Skin Research and Technology,
Год журнала:
2024,
Номер
30(7)
Опубликована: Июль 1, 2024
Abstract
Background
Observational
studies
have
shown
an
association
between
skin
microbiota
and
alopecia
areata
(AA),
but
the
causal
connection
remains
ambiguous.
Methods
We
obtained
data
on
AA
from
summary
statistics
of
Genome‐Wide
Association
Studies
applied
statistical
methods
Mendelian
randomization
(MR)
to
assess
relationships.
Additionally,
we
investigated
whether
acts
as
a
mediator
in
pathway
gut
AA.
Results
In
MR
analysis
KORA
FF4
AA,
inverse‐variance
weighting
method
indicated
that
Corynebacterium
(odds
ratio
[OR]
=
0.82,
95%
confidence
interval
[CI]:
0.70–0.96,
p
0.02)
asv037
(OR
0.87,
CI:
0.76–0.99,
0.05)
exerted
protective
effects,
while
Betaproteobacteria
1.21,
1.01–1.44,
0.03),
asv015
1.27,
1.05–1.54,
0.02),
Burkholderiales
1.20,
1.04–1.38,
0.01)
were
identified
risk
factors
PopGen
asv001
1.12,
1.01–1.24,
0.04),
asv054
1.13,
1.01–1.25,
asv059
1.14,
1.02–1.27,
found
potentially
increase
Furthermore,
influence
did
not
act
mediator.
Conclusion
Our
suggests
potential
relationships
certain
revealing
insights
into
its
pathogenesis
intervention
strategies.
Translational Psychiatry,
Год журнала:
2024,
Номер
14(1)
Опубликована: Янв. 31, 2024
Abstract
Background
The
causal
effects
of
gut
microbiome
and
the
development
posttraumatic
stress
disorder
(PTSD)
are
still
unknown.
This
study
aimed
to
clarify
their
potential
association
using
mendelian
randomization
(MR).
Methods
summary-level
statistics
for
were
retrieved
from
a
genome-wide
(GWAS)
MiBioGen
consortium.
As
PTSD,
Freeze
2
datasets
originated
Psychiatric
Genomics
Consortium
Posttraumatic
Stress
Disorder
Working
Group
(PGC-PTSD),
replicated
obtained
FinnGen
Single
nucleotide
polymorphisms
meeting
MR
assumptions
selected
as
instrumental
variables.
inverse
variance
weighting
(IVW)
method
was
employed
main
approach,
supplemented
by
sensitivity
analyses
evaluate
pleiotropy
heterogeneity
ensure
robustness
results.
We
also
performed
reverse
explore
PTSD’s
on
relative
abundances
specific
features
microbiome.
Results
In
PGC-PTSD,
eight
bacterial
traits
revealed
between
PTSD
(IVW,
all
P
<
0.05).
addition,
Genus.Dorea
genus.Sellimonas
in
datasets,
which
occurrence
PTSD.
further
supported
IVW
findings,
providing
additional
evidence
reliability.
Conclusion
Our
provides
impact
microbiomes
shedding
new
light
understanding
dysfunctional
gut-brain
axis
this
disorder.
findings
present
novel
call
investigations
confirm
links,
well
illuminate
underlying
mechanisms.
Abstract
Background
Existing
evidence
suggests
that
alterations
in
the
gut
microbiome
are
closely
associated
with
major
depressive
disorder
(MDD).
We
aimed
to
reveal
causal
relationships
between
MDD
and
various
microbial
taxa
gut.
Methods
used
two-sample
Mendelian
randomization
(TSMR)
explore
bidirectional
effects
microbiota
MDD.
The
genome-wide
association
studies
summary
results
of
were
obtained
from
two
large
consortia,
MibioGen
consortium
Dutch
Microbiome
Project,
which
we
analyzed
separately.
Results
Our
TSMR
analysis
identified
10
bacterial
protective
against
MDD,
including
phylum
Actinobacteria
,
order
Clostridiales
family
Bifidobacteriaceae
(OR:
0.96
∼
0.98).
Ten
an
increased
risk
phyla
Firmicutes
Proteobacteria
class
genus
Alistipes
1.01
1.09).
On
other
hand,
may
decrease
abundance
12
taxa,
families
Defluviitaleaceae
0.63
0.88).
increase
8
Bacteroidetes
genera
Parabacteroides
Bacteroides
1.12
1.43).
Conclusions
study
supports
there
mutual
certain
development
suggesting
be
targeted
treatment
Cells,
Год журнала:
2023,
Номер
12(9), С. 1240 - 1240
Опубликована: Апрель 25, 2023
Maes
et
al.
(2008)
published
the
first
paper
demonstrating
that
major
depressive
disorder
(MDD)
is
accompanied
by
abnormalities
in
microbiota–gut–brain
axis,
as
evidenced
elevated
serum
IgM/IgA
to
lipopolysaccharides
(LPS)
of
Gram-negative
bacteria,
such
Morganella
morganii
and
Klebsiella
Pneumoniae.
The
latter
aberrations,
which
point
increased
gut
permeability
(leaky
gut),
are
linked
activated
neuro-immune
oxidative
pathways
MDD.
To
delineate
profile
composition
microbiome
Thai
patients
with
MDD,
we
examined
fecal
samples
32
MDD
37
controls
using
16S
rDNA
sequencing,
analyzed
α-
(Chao1
Shannon
indices)
β-diversity
(Bray–Curtis
dissimilarity),
conducted
linear
discriminant
analysis
(LDA)
effect
size
(LEfSe)
analysis.
Neither
nor
differed
significantly
between
controls.
Rhodospirillaceae,
Hungatella,
Clostridium
bolteae,
Hungatella
hathewayi,
propionicum
were
enriched
while
Gracillibacteraceae
family,
Lutispora,
Ruminococcus
genus,
callidus,
Desulfovibrio
piger,
Coprococcus
comes,
Gemmiger
Contradictory
results
have
been
reported
for
all
these
taxa,
exception
Ruminococcus,
depleted
six
different
studies
(one
study
showed
abundance),
many
medical
disorders
show
comorbidities
animal
models.
Our
may
suggest
a
specific
compositional
dysbiosis
patients,
increases
some
pathobionts
depletion
beneficial
microbiota.
be
more
universal
biomarker
contribute
enteral
LPS
load,
translocation,
gut–brain
axis
abnormalities.
Frontiers in Microbiology,
Год журнала:
2024,
Номер
15
Опубликована: Янв. 17, 2024
Background
The
associations
between
gut
microbiota
and
cardiovascular
disease
have
been
reported
in
previous
studies.
However,
the
relationship
endocarditis
remains
unclear.
Methods
A
bidirectional
Mendelian
randomization
(MR)
study
was
performed
to
detect
association
endocarditis.
Inverse
variance
weighted
(IVW)
method
considered
main
result.
Simultaneously,
heterogeneity
pleiotropy
tests
were
conducted.
Results
Our
suggests
that
family
Victivallaceae
(
p
=
0.020),
genus
Eubacterium
fissicatena
group
0.047),
Escherichia
Shigella
0.024),
Peptococcus
0.028)
Sellimonas
0.005)
play
protective
roles
Two
microbial
taxa,
including
Blautia
0.006)
Ruminococcus2
0.024)
increase
risk
of
At
same
time,
has
a
negative
effect
on
0.048).
Besides,
no
or
found
this
study.
Conclusion
emphasized
certain
role
specific
patients
with
clarified
microbiota.
Frontiers in Cellular and Infection Microbiology,
Год журнала:
2024,
Номер
14
Опубликована: Апрель 9, 2024
Background
Recent
studies
have
emphasized
the
role
of
gut
microbiota
in
onset
and
progression
osteomyelitis.
However,
exact
types
their
mechanisms
action
remain
unclear.
Additionally,
there
is
a
lack
theoretical
support
for
treatments
that
improve
osteomyelitis
by
altering
microbiota.
Methods
In
our
study,
we
utilized
largest
genome-wide
association
study
(GWAS)
meta-analysis
to
date
from
MiBioGen
consortium,
involving
13,400
participants.
The
GWAS
data
were
sourced
UK
Biobank,
which
included
4,836
cases
486,484
controls.
We
employed
two-sample
Mendelian
randomization
framework
detailed
investigation
into
causal
relationship
between
Our
methods
inverse
variance
weighting,
MR-Egger,
weighted
median,
mode
approaches.
applied
Cochran’s
Q
statistic
assess
heterogeneity
instrumental
variable.
Results
At
class
level,
Bacilli
Bacteroidia
positively
correlated
with
risk
order
only
Bacteroidales
showed
positive
genus
an
increased
abundance
Butyricimonas
,
Coprococcus3
Tyzzerella3
was
associated
osteomyelitis,
whereas
Lachnospira
negatively
associated.
Sensitivity
analyses
no
evidence
or
pleiotropy.
Conclusion
This
reveals
classes
Bacteroidia,
Bacteroidales,
genera
are
implicated
increasing
while
reduced
risk.
Future
investigations
warranted
elucidate
precise
through
these
specific
bacterial
groups
influence
pathophysiology
General Psychiatry,
Год журнала:
2024,
Номер
37(4), С. e101412 - e101412
Опубликована: Июль 2, 2024
Observational
studies
highlight
the
association
between
gut
microbiota
(GM)
composition
and
depression;
however,
evidence
for
causal
relationship
GM
specific
depressive
symptoms
remains
lacking.
Frontiers in Microbiology,
Год журнала:
2023,
Номер
14
Опубликована: Сен. 27, 2023
Background
Recent
studies
have
shown
that
an
imbalance
in
gut
microbiota
(GM)
may
not
always
be
associated
with
endometriosis
(EMS).
To
investigate
this
further,
we
conducted
a
two-sample
Mendelian
randomization
study.
Methods
MR
analysis
was
performed
on
genome-wide
association
study
(GWAS)
summary
statistics
of
GM
and
EMS.
Specifically,
the
MiBioGen
GWAS
(
N
=
18,340)
used
as
exposure.
The
FinnGen
(8,288
EMS
cases
68,969
controls)
outcome.
We
primarily
inverse
variance
weighted
(IVW)
method
to
analyze
correlation
sensitivity
verify
its
reliability.
Results
(1)
analysis:
results
IVW
confirmed
total
8
taxa
were
related
risk
Class-
Melainabacteria
p
0.036),
family-
Ruminococcaceae
0.037),
genus-
Eubacteriumruminantium
0.015)
had
protective
effect
EMS,
whereas
order
-Bacillales
0.046),
family
-Prevotellaceae
0.027),
genus
-Anaerotruncus
0.025),
-Olsenella
0.036)
RuminococcaceaeUCG002
0.035)
could
increase
(2)
Sensitivity
Cochrane’s
Q
test
>
0.05),
MR-Egger
intercept
leave-one-out
robustness
results.
Conclusion
This
two
large
national
databases
identified
between
These
potentially
utilized
for
indirectly
diagnosing
lead
novel
perspectives
research
regarding
pathogenesis,
diagnosis,
treatment
American Journal of Reproductive Immunology,
Год журнала:
2024,
Номер
91(2)
Опубликована: Фев. 1, 2024
Abstract
Problem
Currently,
there
is
a
variety
of
evidence
linking
the
gut
microbiota
to
changes
in
sex
hormones.
In
contrast,
causal
relationship
between
SHBG,
carrier
hormones,
and
unclear.
Method
Study
Bidirectional
two‐sample
Mendelian
randomization
(MR)
analysis
was
used
detect
effect
SHBG
microbiome.
Summary
statistics
genome‐wide
association
studies
(GWASs)
for
microbiome
were
obtained
from
public
datasets.
Inverse‐variance
weighting
(IVW),
weighted
median,
mode,
MR‐Egger
simple
mode
methods
operate
MR
analysis.
F
‐statistics
sensitivity
analyses
performed
evaluate
bias
reliability.
Results
When
we
set
as
exposure
outcome,
identified
nine
relationships.
males,
Coprobacter
(PIVW
=
2.01
×
10
−6
),
Ruminococcus
2
3.40
−5
Barnesiella
2.79
−2
Actinobacteria
3.25
)
Eubacterium
fissicatena
groups
3.64
associated
with
lower
levels;
Alphaproteobacteria
1.61
higher
levels.
females,
Lachnoclostridium
9.75
−3
Defluviitaleaceae
UCG011
3.67
Victivallaceae
2.23
According
results
reverse
analysis,
three
significant
found
on
microbiota.
Dorea
4.17
Clostridiales
4.36
7.44
−4
higherr
No
signifcant
heterogeneity
instrumental
variables
or
horizontal
pleiotropy
bidirectional
Conclusions
This
study
may
provide
new
insights
into
hormone‐binding
protein
levels,
well
treatment
prevention
strategies
diseases
such
abnormal