Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784664782504198144 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8903635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT higashisakakazuma identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT takeyasonoko identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT kamadaharuhiko identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT obanamasanori identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT maedamakiko identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT kabayamamai identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT yamamotokoichi identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT ishidananan identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT isakaryo identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT tsujinohirofumi identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT naganokazuya identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT tomiyamanoriyuki identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT rakugihiromi identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT fujioyasushi identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT kamidekei identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins AT tsutsumiyasuo identificationofbiomarkersofchronickidneydiseaseamongkidneyderivedproteins |