Evidence map›Paper›PMID 38026881›Full record

ReviewFrontiers in bioengineering and biotechnology2023

Emerging technologies for engineering of extracellular vesicles.

Xin Zhou, Qing Huang, Yang Jiang, Huijing Tang, Luhan Zhang, Danyang Li, Yunsheng Xu

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
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

7 authors.

Xin ZhouResearch Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Qing HuangResearch Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yang JiangResearch Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Huijing TangResearch Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Luhan ZhangResearch Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Danyang LiResearch Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yunsheng XuResearch Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are lipid-bilayer membrane-enclosed vesicles that are secreted by all cell types. Natural EVs contain biological information such as proteins, nucleic acids, and lipids from their parent cells. Therefore, EVs have been extensively studied as diagnostic biomarkers and therapeutic tools under normal and pathological conditions. However, some drawbacks, including low yield, poor therapeutic effects, lack of imaging, and targeting capacity of natural EVs, still need to be improved. Emerging engineering technologies have rendered EVs new properties or functionalities that broadened their applications in the biomedical field. Herein, in this review, we gave a brief overview of advanced strategies for EV engineering. We focused on pre-treatment of parent cells to regulate their released EVs. Meanwhile, we summarized and discussed the direct modification of EVs to achieve drug loading, imaging, and targeting functionalities for downstream applications.

Indexed as

direct modificationengineering strategyextracellular vesicleparent cellpre-treatment

Identifiers

PMID38026881
PMCPMC10666158

What OpenQuestion holds

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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.