Journal of Personalized Medicine,
Journal Year:
2023,
Volume and Issue:
13(6), P. 971 - 971
Published: June 8, 2023
Post-COVID-19
syndrome
is
a
complex
of
different
symptoms,
which
results
in
multisystemic
impairment
after
the
suffering
from
COVID-19
infection.
The
aim
study
was
to
reveal
clinical,
laboratory,
and
gut
disorders
patients
with
post-COVID-19
(n
=
39)
before
taking
part
14-day
program
rehabilitation.
A
complete
blood
count,
coagulation
test,
chemistry,
biomarkers,
metabolites
serum
samples,
dysbiosis
were
revealed
on
day
admission
rehabilitation,
comparison
variables
healthy
volunteers
48)
or
reference
ranges.
On
discharge,
noted
an
improvement
respiratory
function,
general
well-being,
mood.
At
same
time,
levels
some
metabolic
(4-hydroxybenzoic,
succinic,
fumaric
acids)
inflammatory
(interleukin-6)
variables,
increased
admission,
did
not
reach
level
people
during
rehabilitation
program.
Taxonomy
disbalance
observed
patients’
feces,
namely,
high
total
bacterial
mass,
decrease
number
Lactobacillus
spp.,
increase
pro-inflammatory
microorganisms.
authors
suggest
that
should
be
personalized,
considering
patient’s
state
together
only
baseline
but
also
individual
taxonomy
microbiota.
Signal Transduction and Targeted Therapy,
Journal Year:
2023,
Volume and Issue:
8(1)
Published: Nov. 1, 2023
Abstract
There
have
been
hundreds
of
millions
cases
coronavirus
disease
2019
(COVID-19),
which
is
caused
by
severe
acute
respiratory
syndrome
2
(SARS-CoV-2).
With
the
growing
population
recovered
patients,
it
crucial
to
understand
long-term
consequences
and
management
strategies.
Although
COVID-19
was
initially
considered
an
illness,
recent
evidence
suggests
that
manifestations
including
but
not
limited
those
cardiovascular,
respiratory,
neuropsychiatric,
gastrointestinal,
reproductive,
musculoskeletal
systems
may
persist
long
after
phase.
These
persistent
manifestations,
also
referred
as
COVID,
could
impact
all
patients
with
across
full
spectrum
illness
severity.
Herein,
we
comprehensively
review
current
literature
on
highlighting
its
epidemiological
understanding,
vaccinations,
organ-specific
sequelae,
pathophysiological
mechanisms,
multidisciplinary
In
addition,
psychological
psychosomatic
factors
underscored.
Despite
these
findings
diagnostic
therapeutic
strategies
based
previous
experience
pilot
studies
remain
inadequate,
well-designed
clinical
trials
should
be
prioritized
validate
existing
hypotheses.
Thus,
propose
primary
challenges
concerning
biological
knowledge
gaps
efficient
remedies
well
discuss
corresponding
recommendations.
Signal Transduction and Targeted Therapy,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 5, 2024
Abstract
Inflammasomes
are
large
protein
complexes
that
play
a
major
role
in
sensing
inflammatory
signals
and
triggering
the
innate
immune
response.
Each
inflammasome
complex
has
three
components:
an
upstream
sensor
molecule
is
connected
to
downstream
effector
such
as
caspase-1
through
adapter
ASC.
Inflammasome
formation
typically
occurs
response
infectious
agents
or
cellular
damage.
The
active
then
triggers
activation,
followed
by
secretion
of
pro-inflammatory
cytokines
pyroptotic
cell
death.
Aberrant
activation
activity
contribute
development
diabetes,
cancer,
several
cardiovascular
neurodegenerative
disorders.
As
result,
recent
research
increasingly
focused
on
investigating
mechanisms
regulate
assembly
well
potential
targeting
inflammasomes
treat
various
diseases.
Multiple
clinical
trials
currently
underway
evaluate
therapeutic
distinct
inflammasome-targeting
therapies.
Therefore,
understanding
how
different
disease
pathology
may
have
significant
implications
for
developing
novel
strategies.
In
this
article,
we
provide
summary
biological
pathological
roles
health
disease.
We
also
highlight
key
evidence
suggests
could
be
strategy
new
disease-modifying
therapies
effective
conditions.
EBioMedicine,
Journal Year:
2023,
Volume and Issue:
98, P. 104851 - 104851
Published: Nov. 3, 2023
As
a
debilitating
condition
that
can
impact
whole
spectrum
of
people
and
involve
multi-organ
systems,
long
COVID
has
aroused
the
most
attention
than
ever.
However,
mechanisms
are
not
clearly
understood,
underlying
biomarkers
affect
long-term
consequences
COVID-19
paramount
to
be
identified.
International Journal of Molecular Sciences,
Journal Year:
2023,
Volume and Issue:
24(13), P. 10458 - 10458
Published: June 21, 2023
Long
COVID
(LC)
encompasses
a
constellation
of
long-term
symptoms
experienced
by
at
least
10%
people
after
the
initial
SARS-CoV-2
infection,
and
so
far
it
has
affected
about
65
million
people.
The
etiology
LC
remains
unclear;
however,
many
pathophysiological
pathways
may
be
involved,
including
viral
persistence;
chronic,
low-grade
inflammatory
response;
immune
dysregulation
defective
reactivation
latent
viruses;
autoimmunity;
persistent
endothelial
dysfunction
coagulopathy;
gut
dysbiosis;
hormonal
metabolic
dysregulation;
mitochondrial
dysfunction;
autonomic
nervous
system
dysfunction.
There
are
no
specific
tests
for
diagnosis
LC,
clinical
features
laboratory
findings
biomarkers
not
specifically
relate
to
LC.
Therefore,
is
paramount
importance
develop
validate
that
can
employed
prediction,
prognosis
its
therapeutic
response,
although
this
effort
hampered
challenges
pertaining
non-specific
nature
majority
manifestations
in
spectrum,
small
sample
sizes
relevant
studies
other
methodological
issues.
Promising
candidate
found
some
patients
markers
systemic
inflammation,
acute
phase
proteins,
cytokines
chemokines;
reflecting
persistence,
herpesviruses
endotheliopathy,
coagulation
fibrinolysis;
microbiota
alterations;
diverse
proteins
metabolites;
biomarkers;
cerebrospinal
fluid
biomarkers.
At
present,
there
only
two
reviews
summarizing
they
do
cover
entire
umbrella
current
biomarkers,
their
link
etiopathogenetic
mechanisms
or
diagnostic
work-up
comprehensive
manner.
Herein,
we
aim
appraise
synopsize
available
evidence
on
typical
classification
based
pathogenetic
main
symptomatology
frame
epidemiological
aspects
syndrome
furthermore
assess
limitations
as
well
potential
implications
interventions.
Microorganisms,
Journal Year:
2023,
Volume and Issue:
11(12), P. 2959 - 2959
Published: Dec. 11, 2023
The
presence
of
symptoms
after
an
acute
SARS-CoV-2
infection
(long-COVID)
has
become
a
worldwide
healthcare
emergency
but
remains
underestimated
and
undertreated
due
to
lack
recognition
the
condition
knowledge
underlying
mechanisms.
In
fact,
prevalence
post-COVID
ranges
from
50%
during
first
months
up
20%
two-years
after.
This
perspective
review
aimed
map
existing
literature
on
identify
gaps
in
guide
global
effort
toward
improved
understanding
long-COVID
suggest
future
research
directions.
There
is
plethora
symptomatology
that
can
be
COVID-19;
however,
today,
there
no
clear
classification
definition
this
condition,
termed
or
post-COVID-19
condition.
heterogeneity
led
groups/clusters
patients,
which
could
exhibit
different
risk
factors
Viral
persistence,
long-lasting
inflammation,
immune
dysregulation,
autoimmune
reactions,
reactivation
latent
infections,
endothelial
dysfunction
alteration
gut
microbiota
have
been
proposed
as
potential
mechanisms
explaining
complexity
long-COVID.
such
equation,
viral
biology
(e.g.,
re-infections,
variants),
host
genetics,
epigenetics)
external
vaccination)
should
also
considered.
These
various
will
discussed
current
directions
suggested.
Clinical and Experimental Medicine,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: Jan. 17, 2024
Abstract
Long
Covid-19
syndrome
(LCS)
manifests
with
a
wide
range
of
clinical
symptoms,
yet
the
factors
associated
LCS
remain
poorly
understood.
The
current
study
aimed
to
investigate
relationships
that
demographic
characteristics,
history,
laboratory
indicators,
and
frequency
HLA-I
alleles
have
likelihood
developing
LCS.
We
extracted
characteristics
histories
from
medical
records
88
cases
(LCS
+
group)
96
individuals
without
−
group).
Furthermore,
we
evaluated
serum
levels
interleukin
(IL)-6
tumor
necrosis
factor-α,
parameters,
frequencies
alleles.
Following
this
used
multiple
logistic
regression
association
these
variables
had
Subjects
in
group
were
more
likely
experienced
severe
symptoms
higher
body
mass
index
(BMI),
white
blood
cell,
lymphocyte
counts,
C-reactive
protein
(CRP),
IL-6
than
those
(for
all:
P
<
0.05).
Moreover,
HLA-A*11,
-B*14,
-B*38,
-B*50,
-C*07
After
adjusting
for
most
important
variables,
suffering
was
significantly
BMI,
CRP,
IL-6,
alleles,
as
well
positive
history
Our
showed
during
acute
phase
disease,
elevated
CRP
levels,
all
an
increased
Frontiers in Cellular and Infection Microbiology,
Journal Year:
2024,
Volume and Issue:
14
Published: Feb. 8, 2024
Objective
Human
identical
sequences
of
severe
acute
respiratory
syndrome
coronavirus-2
(SARS-CoV-2)
promoted
the
coronavirus
disease
2019
(COVID-19)
progression
by
upregulating
hyaluronic
acid
(HA)
via
NamiRNA-enhancer
network,
based
on
previous
experimental
research.
This
study
aimed
to
investigate
predictive
value
HA
for
severity
SARS-CoV-2
infection
in
post-COVID-19
era.
Methods
A
total
217
consecutive
patients
with
COVID-19
were
enrolled
at
Beijing
Ditan
Hospital
between
July
2023
and
October
2023.
levels
analyzed
using
biochemical
detector.
Logistic
regression
analysis
was
used
screen
independent
factors
COVID-19.
The
performance
assessed
ROC
curve.
Furthermore,
relationship
investigated
multivariate
logistic
models
after
adjustment
potential
confounders.
Results
According
cut-off
HA,
divided
into
<
90
ng/mL
group
(80
cases)
≥
(137
cases).
High
positively
associated
infection,
including
elevated
inflammatory
indicators,
lung
involvement,
prolonged
clinical
course,
higher
incidence
failure
death
(P
0.05).
suggested
that
an
predictor
(OR
=
4.540,
95%
CI
2.105-9.790,
P
0.001).
curve
showed
AUC
0.724.
significantly
cases
compared
healthy
population
(123.9
(82.6,
174.1)
vs.
50.5
(37.8,
66.8),
0.001),
but
similar
those
non-SARS-CoV-2
(121.6
(78.5,
175.6)
106.0
(66.5,
149.7),
0.244).
We
also
found
first
infections
had
(118.8
(79.5,
174.3)
85.0
(61.1,
128.8),
0.001)
a
proportion
(37.1%
21.3%,
0.043)
than
re-infections.
However,
expression
failed
fully
return
normal
recovery
(204.7
(152.9,
242.2)
97.0
(69.3,
137.3),
Conclusion
could
be
as
novel
serum
biomarker
predict
risk