Evidence map›Paper›PMID 29083099›Full record

ReviewJournal of cellular and molecular medicine2018

Therapeutic application of extracellular vesicles in kidney disease: promises and challenges.

Lin-Li Lv, Wei-Jun Wu, Ye Feng, Zuo-Lin Li, Tao-Tao Tang, Bi-Cheng Liu

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

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  17. Therapeutic effects of high molecular weight hyaluronic acid in severeAmerican journal of physiology. Lung cellular and molecular physiology · 2021
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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 at 1 institution in 1 country.

Lin-Li LvInstitute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China.ORCID 0000-0003-4118-4304
Wei-Jun WuInstitute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China.
Ye FengInstitute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China.
Zuo-Lin LiInstitute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China.
Tao-Tao TangInstitute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China.
Bi-Cheng LiuInstitute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, China.
Zhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are nanosized, membrane-bound vesicles released from different cells. Recent studies have revealed that EVs may participate in renal tissue damage and regeneration through mediating inter-nephron communication. Thus, the potential use of EVs as therapeutic vector has gained considerable interest. In this review, we will discuss the basic characteristics of EVs and its role in nephron cellular communication. Then, the application of EVs as therapeutic vector based on its natural content or as carriers of drug, in acute and chronic kidney injury, was discussed. Finally, perspectives and challenges of EVs in therapy of kidney disease were described.

Indexed as

AnimalsCell CommunicationExtracellular VesiclesHumansKidney DiseasesModels, BiologicalMolecular Targeted TherapyNephronsexosomeextracellular vesiclekidney diseasetherapy

Identifiers

PMID29083099
PMCPMC5783839
OpenAlexW2766361739

What OpenQuestion holds

Textmetadata
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.