Factors Affecting Survival of Pseudomonas cepacia in Decongestant Nasal Sprays Containing Thimerosal as Preservative

DeCicco, B. T.; Lee, E.C.; Sorrentino, J.V.

doi:10.1002/jps.2600711112

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…Although originally described as a phytopathogen (3), Pseudomonas cepacia is now best characterized by extreme resistance to antimicrobial agents (8), metabolic diversity (22), and the ability to survive and grow in purified waters (4). These factors have led to the emergence of P. cepacia as a problem organism in health care product contamination (6,7,21), nosocomial infections (5,12,18), and recalcitrant infections of cystic fibrosis patients (19,23,24).…”

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Plasmids of Pseudomonas cepacia strains of diverse origins

Lennon

DeCicco

1991

Appl Environ Microbiol

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Thirty-seven strains of Pseudomonas cepacia from clinical, pharmaceutical-industrial, and environmental origins were analyzed for the presence of plasmid DNA by a modification of the rapid alkaline extraction method of Birnboim (H. C. Birnboim, Methods Enzymol. 100:243-255, 1983). Plasmids were present in 31 strains (84%) from all sources, with no one source showing less than 75% plasmid carriage among its strains. The plasmid profiles indicated that the presence of large plasmids (146 to 222 kb) was the norm. Those strains with greater antibiotic resistance were mainly in the clinical and pharmaceutical groups and carried large plasmids (222 kb) that appeared essentially identical by restriction digest analysis. The ability for conjugative transfer was shown with the broad-host-range plasmid R751 carrying the gene for resistance to trimethoprim, one of the few antimicrobial agents effective against P. cepacia. The plasmid was transferred from Pseudomonas aeruginosa to P. cepacia strains as well as from P. cepacia transconjugants to other P. cepacia strains.

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confidence: 99%

Plasmids of Pseudomonas cepacia strains of diverse origins

Lennon

DeCicco

1991

Appl Environ Microbiol

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“…They are also considered significant opportunistic human pathogens that produce a variety of potential virulence factors ( Mahenthiralingam et al, 2005 ) and could cause devastating infections in patients with bacteremia, septic arthritis, bacterial peritonitis, and cystic fibrosis that lead to high mortality in infected and immunocompromised patients ( Mahenthiralingam et al, 2008 ; Gautam et al, 2011 ; Datta et al, 2020 ; Wang and Cissé, 2020 ). BCC bacteria that could exhibit multiple antibiotic resistances are also essential pathogens of hospital-acquired infections ( Decicco et al, 2010 ; Sousa et al, 2011 ; Sfeir, 2018 ).…”

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Specific biomarker mining and rapid detection of Burkholderia cepacia complex by recombinase polymerase amplification

Fan,

Wang,

Song

et al. 2023

Front. Microbiol.

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ObjectiveTo mine specific proteins and their protein-coding genes as suitable molecular biomarkers for the Burkholderia cepacia Complex (BCC) bacteria detection based on mega analysis of microbial proteomic and genomic data comparisons and to develop a real-time recombinase polymerase amplification (rt-RPA) assay for rapid isothermal screening for pharmaceutical and personal care products.MethodsWe constructed an automatic screening framework based on Python to compare the microbial proteomes of 78 BCC strains and 263 non-BCC strains to identify BCC-specific protein sequences. In addition, the specific protein-coding gene and its core DNA sequence were validated in silico with a self-built genome database containing 158 thousand bacteria. The appropriate methodology for BCC detection using rt-RPA was evaluated by 58 strains in pure culture and 33 batches of artificially contaminated pharmaceutical and personal care products.ResultsWe identified the protein SecY and its protein-coding gene secY through the automatic comparison framework. The virtual evaluation of the conserved region of the secY gene showed more than 99.8% specificity from the genome database, and it can distinguish all known BCC species from other bacteria by phylogenetic analysis. Furthermore, the detection limit of the rt-RPA assay targeting the secY gene was 5.6 × 102 CFU of BCC bacteria in pure culture or 1.2 pg of BCC bacteria genomic DNA within 30 min. It was validated to detect <1 CFU/portion of BCC bacteria from artificially contaminated samples after a pre-enrichment process. The relative trueness and sensitivity of the rt-RPA assay were 100% in practice compared to the reference methods.ConclusionThe automatic comparison framework for molecular biomarker mining is straightforward, universal, applicable, and efficient. Based on recognizing the BCC-specific protein SecY and its gene, we successfully established the rt-RPA assay for rapid detection in pharmaceutical and personal care products.

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