Evidence map›Paper›PMID 28088752›Full record

ReviewBiosensors & bioelectronics2017

Microfluidic approaches for isolation, detection, and characterization of extracellular vesicles: Current status and future directions.

Shima Gholizadeh, Mohamed Shehata Draz, Maryam Zarghooni, Amir Sanati-Nezhad, Saeid Ghavami, Hadi Shafiee, Mohsen Akbari

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biosensors & bioelectronics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed
10.6field-weighted citation impact, top 1% 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

106 citing papers in PubMed, 216 citations in OpenAlex.

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46 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

7 authors at 5 institutions in 4 countries.

Shima GholizadehDepartment of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
Mohamed Shehata DrazDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, USA.
Maryam ZarghooniDepartment of Laboratory Medicine and Pathobiology, University of Toronto Alumni, Toronto, Canada.
Amir Sanati-NezhadDepartment of Mechanical and Manufacturing Engineering, Center for Bioengineering Research and Education, Calgary, Alberta, Canada.
Saeid GhavamiDepartment of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands; Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, USA; Department of Laboratory Medicine and Pathobiology, University of Toronto Alumni, Toronto, Canada; Department of Mechanical and Manufacturing Engineering, Center for Bioengineering Research and Education, Calgary, Alberta, Canada; Department of Human Anatomy& Cell Science, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Children Hospital Research Institute of Manitoba, University of Manitoba, Canada; Health Research Policy Centre, Shiraz University of Medical Science, Shiraz, Iran.
Hadi ShafieeDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, USA.
Mohsen AkbariLaboratory for Innovation in Microengineering (LiME), Department of Mechanical Engineering, University of Victoria, 3800 Finnerty Rd., Victoria, BC, Canada V8P 2C5; Center for Biomedical Research, University of Victoria, Victoria, Canada; Center for Advanced Materials and Related Technology (CAMTEC), University of Victoria, Victoria, Canada. Electronic address: makbari@uvic.ca.
Harvard University · USShiraz University · IRUniversity of Toronto · CAUniversity of Victoria · CAUtrecht University · NL

Funding

Sensitive and quantitative point-of-care viral load testing on paperR01AI118502 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI SHAFIEE, HADI · 2016 to 2020
$2.2M
NIAID NIH HHS R01 AI118502
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are cell-derived vesicles present in body fluids that play an essential role in various cellular processes, such as intercellular communication, inflammation, cellular homeostasis, survival, transport, and regeneration. Their isolation and analysis from body fluids have a great clinical potential to provide information on a variety of disease states such as cancer, cardiovascular complications and inflammatory disorders. Despite increasing scientific and clinical interest in this field, there are still no standardized procedures available for the purification, detection, and characterization of EVs. Advances in microfluidics allow for chemical sampling with increasingly high spatial resolution and under precise manipulation down to single molecule level. In this review, our objective is to give a brief overview on the working principle and examples of the isolation and detection methods with the potential to be used for extracellular vesicles. This review will also highlight the integrated on-chip systems for isolation and characterization of EVs.

Indexed as

Extracellular VesiclesAnimalsCell FractionationEquipment DesignHumansMicrofluidic Analytical TechniquesExosomesExtracellular vesiclesMicrochipMicrofluidics

Identifiers

PMID28088752
PMCPMC5323331
OpenAlexW2561023897

What OpenQuestion holds

Textmetadata
LicenceTDM
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.