Evidence map›Paper›PMID 26918470›Full record

ArticleJournal of neurosurgery2016

MicroRNA and gene expression changes in unruptured human cerebral aneurysms.

Kimon Bekelis, Joanna S Kerley-Hamilton, Amy Teegarden, Craig R Tomlinson, Rachael Kuintzle, Nathan Simmons, Robert J Singer, David W Roberts, Manolis Kellis, David A Hendrix

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neurosurgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

33 citing papers in PubMed, 51 citations in OpenAlex.

  1. Epigenetic mechanisms in aneurysm formation, growth, and rupture: A systematic review.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
    Review
  2. Molecular Targets for Intracranial Aneurysm Treatment.International journal of molecular sciences · 2025
    Review
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  17. Circulation · 2021
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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

10 authors at 4 institutions in 1 country.

Kimon BekelisSection of Neurosurgery and.
Joanna S Kerley-HamiltonDartmouth Genomics and Microarray Laboratory, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Amy TeegardenDepartment of Biochemistry and Biophysics and.
Craig R TomlinsonDartmouth Genomics and Microarray Laboratory, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Rachael KuintzleDepartment of Biochemistry and Biophysics and.
Nathan SimmonsSection of Neurosurgery and.
Robert J SingerSection of Neurosurgery and.
David W RobertsSection of Neurosurgery and.
Manolis KellisMIT Computational Biology Group and.
David A HendrixDepartment of Biochemistry and Biophysics and.
Dartmouth College · USDartmouth–Hitchcock Medical Center · USBroad Institute · USOregon State University · US

Funding

A Data Analysis Center for integration of fly and worm modENCODE datasetsRC2HG005639 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2009 to 2011
$4.1M
Regulatory Morif Discovery in the Human Genome Using Comparative GenomicsR01HG004037 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2007 to 2015
$3.9M
Interpreting non-coding variants using epigenomics, regulatory models, & validation experimentsR01HG008155 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2015 to 2017
$2.3M
Network-based prediction and validation of causal schizophrenia genes and variantsR01MH109978 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI EGGAN, KEVIN C, KELLIS, MANOLIS · 2016 to 2020
$2.1M
Integrative analysis of genomic and epigenomic datasets in multiple cell typesRC1HG005334 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2009 to 2011
$1.4M
Comparative analysis and regulatory architecture of epigenomics datasetsR01GM113708 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2015 to 2017
$852k
Circadian regulation of neuroprotective genes during agingR21AG052950 · NIA · OREGON STATE UNIVERSITY · PI GIEBULTOWICZ, JADWIGA M, HENDRIX, DAVID ANTHONY · 2016 to 2017
$395k
NHGRI NIH HHS R01 HG004037NHGRI NIH HHS R01 HG008155NHGRI NIH HHS RC1 HG005334NHGRI NIH HHS RC2 HG005639NIA NIH HHS R21 AG052950NIGMS NIH HHS R01 GM113708NIMH NIH HHS R01 MH109978
6 · The paper itself

Abstract

OBJECTIVE The molecular mechanisms behind cerebral aneurysm formation and rupture remain poorly understood. In the past decade, microRNAs (miRNAs) have been shown to be key regulators in a host of biological processes. They are noncoding RNA molecules, approximately 21 nucleotides long, that posttranscriptionally inhibit mRNAs by attenuating protein translation and promoting mRNA degradation. The miRNA and mRNA interactions and expression levels in cerebral aneurysm tissue from human subjects were profiled. METHODS A prospective case-control study was performed on human subjects to characterize the differential expression of mRNA and miRNA in unruptured cerebral aneurysms in comparison with control tissue (healthy superficial temporal arteries [STA]). Ion Torrent was used for deep RNA sequencing. Affymetrix miRNA microarrays were used to analyze miRNA expression, whereas NanoString nCounter technology was used for validation of the identified targets. RESULTS Overall, 7 unruptured cerebral aneurysm and 10 STA specimens were collected. Several differentially expressed genes were identified in aneurysm tissue, with MMP-13 (fold change 7.21) and various collagen genes (COL1A1, COL5A1, COL5A2) being among the most upregulated. In addition, multiple miRNAs were significantly differentially expressed, with miR-21 (fold change 16.97) being the most upregulated, and miR-143-5p (fold change -11.14) being the most downregulated. From these, miR-21, miR-143, and miR-145 had several significantly anticorrelated target genes in the cohort that are associated with smooth muscle cell function, extracellular matrix remodeling, inflammation signaling, and lipid accumulation. All these processes are crucial to the pathophysiology of cerebral aneurysms. CONCLUSIONS This analysis identified differentially expressed genes and miRNAs in unruptured human cerebral aneurysms, suggesting the possibility of a role for miRNAs in aneurysm formation. Further investigation for their importance as therapeutic targets is needed.

Indexed as

Gene ExpressionAdolescentAdultCase-Control StudiesFemaleHumansIntracranial AneurysmMaleMicroRNAsMiddle AgedProspective StudiesYoung AdultMicroRNAsAAA = abdominal aortic aneurysmcerebral aneurysmsdeep sequencingECM = extracellular matrixFDR = false discovery rategene expressionGO = Gene OntologymicroRNA expressionmiRNA = microRNAmolecular mechanisms of diseasePCR = polymerase chain reactionPCT = probability of conserved targetSTA = superficial temporal arteryvascular disordersVSMC = vascular smooth muscle cell

Identifiers

PMID26918470
PMCPMC5001931
OpenAlexW2279754794

What OpenQuestion holds

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Registered trials

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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.