Evidence map›Paper›PMID 38712329›Full record

ArticleNano research2024

Exploiting Sound for Emerging Applications of Extracellular Vesicles.

Zhuhao Wu, Hongwei Cai, Chunhui Tian, Zheng Ao, Lei Jiang, Feng Guo

Abstract read
In one paragraph

Article in Nano research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

6 authors.

Zhuhao WuDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, United States.
Hongwei CaiDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, United States.
Chunhui TianDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, United States.
Zheng AoDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, United States.
Lei JiangDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, United States.
Feng GuoDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, United States.

Funding

An automated portable system for detecting and treating opioid induced respiratory depressionU01DA056242 · NIDA · TRUSTEES OF INDIANA UNIVERSITY · PI GUO, FENG, MACKIE, KENNETH · 2022 to 2024
$3.8M
Early detection of type 1 diabetes via Exosome Technology with Optoelectronics Lab-on-chip: EXTOLR01DK133864 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI GAGLIA, JASON, GUO, FENG · 2022 to 2025
$3.0M
An acoustofluidic avidity cytometer for massive parallel profiling single autoreactive T cell in autoimmune diseaseDP2AI160242 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI GUO, FENG · 2020 to 2020
$2.4M
NIAID NIH HHS DP2 AI160242NIDA NIH HHS U01 DA056242NIDDK NIH HHS R01 DK133864
6 · The paper itself

Abstract

Extracellular vesicles are nano- to microscale, membrane-bound particles released by cells into extracellular space, and act as carriers of biomarkers and therapeutics, holding promising potential in translational medicine. However, the challenges remain in handling and detecting extracellular vesicles for disease diagnosis as well as exploring their therapeutic capability for disease treatment. Here, we review the recent engineering and technology advances by leveraging the power of sound waves to address the challenges in diagnostic and therapeutic applications of extracellular vesicles and biomimetic nanovesicles. We first introduce the fundamental principles of sound waves for understanding different acoustic-assisted extracellular vesicle technologies. We discuss the acoustic-assisted diagnostic methods including the purification, manipulation, biosensing, and bioimaging of extracellular vesicles. Then, we summarize the recent advances in acoustically enhanced therapeutics using extracellular vesicles and biomimetic nanovesicles. Finally, we provide perspectives into current challenges and future clinical applications of the promising extracellular vesicles and biomimetic nanovesicles powered by sound.

Indexed as

acousticsbiomimetic nanovesiclesdisease diagnosticsexosomesextracellular vesiclestherapeutics

Identifiers

PMID38712329
PMCPMC11073796

What OpenQuestion holds

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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.