Dissecting causal relationships between immune cells, plasma metabolites, and COPD: a mediating Mendelian randomization study
Zhenghua Cao,
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Tong Wu,
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Yakun Fang
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et al.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: May 28, 2024
This
study
employed
Mendelian
Randomization
(MR)
to
investigate
the
causal
relationships
among
immune
cells,
COPD,
and
potential
metabolic
mediators.
Utilizing
summary
data
from
genome-wide
association
studies,
we
analyzed
731
cell
phenotypes,
1,400
plasma
metabolites,
COPD.
Bidirectional
MR
analysis
was
conducted
explore
links
between
cells
complemented
by
two-step
mediation
multivariable
identify
mediating
metabolites.
Causal
were
identified
41
phenotypes
with
6
exhibiting
reverse
causality.
Additionally,
21
metabolites
causally
related
Through
analyses,
8
found
have
COPD
mediated
(including
one
unidentified),
1-methylnicotinamide
levels
showing
highest
proportion
at
26.4%.
We
These
findings
contribute
screening
of
individuals
high
risk
for
offer
insights
into
early
prevention
precocious
diagnosis
Pre-COPD.
Language: Английский
The Mediation of Circulating Inflammatory Proteins in the Causal Pathway from Immune Cells to COPD
Keqiang Yan,
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Yingjian Wang,
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Peng Xin
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et al.
International Journal of COPD,
Journal Year:
2025,
Volume and Issue:
Volume 20, P. 245 - 257
Published: Feb. 1, 2025
Objective:
Observational
studies
have
indicated
that
immune
cells
and
circulating
inflammatory
proteins
may
play
a
dual
role
in
the
progression
of
COPD;
however,
precise
mechanisms
remain
uncertain.
The
objective
this
study
was
to
ascertain
causal
relationship
between
COPD
quantify
potential
as
mediators.
Methods:
A
two-sample
Mendelian
randomisation
analysis
conducted
involving
731
cells,
91
COPD,
utilising
summary-level
data
from
genome-wide
association
studies.
relationships
were
sequentially
analysed
by
multivariate
validated
using
Bayesian
weighted
randomisation.
Subsequently,
sensitivity
analyses
conducted,
employing
Cochran's
Q
test
assess
heterogeneity,
MR-PRESSO
MR-Egger
tests
pleiotropy,
reverse
MR
Steiger
directionality
rule
out
causality.
Lastly,
two-step
approach
employed
proportion
mediate
cell-mediated
effects
COPD.
Results:
combination
inverse
variance
weighting
method
algorithm
identified
30
found
be
causally
associated
with
well
eight
By
analysis,
six
cell
phenotypes
on
CXCL10
having
highest
percentage
mediation
at
14.49%,
followed
IL20RA
11.47%.
Conclusion:
This
provides
comprehensive
investigation
an
estimation
effect
These
findings
facilitate
identification
individuals
high
risk
offer
novel
insights
for
early
prevention
clinical
intervention.
Keywords:
randomization,
proteins,
Language: Английский
Decoding LncRNA in COPD: Unveiling Prognostic and Diagnostic Power and Their Driving Role in Lung Cancer Progression
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(16), P. 9001 - 9001
Published: Aug. 19, 2024
Chronic
obstructive
pulmonary
disease
(COPD)
and
lung
cancer
represent
formidable
challenges
in
global
health,
characterized
by
intricate
pathophysiological
mechanisms
multifaceted
progression.
This
comprehensive
review
integrates
insights
from
diverse
perspectives
to
elucidate
the
roles
of
long
non-coding
RNAs
(lncRNAs)
pathogenesis
COPD
cancer,
focusing
on
their
diagnostic,
prognostic,
therapeutic
implications.
In
context
COPD,
dysregulated
lncRNAs,
such
as
NEAT1,
TUG1,
MALAT1,
HOTAIR,
GAS5,
emerge
pivotal
regulators
genes
involved
Their
identification,
profiling,
correlation
with
severity
present
promising
avenues
for
prognostic
diagnostic
applications,
thereby
shaping
personalized
interventions.
These
lncRNAs
are
also
implicated
underscoring
potential
across
both
diseases.
domain
play
modulatory
progression,
offering
innovative
approaches
indicators.
LncRNA-mediated
immune
responses
have
been
shown
drive
progression
modulating
tumor
microenvironment,
influencing
cell
infiltration,
altering
cytokine
production.
dysregulation
significantly
contributes
growth,
metastasis,
chemo-resistance,
emphasizing
significance
targets
markers.
summarizes
transformative
lncRNA-based
diagnostics
therapeutics
valuable
into
future
research
directions
clinical
translation
development.
Language: Английский
Investigating Angiogenesis-Related Biomarkers in Osteoarthritis Patients Through Transcriptomic Profiling
Yang Zheng,
No information about this author
Miaojia Fang,
No information about this author
Shriya Sanan
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et al.
Journal of Inflammation Research,
Journal Year:
2024,
Volume and Issue:
Volume 17, P. 10681 - 10697
Published: Dec. 1, 2024
Osteoarthritis
(OA)
is
a
common
age-related
joint
disease
characterized
by
destruction
and
impaired
quality
of
life.
Angiogenesis
plays
vital
role
in
OA
progression.
This
study
aimed
to
identify
key
angiogenesis-related
genes
(ARGs)
using
transcriptomic
machine
learning
methods.
Language: Английский