Evidence map›Paper›PMID 34834268›Full record

ArticlePharmaceutics2021

Lipid Nanoparticles Loaded with Farnesol or Geraniol to Enhance the Susceptibility of

Chantal Valcourt, Julien M Buyck, Nicolas Grégoire, William Couet, Sandrine Marchand, Frédéric Tewes

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 44% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Chantal ValcourtINSERM U1070 "Pharmacology of Anti-Infective Agents", 1 rue Georges Bonnet, Pôle Biologie Santé, 86022 Poitiers, France.
Julien M BuyckINSERM U1070 "Pharmacology of Anti-Infective Agents", 1 rue Georges Bonnet, Pôle Biologie Santé, 86022 Poitiers, France.ORCID 0000-0003-0299-4654
Nicolas GrégoireINSERM U1070 "Pharmacology of Anti-Infective Agents", 1 rue Georges Bonnet, Pôle Biologie Santé, 86022 Poitiers, France.
William CouetINSERM U1070 "Pharmacology of Anti-Infective Agents", 1 rue Georges Bonnet, Pôle Biologie Santé, 86022 Poitiers, France.
Sandrine MarchandINSERM U1070 "Pharmacology of Anti-Infective Agents", 1 rue Georges Bonnet, Pôle Biologie Santé, 86022 Poitiers, France.
Frédéric TewesINSERM U1070 "Pharmacology of Anti-Infective Agents", 1 rue Georges Bonnet, Pôle Biologie Santé, 86022 Poitiers, France.ORCID 0000-0002-7865-718X
Inserm · FR

Funding

Agence Nationale de la Recherche ANR-15-CE21-0015
6 · The paper itself

Abstract

Resistance to colistin, one of the antibiotics of last resort against multidrug-resistant Gram-negative bacteria, is increasingly reported. Notably, MCR plasmids discovered in 2015 have now been reported worldwide in humans. To keep this antibiotic of last resort efficient, a way to tackle this mechanism seems essential. Terpene alcohols such as farnesol have been shown to improve the efficacy of some antibiotics. However, their high lipophilicity makes them difficult to use. This problem can be solved by encapsulating them in water-dispersible lipid nanoparticles (LNPs). The aim of this study was to discover, using checkerboard tests and time-kill curve experiments, an association between colistin and farnesol or geraniol loaded in LNPs, which would improve the efficacy of colistin against

Indexed as

antibiotic-non-antibiotic combinationE. coliEmax modelfarnesollipid nanoparticlemcr-1time-kill curve

Identifiers

PMID34834268
PMCPMC8625850
OpenAlexW3208939642

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.