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M1 macrophage dependent-p53 regulates the intracellular survival of mycobacteria.

ABSTRACT: Tumor suppressor p53 is not only affects immune responses but also contributes to antibacterial activity. However, its bactericidal function during mycobacterial infection remains unclear. In this study, we found that the p53-deficient macrophages failed to control Mycobacterium tuberculosis (Mtb), manifested as a lower apoptotic cell death rate and enhanced intracellular survival. The expression levels of p53 during Mtb infection were stronger in M1 macrophages than in M2 macrophages. The TLR2/JNK signaling pathway plays an essential role in the modulation of M1 macrophage polarization upon Mtb infection. It facilitates p53-mediated apoptosis through the production of reactive oxygen species, nitric oxide and inflammatory cytokines in Mtb-infected M1 macrophages. In addition, nutlin-3 effectively abrogated the intracellular survival of mycobacteria in both TB patients and healthy controls after H37Ra infection for 24 h, indicating that the enhancement of p53 production effectively suppressed the intracellular survival of Mtb in hosts. These results suggest that p53 can be a new therapeutic target for TB therapy.

SUBMITTER: Lim YJ

PROVIDER: S-EPMC6965052 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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M1 macrophage dependent-p53 regulates the intracellular survival of mycobacteria.

Lim Yun-Ji YJ Lee Junghwan J Choi Ji-Ae JA Cho Soo-Na SN Son Sang-Hun SH Kwon Sun-Jung SJ Son Ji-Woong JW Song Chang-Hwa CH

Apoptosis : an international journal on programmed cell death 20200201 1-2

Tumor suppressor p53 is not only affects immune responses but also contributes to antibacterial activity. However, its bactericidal function during mycobacterial infection remains unclear. In this study, we found that the p53-deficient macrophages failed to control Mycobacterium tuberculosis (Mtb), manifested as a lower apoptotic cell death rate and enhanced intracellular survival. The expression levels of p53 during Mtb infection were stronger in M1 macrophages than in M2 macrophages. The TLR2/ ...[more]

PMID: 31691131

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Project description:BackgroundBovine TB (bTB), caused by infection with Mycobacterium bovis, is a major endemic disease affecting global cattle production. The key innate immune cell that first encounters the pathogen is the alveolar macrophage, previously shown to be substantially reprogrammed during intracellular infection by the pathogen. Here we use differential expression, and correlation- and interaction-based network approaches to analyse the host response to infection with M. bovis at the transcriptome level to identify core infection response pathways and gene modules. These outputs were then integrated with genome-wide association study (GWAS) data sets to enhance detection of genomic variants for susceptibility/resistance to M. bovis infection.ResultsThe host gene expression data consisted of RNA-seq data from bovine alveolar macrophages (bAM) infected with M. bovis at 24 and 48 h post-infection (hpi) compared to non-infected control bAM. These RNA-seq data were analysed using three distinct computational pipelines to produce six separate gene sets: 1) DE genes filtered using stringent fold-change and P-value thresholds (DEG-24: 378 genes, DEG-48: 390 genes); 2) genes obtained from expression correlation networks (CON-24: 460 genes, CON-48: 416 genes); and 3) genes obtained from differential expression networks (DEN-24: 339 genes, DEN-48: 495 genes). These six gene sets were integrated with three bTB breed GWAS data sets by employing a new genomics data integration tool-gwinteR. Using GWAS summary statistics, this methodology enabled detection of 36, 102 and 921 prioritised SNPs for Charolais, Limousin and Holstein-Friesian, respectively.ConclusionsThe results from the three parallel analyses showed that the three computational approaches could identify genes significantly enriched for SNPs associated with susceptibility/resistance to M. bovis infection. Results indicate distinct and significant overlap in SNP discovery, demonstrating that network-based integration of biologically relevant transcriptomics data can leverage substantial additional information from GWAS data sets. These analyses also demonstrated significant differences among breeds, with the Holstein-Friesian breed GWAS proving most useful for prioritising SNPS through data integration. Because the functional genomics data were generated using bAM from this population, this suggests that the genomic architecture of bTB resilience traits may be more breed-specific than previously assumed.

Project description:Mouse macrophages J774A.1 were pre-treated with the anti-inflammatory lipid eicosapenaenoic acid (EPA) or the pro-inflammatory lipid ceramide (Cer) for 3h. Macrophages were then infected with Mycobacterium smegmatis for 1h, and total RNA was collected. In a parallel experiment, infected macrophages were infected for 1h, 4h and 24h. At these time points, macrophages were lysed, bacteria was collected and quantified by the Colony Forming Units (CFU) Assay. This provided the kinetics of the killing of Mycobacteria inside mouse macrophages. CFU experiments revealed that cells pre-treated with EPA showed an increased number of bacteria inside macrophages, in contrast to cells pre-treated with Cer. To dissect the molecular mechanisms involved in the survival and killing of mycobacteria infected macrophages, mediated by lipids, gene expression studies were performed. Cultures of Mycobacterium smegmatis mc2155 harbouring a p19-(long lived) EGFP plasmid were grown to exponential growth phase. Bacteria were pelleted, washed in PBS and resuspended in medium DMEM with a multiplicity of infection (MOI) of 10 (10 bacteria per macrophage). Clumps of bacteria were removed by ultrasonic treatment of bacterial suspensions in an ultrasonic water bath for 15 minutes, followed by a low speed centrifugation for 2 minutes. Mouse macrophages J774A.1 were pre-.treated with the anti-inflammatory lipid eicosapenaenoic acid (EPA) or the pro-inflammatory lipid ceramide (Cer), 3h before infection. Mouse macrophages J774A.1 were infected with Mycobacterium smegmatis mc2155 for 1h, at 37M-BM-:C and 5% CO2. After 1h of infection, cells were washed with PBS. After washing, 1 ml Trizol was added per well, to collect total RNA. The experimental condition were: samples 1.1, 1.2, 1.3: Untreated macrophages; samples 2.1, 2.2, 2.3: Mock treated macrophages (ethanol 1ul/ml); samples 3.1, 3.2, 3.3: EPA (15uM) treated macrophages (ethanol 1ul/ml); samples 4.1, 4.2, 4.3: Cer (5ug/ml) treated macrophages (ethanol 1ul/ml); samples 5.1, 5.2, 5.3: Untreated macrophages, infected with Mycobacterium smegmatis mc2155 for 1h; samples 6.1, 6.2, 6.3: Mock treated macrophages (ethanol 1ul/ml) infected with Mycobacterium smegmatis mc2155 for 1h; samples 7.1, 7.2, 7.3: EPA (15uM) treated macrophages (ethanol 1ul/ml) infected with Mycobacterium smegmatis mc2155 for 1h; samples 8.1, 8.2, 8.3: Cer (5ug/ml) treated macrophages (ethanol 1ul/ml) infected with Mycobacterium smegmatis mc2155 for 1h; In a parallel experiment, infected macrophages remained with the bacteria for 1h, 4h and 24h after infection. After these time points, the macrophages were lysed, the bacteria was collected and quantified by the Colony Forming Units (CFU) Assay. This provided the kinetics of the killing of non-pathogenic intracellular bacteria inside mouse macrophages. For the CFU assay, after 1h of infection, cells were washed with PBS and Gentamicin (10ug/ml) in DMEM to kill the extracellular bacteria. At discrete time points, cells were washed with PBS and lysed with sterilized water. Quantitative cultures of bacteria were performed in a 10-fold serial dilutions, inoculated on 7H10 agar plates. 5ul were plated in triplicate and the number of colonies were counted after 48h.

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M1 macrophage dependent-p53 regulates the intracellular survival of mycobacteria.

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M1 macrophage dependent-p53 regulates the intracellular survival of mycobacteria.

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