Consilium Medicum,
Journal Year:
2024,
Volume and Issue:
26(12), P. 809 - 814
Published: Dec. 18, 2024
Background.
Accelerated
biological
aging
is
associated
with
age-related
diseases
and
an
increased
risk
of
mortality.
Genetic
predisposition
may
be
important
factor
in
this
process.
Aim.
To
determine
the
significance
genetic
polymorphisms
VDR
COL1A1
genes
accelerated
aging.
Materials
methods.
The
study
included
100
women
aged
20–35
years,
divided
into
groups
(Group
1)
normal/slow
2)
rates.
We
assessed
age
using
V.P.
Voytenko's
formula.
analyzed
were:
283
AG
(Bsml),
2
(Fokl),
1546
GT,
-1997
CA.
Results.
(AA)
polymorphism
was
aging,
occurring
more
frequently
Group
1
(18%
vs
4%
2,
p=0.025).
CA
prevalent
(76%
56%
1,
p=0.035).
A
multifactorial
model
identified
combinations
that
predict
or
slow
accuracy
0.72.
Conclusion.
plays
a
significant
role
Analysis
can
help
identify
premature
serve
as
basis
for
further
research
development
new
approaches
to
prevent
diseases.
Allergy and Asthma Proceedings,
Journal Year:
2025,
Volume and Issue:
46(3), P. e98 - e109
Published: May 1, 2025
Background:
Recurrent
wheezing
(RW)
is
particularly
prevalent
in
preschool-age
children
and
strongly
associated
with
the
future
development
of
asthma.
Objective:
Because
no
meta-analysis
risk
factors
for
RW
comprehensively
assess
needful.
Methods:
The
research
was
conducted
accordance
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
(PRISMA)
guidelines.
A
comprehensive
search
English-language
studies
performed
across
four
medical
literature
data
bases.
Subgroup
analyses,
sensitivity
evaluations
publication
bias
were
carried
out.
Multiple
cohort
included.
Stata
software
Grading
Recommendations,
Assessment,
Development
Evaluation
(GRADE)
used
analysis;
positive
results
discussed
qualitatively.
Results:
total
15
that
covered
128,065
Some
factors,
including
allergic
rhinitis
(odds
ratio
[OR]
4.16
[95%
confidence
interval
{CI},
1.06-16.33]),
family
history
asthma
(OR
2.14
CI,
1.24-3.69]),
food
allergy
2.25
1.73-2.93]),
preterm
1.87
1.36-2.58]),
male
1.47
1.17-1.84]),
cesarean
section
1.36
1.08-1.71]),
environmental
tobacco
smoke
2.15
1.55-2.99]),
got
results.
Conclusion:
Risk
preschool
sought.
This
provides
a
new
perspective
theoretical
basis
preventing
childhood
Journal of Neurology Neurosurgery & Psychiatry,
Journal Year:
2025,
Volume and Issue:
unknown, P. jnnp - 335536
Published: Feb. 12, 2025
Background
Smoking
is
a
significant
risk
factor
for
neurological
disorders,
yet
its
global
impact
on
these
conditions
remains
underexplored.
Methods
Using
Global
Burden
of
Diseases
2021
data,
we
analysed
trends
in
age-standardised
disability-adjusted
life-years
(DALYs)
and
deaths
attributable
to
smoking
from
1990
three
disorders:
stroke,
Alzheimer’s
disease
other
dementias,
Multiple
Sclerosis.
Socioeconomic
disparities
were
assessed
using
the
lope
index
inequality
relative
concentration
index.
Bayesian
age-period-cohort
models
employed
forecast
smoking-attributable
burden
through
2050.
Results
Between
2021,
annual
DALYs
death
rates
slightly
declined
by
−1.93%
−1.92%,
respectively,
but
absolute
numbers
continued
rise,
26.10
million
30.18
0.93
1.15
deaths.
Older
adults
(aged
60
above)
experienced
greatest
burden,
contributing
58.15%
75.57%
2021.
Smoking-attributable
stroke
was
increasingly
concentrated
low
sociodemographic
regions,
whereas
dementias
multiple
sclerosis
more
pronounced
socioeconomically
advantaged
particularly
sclerosis.
Conclusions
This
study
identified
an
age-specific
widening
disorders
smoking,
with
older
disproportionately
experiencing
escalating
impact.
Targeted
prevention
equitable
healthcare
access
tailored
are
critical
mitigating
health
loss.
Journal of Zhejiang University (Medical Sciences),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 1, 2025
To
analyze
the
association
between
biological
aging
markers
phenotypic
age
and
acceleration
valvular
heart
diseases.
Research
subjects
met
inclusion
exclusion
criteria
were
selected
from
UK
Biobank
2006
to
2010.
The
calculated.
of
with
diseases
was
analyzed
Cox
multivariate
analysis,
sensitivity
analysis
conducted
by
removing
missing
values
subgroup
analysis.
predictive
accuracy
for
using
receiver
operating
characteristic
(ROC)
curves,
a
clinical
decision
curve
generated
based
on
logistic
regression.
A
total
411
687
included
in
study,
among
whom
there
14
258
patients
overall
median
follow-up
time
12.80
years,
non-rheumatic
aortic
valve
(n=5238),
mitral
(n=4558),
tricuspid
(n=411)
12.82
12.83
years
12.84
respectively.
After
adjusting
demographic
factors
(gender,
race,
education,
Townsend
deprivation
Index,
Dietary
Approaches
Stop
Hypertension
score),
anthropometric
(body
mass
index),
lifestyle
(smoking,
alcohol
consumption),
hypertension
hyperlipidemia,
showed
independent
risk
diseases,
including
(phenotypic
age:
corrected
HR=1.04,
P<0.01;
acceleration:
HR=1.03,
P<0.01),
which
also
confirmed
ROC
curves
that
compared
acceleration,
had
higher
stronger
practicality
predicting
diseases;
single
indicator,
combination
two
indicators
are
Compared
has
greater
advantage
is
more
suitable
Cardiovascular Diabetology,
Journal Year:
2025,
Volume and Issue:
24(1)
Published: April 25, 2025
Dyslipidemia
has
been
proved
to
play
a
pivotal
role
in
biological
aging.
Atherogenic
Index
of
Plasma
(AIP),
derived
from
serum
triglyceride
(TG)
and
high-density
lipoprotein
cholesterol
(HDL-C),
is
an
effective
biomarker
dyslipidemia.
However,
whether
AIP
can
be
used
as
indicator
aging
remains
unclear.
This
study
aims
investigate
the
relationship
between
US
adult
population.
4,471
American
adults
with
age
over
20
years
National
Health
Nutrition
Examination
Survey
(NHANES)
database
were
included
this
study.
Biological
was
assessed
by
phenotypic
acceleration
(PhenoAgeAccel).
Multivariable
linear
regression
models,
subgroup
analyses
interaction
tests
employed
explore
association
PhenoAgeAccel.
Furthermore,
adjusted
restricted
cubic
spline
(RCS)
assess
potential
nonlinear
relationships,
while
mediation
analysis
utilized
identify
mediating
effects
homeostatic
model
assessment
insulin
resistance
(HOMA-IR).
Besides,
network
pharmacology
performed
determine
mechanisms
underlying
dyslipidemia-related
acceleration.
A
total
participants
study,
median
chronological
age,
PhenoAge
PhenoAgeAccel
for
overall
population
49
(35-64)
years,
42.85
(27.30-59.68)
-
6.92
(-
10.52
-2.46)
respectively.
In
fully
model,
one
unit
increase
correlated
1.820-year
(β
=
1.820,
95%
CI:
1.085-2.556),
which
more
pronounced
among
individuals
being
female,
diabetic
hypertensive.
RCS
revealed
PhenoAgeAccel,
inflection
point
identified
at
-0.043
via
threshold
saturation
effect
analysis.
demonstrated
positive
correlation
both
before
6.550,
5.070-8.030)
after
3.898,
2.474-5.322)
point.
Additionally,
HOMA-IR
found
mediate
39.21%
Finally,
INS,
APOE,
APOB,
IL6,
IL10,
PPARG,
MTOR,
ACE,
PPARGC1A,
SERPINE1
core
targets
aging,
functionally
linked
key
signaling
pathways
like
AMPK,
apelin,
JAK-STAT,
FoxO,
etc.
CONCLUSIONS:
An
elevated
notably
positively
accelerated
suggesting
that
may
serve
predictor
evaluate
Journal of Translational Medicine,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: April 29, 2025
Early-life
smoking
is
linked
to
biological
aging
and
chronic
diseases,
yet
its
specific
relationship
with
cardiovascular
disease
(CVD)
risk
the
role
of
DNA
methylation
biomarkers
as
potential
mediators
that
remain
underexplored.
In
this
study,
we
analyzed
data
from
2345
participants
in
National
Health
Nutrition
Examination
Survey
(NHANES;
1999-2002).
status
was
assessed
on
basis
age
initiation
(ASI)
categorized
into
three
periods
(SIPs):
childhood
(5-14
years),
adolescence/adulthood
(>
14
never
smoked.
(DNAm
PhenoAge,
DunedinPoAm,
HorvathTelo)
were
measured,
CVD
outcomes
determined
via
self-reported,
physician-confirmed
diagnoses.
Multivariate
logistic
regression
causal
mediation
analyses
performed
assess
associations
between
SIP
explore
mediating
effects
those
associations.
Earlier
more
strongly
associated
an
increased
developing
CVD,
showing
highest
(OR
=
1.95,
95%
CI:
1.15-3.29;
P
0.013).
Furthermore,
independently
(1-year
increase
DNAm
PhenoAge:
OR
1.03,
1.01-1.05,
<
0.001;
0.1-unit
DunedinPoAm:
1.19,
1.00-1.40,
0.05;
1-kb
HorvathTelo:
0.57,
0.34-0.96,
0.05).
Subgroup
analysis
revealed
association
early-life
stronger
among
individuals
without
household
exposure
(P
for
interaction
0.035).
Moreover,
compared
status,
later
correlated
delayed
epigenetic
aging,
indicated
by
lower
PhenoAge
(β=-0.02,
-0.03--0.01,
0.01),
slower
DunedinPoAm
(β=-0.01,
-0.01--0.01,
0.001),
longer
HorvathTelo
(β
0.01,
0.01-0.01,
0.001).
Mediation
significantly
mediated
risk,
accounting
6%
total
effect
(ASI:
ACME=-0.000100,
0.010;
SIP:
ACME
0.004796,
0.022).
risk.
partially
mediates
relationship,
suggesting
a
target
prevention.
these
findings
highlight
need
early
prevention
reduce
Frontiers in Nutrition,
Journal Year:
2025,
Volume and Issue:
12
Published: May 8, 2025
This
cross-sectional
study
evaluated
the
correlation
between
serum
sodium
levels
(135-145
mmol/L)
and
biological
aging
in
U.S.
adults.
Biological
age,
derived
from
multi-system
biomarkers,
provides
a
more
accurate
assessment
of
than
chronological
age.
Hydration
balance,
reflected
by
sodium,
may
modulate
age-related
diseases
mortality,
but
its
link
to
remains
underexplored.
Using
NHANES
data
(1999-2018),
we
focused
on
normonatremic
adults
(≥20
years).
The
final
cohort
included
18,301
participants.
age
was
estimated
using
Klemera
Doubal
method,
∆age
(biological
age-chronological
age)
calculated.
Associations
were
assessed
multivariate
regression,
generalized
additive
models,
threshold
analysis.
Subgroup
analyses
conducted
for
variations
across
different
populations.
Nonlinear
analysis
revealed
U-shaped
relationship
lowest
occurred
at
139.3
mmol/L:
each
1
mmol/L
increase
below
this
associated
with
reduction
0.10
years
(95%
CI:
-0.15,
-0.05),
whereas
values
above
it
showed
0.08-year
0.04,
0.13).
For
∆age,
negative
association
observed
141.2
mmol/L,
linked
0.07-year
decrease
-0.10,
-0.04).
significant
interactions
diabetic
smoking
Maintaining
within
an
optimal
range
(138-142
help
delay
aging.
management
serve
as
modifiable
factor
healthy
aging,
particularly
high-risk
groups
such
individuals
diabetes
or
tobacco
use.