Elucidating emerging signaling pathways driving endothelial dysfunction in cardiovascular aging
Vascular Pharmacology,
Год журнала:
2025,
Номер
unknown, С. 107462 - 107462
Опубликована: Янв. 1, 2025
Язык: Английский
Global, regional, and national burden of heart failure and its underlying causes, 1990–2021: results from the global burden of disease study 2021
Biomarker Research,
Год журнала:
2025,
Номер
13(1)
Опубликована: Янв. 23, 2025
Abstract
Background
Heart
failure
(HF)
remains
a
significant
public
health
challenge
globally.
This
study
aims
to
systematically
analyze
the
global
HF
disease
burden
from
1990
2021
across
temporal,
spatial,
and
demographic
dimensions
provide
evidence
for
targeted
prevention
control
strategies.
Methods
Using
data
Global
Burden
of
Disease
(GBD)
study,
we
analyzed
through
prevalent
cases,
years
lived
with
disability
(YLDs),
age-standardized
rates
per
100,000
population.
Temporal
trends
were
evaluated
using
estimated
annual
percentage
change
(EAPC)
joinpoint
regression
analysis.
The
relationship
between
Socio-demographic
Index
(SDI)
was
explored
Pearson
correlation
analysis,
while
attribution
analysis
identified
main
causes
HF.
When
appropriate,
analyses
stratified
by
5
SDI
regions,
21
GBD
204
countries
territories,
20
age
groups,
both
sexes.
Results
prevalence
YLDs
showed
substantial
increases
2021,
increasing
641.14
676.68
Notably,
high-SDI
regions
exhibited
declining
since
2019,
indicating
potential
turning
point.
High-income
North
America
bears
heaviest
South
Asia
shows
fastest
growth
rate.
level
negligible.
in
males
consistently
exceeded
that
females,
rising
sharply
after
60.
their
attributable
proportions
were:
ischemic
heart
(34.53%),
hypertensive
(22.53%),
other
cardiomyopathies
(7.61%),
chronic
obstructive
pulmonary
(6.51%),
congenital
anomalies
(5.69%),
distribution
patterns
differing
groups
regions.
Conclusion
increased
significantly
over
recent
decades,
point
2019
marked
regional
disparities.
It
is
essential
prioritize
heavy
burdens
or
rapid
rates,
strengthen
management
major
causes,
monitor
post-COVID
era.
Язык: Английский
IL-11 promotes Ang II-induced autophagy inhibition and mitochondrial dysfunction in atrial fibroblasts
Open Life Sciences,
Год журнала:
2025,
Номер
20(1)
Опубликована: Янв. 1, 2025
Abstract
This
study
aimed
to
investigate
potential
targets
for
the
pathogenesis
of
atrial
fibrillation
facilitate
development
effective
treatments.
Atrial
fibroblasts
were
isolated
and
stimulated
with
1
μM
angiotensin-II
(Ang-II)
24
h.
To
increase
interleukin
11
(IL-11)
expression,
overexpression
plasmids
transfected
into
fibroblasts.
The
role
underlying
mechanism
IL-11
in
examined
by
immunofluorescence,
measurements
reactive
oxygen
species
(ROS)
mitochondrial
membrane
(MMP),
western
blotting
assays.
Results
demonstrated
that
was
upregulated
Ang-II-elicited
Ang-II
treatment
increases
alpha-smooth
muscle
actin
(α-SMA),
ROS
MMP
levels,
p62
expression
but
decreases
microtubule-associated
protein
light
chain
3
II/I
(LC3
II/I)
Beclin-1
expressions
These
effects
further
amplified
overexpression.
Mechanistically,
mammalian
target
rapamycin
(mTOR)
pathway
enhanced
Ang-II-induced
fibroblasts,
which
elevated
upregulation.
facilitates
Ang
II-induced
differentiation
myofibroblasts
promoting
oxidative
stress,
dysfunction,
autophagy
inhibition
through
mTOR
pathway.
Язык: Английский
Epigenetic mechanisms underlying the beneficial effects of cardiac rehabilitation. An overview from the working groups of “cellular and molecular biology of the heart” and “cardiac rehabilitation and cardiovascular prevention” of the Italian Society of Cardiology (SIC)
International Journal of Cardiology,
Год журнала:
2025,
Номер
unknown, С. 133166 - 133166
Опубликована: Март 1, 2025
Язык: Английский
Development and validation of an integrated prognostic model for all-cause mortality in heart failure: a comprehensive analysis combining clinical, electrocardiographic, and echocardiographic parameters
BMC Cardiovascular Disorders,
Год журнала:
2025,
Номер
25(1)
Опубликована: Март 26, 2025
Accurate
risk
prediction
in
heart
failure
remains
challenging
due
to
its
complex
pathophysiology.
We
aimed
develop
and
validate
a
comprehensive
prognostic
model
integrating
demographic,
electrocardiographic,
echocardiographic,
biochemical
parameters.
conducted
retrospective
cohort
study
of
445
patients.
The
was
randomly
divided
into
training
(n
=
312)
validation
133)
sets.
Feature
selection
performed
using
LASSO
regression
followed
by
backward
stepwise
Cox
regression.
A
nomogram
constructed
based
on
independent
predictors.
Model
performance
assessed
through
discrimination,
calibration,
decision
curve
analyses.
Random
survival
forest
analysis
variable
importance.
During
median
follow-up
4.14
years,
142
deaths
(31.91%)
occurred.
Our
development
systematic
approach:
initial
feature
identified
15
potential
predictors,
which
were
further
refined
nine
predictors
final
included
age,
NYHA
class,
left
ventricular
systolic
dysfunction,
atrial
septal
defect,
aortic
valve
annulus
calcification,
tricuspid
regurgitation
severity,
QRS
duration,
T
wave
offset,
NT-proBNP.
integrated
demonstrated
good
discrimination
for
2-,
3-,
5-year
mortality
both
(AUCs:
0.726,
0.755,
0.809)
cohorts
0.686,
0.678,
0.706).
Calibration
plots
analyses
confirmed
the
model's
reliability
clinical
utility
across
different
time
horizons.
individualized
prediction.
Kaplan-Meier
individual
revealed
significant
stratification
outcomes,
while
restricted
cubic
spline
non-linear
relationships
between
continuous
variables
risk.
top
five
(age,
NT-proBNP,
NYHA),
compared
with
our
nine-variable
model,
confirming
superior
all
points.
showed
robust
predicting
all-cause
ability
provide
estimates
may
facilitate
decision-making
patient
stratification.
Not
applicable.
Язык: Английский
Mitigating Diabetic Cardiomyopathy: The Synergistic Potential of Sea Buckthorn and Metformin Explored via Bioinformatics and Chemoinformatics
Biology,
Год журнала:
2025,
Номер
14(4), С. 361 - 361
Опубликована: Март 31, 2025
Diabetic
cardiomyopathy
(DCM),
a
critical
complication
of
type
2
diabetes
mellitus
(T2DM),
is
marked
by
metabolic
dysfunction,
oxidative
stress,
and
chronic
inflammation,
ultimately
progressing
to
heart
failure.
This
study
investigated
the
synergistic
therapeutic
potential
Hippophae
rhamnoides
L.
(sea
buckthorn,
SBU)
extract
metformin
in
mouse
model
T2DM-induced
DCM.
T2DM
was
induced
using
45%
high-fat-AGEs-enriched
diet,
followed
treatment
with
SBU,
metformin,
or
their
combination.
Treatment
effects
were
monitored
through
bioinformatic
analysis,
chemoinformatic
prediction,
behavioral
testing,
biochemical
assays,
histopathological
evaluations
gene
expression
profiles.
Based
on
we
identified
key
hub
genes
involved
diabetic
including
SERPINE1,
NRG1,
MYH11,
PTH,
NR4A2,
NRF2,
PGC1α,
GPX4,
ATF1,
ASCL2,
NOX1,
NLRP3,
CCK8,
COX2,
CCL2,
PTGS2,
EGFR,
oncostatin,
which
are
pivotal
modulating
ferroptosis
pathway.
Furthermore,
long
non-coding
RNAs
(lncRNAs)
NEAT1
MALAT1,
regulators
inflammation
cell
death,
effectively
downregulated,
correlating
decreased
levels
pro-inflammatory
marker
oncostatin.
The
combined
therapy
significantly
improved
glucose
regulation,
reduced
systemic
protected
from
damage.
Histopathological
analysis
revealed
notable
reductions
cardiac
necrosis
fibrosis.
Particularly,
combination
SBU
demonstrated
effect,
surpassing
benefits
individual
treatments
preventing
These
findings
highlight
integrating
as
novel
strategy
for
managing
DCM
targeting
both
ferroptosis-related
pathways.
dual
intervention
opens
promising
avenues
future
clinical
applications
disease
management,
offering
comprehensive
approach
mitigating
progression
Язык: Английский
A machine learning tool for identifying newly diagnosed heart failure in individuals with known diabetes in primary care
ESC Heart Failure,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 20, 2024
Abstract
Aims
We
aimed
to
create
a
predictive
model
utilizing
machine
learning
(ML)
identify
new
cases
of
congestive
heart
failure
(CHF)
in
individuals
with
diabetes
primary
health
care
(PHC)
through
the
analysis
diagnostic
data.
Methods
used
sex‐
and
age‐matched
case–control
design.
Cases
CHF
were
identified
across
all
outpatient
settings
2015–2022
(
n
=
9098).
included
30
years
above,
by
sex
age
groups
30–65
>65
years.
The
controls
(five
per
case)
sampled
from
without
at
any
time
between
2010
2022,
total
45
490.
From
stochastic
gradient
boosting
(SGB)
technique
model,
we
obtained
rank
10
most
important
factors
related
newly
diagnosed
diabetes,
normalized
relative
influence
(NRI)
score
corresponding
odds
ratio
marginal
effects
(OR
ME
).
Area
under
curve
(AUC)
was
calculated.
Results
For
women
years,
488
3240
CHF,
respectively,
men
1196
4174
cases.
Among
four
(divided
lower
higher
age)
for
found
number
visits
12
months
before
diagnosis
(NRI
44.3%–55.9%),
coronary
artery
disease
2.9%–7.8%),
atrial
fibrillation
flutter
6.6%–12.2%)
‘abnormalities
breathing’
(ICD‐10
code
R06)
2.6%–4.4%)
groups.
younger
women,
COPD
2.7%)
contributed
effect,
while
older
oedema
3.1%)
3.5%)
effect.
both
groups,
chronic
renal
had
effect
3.9%–5.1%)
prediction
among
patients
high,
AUC
around
0.85
sensitivity
over
0.783
specificity
0.708
Conclusions
An
SGB
using
routinely
collected
data
about
diagnoses
care,
can
accurately
predict
risk
diabetes.
Age
difference
warrant
further
examination.
Язык: Английский
Senolytics rejuvenate aging cardiomyopathy in human cardiac organoids
Mechanisms of Ageing and Development,
Год журнала:
2024,
Номер
unknown, С. 112007 - 112007
Опубликована: Ноя. 1, 2024
Язык: Английский
Association between triglyceride-glucose index and cardiovascular disease in US adults with chronic kidney disease: a population-based study
BMC Cardiovascular Disorders,
Год журнала:
2024,
Номер
24(1)
Опубликована: Дек. 20, 2024
Triglyceride-glucose
(TyG)
index,
which
is
a
valuable
measure
of
insulin
resistance,
has
been
found
to
have
predictive
value
for
cardiovascular
disease
(CVD).
However,
its
relationship
with
CVD
among
individuals
chronic
kidney
(CKD)
not
thoroughly
investigated.
This
study
focused
on
examining
the
TyG
index
and
CKD
patients
in
United
States.
3507
eligible
participants
from
National
Health
Nutrition
Examination
Survey
(2003–2018)
were
surveyed
this
study.
Methods
such
as
multivariable
logistic
regression
analysis
smooth
curve
fitting
employed
estimate
how
linked
populations.
Subgroup
interaction
analyses
conducted
order
figure
out
potential
moderating
effects
various
factors.
In
cross-sectional
based
population
CKD,
29.5%
also
had
CVD.
An
independent
positive
link
was
revealed
(OR
1.213,
95%
CI
1.059,
1.389).
association
nonlinear,
threshold
effect
observed
at
8.98.
The
results
subgroup
suggested
that
relationships
differed
according
stage:
1.048,
0.857,
1.282)
stages
1–2;
1.267,
1.030–1.560)
stage
3;
2.131,
1.224–3.709)
4–5.
Interaction
further
stage.
Additionally,
specific
types,
only
coronary
heart
(CHD)
significant
1.617,
1.123,
2.327).
identified
be
independently
positively
related
likelihood
CVD,
specifically
populations
an
eGFR
<
60
mL/min/1.73
m².
effect.
highlight
tool
screening
risk
assessment
suffering
warranting
investigation.
Язык: Английский