Evidence map›Paper›PMID 30603519›Full record

ReviewTissue engineering and regenerative medicine2017

Extracellular Vesicles in Neurodegenerative Diseases: A Double-Edged Sword.

Ji Yong Lee, Han-Soo Kim

Erratum issuedOpen access · bronzeAbstract readReview
In one paragraph

Review in Tissue engineering and regenerative medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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  18. Engineering Human Brain Organoids: From Basic Research to Tissue Regeneration.Tissue engineering and regenerative medicine · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Ji Yong Lee1Department of Biomedical Engineering, Catholic Kwandong University, 24 Beomil-ro, 579beon-gil, Gangneung-si, Gangwon-do 25601 Republic of Korea.
Han-Soo Kim2Department of Biomedical Sciences, College of Medical Convergence, Catholic Kwandong University, 24 Beomil-ro 579beon-gil, Gangneung-si, Gangwon-do 25601 Republic of Korea.ORCID 0000-0001-8291-6140
Catholic Kwandong University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs), a heterogenous group of membrane-bound particles, are virtually secreted by all cells and play important roles in cell-cell communication. Loaded with proteins, mRNAs, non-coding RNAs and membrane lipids from their donor cells, these vesicles participate in normal physiological and pathogenic processes. In addition, these sub-cellular vesicles are implicated in the progression of neurodegenerative disorders. Accumulating evidence suggests that intercellular communication via EVs is responsible for the propagation of key pathogenic proteins involved in the pathogenesis of amyotrophic lateral sclerosis, Parkinson's diseases, Alzheimer's diseases and other neurodegenerative disorders. For therapeutic perspective, EVs present advantage over other synthetic drug delivery systems or cell therapy; ability to cross biological barriers including blood brain barrier (BBB), ability to modulate inflammation and immune responses, stability and longer biodistribution with lack of tumorigenicity. In this review, we summarized the current state of EV research in central nervous system in terms of their values in diagnosis, disease pathology and therapeutic applications.

Indexed as

Blood brain barrierDrug delivery systemExtracellular vesiclesNeurodegenerative diseases

Identifiers

PMID30603519
PMCPMC6171665
OpenAlexW2768615618

What OpenQuestion holds

Textmetadata
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.