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      The Molecular Phenotype of Endocapillary Proliferation: Novel Therapeutic Targets for IgA Nephropathy

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          Abstract

          IgA nephropathy (IgAN) is a clinically and pathologically heterogeneous disease. Endocapillary proliferation is associated with higher risk of progressive disease, and clinical studies suggest that corticosteroids mitigate this risk. However, corticosteroids are associated with protean cellular effects and significant toxicity. Furthermore the precise mechanism by which they modulate kidney injury in IgAN is not well delineated. To better understand molecular pathways involved in the development of endocapillary proliferation and to identify novel specific therapeutic targets, we evaluated the glomerular transcriptome of microdissected kidney biopsies from 22 patients with IgAN. Endocapillary proliferation was defined according to the Oxford scoring system independently by 3 nephropathologists. We analyzed mRNA expression using microarrays and identified transcripts differentially expressed in patients with endocapillary proliferation compared to IgAN without endocapillary lesions. Next, we employed both transcription factor analysis and in silico drug screening and confirmed that the endocapillary proliferation transcriptome is significantly enriched with pathways that can be impacted by corticosteroids. With this approach we also identified novel therapeutic targets and bioactive small molecules that may be considered for therapeutic trials for the treatment of IgAN, including resveratrol and hydroquinine. In summary, we have defined the distinct molecular profile of a pathologic phenotype associated with progressive renal insufficiency in IgAN. Exploration of the pathways associated with endocapillary proliferation confirms a molecular basis for the clinical effectiveness of corticosteroids in this subgroup of IgAN, and elucidates new therapeutic strategies for IgAN.

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          Most cited references15

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          An atlas of combinatorial transcriptional regulation in mouse and man.

          Combinatorial interactions among transcription factors are critical to directing tissue-specific gene expression. To build a global atlas of these combinations, we have screened for physical interactions among the majority of human and mouse DNA-binding transcription factors (TFs). The complete networks contain 762 human and 877 mouse interactions. Analysis of the networks reveals that highly connected TFs are broadly expressed across tissues, and that roughly half of the measured interactions are conserved between mouse and human. The data highlight the importance of TF combinations for determining cell fate, and they lead to the identification of a SMAD3/FLI1 complex expressed during development of immunity. The availability of large TF combinatorial networks in both human and mouse will provide many opportunities to study gene regulation, tissue differentiation, and mammalian evolution. (c) 2010 Elsevier Inc. All rights reserved.
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            Repeat dose study of the cancer chemopreventive agent resveratrol in healthy volunteers: safety, pharmacokinetics, and effect on the insulin-like growth factor axis.

            Resveratrol, a naturally occurring polyphenol, has cancer chemopreventive properties in preclinical models. It has been shown to downregulate the levels of insulin-like growth factor-1 (IGF-I) in rodents. The purpose of the study was to assess its safety, pharmacokinetics, and effects on circulating levels of IGF-I and IGF-binding protein-3 (IGFBP-3) after repeated dosing. Forty healthy volunteers ingested resveratrol at 0.5, 1.0, 2.5, or 5.0 g daily for 29 days. Levels of resveratrol and its metabolites were measured by high performance liquid chromatography-UV in plasma obtained before and up to 24 hours after a dose between days 21 and 28. IGF-I and IGFBP-3 were measured by ELISA in plasma taken predosing and on day 29. Resveratrol was safe, but the 2.5 and 5 g doses caused mild to moderate gastrointestinal symptoms. Resveratrol-3-O-sulfate, resveratrol-4'-O-glucuronide, and resveratrol-3-O-glucuronide were major plasma metabolites. Maximal plasma levels and areas under the concentration versus time curve for the metabolites dramatically exceeded those for resveratrol, in the case of areas under the concentration versus time curve, by up to 20.3-fold. Compared with predosing values, the ingestion of resveratrol caused a decrease in circulating IGF-I and IGFBP-3 (P<0.04 for both), respectively, in all volunteers. The decrease was most marked at the 2.5 g dose level. The results suggest that repeated administration of high doses of resveratrol generates micromolar concentrations of parent and much higher levels of glucuronide and sulfate conjugates in the plasma. The observed decrease in circulating IGF-I and IGFBP-3 might contribute to cancer chemopreventive activity. Copyright © 2010 AACR.
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              Predicting progression in IgA nephropathy.

              Immunoglobulin A (IgA) nephropathy is one of the most common primary types of glomerulonephritis to progress to end-stage renal disease. Its variable and often long natural history makes it difficult to predict outcome. We investigated the association of the rate of renal function decline based on the slope of creatinine clearance over time with demographic, clinical, laboratory, and histological data from 298 patients with biopsy-proven IgA nephropathy with a mean follow-up of 70 months. Using univariate analysis, urinary protein excretion at baseline and Lee pathological grading, as well as mean arterial pressure (MAP) and urinary protein excretion during follow-up, were associated with the rate of deterioration in renal function. Of these, only MAP and urinary protein excretion during follow-up were identified as independent factors by multiple linear regression analysis. The combination of best accuracy of prediction and shortest observation time using these two parameters was reached between the second and third years of follow-up. A semiquantitative method of estimating the rate of progression by using these factors was developed. These results indicate that MAP and severity of proteinuria over time are the most important prognostic indicators of IgA nephropathy. The potential relevance of the algorithm in patient management is shown.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                18 August 2014
                : 9
                : 8
                : e103413
                Affiliations
                [1 ]Department of Pathology, University of Michigan, Ann Arbor, Michigan, United States of America
                [2 ]Department of Internal Medicine, Nephrology, and Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America
                [3 ]Department of Laboratory Medicine and Pathology, University Health Network and University of Toronto, Ontario, Canada
                [4 ]Department of Cellular and Molecular Pathology, German Cancer Research Center, Heidelberg, Germany
                [5 ]Institute of Pathology, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany
                [6 ]Department of Nephrology, Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
                [7 ]Department of Laboratory Medicine and Pathology, University Health Network and University of Toronto, Toronto, Ontario, Canada
                [8 ]Department of Medicine, University Health Network and University of Toronto, and the Toronto Glomerulonephritis Registry, Toronto, Ontario, Canada
                University of Florida, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: JH CB MK AH HR. Performed the experiments: JH RJ EG SP HG HR. Analyzed the data: JH CB RJ MK HR. Contributed reagents/materials/analysis tools: JH RJ JS MH DC MK HR. Wrote the paper: JH CB HR.

                Article
                PONE-D-14-10023
                10.1371/journal.pone.0103413
                4136785
                25133636
                cf887b1c-99ff-40ec-a631-abefa0e1e214
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 March 2014
                : 29 June 2014
                Page count
                Pages: 8
                Funding
                The work of CCB was supported by a grant from the NIH (RO1- DK085241). The work of AH and HNR was supported by an initial grant from the Physicians Services Incorporated Foundation and unrestricted investigator-initiated funds from Amgen Inc. The work of JBH was supported by a grant from the NIH (5-K08-DK088944). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Proteins
                Immune System Proteins
                Complement System
                Computational Biology
                Genome Analysis
                Transcriptome Analysis
                Genetics
                Genomics
                Immunology
                Clinical Immunology
                Immunotherapy
                Systems Biology
                Medicine and Health Sciences
                Diagnostic Medicine
                Nephrology
                Glomerulonephritis
                Pathology and Laboratory Medicine
                Anatomical Pathology
                Histopathology
                Molecular Pathology
                Pharmaceutics
                Drug Therapy
                Steroid Therapy
                Corticosteroid Therapy
                Research and Analysis Methods
                Bioassays and Physiological Analysis
                Microarrays
                Custom metadata
                The authors confirm that all data underlying the findings are fully available without restriction. Gene expression datasets are available on Gene Expression Omnibus (GEO) under the accession number GSE50469 (http://www.ncbi.nlm.nih.gov/geo/).

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                Uncategorized

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