Epigenomes,
Journal Year:
2024,
Volume and Issue:
8(1), P. 3 - 3
Published: Jan. 26, 2024
Di(2-ethylhexyl)
phthalate
(DEHP)
is
a
common
plasticizer
that
can
affect
immune
system
development
and
susceptibility
to
infection.
Aging
processes
(measured
as
epigenetic
age
acceleration
(EAA))
may
mediate
the
immune-related
effects
of
prenatal
exposure
DEHP.
This
study’s
objective
was
examine
associations
between
DEHP
exposure,
EAA
at
three
months
age,
number
upper
respiratory
infections
(URIs)
from
12
18
using
sample
69
maternal–child
pairs
Canadian
pregnancy
cohort.
Blood
DNA
methylation
data
were
generated
Infinium
HumanMethylation450
BeadChip;
estimated
Horvath’s
pan-tissue
clock.
Robust
regressions
examined
overall
sex-specific
associations.
Higher
(B
=
6.52,
95%
CI
1.22,
11.81)
increased
2.98,
1.64,
4.32)
independently
predicted
more
URIs.
In
analyses,
some
similar
noted
for
boys,
mediated
association
girls,
higher
associated
with
decreased
EAA,
no
mediation
noted.
be
early
childhood
URIs,
particularly
in
aging
biomarkers
such
biological
mechanism.
Larger
cohort
studies
examining
potential
developmental
immunotoxicity
phthalates
are
needed.
Aging Cell,
Journal Year:
2023,
Volume and Issue:
23(3)
Published: Dec. 25, 2023
Abstract
Aging
is
a
significant
risk
factor
for
various
human
disorders,
and
DNA
methylation
clocks
have
emerged
as
powerful
tools
estimating
biological
age
predicting
health‐related
outcomes.
Methylation
data
from
blood
has
been
focus
of
more
recently
developed
clocks.
However,
the
impact
immune
cell
composition
on
epigenetic
acceleration
(EAA)
remains
unclear
only
some
incorporate
partial
type
information
when
analyzing
EAA.
We
investigated
associations
12
types
measured
by
cell‐type
deconvolution
with
EAA
predicted
six
widely‐used
in
>10,000
samples.
observed
all
tested.
Across
clocks,
nine
or
tested
exhibited
Higher
memory
lymphocyte
subtype
proportions
were
associated
increased
EAA,
naïve
subtypes
decreased
To
demonstrate
potential
confounding
composition,
we
applied
rheumatoid
arthritis.
Our
research
maps
contributions
to
offers
opportunities
adjust
studies
significantly
granular
level.
Understanding
profiles
implications
interpretation
its
relevance
aging
disease
research.
detailed
map
serves
resource
utilizing
across
diverse
fields,
including
aging‐related
diseases,
precision
medicine,
therapeutic
interventions.
JAMA Network Open,
Journal Year:
2024,
Volume and Issue:
7(7), P. e2421832 - e2421832
Published: July 29, 2024
Importance
Epigenetic
age
acceleration
is
associated
with
exposure
to
social
and
economic
adversity
may
increase
the
risk
of
premature
morbidity
mortality.
However,
no
studies
have
included
measures
structural
racism,
few
compared
estimates
within
or
across
first
second
generation
epigenetic
clocks.
Objective
To
determine
whether
positively
exposures
diverse
racialized,
economic,
environmental
injustice
measured
at
different
levels
time
periods.
Design,
Setting,
Participants
This
cross-sectional
study
used
data
from
My
Body
Story
(MBMS)
between
August
8,
2008,
December
31,
2010,
examination
5
Multi-Ethnic
Atherosclerosis
Study
(MESA)
April
1,
February
29,
2012.
In
MBMS,
DNA
extraction
was
performed
in
2021;
linkage
MBMS
MESA,
2022.
US-born
individuals
were
randomly
selected
4
community
health
centers
Boston,
Massachusetts
(MBMS),
field
sites
Baltimore,
Maryland;
Forsyth
County,
North
Carolina;
New
York
City,
York;
St
Paul,
Minnesota
(MESA).
Data
analyzed
November
13,
2021,
2023.
Main
Outcomes
Measures
Ten
clocks
(6
first-generation
second-generation),
computed
using
methylation
(DNAm)
blood
spots
purified
monocytes
Results
The
population
293
participants
(109
men
[37.2%],
184
women
[62.8%];
mean
[SD]
age,
49.0
[8.0]
years)
224
Black
non-Hispanic
69
White
975
MESA
(492
[50.5%],
483
[49.5%];
70.0
[9.3]
229
non-Hispanic,
191
Hispanic,
555
participants.
Of
these,
140
(11.0%)
exhibited
accelerated
aging
for
all
whose
are
interpretable
on
(years)
scale.
Among
participants,
being
born
a
Jim
Crow
state
by
0.14
(95%
CI,
0.003-0.27)
SDs
birth
conservatism
0.06
0.01-0.12)
SDs,
pooling
Low
parental
educational
level
acceleration,
clocks,
both
(0.24
[95%
0.08-0.39]
SDs)
(0.27
0.03-0.51]
Adult
impoverishment
pooled
second-generation
among
(Black
0.01-0.12]
SDs;
0.07
0.01-0.14]
0.05
0.01-0.08]
SDs).
Conclusions
Relevance
findings
this
suggest
that
racialized
injustice,
potentially
contributing
well-documented
inequities
Future
research
should
test
hypothesis
be
one
biological
mechanisms
underlying
elevated
mortality
groups
subjected
injustice.
The Journals of Gerontology Series A,
Journal Year:
2024,
Volume and Issue:
79(4)
Published: Jan. 24, 2024
Epigenetic
age
is
an
emerging
marker
of
health
that
highly
predictive
disease
and
mortality
risk.
There
a
lack
evidence
on
whether
lifestyle
changes
are
associated
with
in
epigenetic
aging.
We
used
data
from
1
041
participants
the
Melbourne
Collaborative
Cohort
Study
blood
DNA
methylation
measures
at
baseline
(1990-1994,
mean
age:
57.4
years)
follow-up
(2003-2007,
68.8
years).
The
Alternative
Healthy
Eating
Index-2010
(AHEI-2010),
Mediterranean
Dietary
Score,
Inflammatory
Index
were
as
diet
quality,
weight,
waist
circumference,
waist-to-hip
ratio
body
size.
Five
age-adjusted
aging
considered:
GrimAge,
PhenoAge,
PCGrimAge,
PCPhenoAge,
DunedinPACE.
Multivariable
linear
regression
models
including
restricted
cubic
splines
to
assess
cross-sectional
longitudinal
associations
size
quality
Associations
between
weight
cross-sectionally
both
time
points
positive
appeared
greater
for
DunedinPACE
(per
SD:
β
~0.24)
than
GrimAge
PhenoAge
(β
~0.10).
change
markedly
nonlinear
(U-shaped)
stable
being
lowest
follow-up,
except
DunedinPACE,
which
only
gain
showed
association.
found
negative,
AHEI-2010
longitudinally.
Other
adiposity
dietary
scores
similar
results.
In
middle-aged
older
adults,
declining
may
increase
age,
while
association
loss
require
further
investigation.
Our
study
sheds
light
potential
management
improvement
slowing
processes.
Psychiatry and Clinical Neurosciences,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 8, 2025
Epigenetic
clocks,
quantifying
biological
age
through
DNA
methylation
(DNAmAge),
have
emerged
as
potential
indicators
of
brain
aging.
As
the
variety
DNAmAge
algorithms
grows,
consensus
on
their
efficacy
in
predicting
age-related
changes
is
lacking.
This
study
aimed
to
explore
intricate
relationship
between
diverse
and
structural
cognitive
markers
Within
a
cohort
796
elderly
patients
(mean
age,
65.8
±
7.9
years),
we
scrutinized
11
algorithms,
including
Horvath,
Hannum,
Zhang's
PhenoAge,
GrimAge,
DunedinPACE,
principal
component
(PC)-based
PCHorvath,
PCHannum,
PCPhenoAge,
PCGrimAge.
We
evaluated
association
with
baseline
cognition
decline,
assessed
follow-up
evaluations
at
three
(T1)
six
(T2)
years
postbaseline.
Additionally,
examined
magnetic
resonance
imaging
aging,
white
matter.
clock
was
best
predictor
decline
memory
(β
=
-0.04)
global
-0.03),
whereas
PCGrimAge
speed
-0.17).
The
were
second-best
predictors
explaining
variability
after
education
(R2
partial
1.66%
2.82%)
for
2.13%).
PC-trained
outperformed
respective
original
version.
are
strong
independent
normal
population
explain
additional
beyond
that
accounted
by
conventional
risk
factors.
Genetic Epidemiology,
Journal Year:
2025,
Volume and Issue:
49(4)
Published: March 27, 2025
ABSTRACT
DNA
methylation
(DNAm)
is
a
chemical
modification
of
that
can
be
influenced
by
various
factors,
including
age,
the
environment,
and
lifestyle.
An
epigenetic
clock
predictive
tool
measures
biological
age
based
on
DNAm
levels.
It
provide
insights
into
an
individual's
which
may
differ
from
their
chronological
age.
This
difference,
known
as
acceleration,
reflect
health
status
risk
for
age‐related
diseases.
Moreover,
clocks
are
used
in
studies
aging
to
assess
effectiveness
antiaging
interventions
understand
underlying
mechanisms
disease.
Various
have
been
developed
using
samples
different
populations,
tissues,
cell
types,
typically
training
high‐dimensional
linear
regression
models
with
elastic
net
penalty.
While
these
predict
mean
high
precision,
there
lack
uncertainty
quantification
important
interpreting
precision
estimations
clinical
decision‐making.
To
distribution
beyond
its
mean,
we
propose
general
pipeline
clocks,
integration
quantile
conformal
prediction,
effectively
reveal
population
heterogeneity
construct
prediction
intervals.
Our
approach
produces
adaptive
intervals
not
only
achieving
nominal
coverage
but
also
accounting
inherent
variability
across
individuals.
By
data
collected
728
blood
11
sets
children,
find
our
regression‐based
narrower
than
those
derived
conventional
clocks.
observation
demonstrates
improved
statistical
efficiency
over
existing
In
addition,
resulting
synchronized
varying
pattern
revealing
cellular
evolutionary
patterns
developmental
stages
during
individual
childhoods
adolescent
cohort.
findings
suggest
conformalized
produce
valid
uncover
heterogeneity.
Although
methodology
focuses
it
applicable
broader
range
groups
improve
understanding
mean.
inference‐based
toolbox
could
valuable
future
applications
QJM,
Journal Year:
2023,
Volume and Issue:
117(4), P. 257 - 268
Published: Nov. 1, 2023
Summary
Background
Early-life
exposure
increases
health
risks
throughout
an
individual’s
lifetime.
Biological
aging
is
influenced
by
early-life
as
a
key
process
of
disease
development,
but
whether
could
accelerate
biological
and
elevate
late-life
mortality
morbidity
remains
unknown.
Knowledge
also
limited
on
the
potential
moderating
role
healthy
lifestyle.
Methods
We
investigate
associations
three
around
birth,
breastfeeding,
maternal
smoking
birth
weight,
with
202
580
UK
Biobank
participants
(54.9
±
8.1
years
old).
was
quantified
KDM-BA,
PhenoAge
frailty.
Moderate
alcohol
intake,
no
current
smoking,
diet,
BMI
<30
kg/m2
regular
physical
activity
were
considered
lifestyles.
Mortality
data
retrieved
from
records.
Results
Individual
risk
factors
robustly
associated
accelerated
aging.
A
one-unit
increase
in
‘early-life
score’
integrating
0.060
(SE=0.0019)
0.036-unit
(SE
=
0.0027)
z-scored
KDM-BA
acceleration
acceleration,
respectively,
22.3%
higher
odds
(95%
CI:
1.185–1.262)
Increased
chronological
age
lifestyles
mitigate
accelerations
PhenoAge,
respectively.
Associations
score
mediated
(proportions:
5.66–43.12%).
significantly
mediate
impact
most
outcomes
except
anxiety,
frailty
not
T2D.
Conclusion
capture
stemming
risks,
be
potentially
targeted
for
longevity
promotion.
Internal and Emergency Medicine,
Journal Year:
2023,
Volume and Issue:
18(7), P. 2019 - 2028
Published: Aug. 28, 2023
Abstract
Biological
age
is
increasingly
recognized
as
being
more
accurate
than
chronological
in
determining
chronic
health
outcomes.
This
study
assessed
whether
biological
age,
on
intensive
care
unit
(ICU)
admission,
can
predict
hospital
mortality.
retrospective
cohort
study,
conducted
a
tertiary
multidisciplinary
ICU
Western
Australia,
used
the
Levine
PhenoAge
model
to
estimate
each
patient’s
(also
called
PhenoAge).
Each
was
calibrated
generate
regression
residual
which
equivalent
unexplained
by
local
context.
PhenoAgeAccel
dichotomized
measure
of
residuals,
and
its
presence
suggested
that
one
biologically
older
corresponding
age.
Of
2950
critically
ill
adult
patients
analyzed,
291
died
(9.9%)
before
discharge.
Both
residuals
(after
regressing
age)
had
significantly
better
ability
differentiate
between
survivors
non-survivors
(area
under
receiver-operating-characteristic
curve
0.648
0.654
vs.
0.547
respectively).
Being
phenotypically
one’s
associated
with
an
increased
risk
mortality
(PhenoAgeAccel
hazard
ratio
[HR]
1.997,
95%
confidence
interval
[CI]
1.568–2.542;
p
=
0.001)
dose-related
fashion
did
not
reach
plateau
until
at
least
20-year
gap.
adverse
association
remained
significant
(adjusted
HR
1.386,
CI
1.077–1.784;
0.011)
after
adjusted
for
severity
acute
illness
comorbidities.
prevalent
among
those
pre-existing
cardiovascular
disease,
end-stage
renal
failure,
cirrhosis,
immune
diabetes
mellitus,
or
treated
immunosuppressive
therapy.
common
comorbidities,
this
fully
explained
comorbidities
illness.