Literature DB >> 22573594

Identification of bacterial pathogens in ascitic fluids from patients with suspected spontaneous bacterial peritonitis by use of broad-range PCR (16S PCR) coupled with high-resolution melt analysis.

Justin Hardick1, Helen Won, Kevin Jeng, Yu-Hsiang Hsieh, Charlotte A Gaydos, Richard E Rothman, Samuel Yang.   

Abstract

Spontaneous bacterial peritonitis (SBP) can be a severe complication occurring in patients with cirrhosis and ascites, with associated mortality often as high as 40%. Traditional diagnostics for SBP rely on culture techniques for proper diagnosis, although recent reports suggest that the presence of bacterial DNA in peritoneal fluid in patients with cirrhosis and ascites is an indicator of SBP. A previously published broad-range PCR (16S PCR) coupled with high-resolution melt analysis (HRMA) was compared with standard culture techniques for diagnosis of SBP in 106 peritoneal fluid samples from patients with suspected SBP. The sensitivity and specificity for 16S PCR for detecting eubacterial DNA compared with those of standard culture techniques were 100% (17/17) and 91.5% (85/89), respectively. Overall, HRMA concordance with species identification was 70.6% (12/17), although the 5 samples that were discordant at the species level were SBP resulting from a polymicrobial infection, and species-level identification for polymicrobial infections is outside the capability of HRMA. Both the broad-range 16S PCR and HRMA analysis provide useful diagnostic adjunctive assays for clinicians in detecting and identifying pathogens responsible for SBP.

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Year:  2012        PMID: 22573594      PMCID: PMC3405590          DOI: 10.1128/JCM.00345-12

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  29 in total

Review 1.  EASL clinical practice guidelines on the management of ascites, spontaneous bacterial peritonitis, and hepatorenal syndrome in cirrhosis.

Authors: 
Journal:  J Hepatol       Date:  2010-06-01       Impact factor: 25.083

2.  Use of quantitative broad-based polymerase chain reaction for detection and identification of common bacterial pathogens in cerebrospinal fluid.

Authors:  Richard Rothman; Padmini Ramachandran; Samuel Yang; Andrew Hardick; Helen Won; Aleksandar Kecojevic; Celeste Quianzon; Yu-Hsiang Hsieh; Charlotte Gaydos
Journal:  Acad Emerg Med       Date:  2010-07       Impact factor: 3.451

3.  Development of a new in situ hybridization method for the detection of global bacterial DNA to provide early evidence of a bacterial infection in spontaneous bacterial peritonitis.

Authors:  Hirayuki Enomoto; Shin-ichi Inoue; Akio Matsuhisa; Nobuhiro Aizawa; Hiroyasu Imanishi; Masaki Saito; Yoshinori Iwata; Hironori Tanaka; Naoto Ikeda; Yoshiyuki Sakai; Tomoyuki Takashima; Soji Shimomura; Hiroko Iijima; Hideji Nakamura; Shuhei Nishiguchi
Journal:  J Hepatol       Date:  2011-08-09       Impact factor: 25.083

4.  Is detection of bacterial DNA in ascitic fluid of clinical relevance?

Authors:  Beate Appenrodt; Lutz E Lehmann; Lydia Thyssen; Martin Gentemann; Christian Rabe; Ernst Molitor; Jonel Trebicka; Frank Stüber; Tilman Sauerbruch
Journal:  Eur J Gastroenterol Hepatol       Date:  2010-12       Impact factor: 2.566

5.  Spontaneous bacterial peritonitis.

Authors:  Mónica Barreales; Inmaculada Fernández
Journal:  Rev Esp Enferm Dig       Date:  2011-05       Impact factor: 2.086

Review 6.  Spontaneous bacterial peritonitis caused by Streptococcus bovis: case report and review of the literature.

Authors:  Rosmari Hörner; Adenilde Salla; Loiva Otonelli de Oliveira; Nara Lucia Frasson Dal Forno; Roselene Alves Righi; Vanessa Oliveira Domingues; Fabiane Rigatti; Letícia Eichstaedt Mayer
Journal:  Braz J Infect Dis       Date:  2010 May-Jun       Impact factor: 1.949

7.  Detection of ascitic fluid infections in patients with liver cirrhosis and ascites.

Authors:  Marwa S Mostafa; Eman A El-Seidi; Abdel Meguid Kassem; Mohamed A Shemis; Mohamed Saber; Michael N Michael
Journal:  Arab J Gastroenterol       Date:  2011-03       Impact factor: 2.076

8.  Bacterial DNA in the diagnosis of spontaneous bacterial peritonitis.

Authors:  G Soriano; O Esparcia; M Montemayor; C Guarner-Argente; R Pericas; X Torras; N Calvo; E Román; F Navarro; C Guarner; P Coll
Journal:  Aliment Pharmacol Ther       Date:  2010-11-11       Impact factor: 8.171

9.  Detection of bacterial DNA in serum and ascitic fluid of asymptomatic outpatients with cirrhosis and non-neutrocytic ascites.

Authors:  Thomas Sersté; Frédéric Bert; Véronique Leflon-Guibout; Chantal Chauvet; Estelle Marcon; Tarik Asselah; Claire Francoz; François Durand; Didier Lebrec; Dominique Valla; Richard Moreau; Marie-Hélène Nicolas-Chanoine
Journal:  Liver Int       Date:  2011-01-30       Impact factor: 5.828

10.  Detection and identification of bacterial DNA in patients with cirrhosis and culture-negative, nonneutrocytic ascites.

Authors:  José Such; Rubén Francés; Carlos Muñoz; Pedro Zapater; Juan A Casellas; Ana Cifuentes; Francisco Rodríguez-Valera; Sonia Pascual; Javier Sola-Vera; Fernando Carnicer; Francisco Uceda; José M Palazón; Miguel Pérez-Mateo
Journal:  Hepatology       Date:  2002-07       Impact factor: 17.425

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  14 in total

1.  Application of qualitative and quantitative real-time PCR, direct sequencing, and terminal restriction fragment length polymorphism analysis for detection and identification of polymicrobial 16S rRNA genes in ascites.

Authors:  Sandra Krohn; Stephan Böhm; Cornelius Engelmann; Jan Hartmann; Annika Brodzinski; Antonis Chatzinotas; Katharina Zeller; Delia Prywerek; Ingo Fetzer; Thomas Berg
Journal:  J Clin Microbiol       Date:  2014-03-12       Impact factor: 5.948

2.  Microwave-accelerated method for ultra-rapid extraction of Neisseria gonorrhoeae DNA for downstream detection.

Authors:  Johan H Melendez; Tonya M Santaus; Gregory Brinsley; Daniel Kiang; Buddha Mali; Justin Hardick; Charlotte A Gaydos; Chris D Geddes
Journal:  Anal Biochem       Date:  2016-06-17       Impact factor: 3.365

Review 3.  A 'culture' shift: Application of molecular techniques for diagnosing polymicrobial infections.

Authors:  Yi Zhang; Anne Hu; Nadya Andini; Samuel Yang
Journal:  Biotechnol Adv       Date:  2019-02-20       Impact factor: 14.227

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

Authors:  Billie J Masek; Justin Hardick; Helen Won; Samuel Yang; Yu-Hsiang Hsieh; Richard E Rothman; Charlotte A Gaydos
Journal:  J Mol Diagn       Date:  2013-12-21       Impact factor: 5.568

5.  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

Review 6.  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

7.  [Characterization of bacterial flora in community peritonitis carried out in Burkina Faso].

Authors:  Mahamoudou Sanou; Armand Ky; Edgard Ouangre; Cyrille Bisseye; Adama Sanou; Bolni Marius Nagalo; Drissa Sanou; Jacques Simporé; Lassana Sangare; Rasmata Traore
Journal:  Pan Afr Med J       Date:  2014-05-05

8.  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

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

Authors:  Daniel Ortiz Velez; Hannah Mack; Julietta Jupe; Sinead Hawker; Ninad Kulkarni; Behnam Hedayatnia; Yang Zhang; Shelley Lawrence; Stephanie I Fraley
Journal:  Sci Rep       Date:  2017-02-08       Impact factor: 4.379

10.  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

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