Eupalinolide B targets DEK and PANoptosis through E3 ubiquitin ligases RNF149 and RNF170 to negatively regulate asthma
Qiaoyun Bai,
No information about this author
Chongyang Wang,
No information about this author
Ning Ding
No information about this author
et al.
Phytomedicine,
Journal Year:
2025,
Volume and Issue:
unknown, P. 156657 - 156657
Published: March 1, 2025
Language: Английский
RNF149 modulates the type I IFN innate antiviral immune responses through degrading IRF3
Mengyun Wu,
No information about this author
Jiamin Cai,
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Guodong Qiao
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et al.
PLoS Pathogens,
Journal Year:
2025,
Volume and Issue:
21(4), P. e1013051 - e1013051
Published: April 17, 2025
E3
ubiquitin
ligases
are
key
molecules
in
regulating
the
innate
immune
responses
against
virus.
They
catalyze
activation
or
degradation
of
various
signaling
proteins
involved
responses.
Herein,
we
found
regulatory
role
RNF149
host's
viral
infection.
Virus
infection
induced
expression
RNF149.
Overexpression
was
associated
with
reduced
production
IFN-β
and
enhanced
replication.
Mechanically,
interacted
IRF3
downregulated
its
protein
level.
As
an
ligase,
promoted
K27-linked
ubiquitination
at
K409
K33-linked
K366
K409,
which
through
proteasome
pathway.
Our
results
revealed
mechanism
during
provided
new
insights
into
host
cells
responding
to
Downregulating
may
help
enhance
antiviral
ability
inhibit
replication,
thus
providing
a
strategy
for
treatment
Language: Английский
The Role of Ubiquitination on Macrophages in Cardiovascular Diseases and Targeted Treatment
Li Wang,
No information about this author
Yan Zhang,
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Jianming Yue
No information about this author
et al.
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(9), P. 4260 - 4260
Published: April 30, 2025
Cardiovascular
disease
(CVD)
is
a
leading
cause
of
morbidity
and
mortality
worldwide,
with
macrophage
dysfunction
playing
central
role
in
its
pathogenesis.
Ubiquitination,
critical
post-translational
modification,
regulates
diverse
functions,
including
lipoprotein
metabolism,
inflammation,
oxidative
stress,
mitophagy,
autophagy,
efferocytosis,
programmed
cell
death
(pyroptosis,
necroptosis,
ferroptosis,
apoptosis).
This
review
highlights
the
regulatory
roles
ubiquitination
macrophage-driven
CVD
progression,
focusing
on
effects
cholesterol
activation,
polarization,
survival
macrophages.
Targeting
pathways
has
therapeutic
potential
by
enhancing
reducing
improving
plaque
stability.
However,
challenges,
such
as
off-target
effects,
crosstalk,
heterogeneity,
must
be
addressed.
By
integrating
advances
biology,
strategies
can
developed
to
mitigate
other
inflammatory
diseases.
underscores
ubiquitination-targeting
therapies
for
mitigating
key
areas
further
investigation.
Language: Английский
The Identification of Key Genes and Biological Pathways in Cardiac Arrest by Integrated Bioinformatics and Next Generation Sequencing Data Analysis
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 19, 2024
Abstract
Cardiac
arrest
(CA)
is
a
common
cause
of
death
world
wide.
The
disease
has
lacks
effective
treatment.
Efforts
have
been
made
to
elucidate
the
molecular
pathogenesis
CA,
but
mechanisms
remain
elusive.
To
identify
key
genes
and
pathways
in
next
generation
sequencing
(NGS)
GSE200117
dataset
was
downloaded
from
Gene
Expression
Omnibus
(GEO)
database.
DESeq2
tool
used
recognize
differentially
expressed
(DEGs).
ontology
(GO)
REACTOME
pathway
enrichment
analyses
were
performed
analyze
DEGs
associated
signal
g:Profiler
IID
database
construct
protein-protein
interaction
(PPI)
network,
modules
analysis
using
Cytoscape.
A
miRNA-hub
gene
regulatory
network
TF-hub
then
constructed
screen
miRNAs,
TFs
hub
by
miRNet
NetworkAnalyst
Cityscape
software.
Receiver
operating
characteristic
curve
(ROC)
verified
genes.
In
total,
844
identified,
comprising
414
up
regulated
430
down
GO
indicated
that
for
CA
mainly
enriched
organonitrogen
compound
metabolic
process,
response
stimulus,
translation
immune
system.
Ten
(up-regulated:
HSPA8,
HOXA1,
INCA1
TP53;
down-regulated:
HSPB1,
LMNA,
SNCA,
ADAMTSL4
PDLIM7)
screened.
We
also
predicted
miRNAs
(hsa-mir-1914-5p
hsa-mir-598-3p)
(JUN
PRRX2)
targeting
This
study
uses
series
bioinformatics
technologies
obtain
hug
genes,
TFs,
related
CA.
These
results
provide
us
with
new
ideas
finding
biomarkers
treatment
methods
Language: Английский