Evidence map›Paper›PMID 35460016›Full record

ReviewJournal of cardiovascular translational research2022

Emerging Roles of Extracellular Non-Coding RNAs in Vascular Diseases.

Yaxiong Fang, Xiaoyan Dai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Yaxiong FangKey Laboratory of Molecular Target & Clinical Pharmacology and the State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou, 511436, Guangdong, China.
Xiaoyan DaiKey Laboratory of Molecular Target & Clinical Pharmacology and the State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou, 511436, Guangdong, China. xdai@gzhmu.edu.cn.ORCID 0000-0001-5695-6384
State Key Laboratory of Respiratory Disease · CN

Funding

National Natural Science Foundation of China 81974046National Natural Science Foundation of China 82170467
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are secreted by cells and carry diverse components, including proteins, lipids, nucleic acids, and metabolites. EVs could be found in blood and other biofluids. They vary greatly in size, function, cargo, and cellular origin. Accumulating evidence shows that extracellular non-coding RNAs, the dominant extracellular RNAs encapsulated into EVs, function as critical mediators of cell-cell communication and play critical roles in human health and disease. Blood vessels form a dense network that nourishes all of the body's tissues. These vascular networks' dysregulated functions contribute to vascular diseases, such as pulmonary arterial hypertension (PAH), hypertension, atherosclerosis, and aneurysm. With the increase in unhealthy lifestyle-associated obesity and metabolic disorders, vascular diseases are becoming serious medical and public health issues with a profound global economic burden. The present review summarizes the latest advances on extracellular non-coding RNAs in pathological vascular remodeling-associated diseases, briefly describing vessel-associated extracellular non-coding RNAs and their mechanisms of action.

Indexed as

ExosomesExtracellular VesiclesVascular DiseasesCell CommunicationHumansRNARNAExosomesExtracellular RNAExtracellular vesiclesMicroRNAsNon-coding RNAsVascular diseases

Identifiers

PMID35460016
OpenAlexW4224210480

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.