Fluoxetine disrupts cholesterol metabolism in endothelial cells via SREBP2 activation
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE304246 | GEO | 2026/07/01
REPOSITORIES: GEO
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Project description:Cholesterol homeostasis plays a central role in disease pathogenesis in chronic disorders such as cardiovascular and kidney diseases. The transcription factor SREBP2 is the main regulator of cholesterol metabolism and is central to the mechanism of action of lipid lowering drugs, such as statins, that are responsible for the largest overall reduction in cardiovascular risk and mortality in humans with atherosclerotic cardiovascular disease. Recently, SREBP2 has been implicated in both the innate and adaptive immune responses by upregulation of cholesterol flux or via direct transcriptional activation of pro-inflammatory genes in leukocytes. Here, we investigate the role of SREBP2 in endothelial cells (ECs), since ECs are at the interface of circulating lipids with tissues and are activated in response to damage and inflammation. The loss of SREBP2 in cultured human ECs results in significant alterations of the transcriptional response to inflammatory cytokines whereas SREBF2 knockdown inhibits the transcription and secretion of pro-inflammatory chemokines but amplifies type I interferon response genes. Furthermore, we show that SREBP2 regulates chemokine expression not through enhancement of endogenous cholesterol synthesis or lipoprotein uptake, but partially through direct transcriptional activation. Chromatin immunoprecipitation sequencing (ChIP-seq) of endogenous SREBP2 reveals the SREBP2 bound to the promoter regions of classical response genes as well as two non-classical sterol responsive genes involved in immune modulation, BHLHE40 and KLF6. Overexpression of SREBP2 upregulated both BHLHE40 and KLF6 transcripts independent of inflammatory stress and the transcription of these genes were found to be sensitive to cellular cholesterol levels. Of these two targets, we found that KLF6 was responsible for the amplification of chemokine expression highlighting a tight relationship between cholesterol homeostasis and inflammatory phenotypes in ECs.
2023-08-21 | GSE223094 | GEO
Project description:McAuley2012 - Whole-body Cholesterol Metabolism
Lipid metabolism has a key role to play in human longevity and healthy aging. A whole-body mathematical model of cholesterol metabolism that explores the changes in both the rate of intestinal cholesterol absorption and the hepatic rate of clearance of LDL-C from the plasma, has been presented here. The model showed that of these two mechanisms, changes to the rate of LDL-C removal from the plasma with age had the most significant effect on cholesterol metabolism.
The original SBML model file was generated using MathSBML 2.5.1.
This model is described in the article:
A whole-body mathematical model of cholesterol metabolism and its age-associated dysregulation.
Mc Auley MM, Wilkinson DJ, Jones JJ, Kirkwood TT.
BMC Syst Biol. 2012 Oct 10;6(1):130.
Abstract:
BACKGROUND: Global demographic changes have stimulated marked interest in the process of ageing. There has been, and will continue to be, an unrelenting rise in the number of the oldest old ( >85 years of age). Together with an ageing population there comes an increase in the prevalence of age related disease. Of the diseases of ageing, cardiovascular disease (CVD) has by far the highest prevalence. It is regarded that a finely tuned lipid profile may help to prevent CVD as there is a long established relationship between alterations to lipid metabolism and CVD risk. In fact elevated plasma cholesterol, particularly Low Density Lipoprotein Cholesterol (LDL-C) has consistently stood out as a risk factor for having a cardiovascular event. Moreover it is widely acknowledged that LDL-C may rise with age in both sexes in a wide variety of groups. The aim of this work was to use a whole-body mathematical model to investigate why LDL-C rises with age, and to test the hypothesis that mechanistic changes to cholesterol absorption and LDL-C removal from the plasma are responsible for the rise. The whole-body mechanistic nature of the model differs from previous models of cholesterol metabolism which have either focused on intracellular cholesterol homeostasis or have concentrated on an isolated area of lipoprotein dynamics. The model integrates both current and previously published data relating to molecular biology, physiology, ageing and nutrition in an integrated fashion.
RESULTS: The model was used to test the hypothesis that alterations to the rate of cholesterol absorption and changes to the rate of removal of LDL-C from the plasma are integral to understanding why LDL-C rises with age. The model demonstrates that increasing the rate of intestinal cholesterol absorption from 50% to 80% by age 65 years can result in an increase of LDL-C by as much as 34mg/dL in a hypothetical male subject. The model also shows that decreasing the rate of hepatic clearance of LDL-C gradually to 50% by age 65 years can result in an increase of LDL-C by as much as 116mg/dL.
CONCLUSIONS: Our model clearly demonstrates that of the two putative mechanisms that have been implicated in the dysregulation of cholesterol metabolism with age, alterations to the removal rate of plasma LDL-C has the most significant impact on cholesterol metabolism and small changes to the number of hepatic LDL receptors can result in a significant rise in LDL-C. This first whole-body systems based model of cholesterol balance could potentially be used as a tool to further improve our understanding of whole-body cholesterol metabolism and its dysregulation with age. Furthermore, given further fine tuning the model may help to investigate potential dietary and lifestyle regimes that have the potential to mitigate the effects aging has on cholesterol metabolism.
This model is hosted on BioModels Database
and identified by: MODEL1206010000
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication
for more information.
2024-09-02 | BIOMD0000000434 | BioModels
Project description:To more concretely elucidate the long-term effects of chronic SSRI exposure during adulthood, the long-term consequences of chronic fluoxetine (12 mg/kg) versus vehicle treatment during adulthood (postnatal day (PND) 67-88) on gene expression in the hippocampus were investigated. The study showed that adult chronic fluoxetine exposure causes on the long-term changes in the expression of genes related to, amongst others, myelination
2016-01-22 | GSE67203 | GEO
Project description:We constructed a comprehensive multi-omics map of the molecular effects of fluoxetine (an SSRI antidepressant), in 27 rat brain regions. We profiled gene expression (bulk RNA-seq, 210 datasets) and chromatin state (bulk chromatin immunoprecipitation sequencing (ChIP-seq) for the histone marker H3K27ac, 100 datasets) in a broad, unbiased panel of 27 brain regions across the entire rodent brain, in naive and fluoxetine-treated animals. We complemented this approach with single-cell RNA-seq (scRNA-seq) analysis of two brain regions. Using diverse integrative data analysis techniques we characterized the complex and multifaceted effects of fluoxetine on region-specific and cell-type-specific gene regulatory networks and pathways. Remarkably, we observed profound molecular changes across the brain (>4,000 differentially expressed genes and differentially acetylated ChIP-seq peaks each) that were highly region-dependent. We leveraged this atlas to identify fluoxetine-moduated genes and gene-regulatory loci, predict enriched motifs that suggest potential upstream regulators, and validate global mechanisms of fluoxetine action.
2022-09-04 | GSE193040 | GEO
Project description:Major depressive disorder (MDD) is the psychiatric disorder with the highest prevalence in the world. Pharmacological antidepressant treatment (AD), such as selective serotonin reuptake inhibitors [SSRI, i.e. fluoxetine (Flx)] is the first line of treatment for MDD. Despite its efficacy, lack of AD response occurs in numerous patients characterizing Difficult-to-treat Depression. ElectroConvulsive Therapy (ECT) is a highly effective treatment inducing rapid improvement in depressive symptoms and high remission rates of ~50–63% in patients with pharmaco-resistant depression. Nevertheless, the need to develop reliable treatment response predictors to guide personalized AD strategies and supplement clinical observation is becoming a pressing clinical objective. Here, we propose to establish a proteomic peripheral biomarkers signature of ECT response in an anxio/depressive animal model of non-response to AD. Using an emotionality score based on the analysis complementary behavioral tests of anxiety/depression (Elevated Plus Maze, Novelty Suppressed Feeding, Splash Test), we showed that a 4-week corticosterone treatment (35 μg/ml, Cort model) in C57BL/6JRj male mice induced an anxiety/depressive-like behavior. A 28-days chronic fluoxetine treatment (Flx, 18 mg/kg/day) reduced corticosterone-induced increase in emotional behavior. A 50% decrease in emotionality score threshold before and after Flx, was used to separate Flx-responding mice (Flx-R, n=18), or Flx non-responder mice (Flx-NR, n=7). Then, Flx-NR mice received 7 sessions of electroconvulsive seizure (ECS, equivalent to ECT in humans) and blood was collected before and after ECS treatment. Chronic ECS normalized the elevated emotionality observed in Flx-NR mice. Then, proteins were extracted from peripheral blood mononuclear cells (PBMCs) and isolated for proteomic analysis using a high-resolution MS Orbitrap. The proteomic analysis revealed a signature of 33 peripheral proteins associated with response to ECS (7 down- and 26 upregulated). These proteins were previously associated with mental disorders and involved in regulating pathways which participate to the depressive disorder etiology. remark for sample name : ECTR=Flx-NR-ES, C=cort/Veh, CFNR= Flx-NR
2022-11-01 | PXD037392 | Pride
Project description:Morgan2016 - Dynamics of cholesterol
metabolism and ageing
This model is described in the article:
Mathematically modelling the
dynamics of cholesterol metabolism and ageing.
Morgan AE, Mooney KM, Wilkinson SJ,
Pickles NA, Mc Auley MT.
BioSystems 2016 Jul; 145: 19-32
Abstract:
Cardiovascular disease (CVD) is the leading cause of
morbidity and mortality in the UK. This condition becomes
increasingly prevalent during ageing; 34.1% and 29.8% of males
and females respectively, over 75 years of age have an
underlying cardiovascular problem. The dysregulation of
cholesterol metabolism is inextricably correlated with
cardiovascular health and for this reason low density
lipoprotein cholesterol (LDL-C) and high density lipoprotein
cholesterol (HDL-C) are routinely used as biomarkers of CVD
risk. The aim of this work was to use mathematical modelling to
explore how cholesterol metabolism is affected by the ageing
process. To do this we updated a previously published
whole-body mathematical model of cholesterol metabolism to
include an additional 96 mechanisms that are fundamental to
this biological system. Additional mechanisms were added to
cholesterol absorption, cholesterol synthesis, reverse
cholesterol transport (RCT), bile acid synthesis, and their
enterohepatic circulation. The sensitivity of the model was
explored by the use of both local and global parameter scans.
In addition, acute cholesterol feeding was used to explore the
effectiveness of the regulatory mechanisms which are
responsible for maintaining whole-body cholesterol balance. It
was found that our model behaves as a hypo-responder to
cholesterol feeding, while both the hepatic and intestinal
pools of cholesterol increased significantly. The model was
also used to explore the effects of ageing in tandem with three
different cholesterol ester transfer protein (CETP) genotypes.
Ageing in the presence of an atheroprotective CETP genotype,
conferring low CETP activity, resulted in a 0.6% increase in
LDL-C. In comparison, ageing with a genotype reflective of high
CETP activity, resulted in a 1.6% increase in LDL-C. Thus, the
model has illustrated the importance of CETP genotypes such as
I405V, and their potential role in healthy ageing.
This model is hosted on
BioModels Database
and identified by:
MODEL1508170000.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2017-06-01 | MODEL1508170000 | BioModels
Project description:We constructed a comprehensive multi-omics map of the molecular effects of fluoxetine (an SSRI antidepressant), in 27 rat brain regions. We profiled gene expression (bulk RNA-seq, 210 datasets) and chromatin state (bulk chromatin immunoprecipitation sequencing (ChIP-seq) for the histone marker H3K27ac, 100 datasets) in a broad, unbiased panel of 27 brain regions across the entire rodent brain, in naive and fluoxetine-treated animals. We complemented this approach with single-cell RNA-seq (scRNA-seq) analysis of two brain regions. Using diverse integrative data analysis techniques we characterized the complex and multifaceted effects of fluoxetine on region-specific and cell-type-specific gene regulatory networks and pathways. Remarkably, we observed profound molecular changes across the brain (>4,000 differentially expressed genes and differentially acetylated ChIP-seq peaks each) that were highly region-dependent. We leveraged this atlas to identify fluoxetine-moduated genes and gene-regulatory loci, predict enriched motifs that suggest potential upstream regulators, and validate global mechanisms of fluoxetine action.
2022-09-04 | GSE194289 | GEO
Project description:We constructed a comprehensive multi-omics map of the molecular effects of fluoxetine (an SSRI antidepressant) in 27 rat brain regions. We profiled gene expression (bulk RNA-seq, 210 datasets) and chromatin state (bulk chromatin immunoprecipitation sequencing (ChIP-seq) for the histone marker H3K27ac, 100 datasets) in a broad, unbiased panel of 27 brain regions across the entire rodent brain, in naive and fluoxetine-treated animals. We complemented this approach with single-cell RNA-seq (scRNA-seq) analysis of two brain regions (20 datasets). Remarkably, in the single-cell RNA-seq profiling we observed profound changes in the transcripts of hippocampal dorDG and venDG (~500 DEGs in specific cell types). Using diverse integrative data analysis techniques we characterized the complex and multifaceted effects of fluoxetine on region-specific and cell-type-specific gene regulatory networks and pathways. We leveraged this atlas to identify fluoxetine-modulated genes and gene-regulatory loci, predict enriched motifs that suggest potential upstream regulators, and validate global mechanisms of fluoxetine action.
2022-09-04 | GSE197622 | GEO
Project description:The disruption of cholesterol homeostasis leads to an increase in cholesterol levels which results in the development of cardiovascular disease. Mitogen Inducible Gene 6 (Mig-6) is an immediate early response gene that can be induced by various mitogens, stresses, and hormones. To identify the metabolic role of Mig-6 in the liver, we conditionally ablated Mig-6 in the liver using the Albumin-Cre mouse model (Albcre/+Mig-6f/f; Mig-6d/d). Mig-6d/d mice exhibit hepatomegaly and fatty liver. Serum levels of total, LDL, and HDL cholesterol and hepatic lipid were significantly increased in the Mig-6d/d mice. The daily excretion of fecal bile acids was significantly decreased in the Mig-6d/d mice. DNA microarray analysis of mRNA isolated from the livers of these mice showed alterations in genes that regulate lipid metabolism, bile acid, and cholesterol synthesis, while the expression of genes that regulate biliary excretion of bile acid and triglyceride synthesis showed no difference in the Mig-6d/d mice compared to Mig-6f/f controls. These results indicate that Mig-6 plays an important role in cholesterol homeostasis and bile acid synthesis. Mice with liver specific conditional ablation of Mig-6 develop hepatomegaly and increased intrahepatic lipid and provide a novel model system to investigate the genetic and molecular events involved in the regulation of cholesterol homeostasis and bile acid synthesis. Defining the molecular mechanisms by which Mig-6 regulates cholesterol homeostasis will provide new insights into the development of more effective ways for the treatment and prevention of cardiovascular disease. Eight week old Mig-6f/f vs Mig-6d/d male mice after undergoing a 24 hour fast
2011-08-30 | E-GEOD-31752 | biostudies-arrayexpress
Project description:We found that global heterozygous midnolin knockout attenuated the severity of nonalnonalcoholic fatty liver disease (NAFLD) in mice fed a Western-style diet, high in fat, cholesterol, and fructose. This attenuation in disease was associated with significantly reduced levels of large lipid droplets, hepatic free cholesterol, and serum LDL, with significantly differential gene expression involved in cholesterol/lipid metabolism.
2023-05-03 | GSE226810 | GEO