ArticlePhysiological genomics2017
Systems genetics identifies a co-regulated module of liver microRNAs associated with plasma LDL cholesterol in murine diet-induced dyslipidemia.
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.
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Who cites it
13 citing papers in PubMed, 16 citations in OpenAlex.
- Primary-Level Meta-Analysis of Diversity Outbred Mice Identifies a Fasting Plasma Trimethylamine N-Oxide (TMAO) Locus Modified by Sex and Diet.bioRxiv : the preprint server for biology · 2026Article
- Specific circulating miRNAs are associated with plasma lipids in a healthy American cohort.Physiological genomics · 2024Article
- Article
- Altered macronutrient composition and genetics influence the complex transcriptional network associated with adiposity in the Collaborative Cross.Genes & nutrition · 2022Article
- Genetic architecture modulates diet-induced hepatic mRNA and miRNA expression profiles in Diversity Outbred mice.Genetics · 2021Article
- Hepatic transcriptional profile reveals the role of diet and genetic backgrounds on metabolic traits in female progenitor strains of the Collaborative Cross.Physiological genomics · 2021Article
- MyoData: An expression knowledgebase at single cell/nucleus level for the discovery of coding-noncoding RNA functional interactions in skeletal muscle.Computational and structural biotechnology journal · 2021Article
- Genetic Architecture Modulates Diet-Induced Hepatic mRNA and miRNA Expression Profiles in Diversity Outbred Mice.Genetics · 2020Article
- High-fat diet negatively impacts both metabolic and behavioral health in outbred heterogeneous stock rats.Physiological genomics · 2020Article
- microRNA-146a-5p association with the cardiometabolic disease risk factor TMAO.Physiological genomics · 2019Article
- Association between MEG3/miR-181b polymorphisms and risk of ischemic stroke.Lipids in health and disease · 2018Article
- 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 · 2018Article
- Adropin: An endocrine link between the biological clock and cholesterol homeostasis.Molecular metabolism · 2018Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
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.
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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.