Evidence map›Paper›PMID 33561811›Full record

ArticleJournal of lipid research2021

Gene networks and pathways for plasma lipid traits via multitissue multiomics systems analysis.

Montgomery Blencowe, In Sook Ahn, Zara Saleem, Helen Luk, Ingrid Cely, Ville-Petteri Mäkinen, Yuqi Zhao, Xia Yang

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  4. The thrombin receptor PAR4 supports visceral adipose tissue inflammation.Naunyn-Schmiedeberg's archives of pharmacology · 2024
    Article
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  6. Review
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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 1 institution in 2 countries.

Montgomery BlencoweDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA; Molecular, Cellular, and Integrative Physiology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA.
In Sook AhnDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA.
Zara SaleemDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA.
Helen LukDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA.
Ingrid CelyDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA.
Ville-Petteri MäkinenDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA; South Australian Health and Medical Research Institute, Adelaide, Australia.
Yuqi ZhaoDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA. Electronic address: zhaoyuqi616@gmail.com.
Xia YangDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA; Molecular, Cellular, and Integrative Physiology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA; Interdepartmental Program of Bioinformatics, University of California, Los Angeles, Los Angeles, CA, USA. Electronic address: xyang123@ucla.edu.
University of California, Los Angeles · US

Funding

Systems Genetics Dissection of Non-alcoholic SteatohepatitisR01DK117850 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Aldons Jake Lusis · 2019 to 2026
$4.6M
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic SyndromeR01DK104363 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YANG, XIA · 2015 to 2019
$2.4M
NIDDK NIH HHS R01 DK104363NIDDK NIH HHS R01 DK117850
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have implicated ∼380 genetic loci for plasma lipid regulation. However, these loci only explain 17-27% of the trait variance, and a comprehensive understanding of the molecular mechanisms has not been achieved. In this study, we utilized an integrative genomics approach leveraging diverse genomic data from human populations to investigate whether genetic variants associated with various plasma lipid traits, namely, total cholesterol, high and low density lipoprotein cholesterol (HDL and LDL), and triglycerides, from GWASs were concentrated on specific parts of tissue-specific gene regulatory networks. In addition to the expected lipid metabolism pathways, gene subnetworks involved in "interferon signaling," "autoimmune/immune activation," "visual transduction," and "protein catabolism" were significantly associated with all lipid traits. In addition, we detected trait-specific subnetworks, including cadherin-associated subnetworks for LDL; glutathione metabolism for HDL; valine, leucine, and isoleucine biosynthesis for total cholesterol; and insulin signaling and complement pathways for triglyceride. Finally, by using gene-gene relations revealed by tissue-specific gene regulatory networks, we detected both known (e.g., APOH, APOA4, and ABCA1) and novel (e.g., F2 in adipose tissue) key regulator genes in these lipid-associated subnetworks. Knockdown of the F2 gene (coagulation factor II, thrombin) in 3T3-L1 and C3H10T1/2 adipocytes altered gene expression of Abcb11, Apoa5, Apof, Fabp1, Lipc, and Cd36; reduced intracellular adipocyte lipid content; and increased extracellular lipid content, supporting a link between adipose thrombin and lipid regulation. Our results shed light on the complex mechanisms underlying lipid metabolism and highlight potential novel targets for lipid regulation and lipid-associated diseases.

Indexed as

Gene Regulatory NetworksGenome-Wide Association StudyAnimalsGenomicsHumansLipid MetabolismLipidsMiceSystems AnalysisLipidscoagulation factor IIGWASintegrative genomicslipid metabolismpathway and network analysis

Identifiers

PMID33561811
PMCPMC7873371
OpenAlexW3113558414

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.