Evidence map›Paper›PMID 33626882›Full record

ArticleCirculation2021

Transcription Factor MAFF (MAF Basic Leucine Zipper Transcription Factor F) Regulates an Atherosclerosis Relevant Network Connecting Inflammation and Cholesterol Metabolism.

Moritz von Scheidt, Yuqi Zhao, Thomas Q de Aguiar Vallim, Nam Che, Michael Wierer, Marcus M Seldin, Oscar Franzén, Zeyneb Kurt, Shichao Pang, Dario Bongiovanni and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Circulation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

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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

19 authors at 13 institutions in 7 countries.

Moritz von Scheidt *Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany (M.v.S., S.P., H.S.).
Yuqi Zhao *
Thomas Q de Aguiar VallimDepartments of Medicine (T.Q.d.A.V., N.C., P.A.E., A.J.L.), David Geffen School of Medicine, University of California, Los Angeles.
Nam CheDepartments of Medicine (T.Q.d.A.V., N.C., P.A.E., A.J.L.), David Geffen School of Medicine, University of California, Los Angeles.
Michael WiererDepartment of Proteomics and Signal Transduction, Max-Planck Institute of Biochemistry, Martinsried, Germany (M.W., M.M.).
Marcus M SeldinDepartment of Biological Chemistry and Center for Epigenetics and Metabolism, University of California, Irvine (M.M.S.).
Oscar FranzénIntegrated Cardio Metabolic Centre, Karolinska Institutet, Novum, Huddinge, Sweden (O.F., J.L.M.B.).
Zeyneb KurtDepartment of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom (Z.K.).
Shichao PangDepartment of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany (M.v.S., S.P., H.S.).
Dario BongiovanniDeutsches Zentrum für Herz- und Kreislauferkrankungen, Partner Site Munich Heart Alliance, Germany (M.v.S., D.B., H.S.).
Masayuki YamamotoDepartment of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan (M.Y.).
Peter A EdwardsDepartments of Medicine (T.Q.d.A.V., N.C., P.A.E., A.J.L.), David Geffen School of Medicine, University of California, Los Angeles.
Arno RuusaleppDepartment of Cardiac Surgery, Tartu University Hospital, Estonia (A.R.).
Jason C KovacicCardiovascular Research Center, Icahn School of Medicine at Mount Sinai, New York (J.C.K., J.L.M.B.).
Matthias MannDepartment of Proteomics and Signal Transduction, Max-Planck Institute of Biochemistry, Martinsried, Germany (M.W., M.M.).
Johan L M BjörkegrenIntegrated Cardio Metabolic Centre, Karolinska Institutet, Novum, Huddinge, Sweden (O.F., J.L.M.B.).
Aldons J LusisDepartments of Medicine (T.Q.d.A.V., N.C., P.A.E., A.J.L.), David Geffen School of Medicine, University of California, Los Angeles.
Xia YangDepartment of Integrative Biology and Physiology, Institute for Quantitative and Computational Biosciences (Y.Z., X.Y.), David Geffen School of Medicine, University of California, Los Angeles.
Heribert SchunkertDepartment of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany (M.v.S., S.P., H.S.).
University of California, Los Angeles · USGerman Centre for Cardiovascular Research · DEIntegrated Cardio Metabolic Centre · SEMax Planck Institute of Biochemistry · DEDeutsches Herzzentrum München · DEIcahn School of Medicine at Mount Sinai · USNorthumbria University · GBQB3 · USTartu University Hospital · EETohoku Medical Megabank Organization · JPTUM Klinikum · DEUniversity of California, Irvine · USZhaotong University · CN

Funding

ULTRASTRUCTURE OF THE INTIMA IN EARLY LESION FORMATIONP01HL030568 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FOGELMAN, ALAN M · 1985 to 2019
$55.2M
Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE · 1985 to 2019
$50.2M
Higher Order Chromatin and Genetic Risk for Alzheimer's DiseaseR01AG050986 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2015 to 2025
$11.2M
Molecular studies of Noonan syndrome and related disordersR01HL071207 · NHLBI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GELB, BRUCE D · 2002 to 2016
$5.9M
Systems Genetics Dissection of Non-alcoholic SteatohepatitisR01DK117850 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Aldons Jake Lusis · 2019 to 2026
$4.6M
Therapeutic Mechanisms of Cardiac Progenitors in Ischemic CardiomyopathyR01HL135093 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FISH, KENNETH MICHAEL, KOVACIC, JASON CIRIL · 2017 to 2020
$3.4M
Toward Diagnostics and Therapies of Molecular Subcategories of CADR01HL125863 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BJORKEGREN, JOHAN M · 2015 to 2018
$3.2M
Systems genetics approach to inflammatory mechanisms in atherosclerosisR01HL147883 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE · 2019 to 2022
$3.0M
Gut microbiota and metabolite interactions in atherosclerosisR01HL144651 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE, REY, FEDERICO E · 2019 to 2022
$2.6M
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic SyndromeR01DK104363 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YANG, XIA · 2015 to 2019
$2.4M
Toward Therapeutic Manipulation of Endothelial to Mesenchymal TransitionR01HL130423 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ISHIKAWA, KIYOTAKE, KOVACIC, JASON CIRIL · 2016 to 2020
$2.1M
Novel transcriptional regulators of bile acid metabolism and hepatotoxicityR01DK102559 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EDWARDS, PETER A · 2014 to 2017
$1.3M
NHLBI NIH HHS K08 HL111330NHLBI NIH HHS P01 HL028481NHLBI NIH HHS P01 HL030568NHLBI NIH HHS R00 HL138193NHLBI NIH HHS R01 HL071207NHLBI NIH HHS R01 HL125863NHLBI NIH HHS R01 HL135093NHLBI NIH HHS R01 HL144651NHLBI NIH HHS R01 HL147883NIA NIH HHS R01 AG050986NIDDK NIH HHS R01 DK102559NIDDK NIH HHS R01 DK104363NIDDK NIH HHS R01 DK117850
6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) is a multifactorial condition with both genetic and exogenous causes. The contribution of tissue-specific functional networks to the development of atherosclerosis remains largely unclear. The aim of this study was to identify and characterize central regulators and networks leading to atherosclerosis.

methodsBased on several hundred genes known to affect atherosclerosis risk in mouse (as demonstrated in knockout models) and human (as shown by genome-wide association studies), liver gene regulatory networks were modeled. The hierarchical order and regulatory directions of genes within the network were based on Bayesian prediction models, as well as experimental studies including chromatin immunoprecipitation DNA-sequencing, chromatin immunoprecipitation mass spectrometry, overexpression, small interfering RNA knockdown in mouse and human liver cells, and knockout mouse experiments. Bioinformatics and correlation analyses were used to clarify associations between central genes and CAD phenotypes in both human and mouse.

resultsThe transcription factor MAFF (MAF basic leucine zipper transcription factor F) interacted as a key driver of a liver network with 3 human genes at CAD genome-wide association studies loci and 11 atherosclerotic murine genes. Most importantly, expression levels of the low-density lipoprotein receptor (LDLR) gene correlated with MAFF in 600 CAD patients undergoing bypass surgery (STARNET [Stockholm-Tartu Atherosclerosis Reverse Network Engineering Task]) and a hybrid mouse diversity panel involving 105 different inbred mouse strains. Molecular mechanisms of MAFF were tested in noninflammatory conditions and showed positive correlation between MAFF and LDLR in vitro and in vivo. Interestingly, after lipopolysaccharide stimulation (inflammatory conditions), an inverse correlation between MAFF and LDLR in vitro and in vivo was observed. Chromatin immunoprecipitation mass spectrometry revealed that the human CAD genome-wide association studies candidate BACH1 (BTB domain and CNC homolog 1) assists MAFF in the presence of lipopolysaccharide stimulation with respective heterodimers binding at the MAF recognition element of the LDLR promoter to transcriptionally downregulate LDLR expression.

conclusionsThe transcription factor

Indexed as

AnimalsAtherosclerosisCholesterolDisease Models, AnimalDNA-Binding ProteinsHumansInflammationMafF Transcription FactorMaleMiceMice, KnockoutNuclear ProteinsCholesterolDNA-Binding ProteinsMAFF protein, humanMaff protein, mouseMafF Transcription FactorNuclear Proteinsatherosclerosischromatin immunoprecipitationcoronary artery diseaseinflammationlipopolysaccharidesmafF transcription factorreceptors, LDL

Identifiers

PMID33626882
PMCPMC8124091
OpenAlexW3129970690

What OpenQuestion holds

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Registered trials

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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.