Evidence map›Paper›PMID 32939739›Full record

ArticleMolecular diagnosis & therapy2020

Characterization of Long Non-coding RNA Signatures of Intracranial Aneurysm in Circulating Whole Blood.

Vincent M Tutino, Kerry E Poppenberg, Robert J Damiano, Tatsat R Patel, Muhammad Waqas, Adam A Dmytriw, Kenneth V Snyder, Adnan H Siddiqui, James N Jarvis

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Article in Molecular diagnosis & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 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

9 authors at 3 institutions in 2 countries.

Vincent M TutinoCanon Stroke and Vascular Research Center, 875 Ellicott Street, Buffalo, NY, 14214, USA. vincentt@buffalo.edu.ORCID 0000-0002-1331-2551
Kerry E PoppenbergCanon Stroke and Vascular Research Center, 875 Ellicott Street, Buffalo, NY, 14214, USA.
Robert J DamianoCanon Stroke and Vascular Research Center, 875 Ellicott Street, Buffalo, NY, 14214, USA.
Tatsat R PatelCanon Stroke and Vascular Research Center, 875 Ellicott Street, Buffalo, NY, 14214, USA.
Muhammad WaqasCanon Stroke and Vascular Research Center, 875 Ellicott Street, Buffalo, NY, 14214, USA.
Adam A DmytriwDepartment of Medical Imaging, University of Toronto, Toronto, ON, Canada.
Kenneth V SnyderCanon Stroke and Vascular Research Center, 875 Ellicott Street, Buffalo, NY, 14214, USA.
Adnan H SiddiquiCanon Stroke and Vascular Research Center, 875 Ellicott Street, Buffalo, NY, 14214, USA.
James N JarvisDepartment of Pediatrics, University at Buffalo, Buffalo, NY, USA.
Canon (United States) · USUniversity at Buffalo, State University of New York · USUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveLong non-coding RNAs (lncRNAs) may serve as biomarkers for complex disease states, such as intracranial aneurysms. In this study, we investigated lncRNA expression differences in the whole blood of patients with unruptured aneurysms.

methodsWhole blood RNA from 67 subjects (34 with aneurysm, 33 without) was used for next-generation RNA sequencing. Differential expression analysis was used to define a signature of intracranial aneurysm-associated lncRNAs. To estimate the signature's ability to classify aneurysms and to identify the most predictive lncRNAs, we implemented a nested cross-validation pipeline to train classifiers using linear discriminant analysis. Ingenuity pathway analysis was used to study potential biological roles of differentially expressed lncRNAs, and lncRNA ontology was used to investigate ontologies enriched in signature lncRNAs. Co-expression correlation analysis was performed to investigate associated differential protein-coding messenger RNA expression.

resultsOf 4639 detected lncRNAs, 263 were significantly different (p < 0.05) between the two groups, and 84 of those had an absolute fold-change ≥ 1.5. An eight-lncRNA signature (q < 0.35, fold-change ≥ 1.5) was able to separate patients with and without aneurysms on principal component analysis, and had an estimated accuracy of 70.9% in nested cross-validation. Bioinformatics analyses showed that networks of differentially expressed lncRNAs (p < 0.05) were enriched for cell death and survival, connective tissue disorders, carbohydrate metabolism, and cardiovascular disease. Signature lncRNAs shared ontologies that reflected regulation of gene expression, signaling, ubiquitin processing, and p53 signaling. Co-expression analysis showed correlations with messenger RNAs related to inflammatory responses.

conclusionsDifferential expression in whole blood lncRNAs is detectable in patients harboring aneurysms, and reflects expression/signaling regulation, and ubiquitin and p53 pathways. Following validation in larger cohorts, these lncRNAs may be potential diagnostic targets for aneurysm detection by blood testing.

Indexed as

Gene Expression ProfilingGene Expression RegulationCase-Control StudiesDiscriminant AnalysisFemaleGene OntologyGene Regulatory NetworksHumansIntracranial AneurysmMaleMiddle AgedRNA, Long NoncodingRNA, Long Noncoding

Identifiers

PMID32939739
OpenAlexW3087270207

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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.