An updated review on abnormal epigenetic modifications in the pathogenesis of systemic lupus erythematosus
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 6, 2025
Systemic
lupus
erythematosus
(SLE)
is
a
chronic
autoimmune
disease.
The
inconsistent
prevalence
of
SLE
between
monozygotic
twins
suggests
that
environmental
factors
affect
the
occurrence
this
Abnormal
epigenetic
regulation
strongly
associated
with
pathogenesis
SLE.
Epigenetic
mechanisms
may
be
involved
in
development
through
DNA
methylation,
histone
modification,
noncoding
RNAs,
and
other
modifications.
This
review
aims
to
show
numerous
studies
as
treasure
map
better
understand
effects
aberrant
modification
onset
SLE,
which
will
benefit
current
basic
research
provide
potential
diagnostic
biomarkers
or
therapeutic
targets
for
Language: Английский
Identification of m6A-related biomarkers in Kawasaki disease
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease,
Journal Year:
2025,
Volume and Issue:
unknown, P. 167744 - 167744
Published: Feb. 1, 2025
Language: Английский
Research and analysis of differential gene expression in CD34 hematopoietic stem cells in myelodysplastic syndromes
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(3), P. e0315408 - e0315408
Published: March 12, 2025
Objective
This
study
aims
to
investigate
and
analyze
the
differentially
expressed
genes
(DEGs)
in
CD34
+
hematopoietic
stem
cells
(HSCs)
from
patients
with
myelodysplastic
syndromes
(MDS)
through
bioinformatics
analysis,
ultimate
goal
of
uncovering
potential
molecular
mechanisms
underlying
pathogenesis
MDS.
The
findings
this
are
expected
provide
novel
insights
into
clinical
treatment
strategies
for
Methods
Initially,
we
downloaded
three
datasets,
GSE81173,
GSE4619,
GSE58831,
public
Gene
Expression
Omnibus
(GEO)
database
as
our
training
sets,
selected
GSE19429
dataset
validation
set.
To
ensure
data
consistency
comparability,
standardized
sets
removed
batch
effects
using
ComBat
algorithm,
thereby
integrating
them
a
unified
gene
expression
dataset.
Subsequently,
conducted
differential
analysis
identify
significant
changes
levels
across
different
disease
states.
In
order
enhance
prediction
accuracy,
incorporated
six
common
predictive
models
trained
based
on
filtered
After
comprehensive
evaluation,
ultimately
algorithms—Lasso
regression,
random
forest,
support
vector
machine
(SVM)—as
core
models.
more
precisely
pinpoint
closely
related
characteristics,
utilized
aforementioned
learning
methods
took
intersection
these
results,
yielding
robust
list
associated
features.
Following
this,
in-depth
key
set
validated
results
independently
Furthermore,
performed
groups,
co-expression
enrichment
delve
deeper
roles
initiation
progression.
Through
analyses,
aim
new
foundations
diagnosis
treatment.
Figure
illustrates
preprocessing
workflow
study.
Results
Our
CD34+
revealed
differences
patterns
compared
control
group
(individuals
without
MDS).
Specifically,
two
genes,
IRF4
ELANE,
were
notably
downregulated
HSCs
MDS
patients,
indicating
their
downregulatory
pathological
process
Conclusion
sheds
light
MDS,
particular
focus
pivotal
ELANE
pathogenic
genes.
perspective
understanding
complexity
exploring
therapeutic
strategies.
They
may
also
guide
development
precise
effective
treatments,
such
targeted
interventions
directed
against
Language: Английский
Biomarkers for systemic lupus erythematosus: A scoping review
Su‐jie Zhang,
No information about this author
R.C. Xu,
No information about this author
Longli Kang
No information about this author
et al.
Immunity Inflammation and Disease,
Journal Year:
2024,
Volume and Issue:
12(10)
Published: Oct. 1, 2024
Abstract
Background
In
recent
years,
newly
discovered
potential
biomarkers
have
great
research
in
the
diagnosis,
disease
activity
prediction,
and
treatment
of
systemic
lupus
erythematosus
(SLE).
Objective
this
study,
a
scoping
review
for
SLE
over
several
years
has
identified
extent
to
which
studies
on
been
conducted,
specificity,
sensitivity,
diagnostic
value
SLE,
these
detection
is
discussed.
Methods
PubMed
Google
Scholar
databases,
“SLE,”
“biomarkers,”
“predictor,”
“autoimmune
diseases,”
“lupus
nephritis,”
“neuropsychiatric
SLE,”
“diagnosis,”
“monitoring,”
“disease
activity”
were
used
as
keywords
systematically
search
molecular
published
from
2020
2024.
Analyze
summarize
literature
that
can
guide
article.
Conclusions
Recent
findings
suggest
some
may
clinical
application
prospects.
However,
date,
many
not
subjected
repeated
validation.
And
no
single
biomarker
sufficient
sensitivity
specificity
SLE.
It
scientific
choose
only
one
or
judge
complex
be
good
direction
carry
out
meta‐analysis
various
find
suitable
use,
evaluate
by
combining
multiple
through
mathematical
models.
At
same
time,
advanced
computational
methods
are
needed
analyze
large
data
sets
discover
new
biomarkers,
strive
sensitive
specific
enough
practice,
rather
than
staying
experimental
analysis.
Language: Английский
The Roles of RNA N6-methyladenosine Modifications in Systemic Lupus Erythematosus
Xin Xia,
No information about this author
Rui Qu
No information about this author
Cell Biochemistry and Biophysics,
Journal Year:
2024,
Volume and Issue:
82(4), P. 3223 - 3234
Published: Aug. 2, 2024
Language: Английский
POLE -related gene signature predicts prognosis, immune feature, and drug therapy in human endometrioid carcinoma
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(8), P. e29548 - e29548
Published: April 1, 2024
The
POLE
subtype
of
Endometrial
carcinoma
(EC)
is
linked
to
a
favourable
prognosis
in
the
molecular
classification.
We
proposed
ascertain
potential
connection
between
and
improved
prognosis.
In
order
forecast
prognosis,
least
absolute
shrinkage
selection
operator
(LASSO)
Cox
regression
analysis
weighted
gene
co-expression
network
(WGCNA)
were
employed,
POLE-related
risk
signature
(PRS)
model
was
developed
validated.
Single-sample
set
enrichment
(ssGSEA)
with
"GSVA"
package
employed
analyse
immunity
characteristics.
Drug
susceptibility
studies
conducted
compare
half-maximal
inhibitory
concentration
(IC50)
medicines
high-
low-risk
groups.
PRS
generated
employing
LASSO
coefficients
ELF1,
MMADHC,
AL021707.6
genes.
Our
study
demonstrated
that
score
tumour
stage,
grade,
survival.
Furthermore,
group
possessed
elevated
levels
expression
connected
immunological
checkpoints
HLA.
outcomes
emerged
might
have
value
identifying
patients
good
facilitating
personalised
treatment
clinic.
Language: Английский