Immunometabolic effect of nitric oxide on human macrophages challenged with the SARS-CoV2-induced cytokine storm
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE236294 | GEO | 2023/07/01
REPOSITORIES: GEO
Similar Datasets
Project description:TcpC is a multifunctional virulence factor of uropathogenic E. coli (UPEC). Neutrophil extracellular trap formation (NETosis) is a crucial anti-infection mechanism of neutrophils. Here we show the influence of TcpC on NETosis and related mechanisms. In situ NETosis of kidneys from pyelonephritis mouse model induced by TcpC-secreting wild-type CFT073 (CFT073wt) and LPS-induced in vitro NETosis in CFT073wt- or recombinant TcpC (rTcpC)-treated neutrophils are inhibited. rTcpC enters neutrophils through caveolin-mediated endocytosis and inhibits LPS-induced production of ROS, proinflammatory cytokines and protein but not mRNA levels of peptidylarginine deiminase 4 (PAD4). rTcpC treatment enhances PAD4 ubiquitination and accumulation in proteasomes. Moreover, in vitro ubiquitination kit analyses suggest that TcpC is a PAD4-targetd E3 ubiquitin-ligase. These data suggest that TcpC inhibits NETosis primarily by serving as an E3 ligase that promotes degradation of PAD4. Our findings provide a novel mechanism underlying TcpC-mediated innate immune evasion.
2021-05-05 | GSE173807 | GEO
Project description:Apolipoprotein 4 (APOE4), is the strongest genetic risk allele associated with the development of late onset Alzheimer’s disease (AD). Across the CNS, astrocytes are the predominant expressor of Apoe while also being critical mediators of neuroinflammation and cerebral metabolism. APOE4 has been consistently linked with dysfunctional neuro-immunometabolism, however insights into the molecular constituents driving these responses remain unclear. Utilizing complimentary approaches across humanized ApoE expressing mice and isogenic IPS astrocytes, we demonstrate that harboring ApoE4 alters astrocyte immunometabolic response to pro-inflammatory stimuli. Our findings demonstrate that ApoE4-expressing astrocytes acquire distinct transcriptional repertoires at the single-cell and spatially-resolved domains, which driven, in-part, by preferential utilization of the cRel transcription factor. Further, inhibiting cRel translocation abrogated inflammatory-induced glycolytic shift and ultimately resulted in significantly dampened glycolysis-associated metabolites in tandem with mitigating production of multiple pro-inflammatory cytokines. Altogether, our findings elucidate novel cellular underpinnings by which ApoE4 drives maladaptive immunometabolic responses of astrocytes.
2022-10-20 | GSE215445 | GEO
Project description:Apolipoprotein 4 (APOE4), is the strongest genetic risk allele associated with the development of late onset Alzheimer’s disease (AD). Across the CNS, astrocytes are the predominant expressor of Apoe while also being critical mediators of neuroinflammation and cerebral metabolism. APOE4 has been consistently linked with dysfunctional neuro-immunometabolism, however insights into the molecular constituents driving these responses remain unclear. Utilizing complimentary approaches across humanized ApoE expressing mice and isogenic IPS astrocytes, we demonstrate that harboring ApoE4 alters astrocyte immunometabolic response to pro-inflammatory stimuli. Our findings demonstrate that ApoE4-expressing astrocytes acquire distinct transcriptional repertoires at the single-cell and spatially-resolved domains, which driven, in-part, by preferential utilization of the cRel transcription factor. Further, inhibiting cRel translocation abrogated inflammatory-induced glycolytic shift and ultimately resulted in significantly dampened glycolysis-associated metabolites in tandem with mitigating production of multiple pro-inflammatory cytokines. Altogether, our findings elucidate novel cellular underpinnings by which ApoE4 drives maladaptive immunometabolic responses of astrocytes.
2022-10-20 | GSE215444 | GEO
Project description:Neutrophils play a pivotal role in innate immunity and participate in a range of immunological disorders. Excessive neutrophil extracellular traps formed at infection and tissue damage sites are detrimental to the local tissue and further exacerbate inflammation. Protein arginine deiminases mediate histone citrullination and NET formation thereby regulating endotoxin shock response. However, the molecular mechanisms are less known. Here we report that inhibition of netosis attenuates inflammation in a LPS induced lethal endotoxic shock model in mice. Albeit a higher number of neutrophils are accumulated in peritoneal cavity the primary inflammatory site, the level of inflammatory signals is greatly reduced after netosis inhibition with a PAD inhibitor. In lungs under endotoxic stress, gene expression analyses indicate that LPS induced a drastic increase in inflammatory gene expression. In contrast, lung tissue damage and inflammation were much reduced after PAD inhibition to reduce netosis. In summary, we found NET formation inhibition as a new avenue to manage inflammatory damages under endotoxic stress.
2022-12-01 | GSE203340 | GEO
Project description:Our group has proposed that low-density granulocytes (LDGs) play an important role in lupus pathogenesis, as they can damage endothelial cells and synthesize increased levels of proinflammatory cytokines and type I interferons. LDGs have a heightened capacity to synthesize neutrophil extracellular traps (NETs). NETs from LDGs display increased levels of bactericidal and immunostimulatory proteins, such as the cathelicidin LL37 and externalize double-stranded DNA (dsDNA). Lupus netting LDGs have increased capacity to kill endothelial cells and expose IL-17. Through NETosis, lupus neutrophils stimulate plasmacytoid DCs to synthesize IFN-?. Our results further expand the potential pathogenic role of aberrant lupus neutrophils through a NET-mediated effect. We used microarrays to analyze the gene expression of neutrophils in healthy and lupus patients, and of low-density granulocytes in lupus patients. Human neutrophils and LDGs were isolated from PBMCs. RNA from healthy neutrophils, lupus neutrophils and lupus LDGs was extracted and processed for hybridization on Affymetrix microarrays.
2011-06-22 | E-GEOD-26975 | biostudies-arrayexpress
Project description:Apolipoprotein 4 (APOE4), is the strongest genetic risk allele associated with the development of late onset Alzheimer’s disease (AD). Across the CNS, astrocytes are the predominant expressor of Apoe while also being critical mediators of neuroinflammation and cerebral metabolism. APOE4 has been consistently linked with dysfunctional neuro-immunometabolism, however insights into the molecular constituents driving these responses remain unclear. Utilizing complimentary approaches across humanized ApoE expressing mice and isogenic IPS astrocytes, we demonstrate that harboring ApoE4 alters astrocyte immunometabolic response to pro-inflammatory stimuli. Our findings demonstrate that ApoE4-expressing astrocytes acquire distinct transcriptional repertoires at the single-cell and spatially-resolved domains, which driven, in-part, by preferential utilization of the cRel transcription factor. Further, inhibiting cRel translocation abrogated inflammatory-induced glycolytic shift and ultimately resulted in significantly dampened glycolysis-associated metabolites in tandem with mitigating production of multiple pro-inflammatory cytokines. Altogether, our findings elucidate novel cellular underpinnings by which ApoE4 drives maladaptive immunometabolic responses of astrocytes.
2022-10-20 | GSE215446 | GEO
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:Neutrophils are short-lived innate immune cells. Upon encountering appropriate stimuli, neutrophils generate and release neutrophil extracellular traps (NETs), primarily via NADPH oxidase (Nox)-dependent (~2 hours) or Nox-independent NETosis (~15-60 minutes). Ironically, DNA transcription in dying neutrophils remains an enigma. We hypothesized that transcriptional activation, regulated by NETosis-specific kinases, is important to drive the chromatin decondensation necessary for NETosis. For the first time, we show here that (i) the degree of NETosis corresponds to the degree of genome-wide transcription; (ii) kinase-specific transcriptional activation reflects transcriptional firing during different types of NETosis; and (iii) Transcriptomics suggests that NETosis could differentially regulate inflammation. Therefore, we propose that the initial steps of transcriptional firing, but neither transcription per se help to drive NETosis.
2016-12-31 | GSE80489 | GEO
Project description:A large number of clinical trials have shown that acupuncture is effective in improving leukopenia after chemotherapy. Our study has shown that electroacupuncture can effectively improve the hematopoietic function of bone marrow in chemotherapy-induced leukopenia mice. Therefore, we want to further observe the key signal pathway of bone marrow of electroacupuncture to improve leukopenia after chemotherapy. We used microarray to detail the expression of hematopoiesis related genes in bone marrow.
2020-12-25 | GSE163828 | GEO