Bacterial lipoproteins and other factors released by Francisella tularensis modulate human neutrophil lifespan: Effects of a TLR1 SNP on apoptosis inhibition.
Lauren C KinkeadLaura C WhitmoreJenna M McCrackenJoshua R FletcherBrandi B KetelsenJustin W KaufmanBradley D JonesDavid S WeissJason H BarkerLee-Ann H AllenPublished in: Cellular microbiology (2017)
Francisella tularensis infects several cell types including neutrophils, and aberrant neutrophil accumulation contributes to tissue destruction during tularaemia. We demonstrated previously that F. tularensis strains Schu S4 and live vaccine strain markedly delay human neutrophil apoptosis and thereby prolong cell lifespan, but the bacterial factors that mediate this aspect of virulence are undefined. Herein, we demonstrate that bacterial conditioned medium (CM) can delay apoptosis in the absence of direct infection. Biochemical analyses show that CM contained F. tularensis surface factors as well as outer membrane components. Our previous studies excluded roles for lipopolysaccharide and capsule in apoptosis inhibition, and current studies of [14 C] acetate-labelled bacteria argue against a role for other bacterial lipids in this process. At the same time, studies of isogenic mutants indicate that TolC and virulence factors whose expression requires FevR or MglA were also dispensable, demonstrating that apoptosis inhibition does not require Type I or Type VI secretion. Instead, we identified bacterial lipoproteins (BLPs) as active factors in CM. Additional studies of isolated BLPs demonstrated dose-dependent neutrophil apoptosis inhibition via a TLR2-dependent mechanism that is significantly influenced by a common polymorphism, rs5743618, in human TLR1. These data provide fundamental new insight into pathogen manipulation of neutrophil lifespan and BLP function.
Keyphrases
- endoplasmic reticulum stress
- oxidative stress
- cell cycle arrest
- endothelial cells
- cell death
- toll like receptor
- inflammatory response
- escherichia coli
- immune response
- pseudomonas aeruginosa
- case control
- poor prognosis
- staphylococcus aureus
- induced pluripotent stem cells
- single cell
- stem cells
- biofilm formation
- mesenchymal stem cells
- machine learning
- signaling pathway
- antimicrobial resistance
- dna methylation
- binding protein
- deep learning
- genetic diversity