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Kidney disease risk factors associate with urine biomarkers concentrations in HIV-positive persons; a cross-sectional study

BACKGROUND: HIV-positive persons bear an excess burden of chronic kidney disease (CKD); however, conventional methods to assess kidney health are insensitive and non-specific for detecting early kidney injury. Urinary biomarkers can detect early kidney injury, and may help mitigate the risk of overt...

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Autores principales: Muiru, Anthony N., Shlipak, Michael G., Scherzer, Rebecca, Zhang, William R., Ascher, Simon B., Jotwani, Vasantha, Grunfeld, Carl, Parikh, Chirag R., Ng, Derek, Palella, Frank J., Ho, Ken, Kassaye, Seble, Sharma, Anjali, Cohen, Mardge, Wang, Ruibin, Qi, Qibin, Estrella, Michelle M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318986/
https://www.ncbi.nlm.nih.gov/pubmed/30606136
http://dx.doi.org/10.1186/s12882-018-1192-y
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author Muiru, Anthony N.
Shlipak, Michael G.
Scherzer, Rebecca
Zhang, William R.
Ascher, Simon B.
Jotwani, Vasantha
Grunfeld, Carl
Parikh, Chirag R.
Ng, Derek
Palella, Frank J.
Ho, Ken
Kassaye, Seble
Sharma, Anjali
Cohen, Mardge
Wang, Ruibin
Qi, Qibin
Estrella, Michelle M.
author_facet Muiru, Anthony N.
Shlipak, Michael G.
Scherzer, Rebecca
Zhang, William R.
Ascher, Simon B.
Jotwani, Vasantha
Grunfeld, Carl
Parikh, Chirag R.
Ng, Derek
Palella, Frank J.
Ho, Ken
Kassaye, Seble
Sharma, Anjali
Cohen, Mardge
Wang, Ruibin
Qi, Qibin
Estrella, Michelle M.
author_sort Muiru, Anthony N.
collection PubMed
description BACKGROUND: HIV-positive persons bear an excess burden of chronic kidney disease (CKD); however, conventional methods to assess kidney health are insensitive and non-specific for detecting early kidney injury. Urinary biomarkers can detect early kidney injury, and may help mitigate the risk of overt CKD. METHODS: Cross-sectional study of HIV-positive persons in the Multicenter AIDS Cohort Study and the Women’s Interagency HIV Study. We measured levels of 14 biomarkers, capturing multiple dimensions of kidney injury. We then evaluated associations of known CKD risk factors with urine biomarkers using separate multivariable adjusted models for each biomarker. RESULTS: Of the 198 participants, one third were on HAART and virally suppressed. The vast majority (95%) had preserved kidney function as assessed by serum creatinine, with a median eGFR of 103 ml/min/1.73 m(2) (interquartile range (IQR): 88, 116). In our multivariable analyses, the associations of each CKD risk factor with urinary biomarker levels varied in magnitude. For example, HIV viral load was predominantly associated with elevations in interleukin(IL)-18, and albuminuria, while higher CD4 levels were associated with lower monocyte chemoattractant protein-1 (MCP-1) and β2-microglobulin. In contrast, older age was significantly associated with elevations in α1-microglobulin, kidney injury marker-1, clusterin, MCP-1, and chitinase-3-like protein-1 levels, as well as lower epidermal growth factor, and uromodulin levels. CONCLUSIONS: Among HIV-positive persons, CKD risk factors are associated with unique and heterogeneous patterns of changes in urine biomarkers levels. Additional work is needed to develop parsimonious algorithms that integrate multiple biomarkers and clinical data to discern the risk of overt CKD and its progression. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-018-1192-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-63189862019-01-08 Kidney disease risk factors associate with urine biomarkers concentrations in HIV-positive persons; a cross-sectional study Muiru, Anthony N. Shlipak, Michael G. Scherzer, Rebecca Zhang, William R. Ascher, Simon B. Jotwani, Vasantha Grunfeld, Carl Parikh, Chirag R. Ng, Derek Palella, Frank J. Ho, Ken Kassaye, Seble Sharma, Anjali Cohen, Mardge Wang, Ruibin Qi, Qibin Estrella, Michelle M. BMC Nephrol Research Article BACKGROUND: HIV-positive persons bear an excess burden of chronic kidney disease (CKD); however, conventional methods to assess kidney health are insensitive and non-specific for detecting early kidney injury. Urinary biomarkers can detect early kidney injury, and may help mitigate the risk of overt CKD. METHODS: Cross-sectional study of HIV-positive persons in the Multicenter AIDS Cohort Study and the Women’s Interagency HIV Study. We measured levels of 14 biomarkers, capturing multiple dimensions of kidney injury. We then evaluated associations of known CKD risk factors with urine biomarkers using separate multivariable adjusted models for each biomarker. RESULTS: Of the 198 participants, one third were on HAART and virally suppressed. The vast majority (95%) had preserved kidney function as assessed by serum creatinine, with a median eGFR of 103 ml/min/1.73 m(2) (interquartile range (IQR): 88, 116). In our multivariable analyses, the associations of each CKD risk factor with urinary biomarker levels varied in magnitude. For example, HIV viral load was predominantly associated with elevations in interleukin(IL)-18, and albuminuria, while higher CD4 levels were associated with lower monocyte chemoattractant protein-1 (MCP-1) and β2-microglobulin. In contrast, older age was significantly associated with elevations in α1-microglobulin, kidney injury marker-1, clusterin, MCP-1, and chitinase-3-like protein-1 levels, as well as lower epidermal growth factor, and uromodulin levels. CONCLUSIONS: Among HIV-positive persons, CKD risk factors are associated with unique and heterogeneous patterns of changes in urine biomarkers levels. Additional work is needed to develop parsimonious algorithms that integrate multiple biomarkers and clinical data to discern the risk of overt CKD and its progression. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12882-018-1192-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-03 /pmc/articles/PMC6318986/ /pubmed/30606136 http://dx.doi.org/10.1186/s12882-018-1192-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Muiru, Anthony N.
Shlipak, Michael G.
Scherzer, Rebecca
Zhang, William R.
Ascher, Simon B.
Jotwani, Vasantha
Grunfeld, Carl
Parikh, Chirag R.
Ng, Derek
Palella, Frank J.
Ho, Ken
Kassaye, Seble
Sharma, Anjali
Cohen, Mardge
Wang, Ruibin
Qi, Qibin
Estrella, Michelle M.
Kidney disease risk factors associate with urine biomarkers concentrations in HIV-positive persons; a cross-sectional study
title Kidney disease risk factors associate with urine biomarkers concentrations in HIV-positive persons; a cross-sectional study
title_full Kidney disease risk factors associate with urine biomarkers concentrations in HIV-positive persons; a cross-sectional study
title_fullStr Kidney disease risk factors associate with urine biomarkers concentrations in HIV-positive persons; a cross-sectional study
title_full_unstemmed Kidney disease risk factors associate with urine biomarkers concentrations in HIV-positive persons; a cross-sectional study
title_short Kidney disease risk factors associate with urine biomarkers concentrations in HIV-positive persons; a cross-sectional study
title_sort kidney disease risk factors associate with urine biomarkers concentrations in hiv-positive persons; a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318986/
https://www.ncbi.nlm.nih.gov/pubmed/30606136
http://dx.doi.org/10.1186/s12882-018-1192-y
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