medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 24, 2024
Abstract
DNA
methylation
age
(MA),
brain
(BA),
and
frailty
index
(FI)
are
putative
aging
biomarkers
linked
to
dementia
risk.
We
investigated
their
relationship
combined
potential
for
prediction
of
stages
cognitive
impairment
future
risk
using
the
ADNI
database.
Of
several
MA
algorithms,
DunedinPACE
had
strongest
association
with
neuropsychological
tests
was
included
alongside
BA
FI
in
predictive
analyses.
The
pairwise
correlations
between
age-
sex-adjusted
measures
(aDundedinPACE),
(aBA),
(aFI)
were
low
(all
<0.15).
In
a
model
including
age,
sex,
aFI,
we
achieved
an
area
under
curve
(AUC)
0.95
differentiating
cognitively
normal
controls
(CN)
from
patients
held-out
test
set.
best
models
CN
vs.
mild
(MCI)
MCI
contained
aFI
aBA
as
predictors,
out-of-sample
AUCs
0.82
0.83
respectively.
When
clinical
(apolipoprotein
E
ε4
allele
count,
memory,
executive
function),
predicted
5-year
among
AUC
0.83.
aDunedinPACE
did
not
improve
predictions.
stronger
adverse
effect
on
prognosis
males,
while
BA’s
impact
greater
females.
Our
findings
highlight
complementary
value
prediction.
results
support
multidimensional
view
dementia,
intertwined
biomarkers,
prognosis.
tested
MA’s
limited
contribution
suggests
caution
use
individual
assessment
dementia.
Ageing Research Reviews,
Год журнала:
2024,
Номер
96, С. 102253 - 102253
Опубликована: Март 4, 2024
Aging
is
a
complex
multidimensional,
progressive
remodeling
process
affecting
multiple
organ
systems.
While
many
studies
have
focused
on
studying
aging
across
organs,
assessment
of
the
contribution
individual
organs
to
overall
processes
cutting-edge
issue.
An
organ's
biological
age
might
influence
other
revealing
multiorgan
network.
Recent
data
demonstrated
similar
yet
asynchronous
inter-organs
and
inter-individuals
progression
aging,
thereby
providing
foundation
track
sources
declining
health
in
old
age.
The
integration
omics
with
common
clinical
parameters
through
artificial
intelligence
has
allowed
building
organ-specific
clocks,
which
can
predict
development
specific
age-related
diseases
at
high
resolution.
peculiar
aging-trajectory,
referred
as
ageotype,
provide
novel
tool
for
personalized
anti-aging,
preventive
medicine.
Here,
we
review
relative
clocks
omics-based
data,
suggesting
different
rates.
Additional
research
longitudinal
including
young
subjects
analyzing
sex-related
differences,
should
be
encouraged
apply
ageotyping
analysis
purposes
practice.
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 6, 2025
Physiological
age
(PA)
derived
from
clinical
indicators
including
blood-based
biomarkers
and
tests
of
physiological
function
can
be
compared
with
chronological
to
examine
disparities
in
health
between
older
adults
the
same
age.
Though
education
interacts
sex
lead
inequalities
healthy
ageing,
their
combined
influence
on
longitudinally-measured
PA
has
not
been
explored.
We
based
examined
how
interact
inform
trajectories.
Three
waves
(2004/05-2012/13)
drawn
English
Longitudinal
Study
Ageing
(ages
50-100
years)
were
used
estimate
PA,
which
was
internally
validated
by
confirming
associations
incident
chronic
conditions,
functional
limitations,
memory
impairment
after
adjustment
for
sex.
Joint
models
construct
trajectories
8,891
ELSA
participants
educational
PA.
Among
least
educated
participants,
there
negligible
differences
until
60
(sex
difference
[men-women]
50=-0.6
years
[95%
confidence
interval=-2.2-0.6];
60=0.4
[-0.6-1.4]);
at
70,
women
1.5
(0.7-2.2)
than
men.
most
3.8
(1.6-6.0)
younger
men
50,
2.7
(0.4-5.0)
60,
a
non-significant
70.
Higher
provides
larger
midlife
buffer
ageing
Policies
promote
gender
equity
higher
may
contribute
improving
women's
across
range
ageing-related
outcomes.
Child Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 2, 2025
DNA-methylation
profile
scores
(MPSs)
index
biology
relevant
for
lifelong
physical
and
cognitive
health,
but
information
on
their
longitudinal
stability
in
childhood
is
lacking.
Using
two
waves
of
data
collected
from
2014
to
2022
(Mlag
between
=
2.41
years)
N
407
participants
(Mage
12.05
years,
51%
female,
60%
White),
test-retest
correlations
were
estimated
four
salivary
MPSs
related
aging
(PhenoAgeAccel,
GrimAgeAccel,
DunedinPACE),
function
(Epigenetic-g).
varied
(test-retest
rs
0.38
0.76).
did
not
differ
children
exposed
the
COVID-19
pandemic,
race-ethnic
sex
differences
apparent.
Further
research
necessary
understand
which
environmental
perturbations
impact
trajectories
when
are
most
sensitive
those
impacts.
Abstract
Epigenetic
clocks
based
on
DNA
methylation
have
been
known
as
biomarkers
of
aging,
including
principal
component
(PC)
representing
the
degree
aging
and
DunedinPACE
pace
aging.
Prior
studies
shown
associations
between
epigenetic
T2DM,
but
results
vary
by
age
metrics
people.
This
study
explored
T2DM
or
glycemic
traits,
1070
twins
(535
twin
pairs)
from
Chinese
National
Twin
Registry.
It
also
temporal
relationships
traits
in
314
(157
who
participated
baseline
follow‐up
visits
after
a
mean
4.6
years.
data
were
used
to
calculate
metrics,
PCGrimAge
acceleration
(PCGrimAA),
PCPhenoAge
(PCPhenoAA),
DunedinPACE,
longitudinal
change
rate
PCGrimAge/PCPhenoAge.
Mixed‐effects
cross‐lagged
modelling
assessed
cross‐sectional
respectively.
In
analysis,
positive
identified
well
PCPhenoAA
fasting
plasma
glucose,
which
may
be
not
confounded
shared
genetic
factors.
Cross‐lagged
models
revealed
that
(fasting
HbA1c,
TyG
index)
preceded
increases,
index
PCGrimAA
increases.
Glycemic
are
positively
associated
with
especially
DunedinPACE.
increases
PCGrimAA.
Lowering
levels
reduce
PCGrimAA,
thereby
mitigating
age‐related
comorbidities.
JAMA Network Open,
Год журнала:
2024,
Номер
7(7), С. e2421889 - e2421889
Опубликована: Июль 29, 2024
Importance
Variation
in
DNA
methylation
at
specific
loci
estimates
biological
age,
which
is
associated
with
morbidity,
mortality,
and
social
experiences.
Aging
known
as
epigenetic
clocks,
including
the
Dunedin
Pace
of
Calculated
From
Epigenome
(DunedinPACE),
were
trained
on
data
predominately
from
individuals
European
ancestry;
however,
limited
research
has
explored
DunedinPACE
underrepresented
populations
experiencing
health
disparities.
Objective
To
investigate
associations
neighborhood
individual
sociobehavioral
factors
aging
a
racially
ethnically
diverse
population.
Design,
Setting,
Participants
This
cohort
study,
part
Multiethnic
Cohort
study
conducted
May
1993
to
September
1996
examine
racial
ethnic
disparities
chronic
diseases,
integrated
biospecimen
self-reported
collected
between
April
2004
November
2005
healthy
Hawaii
residents
aged
45
76
years.
These
participants
self-identified
Japanese
American,
Native
Hawaiian,
or
White
background.
Data
analyzed
January
2022
2024.
Main
Outcomes
Measures
generated
monocytes
enriched
cryopreserved
lymphocytes
used
derive
scores
2017
June
2021.
Neighborhood
economic
status
(NSES)
was
estimated
1990
US
Census
Bureau
include
such
educational
level,
occupation,
income.
Individual-level
included
body
mass
index
(BMI),
physical
activity
(PA),
diet
quality
measured
by
Healthy
Eating
Index
(HEI).
Linear
regression
analysis
their
NSES
variables.
Results
A
total
376
(113
[30.1%]
144
[38.3%]
119
[31.6%]
White;
189
[50.3%]
female).
Mean
(SE)
age
57.81
(0.38)
Overall,
mean
significantly
higher
among
females
than
males
(1.28
[0.01]
vs
1.25
[0.01];
P
=
.005);
correlated
negatively
(
R
−0.09;
.08),
HEI
−0.11;
.03),
attainment
−0.15;
.003)
positively
BMI
0.31;
&lt;
.001);
varied
race
ethnicity.
Hawaiian
exhibited
score
(1.31
[0.01])
compared
American
(1.25
.001)
(1.22
participants.
Controlling
for
sex,
HEI,
BMI,
NSES,
linear
analyses
revealed
negative
association
level
(β,
−0.005
[95%
CI,
−0.013
0.002];
.03)
−0.003
−0.011
0.005];
.08)
participants,
yet
this
positive
0.007;
95%
−0.001
0.015;
.09).
Moderate
vigorous
PA
lower
only
−0.006;
−0.001;
.005),
independent
NSES.
Conclusions
Relevance
In
sample
adults,
low
rate
score,
individual-level
affected
association,
findings
support
interventions
addressing
inequities.
Aging Clinical and Experimental Research,
Год журнала:
2024,
Номер
36(1)
Опубликована: Авг. 10, 2024
Abstract
Background
Falls
in
older
adults
significantly
impact
overall
health
and
healthcare
costs.
Intrinsic
capacity
(IC)
reflects
functional
reserve
is
an
indicator
of
healthy
aging.
Aims
To
explore
the
association
between
IC
recent
falls
(≤
90
days)
community-dwelling
octogenarians
from
Aging
Longevity
Sirente
geographic
area
(IlSIRENTE)
study.
Methods
The
Minimum
Data
Set
for
Home
Care
(MDS−HC)
supplementary
questionnaires
tests
were
used
to
assess
five
domains:
locomotion,
cognition,
vitality,
psychology,
sensory.
Scores
each
domain
rescaled
using
percent
maximum
possible
score
method
averaged
obtain
(range
0−100).
Results
study
included
319
participants
(mean
age
85.5
±
4.8
years,
67.1%
women).
Mean
was
80.5
14.2.
optimal
cut-off
predicting
two-year
risk
incident
loss
at
least
one
activity
daily
living
(ADL)
determined
validated
a
subset
240
individuals
without
ADL
disability
baseline
84.7
4.4
Participants
then
stratified
into
low
(<
77.6)
high
(≥
categories.
Those
with
(63.9%)
younger,
more
often
males,
had
lower
prevalence
falls,
disability,
multimorbidity,
polypharmacy.
Logistic
regression
models
including
as
continuous
variable
revealed
significant
higher
odds
falls.
This
unadjusted
(odds
ratio
[OR]
0.96,
95%
confidence
interval
[CI]
0.94–0.98,
p
<
0.001),
age-
sex-adjusted
(OR
CI
fully
adjusted
0.93–0.99,
=
0.003).
When
considering
categorical
variable,
logistic
showed
strong
0.31,
0.16–0.60,
0.001).
remained
both
0.30,
0.15–0.59,
0.001)
0.33,
0.16–0.82,
0.007).
locomotion
independently
associated
0.98,
0.97–0.99,
0.97,
0.96–0.99,
model
Discussion
first
MDS−HC-derived
instrument
IC.
Individuals
less
likely
report
being
domain.
Conclusions
Lower
linked
increased
Interventions
maintain
improve
IC,
especially
domain,
may
reduce
fall
octogenarians.
Abstract
Background
Epigenetic
ageing
is
among
the
most
promising
biomarkers
and
may
be
a
useful
marker
of
physical
function
decline,
beyond
chronological
age.
This
study
investigated
whether
epigenetic
age
acceleration
(AA)
associated
with
change
in
frailty
scores
over
7
years
7-year
risk
incident
persistent
Activities
Daily
Living
(ADL)
disability
560
Australians
(50.7%
females)
aged
≥70
years.
Methods
Seven
AA
indices,
including
GrimAge,
GrimAge2,
FitAge
DunedinPACE,
were
estimated
from
baseline
peripheral-blood
DNA-methylation.
Frailty
was
assessed
using
both
67-item
deficit-accumulation
index
(FI)
Fried
phenotype
(Fried).
Persistent
ADL
defined
as
loss
ability
to
perform
one
or
more
basic
ADLs
for
at
least
6
months.
Linear
mixed
models
Cox
proportional-hazard
regression
used
appropriate.
Results
Accelerated
DunedinPACE
increasing
FI
per
year
(adjusted-Beta
ranged
0.0015
0.0021,
P
<
0.05),
accelerated
GrimAge
GrimAge2
an
increased
FI-defined
(adjusted-HRs
1.43
1.39,
respectively,
0.05).
The
association
between
stronger
females
0.0029,
0.001
than
males
0.0002,
0.81).
but
not
other
measures,
also
worsening
0.0175,
0.04).
No
associations
observed
disability.
Conclusion
later
life
frailty.
Communications Medicine,
Год журнала:
2025,
Номер
5(1)
Опубликована: Янв. 16, 2025
Declining
gait
performance
is
seen
in
aging
individuals,
due
to
neural
and
systemic
factors.
Plasma
biomarkers
provide
an
accessible
way
assess
evolving
brain
changes;
non-specific
neurodegeneration
(NfL,
GFAP)
or
Alzheimer's
disease
(Aβ
42/40
ratio,
P-Tau181).
In
a
population-based
cohort
of
older
adults,
we
evaluate
the
hypothesis
that
plasma
Disease
pathology
are
associated
with
worse
performance.
A
sample
2641
Mayo
Clinic
Study
Aging
participants
measurements
parameters
was
analyzed
this
cross-sectional
study.
Linear
regression
models
using
as
predictors
adjusted
for
age,
sex,
BMI,
Charlson
Comorbidity
Index,
cognitive
diagnosis
were
evaluated.
study
multiple
statistically
significant
relationships
observed
GFAP,
NfL,
P-Tau181
parameters.
Each
standard
deviation
increase
reduction
velocity
2.100
(95%
CI:
-3.004,
-1.196;
p
=
5.4
×
10-6),
4.400
(-5.292,
-3.507;
9.5
10-22),
2.617
(-3.414,
-1.819;
1.5
10-10)
cm/sec,
respectively.
Overall,
NfL
has
strongest
associations
poor
Models
age
interactions
show
strength
between
became
stronger
increasing
age.
There
no
specific
associate
individual
biomarkers.
not
only
markers
decline
but
also
indicate
motor
population.