RESUMO

Pyometra has several immunological and molecular changes that are responsible for uterine inflammation and the disease may or may not have infections. This study aimed to isolate and identify bacteria in the uterine content of bitches with pyometra, to analyze the susceptibility profile to antibiotics, detect ß-lactamase enzyme production by phenotypic tests, and resistance genes to ß-lactams. Eighteen samples of uterine content were collected by aspiration puncture. The samples were inoculated in bacteriological media and identified by biochemical tests. Subsequently, antibiogram tests, screening for detection of ß-lactamases, and Real-Time PCR for detection of resistance genes was performed. Escherichia coli, Klebsiella spp., Enterobacter aerogenes, Citrobacter spp., Staphylococcus spp., and Streptococcus spp. were identified in the analyzed samples of uterine content. In the antibiogram test, 90.5% of the isolates showed resistance to at least one antibiotic, and of these, 36.8% were considered MDR, with three Staphylococcus spp., three E. coli, and one Klebsiellaspp. Concerning bacterial resistance to the groups of antibiotics tested, 38.1% of the isolates were resistant to at least one type of ß-lactam, 33.3% to tetracycline, 19.0% to aminoglycosides, and 14.3% to fluoroquinolones, macrolides, and trimethoprim-sulfamethoxazole. In the phenotypic test to detect ß-lactamase production, E. coli samples were negative and Klebsiella spp. was positive for the production of AmpC, which presented the blaCMY, blaSPM, and blaSIM genes. Bacteria that are resistant to antibiotics represent a great challenge and laboratory support is therefore essential, without which therapeutic success decreases and death may be inevitable.(AU)

A piometra apresenta diversas alterações imunológicas e moleculares que são responsáveis pela inflamação uterina, e a doença pode ser infecciosa ou não. O objetivo deste estudo foi isolar e identificar bactérias no conteúdo uterino de cadelas com piometra, analisar o perfil de suscetibilidade aos antibióticos, detectar a produção de enzimas ß-lactamase por testes fenotípicos e genes de resistência aos ß-lactâmicos. Dezoito amostras de conteúdo uterino foram coletadas por punção aspirativa. As amostras foram inoculadas em meio bacteriológico e identificadas por testes bioquímicos. Posteriormente, foram realizados testes de antibiograma, triagem para detecção de ß-lactamases e PCR em tempo real para detecção de genes de resistência. Escherichia coli, Klebsiella spp., Enterobacter aerogenes, Citrobacter spp., Staphylococcus spp. e Streptococcus spp. foram identificados nas amostras de conteúdo uterino analisadas. No teste de antibiograma, 90,5% dos isolados apresentaram resistência a pelo menos um antibiótico, e destes, 36,8% foram considerados MR, sendo três Staphylococcus spp., três E. coli e uma Klebsiella spp. Sobre a resistência bacteriana aos grupos de antibióticos testados, 38,1% dos isolados foram resistentes a pelo menos um tipo de ß-lactâmico, 33,3% à tetraciclina, 19,0% aos aminoglicosídeos e 14,3% às fluorquinolonas, macrolídeos e trimetoprim-sulfametoxazol. No teste fenotípico para detecção da produção de ß-lactamase, as amostras de E. coli foram negativas, e Klebsiella spp. foi positiva para a produção de AmpC, que apresentou os genes blaCMY, blaSPM e blaSIM. As bactérias resistentes aos antibióticos representam um grande desafio e, portanto, o suporte laboratorial é essencial, sem o qual o sucesso terapêutico diminui e a morte pode ser inevitável.(AU)

Assuntos

RESUMO

Pyometra has several immunological and molecular changes that are responsible for uterine inflammation and the disease may or may not have infections. This study aimed to isolate and identify bacteria in the uterine content of bitches with pyometra, to analyze the susceptibility profile to antibiotics, detect ß-lactamase enzyme production by phenotypic tests, and resistance genes to ß-lactams. Eighteen samples of uterine content were collected by aspiration puncture. The samples were inoculated in bacteriological media and identified by biochemical tests. Subsequently, antibiogram tests, screening for detection of ß-lactamases, and Real-Time PCR for detection of resistance genes was performed. Escherichia coli, Klebsiella spp., Enterobacter aerogenes, Citrobacter spp., Staphylococcus spp., and Streptococcus spp. were identified in the analyzed samples of uterine content. In the antibiogram test, 90.5% of the isolates showed resistance to at least one antibiotic, and of these, 36.8% were considered MDR, with three Staphylococcus spp., three E. coli, and one Klebsiellaspp. Concerning bacterial resistance to the groups of antibiotics tested, 38.1% of the isolates were resistant to at least one type of ß-lactam, 33.3% to tetracycline, 19.0% to aminoglycosides, and 14.3% to fluoroquinolones, macrolides, and trimethoprim-sulfamethoxazole. In the phenotypic test to detect ß-lactamase production, E. coli samples were negative and Klebsiella spp. was positive for the production of AmpC, which presented the blaCMY, blaSPM, and blaSIM genes. Bacteria that are resistant to antibiotics represent a great challenge and laboratory support is therefore essential, without which therapeutic success decreases and death may be inevitable.(AU)

A piometra apresenta diversas alterações imunológicas e moleculares que são responsáveis pela inflamação uterina, e a doença pode ser infecciosa ou não. O objetivo deste estudo foi isolar e identificar bactérias no conteúdo uterino de cadelas com piometra, analisar o perfil de suscetibilidade aos antibióticos, detectar a produção de enzimas ß-lactamase por testes fenotípicos e genes de resistência aos ß-lactâmicos. Dezoito amostras de conteúdo uterino foram coletadas por punção aspirativa. As amostras foram inoculadas em meio bacteriológico e identificadas por testes bioquímicos. Posteriormente, foram realizados testes de antibiograma, triagem para detecção de ß-lactamases e PCR em tempo real para detecção de genes de resistência. Escherichia coli, Klebsiella spp., Enterobacter aerogenes, Citrobacter spp., Staphylococcus spp. e Streptococcus spp. foram identificados nas amostras de conteúdo uterino analisadas. No teste de antibiograma, 90,5% dos isolados apresentaram resistência a pelo menos um antibiótico, e destes, 36,8% foram considerados MR, sendo três Staphylococcus spp., três E. coli e uma Klebsiella spp. Sobre a resistência bacteriana aos grupos de antibióticos testados, 38,1% dos isolados foram resistentes a pelo menos um tipo de ß-lactâmico, 33,3% à tetraciclina, 19,0% aos aminoglicosídeos e 14,3% às fluorquinolonas, macrolídeos e trimetoprim-sulfametoxazol. No teste fenotípico para detecção da produção de ß-lactamase, as amostras de E. coli foram negativas, e Klebsiella spp. foi positiva para a produção de AmpC, que apresentou os genes blaCMY, blaSPM e blaSIM. As bactérias resistentes aos antibióticos representam um grande desafio e, portanto, o suporte laboratorial é essencial, sem o qual o sucesso terapêutico diminui e a morte pode ser inevitável.(AU)

Assuntos

RESUMO

Real-time quantitative polymerase chain reaction (RT-qPCR) is usually employed in gene expression studies in veterinary research, including in studies on canine pyometra. Canine pyometra is a common clinical disease in bitches. When using RT-qPCR, internal standards, such as reference genes, are necessary to investigate relative gene expression by quantitative measurements of mRNA levels. The aim of this study was to evaluate the stability of reference genes and select reference genes suitable for canine pyometra studies. We collected 24 bitch uterine tissue samples, including five healthy and 19 pyometra infected samples. These were used to screen the best reference genes of seven candidate genes (18SrRNA, ACTB, B2M, GAPDH, HPRT, RPL13A, and YWHAZ). The method of KH Sadek and the GeNorm, Normfinder, BestKeeper, and RefFinder software were used to evaluate the stability of gene expression in both pyometra and healthy uterine samples. The results showed that the expression stability of the candidate gene in pyometra and healthy tissues differed. We showed that YWHAZ was the best reference gene, which could be used as an accurate internal control gene in canine pyometra studies. To further validate this recommendation, the expression profile of a target gene insulin-like growth factor 1 receptor gene (IGF1R) was investigated. We found that the expression of IGF1R was significantly altered when different reference genes were used. All reference genes identified in the present study will enable more accurate normalization of gene expression data in both pyometra infected and healthy uterine tissues.

Assuntos

RESUMO

Cystic endometrial hyperplasia (CEH), mucometra, and pyometra are common uterine diseases in intact dogs, with pyometra being a life threatening disease. This study aimed to determine the gene expression profile of these lesions and potential biomarkers for closed-cervix pyometra, the most severe condition. Total RNA was extracted from 69 fresh endometrium samples collected from 21 healthy female dogs during diestrus, 16 CEH, 15 mucometra and 17 pyometra (eight open and nine closed-cervixes). Global gene expression was detected using the Affymetrix Canine Gene 1.0 ST Array. Unsupervised analysis revealed two clusters, one mainly composed of diestrus and CEH samples and the other by 12/15 mucometra and all pyometra samples. When comparing pyometra with other groups, 189 differentially expressed genes were detected. SLPI, PTGS2/COX2, MMP1, S100A8, S100A9 and IL8 were among the top up-regulated genes detected in pyometra, further confirmed by external expression data. Notably, a particular molecular profile in pyometra from animals previously treated with exogenous progesterone compounds was observed in comparison with pyometra from untreated dogs as well as with other groups irrespective of exogenous hormone treatment status. In addition to S100A8 and S100A9 genes, overexpression of the inflammatory cytokines IL1B, TNF and IL6 as well as LTF were detected in the pyometra from treated animals. Interestingly, closed pyometra was more frequently detected in treated dogs (64% versus 33%), with IL1B, TNF, LBP and CXCL10 among the most relevant overexpressed genes. This molecular signature associated with potential biomarkers and therapeutic targets, such as CXCL10 and COX2, should guide future clinical studies. Based on the gene expression profile we suggested that pyometra from progesterone treated dogs is a distinct molecular entity.

Assuntos