Causal relationship between immune cells and risk of heart failure: evidence from a Mendelian randomization study
Wenjing Cao,
No information about this author
Zefu Yang,
No information about this author
Liumei Mo
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et al.
Frontiers in Cardiovascular Medicine,
Journal Year:
2025,
Volume and Issue:
11
Published: Jan. 23, 2025
Background
Heart
failure
(HF)
is
a
clinical
syndrome
resulting
from
structural
damage
or
dysfunction
of
the
heart.
Previous
investigations
have
highlighted
critical
involvement
immune
cells
in
progression
heart
failure,
with
distinct
roles
attributed
to
different
types
cells.
The
objective
current
research
was
explore
potential
connections
between
characteristics
and
development
HF,
as
well
ascertain
nature
causality
these
factors.
Methods
To
assess
causal
association
immunological
profiles
HF
based
on
publicly
available
genome-wide
studies,
we
employed
two-sample
Mendelian
randomization
technique,
utilizing
inverse
variance
weighted
(IVW)
method
our
primary
analytical
approach.
In
addition,
assessed
heterogeneity
cross-sectional
pleiotropy
through
sensitivity
analyses.
Results
A
(MR)
analysis
conducted
using
IVW
method.
At
significance
level
0.001,
identified
40
immunophenotypes
that
significant
relationship
HF.
There
phenotypes
failure.
These
immunophenotypes,
8
which
were
B
cells,
5
cDC,
2
T
cell
maturation
stage,
monocytes,
3
myeloid
7
TBNK
13
Treg.
Sensitivity
analyses
validate
strength
reliability
MR
findings.
Conclusions
Our
study
suggests
there
appears
be
effect
multiple
This
discovery
provides
new
avenue
for
therapeutic
treatments
target
drug
development.
Language: Английский
Circulating cell-free DNA methylation analysis of pancreatic cancer patients for early noninvasive diagnosis
Wenzhe Hu,
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Xudong Zhao,
No information about this author
Nan Luo
No information about this author
et al.
Frontiers in Oncology,
Journal Year:
2025,
Volume and Issue:
15
Published: March 10, 2025
Background
Aberrant
hypermethylation
of
genomic
DNA
CpG
islands
(CGIs)
is
frequently
observed
in
human
pancreatic
cancer
(PAC).
A
plasma
cell-free
(cfDNA)
methylation
analysis
method
can
be
utilized
for
the
early
and
noninvasive
detection
PAC.
This
study
also
aimed
to
differentiate
PAC
from
other
types.
Methods
We
employed
methylated
tandem
amplification
sequencing
(MCTA-Seq)
method,
which
targets
approximately
one-third
CGIs,
on
samples
patients
(n
=
50)
healthy
controls
52),
as
well
cancerous
adjacent
noncancerous
tissue
66).
The
method’s
efficacy
detecting
distinguishing
it
hepatocellular
carcinoma
(HCC),
colorectal
(CRC),
gastric
(GC)
was
evaluated.
Additionally,
a
score
typing
system
established.
Results
identified
total
120
cfDNA
biomarkers,
including
IRX4
,
KCNS2
RIMS4
blood.
panel
comprising
these
biomarkers
achieved
sensitivity
97%
86%
discovery
validation
cohorts,
respectively,
with
specificity
100%
both
cohorts.
scoring
systems
were
clinically
applicable.
Furthermore,
we
hundreds
differentially
between
HCC,
CRC,
GC.
Certain
combinations
markers
used
highly
specific
(approximately
100%)
algorithm
GC
Conclusions
Our
PAC,
offering
novel
approach
early,
diagnosis
Language: Английский
Metabolic reprogramming shapes the immune microenvironment in pancreatic adenocarcinoma: prognostic implications and therapeutic targets
Weihua Song,
No information about this author
Yabin Yu,
No information about this author
Shuai Wang
No information about this author
et al.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 21, 2025
Introduction
Pancreatic
adenocarcinoma
(PAAD)
is
characterized
by
a
profoundly
immunosuppressive
tumor
microenvironment
(TME)
that
limits
the
efficacy
of
immunotherapy.
Emerging
evidence
suggests
tumor-specific
metabolic
reprogramming
may
drive
disease
progression
and
shape
immune
landscape
in
PAAD.
Methods
We
integrated
multi-omics
data
from
TCGA,
GEO,
ICGC
to
identify
key
metabolism-related
genes
(MRGs)
influence
cell
infiltration,
progression,
patient
survival.
Based
on
nine
pivotal
MRGs
(including
ANLN,
PKMYT1,
HMGA1),
we
developed
validated
novel
metabolic-prognostic
index
(MPI).
Functional
enrichment
analyses
were
conducted
elucidate
pathways
associated
with
different
MPI
risk
groups.
In
vitro
experiments
drug
sensitivity
performed
confirm
oncogenic
role
selected
explore
their
therapeutic
implications.
Results
The
effectively
stratified
patients
into
high-
low-risk
High-MPI
scores
correlated
poor
overall
survival,
elevated
mutation
burden
(TMB),
an
TME,
evidenced
reduced
CD8⁺
T-cell
infiltration
increased
expression
checkpoints
(PD-L1,
TGF-β).
revealed
glycolysis
folate
biosynthesis
as
dominant
high-MPI
groups,
whereas
fatty
acid
metabolism
prevailed
low-MPI
Experimental
validation
underscored
ANLN
promoting
epithelial-mesenchymal
transition
(EMT)
evasion
via
NF-κB
signaling.
knockdown
significantly
glycolytic
activity,
migration,
evasion.
Drug
indicated
resistance
gemcitabine
but
afatinib
patients.
Although
TIDE
analysis
predicted
checkpoint
inhibitor
(ICI)
tumors,
subset
showed
favorable
responses
anti-PD-L1
therapy.
Discussion
These
findings
provide
comprehensive
framework
for
understanding
how
shapes
PAAD’s
TME
affects
treatment
outcomes.
By
accurately
stratifying
patients,
serves
promising
tool
guide
decisions,
including
targeted
therapy
selection
immunotherapy
prediction,
ultimately
offering
potential
more
personalized
management
Language: Английский
Integrating network pharmacology and multi-omics to explore the potentiating effect and mechanism of Shenlingcao oral liquid on cisplatin chemotherapy in Lewis lung cancer mice
Jia-xin Luo,
No information about this author
Yang Zhan,
No information about this author
Yonglin Liu
No information about this author
et al.
Journal of Ethnopharmacology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 119843 - 119843
Published: April 1, 2025
Language: Английский
Improving precision management of anxiety disorders: a Mendelian randomization study targeting specific gut microbiota and associated metabolites
Frontiers in Microbiology,
Journal Year:
2024,
Volume and Issue:
15
Published: April 9, 2024
Background
There
is
growing
evidence
of
associations
between
the
gut
microbiota
and
anxiety
disorders,
where
changes
in
microbiotas
may
affect
brain
function
behavior
via
microbiota-gut-brain
axis.
However,
population-level
studies
offering
a
higher
level
for
causality
are
lacking.
Our
aim
was
to
investigate
specific
associated
metabolites
that
closely
related
disorders
provide
mechanistic
insights
novel
management
perspectives
disorders.
Method
This
study
used
summary-level
data
from
publicly
available
Genome-Wide
Association
Studies
(GWAS)
119
bacterial
genera
phenotype
“All
disorders”
reveal
causal
effects
on
identify
with
A
two-sample,
bidirectional
Mendelian
randomization
(MR)
design
deployed,
followed
by
comprehensive
sensitivity
analyses
validate
robustness
results.
We
further
conducted
multivariable
MR
(MVMR)
analysis
potential
impact
neurotransmitter-associated
metabolites,
bacteria-associated
dietary
patterns,
drug
use
or
alcohol
consumption,
lifestyle
factors
such
as
smoking
physical
activity
observed
associations.
Results
Bidirectional
identified
three
causally
disorders:
genus
Eubacterium
nodatum
group
Ruminococcaceae
UCG011
were
protective,
while
an
increased
risk
Further
MVMR
suggested
metabolite-dependent
mechanism,
primarily
driven
tryptophan,
tyrosine,
phenylalanine,
glycine
cortisol,
which
consistent
previous
research
findings,
probably
played
significant
role
mediating
these
Furthermore,
modifying
pattern
salt,
sugar
processed
meat
intake,
adjusting
state
levels,
appears
be
effective
approaches
targeting
manage
Conclusion
findings
offer
avenues
developing
precise
metabolites.
Language: Английский
Causal relationship between immune cells and risk of myocardial infarction: evidence from a Mendelian randomization study
Frontiers in Cardiovascular Medicine,
Journal Year:
2024,
Volume and Issue:
11
Published: Aug. 27, 2024
Background
Atherosclerotic
plaque
rupture
is
a
major
cause
of
heart
attack.
Previous
studies
have
shown
that
immune
cells
are
involved
in
the
development
atherosclerosis,
but
different
play
roles.
The
aim
this
study
was
to
investigate
causal
relationship
between
immunological
traits
and
myocardial
infarction
(MI).
Methods
To
assess
association
profiles
with
based
on
publicly
available
genome-wide
studies,
we
used
two-sample
mendelian
randomization
(MR)
approach
inverse
variance
weighted
(IVW)
as
main
analytical
method.
Sensitivity
analyses
were
heterogeneity
horizontal
pleiotropy.
Results
A
MR
analysis
conducted
using
IVW
primary
At
significance
level
0.001,
identified
47
immunophenotypes
significant
MI.
Seven
these
present
B
cells,
five
cDC,
four
T
at
maturation
stage,
six
monocytes,
myeloid
12
TBNK
eight
Treg
cells.
performed
confirm
robustness
results.
Conclusions
Our
results
provide
strong
evidence
multiple
effect
risk
infarction.
This
discovery
provides
new
avenue
for
therapeutic
treatments
target
drug
development.
Language: Английский
An atlas on risk factors for gastrointestinal cancers: A systematic review of Mendelian randomization studies
Yixuan Huang,
No information about this author
Junhua Wu,
No information about this author
Yuqiang Zhao
No information about this author
et al.
Preventive Medicine,
Journal Year:
2024,
Volume and Issue:
189, P. 108147 - 108147
Published: Oct. 3, 2024
Language: Английский
Gut Microbiota’s role in lipoma development: evidence from mendelian randomization
Frontiers in Genetics,
Journal Year:
2024,
Volume and Issue:
15
Published: Nov. 15, 2024
Background
Lipoma,
a
benign
tumor
derived
from
mesenchymal
tissue,
significantly
affects
patients’
physical
and
psychological
wellbeing.
Increasing
evidence
points
to
strong
link
between
the
gut
microbiome
(GM)
lipoma
incidence.
This
study
utilizes
Mendelian
Randomization
(MR)
assess
potential
causal
relationships
GM
development.
Methods
We
conducted
two-sample
MR
analysis
using
genome-wide
association
(GWAS)
data
MiBioGen
FinnGen
explore
relationship
lipoma.
The
dataset
included
18,340
participants
with
14,587
single
nucleotide
polymorphisms
(SNPs),
while
comprised
412,181
21,306,349
SNPs.
employed
5
methods:
Inverse
Variance
Weighted
(IVW),
Median,
Simple
Mode,
MR-Egger,
Mode.
Additional
assessments
Cochran’s
Q
test
for
result
heterogeneity,
PRESSO
horizontal
pleiotropy,
sensitivity
analyses
through
scatter
plots,
leave-one-out
analyses,
funnel
forest
plots.
Results
IVW
method
identified
18
gene
predictors
trans-genus
associated
risk.
Protective
effects
against
(BL)
were
observed
in
Eubacterium
rectale
group,
Desulfovibrio,
Ruminococcus1,
Clostridium
sensu
stricto1,
Lachnospiraceae
UCG001;
conversely,
UCG008
was
linked
increased
BL
Desulfovibrio
provided
protection
TS-BL;
however,
Family
XIII
AD3011
coprostanoligenes
NK4A136
Parasutterella
an
TS-BL
innocuum
Anaerotruncus,
Ruminiclostridium6,
UCG001
offered
LS-BL,
LS-BL
brachy
Odoribacter,
Butyricimonas,
Subdoligranulum,
stricto1
protective
HFNS-BL;
Ruminococcaceae
UCG005
HFNS-BL
Conclusion
Compared
malignant
tumors,
research
on
lipomas
has
been
relatively
limited.
study,
analysis,
new
of
specific
development
lipomas.
Certain
bacterial
species
may
act
as
or
harmful
factors
formation,
offering
avenues
future
treatment
strategies.
However,
additional
is
required
unravel
complexity
how
influences
pathogenesis
Language: Английский