Fungal biomarker discovery by integration of classifiers.

Saraiva JP, Oswald M, Biering A, Röll D, Assmann C, Klassert T, Blaess M, Czakai K, Claus R, Löffler J, Slevogt H, König R. (2017) Fungal biomarker discovery by integration of classifiers. BMC Genomics 18(1), 601.

Abstract

The human immune system is responsible for protecting the host from infection. However, in immunocompromised individuals the risk of infection increases substantially with possible drastic consequences. In extreme, systemic infection can lead to sepsis which is responsible for innumerous deaths worldwide. Amongst its causes are infections by bacteria and fungi. To increase survival, it is mandatory to identify the type of infection rapidly. Discriminating between fungal and bacterial pathogens is key to determine if antifungals or antibiotics should be administered, respectively. For this, in situ experiments have been performed to determine regulation mechanisms of the human immune system to identify biomarkers. However, these studies led to heterogeneous results either due different laboratory settings, pathogen strains, cell types and tissues, as well as the time of sample extraction, to name a few.

Beteiligte Forschungseinheiten

Netzwerkmodellierung

Leibniz-HKI-Autor*innen

Antje Biering
Rainer König
Joao Pedro Leonor Fernandes Saraiva
Marcus Oswald
Daniela Röll

Identifier

doi: 10.1186/s12864-017-4006-x

PMID: 28797245