↓ Skip to main content

Tailored liposomal nanotraps for the treatment of Streptococcal infections

Overview of attention for article published in Journal of Nanobiotechnology, February 2021
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Tailored liposomal nanotraps for the treatment of Streptococcal infections
Published in
Journal of Nanobiotechnology, February 2021
DOI 10.1186/s12951-021-00775-x
Pubmed ID
Authors

Hervé Besançon, Viktoriia Babiychuk, Yu Larpin, René Köffel, Dominik Schittny, Lara Brockhus, Lucy J. Hathaway, Parham Sendi, Annette Draeger, Eduard Babiychuk

Abstract

Streptococcal infections are associated with life-threatening pneumonia and sepsis. The rise in antibiotic resistance calls for novel approaches to treat bacterial diseases. Anti-virulence strategies promote a natural way of pathogen clearance by eliminating the advantage provided to bacteria by their virulence factors. In contrast to antibiotics, anti-virulence agents are less likely to exert selective evolutionary pressure, which is a prerequisite for the development of drug resistance. As part of their virulence mechanism, many bacterial pathogens secrete cytolytic exotoxins (hemolysins) that destroy the host cell by destabilizing their plasma membrane. Liposomal nanotraps, mimicking plasmalemmal structures of host cells that are specifically targeted by bacterial toxins are being developed in order to neutralize-by competitive sequestration-numerous exotoxins. In this study, the liposomal nanotrap technology is further developed to simultaneously neutralize the whole palette of cytolysins produced by Streptococcus pneumoniae, Streptococcus pyogenes and Streptococcus dysgalactiae subspecies equisimilis-pathogens that can cause life-threatening streptococcal toxic shock syndrome. We show that the mixture of liposomes containing high amounts of cholesterol and liposomes composed exclusively of choline-containing phospholipids is fully protective against the combined action of exotoxins secreted by these pathogens. Unravelling the universal mechanisms that define targeting of host cells by streptococcal cytolysins paves the way for a broad-spectrum anti-toxin therapy that can be applied without a diagnostic delay for the treatment of bacterial infections including those caused by antibiotic-resistant pathogens.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Student > Ph. D. Student 3 13%
Researcher 2 9%
Student > Postgraduate 2 9%
Unspecified 1 4%
Other 3 13%
Unknown 8 35%
Readers by discipline Count As %
Medicine and Dentistry 2 9%
Engineering 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Immunology and Microbiology 2 9%
Business, Management and Accounting 1 4%
Other 5 22%
Unknown 9 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 November 2021.
All research outputs
#7,647,369
of 23,283,373 outputs
Outputs from Journal of Nanobiotechnology
#300
of 1,485 outputs
Outputs of similar age
#210,509
of 548,444 outputs
Outputs of similar age from Journal of Nanobiotechnology
#12
of 62 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,485 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 548,444 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.