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REMCB 38 (1): 35-44, 2017
INTRODUCTION
Pseudomonas aeruginosa is one of the most com-
monly isolated Gram negative bacteria in hospi-
tal-acquired infections. Multi-drug resistant strains
are a growing problem in health care settings, es-
pecially in extremely ill patients at intensive care
units (Obritsch et al. 2004). Eradication of the in-
fection is complex due to the intrinsic capacity of
P. aeruginosa to decrease its membrane per-
meability, to express efux pumps, to produ-
ce antimicrobial-degrading enzymes and to
acquire new resistance mechanisms throu-
gh mutations or plasmids (Luján Roca 2014).
The genome of the wild type P. aeruginosa strain
(PAO1) revealed the presence of an unusually high
number of genes involved in the regulation of bac-
terial pathogenicity (Kipnis et al. 2006 Stover et al.
2000 Woods 2004). For instance, the OprD chan-
nel allows access to carpabenems such as merope-
nem and imipenem (Hancock and Brinkman 2002,
Nikaido 1989). OprD-mediated resistance might
be related to different mechanisms that decrease
expression of a normally functioning porin, inclu-
ding mutations that cause translational disruptions
(Yoneyama and Nakae 1993). Furthermore, the pro-
duction of AmpC β-lactamase confers resistance to
most penicillin, cephalosporin and cefamicins and
shows variable results for aztreonam. However, the
expression at basal levels of ampC is not enough
alone to determine anti-pseudomonal β-lactams re-
sistance (Giwercman et al. 1990) Overexpression of
ampC and regulation of the factor AmpR are neces-
sary to acquire a resistant phenotype (Jacoby 2009).
A ve-year report (1997–2001) of the SENTRY
Antimicrobial Surveillance in the Latin American
region found a signicant rise of resistance rates to
commonly used anti-pseudomonal antibiotics over
a relatively short period of time (Andrade et al.
2003). In 2008 in Ecuador, the National Antimicro-
bial Resistance Network (REDNARBEC) reported
antibiotic resistance rates ranging from 25% for
amikacine to 45% for aztreonam, with even higher
rates in intensive care units. However, the majority
of the available local studies on antimicrobial resis-
tance are based on phenotypic proles (AST). For
this reason, we wanted to achieve a better unders-
tanding of the molecular mechanisms involved in
antimicrobial resistance in Pseudomonads in clini-
cal settings. The methodology used for this purpose
is described in the next section of this study.
The aims of this study were thus (i) to analyze
ampC and oprD expression levels, and (ii) to
compare gene expression proles for suscep-
tible and antibiotic-resistant Pseudomonas
aeruginosa isolates obtained from a referral hos-
pital in Ecuador in order to clarify their molecular
mechanisms of resistance.
MATERIALS AND METHODS
Clinical isolates and controls.- One hundred
P. aeruginosa clinical isolates were collected from
the Bacteriology Laboratory, Carlos Andrade Ma-
rin Hospital (HCAM) in Quito, one of Ecuador’s
largest hospitals. Due to their genotypic proles,
the clinical isolates P.a.119 is an antibiotic suscep-
tible and P.a.5 is an antibiotic resistant control. Ad-
ditionally, six of the isolates were unable to grow.
Consequently, this study was performed using 92
clinical isolates that were recovered either from
their corresponding culture plate from AST plates,
which included 5 anti-pseudomonal agents (ATM:
aztreonam; CAZ: ceftazidime; TPZ: piperacilin-ta-
zobactam; IMP: imipenem and MEM: meropenem)
or from the primary clinical isolate in MacConkey
agar, depending on isolate availability in the hos-
pital lab. AST was performed in the Bacteriology
Lab by qualied microbiology technicians. Sus-
ceptibility break points followed the accepted lab
standards at the time (CLSI). Results from the full
AST panels are not included in this study. Upon
collection, a single colony from each clinical iso-
late was transferred to BD Pseudomonas Isolation
Agar (DIFCO, Sparks). Bacterial suspensions (in
glycerol 15%) were then deep frozen at -80°C.
Primer and probe design.- Four sequence align-
ment runs were performed with the Clustal X 2.0
software (European Bioinformatics Institute, 2007)
for ampC, oprD and rpsL (used as normalizer in this
study) gene sequences of the P. aeruginosa reference
strains PAO1 (ID:878149, ID:881970, ID:881701),
PA7 (ID:5353514; ID:5358647; ID: 5356699,
UCBPP (ID:4382097;ID:4380780; ID:4381343 ),
and LESB58 (ID:7175766; ID: 7180952 ). Sequen-
ces were obtained from the GeneBank database
(National Centre for Biotechnology Information)
and the Pseudomonas Genome Database (Winsor
et al. 2011). A combination of primers and Taq-
man® probes were designed by using the Primer
Express® software package (Applied Biosystems,
USA), Olygo Analyzer (Integrated DNA Technolo-
gies) and BLASTn (National Library of Medicine).
(See Table S1 Supporting information.)
RNA isolation.- 100µL of the stored bacterial sus-