Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Rapid antibiotic susceptibility testing and species identification for mixed infections

Vinodh Kandavalli, Praneeth Karempudi, Jimmy Larsson, Johan Elf
doi: https://doi.org/10.1101/2021.11.10.468026
Vinodh Kandavalli
Dept. Cell and Molecular Biology, Uppsala University, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Praneeth Karempudi
Dept. Cell and Molecular Biology, Uppsala University, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jimmy Larsson
Dept. Cell and Molecular Biology, Uppsala University, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Johan Elf
Dept. Cell and Molecular Biology, Uppsala University, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: johan.elf@icm.uu.se
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Antimicrobial resistance is an increasing problem globally. Rapid antibiotic susceptibility testing (AST) is urgently needed in the clinic to enable personalized prescription in high-resistance environments and limit the use of broad-spectrum drugs. Previously we have described a 30 min AST method based on imaging of individual bacterial cells. However, current phenotypic AST methods do not include species identification (ID), leaving time-consuming plating or culturing as the only available option when ID is needed to make the sensitivity call. Here we describe a method to perform phenotypic AST at the single-cell level in a microfluidic chip that allows subsequent genotyping by in situ FISH. By stratifying the phenotypic AST response on the species of individual cells, it is possible to determine the susceptibility profile for each species in a mixed infection sample in 1.5 h. In this proof-of-principle study, we demonstrate the operation with four antibiotics and a mixed sample with four species.

Competing Interest Statement

J.E has patented the method (US10,041,104) and founded the company Astrego Diagnostics.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted November 10, 2021.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Rapid antibiotic susceptibility testing and species identification for mixed infections
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Rapid antibiotic susceptibility testing and species identification for mixed infections
Vinodh Kandavalli, Praneeth Karempudi, Jimmy Larsson, Johan Elf
bioRxiv 2021.11.10.468026; doi: https://doi.org/10.1101/2021.11.10.468026
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Rapid antibiotic susceptibility testing and species identification for mixed infections
Vinodh Kandavalli, Praneeth Karempudi, Jimmy Larsson, Johan Elf
bioRxiv 2021.11.10.468026; doi: https://doi.org/10.1101/2021.11.10.468026

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Microbiology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4113)
  • Biochemistry (8815)
  • Bioengineering (6519)
  • Bioinformatics (23462)
  • Biophysics (11789)
  • Cancer Biology (9209)
  • Cell Biology (13322)
  • Clinical Trials (138)
  • Developmental Biology (7436)
  • Ecology (11409)
  • Epidemiology (2066)
  • Evolutionary Biology (15150)
  • Genetics (10436)
  • Genomics (14043)
  • Immunology (9171)
  • Microbiology (22154)
  • Molecular Biology (8812)
  • Neuroscience (47569)
  • Paleontology (350)
  • Pathology (1428)
  • Pharmacology and Toxicology (2491)
  • Physiology (3730)
  • Plant Biology (8080)
  • Scientific Communication and Education (1437)
  • Synthetic Biology (2221)
  • Systems Biology (6037)
  • Zoology (1253)