DNA microarray analysis of Staphylococcus aureus causing bloodstream infection: bacterial genes associated with mortality?
Providing evidence for microbial genetic determinants’ impact on outcome in Staphylococcus aureus bloodstream infections (SABSI) is challenging due to the complex and dynamic microbe–host interaction. Our recent population-based prospective study reported an association between the S. aureus clonal...
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Veröffentlicht in: | European journal of clinical microbiology & infectious diseases 2016-08, Vol.35 (8), p.1285-1295 |
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Sprache: | eng |
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Zusammenfassung: | Providing evidence for microbial genetic determinants’ impact on outcome in
Staphylococcus aureus
bloodstream infections (SABSI) is challenging due to the complex and dynamic microbe–host interaction. Our recent population-based prospective study reported an association between the
S. aureus
clonal complex (CC) 30 genotype and mortality in SABSI patients. This follow-up investigation aimed to examine the genetic profiles of the SABSI isolates and test the hypothesis that specific genetic characteristics in
S. aureus
are associated with mortality. SABSI isolates (
n
= 305) and
S. aureus
CC30 isolates from asymptomatic nasal carriers (
n
= 38) were characterised by DNA microarray analysis and
spa
typing. Fisher’s exact test, least absolute shrinkage and selection operator (LASSO) and elastic net regressions were performed to discern within four groups defined by patient outcome and characteristics. No specific
S. aureus
genetic determinants were found to be associated with mortality in SABSI patients. By applying LASSO and elastic net regressions, we found evidence suggesting that
agrIII
and
cna
were positively and
setC
(=
selX
) and
seh
were negatively associated with
S. aureus
CC30 versus non-CC30 isolates. The genes
chp
and
sak
, encoding immune evasion molecules, were found in higher frequencies in CC30 SABSI isolates compared to CC30 carrier isolates, indicating a higher virulence potential. In conclusion, no specific
S. aureus
genes were found to be associated with mortality by DNA microarray analysis and state-of-the-art statistical analyses. The next natural step is to test the hypothesis in larger samples with higher resolution methods, like whole genome sequencing. |
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ISSN: | 0934-9723 1435-4373 |
DOI: | 10.1007/s10096-016-2663-3 |