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Novel biomarkers for prognosticating diabetic kidney disease progression
The global burden of diabetic kidney disease (DKD) is escalating, and it remains as a predominant cause of the end-stage renal disease (ESRD). DKD is associated with increased cardiovascular disease and morbidity in all types of diabetes. Prediction of progression with albuminuria and eGFR is challe...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030535/ https://www.ncbi.nlm.nih.gov/pubmed/36271990 http://dx.doi.org/10.1007/s11255-022-03354-7 |
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author | Swaminathan, Shilna Muttickal Rao, Indu Ramachandra Shenoy, Srinivas Vinayak Prabhu, Attur Ravindra Mohan, Pooja Basthi Rangaswamy, Dharshan Bhojaraja, Mohan V Nagri, Shivashankara Kaniyoor Nagaraju, Shankar Prasad |
author_facet | Swaminathan, Shilna Muttickal Rao, Indu Ramachandra Shenoy, Srinivas Vinayak Prabhu, Attur Ravindra Mohan, Pooja Basthi Rangaswamy, Dharshan Bhojaraja, Mohan V Nagri, Shivashankara Kaniyoor Nagaraju, Shankar Prasad |
author_sort | Swaminathan, Shilna Muttickal |
collection | PubMed |
description | The global burden of diabetic kidney disease (DKD) is escalating, and it remains as a predominant cause of the end-stage renal disease (ESRD). DKD is associated with increased cardiovascular disease and morbidity in all types of diabetes. Prediction of progression with albuminuria and eGFR is challenging in DKD, especially in non-proteinuric DKD patients. The pathogenesis of DKD is multifactorial characterized by injury to all components of the nephron, whereas albuminuria is an indicator of only glomerular injury. The limits in the diagnostic and prognostic value of urine albumin demonstrate the need for alternative and clinically significant early biomarkers, allowing more targeted and effective diabetic treatment, to reduce the burden of DKD and ESRD. Identification of biomarkers, based on multifactorial pathogenesis of DKD can be the crucial paradigm in the treatment algorithm of DKD patients. This review focuses on the potential biomarkers linked to DKD pathogenesis, particularly with the hope of broadening the diagnostic window to identify patients with different stages of DKD progression. |
format | Online Article Text |
id | pubmed-10030535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-100305352023-03-23 Novel biomarkers for prognosticating diabetic kidney disease progression Swaminathan, Shilna Muttickal Rao, Indu Ramachandra Shenoy, Srinivas Vinayak Prabhu, Attur Ravindra Mohan, Pooja Basthi Rangaswamy, Dharshan Bhojaraja, Mohan V Nagri, Shivashankara Kaniyoor Nagaraju, Shankar Prasad Int Urol Nephrol Nephrology - Review The global burden of diabetic kidney disease (DKD) is escalating, and it remains as a predominant cause of the end-stage renal disease (ESRD). DKD is associated with increased cardiovascular disease and morbidity in all types of diabetes. Prediction of progression with albuminuria and eGFR is challenging in DKD, especially in non-proteinuric DKD patients. The pathogenesis of DKD is multifactorial characterized by injury to all components of the nephron, whereas albuminuria is an indicator of only glomerular injury. The limits in the diagnostic and prognostic value of urine albumin demonstrate the need for alternative and clinically significant early biomarkers, allowing more targeted and effective diabetic treatment, to reduce the burden of DKD and ESRD. Identification of biomarkers, based on multifactorial pathogenesis of DKD can be the crucial paradigm in the treatment algorithm of DKD patients. This review focuses on the potential biomarkers linked to DKD pathogenesis, particularly with the hope of broadening the diagnostic window to identify patients with different stages of DKD progression. Springer Netherlands 2022-10-22 2023 /pmc/articles/PMC10030535/ /pubmed/36271990 http://dx.doi.org/10.1007/s11255-022-03354-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Nephrology - Review Swaminathan, Shilna Muttickal Rao, Indu Ramachandra Shenoy, Srinivas Vinayak Prabhu, Attur Ravindra Mohan, Pooja Basthi Rangaswamy, Dharshan Bhojaraja, Mohan V Nagri, Shivashankara Kaniyoor Nagaraju, Shankar Prasad Novel biomarkers for prognosticating diabetic kidney disease progression |
title | Novel biomarkers for prognosticating diabetic kidney disease progression |
title_full | Novel biomarkers for prognosticating diabetic kidney disease progression |
title_fullStr | Novel biomarkers for prognosticating diabetic kidney disease progression |
title_full_unstemmed | Novel biomarkers for prognosticating diabetic kidney disease progression |
title_short | Novel biomarkers for prognosticating diabetic kidney disease progression |
title_sort | novel biomarkers for prognosticating diabetic kidney disease progression |
topic | Nephrology - Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030535/ https://www.ncbi.nlm.nih.gov/pubmed/36271990 http://dx.doi.org/10.1007/s11255-022-03354-7 |
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