The DOI matches its Crossref record; 44 of the 45 references it cites were found in a registry or an index.
A fast impedance-based antimicrobial susceptibility test
Open accessPublished version of a preprint
Abstract
There is an urgent need to develop simple and fast antimicrobial susceptibility tests (ASTs) that allow informed prescribing of antibiotics. Here, we describe a label-free AST that can deliver results within an hour, using an actively dividing culture as starting material. The bacteria are incubated in the presence of an antibiotic for 30 min, and then approximately 10 5 cells are analysed one-by-one with microfluidic impedance cytometry for 2–3 min. The measured electrical characteristics reflect the phenotypic response of the bacteria to the mode of action of a particular antibiotic, in a 30-minute incubation window. The results are consistent with those obtained by classical broth microdilution assays for a range of antibiotics and bacterial species.
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In the citing paper
“By measuring changes in electrical impedance, researchers can infer valuable information about cell volume, membrane permeability, and metabolic activity [96].”
From Methods for screening and evaluation of antimicrobial activity: A review of protocols, advantages, and limitations (2024) · cites this paper as [96]
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Cassini, A., Högberg, L. D., Plachouras, D., Quattrocchi, A., Hoxha, A., Simonsen, G. S., Colomb-Cotinat, M., Kretzschmar, M., Devleesschauwer, B., Cecchini, M., et al. (2018) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(18)30605-4 · Cited by 2,951
Antimicrobial Susceptibility Testing: A Review of General Principles and Contemporary Practices
Jorgensen, J. H., & Ferraro, M. J. (2009) · Clinical Infectious Diseases · doi:10.1086/647952 · Cited by 1,894
Davey, H. M., & Kell, D. B. (1996) · Microbiological Reviews · doi:10.1128/mr.60.4.641-696.1996 · Cited by 886
Structure−Activity Relationships of Polymyxin Antibiotics
Velkov, T., Thompson, P. E., Nation, R. L., & Li, J. (2009) · Journal of Medicinal Chemistry · doi:10.1021/jm900999h · Cited by 786
Single-cell microfluidic impedance cytometry: a review
Sun, T., & Morgan, H. (2010) · Microfluidics and Nanofluidics · doi:10.1007/s10404-010-0580-9 · Cited by 585
Self-citationIndustrial production of β-lactam antibiotics
Elander, R. P. (2003) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-003-1274-y · Cited by 573
Single cell dielectric spectroscopy
Morgan, H., Sun, T., Holmes, D., Gawad, S., & Green, N. G. (2006) · Journal of Physics D Applied Physics · doi:10.1088/0022-3727/40/1/s10 · Cited by 446
Self-citationAntibiotic susceptibility testing in less than 30 min using direct single-cell imaging
Baltekin, Ö., Boucharin, A., Tano, E., Andersson, D. I., & Elf, J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1708558114 · Cited by 422
Using buoyant mass to measure the growth of single cells
Godin, M., Delgado, F. F., Son, S., Grover, W. H., Bryan, A. K., Tzur, A., Jorgensen, P., Payer, K., Grossman, A. D., Kirschner, M. W., et al. (2010) · Nature Methods · doi:10.1038/nmeth.1452 · Cited by 394
Genome-Based Prediction of Bacterial Antibiotic Resistance
Su, M., Satola, S. W., & Read, T. D. (2018) · Journal of Clinical Microbiology · doi:10.1128/jcm.01405-18 · Cited by 373
Flagged first, then by citations
1 of the 45 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- O’Neill, J. (ed.) The Review on Antimicrobial Resistance. Tackling drug-resistant infections globally: final report and recommendations. 1–72 (amr-review.org, HM Government, 2016).
- Spencer, D. C., Paton, T., Inglis, T. J. J., Sutton, J. M., and Morgan, H. A fast impedance-based antimicrobial susceptibility test. Protoc. Exch. https://doi.org/10.21203/rs.3.pex-1088/v1 (2020). · DOI
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Antimicrobial Susceptibility Testing: A Comprehensive Review of Currently Used Methods
Gajić, I., Kabić, J., Kekić, D., Jovićević, M., Milenković, M., Mitić-Ćulafić, D., Trudić, A., Ranin, L. T., & Opavski, N. (2022) · Antibiotics · doi:10.3390/antibiotics11040427 · Cited by 658
Hossain, T. J. (2024) · European Journal of Microbiology and Immunology · doi:10.1556/1886.2024.00035 · Cited by 392
Antibiotic Discovery and Resistance: The Chase and the Race
Iskandar, K., Murugaiyan, J., Halat, D. H., Hage, S. E., Chibabhai, V., Adukkadukkam, S., Roques, C. G., Molinier, L., Salameh, P., & van Dongen, M. B. M. (2022) · Antibiotics · doi:10.3390/antibiotics11020182 · Cited by 255
Bioimpedance Spectroscopy: Basics and Applications
Stupin, D. D., Kuzina, E. A., Abelit, A. A., Emelyanov, A., Nikolaev, D. M., Ryazantsev, M. N., Koniakhin, S. V., & Dubina, M. (2021) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.0c01570 · Cited by 147
Postek, W., & Garstecki, P. (2022) · Accounts of Chemical Research · doi:10.1021/acs.accounts.1c00729 · Cited by 113
Metadata
- Authors
- Spencer, D. C., Paton, T. F., Mulroney, K. T., Inglis, T. J. J., Sutton, J. M., & Morgan, H.
- Affiliations
- University of Southampton (GB)
- Pathwest Laboratory Medicine (AU)
- The University of Western Australia (AU)
- Public Health England (GB)
- Corresponding author
- Morgan, Hywel
- ORCID
- Venue
- Nature Communications
- Published
- 2020-10-21
- Volume
- 11
- Issue
- 1
- Pages
- 5328-5328
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC7578651
- OpenAlex
- W3094320129
- Cited by
- 183
- References
- 45
- Citations by year
- 2026: 31 · 2025: 26 · 2024: 33 · 2023: 39 · 2022: 29 · 2021: 24 · 2020: 1
- FWCI
- 15.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UWA Profiles and Research Repository (UWA) (submittedVersion, cc-by)
- Funders
- National Institute for Health and Care Research (NIHR200968)
- Royal Society
- Topics
- Health Sciences › Medicine › Microbiology (medical) › Bacterial Identification and Susceptibility Testing
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Bio-sensing Technologies
- Life Sciences › Immunology and Microbiology › Applied Microbiology and Biotechnology › Antimicrobial agents and applications
- Keywords
- antimicrobial susceptibility testing, impedance cytometry, microfluidics, label-free detection, antibiotic mechanism of action, broth microdilution comparison, antibiotic prescribing
- MeSH terms
- Meropenem, Bacteria, Equipment Design, Humans, Klebsiella pneumoniae, Microbial Sensitivity Tests, Electric Impedance, Drug Resistance, Bacterial, Microfluidic Analytical Techniques, Biophysical Phenomena, Lab-On-A-Chip Devices
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