A chromatin-regulated biphasic circuit coordinates IL1B-mediated inflammation
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE244833 | GEO | 2023/10/16
REPOSITORIES: GEO
Similar Datasets
Project description:Inflammation is characterized by a biphasic cycle consisting initially of a pro-inflammatory phase which is subsequently resolved by anti-inflammatory processes. The coordination of these two disparate states needs to be highly controlled, suggesting that the regulation of the cytokines that drive these processes are intimately linked. Interleukin-1 beta (IL1B) is a master regulator of pro-inflammation and is encoded within the same topologically associated domain (TAD) as interleukin-37 (IL37). IL37 has recently emerged as a powerful anti-inflammatory cytokine which diametrically opposes the function of IL1B. Within this TAD, we identified a novel long non-coding RNA called AMANZI which negatively regulates IL1B expression and trained immunity through the induction of IL37 transcription. We found that the activation of IL37 occurs through the formation of a dynamic long-range chromatin contact that leads to the temporal delay of anti-inflammatory responses. The common variant rs16944 present in AMANZI augments this regulatory circuit, predisposing individuals to enhanced pro-inflammation or immunosuppression. Our work illuminates a chromatin-mediated biphasic circuit coordinating expression of IL1B and IL37, thereby regulating two functionally opposed states of inflammation from within a single TAD.
2023-10-27 | PXD045971 | Pride
Project description:A chromatin-regulated biphasic circuit coordinates IL1B-mediated inflammation
| PRJNA1024984 | ENA
Project description:Mathematical model of pro- and anti-inflammatory response, inflammation/damage and infection dynamics in BALB/c mouse with Staphylococcal aureus infection.
2024-09-02 | BIOMD0000000920 | BioModels
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
Project description:Infiltration of human myometrium and cervix with leukocytes and formation of a pro-inflammatory environment within the uterus has been associated with the initiation of both term and preterm parturition. The mechanism regulating the onset of this pro-inflammatory cascade is not fully elucidated. We demonstrate that prokineticin 1 (PROK1) is up-regulated in human myometrium and placenta during labour. Gene array analysis identified 65 genes up-regulated by PROK1 in human myometrium, mainly cytokines and chemokines including: Interleukin-1beta (IL1B), chemokine C-C motif ligand 3 (CCL3) and Colony Stimulating Factor 3 (CSF3). We additionally demonstrate that PROK1 increases expression of chemokines C-C motif ligand 20 (CCL20), Interleukin-6 (IL-6), Interleukin-8 (IL-8), prostaglandin synthase 2 (PTGS2) and prostaglandin E2 and F2? secretion. We propose that PROK1 is a novel inflammatory mediator that can contribute to onset of human parturition at term and partially mediate premature onset of inflammatory pathways during bacterial infection. Total RNA was extracted from human term non-labour myometrium explants treated with prokineticin for 6 and 24 hours compared to vehicle-treated explants. Six biological replicates were analyzed for each treatment and time point. Two of the 6-hour vehicle samples failed a quality-control analysis and were substituted with a 4-hour vehicle treatment from the same tissue sample in each case.
2011-12-31 | E-GEOD-28272 | biostudies-arrayexpress
Project description:Dunster2014 - WBC Interactions (Model1)
This is a sub-model of a three-step
inflammatory response modelling study. The model includes distinct
populations of white blood cells namely, macrophages and active and
apoptotic neutrophil populations. Neutrophil apoptosis rate is
predicted to be crucial for the qualitative nature of the
system.
This model is described in the article:
The resolution of
inflammation: a mathematical model of neutrophil and macrophage
interactions.
Dunster JL, Byrne HM, King JR.
Bull. Math. Biol. 2014 Aug; 76(8):
1953-1980
Abstract:
There is growing interest in inflammation due to its
involvement in many diverse medical conditions, including
Alzheimer's disease, cancer, arthritis and asthma. The
traditional view that resolution of inflammation is a passive
process is now being superceded by an alternative hypothesis
whereby its resolution is an active, anti-inflammatory process
that can be manipulated therapeutically. This shift in mindset
has stimulated a resurgence of interest in the biological
mechanisms by which inflammation resolves. The
anti-inflammatory processes central to the resolution of
inflammation revolve around macrophages and are closely related
to pro-inflammatory processes mediated by neutrophils and their
ability to damage healthy tissue. We develop a spatially
averaged model of inflammation centring on its resolution,
accounting for populations of neutrophils and macrophages and
incorporating both pro- and anti-inflammatory processes. Our
ordinary differential equation model exhibits two outcomes that
we relate to healthy and unhealthy states. We use bifurcation
analysis to investigate how variation in the system parameters
affects its outcome. We find that therapeutic manipulation of
the rate of macrophage phagocytosis can aid in resolving
inflammation but success is critically dependent on the rate of
neutrophil apoptosis. Indeed our model predicts that an
effective treatment protocol would take a dual approach,
targeting macrophage phagocytosis alongside neutrophil
apoptosis.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000616.
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 | BIOMD0000000616 | BioModels
Project description:Infiltration of human myometrium and cervix with leukocytes and formation of a pro-inflammatory environment within the uterus has been associated with the initiation of both term and preterm parturition. The mechanism regulating the onset of this pro-inflammatory cascade is not fully elucidated. We demonstrate that prokineticin 1 (PROK1) is up-regulated in human myometrium and placenta during labour. Gene array analysis identified 65 genes up-regulated by PROK1 in human myometrium, mainly cytokines and chemokines including: Interleukin-1beta (IL1B), chemokine C-C motif ligand 3 (CCL3) and Colony Stimulating Factor 3 (CSF3). We additionally demonstrate that PROK1 increases expression of chemokines C-C motif ligand 20 (CCL20), Interleukin-6 (IL-6), Interleukin-8 (IL-8), prostaglandin synthase 2 (PTGS2) and prostaglandin E2 and F2α secretion. We propose that PROK1 is a novel inflammatory mediator that can contribute to onset of human parturition at term and partially mediate premature onset of inflammatory pathways during bacterial infection.
2011-12-31 | GSE28272 | GEO
Project description:Baker2017 - The role of cytokines, MMPs and
fibronectin fragments osteoarthritis
This model is described in the article:
Mathematical modelling of
cytokines, MMPs and fibronectin fragments in osteoarthritic
cartilage.
Baker M, Brook BS, Owen MR.
J Math Biol 2017 Feb; :
Abstract:
Osteoarthritis (OA) is a degenerative disease which causes
pain and stiffness in joints. OA progresses through excessive
degradation of joint cartilage, eventually leading to
significant joint degeneration and loss of function. Cytokines,
a group of cell signalling proteins, present in raised
concentrations in OA joints, can be classified into
pro-inflammatory and anti-inflammatory groups. They mediate
cartilage degradation through several mechanisms, primarily the
up-regulation of matrix metalloproteinases (MMPs), a group of
collagen-degrading enzymes. In this paper we show that the
interactions of cytokines within cartilage have a crucial role
to play in OA progression and treatment. We develop a
four-variable ordinary differential equation model for the
interactions between pro- and anti-inflammatory cytokines, MMPs
and fibronectin fragments (Fn-fs), a by-product of cartilage
degradation and up-regulator of cytokines. We show that the
model has four classes of dynamic behaviour: homoeostasis,
bistable inflammation, tristable inflammation and persistent
inflammation. We show that positive and negative feedbacks
controlling cytokine production rates can determine either a
pre-disposition to OA or initiation of OA. Further, we show
that manipulation of cytokine, MMP and Fn-fs levels can be used
to treat OA, but we suggest that multiple treatment targets may
be essential to halt or slow disease progression.
This model is hosted on
BioModels Database
and identified by:
MODEL1704120000.
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 | BIOMD0000000928 | BioModels
Project description:Excessive inflammation within the central nervous system is injurious, but an immune response is also required for its repair. Macrophages are versatile cells that adopt different properties depending upon their microenvironment. Exposing macrophages to interleukin-4 and -13 (IL4/IL13) has incurred interest for their reparative properties. Unexpectedly, while macrophages exposed to the classic pro-inflammatory signals (interferon-γ/lipopolysaccharide, IFN/LPS) killed neurons and oligodendrocytes in culture, the addition of LPS to IL4/IL13-treated macrophages profoundly elevated IL10, repair metabolites (lactate, ornithine), glucose metabolism and the oligodendrocyte-trophic heparin-binding epidermal growth factor (HBEGF); cells did not display pro-inflammatory or neurotoxic features. In mice with spinal cord demyelination, locally-applied IL4/IL13 was insufficient to alter responses beyond controls; remarkably, the LPS/IL4/IL13-treated animals significantly increased lesional phagocytic macrophages/microglia, lactate and HBEGF levels, oligodendrogenesis and remyelination. We report a remarkably reparative state of macrophages that is unexpectedly generated by the integration of pro- (LPS) and anti- (IL4/IL13) inflammatory activation cues.
2019-09-06 | PXD015021 | Pride