Maria Loredana Marcovecchio1, Marco Colombo2, Raymond Neil Dalton3, Paul M McKeigue2, Paul Benitez-Aguirre4, Fergus J Cameron5, Scott T Chiesa6, Jennifer J Couper7, Maria E Craig4, Denis Daneman8, Elizabeth A Davis9, John E Deanfield6, Kim C Donaghue4, Timothy W Jones9, Farid H Mahmud8, Sally M Marshall10, Andrew Neil11, Helen M Colhoun12, David B Dunger1,13. 1. Department of Paediatrics, University of Cambridge, Cambridge, UK. 2. Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK. 3. Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK. 4. Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, University of Sydney, Sydney, Australia. 5. Department of Paediatrics, University of Melbourne, Melbourne, Australia. 6. Institute of Cardiovascular Science, University College London, London, UK. 7. Departments of Endocrinology and Diabetes and Medical Imaging, Women's and Children's Hospital, Adelaide, Australia. 8. Department of Paediatrics, The Hospital for Sick Children and University of Toronto, Toronto, Ontario, Canada. 9. Telethon Kids Institute, University of Western Australia, Perth, Australia. 10. Institute of Cellular Medicine (Diabetes), Faculty of Clinical Medical Sciences, Newcastle University, Newcastle upon Tyne, UK. 11. Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK. 12. Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK. 13. Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
Abstract
OBJECTIVES: To identify biomarkers of renal disease in adolescents with type 1 diabetes (T1D) and to compare findings in adults with T1D. METHODS: Twenty-five serum biomarkers were measured, using a Luminex platform, in 553 adolescents (median [interquartile range] age: 13.9 [12.6, 15.2] years), recruited to the Adolescent Type 1 Diabetes Cardio-Renal Intervention Trial. Associations with baseline and final estimated glomerular filtration rate (eGFR), rapid decliner and rapid increaser phenotypes (eGFR slopes <-3 and > 3 mL/min/1.73m2 /year, respectively), and albumin-creatinine ratio (ACR) were assessed. Results were also compared with those obtained in 859 adults (age: 55.5 [46.1, 64.4) years) from the Scottish Diabetes Research Network Type 1 Bioresource. RESULTS: In the adolescent cohort, baseline eGFR was negatively associated with trefoil factor-3, cystatin C, and beta-2 microglobulin (B2M) (B coefficient[95%CI]: -0.19 [-0.27, -0.12], P = 7.0 × 10-7 ; -0.18 [-0.26, -0.11], P = 5.1 × 10-6 ; -0.12 [-0.20, -0.05], P = 1.6 × 10-3 ), in addition to clinical covariates. Final eGFR was negatively associated with osteopontin (-0.21 [-0.28, -0.14], P = 2.3 × 10-8 ) and cystatin C (-0.16 [-0.22, -0.09], P = 1.6 × 10-6 ). Rapid decliner phenotype was associated with osteopontin (OR: 1.83 [1.42, 2.41], P = 7.3 × 10-6 ), whereas rapid increaser phenotype was associated with fibroblast growth factor-23 (FGF-23) (1.59 [1.23, 2.04], P = 2.6 × 10-4 ). ACR was not associated with any of the biomarkers. In the adult cohort similar associations with eGFR were found; however, several additional biomarkers were associated with eGFR and ACR. CONCLUSIONS: In this young population with T1D and high rates of hyperfiltration, osteopontin was the most consistent biomarker associated with prospective changes in eGFR. FGF-23 was associated with eGFR increases, whereas trefoil factor-3, cystatin C, and B2M were associated with baseline eGFR.
OBJECTIVES: To identify biomarkers of renal disease in adolescents with type 1 diabetes (T1D) and to compare findings in adults with T1D. METHODS: Twenty-five serum biomarkers were measured, using a Luminex platform, in 553 adolescents (median [interquartile range] age: 13.9 [12.6, 15.2] years), recruited to the Adolescent Type 1 Diabetes Cardio-Renal Intervention Trial. Associations with baseline and final estimated glomerular filtration rate (eGFR), rapid decliner and rapid increaser phenotypes (eGFR slopes <-3 and > 3 mL/min/1.73m2 /year, respectively), and albumin-creatinine ratio (ACR) were assessed. Results were also compared with those obtained in 859 adults (age: 55.5 [46.1, 64.4) years) from the Scottish Diabetes Research Network Type 1 Bioresource. RESULTS: In the adolescent cohort, baseline eGFR was negatively associated with trefoil factor-3, cystatin C, and beta-2 microglobulin (B2M) (B coefficient[95%CI]: -0.19 [-0.27, -0.12], P = 7.0 × 10-7 ; -0.18 [-0.26, -0.11], P = 5.1 × 10-6 ; -0.12 [-0.20, -0.05], P = 1.6 × 10-3 ), in addition to clinical covariates. Final eGFR was negatively associated with osteopontin (-0.21 [-0.28, -0.14], P = 2.3 × 10-8 ) and cystatin C (-0.16 [-0.22, -0.09], P = 1.6 × 10-6 ). Rapid decliner phenotype was associated with osteopontin (OR: 1.83 [1.42, 2.41], P = 7.3 × 10-6 ), whereas rapid increaser phenotype was associated with fibroblast growth factor-23 (FGF-23) (1.59 [1.23, 2.04], P = 2.6 × 10-4 ). ACR was not associated with any of the biomarkers. In the adult cohort similar associations with eGFR were found; however, several additional biomarkers were associated with eGFR and ACR. CONCLUSIONS: In this young population with T1D and high rates of hyperfiltration, osteopontin was the most consistent biomarker associated with prospective changes in eGFR. FGF-23 was associated with eGFR increases, whereas trefoil factor-3, cystatin C, and B2M were associated with baseline eGFR.
Authors: Ivana Trutin; Zarko Bajic; Daniel Turudic; Andrea Cvitkovic-Roic; Danko Milosevic Journal: Front Pediatr Date: 2022-07-29 Impact factor: 3.569