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Zhang H, Nair V, Saha J, Atkins KB, Hodgin JB, Saunders TL, Myers MG, Werner T, Kretzler M, Brosius FC. Podocyte-specific JAK2 overexpression worsens diabetic kidney disease in mice. Kidney Int 2017; 92:909-921. [PMID: 28554737 PMCID: PMC5610635 DOI: 10.1016/j.kint.2017.03.027] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 03/03/2017] [Accepted: 03/09/2017] [Indexed: 01/11/2023]
Abstract
Activation of JAK-STAT signaling has been implicated in the pathogenesis of diabetic kidney disease. An increased expression of JAK-STAT genes was found in kidney glomerular cells, including podocytes, in patients with early diabetic kidney disease. However, it is not known whether increased expression of JAK or STAT isoforms in glomerular cells can lead to worsening nephropathy in the setting of diabetes. Therefore, we overexpressed JAK2 mRNA specifically in glomerular podocytes of 129S6 mice to determine whether this change alone could worsen diabetic kidney disease. A 2-3 fold increase in glomerular JAK2 expression, an increase similar to that found in humans with early diabetic kidney disease, led to substantial and statistically significant increases in albuminuria, mesangial expansion, glomerulosclerosis, glomerular fibronectin accumulation, and glomerular basement membrane thickening, and a significant reduction in podocyte density in diabetic mice. Treatment with a specific JAK1/2 inhibitor for 2 weeks partly reversed the major phenotypic changes of diabetic kidney disease and specifically normalized expression of a number of downstream STAT3-dependent genes implicated in diabetic kidney disease progression. Thus, moderate increases in podocyte JAK2 expression at levels similar to those in patients with early diabetic kidney disease can lead directly to phenotypic and other alterations of progressive diabetic glomerulopathy. Hence, inhibition of these changes by treatment with a JAK1/2 inhibitor suggests that such treatment may help retard progression of early diabetic kidney disease in patients.
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Affiliation(s)
- Hongyu Zhang
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Viji Nair
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Jharna Saha
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Kevin B Atkins
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Jeffrey B Hodgin
- Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Thomas L Saunders
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA; Transgenic Animal Model Core, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Martin G Myers
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA; Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Thomas Werner
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Matthias Kretzler
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Frank C Brosius
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA; Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
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Hua YL, Ji P, Xue ZY, Wei YM. Construction and analysis of correlation networks based on gas chromatography-mass spectrometry metabonomics data for lipopolysaccharide-induced inflammation and intervention with volatile oil from Angelica sinensis in rats. MOLECULAR BIOSYSTEMS 2015; 11:3174-87. [DOI: 10.1039/c5mb00405e] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Angelica sinensis (AS) is a well-known important traditional Chinese medicine that yields a volatile oil with anti-inflammatory effects.
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Affiliation(s)
- Yong-li Hua
- College of Veterinary Medicine
- Gansu Agricultural University
- Lanzhou
- People's Republic of China
| | - Peng Ji
- College of Veterinary Medicine
- Gansu Agricultural University
- Lanzhou
- People's Republic of China
| | - Zi-yu Xue
- College of Veterinary Medicine
- Gansu Agricultural University
- Lanzhou
- People's Republic of China
| | - Yan-ming Wei
- College of Veterinary Medicine
- Gansu Agricultural University
- Lanzhou
- People's Republic of China
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Martini S, Nair V, Patel SR, Eichinger F, Nelson RG, Weil EJ, Pezzolesi MG, Krolewski AS, Randolph A, Keller BJ, Werner T, Kretzler M. From single nucleotide polymorphism to transcriptional mechanism: a model for FRMD3 in diabetic nephropathy. Diabetes 2013; 62:2605-12. [PMID: 23434934 PMCID: PMC3712052 DOI: 10.2337/db12-1416] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Genome-wide association studies have proven to be highly effective at defining relationships between single nucleotide polymorphisms (SNPs) and clinical phenotypes in complex diseases. Establishing a mechanistic link between a noncoding SNP and the clinical outcome is a significant hurdle in translating associations into biological insight. We demonstrate an approach to assess the functional context of a diabetic nephropathy (DN)-associated SNP located in the promoter region of the gene FRMD3. The approach integrates pathway analyses with transcriptional regulatory pattern-based promoter modeling and allows the identification of a transcriptional framework affected by the DN-associated SNP in the FRMD3 promoter. This framework provides a testable hypothesis for mechanisms of genomic variation and transcriptional regulation in the context of DN. Our model proposes a possible transcriptional link through which the polymorphism in the FRMD3 promoter could influence transcriptional regulation within the bone morphogenetic protein (BMP)-signaling pathway. These findings provide the rationale to interrogate the biological link between FRMD3 and the BMP pathway and serve as an example of functional genomics-based hypothesis generation.
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Affiliation(s)
- Sebastian Martini
- Departments of Internal Medicine and Nephrology, University of Michigan, Ann Arbor, Michigan
| | - Viji Nair
- Departments of Internal Medicine and Nephrology, University of Michigan, Ann Arbor, Michigan
| | - Sanjeevkumar R. Patel
- Departments of Internal Medicine and Nephrology, University of Michigan, Ann Arbor, Michigan
| | - Felix Eichinger
- Departments of Internal Medicine and Nephrology, University of Michigan, Ann Arbor, Michigan
| | - Robert G. Nelson
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona
| | - E. Jennifer Weil
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona
| | - Marcus G. Pezzolesi
- Research and Clinic Divisions, Joslin Diabetes Center, Boston, Massachusetts
| | | | - Ann Randolph
- Departments of Internal Medicine and Nephrology, University of Michigan, Ann Arbor, Michigan
| | - Benjamin J. Keller
- Department of Computer Science, Eastern Michigan University, Ypsilanti, Michigan
| | - Thomas Werner
- Departments of Internal Medicine and Nephrology, University of Michigan, Ann Arbor, Michigan
- Genomatix Software GmbH, Munich, Germany
| | - Matthias Kretzler
- Departments of Internal Medicine and Nephrology, University of Michigan, Ann Arbor, Michigan
- Corresponding author: Matthias Kretzler,
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Kretzler M, Cohen CD. Integrative biology of renal disease: toward a holistic understanding of the kidney's function and failure. Semin Nephrol 2011; 30:439-42. [PMID: 21044755 DOI: 10.1016/j.semnephrol.2010.07.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Matthias Kretzler
- Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
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