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Identification of pathogenic and nonpathogenic Leptospira species of Brazilian isolates by Matrix Assisted Laser Desorption/Ionization and Time Flight mass spectrometry

Overview of attention for article published in Brazilian Journal of Microbiology, October 2018
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Title
Identification of pathogenic and nonpathogenic Leptospira species of Brazilian isolates by Matrix Assisted Laser Desorption/Ionization and Time Flight mass spectrometry
Published in
Brazilian Journal of Microbiology, October 2018
DOI 10.1016/j.bjm.2018.03.005
Pubmed ID
Authors

Daniel Karcher, Rafaella C. Grenfell, Andrea Micke Moreno, Luisa Zanolli Moreno, Silvio Arruda Vasconcellos, Marcos B. Heinemann, Joao N. de Almeida Junior, Luiz Juliano, Maria A. Juliano

Abstract

Matrix Assisted Laser Desorption/Ionization and Time of Flight mass spectrometry (MALDI-TOF MS) is a powerful tool for the identification of bacteria through the detection and analysis of their proteins or fragments derived from ribosomes. Slight sequence variations in conserved ribosomal proteins distinguish microorganisms at the subspecies and strain levels. Characterization of Leptospira spp. by 16S RNA sequencing is costly and time-consuming, and recent studies have shown that closely related species (e.g., Leptospira interrogans and Leptospira kirschneri) may not be discriminated using this technology. Herein, we report an in-house Leptospira reference spectra database using Leptospira reference strains that were validated with a collection of well-identified Brazilian isolates kept in the Bacterial Zoonosis Laboratory at the Veterinary Preventive Medicine and Animal Health Department at Sao Paulo University. In addition, L. interrogans and L. kirschneri were differentiated using an in-depth mass spectrometry analysis with ClinProTools™ software. In conclusion, our in-house reference spectra database has the necessary accuracy to differentiate pathogenic and non-pathogenic species and to distinguish L. interrogans and L. kirschneri.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 14%
Student > Doctoral Student 5 12%
Other 4 9%
Researcher 3 7%
Professor 3 7%
Other 11 26%
Unknown 11 26%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 10 23%
Agricultural and Biological Sciences 6 14%
Immunology and Microbiology 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Medicine and Dentistry 2 5%
Other 6 14%
Unknown 13 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 April 2018.
All research outputs
#11,439,898
of 12,867,507 outputs
Outputs from Brazilian Journal of Microbiology
#343
of 434 outputs
Outputs of similar age
#235,132
of 270,017 outputs
Outputs of similar age from Brazilian Journal of Microbiology
#12
of 17 outputs
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So far Altmetric has tracked 434 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.