Identification of key genes and signaling pathway in the pathogenesis of Huntington's disease via bioinformatics and next generation sequencing data analysis
Egyptian Journal of Medical Human Genetics,
Journal Year:
2025,
Volume and Issue:
26(1)
Published: March 4, 2025
Abstract
Background
Huntington's
disease
(HD)
could
cause
progressive
motor
deficits,
psychiatric
symptoms,
and
cognitive
impairment.
With
the
increasing
use
of
pharmacotherapies
theoretically
target
neurotransmitters,
incidence
HD
is
still
not
decreasing.
However,
molecular
pathogenesis
have
been
illuminate.
It
momentous
to
further
examine
HD.
Methods
The
next
generation
sequencing
dataset
GSE105041
was
downloaded
from
Gene
Expression
Omnibus
(GEO)
database.
Using
DESeq2
in
R
bioconductor
package
screen
differentially
expressed
genes
(DEGs)
between
samples
normal
control
samples.
ontology
(GO)
term
REACTOME
pathway
enrichment
were
performed
on
DEGs.
Meanwhile,
using
Integrated
Interactions
Database
(IID)
database
Cytoscape
software
construct
protein–protein
interaction
(PPI)
network
module
analysis,
identify
hub
with
highest
value
node
degree,
betweenness,
stress
closeness
scores.
miRNA-hub
gene
regulatory
TF-hub
constructed
analyzed.
Receiver
operating
characteristic
curves
analysis
for
diagnostic
genes.
Results
We
identified
958
DEGs,
consisting
479
up
regulated
DEGs
down
GO
terms
analyses
by
g:Profiler
online
results
revealed
that
mainly
enriched
multicellular
organismal
process,
developmental
signaling
GPCR
MHC
class
II
antigen
presentation.
Network
Analyzer
plugin
PPI
network,
LRRK2,
MTUS2,
HOXA1,
IL7R,
ERBB3,
EGFR,
TEX101,
WDR76,
NEDD4L
COMT
selected
as
Hsa-mir-1292-5p,
hsa-mir-4521,
ESRRB
SREBF1
are
potential
biomarkers
predicted
be
associated
Conclusion
This
study
investigated
key
pathways
interactions
its
complications,
which
might
help
reveal
correlation
complications.
current
investigation
captured
prediction,
follow-up
biological
experiments
enforced
validation.
Language: Английский
Identification and mechanism analysis of biomarkers related to butyrate metabolism in COVID-19 patients
Annals of Medicine,
Journal Year:
2025,
Volume and Issue:
57(1)
Published: March 12, 2025
Background
Butyrate
may
inhibit
SARS-CoV-2
replication
and
affect
the
development
of
COVID-19.
However,
there
have
been
no
systematic
comprehensive
analyses
role
butyrate
metabolism-related
genes
(BMRGs)
in
Language: Английский