Advances in Metabolomics: A Comprehensive Review of Type 2 Diabetes and Cardiovascular Disease Interactions
International Journal of Molecular Sciences,
Год журнала:
2025,
Номер
26(8), С. 3572 - 3572
Опубликована: Апрель 10, 2025
Type
2
diabetes
(T2D)
and
cardiovascular
diseases
(CVDs)
are
major
public
health
challenges
worldwide.
Metabolomics,
the
exhaustive
assessment
of
metabolites
in
biological
systems,
offers
important
insights
regarding
metabolic
disturbances
related
to
these
disorders.
Recent
advances
toward
integration
metabolomics
into
clinical
practice
facilitate
discovery
novel
biomarkers
that
can
improve
diagnosis,
prognosis,
treatment
T2D
CVDs
discussed
this
review.
Metabolomics
potential
characterize
key
alterations
associated
with
disease
pathophysiology
treatment.
is
a
heterogeneous
develops
through
diverse
pathophysiological
processes
molecular
mechanisms;
therefore,
disease-causing
pathways
not
completely
understood.
studies
have
identified
several
robust
clusters
variants
representing
biologically
meaningful,
distinct
pathways,
such
as
beta
cell
proinsulin
cluster
pancreatic
insulin
secretion,
obesity,
lipodystrophy,
liver/lipid
cluster,
glycemia,
blood
pressure,
syndrome
different
causing
resistance.
Regarding
CVDs,
recent
allowed
metabolomic
profile
delineate
contribute
atherosclerosis
heart
failure,
well
development
targeted
therapy.
This
review
also
covers
role
integrated
genomics
other
omics
platforms
better
understand
mechanisms,
along
transition
precision
medicine.
further
investigates
use
multi-metabolite
modeling
enhance
risk
prediction
models
for
predicting
first
occurrence
adverse
events
among
individuals
T2D,
highlighting
value
approaches
optimizing
preventive
therapeutic
used
practice.
Язык: Английский
No causal association between serum vitamin D levels and bronchiectasis: A Mendelian randomization analysis
Medicine,
Год журнала:
2024,
Номер
103(49), С. e40824 - e40824
Опубликована: Дек. 6, 2024
Observational
studies
have
reported
an
association
between
Vitamin
D
deficiency
and
increased
risk
of
bronchiectasis.
This
study
aims
to
investigate
the
causal
relationship
levels
bronchiectasis
using
a
2-sample
Mendelian
randomization
(MR)
analysis.
Data
from
2
genome-wide
(GWAS)
based
on
European
ancestry
were
analyzed:
serum
vitamin
(sample
size
=
441,291
[UK
Biobank])
187,830
[cases
1107,
controls
186,723;
FinnGen]).
Inverse-variance
weighted
(IVW)
analysis
was
primarily
used
assess
effect
25(OH)D
bronchiectasis,
supplemented
by
Egger
regression
(MR-Egger),
median,
simple
mode,
mode
analyses.
Additionally,
MR-Egger
intercept
test
MR-Pleiotropy
Residual
Sum
Outlier
methods
implemented
determine
pleiotropy,
Cochran’s
Q
conducted
for
heterogeneity
testing.
Leave-one-out
Bayesian
also
robustness
results.
The
MR
suggested
no
significant
effects
IVW
method
(odds
ratio
1.550;
95%
confidence
interval
[CI]:
0.908–2.315;
P
.120).
These
results
consistent
across
regression,
No
heterogeneity,
or
bias
detected
in
instrumental
variables.
evidence
supported
(β
−0.002,
CI:
−0.007
0.003;
.463).
Our
found
either
direction.
A
larger
sample-sized
randomized
controlled
trial
(RCT)
is
needed
further
this
potential
relationship.
Язык: Английский