expressed genes (DEGs) were analyzed using the Gene Expression Omnibus database (GSE30529). The significant eQTL DEGs were used to explore the predicted interaction networks using search tools for the retrieval of interacting genes and proteins. RESULTS We identified three novel SNPs [rs3128852 (P = 8.21×10-25), rs117744700 (P = 8.28×10-10), and rs28366355 (P = 2.04×10-8)] associated with DKD. Moreover, the fine-mapping study validated the causal relationship between rs3128852 and DKD. rs3128852 is an eQTL for TRIM27 in whole blood tissues and HLA-A in adipose-subcutaneous tissues. rs28366355 is an eQTL for HLA-group genes present in most tissues. CONCLUSIONS We successfully identified SNPs (rs3128852, rs117744700, and rs28366355) associated with DKD and verified the causal association between rs3128852 and DKD. According to the in silico analysis, TRIM27 and HLA-A can define DKD pathophysiology and are associated with immune response and autophagy. However, further research is necessary to understand the mechanism of immunity and autophagy in the pathophysiology of DKD and to prevent and treat DKD.
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Affiliation(s)
- Heejin Jin
- Institute of Health and Environment, Seoul National University, Seoul, Korea
| | - Ye An Kim
- Division of Endocrinology, Department of Internal Medicine, Veterans Health Service Medical Center, Seoul, Korea
| | - Young Lee
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Jinhwangdo-ro 61-gil 53, Gangdong-gu, Seoul, Korea
| | - Seung-Hyun Kwon
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Jinhwangdo-ro 61-gil 53, Gangdong-gu, Seoul, Korea
| | - Ah Ra Do
- Interdisciplinary Program of Bioinformatics, College of National Sciences, Seoul National University, Seoul, South Korea
| | - Sujin Seo
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea
| | - Sungho Won
- Institute of Health and Environment, Seoul National University, Seoul, Korea.,Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea.,RexSoft Corps, Seoul, Korea
| | - Je Hyun Seo
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Jinhwangdo-ro 61-gil 53, Gangdong-gu, Seoul, Korea.
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Tziastoudi M, Theoharides TC, Nikolaou E, Efthymiadi M, Eleftheriadis T, Stefanidis I. Key Genetic Components of Fibrosis in Diabetic Nephropathy: An Updated Systematic Review and Meta-Analysis. Int J Mol Sci 2022; 23:15331. [PMID: 36499658 PMCID: PMC9736240 DOI: 10.3390/ijms232315331] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/27/2022] [Accepted: 11/29/2022] [Indexed: 12/09/2022] Open
Abstract
Renal fibrosis (RF) constitutes the common end-point of all kinds of chronic kidney disease (CKD), regardless of the initial cause of disease. The aim of the present study was to identify the key players of fibrosis in the context of diabetic nephropathy (DN). A systematic review and meta-analysis of all available genetic association studies regarding the genes that are included in signaling pathways related to RF were performed. The evaluated studies were published in English and they were included in PubMed and the GWAS Catalog. After an extensive literature review and search of the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, eight signaling pathways related to RF were selected and all available genetic association studies of these genes were meta-analyzed. ACE, AGT, EDN1, EPO, FLT4, GREM1, IL1B, IL6, IL10, IL12RB1, NOS3, TGFB1, IGF2/INS/TH cluster, and VEGFA were highlighted as the key genetic components driving the fibrosis process in DN. The present systematic review and meta-analysis indicate, as key players of fibrosis in DN, sixteen genes. However, the results should be interpreted with caution because the number of studies was relatively small.
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Affiliation(s)
- Maria Tziastoudi
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
| | - Theoharis C. Theoharides
- Laboratory of Molecular Immunopharmacology and Drug Discovery, Department of Immunology, Tufts University School of Medicine, Boston, MA 02155, USA
- School of Graduate Biomedical Sciences, Tufts University School of Medicine, Boston, MA 02155, USA
- Departments of Internal Medicine and Psychiatry, Tufts University School of Medicine and Tufts Medical Center, Boston, MA 02155, USA
- Institute of Neuro-Immune Medicine, Nova Southeastern University, Clearwater, FL 33314, USA
| | - Evdokia Nikolaou
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
| | - Maria Efthymiadi
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
| | - Theodoros Eleftheriadis
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
| | - Ioannis Stefanidis
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
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Jiang H, Wang C, Hou Z, Wang Y, Qiao J, Li H. Case report: NUT carcinoma with MXI1::NUTM1 fusion characterized by abdominopelvic lesions and ovarian masses in a middle-aged female. Front Oncol 2022; 12:1091877. [PMID: 36741693 PMCID: PMC9890191 DOI: 10.3389/fonc.2022.1091877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 12/08/2022] [Indexed: 01/13/2023] Open
Abstract
Background Nuclear protein of the testis (NUT) carcinoma is a rare subset of poorly differentiated, highly aggressive malignancy defined by NUTM1 gene rearrangements. Only three NUT cases of probable ovarian origin have been reported. Case presentation We report a case of NUT carcinoma in a 53-year-old female who presented with extensive abdominopelvic lesions and bilateral ovarian masses suggestive of advanced ovarian cancer. This patient was admitted to our hospital due to abdominal pain and distension for over two months. Imaging examinations suggested a possible malignancy of bilateral adnexal origin. This patient first underwent diagnostic laparoscopy. After receiving neoadjuvant chemotherapy, she underwent cytoreductive surgery. Surgical pathology showed infiltration of monotonous round tumor cells with no apparent differentiation characteristics. Immunohistochemistry (IHC) revealed nuclear expression of the NUT protein. And MXI1::NUTM1 fusion was identified by next-generation sequencing (NGS). Herein, we introduce an unusual NUT carcinoma and describe the clinical, imaging, and pathological features. In addition, we briefly reviewed the published literature and discussed the possibility of primary gynecological NUT carcinoma. Conclusions Identifying a NUT carcinoma arising from the abdominopelvic cavity is essential, and we underscore the need for NUT testing in undifferentiated malignant neoplasms that appear in this clinical setting. Although it is unclear from which origin this tumor arose, proper classification is essential for treatment planning.
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Affiliation(s)
- Huahua Jiang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Chao Wang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Zheng Hou
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Yuxiang Wang
- Department of Pathology, School of Basic Medical Sciences, Third Hospital, Peking University Health Science Center, Beijing, China
| | - Jie Qiao
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,Beijing Advanced Innovation Center for Genomics, Peking University, Beijing, China.,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Huajun Li
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.,National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
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Umapathy D, Subramanyam PV, Krishnamoorthy E, Viswanathan V, Ramkumar KM. Association of Fetuin-A with Thr256Ser exon polymorphism of α2-Heremans Schmid Glycoprotein (AHSG) gene in type 2 diabetic patients with overt nephropathy. J Diabetes Complications 2022; 36:108074. [PMID: 34774416 DOI: 10.1016/j.jdiacomp.2021.108074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 09/13/2021] [Accepted: 10/02/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Circulatory Fetuin-A has been well reported to elevate the risk for Diabetic Nephropathy (DN) and is associated with many vascular complications. Compelling reports have well documented that the circulatory levels of Fetuin-A directly have an impact on its AHSG (α2- Heremans- Schmid Glycoprotein) gene single nucleotide polymorphisms (SNP). Thus, in this study among the South Indian T2DM population, we aim to explore the association of AHSG Thr256Ser (rs4918) SNP in subjects with DN and correlate with the circulatory levels of Fetuin-A at various stages of DN patients. METHODS A total of 975 subjects were recruited, such as Group-I, consisting of Controls (n = 300), Group-II, with normoalbuminuria (n = 300), Group-IIIa, with incipient microalbuminuria (n = 195), Group-IIIb, with persistent macroalbuminuria (n = 180)] and were subjected for genotyping using PCR-Restriction Fragment Length Polymorphism (RFLP). Circulatory Fetuin-A was measured using sandwich enzyme-linked immunosorbent assay (ELISA). RESULTS The 'G' allele of AHSG exon-7 (C/G) SNP is significantly concomitant and conferred significant risk for normoalbuminuria subjects. In the DN subjects, the 'G' allele showed the risk for persistent macroalbuminuria. A noticeable stepwise decrease was evidenced in the circulatory Fetuin-A among persistent macroalbuminuria over incipient microalbuminuria from normoalbuminuria. Further, the circulatory Fetuin-A was lowered in DN subjects with mutant GG genotype than the wild CC. CONCLUSION AHSG Thr256Ser (rs4918) SNP was associated with renal complications among South Indian T2DM subjects.
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Affiliation(s)
| | - Paridhy Vanniya Subramanyam
- Department of Genetics, Dr. ALM PG Institute of Basic Medical Science, University of Madras, Tamilnadu, India
| | - Ezhilarasi Krishnamoorthy
- Department of Biochemistry and Molecular Genetics, Prof. M. Viswanathan Diabetes Research Centre and M.V. Hospital for Diabetes (A WHO Collaborating Centre for Research, Education & Training in Diabetes), International Diabetes Federation, Centre of Education and Centre of Excellence in Diabetes Care, Royapuram, Chennai, -600 013, Tamilnadu, India
| | - Vijay Viswanathan
- Department of Biochemistry and Molecular Genetics, Prof. M. Viswanathan Diabetes Research Centre and M.V. Hospital for Diabetes (A WHO Collaborating Centre for Research, Education & Training in Diabetes), International Diabetes Federation, Centre of Education and Centre of Excellence in Diabetes Care, Royapuram, Chennai, -600 013, Tamilnadu, India.
| | - Kunka Mohanram Ramkumar
- SRM Research Institute and Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu 603 203, India.
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Benny P, Ahn HJ, Burlingame J, Lee MJ, Miller C, Chen J, Urschitz J. Genetic risk factors associated with gestational diabetes in a multi-ethnic population. PLoS One 2021; 16:e0261137. [PMID: 34928995 PMCID: PMC8687569 DOI: 10.1371/journal.pone.0261137] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 11/24/2021] [Indexed: 11/19/2022] Open
Abstract
AIMS Genome-wide association studies have shown an increased risk of type-2-diabetes (T2DM) in patients who carry single nucleotide polymorphisms in several genes. We investigated whether the same gene loci confer a risk for gestational diabetes mellitus (GDM) in women from Hawaii, and in particular, Pacific Islander and Filipino populations. METHODS Blood was collected from 291 women with GDM and 734 matched non-diabetic controls (Pacific Islanders: 71 GDM, 197 non-diabetic controls; Filipinos: 162 GDM, 395 controls; Japanese: 58 GDM, 142 controls). Maternal DNA was used to genotype and show allele frequencies of 25 different SNPs mapped to 18 different loci. RESULTS After adjusting for age, BMI, parity and gravidity by multivariable logistic regression, several SNPs showed significant associations with GDM and were ethnicity specific. In particular, SNPs rs1113132 (EXT2), rs1111875 (HHEX), rs2237892 (KCNQ1), rs2237895 (KCNQ1), rs10830963 (MTNR1B) and rs13266634 (SLC30A8) showed significant associations with GDM in Filipinos. For Japanese, SNPs rs4402960 (IGFBP2) and rs2237892 (KCNQ1) were significantly associated with GDM. For Pacific Islanders, SNPs rs10830963 (MTNR1B) and rs13266634 (SLC30A8) showed significant associations with GDM. Individually, none of the SNPs showed a consistent association with GDM across all three investigated ethnicities. CONCLUSION Several SNPs associated with T2DM are found to confer increased risk for GDM in a multiethnic cohort in Hawaii.
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Affiliation(s)
- Paula Benny
- Department of Obstetrics, Gynecology, and Women’s Health, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States of America
| | - Hyeong Jun Ahn
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States of America
| | - Janet Burlingame
- Department of Obstetrics, Gynecology, and Women’s Health, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States of America
| | - Men-Jean Lee
- Department of Obstetrics, Gynecology, and Women’s Health, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States of America
| | - Corrie Miller
- Department of Obstetrics, Gynecology, and Women’s Health, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States of America
| | - John Chen
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States of America
| | - Johann Urschitz
- Department of Anatomy, Biochemistry and Physiology, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States of America
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Tziastoudi M, Dardiotis E, Pissas G, Filippidis G, Golfinopoulos S, Siokas V, Tachmitzi SV, Eleftheriadis T, Hadjigeorgiou GM, Tsironi E, Stefanidis I. Serpin Family E Member 1 Tag Single-Nucleotide Polymorphisms in Patients with Diabetic Nephropathy: An Association Study and Meta-Analysis Using a Genetic Model-Free Approach. Genes (Basel) 2021; 12:1887. [PMID: 34946835 PMCID: PMC8701119 DOI: 10.3390/genes12121887] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 11/18/2021] [Accepted: 11/23/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Many lines of evidence highlight the genetic contribution on the development of diabetic nephropathy (DN). One of the studied genes is SERPINE1 whose the role in the risk of developing DN remains questionable. In order to elucidate the contribution of SERPINE1 in DN progression in the context of type 2 diabetes mellitus (T2DM), we conducted an association study and meta-analysis of SERPINE1 genetic variants. MATERIALS AND METHODS A total of 190 patients with DN, 150 T2DM (type 2 diabetes mellitus) patients without DN and 238 healthy controls were recruited. We selected five tag single-nucleotide polymorphisms (SNPs) from the HapMap. The generalized odds ratio (ORG) was calculated to estimate the risk on DN development. Subgroup analyses based on ethnicity and type of diabetes were also performed. RESULTS Both the present association study regarding SERPINE1 SNPs (rs2227667, rs2070682, rs1050813, rs2227690, rs2227692) did not found any significant association between SERPINE1 variants and DN and the meta-analysis of variant 4G>5G (rs1799889) did not also reveal a significant association between 4G>5G variant and DN in main and subgroup analyses. DISCUSSION In conclusion, the present association study and meta-analysis provides strong evidence that SERPINE1 genetic variant 4G>5G is not implicated in the risk or development of DN in Caucasians. Further studies in other populations remain to further investigate the role of this variant in the course of DN.
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Affiliation(s)
- Maria Tziastoudi
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; (G.P.); (G.F.); (S.G.); (T.E.); (I.S.)
| | - Efthimios Dardiotis
- Laboratory of Neurogenetics, Department of Neurology, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece; (E.D.); (V.S.); (G.M.H.)
| | - Georgios Pissas
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; (G.P.); (G.F.); (S.G.); (T.E.); (I.S.)
| | - Georgios Filippidis
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; (G.P.); (G.F.); (S.G.); (T.E.); (I.S.)
| | - Spyridon Golfinopoulos
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; (G.P.); (G.F.); (S.G.); (T.E.); (I.S.)
| | - Vasileios Siokas
- Laboratory of Neurogenetics, Department of Neurology, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece; (E.D.); (V.S.); (G.M.H.)
| | - Sophia V. Tachmitzi
- Department of Ophthalmology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; (S.V.T.); (E.T.)
| | - Theodoros Eleftheriadis
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; (G.P.); (G.F.); (S.G.); (T.E.); (I.S.)
| | - Georgios M. Hadjigeorgiou
- Laboratory of Neurogenetics, Department of Neurology, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece; (E.D.); (V.S.); (G.M.H.)
- Department of Neurology, Medical School, University of Cyprus, Nicosia 22006, Cyprus
| | - Evangelia Tsironi
- Department of Ophthalmology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; (S.V.T.); (E.T.)
| | - Ioannis Stefanidis
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece; (G.P.); (G.F.); (S.G.); (T.E.); (I.S.)
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Merscher S, Faul C. DACH1 as a multifaceted and potentially druggable susceptibility factor for kidney disease. J Clin Invest 2021; 131:149043. [PMID: 33998596 PMCID: PMC8121511 DOI: 10.1172/jci149043] [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] [Indexed: 11/17/2022] Open
Abstract
Kidney diseases affect more than 15% of adults in the US, yet drug development in the kidney field, when compared with that for other common diseases, has been lagging behind. Modifiers that increase the susceptibility to injury and contribute to the pathogenesis and progression of kidney disease include genetic and environmental factors and epigenetic mechanisms. In this issue of the JCI, Cao et al. and Doke et al. independently report the identification of a susceptibility factor called Dachshund homolog 1 (DACH1). Both groups identify an association of reduced DACH1 expression with kidney disease, using different screening approaches, studying different types of human kidney diseases, and using different experimental models, making the fact that both stumbled over the same protein very compelling. Combined, these studies highlight DACH1 as a key safeguard in the kidney, granting various cell types proper function by modulating several molecular pathways.
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Affiliation(s)
- Sandra Merscher
- Katz Family Division of Nephrology and Hypertension, Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida, USA
- Peggy and Harold Katz Family Drug Discovery Center, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Christian Faul
- Division of Nephrology, Department of Medicine, The University of Alabama at Birmingham (UAB), Birmingham, Alabama, USA
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Xie Y, Wang Z, Chang L, Chen G. Association of MMP-9 polymorphisms with diabetic nephropathy risk: A protocol for systematic review and meta-analysis. Medicine (Baltimore) 2020; 99:e22278. [PMID: 32957381 PMCID: PMC7505353 DOI: 10.1097/md.0000000000022278] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Diabetic nephropathy (DN) is a multifactorial disease with gene-environment interaction resulting in progressive renal function damage. Multiple studies have assessed the association between matrix metalloproteinase-9 (MMP-9) gene promoter polymorphism and DN susceptibility. However, the results are inconclusive. In the present study, we will conduct a meta-analysis to further examine this relationship more precisely. METHODS Electronic databases (Pubmed, Web of Science, Embase, Google Scholar, Wanfang, China Biological Medicine and China National Knowledge Infrastructure) will be used to search clinical case-control studies about MMP-9 polymorphism and DN published until 18 August 2020. The language will be restricted to Chinese and English. Two reviewers will take charge of completing the selection of study, the extraction of data as well as the assessment of study quality independently. The Newcastle-Ottawa Scale will be used to evaluate the study quality. We will evaluate the association under 5 genetic models. Fixed-effects or random-effects models will be used to calculate the effect sizes of odds ratio and 95% confidence intervals. Afterwards, subgroup analysis will be conducted in terms of the ethnicity and genotyping method. Additionally, sensitivity analysis will be performed via sequentially omitting each of the included studies one at a time. The funnel plots, Egger regression test, and Begg rank correlation test will be used to test the potential publication bias. All the statistical analyses will be performed using Review Manager 5.3 and Stata 12.0. RESULTS This protocol reported according to the Preferred Reporting ltems for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) statement. This study will provide a better understanding of the association between MMP-9 polymorphisms and DN risk. CONCLUSION Publishing this protocol will minimize the potential bias related to data mining, thus contributing to generation of reliable evidence. OSF REGISTRATION NUMBER DOI 10.17605/OSF.IO/H5FS4.
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Affiliation(s)
- Yan Xie
- Health Management Centre, The First Affiliated Hospital of Army Medical University
| | | | | | - Guotao Chen
- Department of Nephrology, Bishan Hospital, Bishan District, Chongqing, Chongqing, China
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11
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Tziastoudi M, Stefanidis I, Zintzaras E. The genetic map of diabetic nephropathy: evidence from a systematic review and meta-analysis of genetic association studies. Clin Kidney J 2020; 13:768-781. [PMID: 33123356 PMCID: PMC7577775 DOI: 10.1093/ckj/sfaa077] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Indexed: 12/20/2022] Open
Abstract
Despite the extensive efforts of scientists, the genetic background of diabetic nephropathy (DN) has not yet been clarified. To elucidate the genetic variants that predispose to the development of DN, we conducted a systematic review and meta-analysis of all available genetic association studies (GAS) of DN. We searched in the Human Genome Epidemiology Navigator (HuGE Navigator) and PubMed for available GAS of DN. The threshold for meta-analysis was three studies per genetic variant. The association between genotype distribution and DN was examined using the generalized linear odds ratio (ORG). For variants with available allele frequencies, the examined model was the allele contrast. The pooled OR was estimated using the DerSimonian and Laird random effects model. The publication bias was assessed with Egger’s test. We performed pathway analysis of significant genes with DAVID 6.7. Genetic data of 606 variants located in 228 genes were retrieved from 360 GASs and were synthesized with meta-analytic methods. ACACB, angiotensin I-converting enzyme (ACE), ADIPOQ, AGT, AGTR1, AKR1B1, APOC1, APOE, ATP1B2, ATP2A3, CARS, CCR5, CGNL1, Carnosine dipeptidase 1 (CNDP1), CYGB-PRCD, EDN1, Engulfment and cell motility 1 (ELMO1), ENPP1, EPO, FLT4, FTO, GLO1, HMGA2, IGF2/INS/TH cluster, interleukin 1B (IL1B), IL8, IL10, KCNQ1, KNG, LOC101927627, Methylenetetrahydrofolate reductase, nitric oxide synthase 3 (NOS3), SET domain containing seven, histone lysine methyltransferase (SETD7), Sirtuin 1 (SIRT1), SLC2A1, SLC2A2, SLC12A3, SLC19A3, TCF7L2, TGFB1, TIMP1, TTC39C, UNC13B, VEGFA, WTAPP1, WWC1 as well as XYLT1 and three intergenic polymorphisms showed significant association with DN. Pathway analysis revealed the overrepresentation of six signalling pathways. The significant findings provide further evidence for genetic factors implication in DN offering new perspectives in discovery of new therapies.
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Affiliation(s)
- Maria Tziastoudi
- Department of Biomathematics, University of Thessaly, School of Medicine, Larissa, Greece
| | - Ioannis Stefanidis
- Department of Nephrology, University of Thessaly, School of Medicine, Larissa, Greece
| | - Elias Zintzaras
- Department of Biomathematics, University of Thessaly, School of Medicine, Larissa, Greece.,The Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Tufts University School of Medicine, Boston, MA, USA
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12
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Ninčević V, Omanović Kolarić T, Roguljić H, Kizivat T, Smolić M, Bilić Ćurčić I. Renal Benefits of SGLT 2 Inhibitors and GLP-1 Receptor Agonists: Evidence Supporting a Paradigm Shift in the Medical Management of Type 2 Diabetes. Int J Mol Sci 2019; 20:ijms20235831. [PMID: 31757028 PMCID: PMC6928920 DOI: 10.3390/ijms20235831] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 11/13/2019] [Accepted: 11/18/2019] [Indexed: 01/09/2023] Open
Abstract
Diabetic nephropathy (DN) is one of the most perilous side effects of diabetes mellitus type 1 and type 2 (T1DM and T2DM).). It is known that sodium/glucose cotransporter 2 inhibitors (SGLT 2i) and glucagone like peptide-1 receptor agonists (GLP-1 RAs) have renoprotective effects, but the molecular mechanisms are still unknown. In clinical trials GLP-1 analogs exerted important impact on renal composite outcomes, primarily on macroalbuminuria, possibly through suppression of inflammation-related pathways, however enhancement of natriuresis and diuresis is also one of possible mechanisms of nephroprotection. Dapagliflozin, canagliflozin, and empagliflozin are SGLT2i drugs, useful in reducing hyperglycemia and in their potential renoprotective mechanisms, which include blood pressure control, body weight loss, intraglomerular pressure reduction, and a decrease in urinary proximal tubular injury biomarkers. In this review we have discussed the potential synergistic and/or additive effects of GLP 1 RA and SGLT2 inhibitors on the primary onset and progression of kidney disease, and the potential implications on current guidelines of diabetes type 2 management.
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Affiliation(s)
- Vjera Ninčević
- Department of Pharmacology, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, J. Huttlera 4, 31000 Osijek, Croatia; (V.N.); (T.O.K.); (H.R.)
- Department of Pharmacology and Biochemistry, Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, Crkvena 21, 31000 Osijek, Croatia
| | - Tea Omanović Kolarić
- Department of Pharmacology, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, J. Huttlera 4, 31000 Osijek, Croatia; (V.N.); (T.O.K.); (H.R.)
- Department of Pharmacology and Biochemistry, Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, Crkvena 21, 31000 Osijek, Croatia
| | - Hrvoje Roguljić
- Department of Pharmacology, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, J. Huttlera 4, 31000 Osijek, Croatia; (V.N.); (T.O.K.); (H.R.)
- Department for Cardiovascular Disease, University Hospital Osijek, 4, 31000 Osijek, Croatia
| | - Tomislav Kizivat
- Clinical Institute of Nuclear Medicine and Radiation Protection, University Hospital Osijek, 31000 Osijek, Croatia;
- Department for Nuclear Medicine and Oncology, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek; J. Huttlera 4, 31000 Osijek, Croatia
| | - Martina Smolić
- Department of Pharmacology, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, J. Huttlera 4, 31000 Osijek, Croatia; (V.N.); (T.O.K.); (H.R.)
- Department of Pharmacology and Biochemistry, Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, Crkvena 21, 31000 Osijek, Croatia
| | - Ines Bilić Ćurčić
- Department of Pharmacology, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, J. Huttlera 4, 31000 Osijek, Croatia; (V.N.); (T.O.K.); (H.R.)
- Department of Diabetes, Endocrinology and Metabolism Disorders, University Hospital Osijek, 31000 Osijek, Croatia
- Correspondence:
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13
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Liu N, Wang Y. Association between angiotensinogen T174M polymorphism and the risk of diabetic nephropathy: A meta-analysis. J Renin Angiotensin Aldosterone Syst 2019; 20:1470320318823927. [PMID: 30798724 PMCID: PMC6350140 DOI: 10.1177/1470320318823927] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Objective: Although the angiotensinogen (AGT) gene T174M polymorphism
has been implicated in the pathogenesis of diabetic nephropathy (DN), study
results have been inconsistent. The present meta-analysis was conducted to
determine the correlation of AGT T174M polymorphism with
DN. Methods: We retrospectively extracted relevant studies from Embase as well as PubMed
databases. Additionally, a fixed- or random-effects model was employed for
calculation of pooled odds ratio (OR) along with 95% confidence interval
(CI). Results: In total, we identified six studies (1179 cases and 927 controls) regarding
the AGT gene T174M polymorphism. The pooled ORs for the
association between the AGT T174M polymorphism and DN risk
were not statistically significant under all genetic models (M vs T: OR =
1.22, 95% CI = 0.84–1.75; MM vs TT: OR = 1.94, 95% CI = 0.93–4.04; MT vs TT:
OR = 1.11, 95% CI = 0.76–1.63; the dominant model: OR =1.19, 95% CI =
0.80–1.77; the recessive model: OR = 1.94, 95% CI = 0.93–4.03). Subgroup
analyses based on the type of race showed the M allele of the
AGT T174M polymorphism increased DN risk in Asians, but
not in Caucasians. Conclusions: Our study indicated that the T174M polymorphism in the AGT
gene was associated with DN in Asians.
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Affiliation(s)
- Nina Liu
- 1 Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, China.,2 Department of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, China
| | - Youmin Wang
- 1 Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, China
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14
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Gu HF. Genetic and Epigenetic Studies in Diabetic Kidney Disease. Front Genet 2019; 10:507. [PMID: 31231424 PMCID: PMC6566106 DOI: 10.3389/fgene.2019.00507] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 05/08/2019] [Indexed: 01/19/2023] Open
Abstract
Chronic kidney disease is a worldwide health crisis, while diabetic kidney disease (DKD) has become the leading cause of end-stage renal disease (ESRD). DKD is a microvascular complication and occurs in 30–40% of diabetes patients. Epidemiological investigations and clinical observations on the familial clustering and heritability in DKD have highlighted an underlying genetic susceptibility. Furthermore, DKD is a progressive and long-term diabetic complication, in which epigenetic effects and environmental factors interact with an individual’s genetic background. In recent years, researchers have undertaken genetic and epigenetic studies of DKD in order to better understand its molecular mechanisms. In this review, clinical material, research approaches and experimental designs that have been used for genetic and epigenetic studies of DKD are described. Current information from genetic and epigenetic studies of DKD and ESRD in patients with diabetes, including the approaches of genome-wide association study (GWAS) or epigenome-wide association study (EWAS) and candidate gene association analyses, are summarized. Further investigation of molecular defects in DKD with new approaches such as next generation sequencing analysis and phenome-wide association study (PheWAS) is also discussed.
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Affiliation(s)
- Harvest F Gu
- Center for Pathophysiology, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
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15
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Cañadas-Garre M, Anderson K, Cappa R, Skelly R, Smyth LJ, McKnight AJ, Maxwell AP. Genetic Susceptibility to Chronic Kidney Disease - Some More Pieces for the Heritability Puzzle. Front Genet 2019; 10:453. [PMID: 31214239 PMCID: PMC6554557 DOI: 10.3389/fgene.2019.00453] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 04/30/2019] [Indexed: 12/12/2022] Open
Abstract
Chronic kidney disease (CKD) is a major global health problem with an increasing prevalence partly driven by aging population structure. Both genomic and environmental factors contribute to this complex heterogeneous disease. CKD heritability is estimated to be high (30-75%). Genome-wide association studies (GWAS) and GWAS meta-analyses have identified several genetic loci associated with CKD, including variants in UMOD, SHROOM3, solute carriers, and E3 ubiquitin ligases. However, these genetic markers do not account for all the susceptibility to CKD, and the causal pathways remain incompletely understood; other factors must be contributing to the missing heritability. Less investigated biological factors such as telomere length; mitochondrial proteins, encoded by nuclear genes or specific mitochondrial DNA (mtDNA) encoded genes; structural variants, such as copy number variants (CNVs), insertions, deletions, inversions and translocations are poorly covered and may explain some of the missing heritability. The sex chromosomes, often excluded from GWAS studies, may also help explain gender imbalances in CKD. In this review, we outline recent findings on molecular biomarkers for CKD (telomeres, CNVs, mtDNA variants, sex chromosomes) that typically have received less attention than gene polymorphisms. Shorter telomere length has been associated with renal dysfunction and CKD progression, however, most publications report small numbers of subjects with conflicting findings. CNVs have been linked to congenital anomalies of the kidney and urinary tract, posterior urethral valves, nephronophthisis and immunoglobulin A nephropathy. Information on mtDNA biomarkers for CKD comes primarily from case reports, therefore the data are scarce and diverse. The most consistent finding is the A3243G mutation in the MT-TL1 gene, mainly associated with focal segmental glomerulosclerosis. Only one GWAS has found associations between X-chromosome and renal function (rs12845465 and rs5987107). No loci in the Y-chromosome have reached genome-wide significance. In conclusion, despite the efforts to find the genetic basis of CKD, it remains challenging to explain all of the heritability with currently available methods and datasets. Although additional biomarkers have been investigated in less common suspects such as telomeres, CNVs, mtDNA and sex chromosomes, hidden heritability in CKD remains elusive, and more comprehensive approaches, particularly through the integration of multiple -"omics" data, are needed.
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Affiliation(s)
- Marisa Cañadas-Garre
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
| | - Kerry Anderson
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
| | - Ruaidhri Cappa
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
| | - Ryan Skelly
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
| | - Laura Jane Smyth
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
| | - Amy Jayne McKnight
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
| | - Alexander Peter Maxwell
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen’s University of Belfast, Belfast, United Kingdom
- Regional Nephrology Unit, Belfast City Hospital, Belfast, United Kingdom
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16
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Guan M, Keaton JM, Dimitrov L, Hicks PJ, Xu J, Palmer ND, Ma L, Das SK, Chen YDI, Coresh J, Fornage M, Franceschini N, Kramer H, Langefeld CD, Mychaleckyj JC, Parekh RS, Post WS, Rasmussen-Torvik LJ, Rich SS, Rotter JI, Sedor JR, Thornley-Brown D, Tin A, Wilson JG, Freedman BI, Bowden DW, Ng MCY. Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans. Hum Genomics 2019; 13:21. [PMID: 31092297 PMCID: PMC6521376 DOI: 10.1186/s40246-019-0205-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 04/11/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND End-stage kidney disease (ESKD) is a significant public health concern disproportionately affecting African Americans (AAs). Type 2 diabetes (T2D) is the leading cause of ESKD in the USA, and efforts to uncover genetic susceptibility to diabetic kidney disease (DKD) have had limited success. A prior genome-wide association study (GWAS) in AAs with T2D-ESKD was expanded with additional AA cases and controls and genotypes imputed to the higher density 1000 Genomes reference panel. The discovery analysis included 3432 T2D-ESKD cases and 6977 non-diabetic non-nephropathy controls (N = 10,409), followed by a discrimination analysis in 2756 T2D non-nephropathy controls to exclude T2D-associated variants. RESULTS Six independent variants located in or near RND3/RBM43, SLITRK3, ENPP7, GNG7, and APOL1 achieved genome-wide significant association (P < 5 × 10-8) with T2D-ESKD. Following extension analyses in 1910 non-diabetic ESKD cases and 908 non-diabetic non-nephropathy controls, a meta-analysis of 5342 AA all-cause ESKD cases and 6977 AA non-diabetic non-nephropathy controls revealed an additional novel all-cause ESKD locus at EFNB2 (rs77113398; P = 9.84 × 10-9; OR = 1.94). Exclusion of APOL1 renal-risk genotype carriers identified two additional genome-wide significant T2D-ESKD-associated loci at GRAMD3 and MGAT4C. A second variant at GNG7 (rs373971520; P = 2.17 × 10-8, OR = 1.46) remained associated with all-cause ESKD in the APOL1-negative analysis. CONCLUSIONS Findings provide further evidence for genetic factors associated with advanced kidney disease in AAs with T2D.
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Grants
- HHSN268201300026C NHLBI NIH HHS
- N01HC95160 NHLBI NIH HHS
- U01 DK057300 NIDDK NIH HHS
- N01HC95169 NHLBI NIH HHS
- R01 DK117445 NIDDK NIH HHS
- HHSN268201700001I NHLBI NIH HHS
- N01HC95159 NHLBI NIH HHS
- N01HC95167 NHLBI NIH HHS
- HHSC268200782096C, DK081350, DK066358, DK053591, DK087914, DK105556, HL56266, DK070941 NIH HHS
- UL1 TR001881 NCATS NIH HHS
- HHSN268201700003I NHLBI NIH HHS
- U01 DK070657 NIDDK NIH HHS
- HHSN268201500003C NHLBI NIH HHS
- U01 DK057304 NIDDK NIH HHS
- R01 DK070941 NIDDK NIH HHS
- UL1 TR002548 NCATS NIH HHS
- U01 DK057298 NIDDK NIH HHS
- UL1 RR025005 NCRR NIH HHS
- N01HC95163 NHLBI NIH HHS
- HHSN268201300025C, HHSN268201300026C, HHSN268201300027C, HHSN268201300028C, HHSN268201300029C, HHSN268200900041C, AG0005, N01-HC-65226 NIH HHS
- UL1 TR001079 NCATS NIH HHS
- U01 DK057295 NIDDK NIH HHS
- U01 DK105556 NIDDK NIH HHS
- R01 HL086694 NHLBI NIH HHS
- U01 DK057303 NIDDK NIH HHS
- P30 DK079626 NIDDK NIH HHS
- HHSN268201300048C NHLBI NIH HHS
- U01 HG004402 NHGRI NIH HHS
- N01HC95164 NHLBI NIH HHS
- HHSN268201300025C NHLBI NIH HHS
- N02HL64278 NHLBI NIH HHS
- N01HC95162 NHLBI NIH HHS
- N01HC95168 NHLBI NIH HHS
- R01 DK087914 NIDDK NIH HHS
- U01 DK057249 NIDDK NIH HHS
- P30 DK063491 NIDDK NIH HHS
- HHSN268201300027C NHLBI NIH HHS
- K99 DK081350 NIDDK NIH HHS
- HHSN268201300049C NHLBI NIH HHS
- R01 DK066358 NIDDK NIH HHS
- HHSN268200900041C NHLBI NIH HHS
- HHSN268201300028C NHLBI NIH HHS
- U01DK57292, U01DK57329, U01DK057300, U01DK057298, U01DK057249, U01DK57295, U01DK070657, U01DK057303, U01DK070657, U01DK57304, DK07024 NIH HHS
- HHSN268201700004I NHLBI NIH HHS
- N01HC95165 NHLBI NIH HHS
- N01HC95161 NHLBI NIH HHS
- HHSN268201300047C NHLBI NIH HHS
- UL1 TR001420 NCATS NIH HHS
- HHSN268201300050C NHLBI NIH HHS
- N01HC65226 NHLBI NIH HHS
- U01 DK057329 NIDDK NIH HHS
- M01 RR007122 NCRR NIH HHS
- R01 DK053591 NIDDK NIH HHS
- R01 MD012765 NIMHD NIH HHS
- UL1 TR000040 NCATS NIH HHS
- HHSN268201300046C NHLBI NIH HHS
- HHSN268201500003I, N01-HC-95159, N01-HC-95160, N01-HC-95161, N01-HC-95162, N01-HC-95163, N01-HC-95164, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168, N01-HC-95169, UL1-TR-000040, UL1-TR-001079, UL1-TR-001420, UL1-TR-001881, DK063491, N02-HL-64278, UL1TR001881, DK063491 NIH HHS
- HHSN268201300049C, HHSN268201300050C, HHSN268201300048C, HHSN268201300046C, HHSN268201300047C NIH HHS
- HHSN268201700002I NHLBI NIH HHS
- HHSN268201700005I NHLBI NIH HHS
- U01 DK057292 NIDDK NIH HHS
- N01HC95166 NHLBI NIH HHS
- HHSN268201700001I, HHSN268201700002I, HHSN268201700003I, HHSN268201700004I, HHSN268201700005I, R01HL087641, R01HL086694, U01HG004402, HHSN268200625226C, UL1RR025005 NIH HHS
- HHSN268201300029C NHLBI NIH HHS
- R01 HL087641 NHLBI NIH HHS
- National Institutes of Health
- Wake Forest School of Medicine
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Affiliation(s)
- Meijian Guan
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jacob M Keaton
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Latchezar Dimitrov
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Pamela J Hicks
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jianzhao Xu
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Nicholette D Palmer
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Lijun Ma
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Swapan K Das
- Department of Internal Medicine, Section on Endocrinology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Yii-Der I Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Holly Kramer
- Departments of Public Health Sciences and Medicine, Division of Nephrology and Hypertension, Loyola University Chicago, Maywood, IL, USA
- Department of Medicine, Hines Veteran's Affairs Medical Center, Hines, IL, USA
| | - Carl D Langefeld
- Center for Public Health Genomics, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Josyf C Mychaleckyj
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Rulan S Parekh
- Departments of Paediatrics and Medicine, Hospital for Sick Children, University Health Network and the University of Toronto, Toronto, ON, Canada
| | - Wendy S Post
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Laura J Rasmussen-Torvik
- Department of Preventive Medicine, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Division of Genomic Outcomes, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - John R Sedor
- Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA
- Glickman Urology and Kidney Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.
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17
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Jeong KH, Kim JS, Woo JT, Rhee SY, Lee YH, Kim YG, Moon JY, Kim SK, Kang SW, Lee SH, Kim YH. Genome-wide association study identifies new susceptibility loci for diabetic nephropathy in Korean patients with type 2 diabetes mellitus. Clin Genet 2019; 96:35-42. [PMID: 30883692 DOI: 10.1111/cge.13538] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 02/26/2019] [Accepted: 03/14/2019] [Indexed: 12/11/2022]
Abstract
Genetic factors are considered to be important in the pathogenesis of diabetic nephropathy (DN). Despite several genome-wide association studies (GWASs) demonstrating that specific polymorphisms of candidate genes were associated with DN, there were some limitations in previous studies. We conducted a GWAS using customized DNA chips to identify novel susceptibility loci for DN in Korean. We analyzed a total of 414 DN cases and 474 normoalbuminuric diabetic hyper-controls across two stages using customized DNA chips containing 98 667 single nucleotide polymorphisms (SNPs). We explored the associations between SNPs and DN in samples from 87 DN cases, mostly confirmed by renal biopsy, and 104 diabetic hyper-controls, and replicated these associations in independent cohort samples with 327 DN cases and 370 diabetic hyper-controls. The top significant SNPs from the discovery samples were selected for replication in the independent cohort. rs3765156 in PIK3C2B was significantly associated with DN in the replication cohort after multiple test. The SNPs identified in our study provide new insights into the pathogenesis of DN in the Korean population. Additional studies are needed to determine biological effects and clinical utility of our findings.
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Affiliation(s)
- Kyung H Jeong
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Jin S Kim
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Jeong-Taek Woo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Sang Y Rhee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Yu H Lee
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Yang G Kim
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Ju-Young Moon
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Su K Kim
- Department of Biomedical Laboratory Science, Catholic Kwandong University, Gangneung, Republic of Korea
| | - Sun W Kang
- Division of Nephrology, School of Medicine, Inje University, Busan, Republic of Korea
| | - Sang H Lee
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Yeong H Kim
- Division of Nephrology, School of Medicine, Inje University, Busan, Republic of Korea
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Boronat M, Tugores A, Saavedra P, Garay P, Bosch E, Lorenzo D, García-Cantón C. Association between polymorphism rs2032487 in the non-muscle myosin heavy chain IIA gene (MHY9) and chronic kidney disease secondary to type 2 diabetes mellitus in a population of the Canary Islands. ACTA ACUST UNITED AC 2019; 66:639-646. [PMID: 30954444 DOI: 10.1016/j.endinu.2019.01.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2018] [Revised: 12/03/2018] [Accepted: 01/17/2019] [Indexed: 01/22/2023]
Abstract
INTRODUCTION Certain polymorphisms in the non-muscle myosin IIA (MYH9) and apolipoprotein L1 (APOL1) genes have been associated to chronic kidney disease (CKD) in different populations. This study examined the association between the MHY9 rs2032487 and APOL1 rs73885319 polymorphisms and advanced CKD related to type 2 diabetes mellitus (T2DM) in a population of Gran Canaria (Canary Islands, Spain). PATIENTS AND METHODS Polymorphisms were genotyped in 152 patients with advanced CKD (estimated glomerular filtration rate [eGFR]<30mL/min/1.73 m2) secondary to T2DM, 110 patients with T2DM onset ≥ 20 years before without advanced CKD (eGFR ≥ 45mL/min/1.73 m2 and no proteinuria), and 292 healthy blood donors over 50 years of age without CKD or diabetes. RESULTS The frequency of the risk allele for rs2032487 was 10.7% in patients with diabetes and advanced CKD, 7.1% in those with diabetes but without advanced CKD, and 6.1% in healthy subjects, with significant differences between the first and third groups (P=.015). Among subjects with advanced CKD, 78.5% were homozygous for the protective allele, as compared to 87.9% in the other two groups (P=.015 and P=.016 respectively). The frequency of the risk allele for the rs73885319 polymorphism did not exceed 0.5% in any of the three groups. CONCLUSIONS These data suggest that polymorphism rs2032487 is associated to advanced CKD related to T2DM in the population of Gran Canaria.
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Affiliation(s)
- Mauro Boronat
- Sección de Endocrinología y Nutrición, Hospital Universitario Insular, Las Palmas de Gran Canaria, España; Instituto de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, España.
| | - Antonio Tugores
- Unidad de Investigación, Complejo Hospitalario Universitario Insular Materno-Infantil, Las Palmas de Gran Canaria, España
| | - Pedro Saavedra
- Departamento de Matemáticas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, España
| | - Paloma Garay
- Unidad de Investigación, Complejo Hospitalario Universitario Insular Materno-Infantil, Las Palmas de Gran Canaria, España
| | - Elvira Bosch
- Servicio de Nefrología, Hospital Universitario Insular, Las Palmas de Gran Canaria, España
| | - Dionisio Lorenzo
- Universidad Fernando Pessoa Canarias, Santa María de Guía, Las Palmas, España
| | - César García-Cantón
- Servicio de Nefrología, Hospital Universitario Insular, Las Palmas de Gran Canaria, España
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19
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Zangwill LM, Ayyagari R, Liebmann JM, Girkin CA, Feldman R, Dubiner H, Dirkes KA, Holmann M, Williams-Steppe E, Hammel N, Saunders LJ, Vega S, Sandow K, Roll K, Slight R, Auerbach D, Samuels BC, Panarelli JF, Mitchell JP, Al-Aswad LA, Park SC, Tello C, Cotliar J, Bansal R, Sidoti PA, Cioffi GA, Blumberg D, Ritch R, Bell NP, Blieden LS, Davis G, Medeiros FA, Ng MCY, Das SK, Palmer ND, Divers J, Langefeld CD, Freedman BI, Bowden DW, Christopher MA, Chen YDI, Guo X, Taylor KD, Rotter JI, Weinreb RN. The African Descent and Glaucoma Evaluation Study (ADAGES) III: Contribution of Genotype to Glaucoma Phenotype in African Americans: Study Design and Baseline Data. Ophthalmology 2019; 126:156-170. [PMID: 29361356 PMCID: PMC6050158 DOI: 10.1016/j.ophtha.2017.11.031] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 11/22/2017] [Accepted: 11/22/2017] [Indexed: 12/12/2022] Open
Abstract
PURPOSE To describe the study protocol and baseline characteristics of the African Descent and Glaucoma Evaluation Study (ADAGES) III. DESIGN Cross-sectional, case-control study. PARTICIPANTS Three thousand two hundred sixty-six glaucoma patients and control participants without glaucoma of African or European descent were recruited from 5 study centers in different regions of the United States. METHODS Individuals of African descent (AD) and European descent (ED) with primary open-angle glaucoma (POAG) and control participants completed a detailed demographic and medical history interview. Standardized height, weight, and blood pressure measurements were obtained. Saliva and blood samples to provide serum, plasma, DNA, and RNA were collected for standardized processing. Visual fields, stereoscopic disc photographs, and details of the ophthalmic examination were obtained and transferred to the University of California, San Diego, Data Coordinating Center for standardized processing and quality review. MAIN OUTCOME MEASURES Participant gender, age, race, body mass index, blood pressure, history of smoking and alcohol use in POAG patients and control participants were described. Ophthalmic measures included intraocular pressure, visual field mean deviation, central corneal thickness, glaucoma medication use, or past glaucoma surgery. Ocular conditions, including diabetic retinopathy, age-related macular degeneration, and past cataract surgery, were recorded. RESULTS The 3266 ADAGES III study participants in this report include 2146 AD POAG patients, 695 ED POAG patients, 198 AD control participants, and 227 ED control participants. The AD POAG patients and control participants were significantly younger (both, 67.4 years) than ED POAG patients and control participants (73.4 and 70.2 years, respectively). After adjusting for age, AD POAG patients had different phenotypic characteristics compared with ED POAG patients, including higher intraocular pressure, worse visual acuity and visual field mean deviation, and thinner corneas (all P < 0.001). Family history of glaucoma did not differ between AD and ED POAG patients. CONCLUSIONS With its large sample size, extensive specimen collection, and deep phenotyping of AD and ED glaucoma patients and control participants from different regions in the United States, the ADAGES III genomics study will address gaps in our knowledge of the genetics of POAG in this high-risk population.
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Affiliation(s)
- Linda M Zangwill
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Radha Ayyagari
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Jeffrey M Liebmann
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Christopher A Girkin
- Department of Ophthalmology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Robert Feldman
- Ruiz Department of Ophthalmology & Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas
| | | | - Keri A Dirkes
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Matthew Holmann
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Eunice Williams-Steppe
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Naama Hammel
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Luke J Saunders
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Suzanne Vega
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Kevin Sandow
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Kathryn Roll
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Rigby Slight
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Daniel Auerbach
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Brian C Samuels
- Department of Ophthalmology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Joseph F Panarelli
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York
| | - John P Mitchell
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Lama A Al-Aswad
- Ruiz Department of Ophthalmology & Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas
| | - Sung Chul Park
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York
| | - Celso Tello
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York
| | - Jeremy Cotliar
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Rajendra Bansal
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Paul A Sidoti
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York
| | - George A Cioffi
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Dana Blumberg
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Robert Ritch
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York
| | - Nicholas P Bell
- Ruiz Department of Ophthalmology & Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas
| | - Lauren S Blieden
- Ruiz Department of Ophthalmology & Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas
| | - Garvin Davis
- Ruiz Department of Ophthalmology & Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas
| | - Felipe A Medeiros
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Swapan K Das
- Department of Internal Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina; Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Nicholette D Palmer
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jasmin Divers
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina; Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Carl D Langefeld
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina; Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Barry I Freedman
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina; Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Mark A Christopher
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Yii-der I Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Robert N Weinreb
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California.
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20
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Osman WM, Jelinek HF, Tay GK, Khandoker AH, Khalaf K, Almahmeed W, Hassan MH, Alsafar HS. Clinical and genetic associations of renal function and diabetic kidney disease in the United Arab Emirates: a cross-sectional study. BMJ Open 2018; 8:e020759. [PMID: 30552240 PMCID: PMC6303615 DOI: 10.1136/bmjopen-2017-020759] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVES Within the Emirati population, risk factors and genetic predisposition to diabetic kidney disease (DKD) have not yet been investigated. The aim of this research was to determine potential clinical, laboratory and reported genetic loci as risk factors for DKD. RESEARCH DESIGN AND METHODS Four hundred and ninety unrelated Emirati nationals with type 2 diabetes mellitus (T2DM) were recruited with and without DKD, and clinical and laboratory data were obtained. Following adjustments for possible confounders, a logistic regression model was developed to test the associations of 63 single nucleotide polymorphisms (SNPs) in 43 genetic loci with DKD (145 patients with DKD and 265 without DKD). Linear regression models, adjusted for age and gender, were then used to study the genetic associations of five renal function traits, including 83 SNPs with albumin-to-creatinine ratio, 92 SNPs with vitamin D (25-OH cholecalciferol), 288 SNPs with estimated glomerular filtration rate (eGFR), 363 SNPs with serum creatinine and 73 SNPs with blood urea. RESULTS Patients with DKD, as compared with those without the disease, were mostly men (52%vs38% for controls), older (67vs59 years) and had significant rates of hypertension and dyslipidaemia. Furthermore, patients with DKD had T2DM for a longer duration of time (16vs10 years), which in an additive manner was the single factor that significantly contributed to the development of DKD (p=0.02, OR=3.12, 95% CI 1.21 to 8.02). Among the replicated associations of the genetic loci with different renal function traits, the most notable included SHROOM3 with levels of serum creatinine, eGFR and DKD (Padjusted=0.04, OR=1.46); CASR, GC and CYP2R1 with vitamin D levels; as well as WDR72 with serum creatinine and eGFR levels. CONCLUSIONS Associations were found between several genetic loci and risk markers for DKD, which may influence kidney function traits and DKD in a population of Arab ancestry.
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Affiliation(s)
- Wael M Osman
- Center of Biotechnology, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Herbert F Jelinek
- School of Community Health, Charles Sturt University, Albury, New South Wales, Australia
- Clinical Medicine, Macquarie University, Sydney, New South Wales, Australia
| | - Guan K Tay
- Center of Biotechnology, Khalifa University, Abu Dhabi, United Arab Emirates
- School of Health and Medical Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Western Australia, Australia
- Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Ahsan H Khandoker
- Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Kinda Khalaf
- Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Wael Almahmeed
- Institute of Cardiac Science, Sheikh Khalifa Medical City, Abu Dhabi, United Arab Emirates
- Heart and Vascular Institute, Cleveland Clinic, Abu Dhabi, United Arab Emirates
| | - Mohamed H Hassan
- Medical Institute, Sheikh Khalifa Medical City, Abu Dhabi, United Arab Emirates
| | - Habiba S Alsafar
- Center of Biotechnology, Khalifa University, Abu Dhabi, United Arab Emirates
- Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates
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Cañadas-Garre M, Anderson K, McGoldrick J, Maxwell AP, McKnight AJ. Genomic approaches in the search for molecular biomarkers in chronic kidney disease. J Transl Med 2018; 16:292. [PMID: 30359254 PMCID: PMC6203198 DOI: 10.1186/s12967-018-1664-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Accepted: 10/14/2018] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is recognised as a global public health problem, more prevalent in older persons and associated with multiple co-morbidities. Diabetes mellitus and hypertension are common aetiologies for CKD, but IgA glomerulonephritis, membranous glomerulonephritis, lupus nephritis and autosomal dominant polycystic kidney disease are also common causes of CKD. MAIN BODY Conventional biomarkers for CKD involving the use of estimated glomerular filtration rate (eGFR) derived from four variables (serum creatinine, age, gender and ethnicity) are recommended by clinical guidelines for the evaluation, classification, and stratification of CKD. However, these clinical biomarkers present some limitations, especially for early stages of CKD, elderly individuals, extreme body mass index values (serum creatinine), or are influenced by inflammation, steroid treatment and thyroid dysfunction (serum cystatin C). There is therefore a need to identify additional non-invasive biomarkers that are useful in clinical practice to help improve CKD diagnosis, inform prognosis and guide therapeutic management. CONCLUSION CKD is a multifactorial disease with associated genetic and environmental risk factors. Hence, many studies have employed genetic, epigenetic and transcriptomic approaches to identify biomarkers for kidney disease. In this review, we have summarised the most important studies in humans investigating genomic biomarkers for CKD in the last decade. Several genes, including UMOD, SHROOM3 and ELMO1 have been strongly associated with renal diseases, and some of their traits, such as eGFR and serum creatinine. The role of epigenetic and transcriptomic biomarkers in CKD and related diseases is still unclear. The combination of multiple biomarkers into classifiers, including genomic, and/or epigenomic, may give a more complete picture of kidney diseases.
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Affiliation(s)
- M. Cañadas-Garre
- Epidemiology and Public Health Research Group, Centre for Public Health, Belfast City Hospital, Queen’s University of Belfast, c/o University Floor, Level A, Tower Block, Lisburn Road, Belfast, BT9 7AB Northern Ireland UK
| | - K. Anderson
- Epidemiology and Public Health Research Group, Centre for Public Health, Belfast City Hospital, Queen’s University of Belfast, c/o University Floor, Level A, Tower Block, Lisburn Road, Belfast, BT9 7AB Northern Ireland UK
| | - J. McGoldrick
- Epidemiology and Public Health Research Group, Centre for Public Health, Belfast City Hospital, Queen’s University of Belfast, c/o University Floor, Level A, Tower Block, Lisburn Road, Belfast, BT9 7AB Northern Ireland UK
| | - A. P. Maxwell
- Epidemiology and Public Health Research Group, Centre for Public Health, Belfast City Hospital, Queen’s University of Belfast, c/o University Floor, Level A, Tower Block, Lisburn Road, Belfast, BT9 7AB Northern Ireland UK
- Regional Nephrology Unit, Belfast City Hospital, Belfast, UK
| | - A. J. McKnight
- Epidemiology and Public Health Research Group, Centre for Public Health, Belfast City Hospital, Queen’s University of Belfast, c/o University Floor, Level A, Tower Block, Lisburn Road, Belfast, BT9 7AB Northern Ireland UK
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22
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Gurley SB, Ghosh S, Johnson SA, Azushima K, Sakban RB, George SE, Maeda M, Meyer TW, Coffman TM. Inflammation and Immunity Pathways Regulate Genetic Susceptibility to Diabetic Nephropathy. Diabetes 2018; 67:2096-2106. [PMID: 30065034 PMCID: PMC6152345 DOI: 10.2337/db17-1323] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 07/20/2018] [Indexed: 01/06/2023]
Abstract
Diabetic nephropathy (DN) is a leading cause of end-stage renal disease worldwide, but its molecular pathogenesis is not well defined, and there are no specific treatments. In humans, there is a strong genetic component determining susceptibility to DN. However, specific genes controlling DN susceptibility in humans have not been identified. In this study, we describe a mouse model combining type 1 diabetes with activation of the renin-angiotensin system (RAS), which develops robust kidney disease with features resembling human DN: heavy albuminuria, hypertension, and glomerulosclerosis. Additionally, there is a powerful effect of genetic background regulating susceptibility to nephropathy; the 129 strain is susceptible to kidney disease, whereas the C57BL/6 strain is resistant. To examine the molecular basis of this differential susceptibility, we analyzed the glomerular transcriptome of young mice early in the course of their disease. We find dramatic differences in regulation of immune and inflammatory pathways, with upregulation of proinflammatory pathways in the susceptible (129) strain and coordinate downregulation in the resistant (C57BL/6) strain. Many of these pathways are also upregulated in rat models and in humans with DN. Our studies suggest that genes controlling inflammatory responses, triggered by hyperglycemia and RAS activation, may be critical early determinants of susceptibility to DN.
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Affiliation(s)
- Susan B Gurley
- Division of Nephrology, Department of Medicine, Duke University and Durham VA Medical Centers, Durham, NC
| | - Sujoy Ghosh
- Program in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore
| | - Stacy A Johnson
- Division of Nephrology, Department of Medicine, Duke University and Durham VA Medical Centers, Durham, NC
| | - Kengo Azushima
- Program in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore
| | - Rashidah Binte Sakban
- Program in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore
| | - Simi E George
- Program in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore
| | - Momoe Maeda
- Program in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore
| | - Timothy W Meyer
- Division of Nephrology, Department of Medicine, Stanford University, Palo Alto, CA
| | - Thomas M Coffman
- Division of Nephrology, Department of Medicine, Duke University and Durham VA Medical Centers, Durham, NC
- Program in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore
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23
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Wei L, Xiao Y, Li L, Xiong X, Han Y, Zhu X, Sun L. The Susceptibility Genes in Diabetic Nephropathy. KIDNEY DISEASES 2018; 4:226-237. [PMID: 30574499 DOI: 10.1159/000492633] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 08/03/2018] [Indexed: 12/22/2022]
Abstract
Background Diabetes mellitus (DM) poses a severe threat to global public health. Diabetic nephropathy (DN) is one of the most common complications of diabetes and the leading cause of end-stage renal disease (ESRD). Approximately 30-40% of DM patients in the world progress to ESRD, which emphasizes the effect of genetic factors on DN. Family clustering also supports the important role of hereditary factors in DN and ESRD. Therefore, a large number of genetic studies have been carried out to identify susceptibility genes in different diabetic cohorts. Extensive susceptibility genes of DN and ESRD have not been identified until recently. Summary and Key Messages Some of these associated genes function as pivotal regulators in the pathogenesis of DN, such as those related to glycometabolism and lipid metabolism. However, the functions of most of these genes remain unclear. In this article, we review several susceptibility genes according to their genetic functions to make it easier to determine their exact effect on DN and to provide a better understanding of the advancements from genetic studies. However, several challenges associated with investigating the genetic factors of DN still exist. For instance, it is difficult to determine whether these variants affect the expression of the protein they encode or other cytokines. More efforts should be made to determine how these genes influence the progression of DN. In addition, many results could not be replicated among races, suggesting that the association between genetic polymorphisms and DN is race-specific. Therefore, large, well-designed studies involving more relevant variables and ethnic groups and more relevant functional studies are urgently needed. These studies may be beneficial and retard the progression of DN by early intervention, especially for patients who carry certain risk alleles or genotypes.
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Affiliation(s)
- Ling Wei
- Department of Nephrology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Ying Xiao
- Department of Nephrology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Li Li
- Department of Nephrology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiaofen Xiong
- Department of Nephrology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Yachun Han
- Department of Nephrology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Xuejing Zhu
- Department of Nephrology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Lin Sun
- Department of Nephrology, Second Xiangya Hospital, Central South University, Changsha, China
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Keaton JM, Gao C, Guan M, Hellwege JN, Palmer ND, Pankow JS, Fornage M, Wilson JG, Correa A, Rasmussen-Torvik LJ, Rotter JI, Chen YDI, Taylor KD, Rich SS, Wagenknecht LE, Freedman BI, Ng MCY, Bowden DW. Genome-wide interaction with the insulin secretion locus MTNR1B reveals CMIP as a novel type 2 diabetes susceptibility gene in African Americans. Genet Epidemiol 2018; 42:559-570. [PMID: 29691896 PMCID: PMC6160319 DOI: 10.1002/gepi.22126] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 02/27/2018] [Accepted: 03/16/2018] [Indexed: 11/09/2022]
Abstract
Although type 2 diabetes (T2D) results from metabolic defects in insulin secretion and insulin sensitivity, most of the genetic risk loci identified to date relates to insulin secretion. We reported that T2D loci influencing insulin sensitivity may be identified through interactions with insulin secretion loci, thereby leading to T2D. Here, we hypothesize that joint testing of variant main effects and interaction effects with an insulin secretion locus increases power to identify genetic interactions leading to T2D. We tested this hypothesis with an intronic MTNR1B SNP, rs10830963, which is associated with acute insulin response to glucose, a dynamic measure of insulin secretion. rs10830963 was tested for interaction and joint (main + interaction) effects with genome-wide data in African Americans (2,452 cases and 3,772 controls) from five cohorts. Genome-wide genotype data (Affymetrix Human Genome 6.0 array) was imputed to a 1000 Genomes Project reference panel. T2D risk was modeled using logistic regression with rs10830963 dosage, age, sex, and principal component as predictors. Joint effects were captured using the Kraft two degrees of freedom test. Genome-wide significant (P < 5 × 10-8 ) interaction with MTNR1B and joint effects were detected for CMIP intronic SNP rs17197883 (Pinteraction = 1.43 × 10-8 ; Pjoint = 4.70 × 10-8 ). CMIP variants have been nominally associated with T2D, fasting glucose, and adiponectin in individuals of East Asian ancestry, with high-density lipoprotein, and with waist-to-hip ratio adjusted for body mass index in Europeans. These data support the hypothesis that additional genetic factors contributing to T2D risk, including insulin sensitivity loci, can be identified through interactions with insulin secretion loci.
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Affiliation(s)
- Jacob M. Keaton
- Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
| | - Chuan Gao
- Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
| | - Meijian Guan
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jacklyn N. Hellwege
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
| | - Nicholette D. Palmer
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC
| | - James S. Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Myriam Fornage
- Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX
| | | | - Adolfo Correa
- University of Mississippi Medical Center, Jackson, MS
| | | | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Yii-Der I. Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Lynne E. Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Barry I. Freedman
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Internal Medicine - Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Maggie C. Y. Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
| | - Donald W. Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
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25
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Guan M, Keaton JM, Dimitrov L, Hicks PJ, Xu J, Palmer ND, Wilson JG, Freedman BI, Bowden DW, Ng MC. An Exome-wide Association Study for Type 2 Diabetes-Attributed End-Stage Kidney Disease in African Americans. Kidney Int Rep 2018; 3:867-878. [PMID: 29989002 PMCID: PMC6035163 DOI: 10.1016/j.ekir.2018.03.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Revised: 02/20/2018] [Accepted: 03/05/2018] [Indexed: 12/12/2022] Open
Abstract
Introduction Compared with European Americans, African Americans (AAs) are at higher risk for developing end-stage kidney disease (ESKD). Genome-wide association studies (GWAS) have identified >70 genetic variants associated with kidney function and chronic kidney disease (CKD) in patients with and without diabetes. However, these variants explain a small proportion of disease liability. This study examined the contribution of coding genetic variants for risk of type 2 diabetes (T2D)-attributed ESKD and advanced CKD in AAs. Methods Exome sequencing was performed in 456 AA T2D-ESKD cases, and 936 AA nondiabetic, non-nephropathy control individuals at the discovery stage. A mixed logistic regression model was used for association analysis. Nominal associations (P < 0.05) were replicated in an additional 2020 T2D-ESKD cases and 1121 nondiabetic, non-nephropathy control individuals. A meta-analysis combining 4533 discovery and replication samples was performed. Putative T2D-ESKD associations were tested in additional 1910 nondiabetic ESKD and 219 T2D-ESKD cases, as well as 912 AA nondiabetic non-nephropathy control individuals. Results A total of 11 suggestive T2D-ESKD associations (P < 1 x 10−4) from 8 loci (PLEKHN1, NADK, RAD51AP2, RREB1, PEX6, GRM8, PRX, APOL1) were apparent in the meta-analysis. Exclusion of APOL1 renal-risk genotype carriers identified 3 additional suggestive loci (OTUD7B, IFITM3, DLGAP5). Rs41302867 in RREB1 displayed consistent association with T2D-ESKD and nondiabetic ESKD (odds ratio: 0.47; P = 1.2 x 10−6 in 4605 all-cause ESKD and 2969 nondiabetic non-nephropathy control individuals). Conclusion Our findings suggest that coding genetic variants are implicated in predisposition to T2D-ESKD in AAs.
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Affiliation(s)
- Meijian Guan
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jacob M. Keaton
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Latchezar Dimitrov
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Pamela J. Hicks
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jianzhao Xu
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Nicholette D. Palmer
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Barry I. Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Donald W. Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Maggie C.Y. Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Correspondence: Maggie C. Y. Ng, Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
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26
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Endlich N, Kliewe F, Kindt F, Schmidt K, Kotb AM, Artelt N, Lindenmeyer MT, Cohen CD, Döring F, Kuss AW, Amann K, Moeller MJ, Kabgani N, Blumenthal A, Endlich K. The transcription factor Dach1 is essential for podocyte function. J Cell Mol Med 2018; 22:2656-2669. [PMID: 29498212 PMCID: PMC5908116 DOI: 10.1111/jcmm.13544] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Accepted: 12/24/2017] [Indexed: 12/27/2022] Open
Abstract
Dedifferentiation and loss of podocytes are the major cause of chronic kidney disease. Dach1, a transcription factor that is essential for cell fate, was found in genome‐wide association studies to be associated with the glomerular filtration rate. We found that podocytes express high levels of Dach1 in vivo and to a much lower extent in vitro. Parietal epithelial cells (PECs) that are still under debate to be a type of progenitor cell for podocytes expressed Dach1 only at low levels. The transfection of PECs with a plasmid encoding for Dach1 induced the expression of synaptopodin, a podocyte‐specific protein, demonstrated by immunocytochemistry and Western blot. Furthermore, synaptopodin was located along actin fibres in a punctate pattern in Dach1‐expressing PECs comparable with differentiated podocytes. Moreover, dedifferentiating podocytes of isolated glomeruli showed a significant reduction in the expression of Dach1 together with synaptopodin after 9 days in cell culture. To study the role of Dach1 in vivo, we used the zebrafish larva as an animal model. Knockdown of the zebrafish ortholog Dachd by morpholino injection into fertilized eggs resulted in a severe renal phenotype. The glomeruli of the zebrafish larvae showed morphological changes of the glomerulus accompanied by down‐regulation of nephrin and leakage of the filtration barrier. Interestingly, glomeruli of biopsies from patients suffering from diabetic nephropathy showed also a significant reduction of Dach1 and synaptopodin in contrast to control biopsies. Taken together, Dach1 is a transcription factor that is important for podocyte differentiation and proper kidney function.
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Affiliation(s)
- Nicole Endlich
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Felix Kliewe
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Frances Kindt
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Katharina Schmidt
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Ahmed M Kotb
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany.,Department of Anatomy and Histology, Faculty of Veterinary Medicine, Assiut University, Assiut, Egypt
| | - Nadine Artelt
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Maja T Lindenmeyer
- Nephrological Center, Medical Clinic and Policlinic IV, University of Munich, Munich, Germany
| | - Clemens D Cohen
- Nephrological Center, Medical Clinic and Policlinic IV, University of Munich, Munich, Germany
| | - Franziska Döring
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Andreas W Kuss
- Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Kerstin Amann
- Department of Nephropathology, Institute of Pathology, University Hospital Erlangen, Erlangen, Germany
| | - Marcus J Moeller
- Department of Internal Medicine II, Nephrology and Clinical Immunology, RWTH Aachen University Hospital, Aachen, Germany
| | - Nazanin Kabgani
- Department of Internal Medicine II, Nephrology and Clinical Immunology, RWTH Aachen University Hospital, Aachen, Germany
| | - Antje Blumenthal
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Karlhans Endlich
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
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Limou S, Vince N, Parsa A. Lessons from CKD-Related Genetic Association Studies-Moving Forward. Clin J Am Soc Nephrol 2018; 13:140-152. [PMID: 29242368 PMCID: PMC5753320 DOI: 10.2215/cjn.09030817] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Over the past decade, genetic association studies have uncovered numerous determinants of kidney function in the general, diabetic, hypertensive, CKD, ESRD, and GN-based study populations (e.g., IgA nephropathy, membranous nephropathy, FSGS). These studies have led to numerous novel and unanticipated findings, which are helping improve our understanding of factors and pathways affecting both normal and pathologic kidney function. In this review, we report on major discoveries and advances resulting from this rapidly progressing research domain. We also predict some of the next steps the nephrology community should embrace to accelerate the identification of genetic and molecular processes leading to kidney dysfunction, pathophysiologically based disease subgroups, and specific therapeutic targets, as we attempt to transition toward a more precision-based medicine approach.
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Affiliation(s)
- Sophie Limou
- Centre de Recherche en Transplantation et Immunologie Unité Mixte de Recherche 1064, Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Nantes, Nantes, France
- Institut de Transplantation Urologie et Néphrologie, Centre Hospitalier Universitaire Nantes, Nantes, France
- Ecole Centrale de Nantes, Nantes, France
- Basic Science Program, Basic Research Laboratory, National Cancer Institute/National Institutes of Health, Leidos Biomedical Research Inc., Frederick National Laboratory, Frederick, Maryland
| | - Nicolas Vince
- Centre de Recherche en Transplantation et Immunologie Unité Mixte de Recherche 1064, Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Nantes, Nantes, France
- Institut de Transplantation Urologie et Néphrologie, Centre Hospitalier Universitaire Nantes, Nantes, France
| | - Afshin Parsa
- Division of Nephrology, University of Maryland School of Medicine, Baltimore, Maryland; and
- Department of Medicine, Baltimore VA Medical Center, Baltimore, Maryland
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28
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Barrett EJ, Liu Z, Khamaisi M, King GL, Klein R, Klein BEK, Hughes TM, Craft S, Freedman BI, Bowden DW, Vinik AI, Casellini CM. Diabetic Microvascular Disease: An Endocrine Society Scientific Statement. J Clin Endocrinol Metab 2017; 102:4343-4410. [PMID: 29126250 PMCID: PMC5718697 DOI: 10.1210/jc.2017-01922] [Citation(s) in RCA: 296] [Impact Index Per Article: 42.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 08/29/2017] [Indexed: 01/18/2023]
Abstract
Both type 1 and type 2 diabetes adversely affect the microvasculature in multiple organs. Our understanding of the genesis of this injury and of potential interventions to prevent, limit, or reverse injury/dysfunction is continuously evolving. This statement reviews biochemical/cellular pathways involved in facilitating and abrogating microvascular injury. The statement summarizes the types of injury/dysfunction that occur in the three classical diabetes microvascular target tissues, the eye, the kidney, and the peripheral nervous system; the statement also reviews information on the effects of diabetes and insulin resistance on the microvasculature of skin, brain, adipose tissue, and cardiac and skeletal muscle. Despite extensive and intensive research, it is disappointing that microvascular complications of diabetes continue to compromise the quantity and quality of life for patients with diabetes. Hopefully, by understanding and building on current research findings, we will discover new approaches for prevention and treatment that will be effective for future generations.
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Affiliation(s)
- Eugene J. Barrett
- Division of Endocrinology, Department of Medicine, University of Virginia, Charlottesville, Virginia 22908
| | - Zhenqi Liu
- Division of Endocrinology, Department of Medicine, University of Virginia, Charlottesville, Virginia 22908
| | - Mogher Khamaisi
- Section of Vascular Cell Biology, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts 02215
| | - George L. King
- Section of Vascular Cell Biology, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts 02215
| | - Ronald Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53705
| | - Barbara E. K. Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53705
| | - Timothy M. Hughes
- Sticht Center for Healthy Aging and Alzheimer’s Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157
| | - Suzanne Craft
- Sticht Center for Healthy Aging and Alzheimer’s Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157
| | - Barry I. Freedman
- Divisions of Nephrology and Endocrinology, Department of Internal Medicine, Centers for Diabetes Research, and Center for Human Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157
| | - Donald W. Bowden
- Divisions of Nephrology and Endocrinology, Department of Internal Medicine, Centers for Diabetes Research, and Center for Human Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157
| | - Aaron I. Vinik
- EVMS Strelitz Diabetes Center, Eastern Virginia Medical Center, Norfolk, Virginia 23510
| | - Carolina M. Casellini
- EVMS Strelitz Diabetes Center, Eastern Virginia Medical Center, Norfolk, Virginia 23510
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29
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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.
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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
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30
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Pattaro C. Genome-wide association studies of albuminuria: towards genetic stratification in diabetes? J Nephrol 2017; 31:475-487. [PMID: 28918587 DOI: 10.1007/s40620-017-0437-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2017] [Accepted: 09/02/2017] [Indexed: 12/16/2022]
Abstract
Genome-wide association studies (GWAS) have been very successful in unraveling the polygenic structure of several complex diseases and traits. In the case of albuminuria, despite the large sample size achieved by some studies, results look sparse with a limited number of loci reported so far. This review searched for GWAS studies of albumin excretion, albuminuria, and proteinuria. The resulting picture sets elements of uniqueness for albuminuria GWAS with respect to other complex traits. So far, very few loci associated with albuminuria have been validated by means of genome-wide significant evidence or formal replication. With rare exceptions, the validated loci are ethnicity specific. Within a given ethnicity, variants are common and have relatively large effects, especially in the presence of diabetes. In most cases, the identified variants were functional and a biological involvement of the target genes in renal damage was established. Recently reported variants associated with albuminuria in diabetes may be potentially combined into a genetic risk score, making it possible to rank diabetic patients by increasing risk of albuminuria. Validation of this model is required. To expand the understanding of the biological basis of albumin excretion regulation, future initiatives should achieve larger sample sizes and favor a transethnic study design.
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Affiliation(s)
- Cristian Pattaro
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Via Galvani 31, 39100, Bolzano, Italy.
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31
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Abstract
PURPOSE OF REVIEW Diabetic complications affecting the kidneys, retina, nerves, and the cardiovasculature are the major causes of morbidity and mortality in diabetes. This paper aims to review the current understanding of the genetic basis of these complications, based on recent findings especially from genome-wide association studies. RECENT FINDINGS Variants in or near AFF3, RGMA-MCTP2, SP3-CDCA7, GLRA3, CNKSR3, and UMOD have reached genome-wide significance (p value <5 × 10-8) for association with diabetic kidney disease, and recently, GRB2 was reported to be associated at genome-wide significance with diabetic retinopathy. While some loci affecting cardiovascular disease in the general population have been replicated in diabetes, GLUL affects the risk of cardiovascular disease specifically in diabetic subjects. Genetic findings are emerging for diabetic complications, although the studies remain relatively small compared to those for type 1 and type 2 diabetes. In addition to pinpointing specific loci, the studies also reveal biological information on correlated traits and pathways.
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Affiliation(s)
- Emma Dahlström
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Haartmaninkatu 8, 00290, Helsinki, Finland
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Niina Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Haartmaninkatu 8, 00290, Helsinki, Finland.
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
- Research Program Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland.
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32
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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.
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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
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Satirapoj B. Sodium-Glucose Cotransporter 2 Inhibitors with Renoprotective Effects. KIDNEY DISEASES (BASEL, SWITZERLAND) 2017; 3:24-32. [PMID: 28785561 PMCID: PMC5527177 DOI: 10.1159/000471765] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 03/17/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND Diabetes is the leading cause of end-stage renal disease (ESRD) and accounts for 40-50% of patients requiring renal replacement therapy. The main pathophysiology of diabetic nephropathy comprises glucose-dependent pathways, hemodynamic pathways, and genetic factors. SUMMARY Glucose-dependent pathways, known as advanced glycation, polyols, and protein kinase C activation have been implicated in the pathogenesis of diabetic nephropathy. Current studies have indicated that intensified glycemic control retards the rate of development of albuminuria and impairs renal function in both patients with type 1 and 2 diabetes. However, therapeutic options have substantially increased over the last decade, but have not yet been translated to remarkably reduce the incidence of ESRD from diabetic nephropathy. Sodium-glucose cotransporter 2 (SGLT2) inhibitors are a novel class of glucose-lowering agents with potential renoprotective effects. KEY MESSAGE SGLT2 inhibitors represent a promising therapeutic approach to prevent and improve nephropathy among patients with type 2 diabetes. The current data strongly support that SGLT2 inhibitors have renoprotective properties not only by improving glycemic control but also through hemodynamic and nonhemodynamic renal effects. This review focuses on the latest published data dealing with hypoglycemic agents and SGLT2 inhibitors regarding the progression of kidney disease.
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Affiliation(s)
- Bancha Satirapoj
- Division of Nephrology, Phramongkutklao Hospital and College of Medicine, Bangkok, Thailand
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Vikulova OK, Zheleznyakova AV, Lebedeva NO, Nikitin AG, Nosikov VV, Shestakova MV. Genetic factors in the development of chronic kidney disease in patients with diabetes mellitus. RUSS J GENET+ 2017. [DOI: 10.1134/s1022795417030140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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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 2017; 28:923-934. [PMID: 27729571 PMCID: PMC5328149 DOI: 10.1681/asn.2015101152] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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.
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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
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Han S, Jung H, Lee K, Kim H, Kim S. Genome wide discovery of genetic variants affecting alternative splicing patterns in human using bioinformatics method. Genes Genomics 2017. [DOI: 10.1007/s13258-016-0466-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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37
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Keaton JM, Hellwege JN, Ng MCY, Palmer ND, Pankow JS, Fornage M, Wilson JG, Correa A, Rasmussen-Torvik LJ, Rotter JI, Chen YDERI, Taylor KD, Rich SS, Wagenknecht LE, Freedman BI, Bowden DW. GENOME-WIDE INTERACTION WITH SELECTED TYPE 2 DIABETES LOCI REVEALS NOVEL LOCI FOR TYPE 2 DIABETES IN AFRICAN AMERICANS. PACIFIC SYMPOSIUM ON BIOCOMPUTING. PACIFIC SYMPOSIUM ON BIOCOMPUTING 2017; 22:242-253. [PMID: 27896979 PMCID: PMC5146756 DOI: 10.1142/9789813207813_0024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Type 2 diabetes (T2D) is the result of metabolic defects in insulin secretion and insulin sensitivity, yet most T2D loci identified to date influence insulin secretion. We hypothesized that T2D loci, particularly those affecting insulin sensitivity, can be identified through interaction with known T2D loci implicated in insulin secretion. To test this hypothesis, single nucleotide polymorphisms (SNPs) nominally associated with acute insulin response to glucose (AIRg), a dynamic measure of first-phase insulin secretion, and previously associated with T2D in genome-wide association studies (GWAS) were identified in African Americans from the Insulin Resistance Atherosclerosis Family Study (IRASFS; n=492 subjects). These SNPs were tested for interaction, individually and jointly as a genetic risk score (GRS), using GWAS data from five cohorts (ARIC, CARDIA, JHS, MESA, WFSM; n=2,725 cases, 4,167 controls) with T2D as the outcome. In single variant analyses, suggestively significant (Pinteraction < 5×10-6) interactions were observed at several loci including DGKB (rs978989), CDK18 (rs12126276), CXCL12 (rs7921850), HCN1 (rs6895191), FAM98A (rs1900780), and MGMT (rs568530). Notable beta-cell GRS interactions included two SNPs at the DGKB locus (rs6976381; rs6962498). These data support the hypothesis that additional genetic factors contributing to T2D risk can be identified by interactions with insulin secretion loci.
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Affiliation(s)
- Jacob M Keaton
- Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA2Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA3Center for Diabetes Research, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
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Jin L, Wang T, Jiang S, Chen M, Zhang R, Hu C, Jia W, Liu Z. The Association of a Genetic Variant in SCAF8-CNKSR3 with Diabetic Kidney Disease and Diabetic Retinopathy in a Chinese Population. J Diabetes Res 2017; 2017:6542689. [PMID: 28401168 PMCID: PMC5376416 DOI: 10.1155/2017/6542689] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Accepted: 02/23/2017] [Indexed: 12/19/2022] Open
Abstract
Background. Genome-wide association studies found rs955333 located in 6q25.2 was associated with diabetic kidney disease in multiple ethnic populations, including European Americans, African Americans, and Mexican Americans. We aimed to investigate the association between the variant rs955333 in SCAF8-CNKSR3 and DKD susceptibility in Chinese type 2 diabetes patients. Methods. The variant rs955333 was genotyped in 1884 Chinese type 2 diabetes patients. Associations of the variant rs955333 with DKD and DR susceptibility and related quantitative traits were evaluated. Results. The variant rs955333 was not associated with DKD in our samples, while subjects with genotype GG were associated with DR (P = 0.047, OR = 0.5525 [0.308,0.9911]), and it also showed association with microalbuminuria (P = 0.024, beta = -0.1812 [-0.339, -0.024]). Conclusion. Our data suggests the variant rs955333 was not associated with DKD but showed association with diabetic retinopathy in Chinese type 2 diabetes patients.
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Affiliation(s)
- Li Jin
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210016, China
| | - Tao Wang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Song Jiang
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210016, China
| | - Miao Chen
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Rong Zhang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Cheng Hu
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Weiping Jia
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
- *Weiping Jia: and
| | - Zhihong Liu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210016, China
- *Zhihong Liu:
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39
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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.
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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
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40
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Bodhini D, Chidambaram M, Liju S, Revathi B, Laasya D, Sathish N, Kanthimathi S, Ghosh S, Anjana RM, Mohan V, Radha V. Association of rs11643718 SLC12A3 and rs741301 ELMO1 Variants with Diabetic Nephropathy in South Indian Population. Ann Hum Genet 2016; 80:336-341. [PMID: 27699784 DOI: 10.1111/ahg.12174] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 08/18/2016] [Accepted: 09/07/2016] [Indexed: 11/30/2022]
Abstract
This study reports on the association of genetic variants selected from previous genome-wide association studies for type 2 diabetic nephropathy in south Indians. Eight variants were genotyped in 601 type 2 diabetic subjects without nephropathy (DM) and 583 type 2 diabetic subjects with nephropathy (DN) by MassARRAY. The minor allele frequencies of rs11643718 SLC12A3 variant and rs741301 ELMO1 variant were significantly different between DM and DN groups (P = 0.029 and 0.016, respectively). A combined analysis showed that the subjects carrying the risk genotypes of both these variants (GG of rs11643718 + AG/AA of rs741301) had a significant association with DN with an odds ratio [adjusted for age, sex, Body Mass Index (BMI), HbA1c, and systolic Blood Pressure (BP)] of 1.73 (1.30-2.30, P = 1.72 × 10-4 ) as compared to subjects carrying all other genotype combinations. This is the first study to report a significant association of the SLC12A3 rs11643718 and ELMO1 rs741301 (Single nucleotide Polymorphism) SNPs with diabetic nephropathy in south Indians.
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Affiliation(s)
- Dhanasekaran Bodhini
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Manickam Chidambaram
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Samuel Liju
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Balakannan Revathi
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Dhandapani Laasya
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Natarajan Sathish
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Sekar Kanthimathi
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | | | - Ranjit Mohan Anjana
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India.,Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention & Control, IDF Centre of Education, Chennai, India
| | - Viswanathan Mohan
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India.,Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention & Control, IDF Centre of Education, Chennai, India
| | - Venkatesan Radha
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
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Sandholm N, Van Zuydam N, Ahlqvist E, Juliusdottir T, Deshmukh HA, Rayner NW, Di Camillo B, Forsblom C, Fadista J, Ziemek D, Salem RM, Hiraki LT, Pezzolesi M, Trégouët D, Dahlström E, Valo E, Oskolkov N, Ladenvall C, Marcovecchio ML, Cooper J, Sambo F, Malovini A, Manfrini M, McKnight AJ, Lajer M, Harjutsalo V, Gordin D, Parkkonen M, Tuomilehto J, Lyssenko V, McKeigue PM, Rich SS, Brosnan MJ, Fauman E, Bellazzi R, Rossing P, Hadjadj S, Krolewski A, Paterson AD, Florez JC, Hirschhorn JN, Maxwell AP, Dunger D, Cobelli C, Colhoun HM, Groop L, McCarthy MI, Groop PH. The Genetic Landscape of Renal Complications in Type 1 Diabetes. J Am Soc Nephrol 2016; 28:557-574. [PMID: 27647854 DOI: 10.1681/asn.2016020231] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Accepted: 07/17/2016] [Indexed: 12/14/2022] Open
Abstract
Diabetes is the leading cause of ESRD. Despite evidence for a substantial heritability of diabetic kidney disease, efforts to identify genetic susceptibility variants have had limited success. We extended previous efforts in three dimensions, examining a more comprehensive set of genetic variants in larger numbers of subjects with type 1 diabetes characterized for a wider range of cross-sectional diabetic kidney disease phenotypes. In 2843 subjects, we estimated that the heritability of diabetic kidney disease was 35% (P=6.4×10-3). Genome-wide association analysis and replication in 12,540 individuals identified no single variants reaching stringent levels of significance and, despite excellent power, provided little independent confirmation of previously published associated variants. Whole-exome sequencing in 997 subjects failed to identify any large-effect coding alleles of lower frequency influencing the risk of diabetic kidney disease. However, sets of alleles increasing body mass index (P=2.2×10-5) and the risk of type 2 diabetes (P=6.1×10-4) associated with the risk of diabetic kidney disease. We also found genome-wide genetic correlation between diabetic kidney disease and failure at smoking cessation (P=1.1×10-4). Pathway analysis implicated ascorbate and aldarate metabolism (P=9.0×10-6), and pentose and glucuronate interconversions (P=3.0×10-6) in pathogenesis of diabetic kidney disease. These data provide further evidence for the role of genetic factors influencing diabetic kidney disease in those with type 1 diabetes and highlight some key pathways that may be responsible. Altogether these results reveal important biology behind the major cause of kidney disease.
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Affiliation(s)
- 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
| | - Natalie Van Zuydam
- Wellcome Trust Centre for Human Genetics,Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom.,Medical Research Institute
| | - Emma Ahlqvist
- Department of Clinical Sciences, Diabetes and Endocrinology, Skåne University Hospital, Lund University, Malmö, Sweden
| | | | - Harshal A Deshmukh
- Division of Population Health Sciences, University of Dundee, Dundee, United Kingdom
| | - N William Rayner
- Wellcome Trust Centre for Human Genetics,Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom.,Human Genetics, Wellcome Trust Sanger Institute, Hinxton, United Kingdom
| | - Barbara Di Camillo
- Department of Information Engineering, University of Padova, Padova, Italy
| | - 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
| | - Joao Fadista
- Department of Clinical Sciences, Diabetes and Endocrinology, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Daniel Ziemek
- Computational Sciences, Pfizer Worldwide Research and Development, Berlin, Germany
| | - Rany M Salem
- Departments of Genetics,Programs in Metabolism and Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts.,Divisions of Endocrinology and Genetics, Boston Children's Hospital, Boston, Massachusetts
| | - Linda T Hiraki
- Genetics and Genome Biology Program, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Marcus Pezzolesi
- Section on Genetics and Epidemiology, Joslin Diabetes Center, Boston, Massachusetts
| | - David Trégouët
- Sorbonne Universities, Pierre et Marie Curie University (UPMC) and National Institute for Health and Medical Research, Mixed Research Unit in Health (UMR_S) 1166, Paris, France.,Institute for Cardiometabolism and Nutrition, Genomics and pathophysiology of Cardiovascular diseases, Paris, France
| | - Emma Dahlström
- 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
| | - Erkka Valo
- 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
| | - Nikolay Oskolkov
- Department of Clinical Sciences, Diabetes and Endocrinology, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Claes Ladenvall
- Department of Clinical Sciences, Diabetes and Endocrinology, Skåne University Hospital, Lund University, Malmö, Sweden
| | | | - Jason Cooper
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom
| | - Francesco Sambo
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Alberto Malovini
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.,Laboratory of Informatics and Systems Engineering for Clinical Research, Scientific Institute for Research, Hospitalization and Health Care, IRCCS (Instituto di Ricovero e Cura a Carattere Scientifico); Salvatore Maugeri Foundation, Pavia, Italy
| | - Marco Manfrini
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Amy Jayne McKnight
- Nephrology Research, Centre for Public Health, Queen's University of Belfast, Belfast, United Kingdom
| | - Maria Lajer
- Diabetic Complications, Steno Diabetes Center, Gentofte, Denmark
| | - Valma Harjutsalo
- 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.,The Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Daniel Gordin
- 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
| | - Maija Parkkonen
- 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
| | | | - Jaakko Tuomilehto
- The Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland.,Centre for Vascular Prevention, Danube University Krems, Krems, Austria
| | - Valeriya Lyssenko
- Department of Clinical Sciences, Diabetes and Endocrinology, Skåne University Hospital, Lund University, Malmö, Sweden.,Diabetic Complications, Steno Diabetes Center, Gentofte, Denmark
| | - Paul M McKeigue
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | | | - Eric Fauman
- Computational Sciences, Pfizer Worldwide Research and Development, Cambridge, Massachusetts
| | - Riccardo Bellazzi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Peter Rossing
- Diabetic Complications, Steno Diabetes Center, Gentofte, Denmark.,Department of Health, Aarhus University, Aarhus, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Samy Hadjadj
- Functional Research Unit of Medicine and Pharmacy, University of Poitiers, Poitiers, France.,Department of Endocrinology-Diabetology and Center of Clinical Investigation, Poitiers University Hospital, Poitiers, France.,Institute National pour la Santé et la Recherche Médicale, National Institute for Health and Medical Research, Center of Clinical Investigation 1402 and Unit 1082, Poitiers, France
| | - Andrzej Krolewski
- Section on Genetics and Epidemiology, Joslin Diabetes Center, Boston, Massachusetts
| | - Andrew D Paterson
- Genetics and Genome Biology Program, Hospital for Sick Children, Toronto, Ontario, Canada
| | | | - Jose C Florez
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts.,Diabetes Unit and Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts
| | - Joel N Hirschhorn
- Departments of Genetics,Programs in Metabolism and Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts.,Divisions of Endocrinology and Genetics, Boston Children's Hospital, Boston, Massachusetts
| | - Alexander P Maxwell
- Nephrology Research, Centre for Public Health, Queen's University of Belfast, Belfast, United Kingdom.,Regional Nephrology Unit, Belfast City Hospital, Belfast, United Kingdom; and
| | | | - David Dunger
- Department of Paediatrics, Institute of Metabolic Science, and
| | - Claudio Cobelli
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Helen M Colhoun
- Division of Population Health Sciences, University of Dundee, Dundee, United Kingdom
| | - Leif Groop
- Department of Clinical Sciences, Diabetes and Endocrinology, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics,Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom.,Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, United Kingdom
| | - 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.,Baker IDI (International Diabetes Institute) Heart and Diabetes Institute, Melbourne, Victoria, Australia
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Non-Muscle Myosin Heavy Chain 9 Gene (MYH9) Polymorphism (rs4821481) is Associated with Urinary Albumin Excretion in Iranian Diabetic Patients. IRANIAN RED CRESCENT MEDICAL JOURNAL 2016. [DOI: 10.5812/ircmj.40076] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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Guan M, Ma J, Keaton JM, Dimitrov L, Mudgal P, Stromberg M, Bonomo JA, Hicks PJ, Freedman BI, Bowden DW, Ng MCY. Association of kidney structure-related gene variants with type 2 diabetes-attributed end-stage kidney disease in African Americans. Hum Genet 2016; 135:1251-1262. [PMID: 27461219 DOI: 10.1007/s00439-016-1714-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 07/15/2016] [Indexed: 02/08/2023]
Abstract
African Americans (AAs) are at higher risk for developing end-stage kidney disease (ESKD) compared to European Americans. Genome-wide association studies have identified variants associated with diabetic and non-diabetic kidney diseases. Nephropathy loci, including SLC7A9, UMOD, and SHROOM3, have been implicated in the maintenance of normal glomerular and renal tubular structure and function. Herein, 47 genes important in podocyte, glomerular basement membrane, mesangial cell, mesangial matrix, renal tubular cell, and renal interstitium structure were examined for association with type 2 diabetes (T2D)-attributed ESKD in AAs. Single-variant association analysis was performed in the discovery stage, including 2041 T2D-ESKD cases and 1140 controls (non-diabetic, non-nephropathy). Discrimination analyses in 667 T2D cases-lacking nephropathy excluded T2D-associated SNPs. Nominal associations were tested in an additional 483 T2D-ESKD cases and 554 controls in the replication stage. Meta-analysis of 4218 discovery and replication samples revealed three significant associations with T2D-ESKD at CD2AP and MMP2 (P corr < 0.05 corrected for effective number of SNPs in each locus). Removal of APOL1 renal-risk genotype carriers revealed additional association at five loci, TTC21B, COL4A3, NPHP3-ACAD11, CLDN8, and ARHGAP24 (P corr < 0.05). Genetic variants at COL4A3, CLDN8, and ARHGAP24 were potentially pathogenic. Gene-based associations revealed suggestive significant aggregate effects of coding variants at four genes. Our findings suggest that genetic variation in kidney structure-related genes may contribute to T2D-attributed ESKD in the AA population.
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Affiliation(s)
- Meijian Guan
- Center for Genomics and Personalized Medicine Research, Medical Center Boulevard, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Jun Ma
- Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Department of Nephrology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jacob M Keaton
- Center for Genomics and Personalized Medicine Research, Medical Center Boulevard, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.,Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Latchezar Dimitrov
- Center for Genomics and Personalized Medicine Research, Medical Center Boulevard, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Poorva Mudgal
- Center for Genomics and Personalized Medicine Research, Medical Center Boulevard, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Mary Stromberg
- Center for Genomics and Personalized Medicine Research, Medical Center Boulevard, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Jason A Bonomo
- Center for Genomics and Personalized Medicine Research, Medical Center Boulevard, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.,Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Pamela J Hicks
- Center for Genomics and Personalized Medicine Research, Medical Center Boulevard, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Barry I Freedman
- Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Medical Center Boulevard, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.,Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Medical Center Boulevard, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA. .,Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
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Lin CH, Chang YC, Chuang LM. Early detection of diabetic kidney disease: Present limitations and future perspectives. World J Diabetes 2016; 7:290-301. [PMID: 27525056 PMCID: PMC4958689 DOI: 10.4239/wjd.v7.i14.290] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2016] [Revised: 05/29/2016] [Accepted: 06/29/2016] [Indexed: 02/05/2023] Open
Abstract
Diabetic kidney disease (DKD) is one of the most common diabetic complications, as well as the leading cause of chronic kidney disease and end-stage renal disease around the world. To prevent the dreadful consequence, development of new assays for diagnostic of DKD has always been the priority in the research field of diabetic complications. At present, urinary albumin-to-creatinine ratio and estimated glomerular filtration rate (eGFR) are the standard methods for assessing glomerular damage and renal function changes in clinical practice. However, due to diverse tissue involvement in different individuals, the so-called “non-albuminuric renal impairment” is not uncommon, especially in patients with type 2 diabetes. On the other hand, the precision of creatinine-based GFR estimates is limited in hyperfiltration status. These facts make albuminuria and eGFR less reliable indicators for early-stage DKD. In recent years, considerable progress has been made in the understanding of the pathogenesis of DKD, along with the elucidation of its genetic profiles and phenotypic expression of different molecules. With the help of ever-evolving technologies, it has gradually become plausible to apply the thriving information in clinical practice. The strength and weakness of several novel biomarkers, genomic, proteomic and metabolomic signatures in assisting the early diagnosis of DKD will be discussed in this article.
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Keaton JM, Hellwege JN, Ng MCY, Palmer ND, Pankow JS, Fornage M, Wilson JG, Correa A, Rasmussen-Torvik LJ, Rotter JI, Chen YDI, Taylor KD, Rich SS, Wagenknecht LE, Freedman BI, Bowden DW. Genome-Wide Interaction with Insulin Secretion Loci Reveals Novel Loci for Type 2 Diabetes in African Americans. PLoS One 2016; 11:e0159977. [PMID: 27448167 PMCID: PMC4957757 DOI: 10.1371/journal.pone.0159977] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Accepted: 07/11/2016] [Indexed: 11/18/2022] Open
Abstract
Type 2 diabetes (T2D) is the result of metabolic defects in insulin secretion and insulin sensitivity, yet most T2D loci identified to date influence insulin secretion. We hypothesized that T2D loci, particularly those affecting insulin sensitivity, can be identified through interaction with insulin secretion loci. To test this hypothesis, single nucleotide polymorphisms (SNPs) associated with acute insulin response to glucose (AIRg), a dynamic measure of first-phase insulin secretion, were identified in African Americans from the Insulin Resistance Atherosclerosis Family Study (IRASFS; n = 492 subjects). These SNPs were tested for interaction, individually and jointly as a genetic risk score (GRS), using genome-wide association study (GWAS) data from five cohorts (ARIC, CARDIA, JHS, MESA, WFSM; n = 2,725 cases, 4,167 controls) with T2D as the outcome. In single variant analyses, suggestively significant (Pinteraction<5×10-6) interactions were observed at several loci including LYPLAL1 (rs10746381), CHN2 (rs7796525), and EXOC1 (rs4289500). Notable AIRg GRS interactions were observed with SAMD4A (rs11627203) and UTRN (rs17074194). These data support the hypothesis that additional genetic factors contributing to T2D risk can be identified by interactions with insulin secretion loci.
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Affiliation(s)
- Jacob M. Keaton
- Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Jacklyn N. Hellwege
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Maggie C. Y. Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Nicholette D. Palmer
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - James S. Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Myriam Fornage
- Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - James G. Wilson
- University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Adolfo Correa
- University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Laura J. Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Yii-Der I. Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
| | - Lynne E. Wagenknecht
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Barry I. Freedman
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Department of Internal Medicine - Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Donald W. Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
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Ma J, Guan M, Bowden DW, Ng MC, Hicks PJ, Lea JP, Ma L, Gao C, Palmer ND, Freedman BI. Association Analysis of the Cubilin (CUBN) and Megalin (LRP2) Genes with ESRD in African Americans. Clin J Am Soc Nephrol 2016; 11:1034-1043. [PMID: 27197912 PMCID: PMC4891762 DOI: 10.2215/cjn.12971215] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Accepted: 02/23/2016] [Indexed: 01/31/2023]
Abstract
BACKGROUND AND OBJECTIVES Genetic variation in the cubilin (CUBN) gene is associated with albuminuria and CKD. Common and rare coding variants in CUBN and the gene encoding its transport partner megalin (LRP2) were assessed for association with ESRD in blacks. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Sixty-six CUBN and LRP2 single-nucleotide polymorphisms (SNPs) were selected and analyzed in this multistage study. Exome sequencing data from 529 blacks with type 2 diabetes (T2D) -associated ESRD and 535 controls lacking T2D or nephropathy (the Type 2 Diabetes Genes [T2D-GENES] Consortium) were first evaluated, focusing on coding variants in CUBN and LRP2; 15 potentially associated SNPs identified from the T2D-GENES Consortium as well as 51 other selected SNPs were then assessed in an independent T2D-ESRD sample set of blacks (the Affymetrix Axiom Biobank Genotyping Array [AXIOM]; 2041 patients with T2D-ESRD, 627 patients with T2D without nephropathy, and 1140 nondiabetic, non-nephropathy controls). A meta-analysis combining the T2D-GENES Consortium and the AXIOM data was performed for 18 overlapping SNPs. Additionally, all 66 SNPs were genotyped in the Wake Forest School of Medicine samples of blacks with nondiabetic ESRD (885 patients with nondiabetic ESRD and 721 controls). Association testing with ESRD was performed in models including age, sex, African ancestry proportion, and apolipoprotein L1 gene renal-risk variants. RESULTS CUBN SNP rs1801239 (I2984V), previously associated with albuminuria, was significantly associated with T2D-ESRD in blacks (the T2D-GENES Consortium and the AXIOM meta-analysis, P=0.03; odds ratio, 1.31; 95% confidence interval, 1.03 to 1.67; minor allele frequency =0.028). A novel LRP2 missense variant, rs17848169 (N2632D), was also significantly protective from T2D-ESRD (the T2D-GENES Consortium and the AXIOM, P<0.002; odds ratio, 0.47; 95% confidence interval, 0.29 to 0.75; meta-analysis minor allele frequency =0.007). Neither SNP was associated with T2D when contrasting patients with T2D with controls lacking diabetes. CUBN and LRP2 SNPs were not associated with nondiabetic etiologies of ESRD. CONCLUSIONS Evidence for genetic association exists between a cubilin and a rare megalin variant with diabetes-associated ESRD in populations with recent African ancestry.
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Affiliation(s)
- Jun Ma
- Department of Internal Medicine, Section on Nephrology and
- Department of Nephrology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; and
| | - Meijian Guan
- Department of Biochemistry and Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Donald W. Bowden
- Department of Biochemistry and Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Maggie C.Y. Ng
- Department of Biochemistry and Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Pamela J. Hicks
- Department of Biochemistry and Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Janice P. Lea
- Division of Renal Medicine, Department of Medicine, Emory School of Medicine, Atlanta, Georgia
| | - Lijun Ma
- Department of Internal Medicine, Section on Nephrology and
| | - Chuan Gao
- Department of Biochemistry and Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Nicholette D. Palmer
- Department of Biochemistry and Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina
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48
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Heinzel A, Mühlberger I, Stelzer G, Lancet D, Oberbauer R, Martin M, Perco P. Molecular disease presentation in diabetic nephropathy. Nephrol Dial Transplant 2016. [PMID: 26209734 DOI: 10.1093/ndt/gfv267] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Diabetic nephropathy, as the most prevalent chronic disease of the kidney, has also become the primary cause of end-stage renal disease with the incidence of kidney disease in type 2 diabetics continuously rising. As with most chronic diseases, the pathophysiology is multifactorial with a number of deregulated molecular processes contributing to disease manifestation and progression. Current therapy mainly involves interfering in the renin-angiotensin-aldosterone system using angiotensin-converting enzyme inhibitors or angiotensin-receptor blockers. Better understanding of molecular processes deregulated in the early stages and progression of disease hold the key for development of novel therapeutics addressing this complex disease. With the advent of high-throughput omics technologies, researchers set out to systematically study the disease on a molecular level. Results of the first omics studies were mainly focused on reporting the highest deregulated molecules between diseased and healthy subjects with recent attempts to integrate findings of multiple studies on the level of molecular pathways and processes. In this review, we will outline key omics studies on the genome, transcriptome, proteome and metabolome level in the context of DN. We will also provide concepts on how to integrate findings of these individual studies (i) on the level of functional processes using the gene-ontology vocabulary, (ii) on the level of molecular pathways and (iii) on the level of phenotype molecular models constructed based on protein-protein interaction data.
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Affiliation(s)
| | | | - Gil Stelzer
- Weizmann Institute of Science, Rehovot, Israel
| | | | | | - Maria Martin
- EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, UK
| | - Paul Perco
- emergentec biodevelopment GmbH, Vienna, Austria
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Davoudi S, Sobrin L. Novel Genetic Actors of Diabetes-Associated Microvascular Complications: Retinopathy, Kidney Disease and Neuropathy. Rev Diabet Stud 2016; 12:243-59. [PMID: 26859656 DOI: 10.1900/rds.2015.12.243] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Both type 1 and type 2 diabetes mellitus can lead to the common microvascular complications of diabetic retinopathy, kidney disease, and neuropathy. Diabetic patients do not universally develop these complications. Long duration of diabetes and poor glycemic control explain a lot of the variability in the development of microvascular complications, but not all. Genetic factors account for some of the remaining variability because of the heritability and familial clustering of these complications. There have been a large number of investigations, including linkage studies, candidate gene studies, and genome-wide association studies, all of which have sought to identify the specific variants that increase susceptibility. For retinopathy, several genome-wide association studies have been performed in small or midsize samples, but no reproducible loci across the studies have been identified. For diabetic kidney disease, genome-wide association studies in larger samples have been performed, and loci for this complication are beginning to emerge. However, validation of the existing discoveries, and further novel discoveries in larger samples is ongoing. The amount of genetic research into diabetic neuropathy has been very limited, and much is dedicated to the understanding of genetic risk factors only. Collaborations that pool samples and aim to detect phenotype classifications more precisely are promising avenues for a better explanation of the genetics of diabetic microvascular complications.
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Affiliation(s)
- Samaneh Davoudi
- Massachusetts Eye and Ear Infirmary, Harvard Medical School, 243 Charles Street, Boston, MA 02114, USA
| | - Lucia Sobrin
- Massachusetts Eye and Ear Infirmary, Harvard Medical School, 243 Charles Street, Boston, MA 02114, USA
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50
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Conserva F, Gesualdo L, Papale M. A Systems Biology Overview on Human Diabetic Nephropathy: From Genetic Susceptibility to Post-Transcriptional and Post-Translational Modifications. J Diabetes Res 2016; 2016:7934504. [PMID: 26798653 PMCID: PMC4698547 DOI: 10.1155/2016/7934504] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Revised: 08/16/2015] [Accepted: 09/10/2015] [Indexed: 12/19/2022] Open
Abstract
Diabetic nephropathy (DN), a microvascular complication occurring in approximately 20-40% of patients with type 2 diabetes mellitus (T2DM), is characterized by the progressive impairment of glomerular filtration and the development of Kimmelstiel-Wilson lesions leading to end-stage renal failure (ESRD). The causes and molecular mechanisms mediating the onset of T2DM chronic complications are yet sketchy and it is not clear why disease progression occurs only in some patients. We performed a systematic analysis of the most relevant studies investigating genetic susceptibility and specific transcriptomic, epigenetic, proteomic, and metabolomic patterns in order to summarize the most significant traits associated with the disease onset and progression. The picture that emerges is complex and fascinating as it includes the regulation/dysregulation of numerous biological processes, converging toward the activation of inflammatory processes, oxidative stress, remodeling of cellular function and morphology, and disturbance of metabolic pathways. The growing interest in the characterization of protein post-translational modifications and the importance of handling large datasets using a systems biology approach are also discussed.
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Affiliation(s)
- Francesca Conserva
- Division of Nephrology, Department of Emergency and Organ Transplantation, University of Bari, 70124 Bari, Italy
- Division of Cardiology and Cardiac Rehabilitation, “S. Maugeri” Foundation, IRCCS, Institute of Cassano Murge, 70020 Cassano delle Murge, Italy
| | - Loreto Gesualdo
- Division of Nephrology, Department of Emergency and Organ Transplantation, University of Bari, 70124 Bari, Italy
- *Loreto Gesualdo:
| | - Massimo Papale
- Molecular Medicine Center, Section of Nephrology, Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
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