Metabolites,
Journal Year:
2023,
Volume and Issue:
13(4), P. 569 - 569
Published: April 17, 2023
Brain
glucose
hypometabolism
is
an
early
sign
of
Alzheimer’s
disease
(AD),
and
interventions
which
offset
this
deficit,
such
as
ketogenic
diets,
show
promise
AD
therapeutics.
Conversely,
high-fat
feeding
may
exacerbate
risk.
We
analyzed
the
metabolomic
profile
cerebrospinal
fluid
(CSF)
in
a
pilot
study
older
adults
who
underwent
saline
triglyceride
(TG)
infusions.
Older
(12
cognitively
normal
(CN),
age
65.3
±
8.1,
9
with
cognitive
impairment
(CI),
70.9
8.6)
5
h
TG
or
infusion
on
different
days
using
random
crossover
design;
CSF
was
collected
at
end
infusion.
Aqueous
metabolites
were
measured
targeted
mass
spectroscopy
(MS)
platform
focusing
215
from
over
35
metabolic
pathways.
Data
MetaboAnalyst
4.0
SAS.
Of
metabolites,
99
detectable
CSF.
Only
one
metabolite
significantly
differed
by
treatment:
ketone
body
3-hydroxybutyrate
(HBA).
Post
hoc
analyses
showed
that
HBA
levels
associated
markers
syndrome
demonstrated
correlation
patterns
for
two
treatments.
When
diagnosis
group,
TG-induced
increases
3
times
higher
those
(change
score
CN
+9.8
uM
8.3,
CI
+32.4
7.4,
p
=
0.0191).
Interestingly,
individuals
had
after
than
cognition.
These
results
suggest
increase
plasma
ketones
lead
to
brain
groups
risk
should
be
confirmed
larger
intervention
studies.
Bipolar Disorders,
Journal Year:
2024,
Volume and Issue:
26(4), P. 321 - 330
Published: Feb. 7, 2024
Abstract
Background
Ketamine
is
increasingly
used
for
treatment‐resistant
depression
(TRD)
while
its
mechanism
of
action
still
being
investigated.
In
this
systematic
review,
we
appraise
the
current
evidence
metabolomic
biomarkers
racemic
ketamine
and
esketamine
in
patients
with
TRD
healthy
controls
(HCs).
Methods
A
comprehensive
search
several
databases
(Ovid
MEDLINE®,
Embase,
Epub
Ahead
Print)
was
performed
from
each
database's
inception
to
June
29,
2022,
any
language,
conducted.
We
included
studies
wherein
or
were
investigated
HCs.
Our
main
outcomes
examine
changes
metabolites
among
treated
ketamine/esketamine
explore
association
response
ketamine/esketamine.
Results
total
1859
abstracts
screened
which
11
full‐text
review.
Of
these,
a
five
articles
(
N
=
147),
including
three
RCTs
n
129)
two
open‐label
trials
18).
All
ketamine;
one
study
additionally
esketamine.
The
evaluated
bipolar
22),
unipolar
91),
HCs
34).
reported
alteration
acylcarnitines,
lipids,
kynurenine
(KYN),
arginine
TRD.
Studies
suggest
involvement
energy
metabolism,
KYN,
pathways.
HCs,
acetylcarnitine
decreased
post‐infusion,
whereas
inconsistent
findings
observed
after
infusion
patients.
Conclusions
This
review
provides
preliminary
that
may
cause
important
pathways
involved
metabolism
inflammation.
Larger
more
rigorous
are
needed.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 11, 2024
Huntington's
disease
(HD)
is
increasingly
recognized
for
diverse
pathology
outside
of
the
nervous
system.
To
describe
biology
HD
in
relation
to
functional
progression,
we
previously
analyzed
plasma
and
CSF
metabolome
a
cross-sectional
study
participants
who
had
various
degrees
impairment.
Here,
carried
out
an
exploratory
from
individuals
over
3-year
time
frame
assess
whether
differences
exist
between
those
with
fast
or
absent
clinical
progression.
There
were
more
circulating
metabolite
levels
progressors
compared
(111
vs
20,
nominal
p
<
0.05).
All
changes
faster
decreases,
whereas
some
concentrations
increased
progressors.
Many
that
decreased
higher
at
Screening
but
ended
up
lower
by
Year
3.
Changes
progression
suggest
greater
oxidative
stress
inflammation
(kynurenine,
diacylglycerides,
cysteine),
disturbances
nitric
oxide
urea
metabolism
(arginine,
citrulline,
ornithine,
GABR),
polyamines
(putrescine
spermine),
elevated
glucose,
deficient
AMPK
signaling.
Metabolomic
possibility
predicting
decline
HD,
possibly
delaying
it
interventions
augment
arginine,
polyamines,
glucose
regulation.
Neuroscience Letters,
Journal Year:
2024,
Volume and Issue:
831, P. 137791 - 137791
Published: April 24, 2024
The
antidepressant
effects
of
ketamine
and
esketamine
are
well-documented.
Nonetheless,
most
the
underlying
molecular
mechanisms
have
to
be
uncovered
yet.
In
last
decade,
metabolomics
has
emerged
as
a
useful
means
investigate
metabolic
phenotype
associated
with
depression
well
changes
induced
by
treatments.
This
mini-review
aims
at
summarizing
main
findings
from
preclinical
clinical
studies
that
used
subanesthetic,
doses
their
relationship
response.
Both
animal
human
report
alterations
in
several
pathways
–
including
tricarboxylic
acid
cycle,
glycolysis,
pentose
phosphate
pathway,
lipid
metabolism,
amino
kynurenine
urea
cycle
following
administration
or
its
enantiomers.
Although
more
research
is
needed
clarify
commonalities
differences
action
between
racemic
compound
enantiomers,
these
comprehensively
support
an
influence
on
mitochondrial
cellular
energy
production,
membrane
homeostasis,
neurotransmission,
signaling.
Metabolomics
may
thus
represent
promising
strategy
treatment-resistant
related
markers
response
esketamine.
body
evidence,
if
further
substantiated,
potential
guide
clinicians
towards
personalized
approaches,
contributing
new
paradigms
management
depression.
Aging Cell,
Journal Year:
2023,
Volume and Issue:
23(1)
Published: June 23, 2023
Abstract
The
study
of
age‐related
biomarkers
from
different
biofluids
and
tissues
within
the
same
individual
might
provide
a
more
comprehensive
understanding
changes
between
compartments
as
these
are
likely
highly
interconnected.
Understanding
differences
by
may
shed
light
on
mechanism
their
reciprocal
interactions,
which
contribute
to
phenotypic
manifestations
aging.
To
such
possible
we
carried
out
targeted
metabolomic
analysis
plasma,
skeletal
muscle,
urine
collected
healthy
participants,
age
22–92
years,
identified
92,
34,
35
age‐associated
metabolites,
respectively.
metabolic
pathways
that
were
across
included
inflammation
cellular
senescence,
microbial
metabolism,
mitochondrial
health,
sphingolipid
lysosomal
membrane
permeabilization,
vascular
aging,
kidney
function.
Discover Mental Health,
Journal Year:
2024,
Volume and Issue:
4(1)
Published: April 17, 2024
Abstract
Depression
is
a
disorder
with
variable
presentation.
Selecting
treatments
and
dose-finding
is,
therefore,
challenging
time-consuming.
In
addition,
novel
antidepressants
such
as
ketamine
have
sparse
optimization
evidence.
Insights
obtained
from
metabolomics
may
improve
the
management
of
patients.
The
objective
this
study
was
to
determine
whether
compounds
in
cerebrospinal
fluid
(CSF)
metabolome
correlate
scores
on
questionnaires
response
medication.
We
performed
retrospective
pilot
evaluate
phenotypic
metabolomic
variability
patients
treatment-resistant
depression
using
multivariate
data
compression
algorithms.
Twenty-nine
provided
fasting
CSF
samples.
Over
300
metabolites
were
analyzed
these
samples
liquid
chromatography-mass
spectrometry.
Chart
review
basic
demographic
information,
clinical
status
self-reported
questionnaires,
Of
analyzed,
151
present
all
used
analyses.
Hypothesis-free
analysis
compressed
resultant
set
into
two
dimensions
Principal
Component
(PC)
analysis,
accounting
for
~
32%
variance.
PC1
accounted
16.9%
variance
strongly
correlated
age
one
direction
5-methyltetrahydrofolate,
homocarnosine,
anxiety
opposite
direction.
PC2
15.4%
variance,
end
autism
scores,
male
gender,
cognitive
fatigue
other
bipolar
diagnosis,
lithium
use,
ethylmalonate
disturbance.
This
small
suggests
that
complex
can
be
mapped
onto
2-dimensional
pathophysiological
domain.
results
implications
treatment
selection
subtypes.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2024,
Volume and Issue:
379(1906)
Published: June 10, 2024
Substantial
clinical
evidence
has
unravelled
the
superior
antidepressant
efficacy
of
ketamine:
in
comparison
to
traditional
antidepressants
targeting
monoamine
systems,
ketamine,
as
an
Aging Cell,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 10, 2025
Physical
function
declines
with
aging,
yet
there
is
considerable
heterogeneity,
some
individuals
declining
very
slowly
while
others
experience
accelerated
functional
decline.
To
gain
insight
into
mechanisms
promoting
high
physical
we
performed
proteomics,
targeted
metabolomics,
and
kynurenine-focused
metabolomic
analyses
on
serum
specimens
from
three
groups
of
octogenarians:
High-functioning
master
athletes
(HF,
n
=
16),
healthy
normal-functioning
non-athletes
(NF,
12),
lower
functioning
(LF,
11).
Higher
performance
status
was
associated
evidence
consistent
with:
Lower
levels
circulating
proinflammatory
markers,
as
well
unperturbed
tryptophan
metabolism,
the
normal
kynurenic
pathway;
higher
lysophosphatidylcholines
that
have
been
previously
better
mitochondrial
oxidative
capacity;
activity
integrated
stress
response;
SASP
protein
members;
proteins
reflect
neurodegeneration/denervation.
Extending
observations
previous
studies
focused
biomarkers
aging
predict
poor
function,
our
findings
show
many
same
exhibit
attenuated
changes
in
those
who
maintain
a
function.
Because
cross-sectional
nature
this
study,
results
should
be
interpreted
caution,
bidirectional
causality,
where
behavior
both
cause
outcome
differences
biomarker
changes,
remains
possible
interpretation.
Frontiers in Pharmacology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 27, 2025
Introduction
The
incidence
and
mortality
rate
from
depression
are
increasing
year
by
year,
has
become
the
main
cause
of
global
health
loss
disability.
Currently,
treatment
mainly
relies
on
drug
intervention.
However,
vast
majority
antidepressants
exhibit
significant
pharmacological
variability,
resulting
in
individual
differences
steady-state
blood
concentrations
even
with
same
dosing
regimen
among
patients.
Therefore,
using
therapeutic
monitoring
(TDM)
to
guide
precise
use
important
clinical
significance.
Methods
In
this
paper,
we
developed
a
high-performance
liquid
chromatography–tandem
mass
spectrometry
(HPLC–MS/MS)
method
study
simultaneously
TDM
pharmacokinetics
23
active
metabolites:
sertraline,
escitalopram,
fluvoxamine,
paroxetine,
duloxetine,
milnacipran,
fluoxetine,
venlafaxine,
O-desmethylvenlafaxine,
mirtazapine,
trazodone,
bupropion,
hydroxybupropione,
norfluoxetine,
vortioxetine,
agomelatine,
mianserin,
doxepine,
desmethyldoxepin,
clomipramine,
desmethylclomipramine,
amitriptyline
nortriptyline
hydrochloride.
After
protein
precipitation
serum
samples
acetonitrile,
isotope
internal
standards
(ISs),
metabolites
were
separated
ZORBAX
Eclipse
Plus
C18
column
(50.0
mm
×
2.1
mm,
1.7
µm)
water
containing
0.1%
formic
acid
10
mmol/L
ammonium
acetate
methanol
acid.
Validation
was
carried
out
based
Chinese
Pharmacopoeia
guidelines
for
bioanalytical
validation,
including
assessment
specificity,
calibration
curves,
carryover,
accuracy,
crosstalk,
precision,
stability,
recovery,
dilution
integrity
matrix
effect.
Results
results
showed
that
simple,
fast,
reliable
specific
HPLC'MS/MS
validated,
all
performance
characteristics
met
requirements,
which
could
be
used
above
metabolites.
World Journal of Psychiatry,
Journal Year:
2025,
Volume and Issue:
15(5)
Published: April 30, 2025
BACKGROUND
Major
depressive
disorder
(MDD)
is
characterized
by
persistent
depressed
mood
and
cognitive
symptoms.
This
study
aimed
to
discover
biomarkers
for
MDD,
explore
its
pathological
mechanisms,
examine
the
associations
of
identified
with
clinical
psychological
variables.
AIM
To
candidate
MDD
identification
provide
insight
into
mechanism
MDD.
METHODS
The
current
adopted
a
single-center
cross-sectional
case-control
design.
Serum
samples
were
obtained
from
100
individuals
diagnosed
97
healthy
controls
(HCs)
aged
between
18
60
years.
Metabolomics
was
performed
on
an
Ultimate
3000
UHPLC
system
coupled
Q-Exactive
MS
(Thermo
Scientific).
online
software
Metaboanalyst
6.0
used
process
analyze
acquired
raw
data
peak
intensities
instrument.
RESULTS
included
patients
HCs.
Metabolomic
profiling
35
significantly
different
metabolites
(e.g.
,
cortisol,
sebacic
acid,
L-glutamic
acid).
Receiver
operating
characteristic
curve
analysis
highlighted
8-HETE,
10-HDoHE,
12-HHTrE,
10-hydroxydecanoic
acid
as
top
diagnostic
Significant
correlations
found
some
lipids,
steroids,
amino
acids)
CONCLUSION
Our
reported
(some
acids,
carnitines,
alkaloids)
responsible
discriminating
metabolite
profile
may
enable
development
laboratory-based
test
mechanisms
underlying
association
or
variables
differential
deserve
further
exploration.