Literature DB >> 33536509

Early detection of drug-resistant Streptococcus pneumoniae and Haemophilus influenzae by quantitative flow cytometry.

Takahiro Sawada1, Masayuki Katayama2, Shogo Takatani2, Yoshiyuki Ohiro3.   

Abstract

Early detection of drug resistance contributes to combating drug-resistant bacteria and improving patient outcomes. Microbial testing in the laboratory is essential for treating infectious diseases because it can provide critical information related to identifying pathogenic bacteria and their resistance profiles. Despite these clinical requirements, conventional phenotypic testing is time-consuming. Additionally, recent rapid drug resistance tests are not compatible with fastidious bacteria such as Streptococcus and Haemophilus species. In this study, we validated the feasibility of direct bacteria counting using highly sensitive quantitative flow cytometry. Furthermore, by combining flow cytometry and a nucleic acid intercalator, we constructed a highly sensitive method for counting viable fastidious bacteria. These are inherently difficult to measure due to interfering substances from nutrients contained in the medium. Based on the conventional broth microdilution method, our method acquired a few microliter samples in a time series from the same microplate well to exclude the growth curve inconsistency between the samples. Fluorescent staining and flow cytometry measurements were completed within 10 min. Therefore, this approach enabled us to determine antimicrobial resistance for these bacteria within a few hours. Highly sensitive quantitative flow cytometry presents a novel avenue for conducting rapid antimicrobial susceptibility tests.

Entities:  

Year:  2021        PMID: 33536509     DOI: 10.1038/s41598-021-82186-4

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  47 in total

1.  Exploring the possibilities of infrared spectroscopy for urine sediment examination and detection of pathogenic bacteria in urinary tract infections.

Authors:  Mieke Steenbeke; Sander De Bruyne; Jerina Boelens; Matthijs Oyaert; Griet Glorieux; Wim Van Biesen; Jere Linjala; Joris R Delanghe; Marijn M Speeckaert
Journal:  Clin Chem Lab Med       Date:  2020-09-25       Impact factor: 3.694

Review 2.  The burden of community-acquired bacterial pneumonia in the era of antibiotic resistance.

Authors:  Paula Peyrani; Lionel Mandell; Antoni Torres; Glenn S Tillotson
Journal:  Expert Rev Respir Med       Date:  2018-12-30       Impact factor: 3.772

3.  Increase of β-lactam-resistant invasive Haemophilus influenzae in Sweden, 1997 to 2010.

Authors:  Fredrik Resman; Mikael Ristovski; Arne Forsgren; Bertil Kaijser; Göran Kronvall; Patrik Medstrand; Eva Melander; Inga Odenholt; Kristian Riesbeck
Journal:  Antimicrob Agents Chemother       Date:  2012-06-11       Impact factor: 5.191

4.  Merging FT-IR and NGS for simultaneous phenotypic and genotypic identification of pathogenic Candida species.

Authors:  Claudia Colabella; Laura Corte; Luca Roscini; Volha Shapaval; Achim Kohler; Valeria Tafintseva; Carlo Tascini; Gianluigi Cardinali
Journal:  PLoS One       Date:  2017-12-04       Impact factor: 3.240

5.  Rapid detection of microbiota cell type diversity using machine-learned classification of flow cytometry data.

Authors:  Birge D Özel Duygan; Noushin Hadadi; Ambrin Farizah Babu; Markus Seyfried; Jan R van der Meer
Journal:  Commun Biol       Date:  2020-07-15

Review 6.  The Health Effects of Passive Smoking: An Overview of Systematic Reviews Based on Observational Epidemiological Evidence.

Authors:  Shiyi Cao; Chen Yang; Yong Gan; Zuxun Lu
Journal:  PLoS One       Date:  2015-10-06       Impact factor: 3.240

7.  Antimicrobial Susceptibility/Resistance of Streptococcus Pneumoniae.

Authors:  Emina Karcic; Mufida Aljicevic; Sabaheta Bektas; Bekir Karcic
Journal:  Mater Sociomed       Date:  2015-06-08

8.  Microfluidic cantilever detects bacteria and measures their susceptibility to antibiotics in small confined volumes.

Authors:  Hashem Etayash; M F Khan; Kamaljit Kaur; Thomas Thundat
Journal:  Nat Commun       Date:  2016-10-04       Impact factor: 14.919

9.  A comparison of methods to assess the antimicrobial activity of nanoparticle combinations on bacterial cells.

Authors:  Claire Bankier; Yuen Cheong; Suntharavathanan Mahalingam; Mohan Edirisinghe; Guogang Ren; Elaine Cloutman-Green; Lena Ciric
Journal:  PLoS One       Date:  2018-02-01       Impact factor: 3.240

10.  Rapid antibiotic susceptibility testing on blood cultures using MALDI-TOF MS.

Authors:  Marlène Sauget; Xavier Bertrand; Didier Hocquet
Journal:  PLoS One       Date:  2018-10-11       Impact factor: 3.240

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