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Biomarkers for Detecting Kidney Dysfunction in Type-2 Diabetics and Diabetic Nephropathy Subjects: A Case-Control Study to Identify Potential Biomarkers of DN to Stratify Risk of Progression in T2D Patients

INTRODUCTION: Currently there are no biomarkers that are predictive of when patients with type-2 diabetes (T2D) will progress to more serious kidney disease i.e., diabetic nephropathy (DN). Biomarkers that could identify patients at risk of progression would allow earlier, more aggressive treatment...

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Autores principales: Harkin, Carla, Cobice, Diego, Brockbank, Simon, Bolton, Stephanie, Johnston, Frances, Strzelecka, Anna, Watt, Joanne, Kurth, Mary Jo, Lamont, John V., Fitzgerald, Peter, Moore, Tara, Ruddock, Mark W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276980/
https://www.ncbi.nlm.nih.gov/pubmed/35846341
http://dx.doi.org/10.3389/fendo.2022.887237
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author Harkin, Carla
Cobice, Diego
Brockbank, Simon
Bolton, Stephanie
Johnston, Frances
Strzelecka, Anna
Watt, Joanne
Kurth, Mary Jo
Lamont, John V.
Fitzgerald, Peter
Moore, Tara
Ruddock, Mark W.
author_facet Harkin, Carla
Cobice, Diego
Brockbank, Simon
Bolton, Stephanie
Johnston, Frances
Strzelecka, Anna
Watt, Joanne
Kurth, Mary Jo
Lamont, John V.
Fitzgerald, Peter
Moore, Tara
Ruddock, Mark W.
author_sort Harkin, Carla
collection PubMed
description INTRODUCTION: Currently there are no biomarkers that are predictive of when patients with type-2 diabetes (T2D) will progress to more serious kidney disease i.e., diabetic nephropathy (DN). Biomarkers that could identify patients at risk of progression would allow earlier, more aggressive treatment intervention and management, reducing patient morbidity and mortality. MATERIALS AND METHODS: Study participants (N=88; control n=26; T2D n=32; DN n=30) were recruited from the renal unit at Antrim Area Hospital, Antrim, UK; Whiteabbey Hospital Diabetic Clinic, Newtownabbey, UK; Ulster University (UU), Belfast, UK; and the University of the Third Age (U3A), Belfast, UK; between 2019 and 2020. Venous blood and urine were collected with a detailed clinical history for each study participant. RESULTS: In total, 13/25 (52.0%) biomarkers measured in urine and 25/34 (73.5%) biomarkers measured in serum were identified as significantly different between control, T2D and DN participants. DN patients, were older, smoked more, had higher systolic blood pressure and higher serum creatinine levels and lower eGFR function. Serum biomarkers significantly inversely correlated with eGFR. CONCLUSION: This pilot-study identified several serum biomarkers that could be used to predict progression of T2D to more serious kidney disease: namely, midkine, sTNFR1 and 2, H-FABP and Cystatin C. Our results warrant confirmation in a longitudinal study using a larger patient cohort.
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spelling pubmed-92769802022-07-14 Biomarkers for Detecting Kidney Dysfunction in Type-2 Diabetics and Diabetic Nephropathy Subjects: A Case-Control Study to Identify Potential Biomarkers of DN to Stratify Risk of Progression in T2D Patients Harkin, Carla Cobice, Diego Brockbank, Simon Bolton, Stephanie Johnston, Frances Strzelecka, Anna Watt, Joanne Kurth, Mary Jo Lamont, John V. Fitzgerald, Peter Moore, Tara Ruddock, Mark W. Front Endocrinol (Lausanne) Endocrinology INTRODUCTION: Currently there are no biomarkers that are predictive of when patients with type-2 diabetes (T2D) will progress to more serious kidney disease i.e., diabetic nephropathy (DN). Biomarkers that could identify patients at risk of progression would allow earlier, more aggressive treatment intervention and management, reducing patient morbidity and mortality. MATERIALS AND METHODS: Study participants (N=88; control n=26; T2D n=32; DN n=30) were recruited from the renal unit at Antrim Area Hospital, Antrim, UK; Whiteabbey Hospital Diabetic Clinic, Newtownabbey, UK; Ulster University (UU), Belfast, UK; and the University of the Third Age (U3A), Belfast, UK; between 2019 and 2020. Venous blood and urine were collected with a detailed clinical history for each study participant. RESULTS: In total, 13/25 (52.0%) biomarkers measured in urine and 25/34 (73.5%) biomarkers measured in serum were identified as significantly different between control, T2D and DN participants. DN patients, were older, smoked more, had higher systolic blood pressure and higher serum creatinine levels and lower eGFR function. Serum biomarkers significantly inversely correlated with eGFR. CONCLUSION: This pilot-study identified several serum biomarkers that could be used to predict progression of T2D to more serious kidney disease: namely, midkine, sTNFR1 and 2, H-FABP and Cystatin C. Our results warrant confirmation in a longitudinal study using a larger patient cohort. Frontiers Media S.A. 2022-06-29 /pmc/articles/PMC9276980/ /pubmed/35846341 http://dx.doi.org/10.3389/fendo.2022.887237 Text en Copyright © 2022 Harkin, Cobice, Brockbank, Bolton, Johnston, Strzelecka, Watt, Kurth, Lamont, Fitzgerald, Moore and Ruddock https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Harkin, Carla
Cobice, Diego
Brockbank, Simon
Bolton, Stephanie
Johnston, Frances
Strzelecka, Anna
Watt, Joanne
Kurth, Mary Jo
Lamont, John V.
Fitzgerald, Peter
Moore, Tara
Ruddock, Mark W.
Biomarkers for Detecting Kidney Dysfunction in Type-2 Diabetics and Diabetic Nephropathy Subjects: A Case-Control Study to Identify Potential Biomarkers of DN to Stratify Risk of Progression in T2D Patients
title Biomarkers for Detecting Kidney Dysfunction in Type-2 Diabetics and Diabetic Nephropathy Subjects: A Case-Control Study to Identify Potential Biomarkers of DN to Stratify Risk of Progression in T2D Patients
title_full Biomarkers for Detecting Kidney Dysfunction in Type-2 Diabetics and Diabetic Nephropathy Subjects: A Case-Control Study to Identify Potential Biomarkers of DN to Stratify Risk of Progression in T2D Patients
title_fullStr Biomarkers for Detecting Kidney Dysfunction in Type-2 Diabetics and Diabetic Nephropathy Subjects: A Case-Control Study to Identify Potential Biomarkers of DN to Stratify Risk of Progression in T2D Patients
title_full_unstemmed Biomarkers for Detecting Kidney Dysfunction in Type-2 Diabetics and Diabetic Nephropathy Subjects: A Case-Control Study to Identify Potential Biomarkers of DN to Stratify Risk of Progression in T2D Patients
title_short Biomarkers for Detecting Kidney Dysfunction in Type-2 Diabetics and Diabetic Nephropathy Subjects: A Case-Control Study to Identify Potential Biomarkers of DN to Stratify Risk of Progression in T2D Patients
title_sort biomarkers for detecting kidney dysfunction in type-2 diabetics and diabetic nephropathy subjects: a case-control study to identify potential biomarkers of dn to stratify risk of progression in t2d patients
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276980/
https://www.ncbi.nlm.nih.gov/pubmed/35846341
http://dx.doi.org/10.3389/fendo.2022.887237
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