Quantification of cell infection caused by Listeria monocytogenes invasion

A case report of diagnosis and dynamic monitoring of Listeria monocytogenes meningitis with NGS

Listeria monocytogenes (LM) infections of the central nervous system are deadly and have vague symptoms. Traditional cerebro spinal fluid culture has a low positive rate, and because antibiotic use is common following therapy, it is more challenging to assess the response from pathogen content. In this case, a 66-year-old man who had a fever, a headache, and vomit was admitted to the hospital. He had diabetes, decline in thyroid function, and a history of pituitary tumor removal surgery. His initial treatment with ribavirin, ceftriaxone antibiotic, and moxifloxacin did not go well. Using two etiological tests (culture and metagenomic next-generation sequencing [mNGS]), his cerebrospinal fluid tested positively for LM. Ampicillin-sulbactam and meropenem were used as treatments once LM meningitis was identified. After treatment, his cerebrospinal fluid was assessed once more. Culture: negative; targeted next-generation sequencing (tNGS): positive and shows changes in the copy number of the LM. After 44 days of treatment, the patient finally stopped taking antibiotics, and the prognosis was good. Our study showed that mNGS and tNGS, as novel approaches for pathogen detection, are capable of identifying pathogens quickly, sensitively, and accurately, especially when there are few infections present (such as after antibiotic treatment). The two methods can be a powerful assistance for helping clinicians to choose the best course of action.

A High-throughput, High-content, Liquid-based C. elegans Pathosystem

The number of new drugs identified by traditional, in vitro screens has waned, reducing the success of this approach in the search for new weapons to combat multiple drug resistance. This has led to the conclusion that researchers do not only need to find new drugs, but also need to develop new ways of finding them. Amongst the most promising candidate methods are whole-organism, in vivo assays that use high-throughput, phenotypic readouts and hosts that range from Caenorhabditis elegans to Danio rerio. These hosts have several powerful advantages, including dramatic reductions in false positive hits, as compounds that are toxic to the host and/or biounavailable are typically dropped in the initial screen, prior to costly follow up. Here we show how our assay has been used to interrogate host variation in the well-documented C. elegans-Pseudomonas aeruginosa liquid killing pathosystem. We also demonstrate several extensions of this well-worked out technique. For example, we are able to carry out high-throughput genetic screens using RNAi in 24- or 96-well plate formats to query host factors in this host-pathogen interaction. Using this assay, whole genome screens can be completed in only a few months, which can dramatically simplify the task of identifying drug targets, potentially without the need for laborious biochemical purification approaches. We also report here a variation of our method that substitutes the gram-positive bacterium Enterococcus faecalis for the gram-negative pathogen P. aeruginosa. Much as is the case for P. aeruginosa, killing by E. faecalis is time-dependent. Unlike previous C. elegans-E. faecalis assays, our assay for E. faecalis does not require preinfection, improving its safety profile and reducing the chances of contaminating liquid-handling equipment. The assay is highly robust, showing ~95% death rates 96 h post infection.

An Emerging Approach for Parallel Quantification of Intracellular Protozoan Parasites and Host Cell Characterization Using TissueFAXS Cytometry

Characterization of host-pathogen interactions is a fundamental approach in microbiological and immunological oriented disciplines. It is commonly accepted that host cells start to change their phenotype after engulfing pathogens. Techniques such as real time PCR or ELISA were used to characterize the genes encoding proteins that are associated either with pathogen elimination or immune escape mechanisms. Most of such studies were performed in vitro using primary host cells or cell lines. Consequently, the data generated with such approaches reflect the global RNA expression or protein amount recovered from all cells in culture. This is justified when all host cells harbor an equal amount of pathogens under experimental conditions. However, the uptake of pathogens by phagocytic cells is not synchronized. Consequently, there are host cells incorporating different amounts of pathogens that might result in distinct pathogen-induced protein biosynthesis. Therefore, we established a technique able to detect and quantify the number of pathogens in the corresponding host cells using immunofluorescence-based high throughput analysis. Paired with multicolor staining of molecules of interest it is now possible to analyze the infection profile of host cell populations and the corresponding phenotype of the host cells as a result of parasite load.