Lipoxin A4 levels correlate with severity in a Spanish COVID-19 cohort: potential use of endogenous pro-resolving mediators as biomarkers
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 23, 2025
Background
SARS-CoV-2,
the
causative
virus
of
COVID-19
global
pandemic,
leads
to
a
wide
variety
responses
among
patients.
Some
them
present
very
severe
phenotype,
while
others
only
experience
mild
symptoms
or
are
even
asymptomatic.
This
differential
prognosis
is
tightly
related
inflammatory
status
patient.
Although
WHO
declared
end
emergency,
pandemic
caused
great
socio-sanitary
impact
in
all
countries.
Thus,
possible
outbreak
new
biological
diseases
future
makes
it
necessary
deepen
knowledge
this
uncontrolled
immune
response
and
look
for
reliable
biomarkers
help
us
predict
its
potential
health
impact.
Specialized
pro-resolving
lipid
mediators
(SPMs)
as
lipoxins
endogenous
synthesized
from
arachidonic
acid
resolution
stage
any
process.
These
lipids
have
actions
several
pathological
models,
including
reducing
NF-κB-mediated
inflammation,
inducing
antioxidant
through
Nrf-2
pathway.
although
relationship
has
already
been
suggested
between
low
levels
SPMs
severity,
their
true
role
predictive
biomarker
still
unknown.
Methods
results
In
study,
we
analyzed
by
ELISA
serum
lipoxin
A
4
(LXA
)
representative
Spanish
cohort.
We
found
reduced
deceased
patients
when
compared
patients,
concomitant
with
decrease
LXA
biosynthetic
pathway
an
increase
degradation
Furthermore,
studied
correlation
SPM
pathology
indicators,
finding
significant
increased
better
Conclusion
propose
measure
systemic
promising
survival
affected
SARS-CoV-2
presumably
other
viruses
that
can
affect
humanity
future.
Language: Английский
Severe COVID-19 in Non-Smokers: Predictive Factors and Outcomes
Marko Djuric,
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Irina Nenadić,
No information about this author
Nina Radisavljevic
No information about this author
et al.
Healthcare,
Journal Year:
2025,
Volume and Issue:
13(9), P. 1041 - 1041
Published: May 1, 2025
Background:
The
COVID-19
pandemic
revealed
an
unexpected
pattern
known
as
the
"smoker's
paradox",
with
lower
rates
of
severe
disease
among
smokers
compared
to
non-smokers,
highlighting
need
for
specific
investigation
progression
in
non-smoking
populations.
Objective:
To
identify
early
mortality
predictors
patients
through
evaluation
clinical,
laboratory,
and
oxygenation
parameters.
Methods:
This
retrospective
observational
cohort
study
included
59
non-smokers
hospitalized
between
November
December
2020.
Clinical
parameters,
laboratory
findings,
respiratory
support
requirements
were
analyzed
on
Days
1
7
hospitalization.
ROC
curves
constructed
assess
predictive
value
Results:
overall
rate
was
54.2%.
seventh-day
SOFA
score
showed
strongest
(AUC
=
0.902,
p
0.004),
followed
by
pCO2
0.853,
0.012).
Significant
differences
survivors
non-survivors
observed
acid-base
indices,
hematological
markers.
Mortality
varied
significantly
ventilation
type:
84.6%
IMV
50%
NIMV,
no
deaths
HFNC
patients.
Conclusions:
Multiple
parameters
measured
Day
hospitalization
demonstrate
significant
patients,
being
predictor.
type
influences
outcomes,
suggesting
importance
careful
strategy
selection.
Language: Английский