Chronic inflammatory arthritis drives systemic changes in circadian energy metabolism
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE176095 | GEO | 2022/04/05
REPOSITORIES: GEO
Similar Datasets
Project description:Chronic inflammation underpins many human diseases. The morbidity and mortality of chronic inflammation is often mediated through metabolic dysfunction. Inflammatory and metabolic processes vary through circadian time, suggesting an important temporal crosstalk between these systems. Using an established mouse model of rheumatoid arthritis, here we show thatchronic inflammatory arthritis results in rhythmic joint inflammation and drives major changes in muscle and liver energy metabolism and rhythmic gene expression. Transcriptional and phosphoproteomic analyses reveal alteration in lipid metabolism and mitochondrial function associated with increased EGFR-JAK11 STAT3 signalling. Metabolomic analyses confirmed rhythmic metabolic rewiring with impaired β-oxidation and lipid handling, and revealed a pronounced shunt towards sphingolipid and ceramide accumulation. The arthritis-related production of ceramides was most pronounced during the day, the time of peak inflammation and increased reliance on fatty acid oxidation. Thus, our data demonstrate that localised joint inflammation drives a time-of-day dependent build-up of bioactive lipid species driven by rhythmic inflammation and altered EGFR-STAT signalling.
2022-05-08 | PXD032723 | Pride
Project description:Baker2013 - Cytokine Mediated Inflammation in
Rheumatoid Arthritis
This model by Baker M. 2013, describes
the interaction between pro and anti-inflammatory cytokine
signalling in rheumatoid arthritis.
Using two ordinary differential equations, the first model
[BIOMD0000000550]
analyses bifurcation and describes different pathological states by
altering inflammatory regulation parameters.
The second model
[BIOMD0000000549]
includes the effect that ageing has on pro-inflammatory signalling,
allowing for time-dependant properties and disease progression to
be observed. The author also describes potential dosing for
reversal of the disease state.
This model is described in the article:
Mathematical modelling of
cytokine-mediated inflammation in rheumatoid arthritis.
Baker M, Denman-Johnson S, Brook BS,
Gaywood I, Owen MR.
Math Med Biol 2013 Dec; 30(4):
311-337
Abstract:
Rheumatoid arthritis (RA) is a chronic inflammatory disease
preferentially affecting the joints and leading, if untreated,
to progressive joint damage and disability. Cytokines, a group
of small inducible proteins, which act as intercellular
messengers, are key regulators of the inflammation that
characterizes RA. They can be classified into pro-inflammatory
and anti-inflammatory groups. Numerous cytokines have been
implicated in the regulation of RA with complex up and down
regulatory interactions. This paper considers a two-variable
model for the interactions between pro-inflammatory and
anti-inflammatory cytokines, and demonstrates that mathematical
modelling may be used to investigate the involvement of
cytokines in the disease process. The model displays a range of
possible behaviours, such as bistability and oscillations,
which are strongly reminiscent of the behaviour of RA e.g.
genetic susceptibility and remitting-relapsing disease. We also
show that the dose regimen as well as the dose level are
important factors in RA treatments.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000550.
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.
2014-09-25 | BIOMD0000000550 | BioModels
Project description:Baker2013 - Cytokine Mediated Inflammation in
Rheumatoid Arthritis - Age Dependant
This model by Baker M. 2013, describes
the interaction between pro and anti-inflammatory cytokine
signalling in rheumatoid arthritis.
Using two ordinary differential equations, the first model
[BIOMD0000000550]
analyses bifurcation and describes different pathological states by
altering inflammatory regulation parameters.
The second model
[BIOMD0000000549]
includes the effect that ageing has on pro-inflammatory signalling,
allowing for time-dependant properties and disease progression to
be observed. The author also describes potential dosing for
reversal of the disease state.
This model is described in the article:
Mathematical modelling of
cytokine-mediated inflammation in rheumatoid arthritis.
Baker M, Denman-Johnson S, Brook BS,
Gaywood I, Owen MR.
Math Med Biol 2013 Dec; 30(4):
311-337
Abstract:
Rheumatoid arthritis (RA) is a chronic inflammatory disease
preferentially affecting the joints and leading, if untreated,
to progressive joint damage and disability. Cytokines, a group
of small inducible proteins, which act as intercellular
messengers, are key regulators of the inflammation that
characterizes RA. They can be classified into pro-inflammatory
and anti-inflammatory groups. Numerous cytokines have been
implicated in the regulation of RA with complex up and down
regulatory interactions. This paper considers a two-variable
model for the interactions between pro-inflammatory and
anti-inflammatory cytokines, and demonstrates that mathematical
modelling may be used to investigate the involvement of
cytokines in the disease process. The model displays a range of
possible behaviours, such as bistability and oscillations,
which are strongly reminiscent of the behaviour of RA e.g.
genetic susceptibility and remitting-relapsing disease. We also
show that the dose regimen as well as the dose level are
important factors in RA treatments.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000549.
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.
2014-09-25 | BIOMD0000000549 | BioModels
Project description:Juvenile idiopathic arthritis (JIA) is a chronic rheumatic disease with altered transcriptional signatures at the site of inflammation. mRNA transcription and translation are amongst other epigenetic mechanisms tightly regulated by specific miRNA expression. To determine the roles of different miRNAs within JIA pathogenesis we performed a global miRNA expression analysis in parallel in cells from the arthritic joint and peripheral blood of JIA patients, which demonstrates a different composition of miRNA expression at the site of inflammation. Bioinformatic analysis of predicted miRNA target genes suggests a huge overrepresentation of genes involved in metabolic and oxidative stress pathways in the inflamed joint. On the cellular level enhanced reactive oxygen species (ROS) and signs of highly activated metabolism in JIA T cells are present. Despite enhanced ROS levels within the local inflammatory milieu, JIA T cells are hyperproliferative and reveal a TNFa dependent overexpression of miR-23a, which is an inhibitor of PPIF, the regulator of mitochondrial ROS escape. TNFa blockade reduces miRNA-23a, rescues PPIF expression and ROS shuttling and thereby inhibits hyperproliferation. Our data show a novel mechanism of T cell proliferation and metabolism in JIA, which is mediated by miRNA dependent mitochondrial ROS shuttling.
2022-07-26 | GSE134984 | GEO
Project description:Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced inter-patient heterogeneity. To characterize RA at the molecular level and to uncover key pathomechanisms, we performed whole-genome gene expression analyses. Synovial tissues from rheumatoid arthritis patients were compared to those from osteoarthritis patients and to normal donors. Keywords: disease state analysis
2004-11-04 | GSE1919 | GEO
Project description:Gouty Arthritis (GA) is caused by urate deposition in the joint capsule, cartilage, bone, and surrounding tissues to trigger recurrent attacks of acute joint inflammation. However, the clearance mechanism of urate deposition is still not clear. We aimed to investigate whether lymphatics vessels can drain monosodium and involve in the immune process of GA. Methods: Inguinal lymph nodes (LNs) in 4 normal volunteers and 4 patients with acute flare of GA were examined by ultrasound. Acute and chronic GA flare mouse models were established by intra-footpad administrations of monosodium urate (MSU) for 1 week or 1 month. Mice were treated with VEGFR-3 inhibitor or undergone popliteal lymph node (PLN) excision or PLN macrophage depletion. The severity of foot inflammation, lymphatic draining function, concentration of uric acid (UA), and macrophage population were examined. Macrophages were co-cultured with MSU-treated lymphatic endothelial cells (LECs) and differential gene expression of LECs was assessed by Agilent gene expression microarray. Results: 1) Draining LNs were enlarged in patients with GA flare and GA mouse models. 2) The lymphatic function and structure were abnormal in GA mouse models. 3) Acute GA mice had elevated UA levels in draining LNs, but not in the serum, while chronic GA mice had elevated UA levels in both LNs and serum. 4) Blockade of VEGFR-3 reduced foot inflammation in chronic GA mice. 5) MSU induces pro-inflammatory polarization of macrophages by inducing LEC inflammation. 6) PLN local depletion of macrophages or removal of PLNs alleviated foot inflammation in GA. Conclusions: Lymphatics drain MSU to the draining LNs to clear deposited urate in the distal extremity and induce LECs to stimulate macrophage pro-inflammatory response during GA. We have identified a novel mechanism about MSU clearance and pro-inflammatory macrophage activation, and provided possible therapeutic approach for GA.
2022-04-02 | GSE199950 | GEO
Project description:Prednisolone is a potent anti-inflammatory glucocorticoid (GC) but chronic use is hampered by metabolic side effects. Although GCs are predominantly prescribed for treatment of inflammatory conditions, little is known about their long-term effects on gene-expression in-vivo during inflammation. Here, we aimed to identify genes underlying prednisolone-induced metabolic side effects in a complex in-vivo inflammatory setting after long-term treatment. We performed whole-genome expression profiling in liver and muscle from arthritic and non-arthritic mice treated with several doses of prednisolone for three weeks.
2013-11-10 | E-MTAB-1765 | biostudies-arrayexpress
Project description:Rheumatoid arthritis is an autoimmune inflammatory joint condition which primarily affects the synovium of joints, characterised by synovial inflammation as well as articular cartilage and underlying bone destruction. Within this study, the proteomes of serum obtained from rheumatoid arthritis patients, and appropriate human controls, were analysed using liquid chromatography-tandem mass spectrometry. ProteoMiner™ equalisation columns were used to deplete high abundant proteins and reduce the protein concentration dynamic range.
2022-04-04 | PXD020235 | Pride
Project description:Chronic inflammatory arthritis drives systemic changes in circadian energy metabolism
| PRJNA734946 | ENA
Project description:Knee joint synovium was used for gene expression analysis of mouse collagen induced arthritis (CIA). Synovium was prepared at day 30 after initial sensitization from: healthy controls, CIA animals with no, with mild, with moderate, or with severe joint inflammation. Each sample group is represented by three replicates, each consisting of tissue collected from three to four animals. Experiment Overall Design: The data set consists of 15 samples: five groups with three replicates each. One sample group is from healthy controls, the other groups are from CIA animals with different degress of joint inflammation.
2009-09-15 | E-GEOD-13071 | biostudies-arrayexpress