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Identification of biomarkers of chronic kidney disease among kidney-derived proteins

BACKGROUND: Chronic kidney disease (CKD) has few objective symptoms, and it is difficult to make an early diagnosis by using existing methods. Therefore, new biomarkers enabling diagnosis of renal dysfunction at an early stage need to be developed. Here, we searched for new biomarkers of CKD by focu...

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Autores principales: Higashisaka, Kazuma, Takeya, Sonoko, Kamada, Haruhiko, Obana, Masanori, Maeda, Makiko, Kabayama, Mai, Yamamoto, Koichi, Ishida, Nanan, Isaka, Ryo, Tsujino, Hirofumi, Nagano, Kazuya, Tomiyama, Noriyuki, Rakugi, Hiromi, Fujio, Yasushi, Kamide, Kei, Tsutsumi, Yasuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903635/
https://www.ncbi.nlm.nih.gov/pubmed/35016606
http://dx.doi.org/10.1186/s12014-021-09340-y
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author Higashisaka, Kazuma
Takeya, Sonoko
Kamada, Haruhiko
Obana, Masanori
Maeda, Makiko
Kabayama, Mai
Yamamoto, Koichi
Ishida, Nanan
Isaka, Ryo
Tsujino, Hirofumi
Nagano, Kazuya
Tomiyama, Noriyuki
Rakugi, Hiromi
Fujio, Yasushi
Kamide, Kei
Tsutsumi, Yasuo
author_facet Higashisaka, Kazuma
Takeya, Sonoko
Kamada, Haruhiko
Obana, Masanori
Maeda, Makiko
Kabayama, Mai
Yamamoto, Koichi
Ishida, Nanan
Isaka, Ryo
Tsujino, Hirofumi
Nagano, Kazuya
Tomiyama, Noriyuki
Rakugi, Hiromi
Fujio, Yasushi
Kamide, Kei
Tsutsumi, Yasuo
author_sort Higashisaka, Kazuma
collection PubMed
description BACKGROUND: Chronic kidney disease (CKD) has few objective symptoms, and it is difficult to make an early diagnosis by using existing methods. Therefore, new biomarkers enabling diagnosis of renal dysfunction at an early stage need to be developed. Here, we searched for new biomarkers of CKD by focusing on kidney-derived proteins that could sensitively reflect that organ’s disease state. METHODS: To identify candidate marker proteins, we performed a proteomics analysis on renal influx and efflux blood collected from the same individual. RESULTS: Proteomics analysis revealed 662 proteins in influx blood and 809 in efflux. From these identified proteins, we selected complement C1q as a candidate; the plasma C1q level was significantly elevated in the renal efflux of donors. Moreover, the plasma concentration of C1q in a mouse model of diabetic nephropathy was significantly increased, in association with increases in blood glucose concentration and urinary protein content. Importantly, we demonstrated that the tendency of C1q to increase in the plasma of CKD patients was correlated with a decrease in their estimated glomerular filtration rate. CONCLUSION: Overall, our results indicate that our approach of focusing on kidney-derived proteins is useful for identifying new CKD biomarkers and that C1q has potential as a biomarker of renal function. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12014-021-09340-y.
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spelling pubmed-89036352022-03-23 Identification of biomarkers of chronic kidney disease among kidney-derived proteins Higashisaka, Kazuma Takeya, Sonoko Kamada, Haruhiko Obana, Masanori Maeda, Makiko Kabayama, Mai Yamamoto, Koichi Ishida, Nanan Isaka, Ryo Tsujino, Hirofumi Nagano, Kazuya Tomiyama, Noriyuki Rakugi, Hiromi Fujio, Yasushi Kamide, Kei Tsutsumi, Yasuo Clin Proteomics Research BACKGROUND: Chronic kidney disease (CKD) has few objective symptoms, and it is difficult to make an early diagnosis by using existing methods. Therefore, new biomarkers enabling diagnosis of renal dysfunction at an early stage need to be developed. Here, we searched for new biomarkers of CKD by focusing on kidney-derived proteins that could sensitively reflect that organ’s disease state. METHODS: To identify candidate marker proteins, we performed a proteomics analysis on renal influx and efflux blood collected from the same individual. RESULTS: Proteomics analysis revealed 662 proteins in influx blood and 809 in efflux. From these identified proteins, we selected complement C1q as a candidate; the plasma C1q level was significantly elevated in the renal efflux of donors. Moreover, the plasma concentration of C1q in a mouse model of diabetic nephropathy was significantly increased, in association with increases in blood glucose concentration and urinary protein content. Importantly, we demonstrated that the tendency of C1q to increase in the plasma of CKD patients was correlated with a decrease in their estimated glomerular filtration rate. CONCLUSION: Overall, our results indicate that our approach of focusing on kidney-derived proteins is useful for identifying new CKD biomarkers and that C1q has potential as a biomarker of renal function. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12014-021-09340-y. BioMed Central 2022-01-11 /pmc/articles/PMC8903635/ /pubmed/35016606 http://dx.doi.org/10.1186/s12014-021-09340-y 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Higashisaka, Kazuma
Takeya, Sonoko
Kamada, Haruhiko
Obana, Masanori
Maeda, Makiko
Kabayama, Mai
Yamamoto, Koichi
Ishida, Nanan
Isaka, Ryo
Tsujino, Hirofumi
Nagano, Kazuya
Tomiyama, Noriyuki
Rakugi, Hiromi
Fujio, Yasushi
Kamide, Kei
Tsutsumi, Yasuo
Identification of biomarkers of chronic kidney disease among kidney-derived proteins
title Identification of biomarkers of chronic kidney disease among kidney-derived proteins
title_full Identification of biomarkers of chronic kidney disease among kidney-derived proteins
title_fullStr Identification of biomarkers of chronic kidney disease among kidney-derived proteins
title_full_unstemmed Identification of biomarkers of chronic kidney disease among kidney-derived proteins
title_short Identification of biomarkers of chronic kidney disease among kidney-derived proteins
title_sort identification of biomarkers of chronic kidney disease among kidney-derived proteins
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903635/
https://www.ncbi.nlm.nih.gov/pubmed/35016606
http://dx.doi.org/10.1186/s12014-021-09340-y
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