Organic Process Research & Development,
Год журнала:
2024,
Номер
28(7), С. 2406 - 2419
Опубликована: Май 1, 2024
The
outbreak
and
rapid
spread
of
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
have
led
to
one
the
most
serious
public
health
crises
since
beginning
21st
century.
An
oral
anti-SARS-CoV-2
drug
ensitrelvir
was
developed
with
satisfactory
antiviral
effect
synthesized
via
different
strategies.
This
Review
summarizes
advantages
disadvantages
currently
reported
synthetic
strategies
for
along
three
related
key
building
blocks
derivatives
from
view
procedure,
yield,
impurities,
safety,
environment.
will
provide
a
novel
perspective
further
process
development
discovery.
Abstract
Background
Azvudine
has
been
approved
for
the
treatment
of
coronavirus
disease
2019
(COVID-19)
patients
in
China,
and
this
meta-analysis
aims
to
illustrate
safety
azvudine
its
effectiveness
reducing
mortality.
Methods
PubMed,
Embase,
Web
science,
Cochrane
Library
Epistemonikos
COVID-19
Living
Overview
Evidence
database
(L.OVE)
were
searched
aggregate
currently
published
studies.
risk
bias
tool
ROBINS-I
used
assess
randomized
controlled
study
cohort
respectively.
Odds
radios
(ORs)
with
95%
confidence
interval
(CIs)
combined
dichotomous
variables.
Publication
was
assessed
by
Egger’s
test
funnel
plots.
Results
A
total
184
articles
retrieved
from
included
databases
17
studies
into
final
analysis.
Pooled
analysis
showed
that
significantly
reduced
mortality
compared
controls
(OR:
0.41,
95%CI
0.31–0.54,
p
<
0.001).
Besides,
either
mild
moderate
or
severe
could
benefit
administration.
There
no
significant
difference
incidence
ICU
admission
0.90,
0.47–1.72,
=
0.74)
invasive
ventilation
0.94,
0.54–1.62,
0.82)
between
control
group.
The
adverse
events
similar
1.26,
0.59–2.70,
0.56).
Conclusions
This
suggests
reduce
patients,
administration
is
acceptable.
Trial
registration
PROSPERO;
No.:
CRD42023462988;
URL:
https://www.crd.york.ac.uk/prospero/
.
Signal Transduction and Targeted Therapy,
Год журнала:
2025,
Номер
10(1)
Опубликована: Янв. 16, 2025
Azvudine
and
nirmatrelvir-ritonavir
(Paxlovid)
were
widely
used
to
treat
patients
with
COVID-19
in
China
during
the
Omicron
wave.
However,
efficacy
safety
of
azvudine
versus
Paxlovid
are
poorly
established.
This
study
included
40,876
hospitalized
from
eleven
hospitals
Henan
Xinjiang
Provinces,
China.
Clinical
outcomes
compared
between
two
drugs
via
Kaplan-Meier
analysis
Cox
regression
models.
Additionally,
vitro
vivo
experiments
evaluate
antitumor
effects
both
drugs.
Single-cell
RNA
sequencing
was
performed
elucidate
tumor
immune
landscape
after
treatment.
After
propensity
score
matching,
2404
1202
recipients
Province
included.
revealed
that
related
an
18%
lower
risk
all-cause
death
than
(95%
CI:
0.676-0.987),
not
obviously
different
composite
disease
progression.
The
robustness
findings
verified
by
cohort
three
sensitivity
analyses.
Fewer
adverse
events
observed
group.
Subgroup
provided
greater
benefits
for
malignant
tumors,
significantly
reducing
(hazard
ratio
[HR]:
0.33,
95%
0.20-0.54)
progression
(HR:
0.54,
0.33-0.88).
Furthermore,
can
suppress
growth
hepatocellular
carcinoma
(HCC)
regulating
CD4+
T
CD8+
cells
vivo.
These
suggest
therapy
is
inferior
has
fewer
effects.
Notably,
may
offer
clinical
benefit
HCC.
Acta Pharmaceutica Sinica B,
Год журнала:
2023,
Номер
13(11), С. 4655 - 4660
Опубликована: Июль 13, 2023
In
our
retrospective
cohort
study,
we
aim
to
explore
whether
Azvudine
modifies
the
risk
of
death
in
COVID-19
patients.
It
was
conducted
on
medical
records
patients,
consecutively
admitted
for
pneumonia
two
hospitals
Chongqing,
China.
Based
treatment
exposure,
patients
were
divided
into
group
and
non-Azvudine
group.
We
used
1:2
ratio
propensity
score
matching
(PSM)
study
adjust
confounding
factors
differences
between
groups.
There
1072
included
original
cohort.
With
PSM,
195
390
The
results
showed
that
associated
with
improved
in-hospital
mortality
overall
population
(OR
0.375,
95%
CI
0.225-0.623,
P
<
0.001),
severe
subgroup
0.239,
0.107-0.535,
=
critical
0.091,
0.011-0.769,
0.028)
matched
univariate
analysis.
And
there
a
significantly
lower
(11%
vs.
24%,
P<0.001),
sub-group
(10%
32%,
0.001)
(5%
34%,
0.017)
These
suggest
can
reduce
severe,
population.
Reviews in Medical Virology,
Год журнала:
2024,
Номер
34(4)
Опубликована: Июнь 7, 2024
Abstract
This
systematic
review
and
meta‐analysis
aimed
to
compare
the
effectiveness
safety
of
azvudine
versus
nirmatrelvir/ritonavir
(Paxlovid)
in
treating
coronavirus
disease
2019
(COVID‐19).
The
researchers
conducted
searches
on
PubMed,
Cochrane
Library,
Web
Science,
medRxiv,
Google
Scholar
until
January
2024.
risk
bias
tool
was
utilised
evaluate
quality
included
studies,
data
analysis
performed
using
Comprehensive
Meta‐Analysis
software.
Thirteen
including
4949
patients,
were
analysed.
results
showed
no
significant
difference
between
Paxlovid
groups
terms
mortality
rate
(odds
[OR]
=
0.84,
95%
confidence
interval
[CI]:
0.59–1.21),
negative
polymerase
chain
reaction
(PCR)
conversion
time
(standard
mean
[SMD]
1.52,
CI:
−1.07–4.11),
hospital
stay
(SMD
−0.39,
−1.12–0.33).
However,
a
observed
two
intensive
care
unit
admission
(OR
0.42,
0.23–0.75)
need
for
mechanical
ventilation
0.61,
0.44–0.86)
favour
azvudine.
incidence
adverse
events
group
significantly
lower
0.66,
0.43–0.99).
certainty
evidence
rated
as
low
moderate.
Azvudine
demonstrated
similar
reducing
rates,
PCR
stay.
better
improving
other
outcomes.
Regarding
level
evidence,
further
research
is
needed
validate
or
challenge
these
results.
Abstract
COVID‐19
can
lead
to
adverse
outcomes
in
patients
with
pre‐existing
diseases.
Azvudine
has
been
approved
for
treating
China,
but
the
real‐world
data
is
limited.
It
aimed
investigate
efficacy
of
and
cardiovascular
Patients
confirmed
diseases
are
retrospectively
enrolled.
The
primary
outcome
all‐cause
death
during
hospitalization.
Overall,
351
included,
a
median
age
74
years,
44%
female.
212
(60.6%)
severe
cases.
used
106
(30.2%)
not
245
(69.8%).
72
died
After
multivariate
adjustment,
who
received
lower
risk
(hazard
ratio:
0.431;
95%
confidence
interval:
0.252–0.738;
p
=
0.002)
than
controls.
therapy
also
associated
risks
shock
acute
kidney
injury.
For
sensitivity
analysis
propensity
score‐matched
cohort
(
n
90
each
group),
there
significant
difference
between
two
groups
0.189;
0.071–0.498;
<
0.001).
This
study
indicated
that
better
Abstract
Although
azvudine
has
become
a
priority
in
the
treatment
of
SARS‐CoV‐2,
its
effectiveness
and
safety
among
COVID‐19
patients
who
already
have
chronic
respiratory
diseases
(CRDs)
not
been
sufficiently
validated.
A
retrospective,
multicenter
cohort
study
involving
10
hospitals
Henan
Province
was
performed
to
assess
inpatients
with
CRDs
(Clinical
Trial
Registration
Number:
NCT06349655).
Azvudine
recipients
control
group
were
matched
at
1:1
ratio
using
propensity
scores.
The
clinical
outcomes
(all‐cause
death
composite
disease
progression)
analyzed
Kaplan‒Meier
Cox
regression
analyses,
additional
subgroup
sensitivity
analyses
performed.
Eighteen
features
included
construct
nomogram
for
predicting
survival
CRDs.
Out
37,606
hospitalized
patients,
1462
controls
analysis.
results
multivariate
demonstrated
that
contrast
controls,
use
associated
decreased
risk
all‐cause
pre‐existing
(log‐rank:
p
=
.012;
HR:
0.73;
95%
CI:
0.553‒0.956);
but
significantly
different
terms
progression
.82;
1.15;
0.948‒1.383).
An
analysis
subgroups
three
appraisals
validate
above
outcomes.
number
type
adverse
events
acceptable.
concordance
index
(0.8499,
0.8497)
area
under
curve
(86.1%,
80.4%)
showed
satisfactory
discriminative
ability
training
test
sets.
could
be
effective
reducing
had
few
serious
events.
BMC Infectious Diseases,
Год журнала:
2025,
Номер
25(1)
Опубликована: Март 10, 2025
The
global
pandemic
of
novel
coronavirus
pneumonia
(COVID-19)
has
resulted
in
millions
deaths
over
the
past
three
years.
As
one
most
commonly
affected
extra-pulmonary
organs,
numerous
studies
have
reported
varying
degrees
liver
injury
a
significant
proportion
patients
with
COVID-19,
particularly
severe
and
critically
ill
patients.
Early
prediction
dysfunction
hospitalized
would
facilitate
clinical
management
COVID-19
improve
prognosis,
but
reliable
valid
predictive
models
are
still
lacking.
Methods
We
collected
data
from
286
RT-PCR
confirmed
admitted
to
various
ICUs
case
system.
These
were
randomly
divided
into
training
cohort
(50%)
validation
(50%).
In
cohort,
we
first
used
ROC
curves
measure
efficiency
each
variables
for
development
damage
during
hospitalization
followed
by
LASSO
regression
analysis
screen
logistic
identify
relevant
risk
factors.
A
nomogram
based
on
these
was
created
following
above
model.
Finally,
cohorts
assessed
using
AUC,
consistency
index
(C
index),
calibration
Decision
Curve
Analysis.
Results
Out
total
80
parameters
ICUs,
10
determined
be
significantly
associated
occurrence
hospitalization.
Based
predictors,
further
construct
develop
that
offered
practical
application.
C-index
column
line
graphs
0.956
0.844
respectively.
addition,
model
showed
high
degree
agreement
between
predicted
actual
incidence
COVID-19.
Conclusion
By
developing
nomogram,
ICU.
model's
performance
both
cohorts,
contributing
Frontiers in Pharmacology,
Год журнала:
2025,
Номер
16
Опубликована: Апрель 25, 2025
The
global
impact
of
COVID-19
has
highlighted
the
urgent
need
for
effective
therapeutic
interventions
against
SARS-CoV-2.
Azvudine,
a
dual-target
nucleoside
drug
initially
developed
human
immunodeficiency
virus
(HIV),
gained
attention
its
potential
in
treating
COVID-19.
On
25
July
2022,
Azvudine
received
conditional
approval
from
National
Medical
Products
Administration
(NMPA)
China,
making
it
first
oral
SARS-CoV-2
RNA-dependent
RNA
polymerase
(RdRp)
inhibitor
treatment.
This
review
explores
pharmacological
activity,
antiviral
mechanisms,
and
clinical
effectiveness
azvudine
context
Clinical
trials
have
demonstrated
ability
to
reduce
viral
load,
shorten
time
nucleic
acid
negativity,
improve
outcomes
patients.
Additionally,
shown
excellent
pharmacokinetic
properties
favorable
safety
profile
with
mild
side
effects.
also
addresses
importance
interactions
considerations,
particularly
high-risk
populations.
Research
should
focus
on
optimizing
second-generation
inhibitors
enhanced
variants,
improving
bioavailability,
minimizing
adverse
effects,
ensuring
more
robust
treatment
options