Evidence map›Paper›PMID 37520326›Full record

ReviewFrontiers in molecular biosciences2023

The lipid composition of extracellular vesicles: applications in diagnostics and therapeutic delivery.

Samaneh Ghadami, Kristen Dellinger

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
153citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

153 citing papers in PubMed, 1 synthesis or guideline pooled it.

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93 more citing papers are in PubMed but not listed here.

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

2 authors.

Samaneh GhadamiDepartment of Nanoengineering, Joint School of Nanoscience and Nanoengineering, North Carolina A&T State University, Greensboro, NC, United States.
Kristen DellingerDepartment of Nanoengineering, Joint School of Nanoscience and Nanoengineering, North Carolina A&T State University, Greensboro, NC, United States.

Funding

North Carolina Translational and Clinical Science Institute (NC TraCS) KL2KL2TR002490 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEINBERGER, MORRIS · 2018 to 2022
$11.0M
A Diagnostic Platform for Extracellular Vesicle-Derived Biomarkers - Towards Early Detection of Alzheimer's DiseaseR16GM149496 · NIGMS · NORTH CAROLINA AGRI & TECH ST UNIV · PI Kristen Dellinger · 2023 to 2026
$563k
NCATS NIH HHS KL2 TR002490NIGMS NIH HHS R16 GM149496
6 · The paper itself

Abstract

Extracellular vesicles (EVs), including exosomes, with nanoscale sizes, biological origins, various functions, and unique lipid and protein compositions have been introduced as versatile tools for diagnostic and therapeutic medical applications. Numerous studies have reported the importance of the lipid composition of EVs and its influence on their mechanism of action. For example, changes in the lipidomic profile of EVs have been shown to influence the progression of various diseases, including ovarian malignancies and prostate cancer. In this review, we endeavored to examine differences in the lipid content of EV membranes derived from different cell types to characterize their capabilities as diagnostic tools and treatments for diseases like cancer and Alzheimer's disease. We additionally discuss designing functionalized vesicles, whether synthetically by hybrid methods or by changing the lipid composition of natural EVs. Lastly, we provide an overview of current and potential biomedical applications and perspectives on the future of this growing field.

Indexed as

Alzheimer’s diseasecancerexosome engineeringexosomesextracellular vesicleslipidomelipidstargeting

Identifiers

PMID37520326
PMCPMC10381967

What OpenQuestion holds

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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.