Alcohol Consumption Modulates the Development of Chronic Pain in COVID-19 Patients: A Network Meta-Analysis
ACS Pharmacology & Translational Science,
Journal Year:
2025,
Volume and Issue:
8(2), P. 409 - 422
Published: Feb. 4, 2025
The
mechanisms
underlying
the
onset
and
progression
of
chronic
pain
in
COVID-19
patients
have
been
understudied.
Using
network
meta-analysis,
we
previously
demonstrated
that
alcohol
augments
symptoms
pathologies
possibly
by
inducing
a
severe
cytokine
storm.
We
others
also
reported
acute
consumption
produces
analgesic
effects,
while
results
hyperalgesia
pain.
This
study
aimed
to
identify
influence
on
publicly
available
curated
gene
expression
data
sets
differentially
expressed
genes
(DEGs)
prefrontal
cortex
(PFC)
amygdala
patients,
employed
bioinformatics
application,
QIAGEN
ingenuity
pathway
analysis
(IPA),
key
signaling
pathways,
upstream
regulators,
biological
functions
these
brain
areas
known
play
role
Canonical
revealed
activation
neuropathic
pathways
involving
storm,
S100
family,
IL-6,
neuroinflammation.
IPA's
builder
was
construct
map
shared
molecules
between
pain-related
constructs
(discomfort,
pain,
inflammatory
pain).
simulation
inhibited
this
map.
To
COVID-19,
overlaid
DEGs
from
PFC
onto
networks,
mimicking
during
SARS-CoV-2
infection.
Upregulation
predicted
an
increase
as
well
PFC.
Our
suggest
directly
inhibits
presence
exaggerates
impaired
signaling,
neuroinflammation,
CNS
providing
novel
insights
into
associated
with
patients.
Language: Английский
Potential association between COVID-19 and neurological disorders: analysis of common genes and therapeutics
Frontiers in Neurology,
Journal Year:
2024,
Volume and Issue:
15
Published: Oct. 14, 2024
As
the
COVID-19
pandemic
persists,
increasing
evidences
suggest
that
patients
with
may
face
risks
of
neurological
complications
and
sequelae.
To
address
this
issue,
we
conducted
a
comprehensive
study
aimed
at
exploring
relationship
between
various
disorders,
particular
focus
on
shared
dysregulated
genes
potential
therapeutic
targets.
We
selected
six
disorders
for
investigation,
including
Alzheimer’s
disease,
epilepsy,
stroke,
Parkinson’s
sleep
disorders.
Through
bioinformatics
analysis
association
these
COVID-19,
to
uncover
common
molecular
mechanisms
treatment
pathways.
In
study,
utilized
publicly
available
RNA-Seq
microarray
datasets,
employed
tools
such
as
Limma
DESeq2
differential
gene
analysis.
Gene
Ontology
Kyoto
Encyclopedia
Genes
Genomes
pathway
enrichment
analysis,
explored
biological
features
Additionally,
focused
analyzing
regulatory
roles
miRNA
transcription
factors
differentially
expressed
genes,
predicted
drugs
interacting
genes.
These
analyses
contribute
better
understanding
provide
theoretical
basis
future
strategies.
research,
aim
offer
deeper
insights
scientific
community
present
new
perspectives
clinical
practice
in
addressing
challenges
sequelae
faced
by
patients.
Language: Английский