Evidence map›Paper›PMID 29747393›Full record

ArticleBioengineering (Basel, Switzerland)2018

Anti-RSV Peptide-Loaded Liposomes for the Inhibition of Respiratory Syncytial Virus.

Sameer Joshi, Atul A Chaudhari, Vida Dennis, Daniel J Kirby, Yvonne Perrie, Shree Ram Singh

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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 3 institutions in 2 countries.

Sameer JoshiCenter for NanoBiotechnology Research, Alabama State University, Montgomery, AL 36016, USA. sjoshi@alasu.edu.
Atul A ChaudhariCenter for NanoBiotechnology Research, Alabama State University, Montgomery, AL 36016, USA. atulvet@gmail.com.
Vida DennisCenter for NanoBiotechnology Research, Alabama State University, Montgomery, AL 36016, USA. vdennis@alasu.edu.
Daniel J KirbyAston Pharmacy School, Life and Health Sciences, Aston University, Birmingham B4 7ET, UK. d.j.kirby1@aston.ac.uk.ORCID 0000-0002-0878-2620
Yvonne PerrieStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow G4 0RE, UK. yvonne.perrie@strath.ac.uk.
Shree Ram SinghCenter for NanoBiotechnology Research, Alabama State University, Montgomery, AL 36016, USA. ssingh@alasu.edu.ORCID 0000-0002-3571-2222
Alabama State University · USAston University · GBUniversity of Strathclyde · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although respiratory syncytial virus (RSV) is one of the leading causes of acute respiratory tract infection in infants and adults, effective treatment options remain limited. To circumvent this issue, there is a novel approach, namely, the development of multifunctional liposomes for the delivery of anti RSV-peptides. While most of the peptides that are used for loading with the particulate delivery systems are the penetrating peptides, an alternative approach is the development of liposome-peptide systems, which are loaded with an RSV fusion peptide (RF-482), which has been designed to inhibit the RSV fusion and block infection. The results of this work have revealed that the liposomes themselves can serve as potential RSV inhibitors, whilst the anti-RSV-peptide with liposomes can significantly increase the RSV inhibition when compared with the anti-RSV peptide alone.

Indexed as

hydrophilicliposomespeptiderespiratory syncytial virus

Identifiers

PMID29747393
PMCPMC6027156
OpenAlexW2800891597

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.