Evidence map›Paper›PMID 35180690›Full record

ArticleBiosensors & bioelectronics2022

Impedance sensing of antibiotic interactions with a pathogenic E. coli outer membrane supported bilayer.

Surajit Ghosh, Zeinab Mohamed, Jung-Ho Shin, Samavi Farnush Bint E Naser, Karan Bali, Tobias Dörr, Róisín M Owens, Alberto Salleo, Susan Daniel

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Emerging Designs and Applications for Biomembrane Biosensors.Annual review of analytical chemistry (Palo Alto, Calif.) · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Surajit GhoshRobert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA.
Zeinab MohamedMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Jung-Ho ShinWeill Institute for Cell and Molecular Biology and Department of Microbiology, Cornell, University, Ithaca, NY, USA.
Samavi Farnush Bint E NaserRobert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA.
Karan BaliDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Tobias DörrWeill Institute for Cell and Molecular Biology and Department of Microbiology, Cornell, University, Ithaca, NY, USA.
Róisín M OwensDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Alberto SalleoDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
Susan DanielRobert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA; Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA. Electronic address: sd386@cornell.edu.
Cornell University · USUniversity of Cambridge · GBStanford University · US

Funding

Establishing a Gram-Negative Permeation Rule Set Leveraging a Unique Small Molecule LibraryR01AI136805 · NIAID · VENATORX PHARMACEUTICALS, INC. · PI BOYD, STEVEN ARMEN · 2018 to 2022
$7.4M
Novel cyclic boronate Penicillin Binding Protein Inhibitors to eliminate the threat posed by β-lactamases and enable a future treatment option for carbapenem-resistant Enterobacterales infectionsR01AI160269 · NIAID · VENATORX PHARMACEUTICALS, INC. · PI BOYD, STEVEN ARMEN · 2021 to 2025
$6.3M
NIAID NIH HHS R01 AI136805NIAID NIH HHS R01 AI160269
6 · The paper itself

Abstract

Antibiotic resistance is a growing global health concern due to the decreasing number of antibiotics available for therapeutic use as more drug-resistant bacteria develop. Changes in the membrane properties of Gram-negative bacteria can influence their response to antibiotics and give rise to resistance. Thus, understanding the interactions between the bacterial membrane and antibiotics is important for elucidating microbial membrane properties to use for designing novel antimicrobial drugs. To study bacterial membrane-antibiotic interactions, we created a surface-supported planar bacterial outer membrane model on an optically-transparent, conducting polymer surface (poly (3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS)). This model enables membrane characterization using fluorescence microscopy and electrochemical impedance spectroscopy (EIS). The membrane platform is fabricated using outer membrane vesicles (OMVs) isolated from clinically relevant Gram-negative bacteria, enterohemorrhagic Escherichia coli. This approach enables us to mimic the native components of the bacterial membrane by incorporating native lipids, membrane proteins, and lipopolysaccharides. Using EIS, we determined membrane impedance and captured membrane-antibiotic interactions using the antibiotics polymyxin B, bacitracin, and meropenem. This sensor platform incorporates aspects of the biological complexity found in bacterial outer membranes and, by doing so, offers a powerful, biomimetic approach to the study of antimicrobial drug interactions.

Indexed as

Biosensing TechniquesEscherichia coliAnti-Bacterial AgentsBacterial Outer Membrane ProteinsElectric ImpedanceGram-Negative BacteriaAnti-Bacterial AgentsBacterial Outer Membrane ProteinsAntibiotic-membrane interactionsImpedance spectroscopyOuter membrane vesiclesPEDOT:PSSSupported lipid bilayer

Identifiers

PMID35180690
PMCPMC9526520
OpenAlexW4210447911

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.