Literature DB >> 24365382

Sensitive detection and serovar differentiation of typhoidal and nontyphoidal Salmonella enterica species using 16S rRNA Gene PCR coupled with high-resolution melt analysis.

Billie J Masek1, Justin Hardick2, Helen Won3, Samuel Yang4, Yu-Hsiang Hsieh4, Richard E Rothman5, Charlotte A Gaydos5.   

Abstract

Salmonella enterica species infections are a significant public health problem causing high morbidity rates worldwide and high mortality rates in the developing world. These infections are not always rapidly diagnosed as a cause of bloodstream infections because of the limitations of blood culture, which greatly affects clinical care as a result of treatment delays. A molecular diagnostic assay that could rapidly detect and identify S. enterica species infections as a cause of sepsis is needed. Nine typhoidal and nontyphoidal S. enterica serovars were used to establish the limit of detection (LOD) of a previously published 16S rRNA gene PCR (16S PCR) in mock whole blood specimens. In addition, 16 typhoidal and nontyphoidal S. enterica serovars were used to evaluate the serovar differentiation capability of 16S PCR coupled with high-resolution melt analysis. The overall LOD of 16S PCR for the nine typhoidal and nontyphoidal S. enterica serovars analyzed was <10 colony-forming units per milliliter (CFU/mL) in mock whole blood specimens, with the lowest and highest LOD at <1 CFU/mL and 9 CFU/mL, respectively. By high-resolution melt analysis, the typhoidal and nontyphoidal S. enterica serovar groups analyzed each generated a unique grouping code, allowing for serovar-level identification. 16S PCR coupled with high-resolution melt analysis could be a useful molecular diagnostic that could enhance the current diagnostic, treatment, and surveillance methods of S. enterica bloodstream infections.
Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 24365382      PMCID: PMC3937533          DOI: 10.1016/j.jmoldx.2013.10.011

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  29 in total

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2.  One-step triplex high-resolution melting analysis for rapid identification and simultaneous subtyping of frequently isolated Salmonella serovars.

Authors:  Josef Zeinzinger; Ariane T Pietzka; Anna Stöger; Christian Kornschober; Renate Kunert; Franz Allerberger; Robert Mach; Werner Ruppitsch
Journal:  Appl Environ Microbiol       Date:  2012-02-17       Impact factor: 4.792

3.  Application of a 16S rRNA PCR-high-resolution melt analysis assay for rapid detection of Salmonella Bacteremia.

Authors:  Kevin Jeng; Samuel Yang; Helen Won; Charlotte A Gaydos; Yu-Hsiang Hsieh; Alex Kecojevic; Karen C Carroll; Justin Hardick; Richard E Rothman
Journal:  J Clin Microbiol       Date:  2012-01-11       Impact factor: 5.948

4.  Antimicrobial-resistant nontyphoidal Salmonella is associated with excess bloodstream infections and hospitalizations.

Authors:  Jay K Varma; Kåre Molbak; Timothy J Barrett; James L Beebe; Timothy F Jones; Therese Rabatsky-Ehr; Kirk E Smith; Duc J Vugia; Hwa-Gan H Chang; Frederick J Angulo
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Authors:  Martin Kuhns; Andreas E Zautner; Wolfgang Rabsch; Ortrud Zimmermann; Michael Weig; Oliver Bader; Uwe Groß
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

10.  Typhoid fever and paratyphoid fever: Systematic review to estimate global morbidity and mortality for 2010.

Authors:  Geoffrey C Buckle; Christa L Fischer Walker; Robert E Black
Journal:  J Glob Health       Date:  2012-06       Impact factor: 4.413

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Journal:  Biotechnol Adv       Date:  2019-02-20       Impact factor: 14.227

2.  A "Culture" Shift: Broad Bacterial Detection, Identification, and Antimicrobial Susceptibility Testing Directly from Whole Blood.

Authors:  Nadya Andini; Anne Hu; Luming Zhou; Steven Cogill; Tza-Huei Wang; Carl T Wittwer; Samuel Yang
Journal:  Clin Chem       Date:  2018-08-07       Impact factor: 8.327

3.  Nanoarray Digital Polymerase Chain Reaction with High-Resolution Melt for Enabling Broad Bacteria Identification and Pheno-Molecular Antimicrobial Susceptibility Test.

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Journal:  Anal Chem       Date:  2019-09-26       Impact factor: 8.008

Review 4.  Diagnosis of Bloodstream Infections: An Evolution of Technologies towards Accurate and Rapid Identification and Antibiotic Susceptibility Testing.

Authors:  Kristel C Tjandra; Nikhil Ram-Mohan; Ryuichiro Abe; Marjan M Hashemi; Jyong-Huei Lee; Siew Mei Chin; Manuel A Roshardt; Joseph C Liao; Pak Kin Wong; Samuel Yang
Journal:  Antibiotics (Basel)       Date:  2022-04-12

5.  A magneto-DNA nanoparticle system for the rapid and sensitive diagnosis of enteric fever.

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6.  Microbial Typing by Machine Learned DNA Melt Signatures.

Authors:  Nadya Andini; Bo Wang; Pornpat Athamanolap; Justin Hardick; Billie J Masek; Simone Thair; Anne Hu; Gideon Avornu; Stephen Peterson; Steven Cogill; Richard E Rothman; Karen C Carroll; Charlotte A Gaydos; Jeff Tza-Huei Wang; Serafim Batzoglou; Samuel Yang
Journal:  Sci Rep       Date:  2017-02-06       Impact factor: 4.379

7.  Massively parallel digital high resolution melt for rapid and absolutely quantitative sequence profiling.

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Journal:  Sci Rep       Date:  2017-02-08       Impact factor: 4.379

8.  CRISPR 2 PCR and high resolution melting profiling for identification and characterization of clinically-relevant Salmonella enterica subsp. enterica.

Authors:  Nuttachat Wisittipanit; Kritchai Poonchareon; Chaiwat Pulsrikarn; Sudarat Srisong; Rungthiwa Srimora; Nattinee Kittiwan
Journal:  PeerJ       Date:  2020-06-16       Impact factor: 2.984

9.  Nested Machine Learning Facilitates Increased Sequence Content for Large-Scale Automated High Resolution Melt Genotyping.

Authors:  Stephanie I Fraley; Pornpat Athamanolap; Billie J Masek; Justin Hardick; Karen C Carroll; Yu-Hsiang Hsieh; Richard E Rothman; Charlotte A Gaydos; Tza-Huei Wang; Samuel Yang
Journal:  Sci Rep       Date:  2016-01-18       Impact factor: 4.379

10.  PCR-Independent Detection of Bacterial Species-Specific 16S rRNA at 10 fM by a Pore-Blockage Sensor.

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Journal:  Biosensors (Basel)       Date:  2016-07-22
  10 in total

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