Literature DB >> 29580584

The Promise of Systems Biology for Diabetic Kidney Disease.

Frank C Brosius1, Wenjun Ju2.   

Abstract

Diabetic kidney disease (DKD) has a complex and prolonged pathogenesis involving many cell types in the kidney as well as extrarenal factors. It is clinically silent for many years after the onset of diabetes and usually progresses over decades. Given this complexity, a comprehensive and unbiased molecular approach is best suited to help identify the most critical mechanisms responsible for progression of DKD and those most suited for targeted intervention. Systems biological investigations provide such an approach since they examine the entire network of molecular changes that occur in a disease process in a comprehensive way instead of focusing on a single abnormal molecule or pathway. Systems biological studies can also start with analysis of the disease in humans, not in animal or cell culture models that often poorly reproduce the changes in human DKD. Indeed, in the last decade, systems biological approaches have led to the identification of critical molecular abnormalities in DKD and have directly led to development of new biomarkers and potential treatments for DKD.
Copyright © 2017 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diabetes; Epidermal growth factor; Metabolomics; Proteomics; Transcriptomics

Mesh:

Substances:

Year:  2018        PMID: 29580584      PMCID: PMC5877319          DOI: 10.1053/j.ackd.2017.10.012

Source DB:  PubMed          Journal:  Adv Chronic Kidney Dis        ISSN: 1548-5595            Impact factor:   3.620


  106 in total

1.  Levels of NT-proBNP, markers of low-grade inflammation, and endothelial dysfunction during spironolactone treatment in patients with diabetic kidney disease.

Authors:  Stine E Nielsen; Katrine J Schjoedt; Kasper Rossing; Frederik Persson; Casper G Schalkwijk; Coen D A Stehouwer; Hans-Henrik Parving; Peter Rossing
Journal:  J Renin Angiotensin Aldosterone Syst       Date:  2012-10-29       Impact factor: 1.636

2.  Circulating TNF receptors 1 and 2 predict ESRD in type 2 diabetes.

Authors:  Monika A Niewczas; Tomohito Gohda; Jan Skupien; Adam M Smiles; William H Walker; Florencia Rosetti; Xavier Cullere; John H Eckfeldt; Alessandro Doria; Tanya N Mayadas; James H Warram; Andrzej S Krolewski
Journal:  J Am Soc Nephrol       Date:  2012-01-19       Impact factor: 10.121

3.  Circulating α-klotho levels in CKD and relationship to progression.

Authors:  Hyoung Rae Kim; Bo Young Nam; Dong Wook Kim; Min Woong Kang; Jae-Hyun Han; Mi Jung Lee; Dong Ho Shin; Fa Mee Doh; Hyang Mo Koo; Kwang Il Ko; Chan Ho Kim; Hyung Jung Oh; Tae-Hyun Yoo; Shin-Wook Kang; Dae Suk Han; Seung Hyeok Han
Journal:  Am J Kidney Dis       Date:  2013-03-27       Impact factor: 8.860

4.  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

5.  Identification of diabetic nephropathy-selective proteins in human plasma by multi-lectin affinity chromatography and LC-MS/MS.

Authors:  Jung-Mo Ahn; Byung-Gyu Kim; Myong-Hee Yu; In-Kyu Lee; Je-Yoel Cho
Journal:  Proteomics Clin Appl       Date:  2010-03-24       Impact factor: 3.494

Review 6.  Genome-wide studies to identify risk factors for kidney disease with a focus on patients with diabetes.

Authors:  Florina Regele; Kira Jelencsics; Dov Shiffman; Guillaume Paré; Matthew J McQueen; Johannes F E Mann; Rainer Oberbauer
Journal:  Nephrol Dial Transplant       Date:  2015-08       Impact factor: 5.992

Review 7.  Early detection of diabetic kidney disease: Present limitations and future perspectives.

Authors:  Chih-Hung Lin; Yi-Cheng Chang; Lee-Ming Chuang
Journal:  World J Diabetes       Date:  2016-07-25

8.  Urinary monocyte chemoattractant protein-1 (MCP-1) and connective tissue growth factor (CCN2) as prognostic markers for progression of diabetic nephropathy.

Authors:  Frederick W K Tam; Bruce L Riser; Karim Meeran; JoAnn Rambow; Charles D Pusey; Andrew H Frankel
Journal:  Cytokine       Date:  2009-05-05       Impact factor: 3.861

9.  A prospective study of multiple protein biomarkers to predict progression in diabetic chronic kidney disease.

Authors:  Rajiv Agarwal; Kevin L Duffin; Dennis A Laska; James R Voelker; Matthew D Breyer; Peter G Mitchell
Journal:  Nephrol Dial Transplant       Date:  2014-08-01       Impact factor: 5.992

10.  Uremic solutes and risk of end-stage renal disease in type 2 diabetes: metabolomic study.

Authors:  Monika A Niewczas; Tammy L Sirich; Anna V Mathew; Jan Skupien; Robert P Mohney; James H Warram; Adam Smiles; Xiaoping Huang; Walker Walker; Jaeman Byun; Edward D Karoly; Elizabeth M Kensicki; Gerard T Berry; Joseph V Bonventre; Subramaniam Pennathur; Timothy W Meyer; Andrzej S Krolewski
Journal:  Kidney Int       Date:  2014-01-15       Impact factor: 10.612

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  5 in total

1.  Connectivity Mapping Identifies BI-2536 as a Potential Drug to Treat Diabetic Kidney Disease.

Authors:  Lu Zhang; Zichen Wang; Ruijie Liu; Zhengzhe Li; Jennifer Lin; Megan L Wojciechowicz; Jiyi Huang; Kyung Lee; Avi Ma'ayan; John Cijiang He
Journal:  Diabetes       Date:  2020-10-16       Impact factor: 9.461

Review 2.  Implementing personalized medicine in diabetic kidney disease: Stakeholders' perspectives.

Authors:  Jeroen K de Vries; Adeera Levin; Fiona Loud; Amanda Adler; Gert Mayer; Michelle J Pena
Journal:  Diabetes Obes Metab       Date:  2018-10       Impact factor: 6.577

3.  Clinical and multi-omics cross-phenotyping of patients with autoimmune and autoinflammatory diseases: the observational TRANSIMMUNOM protocol.

Authors:  Roberta Lorenzon; Encarnita Mariotti-Ferrandiz; Caroline Aheng; Claire Ribet; Ferial Toumi; Fabien Pitoiset; Wahiba Chaara; Nicolas Derian; Catherine Johanet; Iannis Drakos; Sophie Harris; Serge Amselem; Francis Berenbaum; Olivier Benveniste; Bahram Bodaghi; Patrice Cacoub; Gilles Grateau; Chloe Amouyal; Agnes Hartemann; David Saadoun; Jeremie Sellam; Philippe Seksik; Harry Sokol; Joe-Elie Salem; Eric Vicaut; Adrien Six; Michelle Rosenzwajg; Claude Bernard; David Klatzmann
Journal:  BMJ Open       Date:  2018-08-30       Impact factor: 2.692

4.  Systems biology and machine learning approaches identify drug targets in diabetic nephropathy.

Authors:  Maryam Abedi; Hamid Reza Marateb; Mohammad Reza Mohebian; Seyed Hamid Aghaee-Bakhtiari; Seyed Mahdi Nassiri; Yousof Gheisari
Journal:  Sci Rep       Date:  2021-12-06       Impact factor: 4.379

Review 5.  Integrative Biology of Diabetic Retinal Disease: Lessons from Diabetic Kidney Disease.

Authors:  Warren W Pan; Thomas W Gardner; Jennifer L Harder
Journal:  J Clin Med       Date:  2021-03-18       Impact factor: 4.241

  5 in total

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