Literature DB >> 10722477

Multiparameter flow cytometric analysis of antibiotic effects on membrane potential, membrane permeability, and bacterial counts of Staphylococcus aureus and Micrococcus luteus.

D J Novo1, N G Perlmutter, R H Hunt, H M Shapiro.   

Abstract

Although flow cytometry has been used to study antibiotic effects on bacterial membrane potential (MP) and membrane permeability, flow cytometric results are not always well correlated to changes in bacterial counts. Using new, precise techniques, we simultaneously measured MP, membrane permeability, and particle counts of antibiotic-treated and untreated Staphylococcus aureus and Micrococcus luteus cells. MP was calculated from the ratio of red and green fluorescence of diethyloxacarbocyanine [DiOC(2)(3)]. A normalized permeability parameter was calculated from the ratio of far red fluorescence of the nucleic acid dye TO-PRO-3 and green DiOC(2)(3) fluorescence. Bacterial counts were calculated by the addition of polystyrene beads to the sample at a known concentration. Amoxicillin increased permeability within 45 min. At concentrations of <1 microg/ml, some organisms showed increased permeability but normal MP; this population disappeared after 4 h, while bacterial counts increased. At amoxicillin concentrations above 1 microg/ml, MP decreased irreversibly and the particle counts did not increase. Tetracycline and erythromycin caused smaller, dose- and time-dependent decreases in MP. Tetracycline concentrations of <1 microg/ml did not change permeability, while a tetracycline concentration of 4 microg/ml permeabilized 50% of the bacteria; 4 microg of erythromycin per ml permeabilized 20% of the bacteria. Streptomycin decreased MP substantially, with no effect on permeability; chloramphenicol did not change either permeability or MP. Erythromycin pretreatment of bacteria prevented streptomycin and amoxicillin effects. Flow cytometry provides a sensitive means of monitoring the dynamic cellular events that occur in bacteria exposed to antibacterial agents; however, it is probably simplistic to expect that changes in a single cellular parameter will suffice to determine the sensitivities of all species to all drugs.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10722477      PMCID: PMC89778          DOI: 10.1128/AAC.44.4.827-834.2000

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  21 in total

1.  Influence of Viable Cells on the Resuscitation of Dormant Cells in Micrococcus luteus Cultures Held in an Extended Stationary Phase: the Population Effect.

Authors:  T V Votyakova; A S Kaprelyants; D B Kell
Journal:  Appl Environ Microbiol       Date:  1994-09       Impact factor: 4.792

Review 2.  Tetracyclines: antibiotic action, uptake, and resistance mechanisms.

Authors:  D Schnappinger; W Hillen
Journal:  Arch Microbiol       Date:  1996-06       Impact factor: 2.552

Review 3.  Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.

Authors:  H M Davey; D B Kell
Journal:  Microbiol Rev       Date:  1996-12

Review 4.  Mechanism of bactericidal action of aminoglycosides.

Authors:  B D Davis
Journal:  Microbiol Rev       Date:  1987-09

5.  Rapid detection of antimicrobial activity using flow cytometry.

Authors:  J Durodie; K Coleman; I N Simpson; S H Loughborough; D W Winstanley
Journal:  Cytometry       Date:  1995-12-01

6.  Accurate flow cytometric membrane potential measurement in bacteria using diethyloxacarbocyanine and a ratiometric technique.

Authors:  D Novo; N G Perlmutter; R H Hunt; H M Shapiro
Journal:  Cytometry       Date:  1999-01-01

7.  Platelet microbicidal proteins and neutrophil defensin disrupt the Staphylococcus aureus cytoplasmic membrane by distinct mechanisms of action.

Authors:  M R Yeaman; A S Bayer; S P Koo; W Foss; P M Sullam
Journal:  J Clin Invest       Date:  1998-01-01       Impact factor: 14.808

8.  Involvement of the outer membrane in gentamicin and streptomycin uptake and killing in Pseudomonas aeruginosa.

Authors:  R E Hancock; V J Raffle; T I Nicas
Journal:  Antimicrob Agents Chemother       Date:  1981-05       Impact factor: 5.191

9.  Antibacterial action of ciprofloxacin.

Authors:  D J Mason; E G Power; H Talsania; I Phillips; V A Gant
Journal:  Antimicrob Agents Chemother       Date:  1995-12       Impact factor: 5.191

10.  Profiles of outer membrane proteins and lipopolysaccharide of Pseudomonas aeruginosa grown in the presence of sub-MICs of macrolide antibiotics and their relation to enhanced serum sensitivity.

Authors:  K Tateda; Y Ishii; Y Hirakata; T Matsumoto; A Ohno; K Yamaguchi
Journal:  J Antimicrob Chemother       Date:  1994-12       Impact factor: 5.790

View more
  68 in total

1.  Deciphering the mode of action of the synthetic antimicrobial peptide Bac8c.

Authors:  E C Spindler; J D F Hale; T H Giddings; R E W Hancock; R T Gill
Journal:  Antimicrob Agents Chemother       Date:  2011-01-31       Impact factor: 5.191

2.  Use of laser tweezers to analyze sperm motility and mitochondrial membrane potential.

Authors:  Jaclyn M Nascimento; Linda Z Shi; Charlie Chandsawangbhuwana; James Tam; Barbara Durrant; Elliot L Botvinick; Michael W Berns
Journal:  J Biomed Opt       Date:  2008 Jan-Feb       Impact factor: 3.170

3.  Flow cytometric determination of the effects of antibacterial agents on Mycoplasma agalactiae, Mycoplasma putrefaciens, Mycoplasma capricolum subsp. capricolum, and Mycoplasma mycoides subsp. mycoides large colony type.

Authors:  Patricia Assunção; Nuno T Antunes; Ruben S Rosales; Carlos Poveda; Jose B Poveda; Hazel M Davey
Journal:  Antimicrob Agents Chemother       Date:  2006-08       Impact factor: 5.191

4.  Responses of Escherichia coli, Listeria monocytogenes, and Staphylococcus aureus to simulated food processing treatments, determined using fluorescence-activated cell sorting and plate counting.

Authors:  Deirdre Kennedy; Ultan P Cronin; Martin G Wilkinson
Journal:  Appl Environ Microbiol       Date:  2011-05-20       Impact factor: 4.792

5.  The innate growth bistability and fitness landscapes of antibiotic-resistant bacteria.

Authors:  J Barrett Deris; Minsu Kim; Zhongge Zhang; Hiroyuki Okano; Rutger Hermsen; Alexander Groisman; Terence Hwa
Journal:  Science       Date:  2013-11-29       Impact factor: 47.728

6.  Anti-methicillin Resistant Staphylococcus aureus Compound Isolation from Halophilic Bacillus amyloliquefaciens MHB1 and Determination of Its Mode of Action Using Electron Microscope and Flow Cytometry Analysis.

Authors:  Venkadapathi Jeyanthi; Palaniyandi Velusamy
Journal:  Indian J Microbiol       Date:  2016-01-30       Impact factor: 2.461

7.  Membrane disruption by antimicrobial fatty acids releases low-molecular-weight proteins from Staphylococcus aureus.

Authors:  Joshua B Parsons; Jiangwei Yao; Matthew W Frank; Pamela Jackson; Charles O Rock
Journal:  J Bacteriol       Date:  2012-07-27       Impact factor: 3.490

8.  Inhibitors of bacterial tubulin target bacterial membranes in vivo.

Authors:  Marie H Foss; Ye-Jin Eun; Charles I Grove; Daniel A Pauw; Nohemy A Sorto; Jarred W Rensvold; David J Pagliarini; Jared T Shaw; Douglas B Weibel
Journal:  Medchemcomm       Date:  2012-07-18       Impact factor: 3.597

9.  Phenotypic profiling of antibiotic response signatures in Escherichia coli using Raman spectroscopy.

Authors:  A I M Athamneh; R A Alajlouni; R S Wallace; M N Seleem; R S Senger
Journal:  Antimicrob Agents Chemother       Date:  2013-12-02       Impact factor: 5.191

10.  Insights into the mode of action of the two-peptide lantibiotic haloduracin.

Authors:  Trent J Oman; Wilfred A van der Donk
Journal:  ACS Chem Biol       Date:  2009-10-16       Impact factor: 5.100

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.