Evidence map›Paper›PMID 33779927›Full record

ArticleSub-cellular biochemistry2021

Emerging Roles of Extracellular Vesicles Derived Non-Coding RNAs in the Cardiovascular System.

Ramasamy Subbiah, Divya Sridharan, Karthika Duairaj, K Shanmugha Rajan, Mahmood Khan, Venkata Naga Srikanth Garikipati

Abstract read
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In one paragraph

Article in Sub-cellular biochemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ramasamy SubbiahCardiac Hypertrophy Laboratory, Department of Molecular Biology, School of Biological Sciences, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
Divya SridharanDepartment of Emergency Medicine, Dorothy M. Davis Heart Lung and Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Karthika DuairajCardiac Hypertrophy Laboratory, Department of Molecular Biology, School of Biological Sciences, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
K Shanmugha RajanThe Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel.
Mahmood KhanDepartment of Emergency Medicine, Dorothy M. Davis Heart Lung and Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Venkata Naga Srikanth GarikipatiDepartment of Emergency Medicine, Dorothy M. Davis Heart Lung and Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA. venkata.garikipati@osumc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease is the leading cause of morbidity and mortality all over the world. Emerging evidence emphasize the importance of extracellular vesicles (EVs) in the cell to cell communication in the cardiovascular system which is majorly mediated through non-coding RNA cargo. Advancement in sequencing technologies revealed a major proportion of human genome is composed of non-coding RNAs viz., miRNAs, lncRNAs, tRNAs, snoRNAs, piRNAs and rRNAs. However, our understanding of the role of ncRNAs-containing EVs in cardiovascular health and disease is still in its infancy. This book chapter provides a comprehensive update on our understanding on the role of EVs derived ncRNAs in the cardiovascular pathophysiology and their therapeutic potential.

Indexed as

Cardiovascular SystemExtracellular VesiclesMicroRNAsHumansRNA, UntranslatedMicroRNAsRNA, UntranslatedCardiovascular diseasecircular RNAExtracellular VesicleslncRNAmiRNA

Identifiers

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.