Evidence map›Paper›PMID 30336307›Full record

ArticleAtherosclerosis2018

Next generation MicroRNA sequencing to identify coronary artery disease patients at risk of recurrent myocardial infarction.

Sri H Kanuri, Joseph Ipe, Kameel Kassab, Hongyu Gao, Yunlong Liu, Todd C Skaar, Rolf P Kreutz

Open access · greenAbstract read
In one paragraph

Article in Atherosclerosis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 23% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. The miR-2110/Biochemistry and biophysics reports · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Frontiers in genetics · 2020
    Article
  17. Article
  18. Review
  19. Review
  20. Article
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

7 authors at 1 institution in 1 country.

Sri H KanuriDepartment of Clinical Pharmacology, Indiana University School of Medicine, United States.
Joseph IpeDepartment of Clinical Pharmacology, Indiana University School of Medicine, United States.
Kameel KassabKrannert Institute of Cardiology, Indiana University School of Medicine, United States.
Hongyu GaoCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, United States.
Yunlong LiuCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, United States; Center for Medical Genomics, Indiana University School of Medicine, United States.
Todd C SkaarDepartment of Clinical Pharmacology, Indiana University School of Medicine, United States.
Rolf P KreutzDepartment of Clinical Pharmacology, Indiana University School of Medicine, United States; Krannert Institute of Cardiology, Indiana University School of Medicine, United States. Electronic address: rkreutz@iu.edu.
Indiana University School of Medicine

Funding

Indiana University Comprehensive Training in Clinical PharmacologyT32GM008425 · NIGMS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI Zeruesenay Desta, Michael Thomas Eadon · 1992 to 2026
$7.7M
NIGMS NIH HHS T32 GM008425
6 · The paper itself

Abstract

BACKGROUND AND

aimsVariation in micro-RNA (miRNA) levels in blood has been associated with alterations of physiological functions of the cardiovascular system. Circulating miRNA have the potential to become reliable biomarkers for risk stratification and early detection of cardiovascular events. Recurrent thrombotic events in patients with established coronary artery disease (CAD) demonstrate the need for personalized approaches to secondary prevention, especially in light of recent novel treatment approaches.

methodsIn a single center cohort study, whole blood samples were collected from 437 subjects undergoing cardiac catheterization, who were followed for recurrent cardiovascular events during a mean follow up of 1.5 years. We selected a case cohort (n = 22) with recurrent thrombotic events on standard medical therapy (stent thrombosis (n = 6) or spontaneous myocardial infarction (MI) (n = 16)) and a matched cohort with CAD, but uneventful clinical follow up (n = 26), as well as a control group with cardiovascular risk factors, but without angiographic CAD (n = 24). We performed complete miRNA next generation sequencing of RNA extracted from whole blood samples (including leukocytes and platelets).

resultsA differential pattern of miRNA expression was found among controls, CAD patients with no events, and CAD patients with recurrent events. MiRNA previously associated with MI, CAD, endothelial function, vascular smooth muscle cells, platelets, angiogenesis, heart failure, cardiac hypertrophy, arrhythmia, and stroke were found variably expressed in our case-control cohorts. Seventy miRNA (FDR <0.05) were linked to the risk of recurrent myocardial infarction and future stent thrombosis, as compared to CAD patients with subsequently uneventful follow up.

conclusionsMiRNA next generation sequencing demonstrates altered fingerprint profile of whole blood miRNA expression among subjects with subsequent recurrent thrombotic events on standard medical therapy ('non-responders'), as compared to subjects with no recurrent cardiovascular events. MiRNA profiling may be useful to identify high risk subjects and provide additional insights into disease mechanisms not currently attenuated with standard medical therapy used in CAD treatment.

Indexed as

AgedBiomarkersCardiac CatheterizationCohort StudiesCoronary AngiographyCoronary Artery DiseaseDisease ProgressionEpigenesis, GeneticFemaleHigh-Throughput Nucleotide SequencingHumansMaleMicroRNAsMiddle AgedMyocardial InfarctionRecurrenceBiomarkersMicroRNAsCoronary artery diseasemicroRNAMyocardial infarctionStent thrombosis

Identifiers

PMID30336307
PMCPMC6350783
OpenAlexW2895019744

What OpenQuestion holds

Textmetadata
LicenceTDM
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.