International Journal of Molecular Sciences,
Journal Year:
2023,
Volume and Issue:
24(20), P. 15471 - 15471
Published: Oct. 23, 2023
COVID-19
pandemic
has
caused
widespread
panic
and
fear
among
the
global
population.
As
such,
repurposing
drugs
are
being
used
as
viable
therapeutic
options
due
to
limited
effective
treatments
for
Long
COVID
symptoms.
Ivermectin
is
one
of
emerging
repurposed
that
been
shown
have
antiviral
effects
in
clinical
trials.
In
addition,
antioxidant
compounds
also
gaining
attention
their
capabilities
reducing
inflammation
severity
Due
absence
knowledge
pharmacogenomics
modes
actions
human
body
these
compounds,
this
study
aims
provide
a
pharmacogenomic
profile
combination
ivermectin
six
selected
antioxidants
(epigallocatechin
gallate
(EGCG),
curcumin,
sesamin,
anthocyanins,
quercetin,
N-acetylcysteine
(NAC))
potentially
regimens
long
Results
showed
there
were
12
interacting
genes
found
ivermectin,
6
antioxidants,
COVID-19.
For
network
pharmacology,
common
genes/proteins
had
highest
associations
with
Pertussis
pathway,
AGE-RAGE
signaling
pathway
diabetic
complications,
colorectal
cancer
Kyoto
Encyclopedia
Genes
Genomes
(KEGG)
analyses.
Disease
analyses
revealed
top
three
relevant
diseases
infections
diabetes
mellitus,
ischemia,
reperfusion
injury.
We
identified
potential
target
microRNAs
(miRNAs)
commonly
curated
molecular
biomarkers
treatments.
The
established
network,
disease
analyses,
miRNAs
could
facilitate
developments
chronic
sequelae
especially
post-pandemic
era.
However,
further
studies
trials
needed
substantiate
effectiveness
dosages
Communications Medicine,
Journal Year:
2024,
Volume and Issue:
4(1)
Published: March 28, 2024
Abstract
Background
Discovering
potential
drug-drug
interactions
(DDIs)
is
a
long-standing
challenge
in
clinical
treatments
and
drug
developments.
Recently,
deep
learning
techniques
have
been
developed
for
DDI
prediction.
However,
they
generally
require
huge
number
of
samples,
while
known
DDIs
are
rare.
Methods
In
this
work,
we
present
KnowDDI,
graph
neural
network-based
method
that
addresses
the
above
challenge.
KnowDDI
enhances
representations
by
adaptively
leveraging
rich
neighborhood
information
from
large
biomedical
knowledge
graphs.
Then,
it
learns
subgraph
each
drug-pair
to
interpret
predicted
DDI,
where
edges
associated
with
connection
strength
indicating
importance
or
resembling
between
whose
unknown.
Thus,
lack
implicitly
compensated
enriched
propagated
similarities.
Results
Here
show
evaluation
results
on
two
benchmark
datasets.
obtains
state-of-the-art
prediction
performance
better
interpretability.
We
also
find
suffers
less
than
existing
works
given
sparser
graph.
This
indicates
similarities
play
more
important
role
compensating
when
enriched.
Conclusions
nicely
combines
efficiency
prior
As
an
original
open-source
tool,
can
help
detect
possible
broad
range
relevant
interaction
tasks,
such
as
protein-protein
interactions,
drug-target
disease-gene
eventually
promoting
development
biomedicine
healthcare.
Clinical Microbiology Reviews,
Journal Year:
2024,
Volume and Issue:
37(2)
Published: May 21, 2024
SUMMARYSince
the
emergence
of
COVID-19
in
2020,
an
unprecedented
range
therapeutic
options
has
been
studied
and
deployed.
Healthcare
providers
have
multiple
treatment
approaches
to
choose
from,
but
efficacy
those
often
remains
controversial
or
compromised
by
viral
evolution.
Uncertainties
still
persist
regarding
best
therapies
for
high-risk
patients,
drug
pipeline
is
suffering
fatigue
shortage
funding.
In
this
article,
we
review
antiviral
activity,
mechanism
action,
pharmacokinetics,
safety
therapies.
Additionally,
summarize
evidence
from
randomized
controlled
trials
on
various
antivirals
discuss
unmet
needs
which
should
be
addressed.
Trauma Surgery & Acute Care Open,
Journal Year:
2025,
Volume and Issue:
10(1), P. e001733 - e001733
Published: March 1, 2025
Despite
its
many
definitions
and
revisions,
consensus
statements
clinical
guidelines,
the
term
'sepsis'
continues
to
be
referred
as
a
discrete
entity
that
is
often
claimed
direct
cause
of
mortality.
The
assertion
sepsis
can
defined
'life-threatening
organ
dysfunction
caused
by
dysregulated
host
response
infection,'
has
led
field
dominated
failed
trials
informed
host-centered,
pathogen-agnostic,
animal
experiments
in
which
models
do
not
recapitulate
condition.
observations
from
National
Health
Service
England
claim
77.5%
deaths
occur
those
aged
75
years
or
older
USA
indicating
most
patients
dying
have
also
been
diagnosed
with
'hospice
qualifying
conditions,'
seem
refute
by,
rather
than
associated
with,
'dysregulated
response.'
This
piece
challenges
current
conceptual
framework
forms
basis
definition.
Here
we
posit
result
both
definition
use
inappropriate
models,
ineffective
treatments
continue
pursued
this
field.
Nature,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 26, 2025
Abstract
The
membrane
(M)
protein
of
betacoronaviruses
is
well
conserved
and
has
a
key
role
in
viral
assembly
1,2
.
Here
we
describe
the
identification
JNJ-9676,
small-molecule
inhibitor
targeting
coronavirus
M
protein.
JNJ-9676
demonstrates
vitro
nanomolar
antiviral
activity
against
SARS-CoV-2,
SARS-CoV
sarbecovirus
strains
from
bat
pangolin
zoonotic
origin.
Using
cryogenic
electron
microscopy
(cryo-EM),
determined
binding
pocket
formed
by
transmembrane
domains
dimer.
Compound
stabilized
dimer
an
altered
conformational
state
between
its
long
short
forms,
preventing
release
infectious
virus.
In
pre-exposure
Syrian
golden
hamster
model,
(25
mg
per
kg
twice
day)
showed
excellent
efficacy,
illustrated
significant
reduction
load
virus
lung
3.5
4
log
10
-transformed
RNA
copies
50%
tissue
culture
infective
dose
(TCID
50
)
lung,
respectively.
Histopathology
scores
at
this
were
reduced
to
baseline.
post-exposure
was
efficacious
75
day
even
when
added
48
h
after
infection,
peak
loads
observed.
attractive
target
block
replication,
represents
interesting
chemical
series
towards
identifying
clinical
candidates
addressing
current
future
pandemics.
Reviews in Medical Virology,
Journal Year:
2022,
Volume and Issue:
32(6)
Published: Oct. 12, 2022
The
therapeutic
potential
of
sotrovimab
in
the
treatment
coronavirus
disease
2019
(COVID-19)
is
a
controversial
issue.
aim
this
study
was
to
evaluate
efficacy
and
safety
COVID-19
patients.
To
end,
PubMed,
Cochrane
Library,
Embase,
Web
Science,
medRxiv,
Google
Scholar
were
searched
up
15
August
2022.
reference
lists
key
studies
also
scanned
find
additional
records.
Meta-analysis
performed
using
Comprehensive
Meta-Analysis.
Seventeen
involving
27,429
patients
included.
A
significant
difference
observed
mortality
rate
(odds
ratio
[OR]
=
0.40;
95%
CI:
0.25-0.63,
p
0.00),
hospitalisation
(OR
0.53;
0.43-0.65.
hospital
or
death
0.43;
0.25-0.73,
need
for
mechanical
ventilation
0.57;
0.33-0.96,
0.03),
ICU
admission
0.33;
0.17-0.67,
0.00)
sotrovimab-receiving
group
compared
those
having
no
sotrovimab.
However,
between
two
groups
terms
progression
0.45;
0.16-1.24,
0.12)
emergency
department
visit
1.01;
0.83-1.24,
0.87).
had
incidence
adverse
events
0.98;
0.78-1.23,
0.88).
findings
present
meta-analysis
support
that
could
be
an
effective
safe
option
reduce
both
Delta
Omicron
Variants
COVID-19.
International Journal of Infectious Diseases,
Journal Year:
2023,
Volume and Issue:
137, P. 55 - 59
Published: Sept. 30, 2023
After
the
third
year
of
COVID-19
pandemic,
most
severe
burden
falls
upon
immunocompromised
patients
who
cannot
mount
an
endogenous
immune
response
after
both
vaccination
and/or
natural
infection.
They
also
experience
persistent
SARS-CoV-2
infection
with
high
viral
loads
often
unsuccessfully
managed
by
standard
antiviral
monotherapy
regimen
initially
validated
for
treatment
immunocompetent
patients,
only.
The
off-label
prescription
such
regimens
in
is
likely
to
drive
emergence
treatment-related
escape,
relapses,
excess
morbidity,
and
mortality
from
delayed
underlying
disorders.
A
possible
approach
mitigate
consequence
based
on
combined
therapies.
Biomedicine & Pharmacotherapy,
Journal Year:
2024,
Volume and Issue:
173, P. 116394 - 116394
Published: March 11, 2024
Recently,
anthelmintics
have
showcased
versatile
therapeutic
potential
in
addressing
various
diseases,
positioning
them
as
promising
candidates
for
drug
repurposing.
However,
challenges
such
low
bioavailability
and
a
lack
of
solid
pharmacokinetic
basis
impede
successful
To
overcome
these
flaws,
we
aimed
to
investigate
the
key
factors
mainly
focusing
on
absorption,
distribution,
metabolism
profiles
by
employing
niclosamide
(NIC)
model
drug.
The
intestinal
permeability
NIC
is
significantly
influenced
solubility
doesn't
function
substrate
efflux
transporters.
It
showed
high
plasma
protein
binding.
Also,
study
indicated
that
would
metabolic
stability
extensively
undergoing
glucuronidation.
Additionally,
investigated
CYP-mediated
drug-drug
interaction
both
direct
time-dependent
ways.
strong
inhibitory
effects
CYP1A2
CYP2C8
not
likely
become
inhibitor.
Our
findings
could
contribute
identification
essential
pharmacokinetics
anthelmintics,
potentially
facilitating
their
repositioning.