0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Targeting Filamin A Reduces Macrophage Activity and Atherosclerosis

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background:

          The actin-binding protein FLNA (filamin A) regulates signal transduction important for cell locomotion, but the role of macrophage-specific FLNA during atherogenesis has not been explored.

          Methods:

          We analyzed FLNA expression in human carotid atherosclerotic plaques by immunofluorescence. We also produced mice with Flna -deficient macrophages by breeding conditional Flna -knockout mice ( Flna o/fl ) with mice expressing Cre from the macrophage-specific lysosome M promoter ( LC ). Atherosclerosis in vivo was studied by transplanting bone marrow from male Flna o/fl / LC mice to atherogenic low-density lipoprotein receptor–deficient ( Ldlr –/– ) mice; and by infecting Flna o/fl and Flna o/fl / LC mice with AdPCSK9 (adenoviral vector overexpressing proprotein convertase subtilisin/kexin type 9). Furthermore, C57BL/6 mice were infected with AdPCSK9 and then treated with the calpain inhibitor calpeptin to inhibit FLNA cleavage.

          Results:

          We found that macrophage FLNA expression was higher in advanced than in intermediate human atherosclerotic plaques. Flna o/fl / LC macrophages proliferated and migrated less than controls; expressed lower levels of phosphorylated AKT and ERK1/2; exhibited reduced foam cell formation and lipid uptake; and excreted more lipids. The deficiency of Flna in macrophages markedly reduced the size of aortic atherosclerotic plaques in both Ldlr –/–BMT: Flnao/fl/LC and AdPCSK9-infected Flna o/fl / LC mice. Intima/media ratios and numbers of CD68-positive macrophages in atherosclerotic plaques were lower in Flna -deficient mice than in control mice. Moreover, we found that STAT3 interacts with a calpain-cleaved carboxyl-terminal fragment of FLNA. Inhibiting calpain-mediated FLNA cleavage with calpeptin in macrophages reduced nuclear levels of phosphorylated STAT3, interleukin 6 secretion, foam cell formation, and lipid uptake. Finally, calpeptin treatment reduced the size of atherosclerotic plaques in C57BL/6 mice infected with AdPCSK9.

          Conclusions:

          Genetic inactivation of Flna and chemical inhibition of calpain-dependent cleavage of FLNA impaired macrophage signaling and function, and reduced atherosclerosis in mice, suggesting that drugs targeting FLNA may be useful in the treatment of atherosclerosis.

          Related collections

          Most cited references34

          • Record: found
          • Abstract: found
          • Article: not found

          NIH Image to ImageJ: 25 years of image analysis

          For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A guided tour into subcellular colocalization analysis in light microscopy.

            It is generally accepted that the functional compartmentalization of eukaryotic cells is reflected by the differential occurrence of proteins in their compartments. The location and physiological function of a protein are closely related; local information of a protein is thus crucial to understanding its role in biological processes. The visualization of proteins residing on intracellular structures by fluorescence microscopy has become a routine approach in cell biology and is increasingly used to assess their colocalization with well-characterized markers. However, image-analysis methods for colocalization studies are a field of contention and enigma. We have therefore undertaken to review the most currently used colocalization analysis methods, introducing the basic optical concepts important for image acquisition and subsequent analysis. We provide a summary of practical tips for image acquisition and treatment that should precede proper colocalization analysis. Furthermore, we discuss the application and feasibility of colocalization tools for various biological colocalization situations and discuss their respective strengths and weaknesses. We have created a novel toolbox for subcellular colocalization analysis under ImageJ, named JACoP, that integrates current global statistic methods and a novel object-based approach.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A scored human protein–protein interaction network to catalyze genomic interpretation

              InWeb_InBioMap (InWeb_IM for short) is a scored, integrated human protein–protein interaction network resource aggregated from public, experimentally determined protein–protein interactions. The resource enables functional interpretation of large-scale genomics data.
                Bookmark

                Author and article information

                Journal
                Circulation
                Circulation
                Ovid Technologies (Wolters Kluwer Health)
                0009-7322
                1524-4539
                July 02 2019
                July 02 2019
                : 140
                : 1
                : 67-79
                Affiliations
                [1 ]Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine (S.B., C.A., R.S., S.D., J.V.d.E., E.L., L.M.A.), Sahlgrenska Academy, University of Gothenburg, Sweden.
                [2 ]Sahlgrenska Cancer Center, Sahlgrenska Academy (M.K.A., J.K., M.O.B.), Sahlgrenska Academy, University of Gothenburg, Sweden.
                [3 ]Department of Molecular and Clinical Medicine, Institute of Medicine (M.E., G.B., M.L., J.B.), Sahlgrenska Academy, University of Gothenburg, Sweden.
                [4 ]Department of Surgery, Institute of Clinical Sciences (J.K.), Sahlgrenska Academy, University of Gothenburg, Sweden.
                [5 ]Department of Human Structure and Repair, Anatomy and Embryology Unit, Ghent University, Belgium (J.V.d.E.).
                [6 ]Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Physiology, Göteborg, Sweden (G.B.).
                [7 ]Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden (M.O.B.).
                [8 ]Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Pathology and Cytology, Göteborg, Sweden (L.M.A.).
                Article
                10.1161/CIRCULATIONAHA.119.039697
                31014088
                f07f541d-b0ba-4cf5-be15-da30e867a87e
                © 2019
                History

                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

                Comments

                Comment on this article