Journal of Advanced Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 1, 2024
Depression
is
a
debilitating
and
poorly
understood
mental
disorder.
There
an
urgency
to
explore
new
potential
biological
mechanisms
of
depression
the
gut
microbiota
promising
research
area.
Our
study
was
aim
understand
regional
heterogeneity
molecular
underlying
induced
by
dysbiosis
mucus-associated
microbiota.
Here,
we
only
selected
female
macaques
because
they
are
more
likely
form
natural
social
hierarchy
in
harem-like
environment.
Because
high-ranking
rarely
displayed
depressive-like
behaviors,
seven
monkeys
from
individuals
as
control
group
(HC)
same
number
low-ranking
ones
(DL),
which
significant
behaviors.
Then,
collected
mucus
duodenum,
jejunum,
ileum,
cecum
colon
DL
HC
for
shotgun
metagenomic
sequencing,
profile
biogeography
along
duodenum
colon.
Compared
with
HC,
noticeable
behaviors
such
longer
duration
huddle
sit
alone
(negative
emotion
behaviors),
fewer
locomotion,
amicable
ingestion
activities
(positive
behaviors).
Moreover,
alpha
diversity
index
(Chao)
could
predict
aforementioned
Further,
identified
that
genus
Pseudomonas
consistently
decreased
throughout
entire
intestinal
tract
except
jejunum.
Specifically,
there
were
10,
18
28
species
colon,
respectively.
bacterial
module
mainly
composed
positively
associated
three
positive
Functionally,
involved
derived
lipid
metabolisms
PPAR
signaling
pathway,
cholesterol
metabolism,
fat
digestion
absorption.
Different
regions
revealed
depletion
macaques,
might
induce
depressive
phenotypes
through
regulating
metabolism.
Journal of Translational Medicine,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: March 13, 2025
Prior
studies
have
elucidated
that
alterations
in
gut
microbiota
are
associated
with
a
spectrum
of
tumors
and
metabolic
disorders.
However,
the
diagnostic
value
epithelial
ovarian
cancer
remains
insufficiently
investigated.
A
total
34
patients
diagnosis
(EOC),
15
benign
(TB),
30
healthy
volunteers
(NOR)
were
enrolled
this
study.
Fecal
samples
collected,
followed
by
sequencing
V3–V4
region
16S
rRNA
gene.
The
clinical
data
pathological
characteristics
comprehensively
recorded
for
further
analysis,
PICRUSt2
was
utilized
to
conduct
an
analysis
microbial
functional
predictions,
WGCNA
networks
constructed
integrating
microbiome
data.
LEfSe
employed
identify
markers,
LASSO
SVM
analyses
used
screen
markers
conjunction
Cally
index,
establish
Microbial-Cally
model.
Bootstrap
resampling
internal
validation
model,
whereas
Hosmer–Lemeshow
test
decision
curve
(DCA)
evaluate
performance
Plasma
subjected
untargeted
metabolomics
profiling,
differential
key
metabolites
significantly
altered
cancer.
At
same
time,
Spearman
correlation
study
association
between
metabolites.
supernatants
from
Escherichia
coli
Bifidobacterium
cultures
co-cultured
SKOV3
cells.
Cell
proliferation,
migration,
invasion
evaluated
using
Counting
Kit-8
(CCK-8)
assay,
Transwell
migration
assays.
Apoptosis
assessed
flow
cytometry
fluorescence
signals
Annexin
V
propidium
iodide
(PI)
staining.
Compared
Nor
TB
populations,
individuals
diagnosed
EOC
demonstrated
diminished
diversity
when
contrasted
both
normal
controls
those
presenting
conditions.
Specifically,
relative
abundance
Bilophila,
Bifidobacterium,
other
probiotics
reduced
while
Shigella
marked
enrichment
within
cohort.
Differential
microorganisms
identified
through
application
machine
learning
techniques
delineate
characteristic
profiles
patients.
significant
index
microorganisms.
In
conclusion,
we
biomarkers
alongside
model
cancer,
receiver
operating
(ROC)
Area
Under
Curve
(AUC)
0.976
(95%CI
0.943–1.00),
AUC
obtained
0.974.
revealed
robust
concordance
observed
probabilities
predicted
generated
provided
net
benefit.
233
group
NT
(NOR
TB)
groups.
Among
these,
eight
specific
(HMDB0243492,
C09265,
HMDB0242046,
HMDB0240606,
C04171,
HMDB0060557,
HMDB0252797,
C21412)
exclusively
derived
microbiome.
Notably,
metabolite
HMDB0240606
exhibited
positive
Shigella,
it
showed
negative
Ruminococcus.
vitro
possessed
anti-tumor
activity,
pro-tumor
activity.
This
provides
inaugural
comprehensive
composition
its
among
tumors,
Hunan
province,
China.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 10, 2025
Abstract
The
gut
and
the
brain
have
shown
to
be
linked
through
a
multimodal,
bidirectional
pathway
called
gut-brain
axis.
In
gut-to-brain
way,
microbiota
has
been
main
factor.
physiological
biochemical
mechanisms
of
this
communication
described
in
detail,
altered
many
neurological
psychiatric
conditions.
However,
it
is
unknown
how
influences
activity,
especially
healthy
condition.
By
clustering
older
people
by
their
corresponding
microbiome
comparing
spontaneous
cortical
we
demonstrate
that
different
unaltered
profiles
are
associated
with
activity
medial
posterior
areas.
These
areas
memory,
language
emotion
processing
abilities.
Therefore,
provide
evidence
normal
modulate
related
cognitive
functions
typically
decline
age.
This
implies
nutritional
interventions
modify
composition
could
help
delay
or
ameliorate
natural
age-related
decline.
Inflammatory Bowel Diseases,
Journal Year:
2023,
Volume and Issue:
30(3), P. 336 - 346
Published: Aug. 31, 2023
Abstract
Background
Stress
reactivity
(SR)
is
associated
with
increased
risk
of
flares
in
ulcerative
colitis
(UC)
patients.
Because
both
preclinical
and
clinical
data
support
that
stress
can
influence
gut
microbiome
composition
function,
we
investigated
whether
profiles
SR
exist
UC.
Methods
Ninety-one
UC
subjects
biochemical
remission
were
classified
into
high
low
groups
by
questionnaires.
Baseline
longitudinal
characterization
the
intestinal
was
performed
16S
rRNA
gene
sequencing
fecal
plasma
global
untargeted
metabolomics.
Microbe,
metabolite,
metabolite
abundances
analyzed
separately
to
create
random
forest
classifiers
for
biomarker-derived
scores.
Results
High
characterized
altered
abundance
microbes,
primarily
Ruminococcaceae
Lachnospiraceae
families;
metabolites
including
reduced
levels
monoacylglycerols
(endocannabinoid-related)
bile
acids;
4-ethyl
phenyl
sulfate,
1-arachidonoylglycerol
(endocannabinoid),
sphingomyelin.
Classifiers
generated
from
baseline
microbe,
distinguished
vs
area
under
receiver
operating
characteristic
curve
0.81,
0.83,
0.91,
respectively.
scores
derived
these
significantly
flare
during
6
24
months
follow-up,
odds
ratios
3.8,
4.1,
4.9.
Clinical
inflammation
did
not
alter
microbial
but
attenuated
differences
between
SR.
Conclusions
signatures
predict
risk,
suggesting
may
contribute
stress-induced
flares.
Journal of Advanced Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 1, 2024
Depression
is
a
debilitating
and
poorly
understood
mental
disorder.
There
an
urgency
to
explore
new
potential
biological
mechanisms
of
depression
the
gut
microbiota
promising
research
area.
Our
study
was
aim
understand
regional
heterogeneity
molecular
underlying
induced
by
dysbiosis
mucus-associated
microbiota.
Here,
we
only
selected
female
macaques
because
they
are
more
likely
form
natural
social
hierarchy
in
harem-like
environment.
Because
high-ranking
rarely
displayed
depressive-like
behaviors,
seven
monkeys
from
individuals
as
control
group
(HC)
same
number
low-ranking
ones
(DL),
which
significant
behaviors.
Then,
collected
mucus
duodenum,
jejunum,
ileum,
cecum
colon
DL
HC
for
shotgun
metagenomic
sequencing,
profile
biogeography
along
duodenum
colon.
Compared
with
HC,
noticeable
behaviors
such
longer
duration
huddle
sit
alone
(negative
emotion
behaviors),
fewer
locomotion,
amicable
ingestion
activities
(positive
behaviors).
Moreover,
alpha
diversity
index
(Chao)
could
predict
aforementioned
Further,
identified
that
genus
Pseudomonas
consistently
decreased
throughout
entire
intestinal
tract
except
jejunum.
Specifically,
there
were
10,
18
28
species
colon,
respectively.
bacterial
module
mainly
composed
positively
associated
three
positive
Functionally,
involved
derived
lipid
metabolisms
PPAR
signaling
pathway,
cholesterol
metabolism,
fat
digestion
absorption.
Different
regions
revealed
depletion
macaques,
might
induce
depressive
phenotypes
through
regulating
metabolism.