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Zusi C, Trombetta M, Bonetti S, Dauriz M, Boselli ML, Trabetti E, Malerba G, Penno G, Zoppini G, Bonora E, Solini A, Bonadonna RC. A renal genetic risk score (GRS) is associated with kidney dysfunction in people with type 2 diabetes. Diabetes Res Clin Pract 2018; 144:137-143. [PMID: 30153470 DOI: 10.1016/j.diabres.2018.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 07/12/2018] [Accepted: 08/22/2018] [Indexed: 11/29/2022]
Abstract
This study aims to investigate whether renal and cardiovascular phenotypes in Italian patients with type 2 diabetes (T2D) could be influenced by a number of disease risk SNPs recently found in genome-wide association studies (GWAS). In 1591 Italian subjects with T2D: (1) 47 SNPs associated to kidney function and/or chronic kidney disease (CKD) and 49 SNPs associated to cardiovascular disease (CVD) risk were genotyped; (2) urinary albumin/creatinine (A/C) ratio, glomerular filtration rate (eGFR) and lipid profile were assessed; (3) a standard electrocardiogram was performed; (4) two genotype risk scores (GRS) were computed (a renal GRS calculated selecting 39 SNPs associated with intermediate traits of kidney damage and a cardiovascular GRS determined selecting 42 SNPs associated to CVD risk phenotypes). After correction for multiple comparisons, the renal GRS was not associated to A/C ratio (p = 0.33), but it was significantly related to decreased eGFR (p = 0.005). No association between the cardiovascular GRS and electrocardiogram was detected. Thus, in Italian patients with T2D a renal GRS might predict the decline in glomerular function, suggesting that the clock of diabetes associated CKD starts ticking long before hyperglycemia. Our data support the feasibility of gene-based prediction of complications in people with T2D.
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Affiliation(s)
- Chiara Zusi
- Department of Medicine, Section of Endocrinology, Diabetes and Metabolism, University of Verona, Verona, Italy
| | - Maddalena Trombetta
- Department of Medicine, Section of Endocrinology, Diabetes and Metabolism, University of Verona, Verona, Italy; Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Hospital Trust of Verona, Verona, Italy.
| | - Sara Bonetti
- Department of Medicine, Section of Endocrinology, Diabetes and Metabolism, University of Verona, Verona, Italy
| | - Marco Dauriz
- Department of Medicine, Section of Endocrinology, Diabetes and Metabolism, University of Verona, Verona, Italy
| | - Maria L Boselli
- Department of Medicine, Section of Endocrinology, Diabetes and Metabolism, University of Verona, Verona, Italy
| | - Elisabetta Trabetti
- Department of Neuroscience, Biomedicine and Movement Sciences, Section of Biology and Genetics, University of Verona, Verona, Italy
| | - Giovanni Malerba
- Department of Neuroscience, Biomedicine and Movement Sciences, Section of Biology and Genetics, University of Verona, Verona, Italy
| | - Giuseppe Penno
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Giacomo Zoppini
- Department of Medicine, Section of Endocrinology, Diabetes and Metabolism, University of Verona, Verona, Italy
| | - Enzo Bonora
- Department of Medicine, Section of Endocrinology, Diabetes and Metabolism, University of Verona, Verona, Italy; Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Hospital Trust of Verona, Verona, Italy
| | - Anna Solini
- Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Pisa, Italy
| | - Riccardo C Bonadonna
- Department of Medicine and Surgery, University of Parma, Parma, Italy; Division of Endocrinology and Metabolic Diseases, Azienda Ospedaliera Universitaria di Parma, Parma, Italy
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