Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes

Detalhes bibliográficos
Autor(a) principal: Bacci, Marcelo R.
Data de Publicação: 2017
Outros Autores: Chehter, Ethel Z., Azzalis, Ligia A. [UNIFESP], de Aguiar Alves, Beatriz Costa, Fonseca, Fernando L. A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNIFESP
Texto Completo: http://dx.doi.org/10.1016/j.ekir.2016.10.001
https://repositorio.unifesp.br/handle/11600/54948
Resumo: Introduction: Diabetic nephropathy is associated with specific histological changes. Early detection of poor glomerular and tubular function can be achieved with biomarkers of diabetes. The aim of this study was to evaluate the accuracy of kidney dysfunction biomarkers in type 2 diabetes (T2D). Methods: Patients with T2D were grouped according to their glycated hemoglobin level. Patients' urine and blood samples were taken to measure cystatin C (CysC), neutrophil gelatinase-associated lipocalin, beta-trace protein levels, and the first morning void albumin-to-creatinine ratio. Patients in the end stage of renal disease or receiving dialysis were not included. Receiver operating characteristic curves were generated, and the areas under the curve were compared with the performance of the biomarkers used to evaluate kidney dysfunction in T2D. Results: Ninety patients with T2D were chosen. CysC was positively correlated with creatinine (P < 0.001), estimated glomerular filtration rate (P < 0.001), and urinary beta-trace protein (P = 0.01). The area under the curve was 0.635 for CysC, 0.621 for serum neutrophil gelatinase-associated lipocalin, and 0.660 for the albumin-to-creatinine ratio. A crude logistic regression model showed a positive association between serum CysC (P = 0.01) and serum neutrophil gelatinase-associated lipocalin (P < 0.001). A linear regression model showed a positive association between serum CysC, creatinine, and estimated glomerular filtration rate (P < 0.001) but did not show a positive association with glycated hemoglobin (P = 0.892). Discussion: Neutrophil gelatinase-associated lipocalin and serum CysC were positively associated with the presence of renal dysfunction and had better performance on receiver operating characteristic analysis than the other markers evaluated in patients with T2D without kidney dysfunction.
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spelling Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetesalbuminuriabiomarkerscystatin Cdiabetic kidney diseaseNGALIntroduction: Diabetic nephropathy is associated with specific histological changes. Early detection of poor glomerular and tubular function can be achieved with biomarkers of diabetes. The aim of this study was to evaluate the accuracy of kidney dysfunction biomarkers in type 2 diabetes (T2D). Methods: Patients with T2D were grouped according to their glycated hemoglobin level. Patients' urine and blood samples were taken to measure cystatin C (CysC), neutrophil gelatinase-associated lipocalin, beta-trace protein levels, and the first morning void albumin-to-creatinine ratio. Patients in the end stage of renal disease or receiving dialysis were not included. Receiver operating characteristic curves were generated, and the areas under the curve were compared with the performance of the biomarkers used to evaluate kidney dysfunction in T2D. Results: Ninety patients with T2D were chosen. CysC was positively correlated with creatinine (P < 0.001), estimated glomerular filtration rate (P < 0.001), and urinary beta-trace protein (P = 0.01). The area under the curve was 0.635 for CysC, 0.621 for serum neutrophil gelatinase-associated lipocalin, and 0.660 for the albumin-to-creatinine ratio. A crude logistic regression model showed a positive association between serum CysC (P = 0.01) and serum neutrophil gelatinase-associated lipocalin (P < 0.001). A linear regression model showed a positive association between serum CysC, creatinine, and estimated glomerular filtration rate (P < 0.001) but did not show a positive association with glycated hemoglobin (P = 0.892). Discussion: Neutrophil gelatinase-associated lipocalin and serum CysC were positively associated with the presence of renal dysfunction and had better performance on receiver operating characteristic analysis than the other markers evaluated in patients with T2D without kidney dysfunction.Fac Med ABC, Dept Gen Practice, Santo Andre, BrazilUniv Fed Sao Paulo, Earth Sci Dept, Sao Paulo, Fac Med ABC, Clin Anal Lab, Santo Andre, BrazilUniv Fed Sao Paulo, Earth Sci Dept, Sao Paulo, Fac Med ABC, Clin Anal Lab, Santo Andre, BrazilWeb of ScienceFundaao de Amparo a Pesquisa do Estado de Sao PauloNucleo de Assistencia a Pesquisa ClinicaFAPESP: 2014/04596-8Elsevier - Division Reed Elsevier India Pvt Ltd2020-07-17T14:02:41Z2020-07-17T14:02:41Z2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion152-158http://dx.doi.org/10.1016/j.ekir.2016.10.001Kidney International Reports. New Delhi, v. 2, n. 2, p. 152-158, 2017.10.1016/j.ekir.2016.10.0012468-0249https://repositorio.unifesp.br/handle/11600/54948WOS:000405959300007engKidney International ReportsNew Delhiinfo:eu-repo/semantics/openAccessBacci, Marcelo R.Chehter, Ethel Z.Azzalis, Ligia A. [UNIFESP]de Aguiar Alves, Beatriz CostaFonseca, Fernando L. A.reponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2021-09-28T16:45:39Zoai:repositorio.unifesp.br/:11600/54948Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652021-09-28T16:45:39Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false
dc.title.none.fl_str_mv Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes
title Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes
spellingShingle Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes
Bacci, Marcelo R.
albuminuria
biomarkers
cystatin C
diabetic kidney disease
NGAL
title_short Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes
title_full Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes
title_fullStr Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes
title_full_unstemmed Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes
title_sort Serum NGAL and Cystatin C Comparison With Urinary Albumin-to-Creatinine Ratio and Inflammatory Biomarkers as Early Predictors of Renal Dysfunction in Patients With Type 2 Diabetes
author Bacci, Marcelo R.
author_facet Bacci, Marcelo R.
Chehter, Ethel Z.
Azzalis, Ligia A. [UNIFESP]
de Aguiar Alves, Beatriz Costa
Fonseca, Fernando L. A.
author_role author
author2 Chehter, Ethel Z.
Azzalis, Ligia A. [UNIFESP]
de Aguiar Alves, Beatriz Costa
Fonseca, Fernando L. A.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Bacci, Marcelo R.
Chehter, Ethel Z.
Azzalis, Ligia A. [UNIFESP]
de Aguiar Alves, Beatriz Costa
Fonseca, Fernando L. A.
dc.subject.por.fl_str_mv albuminuria
biomarkers
cystatin C
diabetic kidney disease
NGAL
topic albuminuria
biomarkers
cystatin C
diabetic kidney disease
NGAL
description Introduction: Diabetic nephropathy is associated with specific histological changes. Early detection of poor glomerular and tubular function can be achieved with biomarkers of diabetes. The aim of this study was to evaluate the accuracy of kidney dysfunction biomarkers in type 2 diabetes (T2D). Methods: Patients with T2D were grouped according to their glycated hemoglobin level. Patients' urine and blood samples were taken to measure cystatin C (CysC), neutrophil gelatinase-associated lipocalin, beta-trace protein levels, and the first morning void albumin-to-creatinine ratio. Patients in the end stage of renal disease or receiving dialysis were not included. Receiver operating characteristic curves were generated, and the areas under the curve were compared with the performance of the biomarkers used to evaluate kidney dysfunction in T2D. Results: Ninety patients with T2D were chosen. CysC was positively correlated with creatinine (P < 0.001), estimated glomerular filtration rate (P < 0.001), and urinary beta-trace protein (P = 0.01). The area under the curve was 0.635 for CysC, 0.621 for serum neutrophil gelatinase-associated lipocalin, and 0.660 for the albumin-to-creatinine ratio. A crude logistic regression model showed a positive association between serum CysC (P = 0.01) and serum neutrophil gelatinase-associated lipocalin (P < 0.001). A linear regression model showed a positive association between serum CysC, creatinine, and estimated glomerular filtration rate (P < 0.001) but did not show a positive association with glycated hemoglobin (P = 0.892). Discussion: Neutrophil gelatinase-associated lipocalin and serum CysC were positively associated with the presence of renal dysfunction and had better performance on receiver operating characteristic analysis than the other markers evaluated in patients with T2D without kidney dysfunction.
publishDate 2017
dc.date.none.fl_str_mv 2017
2020-07-17T14:02:41Z
2020-07-17T14:02:41Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.ekir.2016.10.001
Kidney International Reports. New Delhi, v. 2, n. 2, p. 152-158, 2017.
10.1016/j.ekir.2016.10.001
2468-0249
https://repositorio.unifesp.br/handle/11600/54948
WOS:000405959300007
url http://dx.doi.org/10.1016/j.ekir.2016.10.001
https://repositorio.unifesp.br/handle/11600/54948
identifier_str_mv Kidney International Reports. New Delhi, v. 2, n. 2, p. 152-158, 2017.
10.1016/j.ekir.2016.10.001
2468-0249
WOS:000405959300007
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Kidney International Reports
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 152-158
dc.coverage.none.fl_str_mv New Delhi
dc.publisher.none.fl_str_mv Elsevier - Division Reed Elsevier India Pvt Ltd
publisher.none.fl_str_mv Elsevier - Division Reed Elsevier India Pvt Ltd
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNIFESP
instname:Universidade Federal de São Paulo (UNIFESP)
instacron:UNIFESP
instname_str Universidade Federal de São Paulo (UNIFESP)
instacron_str UNIFESP
institution UNIFESP
reponame_str Repositório Institucional da UNIFESP
collection Repositório Institucional da UNIFESP
repository.name.fl_str_mv Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)
repository.mail.fl_str_mv biblioteca.csp@unifesp.br
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