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1.
Microorganisms ; 12(4)2024 Apr 03.
Artigo em Inglês | MEDLINE | ID: mdl-38674668

RESUMO

Bacillus and related genera are among the most important contaminants in the pharmaceutical production environment, and the identification of these microorganisms at the species level assists in the investigation of sources of contamination and in preventive and corrective decision making. The aim of this study was to evaluate three methodologies for the characterization of endospore-forming aerobic bacterial strains isolated from a pharmaceutical unit in Rio de Janeiro, Brazil. MALDI-TOF MS was performed using MALDI Biotyper® and VITEK® MS RUO systems, and complete 16S rRNA gene sequencing was performed using the Sanger methodology. The results showed the prevalence of the genera Bacillus (n = 9; 36.0%), Priestia (n = 5; 20.0%), and Paenibacillus (n = 4; 16.0%). Three (20.0%) strains showed <98.7% of DNA sequencing similarity on the EzBioCloud Database, indicating possible new species. In addition, the reclassification of Bacillus pseudoflexus to the genus Priestia as Priestia pseudoflexus sp. nov. is proposed. In conclusion, 16S rRNA and MALDI TOF/MS were not sufficient to identify all strains at the species level, and complementary analyses were necessary.

2.
J Appl Microbiol ; 134(10)2023 Oct 04.
Artigo em Inglês | MEDLINE | ID: mdl-37838475

RESUMO

AIMS: Evaluate methods for identification and typing of Stenotrophomonas maltophilia isolated from a pharmaceutical facility. METHODS AND RESULTS: From 270 S. maltophilia strains identified by VITEK®2, 40 were selected and submitted to MALDI TOF-MS, 16S and 23S rRNA gene analysis, enterobacterial repetitive intergenic consensus-polymerase chain reaction (ERIC-PCR), and an antimicrobial susceptibility profile. 16S rRNA sequencing was able to identify 39 (97.5%) strains as Stenotrophomonas spp. and one (2.5%) as Luteimonas huabeiensis. MALDI TOF-MS identified 37 (92.5%) strains as S. maltophilia, and three (7.5%) were not identified. PCR targeting 23S rRNA yielded a positive result for 39 (97.5%) strains. However, after sequencing, two strains were identified as Stenotrophomonas rhizophila, showing false-positive results. The confirmed S. maltophilia strains (n = 37) showed 35 distinct ERIC-PCR profiles and exhibited sensitivity to minocycline and levofloxacin, and six (16.3%) showed intermediate resistance to sulfamethoxazole-trimethoprim. CONCLUSION: Matrix-assisted laser desorption lonization-time of flight mass spectrometry (MALDI-TOF MS) was a satisfactory methodology for the identification of S. maltophilia, but expansion of the database is necessary for the identification of other species. 16S rDNA sequencing showed low resolution for Stenotrophomonas species differentiation. PCR targeting 23S rRNA could not differentiate S. maltophilia from S. rhizophila. ERIC-PCR was shown to be a useful tool for the microbial source tracking of S. maltophilia.


Assuntos
Infecções por Bactérias Gram-Negativas , Stenotrophomonas maltophilia , Humanos , Stenotrophomonas maltophilia/genética , RNA Ribossômico 16S/genética , Combinação Trimetoprima e Sulfametoxazol , Minociclina , Levofloxacino , Infecções por Bactérias Gram-Negativas/microbiologia , Antibacterianos/farmacologia , Testes de Sensibilidade Microbiana
3.
Lett Appl Microbiol ; 76(9)2023 Sep 01.
Artigo em Inglês | MEDLINE | ID: mdl-37660241

RESUMO

Characterizing microorganisms according to different criteria is useful when investigating sources of microbiological contamination in the pharmaceutical industry. The aim of this study was to characterize 38 Acinetobacter baumannii complex strains isolated from a biopharmaceutical industry by 16S rRNA sequencing, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF/MS), multilocus sequence typing (MLST), antimicrobial susceptibility profile, biofilm formation, and sensibility to disinfectants. Thirty-three (86.9%) strains were identified by 16S rRNA gene sequencing as A. seifertii/pitti/nosocomialis/lactucae, four (10.5%) as A. baumannii, and one (2.6%) as A. vivianii/courvalini. MALDI-TOF/MS did not identify one strain, and incorrectly identified 30/37 (81.1%) strains as A. baumannii. Strains were assigned to 12 different STs, of which nine were newly defined in this study (STs 2091-2099). Twenty-six (68.4%) strains showed resistance to amikacin and gentamicin. Thirty-three (86.8%) strains were classified as moderately or strongly adherent on polystyrene. Alcohol 70%/15 min and quaternary ammonium 0.08%/20 min were not able to eliminate the biofilm formed, but sodium hypochlorite 0.1%/15 min was efficient. In conclusion, improved methods are needed to improve the identification of Acinetobacter strains in pharmaceutical industries. This organism is of particular concern as it forms recalcitrant biofilms, leading to persistence in the manufacturing environment and increased risk of product contamination.


Assuntos
Acinetobacter baumannii , Tipagem de Sequências Multilocus , RNA Ribossômico 16S/genética , Acinetobacter baumannii/genética , Amicacina , Preparações Farmacêuticas
4.
Lett Appl Microbiol ; 76(5)2023 May 02.
Artigo em Inglês | MEDLINE | ID: mdl-37120730

RESUMO

The pharmaceutical industry must comply with the requirements for good manufacturing practices to reduce inherent contamination risks in the production process. Bacillus and related genera are among the main bacterial isolated from clean areas, raw material, and products in the pharmaceutical industries, but the correct identification of these species is still a challenge. The aim of this study was to characterize by phenotyping, protein profiling, and 16S rRNA gene sequencing Sutcliffiellahorikoshii strains (n = 6) isolated from an immunobiological pharmaceutical facility, and to propose the reclassification of Bacillus tianshenii to the genus Sutcliffiella, and Sutcliffiella tianshenii sp. nov. The strains were characterized by VITEK®2, matrix-assisted laser desorption ionization-time of flight/mass spectrometry (MALDI-TOF/MS) using VITEK®MS, and 16S rRNA gene sequencing analysis. MALDI-TOF/MS did not identify any strains that were identified by 16S rRNA as S. horikoshii. VITEK®2 showed false-positive results, with misidentification as B. sporothermodurans (reclassified as Heyndrickxia sporothermodurans) and Geobacillus thermoleovorans. After MALDI-TOF/MS database expansion, with the creation of SuperSpectrum, the strains were correctly identified as S. horikoshii. This study is the first report of isolation of S. horikoshii strains from a pharmaceutical industry. More studies are necessary to better understand the ability of S. horikoshii to contaminate the environment and products.


Assuntos
Bacillus , Bactérias , Técnicas de Tipagem Bacteriana/métodos , RNA Ribossômico 16S/genética , Bacillus/genética , Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz/métodos
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