Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 12, 2024
Background
Lichen
planus
(LP),
an
autoimmune
disorder,
remains
incompletely
understood
in
terms
of
its
etiological
mechanisms.
This
study
aims
to
elucidate
causal
relationships
among
immune
cell
populations,
plasma
metabolites,
and
lichen
using
Mendelian
randomization
(MR)
techniques.
Methods
Employing
a
two-sample,
two-step
MR
approach,
with
single
nucleotide
polymorphisms
(SNP)
serving
as
genetic
instruments
for
both
exposures
mediators,
this
minimizes
biases
from
confounding
reverse
causality.
Leveraging
summary
statistics
genome-wide
association
studies
(GWAS)
involving
731
traits
(N
=
3757),
1091
metabolite
8299),
367668),
inverse
variance
weighting
(IVW)
is
adopted
the
primary
analytical
method.
The
total
effect
cells
on
LP
decomposed
into
direct
indirect
effects
mediated
by
metabolites.
Results
analysis
reveals
associations
28
38
metabolites
(
P
IVW
<
0.05).
Specifically,
NK
%
lymphocyte
shows
negatively
correlated
(OR
0.952;
95%
CI:
[0.910,
0.995],
0.030).
Among
Picolinate
significantly
contributes,
explaining
16.4%
(95%
[28.3%,
4.54%])
between
LP.
Conclusion
These
findings
support
potential
protective
LP,
partially
levels.
Thus,
interventions
targeting
levels
may
mitigate
burden
attributed
low
counts.
provides
new
evidence
insights
pathogenesis
planus,
advancing
our
understanding
underlying
Frontiers in Endocrinology,
Journal Year:
2024,
Volume and Issue:
15
Published: Aug. 27, 2024
Background
Lung
adenocarcinoma
(LUAD)
is
the
most
common
type
of
lung
cancer,
and
its
pathogenesis
remains
not
fully
elucidated.
Inflammation
metabolic
dysregulation
are
considered
to
play
crucial
roles
in
LUAD
development,
but
their
causal
relationships
specific
mechanisms
remain
unclear.
Methods
This
study
employed
a
two-sample
Mendelian
randomization
(MR)
approach
systematically
evaluate
associations
between
91
circulating
inflammatory
factors,
1,400
serum
metabolites,
LUAD.
We
utilized
genome-wide
association
studies
(GWAS)
data
from
FinnGen
biobank
GWAS
metabolites
factors
catalog
conduct
MR
analyses.
For
identified
key
we
further
used
mediator
investigate
mediating
effects
influence
IL-17A
on
explored
potential
through
protein-protein
interaction
functional
enrichment
Results
The
analyses
revealed
that
(OR
0.78,
95%CI
0.62-0.99)
was
negatively
associated
with
LUAD,
while
71
were
significantly
Among
them,
ferulic
acid
4-sulfate
may
role
suppression
by
0.87,
0.78-0.97).
exert
anti-LUAD
extensive
interactions
genes
related
metabolism
(such
as
SULT1A1,
CYP1A1,
etc.),
inhibiting
oxidative
stress
responses,
well
downstream
tumor-related
pathways
MAPK,
NF-κB,
etc.).
Conclusion
discovered
IL-17A,
multiple
occurrence,
revealing
pathogenesis.
Our
findings
provide
new
evidence-based
medical
support
for
early
predictive
risk
assessment
biomarkers
offering
important
clues
subsequent
mechanistic
precision
medicine
applications.
Frontiers in Endocrinology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 23, 2025
Background
This
study
explored
the
causal
connection
among
plasma
lipidome,
nonalcoholic
fatty
liver
disease
(NAFLD),
and
potential
metabolome
mediators
through
Mendelian
randomization
(MR).
Methods
We
obtained
summary
statistics
for
179
lipidome
traits
(
N
=
7,174),
1,400
8,299),
one
NAFLD
trait
from
publicly
available
genome-wide
association
studies.
A
two-sample
MR
analysis
was
conducted
to
infer
causality.
Additionally,
multiple
sensitivity
analyses
were
assess
heterogeneity,
horizontal
pleiotropy,
robustness
of
findings.
MetaboAnalyst
6.0
used
pathway
identified
lipids
metabolites.
Furthermore,
we
mediation
whether
effect
on
mediated
by
metabolome.
Results
The
predicted
a
genetically
determined
relationship
between
lipidomes
NAFLD.
No
compelling
proof
found
that
influenced
risk
five
mentioned
earlier.
Based
established
relationships
metabolites,
eight
metabolic
pathways
are
closely
associated
with
Our
revealed
six
relationships,
indicating
specific
pleiotropy
in
analysis.
Conclusions
In
summary,
our
lipidomes,
metabolomes,
Certainly,
impact
is
not
limited
need
further
investigate
into
other
possible
mediators.
These
factors
may
become
new
biomarkers
contributing
its
prevention,
diagnosis,
treatment.
Frontiers in Cellular and Infection Microbiology,
Journal Year:
2025,
Volume and Issue:
15
Published: Feb. 24, 2025
Microorganisms
contribute
to
the
pathogenesis
of
obesity,
while
more
studies
focus
on
gut
microbiome.
However,
relationship
between
oral
microbiota
and
obesity
has
yet
be
elucidated.
This
study
was
designed
investigate
similarities
differences
in
effects
a
high-fat
diet
salivary
through
mouse
experiments,
exploring
hypothesis
that
microbial
mechanisms
may
obesity.
An
obese
model
established
male
C57BL/6J
mice
by
feeding
diet,
confirmed
body
weight
records
blood
glucose
tests.
evaluated
physiological
mice.
16S
rRNA
sequencing
technology
used
analyze
changes
microbiota,
gas
chromatography-mass
spectrometry
employed
evaluate
17
short-chain
medium-chain
fatty
acids
quantitatively.
The
distribution
different
(HFD)
normal
chow
(NCD)
groups.
At
genus
level
Streptococcus
Escherichia
were
highly
abundant
HFD
group.
Rodentibacter
Turicibacter
NCD
Regarding
microbiome,
diversity
are
significant
than
those
microbiota.
group
had
significantly
higher
abundance
Kineothrix,
Cryptobacteroides,
lower
CAG-485.
Nine
genera
consistent
alterations
among
which
Akkermansia,
Lactobacillus,
Intestinimonas
correlated
with
indicators,
Muribaculum
increased
decanoic
acid
levels
dysregulated
nine
associated
upregulation
certain
metabolic
pathways
group,
including
pentose
phosphate,
bacterial
invasion
epithelial
cells,
steroid
biosynthesis
pathways.
There
Certain
oral-gut
axis
altered
consistently
affect
involving
inflammation.
Journal of Inflammation Research,
Journal Year:
2025,
Volume and Issue:
Volume 18, P. 4057 - 4073
Published: March 1, 2025
An
increasing
number
of
studies
have
demonstrated
a
strong
correlation
between
metabolism,
inflammation,
and
chronic
obstructive
pulmonary
disease
(COPD).
However,
it
remains
unclear
if
there
is
causal
relationship
these
factors.
This
study
employed
the
Mendelian
randomization
(MR)
approach
to
investigate
associations
factors
explore
mediating
roles
key
inflammatory
proteins.
MR
was
used
assess
plasma
metabolites,
proteins,
COPD.
Sensitivity
analyses
were
performed
verify
robustness
findings.
Mediation
analysis
conducted
proteins
in
metabolism-COPD
pathway.
We
constructed
protein-protein
interaction
(PPI)
network
explored
potential
mechanism
through
gene
ontology
(GO)
Kyoto
Encyclopedia
Genes
Genomes
(KEGG)
pathway
enrichment.
Single-cell
sequencing
transcriptome
datasets
for
auxiliary
validation.
Finally,
experimental
validation
using
human
lung
tissue.
identified
63
10
metabolite
ratios,
48
that
associated
with
COPD,
all
which
exhibited
relationships.
Furthermore,
three
as
mediators
metabolite-to-COPD
PPI
network,
GO
KEGG
enrichment
revealed
biological
pathways
they
involved.
Validation
expression
intermediary
tissue
NRXN3
expressed
endothelial
cells
exerted
protective
effect
against
COPD
development.
The
among
These
findings
offer
novel
insights
into
metabolism-inflammation-COPD
mechanisms,
suggesting
interventions
targeting
metabolic
processes
may
represent
promising
strategy
preventing
onset
or
progression
BMC Microbiology,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: April 27, 2025
Research
has
established
links
between
the
gut
microbiome
(GM)
and
both
obesity
type
2
diabetes
(T2D),
which
is
much
discussed,
but
underexplored.
This
study
employed
body
mass
index
(BMI)
as
measurement
of
to
delve
deeper
into
correlations
from
a
genetic
perspective.
We
performed
Mendelian
randomization
(MR)
analysis
examine
causal
effects
GM
on
T2D
BMI,
vice
versa.
Genome-wide
association
(GWAS)
summary
datasets
were
utilized
for
analysis,
including
(N
=
933,970),
BMI
806,834),
two
international
consortium
MiBioGen
(211
taxa,
N
18,340)
Dutch
Microbiome
Project
(DMP)
(207
7,738).
These
mainly
cover
European
populations,
with
additional
cohorts
Asia
other
regions.
To
further
explore
potential
mediating
role
in
connections
T2D,
their
interaction
patterns
summarized
network.
MR
identified
9
taxa
that
showed
protective
properties
against
T2D.
Seven
species
within
Firmicutes
Bacteroidales
phyla
DMP,
(Odds
Ratio
(OR):
0.94-0.95).
Conversely,
components
contributing
abundance
12
associated
increased
risks
(OR:
1.04-1.12).
Furthermore,
may
elevate
seven
1.03-1.08)
reduce
six
0.93-0.97).
In
influence
component
composition,
affected
52
bacterial
28
decreasing
0.75-0.92)
24
increasing
1.08-1.27).
Besides,
abundances
25
negatively
correlated
0.95-0.99),
while
positive
detected
14
1.01-1.05).
Notably,
we
uncovered
11
genetically
formed
an
interactive
Our
findings
provide
evidence
GM-mediated
The
identification
relevant
offers
valuable
insights
these
diseases.
Phytotherapy Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 1, 2025
ABSTRACT
Obesity,
along
with
its
associated
health
risks
such
as
hypertension,
hyperlipidemia,
Type
2
diabetes,
stroke,
metabolic
syndrome,
asthma,
and
cancer,
constitutes
a
significant
global
burden,
contributing
substantially
to
morbidity
mortality.
Cytokines,
group
of
secreted
signaling
proteins,
are
crucial
in
initiating,
maintaining,
resolving
immune
responses.
Although
cytokines
have
unique
advantages
regulating
functions,
their
therapeutic
application
for
obesity
remains
limited
clinical
practice.
Natural
compounds,
known
structural
diversity
low
toxicity,
become
valuable
resource
drug
development.
Many
natural
compounds
shown
anti‐obesity
effects.
This
review
comprehensively
examines
the
mechanisms
underlying
obesity,
specific
focus
on
roles
cytokines,
inflammatory
adipokines,
growth
factors.
Additionally,
it
highlights
regulatory
interactions
between
gut
microbiota
obesity.
The
critically
analyzes
current
pharmacological
interventions
summarizes
advanced
methodologies
identifying
potential
compounds.
Finally,
identifies
promising
that
modulate
cytokine
activity
prevent
or
treat
assesses
complementary
alternative
therapies.
Microbiology Spectrum,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 15, 2025
ABSTRACT
Obesity
is
a
global
health
problem
driven
by
genetic,
endocrine,
and
environmental
factors.
Gut
microbiota
significantly
influences
obesity,
yet
causal
relationships
underlying
pathways
remain
elusive.
The
objective
of
the
study
was
to
investigate
between
gut
microbiota,
metabolites,
obesity;
elucidate
potential
mediating
obesity
onset;
identify
novel
genes;
explore
impact
plasma
proteins
on
risk.
Bidirectional
two-sample
Mendelian
randomization
(MR)
were
used
relationships.
Mediation
analyses
identified
mechanisms
linking
obesity.
Pathway
protein-protein
interaction
assessed
genetic
protein
associations.
MR
analysis
results
11
species
with
associations
69
metabolites
that
causally
related
seven
bacteria
relationships,
mediated
metabolites.
Single
nucleotide
polymorphisms
(SNP)-related
gene
set
enrichment
revealed
clustering
in
concentration
genes
enriched
for
phosphatidylinositol
3-kinase
(PI3K)/protein
kinase
B
(PKB/AKT)
membrane-related
signaling
pathways.
Fms-related
receptor
tyrosine
1
(FLT1),
growth-associated
43
(GAP43),
SLIT
NTRK-like
family
member
(SLITRK1)
had
protective
effects
against
This
links
bacteria,
therapeutic
targets.
Findings
deepen
understanding
obesity’s
complex
suggest
prevention
treatment
strategies,
emphasizing
IMPORTANCE
pioneered
use
approaches
mediator
confirm
relationship
also
explored
how
these
factors
work
together
promote
through
specific
interactions.
finding
provides
theoretical
basis
targets
precision
medicine
strategies
which
great
clinical
significance.
In
addition,
identification
as
biomarkers
opens
up
new
avenues
tailoring
intervention
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: May 30, 2025
Introduction
Obesity
is
marked
by
chronic
inflammation,
with
research
showing
notable
changes
in
cytokines.
However,
systematic
investigations
into
cytokine
level
are
still
lacking.
This
study
compared
the
concentrations
of
various
cytokines
peripheral
blood
healthy
controls
and
obese
children.
Methods
Peripheral
samples
from
test
cohort
including
5
children
obesity
were
used
to
evaluate
concentration
levels
48
inflammatory
Bio-Plex
assay.
Diet-induced
(DIO)
mice
assess
whether
there
significant
differences
expression
MIP-1b,
PDGF-BB.
validation
44
PDGF-BB,
IP-10,
IL-6,
IL-9
TNF-β.
Results
In
assay,
MIP-1b
PDGF-BB
between
Additionally,
IL-9,
TNF-β
exhibited
a
trend
difference
two
groups.
no
observed
control
DIO
mice.
Notably,
we
found
that
IL-6
serum
children,
suggesting
may
play
key
role
response
associated
obesity.
Discussion
summary,
our
emphasizes
importance
other
childhood
suggests
future
should
further
explore
specific
roles
these
pathophysiological
states
obesity,
aiming
provide
new
strategies
for
prevention
treatment
Mediators of Inflammation,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
Background:
Previous
observational
studies
have
suggested
an
association
between
the
composition
of
intestinal
microbiome
and
lactose
intolerance
(LI).
However,
causal
direction
remains
unclear.
This
study
utilized
Mendelian
randomization
(MR)
to
rigorously
evaluate
potential
link
gut
LI.
Methods:
Genome‐wide
(GWASs)
summary
statistics
for
microbiota
LI
were
sourced
from
previously
published
GWAS
studies.
Multiple
methods,
such
as
Simple
mode,
MR‐Egger
regression,
weighted
median,
inverse
variance‐weighted
(IVW),
model,
used
determine
relationship
To
validate
primary
findings
MR
analyses,
several
sensitivity
analyses
conducted.
Furthermore,
a
reverse
analysis
was
executed
on
bacterial
taxa
identified
with
risk,
aiming
possibility
causation.
Results:
The
IVW
results
revealed
that
genus
Lachnospiraceae
UCG008
(OR
=
0.584,
95%CI
0.356–0.958,
p
0.0330),
Eubacterium
hallii
group
0.467,
95%
CI
0.242–0.899,
0.023),
Ruminococcus
gauvreauii
0.506,
0.2653–0.968,
0.039)
protective
effect
against
In
contrast,
Holdemania
1.86,
1.105–3.131,
0.0194)
displayed
predisposing
effect.
Sensitivity
did
not
detect
any
outlier
single‐nucleotide
polymorphisms
(SNPs).
Further
reinforced
specific
compositions
No
evidence
causality
in
analysis.
Conclusions:
From
genetic
standpoint,
this
indicates
variations
only
underscores
microbiota‐centric
treatments
but
also
provides
foundation
exploring
role
development.
mechanism
treatment
IL
is
conducive
discovery
new
therapeutic
targets
IL.