Familial
hypercholesterolemia
(FH)
is
a
lipoprotein
disorder
characterized
by
elevated
plasma
levels
of
low-density
cholesterol
(LDL-C)
and
an
increased
risk
premature
atherosclerotic
cardiovascular
disease.
Recent
evidences
have
shown
that
several
glycerophospholipid
species
were
markedly
altered
in
experimental
FH
animals
exhibited
diverse
bioactivities.
Nevertheless,
the
profiles
their
associated
biological
implications
human
remain
largely
unknown.
In
this
study,
we
sought
to
comprehensively
delineate
phenotypes
investigate
functional
roles
key
FH-altered
molecules
on
metabolism.
Targeted
analysis
328
metabolites
was
used
profile
differentiated
alterations
patients
with
homozygous
(HoFH;
n
=
181),
heterozygous
(HeFH;
452),
non-FH
(
382).
Our
findings
revealed
dominated
spectrum
involved
lysophosphatidic
acid
(LPA)
Among
LPA
features,
palmitoyl-LPA
(16:0)
showed
significant
association
clinical
LDL-C
total
HoFH
HeFH
populations.
Using
metabolomic
strategy
murine
model,
demonstrated
supplementation
16:0
LDL
free/esterified
exacerbated
lesions.
Conversely,
inhibition
autotaxin-mediated
production
significantly
ameliorated
dyslipidemia.
Mechanistically,
uncovered
could
disrupt
hepatic
homeostasis
impairing
excretion
inhibiting
primary
bile
synthesis.
summary,
our
study
offers
novel
insights
into
lipid
metabolism
posits
targeting
may
represent
promising
therapeutic
for
reducing
population.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 3, 2025
Accurate
prediction
of
cardiovascular
disease
(CVD)
mortality
is
essential
for
effective
treatment
decisions
and
risk
management.
Current
models
often
lack
comprehensive
integration
key
biomarkers,
limiting
their
predictive
power.
This
study
aims
to
develop
a
model
CVD-related
using
machine
learning-based
feature
selection
algorithm
assess
its
performance
compared
existing
models.
We
analyzed
data
from
cohort
4,882
adults
recruited
between
1999
2004,
followed
up
20
years.
After
applying
the
Boruta
selection,
biomarkers
including
NT-proBNP,
cardiac
troponins,
homocysteine
were
identified
as
significant
predictors
CVD
mortality.
Predictive
built
these
alongside
demographic
clinical
variables.
Model
was
evaluated
concordance
index
(C-index),
sensitivity,
specificity,
accuracy,
with
internal
validation
conducted
through
bootstrap
sampling.
Additionally,
decision
curve
analysis
(DCA)
performed
benefit.
The
combined
model,
incorporating
both
variables,
demonstrated
superior
C-index
0.9205
(95%
CI:
0.9129–0.9319),
outperforming
variables
alone
(C-index:
0.9030
0.8938–0.9147))
or
0.8659
0.8519–0.8826)).
Cox
regression
further
mortality,
elevated
AST/ALT,
TyG,
BUN,
systolic
blood
pressure,
protective
factors
such
higher
chloride
iron
levels.
Nomogram
construction
DCA
confirmed
that
provided
substantial
net
benefit
across
various
time
points.
lipid
profiles,
inflammatory
markers
significantly
improves
accuracy
novel
approach
offers
enhanced
prognostication,
potential
optimization
inclusion
additional
lifestyle
data.
Frontiers in Cardiovascular Medicine,
Journal Year:
2025,
Volume and Issue:
12
Published: March 10, 2025
Background
Emerging
genetic
and
observational
evidence
indicates
that
remnant
cholesterol
(RC)
is
a
significant
residual
risk
factor
for
cardiovascular
diseases.
However,
there
relative
paucity
of
exploring
the
correlation
among
RC,
lipid
ratios,
atherosclerotic
lesion
severity.
This
study
aimed
to
investigate
predictive
value
RC
ratios
alone
or
in
combination
severity
coronary
artery
stenosis
patients
with
heart
disease
(CHD).
Methods
The
Gensini
score
was
used
assess
lesions.
CHD
were
categorized
into
mild
moderate-to-severe
groups.
Logistic
regression
evaluate
high
associated
ratios.
Our
also
examined
relationship
between
inconsistencies
non-high-density
lipoprotein
(non-HDL-C)
levels
stenosis.
Receiver
operating
characteristic
(ROC)
curves
power
moderate
severe
Results
Multivariate
models
suggested
strong
predictor
[odds
ratio
(OR):
5.44,
P
<
0.001].
When
grouped
by
curve-fitting
inflection
points,
group
inconsistent
RC/low
non-HDL-C,
rather
than
low
RC/high
non-HDL-C
group,
an
increased
compared
consistent
(OR:
2.72,
0.001).
ROC
showed
predicted
area
under
curve
(AUC)
0.715
severity,
improving
efficacy
combined
predictors
comprising
(AUC:
0.723
vs.
0.703,
0.05).
Conclusions
various
[triglyceride/HDL-C,
total
cholesterol/HDL-C,
low-density
apoloprotein
(apo)B/apoA]
correlated
degree
CHD,
suggesting
has
potential
as
biomarker
reflecting
independent
traditional
factors
non-HDL-C.
could
enhance
based
on
model
had
better
Lipids in Health and Disease,
Journal Year:
2025,
Volume and Issue:
24(1)
Published: March 25, 2025
The
established
association
between
the
non-high-density
lipoprotein
cholesterol
to
high-density
ratio
(NHHR)
and
cardiovascular
disease
(CVD)
risk
has
been
well-documented.
Nevertheless,
relationship
changes
in
NHHR
CVD
events
remains
be
elucidated.
present
study
aims
clarify
correlation
change
patterns
incidence
of
across
a
broad
population.
current
recruited
participants
from
China
Health
Retirement
Longitudinal
Study
(CHARLS).
index
was
calculated
using
formula:
=
(TC-HDL-c)/HDL-c.
Temporal
were
assessed
with
latent
profile
analysis,
cumulative
also
evaluated.
Multivariable
Cox
proportional
hazards
regression
models
multivariate-adjusted
restricted
cubic
spline
(RCS)
analyses
employed
examine
incident
CVD.
A
total
4,629
individuals
for
study.
average
age
57.47
years,
53.7%
being
female.
Over
follow-up
period,
879
cases
documented.
Compared
lowest
tertile,
those
highest
tertile
both
baseline
exhibited
significantly
increased
CVD,
adjusted
hazard
ratios
(HRs)
1.43
(95%
confidence
interval
[CI]:
1.21–1.70)
1.45
CI:
1.23–1.72),
respectively.
Participants
classified
Class
2
demonstrated
27%
higher
while
3
showed
41%
greater
compared
1
group.
Further
analysis
revealed
that
this
linear.
Stratified
corroborated
primary
findings.
Baseline
NHHR,
are
associated
an
among
aged
45
years
older,
thereby
confirming
their
potential
as
valuable
tools
stratification
Frontiers in Cardiovascular Medicine,
Journal Year:
2025,
Volume and Issue:
12
Published: March 31, 2025
Background
Pediatric
cardiomyopathies
are
rare
but
life-threatening
conditions
with
high
mortality.
Limited
data
exists
on
their
clinical
features
and
risk
factors,
especially
in
Asian
populations,
highlighting
the
need
for
further
research
this
area.
Methods
This
retrospective
cohort
study
analyzed
from
212
pediatric
patients
diagnosed
hypertrophic
cardiomyopathy
(HCM),
restrictive
(RCM),
or
phenotype
(RP-HCM)
at
a
single
center
China
October
2012
to
2023,
follow-up
until
31,
2024.
Demographic,
clinical,
diagnostic
data,
as
well
outcomes,
were
reviewed.
Logistic
Cox
regression
models
identified
factors
in-hospital
long-term
Results
Among
patients,
79.72%
(169/212)
had
HCM,
16.98%
(36/212)
RCM,
3.30%
(7/212)
RP-HCM.
Infection
(75.47%,
160/212)
heart
failure
(51.42%,
109/212)
common
comorbidities.
In-hospital
mortality
was
5.19%
(11/212),
of
20.28%
(43/212).
The
independent
included
left
ventricular
ejection
fraction
(LVEF),
pulmonary
hypertension,
low-density
lipoprotein
(LDL)
levels
(
P
<
0.05).
Patients
RP-HCM
showed
poorest
rate
42.86%.
Only
10.4%
(22/212)
underwent
genetic
testing,
yet
positive
detection
63.7%
(14/22).
Conclusions
underscores
importance
early
diagnosis,
integrated
management
cardiomyopathies.
LVEF,
LDL
critical
prognostic
offering
insights
assessment
affected
children.
Environmental Health and Preventive Medicine,
Journal Year:
2025,
Volume and Issue:
30(0), P. 24 - 24
Published: Jan. 1, 2025
Low-density
lipoprotein
cholesterol
(LDLc)
is
regarded
as
a
risk
factor
for
endothelial
dysfunction.
However,
LDLc
stimulates
the
proliferation
of
hematopoietic
stem
cells
(CD34-positive
cells),
which
contribute
to
repair.
Therefore,
may
have
beneficial
influence
on
endothelium
individuals
with
lower
repair
activity.
This
cross-sectional
study
included
245
men
aged
60-69
years.
Endothelial
activity
was
categorized
by
circulating
levels
CD34-positive
based
median
values.
The
status
evaluated
using
cardio-ankle
vascular
index
(CAVI).
Among
low
cells,
LDL-c
were
significantly
inversely
correlated
CAVI
and
positively
cells.
No
significant
correlations
observed
among
participants
high
adjusted
standardized
parameter
(β)
p
value
-0.24
(p
=
0.021)
0.41
<
0.001)
whereas
corresponding
values
0.03
0.738)
-0.09
0.355).
has
health
activity,
possibly
stimulating