Integration of microbiological, epidemiological and next generation sequencing technologies data for the managing of nosocomial infections

Submitted: 19 February 2018
Accepted: 19 February 2018
Published: 27 February 2018
Abstract Views: 1496
PDF: 516
HTML: 382
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

At its core, the work of clinical microbiologists consists in the retrieving of a few bytes of information (species identification; metabolic capacities; staining and antigenic properties; antibiotic resistance profiles, etc.) from pathogenic agents. The development of next generation sequencing technologies (NGS), and the possibility to determine the entire genome for bacterial pathogens, fungi and protozoans will likely introduce a breakthrough in the amount of information generated by clinical microbiology laboratories: from bytes to Megabytes of information, for a single isolate. In parallel, the development of novel informatics tools, designed for the management and analysis of the so-called Big Data, offers the possibility to search for patterns in databases collecting genomic and microbiological information on the pathogens, as well as epidemiological data and information on the clinical parameters of the patients. Nosocomial infections and antibiotic resistance will likely represent major challenges for clinical microbiologists, in the next decades. In this paper, we describe how bacterial genomics based on NGS, integrated with novel informatic tools, could contribute to the control of hospital infections and multi-drug resistant pathogens.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

How to Cite

Brilli, M., Comandatore, F., Piazza, A., Zuccotti, G. V., & Bandi, C. (2018). Integration of microbiological, epidemiological and next generation sequencing technologies data for the managing of nosocomial infections. Microbiologia Medica, 32(4). https://doi.org/10.4081/mm.2017.7359