Literature DB >> 35618095

Results of untargeted analysis using the SOMAscan proteomics platform indicates novel associations of circulating proteins with risk of progression to kidney failure in diabetes.

Hiroki Kobayashi1, Helen C Looker2, Eiichiro Satake3, Pierre Jean Saulnier4, Zaipul I Md Dom3, Kristina O'Neil5, Katsuhito Ihara3, Bozena Krolewski3, Andrzej T Galecki6, Monika A Niewczas3, Jonathan M Wilson7, Alessandro Doria3, Kevin L Duffin7, Robert G Nelson8, Andrzej S Krolewski9.   

Abstract

This study applies a large proteomics panel to search for new circulating biomarkers associated with progression to kidney failure in individuals with diabetic kidney disease. Four independent cohorts encompassing 754 individuals with type 1 and type 2 diabetes and early and late diabetic kidney disease were followed to ascertain progression to kidney failure. During ten years of follow-up, 227 of 754 individuals progressed to kidney failure. Using the SOMAscan proteomics platform, we measured baseline concentration of 1129 circulating proteins. In our previous publications, we analyzed 334 of these proteins that were members of specific candidate pathways involved in diabetic kidney disease and found 35 proteins strongly associated with risk of progression to kidney failure. Here, we examined the remaining 795 proteins using an untargeted approach. Of these remaining proteins, 11 were significantly associated with progression to kidney failure. Biological processes previously reported for these proteins were related to neuron development (DLL1, MATN2, NRX1B, KLK8, RTN4R and ROR1) and were implicated in the development of kidney fibrosis (LAYN, DLL1, MAPK11, MATN2, endostatin, and ROR1) in cellular and animal studies. Specific mechanisms that underlie involvement of these proteins in progression of diabetic kidney disease must be further investigated to assess their value as targets for kidney-protective therapies. Using multivariable LASSO regression analysis, five proteins (LAYN, ESAM, DLL1, MAPK11 and endostatin) were found independently associated with risk of progression to kidney failure. Thus, our study identified proteins that may be considered as new candidate prognostic biomarkers to predict risk of progression to kidney failure in diabetic kidney disease. Furthermore, three of these proteins (DLL1, ESAM, and MAPK11) were selected as candidate biomarkers when all SOMAscan results were evaluated.
Copyright © 2022 International Society of Nephrology. All rights reserved.

Entities:  

Keywords:  circulating biomarker; diabetes; diabetic kidney disease; end-stage kidney disease; proteomics analysis

Mesh:

Substances:

Year:  2022        PMID: 35618095      PMCID: PMC9333266          DOI: 10.1016/j.kint.2022.04.022

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   18.998


  36 in total

1.  Expression of Notch pathway proteins correlates with albuminuria, glomerulosclerosis, and renal function.

Authors:  Mariana Murea; Jun-Ki Park; Shuchita Sharma; Hideki Kato; Antje Gruenwald; Thiruvur Niranjan; Han Si; David B Thomas; James M Pullman; Michal L Melamed; Katalin Susztak
Journal:  Kidney Int       Date:  2010-06-09       Impact factor: 10.612

Review 2.  The role of sympathetic nervous system in the progression of chronic kidney disease in the era of catheter based sympathetic renal denervation.

Authors:  Dimitrios Petras; Konstantinos Koutroutsos; Athanasios Kordalis; Costas Tsioufis; Christodoulos Stefanadis
Journal:  Curr Clin Pharmacol       Date:  2013-08

3.  mDll1 and mDll3 expression in the developing mouse brain: role in the establishment of the early cortex.

Authors:  L S Campos; A J Duarte; T Branco; D Henrique
Journal:  J Neurosci Res       Date:  2001-06-15       Impact factor: 4.164

4.  Endothelial cell-selective adhesion molecule regulates albuminuria in diabetic nephropathy.

Authors:  Tetsuya Hara; Tatsuro Ishida; Husni M Cangara; Ken-ichi Hirata
Journal:  Microvasc Res       Date:  2009-01-24       Impact factor: 3.514

5.  Roles of layilin in TNF-α-induced epithelial-mesenchymal transformation of renal tubular epithelial cells.

Authors:  Takayuki Adachi; Mitsumi Arito; Naoya Suematsu; Atsuko Kamijo-Ikemori; Kazuki Omoteyama; Toshiyuki Sato; Manae S Kurokawa; Kazuki Okamoto; Kenjiro Kimura; Yugo Shibagaki; Tomohiro Kato
Journal:  Biochem Biophys Res Commun       Date:  2015-09-26       Impact factor: 3.575

6.  The signaling protein Wnt5a promotes TGFβ1-mediated macrophage polarization and kidney fibrosis by inducing the transcriptional regulators Yap/Taz.

Authors:  Ye Feng; Yan Liang; Xingwen Zhu; Mingjie Wang; Yuan Gui; Qingmiao Lu; Mengru Gu; Xian Xue; Xiaoli Sun; Weichun He; Junwei Yang; Randy L Johnson; Chunsun Dai
Journal:  J Biol Chem       Date:  2018-10-17       Impact factor: 5.157

7.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

8.  The role of the p38 MAPK signaling pathway in high glucose-induced epithelial-mesenchymal transition of cultured human renal tubular epithelial cells.

Authors:  Zhi-Mei Lv; Qun Wang; Qiang Wan; Jian-Gong Lin; Meng-Si Hu; You-Xia Liu; Rong Wang
Journal:  PLoS One       Date:  2011-07-29       Impact factor: 3.240

9.  Effect of losartan on prevention and progression of early diabetic nephropathy in American Indians with type 2 diabetes.

Authors:  E Jennifer Weil; Gudeta Fufaa; Lois I Jones; Tracy Lovato; Kevin V Lemley; Robert L Hanson; William C Knowler; Peter H Bennett; Berne Yee; Bryan D Myers; Robert G Nelson
Journal:  Diabetes       Date:  2013-04-01       Impact factor: 9.461

10.  Layilin, a novel talin-binding transmembrane protein homologous with C-type lectins, is localized in membrane ruffles.

Authors:  M L Borowsky; R O Hynes
Journal:  J Cell Biol       Date:  1998-10-19       Impact factor: 10.539

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