During an infection, the detection of pathogens is mediated through the interactions between pathogen‐associated molecular patterns (PAMPs) and pathogen recognition receptors. β‐Heptose 1,7‐bisphosphate (βHBP), an intermediate of the lipopolysaccharide (LPS) biosynthesis pathway, was recently identified as a bacterial PAMP. It was reported that βHBP sensing leads to oligomerization of TIFA proteins, a mechanism controlling NF‐κB activation and pro‐inflammatory gene expression. Here, we compare the ability of chemically synthesized βHBP and Shigella flexneri lysate to induce TIFA oligomerization in epithelial cells. We find that, unlike bacterial lysate, βHBP fails to initiate rapid TIFA oligomerization. It only induces delayed signaling, suggesting that βHBP must be processed intracellularly to trigger inflammation. Gene deletion and complementation analysis of the LPS biosynthesis pathway revealed that ADP‐heptose is the bacterial metabolite responsible for rapid TIFA oligomerization. ADP‐heptose sensing occurs down to 10−10 M. During S. flexneri infection, it results in cytokine production, a process dependent on the kinase ALPK1. Altogether, our results rule out a major role of βHBP in S. flexneri infection and identify ADP‐heptose as a new bacterial PAMP.
Bacterial acute pneumonia is responsible for an extremely large burden of death worldwide and diagnosis is paramount in the management of patients. While multidrug-resistant bacteria is one of the biggest health threats in the coming decades, clinicians urgently need access to novel diagnostic technologies. In this review, we will first present the already existing and largely used techniques that allow identifying pathogen-associated pneumonia. Then, we will discuss the latest and most promising technological advances that are based on connected technologies (artificial intelligence-based and Omics-based) or rapid tests, to improve the management of lung infections caused by pathogenic bacteria. We also aim to highlight the mutual benefits of fundamental and clinical studies for a better understanding of lung infections and their more efficient diagnostic management.
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