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Comparison of Circulating Biomarkers in Predicting Diabetic Kidney Disease Progression With Autoantibodies to Erythropoietin Receptor

INTRODUCTION: Several circulating markers, including autoantibodies to erythropoietin receptor (anti-EPOR antibodies), have been identified as useful biomarkers in predicting diabetic kidney disease progression. However, a direct comparison of their utility is lacking. We aimed to validate and to co...

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Autores principales: Oshima, Megumi, Hara, Akinori, Toyama, Tadashi, Jun, Min, Pollock, Carol, Jardine, Meg, Harrap, Stephen, Poulter, Neil, Cooper, Mark E., Woodward, Mark, Chalmers, John, Perkovic, Vlado, Wong, Muh Geot, Wada, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7879109/
https://www.ncbi.nlm.nih.gov/pubmed/33615053
http://dx.doi.org/10.1016/j.ekir.2020.10.039
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author Oshima, Megumi
Hara, Akinori
Toyama, Tadashi
Jun, Min
Pollock, Carol
Jardine, Meg
Harrap, Stephen
Poulter, Neil
Cooper, Mark E.
Woodward, Mark
Chalmers, John
Perkovic, Vlado
Wong, Muh Geot
Wada, Takashi
author_facet Oshima, Megumi
Hara, Akinori
Toyama, Tadashi
Jun, Min
Pollock, Carol
Jardine, Meg
Harrap, Stephen
Poulter, Neil
Cooper, Mark E.
Woodward, Mark
Chalmers, John
Perkovic, Vlado
Wong, Muh Geot
Wada, Takashi
author_sort Oshima, Megumi
collection PubMed
description INTRODUCTION: Several circulating markers, including autoantibodies to erythropoietin receptor (anti-EPOR antibodies), have been identified as useful biomarkers in predicting diabetic kidney disease progression. However, a direct comparison of their utility is lacking. We aimed to validate and to compare the prognostic value of anti-EPOR antibodies with that of other known biomarkers, using the ADVANCE trial and its long-term follow-up, ADVANCE-ON, cohorts. METHODS: In this nested case-control study from the ADVANCE trial cohort, we included 165 case participants who had the composite kidney outcome (renal replacement therapy, renal death, or doubling of serum creatinine to ≥200 μmol/l) and 330 matched controls. We compared the associations of baseline plasma levels of anti-EPOR antibodies, tumor necrosis factor receptor (TNFR)-1 and -2, and bone morphogenetic protein (BMP)-7 with kidney outcomes. RESULTS: Cases had higher baseline plasma levels of anti-EPOR antibodies than controls (median 1.7 vs. 0.6 enzyme-linked immunosorbent assay unit, P < 0.001). Higher levels of anti-EPOR antibodies were associated with an increased risk of kidney outcome (odds ratio 2.16 [95% confidence interval 1.51, 3.08], per 1 SD of log-transformed levels) after adjusting for conventional markers. Elevated circulating TNFR1 and TNFR2 levels, and lower BMP-7 levels at baseline, were associated with poor kidney outcome (odds ratios 2.06 [1.29, 3.30], 1.66 [1.13, 2.43], and 0.45 [0.32, 0.65], respectively). The addition of anti-EPOR antibodies into the model improved the prediction of kidney outcome, regardless of other biomarkers. CONCLUSION: Anti-EPOR antibodies provide a promising biomarker, as with TNFR1, TNFR2, and BMP-7, in predicting kidney disease progression in people with type 2 diabetes mellitus.
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spelling pubmed-78791092021-02-18 Comparison of Circulating Biomarkers in Predicting Diabetic Kidney Disease Progression With Autoantibodies to Erythropoietin Receptor Oshima, Megumi Hara, Akinori Toyama, Tadashi Jun, Min Pollock, Carol Jardine, Meg Harrap, Stephen Poulter, Neil Cooper, Mark E. Woodward, Mark Chalmers, John Perkovic, Vlado Wong, Muh Geot Wada, Takashi Kidney Int Rep Clinical Research INTRODUCTION: Several circulating markers, including autoantibodies to erythropoietin receptor (anti-EPOR antibodies), have been identified as useful biomarkers in predicting diabetic kidney disease progression. However, a direct comparison of their utility is lacking. We aimed to validate and to compare the prognostic value of anti-EPOR antibodies with that of other known biomarkers, using the ADVANCE trial and its long-term follow-up, ADVANCE-ON, cohorts. METHODS: In this nested case-control study from the ADVANCE trial cohort, we included 165 case participants who had the composite kidney outcome (renal replacement therapy, renal death, or doubling of serum creatinine to ≥200 μmol/l) and 330 matched controls. We compared the associations of baseline plasma levels of anti-EPOR antibodies, tumor necrosis factor receptor (TNFR)-1 and -2, and bone morphogenetic protein (BMP)-7 with kidney outcomes. RESULTS: Cases had higher baseline plasma levels of anti-EPOR antibodies than controls (median 1.7 vs. 0.6 enzyme-linked immunosorbent assay unit, P < 0.001). Higher levels of anti-EPOR antibodies were associated with an increased risk of kidney outcome (odds ratio 2.16 [95% confidence interval 1.51, 3.08], per 1 SD of log-transformed levels) after adjusting for conventional markers. Elevated circulating TNFR1 and TNFR2 levels, and lower BMP-7 levels at baseline, were associated with poor kidney outcome (odds ratios 2.06 [1.29, 3.30], 1.66 [1.13, 2.43], and 0.45 [0.32, 0.65], respectively). The addition of anti-EPOR antibodies into the model improved the prediction of kidney outcome, regardless of other biomarkers. CONCLUSION: Anti-EPOR antibodies provide a promising biomarker, as with TNFR1, TNFR2, and BMP-7, in predicting kidney disease progression in people with type 2 diabetes mellitus. Elsevier 2020-11-10 /pmc/articles/PMC7879109/ /pubmed/33615053 http://dx.doi.org/10.1016/j.ekir.2020.10.039 Text en © 2020 International Society of Nephrology. Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Clinical Research
Oshima, Megumi
Hara, Akinori
Toyama, Tadashi
Jun, Min
Pollock, Carol
Jardine, Meg
Harrap, Stephen
Poulter, Neil
Cooper, Mark E.
Woodward, Mark
Chalmers, John
Perkovic, Vlado
Wong, Muh Geot
Wada, Takashi
Comparison of Circulating Biomarkers in Predicting Diabetic Kidney Disease Progression With Autoantibodies to Erythropoietin Receptor
title Comparison of Circulating Biomarkers in Predicting Diabetic Kidney Disease Progression With Autoantibodies to Erythropoietin Receptor
title_full Comparison of Circulating Biomarkers in Predicting Diabetic Kidney Disease Progression With Autoantibodies to Erythropoietin Receptor
title_fullStr Comparison of Circulating Biomarkers in Predicting Diabetic Kidney Disease Progression With Autoantibodies to Erythropoietin Receptor
title_full_unstemmed Comparison of Circulating Biomarkers in Predicting Diabetic Kidney Disease Progression With Autoantibodies to Erythropoietin Receptor
title_short Comparison of Circulating Biomarkers in Predicting Diabetic Kidney Disease Progression With Autoantibodies to Erythropoietin Receptor
title_sort comparison of circulating biomarkers in predicting diabetic kidney disease progression with autoantibodies to erythropoietin receptor
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7879109/
https://www.ncbi.nlm.nih.gov/pubmed/33615053
http://dx.doi.org/10.1016/j.ekir.2020.10.039
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