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
Similar Datasets
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.
2023-07-11 | MTBLS4766 | MetaboLights
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.
2019-02-18 | PXD011796 | Pride
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.
2021-09-08 | PXD010723 | Pride
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: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:Rheumatoid arthritis is an inflammatory disease of the synovial joints that affects ~1% of the human population, with severe distress due to progressive joint inflammation and deformation. When addressing the links between specific components of the apoptotic cell clearance machinery and human disease, we noted a correlation between single nucleotide polymorphisms (SNPs) in ELMO1, DOCK2, and RAC1 genes and rheumatoid arthritis. ELMO1 is a cytoplasmic adapter protein that associates with DOCK2 and RAC1 to promote cytoskeletal reorganization needed for apoptotic cell uptake by phagocytes. We initially hypothesized that, since ELMO1 is linked to apoptotic cell clearance, loss of ELMO1 would lead to increased inflammation in arthritis. Contrary to the accumulation of apoptotic cells and greater disease severity that we predicted, we observed significantly reduced joint inflammation in two models of arthritis in mice lacking ELMO1. Using genetic and cell biological approaches in vivo and ex vivo, we determined that ELMO1 deficiency significantly reduces neutrophil recruitment to inflamed joints, but does not result in general inhibition of inflammatory responses. Through proteomic analyses, we find that ELMO1 protein associates with cellular receptors that contribute to neutrophil function in arthritis, and regulates C5a and LTB4 receptor-mediated activation and early neutrophil recruitment to the joints. Neutrophil-specific transcriptomics show that ELMO1 modulates neutrophil-specific gene expression that includes genes with known linkages to human arthritis. Finally, neutrophils from the peripheral blood of human donors that carry the SNP in ELMO1 associated with arthritis display increased migratory capacity, whereas ELMO1 knockdown reduces human neutrophil migration to LTB4. These data identify key ‘non-canonical’ roles for engulfment machinery components in arthritis, and ELMO1 as an important regulator of specific neutrophil receptors and signaling linked to arthritis.
2019-03-19 | GSE122412 | GEO
Project description:We study a new pathogenic, glycolytic PD1+ B cell population in sites of inflammation of patients with Rheumatoid Arthritis (RA).
2020-09-30 | GSE154988 | GEO
Project description:Rheumatoid arthritis (RA) is an autoimmune disease that causes chronic inflammation of the joints involved with genetic and epigenetic aberrant. Recent evidence found more and more importance of the epigenetic contribution, especially the DNA methylation, to the pathogenesis of rheumatoid arthritis. To understand the extent and nature of dysregulated DNA methylation in rheumatoid arthritis T cells, we performed a genome-wide DNA methylation study in CD4+ T cells in 12 rheumatoid arthritis patients compared to 12 matched normal healthy controls. [Methods and Result] Cytosine methylation status was quantified with Illumina methylation 450K microarray (HM450K, 485512 CpG sites). We identified 810 hypomethylated and 392 hypermethylated CG sites in RA CD4+ T cells compared to normal controls, representing 383 and 785 genes hypermethylated and hypomethylated in RA patients (P<3.4*10-7). Cluster analysis based on significantly differential methylated loci showed distinct separation between RA and normal controls. Gene ontology analysis showed alternative splicing (P=1.2*10-7, FDR) and phosphoprotein (1.7*10-2, FDR) were significantly aberrant in RA patients, indicating the abnormal of transcript alternative splicing and protein modification mediated by DNA methylation might play important role in the pathogenesis of rheumatoid arthritis. What’s more, the result showed human leukocyte antigen (HLA) region was frequently hypomethylated in RA patients, including HLA-DRB6, HLA-DQA1 and HLA-E, however, HLA-DQB1 showed different methylation profiles with significant hypermethylation in CpG island region and hypomethylation in CpG shelf region. Outsite of the MHC region, the most hypermethylated genes in RA included HDAC4, NXN, TBCD and TMEM61 while the most significant hypomethylated genes included ITIH3, TCN2, PRDM16, SLC1A5 and GALNT9. [Conclusion] Genome-wide DNA methylation patterns revealed significant DNA methylation change in CD4+ T cells from patients with rheumatoid arthritis. 12 rheumatoid arthritis and 12 matched health individuals
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.
2023-12-21 | GSE245403 | GEO
Project description:To characterize transcriptome changes upon ATF6α knockdown by the siRNA in rheumatoid arthritis fibroblast-like synoviocytes (RA FLSs)
2022-10-06 | GSE214842 | GEO