Identification of Cross-Species Shared Transcriptional Networks of Diabetic Nephropathy in Human and Mouse Glomeruli
Murine models are valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility. To define the molecular similarities and differences between human and murine DN, we performed a cross-sp...
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| Published in | Diabetes (New York, N.Y.) Vol. 62; no. 1; pp. 299 - 308 |
|---|---|
| Main Authors | , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Alexandria, VA
American Diabetes Association
01.01.2013
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0012-1797 1939-327X 1939-327X |
| DOI | 10.2337/db11-1667 |
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| Abstract | Murine models are valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility. To define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2, C57BLKS db/db, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared human–mouse cross-species glomerular transcriptional networks containing 143 (Human-DBA STZ), 97 (Human-BKS db/db), and 162 (Human-BKS eNOS−/− db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetes complications, such as elements of Janus kinase (JAK)/signal transducer and activator of transcription (STAT) and vascular endothelial growth factor receptor (VEGFR) signaling pathways. In addition, novel pathways not previously associated with DN and cross-species gene nodes and pathways unique to each of the human–mouse networks were discovered. The human–mouse shared glomerular transcriptional networks will assist DN researchers in selecting mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans. |
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| AbstractList | Murine models are valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility. To define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2, C57BLKS db/db, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared human-mouse cross-species glomerular transcriptional networks containing 143 (Human-DBA STZ), 97 (Human-BKS db/db), and 162 (Human-BKS [eNOS.sup.-/-] db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetes complications, such as elements of Janus kinase (JAK)/signal transducer and activator of transcription (STAT) and vascular endothelial growth factor receptor (VEGFR) signaling pathways. In addition, novel pathways not previously associated with DN and cross-species gene nodes and pathways unique to each of the human-mouse networks were discovered. The human-mouse shared glomerular transcriptional networks will assist DN researchers in selecting mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans. Diabetes 62:299-308, 2013 Murine models are valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility. To define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2, C57BLKS db/db, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared human-mouse cross-species glomerular transcriptional networks containing 143 (Human-DBA STZ), 97 (Human-BKS db/db), and 162 (Human-BKS eNOS(-/-) db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetes complications, such as elements of Janus kinase (JAK)/signal transducer and activator of transcription (STAT) and vascular endothelial growth factor receptor (VEGFR) signaling pathways. In addition, novel pathways not previously associated with DN and cross-species gene nodes and pathways unique to each of the human-mouse networks were discovered. The human-mouse shared glomerular transcriptional networks will assist DN researchers in selecting mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans.Murine models are valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility. To define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2, C57BLKS db/db, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared human-mouse cross-species glomerular transcriptional networks containing 143 (Human-DBA STZ), 97 (Human-BKS db/db), and 162 (Human-BKS eNOS(-/-) db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetes complications, such as elements of Janus kinase (JAK)/signal transducer and activator of transcription (STAT) and vascular endothelial growth factor receptor (VEGFR) signaling pathways. In addition, novel pathways not previously associated with DN and cross-species gene nodes and pathways unique to each of the human-mouse networks were discovered. The human-mouse shared glomerular transcriptional networks will assist DN researchers in selecting mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans. Murine models are valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility. To define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2, C57BLKS db/db, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared human–mouse cross-species glomerular transcriptional networks containing 143 (Human-DBA STZ), 97 (Human-BKS db/db), and 162 (Human-BKS eNOS−/− db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetes complications, such as elements of Janus kinase (JAK)/signal transducer and activator of transcription (STAT) and vascular endothelial growth factor receptor (VEGFR) signaling pathways. In addition, novel pathways not previously associated with DN and cross-species gene nodes and pathways unique to each of the human–mouse networks were discovered. The human–mouse shared glomerular transcriptional networks will assist DN researchers in selecting mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans. Murine models are valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility. To define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2, C57BLKS db/db, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared human–mouse cross-species glomerular transcriptional networks containing 143 (Human-DBA STZ), 97 (Human-BKS db/db), and 162 (Human-BKS eNOS−/− db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetes complications, such as elements of Janus kinase (JAK)/signal transducer and activator of transcription (STAT) and vascular endothelial growth factor receptor (VEGFR) signaling pathways. In addition, novel pathways not previously associated with DN and cross-species gene nodes and pathways unique to each of the human–mouse networks were discovered. The human–mouse shared glomerular transcriptional networks will assist DN researchers in selecting mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans. Murine models are valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility. To define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2, C57BLKS db/db, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared human-mouse cross-species glomerular transcriptional networks containing 143 (Human-DBA STZ), 97 (Human-BKS db/db), and 162 (Human-BKS eNOS(-/-) db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetes complications, such as elements of Janus kinase (JAK)/signal transducer and activator of transcription (STAT) and vascular endothelial growth factor receptor (VEGFR) signaling pathways. In addition, novel pathways not previously associated with DN and cross-species gene nodes and pathways unique to each of the human-mouse networks were discovered. The human-mouse shared glomerular transcriptional networks will assist DN researchers in selecting mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans. |
| Audience | Professional |
| Author | Harris, Raymond C. Weil, E. Jennifer Nair, Viji Hodgin, Jeffrey B. Randolph, Ann Patel, Jignesh M. Brosius, Frank C. Kretzler, Matthias Nelson, Robert G. Zhang, Hongyu Cavalcoli, James D. |
| Author_xml | – sequence: 1 givenname: Jeffrey B. surname: Hodgin fullname: Hodgin, Jeffrey B. organization: Department of Pathology, University of Michigan, Ann Arbor, Michigan – sequence: 2 givenname: Viji surname: Nair fullname: Nair, Viji organization: Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan – sequence: 3 givenname: Hongyu surname: Zhang fullname: Zhang, Hongyu organization: Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan – sequence: 4 givenname: Ann surname: Randolph fullname: Randolph, Ann organization: Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan – sequence: 5 givenname: Raymond C. surname: Harris fullname: Harris, Raymond C. organization: Department of Medicine, Vanderbilt University, Nashville, Tennessee – sequence: 6 givenname: Robert G. surname: Nelson fullname: Nelson, Robert G. organization: Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona – sequence: 7 givenname: E. Jennifer surname: Weil fullname: Weil, E. Jennifer organization: Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona – sequence: 8 givenname: James D. surname: Cavalcoli fullname: Cavalcoli, James D. organization: Department of Bioinformatics and Computational Medicine, University of Michigan, Ann Arbor, Michigan – sequence: 9 givenname: Jignesh M. surname: Patel fullname: Patel, Jignesh M. organization: Department of Computer Sciences, University of Wisconsin, Madison, Wisconsin – sequence: 10 givenname: Frank C. surname: Brosius fullname: Brosius, Frank C. organization: Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan – sequence: 11 givenname: Matthias surname: Kretzler fullname: Kretzler, Matthias organization: Department of Bioinformatics and Computational Medicine, University of Michigan, Ann Arbor, Michigan, Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27061676$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/23139354$$D View this record in MEDLINE/PubMed |
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| ContentType | Journal Article |
| Copyright | 2014 INIST-CNRS COPYRIGHT 2013 American Diabetes Association COPYRIGHT 2013 American Diabetes Association Copyright American Diabetes Association Jan 2013 2013 by the American Diabetes Association. 2013 |
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| Keywords | Endocrinopathy Kidney disease Human Concomitant disease Vertebrata Mammalia Urinary system disease Mouse Animal Diabetes mellitus Rodentia Diabetic nephropathy |
| Language | English |
| License | CC BY 4.0 Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details. cc-by-nc-nd |
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| References_xml | – volume: 15 start-page: 123 year: 2006 ident: 2022031210122375800_B3 article-title: Molecular approaches to chronic kidney disease publication-title: Curr Opin Nephrol Hypertens doi: 10.1097/01.mnh.0000214770.11609.fb – volume: 4 start-page: e4702 year: 2009 ident: 2022031210122375800_B15 article-title: Transcript-specific expression profiles derived from sequence-based analysis of standard microarrays publication-title: PLoS ONE doi: 10.1371/journal.pone.0004702 – volume: 65 start-page: 904 year: 2004 ident: 2022031210122375800_B12 article-title: Gene expression fingerprints in human tubulointerstitial inflammation and fibrosis as prognostic markers of disease progression publication-title: Kidney Int doi: 10.1111/j.1523-1755.2004.00499.x – volume: 49 start-page: S12 year: 2007 ident: 2022031210122375800_B5 publication-title: Am J Kidney Dis doi: 10.1053/j.ajkd.2006.12.005 – volume: 5 start-page: 51 year: 2010 ident: 2022031210122375800_B4 article-title: Abnormalities in signaling pathways in diabetic nephropathy publication-title: Expert Rev Endocrinol Metab doi: 10.1586/eem.09.70 – volume: 299 start-page: F91 year: 2010 ident: 2022031210122375800_B8 article-title: Podocyte-specific overexpression of GLUT1 surprisingly reduces mesangial matrix expansion in diabetic nephropathy in mice publication-title: Am J Physiol Renal Physiol doi: 10.1152/ajprenal.00021.2010 – volume: 25 start-page: 402 year: 2001 ident: 2022031210122375800_B14 article-title: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method publication-title: Methods doi: 10.1006/meth.2001.1262 – volume: 52 start-page: 1031 year: 2003 ident: 2022031210122375800_B24 article-title: Is podocyte injury relevant in diabetic nephropathy? 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| SubjectTerms | Adult Animals Associated diseases and complications Biological and medical sciences Biopsy Care and treatment Cellular signal transduction Clinical trials Diabetes Diabetes Mellitus, Experimental - genetics Diabetes. Impaired glucose tolerance Diabetic nephropathies Diabetic Nephropathies - genetics Diabetic nephropathy Diagnosis Endocrine pancreas. Apud cells (diseases) Endocrinopathies Etiopathogenesis. Screening. Investigations. Target tissue resistance Gene expression Gene Regulatory Networks Genetic aspects Genetic engineering Genetic transcription Genetics/Genomes/Proteomics/Metabolomics Genomes Glomeruli Humans Janus Kinases - physiology Kidney glomerulus Kidney Glomerulus - metabolism Kidneys Kinases Medical sciences Mice Mice, Inbred C57BL Mice, Inbred DBA Middle Aged Nephrology. Urinary tract diseases Pathogenesis Real-Time Polymerase Chain Reaction Species Specificity STAT Transcription Factors - physiology Streptozocin Transcription (Genetics) Urinary system involvement in other diseases. Miscellaneous |
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| Title | Identification of Cross-Species Shared Transcriptional Networks of Diabetic Nephropathy in Human and Mouse Glomeruli |
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