Genetically Predicted Plasma Metabolome Mediates the Causal Link Between Immune Cells and Risk of Gout
International Journal of Rheumatic Diseases,
Journal Year:
2025,
Volume and Issue:
28(2)
Published: Feb. 1, 2025
ABSTRACT
Background
Gout
is
a
prevalent
metabolic
disorder
characterized
by
multifaceted
process
of
development.
Recent
research
has
emphasized
robust
correlation
between
the
immune
response
and
gout.
Nevertheless,
it
still
uncertain
if
this
connection
causative.
Hence,
objective
study
was
to
investigate
causal
relationship
cells
gout,
while
also
analyzing
role
plasma
metabolome
as
mediators
in
biological
process.
Methods
This
explored
link
different
subtypes
gout
using
two‐sample
Mendelian
randomization
(MR).
To
confirm
reliability
findings,
reverse
MR
analysis,
steiger
test
sensitivity
tests
were
conducted.
A
two‐step
mediation
analysis
used
gain
insight
into
metabolites
intermediate
mediators.
Results
two‐sample,
bidirectional,
found
nominal
33
well
47
known
Reverse
demonstrated
results.
In
addition,
we
that
Tetradecadienedioate
(C14:2‐DC)
played
partially
mediating
CD4
on
activated
regulatory
T
cell
pathways,
with
proportion
13.16%,
(95%
CI
=
0.65%–25.67%,
p
0.034).
Conclusion
The
our
possible
causative
Our
findings
indicate
certain
may
play
association.
offers
novel
insights
sources
information
contribute
early
detection
proactive
measures
avoid
future.
Language: Английский
Potential Molecular Mechanisms of Paederia Foetida L. In Gout Treatment Through Network Pharmacology And Molecular Docking
Hoàng Quoc Tuan,
No information about this author
Hoang Ngoc Phuong Vy,
No information about this author
Nguyễn Thị Thu
No information about this author
et al.
The EuroBiotech Journal,
Journal Year:
2025,
Volume and Issue:
9(2), P. 138 - 153
Published: April 1, 2025
Abstract
The
global
incidence
of
gout
has
been
steadily
increasing.
Paederia
foetida
L.,
a
traditional
medicine,
is
used
to
treat
in
Vietnam,
though
its
active
compounds’
molecular
mechanisms
remain
uncertain.
This
study
network
pharmacology
and
docking
predict
the
potential
targets
pathways
P.
bioactive
components
treatment,
providing
insights
for
clinical
applications.
Compounds
were
identified
using
TCMSP
database,
while
associated
with
obtained
from
GeneCards,
TTD,
OMIM
databases.
A
Venn
diagram
was
employed
determine
common
targets,
Cytoscape
software
construct
compound-target-pathway
interaction
network.
GO
KEGG
enrichment
analyses
performed
identify
key
biological
processes
pathways.
AutoDockTools
verify
between
compounds
core
targets.
Five
49
identified.
analysis
revealed
that
influenced
multiple
processes,
cellular
components,
functions.
elucidated
primary
mechanism
treatment
may
be
primarily
related
IL-17
signaling
pathway
several
other
anti-inflammatories
Molecular
confirmed
strong
binding
(affinity
<
-5
kcal/mol)
five
protein
including
TP53,
IL6,
HSP90AA1,
TNF,
IL1B,
BCL2,
PTGS2,
MAPK1,
MAPK8.
Among
scores
MAPK8
(7.2-10.1
best.
Active
such
as
quercetin,
beta-sitosterol,
kaempferol,
pelargonidin,
paederosidic
acid
methyl
ester
exhibited
therapeutic
effects
on
gout.
Through
silico
screening,
action
treating
can
determined
act
through
provides
more
ideas
vitro
vivo
experiments
develop
herbal
medicines
treatment.
Language: Английский
Genetic insights into therapeutic targets for gout: evidence from a multi-omics mendelian randomization study
Mingyuan Fan,
No information about this author
Zhangjun Yun,
No information about this author
Jiushu Yuan
No information about this author
et al.
Hereditas,
Journal Year:
2024,
Volume and Issue:
161(1)
Published: Dec. 30, 2024
Abstract
Background
Considering
that
the
treatment
of
gout
is
poor,
we
performed
a
Mendelian
randomization
(MR)
study
to
identify
candidate
biomarkers
and
therapeutic
targets
for
gout.
Methods
A
drug-targeted
MR
was
by
integrating
genome-wide
association
studies
(GWAS)
summary
data
cis
expression
quantitative
trait
loci
2,633
druggable
genes
from
multiple
cohorts.
Summary
data-based
(SMR)
analyses
based
on
transcript
protein
levels
were
further
implemented
validate
reliability
identified
potential
Phenome-wide
(Phe-MR)
analysis
conducted
in
1403
diseases
investigate
incidental
side
effects
Results
Eight
(ALDH3B1,
FCGR2B,
IL2RB,
NRBP1,
RCE1,
SLC7A7,
SUMF1,
THBS3)
discovery
cohort
using
analysis.
Replication
meta-analysis
replication
validated
robustness
findings
(
P
<
0.05).
Evidence
SMR
0.05)
strengthened
8
also
revealed
high
ALDH3B1
reduced
risk
possibly
modified
methylation
site
cg25402137.
at
level
added
emphasis
impact
NRBP1
SUMF1
Phe-MR
indicated
significant
causality
between
7
causal
45
diseases.
Conclusion
This
several
associated
with
risk,
providing
new
insights
into
etiology
promising
development
agents.
Language: Английский
Exploration of the potential mechanism of Yiyi Tongfeng Formula in the treatment of acute gouty arthritis based on network pharmacology and molecular docking: A review
Bo-yang Tan,
No information about this author
Tao Tao,
No information about this author
Dongyang Lin
No information about this author
et al.
Medicine,
Journal Year:
2024,
Volume and Issue:
103(37), P. e39609 - e39609
Published: Sept. 13, 2024
The
global
prevalence
of
gout
is
on
the
rise.
Yiyi
Tongfeng
Formula
(YTF),
a
traditional
herbal
compound,
has
gained
recognition
for
its
efficacy
in
managing
acute
gouty
arthritis
(AGA).
Despite
widespread
use,
underlying
mechanisms
YTF
AGA
treatment
remain
largely
undefined.
This
study
employed
network
pharmacology
and
molecular
docking
to
elucidate
these
mechanisms.
We
utilized
Traditional
Chinese
Medicine
Systems
Pharmacology
Database
Analysis
Platform,
SymMap
database,
various
literature
sources
identify
active
components
corresponding
targets
YTF.
Relevant
AGA-associated
were
identified
through
Genecards,
Drugbank,
Therapeutic
Target
Database,
Online
Mendelian
Inheritance
Man
databases.
A
protein–protein
interaction
was
constructed
delineate
interactions
between
AGA.
Key
ingredients
central
further
analyzed
using
Cytoscape.
Functional
enrichment
analyses,
including
Gene
Ontology
Kyoto
Encyclopedia
Genes
Genomes,
conducted
via
Metascape.
Additionally,
studies
performed
PyMOL
AutoDock4.
It
found
that
quercetin,
kaempferol,
luteolin
may
be
main
treatment.
analysis
shows
biological
processes
involved
are
cellular
responses
lipids,
inflammatory
responses.
Genomes
suggests
involvement
IL-17
signaling
pathway,
AGE–RAGE
pathway
diabetic
complications,
TNF
so
on.
findings
suggest
multi-faceted
therapeutic
approach
treating
AGA,
involving
multiple
components,
targets,
processes,
pathways.
comprehensive
mechanism
offers
foundation
experimental
validation.
Language: Английский