GDF‐15 is associated with sarcopenia and frailty in acutely admitted older medical patients
Journal of Cachexia Sarcopenia and Muscle,
Год журнала:
2024,
Номер
15(4), С. 1549 - 1557
Опубликована: Июнь 18, 2024
Growth
differentiation
factor-15
(GDF-15)
has
been
associated
with
senescence,
lower
muscle
strength,
and
physical
performance
in
healthy
older
people.
Still,
it
is
not
clear
whether
GDF-15
can
be
utilized
as
a
biomarker
of
sarcopenia
frailty
the
early
stages
hospitalization.
We
investigated
association
plasma
older,
acutely
admitted
medical
patients.
Язык: Английский
Frailty in patients with atrial fibrillation: diagnosis, management, prevention and influence on prognosis
Russian Cardiology Bulletin,
Год журнала:
2025,
Номер
20(1), С. 5 - 5
Опубликована: Апрель 14, 2025
The
review
is
devoted
to
frailty
in
patients
with
atrial
fibrillation
(AF).
number
of
elderly
AF
constantly
increasing,
and
this
category
characterized
by
high
incidence
stroke
bleeding.
Frailty
a
key
geriatric
syndrome.
Research
extremely
important,
since
involutional
processes
cardiovascular
system,
brain,
kidneys
gastrointestinal
tract
cause
metabolism
anticoagulants
increase
the
risk
thromboembolic
hemorrhagic
complications.
highlights
tools,
scales
questionnaires
for
assessing
diseases.
In
addition,
some
biomarkers
related
syndromes
are
described.
Data
on
negative
impact
prognosis
presented,
measures
prevent
its
progression
outlined.
These
data
indicate
need
introduce
tools
into
interdisciplinary
approach.
This
can
delay
loss
working
capacity,
improve
quality
life
outcomes
senile
AF.
Язык: Английский
Global and tissue-specific transcriptomic dysregulation in human aging: Pathways and predictive biomarkers
GeroScience,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 28, 2025
Abstract
Aging
is
a
universal
biological
process
that
impacts
all
tissues,
leading
to
functional
decline
and
increased
susceptibility
age-related
diseases,
particularly
cardiometabolic
disorders.
While
aging
characterized
by
hallmarks
such
as
mitochondrial
dysfunction,
chronic
inflammation,
dysregulated
metabolism,
the
molecular
mechanisms
driving
these
processes
remain
incompletely
understood,
in
tissue-specific
context.
To
address
this
gap,
we
conducted
comprehensive
transcriptomic
analysis
across
40
human
tissues
using
data
from
Genotype-Tissue
Expression
(GTEx)
project,
comparing
individuals
younger
than
years
with
those
older
65
years.
We
identified
over
17,000
differentially
expressed
genes
(DEGs)
distinct
patterns
of
up-
down-regulation.
Enrichment
analyses
revealed
up-regulated
DEGs
were
associated
immune
responses,
apoptosis,
while
down-regulated
linked
function,
oxidative
phosphorylation,
metabolic
processes.
Using
gene
co-expression
network
(GCN)
analyses,
1,099
nodes
(DNs)
shared
reflecting
global
aging-associated
transcriptional
shifts.
Integrating
machine
learning
approaches,
pinpointed
key
biomarkers,
including
GDF15
EDA2R,
which
demonstrated
strong
predictive
power
for
relevant
heart,
liver,
skeletal
muscle,
adipose
tissue.
These
also
validated
plasma
proteomics
studies
exhibited
significant
correlations
clinical
health
indicators.
This
study
provides
multi-tissue,
integrative
perspective
on
aging,
uncovering
both
systemic
signatures.
Our
findings
advance
understanding
underpinnings
identify
novel
biomarkers
may
serve
therapeutic
targets
promoting
healthy
mitigating
diseases.
Язык: Английский
GDF15 is still a mystery hormone
Trends in Endocrinology and Metabolism,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 1, 2024
Язык: Английский
Association between DNA methylation predicted growth differentiation factor 15 and mortality: results from NHANES 1999–2002
Aging Clinical and Experimental Research,
Год журнала:
2024,
Номер
36(1)
Опубликована: Дек. 3, 2024
Abstract
Background
Growth
differentiation
factor
15
(GDF15)
is
a
crucial
biomarker
in
various
physiological
and
pathological
processes.
While
elevated
GDF15
levels
are
linked
to
increased
mortality
risk,
the
role
of
DNA
methylation
(DNAm)-predicted
predicting
has
not
been
extensively
studied.
The
purpose
study
investigate
association
between
DNAm-predicted
all-cause
cardiovascular
disease
(CVD)
nationally
representative
cohort.
Methods
Data
from
NHANES
1999–2002
were
analyzed.
estimated
using
regression
model.
Weighted
multivariate
Cox
regressions
employed
assess
relationship
outcomes.
Restricted
cubic
splines
used
explore
dose-response
relationships,
subgroup
analyses
conducted
enhance
result
reliability.
Results
Higher
significantly
associated
with
risk
(HR
=
1.08,
95%
CI:
1.02–1.15).
Participants
highest
tertile
showed
higher
1.56,
1.16–2.10)
2.52-fold
2.52,
1.22–5.19).
Kaplan-Meier
curves
revealed
decreasing
survival
probability
tertiles.
spline
analysis
demonstrated
non-linear
mortality.
positive
correlation
remained
robust
most
subgroups.
Conclusions
independently
predicts
This
persists
across
multiple
models
stratified
subgroups,
supporting
GDF15’s
value
as
for
stratification.
Future
research
should
elucidate
underlying
biological
mechanisms
evaluate
clinical
utility
guiding
reduction
interventions.
Язык: Английский