Heliyon,
Journal Year:
2023,
Volume and Issue:
10(1), P. e23579 - e23579
Published: Dec. 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
Journal of Translational Medicine,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: April 10, 2025
Systems
biology
is
a
holistic
approach
to
biological
sciences
that
combines
experimental
and
computational
strategies,
aimed
at
integrating
information
from
different
scales
of
processes
unravel
pathophysiological
mechanisms
behaviours.
In
this
scenario,
high-throughput
technologies
have
been
playing
major
role
in
providing
huge
amounts
omics
data,
whose
integration
would
offer
unprecedented
possibilities
gaining
insights
on
diseases
identifying
potential
biomarkers.
the
present
review,
we
focus
strategies
applied
literature
integrate
genomics,
transcriptomics,
proteomics,
metabolomics
year
range
2018-2024.
Integration
approaches
were
divided
into
three
main
categories:
statistical-based
approaches,
multivariate
methods,
machine
learning/artificial
intelligence
techniques.
Among
them,
statistical
(mainly
based
correlation)
ones
with
slightly
higher
prevalence,
followed
by
learning
Integrating
multiple
layers
has
shown
great
uncovering
molecular
mechanisms,
putative
biomarkers,
aid
classification,
most
time
resulting
better
performances
when
compared
single
analyses.
However,
significant
challenges
remain.
The
nature
platforms
introduces
issues
such
as
variable
data
quality,
missing
values,
collinearity,
dimensionality.
These
further
increase
combining
datasets,
complexity
heterogeneity
integration.
We
report
found
cope
these
challenges,
but
some
open
still
remain
should
be
addressed
disclose
full
Frontiers in Molecular Biosciences,
Journal Year:
2023,
Volume and Issue:
10
Published: Feb. 15, 2023
COVID-19
currently
represents
one
of
the
major
health
challenges
worldwide.
Albeit
its
infectious
character,
with
onset
affectation
mainly
at
respiratory
track,
it
is
clear
that
pathophysiology
has
a
systemic
ultimately
affecting
many
organs.
This
feature
enables
possibility
investigating
SARS-CoV-2
infection
using
multi-omic
techniques,
including
metabolomic
studies
by
chromatography
coupled
to
mass
spectrometry
or
nuclear
magnetic
resonance
(NMR)
spectroscopy.
Here
we
review
extensive
literature
on
metabolomics
in
COVID-19,
unraveled
aspects
disease
including:
characteristic
metabotipic
signature
associated
discrimination
patients
according
severity,
effect
drugs
and
vaccination
treatments
characterization
natural
history
metabolic
evolution
disease,
from
full
recovery
long-term
long
sequelae
COVID.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Sept. 22, 2023
Abstract
COVID-19
is
characterised
by
systemic
immunological
perturbations
in
the
human
body,
which
can
lead
to
multi-organ
damage.
Many
of
these
processes
are
considered
be
mediated
blood.
Therefore,
better
understand
host
response
SARS-CoV-2
infection,
we
performed
systematic
analyses
circulating,
soluble
proteins
blood
through
global
proteomics
mass-spectrometry
(MS)
proteomics.
Here,
show
that
a
large
part
proteome
altered
COVID-19,
among
them
elevated
levels
interferon-induced
and
proteasomal
proteins.
Some
have
alternating
cells
after
infection
vitro
different
organs
patients
deregulated
blood,
suggesting
shared
infection-related
changes.The
availability
public
proteomic
resources
on
alterations
leaves
uncertainty
about
change
given
protein
during
COVID-19.
Hence,
review
meta-analysis
MS
studies
proteomes,
including
up
1706
individuals
(1039
patients),
provide
concluding
estimates
for
alteration
1517
Finally,
based
developed
CoViMAPP,
an
open-access
resource
effect
sizes
diagnostic
potential
publicly
available
research,
clinical,
academic
community.
Journal of Virology,
Journal Year:
2024,
Volume and Issue:
98(3)
Published: Feb. 29, 2024
ABSTRACT
Orthopneumoviruses
characteristically
form
membrane-less
cytoplasmic
inclusion
bodies
(IBs)
wherein
RNA
replication
and
transcription
occur.
Here,
we
report
a
strategy
whereby
the
orthopneumoviruses
sequester
various
components
of
translational
pre
i
nitiation
complex
machinery
into
viral
to
facilitate
translation
their
own
mRNAs—
PIC
-pocketing.
Electron
microscopy
respiratory
syncytial
virus
(RSV)-infected
cells
revealed
bi-phasic
organization
IBs,
specifically,
spherical
“droplets”
nested
within
larger
inclusion.
Using
correlative
light
electron
microscopy,
combined
with
fluorescence
in
situ
hybridization,
showed
that
observed
morphology
represents
functional
compartmentalization
body
these
domains
are
synonymous
previously
reported
body-associated
granules
(IBAGs).
Detailed
analysis
demonstrated
IBAGs
concentrate
nascent
mRNA,
M2-1
protein
as
well
eukaryotic
initiation
factors
(eIF),
eIF4F
eIF3,
40S
complexes
involved
initiation.
Interestingly,
although
ribopuromycylation-based
imaging
indicates
majority
mRNA
occurs
cytoplasm,
there
was
some
evidence
for
intra-IBAG
translation,
consistent
likely
presence
ribosomes
subset
imaged
by
microscopy.
Mass
spectrometry
sub-cellular
fractions
from
RSV-infected
identified
significant
modification
cellular
machinery;
however,
interestingly,
ribopuromycylation
assays
no
changes
global
levels
translation.
The
mechanistic
basis
this
pathway
subsequently
determined
involve
interacting
eIF4G,
its
transport
between
cytoplasm
separate
phases
body.
In
summary,
our
data
show
organelles
function
spatially
regulate
early
steps
highly
selective
biomolecular
condensate.
IMPORTANCE
Respiratory
viruses
(RSVs)
cows
humans
cause
morbidity
mortality
respective
populations.
These
replicate
infected
compartmentalizing
cell’s
distinct
microdomains
called
(IBs).
paper,
IBs
further
compartmentalized
smaller
structures
have
significantly
different
density,
Within
intra-IB
structures,
ribosomal
active
findings
highlight
RSV
may
additionally
compartmentalize
favor
cell.
contribute
understanding
how
hijack
cell
genomes
provide
new
targets
antiviral
therapeutics
vivo
.
Metabolomics,
Journal Year:
2025,
Volume and Issue:
21(2)
Published: April 5, 2025
Abstract
Introduction
Infection
with
severe
acute
respiratory
syndrome-coronavirus-2
(SARS-CoV-2)
leads
to
COVID19
disease
and
caused
a
worldwide
pandemic
in
2019.
Since
the
first
wave
of
infections,
there
has
been
significant
antigenic
shifts,
leading
emergence
new
variants.
Today,
infections
have
shifted
away
from
severe,
fatal
infection
seen
Objective
This
study
aimed
assess
how
plasma
metabolomes
patients
varied
different
strains
could
reflect
severity.
Methods
Patients
not
requiring
intensive
care
were
recruited
between
January
2021
May
2022
Queen
Elizabeth
Hospital
Birmingham;
33
alpha,
13
delta
14
omicron
These
compared
26
age
matched
contemporaneously
controls.
Plasma
samples
extracted
into
chloroform/methanol/water
(1:2.5/1
v/v)
assessed
by
flow
injection
electrospray
mass
spectrometry
(FIE-MS)
using
an
Exactive
Orbitrap
spectrometer.
Derived
data
R
based
MetaboAnalyst
platform.
Results
clearly
Metabolite
variation
be
related
SARS-CoV2
Variant
showed
levels
some
phospholipids,
ganglioside
GD1a
dihydroxyvitamin
D3
derivative.
Correlations
indicated
negative
correlations
selected
phospholipids
C-reactive
protein,
creatinine,
neutrophil
D-dimer.
Conclusion
The
show
changes,
particularly
which
severity
variant
infection.
International Journal of Molecular Sciences,
Journal Year:
2023,
Volume and Issue:
24(9), P. 7865 - 7865
Published: April 26, 2023
The
coronavirus
disease
2019
(COVID-19)
pandemic,
caused
by
severe
acute
respiratory
syndrome
2
(SARS-CoV-2),
has
become
a
global
health
concern.
Three
years
since
its
origin,
despite
the
approval
of
vaccines
and
specific
treatments
against
this
new
coronavirus,
there
are
still
high
rates
infection,
hospitalization,
mortality
in
some
countries.
COVID-19
is
characterised
inflammatory
state
coagulation
disturbances
that
may
be
linked
to
purinergic
signalling
molecules
such
as
adenosine
triphosphate
(ATP),
diphosphate
(ADP),
(ADO),
receptors
(P1
P2).
These
nucleotides/nucleosides
play
important
roles
cellular
processes,
immunomodulation,
blood
clot
formation,
vasodilation,
which
affected
during
SARS-CoV-2
infection.
Therefore,
drugs
targeting
pathway,
currently
used
for
other
pathologies,
being
evaluated
preclinical
clinical
trials
COVID-19.
In
review,
we
focus
on
potential
these
control
release,
degradation,
reuptake
extracellular
nucleotides
nucleosides
treat
Drugs
P1
could
have
therapeutic
efficacy
due
their
capacity
modulate
cytokine
storm
immune
response.
Those
acting
P2X7,
NLRP3
inflammasome
activation,
also
valuable
candidates
they
can
reduce
release
pro-inflammatory
cytokines.
However,
according
available
data,
most
promising
medications
treatment
those
platelets
behaviour
factors,
mainly
through
P2Y12
receptor.
International Journal of Molecular Sciences,
Journal Year:
2023,
Volume and Issue:
24(18), P. 14371 - 14371
Published: Sept. 21, 2023
The
global
COVID-19
pandemic
resulted
in
widespread
harms
but
also
rapid
advances
vaccine
development,
diagnostic
testing,
and
treatment.
As
the
disease
moves
to
endemic
status,
need
identify
characteristic
biomarkers
of
for
diagnostics
or
therapeutics
has
lessened,
lessons
can
still
be
learned
inform
biomarker
research
dealing
with
future
pathogens.
In
this
work,
we
test
five
sets
research-derived
against
an
independent
targeted
quantitative
Liquid
Chromatography–Mass
Spectrometry
metabolomics
dataset
evaluate
how
robustly
these
proposed
panels
would
distinguish
between
COVID-19-positive
negative
patients
a
hospital
setting.
We
further
crowdsourced
panel
comprising
most
commonly
mentioned
literature
2020
2023.
best-performing
dataset—measured
by
F1
score
(0.76)
AUROC
(0.77)—included
nine
biomarkers:
lactic
acid,
glutamate,
aspartate,
phenylalanine,
β-alanine,
ornithine,
arachidonic
choline,
hypoxanthine.
Panels
fewer
metabolites
performed
less
well,
showing
weaker
statistical
significance
cohort
than
originally
reported
their
respective
discovery
studies.
Whilst
studies
reviewed
here
were
small
may
subject
confounders,
it
is
desirable
that
resilient
across
cohorts
if
they
are
find
use
clinic,
highlighting
importance
assessing
robustness
reproducibility
analyses
populations.
Children,
Journal Year:
2024,
Volume and Issue:
11(1), P. 105 - 105
Published: Jan. 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.