Evidence map›Paper›PMID 34766286›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Enhancing the Therapeutic Potential of Extracellular Vesicles Using Peptide Technology.

Carla Martin Perez, Mariana Conceição, Richard Raz, Matthew J A Wood, Thomas C Roberts

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

5 authors at 1 institution in 1 country.

Carla Martin PerezDepartment of Paediatrics, University of Oxford, Oxford, UK.
Mariana ConceiçãoDepartment of Paediatrics, University of Oxford, Oxford, UK.
Richard RazDepartment of Paediatrics, University of Oxford, Oxford, UK.
Matthew J A WoodDepartment of Paediatrics, University of Oxford, Oxford, UK.
Thomas C RobertsDepartment of Paediatrics, University of Oxford, Oxford, UK. thomas.roberts@paediatrics.ox.ac.uk.
University of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles are lipid-bilayer-enclosed nanoparticles present in the majority of biological fluids that mediate intercellular communication. EVs are able to transfer their contents (including nucleic acids, proteins, lipids, and small molecules) to recipient cells, and thus hold great promise as drug delivery vehicles. However, their therapeutic application is limited by lack of efficient cargo loading strategies, a need to improve EV tissue-targeting capabilities and a requirement to improve escape from the endolysosomal system. These challenges can be effectively addressed by modifying EVs with peptides which confer specific advantageous properties, thus enhancing their therapeutic potential. Here we provide an overview of the applications of peptide technology with respect to EV therapeutics. We focus on the utility of EV-modifying peptides for the purposes of promoting cargo loading, tissue-targeting and endosomal escape, leading to enhanced delivery of the EV cargo to desired cells/tissues and subcellular target locations. Both endogenous and exogenous methods for modifying EVs with peptides are considered.

Indexed as

Extracellular VesiclesDrug Delivery SystemsNanoparticlesPeptidesTechnologyPeptidesCell-penetrating peptidesDrug deliveryEndosomal escapeEVsExtracellular vesiclesPeptidesTargeting peptidesTissue targeting

Identifiers

PMID34766286
OpenAlexW3213579736

What Socratic holds

Textmetadata
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 Socratic graph.