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      The Inflammatory Transcription Factors NFκB, STAT1 and STAT3 Drive Age-Associated Transcriptional Changes in the Human Kidney

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          Abstract

          Human kidney function declines with age, accompanied by stereotyped changes in gene expression and histopathology, but the mechanisms underlying these changes are largely unknown. To identify potential regulators of kidney aging, we compared age-associated transcriptional changes in the human kidney with genome-wide maps of transcription factor occupancy from ChIP-seq datasets in human cells. The strongest candidates were the inflammation-associated transcription factors NFκB, STAT1 and STAT3, the activities of which increase with age in epithelial compartments of the renal cortex. Stimulation of renal tubular epithelial cells with the inflammatory cytokines IL-6 (a STAT3 activator), IFNγ (a STAT1 activator), or TNFα (an NFκB activator) recapitulated age-associated gene expression changes. We show that common DNA variants in RELA and NFKB1, the two genes encoding subunits of the NFκB transcription factor, associate with kidney function and chronic kidney disease in gene association studies, providing the first evidence that genetic variation in NFκB contributes to renal aging phenotypes. Our results suggest that NFκB, STAT1 and STAT3 underlie transcriptional changes and chronic inflammation in the aging human kidney.

          Author Summary

          The structure and function of human kidneys deteriorate steadily with age, yet little is known about the underlying causes of kidney aging. In this work, we first used a genomics approach to identify candidate regulators of gene expression changes in the aging human kidney and identified inflammation-related transcription factors NFκB, STAT1 and STAT3 as the top candidate regulators. We found that kidney aging is associated with activation of NFκB, STAT1 and STAT3 in the renal parenchyma, and that the gene expression signatures evoked by activation of these transcription factors in human renal epithelial cells mimics age-associated gene expression changes in the kidney. Furthermore, we identified specific genetic variants in the NFκB transcription factor genes RELA and NFKB1 that associate with renal function and chronic kidney disease in humans, implicating NFκB as a potential contributor to the pathogenesis of chronic kidney disease and renal dysfunction in old age. Our findings suggest that activation of the inflammatory transcription factors STAT1, STAT3 and NFκB underlie transcriptional changes and reduced renal function in the elderly.

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          Origin and function of myofibroblasts in kidney fibrosis.

          Myofibroblasts are associated with organ fibrosis, but their precise origin and functional role remain unknown. We used multiple genetically engineered mice to track, fate map and ablate cells to determine the source and function of myofibroblasts in kidney fibrosis. Through this comprehensive analysis, we identified that the total pool of myofibroblasts is split, with 50% arising from local resident fibroblasts through proliferation. The nonproliferating myofibroblasts derive through differentiation from bone marrow (35%), the endothelial-to-mesenchymal transition program (10%) and the epithelial-to-mesenchymal transition program (5%). Specific deletion of Tgfbr2 in α-smooth muscle actin (αSMA)(+) cells revealed the importance of this pathway in the recruitment of myofibroblasts through differentiation. Using genetic mouse models and a fate-mapping strategy, we determined that vascular pericytes probably do not contribute to the emergence of myofibroblasts or fibrosis. Our data suggest that targeting diverse pathways is required to substantially inhibit the composite accumulation of myofibroblasts in kidney fibrosis.
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            Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project.

            We systematically generated large-scale data sets to improve genome annotation for the nematode Caenorhabditis elegans, a key model organism. These data sets include transcriptome profiling across a developmental time course, genome-wide identification of transcription factor-binding sites, and maps of chromatin organization. From this, we created more complete and accurate gene models, including alternative splice forms and candidate noncoding RNAs. We constructed hierarchical networks of transcription factor-binding and microRNA interactions and discovered chromosomal locations bound by an unusually large number of transcription factors. Different patterns of chromatin composition and histone modification were revealed between chromosome arms and centers, with similarly prominent differences between autosomes and the X chromosome. Integrating data types, we built statistical models relating chromatin, transcription factor binding, and gene expression. Overall, our analyses ascribed putative functions to most of the conserved genome.
              Bookmark
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              • Article: not found

              Multiple loci associated with indices of renal function and chronic kidney disease.

              Chronic kidney disease (CKD) has a heritable component and is an important global public health problem because of its high prevalence and morbidity. We conducted genome-wide association studies (GWAS) to identify susceptibility loci for glomerular filtration rate, estimated by serum creatinine (eGFRcrea) and cystatin C (eGFRcys), and CKD (eGFRcrea < 60 ml/min/1.73 m(2)) in European-ancestry participants of four population-based cohorts (ARIC, CHS, FHS, RS; n = 19,877; 2,388 CKD cases), and tested for replication in 21,466 participants (1,932 CKD cases). We identified significant SNP associations (P < 5 × 10(-8)) with CKD at the UMOD locus, with eGFRcrea at UMOD, SHROOM3 and GATM-SPATA5L1, and with eGFRcys at CST and STC1. UMOD encodes the most common protein in human urine, Tamm-Horsfall protein, and rare mutations in UMOD cause mendelian forms of kidney disease. Our findings provide new insights into CKD pathogenesis and underscore the importance of common genetic variants influencing renal function and disease.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                17 December 2015
                December 2015
                : 11
                : 12
                : e1005734
                Affiliations
                [1 ]Department of Developmental Biology, Stanford University, Stanford, California, United States of America
                [2 ]Department of Genetics, Stanford University, Stanford, California, United States of America
                [3 ]Cancer Biology Program, Stanford University, Stanford, California, United States of America
                [4 ]Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California, United States of America
                [5 ]Department of Pathology, Stanford University Medical Center, Stanford, California, United States of America
                The University of North Carolina at Chapel Hill, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: ZKO ELVN SKK. Performed the experiments: ZKO ELVN. Analyzed the data: ZKO ELVN SKK. Contributed reagents/materials/analysis tools: JPH ELVN. Wrote the paper: ZKO ELVN SKK.

                Article
                PGENETICS-D-15-01794
                10.1371/journal.pgen.1005734
                4682820
                26678048
                d8183b96-76f2-4320-80f8-cacc27137a99
                © 2015 O’Brown et al

                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
                : 20 July 2015
                : 19 November 2015
                Page count
                Figures: 6, Tables: 1, Pages: 28
                Funding
                This work was supported by the National Institutes on Aging Grant number: RO1 AG0250941 https://www.nia.nih.gov/ to SKK. This work was also supported by the National Cancer Institute PHS Grant Number CA09302 http://www.cancer.gov/ to ZKO. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                All microarray data generated in this study are available from the Gene expression omnibus database with the GEO Accession numbers GSE68940, GSE68941, GSE68942 and GSE68826. All other relevant data are within the paper and its Supporting Information files.

                Genetics
                Genetics

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