Performing Department
Microbiology And Immunology
Non Technical Summary
The social and economic impact of infectious diseases is enormous. It is estimated that 300 million people suffer from AIDS, malaria or tuberculosis worldwide, which account for about half of all infectious diseases. There is a critical need for new interventions that modulate the immune response to infection, either to hasten clearance of pathogenic microbes or enhance the efficacy of vaccines. Our long-term goal is to develop a new and safe approach to hasten and enhance the immune response to microbial pathogens. Listeria monocytogenes is a foodborne bacterial pathogen that has the ability to multiply in the cytosol of infected cells and to spread from cell to cell using an actin-based mechanism of motility. Escape from vacuoles, which are formed upon cell-to-cell spread, is mediated in part by a phospholipase C (PC-PLC), whose activation is dependent on a decrease in vacuolar pH. Therefore, active PC-PLC is secreted specifically in acidified vacuoles during the intracellular life cycle of L. monocytogenes. We have generated a mutant strain of L. monocytogenes that constitutively secretes active PC-PLC in the cytosol of infected cells. Loss of regulation of PC-PLC activity during infection does not affect host cell viability or the ability of bacteria to multiply intracellularly. Similarly, loss of regulation of PC-PLC activity does not change the initial course of infection in mice; however, beginning at 2 days post-infection there is an increase in the efficiency of immune clearance. Our hypothesis is that PC-PLC up regulates the immune response to infection when delivered as an active enzyme in the cytosol of host cells, consequently conferring a protective effect against infection. The objectives of this application are: (1) to determine how PC-PLC influences the transcriptional and translational response to infection in macrophages, and (2) to systematically characterize the effects of PC-PLC on the immune response to infection in vivo. If our results confirm that PC-PLC acts as an adjuvant to hasten and enhance the immune response to infection, we will next investigate methods to efficiently and safely deliver PC-PLC as a novel treatment modality. The studies described herein have the capability to significantly impact our ability to manipulate the immune response to other infectious diseases, potentially leading to the development of new prophylactic and curative approaches.
Animal Health Component
(N/A)
Research Effort Categories
Basic
(N/A)
Applied
(N/A)
Developmental
(N/A)
Goals / Objectives
Goals /Objectives Listeria monocytogenes is a foodborne bacterial pathogen that multiplies in the cytosol of infected cells and spreads from cell to cell using an actin-based mechanism of motility (2). Escape from vacuoles formed upon cell-to-cell spread is mediated in part by a broad-range phospholipase C (PC-PLC), whose activation is dependent on a decrease in vacuolar pH (1). Active PC-PLC is secreted specifically in acidified vacuoles during the intracellular life cycle of L. monocytogenes. We have generated a strain of L. monocytogenes that constitutively secretes active PC-PLC in the cytosol of infected cells (L. monocytogenes plcB∆pro). Loss of regulation of PC-PLC activity during infection does not affect host cell viability or the ability of bacteria to multiply intracellularly in vitro (3). Similarly, loss of regulation of PC-PLC activity does not change the initial course of infection in mice; however, it increases the efficiency of immune clearance starting at 2 days post-infection. Our hypothesis is that PC-PLC up regulates the immune response to infection when delivered as an active enzyme in the cytosol of host cells, consequently conferring a protective effect against infection. 1. Determine how PC-PLC influences the transcriptional and translational response to infection in macrophages We will test the hypothesis that PC-PLC up regulates the immune response to infection when delivered as an active enzyme in the cytosol of host cells. We will mechanistically and systematically determine how the loss of regulation of PC-PLC activity influences the host transcriptional expression profile, and the extent to which the loss of regulation of PC-PLC activity influences the synthesis and secretion of soluble mediators of inflammation in macrophages. 2. Systematically characterize the effects of PC-PLC on the immune response to infection in vivo We will test the hypothesis that bacterial delivery of active PC-PLC in the cytosol of infected cells has a protective effect against infection. This will be tested by infecting mice concomitantly with the L. monocytogenes plcB∆pro mutant strain and the isogenic wild-type strain, and by following the kinetics of bacterial growth and clearance in tissues. We will also evaluate the pathology associated with infection and characterize the immune response in infected tissues. Lastly, we will differentiate PC-PLC-mediated effects that are due to MyD88 vs type 1 IFN immune response to infection, using MyD88 and IFNAR (IFNa receptor) knock out mice. 1. Marquis, H., H. Goldfine, and D. A. Portnoy. 1997. Proteolytic pathways of activation and degradation of a bacterial phospholipase C during intracellular infection by Listeria monocytogenes. J. Cell Biol. 137:1381-1392. 2. Tilney, L. G., and D. A. Portnoy. 1989. Actin filaments and the growth, movement, and spread of the intracellular bacterial parasite, Listeria monocytogenes. J. Cell Biol. 109:1597-1608. 3. Yeung, P. S., Y. Na, A. J. Kreuder, and H. Marquis. 2007. Compartmentalization of the broad-range phospholipase C activity to the spreading vacuole is critical for Listeria monocytogenes virulence. Infect. Immun. 75:44-51.
Project Methods
AIM 1. Determine how PC-PLC influences the transcriptional and translational response to infection in macrophages 1a. Determine how PC-PLC affects the transcriptional response of macrophages to infection We will use a tissue culture model of infection to determine the extent to which the loss of regulation of PC-PLC activity affects the transcriptional expression profile of genes coding for soluble mediators of inflammation and their receptors. These experiments will be carried out with primary cultures of murine bone marrow-derived macrophages for several major reasons. 1b. Determine how PC-PLC affects the translational response of macrophages to infection The profile of soluble mediators of inflammation synthesized by infected bone marrow-derived macrophages will be determined to evaluate translational activities that are either consistent with or independent of the transcriptional profile. Uninfected cells will be used as controls. We will assess the levels of secreted and intracellular mediators at 8 and 18 hours post-infection, but additional time points will be added if necessary. AIM 2. Systematically characterize the effects of PC-PLC on the immune response to infection in vivo 2a. Determine whether PC-PLC can protect mice against listeriosis This concept will be tested by infecting groups of BALB/c mice with the wild-type strain of L. monocytogenes, or the plcB∆pro mutant, or a combination of both strains. The kinetics of bacteria growth and clearance in tissues will be followed by sacrificing groups of 5 mice at 1, 2, and 4 days post-infection 2b. Define the severity of histopathological lesions associated with infection As a complement to following the kinetics of bacteria growth and clearance in tissues of infected mice, we will assess differences in histopathological lesions associated with infection at various time-points post-infection. 2c. Define the immune cell response to infection Numbers and types of immune cells infiltrating infected tissues will be determined to better define the effect of PC-PLC on the immune response in vivo. The different populations of stained cells will be analyzed on a BD FACSCantoII system (available for a fee in the department of Microbiology and Immunology) and data will be processed using FlowJO software. We will analyze three experimental replicates per time point. Experimental data will be analyzed statistically using a two-tailed t-test.