Evidence map›Paper›PMID 41773945›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Circulating Exosomal MicroRNAs as Potential Biomarkers for Pulmonary Embolism.

Chongyu Zhang, Bulent Kantarcioglu, Prakasha Kempaiah, Srdjan Nikolovski, Fakiha Siddiqui, Ahmed Kouta, Fabio Lievano, Thao Doan, Simon Kaja, Amir Darki and 2 more

Abstract read
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Chongyu ZhangDepartment of Molecular Pharmacology and Neuroscience, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA.ORCID 0009-0005-5455-2585
Bulent KantarciogluDepartment of Molecular Pharmacology and Neuroscience, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA.ORCID 0000-0003-3060-721X
Prakasha KempaiahDepartment of Molecular Pharmacology and Neuroscience, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA.ORCID 0000-0002-2901-0339
Srdjan NikolovskiDepartment of Pathology and Laboratory Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA.ORCID 0000-0002-3142-2199
Fakiha SiddiquiDepartment of Pathology and Laboratory Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA.ORCID 0000-0002-2219-7049
Ahmed KoutaDepartment of Pathology and Laboratory Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA.
Fabio LievanoAbbVie, Inc., North Chicago, Illinois, USA.ORCID 0000-0002-3380-4844
Thao DoanAbbVie, Inc., North Chicago, Illinois, USA.
Simon KajaDepartment of Molecular Pharmacology and Neuroscience, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA.ORCID 0000-0001-6878-521X
Amir DarkiDivision of Cardiovascular Disease, Loyola University Medical Center, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA.
Jawed FareedDepartment of Pathology and Laboratory Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA.ORCID 0000-0003-3465-2499
W Keith JonesDepartment of Molecular Pharmacology and Neuroscience, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA.ORCID 0000-0002-7197-3825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary embolism (PE) is difficult to diagnose due to nonspecific symptomatology and lack of accurate diagnostic tools. PE can be categorized into low-risk, submassive, and massive based on severity. Changes in several plasma and serum microRNAs (miRNA) are associated with PE, but most lack appropriate specificity for diagnostic utility. Given the emerging role of small extracellular vesicles (sEVs) in PE pathogenesis, we hypothesized that the microRNAs (miRs) circulating within these sEVs can be sampled to gain new information for biomarker studies and disease mechanisms. To address current technical limitations, we developed a novel high-yield size-exclusion chromatography (SEC) method for sEV isolation from small clinical plasma samples, and employed a non-biased method, RNA-Seq, to gain new information for RNA markers that have not been previously studied in the disease. Our goal was to establish the feasibility of the approach in a pilot study with pooled samples from a stratified (AHA criteria) patient population. We present information from sEV characterization studies of individual patient samples, and RNA-Seq data from the pools. PE patients had larger sEVs than healthy subjects. Small RNA sequencing of the sEV samples revealed differential miRNA expression patterns that correlated with PE severity and were predicted to be involved in PE pathology-related processes. Our data offer a first step toward identifying miRNA targets that may have utility in a miRNA biomarker panel for PE diagnosis, prediction of severity, treatment responses and adverse outcomes. This strategy can be extended to the detection of adverse effects and drug-drug interactions as well.

Indexed as

Circulating MicroRNAExosomesMicroRNAsPulmonary EmbolismBiomarkersFemaleHumansMaleBiomarkersCirculating MicroRNAMicroRNAsBiomarker panelsExosomesExtracellular VesiclesmicroRNAPulmonary EmbolismSmall RNA Sequencing

Identifiers

PMID41773945
PMCPMC13208706

What Socratic 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 Socratic graph.