Novas estratégias para entender o sistema de influxo de antibióticos e a resistência antimicrobiana a nível molecular

As fluoroquinolonas são antibióticos que têm um largo espectro de ação contra bactérias, especialmente Gram-negativas. O seu mecanismo de ação assenta na inibição de enzimas responsáveis pela replicação do DNA. Porém, devido ao seu uso indevido, o surgimento de resistência bacteriana a estes antibióticos tem-se tornado um grave problema de saúde pública. Uma vez que os seus alvos de ação se situam no meio intracelular, a redução da permeabilidade da membrana externa de bactérias Gram-negativas constitui um dos mecanismos de resistência mais conhecidos. Esta redução é associada à baixa expressão ou mutações em porinas necessárias para permitir o seu transporte, mais concretamente, da OmpF. Estudos prévios demonstraram que a coordenação de fluoroquinolonas com iões metálicos divalentes e 1,10-fenantrolina (genericamente designados metaloantibióticos) são potenciais candidatos como alternativa às fluoroquinolonas convencionais. Estes metaloantibióticos exibem um efeito antimicrobiano comparável ou superior à fluoroquinolona na forma livre, mas parecem ter uma via de translocação diferente, independente de porinas. Estas diferenças no mecanismo de captura podem ser fundamentais para contornar a resistência bacteriana. De forma a compreender o papel dos lípidos no mecanismo de entrada dos metaloantibióticos, estudou-se a interação e localização dos metaloantibióticos da Ciprofloxacina (2ª geração), da Levofloxacina (3ª geração) e Moxifloxacina (4ª geração) com um modelo de membranas de Escherichia coli desprovido de porinas. Estes estudos foram realizados através de técnicas de espectroscopia de fluorescência, por medições em modo estacionário e resolvida no tempo. Os coeficientes de partição determinados demonstraram uma interação mais elevada dos metaloantibióticos relativamente às respetivas fluoroquinolonas na forma livre, um facto que está diretamente relacionado com as espécies existentes em solução a pH fisiológico. Os estudos de localização mostraram que estes metaloantibióticos devem estar inseridos na membrana bacteriana, confirmando a sua entrada independente de porinas. Este mecanismo de entrada, pela via hidrofóbica, é potenciado por interações eletrostáticas entre as espécies catiónicas de metaloantibiótico que existem a pH 7,4 e os grupos carregados negativamente dos fosfolípidos da membrana. Desta forma, os resultados obtidos neste estudo sugerem que a via de entrada dos metaloantibióticos e das respetivas fluoroquinolonas deve ser diferente. Os metaloantibióticos são candidatos adequados para a realização de mais testes laboratoriais e uma alternativa promissora para substituir as fluoroquinolonas convencionais, uma vez que parecem ultrapassar um dos principais mecanismos de resistência bacteriana a esta classe de antibióticos.

Study of tRNA modifying enzymes and codon usage bias in cancer

Recent evidences indicate that tRNA modifications and tRNA modifying enzymes may play important roles in complex human diseases such as cancer, neurological disorders and mitochondrial-linked diseases. We postulate that expression deregulation of tRNA modifying enzymes affects the level of tRNA modifications and, consequently, their function and the translation efficiency of their tRNA corresponding codons. Due to the degeneracy of the genetic code, most amino acids are encoded by two to six synonymous codons. This degeneracy and the biased usage of synonymous codons cause alterations that can span from protein folding to enhanced translation efficiency of a select gene group. In this work, we focused on cancer and performed a meta-analysis study to compare microarray gene expression profiles, reported by previous studies and evaluate the codon usage of different types of cancer where tRNA modifying enzymes were found de-regulated. A total of 36 different tRNA modifying enzymes were found de-regulated in most cancer datasets analyzed. The codon usage analysis revealed a preference for codons ending in AU for the up-regulated genes, while the down-regulated genes show a preference for GC ending codons. Furthermore, a PCA biplot analysis showed this same tendency. We also analyzed the codon usage of the datasets where the CTU2 tRNA modifying enzyme was found deregulated as this enzyme affects the wobble position (position 34) of specific tRNAs. Our data points to a distinct codon usage pattern between up and downregulated genes in cancer, which might be caused by the deregulation of specific tRNA modifying enzymes. This codon usage bias may augment the transcription and translation efficiency of some genes that otherwise, in a normal situation, would be translated less efficiently.

Revisiting molecular diagnostics of Streptococcus pneumoniae

Streptococcus pneumoniae is a human pathobiont that colonizes the nasopharynx. S. pneumoniae is responsible for causing non-invasive and invasive disease such as otitis, pneumonia, meningitis, and sepsis, being a leading cause of infectious diseases worldwide. Due to similarities with closely related species sharing the same niche, it may be a challenge to correctly distinguish S. pneumoniae from its relatives when using only non-culture based methods such as real time PCR (qPCR). In 2007, a molecular method targeting the major autolysin (lytA) of S. pneumoniae by a qPCR assay was proposed by Carvalho and collaborators to identify pneumococcus. Since then, this method has been widely used worldwide. In 2013, the gene encoding for the ABC iron transporter lipoprotein PiaA, was proposed by Trzcinzki and collaborators to be used in parallel with the lytA qPCR assay. However, the presence of lytA gene homologues has been described in closely related species such as S. pseudopneumoniae and S. mitis and the presence of piaA gene is not ubiquitous between S. pneumoniae. The hyaluronate lyase gene (hylA) has been described to be ubiquitous in S. pneumoniae. This gene has not been used so far as a target for the identification of S. pneumoniae. The aims of our study were to evaluate the specificity, sensitivity, positive predicted value (PPV) and negative predicted value (NPV) of the lytA and piaA qPCR methods; design and implement a new assay targeting the hylA gene and evaluate the same parameters above described; analyze the assays independently and the possible combinations to access what is the best approach using qPCR to identify S. pneumoniae. A total of 278 previously characterized strains were tested: 61 S. pseudopneumoniae, 37 Viridans group strains, 30 type strains from other streptococcal species and 150 S. pneumoniae strains. The collection included both carriage and disease isolates. By Mulilocus Sequence Analysis (MLSA) we confirmed that strains of S. pseudopneumoniae could be misidentified as S. pneumoniae when lytA qPCR assay is used. The results showed that as a single target, lytA had the best combination of specificity, sensitivity, PPV and NPV being, 98.5%, 100.0%, 98.7% and 100.0% respectively. The combination of targets with the best values of specificity, sensibility, PPV and NPV were lytA and piaA, with 100.0%, 93.3%, 97.9% and 92.6%, respectively. Nonetheless by MLSA we confirmed that strains of S. pseudopneumoniae could be misidentified as S. pneumoniae and some capsulated (23F, 6B and 11A) and non-capsulated S. pneumoniae were not Identified using this assay. The hylA gene as a single target had the lowest PPV. Nonetheless it was capable to correctly identify all S. pneumoniae.