| Literature DB >> 29375545 |
Vinod Nadella1, Aparna Mohanty1, Lalita Sharma1, Sailu Yellaboina2, Hans-Joachim Mollenkopf3, Varadendra Balaji Mazumdar1, Ramesh Palaparthi4, Madhavi B Mylavarapu4, Radheshyam Maurya5, Sreenivasulu Kurukuti5, Thomas Rudel6, Hridayesh Prakash1.
Abstract
Apoptosis is a physiological cell death process essential for development, tissue homeostasis, and for immune defense of multicellular animals. Inhibitors of apoptosis proteins (IAPs) regulate apoptosis in response to various cellular assaults. Using both genetic and pharmacological approaches we demonstrate here that the IAPs not only support opportunistic survival of intracellular human pathogens like Chlamydia pneumoniae but also control plasticity of iNOS+ M1 macrophage during the course of infection and render them refractory for immune stimulation. Treatment of Th1 primed macrophages with birinapant (IAP-specific antagonist) inhibited NO generation and relevant proteins involved in innate immune signaling. Accordingly, birinapant promoted hypoxia, angiogenesis, and tumor-induced M2 polarization of iNOS+ M1 macrophages. Interestingly, birinapant-driven changes in immune signaling were accompanied with changes in the expression of various proteins involved in the metabolism, and thus revealing the new role of IAPs in immune metabolic reprogramming in committed macrophages. Taken together, our study reveals the significance of IAP targeting approaches (Smac mimetic compounds) for the management of infectious and inflammatory diseases relying on macrophage plasticity.Entities:
Keywords: apoptosis; hypothalamus; infection; inflammation mediators; macrophages immunobiology; polarization
Year: 2018 PMID: 29375545 PMCID: PMC5767188 DOI: 10.3389/fimmu.2017.01792
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1XIAP deficiency promotes M2 polarization during the course of infection. (A) Pulmonary titer of IL-10 in xIAP KO mice and its WT counterpart at 20th post infection day was analyzed by sandwich ELISA. (B–E) Whole lung tissue and CD11b+/Gr-1 (−) pulmonary macrophage cell lysates from both WT and Xiap KO mice 20 days after Chlamydia pneumoniae infection were analyzed by Western blotting for M1 and M2 signaling markers. (F) Expression of chlamydial HSP60 and major outer membrane proteins in the lung of XIAP KO-infected mice with time and (G) expression of iNOS protein in XIAP-deficient CD11b+/Gr-1 (−) pulmonary macrophages over WT counterpart in response to TNF stimulation were analyzed by Western blotting. 20 µg of protein per sample was analyzed by the immunoblot method as described in the “Materials and Methods” section. β-actin was used as a loading control. Representative blots from three independent mice infections with similar outcome are shown. The Western blots were quantified for densitometry by Image J software, and mean densitometry values of independent proteins were divided with its mean densitometry values of its respective β-actin band intensity value to present the relative expression of each protein as a mean in the ratio of protein to actin. Data shown here is the ±SEM from three independent experiments. Statistical analysis was conducted either by using two-tailed unpaired t-test and/or by using two-way ANOVA followed by Bonferroni post-test, respectively (*p < 0.05; **p < 0.01; and ***p < 0.001).
Global gene expression analysis by microarray in purified CD11b+/Gr-1 (‒) peripheral macrophages from WT and ciap1 KO mice.
| (A) CIAP1-KO Vs WT (Naive) | |
|---|---|
| Upregulated | Downregulated |
| TNFR2, INTRINSIC, NO1, VIP, 41BB, TNFR2, ACH, and NKT | PYK2, IL1R, MAL, MITOCHONDRIA, HCMV, IL17, RAS, NEUROTRANSMITTERS, ERYTH, HER2, HCMV, BARR_MAPK, FAS, SARS, and GLYCOLYSIS |
| Positive regulation of ER associated ubiquitin-dependent protein catabolic | Cranial nerve formation |
| Regulation of receptor internalization | |
| Peptidyl asparagine modification | Stress response to metal ion |
| Regulation of cholesterol esterification | Regulation of receptor internalization |
| Positive regulation of cholesterol esterification | Negative regulation of leukocyte adhesion to vascular endothelial cell |
| Protein N-linked glycosylation | Regulation of membrane repolarization during action potential |
| Cranial nerve formation | Adenylate cyclase activating G protein-coupled receptor signaling pathway |
| Negative regulation of retrograde protein transport ER to cytosol | DNA replication-dependent nucleosome assembly and organization |
| Negative regulation of protein exit from endoplasmic reticulum | Common myeloid progenitor cell proliferation |
| Positive regulation of regulatory T cell differentiation | Positive regulation of transcription from RNA polymerase III promoter |
| Regulation of NFAT protein import into nucleus | Negative regulation of megakaryocyte differentiation |
| Regulation of cytokine production | Regulation of type B pancreatic cell proliferation |
| Regulation of cytokine biosynthetic process | |
| Regulation of interleukin 2 biosynthetic process | |
| Regulation of immature T cell proliferation in thymus | |
| Serine family amino acid catabolic process | |
| FOA2 and FOA3 transcription factor networks | FOM1 transcription factor network |
| Glucocorticoid receptor regulatory network | EphrinA EPHA pathway |
| Alpha6 beta4 integrin ligand interactions | Non-genotropic androgen signaling |
| Arf6 signaling events | |
| GMCSF-mediated signaling events | |
| IL27-mediated signaling events | |
| Heterotrimeric G protein signaling pathway | X5 hydroxytryptamine degradation |
| Gi alpha- and Gs alpha-mediated pathway | Adrenaline and noradrenaline biosynthesis |
| Heme biosynthesis | |
| Gluconeogenesis | Integrin cell surface interactions |
| Defective CSF2RB causes pulmonary surfactant metabolism dysfunction 5 (SMDP5) | |
| Defective CSF2RA causes SMDP4 | |
| Glyoxylate metabolism and glycine degradation | Clearance of nuclear envelope membranes from chromatin |
| Trafficking of myristoylated proteins to the cilium | MAPK1 ERK2 activa |
| Regulation of beta cell development | Defective CSF2RB causes SMDP5 |
| Anchoring fibril formation | Diseases associated with surfactant metabolism IRAK2-mediated activation of TAK1 complex |
| Formation of ATP by chemiosmotic coupling | |
| Keratan sulfate biosynthesis | |
| SODD, IL15, AMI, INTRINSIC | IL10, AKT, RANKL, Glycolysis, SARS, IL17, RAS, GCR |
| Regulation of protein deubiquitination | Positive regulation of ER-associated ubiquitin-dependent protein catabolic |
| Regulation of receptor internalization | |
| Actin nucleation | Regulation of Golgi inheritance |
| Arp2 3 complex-mediated actin nucleation | Regulation of NFAT protein import into nucleus |
| Chromosome movement toward spindle pole | Positive regulation of regulatory T cell differentiation |
| Cellular response to parathyroid hormone stimulus | Cell adhesion mediated by integrin |
| Meiotic cytokinesis | Cellular amino acid catabolic process |
| Carbon dioxide transport | Pyroptosis |
| Cholesterol homeostasis | Histamine metabolic process |
| Sterol homeostasis | Imidazole containing compound metabolic process |
| Stress response to metal ion | Inflammatory response |
| Positive regulation of deacetylase activity | Positive regulation of plasminogen activation |
| Positive regulation of histone deacetylase activity | DNA dealkylation |
| Sphingoid biosynthetic process | DNA demethylation |
| Cellular modified amino acid catabolic process | |
| Heme transport | |
| Hormone catabolic process | |
| Fructose metabolic process | |
| Alpha6 beta4 integrin ligand interactions | Trk receptor signaling mediated by PI3K and PLC gamma |
| Endogenous TLR signaling | FOA1 transcription factor network |
| Beta2 integrin cell surface interactions | Alpha9 beta1 integrin signaling events |
| Syndecan 4-mediated signaling event | Arf6 signaling events |
| Integrin family cell surface interactions | |
| Inflammation mediated by chemokine and cytokine signaling pathway | N-Acetylglucosamine metabolism |
| Angiogenesis | |
| Vitamin D metabolism and pathway | |
| Gamma aminobutyric acid synthesis | |
| TAK1 activates NFkB by phosphorylation and activation of IKKs complex | Defective CSF2RA and CSF2RB cause pulmonary surfactant metabolism |
| Diseases associated with surfactant metabolism | |
| Classical Kir channels | |
| Innate immune system | Defective CSF2RB causes SMDP5 |
| Toll-like receptor 3 cascade | Diseases associated with surfactant metabolism |
| MyD88-independent TLR3 TLR4 cascade | Amine-derived hormones |
| TAK1 activates NFkB by phosphorylation and activation of IKKs complex | VLDL biosynthesis |
| DEx H box helicases activate type I IFN and inflammatory cytokines production | |
| Metallothioneins bind metals, response to metal ions, and classical Kir channels | |
Figure 2Chlamydia pneumoniae-infected macrophages are refractory for immune stimulation. (A) Pulmonary titers of IL-10 in both WT-infected and uninfected mice were analyzed by sandwich ELISA. (B) IFNγ induced generation of NO by WT, and cpn-infected CD11b+/Gr-1 (−) peritoneal macrophage was quantified from the culture supernatants by the Griess reagent method. (C) Release of TNF in IFNγ-induced iNOS+ macrophages was quantified from both WT and xIAP KO by ELISA and (D) expression of iNOS proteins in CD11b+/Gr-1 (−) peritoneal macrophages from WT mice was confirmed by the immunofluorescence method upon stimulation with IFNγ for 24 h showing M1 polarization of these macrophages against control. In similar lines, TNF induced generation of NO by both WT and cpn-infected CD11b+/Gr-1 (−) peritoneal macrophage was quantified from the culture supernatants by the Griess reagent method (E) and the expression of iNOS proteins in CD11b+/Gr-1 (−) peritoneal macrophages from WT mice was confirmed by the immunofluorescence method upon stimulation with IFNγ for 24 h (F). IFNγ induced generation of NO by WT and xIAP KO (G) and TNF induced generation of NO by WT and cIAP KO upon infection with C. pneumoniae was quantified from the culture supernatants by the Griess reagent method (H). Statistical analysis was conducted either by using a two-tailed unpaired t-test and/or by using two-way ANOVA followed by Bonferroni post-test, respectively (*p < 0.05; **p < 0.01; and ***p < 0.001).
Figure 3Birinapant regulates phenotypic and immune-metabolic programming in naive macrophages. RAW264.7A murine MΦ was treated with and without birinapant and cultured for indicated time points. (A) NO titer was quantified in the culture supernatants by the Griess reagent method. (B) The cultures mentioned under (A) were lysed and analyzed for various M1 and M2 effector proteins, inhibitors of apoptosis proteins, and signaling markers by Western blotting. (C) The Western blots were quantified for densitometry by Image J software, and mean densitometry values of independent proteins were divided with its mean densitometry values of its respective β-actin band intensity value to present the relative expression of each protein as a mean in the ratio of protein to actin. (D) To monitor the intracellular signaling, important metabolic signaling component activation was observed using PathScan Intracellular Signaling Array Kit from Cell Signaling Technology. Images were analyzed by using ImageJ software, and mean densitometry values were plotted in terms of relative expression. Statistical analysis was conducted using two-way ANOVA followed by the Bonferroni post-test (*p < 0.05; **p < 0.01; and ***p < 0.001).
Figure 4Birinapant regulate M1 programming and immune-metabolic programming in lipopolysaccharide (LPS) and/or IFNγ-skewed iNOS+ macrophages. RAW264.7A murine MΦ was stimulated with Th1 cytokines LPS or IFNγ and both LPS and IFNγ with and without birinapant and cultured for indicated time points. (A) NO titer was quantified in the culture supernatants by the Griess reagent method. The data are represented as mean μM of NO ± SEM, and statistical analysis was conducted using two-way ANOVA followed by the Bonferroni post-test (*p < 0.05; **p < 0.01; and ***p < 0.001). (B) The cultures mentioned under (A) were lysed and analyzed for various M1 and M2 effector proteins, inhibitors of apoptosis proteins, and signaling markers by Western blotting. (C) The Western blots were quantified for densitometry by Image J software, and mean densitometry values of independent proteins were divided with its mean densitometry values of its respective β-actin band intensity value to present the relative expression of each protein as a mean in the ratio of protein to actin. (D) To monitor the intracellular signaling, important metabolic signaling component activation was observed using PathScan Intracellular Signaling Array Kit from Cell Signaling Technology. Images were analyzed by using ImageJ software, and mean densitometry values were plotted in terms of relative expression. Statistical analysis was conducted using two-way ANOVA followed by the Bonferroni post-test (*p < 0.05; **p < 0.01; and ***p < 0.001).
Figure 5Inhibitor of apoptosis proteins (IAP) regulates tumor lysate mediated sterile inflammatory responses and immune-metabolic programming in iNOS+ macrophages. (A) RAW264.7A murine MΦ was stimulated with Th1 cytokines lipopolysaccharide (LPS) or IFNγ and both LPA and IFNγ with and without lysate prepared from PancO2 pancreatic tumor cell line (100 ng protein) and birinapant and cultured for indicated time points. NO titer was quantified in the culture supernatants by the Griess reagent method. Shown here is the mean μM of NO ± SEM from three independent experiments. Statistical analysis was conducted using two-way ANOVA followed by Bonferroni post-test (***p < 0.001). (B) The cultures mentioned under A were lysed and analyzed for various M1 and M2 effector proteins, IAPs, and signaling markers by Western blotting. (C) The Western blots were quantified for densitometry by Image J software, and mean densitometry values of independent proteins were divided with its mean densitometry values of its respective β-actin band intensity value to present the relative expression of each protein as a mean in the ratio of protein to actin. (D) To monitor the intracellular signaling, important metabolic signaling component activation was observed using PathScan Intracellular Signaling Array Kit from Cell Signaling Technology. Images were analyzed by using ImageJ software, and mean densitometry values were plotted in terms of relative expression. Statistical analysis was conducted using two-way ANOVA followed by Bonferroni post-test (*p < 0.05; **p < 0.01; and ***p < 0.001).
Figure 6Inhibitors of apoptosis proteins regulate wound healing efficiency of primary macrophages. (A) HeLa cells at 2.5 × 104 per well in 24-well plates cultured in complete RPMI medium for 24 h at 37°C to form a cell monolayer before the wound was made by a scratch. HeLa cells were allowed to migrate for 24 h upon treating with and without BP and vascular endothelial growth factor, respectively. Images of the wound areas were captured using an Inverted Fluorescence Microscope, at 10× and compared with images taken immediately after scratch was made. (B) Wound area was quantified by analyzing the images using ImageJ, and the percentage closure of the wound area was plotted as mean ± SE. (C) HeLa cells described in (A) were cultured in media conditioned by primary macrophages stimulated with lipopolysaccharide (LPS) (CM1) and/or in media conditioned by primary macrophages stimulated with LPS and treated with birinapant (CM2). Images of the wound areas were captured using an Inverted Fluorescence Microscope, at 10× and compared with images taken immediately after scratch was made. (D) Wound area was quantified by analyzing the images using ImageJ, and the percentage closure of the wound area was plotted as mean ± SE. Images presented are the representative of three independent experiments done in triplicates. Statistical analysis was conducted using two-way ANOVA followed by the Bonferroni post-test (*p < 0.05 and **p < 0.01).
Figure 7Inhibitors of apoptosis protein reprogram metabolic activity in both naive and Th1-primed macrophages during macrophage polarization. Naïve and Th1-primed RAW264.7A murine MΦ with (A) Naïve and (B) Th1 primed RAW264.7A murine MΦ (M1; iNOS+) were treated with metformin and cultured in both normal and high glucose condition in the presence and absence of birinapant and cultured for indicated time points. NO titer was quantified in the culture supernatants by the Griess reagent method. Data shown here is ±SEM from three independent experiments. Statistical analysis was conducted using two-way ANOVA followed by the Bonferroni post-test (*p < 0.05; **p < 0.01; and ***p < 0.001).