Frontiers in Cardiovascular Medicine,
Journal Year:
2025,
Volume and Issue:
12
Published: May 14, 2025
Background
Cardiovascular
disease
(CVD)
is
a
leading
cause
of
death
and
disability
worldwide.
Available
studies
suggest
that
inflammation
nutritional
status
play
key
role
in
the
development
CVD.
As
new
combined
indicator
status,
neutrophil
percentage-to-albumin
ratio
(NPAR)
may
be
important
CVD
prediction.
Objective
This
study
investigated
association
between
NPAR
CVDs
such
as
heart
failure,
coronary
disease,
angina
pectoris,
stroke.
It
aimed
to
confirm
validity
potential
biomarker
using
data
from
National
Health
Nutrition
Examination
Survey
(NHANES).
Methods
used
cross-sectional
design
analyzed
percentage,
albumin
levels,
diagnostic
information
12,165
adults.
Multifactorial
logistic
regression
modeling
was
employed
explore
stroke,
while
nonlinear
relationships
were
examined
via
restricted
cubic
spline.
In
addition,
subgroup
analyses
performed
assess
effect
age,
sex,
race
on
Results
Our
findings
suggested
higher
levels
significantly
associated
with
an
increased
odds
events.
Specifically,
each
unit
increase
3%
event
(OR
=
1.03,
95%
CI:
1.01–1.06).
Individuals
highest
quartile
displayed
failure
1.66,
1.18–2.34,
p
0.0035)and
stroke
1.74,
1.28–2.36,
0.0004)
than
those
lowest
quartile.
Subgroup
showed
more
pronounced
women
1.04,
1.00–1.08,
0.0499),
hypertensive
patients
1.01–1.07,
0.0154),
diabetic
1.05,
1.01–1.09,
0.0178).
Conclusion
The
demonstrated
comprehensive
could
effectively
predict
occurrence.
Although
clinical
application
value
requires
further
validation,
it
shows
promise
novel
for
early
screening
prevention.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: April 4, 2024
Background
Sarcopenia,
common
in
the
elderly,
often
linked
to
chronic
diseases,
correlates
with
inflammation.The
association
between
SII
and
mortality
sarcopenia
patients
is
underexplored,
this
study
investigates
relationship
a
U.S.
adult
cohort.
Methods
We
analyzed
1999–2018
NHANES
data,
focusing
on
2,974
adults
sarcopenia.
Mortality
outcomes
were
determined
by
linking
National
Death
Index
(NDI)
records
up
December
31,
2019.
Using
weighted
sampling
design,
participants
grouped
into
three
groups
Systemic
Immune-Inflammation
(SII).
used
Cox
regression
models,
adjusting
for
demographic
clinical
variables,
explore
SII’s
all-cause
cause-specific
sarcopenia,
performing
sensitivity
analyses
robustness.
Results
Over
median
follow-up
of
9.2
years,
829
deaths
occurred.
Kaplan-Meier
analysis
showed
significant
survival
differences
across
groups.
The
highest
group
higher
hazard
ratios
(HRs)
both
crude
adjusted
models.
had
HR
all-cause(1.57,
1.25–1.98),
cardiovascular(1.61,
1.00–2.58),
cancer(2.13,
1.32–3.44),
respiratory
disease
mortality(3.21,
1.66–6.19)
fully
Subgroup
revealed
various
demographics,
including
age,
gender,
presence
diabetes
or
cardiovascular
disease.
Sensitivity
analyses,
excluding
those
who
died
within
two
years
follow-up,
under
45
largely
reflected
these
results,
consistently
demonstrating
HRs
all
types
unadjusted
Conclusion
Our
first
demonstrate
increased
risks
population.
Arthritis Research & Therapy,
Journal Year:
2024,
Volume and Issue:
26(1)
Published: April 17, 2024
Abstract
Background
The
association
between
osteoarthritis
(OA)
and
hypertension
is
a
subject
of
ongoing
debate
in
observational
research,
the
underlying
causal
relationship
them
remains
elusive.
Methods
This
study
retrospectively
included
24,871
participants
National
Health
Nutrition
Examination
Survey
(NHANES)
from
2013
to
2020.
Weighted
logistic
regression
was
performed
investigate
connection
OA
hypertension.
Additionally,
Mendelian
randomization
(MR)
analysis
conducted
explore
potential
Results
In
NHANES
data,
after
adjusting
for
multiple
confounding
factors,
there
no
significant
(OR
1.30,
95%
CI,
0.97–1.73,
P
=
0.089).
However,
among
males,
appeared
be
associated
with
higher
risk
2.25,
1.17–4.32,
0.019).
Furthermore,
MR
results
indicate
phenotypes
hypertension:
knee
(IVW,
OR
1.024,
CI:
0.931–1.126,
0.626),
hip
0.990,
0.941–1.042,
0.704),
or
1.005,
0.915–1.105,
0.911),
UK
Biobank
0.796,
0.233–2.714,
0.715).
Importantly,
these
findings
remained
consistent
across
different
genders
reverse
MR.
Conclusions
Our
found
that
patients
had
only
males
study.
did
not
uncover
any
Microbiology Spectrum,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 11, 2025
Patients
with
Mycoplasma
pneumoniae
(MP)
infections
have
markedly
higher
C-reactive
protein
(CRP).
We
investigated
how
CRP
contributes
to
lung
epithelial
cell
death
following
MP
infection.
levels
were
assessed
in
children
diagnosed
pneumonia
(MPP)
and
A549
cells
infected
MP.
genetically
modified
overexpress
CRP.
Effects
on
viability,
apoptosis,
reactive
oxygen
species
(ROS)
mitochondrial
membrane
potential
(ΔΨm)
evaluated.
The
expression
of
proteins
implicated
the
p38
MAPK/mitochondrial
apoptotic
pathway
was
analyzed.
protective
effects
MAPK
inhibitor
SB203580
protector
cyclosporin
A
(CsA)
assessed.
elevated
both
MPP
patients
MP-infected
compared
controls.
Increased
apoptosis
reduced
viability
observed
cells.
overexpression
led
upregulation
pathway,
increased
cytoplasmic
Cyt
C,
decreased
Tom
20
ΔΨm,
ROS.
Pretreatment
or
posttreatment
CsA
damage
enhanced
survival.
during
infection
promote
by
activating
pathway.
Targeting
this
could
offer
therapeutic
reduce
patients.IMPORTANCEThis
study
provides
critical
information
understanding
pathophysiological
mechanisms
for
concerning
mediating
injury.
This
outlines
significant
increase
shows
its
direct
involvement
through
By
explaining
possibility
targeting
connected
signaling
devise
interventions
amelioration
is
brought
light.
implications
such
data
are
not
merely
added
knowledge
disease
pathobiology
but
also
it
brings
new
promise
novel
intervention
strategies
result
improved
clinical
outcomes.
elucidation
specific
molecular
targets
inside
heralds
a
area
regarding
direction
future
research
application
humanity
general
broader
relevance
impact
respiratory
diseases.
Current Issues in Molecular Biology,
Journal Year:
2024,
Volume and Issue:
46(9), P. 9503 - 9522
Published: Aug. 29, 2024
Atherosclerosis
is
a
chronic
inflammatory
disease
that
causes
degenerative
and
productive
changes
in
the
arteries.
The
resulting
atherosclerotic
plaques
restrict
vessel
lumen,
causing
blood
flow
disturbances.
Plaques
are
formed
mainly
large-
medium-sized
arteries,
usually
at
bends
forks
where
there
turbulence
flow.
Depending
on
their
location,
they
can
lead
to
various
states
such
as
myocardial
infarction,
stroke,
renal
failure,
peripheral
vascular
diseases,
or
sudden
cardiac
death.
In
this
work,
we
reviewed
literature
early
detection
of
atherosclerosis
markers
application
photodynamic
therapy
atherosclerosis-related
diseases.
Herein,
described
roles
C-reactive
protein,
insulin,
osteopontin,
osteoprotegerin,
copeptin,
TGF-β
cytokine
family,
amino
acid
homocysteine.
Also,
discuss
role
microelements
iron,
copper,
zinc,
Vitamin
D
promoting
formation
plaque.
Dysregulation
administered
compounds
associated
with
an
increased
risk
atherosclerosis.
Additionally,
taking
into
account
pathophysiology
plaque
formation,
believe
maintaining
homeostasis
range
biomarkers
mentioned
article
crucial
for
slowing
down
process
development
stability
already
formed.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 6, 2024
Abstract
Mendelian
randomization
(MR)
is
an
approach
to
causal
inference
that
utilises
genetic
variants
obtain
estimates
of
the
effect
exposure
on
outcome
in
presence
unobserved
confounding.
MR
relies
a
set
assumptions
unbiased
estimates,
one
these
there
no
pathway
from
does
not
act
through
exposure.
Increasing
genome-wide
association
study
(GWAS)
sample
sizes
for
enables
discovery
instrumental
variables
with
smaller
sizes.
We
illustrate
simulations
how
could
arise
traits
have
greater
liability
confound
exposure-outcome
relationship.
When
such
are
selected
as
instruments
this
can
bias
estimate
obtained
instrument
same
direction
confounded
observational
but
larger
magnitude.
Through
simulation
we
total
increases
across
range
standard
estimation
methods
proportion
associated
confounder
increases.
However,
if
heritable
confounders
known
and
be
instrumented,
free
applying
pre-estimation
filtering
methods,
removing
explain
more
variation
than
exposure,
or
by
estimating
effects
multivariable
MR.
highlight
potential
SNPs
identified
GWAS
examination
recent
C-Reactive
Protein.
Finally,
our
age
at
menarche
type
2
diabetes,
hypothesising
may
biased
confounding
due
inclusion
early
life
adiposity
instruments.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(14), P. 7766 - 7766
Published: July 16, 2024
Cardiovascular
diseases
(CVDs)
remain
the
leading
cause
of
death
worldwide
with
coronary
artery
disease
(CAD)
being
first
culprit
in
this
group.
In
terms
CAD,
not
only
its
presence
but
also
severity
plays
a
role
patient’s
treatment
and
prognosis.
CAD
complexity
can
be
assessed
indicator
named
SYNTAX
score
(SS).
A
higher
SS
is
associated
major
adverse
cardiovascular
event
(MACE)
occurrence
short-
long-term
observations.
Hence,
risk
factors
affecting
based
on
results
may
help
lower
among
patients
already
developed
to
reduce
their
impact
atherosclerosis
progression.
The
well-established
are
consistent
those
plaque
burden.
However,
recently,
it
was
shown
that
new
indicators
exist,
which
we
present
paper,
significantly
contribute
such
as
inflammatory
parameters,
C-reactive
protein
(CRP),
ratios
blood
smear
results,
uric
acid.
Moreover,
microbiota
alteration,
vitamin
D
deficiency,
obstructive
sleep
apnea
(OSA)
predicted
severity.
sometimes,
certain
were
revealed
significant
chronic
syndromes
(CCSs)
or
specific
acute
(ACSs).
Importantly,
there
need
apply
interdisciplinary
translational
approach
novel
assessment
maximize
secondary
prevention
at
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(2), P. 506 - 506
Published: Jan. 9, 2025
High-sensitivity
C-reactive
protein
(hs-CRP)
is
a
marker
of
systemic
inflammation
and
associated
with
developing
dyslipidemia.
However,
the
causality
between
hs-CRP
dyslipidemia
remains
unresolved.
This
study
aimed
to
investigate
relationship
concentrations
explore
potential
causal
link
using
Mendelian
randomization
(MR)
analysis.
A
nested
case–control
was
conducted
1174
participants,
genotype
data
were
analyzed
Korean
Chip.
genome-wide
association
(GWAS)
identified
rs76400217
as
suitable
instrumental
variable
(IV)
due
its
significant
(p
<
10−8).
Logistic
regression
models,
adjusted
for
confounders,
used
evaluate
An
MR
analysis
performed
two-stage
least
squares
(2SLS)
method,
IV
assess
causality.
showed
(OR
2.08,
95%
CI:
1.81–2.39,
p
0.001).
remained
after
adjusting
factors
such
age,
sex,
alcohol
consumption,
BMI.
The
confirmed
strong
associations
0.001)
in
all
but
not
statistically
significant.
Thus,
no
evidence
risk
found
population.
observed
may
be
other
contributing
rather
than
direct
cause.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 12, 2025
Abstract
Background
C-reactive
protein
(CRP)
is
a
marker
of
inflammation
associated
with
autoimmune,
cardiovascular,
and
neuropsychiatric
disorders.
However,
it
remains
unclear
whether
CRP
causally
affects
these
traits
or
if
observed
associations
result
from
reverse
causation
confounding.
Mendelian
randomization
(MR)
uses
genetic
variants
as
instrumental
variables
to
estimate
causal
effects
avoid
the
biases
present
in
observational
studies.
Prior
MR
studies
have
suggested
on
several
traits,
including
schizophrenia,
bipolar
disorder,
colorectal
cancer.
may
produce
biased
results
factors
that
confound
exposure
outcome
are
heritable,
resulting
horizontal
pleiotropy.
This
major
concern
for
CRP,
because
levels
increase
response
caused
by
wide
range
heritable
conditions.
Methods
Multivariable
(MVMR)
can
be
used
eliminate
bias
confounding
when
GWAS
summary
data
available
confounders.
In
this
study,
we
use
MVMR
12
outcomes
prior
evidence
associational
link
CRP.
We
novel
computational
pipeline
identify
broad
set
potential
confounders
between
each
trait
MRC-IEU
OpenGWAS
database.
compare
computationally
selected
univariable
using
narrower,
literature
derived
Results
find
suggests
risk-increasing
effect
coronary
artery
disease,
knee
osteoarthritis,
rheumatoid
arthritis,
protective
schizophrenia.
after
adjusting
confounders,
only
arthritis
(OR
1.18,
95%
CI
[1.07,1.31],
p=0.0010
GRAPPLE)
schizophrenia
0.87,
[0.79,0.96],
p=0.0038
remain
significant.
Additionally,
disorder
at
nominal
significance
level,
which
not
analysis.
Conclusion
These
suggest
analyses
high
confounding,
though
indeed
play
role
development
some
diseases,
potentially
mediated
its
innate
immunity.
also
high-light
automatic
confounder
selection
improve
robustness
analyses.
Key
Messages
multivariable
various
diseases
proposed
phenome-wide
Our
study
did
multiple
except
rheuma-toid
highlights
an
indicator
rather
than
factor
disease
risk,
suggesting
previous
been