Regulation of synovial DKK1 expression by local glucocorticoid metabolism in inflammatory arthritis
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE37520 | GEO | 2012/04/24
SECONDARY ACCESSION(S): PRJNA161499
REPOSITORIES: GEO
Similar Datasets
Project description:Inflammatory arthritis is associated with bone loss and fractures due to abnormal bone remodelling. Bone remodelling is 'uncoupled' with bone resorption increased and bone formation suppressed. These changes resemble those seen in patients treated with therapeutic glucocorticoids, and in both of these situations, altered wnt signalling is implicated. Recent studies have highlighted the importance of the synovial fibroblast in mediating abnormal bone remodelling during inflammation. The wnt antagonist dickkopf-1 (DKK1) is secreted by synovial fibroblasts in response to inflammation, and this protein has been proposed to be a master regulator of bone remodelling in inflammatory arthritis. Here we show that DKK1 expression by primary human synovial fibroblasts is more potently regulated by glucocorticoids than pro-inflammatory cytokines. Glucocorticoids, but not TNF-alpha, regulated expression of multiple wnt agonists and antagonists in favour of inhibition of wnt signalling. In vitro TNF-alpha and IL1-beta indirectly regulate DKK1 production through increased expression of the glucocorticoid activating enzyme 11beta-hydroxysteroid dehydrogenase type 1 (11beta-HSD1). These results demonstrate that the links between synovial inflammation, altered wnt signalling and bone remodelling may not be direct but are dependent on local activation of endogenous glucocorticoids. Human fibroblast-like synoviocytes isolated from patients with rheumatoid arthritis treated with either vehicle, TNF or dexamethasone (dex). Gene arrays for control, TNF and dexamethasone treatments were performed on three separate synovial fibroblast cell lines isolated from three rheumatoid arthritis patients. All fold changes displayed are the combined results of the three separate fibroblast lines.
2012-04-24 | E-GEOD-37520 | 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:Synovial fibroblasts in persistent inflammatory arthritis have been suggested to have parallels with cancer growth and wound healing, both of which involve a stereotypical serum response program. We tested the hypothesis that a serum response program can be used to classify diseased tissues, and investigated the serum response program in fibroblasts from multiple anatomical sites and two diseases. To test our hypothesis we utilized a bioinformatics approach to explore a publicly available microarray dataset including RA, OA and normal synovial tissue, then extended those findings in a new microarray dataset representing matched synovial, bone marrow and skin fibroblasts cultured from RA and OA patients undergoing arthroplasty. The classical fibroblast serum response program discretely classified RA, OA and normal synovial tissues. Analysis of low and high serum treated fibroblast microarray data revealed a hierarchy of control, with anatomical site the most powerful classifier followed by response to serum and then disease. In contrast to skin and bone marrow fibroblasts, exposure of synovial fibroblasts to serum led to convergence of RA and OA expression profiles. Pathway analysis revealed three inter-linked gene networks characterising OA synovial fibroblasts: Cell remodelling through insulin-like growth factors, differentiation and angiogenesis through ?3 integrin, and regulation of apoptosis through CD44. We have demonstrated that Fibroblast serum response signatures define disease at the tissue level, and that an OA specific, serum dependent repression of genes involved in cell adhesion, extracellular matrix remodelling and apoptosis is a critical discriminator between cultured OA and RA synovial fibroblasts. Fibroblasts were isolated from synovium, bone marrow and skin tissue samples taken at the time of knee or hip replacement surgery from 12 rheumatoid arthritis patients meeting the 1987 ACR criteria and 6 osteoarthritis patients diagnosed on the basis of characteristic x-ray findings and the absence of features suggestive of inflammatory arthritis. Only one hip sample was present in either disease group. Fibroblasts were maintained in fibroblast medium (consisting of 81.3% RPMI 1640, 10% FCS, 0.81x MEM non-essential amino acids, 0.81mM sodium orthopyruvate, 1.62mM glutamine, 810U/ml penicillin and 81?g/ml streptomycin) at 37°C in a humidified 5% CO2 atmosphere.
2015-06-22 | E-GEOD-56409 | biostudies-arrayexpress
Project description:The identification of lymphocyte subsets with non-overlapping effector functions has been pivotal to the development of targeted therapies in immune mediated inflammatory diseases (IMIDs). Yet, despite their key role in disease, it remains unclear whether fibroblast subclasses with non-overlapping functions also exist and are responsible for the wide variety of tissue driven pathologies observed in IMIDs such as inflammation and damage . Here we identify and describe the biology of distinct subsets of fibroblasts responsible for mediating either inflammation or tissue damage in arthritis. We show that deletion of FAPa+ synovial cells suppressed both inflammation and bone erosions in murine models of resolving and persistent arthritis. Single cell transcriptional analysis identified two distinct fibroblast subsets: FAPa+ THY1+ immune effector fibroblasts located in the synovial sub-lining, and FAPa+ THY1- destructive fibroblasts restricted to the synovial lining. When adoptively transferred into the joint, FAPa+ THY1- fibroblasts selectively mediate bone and cartilage damage with little effect on inflammation whereas transfer of FAPa+ THY1+ fibroblasts resulted in a more severe and persistent inflammatory arthritis, with minimal effect on bone and cartilage. Our findings describing anatomically discrete, functionally distinct fibroblast subsets with non-overlapping functions have important implications for cell based therapies aimed at modulating inflammation and tissue damage.
2019-04-09 | GSE129451 | GEO
Project description:The identification of lymphocyte subsets with non-overlapping effector functions has been pivotal to the development of targeted therapies in immune mediated inflammatory diseases (IMIDs). Yet, despite their key role in disease, it remains unclear whether fibroblast subclasses with non-overlapping functions also exist and are responsible for the wide variety of tissue driven pathologies observed in IMIDs such as inflammation and damage . Here we identify and describe the biology of distinct subsets of fibroblasts responsible for mediating either inflammation or tissue damage in arthritis. We show that deletion of FAPa+ synovial cells suppressed both inflammation and bone erosions in murine models of resolving and persistent arthritis. Single cell transcriptional analysis identified two distinct fibroblast subsets: FAPa+ THY1+ immune effector fibroblasts located in the synovial sub-lining, and FAPa+ THY1- destructive fibroblasts restricted to the synovial lining. When adoptively transferred into the joint, FAPa+ THY1- fibroblasts selectively mediate bone and cartilage damage with little effect on inflammation whereas transfer of FAPa+ THY1+ fibroblasts resulted in a more severe and persistent inflammatory arthritis, with minimal effect on bone and cartilage. Our findings describing anatomically discrete, functionally distinct fibroblast subsets with non-overlapping functions have important implications for cell based therapies aimed at modulating inflammation and tissue damage.
2019-06-03 | GSE129087 | GEO
Project description:In arthritis, synovial fibroblast (SF) senescence is linked to the activation of a pro-inflammatory phenotype contributing to chronic arthritis pathogenesis. Additionally, senescent cells accumulate in ageing tissues further promoting ageing and inflammation. These cells have dysregulated mitochondrial function and metabolism, limited tissue regeneration, produce reactive oxygen species (ROS) and secrete bioactive molecules, including pro-inflammatory cytokines, chemokines and matrix-remodelling enzymes known as SASP (senescence-associated secretory phenotype). In vitro, senescent cells can induce a senescent phenotype in surrounding bystander cells. Interestingly, extracellular vesicles (EVs) have critical roles in cellular senescence and ageing and are mediators in intercellular communication. We hypothesize that senescent cells in osteoarthritic SFs induce senescence and/or a proinflammatory phenotype in non-senescent osteoarthritic SFs, mediated through EV cargo.
2022-10-15 | PXD032757 | Pride
Project description:Immune responses are crucial to maintaining tissue homeostasis upon tissue injury. Upon various types of challenges, macrophages play a central role in regulating inflammation and tissue repair processes. While an immunomodulatory role of Wnt antagonist Dickkopf1 (DKK1) has been implicated, the role of Wnt antagonist DKK1 in regulating macrophage polarization in inflammation and the tissue repair process remains elusive. Here we found that DKK1 induces differential gene expression profiles from type 2-cytokine-activated macrophages to promote inflammation and tissue repair. Importantly, DKK1 induced pro-inflammatory and pro-resolving gene expressions via JNK (c-jun N-terminal kinase) in macrophages. Furthermore, DKK1 potentiated IL-13-mediated macrophage polarization and activation. Co-inhibition of JNK and STAT6 markedly decreased pro-inflammatory and pro-resolving gene expressions by DKK1 and IL-13. Interestingly, thrombocyte-specific deletion of DKK1 in mice reduced monocyte-derived macrophages in the acute sterile bleomycin (BLM)-induced lung injury model, suggesting that thrombocytes communicate with macrophages via DKK1 to orchestrate inflammation-induced injury repair process. Taken together, our study demonstrates DKK1’s role as a key regulatory role in macrophage polarization in the injury-induced inflammation and repair process.
2023-12-06 | GSE247398 | GEO
Project description:Regulation of synovial DKK1 expression by local glucocorticoid metabolism in inflammatory arthritis
| PRJNA161499 | ENA
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.
2024-09-02 | 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.
2024-09-02 | BIOMD0000000549 | BioModels