Identification of common mechanisms and biomarkers for dermatomyositis and atherosclerosis based on bioinformatics analysis
Skin Research and Technology,
Год журнала:
2024,
Номер
30(6)
Опубликована: Июнь 1, 2024
Abstract
Background
Dermatomyositis
(DM)
manifests
as
an
autoimmune
and
inflammatory
condition,
clinically
characterized
by
subacute
progressive
proximal
muscle
weakness,
rashes
or
both
along
with
extramuscular
manifestations.
Literature
indicates
that
DM
shares
common
risk
factors
atherosclerosis
(AS),
they
often
co‐occur,
yet
the
etiology
pathogenesis
remain
to
be
fully
elucidated.
This
investigation
aims
utilize
bioinformatics
methods
clarify
crucial
genes
pathways
influence
pathophysiology
of
AS.
Method
Microarray
datasets
for
(GSE128470,
GSE1551,
GSE143323)
AS
(GSE100927,
GSE28829,
GSE43292)
were
retrieved
from
Gene
Expression
Omnibus
(GEO)
database.
The
weighted
gene
co‐expression
network
analysis
(WGCNA)
was
used
reveal
their
co‐expressed
modules.
Differentially
expression
(DEGs)
identified
using
“limma”
package
in
R
software,
functions
DEGs
determined
functional
enrichment
analysis.
A
protein‐protein
interaction
(PPI)
established
STRING
database,
central
evaluated
cytoHubba
plugin,
validated
through
external
datasets.
Immune
infiltration
hub
conducted
CIBERSORT
method,
Set
Enrichment
Analysis
(GSEA).
Finally,
NetworkAnalyst
platform
employed
examine
transcription
(TFs)
responsible
regulating
pivotal
crosstalk
genes.
Results
Utilizing
WGCNA
analysis,
a
total
271
overlapping
pinpointed.
Subsequent
DEG
revealed
34
are
commonly
found
AS,
including
31
upregulated
3
downregulated
Degree
Centrality
algorithm
applied
separately
collections
select
15
highest
connectivity,
crossing
two
sets
yielded
(PTPRC,
TYROBP,
CXCR4).
Validation
showed
diagnostic
value
immune
lymphocytes
macrophages
significantly
associated
Moreover,
GSEA
suggested
shared
enriched
various
receptor
interactions
multiple
cytokines
signaling
pathways.
We
coupled
respective
predicted
genes,
identifying
potential
key
TF,
CBFB,
which
interacts
all
Conclusion
research
utilized
comprehensive
techniques
explore
three
PTPRC,
CXCR4,
related
correlations
cells
may
serve
therapeutic
targets.
Язык: Английский
Identification of potential crucial genes shared in psoriasis and ulcerative colitis by machine learning and integrated bioinformatics
Skin Research and Technology,
Год журнала:
2024,
Номер
30(2)
Опубликована: Фев. 1, 2024
Abstract
Background
Mounting
evidence
suggest
that
there
are
an
association
between
psoriasis
and
ulcerative
colitis
(UC),
although
the
common
pathogeneses
not
fully
understood.
Our
study
aimed
to
find
potential
crucial
genes
in
UC
through
machine
learning
integrated
bioinformatics.
Methods
The
overlapping
differentially
expressed
(DEGs)
of
datasets
GSE13355
GSE87466
were
identified.
Then
functional
enrichment
analysis
was
performed.
LASSO,
SVM‐RFE
key
module
WGCNA
considered
as
genes.
receiver
operator
characteristic
(ROC)
curve
used
estimate
their
diagnostic
confidence.
CIBERSORT
conducted
evaluate
immune
cell
infiltration.
Finally,
GSE30999
GSE107499
retrieved
validate.
Results
112
DEGs
identified
revealed
they
closely
related
inflammatory
response.
Eight
genes,
including
S100A9,
PI3,
KYNU,
WNT5A,
SERPINB3,
CHI3L2,
ARNTL2,
SLAMF7,
ultimately
ROC
curves
showed
all
had
high
confidence
test
validation
datasets.
indicated
a
correlation
infiltrating
cells
Conclusion
In
our
study,
we
focused
on
comprehensive
understanding
UC.
identification
eight
may
contribute
only
mechanism,
but
also
identifying
occult
patients,
even
serving
therapeutic
targets
future.
Язык: Английский
Exploring the comorbidity mechanisms between psoriasis and obesity based on bioinformatics
Skin Research and Technology,
Год журнала:
2024,
Номер
30(2)
Опубликована: Янв. 26, 2024
Psoriasis
is
a
chronic,
recurrent,
immune-mediated
inflammatory
skin
disease
characterized
by
erythematous
scaly
lesions.
Obesity
currently
major
global
health
concern,
increasing
the
risk
of
diseases
such
as
cardiovascular
and
diabetes.
Since
correlation
between
psoriasis
obesity,
well
hypertension,
diabetes,
diseases,
has
been
clinically
evidenced,
it
certain
clinical
significance
to
explore
mechanisms
underlying
comorbidity
with
these
conditions.
Язык: Английский
Determining IFI44 as a key lupus nephritis’s biomarker through bioinformatics and immunohistochemistry
Renal Failure,
Год журнала:
2025,
Номер
47(1)
Опубликована: Март 18, 2025
Background
Lupus
nephritis
(LN)
emerges
as
a
severe
complication
of
systemic
lupus
erythematosus
(SLE),
significantly
affecting
patient
survival.
Despite
improvements
in
treatment
reducing
LN's
morbidity
and
mortality,
existing
therapies
remain
suboptimal,
emphasizing
the
necessity
for
early
detection
to
improve
outcomes.
Язык: Английский
Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis
Skin Research and Technology,
Год журнала:
2023,
Номер
29(9)
Опубликована: Сен. 1, 2023
An
increasing
amount
of
evidence
suggests
that
psoriasis
and
nonalcoholic
steatohepatitis
(NASH)
may
occur
simultaneously,
whereas
the
underlying
mechanisms
remain
unclear.
Our
research
aims
to
explore
potential
comorbidity
mechanism
in
steatohepatitis.
Язык: Английский
The causal relationship between pure hypercholesterolemia and psoriasis: A bidirectional, two‐sample Mendelian randomization study
Skin Research and Technology,
Год журнала:
2023,
Номер
29(12)
Опубликована: Ноя. 27, 2023
Several
studies
have
reported
the
association
between
pure
hypercholesterolemia
(PH)
and
psoriasis,
but
causal
effect
remains
unclear.We
explored
PH
psoriasis
using
two-sample
bidirectional
Mendelian
randomization
(MR)
analysis
data
from
genome-wide
studies.
Single
nucleotide
polymorphisms
related
with
exposures
at
significance
level
(p
<
5×10-8
)
less
than
linkage
disequilibrium
(r2
0.001)
were
chosen
as
instrumental
variables.
Subsequently,
we
used
inverse
variance
weighting
(IVW),
MR-Egger
weighted
median
(WM)
methods
for
inference.
p
0.05
was
considered
statistically
significant.
Heterogeneity
tested
Cochran's
Q-test,
horizontal
pleiotropy
examined
intercept.
Leave-one-out
analyses
performed
to
assess
robustness
reliability
of
results.MR
results
showed
a
positive
on
[IVW:
odds
ratios
(OR):
1.139,
=
0.032;
MR-Egger:
OR:
1.434,
0.035;
WM:
1.170,
0.045]
psoriatic
arthritis
(PsA)
(IVW:
1.210,
0.049;
regression:
1.796,
0.033;
1.317,
0.028).
However,
there
is
no
relationship
vulgaris
well
other
unspecified
psoriasis.
Inverse
MR
suggested
negative
PsA
0.950,
0.037).
No
heterogeneity
exist,
these
confirmed
be
robust.PH
has
casual
PsA,
may
reduce
risk
having
PH.
Язык: Английский
Identification of key genes and molecular mechanisms of chronic urticaria based on bioinformatics
Skin Research and Technology,
Год журнала:
2024,
Номер
30(4)
Опубликована: Апрель 1, 2024
Abstract
Chronic
urticaria
(CU)
is
characterized
by
persistent
skin
hives,
redness,
and
itching,
enhanced
immune
dysregulation
inflammation.
Our
main
objective
identifying
key
genes
molecular
mechanisms
of
chronic
based
on
bioinformatics.
We
used
the
Gene
Expression
Omnibus
(GEO)
database
retrieved
two
GEO
datasets,
GSE57178
GSE72540.
The
raw
data
were
extracted,
pre‐processed,
analyzed
using
GEO2R
tool
to
identify
differentially
expressed
(DEGs).
samples
divided
into
groups:
healthy
CU
samples.
defined
cut‐off
values
log
2
fold
change
≥1
p
<
.05.
Analyses
performed
in
Kyoto
Encyclopaedia
Genes
Genomes
(KEGG),
Database
for
Annotation,
Visualization
Integrated
Discovery
(DAVID),
Metascape,
Search
Tool
Retrieval
Interacting
Genes/Proteins
(STRING)
CIBERSOFT
databases.
obtained
1613
genes.
There
114
overlapping
both
out
which
102
up‐regulated
while
12
down‐regulated.
biological
processes
included
activation
myeloid
leukocytes,
response
inflammations,
organic
substances.
Moreover,
KEGG
pathways
enriched
Nuclear
Factor‐Kappa
B
(NF‐kB)
signaling
pathway,
Tumor
Necrosis
Factor
(TNF)
Janus
kinase/signal
transducers
activators
transcription
(JAK‐STAT)
pathway.
identified
27
hub
that
implicated
pathogenesis
CU,
such
as
interleukin‐6
(IL‐6),
Prostaglandin‐endoperoxide
synthase
(PTGS2),
intercellular
adhesion
molecule‐1
(ICAM1).
complex
interplay
between
responses,
inflammatory
pathways,
cytokine
networks,
specific
enhances
CU.
Understanding
these
paves
way
potential
interventions
mitigate
symptoms
improve
quality
life
patients.
Язык: Английский
Key genes and immune infiltration patterns and the clinical implications in psoriasis patients
Skin Research and Technology,
Год журнала:
2024,
Номер
30(8)
Опубликована: Авг. 1, 2024
Psoriasis
is
an
immune-mediated
skin
disease,
closely
related
to
immune
regulation.
The
aim
was
understand
the
pathogenesis
of
psoriasis
further,
reveal
potential
therapeutic
targets,
and
provide
new
clues
for
its
diagnosis,
treatment,
prevention.
Язык: Английский
Molecular Morbidity Score–Can MicroRNAs Assess the Burden of Disease?
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(15), С. 8042 - 8042
Опубликована: Июль 24, 2024
Multimorbidity
refers
to
the
presence
of
two
or
more
chronic
diseases
and
is
associated
with
adverse
outcomes
for
patients.
Factors
such
as
an
ageing
population
have
contributed
a
rise
in
prevalence
multimorbidity
globally;
however,
often
neglected
clinical
guidelines.
This
largely
because
patients
are
systematically
excluded
from
trials.
Accordingly,
there
urgent
need
develop
novel
biomarkers
methods
prognostication
this
cohort
The
hallmarks
now
thought
potentiate
pathogenesis
multimorbidity.
MicroRNAs
small,
regulatory,
noncoding
RNAs
which
been
implicated
numerous
diseases;
substantial
body
evidence
implicating
microRNA
dysregulation
different
aetiology
diseases.
article
proposes
using
framework
panel
microRNAs
assess
prognostic
burden
putative
molecular
morbidity
score
would
many
potential
applications,
including
assessing
efficacy
interventions,
informing
decision
making
facilitating
wider
inclusion
Язык: Английский
The diagnostic value and associated molecular mechanism study for fibroblast‐related mitochondrial genes on keloid
Skin Research and Technology,
Год журнала:
2024,
Номер
30(9)
Опубликована: Сен. 1, 2024
This
study
aims
to
reveal
the
mechanism
of
fibroblast-related
mitochondrial
genes
on
keloid
formation
and
explore
promising
signature
for
diagnosis.
Язык: Английский