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 inDiabetes (New York, N.Y.) Vol. 62; no. 1; pp. 299 - 308
Main Authors Hodgin, Jeffrey B., Nair, Viji, Zhang, Hongyu, Randolph, Ann, Harris, Raymond C., Nelson, Robert G., Weil, E. Jennifer, Cavalcoli, James D., Patel, Jignesh M., Brosius, Frank C., Kretzler, Matthias
Format Journal Article
LanguageEnglish
Published Alexandria, VA American Diabetes Association 01.01.2013
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Online AccessGet full text
ISSN0012-1797
1939-327X
1939-327X
DOI10.2337/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.
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
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  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
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  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
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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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Issue 1
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.
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J.B.H. and V.N. contributed equally to this study.
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PublicationTitle Diabetes (New York, N.Y.)
PublicationTitleAlternate Diabetes
PublicationYear 2013
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Snippet Murine models are valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations...
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StartPage 299
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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