Differential responses of lung and intestinal microbiota to SARS-CoV-2 infection: a comparative study of the Wuhan and Omicron strains in K18-hACE2 Tg mice
Laboratory Animal Research,
Journal Year:
2025,
Volume and Issue:
41(1)
Published: April 23, 2025
Abstract
Background
The
COVID-19
pandemic,
caused
by
SARS-CoV-2,
has
led
to
the
emergence
of
viral
variants
with
distinct
characteristics.
Understanding
differential
impacts
SARS-CoV-2
is
crucial
for
effective
public
health
response
and
treatment
development.
We
investigated
effects
original
Wuhan
strain
emergent
Omicron
variant
using
a
K18-hACE2
transgenic
mouse
model.
compared
mortality
rates,
loads,
histopathological
changes
in
lung
tracheal
tissues,
as
well
alterations
intestinal
microbiota
following
infection.
Results
Our
findings
revealed
significant
differences
between
variants,
causing
higher
severe
pathology,
elevated
loads
variant.
Microbiome
analyses
uncovered
novel
shifts
associated
each
variant,
providing
evidence
variant-specific
microbiome
alterations.
These
suggest
microbiome-related
mechanisms
that
might
modulate
disease
severity
host
responses
Conclusions
This
study
highlights
critical
terms
mortality,
changes,
emphasizing
role
influencing
outcomes.
Novel
include
identification
shifts,
which
underscore
potential
underlying
severity.
insights
pave
way
future
research
exploring
microbiome-targeted
interventions
mitigate
other
infections.
Language: Английский
Combination of exhaled volatile organic compounds with serum biomarkers predicts respiratory infection severity
Pulmonology,
Journal Year:
2025,
Volume and Issue:
31(1)
Published: March 28, 2025
During
respiratory
infections,
host-pathogen
interaction
alters
metabolism,
leading
to
changes
in
the
composition
of
expired
volatile
organic
compounds
(VOCs)
and
soluble
immunomodulators.
This
study
aims
identify
VOC
blood
biomarker
signatures
develop
machine
learning-based
prognostic
models
capable
distinguishing
infections
with
similar
symptoms.
Twenty-one
VOCs
fifteen
serum
biomarkers
were
quantified
samples
from
86
COVID-19
patients,
75
patients
non-COVID-19
72
healthy
donors.
The
populations
categorized
into
severity
subgroups
based
on
their
oxygen
support
requirements.
Descriptive
statistical
analyses
conducted
assess
group
differentiation.
Additionally,
learning
classifiers
developed
predict
disease
both
patients.
profiles
differed
significantly
among
groups.
Random
Forest
demonstrated
best
performance
for
prediction.
model
achieved
93%
accuracy,
100%
sensitivity,
89%
specificity,
identifying
IL-6,
IL-8,
thrombomodulin,
toluene
as
key
predictors.
In
reached
67%
CXCL10
methyl-isobutyl-ketone
markers.
differentiated
HD,
COVID-19,
enabled
development
high-performance
prediction
models.
While
promising,
these
findings
require
validation
larger
independent
cohorts.
Language: Английский
Genetically Predicted Peripheral Immune Cells Mediate the Effect of Gut Microbiota on Influenza Susceptibility
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(14), P. 7706 - 7706
Published: July 14, 2024
The
communication
mechanism
of
the
gut–lung
axis
has
received
increasing
attention
in
recent
years,
particularly
acute
respiratory
infectious
diseases
such
as
influenza.
peripheral
immune
system
serves
a
crucial
bridge
between
gut
and
lungs,
two
organs
that
are
not
close
proximity
to
each
other.
However,
specific
involving
microbiota,
cells,
their
anti-influenza
effects
lung
remains
be
further
elucidated.
In
this
study,
731
species
cells
211
different
microbiota
on
influenza
outcomes
were
analyzed
using
two-sample
Mendelian
randomization
analysis.
After
identifying
associated
with
outcomes,
mediation
analyses
conducted
determine
mediating
protective
or
injurious
mediated
by
microbiota.
19
75
types
identified
being
susceptibility.
rigorous
screening,
12
combinations
for
effects.
Notably,
down-regulation
CD64
CD14-
CD16-
21.10%
18.55%
effect
Alcaligenaceae
Dorea
against
influenza,
respectively.
conclusion,
focusing
study
genetically
inferred
risk
factors.
Furthermore,
analysis
was
used
proportion
microbiota-mediated
susceptibility
This
helps
elucidate
which
affects
from
perspective
regulation
cells.
Language: Английский
Editorial overview: The lung, the gut, and the genital mucosae: microbial targets and therapeutic playgrounds
Current Opinion in Virology,
Journal Year:
2024,
Volume and Issue:
67, P. 101425 - 101425
Published: June 28, 2024
Language: Английский
Differential Responses of Lung and Intestinal Microbiota to SARS-CoV-2 Infection: A Comparative Study of the Wuhan and Omicron Strains in K18-hACE2 tg Mice
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 25, 2024
Abstract
The
COVID-19
pandemic,
caused
by
SARS-CoV-2,
has
led
to
the
emergence
of
viral
variants
with
distinct
characteristics.
We
investigated
differential
effects
original
Wuhan
strain
and
emergent
Omicron
variant
SARS-CoV-2
using
a
K18-hACE2
transgenic
mouse
model.
compared
mortality
rates,
loads,
histopathological
changes
in
lung
tracheal
tissues,
as
well
alterations
intestinal
microbiota
following
infection.
observed
significant
differences
disease
severity,
causing
higher
more
severe
damage
than
variant.
Furthermore,
microbiome
analyses
revealed
shifts
associated
infection
each
variant,
suggesting
that
microbiome-related
mechanisms
might
influence
outcomes.
This
comprehensive
comparison
enhances
our
understanding
pathogenesis
highlights
importance
dynamics
infections,
providing
insights
for
future
therapeutic
preventive
strategies.
Importance
Understanding
impacts
is
crucial
effective
public
health
response
treatment
development.
study
provides
into
revealing
host
mortality,
load,
pathology.
use
model
enables
detailed
examination
these
controlled
setting.
this
modulating
severity
responses
infections.
By
uncovering
microbial
different
variants,
suggests
potential
be
targeted
mitigate
Language: Английский