Stratifying macrophages based on their infectious burden identifies novel host targets for intervention during Crohns disease associated adherent-invasive Escherichia coli infection
Li, X.; Cole, J.; Vaughan, D.; Xiao, Y.; Walker, D.; Wall, D. M.
Show abstract
Bacterial infection is a dynamic process resulting in a heterogenous population of infected and uninfected cells. These cells respond differently based on their bacterial load and duration of infection. In the case of infection of macrophages with Crohns disease (CD) associated adherent-invasive Escherichia coli (AIEC), understanding the drivers of pathogen success may allow targeting of cells where AIEC replicate to high levels. Here we show that stratifying immune cells based on their bacterial load identifies novel pathways and therapeutic targets not previously associated with AIEC when using a traditional homogeneous infected population approach. Using flow cytometry-based cell sorting we stratified cells into those with low or high intracellular pathogen loads, or those which were bystanders to infection. Immune cells transcriptomics revealed a diverse response to the varying levels of infection while pathway analysis identified novel intervention targets that were directly related to increasing intracellular AIEC numbers. Chemical inhibition of identified targets reduced AIEC intracellular replication or inhibited secretion of tumour necrosis factor alpha (TNF), a key cytokine associated with AIEC infection. Our results have identified new avenues of intervention in AIEC infection that may also be applicable to CD through the repurposing of already available inhibitors. Additionally, they highlight the applicability of immune cell stratification post-infection as an effective approach for the study of microbial pathogens.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A small-scale shRNA screen in primary mouse macrophages identifies a role for the Rab GTPase Rab1b in controlling Salmonella Typhi growth 94%
- MTS1338, a small Mycobacterium tuberculosis RNA, regulates transcriptional shifts consistent with bacterial adaptation for entering into dormancy and survival within host macrophages 94%
- Enteropathogenic Escherichia coli (EPEC) Infection Induces Diarrhea, Intestinal Damage, Metabolic Alterations and Increased Intestinal Permeability in a Murine Model 93%
Similar papers in this journal
- Comparative virulence analysis of seven diverse strains of Orientia tsutsugamushi reveals a multifaceted and complex interplay of virulence factors responsible for disease. 94%
- The Salmonella phage shock protein system is required for defense against host antimicrobial peptides 93%
- Intracellular Staphylococcus aureus employs the cysteine protease staphopain A to induce host cell death in epithelial cells 93%
Similar papers in this journal
- Bartonella taylorii: A model organism for studying Bartonella infection in vitro and in vivo 93%
- Screening of surface exposed lipoproteins of Leptospira involved in modulation of host innate immune response 92%
- FasR regulates fatty acid biosynthesis and is essential for virulence of Mycobacterium tuberculosis 92%
Similar papers in this journal
- Pneumolysin is responsible for differential gene expression and modifications in the epigenetic landscape of primary monocyte derived macrophages. 95%
- Inhibition of granuloma triglyceride synthesis imparts control of Mycobacterium tuberculosis through curtailed inflammatory responses 94%
- Host Response to Bacterial Pathogens and Non-Pathogens is Determined by Wnt5A Mediated Actin Organization 94%
Similar papers in this journal
- Beneficial bacteria activate type-I interferon production via the cytosolic sensors STING and MAVS 95%
- Dual RNA-seq reveals a type 6 secretion system-dependent blockage of TNF-α signaling and BicA as a Burkholderia pseudomallei virulence factor important during gastrointestinal infection 95%
- The Autoimmune Susceptibility Gene, PTPN2, Restricts Expansion of a Novel Mouse Adherent-Invasive E. coli 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.