Evidence map›Paper›PMID 28916633›Full record

ArticlePhysiological genomics2017

Systems genetics identifies a co-regulated module of liver microRNAs associated with plasma LDL cholesterol in murine diet-induced dyslipidemia.

Alisha R Coffey, Tangi L Smallwood, Jody Albright, Kunjie Hua, Matt Kanke, Daniel Pomp, Brian J Bennett, Praveen Sethupathy

Open access · greenAbstract read
In one paragraph

Article in Physiological genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

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  12. Quantitative trait mapping in Diversity Outbred mice identifies two genomic regions associated with heart size.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
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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

8 authors at 3 institutions in 1 country.

Alisha R CoffeyCurriculum in Genetics and Molecular Biology, University of North Carolina Chapel Hill, Chapel Hill, North Carolina.ORCID http://orcid.org/0000-0003-1792-7999
Tangi L SmallwoodDepartment of Genetics, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, North Carolina.
Jody AlbrightUS Department of Agriculture, ARS Western Human Nutrition Research Center, University of California, Davis, Davis, California; and.
Kunjie HuaDepartment of Genetics, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, North Carolina.
Matt KankeDepartment of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York.
Daniel PompDepartment of Genetics, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, North Carolina.
Brian J BennettCurriculum in Genetics and Molecular Biology, University of North Carolina Chapel Hill, Chapel Hill, North Carolina.
Praveen SethupathyDepartment of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York pr46@cornell.edu.
University of North Carolina at Chapel Hill · USCornell University · USWestern Human Nutrition Research Center · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
Systems Genetic Studies of TMAO regulation and AtherosclerosisR01HL128572 · NHLBI · U.S. AGRICULTURAL RESEARCH SERVICE · PI BENNETT, BRIAN JOSEPH · 2015 to 2019
$1.4M
NHLBI NIH HHS R01 HL128572NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

Chronically altered levels of circulating lipids, termed dyslipidemia, is a significant risk factor for a number of metabolic and cardiovascular morbidities. MicroRNAs (miRNAs) have emerged as important regulators of lipid balance, have been implicated in dyslipidemia, and have been proposed as candidate therapeutic targets in lipid-related disorders including atherosclerosis. A major limitation of most murine studies of miRNAs in lipid metabolic disorders is that they have been performed in just one (or very few) inbred strains, such as C57BL/6. Moreover, although individual miRNAs have been associated with lipid phenotypes, it is well understood that miRNAs likely work together in functional modules. To address these limitations, we implemented a systems genetics strategy using the Diversity Outbred (DO) mouse population. Specifically, we performed gene and miRNA expression profiling in the livers from ~300 genetically distinct DO mice after 18 wk on either a high-fat/high-cholesterol diet or a high-protein diet. Large-scale correlative analysis of these data with a wide range of cardio-metabolic end points revealed a co-regulated module of miRNAs significantly associated with circulating low-density lipoprotein cholesterol (LDL-C) levels. The hubs of this module were identified as miR-199a, miR-181b, miR-27a, miR-21_-_1, and miR-24. In sum, we demonstrate that a high-fat/high-cholesterol diet robustly rewires the miRNA regulatory network, and we identify a small group of co-regulated miRNAs that may exert coordinated effects to control circulating LDL-C.

Indexed as

Gene Regulatory NetworksAnimalsCholesterol, LDLDiet, High-FatDyslipidemiasLiverMiceMicroRNAsObesityPhenotypeCholesterol, LDLMicroRNAsco-regulated modulesdiversity outbred micedyslipidemiaLDL-CmicroRNAs

Identifiers

PMID28916633
PMCPMC5792136
OpenAlexW2754369369

What OpenQuestion holds

Textmetadata
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.