Evidence map›Paper›PMID 31762962›Full record

ArticleJournal of extracellular vesicles2019

Small RNA-sequence analysis of plasma-derived extracellular vesicle miRNAs in smokers and patients with chronic obstructive pulmonary disease as circulating biomarkers.

Isaac Kirubakaran Sundar, Dongmei Li, Irfan Rahman

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 3 pooled it
7.2field-weighted citation impact, top 2% 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

108 citing papers in PubMed, 3 syntheses or guidelines pooled it, 152 citations in OpenAlex.

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  14. The dual promise of extracellular vesicles in lung diseases: towards reliable biomarkers and drug delivery vectors.European respiratory review : an official journal of the European Respiratory Society · 2026
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48 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Isaac Kirubakaran SundarDepartment of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, USA.ORCID 0000-0001-6742-3460
Dongmei LiDepartment of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, USA.ORCID 0000-0001-9140-2483
Irfan RahmanDepartment of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, USA.ORCID 0000-0003-2274-2454
University of Rochester Medical Center · US

Funding

The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
MECHANISMS OF CIGARETTE SMOKE-INDUCED LUNG CELLULAR SENESCENCER01HL085613 · NHLBI · UNIVERSITY OF ROCHESTER · PI RAHMAN, IRFAN · 2007 to 2017
$4.0M
Inflammatory and Dysregulated Repair Responses to Inhaled NicotineR01HL135613 · NHLBI · UNIVERSITY OF ROCHESTER · PI RAHMAN, IRFAN · 2017 to 2021
$2.7M
Mechanism of Mitochondrial Dysfunction in COPDR01HL137738 · NHLBI · UNIVERSITY OF ROCHESTER · PI RAHMAN, IRFAN · 2017 to 2020
$1.5M
Exosomes in Environmental Tobacco Smoke-induced Lung Cellular SenescenceR21ES028006 · NIEHS · UNIVERSITY OF ROCHESTER · PI RAHMAN, IRFAN · 2017 to 2018
$423k
NCATS NIH HHS UL1 TR002001NHLBI NIH HHS R01 HL085613NHLBI NIH HHS R01 HL135613NHLBI NIH HHS R01 HL137738NIEHS NIH HHS R21 ES028006
6 · The paper itself

Abstract

Extracellular vesicles (EVs) play a vital role in normal lung physiology to maintain homeostasis in the airways via intercellular communication. EVs include exosomes and microvesicles, and are characterized by their phospholipid bilayers. EVs have been recognized as novel circulating biomarkers of disease, which are released by different cell types. In this study, we used different EV isolation and purification methods to characterize the plasma-derived EV miRNAs from non-smokers, smokers and patients with COPD. A small RNA sequencing (RNA-seq) approach was adapted to identify novel circulating EV miRNAs. We found that plasma-derived EVs from non-smokers, smokers and patients with COPD vary in their size, concentration, distribution and phenotypic characteristics as confirmed by nanoparticle tracking analysis, transmission electron microscopy, and immunoblot analysis of EV surface markers. RNA-seq analysis confirmed the most abundant types of small RNAs, such as miRNAs, tRNAs, piRNAs snRNAs, snoRNAs and other biotypes in plasma-derived EVs. We mainly focused on miRNAs as novel biomarkers in smokers and patients with COPD for further analysis. Differential expression by DESeq2 identified distinct miRNA profiles (up-regulated: miR-22-3p, miR-99a-5p, miR-151a-5p, miR-320b, miR-320d; and down-regulated: miR-335-5p, miR-628-3p, miR-887-5p and miR-937-3p) in COPD versus smokers or non-smokers in a pairwise comparison. Gene set enrichment analysis (GSEA) of differentially expressed miRNAs revealed the top pathways, gene ontology and diseases associated with smokers and patients with COPD. We selectively validated miRNAs in EVs isolated from BEAS-2B cells treated with cigarette smoke extract by quantitative PCR analysis. For the first time, we report that plasma-derived EV miRNAs are novel circulating pulmonary disease biomarkers. Thus, molecular profiling of EV miRNAs has great translational potential for the development of biomarkers that may be used in the diagnosis, prognosis, and therapeutics of COPD.

Indexed as

biomarkerCOPDExtracellular vesiclesmiRNAsnext-generation sequencing

Identifiers

PMID31762962
PMCPMC6848892
OpenAlexW2984054736

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.