Evidence mapPaperPMID 39749310Full record

ReviewFrontiers in cardiovascular medicine2024

Engineering extracellular vesicles for targeted therapeutics in cardiovascular disease.

Enze Fu, Kai Pan, Zongjin Li

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
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

13 citing papers in PubMed.

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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

3 authors.

Enze FuSchool of Medicine, Nankai University, Tianjin, China.
Kai PanSchool of Medicine, Nankai University, Tianjin, China.
Zongjin LiSchool of Medicine, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are nanosized particles secreted by cells that play crucial roles in intercellular communication, especially in the context of cardiovascular diseases (CVDs). These vesicles carry complex cargo, including proteins, lipids, and nucleic acids, that reflects the physiological or pathological state of their cells of origin. Multiomics analysis of cell-derived EVs has provided valuable insights into the molecular mechanisms underlying CVDs by identifying specific proteins and EV-bound targets involved in disease progression. Recent studies have demonstrated that engineered EVs, which are designed to carry specific therapeutic molecules or modified to enhance their targeting capabilities, hold promise for treating CVDs. Analysis of the EV proteome has been instrumental in identifying key proteins that can be targeted or modulated within these engineered vesicles. For example, proteins involved in inflammation, thrombosis, and cardiac remodeling have been identified as potential therapeutic targets. Furthermore, the engineering of EVs to increase their delivery to specific tissues, such as the myocardium, or to modulate their immunogenicity and therapeutic efficacy is an emerging area of research. By leveraging the insights gained from multiomics analyses, researchers are developing EV-based therapies that can selectively target pathological processes in CVDs, offering a novel and potentially more effective treatment strategy. This review integrates the core findings from EV multiomics analysis in the context of CVDs and highlights the potential of engineered EVs in therapeutic applications.

Indexed as

cardiovascular diseases (CVDs)engineeringextracellular vesicles (EVs)multiomics analysistargeted therapeutics

Identifiers

PMID39749310
PMCPMC11693616

What Socratic holds

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LicenceCC BY
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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 Socratic graph.