NQO1 polymorphism and susceptibility to ischemic stroke in a Chinese population
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 19, 2024
Abstract
Background
Ischemic
stroke
(IS)
is
a
major
cause
of
death
and
disability
worldwide.
Genetic
factors
are
important
risk
for
the
development
IS.
The
quinone
oxidoreductase
1
gene
(
NQO1)
has
antioxidant,
anti-inflammatory,
cytoprotective
properties.
Thus,
in
this
study,
we
investigated
relationship
between
NQO1
polymorphism
Methods
Peripheral
blood
was
collected
from
143
patients
with
IS
124
healthy
controls
Yunnan,
China,
NQO1
rs2917673,
rs689455,
rs1800566
were
genotyped.
Logistic
regression
used
to
analyze
three
loci
susceptibility.
difference
expression
levels
control
groups
verified
using
public
databases
enzyme-linked
immunosorbent
assay.
Results
rs2917673
locus
increased
by
2.375
times
TT
genotype
carriers
under
co-dominance
model
compared
CC
statistically
associated
(P
=
0.046).
In
recessive
model,
2.407
CC/CT
0.033).
Conclusions
significantly
Mutant
Язык: Английский
Identification of core genes shared by ischemic stroke and myocardial infarction using an integrated approach
Medicine,
Год журнала:
2024,
Номер
103(27), С. e38877 - e38877
Опубликована: Июль 5, 2024
Background:
Both
ischemic
stroke
(IS)
and
myocardial
infarction
(MI)
are
caused
by
vascular
occlusion
that
results
in
ischemia.
While
there
may
be
similarities
their
mechanisms,
the
potential
relationship
between
these
2
diseases
has
not
been
comprehensively
analyzed.
Therefore,
this
study
explored
commonalities
pathogenesis
of
IS
MI.
Methods:
Datasets
for
(GSE58294,
GSE16561)
MI
(GSE60993,
GSE61144)
were
downloaded
from
Gene
Expression
Omnibus
database.
Transcriptome
data
each
4
datasets
analyzed
using
bioinformatics,
differentially
expressed
genes
(DEGs)
shared
identified
subsequently
visualized
a
Venn
diagram.
A
protein–protein
interaction
(PPI)
network
was
constructed
Interacting
Retrieval
Tool
database,
identification
key
core
performed
CytoHubba.
Ontology
(GO)
term
annotation
Kyoto
Encyclopedia
Genes
Genomes
(KEGG)
pathway
enrichment
analysis
DEGs
conducted
prediction
methods,
functions
hub
determined
Metascape.
Results:
The
revealed
116
1321
datasets,
respectively.
Of
75
MI,
56
upregulated
19
downregulated.
Furthermore,
15
–
S100a12,
Hp,
Clec4d,
Cd163,
Mmp9,
Ormdl3,
Il2rb,
Orm1,
Irak3,
Tlr5,
Lrg1,
Clec4e,
Clec5a,
Mcemp1,
Ly96
identified.
GO
showed
they
mainly
involved
biological
neutrophil
degranulation,
activation
during
immune
response,
cytokine
secretion.
KEGG
pathways
pertaining
to
Salmonella
infection,
Legionellosis,
inflammatory
bowel
disease.
Finally,
gene–transcription
factor,
gene–microRNA,
small-molecule
relationships
predicted.
Conclusion:
These
provide
novel
theoretical
basis
diagnosis
treatment
Язык: Английский
NQO1 polymorphism and susceptibility to ischemic stroke in a Chinese population
BMC Medical Genomics,
Год журнала:
2024,
Номер
17(1)
Опубликована: Авг. 22, 2024
Abstract
Background
Ischemic
stroke
(IS)
is
a
major
cause
of
death
and
disability
worldwide.
Genetic
factors
are
important
risk
for
the
development
IS.
The
quinone
oxidoreductase
1
gene
(
NQO1
)
has
antioxidant,
anti-inflammatory,
cytoprotective
properties.
Thus,
in
this
study,
we
investigated
relationship
between
polymorphism
Methods
Peripheral
blood
was
collected
from
143
patients
with
IS
124
control
groups
Yunnan,
China,
rs2917673,
rs689455,
rs1800566
were
genotyped.
Logistic
regression
used
to
analyze
three
loci
susceptibility.
difference
expression
levels
verified
using
public
databases
enzyme-linked
immunosorbent
assay.
Results
rs2917673
locus
increased
by
2.375
times
TT
genotype
carriers
under
co-dominance
model
compared
CC
statistically
associated
(OR
=
2.375,
95%
CI
1.017–5.546,
P
0.046).
In
recessive
model,
2.407
CC/CT
2.407,
1.073–5.396,
0.033).
Conclusions
significantly
Mutant
Язык: Английский
Identification and interaction analysis of molecular markers in myocardial infarction by bioinformatics and next-generation sequencing data analysis
Egyptian Journal of Medical Human Genetics,
Год журнала:
2024,
Номер
25(1)
Опубликована: Окт. 14, 2024
Abstract
Background
Cardiovascular
diseases
are
prevalent
worldwide
with
any
age,
and
it
is
characterized
by
sudden
blockage
of
blood
flow
to
heart
permanent
damage
the
muscle,
whose
cause
underlying
molecular
mechanisms
not
fully
understood.
This
investigation
aimed
explore
identify
essential
genes
signaling
pathways
that
contribute
progression
MI.
Methods
The
aim
this
was
use
bioinformatics
next-generation
sequencing
(NGS)
data
analysis
differentially
expressed
(DEGs)
diagnostic
therapeutic
potential
in
NGS
dataset
(GSE132143)
downloaded
from
Gene
Expression
Omnibus
(GEO)
database.
DEGs
between
MI
normal
control
samples
were
identified
using
DESeq2
R
bioconductor
tool.
gene
ontology
(GO)
REACTOME
pathway
enrichment
analyses
performed
g:Profiler.
Next,
four
kinds
algorithms
protein–protein
interaction
(PPI)
novel
biomarkers.
miRNA-hub
regulatory
network
TF-hub
constructed
miRNet
NetworkAnalyst
database,
Cytoscape
software.
Finally,
effectiveness
hub
predicted
receiver
operator
characteristic
curve
(ROC)
AUC
more
than
0.800
considered
as
having
capability
diagnose
excellent
specificity
sensitivity.
Results
A
total
958
identified,
consisting
480
up-regulated
478
down-regulated
genes.
enriched
GO
terms
include
immune
system,
neuronal
response
stimulus
multicellular
organismal
process.
Ten
(namely
cftr,
cdk1,
rps13,
rps15a,
rps27,
notch1,
mrpl12,
nos2,
ccdc85b
atn1
)
obtained
via
results.
MiRNA-hub
showed
hsa-mir-409-3p
,
hsa-mir-3200-3p
creb1
tp63
might
play
an
important
role
Conclusions
Analysis
combined
global
information
validation
presents
a
successful
approach
uncover
risk
prognostic
markers
Our
risk-
prognostic-related
signatures,
including
.
sets
new
perspective
improve
diagnostic,
prognostic,
outcomes
Язык: Английский