Infusion & Chemotherapy,
Journal Year:
2023,
Volume and Issue:
4, P. 17 - 26
Published: Dec. 21, 2023
BACKGROUND.
The
pandemic
of
the
coronavirus
disease
(COVID-19)
associated
with
SARS-CoV-2
virus
has
left
many
complications,
including
pulmonary
system.
One
them
is
syndrome
disappearing
lungs.
It
occurred
both
in
acute
period
and
post-COVID
(after
3-4
months)
after
inpatient
treatment.
Remote
variants
lung
as
a
complication
COVID-19
pneumonia
have
not
been
studied
to
date.
OBJECTIVE.
To
study
distant
course
one
complications
nosocomial
viral
etiology
demonstrate
it
on
clinical
observations.
MATERIALS
AND
METHODS.
dynamics
computed
tomography
(CT)
data
patients
complicated
(COVID-19),
who
were
treated
at
SI
“National
Institute
Phthisiology
Pulmonology
named
F.G.
Yanovsky
NAMS
Ukraine”.
RESULTS.
are
development
bullous
or
diffuse
emphysema
lungs,
giant
thin-walled
cyst-like
cavities,
recurrent
pneumothorax
pneumomediastinum.
These
very
diverse,
their
results
can
be
different
even
identical
radiological
manifestations.
CONCLUSIONS.
most
unfavorable
variant
pneumomediastinum,
which
requires
observation
for
more
than
1.5-2
years
control
CT
scans
chest.
Nature Medicine,
Journal Year:
2024,
Volume and Issue:
30(8), P. 2148 - 2164
Published: Aug. 1, 2024
Long
COVID
represents
the
constellation
of
post-acute
and
long-term
health
effects
caused
by
SARS-CoV-2
infection;
it
is
a
complex,
multisystem
disorder
that
can
affect
nearly
every
organ
system
be
severely
disabling.
The
cumulative
global
incidence
long
around
400
million
individuals,
which
estimated
to
have
an
annual
economic
impact
approximately
$1
trillion-equivalent
about
1%
economy.
Several
mechanistic
pathways
are
implicated
in
COVID,
including
viral
persistence,
immune
dysregulation,
mitochondrial
dysfunction,
complement
endothelial
inflammation
microbiome
dysbiosis.
devastating
impacts
on
individual
lives
and,
due
its
complexity
prevalence,
also
has
major
ramifications
for
systems
economies,
even
threatening
progress
toward
achieving
Sustainable
Development
Goals.
Addressing
challenge
requires
ambitious
coordinated-but
so
far
absent-global
research
policy
response
strategy.
In
this
interdisciplinary
review,
we
provide
synthesis
state
scientific
evidence
assess
human
health,
systems,
economy
metrics,
forward-looking
roadmap.
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.
Journal of Proteome Research,
Journal Year:
2024,
Volume and Issue:
23(8), P. 3025 - 3040
Published: April 3, 2024
Despite
the
recent
and
increasing
knowledge
surrounding
COVID-19
infection,
underlying
mechanisms
of
persistence
symptoms
for
a
long
time
after
acute
infection
are
still
not
completely
understood.
Here,
multiplatform
mass
spectrometry-based
approach
was
used
metabolomic
lipidomic
profiling
human
plasma
samples
from
Long
COVID
patients
(n
=
40)
to
reveal
mitochondrial
dysfunction
when
compared
with
individuals
fully
recovered
mild
40).
Untargeted
analysis
using
CE-ESI(+/−)-TOF-MS
GC-Q-MS
performed.
Additionally,
LC-ESI(+/−)-QTOF-MS
based
on
an
in-house
library
revealed
447
lipid
species
identified
high
confidence
annotation
level.
The
integration
complementary
analytical
platforms
has
allowed
comprehensive
metabolic
characterization
alterations
in
disease
that
found
46
relevant
metabolites
which
discriminate
between
patients.
We
report
specific
altered
COVID,
mainly
related
decrease
amino
acid
metabolism
ceramide
levels
increase
tricarboxylic
(TCA)
cycle,
reinforcing
evidence
impaired
function.
most
shown
this
study
will
help
better
understand
insights
syndrome
by
providing
deeper
basis
pathology.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Feb. 1, 2024
The
synergistic
relationships
between
Cancer,
Aging,
and
Infection,
here
referred
to
as
the
CAIn
Triangle,
are
significant
determinants
in
numerous
health
maladies
mortality
rates.
CAIn-related
pathologies
exhibit
close
correlations
with
each
other
share
two
common
underlying
factors:
persistent
inflammation
anomalous
lipid
concentration
profiles
membranes
of
affected
cells.
This
study
provides
a
comprehensive
evaluation
most
pertinent
interconnections
within
addition
examining
relationship
chronic
specific
lipidic
compositions
cellular
membranes.
To
tackle
CAIn-associated
diseases,
suite
complementary
strategies
aimed
at
diagnosis,
prevention,
treatment
is
proffered.
Our
holistic
approach
expected
augment
understanding
fundamental
mechanisms
these
diseases
highlight
potential
shared
features
facilitate
development
novel
theranostic
strategies.
Journal of Infection and Public Health,
Journal Year:
2024,
Volume and Issue:
17(4), P. 588 - 600
Published: Feb. 2, 2024
The
ongoing
issues
with
post-COVID
conditions
(PCC),
where
symptoms
persist
long
after
the
initial
infection,
highlight
need
for
research
into
blood
lipid
changes
in
these
patients.
While
most
studies
focus
on
acute
phase
of
COVID-19,
there's
a
significant
lack
information
lipidomic
that
occur
later
stages
disease.
Addressing
this
knowledge
gap
is
critical
understanding
long-term
effects
COVID-19
and
could
be
key
to
developing
personalized
treatments
those
suffering
from
PCC.
We
employed
untargeted
lipidomics
analyze
plasma
samples
147
PCC
patients,
assessing
nearly
400
polar
lipids.
Data
mining
(DM)
machine
learning
(ML)
tools
were
utilized
decode
results
ascertain
patterns.
study
uncovered
substantial
various
subclasses,
presenting
detailed
profile
fraction
These
alterations
correlated
inflammation
immune
response.
Notably,
there
elevated
levels
lysophosphatidylglycerols
(LPGs)
phosphatidylethanolamines
(PEs),
reduced
lysophosphatidylcholines
(LPCs),
suggesting
as
potential
biomarkers
signatures
indicated
specific
anionic
changes,
implicating
antimicrobial
peptides
(AMPs)
inflammation.
Associations
between
particular
medications
also
suggested.
Classification
models,
such
multinomial
regression
(MR)
random
forest
(RF),
successfully
differentiated
symptomatic
asymptomatic
groups
using
profiles.
study's
groundbreaking
discovery
disruptions
patients
marks
stride
quest
comprehend
combat
condition.
identified
not
only
pave
way
novel
diagnostic
but
hold
promise
tailor
individualized
therapeutic
strategies,
potentially
revolutionizing
clinical
approach
managing
improving
patient
care.
Frontiers in Molecular Biosciences,
Journal Year:
2024,
Volume and Issue:
11
Published: Sept. 9, 2024
The
COVID-19
pandemic,
caused
by
SARS-CoV-2,
has
led
to
significant
challenges
worldwide,
including
diverse
clinical
outcomes
and
prolonged
post-recovery
symptoms
known
as
Long
COVID
or
Post-COVID-19
syndrome.
Emerging
evidence
suggests
a
crucial
role
of
metabolic
reprogramming
in
the
infection's
long-term
consequences.
This
study
employs
novel
approach
utilizing
machine
learning
(ML)
explainable
artificial
intelligence
(XAI)
analyze
alterations
patients.
Samples
were
taken
from
cohort
142
COVID-19,
48
Post-COVID-19,
38
control
patients,
comprising
111
identified
metabolites.
Traditional
analysis
methods,
like
PCA
PLS-DA,
compared
with
ML
techniques,
particularly
eXtreme
Gradient
Boosting
(XGBoost)
enhanced
SHAP
(SHapley
Additive
exPlanations)
values
for
explainability.
XGBoost,
combined
SHAP,
outperformed
traditional
demonstrating
superior
predictive
performance
providing
new
insights
into
basis
disease's
progression
aftermath.
revealed
metabolomic
subgroups
within
conditions,
suggesting
heterogeneous
responses
infection
its
impacts.
Key
signatures
include
taurine,
glutamine,
alpha-Ketoglutaric
acid,
LysoPC
C16:0.
highlights
potential
integrating
XAI
fine-grained
description
metabolomics
research,
offering
more
detailed
understanding
anomalies
conditions.
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(10), P. 4806 - 4806
Published: May 17, 2025
Long
COVID
denotes
the
persistence
of
symptoms
after
acute
SARS-CoV-2
infection
lasting
for
at
least
two
months
without
another
identifiable
cause.
Affecting
an
estimated
15%
COVID-19
patients,
long
manifests
in
a
wide
range
symptoms.
Despite
extensive
research
on
its
one-year
effects,
limited
data
exist
beyond
12
months.
Due
to
different
manifestations
COVID,
diagnosis
can
be
challenging.
Identifying
potential
mechanistic
contributors
and
biomarkers
would
highly
valuable.
Recent
studies
have
highlighted
noncoding
RNAs
(ncRNAs)
as
disease
stratification
COVID-19.
Specifically,
we
recently
identified
miR-144-3p
subset
lncRNAs
candidates
assessing
severity
outcomes
This
nested
case–control
study
extends
such
investigations
98
patients
recruited
18
hospitalization,
exploring
relationship
between
circulating
ncRNA
expression
persistent
While
miR-144-3p,
HCG18,
lncCEACAM21
did
not
differ
symptomatic
asymptomatic
LEF1-AS1
was
downregulated
peripheral
blood
mononuclear
cells
(PBMCs)
patients.
Of
note,
multiple
isoforms
LEF1
sense
transcript
levels
were
reduced
negatively
correlated
with
relevant
clinical
markers.
further
are
needed,
our
discoveries
offer
new
perspectives
management
COVID.
Nutrients,
Journal Year:
2024,
Volume and Issue:
16(22), P. 3840 - 3840
Published: Nov. 8, 2024
The
gut-lung
axis
could
be
a
potential
therapeutic
target
for
improving
post-acute
COVID-19
symptoms,
and
probiotics
have
been
proposed
as
possible
modulators.
Frontiers in Microbiology,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 27, 2024
Long
COVID
is
an
often-debilitating
condition
with
severe,
multisystem
symptoms
that
can
persist
for
weeks
or
months
and
increase
the
risk
of
various
diseases.
Currently,
there
a
lack
diagnostic
tools
in
clinical
practice.
Therefore,
this
study
utilizes
plasma
proteomics
metabolomics
technologies
to
understand
molecular
profile
pathophysiological
mechanisms
COVID,
providing
evidence
development
potential
biomarkers.
This
included
three
age-
gender-matched
cohorts:
healthy
controls
(
n
=
18),
COVID-19
recovered
patients
17),
15).
The
results
revealed
significant
differences
proteins
between
patients,
dysregulation
mainly
focused
on
pathways
such
as
coagulation,
platelets,
complement
cascade
reactions,
GPCR
cell
signal
transduction,
substance
transport,
which
participate
regulating
immune
responses,
inflammation,
tissue
vascular
repair.
Metabolomics
showed
have
similar
metabolic
disorders,
involving
lipid
metabolites
fatty
acid
metabolism,
glycerophospholipids,
sphingolipid
arachidonic
metabolism
processes.
In
summary,
our
indicate
protein
abnormalities
leading
coagulation
dysfunction,
impaired
energy
chronic
dysregulation,
are
more
pronounced
than
patients.