Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 21, 2023
Abstract
Background:
A
growing
number
of
observational
studies
have
found
that
gut
microbiota
is
associated
with
a
higher
risk
Sjogren's
syndrome.
However,
the
relationship
between
two
remains
to
be
further
determined.
Methods:
We
conducted
two-sample
Mendelian
randomization
analysis
determine
whether
causally
related
Sjogren’s
As
exposure
factors,
we
used
summary
statistics
from
an
18340-person
genome-wide
association
study
microbiome
published
by
MiBioGen
consortium,
and
data
Finn
Gen
GWAS
syndrome,
2495
patients;
414,262
controls
were
included
as
disease
outcomes.Two-sample
was
subsequently
performed
inverse
variance-weighted,
MR-Egger,
weighted
median.
In
addition,
heterogeneity
horizontal
pleiotropy
excluded
sensitivity
analysis.
Results
:
IVW
results
confirmed
genus
Ruminiclostridium9
(OR
=
0.727,
95%CI:
0.536-0.986,
P
0.040),f
family
Victivallaceae(OR
0.865,
0.750-0.999,
=0.048),
while
Butyricicoccus
(OR=1.516,
1.089-2.111,
0.014),
Eubacterium
coprostanoligenes
group(OR
=1.542,
1.085-2.192,
=0.016),
amily
Porphyromonadaceae
1.549,
1.068-2.246
0.021),
phylum
Cyanobacteria
10272,
1.020-1.586,
0.033)
had
opposite
effect.
No
abnormal
SNPS
in
Conclusion:
some
causal
relationships
randomized
controlled
trials
are
needed.
BMC Cancer,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: April 4, 2024
Abstract
Background
Through
research
on
the
gut
microbiota
(GM),
increasing
evidence
has
indicated
that
GM
is
associated
with
esophageal
cancer
(ESCA).
However,
specific
cause-and-effect
relationship
remains
unclear.
In
this
study,
Mendelian
randomization
(MR)
analysis
was
applied
to
investigate
causal
between
and
ESCA,
including
its
subtypes.
Methods
We
collected
information
211
GMs
acquired
data
ESCA
subtypes
through
genome-wide
association
studies
(GWASs).
The
primarily
assessed
using
inverse
variance
weighted
(IVW)
method.
Additionally,
we
median
estimator
(WME)
method,
MR–Egger
mode,
simple
mode
provide
further
assistance.
Subsequent
these
analyses,
sensitivity
conducted
intercept
test,
MR-PRESSO
global
leave-one-out
Result
Following
our
assessment
five
methods
analysis,
identified
seven
potential
relationships
At
genus
level,
Veillonella
Coprobacter
were
positively
correlated
whereas
Prevotella9
,
Eubacterium
oxidoreducens
group
Turicibacter
negatively
ESCA.
case
of
adenocarcinoma
(EAC),
Flavonifractor
exhibited
a
positive
correlation,
while
Actinomyces
negative
correlation.
Conclusion
Our
study
revealed
subtypes,
offering
novel
insights
for
advancement
diagnosis
treatment.
Proceedings of the Royal Society B Biological Sciences,
Journal Year:
2024,
Volume and Issue:
291(2020)
Published: April 9, 2024
Transposable
elements
(TEs)
are
selfish
genetic
whose
antagonistic
interactions
with
hosts
represent
a
common
conflict
in
eukaryotes.
To
resolve
this
conflict,
have
widely
adopted
epigenetic
silencing
that
deposits
repressive
marks
at
TEs.
However,
mechanism
is
imperfect
and
fails
to
fully
halt
TE
replication.
Furthermore,
can
inadvertently
spread
adjacent
functional
sequences,
phenomenon
considered
'curse'
of
resolution.
Here,
we
used
forward
simulations
explore
how
its
harmful
side
effects
shape
the
evolutionary
dynamics
TEs
their
hosts.
Our
findings
reveal
allows
stably
coexist
under
wide
range
conditions,
because
underlying
molecular
mechanisms
give
rise
copy-number
dependency
strength
silencing.
Interestingly,
contrary
intuitive
expectations
should
evolve
be
as
strong
possible,
found
selective
benefit
for
modifier
alleles
weaken
biologically
feasible
conditions.
These
results
dual
nature
silencing,
both
positive
negative
effects,
complicates
trajectory
makes
it
challenging
determine
whether
'blessing'
or
'curse'.
Medicine,
Journal Year:
2025,
Volume and Issue:
104(1), P. e41141 - e41141
Published: Jan. 3, 2025
Previous
studies
in
observational
epidemiology
have
suggested
a
potential
correlation
between
the
gastrointestinal
tract
microbiota
and
prostate
cancer.
However,
causal
relationship
2
remains
uncertain,
our
objective
was
to
thoroughly
examine
influence
of
gut
microbiome
on
progression
In
this
study,
we
focused
investigating
as
an
exposure
factor,
specifically
analyzing
data
from
MiBioGen
consortium,
which
had
substantial
sample
size
18,340
participants.
As
disease
outcome,
utilized
cancer
FinnGen
genome-wide
association
involved
13,216
To
establish
relationships,
conducted
comprehensive
Mendelian
randomization
analysis
employing
multiple
methods,
including
inverse
variance-weighted,
randomization-Egger,
maximum
likelihood,
weighted
median
approaches.
Additionally,
performed
sensitivity
address
issues
such
heterogeneity
horizontal
pleiotropy,
ensuring
robustness
findings.
The
results
obtained
through
variance-weighted
revealed
that
certain
microbial
groups
exhibited
protective
effect
Specifically,
phylum
Verrucomicrobia,
particularly
family
Rikenellaceae,
genera
Anaerotruncus,
Eisenbergiella,
Olsenella,
Parabacteroides
were
found
beneficial
impact.
Conversely,
class
Bacilli,
Erysipelotrichia,
order
Erysipelotrichales,
Lactobacillales,
Erysipelotrichaceae,
Marvinbryantia,
Romboutsia,
Ruminococcaceae
UCG002,
Sutterella
adverse
did
not
reveal
any
outliers,
further
strengthening
validity
results.
summarize,
cause-and-effect
connection
discovered
various
types
Nevertheless,
additional
randomized
controlled
experiments
are
required
for
validation.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 1, 2025
Metabolic
disorders
are
an
important
feature
of
chronic
lung
disease.
Patients
diagnosed
with
obstructive
pulmonary
disease
(COPD)
have
been
found
to
experience
metabolic
disorders.
Nonetheless,
evidence
on
the
causal
role
circulating
metabolites
in
promoting
or
preventing
COPD
is
still
lacking.
Conducting
a
methodical
examination
connection
between
blood
and
can
aid
identifying
fresh
objectives
for
screening
prevention
COPD.
Therefore,
we
performed
two-sample
Mendelian
randomization
(MR)
analysis
evaluate
association
486
metabolites.We
used
MR
techniques
genome-wide
study
(GWAS)
data
correlation
serum
metabolites.
To
impact
risk
COPD,
predominantly
employed
inverse
variance
weighting
(IVW)
methodology.
The
MR-Egger
regression
test
was
assess
multiple
validity,
while
presence
heterogeneity
examined
using
Cochran's
Q
test.
ensure
reliability
findings,
leave-one-out
conducted.
Bonferroni
correction
adjust
comparisons,
ensuring
rigorous
validation
our
results.After
filtering
by
IVW
sensitivity
analysis,
identified
10
known
including
fructose,
margarate
(17:0),
guanosine,
2-stearoylglycerophosphocholine,
hexadecanedioate,
lactate,
5-oxoproline,
paraxanthine,
phenyllactate
(PLA)
N-acetylglycine.
Of
these,
2-stearoylglycerophosphocholine
hexadecanedioate
metabolites,
additionally,
paraxanthine
phenyllactate(PLA)
N-acetylglycine
protective
In
addition,
five
currently
unknown
chemical
structures.
Q-test
showed
no
significant
heterogeneity,
Egger's
intercept
confirmed
absence
horizontal
multidirectionality.
Leave-one-out
also
proved
analysis.We
seven
COPD-related
risks
eight
human
By
combining
genomics
metabolism,
it
provides
new
insights
into
underlying
mechanisms
implications
prevention.
Biomedical Reports,
Journal Year:
2025,
Volume and Issue:
22(3)
Published: Jan. 23, 2025
Metabolic
disorders
are
a
significant
feature
of
fibrotic
diseases.
Nevertheless,
the
lack
sufficient
proof
regarding
cause‑and‑effect
association
between
circulating
metabolites
and
promotion
or
prevention
idiopathic
pulmonary
fibrosis
(IPF)
persists.
To
assess
causal
IPF
genetic
proxies
486
blood
metabolites,
dual
sample
Mendelian
randomization
(MR)
analysis
was
performed.
Therefore,
two‑sample
MR
technique
genome‑wide
study
data
were
employed
to
serum
IPF.
produce
primary
outcomes,
inverse
variance
weighted
(IVW)
applied,
while
stability
dependability
sensitivity
using
MR‑Egger
Additionally,
median,
Cochran's
Q‑test,
Egger
intercept
test
leave‑one‑out
method
used.
The
results
present
revealed
total
21
in
circulation
that
could
affect
risk
(PIVW<0.05).
Among
them,
10
compounds
already
known,
namely
cotinine
[odds
ratio
(OR)=1.206;
95%
confidence
interval
(CI),
1.002‑1.452;
P=0.047],
hypoxanthine
(OR=0.225;
CI,
0.056‑0.899;
P=0.034),
aspartyl
phenylalanine
(OR=4.309;
1.084‑17.131;
P=0.038),
acetyl‑carnitine
(OR=5.767;
1.398‑23.789;
P=0.015),
2‑aminobutyrate
(OR=0.155;
0.033‑0.713;
P=0.016),
Docosapentaenoic
acid
(PubChem
ID:
5497182;
OR=0.214;
0.055‑0.833;
P=0.026),
octanoyl‑carnitine
177508;
OR=3.398;
1.179‑9.794;
P=0.023),
alpha‑hydroxy‑isovalerate
857803‑94‑2;
OR=0.324;
0.112‑0.931;
P=0.036),
1,7‑dimethylurate
91611;
OR=0.401;
0.172‑0.931;
P=0.033)
1‑linoleoyl‑glycerophosphocholine
657272;
OR=6.559;
1.060‑40.557;
P=0.043).
also
identified
11
currently
unknown
chemical
structures.
Q‑test
indicated
there
no
heterogeneity,
MR‑Egger's
verified
horizontal
pleiotropy.
retention
one
for
plotting
supported
reliability
analysis.
Overall,
current
including
with
known
composition
which
still
awaiting
determination.
These
findings
provide
novel
insights
further
investigation
mechanism
underlying
development
Frontiers in Microbiology,
Journal Year:
2023,
Volume and Issue:
14
Published: May 18, 2023
Several
reports
in
recent
years
have
found
an
association
between
gut
microbiota
and
upper
urinary
urolithiasis.
However,
the
causal
relationship
them
remains
to
be
clarified.
Genetic
variation
is
used
as
a
tool
Mendelian
randomization
for
inference
of
whether
exposure
factors
effect
on
disease
outcomes.
We
selected
summary
statistics
from
large
genome-wide
study
microbiome
published
by
MiBioGen
consortium
with
sample
size
18,340
factor
urolithiasis
data
FinnGen
GWAS
4,969
calculi
cases
213,445
controls
outcome.
Then,
two-sample
analysis
was
performed
applying
inverse
variance-weighted,
MR-Egger,
maximum
likelihood,
weighted
median.
In
addition,
heterogeneity
horizontal
pleiotropy
were
excluded
sensitivity
analysis.
IVW
results
confirmed
that
class
Deltaproteobacteria
(OR
=
0.814,
95%
CI:
0.666-0.995,
P
0.045),
order
NB1n
0.833,
0.737-0.940,
3.15
×
10-3),
family
Clostridiaceae1
0.729,
0.581-0.916,
6.61
genus
Barnesiella
0.695,
0.551-0.877,
2.20
Clostridium
sensu_stricto_1
0.777,
0.612-0.986,
0.0380),
Flavonifractor
0.711,
0.536-0.944,
0.0181),
Hungatella
0.829,
0.690-0.995,
0.0444),
Oscillospira
0.758,
0.577-0.996,
0.0464)
had
protective
urolithiasis,
while
Eubacterium
xylanophilum
=1.26,
1.010-1.566,
0.0423)
opposite
effect.
Sensitivity
did
not
find
outlier
SNPs.
summary,
several
genera
we
still
need
further
randomized
controlled
trials
validate.
Frontiers in Medicine,
Journal Year:
2024,
Volume and Issue:
11
Published: June 28, 2024
Background
We
aimed
to
elucidate
the
causal
relationship
between
plasma
metabolites
and
vulnerability
Osteoarthritis
(OA),
encompassing
both
hip
OA
knee
OA.
Methods
conducted
a
two-way
two-sample
Mendelian
randomization
(MR)
analysis
investigate
association
of
1,400
with
The
Inverse
Variance
Weighted
(IVW)
model
served
as
primary
MR
Analysis
method,
supplementary
using
Median
(WM)
Egger
methods.
To
ensure
robustness
our
findings,
sensitivity
analyses
were
performed,
incorporating
Cochran’s
Q
test,
MR-Egger
intercept
MR-PRESSO,
Leave-One-Out
analyses.
validate
identified
metabolites,
we
utilized
Steiger
test
linkage
disequilibrium
score
regression.
Results
A
total
94
associated
osteoarthritis,
60
106
IVW
revealed
that
tryptophan
levels
showed
strongest
positive
(OR
[95%
CI]:
1.119
[1.024,
1.223]),
while
X-24757
exhibited
highest
osteoarthritis
1.095
[1.032,
1.162]).
Ethylparaben
sulfate
found
have
greatest
1.118
[1.015,
1.231]).
Notably,
metabolite
X-2475
strong
robust
random
effect
across
all
three
types
osteoarthritis.
Metabolic
pathway
pathogenesis
in
was
mediated
by
acetylarginine,
specifically
four
important
metabolic
pathways:
ethanol
degradation
(
p
=
0.044),
amino
sugar
metabolism
0.090),
fatty
acid
biosynthesis
0.095),
aspartate
0.097816).
Conclusion
There
is
significant
risk
OA,
well
Additionally,
are
also
linked
Moreover,
this
study
has
crucial
pathways
which
regulated
acetylarginine.
These
findings
provide
valuable
insights
into
potential
biomarkers
for
highlight
its
prevention
clinical
intervention.