A robust intracellular metabolite extraction protocol for human neutrophil metabolic profiling
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Bruker
SUBMITTER: Marie Margaret Phelan
PROVIDER: MTBLS658 | MetaboLights | 2018-12-06
REPOSITORIES: MetaboLights
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| MTBLS658 | Other | |||
| FILES | Other | |||
| a_MTBLS658_metabolite_profiling_NMR_spectroscopy.txt | Txt | |||
| i_Investigation.txt | Txt | |||
| m_MTBLS658_metabolite_profiling_NMR_spectroscopy_v2_maf.tsv | Tabular |
Items per page: 5 1 - 5 of 7 |
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Project description:Neutrophils play a key role in the pathophysiology of rheumatoid arthritis (RA) where release of ROS and proteases directly causes damage to joints and tissues. Neutrophil function is directly affected by Janus Kinase (JAK) inhibitor drugs, including tofacitinib and baricitinib, which are clinically effective treatments for RA. However clinical trials have reported increased infection rates and transient neutropenia during therapy. The subtle differences in the mode of action, efficacy and safety of JAK inhibitors has been the primary research topic of many clinical trials and systematic reviews, to provide a more precise and targeted treatment to patients. The aim of this study was to determine both the differences in the metabolome of neutrophils from healthy controls and people with RA, and the effect of different JAK inhibitors on the metabolome of healthy and RA neutrophils. Isolated neutrophils from healthy controls (HC) (n=6) and people with RA (n=7) were incubated with baricitinib, tofacitinib or a pan-JAK inhibitor (all 200ng/mL) for 2h. Metabolites were extracted and 1H nuclear magnetic resonance (NMR) was applied to study the metabolic changes. Multivariate analyses and machine learning models show a divergent metabolic pattern in RA neutrophils compared to HC at baseline (F1 score = 86.7%) driven by energy metabolites (ATP, ADP, GTP and glucose). No difference was observed in the neutrophil metabolome when treated with JAK inhibitors. However, JAK inhibitors significantly inhibited ROS production and baricitinib decreased NET production (p-value<0.05). Bacterial killing was not inhibited by JAK inhibitors, indicating their effect on neutrophils is beneficial to inhibit joint damage in RA without impairing host defence. This study highlights altered energy metabolism in RA neutrophils which may explain the cause of their dysregulation in inflammatory disease.
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Project description:Neutrophil Extracellular Traps (NETs) are chromatin-derived extracellular structures that are expelled from neutrophils in response to infectious or inflammatory stimuli. NET DNA structures are decorated with proteins including histones, myeloperoxidase and neutrophil elastase. NETs are implicated in the development of auto-immunity in diseases including rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) through the externalisation of intracellular neoepitopes e.g. dsDNA and nuclear proteins in SLE and citrullinated peptides in RA. The aim of this work was to use quantitative proteomics to identify and measure NET proteins produced by neutrophils from healthy individuals, and from patients with RA and SLE.
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Project description:Objective. To analyse the pathogenesis of the diseases rheumatoid arthritis (RA) and spondyloarthritis (SpA) we investigated the protein composition in synovial fluid from the patients. Methods. Fifty-six synovial fluid (SF) were analysed with non-gel based proteomics from patients with RA (32) and SpA (24). Rheumatoid factor was measured in plasma, and cell-free DNA was measured in SF. Results. Two hundred proteins were quantified in the samples. The inflammatory proteins were more abundant in the RA group, specially proteins from neutrophil granulocytes. Cell-free DNA (cfDNA) in the SF was statistically associated with proteins that are known to form neutrophil extracellular traps (NETs). Plasma C-reactive protein (CRP), was correlated to other acute phase proteins in the SF. Minimal correlation was seen between acute phase proteins and proteins in NETs. Conclusions. The results show that in the synovial cavity in vivo neutrophils form NETs. This result sustains that neutrophils from RA patients are activated and are likely to undergo NETosis resulting in SF cfDNA specific of arthritis pathology with NETosis.
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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
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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.
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2017-07-29 | GSE71841 | GEO
Project description:Immune-mediated inflammatory diseases (IMIDs) are typically characterised by relapsing and remitting flares of inflammation. However, the unpredictability of disease flares impedes their study. Addressing this critical knowledge gap, we used the experimental medicine approach of immunomodulatory drug withdrawal in rheumatoid arthritis (RA) remission to synchronise flare processes, allowing characterisation with unprecedented detail. We used single cell RNA sequencing to analyse the diversity and comparative longitudinal changes in paired circulating lymphocyte samples from 12 patients with RA in remission prior to drug cessation (on-drug remission) and after drug cessation (either off drug flare, or drug-free remission) as part of the Biomarkers of Remission in Rheumatoid Arthritis (BioRRA) Study.
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Project description:To characterize transcriptome changes upon ATF6α knockdown by the siRNA in rheumatoid arthritis fibroblast-like synoviocytes (RA FLSs)
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