Background:
Coronavirus
disease
19
(COVID-19)
is
regarded
as
an
independent
risk
factor
for
acute
ischemic
stroke
(AIS)
due
to
the
induction
of
endothelial
dysfunction,
coagulopathy,
cytokine
storm,
and
plaque
instability.
Method:
In
this
retrospective
cohort
study,
a
total
42
COVID-19
patients
with
type
2
diabetes
mellitus
(T2DM)
who
presented
AIS
within
1
week
displaying
symptoms
were
recruited.
According
current
anti-DM
pharmacotherapy,
divided
into
two
groups:
Metformin
group
T2DM
on
metformin
therapy
(850
mg,
3
times
daily
(
n
=
22),
Non-metformin
under
another
pharmacotherapy
like
glibenclamide
pioglitazone
20).
Anthropometric,
biochemical,
radiological
data
evaluated.
Results:
Ferritin
serum
level
was
lower
in
metformin-treated
compared
non-metformin
treated
(365.93
±
17.41
vs.
475.92
22.78
ng/mL,
p
0.0001).
CRP,
LDH,
D-dimer
levels
also
lowered
addition,
lung
CT
scan
scores
30.62
10.64
36.31
5.03
patients.
Conclusion:
linked
during
COVID-19.
Further
studies
are
needed
observe
link
between
diabetic
therapy.
Signal Transduction and Targeted Therapy,
Год журнала:
2021,
Номер
6(1)
Опубликована: Июль 7, 2021
Abstract
The
Coronavirus
Disease
2019
(COVID-19)
pandemic
has
become
a
global
crisis
and
is
more
devastating
than
any
other
previous
infectious
disease.
It
affected
significant
proportion
of
the
population
both
physically
mentally,
destroyed
businesses
societies.
Current
evidence
suggested
that
immunopathology
may
be
responsible
for
COVID-19
pathogenesis,
including
lymphopenia,
neutrophilia,
dysregulation
monocytes
macrophages,
reduced
or
delayed
type
I
interferon
(IFN-I)
response,
antibody-dependent
enhancement,
especially,
cytokine
storm
(CS).
CS
characterized
by
hyperproduction
an
array
pro-inflammatory
cytokines
closely
associated
with
poor
prognosis.
These
excessively
secreted
initiate
different
inflammatory
signaling
pathways
via
their
receptors
on
immune
tissue
cells,
resulting
in
complicated
medical
symptoms
fever,
capillary
leak
syndrome,
disseminated
intravascular
coagulation,
acute
respiratory
distress
multiorgan
failure,
ultimately
leading
to
death
most
severe
cases.
Therefore,
it
clinically
important
understand
initiation
develop
effective
treatment
strategies
COVID-19.
Herein,
we
discuss
latest
developments
immunopathological
characteristics
focus
current
research
status
involved.
We
also
induction,
function,
downstream
signaling,
existing
potential
interventions
targeting
these
related
signal
pathways.
believe
comprehensive
understanding
will
help
better
effectively
control
this
disease
diseases.
The
explosion
of
the
new
coronavirus
(SARS-CoV-2)
pandemic
has
brought
role
angiotensin
converting
enzyme
2
(ACE2)
back
into
scientific
limelight.
Since
SARS-CoV-2
must
bind
ACE2
for
entering
host
cells
in
humans,
its
expression
and
body
localization
are
critical
to
track
potential
target
organ
this
infection
outline
disease
progression
clinical
outcomes.
Here,
we
mapped
physiological
distribution,
expression,
activities
discussed
correlations
mutal
interactions
with
disparate
symptoms
present
patients
at
level
different
organs.
We
highlighted
that
despite
during
ACE2-expressing
organs
may
become
direct
targets,
leading
severe
pathological
manifestations,
subsequent
multiple
failures,
exact
mechanism
through
which
acts
these
is
still
heavily
debated.
Further
efforts,
also
considering
a
personalized
approach
aimed
consider
specific
patient
differences
mutual
ACE2-SARS-CoV-2
long-term
health
effects
associated
COVID-19
currently
mandatory.
Abstract
Background
COVID-19
can
course
with
respiratory
and
extrapulmonary
disease.
SARS-CoV-2
RNA
is
detected
in
samples
but
also
blood,
stool
urine.
Severe
characterized
by
a
dysregulated
host
response
to
this
virus.
We
studied
whether
viral
RNAemia
or
load
plasma
associated
severe
response.
Methods
A
total
of
250
patients
were
recruited
(50
outpatients,
100
hospitalized
ward
critically
ill).
Viral
detection
quantification
was
performed
using
droplet
digital
PCR,
targeting
the
N1
N2
regions
nucleoprotein
gene.
The
association
between
severity
evaluated
multivariate
logistic
regression.
Correlations
biomarkers
evidencing
dysregulation
calculating
Spearman
correlation
coefficients.
Results
frequency
higher
ill
(78%)
compared
(27%)
outpatients
(2%)
(
p
<
0.001).
Critical
had
loads
than
non-critically
patients,
non-survivors
showing
highest
values.
When
compared,
did
not
show
significant
associations
analysis.
In
contrast,
when
ICU
both
critical
illness
(OR
[CI
95%],
):
(3.92
[1.183–12.968],
0.025),
(N1)
(1.962
[1.244–3.096],
0.004);
(N2)
(2.229
[1.382–3.595],
correlated
levels
chemokines
(CXCL10,
CCL2),
indicative
systemic
inflammatory
(IL-6,
CRP,
ferritin),
activation
NK
cells
(IL-15),
endothelial
dysfunction
(VCAM-1,
angiopoietin-2,
ICAM-1),
coagulation
(D-Dimer
INR),
tissue
damage
(LDH,
GPT),
neutrophil
(neutrophils
counts,
myeloperoxidase,
GM-CSF)
immunodepression
(PD-L1,
IL-10,
lymphopenia
monocytopenia).
Conclusions
are
COVID-19.
correlates
key
signatures
responses,
suggesting
major
role
uncontrolled
replication
pathogenesis
PLoS Pathogens,
Год журнала:
2021,
Номер
17(5), С. e1009576 - e1009576
Опубликована: Май 20, 2021
The
efficient
spread
of
SARS-CoV-2
resulted
in
a
unique
pandemic
modern
history.
Despite
early
identification
ACE2
as
the
receptor
for
viral
spike
protein,
much
remains
to
be
understood
about
molecular
events
behind
dissemination.
We
evaluated
contribution
C-type
lectin
receptors
(CLRS)
antigen-presenting
cells,
widely
present
respiratory
mucosa
and
lung
tissue.
DC-SIGN,
L-SIGN,
Langerin
MGL
bind
diverse
glycans
using
multiple
interaction
areas.
Using
pseudovirus
cells
derived
from
monocytes
or
T-lymphocytes,
we
demonstrate
that
while
virus
capture
by
CLRs
examined
does
not
allow
direct
cell
infection,
DC/L-SIGN,
among
these
receptors,
promote
transfer
permissive
ACE2+
Vero
E6
cells.
A
glycomimetic
compound
designed
against
enable
inhibition
this
process.
These
data
have
been
then
confirmed
authentic
human
lines.
Thus,
described
mechanism
potentiating
spreading
infection.
Cell Systems,
Год журнала:
2021,
Номер
12(8), С. 780 - 794.e7
Опубликована: Июнь 14, 2021
COVID-19
is
highly
variable
in
its
clinical
presentation,
ranging
from
asymptomatic
infection
to
severe
organ
damage
and
death.
We
characterized
the
time-dependent
progression
of
disease
139
inpatients
by
measuring
86
accredited
diagnostic
parameters,
such
as
blood
cell
counts
enzyme
activities,
well
untargeted
plasma
proteomes
at
687
sampling
points.
report
an
initial
spike
a
systemic
inflammatory
response,
which
gradually
alleviated
followed
protein
signature
indicative
tissue
repair,
metabolic
reconstitution,
immunomodulation.
identify
prognostic
marker
signatures
for
devising
risk-adapted
treatment
strategies
use
machine
learning
classify
therapeutic
needs.
show
that
models
based
on
proteome
are
transferable
independent
cohort.
Our
study
presents
map
linking
routinely
used
parameters
their
dynamics
infectious
disease.