Transcription Factor MAFF (MAF Basic Leucine Zipper Transcription Factor F) Regulates an Atherosclerosis Relevant Network Connecting Inflammation and Cholesterol Metabolism
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Transcription Factor MAFF (MAF Basic Leucine Zipper Transcription Factor F) Regulates an Atherosclerosis Relevant Network Connecting Inflammation and Cholesterol Metabolism. / von Scheidt, Moritz; Zhao, Yuqi; de Aguiar Vallim, Thomas Q; Che, Nam; Wierer, Michael; Seldin, Marcus M; Franzén, Oscar; Kurt, Zeyneb; Pang, Shichao; Bongiovanni, Dario; Yamamoto, Masayuki; Edwards, Peter A; Ruusalepp, Arno; Kovacic, Jason C; Mann, Matthias; Björkegren, Johan L M; Lusis, Aldons J; Yang, Xia; Schunkert, Heribert.
In: Circulation, Vol. 143, No. 18, 2021, p. 1809-1823.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Transcription Factor MAFF (MAF Basic Leucine Zipper Transcription Factor F) Regulates an Atherosclerosis Relevant Network Connecting Inflammation and Cholesterol Metabolism
AU - von Scheidt, Moritz
AU - Zhao, Yuqi
AU - de Aguiar Vallim, Thomas Q
AU - Che, Nam
AU - Wierer, Michael
AU - Seldin, Marcus M
AU - Franzén, Oscar
AU - Kurt, Zeyneb
AU - Pang, Shichao
AU - Bongiovanni, Dario
AU - Yamamoto, Masayuki
AU - Edwards, Peter A
AU - Ruusalepp, Arno
AU - Kovacic, Jason C
AU - Mann, Matthias
AU - Björkegren, Johan L M
AU - Lusis, Aldons J
AU - Yang, Xia
AU - Schunkert, Heribert
PY - 2021
Y1 - 2021
N2 - Background: Coronary 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 characterise central regulators and networks leading to atherosclerosis. Methods: Based on several hundred genes known to affect atherosclerosis risk in mouse (as demonstrated in knock-out models) and human (as shown by genome-wide association studies (GWAS)) 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 (ChIP-Seq), ChIP mass spectrometry (ChIP-MS), overexpression, siRNA 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. Results: The transcription factor MAFF interacted as a key driver of a liver network with three human genes at CAD GWAS loci and eleven 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) and a hybrid mouse diversity panel involving 105 different inbred mouse strains. Molecular mechanisms of MAFF were tested under non-inflammatory conditions showing a positive correlation between MAFF and LDLRin vitro and in vivo. Interestingly, after LPS stimulation (inflammatory conditions) an inverse correlation between MAFF and LDLRin vitro and in vivo was observed. ChIP-MS revealed that the human CAD GWAS candidate BACH1 assists MAFF in the presence of LPS stimulation with respective heterodimers binding at the MAF recognition element (MARE) of the LDLR promoter to transcriptionally downregulate LDLR expression. Conclusions: The transcription factor MAFF was identified as a novel central regulator of an atherosclerosis/CAD relevant liver network. MAFF triggered context specific expression of LDLR and other genes known to affect CAD risk. Our results suggest that MAFF is a missing link between inflammation, lipid and lipoprotein metabolism and a possible treatment target.
AB - Background: Coronary 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 characterise central regulators and networks leading to atherosclerosis. Methods: Based on several hundred genes known to affect atherosclerosis risk in mouse (as demonstrated in knock-out models) and human (as shown by genome-wide association studies (GWAS)) 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 (ChIP-Seq), ChIP mass spectrometry (ChIP-MS), overexpression, siRNA 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. Results: The transcription factor MAFF interacted as a key driver of a liver network with three human genes at CAD GWAS loci and eleven 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) and a hybrid mouse diversity panel involving 105 different inbred mouse strains. Molecular mechanisms of MAFF were tested under non-inflammatory conditions showing a positive correlation between MAFF and LDLRin vitro and in vivo. Interestingly, after LPS stimulation (inflammatory conditions) an inverse correlation between MAFF and LDLRin vitro and in vivo was observed. ChIP-MS revealed that the human CAD GWAS candidate BACH1 assists MAFF in the presence of LPS stimulation with respective heterodimers binding at the MAF recognition element (MARE) of the LDLR promoter to transcriptionally downregulate LDLR expression. Conclusions: The transcription factor MAFF was identified as a novel central regulator of an atherosclerosis/CAD relevant liver network. MAFF triggered context specific expression of LDLR and other genes known to affect CAD risk. Our results suggest that MAFF is a missing link between inflammation, lipid and lipoprotein metabolism and a possible treatment target.
U2 - 10.1161/CIRCULATIONAHA.120.050186
DO - 10.1161/CIRCULATIONAHA.120.050186
M3 - Journal article
C2 - 33626882
VL - 143
SP - 1809
EP - 1823
JO - Circulation
JF - Circulation
SN - 0009-7322
IS - 18
ER -
ID: 259828061