Heliyon,
Год журнала:
2023,
Номер
10(1), С. e23579 - e23579
Опубликована: Дек. 10, 2023
Systemic
inflammation
is
a
hallmark
of
Coronavirus
Disease
2019
(COVID-19)
and
the
key
to
pathophysiology
its
severe
cases
with
host
cytokine
involvement.
Glucocorticoids
can
moderate
this
inflammatory
effect
due
receptor
binding
(NRC31-the
gene
encoded),
influencing
expression
effector
genes
pro-inflammatory
cytokines.
Another
important
pathway
in
processes
immune
responses
nuclear
factor-κB
(NF-κB)
signaling
(NFKBIA-the
encoded).
We
aimed
explore
glucocorticoid
mild
COVID-19.
performed
cross-sectional,
observational
study
on
COVID-19
cases,
assessing
RNA
white
blood
cells.
The
Illumina®
platform
was
used
for
sequencing,
FASTQ
data
were
quality-checked
Multiqc.
raw
analyzed
using
CLC
Genomics
Workbench®.
Our
included
23
patients
21
an
average
age
49.9
±
18.2
years
old.
NR3C1
NFKBIA
expressions
did
not
show
significantly
significant
difference
between
groups
(log2
fold
change
0.5,
p
=
0.1;
0.82,
0.09).
However,
TSC22D3,
DUSP-1,
JAK-1
MAPK-1
higher
1.3,
<
0.001;
2.6,
0.9,
1.48,
p-value<0.001;
respectively).
Furthermore,
TNF,
IL-1β,
IL-6
lower
4.05,
3.33,
6.86,
In
conclusion,
our
results
showed
that
although
NRC31
statistically
groups,
TSC22D3
cases.
These
highlight
importance
genes,
specifically
combatting
systemic
inflammation.
recent
findings
have
potential
lead
identification
novel
pharmacological
targets
could
prove
be
vital
fight
against
diseases
associated
Children,
Год журнала:
2024,
Номер
11(1), С. 105 - 105
Опубликована: Янв. 15, 2024
Background
and
aim:
Persisting
gastrointestinal
symptoms
are
reported
to
be
relatively
common
in
children
with
long
COVID;
however,
their
detailed
characterization
long-term
outcomes
have
not
yet
been
described.
Methods:
We
performed
a
retrospective
study
aiming
investigate
the
temporal
evolution
of
SARS-CoV-2,
from
acute
infection
18-months
follow-up.
To
further
possible
therapeutic
strategies,
we
evaluated
role
lactoferrin
improving
these
children,
compared
those
treated.
Results:
A
total
1224
patients
(47.7%
females)
were
included.
Of
participants,
246
(19.8%)
vaccinated
143
(11.5%)
presented
comorbidities.
175
(14.1%)
during
infection,
54
(4.4%)
at
three
months,
23
(1.9%)
six
6
(3.3%)
twelve
2
(2.3%)
eighteen
months
At
follow-up,
who
treated
3
oral
had
less
persisting
did
receive
lactoferrin,
although
this
difference
was
statistically
significant
(three
(25%)
group
vs.
fourteen
(33.3%)
treated,
p
=
0.73),
probably
due
low
number
GI
symptoms.
Conclusions:
SARS-CoV-2
non-negligible
proportion
for
up
12–18
after
infection.
In
addition,
found
trend
even
if
nonsignificant
toward
faster
improvement
COVID
lactoferrin.
Despite
limitations
relating
present
study’s
design,
given
burden
COVID,
our
findings
provide
basis
perform
prospective,
placebo-controlled
study.
PLoS neglected tropical diseases,
Год журнала:
2023,
Номер
17(2), С. e0011119 - e0011119
Опубликована: Фев. 21, 2023
Background
Trichinellosis,
caused
by
a
parasitic
nematode
of
the
genus
Trichinella
,
is
zoonosis
that
affects
people
worldwide.
After
ingesting
raw
meat
containing
spp.
larvae,
patients
show
signs
myalgia,
headaches,
and
facial
periorbital
edema,
severe
cases
may
die
from
myocarditis
heart
failure.
The
molecular
mechanisms
trichinellosis
are
unclear,
sensitivity
diagnostic
methods
used
for
this
disease
unsatisfactory.
Metabolomics
an
excellent
tool
studying
progression
biomarkers;
however,
it
has
never
been
applied
to
trichinellosis.
We
aimed
elucidate
impacts
infection
on
host
body
identify
potential
biomarkers
using
metabolomics.
Methodology/Principal
findings
Mice
were
infected
with
T
.
spiralis
sera
collected
before
2,
4,
8
weeks
after
infection.
Metabolites
in
extracted
identified
untargeted
mass
spectrometry.
Metabolomic
data
annotated
via
XCMS
online
platform
analyzed
Metaboanalyst
version
5.0.
A
total
10,221
metabolomic
features
identified,
levels
566,
330,
418
significantly
changed
at
2-,
4-,
8-weeks
post-infection,
respectively.
altered
metabolites
further
pathway
analysis
biomarker
selection.
major
affected
was
glycerophospholipid
metabolism,
glycerophospholipids
comprised
main
metabolite
class
identified.
Receiver
operating
characteristic
revealed
244
molecules
power
trichinellosis,
phosphatidylserines
(PS)
being
primary
lipid
class.
Some
molecules,
e.g.,
PS
(18:0/19:0)[U]
PA
(O-16:0/21:0),
not
present
metabolome
databases
humans
mice,
thus
they
have
secreted
parasites.
Conclusions/Significance
Our
study
highlighted
metabolism
as
hence
species
markers
represent
initial
steps
discovery
benefit
future
diagnosis.
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(7), С. 3841 - 3841
Опубликована: Март 29, 2024
Accumulating
evidence
has
revealed
unexpected
phenotypic
heterogeneity
and
diverse
functions
of
neutrophils
in
several
diseases.
Coronavirus
disease
(COVID-19)
can
alter
the
leukocyte
phenotype
based
on
severity,
including
neutrophil
activation
severe
cases.
However,
plasticity
phenotypes
their
relative
impact
COVID-19
pathogenesis
not
been
well
addressed.
This
study
aimed
to
identify
validate
evaluate
each
subpopulation.
We
analyzed
public
single-cell
RNA-seq,
bulk
proteome
data
from
healthy
donors
patients
with
investigate
subpopulations
response
pathogenesis.
identified
eight
subtypes:
pro-neutrophil,
pre-neutrophil,
immature
neutrophil,
five
mature
subpopulations.
The
subtypes
exhibited
distinct
features,
signatures
multiple
enriched
pathways.
pro-neutrophil
subtype
was
associated
fatal
disease,
while
pre-neutrophil
particularly
abundant
mild/moderate
disease.
One
showed
consistently
large
fractions
different
severity.
Bulk
RNA-seq
dataset
analyses
using
a
cellular
deconvolution
approach
validated
abundances
expansion
pro-neutrophils
patients.
Cell-cell
communication
analysis
representative
ligand-receptor
interactions
among
subtypes.
Further
investigation
into
transcription
factors
differential
protein
abundance
regulatory
network
differences
between
COVID-19.
Overall,
we
demonstrated
complex
heterogeneous
other
blood
cell
types
during
Our
work
great
value
terms
both
clinical
health
as
it
furthers
our
understanding
functional
populations
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(16), С. 8917 - 8917
Опубликована: Авг. 16, 2024
In
the
post-COVID-19
era,
treatment
options
for
potential
SARS-CoV-2
outbreaks
remain
limited.
An
increased
incidence
of
central
nervous
system
(CNS)
disorders
has
been
observed
in
long-term
COVID-19
patients.
Understanding
shared
molecular
mechanisms
between
these
conditions
may
provide
new
insights
developing
effective
therapies.
This
study
developed
an
integrative
drug-repurposing
framework
COVID-19,
leveraging
comorbidity
data
with
CNS
disorders,
network-based
modular
analysis,
and
dynamic
perturbation
analysis
to
identify
drug
targets
candidates
against
SARS-CoV-2.
We
constructed
a
network
based
on
literature
collection,
including
COVID-19-related
proteins
genes
associated
Alzheimer’s
disease,
Parkinson’s
multiple
sclerosis,
autism
spectrum
disorder.
Functional
module
detection
annotation
identified
primarily
involved
protein
synthesis
as
key
target
module,
utilizing
connectivity
map
data.
Through
construction
weighted
drug–target
ubiquitin–carboxy-terminal
hydrolase
L1
emerged
target.
Molecular
dynamics
simulations
suggested
pregnenolone
BRD-K87426499
two
COVID-19.
introduces
dynamic-perturbation-network-based
approach
by
incorporating
disorders.
The
SARS-CoV-2
virus
infection
in
humans
induces
significant
inflammatory
and
systemic
reactions
complications
of
which
corticosteroids
like
methylprednisolone
have
been
recommended
as
treatment.
Our
understanding
the
metabolic
metabolomic
pathway
dysregulations
while
using
intravenous
COVID-19
is
limited.
This
study
will
help
enlighten
underlying
high
daily
doses
patients
compared
to
those
receiving
placebo.
information
on
key
metabolites
pathways
identified
this
together
with
crosstalk
inflammation
biochemistry
components
may
be
used,
future,
leverage
use
any
future
pandemics
from
coronavirus
family.
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(16), С. 8633 - 8633
Опубликована: Авг. 8, 2024
While
COVID-19’s
urgency
has
diminished
since
its
emergence
in
late
2019,
it
remains
a
significant
public
health
challenge.
Recent
research
reveals
that
the
molecular
intricacies
of
this
virus
are
far
more
complex
than
initially
understood,
with
numerous
post-translational
modifications
leading
to
diverse
proteoforms
and
viral
particle
heterogeneity.
Mass
spectrometry-based
proteomics
patient
serum/plasma
emerges
as
promising
complementary
approach
traditional
diagnostic
methods,
offering
insights
into
SARS-CoV-2
protein
dynamics
enhancing
understanding
disease
long-term
consequences.
This
article
highlights
key
findings
from
three
years
pandemic-era
research.
It
delves
biomarker
discovery,
advancements,
drug
development
efforts
aimed
at
monitoring
COVID-19
onset
progression
exploring
treatment
options.
Additionally,
examines
global
abundance
modification
profiling
elucidate
signaling
pathway
alterations
protein-protein
interactions
during
infection.
Finally,
explores
potential
emerging
multi-omics
analytic
strategies
combatting
SARS-CoV-2.
Summary:
Corticosteroids
have
become
a
choice
for
managing
severe
COVID-19,
but
the
molecular
mechanisms
behind
response
after
corticosteroid
administration
remain
incompletely
understood.
This
study
assessed
temporal
metabolic
profiles
in
plasma
of
methylprednisolone
(MP)-treated
COVID-19
patients.Background:
patients.Methods:
Patient
was
obtained
from
double
blind,
randomized,
placebo-controlled
Phase
IIb
clinical
trial
performed
on
patients
Brazilian
Amazon.
Patients
received
placebo
or
0.5
mg/kg
MP
intravenously
twice
daily
five
days.
Plasma
samples
collected
before
treatment
and
longitudinally
over
14
days
were
then
analyzed
using
high-resolution
untargeted
metabolomics.
Network
analysis
also
included
blood
cell
counts,
inflammation
tissue
damage
markers,
cytokine
data.Findings:
reduced
number
metabolites
during
follow-up
associated
with
different
pathways
related
to
steroid
hormones
eicosanoids.
Direct
comparison
between
two
groups
revealed
differences
at
baseline,
which
peaked
initiation
treatment.
Metabolic
differing
time
galactose
metabolism,
glucose
gluconeogenesis,
N-glycan
prostaglandin
formation
arachidonate.
Deoxy-galactose,
H2,
sphingosine,
sphinganine
exhibited
differential
trajectories
Survival
MP-treated
modulation
tryptophan
metabolism.
that
is
highly
alterations
reflecting
eicosanoid
such
as
arachidonic
acid
prostaglandins.Interpretation:
Treatment
modulates
activity
inflammatory
lipids.Funding:
work
financially
supported
by
Fundação
de
Amparo
à
Pesquisa
do
Estado
Amazonas
(under
Resolutions
#
002/2008,
007/2018,
005/2019,
005/2020,
006/2020
005/2022),
Conselho
Nacional
Desenvolvimento
Científico
e
Tecnológico
(403253/2020-9)
Serrapilheira
Institute
(to
LGG,
grant
Serra
–
R-2011-37433).Declaration
Interest:
VIM,
RLAN
MGSB
report
they
are
recipients
doctorate
scholarships
Coordenação
Aperfeiçoamento
Pessoal
Nível
Superior
(CAPES).
MNY
reports
be
scholarship
recipient
CNPq.
We
disclose
BGV,
MGVL,
WMM,
AGC,
LGG
GCM
CNPq
productivity
fellows.
All
other
authors
declare
no
competing
interests.
Ethical
Approval:
The
Medicina
Tropical
Doutor
Heitor
Vieira
Dourado
Research
Ethics
Committee
approved
this
(CAAE
46193821.5.0000.0005),
sub-study
larger
(30615920.2.0000.0005).
Heliyon,
Год журнала:
2023,
Номер
10(1), С. e23579 - e23579
Опубликована: Дек. 10, 2023
Systemic
inflammation
is
a
hallmark
of
Coronavirus
Disease
2019
(COVID-19)
and
the
key
to
pathophysiology
its
severe
cases
with
host
cytokine
involvement.
Glucocorticoids
can
moderate
this
inflammatory
effect
due
receptor
binding
(NRC31-the
gene
encoded),
influencing
expression
effector
genes
pro-inflammatory
cytokines.
Another
important
pathway
in
processes
immune
responses
nuclear
factor-κB
(NF-κB)
signaling
(NFKBIA-the
encoded).
We
aimed
explore
glucocorticoid
mild
COVID-19.
performed
cross-sectional,
observational
study
on
COVID-19
cases,
assessing
RNA
white
blood
cells.
The
Illumina®
platform
was
used
for
sequencing,
FASTQ
data
were
quality-checked
Multiqc.
raw
analyzed
using
CLC
Genomics
Workbench®.
Our
included
23
patients
21
an
average
age
49.9
±
18.2
years
old.
NR3C1
NFKBIA
expressions
did
not
show
significantly
significant
difference
between
groups
(log2
fold
change
0.5,
p
=
0.1;
0.82,
0.09).
However,
TSC22D3,
DUSP-1,
JAK-1
MAPK-1
higher
1.3,
<
0.001;
2.6,
0.9,
1.48,
p-value<0.001;
respectively).
Furthermore,
TNF,
IL-1β,
IL-6
lower
4.05,
3.33,
6.86,
In
conclusion,
our
results
showed
that
although
NRC31
statistically
groups,
TSC22D3
cases.
These
highlight
importance
genes,
specifically
combatting
systemic
inflammation.
recent
findings
have
potential
lead
identification
novel
pharmacological
targets
could
prove
be
vital
fight
against
diseases
associated