Frontiers in Cardiovascular Medicine,
Journal Year:
2024,
Volume and Issue:
11
Published: May 9, 2024
Background
The
relationship
between
obstructive
sleep
apnea
syndrome
(OSAS)
and
diabetic
microangiopathy
remains
controversial.
Objective
This
study
aimed
to
use
bidirectional
two-sample
Mendelian
Randomization
(MR)
assess
the
causal
OSAS
microangiopathy.
Methods
First,
we
used
Linkage
Disequilibrium
Score
Regression(LDSC)
analysis
genetic
correlation.
Then,
MR
was
conducted
in
two
stages:
lung
function-related
indicators
(forced
vital
capacity
(FVC)
forced
expiratory
volume
1
s
(FEV1))
were
investigated
as
exposures,
with
outcome
first
stage,
tools
proxy
variables
for
measures
second
step.
Genome-wide
association
data
came
from
open
GWAS
database.
We
Inverse-Variance
Weighted
(IVW),
MR-Egger
regression,
median,
Simple
mode,
mode
effect
estimation
pleiotropy
testing.
also
performed
sensitivity
analyses
test
robustness
of
results.
Furthermore,
multivariate
mediation
analyses.
Results
In
LDSC
analysis,
found
a
correlation
OSAS,
FVC,
FEV
1,
based
on
IVW
genetically
predicted
positively
correlated
incidence
retinopathy
(DR),
kidney
disease
(DKD),
neuropathy
(DN).
subgroup
DR,
there
significant
background
(BDR)
proliferative
(PDR).
reverse
did
not
show
OSAS.
Reduced
FVC
had
potential
increased
DR
PDR.
FEV1
BDR,
PDR,
DKD.
Multivariate
showed
that
remained
after
adjusting
confounding
factors.
However,
find
mediating
Conclusion
Our
results
suggest
may
be
cause
development
microangiopathy,
associated
high
risk
providing
reference
better
understanding
prevention
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(6), P. 2389 - 2389
Published: March 7, 2025
Metabolic
syndrome
(MetS)
represents
a
huge
burden
on
the
health
system.
This
study
aimed
to
investigate
association
between
MetS
and
certain
indirect
insulin
resistance
(IR)
indicators
according
gender.
The
triglyceride–glucose
index
(TyG),
TyG–body
mass
(TyG–BMI),
TyG–waist-to-height
ratio
(TyG–WHtR),
TyG–waist
circumference
(TyG–WC),
triglyceride
high-density-lipoprotein
cholesterol
(TG/HDL-c)
recently
proposed
such
as
metabolic
score
for
IR
(MetS-IR),
TyG–neck
(TyG–NC)
TyG–neck-circumference-to-height
(TyG–NHtR)
were
evaluated
in
2594
subjects
enrolled
PREDATORR
study.
Univariate
multivariate
logistic
regression
was
performed
identify
indicators,
well
risk
factors.
participants
divided
into
two
groups,
Data
analyzed
using
SPSS
version
26.0.
TyG,
TyG–WC,
TyG–NC,
TyG–NHtR
TG/HDL-c
had
higher
values
male
group,
while
TyG–BMI,
TyG–WHtR
MetS-IR
approximately
equal
studied
but
also
statistically
significantly
(+)
vs.
(−)
(p
<
0.001).
For
both
analysis
demonstrated
that
TyG
independent
predictors
MetS.
Both
female
largest
area
under
receiver
operating
characteristic
(AUROC)
curve.
Thus,
females,
AUROC
curve
0.890;
95%
CI
0.873–0.907;
p
0.001;
cut-off
value
8.51,
with
81.4%
sensitivity
80.0%
specificity.
In
males,
0.880;
0.861–0.899;
8.69,
78.5%
84.6%
All
of
subjects.
are
predictive
factors
MetS,
regardless
subject’s
World Journal of Diabetes,
Journal Year:
2024,
Volume and Issue:
15(7), P. 1448 - 1460
Published: July 8, 2024
In
this
review
article,
we
explore
the
interplay
between
obstructive
sleep
apnea
(OSA)
and
type
2
diabetes
mellitus
(T2DM),
highlighting
a
significant
yet
often
overlooked
comorbidity.
We
delve
into
pathophysiological
links
OSA
diabetes,
specifically
how
exacerbates
insulin
resistance
disrupts
glucose
metabolism.
The
research
examines
prevalence
of
in
diabetic
patients
its
role
worsening
diabetes-related
complications.
Emphasizing
importance
comprehensive
management,
including
weight
control
positive
airway
pressure
therapy,
study
advocates
integrated
approaches
to
improve
outcomes
for
with
T2DM
OSA.
This
underscores
necessity
recognizing
addressing
care
ensure
more
effective
treatment
better
patient
outcomes.
Brain Behavior & Immunity - Health,
Journal Year:
2025,
Volume and Issue:
44, P. 100953 - 100953
Published: Jan. 23, 2025
Evidence
is
limited
regarding
the
relationship
between
sleep
factors
(self-reported
disorder
diagnosis,
subjective
difficulties,
and
duration),
patterns,
risk
of
type
2
diabetes
mellitus
(T2D).
Thus,
this
study
aims
to
investigate
factors,
T2D
using
data
from
National
Health
Nutrition
Examination
Survey
(NHANES).
A
total
14,652
individuals
aged
≥18
years
NHANES
(2005-2014)
were
enrolled
with
complete
on
T2D,
covariates.
Information
self-reported
duration
was
collected
during
in-home
visits
by
trained
interviewers
Computer-Assisted
Personal
Interviewing
system.
The
pattern
derived
scoring
three
mentioned
factors:
no
7-9
h
classified
as
low-risk
(score
0),
while
presence
or
<7
>9
high-risk
1).
Cumulative
scores
range
0
3,
indicating
a
healthy
pattern,
1
an
intermediate
2-3
poor
respectively.
Weighted
logistic
regression
conducted
assess
association
patterns
T2D.
Self-reported
diagnosis
(odds
ratio
(OR)
=
1.32,
P
0.01),
difficulties
(OR
1.29,
0.001),
deprivation
(<7
h;
OR
1.20,
0.01)
significantly
positive
Poor
also
increased
1.52,
<
0.0001).
Moreover,
subgroup
analyses
stratified
age
BMI
(body
mass
index)
further
confirmed
that
consistent
robust
across
groups.
Our
findings
indicate
poorer
are
associated
These
results
emphasize
importance
management
in
prevention.
Further
prospective
studies
needed
causal
bidirectional
risk,
well
underlying
molecular
mechanisms.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 26, 2025
Abstract
To
evaluate
the
correlation
between
various
sleep
and
risk
of
NAFLD\MAFLD\MASLD.
This
study
included
4772
subjects
from
National
Health
Nutrition
Examination
Survey
data
2017
to
2020.
Poor
factors
were
defined
as:
①abnormal
duration
(<
7
h
or
>
8
h);
②snoring;
③sleep
apnea;
④self-reported
disorder;
⑤
daytime
sleepiness.
The
frequency
each
factor
was
scored,
scores
all
components
summed
obtain
a
score
ranging
0
12.
higher
score,
less
healthy
pattern.
Then
we
divided
overall
pattern
into
mild
(sleep
0–3
points),
moderate
4–7
points)
severe
8–12
according
distribution
scores.
Multiple
logistic
regression
restricted
cubic
spline
graph
analysis
used
determine
association
In
Model
1
2,
as
continuous
categorical
variable
had
an
effect
on
NAFLD\MAFLD\MASLD(
p
<
0.05
).
NAFLD\MAFLD\MASLD
in
with
patterns
(
Snoring
sleepy
during
day
associated
We
then
drew
plot
found
that
nonlinearly
MAFLD\MASLD
0.01
),
lower
when
7.5
~
9.5
h/d.
this
nationally
representative
survey,
increased
NAFLD/MAFLD/MASLD.
It
is
worth
noting
MAFLD
MASLD.
Cureus,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 31, 2025
Heart
failure
with
preserved
ejection
fraction
(HFpEF)
is
a
complex
clinical
syndrome
an
obesity-related
phenotype
gaining
prominence
amid
the
global
obesity
epidemic.
This
review
explores
distinct
pathophysiological
mechanisms,
diagnostic
challenges,
and
management
strategies
associated
obesity-induced
HFpEF.
Obesity
contributes
to
HFpEF
through
several
key
including
increased
blood
volume,
myocardial
hypertrophy
fibrosis,
systemic
inflammation,
metabolic
dysregulation.
These
factors
collectively
exacerbate
diastolic
dysfunction
elevate
left
ventricular
filling
pressures,
hallmark
features
of
Diagnosing
in
obese
patients
particularly
challenging
due
overlapping
comorbidities
such
as
hypertension
diabetes,
well
reduced
reliability
traditional
biomarkers
N-terminal
pro-B-type
natriuretic
peptide.
Advanced
imaging
techniques
are
crucial
assessing
remodeling.
Managing
requires
comprehensive
approach.
Lifestyle
modifications,
weight
loss
exercise,
form
cornerstone
treatment,
complemented
by
pharmacological
therapies
sodium-glucose
cotransporter
2
inhibitors
mineralocorticoid
receptor
antagonists.
Optimizing
comorbidity
essential,
while
emerging
targeting
dysfunction,
alongside
precision
medicine
approaches,
offer
promising
future
advancements.
underscores
need
for
inclusive
trials
personalized
treatment
improve
outcomes
A
deeper
understanding
this
developing
targeted
interventions
that
enhance
patient
care
quality
life.
Integrating
these
insights
into
practice
can
help
optimize
accuracy,
refine
therapeutic
guide
risk
stratification
better
management.
