Methods for the detection and identification of pathogenic bacteria: past, present, and future

Váradi, Linda; Luo, Jia Lin; Hibbs, David E.; Perry, John D.; Anderson, Rosaleen J.; Orenga, Sylvain; Groundwater, Paul W.

doi:10.1039/c6cs00693k

Cited by 413 publications

(264 citation statements)

References 44 publications

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“…To explain, the conventional susceptibility methods require at least 24 h following an overnight inoculation (16-20 h) and in the case of agar-based methods (disk diffusion, E test), poor diffusion of vancomycin has been observed and caused false negative (indicating susceptibility rather than resistance) results. In one study, Váradi et al [25] found that phenotypic methods for the identification of pathogenic bacteria are associated with limitations such as error in detection, low sensitivity and specificity, and low speed in identifying large numbers of samples. Moreover, the major challenge for all methods is detecting heteroresistant species.…”

Section: Dehbashi Et Al Tropical Medicine and Healthmentioning

confidence: 99%

Development of high-resolution melting curve analysis in rapid detection of vanA gene, Enterococcus faecalis, and Enterococcus faecium from clinical isolates

et al. 2020

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Background: High-resolution melting analysis (HRMA) is a novel molecular technique based on the real-time PCR that can be used to detect vancomycin resistance Enterococcus (VRE). The purpose of this study was to identify VRE species with HRMA in clinical isolates.Results: Out of 49 Enterococcus isolates, 11 (22.44%) E. faecium isolates and 19 (38.77%) E. faecalis isolates were detected. Average melting temperatures for divIVA in E.faecalis, alanine racemase in E.faecium, and vanA in VRE strains were obtained as 79.9 ± 0.5°C, 85.4 ± 0.5°C, and 82.99 ± 0.5°C, respectively. Furthermore, the data showed that the HRMA method was sensitive to detect 10 0 CFU/ml for the divIVA, alanine racemase, and vanA genes. Also, out of 49 Enterococcus spp., which were isolated by HRMA assay, 8 isolates (16.32%) of E. faecium and 18 isolates (36.73%) of E. faecalis were detected. The vanA gene was reported in 2 isolates (25%) of E. faecium and 9 isolates (50%) of E. faecalis. Conclusions: This study demonstrated that using the HRMA method, we can detect E. faecium, E. faecalis, and the vanA gene with high sensitivity and specificity.

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Section: Dehbashi Et Al Tropical Medicine and Healthmentioning

confidence: 99%

Development of high-resolution melting curve analysis in rapid detection of vanA gene, Enterococcus faecalis, and Enterococcus faecium from clinical isolates

et al. 2020

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“…Several tests are then performed to address genus identification, namely microscopy cell staining, colony morphology, and rapid biochemical tests. To perform identification at the species level, the more common methods are phenotypically based, such as manual (e.g., Api bioMérieux) and automated biochemical tests, which exploit the differences in protein expression within genus (or also between genera), providing a characteristic protein expression fingerprint with a relatively high degree of certainty . For example, the OmniLog ID system (Biolog) is a rapid method for the phenotypic identification of bacteria and fungi, through their ability to oxidize different carbon sources.…”

Section: Current Technologies For Bacterial Identification and Antibimentioning

confidence: 99%

Identification and Antibiotic‐Susceptibility Profiling of Infectious Bacterial Agents: A Review of Current and Future Trends

Maugeri

Lychko

Sobral

et al. 2018

Biotechnology Journal

131

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Antimicrobial resistance is one of the most worrying threats to humankind with extremely high healthcare costs associated. The current technologies used in clinical microbiology to identify the bacterial agent and profile antimicrobial susceptibility are time-consuming and frequently expensive. As a result, physicians prescribe empirical antimicrobial therapies. This scenario is often the cause of therapeutic failures, causing higher mortality rates and healthcare costs, as well as the emergence and spread of antibiotic resistant bacteria. As such, new technologies for rapid identification of the pathogen and antimicrobial susceptibility testing are needed. This review summarizes the current technologies, and the promising emerging and future alternatives for the identification and profiling of antimicrobial resistance bacterial agents, which are expected to revolutionize the field of clinical diagnostics.

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“…Also, some special enzymes like β‐lactamases are produced owing to the bacterial gene mutations, and these enzymes can specifically target certain chemical structures in their substrates to damage the structures . Notably, these enzymes might be produced specifically by a certain bacterial strain, thus providing the theoretical basis for specific detection or targeting of bacteria …”

Section: Physiological Factors At Infection Sites and Their Functionsmentioning

confidence: 99%

“…Theoretically, each bacterial strain possesses its own unique character, distinguishing itself from other bacterial strains. However, mainly limited by the detection methods or equipment, the most commonly used methods to detect bacteria are chromogenic or fluorogenic methods, especially the small molecule probes. The adaptive, fluorescent, or chemiluminescent small molecule bacterial probes typically contain three subunits, including a bacterial‐enzyme‐targeting moiety, an enzyme‐cleavable chemical bond, and a chromogen or fluorogen ( Scheme 1 ).…”

Section: Infection Detectionmentioning

confidence: 99%

Recent Advances and Future Prospects on Adaptive Biomaterials for Antimicrobial Applications

Liu

et al. 2019

Macromolecular Bioscience

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Bacterial infection is becoming the biggest threat to human health. The scenario is partly due to the ineffectiveness of the conventional antibiotic treatments against the emergence of multidrug‐resistant bacteria and partly due to the bacteria living in biofilms or cells. Adaptive biomaterials can change their physicochemical properties in the microenvironment of bacterial infection, thereby facilitating either their interactions with bacteria or drug release. The trends in treating bacterial infections using adaptive biomaterials‐based systems are flourishing and generate innumerous possibility to design novel antimicrobial therapeutics. This feature article aims to summarize the recent developments in the formulations, mechanisms, and advances of adaptive materials in bacterial infection diagnosis, contact killing of bacteria, and antimicrobial drug delivery. Also, the challenges and limitations of current antimicrobial treatments based on adaptive materials and their clinical and industrial future prospects are discussed.

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Methods for the detection and identification of pathogenic bacteria: past, present, and future

Cited by 413 publications

References 44 publications

Development of high-resolution melting curve analysis in rapid detection of vanA gene, Enterococcus faecalis, and Enterococcus faecium from clinical isolates

Development of high-resolution melting curve analysis in rapid detection of vanA gene, Enterococcus faecalis, and Enterococcus faecium from clinical isolates

Identification and Antibiotic‐Susceptibility Profiling of Infectious Bacterial Agents: A Review of Current and Future Trends

Recent Advances and Future Prospects on Adaptive Biomaterials for Antimicrobial Applications

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