NMR metabolomic modeling of age and lifespan: A multicohort analysis
Aging Cell,
Journal Year:
2024,
Volume and Issue:
23(7)
Published: April 18, 2024
Abstract
Metabolomic
age
models
have
been
proposed
for
the
study
of
biological
aging,
however,
they
not
widely
validated.
We
aimed
to
assess
performance
newly
developed
and
existing
nuclear
magnetic
resonance
spectroscopy
(NMR)
metabolomic
prediction
chronological
(CA),
mortality,
age‐related
disease.
Ninety‐eight
metabolic
variables
were
measured
in
blood
from
nine
UK
Finnish
cohort
studies
(
N
≈31,000
individuals,
range
24–86
years).
used
nonlinear
penalized
regression
model
CA
time
all‐cause
mortality.
examined
associations
four
new
two
previously
published
models,
with
aging
risk
factors
phenotypes.
Within
Biobank
≈102,000),
we
tested
CA,
incident
disease
(cardiovascular
(CVD),
type‐2
diabetes
mellitus,
cancer,
dementia,
chronic
obstructive
pulmonary
disease),
Seven‐fold
cross‐validated
Pearson's
r
between
ranged
0.47
0.65
training
set
(mean
absolute
error:
8–9
adjusted
associated
C‐reactive
protein,
inversely
glomerular
filtration
rate.
Positively
included
obesity,
diabetes,
smoking,
physical
inactivity.
In
Biobank,
correlations
modest
=
0.29–0.33),
yet
all
scores
predicted
mortality
(hazard
ratios
1.01
1.06/metabolomic
year)
CVD,
after
adjustment
CA.
While
only
moderately
an
independent
population,
provided
additional
morbidity
over
itself,
suggesting
their
wider
applicability.
Language: Английский
Decoding aging clocks: New insights from metabolomics
Cell Metabolism,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 1, 2024
Language: Английский
Assessing Metabolic Ageing via DNA Methylation Surrogate Markers: A Multicohort Study in Britain, Ireland and the USA
Aging Cell,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 20, 2025
ABSTRACT
Metabolomics
and
epigenomics
have
been
used
to
develop
‘ageing
clocks’
that
assess
biological
age
identify
‘accelerated
ageing’.
While
metabolites
are
subject
short‐term
variation,
DNA
methylation
(DNAm)
may
capture
longer‐term
metabolic
changes.
We
aimed
a
hybrid
DNAm‐metabolic
clock
using
DNAm
as
metabolite
surrogates
(‘DNAm‐metabolites’)
for
prediction.
Within
the
UK
Airwave
cohort
(
n
=
820),
we
developed
by
regressing
594
on
selected
177
193
construct
‘DNAm‐metabolic’
‘metabolic’
clocks.
evaluated
clocks
in
their
prediction
association
with
noncommunicable
disease
risk
factors.
additionally
validated
of
health
outcomes
The
Irish
Longitudinal
Study
Ageing
(TILDA,
488)
Health
Retirement
(HRS,
4018).
Around
70%
showed
significant
correlations
(Pearson's
r
:
>
0.30,
p
<
10
−4
)
test
set
overall
stronger
associations
than
metabolites.
was
enriched
traits
associated
0.05)
male
sex,
heavy
drinking,
anxiety,
depression
trauma.
In
TILDA
HRS,
predicted
0.73
0.69),
disability
gait
speed
0.05).
it
time
death,
diabetes,
cardiovascular
disease,
frailty
grip
strength.
facilitate
studies
only
data.
Clocks
built
from
provided
novel
approach
ageing,
potentially
enabling
early
detection
metabolic‐related
diseases
personalised
medicine.
Language: Английский
Decoding brain aging trajectory: predictive discrepancies, genetic susceptibilities, and emerging therapeutic strategies
Yulia K. Komleva,
No information about this author
K. A. Shpiliukova,
No information about this author
N. I. Bondar
No information about this author
et al.
Frontiers in Aging Neuroscience,
Journal Year:
2025,
Volume and Issue:
17
Published: March 19, 2025
The
global
extension
of
human
lifespan
has
intensified
the
focus
on
aging,
yet
its
underlying
mechanisms
remain
inadequately
understood.
article
highlights
aspects
genetic
susceptibility
to
impaired
brain
bioenergetics,
trends
in
age-related
gene
expression
related
neuroinflammation
and
senescence,
impact
stem
cell
exhaustion
quiescence
accelerated
aging.
We
also
review
accumulation
senescent
cells,
mitochondrial
dysfunction,
metabolic
disturbances
as
central
pathological
processes
emphasizing
how
these
factors
contribute
inflammation
disrupt
cellular
competition
defining
aging
trajectory.
Furthermore,
we
discuss
emerging
therapeutic
strategies
future
potential
integrating
advanced
technologies
refine
assessments.
combination
several
methods
including
analysis,
neuroimaging
techniques,
cognitive
tests
digital
twins,
offer
a
novel
approach
by
simulating
monitoring
individual
health
trajectories,
thereby
providing
more
accurate
personalized
insights.
Conclusively,
estimation
trajectories
is
crucial
for
understanding
managing
processes,
potentially
transforming
preventive
improve
outcomes
populations.
Language: Английский
Spatial Insights in Cardiovascular Aging
Aging and Disease,
Journal Year:
2025,
Volume and Issue:
unknown, P. 0 - 0
Published: Jan. 1, 2025
Language: Английский
Metabolomic changes in children with autism
Mohammed Al‐Beltagi,
No information about this author
Nermin Kamal Saeed,
No information about this author
Adel Salah Bediwy
No information about this author
et al.
World Journal of Clinical Pediatrics,
Journal Year:
2024,
Volume and Issue:
13(2)
Published: June 7, 2024
Autism
spectrum
disorder
(ASD)
is
a
neurodevelopmental
condition
characterized
by
deficits
in
social
communication
and
repetitive
behaviors.
Metabolomic
profiling
has
emerged
as
valuable
tool
for
understanding
the
underlying
metabolic
dysregulations
associated
with
ASD.
Language: Английский
NMR metabolomic modelling of age and lifespan: a multi-cohort analysis
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 8, 2023
Metabolomic
age
models
have
been
proposed
for
the
study
of
biological
aging,
however
they
not
widely
validated.
We
aimed
to
assess
performance
newly
developed
and
existing
nuclear
magnetic
resonance
spectroscopy
(NMR)
metabolomic
prediction
chronological
(CA),
mortality,
age-related
disease.
98
metabolic
variables
were
measured
in
blood
from
nine
UK
Finnish
cohort
studies
(N
≈
31,000
individuals,
range
24-86
years).
used
non-linear
penalised
regression
model
CA
time
all-cause
mortality.
examined
associations
four
new
two
previously
published
models,
with
ageing
risk
factors
phenotypes.
Within
Biobank
(N≈
102,000),
we
tested
CA,
incident
disease
(cardiovascular
(CVD),
type-2
diabetes
mellitus,
cancer,
dementia,
chronic
obstructive
pulmonary
disease)
Cross-validated
Pearson's
Language: Английский
An introduction to personalized medicine
Therapeutic Drug Monitoring,
Journal Year:
2024,
Volume and Issue:
unknown, P. 331 - 354
Published: Jan. 1, 2024
Pharmacogenetic
testing
(PGx),
a
necessary
component
of
personalized
medicine,
is
powerful
tool
to
assist
in
prescribing
safe
and
efficacious
medications
individual
patients.
PGx
utilizes
the
information
provided
by
an
individual's
unique
genetic
makeup
potentially
predict
both
pharmacokinetic
profiles
pharmacodynamic
response
for
increasing
number
xenobiotics.
This
chapter
will
provide
broad
overview
pharmacogenetic
approaches.
More
recent
pharmacogenomics
approaches
discoveries,
such
as
genome-wide
association
studies
pathway
analyses
candidate
genes,
also
be
discussed.
comment
on
challenges
advantages
integrating
part
medicine
philosophy,
which
advocates
rational,
individualized
pharmacotherapy.
Language: Английский
Astragalus polysaccharide alleviates asthma by modulating gut microbiota and serum metabolomics
Jie Zhang,
No information about this author
Ming Guan,
No information about this author
Suling Wu
No information about this author
et al.
Biomedical Reports,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: Nov. 13, 2024
The
aim
of
the
present
study
was
to
examine
effects
Astragalus
polysaccharide
(APS)
on
gut
microbiota
and
serum
metabolites
in
asthmatic
mice.
For
this
purpose,
a
total
36
BALB/c
female
mice
were
selected
randomly
classified
into
following
groups:
i)
normal
control
group
sensitized
with
phosphate‑buffered
saline;
ii)
asthma
challenged
ovalbumin
(OVA);
iii)
OVA
+
APS
(2.5
g/kg)
treatment
group;
iv)
(5.0
v)
(10
vi)
dexamethasone
(2
mg/kg)
group,
6
each
group.
used
establish
mouse
model
asthma.
In
intragastrically
administered
at
various
doses
1
h
prior
stimulation.
airway
hyperreactivity
(AHR)
measured,
hematoxylin
eosin
staining
employed
evaluate
pulmonary
inflammatory
infiltration.
addition,
16S
rRNA
sequencing
ultra‑performance
liquid
chromatography‑tandem
mass
spectrometry
detect
changes
metabolites.
results
revealed
that
compared
improved
inflammation
eosinophil
infiltration
mice,
microbial
imbalance
mainly
manifested
as
low
abundance
Bacteroidetes
high
Firmicutes,
yielding
an
increased
F/B
ratio.
high‑dose
Firmicutes
reduced,
increased,
which
thereby
decreased
ratio
corrected
imbalance.
Through
blood
metabolomics,
145
105
significantly
differential
detected
medium‑
groups,
respectively.
Moreover,
Kyoto
Encyclopedia
Genes
Genomes
pathway
enrichment
analysis
demonstrated
metabolic
pathways
medium‑dose
included
biosynthesis
unsaturated
fatty
acids
arginine.
On
other
hand,
enriched
acids,
pyrimidine
metabolism.
whole,
demonstrates
may
regulate
improve
AHR
Language: Английский
Transcutaneous intravascular laser irradiation of blood affects plasma metabolites of women
Enzo Martins Benevento,
No information about this author
Fabíola Socorro Silva Lisboa,
No information about this author
Luisa de Oliveira Kaneko
No information about this author
et al.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Dec. 1, 2024
The
effectiveness
of
indirect
Intravascular
laser
irradiation
blood
(ILIB)
is
not
fully
understood.
In
this
study,
we
provided
a
novel
experiment
that
employs
metabolomics
to
investigate
the
effects
ILIB
in
women.
Twenty-eight
volunteers
underwent
and
had
their
plasma
collected
before
after
procedure.
was
applied
at
radial
artery
for
30
min,
using
low-power
photobiomodulation
(660
nm),
power
output
0.1
W.
Plasma
samples
were
extracted
analyzed
liquid
chromatography—high-resolution
mass
spectrometry
an
untargeted
approach.
Partial
Least
Squares
Discriminant
Analysis
revealed
151
molecules
with
Variable
Projection
score
≥
1.
From
these,
26
identified.
After
checking
related
dietary
intake,
fasting,
medication,
or
part
human
exposome,
15
affected
by
ILIB.
abundances
Estradiol
17b-glucuronide
3-sulfate,
CAR
14:3,
PI
22:6/PGJ2,
12:1
significantly
increased
ILIB,
while
AcylGlcADG
62:9,
Tyrosyl-Glutamine,
CDP-DG
22:3/PGF1
contrary
effect.
shown
modulate
from
different
chemical
classes,
although
its
impact
on
metaboloma
minimal.
Further
research
warranted
elucidate
implications
these
findings
across
various
metabolic
pathways,
thus
advancing
science
surrounding
Language: Английский