Evidence map›Paper›PMID 37435923›Full record

ReviewAnnals of medicine2023

A review on the current literature regarding the value of exosome miRNAs in various diseases.

Senjie Li, Dongqing Lv, Hong Yang, Yan Lu, Yongping Jia

Abstract readReview
In one paragraph

Review in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

5 authors.

Senjie LiDepartment of Cardiology, First Hospital of Shanxi Medical University, Taiyuan, China.
Dongqing LvDepartment of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China.
Hong YangDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China.
Yan LuDepartment of Cardiology, First Hospital of Shanxi Medical University, Taiyuan, China.
Yongping JiaDepartment of Cardiology, First Hospital of Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosome microRNAs (miRNAs) have great research outlook in clinical therapy and biomarkers, they have been found to have a close to multiple diseases. A growing number of studies have attempted to alleviate or treat diseases through exosomes. It indicates that miRNAs in exosomes have great significance in preventing and controlling diseases in clinical research. We summarise these studies below to better understand their implications. We screened and analyzed more than 100 articles from PubMed, Web of Science, and other databases from 1987 to 2022. Data of the clinical trials are collected from clinicaltrials.gov. In this review, we introduce the source, type, and characteristics of several exosomes, summarising current research on their role in cardiovascular, nervous system disease, tumour, and other diseases. Further, we discuss their mechanism of action and future directions for development of treatments in several diseases, and highlight the significant research value and potential use of exosomes in clinical diagnosis and treatment. An increasing number of researchers have begun to explore the link between exosomal miRNAs and diseases. More exosome therapeutics will be used in future clinical trials, which may bring new hope for the diagnosis and treatment of several diseases.KEY MESSAGESExosomes have unique advantages in molecular transport and cell signal transduction.miRNAs play an essential role in the formation of multiple diseases.Research on the clinical application and potential value of exosomes is growing.

Indexed as

Cardiovascular DiseasesExosomesMicroRNAsDatabases, FactualHumansMicroRNAsclinical treatmentExosomemechanismmiRNAsstem cells

Identifiers

PMID37435923
PMCPMC10339768

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Registered trials

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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.