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Posteraro, B.

Publications and source records attributed to Posteraro, B..

3 recordsLinked to original sources

Screening clinical Candida albicans isolates for invasiveness by mimicking the human environment

ObjectivesCandida albicans colonizes a wide range of human body niches, but also causes severe invasive infections, such as candidemia. No screening method exists to predict which colonizer may lead to invasive infections. Invasiveness and virulence are associated with yeast filamentation, triggered by environmental factors encountered in the host. Here, we monitored the filamentation profile and colony appearance time of a C.albicans strain isolated from a patients abscess. Using eight additional C.albicans clinical isolates, we established an in vitro screening-framework of filamentation to assess the invasiveness potential of individual isolates. MethodsWe monitored the filamentation pattern of nine C.albicans clinical isolates over 14 days in 48 environmental conditions, including combinations of glucose/nitrogen concentrations, pH and temperature, to mimic host environment variations. Additionally, we tested invasiveness by growing isolates on modified filtration membranes, mimicking physical human body barriers usually colonized by Candida. An automated image analysis pipeline was developed to quantify filamentation. ResultsTwo types of colony filamentation morphology were differentiated, star and hazy. The total filamentation area depended on environmental factors. Based on their filamentation response to environmental changes, the isolates clustered in three distinct groups reflecting their site of isolation in the host. We moreover found that filamentation morphologies on modified filtration membranes could be predictors of invasiveness. ConclusionThis work lays the ground for screening assays, which could help assessing the potential of a colonizing Candida isolate to cause invasive disease, paving the way for tailored preventive therapy regimens in the future.

microbiology↗

Machine learning pattern recognition and differential network analysis of gastric microbiome in the presence of proton pump inhibitor treatment or Helicobacter pylori infection

Although long thought to be a sterile and inhospitable environment, the stomach is inhabited by diverse microbial communities, co-existing in a dynamic balance. Long-term use of orally administered drugs such as Proton Pump Inhibitors (PPIs), or bacterial infection such as Helicobacter pylori, cause significant microbial alterations. Yet, studies revealing how the commensal bacteria re-organize, due to these perturbations of the gastric environment, are in the early phase. They mainly focus on the most prevalent taxa and rely on linear techniques for multivariate analysis. Here we disclose the importance of complementing linear dimensionality reduction techniques such as Principal Component Analysis and Multidimensional Scaling with nonlinear approaches derived from the physics of complex systems. Then, we show the importance to complete multivariate pattern analysis with differential network analysis, to reveal mechanisms of re-organizations which emerge from combinatorial microbial variations induced by a medical treatment (PPIs) or an infectious state (H. pylori).

systems biology↗

Different detection capabilities by mycological media for Candida isolates from mono- or dual-species cultures

ObjectivesThe aim of this study was to compare the Candida bromcresol green (BCG) medium with the chromogenic (CHROM) Brilliance Candida agar and Sabouraud dextrose agar (SDA) media in regard to their capability of detecting Candida isolates from mono-or dual-species cultures. MethodsWe prepared Candida isolates suspensions to obtain mono-species (n = 18) or dual-species (n = 153) culture plates per each medium, and three readers independently observed 513 plates at 24-h, 48-h and 72-h incubation time. We scored reading results as correct, over or under detection compared to the expected species number(s). ResultsBCG showed significantly higher correct-detection and lower under-detection rates for all Candida species when observed by at least one reader. At 24-h reading, 12 mono-species cultures had correct (or over) detections in all media, whereas 106, 60 and 78 dual-species cultures had correct (or over) detections in BCG, CHROM or SDA, respectively. ConclusionBCG provides the basis for an accurate laboratory diagnosis of Candida infections.

microbiology↗