Frontiers in Cardiovascular Medicine,
Год журнала:
2024,
Номер
11
Опубликована: Ноя. 12, 2024
Objectives
This
study
aimed
to
investigate
the
association
between
weight-adjusted
waist
index
(WWI)
and
prevalence
of
hypertension
in
U.S.
adults.
Methods
Data
were
sourced
from
National
Health
Nutrition
Examination
Survey
(NHANES)
spanning
2005–2018.
In
our
cross-sectional
study,
we
focused
on
non-institutional
population
over
age
18
various
communities
United
States.
WWI
is
derived
by
dividing
circumference
square
root
body
weight.
The
definition
was
based
self-reported
history
hypertension,
antihypertensive
drug
use,
blood
pressure
measurements.
Participants
without
complete
information
excluded.
independent
relationship
consistency
assessed
through
weighted
multivariate
regression.
Pearson
correlation
test
used
detect
BMI.
Subgroup
analyses
verify
stability
interaction
tests
also
conducted
gender,
age,
smoking,
triglycerides.
Results
Among
37,299
participants
included,
33.9%.
After
adjusting
for
confounding
variables,
demonstrated
a
significant
with
hypertension.
Individuals
top
quarter
had
2.27fold
higher
chance
compared
bottom
(OR
=
2.27,
95%
CI
1.97–2.61;
P
<
0.0001).
analysis
highlighted
that
this
particularly
pronounced
males
aged
≤60
years.
Conclusion
findings
underscore
robust
elevated
heightened
risk
especially
Clinical and Experimental Hypertension,
Год журнала:
2024,
Номер
46(1)
Опубликована: Авг. 12, 2024
Background
Complex
interconnections
are
evident
among
gut
microbiota,
circulating
metabolites,
inflammatory
cytokines,
and
the
pathogenesis
of
abdominal
aortic
aneurysms
(AAA),
with
causal
dynamics
yet
to
be
comprehensively
elucidated.
The
primary
objective
this
study
was
elucidate
potential
relationships
involving
microbiota-mediated
plasma
AAA.
Background:
Emerging
evidence
suggests
a
significant
correlation
between
pancreatitis
and
gut
microbiota,
yet
the
causal
relationship
underlying
mechanism
remain
largely
undetermined.
Given
that
microbiota
plays
crucial
role
in
regulating
circulating
metabolites,
we
aimed
to
elucidate
how
these
interactions
impact
risk
of
acute
(AP).Methods:
Using
two-sample
Mendelian
randomization
(MR)
analysis,
investigated
links
among
plasma
AP.
Enrichment
analysis
was
performed
determine
primary
metabolite
classes
metabolic
pathways
associated
with
AP
risk.Findings:
The
MR
revealed
18
microbial
taxa
59
metabolites
effects
on
Furthermore,
mediation
identified
seven
as
potential
intermediaries
pathway
from
AP,
emphasizing
critical
carbohydrate
metabolism
via
polyol
fructolysis,
well
lipid
homeostasis,
disease's
pathogenesis.Interpretation:
Our
systematic
study
provided
comprehensive
characterization
causally
novel
mediating
microbiota's
effect
risk.
These
findings
provide
new
insights
into
microbiome-related
signatures
influencing
suggest
targets
for
future
research
intervention.Funding:
This
supported
by
Shandong
Provincial
Natural
Science
Foundation
(Grant/Award
Number:
ZR2019PH070)
Taishan
Scholars
Program
Province
China
tsqn202306374).Declaration
Interest:
authors
declare
no
competing
interests.Ethical
Approval:
Ethical
approval
informed
consent
participants
were
acquired
each
cohort
enrolled
original
GWAS
studies,
accordance
their
local
regulations
institute
requirements.
All
this
study,
based
summary-level
data
publicly
available
databases,
require
further
ethical
permit.
Constructing
a
predictive
model
for
the
occurrence
of
heart
disease
in
elderly
hypertensive
individuals,
aiming
to
provide
early
risk
identification.
A
total
934
participants
aged
60
and
above
from
China
Health
Retirement
Longitudinal
Study
with
7-year
follow-up
(2011-2018)
were
included.
Machine
learning
methods
(logistic
regression,
XGBoost,
DNN)
employed
build
predicting
patients.
Model
performance
was
comprehensively
assessed
using
discrimination,
calibration,
clinical
decision
curves.
After
older
patients,
243
individuals
(26.03%)
developed
disease.
Older
patients
baseline
comorbid
dyslipidemia,
chronic
pulmonary
diseases,
arthritis
or
rheumatic
diseases
faced
higher
future
Feature
selection
significantly
improved
compared
original
variable
set.
The
ROC-AUC
logistic
DNN
0.60
(95%
CI:
0.53-0.68),
0.64
0.57-0.71),
0.67
0.60-0.73),
respectively,
regression
achieving
optimal
calibration.
XGBoost
demonstrated
most
noticeable
benefit
as
threshold
increased.
effectively
identifies
based
on
data
CHARLS
cohort.
results
suggest
that
have
developing
This
information
could
facilitate
identification
BMC Musculoskeletal Disorders,
Год журнала:
2025,
Номер
26(1)
Опубликована: Фев. 1, 2025
It
remains
controversial
whether
lipids
affect
osteoporosis
(OP)
or
bone
mineral
density
(BMD),
and
causality
has
not
been
established.
This
study
aimed
to
investigate
the
genetic
associations
between
lipids,
novel
non-statin
lipid-lowering
drug
target
genes,
OP
BMD.
Mendelian
randomization
(MR)
method
was
used
explore
179
lipid
species
OP,
Drug-target
MR
analysis
causal
angiopoietin-like
protein
3
(ANGPTL3)
apolipoprotein
C3
(APOC3)
inhibitors
on
The
IVW
results
with
Bonferroni
correction
indicated
that
triglyceride
(TG)
(51:3)
(OR
=
1.0029;
95%
CI:
1.0014–1.0045;
P
0.0002)
TG
(56:6)
1.0021;
1.0008–1.0033;
0.0011)
were
associated
an
increased
risk
of
OP;
(51:2)
0.9543;
0.9148–0.9954;
0.0298)
decreased
BMD;
ANGPTL3
inhibitor
1.1342;
1.0393–1.2290;
0.0093)
APOC3
1.0506;
1.0155–1.0857;
0.0058)
genetically
predicted
TGs
showed
have
potential
serve
as
targets
treat
prevent
OP.
Medicine,
Год журнала:
2025,
Номер
104(7), С. e41431 - e41431
Опубликована: Фев. 14, 2025
This
study
examines
the
causal
relationship
between
type
2
diabetes
(T2D)
and
peripheral
artery
disease
(PAD)
their
potential
mechanisms
based
on
analysis
of
Gene
Expression
Omnibus
database
2-sample
Mendelian
randomization
(MR).
The
first
part
involved
a
MR
comprehensive
meta-analysis.
Differences
in
results
were
assessed
using
inverse-variance
weighting.
Heterogeneity
was
examined
Cochrane
Q
statistical
test.
leave-one-out
method
applied
for
sensitivity
analysis.
horizontal
pleiotropic
effect
MR-Egger
intercept
technique.
second
differential
gene
weighted
coexpression
network
Subsequently,
we
overlapped
consolidated
from
parts
to
identify
key
genes
them.
suggested
statistically
significant
correlation
incidence
PAD
T2D
(odds
ratio:
1.22,
95%
confidence
interval:
1.13–1.32,
P
=
3.74e−07).
We
anticipated
pivotal
role
TCF7L2
T2D.
significantly
associated
with
risk.
Simultaneously,
deepened
our
understanding
underlying
both
diseases,
proposing
as
promising
target.
Metabolites,
Год журнала:
2025,
Номер
15(3), С. 170 - 170
Опубликована: Март 2, 2025
Background:
Significant
sex
differences
exist
in
atrial
fibrillation
(AF).
Better
understanding
of
its
underlying
mechanism
would
help
AF
management.
This
study
aimed
to
investigate
the
contribution
circulating
metabolites
and
association
between
them.
Methods:
A
total
108
patients
with
were
enrolled.
Untargeted
metabolomics
performed
plasma
samples
male
female
patients.
Correlation
analysis
clinical
characteristics
Mendelian
randomization
used
identify
sex-specific
associated
AF,
which
was
further
validated
additional
Transcriptomics
data
left
atrium
molecular
alteration
responding
identified
metabolites.
The
effect
selected
on
cardiomyocytes
investigated.
Results:
60
annotated
found
different
levels
Among
these
metabolites,
three
7-Methylguanosine,
succinic
acid,
N-Undecylbenzenesulfonic
positively
related
remodeling.
Additionally,
acid
significantly
increased
risk
(OR
=
1.26;
95%
CI:
1.13
1.40;
p
<
0.001).
And,
SUCLA2,
gene
metabolism,
(fold
change
1.53;
0.008).
Treatment
led
cardiomyocyte
hypertrophy
mitochondrial
dysfunction.
Conclusions:
highlights
identifies
associations
AF.
is
much
higher
patients,
contributes
process
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Март 7, 2025
Abstract
Purpose:
The
purpose
of
this
study
was
to
find
metabolic
changes
associated
with
incident
hypertension
in
the
volunteer-based
Estonian
Biobank.
Methods:
We
used
a
subcohort
Biobank
where
metabolite
levels
had
been
measured
by
mass-spectrometry
(LC-MS,
Metabolon
platform).
divided
annotated
metabolites
989
individuals
into
KEGG
pathways,
followed
principal
component
analysis
each
pathway,
resulting
dataset
91
pathway
components.
Next,
we
defined
cases
and
controls
based
on
electronic
health
records,
101
450
controls.
Cox
proportional
hazards
models
replicated
results
separate
cohort
Biobank,
assayed
LC-MS
Broad
platform
including
582
individuals.
Results:
Our
show
that
body
mass
index
carbon
metabolism
are
both
discovery
replication
cohorts.
Conclusion:
demonstrate
high-dimensional
can
be
meaningfully
reduced
informative
components
subsequently
analysed
an
interpretable
way,
metabolomics
from
different
platform.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 12, 2025
Abstract
The
purpose
of
this
study
was
to
find
metabolic
changes
associated
with
incident
hypertension
in
the
volunteer-based
Estonian
Biobank.
We
used
a
subcohort
Biobank
where
metabolite
levels
had
been
measured
by
mass-spectrometry
(LC-MS,
Metabolon
platform).
divided
annotated
metabolites
989
individuals
into
KEGG
pathways,
followed
principal
component
analysis
each
pathway,
resulting
dataset
91
pathway
components.
Next,
we
defined
cases
and
controls
based
on
electronic
health
records,
101
450
controls.
Cox
proportional
hazards
models
replicated
results
separate
cohort
Biobank,
assayed
LC-MS
Broad
platform
including
582
individuals.
Our
show
that
body
mass
index
carbon
metabolism
are
both
discovery
replication
cohorts.
demonstrate
high-dimensional
can
be
meaningfully
reduced
informative
components
subsequently
analysed
an
interpretable
way,
metabolomics
from
different
platform.