Alterations in microbiota of patients with COVID‐19: implications for therapeutic interventions
MedComm,
Journal Year:
2024,
Volume and Issue:
5(4)
Published: March 15, 2024
Severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
recently
caused
a
global
pandemic,
resulting
in
more
than
702
million
people
being
infected
and
over
6.9
deaths.
Patients
with
disease
(COVID-19)
may
suffer
from
diarrhea,
sleep
disorders,
depression,
even
cognitive
impairment,
which
is
associated
long
COVID
during
recovery.
However,
there
remains
no
consensus
on
effective
treatment
methods.
Studies
have
found
that
patients
COVID-19
alterations
microbiota
their
metabolites,
particularly
the
gut,
be
involved
regulation
of
immune
responses.
Consumption
probiotics
alleviate
discomfort
by
inflammation
oxidative
stress.
pathophysiological
process
underlying
alleviation
COVID-19-related
symptoms
complications
targeting
unclear.
In
current
study,
we
summarize
latest
research
evidence
together
SARS-CoV-2
vaccine
use,
focus
relationship
between
use.
This
work
provides
probiotic-based
interventions
improve
regulating
gut
systemic
immunity.
Probiotics
also
used
as
adjuvants
to
efficacy.
Language: Английский
The relationship between gut and nasopharyngeal microbiome composition can predict the severity of COVID-19
eLife,
Journal Year:
2025,
Volume and Issue:
13
Published: Feb. 18, 2025
Coronavirus
disease
2019
(COVID-19)
is
a
respiratory
illness
caused
by
severe
acute
syndrome
coronavirus
2
(SARS-CoV-2)
that
displays
great
variability
in
clinical
phenotype.
Many
factors
have
been
described
to
be
correlated
with
its
severity,
and
microbiota
could
play
key
role
the
infection,
progression,
outcome
of
disease.
SARS-CoV-2
infection
has
associated
nasopharyngeal
gut
dysbiosis
higher
abundance
opportunistic
pathogens.
To
identify
new
prognostic
markers
for
disease,
multicentre
prospective
observational
cohort
study
was
carried
out
COVID-19
patients
divided
into
three
cohorts
based
on
symptomatology:
mild
(n
=
24),
moderate
51),
severe/critical
31).
Faecal
samples
were
taken,
analysed.
Linear
discriminant
analysis
identified
Mycoplasma
salivarium
,
Prevotella
dentalis
Haemophilus
parainfluenzae
as
biomarkers
microbiota,
while
bivia
timonensis
defined
faecal
microbiota.
Additionally,
connection
between
identified,
significant
ratio
P.
(faeces)
M.
(nasopharyngeal)
abundances
found
critically
ill
patients.
This
serve
novel
tool
identifying
cases.
Language: Английский
Functional relevance of seasonal variations in the gut microbiota of the Critically Endangered Hangul (Cervus hanglu hanglu)
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 16, 2025
Abstract
Background
Understanding
the
role
of
gut
microbiota
in
adapting
to
seasonal
dietary
and
environmental
fluctuations
is
essential
for
conservation
endangered
species.
This
study
presents
first
comprehensive
analysis
variations
critically
hangul
(
Cervus
hanglu
hanglu),
endemic
Dachigam
National
Park,
Jammu
&
Kashmir,
India.
Using
high-throughput
16S
rRNA
gene
sequencing,
we
analyzed
79
fecal
samples
collected
four
distinct
seasons.
Results
Our
results
revealed
Firmicutes
Bacteroidota
as
dominant
phyla
throughout
year,
with
significant
shifts
microbial
diversity
composition.
Alpha
metrics
indicated
a
marked
reduction
richness
evenness
during
autumn,
potentially
reflecting
reduced
forage
quality.
Beta
analyses
demonstrated
clustering
communities
across
seasons
(PERMANOVA,
p
<
0.001),
highlighting
dynamic
responses
changes.
Functional
predictions
inferred
429
functional
pathways
using
PICRUSt2,
identified
variation
metabolic
pathways,
increased
lactose
galactose
degradation
spring
enhanced
methanogenesis
winter,
adaptive
strategies
optimize
host
energy
metabolism
changing
Network
further
restructuring
interactions,
identifying
key
taxa
that
drive
transitions.
The
decline
autumn
underscores
potential
constraints
faced
by
scarcity.
Conclusions
These
findings
provide
critical
insights
into
ecological
physiological
adaptability
mediated
microbiota,
underscore
importance
integrating
microbiome
research
strategies.
Targeted
habitat
management
interventions
aligned
natural
dynamics
could
enhance
health
resilience
populations
facing
anthropogenic
pressures.
Language: Английский
Integrative Metabolomic and Lipidomic Signatures of SARS-CoV-2 VOCs: Correlations with Hematological and Biochemical Markers
Journal of Proteome Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 19, 2025
In
the
present
study,
we
investigated
biochemical,
hematological,
lipidomic,
and
metabolomic
alterations
associated
with
different
SAR-CoV-2
variants
of
concern
(VOCs),
such
as
WT,
α,
β,
γ,
δ,
well
their
impact
on
COVID-19
severity.
Across
first
second
waves
in
India,
a
machine
learning
approach
was
used
3134
patients,
nine
critical
biochemical
hematological
parameters,
namely,
C-reactive
protein
(CRP),
D-dimer,
ferritin,
neutrophil,
WBC
count,
lymphocyte,
urea,
creatine,
lactate
dehydrogenase
(LDH),
were
identified.
Furthermore,
through
metabolic
lipidomic
profiles
lung
colon
cells
transfected
spike
VOCs,
notable
dysregulation
exhibited
by
delta
variant
correlated
characteristic
pathways
catecholamine
thyroid
hormone
synthesis.
A
corroborating
meta-analysis
also
highlighted
involvement
urea
amino
acid
metabolism
pathways.
Overall,
our
study
provides
crucial
insights
into
disruptions
caused
contributing
to
better
understanding
pathogenesis
development
targeted
interventions.
Language: Английский
The relationship between gut and nasopharyngeal microbiome composition can predict the severity of COVID-19
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 13, 2024
ABSTRACT
Coronavirus
disease
2019
(COVID-19)
is
a
respiratory
illness
caused
by
severe
acute
syndrome
coronavirus
2
(SARS-CoV-2)
that
displays
great
variability
in
clinical
phenotype.
Many
factors
have
been
described
to
be
correlated
with
its
severity,
and
microbiota
could
play
key
role
the
infection,
progression,
outcome
of
disease.
SARS-CoV-2
infection
has
associated
nasopharyngeal
gut
dysbiosis
higher
abundance
opportunistic
pathogens.
To
identify
new
prognostic
markers
for
disease,
multicenter
prospective
observational
cohort
study
was
carried
out
COVID-19
patients
divided
into
three
cohorts
based
on
symptomatology:
mild
(n=24),
moderate
(n=51),
severe/critical
(n=31).
Faecal
samples
were
taken,
analyzed.
Linear
discriminant
analysis
identified
M.
salivarium
,
P.
dentalis
H.
parainfluenzae
as
biomarkers
microbiota,
while
bivia
timonensis
defined
faecal
microbiota.
Additionally,
connection
between
identified,
significant
ratio
(faeces)
(nasopharyngeal)
abundances
found
critically
ill
patients.
This
serve
novel
tool
identifying
cases.
Language: Английский
Wise Roles and Future Visionary Endeavors of Current Emperor: Advancing Dynamic Methods for Longitudinal Microbiome Meta‐Omics Data in Personalized and Precision Medicine
Advanced Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 13, 2024
Abstract
Understanding
the
etiological
complexity
of
diseases
requires
identifying
biomarkers
longitudinally
associated
with
specific
phenotypes.
Advanced
sequencing
tools
generate
dynamic
microbiome
data,
providing
insights
into
microbial
community
functions
and
their
impact
on
health.
This
review
aims
to
explore
current
roles
future
visionary
endeavors
methods
for
integrating
longitudinal
multi‐omics
data
in
personalized
precision
medicine.
work
seeks
synthesize
existing
research,
propose
best
practices,
highlight
innovative
techniques.
The
development
application
advanced
methods,
including
unified
analytical
frameworks
deep
learning
artificial
intelligence,
are
critically
examined.
Aggregating
microbes,
metabolites,
genes,
other
entities
offers
profound
interactions
among
microorganisms,
host
physiology,
external
stimuli.
Despite
progress,
absence
gold
standards
validating
protocols
resources
various
studies
remains
a
significant
challenge.
interdependence
workflow
steps
affects
overall
outcomes.
provides
comprehensive
roadmap
addressing
challenges
methods.
underscores
biological
effects
clinical,
experimental,
protocol
settings
Establishing
consensus
inter‐studies
advancing
reliable
pivotal
Language: Английский
The relationship between gut and nasopharyngeal microbiome composition can predict the severity of COVID-19
eLife,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 26, 2024
Coronavirus
disease
2019
(COVID-19)
is
a
respiratory
illness
caused
by
severe
acute
syndrome
coronavirus
2
(SARS-CoV-2)
that
displays
great
variability
in
clinical
phenotype.
Many
factors
have
been
described
to
be
correlated
with
its
severity,
and
microbiota
could
play
key
role
the
infection,
progression,
outcome
of
disease.
SARS-CoV-2
infection
has
associated
nasopharyngeal
gut
dysbiosis
higher
abundance
opportunistic
pathogens.
To
identify
new
prognostic
markers
for
disease,
multicentre
prospective
observational
cohort
study
was
carried
out
COVID-19
patients
divided
into
three
cohorts
based
on
symptomatology:
mild
(n
=
24),
moderate
51),
severe/critical
31).
Faecal
samples
were
taken,
analysed.
Linear
discriminant
analysis
identified
Mycoplasma
salivarium,
Prevotella
dentalis,
Haemophilus
parainfluenzae
as
biomarkers
microbiota,
while
bivia
timonensis
defined
faecal
microbiota.
Additionally,
connection
between
identified,
significant
ratio
P.
(faeces)
dentalis
M.
salivarium
(nasopharyngeal)
abundances
found
critically
ill
patients.
This
serve
novel
tool
identifying
cases.
Language: Английский
The relationship between gut and nasopharyngeal microbiome composition can predict the severity of COVID-19
Published: Dec. 4, 2024
Coronavirus
disease
2019
(COVID-19)
is
a
respiratory
illness
caused
by
severe
acute
syndrome
coronavirus
2
(SARS-CoV-2)
that
displays
great
variability
in
clinical
phenotype.
Many
factors
have
been
described
to
be
correlated
with
its
severity,
and
microbiota
could
play
key
role
the
infection,
progression,
outcome
of
disease.
SARS-CoV-2
infection
has
associated
nasopharyngeal
gut
dysbiosis
higher
abundance
opportunistic
pathogens.
To
identify
new
prognostic
markers
for
disease,
multicenter
prospective
observational
cohort
study
was
carried
out
COVID-19
patients
divided
into
three
cohorts
based
on
symptomatology:
mild
(n=24),
moderate
(n=51),
severe/critical
(n=31).
Faecal
samples
were
taken,
analyzed.
Linear
discriminant
analysis
identified
M.
salivarium
,
P.
dentalis
H.
parainfluenzae
as
biomarkers
microbiota,
while
bivia
timonensis
defined
faecal
microbiota.
Additionally,
connection
between
identified,
significant
ratio
(faeces)
(nasopharyngeal)
abundances
found
critically
ill
patients.
This
serve
novel
tool
identifying
cases.
Language: Английский