Repository logo
  • Log In
    Log in via Symplectic to deposit your publication(s).
Repository logo
  • Communities & Collections
  • Research Outputs
  • Statistics
  • Log In
    Log in via Symplectic to deposit your publication(s).
  1. Home
  2. Faculty of Natural Sciences
  3. Faculty of Natural Sciences
  4. Performance of lipid fingerprint-based MALDI-ToF for the diagnosis of mycobacterial infections
 
  • Details
Performance of lipid fingerprint-based MALDI-ToF for the diagnosis of mycobacterial infections
File(s)
1-s2.0-S1198743X20305103-main.pdf (429.03 KB)
Published version
Author(s)
Gonzalo, ximena
Broda, Agnieszka
Drobniewski, Francis
Larrouy-Maumus, Gerald
Type
Journal Article
Abstract
Objectives

Bacterial diagnosis of mycobacteria is often challenging because of the variability of the sensitivity and specificity of the assay used, and it can be expensive to perform accurately. Although matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) has become the workhorse of clinical laboratories, the current MALDI methodology (which is based on cytosolic protein profiling) for mycobacteria is still challenging due to the number of steps involved (up to seven) and potential biosafety concerns. Knowing that mycobacteria produce surface-exposed species-specific lipids, we here hypothesized that the detection of those molecules could offer a rapid, reproducible and robust method for mycobacterial identification.
Methods

We evaluated the performance of an alternative methodology based on characterized species-specific lipid profiling of intact bacteria, without any sample preparation, by MALDI MS; it uses MALDI-time-of-flight (ToF) MS combined with a specific matrix (super-2,5-dihydroxybenzoic acid solubilized in an apolar solvent system) to analyse lipids of intact heat-inactivated mycobacteria. Cultured mycobacteria are heat-inactivated and loaded directly onto the MALDI target followed by addition of the matrix. Acquisition of the data is done in both positive and negative ion modes. Blinded studies were performed using 273 mycobacterial strains comprising both the Mycobacterium tuberculosis (Mtb) complex and non-tuberculous mycobacteria (NTMs) subcultured in Middlebrook 7H9 media supplemented with 10% OADC (oleic acid/dextrose/catalase) growth supplement and incubated for up to 2 weeks at 37°C.
Results

The method we have developed is fast (<10 mins) and highly sensitive (<1000 bacteria required); 96.7% of the Mtb complex strains (204/211) were correctly assigned as MTB complex and 91.7% (22/24) NTM species were correctly assigned based only on intact bacteria species-specific lipid profiling by MALDI-ToF MS.
Conclusions

Intact bacterial lipid profiling provides a biosafe and unique route for rapid and accurate mycobacterial identification.
Date Issued
2021-06
Date Acceptance
2020-08-21
Citation
Clinical Microbiology and Infection, 2021, 27 (6), pp.912.e1-912.e5
URI
http://hdl.handle.net/10044/1/82651
URL
https://www.sciencedirect.com/science/article/pii/S1198743X20305103?via%3Dihub
DOI
https://www.dx.doi.org/10.1016/j.cmi.2020.08.027
ISSN
1198-743X
Publisher
Elsevier
Start Page
912.e1
End Page
912.e5
Journal / Book Title
Clinical Microbiology and Infection
Volume
27
Issue
6
Copyright Statement
© 2020 The Author(s). Published by Elsevier Ltd on behalf of European Society of Clinical Microbiologyand Infectious Diseases. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
License URL
http://creativecommons.org/licenses/by/4.0/
Sponsor
Wellcome Trust
Identifier
https://www.sciencedirect.com/science/article/pii/S1198743X20305103?via%3Dihub
Grant Number
105603/Z/14/Z
Subjects
Diagnostics
Evaluation
Lipids
MALDI
Mycobacteria
1103 Clinical Sciences
1117 Public Health and Health Services
Microbiology
Publication Status
Published
Date Publish Online
2020-08-27
About
Spiral Depositing with Spiral Publishing with Spiral Symplectic
Contact us
Open access team Report an issue
Other Services
Scholarly Communications Library Services
logo

Imperial College London

South Kensington Campus

London SW7 2AZ, UK

tel: +44 (0)20 7589 5111

Accessibility Modern slavery statement Cookie Policy

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback