Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 17, 2024
Atherosclerosis
is
a
chronic
inflammatory
disease
characterized
by
persistent
responses
throughout
all
stages
of
its
progression.
Modulating
these
promising
avenue
for
the
development
cardiovascular
therapies.
Splicing
events
modulate
gene
expression
and
diversify
protein
functionality,
exerting
pivotal
roles
in
mechanisms
underlying
atherosclerosis.
These
insights
may
provide
novel
opportunities
developing
anti-inflammatory
therapies
this
disease.
This
article
systematically
discusses
diverse
splice
variants
how
splicing
impact
response
atherosclerosis
via
endothelial
cells,
macrophages,
vascular
smooth
muscle
highlighting
their
molecular
implications.
Furthermore,
study
summarizes
clinical
evidence
supporting
splicing-related
molecules
as
diagnostic
biomarkers
therapeutic
targets
Lastly,
we
outline
current
challenges
future
research
directions
concerning
offers
perspective
formulating
new
strategies
aimed
at
lowering
risk
British Journal of Pharmacology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 2, 2025
Abstract
Background
and
Purpose
Vascular
inflammation
endothelial
dysfunction
cause
the
development
of
atherosclerotic
cardiovascular
diseases
including
coronary
artery
disease
(CAD).
While
elevated
fatty
acid
binding
protein
3
(FABP3)
may
be
associated
with
presence
diseases,
its
mechanistic
effects
remain
unclear.
This
study
aimed
to
investigate
role
FABP3
in
impaired
angiogenesis
atherosclerosis
CAD.
Experimental
Approach
In
total,
1104
patients
were
enrolled
a
clinical
observational
correlation
between
serum
events
analysed.
Another
group
CAD
non‐CAD
subjects
enrolled,
their
plasma
concentrations
measured.
Primary
cultured
mononuclear
cells
progenitor
human
used
vitro
.
Matrigel
plug
neovascularisation
assay
aortic
ring
wild‐type
apolipoprotein
E‐knockout
mice
vivo
Key
Results
Circulating
was
up‐regulated
event‐positive
patients.
Mononuclear
from
presented
increased
expression
FABP3.
enhanced
adhesion
molecules,
integrin
β2,
α4
PSGL1
cells.
caused
cell
through
ERK/p38/STAT1/VEGF
signalling
pathway.
Moreover,
oxLDL
or
TNF‐α
stimulations
function
FABP3‐dependent
pathways.
also
angiogenesis.
Conclusion
Implications
elucidates
pathological
impact
on
Future
research
necessary
evaluate
whether
could
therapeutic
target,
especially
regard
stable
Journal of Advanced Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Atherosclerosis
(AS),
a
major
cause
of
cardiovascular
diseases,
is
characterized
by
lipid
accumulation
and
chronic
inflammation
within
arterial
walls.
Traditional
treatments,
such
as
statins,
are
often
ineffective
for
many
patients,
highlighting
the
need
novel
therapeutic
strategies.
This
study
explores
potential
Resibufogenin
(RBG)
an
NLRP3
inflammasome
inhibitor
treating
AS
in
ApoE-/-
mice.
We
performed
experiments
encompassing
cellular
studies,
animal
model
assessments,
molecular
simulations,
binding
assays
to
assess
RBG's
impact
on
inflammasome,
inflammatory
cytokine
release,
foam
cell
formation.
RBG
treatment
alleviated
mice,
evidenced
reduced
body
weight,
smaller
atherosclerotic
plaques,
improved
serum
profiles.
Transcriptomics
biology
demonstrated
that
suppressed
expression
key
markers
NLRP3.
also
macrophage
infiltration
promoted
polarization
toward
anti-inflammatory
M2
phenotype.
Molecular
docking,
SPR,
Pull-down
studies
identified
non-covalent
interaction
between
CYS-279
residue
NLRP3,
confirming
its
role
potent
inhibitor.
effectively
inhibits
activation,
reduces
pro-inflammatory
decreases
formation
foamy
macrophages,
thereby
slowing
progression
AS.
Although
these
findings
highlight
promising
approach
further
research
necessary
safety
effectiveness
humans
investigate
possible
synergistic
effects
with
other
treatments.
Cardiovascular Diabetology,
Journal Year:
2024,
Volume and Issue:
23(1)
Published: Dec. 28, 2024
Perivascular
adipose
tissue
(PVAT)
is
a
dynamic
that
affects
vascular
function
and
cardiovascular
health.
The
connection
between
PVAT,
the
immune
system,
obesity,
disease
complex
plays
pivotal
role
in
pathogenesis
of
diseases
such
as
atherosclerosis,
hypertension,
inflammation.
In
cardiometabolic
diseases,
PVAT
becomes
significant
source
proflammatory
adipokines,
leading
to
increased
infiltration
cells,
proinflammatory
promoting
smooth
muscle
cell
proliferation
migrationpromoting
migration.
This
exacerbates
dysfunction
by
impairing
endothelial
activation.
Dysregulated
also
contributes
hemodynamic
alterations
hypertension
through
enhanced
sympathetic
nervous
system
activity
impaired
vasodilatory
capacity
PVAT-derived
factors.
Therapeutic
interventions
targeting
key
components
this
interaction,
modulating
inflammation,
restoring
adipokine
balance,
attenuating
activation,
hold
promise
for
mitigating
obesity-related
complications.
Lifestyle
interventions,
pharmacological
agents
inflammatory
pathways,
surgical
approaches
aimed
at
reducing
mass
or
improving
are
potential
therapeutic
avenues
managing
associated
with
obesity
dysfunction.
Immunity Inflammation and Disease,
Journal Year:
2025,
Volume and Issue:
13(4)
Published: April 1, 2025
ABSTRACT
Background
Coronary
artery
plaque
rupture
(PR)
is
closely
associated
with
immune‐inflammatory
responses.
The
systemic
inflammatory
index
(SII)
and
the
response
(SIRI)
have
shown
potential
in
predicting
occurrence
of
PR.
Objective
This
study
aims
to
establish
a
machine
learning
(ML)
model
that
integrates
baseline
patient
characteristics,
SII,
SIRI
predict
goal
identify
high‐risk
PR
patients
before
intravascular
imaging
examinations.
Methods
We
included
337
acute
coronary
syndrome
who
underwent
emergency
percutaneous
intervention
optical
coherence
tomography
(OCT)
at
Affiliated
Hospital
Zunyi
Medical
University,
China,
from
May
2023
October
2023.
was
determined
by
OCT
images.
Through
manual
feature
selection,
nine
features,
including
SII
SIRI,
were
included,
an
ML
built
using
XGBoost
algorithm.
Model
performance
evaluated
receiver
operating
characteristic
curves
calibration
curves.
SHAP
values
used
assess
contribution
each
model.
Results
demonstrated
higher
area
under
curve
value
(AUC
=
0.81)
compared
or
alone
for
prediction.
also
showed
good
calibration.
revealed
top
three
features
LDL‐C,
SIRI.
Conclusion
immuno‐inflammatory
index,
which
comprehensive
clinical
can
However,
large‐scale,
multicenter
studies
are
needed
confirm
generalizability
predictive
