Literature DB >> 31904440

An evaluation of the impact of clinical bacterial isolates on epithelial cell monolayer integrity by the electric Cell-Substrate Impedance Sensing (ECIS) method.

Md A Nahid1, Carmen E Campbell2, Keith S K Fong2, Jason C Barnhill3, Michael A Washington3.   

Abstract

Virulence is the relative capacity of a pathogenic microorganism to cause damage in susceptible host cells such as those found in airway passages and the gut. In this study, the effect of clinical bacterial isolates on the monolayer integrity of cultured human alveolar basal epithelial cells (A549) was evaluated using the Electric Cell-Substrate Impedance Sensing (ECIS) system. ECIS is a morphological biosensor which records electrical properties of cell-covered microelectrodes in an AC circuit including impedance (ohm), resistance (ohm), and capacitance (μFarad). In the current study, fluctuations in the electrical properties of cell-covered microelectrodes reflect dynamic changes in cell morphology resulting from disrupted cell monolayers following exposure to bacteria. Using the ECIS system, real-time changes of cell morphology and disruption of monolayer integrity of cell-cultures in vitro were revealed for A549 cells infected with either Pseudomonas aeruginosa, ESBL Escherichia coli, Staphylococcus aureus (MRSA), or Enterococcus (VRE). We determined empirically that the optimal signal response was obtained for resistance (ohm) measurements at 4000 hertz. Following infection of A549 cells, the data revealed that Pseudomonas aeruginosa resulted in little change in microelectrode resistance (ohm @4 kHz) as compared to pathogen-free controls within the first 12 h. In contrast, E. coli, MRSA, and VRE caused significant changes in electrode resistance (ohm @4 kHz) values in the infected cells compared to controls over the first 5 h. Resistance (ohm @4 kHz) changes were also observed in cell monolayers infected with different bacterial concentrations for all isolates over 24 h. The highest concentration of bacteria caused the measured resistance (ohm @4 kHz) to drop faster than its' immediate lower concentration, suggesting a dose-dependent effect. Compared to live bacteria, cells exposed to heat-killed bacteria did not show significant changes in resistance (ohm @4 kHz) over 48 h post-exposure. Functionally, cytokine responses were different between cells treated with live and heat-killed bacteria. Of note, live bacteria induced IFNγ, IL-13, and IL-1β production in A549 cells, whereas heat-killed bacteria induced IL-8 production suggesting a differential interaction with cells that could reveal the underlying causes of resistance (ohm @4 kHz) changes. Our findings indicate that ECIS provides a means to quantify, automate, and measure bacterial virulence, which may have broader implications governing the course of treatment compared to traditional methods alone.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Bacteria; Infection; Invasion; Resistance; Virulence

Year:  2020        PMID: 31904440     DOI: 10.1016/j.mimet.2020.105833

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  4 in total

1.  Antiproliferative Properties of Triterpenoids by ECIS Method-A New Promising Approach in Anticancer Studies?

Authors:  Anna Hordyjewska; Monika Prendecka-Wróbel; Łukasz Kurach; Anna Horecka; Anna Olszewska; Dominika Pigoń-Zając; Teresa Małecka-Massalska; Jacek Kurzepa
Journal:  Molecules       Date:  2022-05-14       Impact factor: 4.927

Review 2.  The current landscape of microRNAs (miRNAs) in bacterial pneumonia: opportunities and challenges.

Authors:  Fan Zhang; Yunxin Zhou; Junying Ding
Journal:  Cell Mol Biol Lett       Date:  2022-08-19       Impact factor: 8.702

3.  Interdigitated and Wave-Shaped Electrode-Based Capacitance Sensor for Monitoring Antibiotic Effects.

Authors:  Jinsoo Park; Yonghyun Lee; Youjin Hwang; Sungbo Cho
Journal:  Sensors (Basel)       Date:  2020-09-14       Impact factor: 3.576

Review 4.  Biosensors Based on Mechanical and Electrical Detection Techniques.

Authors:  Thomas Chalklen; Qingshen Jing; Sohini Kar-Narayan
Journal:  Sensors (Basel)       Date:  2020-09-30       Impact factor: 3.576

  4 in total

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