Alzheimer s & Dementia,
Journal Year:
2023,
Volume and Issue:
19(11), P. 4852 - 4862
Published: April 9, 2023
Abstract
Introduction
We
explored
whether
volatile
organic
compound
(VOC)
detection
can
serve
as
a
screening
tool
to
distinguish
cognitive
dysfunction
(CD)
from
cognitively
normal
(CN)
individuals.
Methods
The
function
of
1467
participants
was
assessed
and
their
VOCs
were
detected.
Six
machine
learning
algorithms
conducted
the
performance
determined.
plasma
neurofilament
light
chain
(NfL)
measured.
Results
Distinguished
VOC
patterns
existed
between
CD
CN
groups.
model
showed
good
accuracy
with
an
area
under
receiver‐operating
characteristic
curve
(AUC)
0.876.
In
addition,
we
found
that
10
ions
significant
differences
individuals
(
p
<
0.05);
three
significantly
related
NfL
0.005).
Moreover,
combination
best
discriminating
power
(AUC
=
0.877).
Discussion
Detection
exhaled
breath
samples
has
potential
provide
novel
solution
for
dilemma
screening.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(7), P. 3679 - 3679
Published: March 26, 2024
The
gut–brain
axis
is
increasingly
understood
to
play
a
role
in
neuropsychiatric
disorders.
probiotic
bacterium
Lactobacillus
(L.)
reuteri
and
products
of
tryptophan
degradation,
specifically
the
neuroactive
kynurenine
pathway
(KP)
metabolite
kynurenic
acid
(KYNA),
have
received
special
attention
this
context.
We,
therefore,
assessed
relevant
features
KP
metabolism,
namely,
cellular
uptake
pivotal
its
conversion
primary
KYNA,
3-hydroxykynurenine
anthranilic
L.
by
incubating
bacteria
Hank’s
Balanced
Salt
solution
vitro.
Kynurenine
readily
entered
bacterial
cells
was
preferentially
converted
which
promptly
released
into
extracellular
milieu.
De
novo
production
KYNA
increased
linearly
with
increasing
concentrations
(up
1
mM)
(107
109
CFU/mL)
incubation
time
(1–3
h).
neosynthesis
blocked
two
selective
inhibitors
mammalian
aminotransferase
II
(PF-048559989
BFF-122).
In
contrast
mammals,
however,
not
influenced
other
substrates
large
neutral
amino
transporter,
affected
presumed
competitive
enzyme
(glutamine
α-aminoadipate).
Taken
together,
these
results
reveal
substantive
qualitative
differences
between
metabolism.
Microbial Biotechnology,
Journal Year:
2025,
Volume and Issue:
18(1)
Published: Jan. 1, 2025
ABSTRACT
Advancing
microbiome–gut–brain
axis
science
requires
systematic,
rational
and
translational
approaches
to
bridge
the
critical
knowledge
gaps
currently
preventing
full
exploitation
of
gut
microbiome
as
a
tractable
therapeutic
target
for
gastrointestinal,
mental
brain
health.
Current
research
is
still
marked
by
many
open
questions
that
undermine
widespread
application
humans.
For
example,
lack
mechanistic
understanding
probiotic
effects
means
it
remains
unclear
why
even
apparently
closely
related
strains
exhibit
different
in
vivo.
live
microbial
psychobiotics,
consensus
on
their
adjunct
treatments
conventional
neuromodulators,
use
unmedicated
populations
or
at‐risk
cohorts
with
sub‐clinical
symptomatology
warranted.
This
missing
information
both
sides
equation
when
treating
central
nervous
system
(CNS)
conditions
makes
psychobiotic
challenging,
especially
compared
other
pharmaceutical
functional
food
approaches.
Expediting
transition
from
positive
preclinical
data
proven
benefits
humans
includes
interpreting
promises
pitfalls
animal
behavioural
assays,
well
navigating
mechanism‐informed
decision
making
select
right
microbe(s)
job.
In
this
review,
we
consider
how
these
decisions
can
be
supported
light
accrued
range
clinical
studies
across
healthy,
pathological
study
populations,
where
specific
have
been
evaluated
context
gastrointestinal
physiology,
function
behaviour.
Examples
successful,
partial
unsuccessful
translation
bench
bedside
are
considered.
We
also
discuss
developments
silico
analyses
enhanced
our
moved
towards
pinpointing
host–microbe
interactions
most
important
optimal
gut–brain
function.
Combining
assays
vitro
ex
vivo
domains
incorporating
model
organisms
prime
discovery
pipelines
promising
rationally
selected
candidates.
Nephrology Dialysis Transplantation,
Journal Year:
2025,
Volume and Issue:
40(Supplement_2), P. ii4 - ii17
Published: March 1, 2025
ABSTRACT
Cognitive
decline
is
frequently
seen
in
patients
with
chronic
kidney
disease
(CKD).
The
causes
of
cognitive
these
are
likely
to
be
multifactorial,
including
vascular
disease,
uraemic
toxins,
blood–brain
barrier
leakage,
and
metabolic
endocrine
changes.
Gut
dysbiosis
common
CKD
contributes
the
increase
toxins.
However,
gut
microbiome
modulates
local
systemic
levels
several
metabolites
such
as
short-chain
fatty
acids
or
derivatives
tryptophan
metabolism,
neurotransmitters,
endocannabinoid-like
mediators,
bile
acids,
hormones
glucagon-like
peptide
1
(GLP1)
cholecystokinin
(CCK).
These
factors
can
affect
function,
immunity,
autonomic
nervous
system
activity
various
aspects
brain
function.
Key
areas
include
integrity,
nerve
myelination
survival/proliferation,
appetite,
metabolism
thermoregulation,
mood,
anxiety
depression,
stress
inflammation.
Alterations
composition
microbiota
production
biologically
active
well
documented
favoured
by
low-fiber
diets,
elevated
urea
levels,
sedentary
lifestyles,
slow
stool
transit
times
polypharmacy.
In
turn,
modulate
function
processes,
discussed
this
review.
Thus,
may
contribute
alterations
cognition
a
target
for
therapeutic
interventions
using
diet,
prebiotics
probiotics.
Alzheimer s & Dementia,
Journal Year:
2023,
Volume and Issue:
19(11), P. 4852 - 4862
Published: April 9, 2023
Abstract
Introduction
We
explored
whether
volatile
organic
compound
(VOC)
detection
can
serve
as
a
screening
tool
to
distinguish
cognitive
dysfunction
(CD)
from
cognitively
normal
(CN)
individuals.
Methods
The
function
of
1467
participants
was
assessed
and
their
VOCs
were
detected.
Six
machine
learning
algorithms
conducted
the
performance
determined.
plasma
neurofilament
light
chain
(NfL)
measured.
Results
Distinguished
VOC
patterns
existed
between
CD
CN
groups.
model
showed
good
accuracy
with
an
area
under
receiver‐operating
characteristic
curve
(AUC)
0.876.
In
addition,
we
found
that
10
ions
significant
differences
individuals
(
p
<
0.05);
three
significantly
related
NfL
0.005).
Moreover,
combination
best
discriminating
power
(AUC
=
0.877).
Discussion
Detection
exhaled
breath
samples
has
potential
provide
novel
solution
for
dilemma
screening.