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Evin F, Kırkgöz T, Atik T, Ak G, Köse T, Kabasakal C, Özkan B, Özen S, Darcan Ş, Gökşen D. "Predicting diabetic kidney disease in youth with type 1 diabetes: Insights from genetic risk assessment". J Diabetes Complications 2024; 38:108833. [PMID: 39293150 DOI: 10.1016/j.jdiacomp.2024.108833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 08/05/2024] [Accepted: 08/05/2024] [Indexed: 09/20/2024]
Abstract
OBJECTIVE Diabetic kidney disease (DKD) is influenced by multiple factors, yet its precise progression mechanisms remain largely unclear. This study aimed to create a clinical risk-scoring system based on genetic polymorphisms in the AFF3, CARS, CERS2, ERBB4, GLRA3, RAET1L, TMPO, and ZMIZ1 genes. METHODS The study included a DKD group diagnosed with diabetic kidney disease before age 18 and a WDC group matched by age, gender, and age at diabetes diagnosis. Genetic data and clinical data from diabetes diagnosis to moderately increased albuminuria (MIA) detection were compared between the groups. RESULTS Among 43 DKD cases, 22 were girls and 21 were boys. At MIA diagnosis, mean body weight SDS was -0.24 ± 0.94, height SDS was 0.34 ± 1.15, and BMI SDS was -0.26 ± 0.94. Systolic blood pressure was at the 72nd percentile (2-99), and diastolic blood pressure was at the 74th percentile (33-99). Significant differences in rs267734, rs267738, and rs942263 polymorphisms were found between DKD and non-complication diabetic groups (13[30.2 %] vs 5[11.6 %], p = 0.034; 14[32.6 %] vs 5[11.6 %], p = 0.019; 26[60.5 %] vs 40[93 %], p < 0.001). CONCLUSION Several factors were identified as significant in DKD onset, including low follow-up weight SDS, elevated diastolic blood pressure, presence of rs267734, and absence of rs942263 polymorphisms. The model demonstrated a specificity of 81.4 % and a sensitivity of 74.4 %.
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Affiliation(s)
- Ferda Evin
- Division of Pediatric Endocrinology, Department of Pediatrics, School of Medicine, Ege University, Izmir, Turkey.
| | - Tarık Kırkgöz
- Division of Pediatric Endocrinology, Department of Pediatrics, Dr. Behçet Uz Children's Education and Research Hospital, Izmir, Turkey
| | - Tahir Atik
- Division of Pediatric Genetics, Department of Pediatrics, School of Medicine, Ege University, Izmir, Turkey
| | - Güneş Ak
- Department of Biochemistry, School of Medicine, Ege University, Izmir, Turkey
| | - Timur Köse
- Department of Biostatistics and Medical Informatics, School of Medicine, Ege University, Izmir, Turkey
| | - Caner Kabasakal
- Division of Pediatric Nephrology, Department of Pediatrics, School of Medicine, Ege University, Izmir, Turkey
| | - Behzat Özkan
- Division of Pediatric Endocrinology, Department of Pediatrics, Dr. Behçet Uz Children's Education and Research Hospital, Izmir, Turkey
| | - Samim Özen
- Division of Pediatric Endocrinology, Department of Pediatrics, School of Medicine, Ege University, Izmir, Turkey
| | - Şükran Darcan
- Division of Pediatric Endocrinology, Department of Pediatrics, School of Medicine, Ege University, Izmir, Turkey
| | - Damla Gökşen
- Division of Pediatric Endocrinology, Department of Pediatrics, School of Medicine, Ege University, Izmir, Turkey
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2
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Sung HY, Lee S, Han M, An WJ, Ryu H, Kang E, Park YS, Lee SE, Ahn C, Oh KH, Park SK, Ahn JH. Epigenome-wide association study of diabetic chronic kidney disease progression in the Korean population: the KNOW-CKD study. Sci Rep 2023; 13:8175. [PMID: 37210443 DOI: 10.1038/s41598-023-35485-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 05/18/2023] [Indexed: 05/22/2023] Open
Abstract
Since the etiology of diabetic chronic kidney disease (CKD) is multifactorial, studies on DNA methylation for kidney function deterioration have rarely been performed despite the need for an epigenetic approach. Therefore, this study aimed to identify epigenetic markers associated with CKD progression based on the decline in the estimated glomerular filtration rate in diabetic CKD in Korea. An epigenome-wide association study was performed using whole blood samples from 180 CKD recruited from the KNOW-CKD cohort. Pyrosequencing was also performed on 133 CKD participants as an external replication analysis. Functional analyses, including the analysis of disease-gene networks, reactome pathways, and protein-protein interaction networks, were conducted to identify the biological mechanisms of CpG sites. A phenome-wide association study was performed to determine the associations between CpG sites and other phenotypes. Two epigenetic markers, cg10297223 on AGTR1 and cg02990553 on KRT28 indicated a potential association with diabetic CKD progression. Based on the functional analyses, other phenotypes (blood pressure and cardiac arrhythmia for AGTR1) and biological pathways (keratinization and cornified envelope for KRT28) related to CKD were also identified. This study suggests a potential association between the cg10297223 and cg02990553 and the progression of diabetic CKD in Koreans. Nevertheless, further validation is needed through additional studies.
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Affiliation(s)
- Hye Youn Sung
- Department of Biochemistry, Ewha Womans University College of Medicine, 25 Magokdong‑ro 2‑gil, Gangseo‑gu, Seoul, 07804, South Korea
| | - Sangjun Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongro-gu, Seoul, 03080, South Korea
- Cancer Research Institute, Seoul National University, Seoul, South Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
| | - Miyeun Han
- Department of Internal Medicine, National Medical Center, Seoul, South Korea
| | - Woo Ju An
- Department of Preventive Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongro-gu, Seoul, 03080, South Korea
- Cancer Research Institute, Seoul National University, Seoul, South Korea
- Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyunjin Ryu
- Department of Internal Medicine, Seoul National University Hospital, 103, Daehak-ro, Jongro-gu, Seoul, 03080, Republic of Korea
| | - Eunjeong Kang
- Department of Internal Medicine, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Yong Seek Park
- Department of Microbiology, School of Medicine, Kyung Hee University, Seoul, South Korea
| | - Seung Eun Lee
- Department of Microbiology, School of Medicine, Kyung Hee University, Seoul, South Korea
| | - Curie Ahn
- Department of Internal Medicine, National Medical Center, Seoul, South Korea
- Department of Internal Medicine, Seoul National University Hospital, 103, Daehak-ro, Jongro-gu, Seoul, 03080, Republic of Korea
| | - Kook-Hwan Oh
- Department of Internal Medicine, Seoul National University Hospital, 103, Daehak-ro, Jongro-gu, Seoul, 03080, Republic of Korea.
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongro-gu, Seoul, 03080, South Korea.
- Cancer Research Institute, Seoul National University, Seoul, South Korea.
- Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, South Korea.
| | - Jung-Hyuck Ahn
- Department of Biochemistry, Ewha Womans University College of Medicine, 25 Magokdong‑ro 2‑gil, Gangseo‑gu, Seoul, 07804, South Korea.
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3
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Khattab A, Torkamani A. Nidogen-1 could play a role in diabetic kidney disease development in type 2 diabetes: a genome-wide association meta-analysis. Hum Genomics 2022; 16:47. [PMID: 36271454 PMCID: PMC9587571 DOI: 10.1186/s40246-022-00422-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 10/12/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Diabetic kidney disease (DKD) affects about 40% of patients with diabetes. It is incurable and usually leads to end-stage renal disease (ESRD). The pathogenesis of DKD is still not fully understood, and the genetics of DKD have not yet been extensively studied. In this study, we investigate the genetic basis of DKD in type 2 diabetes (T2D) to provide more insights into the pathogenesis of the disease. RESULTS Using the data provided by the UK Biobank (UKBB), we performed a DKD genome-wide association study (GWAS) in 13,123 individuals with T2D as well as two creatinine estimated glomerular filtration rate (eGFR) GWA studies: one in 26,786 individuals with T2D and the other in 339,080 non-diabetic individuals. We also conducted a DKD GWAS meta-analysis combining our results with those published by the surrogate markers for micro- and macro-vascular hard endpoints for Innovative diabetes Tools (SUMMIT) consortium. We confirm two loci previously reported to be associated with chronic kidney disease (CKD) and eGFR in T2D. The UMOD-PDILT locus is associated with DKD (P = 1.17E-09) as well as creatinine eGFR in both people with T2D (P = 1.31E-15) and people without diabetes (P = 3.95E-73). The PRKAG2 locus is associated with creatinine eGFR in people with (P = 2.78E-10) and without (P = 5.65E-72) T2D. Our meta-analysis reveals a novel association between DKD and variant rs72763500 (chr1:236116561) which is a splicing quantitative trait locus (sQTL) for nidogen-1 (NID1) gene. CONCLUSION Our data confirm two loci previously reported in association with CKD and creatinine eGFR in T2D. It also suggests that NID1, a major component of the renal tubular basement membrane, could play a role in DKD development in T2D. While our NID1 finding remains to be replicated, it is a step toward a more comprehensive understanding of DKD pathogenesis.
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Affiliation(s)
- Ahmed Khattab
- Integrative Structural and Computational Biology, Scripps Research, 3344 North Torrey Pines Court, Suite 300, La Jolla, CA, 92037, USA.,Scripps Research Translational Institute, La Jolla, CA, 92037, USA
| | - Ali Torkamani
- Integrative Structural and Computational Biology, Scripps Research, 3344 North Torrey Pines Court, Suite 300, La Jolla, CA, 92037, USA. .,Scripps Research Translational Institute, La Jolla, CA, 92037, USA.
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Hsa-miR-3651 could serve as a novel predictor for in-breast recurrence via FRMD3. Breast Cancer 2021; 29:274-286. [PMID: 34865205 PMCID: PMC8885475 DOI: 10.1007/s12282-021-01308-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 10/25/2021] [Indexed: 11/29/2022]
Abstract
Background MicroRNAs are small non-coding RNAs with pivotal regulatory functions in multiple cellular processes. Their significance as molecular predictors for breast cancer was demonstrated in the past 15 years. The aim of this study was to elucidate the role of hsa-miR-3651 for predicting of local control (LC) in early breast cancer. Results By means of high-throughput technology, hsa-miR-3651 was found to be differentially expressed between patients who experienced local relapse compared to those without (N = 23; p = 0.0035). This result could be validated in an independent cohort of 87 patients using RT-qPCR (p < 0.0005). In a second analysis step with a chip-based microarray containing 70,523 probes of potential target molecules, FERM domain protein 3 (FRMD3) was found to be the most down-regulated protein (N = 21; p = 0.0016). Computational analysis employing different prediction algorithms revealed FRMD3 as a likely downstream target of hsa-miR-3651 with an 8mer binding site between the two molecules. This could be validated in an independent patient set (N = 20, p = 0.134). Conclusion The current study revealed that hsa-miR-3651 is a predictor of LC in early breast cancer via its putative target protein FRMD3. Since microRNAs interfere in multiple pathways, the results of this hypothesis generating study may contribute to the development of tailored therapies for breast cancer in the future. Supplementary Information The online version contains supplementary material available at 10.1007/s12282-021-01308-y.
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Zheng F, Xu H, Huang S, Zhang C, Li S, Wang K, Dai W, Zhang X, Tang D, Dai Y. The Landscape and Potential Regulatory Mechanism of Lysine 2-Hydroxyisobutyrylation of Protein in End-Stage Renal Disease. Nephron Clin Pract 2021; 145:760-769. [PMID: 34515164 DOI: 10.1159/000518424] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 07/07/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Acetylation has a vital role in the pathogenesis of end-stage renal disease (ESRD). Lysine 2-hydroxyisobutyrylation (Khib) is a novel type of acetylation. In this study, we aimed to reveal the key features of Khib in peripheral blood monocytes (PBMCs) of patients with ESRD. METHOD We combined TMT labeling with LC-MS/MS analysis to compare Khib modification of PBMCs between 20 ESRD patients and 20 healthy controls. The pan 2-hydroxyisobutyrylation antibody-based affinity enrichment method was used to reveal the features of Khib, and the bioinformatics analysis was conducted to analyze the pathology of these Khib-modified proteins. RESULT Compared to healthy controls, we identified 440 upregulated proteins and 552 downregulated proteins in PBMCs of ESRD, among which 579 Khib sites on 324 upregulated proteins and 287 Khib sites on 188 downregulated proteins were identified. The site abundance, distribution, and function of the Khib protein were further analyzed. The bioinformatics analysis revealed that the Rho/ROCK signaling pathway was highly enriched in ESRD, suggesting that it might contribute to renal fibrosis in ESRD patients. CONCLUSION In this study, we found that Khib-modified proteins correlated with the occurrence and progression of ESRD.
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Affiliation(s)
- Fengping Zheng
- Department of Nephrology, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital Southern University of Science and Technology, Shenzhen, China, .,Department of Clinical Medical Research Center, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital Southern University of Science and Technology, Shenzhen, China,
| | - Huixuan Xu
- Department of Nephrology, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital Southern University of Science and Technology, Shenzhen, China
| | - Shaoying Huang
- Department of Nephrology, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital Southern University of Science and Technology, Shenzhen, China
| | - Cantong Zhang
- Department of Nephrology, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital Southern University of Science and Technology, Shenzhen, China
| | - Shanshan Li
- Department of Nephrology, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital Southern University of Science and Technology, Shenzhen, China
| | - Kang Wang
- Department of Nephrology, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital Southern University of Science and Technology, Shenzhen, China
| | - Weier Dai
- College of Natural Science, the University of Texas at Austin, Austin, Texas, USA
| | - Xinzhou Zhang
- Department of Nephrology, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital Southern University of Science and Technology, Shenzhen, China
| | - Donge Tang
- Department of Clinical Medical Research Center, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital Southern University of Science and Technology, Shenzhen, China
| | - Yong Dai
- Department of Nephrology, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital Southern University of Science and Technology, Shenzhen, China.,Department of Clinical Medical Research Center, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital Southern University of Science and Technology, Shenzhen, China
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6
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Ma L, Wang S, Zhao H, Yu M, Deng X, Jiang Y, Cao Y, Li P, Niu W. Susceptibility of ApoB and PCSK9 Genetic Polymorphisms to Diabetic Kidney Disease Among Chinese Diabetic Patients. Front Med (Lausanne) 2021; 8:659188. [PMID: 33889589 PMCID: PMC8055819 DOI: 10.3389/fmed.2021.659188] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 03/12/2021] [Indexed: 11/28/2022] Open
Abstract
This study aimed to investigate the susceptibility of 8 polymorphisms in ApoB and PCSK9 genes to diabetic kidney disease (DKD) in Chinese patients with type 2 diabetes mellitus. This is a case-control association study, including 575 DKD cases and 653 controls. Genotypes were determined using ligase detection reaction method, and data are analyzed using STATA software. The genotype distributions of rs1042034 and rs12720838 differed significantly between the two groups (P < 0.001 and P = 0.008, respectively). After adjusting for confounding factors, the mutations of rs1042034 and rs12720838 were associated with the significantly increased risk of DKD. For instance, carriers of rs1042034 T allele (CT and TT genotypes) were 1.07 times more likely to have DKD than carriers of rs1042034 CC genotype [odds ratio (OR) = 1.07, 95% confidence interval (CI): 1.03–1.10, P < 0.001]. Further, haplotype T-A-G-T in ApoB gene was overrepresented in cases (18.10%) compared with controls (12.76%) (PSimulated = 0.045), and haplotype T-A-G-T was associated with a 33% increased risk of DKD (OR = 1.33, 95% CI: 1.04, 1.70). In further haplotype-phenotype analysis, significant association was only noted for hypertension and omnibus haplotypes in ApoB gene (PSimulated = 0.001). Our findings indicate that ApoB gene is a candidate gene for DKD in Chinese patients with type 2 diabetes mellitus.
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Affiliation(s)
- Liang Ma
- Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Shaoting Wang
- Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Hailing Zhao
- Beijing Key Laboratory of Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Science, China-Japan Friendship Hospital, Beijing, China
| | - Meijie Yu
- Department of Nephrology, China-Japan Friendship Hospital, Beijing, China
| | - Xiangling Deng
- Institute of Clinical Medical Science, China-Japan Friendship Hospital, Beijing, China
| | - Yongwei Jiang
- Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Yongtong Cao
- Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Ping Li
- Beijing Key Laboratory of Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Science, China-Japan Friendship Hospital, Beijing, China
| | - Wenquan Niu
- Institute of Clinical Medical Science, China-Japan Friendship Hospital, Beijing, China
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7
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Gorski M, Jung B, Li Y, Matias-Garcia PR, Wuttke M, Coassin S, Thio CHL, Kleber ME, Winkler TW, Wanner V, Chai JF, Chu AY, Cocca M, Feitosa MF, Ghasemi S, Hoppmann A, Horn K, Li M, Nutile T, Scholz M, Sieber KB, Teumer A, Tin A, Wang J, Tayo BO, Ahluwalia TS, Almgren P, Bakker SJL, Banas B, Bansal N, Biggs ML, Boerwinkle E, Bottinger EP, Brenner H, Carroll RJ, Chalmers J, Chee ML, Chee ML, Cheng CY, Coresh J, de Borst MH, Degenhardt F, Eckardt KU, Endlich K, Franke A, Freitag-Wolf S, Gampawar P, Gansevoort RT, Ghanbari M, Gieger C, Hamet P, Ho K, Hofer E, Holleczek B, Xian Foo VH, Hutri-Kähönen N, Hwang SJ, Ikram MA, Josyula NS, Kähönen M, Khor CC, Koenig W, Kramer H, Krämer BK, Kühnel B, Lange LA, Lehtimäki T, Lieb W, Loos RJF, Lukas MA, Lyytikäinen LP, Meisinger C, Meitinger T, Melander O, Milaneschi Y, Mishra PP, Mononen N, Mychaleckyj JC, Nadkarni GN, Nauck M, Nikus K, Ning B, Nolte IM, O'Donoghue ML, Orho-Melander M, Pendergrass SA, Penninx BWJH, Preuss MH, Psaty BM, Raffield LM, Raitakari OT, Rettig R, Rheinberger M, Rice KM, Rosenkranz AR, Rossing P, Rotter JI, Sabanayagam C, Schmidt H, Schmidt R, Schöttker B, Schulz CA, Sedaghat S, Shaffer CM, Strauch K, Szymczak S, Taylor KD, Tremblay J, Chaker L, van der Harst P, van der Most PJ, Verweij N, Völker U, Waldenberger M, Wallentin L, Waterworth DM, White HD, Wilson JG, Wong TY, Woodward M, Yang Q, Yasuda M, Yerges-Armstrong LM, Zhang Y, Snieder H, Wanner C, Böger CA, Köttgen A, Kronenberg F, Pattaro C, Heid IM. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline. Kidney Int 2021; 99:926-939. [PMID: 33137338 PMCID: PMC8010357 DOI: 10.1016/j.kint.2020.09.030] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 08/21/2020] [Accepted: 09/17/2020] [Indexed: 12/19/2022]
Abstract
Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m2/year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25% or more and eGFRcrea under 60 mL/min/1.73m2 at follow-up among those with eGFRcrea 60 mL/min/1.73m2 or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or LARP4B. Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function.
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Affiliation(s)
- Mathias Gorski
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany; Department of Nephrology, University Hospital Regensburg, Regensburg, Germany.
| | - Bettina Jung
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Yong Li
- Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Pamela R Matias-Garcia
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Matthias Wuttke
- Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany; Renal Division, Department of Medicine IV, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Stefan Coassin
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Chris H L Thio
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Marcus E Kleber
- Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Veronika Wanner
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Jin-Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Audrey Y Chu
- Genetics, Merck & Co., Inc., Kenilworth, New Jersey, USA
| | - Massimiliano Cocca
- Institute for Maternal and Child Health, IRCCS "Burlo Garofolo," Trieste, Italy
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Sahar Ghasemi
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - Anselm Hoppmann
- Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Katrin Horn
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany; LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Man Li
- Division of Nephrology and Hypertension, Department of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Teresa Nutile
- Institute of Genetics and Biophysics "Adriano Buzzati-Traverso"-CNR, Naples, Italy
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany; LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Karsten B Sieber
- Human Genetics, GlaxoSmithKline, Collegeville, Pennsylvania, USA
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - Adrienne Tin
- Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, Mississippi, USA; Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Judy Wang
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bamidele O Tayo
- Department of Public Health Sciences, Loyola University Chicago, Maywood, Illinois, USA
| | | | - Peter Almgren
- Diabetes and Cardiovascular Disease-Genetic Epidemiology, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Stephan J L Bakker
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Bernhard Banas
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Nisha Bansal
- Division of Nephrology, University of Washington, Seattle, Washington, USA; Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Mary L Biggs
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA; Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, Texas, USA
| | - Erwin P Bottinger
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Digital Health Center, Hasso Plattner Institute and University of Potsdam, Potsdam, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Robert J Carroll
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John Chalmers
- The George Institute for Global Health, University of New South Wales, Sydney, Australia; The George Institute for Global Health, University of Oxford, Oxford, UK; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Miao-Li Chee
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore
| | - Miao-Ling Chee
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Martin H de Borst
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Frauke Degenhardt
- Institute of Clinical Molecular Biology, Christian-AlbrechtsUniversity of Kiel, Kiel, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany; Department of Nephrology and Hypertension, Friedrich Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Karlhans Endlich
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany; Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-AlbrechtsUniversity of Kiel, Kiel, Germany
| | - Sandra Freitag-Wolf
- Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Piyush Gampawar
- Institute of Molecular Biology and Biochemistry, Center for Molecular Medicine, Medical University of Graz, Graz, Austria
| | - Ron T Gansevoort
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Pavel Hamet
- Montreal University Hospital Research Center, CHUM, Montreal, Quebec, Canada; Medpharmgene, Montreal, Quebec, Canada; CRCHUM, Montreal, Canada
| | - Kevin Ho
- Kidney Health Research Institute (KHRI), Geisinger, Danville, Pennsylvania, USA; Department of Nephrology, Geisinger, Danville, Pennsylvania, USA
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Bernd Holleczek
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Valencia Hui Xian Foo
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Tampere University Hospital, Tampere, Finland; Department of Pediatrics, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Shih-Jen Hwang
- NHLBI's Framingham Heart Study, Framingham, Massachusetts, USA; The Center for Population Studies, NHLBI, Framingham, Massachusetts, USA
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Navya Shilpa Josyula
- Geisinger Research, Biomedical and Translational Informatics Institute, Rockville, Maryland, USA
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland; Department of Clinical Physiology, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Chiea-Chuen Khor
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore; Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany; Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Holly Kramer
- Department of Public Health Sciences, Loyola University Chicago, Maywood, Illinois, USA; Division of Nephrology and Hypertension, Loyola University Chicago, Chicago, Illinois, USA
| | - Bernhard K Krämer
- Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank Popgen, Kiel University, Kiel, Germany
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mary Ann Lukas
- Target Sciences-Genetics, GlaxoSmithKline, Albuquerque, New Mexico, USA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Christa Meisinger
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Chair of Epidemiology, Ludwig-Maximilians-Universität München at UNIKA-T Augsburg, Augsburg, Germany
| | - Thomas Meitinger
- DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany; Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany; Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Olle Melander
- Hypertension and Cardiovascular Disease, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, the Netherlands
| | - Pashupati P Mishra
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Josyf C Mychaleckyj
- Center for Public Health Genomics, University of Virginia, Charlottesville, Charlottesville, Virginia, USA
| | - Girish N Nadkarni
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Matthias Nauck
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany; Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Kjell Nikus
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere, Finland; Department of Cardiology, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Boting Ning
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Michelle L O'Donoghue
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA; TIMI Study Group, Boston, Massachusetts, USA
| | - Marju Orho-Melander
- Diabetes and Cardiovascular Disease-Genetic Epidemiology, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Sarah A Pendergrass
- Geisinger Research, Biomedical and Translational Informatics Institute, Danville, Pennsylvania, USA
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, the Netherlands
| | - Michael H Preuss
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, Department of Epidemiology, Department of Health Services, University of Washington, Seattle, Washington, USA; Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland; Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Rainer Rettig
- Institute of Physiology, University Medicine Greifswald, Karlsburg, Germany
| | - Myriam Rheinberger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany; Department of Nephrology and Rheumatology, Kliniken Südostbayern, Regensburg, Germany
| | - Kenneth M Rice
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Alexander R Rosenkranz
- Department of Internal Medicine, Division of Nephrology, Medical University Graz, Graz, Austria
| | | | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Helena Schmidt
- Institute of Molecular Biology and Biochemistry, Center for Molecular Medicine, Medical University of Graz, Graz, Austria
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Christina-Alexandra Schulz
- Diabetes and Cardiovascular Disease-Genetic Epidemiology, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Sanaz Sedaghat
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Christian M Shaffer
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Chair of Genetic Epidemiology, IBE, Faculty of Medicine, Ludwig-Maximilians-Universität München, München, Germany
| | - Silke Szymczak
- Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Johanne Tremblay
- Montreal University Hospital Research Center, CHUM, Montreal, Quebec, Canada; CRCHUM, Montreal, Canada; Medpharmgene, Montreal, Quebec, Canada
| | - Layal Chaker
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Durrer Center for Cardiovascular Research, The Netherlands Heart Institute, Utrecht, the Netherlands
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Uwe Völker
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany; Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Lars Wallentin
- Cardiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | | | - Harvey D White
- Green Lane Cardiovascular Service, Auckland City Hospital and University of Auckland, Auckland, New Zealand
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Mark Woodward
- The George Institute for Global Health, University of New South Wales, Sydney, Australia; The George Institute for Global Health, University of Oxford, Oxford, UK; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Masayuki Yasuda
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore; Department of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan
| | | | - Yan Zhang
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Christoph Wanner
- Division of Nephrology, University Clinic, University of Würzburg, Würzburg, Germany
| | - Carsten A Böger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany; Department of Nephrology and Rheumatology, Kliniken Südostbayern, Regensburg, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Florian Kronenberg
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Cristian Pattaro
- Eurac Research, Institute for Biomedicine (affiliated with the University of Lübeck), Bolzano, Italy
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
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Fan L, Gao W, Nguyen BV, Jefferson JR, Liu Y, Fan F, Roman RJ. Impaired renal hemodynamics and glomerular hyperfiltration contribute to hypertension-induced renal injury. Am J Physiol Renal Physiol 2020; 319:F624-F635. [PMID: 32830539 DOI: 10.1152/ajprenal.00239.2020] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Recently, we reported a mutation in γ-adducin (ADD3) was associated with an impaired myogenic response of the afferent arteriole and hypertension-induced chronic kidney disease (CKD) in fawn hooded hypertensive (FHH) rats. However, the mechanisms by which altered renal blood flow (RBF) autoregulation promotes hypertension-induced renal injury remain to be determined. The present study compared the time course of changes in renal hemodynamics and the progression of CKD during the development of DOCA-salt hypertension in FHH 1BN congenic rats [wild-type (WT)] with an intact myogenic response versus FHH 1BN Add3KO (Add3KO) rats, which have impaired myogenic response. RBF was well autoregulated in WT rats but not in Add3KO rats. Glomerular capillary pressure rose by 6 versus 14 mmHg in WT versus Add3KO rats when blood pressure increased from 100 to 150 mmHg. After 1 wk of hypertension, glomerular filtration rate increased by 38% and glomerular nephrin expression decreased by 20% in Add3KO rats. Neither were altered in WT rats. Proteinuria doubled in WT rats versus a sixfold increase in Add3KO rats. The degree of renal injury was greater in Add3KO than WT rats after 3 wk of hypertension. RBF, glomerular filtration rate, and glomerular capillary pressure were lower by 20%, 28%, and 19% in Add3KO rats than in WT rats, which was associated with glomerular matrix expansion and loss of capillary filtration area. The results indicated that impaired RBF autoregulation and eutrophic remodeling of preglomerular arterioles increase the transmission of pressure to glomeruli, which induces podocyte loss and accelerates the progression of CKD in hypertensive Add3KO rats.
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Affiliation(s)
- Letao Fan
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Wenjun Gao
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Bond V Nguyen
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Joshua R Jefferson
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Yedan Liu
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Fan Fan
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Richard J Roman
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
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9
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Fan F, Geurts AM, Pabbidi MR, Ge Y, Zhang C, Wang S, Liu Y, Gao W, Guo Y, Li L, He X, Lv W, Muroya Y, Hirata T, Prokop J, Booz GW, Jacob HJ, Roman RJ. A Mutation in γ-Adducin Impairs Autoregulation of Renal Blood Flow and Promotes the Development of Kidney Disease. J Am Soc Nephrol 2020; 31:687-700. [PMID: 32029431 DOI: 10.1681/asn.2019080784] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 12/14/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The genes and mechanisms involved in the association between diabetes or hypertension and CKD risk are unclear. Previous studies have implicated a role for γ-adducin (ADD3), a cytoskeletal protein encoded by Add3. METHODS We investigated renal vascular function in vitro and in vivo and the susceptibility to CKD in rats with wild-type or mutated Add3 and in genetically modified rats with overexpression or knockout of ADD3. We also studied glomeruli and primary renal vascular smooth muscle cells isolated from these rats. RESULTS This study identified a K572Q mutation in ADD3 in fawn-hooded hypertensive (FHH) rats-a mutation previously reported in Milan normotensive (MNS) rats that also develop kidney disease. Using molecular dynamic simulations, we found that this mutation destabilizes a critical ADD3-ACTIN binding site. A reduction of ADD3 expression in membrane fractions prepared from the kidney and renal vascular smooth muscle cells of FHH rats was associated with the disruption of the F-actin cytoskeleton. Compared with renal vascular smooth muscle cells from Add3 transgenic rats, those from FHH rats had elevated membrane expression of BKα and BK channel current. FHH and Add3 knockout rats exhibited impairments in the myogenic response of afferent arterioles and in renal blood flow autoregulation, which were rescued in Add3 transgenic rats. We confirmed these findings in a genetic complementation study that involved crossing FHH and MNS rats that share the ADD3 mutation. Add3 transgenic rats showed attenuation of proteinuria, glomerular injury, and kidney fibrosis with aging and mineralocorticoid-induced hypertension. CONCLUSIONS This is the first report that a mutation in ADD3 that alters ACTIN binding causes renal vascular dysfunction and promotes the susceptibility to kidney disease.
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Affiliation(s)
- Fan Fan
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Aron M Geurts
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Mallikarjuna R Pabbidi
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Ying Ge
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Chao Zhang
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Shaoxun Wang
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Yedan Liu
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Wenjun Gao
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Ya Guo
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Longyang Li
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Xiaochen He
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Wenshan Lv
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Yoshikazu Muroya
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Takashi Hirata
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Jeremy Prokop
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan
| | - George W Booz
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Howard J Jacob
- Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Richard J Roman
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, Mississippi;
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10
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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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11
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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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12
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Abstract
Recent advances in genetics of renal disease have deepened our understanding of progressive kidney disease. Here, we review genetic variants that are of particular importance to progressive glomerular disease that result in end-stage kidney disease (ESKD). Some of the most striking findings relate to APOL1 genetic variants, seen exclusively in individuals of sub-Saharan African descent, that create a predisposition to particular renal disorders, including focal segmental glomerulosclerosis and arterionephrosclerosis. We also review the genetics of cardiovascular disease in ESKD and note that little work has been published on the genetics of other ESKD complications, including anemia, bone disease, and infections. Deeper understanding of the genetics of ESKD and its complications may lead to new therapies that are tailored to an individual patient's genetic profile or are discovered based on genetic approaches that identify novel pathways of renal cell injury and repair.
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13
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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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Abstract
PURPOSE OF REVIEW The prevalence of obesity continues to rise, fueling a global public health crisis characterized by dramatic increases in type 2 diabetes, cardiovascular disease, and many cancers. In the USA, several minority populations, who bear much of the obesity burden (47% in African Americans and Hispanic/Latinos, compared to 38% in European descent groups), are particularly at risk of downstream chronic disease. Compounding these disparities, most genome-wide association studies (GWAS)-including those of obesity-have largely been conducted in populations of European or East Asian ancestry. In fact, analysis of the GWAS Catalog found that while the proportion of participants of non-European or non-Asian descent had risen from 4% in 2009 to 19% in 2016, African-ancestry participants are still just 3% of GWAS, Hispanic/Latinos are < 0.5%, and other ancestries are < 0.3% or not represented at all. This review summarizes recent developments in obesity genomics in US minority populations, with the goal of reducing obesity health disparities and improving public health programs and access to precision medicine. RECENT FINDINGS GWAS of populations with the highest burden of obesity are essential to narrow candidate variants for functional follow-up, to identify additional ancestry-specific variants that contribute to individual genetic susceptibility, and to advance both public health and precision medicine approaches to obesity. Given the global public health burden posed by obesity and downstream chronic conditions which disproportionately affect non-European populations, GWAS of obesity-related traits in diverse populations is essential to (1) locate causal variants in GWAS-identified regions through fine mapping, (2) identify variants which influence obesity across ancestries through generalization, and (3) discover novel ancestry-specific variants which may be low frequency in European populations but common in other groups. Recent efforts to expand obesity genomic studies to understudied and underserved populations, including AAAGC, PAGE, and HISLA, are working to reduce obesity health disparities, improve public health, and bring the promise of precision medicine to all.
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Affiliation(s)
- Kristin L Young
- Department of Epidemiology, University of North Carolina at Chapel Hill, 123 West Franklin Street, Suite 410, CB# 8050, Chapel Hill, NC, 27516, USA.
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, 123 West Franklin Street, Suite 410, CB# 8050, Chapel Hill, NC, 27516, USA
| | | | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, 123 West Franklin Street, Suite 410, CB# 8050, Chapel Hill, NC, 27516, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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15
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Li M, Pezzolesi MG. Advances in understanding the genetic basis of diabetic kidney disease. Acta Diabetol 2018; 55:1093-1104. [PMID: 30083980 DOI: 10.1007/s00592-018-1193-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 07/16/2018] [Indexed: 02/08/2023]
Abstract
Diabetic kidney disease (DKD) is a devastating complication of Type 1 and Type 2 diabetes and leads to increased morbidity and mortality. Earlier work in families has provided strong evidence that heredity is a major determinant of DKD. Previous linkage analyses and candidate gene studies have identified potential DKD genes; however, such approaches have largely been unsuccessful. Genome-wide association studies (GWAS) have made significant contribution in identifying SNPs associated with common complex diseases. Thanks to advanced technology, new analytical approaches, and international research collaborations, many DKD GWASs have reported unique genes, highlighted novel biological pathways and suggested new disease mechanisms. This review summarizes the current state of GWAS technology; findings from GWASs of DKD and its related traits conducted over the past 15 years and discuss the future of this field.
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Affiliation(s)
- Man Li
- Division of Nephrology and Hypertension, Department of Internal Medicine,, University of Utah School of Medicine, Salt Lake City, UT, 84105, USA
- VA Boston Healthcare System, VA Cooperative Studies Program, Boston, MA, USA
| | - Marcus G Pezzolesi
- Division of Nephrology and Hypertension, Department of Internal Medicine,, University of Utah School of Medicine, Salt Lake City, UT, 84105, USA.
- Diabetes and Metabolism Center, University of Utah School of Medicine, Salt Lake City, UT, USA.
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA.
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16
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Cui C, Cui Y, Fu Y, Ma S, Zhang S. Microarray analysis reveals gene and microRNA signatures in diabetic kidney disease. Mol Med Rep 2017; 17:2161-2168. [PMID: 29207157 PMCID: PMC5783455 DOI: 10.3892/mmr.2017.8177] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2017] [Accepted: 08/01/2017] [Indexed: 01/06/2023] Open
Abstract
The current study aimed to identify therapeutic gene and microRNA (miRNA) biomarkers for diabetic kidney disease (DKD). The public expression profile GSE30122 was used. Following data preprocessing, the limma package was used to select differentially-expressed genes (DEGs) in DKD glomeruli samples and tubuli samples and they were compared with corresponding controls. Then overlapping DEGs in glomeruli and tubuli were identified and enriched analysis was performed. In addition, protein‑protein interaction (PPI) network analysis as well as sub‑network analysis was conducted. miRNAs of the overlapping DEGs were investigated using WebGestal. A total of 139 upregulated and 28 downregulated overlapping DEGs were selected, which were primarily associated with pathways involved in extracellular matrix (ECM)‑receptor interactions and cytokine‑cytokine receptor interactions. CD44, fibronectin 1, C‑C motif chemokine ligand 5 and C‑X‑C motif chemokine receptor 4 were four primary nodes in the PPI network. miRNA (miR)‑17‑5p, miR‑20a and miR‑106a were important and nuclear receptor subfamily 4 group A member 3 (NR4A3), protein tyrosine phosphatase, receptor type O (PTPRO) and Kruppel like factor 9 (KLF9) were all predicted as target genes of the three miRNAs in the integrated miRNA‑target network. Several genes were identified in DKD, which may be involved in pathways such as ECM‑receptor interaction and cytokine‑cytokine receptor interaction. Three miRNAs may also be used as biomarkers for therapy of DKD, including miR‑17‑5p, miR‑20a and miR‑106a, with the predicted targets of NR4A3, PTPRO and KLF9.
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Affiliation(s)
- Chengji Cui
- Department of Nephrology, The First Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, Jilin 130000, P.R. China
| | - Yabin Cui
- Department of Nephrology, The First Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, Jilin 130000, P.R. China
| | - Yanyan Fu
- Department of Nephrology, The First Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, Jilin 130000, P.R. China
| | - Sichao Ma
- Department of Nephrology, The First Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, Jilin 130000, P.R. China
| | - Shoulin Zhang
- Department of Nephrology, The First Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, Jilin 130000, P.R. China
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17
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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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18
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Schnaper HW. The Tubulointerstitial Pathophysiology of Progressive Kidney Disease. Adv Chronic Kidney Dis 2017; 24:107-116. [PMID: 28284376 PMCID: PMC5351778 DOI: 10.1053/j.ackd.2016.11.011] [Citation(s) in RCA: 93] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2016] [Revised: 11/07/2016] [Accepted: 11/13/2016] [Indexed: 02/07/2023]
Abstract
Accumulating evidence suggests that the central locus for the progression of CKD is the renal proximal tubule. As injured tubular epithelial cells dedifferentiate in attempted repair, they stimulate inflammation and recruit myofibroblasts. At the same time, tissue loss stimulates remnant nephron hypertrophy. Increased tubular transport workload eventually exceeds the energy-generating capacity of the hypertrophied nephrons, leading to anerobic metabolism, acidosis, hypoxia, endoplasmic reticulum stress, and the induction of additional inflammatory and fibrogenic responses. The result is a vicious cycle of injury, misdirected repair, maladaptive responses, and more nephron loss. Therapy that might be advantageous at one phase of this progression pathway could be deleterious during other phases. Thus, interrupting this downward spiral requires narrowly targeted approaches that promote healing and adequate function without generating further entry into the progression cycle.
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Affiliation(s)
- H William Schnaper
- Division of Kidney Diseases, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL.
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19
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Buzzetti R, Prudente S, Copetti M, Dauriz M, Zampetti S, Garofolo M, Penno G, Trischitta V. Clinical worthlessness of genetic prediction of common forms of diabetes mellitus and related chronic complications: A position statement of the Italian Society of Diabetology. Nutr Metab Cardiovasc Dis 2017; 27:99-114. [PMID: 28063875 DOI: 10.1016/j.numecd.2016.08.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 08/01/2016] [Accepted: 08/13/2016] [Indexed: 02/08/2023]
Abstract
AIM We are currently facing several attempts aimed at marketing genetic data for predicting multifactorial diseases, among which diabetes mellitus is one of the more prevalent. The present document primarily aims at providing to practicing physicians a summary of available data regarding the role of genetic information in predicting diabetes and its chronic complications. DATA SYNTHESIS Firstly, general information about characteristics and performance of risk prediction tools will be presented in order to help clinicians to get acquainted with basic methodological information related to the subject at issue. Then, as far as type 1 diabetes is concerned, available data indicate that genetic information and counseling may be useful only in families with many affected individuals. However, since no disease prevention is possible, the utility of predicting this form of diabetes is at question. In the case of type 2 diabetes, available data really question the utility of adding genetic information on top of well performing, easy available and inexpensive non-genetic markers. Finally, the possibility of using the few available genetic data on diabetic complications for improving our ability to predict them will also be presented and discussed. For cardiovascular complication, the addition of genetic information to models based on clinical features does not translate in a substantial improvement in risk discrimination. For all other diabetic complications genetic information are currently very poor and cannot, therefore, be used for improving risk stratification. CONCLUSIONS In all, nowadays the use of genetic testing for predicting diabetes and its chronic complications is definitively of little value in clinical practice.
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Affiliation(s)
- R Buzzetti
- Department of Experimental Medicine, "Sapienza" University of Rome, Rome, Italy; UOC Diabetology, Polo Pontino, "Sapienza" University of Rome, Rome, Italy
| | - S Prudente
- Mendel Laboratory, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - M Copetti
- Unit of Biostatistics, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - M Dauriz
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Verona School of Medicine and Hospital Trust of Verona, Verona, Italy
| | - S Zampetti
- Department of Experimental Medicine, "Sapienza" University of Rome, Rome, Italy; UOC Diabetology, Polo Pontino, "Sapienza" University of Rome, Rome, Italy
| | - M Garofolo
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - G Penno
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - V Trischitta
- Department of Experimental Medicine, "Sapienza" University of Rome, Rome, Italy; Mendel Laboratory, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy; Research Unit of Diabetes and Endocrine Diseases, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
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20
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Santos KG. The (CTG) n repeat polymorphism in CNDP1 gene: New insights into an old molecule. Indian J Med Res 2016; 144:6-8. [PMID: 27834319 PMCID: PMC5116900 DOI: 10.4103/0971-5916.193276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Affiliation(s)
- Kátia G Santos
- Laboratory of Human Molecular Genetics, Lutheran University of Brazil (ULBRA) Canoas, RS, Brazil
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21
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Genetic Modifiers of White Blood Cell Count, Albuminuria and Glomerular Filtration Rate in Children with Sickle Cell Anemia. PLoS One 2016; 11:e0164364. [PMID: 27711207 PMCID: PMC5053442 DOI: 10.1371/journal.pone.0164364] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Accepted: 09/24/2016] [Indexed: 11/19/2022] Open
Abstract
Discovery and validation of genetic variants that influence disease severity in children with sickle cell anemia (SCA) could lead to early identification of high-risk patients, better screening strategies, and intervention with targeted and preventive therapy. We hypothesized that newly identified genetic risk factors for the general African American population could also impact laboratory biomarkers known to contribute to the clinical disease expression of SCA, including variants influencing the white blood cell count and the development of albuminuria and abnormal glomerular filtration rate. We first investigated candidate genetic polymorphisms in well-characterized SCA pediatric cohorts from three prospective NHLBI-supported clinical trials: HUSTLE, SWiTCH, and TWiTCH. We also performed whole exome sequencing to identify novel genetic variants, using both a discovery and a validation cohort. Among candidate genes, DARC rs2814778 polymorphism regulating Duffy antigen expression had a clear influence with significantly increased WBC and neutrophil counts, but did not affect the maximum tolerated dose of hydroxyurea therapy. The APOL1 G1 polymorphism, an identified risk factor for non-diabetic renal disease, was associated with albuminuria. Whole exome sequencing discovered several novel variants that maintained significance in the validation cohorts, including ZFHX4 polymorphisms affecting both the leukocyte and neutrophil counts, as well as AGGF1, CYP4B1, CUBN, TOR2A, PKD1L2, and CD163 variants affecting the glomerular filtration rate. The identification of robust, reliable, and reproducible genetic markers for disease severity in SCA remains elusive, but new genetic variants provide avenues for further validation and investigation.
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22
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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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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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Dummer PD, Limou S, Rosenberg AZ, Heymann J, Nelson G, Winkler CA, Kopp JB. APOL1 Kidney Disease Risk Variants: An Evolving Landscape. Semin Nephrol 2016. [PMID: 26215860 DOI: 10.1016/j.semnephrol.2015.04.008] [Citation(s) in RCA: 112] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Apolipoprotein L1 (APOL1) genetic variants account for much of the excess risk of chronic and end-stage kidney disease, which results in a significant global health disparity for persons of African ancestry. We estimate the lifetime risk of kidney disease in APOL1 dual-risk allele individuals to be at least 15%. Experimental evidence suggests a direct role of APOL1 in pore formation, cellular injury, and programmed cell death in renal injury. The APOL1 BH3 motif, often associated with cell death, is unlikely to play a role in APOL1-induced cytotoxicity because it is not conserved within the APOL family and is dispensable for cell death in vitro. We discuss two models for APOL1 trypanolytic activity: one involving lysosome permeabilization and another involving colloid-osmotic swelling of the cell body, as well as their relevance to human pathophysiology. Experimental evidence from human cell culture models suggests that both mechanisms may be operative. A systems biology approach whereby APOL1-associated perturbations in gene and protein expression in affected individuals are correlated with molecular pathways may be productive to elucidate APOL1 function in vivo.
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Affiliation(s)
- Patrick D Dummer
- Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Sophie Limou
- Molecular Epidemiology Genetics Section, Center for Cancer Research, National Cancer Institute, Frederick MD
| | - Avi Z Rosenberg
- Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD; Department of Pathology Johns Hopkins University, Baltimore, MD
| | - Jurgen Heymann
- Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - George Nelson
- Molecular Epidemiology Genetics Section, Center for Cancer Research, National Cancer Institute, Frederick MD
| | - Cheryl A Winkler
- Molecular Epidemiology Genetics Section, Center for Cancer Research, National Cancer Institute, Frederick MD
| | - Jeffrey B Kopp
- Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD.
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26
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Kwak SH, Park KS. Recent progress in genetic and epigenetic research on type 2 diabetes. Exp Mol Med 2016; 48:e220. [PMID: 26964836 PMCID: PMC4892885 DOI: 10.1038/emm.2016.7] [Citation(s) in RCA: 122] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Revised: 12/09/2015] [Accepted: 12/11/2015] [Indexed: 12/12/2022] Open
Abstract
Type 2 diabetes (T2DM) is a common complex metabolic disorder that has a strong genetic predisposition. During the past decade, progress in genetic association studies has enabled the identification of at least 75 independent genetic loci for T2DM, thus allowing a better understanding of the genetic architecture of T2DM. International collaborations and large-scale meta-analyses of genome-wide association studies have made these achievements possible. However, whether the identified common variants are causal is largely unknown. In addition, the detailed mechanism of how these genetic variants exert their effect on the pathogenesis of T2DM requires further investigation. Currently, there are ongoing large-scale sequencing studies to identify rare, functional variants for T2DM. Environmental factors also have a crucial role in the development of T2DM. These could modulate gene expression via epigenetic mechanisms, including DNA methylation, histone modification and microRNA regulation. There is evidence that epigenetic changes are important in the development of T2DM. Recent studies have identified several DNA methylation markers of T2DM from peripheral blood and pancreatic islets. In this review, we will briefly summarize the recent progress in the genetic and epigenetic research on T2DM and discuss how environmental factors, genetics and epigenetics can interact in the pathogenesis of T2DM.
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Affiliation(s)
- Soo Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.,Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea
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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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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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29
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Buffon MP, Carpena MP, Sortica DA, Santer A, Carlessi R, de Souza BM, Edelweiss MI, Berger M, Crispim D, Canani LH. rs1888747 polymorphism in the FRMD3 gene, gene and protein expression: role in diabetic kidney disease. Diabetol Metab Syndr 2016; 8:3. [PMID: 26753002 PMCID: PMC4706705 DOI: 10.1186/s13098-015-0121-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Accepted: 12/23/2015] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND We carried out a case-control study in patients with type 2 diabetes mellitus (T2DM) to evaluate the association between seven single nucleotide polymorphisms (SNPs) previously described to be linked to diabetic kidney disease (DKD) in type 1 diabetes mellitus (T1DM). Additionally, we evaluated gene and protein expression related to the polymorphism associated with DKD. METHODS The association study included 1098 T2DM patients (718 with DKD and 380 without DKD). Out of the 13 polymorphisms associated with DKD in a previous study with T1DM, seven were chosen for evaluation in this sample: rs1888747, rs9521445, rs39075, rs451041, rs1041466, rs1411766 and rs6492208. The expression study included 91 patients who underwent nephrectomy. Gene expression was assessed by RT-qPCR and protein expression in kidney samples was quantified by western blot and it localization by immunohistochemistry. RESULTS The C/C genotype of rs1888747 SNP was associated with protection for DKD (OR = 0.6, 95 % CI 0.3-0.9; P = 0.022). None of the other SNPs were associated with DKD. rs1888747 is located near FRMD3 gene. Therefore, FRMD3 gene and protein expression were evaluated in human kidney tissue according to rs1888747 genotypes. Gene and protein expression were similar in subjects homozygous for the C allele and in those carrying the G allele. CONCLUSIONS Replication of the association between rs1888747 SNP and DKD in a different population suggests that this link is not the result of chance. rs1888747 SNP is located at the FRMD3 gene, which is expressed in human kidney. Therefore, this gene is a candidate gene for DKD. However, in this study, no rs1888747 genotype or specific allele effect on gene and/or protein expression of the FRMD3 gene was demonstrated.
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Affiliation(s)
- Marjoriê P. Buffon
- />Endocrine Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos 2350, prédio 12, 4° andar, Porto Alegre, RS 90035-003 Brazil
- />Post-Graduation Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Mariana P. Carpena
- />Post-Graduation Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Denise A. Sortica
- />Endocrine Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos 2350, prédio 12, 4° andar, Porto Alegre, RS 90035-003 Brazil
- />Post-Graduation Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Andressa Santer
- />Endocrine Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos 2350, prédio 12, 4° andar, Porto Alegre, RS 90035-003 Brazil
| | - Rodrigo Carlessi
- />Endocrine Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos 2350, prédio 12, 4° andar, Porto Alegre, RS 90035-003 Brazil
- />Post-Graduation Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Bianca M. de Souza
- />Endocrine Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos 2350, prédio 12, 4° andar, Porto Alegre, RS 90035-003 Brazil
- />Post-Graduation Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Maria I. Edelweiss
- />Pathology Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS Brazil
- />Post-Graduation Program in Medical Sciences: Ginecology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Milton Berger
- />Urology Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS Brazil
| | - Daisy Crispim
- />Endocrine Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos 2350, prédio 12, 4° andar, Porto Alegre, RS 90035-003 Brazil
- />Post-Graduation Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Luís H. Canani
- />Endocrine Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos 2350, prédio 12, 4° andar, Porto Alegre, RS 90035-003 Brazil
- />Post-Graduation Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS Brazil
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Gautier JF, Porcher R, Abi Khalil C, Bellili-Munoz N, Fetita LS, Travert F, Choukem SP, Riveline JP, Hadjadj S, Larger E, Boudou P, Blondeau B, Roussel R, Ferré P, Ravussin E, Rouzet F, Marre M. Kidney Dysfunction in Adult Offspring Exposed In Utero to Type 1 Diabetes Is Associated with Alterations in Genome-Wide DNA Methylation. PLoS One 2015; 10:e0134654. [PMID: 26258530 PMCID: PMC4530883 DOI: 10.1371/journal.pone.0134654] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2014] [Accepted: 07/13/2015] [Indexed: 12/20/2022] Open
Abstract
Background Fetal exposure to hyperglycemia impacts negatively kidney development and function. Objective Our objective was to determine whether fetal exposure to moderate hyperglycemia is associated with epigenetic alterations in DNA methylation in peripheral blood cells and whether those alterations are related to impaired kidney function in adult offspring. Design Twenty nine adult, non-diabetic offspring of mothers with type 1 diabetes (T1D) (case group) were matched with 28 offspring of T1D fathers (control group) for the study of their leukocyte genome-wide DNA methylation profile (27,578 CpG sites, Human Methylation 27 BeadChip, Illumina Infinium). In a subset of 19 cases and 18 controls, we assessed renal vascular development by measuring Glomerular Filtration Rate (GFR) and Effective Renal Plasma Flow (ERPF) at baseline and during vasodilatation produced by amino acid infusion. Results Globally, DNA was under-methylated in cases vs. controls. Among the 87 CpG sites differently methylated, 74 sites were less methylated and 13 sites more methylated in cases vs. controls. None of these CpG sites were located on a gene known to be directly involved in kidney development and/or function. However, the gene encoding DNA methyltransferase 1 (DNMT1)—a key enzyme involved in gene expression during early development–was under-methylated in cases. The average methylation of the 74 under-methylated sites differently correlated with GFR in cases and controls. Conclusion Alterations in methylation profile imprinted by the hyperglycemic milieu of T1D mothers during fetal development may impact kidney function in adult offspring. The involved pathways seem to be a nonspecific imprinting process rather than specific to kidney development or function.
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Affiliation(s)
- Jean-François Gautier
- Department of Diabetes and Endocrinology, Assistance Publique—Hôpitaux de Paris, DHU FIRE, Lariboisière Hospital, University Paris-Diderot Paris-7, Paris, France
- Clinical Investigation Center, INSERM-CIC9504, Saint-Louis University Hospital, Assistance Publique—Hôpitaux de Paris, University Paris-Diderot Paris-7, Paris, France
- INSERM UMRS 1138, Cordeliers Research Center, University Pierre et Marie Curie Paris-6, Paris, France
- * E-mail:
| | - Raphaël Porcher
- Department of Biostatistics and Medical Computing, Saint-Louis University Hospital, Assistance Publique—Hôpitaux de Paris, University Paris-Diderot Paris-7, Paris, France
| | - Charbel Abi Khalil
- Department of Diabetes, Groupe Hospitalier Bichat—Claude Bernard, Assistance Publique—Hôpitaux de Paris, DHU FIRE, University Paris-Diderot Paris-7, Paris, France
| | - Naima Bellili-Munoz
- INSERM UMRS 1138, Cordeliers Research Center, University Pierre et Marie Curie Paris-6, Paris, France
| | - Lila Sabrina Fetita
- Department of Diabetes and Endocrinology, Assistance Publique—Hôpitaux de Paris, DHU FIRE, Lariboisière Hospital, University Paris-Diderot Paris-7, Paris, France
| | - Florence Travert
- Department of Diabetes, Groupe Hospitalier Bichat—Claude Bernard, Assistance Publique—Hôpitaux de Paris, DHU FIRE, University Paris-Diderot Paris-7, Paris, France
- Clinical Investigation Center, Groupe Hospitalier Bichat—Claude Bernard, Assistance Publique–Hôpitaux de Paris, University Paris-Diderot Paris-7, Paris, France
| | - Simeon-Pierre Choukem
- Department of Diabetes and Endocrinology, Assistance Publique—Hôpitaux de Paris, DHU FIRE, Lariboisière Hospital, University Paris-Diderot Paris-7, Paris, France
| | - Jean-Pierre Riveline
- INSERM UMRS 1138, Cordeliers Research Center, University Pierre et Marie Curie Paris-6, Paris, France
- Department of Diabetes and Endocrinology, Centre Hospitalier Sud Francilien, Corbeil-Essonnes, France
| | - Samy Hadjadj
- Department of Endocrinology and Diabetes, Centre Hospitalier Universitaire, Poitiers, France
| | - Etienne Larger
- Department of Diabetes, Hôtel-Dieu Hospital, Assistance Publique–Hôpitaux de Paris, Paris, France
| | - Philippe Boudou
- Unit of Transfer in Molecular Oncology and Hormonology, Saint-Louis University Hospital, Assistance Publique—Hôpitaux de Paris, Paris, France
| | - Bertrand Blondeau
- INSERM UMRS 1138, Cordeliers Research Center, University Pierre et Marie Curie Paris-6, Paris, France
| | - Ronan Roussel
- Department of Diabetes, Groupe Hospitalier Bichat—Claude Bernard, Assistance Publique—Hôpitaux de Paris, DHU FIRE, University Paris-Diderot Paris-7, Paris, France
- INSERM U695, University Paris-Diderot Paris-7, Paris, France
| | - Pascal Ferré
- INSERM UMRS 1138, Cordeliers Research Center, University Pierre et Marie Curie Paris-6, Paris, France
| | - Eric Ravussin
- Penington Biomedical Research Center, Baton Rouge, LA, United States of America
| | - François Rouzet
- Department of Nuclear Medicine, Groupe Hospitalier Bichat—Claude Bernard, Assistance Publique—Hôpitaux de Paris, University Paris-Diderot Paris-7, Paris, France
| | - Michel Marre
- Department of Diabetes, Groupe Hospitalier Bichat—Claude Bernard, Assistance Publique—Hôpitaux de Paris, DHU FIRE, University Paris-Diderot Paris-7, Paris, France
- Clinical Investigation Center, Groupe Hospitalier Bichat—Claude Bernard, Assistance Publique–Hôpitaux de Paris, University Paris-Diderot Paris-7, Paris, France
- INSERM U695, University Paris-Diderot Paris-7, Paris, France
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Regele F, Jelencsics K, Shiffman D, Paré G, McQueen MJ, Mann JF, Oberbauer R. Genome-wide studies to identify risk factors for kidney disease with a focus on patients with diabetes. Nephrol Dial Transplant 2015. [DOI: 10.1093/ndt/gfv087] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
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Saraf SL, Zhang X, Shah B, Kanias T, Gudehithlu KP, Kittles R, Machado RF, Arruda JAL, Gladwin MT, Singh AK, Gordeuk VR. Genetic variants and cell-free hemoglobin processing in sickle cell nephropathy. Haematologica 2015. [PMID: 26206798 DOI: 10.3324/haematol.2015.124875] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Intravascular hemolysis and hemoglobinuria are associated with sickle cell nephropathy. ApoL1 is involved in cell-free hemoglobin scavenging through association with haptoglobin-related protein. APOL1 G1/G2 variants are the strongest genetic predictors of kidney disease in the general African-American population. A single report associated APOL1 G1/G2 with sickle cell nephropathy. In 221 patients with sickle cell disease at the University of Illinois at Chicago, we replicated the finding of an association of APOL1 G1/G2 with proteinuria, specifically with urine albumin concentration (β=1.1, P=0.003), observed an even stronger association with hemoglobinuria (OR=2.5, P=4.3×10(-6)), and also replicated the finding of an association with hemoglobinuria in 487 patients from the Walk-Treatment of Pulmonary Hypertension and Sickle cell Disease with Sildenafil Therapy study (OR=2.6, P=0.003). In 25 University of Illinois sickle cell disease patients, concentrations of urine kidney injury molecule-1 correlated with urine cell-free hemoglobin concentrations (r=0.59, P=0.002). Exposing human proximal tubular cells to increasing cell-free hemoglobin led to increasing concentrations of supernatant kidney injury molecule-1 (P=0.01), reduced viability (P=0.01) and induction of HMOX1 and SOD2. HMOX1 rs743811 associated with chronic kidney disease stage (OR=3.0, P=0.0001) in the University of Illinois cohort and end-stage renal disease (OR=10.0, P=0.0003) in the Walk-Treatment of Pulmonary Hypertension and Sickle cell Disease with Sildenafil Therapy cohort. Longer HMOX1 GT-tandem repeats (>25) were associated with lower estimated glomerular filtration rate in the University of Illinois cohort (P=0.01). Our findings point to an association of APOL1 G1/G2 with kidney disease in sickle cell disease, possibly through increased risk of hemoglobinuria, and associations of HMOX1 variants with kidney disease, possibly through reduced protection of the kidney from hemoglobin-mediated toxicity.
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Affiliation(s)
- Santosh L Saraf
- Division of Hematology & Oncology, Department of Medicine, Comprehensive Sickle Cell Center, University of Illinois at Chicago, IL
| | - Xu Zhang
- Division of Hematology & Oncology, Department of Medicine, Comprehensive Sickle Cell Center, University of Illinois at Chicago, IL
| | - Binal Shah
- Division of Hematology & Oncology, Department of Medicine, Comprehensive Sickle Cell Center, University of Illinois at Chicago, IL
| | - Tamir Kanias
- Division of Pulmonary, Allergy, and Critical Care Medicine, Vascular Medicine Institute, University of Pittsburgh, PA
| | - Krishnamurthy P Gudehithlu
- Division of Nephrology, Department of Medicine, John H. Stroger, Jr Hospital of Cook County, Chicago, IL
| | - Rick Kittles
- Department of Surgery, University of Arizona, Tucson, AZ
| | - Roberto F Machado
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Illinois at Chicago, IL
| | - Jose A L Arruda
- Division of Nephrology, Department of Medicine, University of Illinois at Chicago, IL, USA
| | - Mark T Gladwin
- Division of Pulmonary, Allergy, and Critical Care Medicine, Vascular Medicine Institute, University of Pittsburgh, PA
| | - Ashok K Singh
- Division of Nephrology, Department of Medicine, John H. Stroger, Jr Hospital of Cook County, Chicago, IL
| | - Victor R Gordeuk
- Division of Hematology & Oncology, Department of Medicine, Comprehensive Sickle Cell Center, University of Illinois at Chicago, IL
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Wei F, Cai C, Feng S, Lv J, Li S, Chang B, Zhang H, Shi W, Han H, Ling C, Yu P, Chen Y, Sun N, Tian J, Jiao H, Yang F, Li M, Wang Y, Zou L, Su L, Li J, Li R, Qiu H, Shi J, Liu S, Chang M, Lin J, Chen L, Li WD. TOX and CDKN2A/B Gene Polymorphisms Are Associated with Type 2 Diabetes in Han Chinese. Sci Rep 2015; 5:11900. [PMID: 26139146 PMCID: PMC4650661 DOI: 10.1038/srep11900] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2014] [Accepted: 06/08/2015] [Indexed: 12/27/2022] Open
Abstract
To study associations between type 2 diabetes (T2DM) candidate genes and microvascular complications of diabetes (MVCDs), we performed case-control association studies for both T2DM and MVCDs in Han Chinese subjects. We recruited 1,939 unrelated Han Chinese T2DM patients and 918 individuals with normal blood glucose levels as nondiabetic controls. Among T2DM patients, 1116 have MVCDs, 266 have a history of T2DM of >10 years but never developed MVCDs. Eighty-two single-nucleotide polymorphisms (SNPs) in 54 candidate genes were genotyped. Discrete association studies were performed by the PLINK program for T2DM and MVCDs. Significant associations were found among candidate gene SNPs and T2DM, including rs1526167 of the TOX gene (allele A, P = 2.85 × 10−9, OR = 1.44). The SNP rs10811661 of the CDKN2A/B gene was also associated with T2DM (allele T, P = 4.09 × 10−7, OR = 1.36). When we used control patients with >10 years of T2DM history without MVCD, we found that the G allele of SNP rs1526167 of the TOX gene was associated with MVCD (nominal P = 4.33 × 10−4). In our study, significant associations were found between TOX and CDKN2A/B gene SNPs and T2DM. The TOX polymorphism might account for the higher risk of T2DM and the lower risk of MVCDs in the Han Chinese population.
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Affiliation(s)
- Fengjiang Wei
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Chunyou Cai
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Shuzhi Feng
- Tianjin General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Jia Lv
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Shen Li
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Baocheng Chang
- Metabolic Diseases Hospital, Tianjin Medical University, Tianjin, 300070, China
| | - Hong Zhang
- Eye Hospital, Tianjin Medical University, Tianjin, 300384, China
| | - Wentao Shi
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Hongling Han
- Tianjin General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Chao Ling
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Ping Yu
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Yongjun Chen
- Eye Hospital, Tianjin Medical University, Tianjin, 300384, China
| | - Ning Sun
- Tianjin General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Jianli Tian
- Tianjin General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Hongxiao Jiao
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Fuhua Yang
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Mingshan Li
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Yuhua Wang
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Lei Zou
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Long Su
- Eye Hospital, Tianjin Medical University, Tianjin, 300384, China
| | - Jingbo Li
- Tianjin People's Hospital, Department of Endocrinology, Tianjin, 300191, China
| | - Ran Li
- Tianjin General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Huina Qiu
- Tianjin People's Hospital, Department of Endocrinology, Tianjin, 300191, China
| | - Jingmin Shi
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Shiying Liu
- Tianjin General Hospital, Tianjin Medical University, Tianjin, 300052, China
| | - Mingqin Chang
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Jingna Lin
- Tianjin People's Hospital, Department of Endocrinology, Tianjin, 300191, China
| | - Liming Chen
- Metabolic Diseases Hospital, Tianjin Medical University, Tianjin, 300070, China
| | - Wei-Dong Li
- Research Center of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
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Abstract
The global prevalence of diabetic nephropathy is rising in parallel with the increasing incidence of diabetes in most countries. Unfortunately, up to 40 % of persons diagnosed with diabetes may develop kidney complications. Diabetic nephropathy is associated with substantially increased risks of cardiovascular disease and premature mortality. An inherited susceptibility to diabetic nephropathy exists, and progress is being made unravelling the genetic basis for nephropathy thanks to international research collaborations, shared biological resources and new analytical approaches. Multiple epidemiological studies have highlighted the clinical heterogeneity of nephropathy and the need for better phenotyping to help define important subgroups for analysis and increase the power of genetic studies. Collaborative genome-wide association studies for nephropathy have reported unique genes, highlighted novel biological pathways and suggested new disease mechanisms, but progress towards clinically relevant risk prediction models for diabetic nephropathy has been slow. This review summarises the current status, recent developments and ongoing challenges elucidating the genetics of diabetic nephropathy.
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Affiliation(s)
- Amy Jayne McKnight
- Nephrology Research Group, Centre for Public Health, Queen's University Belfast, c/o Regional Genetics Centre, Level A, Tower Block, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK,
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Liu R, Lee K, He JC. Genetics and Epigenetics of Diabetic Nephropathy. KIDNEY DISEASES (BASEL, SWITZERLAND) 2015; 1:42-51. [PMID: 27536664 PMCID: PMC4934801 DOI: 10.1159/000381796] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2015] [Revised: 03/20/2015] [Indexed: 12/21/2022]
Abstract
BACKGROUND Diabetic nephropathy (DN) is the most common cause of end-stage renal disease (ESRD) in the USA and worldwide, contributing to significant morbidity and mortality in diabetic patients. A genetic factor for the development of DN is strongly implicated, as only one third of diabetic patients eventually develop kidney disease. Growing evidence also supports an important role of epigenetic modifications in DN. SUMMARY Multiple studies have been performed to identify risk genes and loci associated with DN. So far, only several genes and loci have been identified, none of which showed a strong association with DN. Therefore, a better study design with a larger sample size to identify rare variants and a clinically defined patient population to identify genes and loci associated with progressive DN are still needed. In addition to genetic factors, epigenetic modifications, such as DNA methylation, histone modifications and microRNAs, also play a major role in the pathogenesis of DN through a second layer of gene regulation. Although a major progress has been made in this field, epigenetic studies in DN are still in the early phase and have been limited mostly due to the heterogeneity of kidney tissue samples with multiple cells. However, rapid development of high-throughput genome-wide techniques will help us to better identify genetic variants and epigenetic changes in DN. KEY MESSAGE Understanding of genetic and epigenetic changes in DN is needed for the development of new biomarkers and better drug targets against DN. Summarized in this review are important recent findings on genetic and epigenetic studies in the field of DN.
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Affiliation(s)
- Ruijie Liu
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, N.Y., USA
- Renal Section, James J. Peters VAMC, New York, N.Y., USA
| | - Kyung Lee
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, N.Y., USA
| | - John Cijiang He
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, N.Y., USA
- Renal Section, James J. Peters VAMC, New York, N.Y., USA
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Abstract
The rising global prevalence of diabetes mellitus is accompanied by an increasing burden of morbidity and mortality that is attributable to the complications of chronic hyperglycaemia. These complications include blindness, renal failure and cardiovascular disease. Current therapeutic options for chronic hyperglycaemia reduce, but do not eradicate, the risk of these complications. Success in defining new preventative and therapeutic strategies hinges on an improved understanding of the molecular processes involved in the development of these complications. This Review explores the role of human genetics in delivering such insights, and describes progress in characterizing the sequence variants that influence individual predisposition to diabetic kidney disease, retinopathy, neuropathy and accelerated cardiovascular disease. Numerous risk variants for microvascular complications of diabetes have been reported, but very few have shown robust replication. Furthermore, only limited evidence exists of a difference in the repertoire of risk variants influencing macrovascular disease between those with and those without diabetes. Here, we outline the challenges associated with the genetic analysis of diabetic complications and highlight ongoing efforts to deliver biological insights that can drive translational benefits.
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Buffon MP, Sortica DA, Gerchman F, Crispim D, Canani LH. FRMD3 gene: its role in diabetic kidney disease. A narrative review. Diabetol Metab Syndr 2015; 7:118. [PMID: 26719775 PMCID: PMC4696171 DOI: 10.1186/s13098-015-0114-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2015] [Accepted: 12/19/2015] [Indexed: 01/15/2023] Open
Abstract
Diabetic kidney disease (DKD) is a chronic complication of diabetes mellitus, which is considered a worldwide epidemic. Several studies have been developed in order to elucidate possible genetic factors involved in this disease. The FRMD3 gene, a strong candidate selected from genome wide association studies (GWAS), encodes the structural protein 4.1O involved in maintaining cell shape and integrity. Some single nucleotide polymorphisms (SNPs) located in FRMD3 have been associated with DKD in different ethnicities. However, despite these findings, the matter is still controversial. The aim of this narrative review is to summarize the evidence regarding the role of FRMD3 in DKD.
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Affiliation(s)
- Marjoriê Piuco Buffon
- />Endocrine Division, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Rua Ramiro Barcelos 2350, prédio 12, 4° andar, Porto Alegre, RS 90035-003 Brazil
- />Endocrinology, Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
- />Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Denise Alves Sortica
- />Endocrine Division, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Rua Ramiro Barcelos 2350, prédio 12, 4° andar, Porto Alegre, RS 90035-003 Brazil
- />Endocrinology, Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
- />Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Fernando Gerchman
- />Endocrine Division, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Rua Ramiro Barcelos 2350, prédio 12, 4° andar, Porto Alegre, RS 90035-003 Brazil
- />Endocrinology, Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
- />Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Daisy Crispim
- />Endocrine Division, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Rua Ramiro Barcelos 2350, prédio 12, 4° andar, Porto Alegre, RS 90035-003 Brazil
- />Endocrinology, Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
| | - Luís Henrique Canani
- />Endocrine Division, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Rua Ramiro Barcelos 2350, prédio 12, 4° andar, Porto Alegre, RS 90035-003 Brazil
- />Endocrinology, Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
- />Federal University of Rio Grande do Sul, Porto Alegre, RS Brazil
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Smyth LJ, Duffy S, Maxwell AP, McKnight AJ. Genetic and epigenetic factors influencing chronic kidney disease. Am J Physiol Renal Physiol 2014; 307:F757-76. [PMID: 25080522 DOI: 10.1152/ajprenal.00306.2014] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Chronic kidney disease (CKD) has become a serious public health problem because of its associated morbidity, premature mortality, and attendant healthcare costs. The rising number of persons with CKD is linked with the aging population structure and an increased prevalence of diabetes, hypertension, and obesity. There is an inherited risk associated with developing CKD, as evidenced by familial clustering and differing prevalence rates across ethnic groups. Previous studies to determine the inherited risk factors for CKD rarely identified genetic variants that were robustly replicated. However, improvements in genotyping technologies and analytic methods are now helping to identify promising genetic loci aided by international collaboration and multiconsortia efforts. More recently, epigenetic modifications have been proposed to play a role in both the inherited susceptibility to CKD and, importantly, to explain how the environment dynamically interacts with the genome to alter an individual's disease risk. Genome-wide, epigenome-wide, and whole transcriptome studies have been performed, and optimal approaches for integrative analysis are being developed. This review summarizes recent research and the current status of genetic and epigenetic risk factors influencing CKD using population-based information.
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Affiliation(s)
- L J Smyth
- Nephrology Research, Centre for Public Health, Queen's University of Belfast, Belfast, Northern Ireland
| | - S Duffy
- Nephrology Research, Centre for Public Health, Queen's University of Belfast, Belfast, Northern Ireland
| | - A P Maxwell
- Nephrology Research, Centre for Public Health, Queen's University of Belfast, Belfast, Northern Ireland
| | - A J McKnight
- Nephrology Research, Centre for Public Health, Queen's University of Belfast, Belfast, Northern Ireland
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