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The Predicted Value of Kidney Injury Molecule-1 (KIM-1) in Healthy People

PURPOSE: Recent studies have focused on whether kidney injury molecule-1 (KIM-1) might serve as a marker of acute kidney tubular injury. Our study analyzed the levels of KIM-1 in the healthy population of different ages to explore the correlation between KIM-1 and age. Moreover, we constructed a mod...

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Autores principales: Peng, Shanshan, Liu, Na, Wei, Kai, Li, Gang, Zou, Zheng, Liu, Tao, Shi, Meifang, Lv, Yuan, Lin, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9064178/
https://www.ncbi.nlm.nih.gov/pubmed/35518515
http://dx.doi.org/10.2147/IJGM.S361468
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author Peng, Shanshan
Liu, Na
Wei, Kai
Li, Gang
Zou, Zheng
Liu, Tao
Shi, Meifang
Lv, Yuan
Lin, Yong
author_facet Peng, Shanshan
Liu, Na
Wei, Kai
Li, Gang
Zou, Zheng
Liu, Tao
Shi, Meifang
Lv, Yuan
Lin, Yong
author_sort Peng, Shanshan
collection PubMed
description PURPOSE: Recent studies have focused on whether kidney injury molecule-1 (KIM-1) might serve as a marker of acute kidney tubular injury. Our study analyzed the levels of KIM-1 in the healthy population of different ages to explore the correlation between KIM-1 and age. Moreover, we constructed a model to predict kidney age. METHODS: A cross-sectional study was conducted by Huashan Hospital, Shanghai, China, between April 2020 and December 2020. KIM-1 and other kidney biomarkers were measured in 176 healthy individuals ranging from 26 to 91 years old. Statistical correlated analyses for urinary KIM-1, creatinine (uCREA), potassium (K), sodium (Na) and chlorine (Cl), plasmic renin, angiotensin-2 (AngII) and aldosterone (ALD), and serum microalbuminuria (MALB), β2-microglobulin (B2MG), cystatin C (CYSC), urea nitrogen (BUN), creatinine (CREA), and glucose (GLU) were performed to assess the correlation between age and kidney biomarkers. All variables were selected as independent variables for the prediction of age by multiple linear regression. RESULTS: KIM-1 positively correlated with age in kidney healthy people (r = 0.41, p < 0.05), whether among females (r = 0.51, p < 0.05) or males (r = 0.27, p < 0.05). It was much related to K (r = 0.34), B2MG (r = 0.28), and CL (r = 0.23). The predicted model was constructed with eGFR, Cl, ALD, CYSC, KIM-1, BUN, GLU and AngII, reaching an adjusted R(2) of 69.5% and a standard error of the estimated 7.84 years. CONCLUSION: The level of urinary KIM-1 increases with age in healthy people. The model constructed by KIM-1 and the other 7 biomarkers can predict kidney age in healthy people.
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spelling pubmed-90641782022-05-04 The Predicted Value of Kidney Injury Molecule-1 (KIM-1) in Healthy People Peng, Shanshan Liu, Na Wei, Kai Li, Gang Zou, Zheng Liu, Tao Shi, Meifang Lv, Yuan Lin, Yong Int J Gen Med Original Research PURPOSE: Recent studies have focused on whether kidney injury molecule-1 (KIM-1) might serve as a marker of acute kidney tubular injury. Our study analyzed the levels of KIM-1 in the healthy population of different ages to explore the correlation between KIM-1 and age. Moreover, we constructed a model to predict kidney age. METHODS: A cross-sectional study was conducted by Huashan Hospital, Shanghai, China, between April 2020 and December 2020. KIM-1 and other kidney biomarkers were measured in 176 healthy individuals ranging from 26 to 91 years old. Statistical correlated analyses for urinary KIM-1, creatinine (uCREA), potassium (K), sodium (Na) and chlorine (Cl), plasmic renin, angiotensin-2 (AngII) and aldosterone (ALD), and serum microalbuminuria (MALB), β2-microglobulin (B2MG), cystatin C (CYSC), urea nitrogen (BUN), creatinine (CREA), and glucose (GLU) were performed to assess the correlation between age and kidney biomarkers. All variables were selected as independent variables for the prediction of age by multiple linear regression. RESULTS: KIM-1 positively correlated with age in kidney healthy people (r = 0.41, p < 0.05), whether among females (r = 0.51, p < 0.05) or males (r = 0.27, p < 0.05). It was much related to K (r = 0.34), B2MG (r = 0.28), and CL (r = 0.23). The predicted model was constructed with eGFR, Cl, ALD, CYSC, KIM-1, BUN, GLU and AngII, reaching an adjusted R(2) of 69.5% and a standard error of the estimated 7.84 years. CONCLUSION: The level of urinary KIM-1 increases with age in healthy people. The model constructed by KIM-1 and the other 7 biomarkers can predict kidney age in healthy people. Dove 2022-04-29 /pmc/articles/PMC9064178/ /pubmed/35518515 http://dx.doi.org/10.2147/IJGM.S361468 Text en © 2022 Peng et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Peng, Shanshan
Liu, Na
Wei, Kai
Li, Gang
Zou, Zheng
Liu, Tao
Shi, Meifang
Lv, Yuan
Lin, Yong
The Predicted Value of Kidney Injury Molecule-1 (KIM-1) in Healthy People
title The Predicted Value of Kidney Injury Molecule-1 (KIM-1) in Healthy People
title_full The Predicted Value of Kidney Injury Molecule-1 (KIM-1) in Healthy People
title_fullStr The Predicted Value of Kidney Injury Molecule-1 (KIM-1) in Healthy People
title_full_unstemmed The Predicted Value of Kidney Injury Molecule-1 (KIM-1) in Healthy People
title_short The Predicted Value of Kidney Injury Molecule-1 (KIM-1) in Healthy People
title_sort predicted value of kidney injury molecule-1 (kim-1) in healthy people
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9064178/
https://www.ncbi.nlm.nih.gov/pubmed/35518515
http://dx.doi.org/10.2147/IJGM.S361468
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