scholarly journals Molecular Assay Validation Using Genomic Sequence Databases

2016 ◽  
Vol 54 (12) ◽  
pp. 2854-2856 ◽  
Author(s):  
John P. Dekker

Whole-genome sequence databases offer newin silicoapproaches for designing and validating PCR assays in the clinical microbiology laboratory. An article in this issue of theJournal of Clinical Microbiology(M. J. Jansen van Rensburg, C. Swift, A. J. Cody, C. Jenkins, and M. C. J. Maiden, J Clin Microbiol, 54:2882–2890, 2016,http://dx.doi.org/10.1128/JCM.01522-16) demonstrates the use of publicly available genomic sequence data to evaluate a PCR assay for distinguishingCampylobacterspecies.

2018 ◽  
Vol 56 (9) ◽  
Author(s):  
Daniel D. Rhoads

ABSTRACT Whole-genome sequencing of bacterial isolates is increasingly being used to predict antibacterial susceptibility and resistance. Mason and coauthors describe the phenotypic susceptibility interpretations of more than 1,300 Staphylococcus aureus isolates tested against a dozen antistaphylococcal agents, and they compared these findings to susceptibility predictions made by analyzing whole-genome sequence data (J Clin Microbiol 56:e01815-17, 2018, https://doi.org/10.1128/JCM.01815-17). The genotype-phenotype susceptibility interpretations correlated in 96.3% (2,720/2,825) of resistant findings and 98.8% (11,504/11,639) of susceptible findings. This work by Mason and colleagues is helping to lower the barriers to using whole-genome sequencing of S. aureus in clinical microbiology practice.


2017 ◽  
Vol 55 (7) ◽  
pp. 2204-2207 ◽  
Author(s):  
Irving Nachamkin ◽  
Phi Nguyen

ABSTRACT Fecal samples submitted to our clinical microbiology laboratory from patients in the Philadelphia region were prospectively analyzed for Campylobacter species other than C. jejuni and C. coli using a filtration method and microaerobic conditions with increased H 2 concentrations. Of 225 samples tested, 13 (5.8%) yielded Campylobacter species, with frequent isolation of C. concisus . The majority of Campylobacter species were not clinically significant. Additional studies in U.S. populations are warranted.


2021 ◽  
Vol 7 (6) ◽  
Author(s):  
Ivan Sserwadda ◽  
Gerald Mboowa

The recent re-emergence of multidrug-resistant pathogens has exacerbated their threat to worldwide public health. The evolution of the genomics era has led to the generation of huge volumes of sequencing data at an unprecedented rate due to the ever-reducing costs of whole-genome sequencing (WGS). We have developed the Rapid Microbial Analysis Pipeline (rMAP), a user-friendly pipeline capable of profiling the resistomes of ESKAPE pathogens ( Enterococcus faecium , Staphylococcus aureus , Klebsiella pneumoniae , Acinetobacter baumannii , Pseudomonas aeruginosa and Enterobacter species) using WGS data generated from Illumina’s sequencing platforms. rMAP is designed for individuals with little bioinformatics expertise, and automates the steps required for WGS analysis directly from the raw genomic sequence data, including adapter and low-quality sequence read trimming, de novo genome assembly, genome annotation, single-nucleotide polymorphism (SNP) variant calling, phylogenetic inference by maximum likelihood, antimicrobial resistance (AMR) profiling, plasmid profiling, virulence factor determination, multi-locus sequence typing (MLST), pangenome analysis and insertion sequence characterization (IS). Once the analysis is finished, rMAP generates an interactive web-like html report. rMAP installation is very simple, it can be run using very simple commands. It represents a rapid and easy way to perform comprehensive bacterial WGS analysis using a personal laptop in low-income settings where high-performance computing infrastructure is limited.


2019 ◽  
Vol 57 (5) ◽  
Author(s):  
M. M. Sfeir ◽  
J. A. Hayden ◽  
K. A. Fauntleroy ◽  
C. Mazur ◽  
J. K. Johnson ◽  
...  

ABSTRACT The increase in the prevalence and impact of infections caused by carbapenemase-producing Enterobacteriaceae is a global health concern. Therefore, rapid and accurate methods to detect these organisms in any clinical microbiology laboratory, including those in resource-limited settings, are essential to prevent and contain their spread. It is also important to differentiate between serine- and metal-dependent carbapenemases elaborated by carbapenemase-producing isolates for epidemiologic, infection control and prevention, and therapeutic purposes. Here, we describe the development and evaluation of the EDTA-modified carbapenem inactivation method (eCIM), an assay for discriminating between serine- and metal-dependent (i.e., metallo-β-lactamases [MBLs]) carbapenemases when used in conjunction with the modified carbapenem inactivation method (mCIM). The eCIM had an overall sensitivity and specificity of 100% and was adopted by the Clinical and Laboratory Standards Institute as a method to use in combination with the mCIM to identify MBL-producing Enterobacteriaceae.


Author(s):  
Kami D Kies ◽  
Amber S Thomas ◽  
Matthew J Binnicker ◽  
Kelli L Bashynski ◽  
Robin Patel

Abstract Enteroviral meningitis is seasonal, typically exhibiting a rise in prevalence in late summer/early fall. Based on clinical microbiology laboratory testing data of cerebrospinal fluid, the expected August/September/October peak in enteroviral meningitis did not occur in 2020, possibly related to COVID-19 mitigation strategies.


Pathology ◽  
2020 ◽  
Vol 52 (7) ◽  
pp. 754-759 ◽  
Author(s):  
Eloise Williams ◽  
Katherine Bond ◽  
Brian Chong ◽  
Dawn Giltrap ◽  
Malcolm Eaton ◽  
...  

2016 ◽  
Vol 54 (6) ◽  
pp. 1416-1417 ◽  
Author(s):  
Richard B. Thomson

The Gram stain is one of the most commonly performed tests in the clinical microbiology laboratory, yet it is poorly controlled and lacks standardization. It was once the best rapid test in microbiology, but it is no longer trusted by many clinicians. The publication by Samuel et al. (J. Clin. Microbiol. 54:1442–1447, 2016,http://dx.doi.org/10.1128/JCM.03066-15) is a start for those who want to evaluate and improve Gram stain performance. In an age of emerging rapid molecular results, is the Gram stain still relevant? How should clinical microbiologists respond to the call to reduce Gram stain error rates?


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