Clinical Epigenetics,
Journal Year:
2023,
Volume and Issue:
15(1)
Published: April 12, 2023
Abstract
Background
Epigenetic
age
acceleration
(EAA)
and
epigenetic
gestational
(EGAA)
are
biomarkers
of
physiological
development
may
be
affected
by
the
perinatal
environment.
The
aim
this
study
was
to
evaluate
performance
clocks
identify
biological
sociodemographic
correlates
EGAA
EAA
at
birth
in
childhood.
In
Project
Viva
pre-birth
cohort,
DNA
methylation
measured
nucleated
cells
cord
blood
(leukocytes
red
cells,
N
=
485)
leukocytes
early
(N
120,
median
3.2
years)
mid-childhood
460,
7.7
years).
We
calculated
(EGA;
Bohlin
Knight
clocks)
(EA;
Horvath
skin
&
clocks),
respective
measures
EAA.
evaluated
relative
chronological
using
correlations
absolute
error.
tested
for
associations
maternal-child
characteristics
with
mutually
adjusted
linear
models
controlling
estimated
cell
type
proportions.
also
EA
childhood
Results
EGA
strongly
correlated
(Bohlin
r
0.82,
p
<
0.001).
were
weakly
age,
but
moderately
(
0.45–0.65).
Maternal
smoking
during
pregnancy
associated
higher
[
B
(95%
CI)
1.17
weeks
(−
0.09,
2.42)]
[0.34
years
(0.03,
0.64)].
Female
newborns
children
had
lower
[−
0.17
0.30,
−
0.04)]
2.88
4.41,
1.35)]
[early
childhood:
0.3
0.60,
0.01);
mid-childhood:
0.48
0.77,
0.18)]
than
males.
When
comparing
self-reported
Asian,
Black,
Hispanic,
more
one
race
or
other
racial/ethnic
groups
White,
we
identified
significant
differences
mid-childhood,
varied
across
clocks.
positively
Conclusions
child
sex
multiple
timepoints.
Further
research
provide
insight
into
relationship
between
factors,
pediatric
aging,
health
lifespan.
Nature Metabolism,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 13, 2025
The
blood
proteome
contains
biomarkers
of
ageing
and
age-associated
diseases,
but
such
markers
are
rarely
validated
longitudinally.
Here
we
map
the
longitudinal
in
7,565
serum
samples
from
a
cohort
3,796
middle-aged
elderly
adults
across
three
time
points
over
9-year
follow-up
period.
We
pinpoint
86
ageing-related
proteins
that
exhibit
signatures
associated
with
32
clinical
traits
incidence
14
major
chronic
diseases.
Leveraging
machine-learning
model,
pick
22
these
to
generate
proteomic
healthy
score
(PHAS),
capable
predicting
cardiometabolic
further
identify
gut
microbiota
as
modifiable
factor
influencing
PHAS.
Our
data
constitute
valuable
resource
offer
useful
insights
into
roles
providing
potential
targets
for
intervention
therapeutics
promote
ageing.
Tang,
Yue,
Xu
colleagues
several
thousand
individuals
period
International Journal of Dermatology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 10, 2025
ABSTRACT
The
concept
of
aging
has
evolved
from
being
primarily
attributed
to
genetic
factors
recognizing
the
critical
role
epigenetic
mechanisms.
Recent
advancements,
such
as
clocks,
have
provided
tools
assess
biological
age
and
offer
insights
into
processes
at
molecular
level.
In
aesthetic
dermatology,
understanding
these
allows
for
more
personalized,
effective
interventions
targeting
root
causes
skin
aging.
This
review
explores
interplay
changes,
aging,
potential
personalized
care
enhance
longevity
rejuvenation.
is
based
on
an
extensive
literature
search
conducted
across
PubMed
other
scientific
databases.
Studies
focused
mechanisms
DNA
methylation,
histone
modifications,
their
relationship
Particular
attention
was
given
recent
advancements
in
including
Horvath's
Clock
GrimAge,
implications
dermatological
treatments.
Epigenetic
Clock,
demonstrated
utility
assessing
through
methylation
markers,
revealing
actionable
processes.
Energy‐based
devices
like
fractional
lasers
radiofrequency
shown
promise
reversing
age‐related
promoting
collagen
synthesis,
reducing
age.
Additionally,
lifestyle
diet,
sleep,
circadian
rhythm
alignment
significantly
influence
health.
Integrating
dermatology
represents
a
paradigm
shift
rejuvenation,
allowing
treatments
that
address
visible
signs
underlying
Using
clocks
provides
framework
tailoring
individual
patient
needs,
optimizing
outcomes,
extending
results.
Future
research
should
focus
longitudinal
studies,
accessibility,
ethical
considerations
fully
harness
epigenetics
health
overall
well‐being.
Ageing Research Reviews,
Journal Year:
2022,
Volume and Issue:
83, P. 101805 - 101805
Published: Nov. 21, 2022
Major
depressive
disorder
(MDD)
is
characterized
by
psychological
and
physiological
manifestations
contributing
to
the
disease
severity
outcome.
In
recent
years,
several
lines
of
evidence
have
suggested
that
individuals
with
MDD
an
elevated
risk
age-related
adverse
outcomes
across
lifespan.
This
review
provided
a
significant
overlap
between
biological
abnormalities
in
changes
commonly
observed
during
aging
process
(i.e.,
hallmarks
aging).
Based
on
such
evidence,
we
formulate
mechanistic
model
showing
how
can
be
common
denominator
mediate
health
MDD.
Finally,
proposed
roadmap
for
novel
studies
investigate
intersection
biology
MDD,
including
use
geroscience-guided
interventions,
as
senolytics,
delay
or
improve
major
depression
targeting
aging.
Clinical Epigenetics,
Journal Year:
2023,
Volume and Issue:
15(1)
Published: April 12, 2023
Abstract
Background
Epigenetic
age
acceleration
(EAA)
and
epigenetic
gestational
(EGAA)
are
biomarkers
of
physiological
development
may
be
affected
by
the
perinatal
environment.
The
aim
this
study
was
to
evaluate
performance
clocks
identify
biological
sociodemographic
correlates
EGAA
EAA
at
birth
in
childhood.
In
Project
Viva
pre-birth
cohort,
DNA
methylation
measured
nucleated
cells
cord
blood
(leukocytes
red
cells,
N
=
485)
leukocytes
early
(N
120,
median
3.2
years)
mid-childhood
460,
7.7
years).
We
calculated
(EGA;
Bohlin
Knight
clocks)
(EA;
Horvath
skin
&
clocks),
respective
measures
EAA.
evaluated
relative
chronological
using
correlations
absolute
error.
tested
for
associations
maternal-child
characteristics
with
mutually
adjusted
linear
models
controlling
estimated
cell
type
proportions.
also
EA
childhood
Results
EGA
strongly
correlated
(Bohlin
r
0.82,
p
<
0.001).
were
weakly
age,
but
moderately
(
0.45–0.65).
Maternal
smoking
during
pregnancy
associated
higher
[
B
(95%
CI)
1.17
weeks
(−
0.09,
2.42)]
[0.34
years
(0.03,
0.64)].
Female
newborns
children
had
lower
[−
0.17
0.30,
−
0.04)]
2.88
4.41,
1.35)]
[early
childhood:
0.3
0.60,
0.01);
mid-childhood:
0.48
0.77,
0.18)]
than
males.
When
comparing
self-reported
Asian,
Black,
Hispanic,
more
one
race
or
other
racial/ethnic
groups
White,
we
identified
significant
differences
mid-childhood,
varied
across
clocks.
positively
Conclusions
child
sex
multiple
timepoints.
Further
research
provide
insight
into
relationship
between
factors,
pediatric
aging,
health
lifespan.