title: Influence of microbiome species in hard-to-heal wounds on disease severity and treatment duration.
abstract: BACKGROUND
  Infections, mostly those associated with colonization of wound by different pathogenic microorganisms, are one of the most serious health complications during a medical treatment. Therefore, this study is focused on the isolation, characterization, and identification of microorganisms prevalent in superficial wounds of patients (n=50) presenting with bacterial infection.
  
  
  METHODS
  After successful cultivation, bacteria were processed and analyzed. Initially the identification of the strains was performed through matrix-assisted laser desorption/ionization time-of-flight mass spectrometry based on comparison of protein profiles (2-30kDa) with database. Subsequently, bacterial strains from infected wounds were identified by both matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and sequencing of 16S rRNA gene 108.
  
  
  RESULTS
  The most prevalent species was Staphylococcus aureus (70%), and out of those 11% turned out to be methicillin-resistant (mecA positive). Identified strains were compared with patients' diagnoses using the method of artificial neuronal network to assess the association between severity of infection and wound microbiome species composition. Artificial neuronal network was subsequently used to predict patients' prognosis (n=9) with 85% success.
  
  
  CONCLUSIONS
  In all of 50 patients tested bacterial infections were identified. Based on the proposed artificial neuronal network we were able to predict the severity of the infection and length of the treatment.
authors.affiliation: Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka, Czech Republic.
authors.forename: Dagmar
authors.initials: D
authors.lastname: Chudobova
authors.affiliation: Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka, Czech Republic.
authors.forename: Kristyna
authors.initials: K
authors.lastname: Cihalova
authors.affiliation: Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka, Czech Republic.
authors.forename: Roman
authors.initials: R
authors.lastname: Guran
authors.affiliation: Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka, Czech Republic.
authors.forename: Simona
authors.initials: S
authors.lastname: Dostalova
authors.affiliation: Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka, Czech Republic.
authors.forename: Kristyna
authors.initials: K
authors.lastname: Smerkova
authors.affiliation: Department of Traumatology at the Medical Faculty, Masaryk University and Trauma Hospital of Brno, Ponavka, Czech Republic.
authors.forename: Radek
authors.initials: R
authors.lastname: Vesely
authors.affiliation: Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska, Czech Republic; Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Kamenice, Czech Republic.
authors.forename: Jaromir
authors.initials: J
authors.lastname: Gumulec
authors.affiliation: Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska, Czech Republic; Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Kamenice, Czech Republic.
authors.forename: Michal
authors.initials: M
authors.lastname: Masarik
authors.affiliation: Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka, Czech Republic.
authors.forename: Zbynek
authors.initials: Z
authors.lastname: Heger
authors.affiliation: Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka, Czech Republic.
authors.forename: Vojtech
authors.initials: V
authors.lastname: Adam
authors.affiliation: Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka, Czech Republic. Electronic address: kizek@sci.muni.cz.
authors.forename: Rene
authors.initials: R
authors.lastname: Kizek
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015373:Bacterial Typing Techniques / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D064307:Microbiota; D008875:Middle Aged; D016571:Neural Networks, Computer; D010802:Phylogeny; D012336:RNA, Ribosomal, 16S / Q000235:genetics*; D012720:Severity of Illness Index; D013997:Time Factors; D014946:Wound Infection / Q000382:microbiology*; D055815:Young Adult
chemical_list: D012336:RNA, Ribosomal, 16S
keywords: Bacterial strains; MALDI-TOF; Sequencing; Superficial wounds