Microbial sensor for drug susceptibility testing of Mycobacterium tuberculosis

Aims

Drug susceptibility testing (DST) of clinical isolates of Mycobacterium tuberculosis is critical in treating tuberculosis. We demonstrate the possibility of using a microbial sensor to perform DST of M. tuberculosis and shorten the time required for DST.

Methods and Results

The sensor is made of an oxygen electrode with M. tuberculosis cells attached to its surface. This sensor monitors the residual oxygen consumption of M. tuberculosis cells after treatment with anti‐TB drugs with glycerine as a carbon source. In principle, after drug pretreatment for 4–5 days, the response differences between the sensors made of drug‐sensitive isolates are distinguishable from the sensors made of drug‐resistant isolates. The susceptibility of the M. tuberculosis H37Ra strain, its mutants and 35 clinical isolates to six common anti‐TB drugs: rifampicin, isoniazid, streptomycin, ethambutol, levofloxacin and para‐aminosalicylic acid were tested using the proposed method. The results agreed well with the gold standard method (LJ) and were determined in significantly less time. The whole procedure takes approximately 11 days and therefore has the potential to inform clinical decisions.

Conclusions

To our knowledge, this is the first study that demonstrates the possible application of a dissolved oxygen electrode‐based microbial sensor in M. tuberculosis drug resistance testing. This study used the microbial sensor to perform DST of M. tuberculosis and shorten the time required for DST.

Significance and Impact of the Study

The overall detection result of the microbial sensor agreed well with that of the conventional LJ proportion method and takes less time than the existing phenotypic methods. In future studies, we will build an O₂ electrode array microbial sensor reactor to enable a high‐throughput drug resistance analysis.     

Culture conditions and sample preparation methods affect spectrum quality and reproducibility during profiling of Staphylococcus aureus with matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry

Matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS) has emerged as a promising tool to rapidly characterize Staphylococcus aureus. Different protocols have been employed, but effects of experimental factors, such as culture condition and sample preparation, on spectrum quality and reproducibility have not been rigorously examined. We applied MALDI‐TOF MS to characterize a model system consisting of five methicillin‐sensitive (MSSA) and five methicillin‐resistant S. aureus isolates (MRSA) under two culture conditions (agar and broth) and using two sample preparation methods [intact cell method and protein extraction method (PEM)]. The effects of these treatments on spectrum quality and reproducibility were quantified. PEM facilitated increases in the number of peaks and mass range width. Broth cultures further improved spectrum quality in terms of increasing the number of peaks. In addition, PEM increased reproducibility in samples prepared using identical culture conditions. MALDI imaging data suggested that the improvement in reproducibility may result from a more homogeneous distribution of sample associated with the broth/PEM treatment. Broth/PEM treatment also yielded the highest rate (96%) of correct classification for MRSA. Taken together, these results suggest that broth/PEM maximizes the performance of MALDI‐TOF MS to characterize S. aureus.

Significance and Impact of the Study

Two culture conditions (agar or broth) and two sample preparation methods (intact cell or protein extraction) were evaluated for their effects on profiling of Staphylococcus aureus using matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS). Results indicated that MALDI‐enabled profiling of S. aureus is most effective when cultures are grown in broth and processed using a protein extraction‐based approach. These findings should enhance future efforts to maximize the performance of this approach to characterize strains of S. aureus.     

Quercetin protects rats from catheter‐related Staphylococcus aureus infections by inhibiting coagulase activity

Coagulase (Coa) activity is essential for the virulence of Staphylococcus aureus (S aureus), one of the most important pathogenic bacteria leading to catheter‐related bloodstream infections (CRBSI). We have demonstrated that the mutation of coagulase improved outcomes in disease models of S aureus CRBSI, suggesting that targeting Coa may represent a novel antiinfective strategy for CRBSI. Here, we found that quercetin, a natural compound that does not affect S aureus viability, could inhibit Coa activity. Chemical biological analysis revealed that the direct engagement of quercetin with the active site (residues Tyr187, Leu221 and His228) of Coa inhibited its activity. Furthermore, treatment with quercetin reduced the retention of bacteria on catheter surfaces, decreased the bacterial load in the kidneys and alleviated kidney abscesses in vivo. These data suggest that antiinfective therapy targeting Coa with quercetin may represent a novel strategy and provide a new leading compound with which to combat bacterial infections.     

Antimicrobial resistance and toxin gene profiles of Staphylococcus aureus strains from Holstein milk

Isolation of Staphylococcus aureus (Staph. aureus) from Holstein milk samples with mastitis and nonmastitis was conducted to estimate its prevalence, antimicrobial resistance and toxin genes. A total of 353 milk samples were collected from three Chinese Holstein herds. Fifty‐three Staph. aureus isolates collected from 29 Staph. aureus‐positive samples were characterized via antimicrobial susceptibility, toxin genes and Pulsed‐field Gel Electrophoresis (PFGE) profiles. The prevalence of Staph. aureus was 4·0–9·5% in mastitic and 7·3–11·5% in nonmastitic samples in the analysed herds. Approximately 61·0% of Staph. aureus strains isolated from mastitis cows were resistant to ≥10 antimicrobials compared with 0% of isolates with nonmastitis. The most frequently observed super antigenic toxin gene was pvl (41·5%) followed by seh + pvl (13·2%). We did not find mecA‐positive methicillin‐resistant Staph. aureus (MRSA) strains, while mecA‐negative MRSA strains were identified in the three herds. PFGE results suggested potential transmission of Staph. aureus strains in different farms. These results open new insights into Staph. aureus transmission and antimicrobial resistance of Holstein dairy cows and into developing strategies for udder health improvement of dairy cattle.     

Genotype‐by‐environment interactions due to antibiotic resistance and adaptation in Escherichia coli

Mutations that are beneficial in one environment can have different fitness effects in other environments. In the context of antibiotic resistance, the resulting genotype‐by‐environment interactions potentially make selection on resistance unpredictable in heterogeneous environments. Furthermore, resistant bacteria frequently fix additional mutations during evolution in the absence of antibiotics. How do these two types of mutations interact to determine the bacterial phenotype across different environments? To address this, I used Escherichia coli as a model system, measuring the effects of nine different rifampicin resistance mutations on bacterial growth in 31 antibiotic‐free environments. I did this both before and after approximately 200 generations of experimental evolution in antibiotic‐free conditions (LB medium), and did the same for the antibiotic‐sensitive wild type after adaptation to the same environment. The following results were observed: (i) bacteria with and without costly resistance mutations adapted to experimental conditions and reached similar levels of competitive fitness; (ii) rifampicin resistance mutations and adaptation to LB both indirectly altered growth in other environments; and (iii) resistant‐evolved genotypes were more phenotypically different from the ancestor and from each other than resistant‐nonevolved and sensitive‐evolved genotypes. This suggests genotype‐by‐environment interactions generated by antibiotic resistance mutations, observed previously in short‐term experiments, are more pronounced after adaptation to other types of environmental variation, making it difficult to predict long‐term selection on resistance mutations from fitness effects in a single environment.