Single-cell multiomic analysis unveils the immune landscape dynamics of graves’ ophthalmopathy
Shurui Ke,
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Zhong Liu,
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Ming Zhou
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et al.
Communications Biology,
Journal Year:
2025,
Volume and Issue:
8(1)
Published: May 12, 2025
Graves'
ophthalmopathy
(GO)
is
an
autoimmune
disease
that
occurs
concurrently
with
disease,
potentially
leading
to
facial
disfigurement
and
irreversible
vision
loss.
However,
the
molecular
characteristics
of
cellular
changes
in
peripheral
immune
environment
GO
patients
remain
unclear.
This
study
presents
a
multi-omics
single-cell
analysis
blood
from
healthy
controls,
revealing
key
alterations
cell
subpopulations.
We
identify
increased
chromatin
accessibility
regulatory
activity
pro-inflammatory
factors,
such
as
FOS
NF-κB
family.
Immune
repertoire
shows
enhanced
diversity
patients.
Notably,
GO-specific
clonal
expansions
are
enriched
CD8
effector
T
(CD8
Te)
cells,
which
exhibit
signs
chemotaxis
exhaustion.
Multi-omics
integration
reveals
SLC35G1
IDNK
expression
Te
linked
phenotypes,
trends
aligning
experimental
results.
find
this
cluster
could
infiltrate
into
orbital
tissues
upregulate
fibrosis-related
pathways
associated
fibroblasts
GO.
These
findings
indicate
its
potential
role
driving
progression.
Our
epigenetic
transcriptomic
landscape
patients,
enhancing
understanding
pathogenic
mechanisms
offering
directions
for
prevention
treatment.
Language: Английский
Hub genes and key pathways of Graves’ disease: bioinformatics analysis and validation
D. Zhuang,
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Xin Hu,
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Huibin Huang
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et al.
HORMONES,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 19, 2025
Language: Английский
Identification and clinical validation of diverse cell-death patterns-associated prognostic features among low-grade gliomas
Wenyong Yang,
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Hui Yu,
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Qingqiang Lei
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et al.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 24, 2024
Low-grade
glioma
(LGG)
is
heterogeneous
at
biological
and
transcriptomic
levels,
it
still
controversial
for
the
definition
typing
of
LGG.
Therefore,
there
an
urgent
need
specific
practical
molecular
signatures
accurate
diagnosis,
individualized
therapy,
prognostic
evaluation
Cell
death
essential
maintaining
homeostasis,
developing
preventing
hyperproliferative
malignancies.
Based
on
diverse
programmed
cell
(PCD)
related
genes
characteristics
LGG,
this
study
constructed
a
model
to
explore
mechanism
treatment
strategies
LGG
metastasis
invasion.
We
screened
1161
associated
with
PCD
divided
512
samples
into
C1
C2
subtypes
by
consistent
cluster
analysis.
analyzed
two
subtypes'
differentially
expressed
(DEGs)
performed
functional
enrichment
Using
R
packages
such
as
ESTIMATE,
CIBERSOTR,
MCPcounter,
we
assessed
immune
scores
both
subtypes.
Compared
C1,
subtype
has
poor
prognosis
higher
score,
patients
in
are
more
strongly
tumor
progression.
LASSO
COX
regression
analysis
four
characteristic
(CLU,
FHL3,
GIMAP2,
HVCN1).
data
sets
from
different
platforms
validate
four-gene
feature,
found
that
expression
correlation
feature
had
high
degree
stability,
showing
stable
predictive
effects.
Besides,
downregulation
CLU,
GIMAP2
significantly
impairs
growth,
migration,
invasive
potential
cells.
Take
together,
based
PCD-related
provides
valuable
information
further
pathogenesis
clinical
Language: Английский