ǂa ǂproof-of-concept study
Pouline M. van Oort (Avtor), Paul Brinkman (Avtor), Gitte Slingers (Avtor), Gudrun Koppen (Avtor), Adrie Maas (Avtor), Joris J. Roelofs (Avtor), Ronny Schnabel (Avtor), Dennis C. Bergmans (Avtor), M. Raes (Avtor), Royston Goodacre (Avtor), Stephen J Fowler (Avtor), Marcus J. Schultz (Avtor), Lieuwe D. Bos (Avtor), I. R. White (Avtor)

Povzetek

Volatile organic compounds in breath can reflect host and pathogen metabolism and might be used to diagnose pneumonia. We hypothesized that rats with Streptococcus pneumoniae (SP) or Pseudomonas aeruginosa (PA) pneumonia can be discriminated from uninfected controls by thermal desorption-gas chromatography-mass-spectrometry (TD-GC-MS) and selected ion flow tube-mass spectrometry (SIFT-MS) of exhaled breath. Male adult rats (n = 50) received an intratracheal inoculation of 1) 200 µl saline, or 2) 1 × 107 colony-forming units of SP or 3) 1 × 107 CFU of PA. Twenty-four hours later the rats were anaesthetized, tracheotomized, and mechanically ventilated. Exhaled breath was analyzed via TD-GC-MS and SIFT-MS. Area under the receiver operating characteristic curves (AUROCCs) and correct classification rate (CCRs) were calculated after leave-one-out cross-validation of sparse partial least squares-discriminant analysis. Analysis of GC-MS data showed an AUROCC (95% confidence interval) of 0.85 (0.73-0.96) and CCR of 94.6% for infected versus noninfected animals, AUROCC of 0.98 (0.94-1) and CCR of 99.9% for SP versus PA, 0.92 (0.83-1.00), CCR of 98.1% for SP versus controls and 0.97 (0.92-1.00), and CCR of 99.9% for PA versus controls. For these comparisons the SIFT-MS data showed AUROCCs of 0.54, 0.89, 0.63, and 0.79, respectively. Exhaled breath analysis discriminated between respiratory infection and no infection but with even better accuracy between specific pathogens. Future clinical studies should not only focus on the presence of respiratory infection but also on the discrimination between specific pathogens.

Ključne besede

biomarkers;exhaled breath analysis;infection;pneumonia;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UNG - Univerza v Novi Gorici
UDK: 61
COBISS: 5424379 Povezava se bo odprla v novem oknu
ISSN: 1522-1504
Št. ogledov: 2376
Št. prenosov: 0
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

URN: URN:SI:UNG
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: str. L751-L756
Letnik: ǂVol. ǂ316
Zvezek: ǂiss. ǂ5
Čas izdaje: 2019
DOI: 10.1152/ajplung.00449.2018
ID: 11192841