Literature DB >> 33851232

Microfluidic Systems for Antimicrobial Susceptibility Testing.

Ann-Kathrin Klein1, Andreas Dietzel2.   

Abstract

Human health is threatened by the spread of antimicrobial resistance and resulting infections. One reason for the resistance spread is the treatment with inappropriate and ineffective antibiotics because standard antimicrobial susceptibility testing methods are time-consuming and laborious. To reduce the antimicrobial susceptibility detection time, minimize treatments with empirical broad-spectrum antibiotics, and thereby combat the further spread of antimicrobial resistance, faster and point-of-care methods are needed. This requires many different research approaches. Microfluidic systems for antimicrobial susceptibility testing offer the possibility to reduce the detection time, as small sample and reagent volumes can be used and the detection of single cells is possible. In some cases, the aim is to use human samples without pretreatment or pre-cultivation. This chapter first provides an overview of conventional detection methods. It then presents the potential of and various current approaches in microfluidics. The focus is on microfluidic methods for phenotypic antimicrobial susceptibility testing.
© 2021. Springer Nature Switzerland AG.

Entities:  

Keywords:  Antibiotic resistance test; Antibiotic susceptibility tests (AST); Antimicrobial resistance; Microfluidics; Point-of-care systems

Mesh:

Substances:

Year:  2022        PMID: 33851232     DOI: 10.1007/10_2021_164

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.768


  54 in total

1.  A biosensor platform for rapid antimicrobial susceptibility testing directly from clinical samples.

Authors:  Kathleen E Mach; Ruchika Mohan; Ellen Jo Baron; Mei-Chiung Shih; Vincent Gau; Pak Kin Wong; Joseph C Liao
Journal:  J Urol       Date:  2010-11-12       Impact factor: 7.450

Review 2.  Access to effective antimicrobials: a worldwide challenge.

Authors:  Ramanan Laxminarayan; Precious Matsoso; Suraj Pant; Charles Brower; John-Arne Røttingen; Keith Klugman; Sally Davies
Journal:  Lancet       Date:  2015-11-18       Impact factor: 79.321

Review 3.  Broad-spectrum antimicrobials and the treatment of serious bacterial infections: getting it right up front.

Authors:  Marin H Kollef
Journal:  Clin Infect Dis       Date:  2008-09-15       Impact factor: 9.079

Review 4.  Point-of-care testing in microbiology: the advantages and disadvantages of immunochromatographic test strips.

Authors:  Enno Stürenburg; Ralf Junker
Journal:  Dtsch Arztebl Int       Date:  2009-01-23       Impact factor: 5.594

Review 5.  Progress in antibiotic susceptibility tests: a comparative review with special emphasis on microfluidic methods.

Authors:  Zeeshan A Khan; Mohd F Siddiqui; Seungkyung Park
Journal:  Biotechnol Lett       Date:  2018-12-12       Impact factor: 2.461

6.  Empiric antibiotic treatment reduces mortality in severe sepsis and septic shock from the first hour: results from a guideline-based performance improvement program.

Authors:  Ricard Ferrer; Ignacio Martin-Loeches; Gary Phillips; Tiffany M Osborn; Sean Townsend; R Phillip Dellinger; Antonio Artigas; Christa Schorr; Mitchell M Levy
Journal:  Crit Care Med       Date:  2014-08       Impact factor: 7.598

7.  Direct detection and drug-resistance profiling of bacteremias using inertial microfluidics.

Authors:  Han Wei Hou; Roby P Bhattacharyya; Deborah T Hung; Jongyoon Han
Journal:  Lab Chip       Date:  2015-05-21       Impact factor: 6.799

Review 8.  The negative impact of antibiotic resistance.

Authors:  N D Friedman; E Temkin; Y Carmeli
Journal:  Clin Microbiol Infect       Date:  2015-12-17       Impact factor: 8.067

Review 9.  Antibiotic strategies in the era of multidrug resistance.

Authors:  George Karam; Jean Chastre; Mark H Wilcox; Jean-Louis Vincent
Journal:  Crit Care       Date:  2016-06-22       Impact factor: 9.097

10.  Simultaneous detection of genotype and phenotype enables rapid and accurate antibiotic susceptibility determination.

Authors:  Roby P Bhattacharyya; Nirmalya Bandyopadhyay; Peijun Ma; Sophie S Son; Jamin Liu; Lorrie L He; Lidan Wu; Rustem Khafizov; Rich Boykin; Gustavo C Cerqueira; Alejandro Pironti; Robert F Rudy; Milesh M Patel; Rui Yang; Jennifer Skerry; Elizabeth Nazarian; Kimberly A Musser; Jill Taylor; Virginia M Pierce; Ashlee M Earl; Lisa A Cosimi; Noam Shoresh; Joseph Beechem; Jonathan Livny; Deborah T Hung
Journal:  Nat Med       Date:  2019-11-25       Impact factor: 53.440

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