Evidence map›Paper›PMID 28178938›Full record

ArticleBMC genomics2017

Messenger RNA and MicroRNA transcriptomic signatures of cardiometabolic risk factors.

David D McManus, Jian Rong, Tianxiao Huan, Sean Lacey, Kahraman Tanriverdi, Peter J Munson, Martin G Larson, Roby Joehanes, Venkatesh Murthy, Ravi Shah and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 19% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  14. Personalizing treatments for patients based on cardiovascular phenotyping.Expert review of precision medicine and drug development · 2022
    Article
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  20. miRNA Mechanisms Underlying the Association of Beta Blocker Use and Bone Mineral Density.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2021
    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

12 authors at 9 institutions in 1 country.

David D McManusCardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA. mcmanusd@ummhc.org.
Jian RongNational Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA.
Tianxiao HuanNational Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA.
Sean LaceyNational Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA.
Kahraman TanriverdiCardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Peter J MunsonMathematical and Statistical Computing Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, MD, USA.
Martin G LarsonNational Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA.
Roby JoehanesPopulation Sciences Branch and Division of Intramural Research, National Heart, Lung, and Blood Institute of the National Institutes of Health, Bethesda, MA, USA.
Venkatesh MurthyDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Ravi ShahCardiology Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Jane E FreedmanCardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Daniel LevyNational Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA.
Framingham Heart Study · USNational Heart Lung and Blood Institute · USUniversity of Massachusetts Chan Medical School · USBeth Israel Deaconess Medical Center · USBoston University · USCenter for Information Technology · USHarvard University · USMichigan Medicine · USNational Institutes of Health · US

Funding

Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)R01HL126911 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., SACZYNSKI, JANE STEELE · 2016 to 2019
$3.2M
University of Massachusetts Center for Clinical and Translational ScienceKL2RR031981 · NCRR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SULLIVAN, JOHN LEWIS · 2010 to 2011
$1.2M
Extracellular RNAs: Biomarkers for Cardiovascular Risk and DiseaseUH2TR000921 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FREEDMAN, JANE E · 2013 to 2014
$1.0M
Myocardial tissue architecture in heart failure: implications on physiology and fitnessK23HL127099 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SHAH, RAVI · 2016 to 2019
$668k
Arrhythmia Detection Using a Smart PhoneR15HL121761 · NHLBI · WORCESTER POLYTECHNIC INSTITUTE · PI CHONG, JO WOON · 2014 to 2014
$389k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
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NCATS NIH HHS UH2 TR000921NCATS NIH HHS UL1 TR001453NCRR NIH HHS KL2 RR031981NHLBI NIH HHS K23 HL127099NHLBI NIH HHS N01 HC025195NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R15 HL121761
6 · The paper itself

Abstract

backgroundCardiometabolic (CM) risk factors are heritable and cluster in individuals. We hypothesized that CM risk factors are associated with multiple shared and unique mRNA and microRNA (miRNA) signatures. We examined associations of mRNA and miRNA levels with 6 CM traits: body mass index, HDL-cholesterol and triglycerides, fasting glucose, and systolic and diastolic blood pressures through cross-sectional analysis of 2812 Framingham Heart Study who had whole blood collection for RNA isolation for mRNA and miRNA expression studies and who consented to genetic research. We excluded participants taking medication for hypertension, dyslipidemia, or diabetes. We measured mRNA (n = 17,318; using the Affymetrix GeneChip Human Exon 1.0 ST Array) and miRNA (n = 315; using qRT-PCR) expression in whole blood. We used linear regression for mRNA analyses and a combination of linear and logistic regression for miRNA analyses. We conducted miRNA-mRNA coexpression and gene ontology enrichment analyses to explore relations between pleiotropic miRNAs, mRNA expression, and CM trait clustering.

resultsWe identified hundreds of significant associations between mRNAs, miRNAs, and individual CM traits. Four mRNAs (FAM13A, CSF2RB, HIST1H2AC, WNK1) were associated with all 6 CM traits (FDR < 0.001) and four miRNAs (miR-197-3p, miR-328, miR-505-5p, miR-145-5p) were associated with four CM traits (FDR < 0.05). Twelve mRNAs, including WNK1, that were coexpressed with the four most pleiotropic miRNAs, were also miRNA targets. mRNAs coexpressed with pleiotropic miRNAs were enriched for RNA metabolism (miR-505-5p), ubiquitin-dependent protein catabolism (miR-197-3p, miR-328) and chromatin assembly (miR-328).

conclusionsWe identified mRNA and miRNA signatures of individual CM traits and their clustering. Implicated transcripts may play causal roles in CM risk or be downstream consequences of CM risk factors on the transcriptome. Studies are needed to establish whether or not pleiotropic circulating transcripts illuminate causal pathways for CM risk.

Indexed as

TranscriptomeAdultAgedCardiovascular DiseasesCohort StudiesDatabases, GeneticFemaleGene Expression ProfilingHumansLogistic ModelsMaleMicroRNAsMiddle AgedPhenotypeProspective StudiesRisk FactorsMicroRNAsRNA, MessengerCardiovascular disease risk factorsEpidemiology, CirculationmicroRNAmRNA

Identifiers

PMID28178938
PMCPMC5299677
OpenAlexW2587686671

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.