Frontiers in Neurology,
Journal Year:
2024,
Volume and Issue:
15
Published: May 13, 2024
The
rising
prevalence
of
Parkinson’s
disease
(PD)
globally
presents
a
significant
public
health
challenge
for
national
healthcare
systems,
particularly
in
low-to-middle
income
countries,
such
as
Thailand,
which
may
have
insufficient
resources
to
meet
these
escalating
needs.
There
are
also
many
undiagnosed
cases
early-stage
PD,
period
when
therapeutic
interventions
would
the
most
value
and
least
cost.
traditional
“passive”
approach,
whereby
clinicians
wait
patients
with
symptomatic
PD
seek
treatment,
is
inadequate.
Proactive,
early
identification
will
allow
timely
interventions,
digital
technologies
can
be
scaled
up
diagnosis
cases.
risk
survey
(TCTR20231025005)
aims
evaluate
population
screening
platform
identify
Thai
population.
Recognizing
long
prodromal
phase
target
demographic
people
aged
≥
40
years,
approximately
20
years
before
usual
emergence
motor
symptoms.
Thailand
has
highly
rated
system
an
established
universal
program
citizens,
making
it
ideal
deploying
using
technology.
Designed
by
multidisciplinary
group
experts,
comprises
20-item
questionnaire
about
symptoms
along
objective
tests
eight
markers:
voice
vowel,
sentences,
resting
postural
tremor,
alternate
finger
tapping,
“pinch-to-size”
test,
gait
balance,
performance
recorded
mobile
application
smartphone’s
sensors.
Machine
learning
tools
use
collected
data
subjects
at
developing,
or
signs
of,
PD.
This
article
describes
selection
validation
items
markers,
results
showing
chosen
parameters
analysis
methods
robust,
reliable,
reproducible.
could
serve
model
similar
strategies
other
non-communicable
diseases
Thailand.
Signal Transduction and Targeted Therapy,
Journal Year:
2022,
Volume and Issue:
7(1)
Published: Nov. 7, 2022
Abstract
Aging
is
accompanied
by
the
decline
of
organismal
functions
and
a
series
prominent
hallmarks,
including
genetic
epigenetic
alterations.
These
aging-associated
changes
include
DNA
methylation,
histone
modification,
chromatin
remodeling,
non-coding
RNA
(ncRNA)
regulation,
all
which
participate
in
regulation
aging
process,
hence
contribute
to
aging-related
diseases.
Therefore,
understanding
mechanisms
will
provide
new
avenues
develop
strategies
delay
aging.
Indeed,
interventions
based
on
manipulating
have
led
alleviation
or
extension
lifespan
animal
models.
Small
molecule-based
therapies
reprogramming
that
enable
rejuvenation
been
developed
for
ameliorating
reversing
conditions.
In
addition,
adopting
health-promoting
activities,
such
as
caloric
restriction,
exercise,
calibrating
circadian
rhythm,
has
demonstrated
Furthermore,
various
clinical
trials
intervention
are
ongoing,
providing
more
evidence
safety
efficacy
these
therapies.
Here,
we
review
recent
work
outline
advances
age-associated
A
better
critical
roles
epigenetics
process
lead
prevention
human
therapy
Antioxidants,
Journal Year:
2023,
Volume and Issue:
12(3), P. 651 - 651
Published: March 6, 2023
Aging
is
a
complex
biological
process
accompanied
by
progressive
decline
in
the
physical
function
of
organism
and
an
increased
risk
age-related
chronic
diseases
such
as
cardiovascular
diseases,
cancer,
neurodegenerative
diseases.
Studies
have
established
that
there
exist
nine
hallmarks
aging
process,
including
(i)
telomere
shortening,
(ii)
genomic
instability,
(iii)
epigenetic
modifications,
(iv)
mitochondrial
dysfunction,
(v)
loss
proteostasis,
(vi)
dysregulated
nutrient
sensing,
(vii)
stem
cell
exhaustion,
(viii)
cellular
senescence,
(ix)
altered
communication.
All
these
alterations
been
linked
to
sustained
systemic
inflammation,
mechanisms
contribute
timing
not
clearly
determined
yet.
Nevertheless,
dysfunction
one
most
important
contributing
process.
Mitochondria
primary
endogenous
source
reactive
oxygen
species
(ROS).
During
ATP
production
elevated
ROS
together
with
antioxidant
defense.
Elevated
levels
can
cause
oxidative
stress
severe
damage
cell,
organelle
membranes,
DNA,
lipids,
proteins.
This
contributes
phenotype.
In
this
review,
we
summarize
recent
advances
emphasis
on
production.
Aging Cell,
Journal Year:
2021,
Volume and Issue:
20(10)
Published: Sept. 18, 2021
Several
biomarkers
of
healthy
aging
have
been
proposed
in
recent
years,
including
the
epigenetic
clocks,
based
on
DNA
methylation
(DNAm)
measures,
which
are
getting
increasingly
accurate
predicting
individual
biological
age.
The
recently
developed
"next-generation
clock"
DNAmGrimAge
outperforms
"first-generation
clocks"
longevity
and
onset
many
age-related
pathological
conditions
diseases.
Additionally,
total
number
stochastic
mutations
(SEMs),
also
known
as
mutation
load
(EML),
has
a
complementary
DNAm-based
biomarker
aging.
A
fundamental
property
epigenetic,
particular
DNAm
modifications,
is
potential
reversibility
effect,
raising
questions
about
possible
slowdown
by
modifying
one's
lifestyle.
Here,
we
investigated
whether
improved
dietary
habits
increased
physical
activity
favorable
effects
postmenopausal
women.
study
sample
consists
219
women
from
"Diet,
Physical
Activity,
Mammography"
(DAMA)
study:
24-month
randomized
factorial
intervention
trial
with
measured
twice,
at
baseline
end
trial.
Women
who
participated
had
significant
slowing
clock,
whereas
increasing
led
to
reduction
SEMs
crucial
cancer-related
pathways.
Our
provides
strong
evidence
causal
association
between
lifestyle
modification
down
biomarkers.
This
elucidates
relationship
aging-related
mechanisms.
Nature Aging,
Journal Year:
2022,
Volume and Issue:
3(1), P. 121 - 137
Published: Dec. 19, 2022
Abstract
The
diversity
of
cell
types
is
a
challenge
for
quantifying
aging
and
its
reversal.
Here
we
develop
‘aging
clocks’
based
on
single-cell
transcriptomics
to
characterize
cell-type-specific
rejuvenation.
We
generated
transcriptomes
from
the
subventricular
zone
neurogenic
region
28
mice,
tiling
ages
young
old.
trained
single-cell-based
regression
models
predict
chronological
age
biological
(neural
stem
proliferation
capacity).
These
clocks
are
generalizable
independent
cohorts
other
regions
brains,
species.
To
determine
if
these
could
quantify
transcriptomic
rejuvenation,
datasets
two
interventions—heterochronic
parabiosis
exercise.
Aging
revealed
that
heterochronic
exercise
reverse
in
regions,
but
different
ways.
This
study
represents
first
development
high-resolution
data
demonstrates
their
application
npj Aging,
Journal Year:
2022,
Volume and Issue:
8(1)
Published: April 19, 2022
Abstract
Several
age
predictors
based
on
DNA
methylation,
dubbed
epigenetic
clocks,
have
been
created
in
recent
years,
with
the
vast
majority
regularized
linear
regression.
This
study
explores
improvement
performance
and
interpretation
of
clocks
using
deep
learning.
First,
we
gathered
142
publicly
available
data
sets
from
several
human
tissues
to
develop
AltumAge,
a
neural
network
framework
that
is
highly
accurate
precise
predictor.
Compared
ElasticNet,
AltumAge
performs
better
for
within-data
set
cross-data
prediction,
being
particularly
more
generalizable
older
ages
new
tissue
types.
We
then
used
learning
methods
learn
which
methylation
sites
contributed
final
model
predictions.
observe
while
most
important
CpG
are
linearly
related
age,
some
highly-interacting
can
influence
relevance
such
relationships.
Using
chromatin
annotations,
show
highest
contribution
predictions
were
gene
regulatory
regions
genome,
including
proximity
CTCF
binding
sites.
also
found
age-related
KEGG
pathways
genes
containing
these
Lastly,
performed
downstream
analyses
explore
its
applicability
compare
acceleration
Horvath’s
2013
model.
our
approach
predicts
higher
tumors,
cells
exhibit
changes
vitro,
as
immune
mitochondrial
dysfunction,
samples
patients
multiple
sclerosis,
type
2
diabetes,
HIV,
among
other
conditions.
Altogether,
provides
significant
flexibility
compared
current
both
interpretability.