Literature DB >> 28159781

Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.

Julie A D Van1, James W Scholey2,3, Ana Konvalinka2,3.   

Abstract

A number of proteomic and peptidomic analyses of urine from diabetic subjects have been published in the quest for a biomarker that predicts progression of nephropathy. Less attention has been paid to the relationships between urinary proteins and the underlying biological processes revealed by the analyses. In this review, we focus on the biological processes identified by studying urinary proteins and protein-protein interactions at each stage of diabetic nephropathy to provide an overview of the events underlying progression of kidney disease reflected in the urine. In uncomplicated diabetes, proteomic/peptidomic analyses indicate that early activation of fibrotic pathways in the kidney occurs before the onset of microalbuminuria. In incipient nephropathy, when albumin excretion rates are abnormal, proteomic/peptidomic analyses suggest that changes in glomerular permselectivity and tubular reabsorption account, at least in part, for the proteins and peptides that appear in the urine. Finally, overt nephropathy is characterized by proteins involved in wound healing, ongoing fibrosis, and inflammation. These findings suggest that there is a spectrum of biological processes in the diabetic kidney and that assessing protein networks may be more informative than individual markers with respect to the stage of disease and the risk of progression.
Copyright © 2017 by the American Society of Nephrology.

Entities:  

Keywords:  bioinformatics; diabetic kidney disease; urinary proteomics

Mesh:

Year:  2017        PMID: 28159781      PMCID: PMC5373465          DOI: 10.1681/ASN.2016091018

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  72 in total

1.  Proteomics. Tissue-based map of the human proteome.

Authors:  Mathias Uhlén; Linn Fagerberg; Björn M Hallström; Cecilia Lindskog; Per Oksvold; Adil Mardinoglu; Åsa Sivertsson; Caroline Kampf; Evelina Sjöstedt; Anna Asplund; IngMarie Olsson; Karolina Edlund; Emma Lundberg; Sanjay Navani; Cristina Al-Khalili Szigyarto; Jacob Odeberg; Dijana Djureinovic; Jenny Ottosson Takanen; Sophia Hober; Tove Alm; Per-Henrik Edqvist; Holger Berling; Hanna Tegel; Jan Mulder; Johan Rockberg; Peter Nilsson; Jochen M Schwenk; Marica Hamsten; Kalle von Feilitzen; Mattias Forsberg; Lukas Persson; Fredric Johansson; Martin Zwahlen; Gunnar von Heijne; Jens Nielsen; Fredrik Pontén
Journal:  Science       Date:  2015-01-23       Impact factor: 47.728

2.  Regression of microalbuminuria in type 1 diabetes is associated with lower levels of urinary tubular injury biomarkers, kidney injury molecule-1, and N-acetyl-β-D-glucosaminidase.

Authors:  Vishal S Vaidya; Monika A Niewczas; Linda H Ficociello; Amanda C Johnson; Fitz B Collings; James H Warram; Andrzej S Krolewski; Joseph V Bonventre
Journal:  Kidney Int       Date:  2010-10-27       Impact factor: 10.612

3.  Proximal tubular basement membrane width in insulin-dependent diabetes mellitus.

Authors:  P L Brito; P Fioretto; K Drummond; Y Kim; M W Steffes; J M Basgen; S Sisson-Ross; M Mauer
Journal:  Kidney Int       Date:  1998-03       Impact factor: 10.612

4.  Glucose-dependent regulation of cholesterol ester metabolism in macrophages by insulin and leptin.

Authors:  Lisa O'Rourke; Line M Gronning; Stephen J Yeaman; Peter R Shepherd
Journal:  J Biol Chem       Date:  2002-08-27       Impact factor: 5.157

5.  Abnormal angiogenesis in diabetic nephropathy.

Authors:  Takahiko Nakagawa; Tomoki Kosugi; Masakazu Haneda; Christopher J Rivard; David A Long
Journal:  Diabetes       Date:  2009-07       Impact factor: 9.461

6.  Enrichment map: a network-based method for gene-set enrichment visualization and interpretation.

Authors:  Daniele Merico; Ruth Isserlin; Oliver Stueker; Andrew Emili; Gary D Bader
Journal:  PLoS One       Date:  2010-11-15       Impact factor: 3.240

Review 7.  Albumin transport and processing by the proximal tubule: physiology and pathophysiology.

Authors:  Carol A Pollock; Philip Poronnik
Journal:  Curr Opin Nephrol Hypertens       Date:  2007-07       Impact factor: 2.894

8.  Characterization of the human urinary proteome: a method for high-resolution display of urinary proteins on two-dimensional electrophoresis gels with a yield of nearly 1400 distinct protein spots.

Authors:  Rembert Pieper; Christine L Gatlin; Andrew M McGrath; Anthony J Makusky; Madhu Mondal; Michael Seonarain; Erin Field; Courtney R Schatz; Marla A Estock; Nasir Ahmed; Norman G Anderson; Sandra Steiner
Journal:  Proteomics       Date:  2004-04       Impact factor: 3.984

9.  Differential proteome profiling using iTRAQ in microalbuminuric and normoalbuminuric type 2 diabetic patients.

Authors:  Jonghwa Jin; Yun Hyi Ku; Yikwon Kim; Yeonjung Kim; Kyunggon Kim; Ji Yoon Lee; Young Min Cho; Hong Kyu Lee; Kyong Soo Park; Youngsoo Kim
Journal:  Exp Diabetes Res       Date:  2012-03-27

10.  Early progressive renal decline precedes the onset of microalbuminuria and its progression to macroalbuminuria.

Authors:  Andrzej S Krolewski; Monika A Niewczas; Jan Skupien; Tomhito Gohda; Adam Smiles; Jon H Eckfeldt; Alessandro Doria; James H Warram
Journal:  Diabetes Care       Date:  2013-08-12       Impact factor: 19.112

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  37 in total

1.  Clinicopathological analysis of biopsy-proven diabetic nephropathy based on the Japanese classification of diabetic nephropathy.

Authors:  Kengo Furuichi; Miho Shimizu; Yukio Yuzawa; Akinori Hara; Tadashi Toyama; Hiroshi Kitamura; Yoshiki Suzuki; Hiroshi Sato; Noriko Uesugi; Yoshifumi Ubara; Junichi Hohino; Satoshi Hisano; Yoshihiko Ueda; Shinichi Nishi; Hitoshi Yokoyama; Tomoya Nishino; Kentaro Kohagura; Daisuke Ogawa; Koki Mise; Yugo Shibagaki; Hirofumi Makino; Seiichi Matsuo; Takashi Wada
Journal:  Clin Exp Nephrol       Date:  2017-10-27       Impact factor: 2.801

2.  Peptidomic Analysis of Urine from Youths with Early Type 1 Diabetes Reveals Novel Bioactivity of Uromodulin Peptides In Vitro.

Authors:  Julie A D Van; Sergi Clotet-Freixas; Joyce Zhou; Ihor Batruch; Chunxiang Sun; Michael Glogauer; Luca Rampoldi; Yesmino Elia; Farid H Mahmud; Etienne Sochett; Eleftherios P Diamandis; James W Scholey; Ana Konvalinka
Journal:  Mol Cell Proteomics       Date:  2019-12-26       Impact factor: 5.911

3.  Prospective associations of circulating adipocyte fatty acid-binding protein levels with risks of renal outcomes and mortality in type 2 diabetes.

Authors:  Chi Ho Lee; Chloe Y Y Cheung; Yu Cho Woo; David T W Lui; Michele M A Yuen; Carol H Y Fong; Wing Sun Chow; Amin Xu; Karen S L Lam
Journal:  Diabetologia       Date:  2018-09-28       Impact factor: 10.122

Review 4.  Role of Kidney Biopsies for Biomarker Discovery in Diabetic Kidney Disease.

Authors:  Helen C Looker; Michael Mauer; Robert G Nelson
Journal:  Adv Chronic Kidney Dis       Date:  2018-03       Impact factor: 3.620

Review 5.  The Promise of Systems Biology for Diabetic Kidney Disease.

Authors:  Frank C Brosius; Wenjun Ju
Journal:  Adv Chronic Kidney Dis       Date:  2018-03       Impact factor: 3.620

Review 6.  How Omics Data Can Be Used in Nephrology.

Authors:  Eugene P Rhee
Journal:  Am J Kidney Dis       Date:  2018-02-23       Impact factor: 8.860

7.  The unique molecular mechanism of diabetic nephropathy: a bioinformatics analysis of over 250 microarray datasets.

Authors:  Le-Ting Zhou; Zhi-Jian Zhang; Jing-Yuan Cao; Hanzhi Chen; Yu-Shan Zhu; Xi Wu; Abdul Qadir Nawabi; Xiaobin Liu; Weiwei Shan; Yue Zhang; Xi-Ran Zhang; Jing Xue; Ling Hu; Si-Si Wang; Liang Wang; Zhu-Xing Sun
Journal:  Clin Kidney J       Date:  2021-03-18

8.  Higher prevalence of incidental findings identified upon coronary calcium score assessment in type 2 and type 3 diabetes versus type 1 diabetes.

Authors:  Mélanie Gaudillière; Charlotte Marsot; Laetitia Balaire; Laure Groisne; Myriam Moret; Sylvie Villar-Fimbel; Philippe Douek; Philippe Moulin; Sybil Charrière
Journal:  PLoS One       Date:  2021-05-24       Impact factor: 3.240

9.  Kidney iron deposition by R2* is associated with haemolysis and urinary iron.

Authors:  Christopher C Denton; Jon A Detterich; Thomas D Coates; John C Wood
Journal:  Br J Haematol       Date:  2020-11-20       Impact factor: 6.998

Review 10.  Urinary Extracellular Vesicles for Diabetic Kidney Disease Diagnosis.

Authors:  Goren Saenz-Pipaon; Saioa Echeverria; Josune Orbe; Carmen Roncal
Journal:  J Clin Med       Date:  2021-05-11       Impact factor: 4.241

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