Microbiota and Immunity during Respiratory Infections: Lung and Gut Affair
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(7), С. 4051 - 4051
Опубликована: Апрель 5, 2024
Bacterial
and
viral
respiratory
tract
infections
are
the
most
common
infectious
diseases,
leading
to
worldwide
morbidity
mortality.
In
past
10
years,
importance
of
lung
microbiota
emerged
in
context
pulmonary
although
mechanisms
by
which
it
impacts
intestinal
environment
have
not
yet
been
fully
identified.
On
contrary,
gut
microbial
dysbiosis
is
associated
with
disease
etiology
or/and
development
lung.
this
review,
we
present
an
overview
microbiome
modifications
occurring
during
infections,
namely,
reduced
community
diversity
increased
burden,
downstream
consequences
on
host–pathogen
interaction,
inflammatory
signals,
cytokines
production,
turn
affecting
progression
outcome.
Particularly,
focus
role
gut–lung
bidirectional
communication
shaping
inflammation
immunity
context,
resuming
both
animal
human
studies.
Moreover,
discuss
challenges
possibilities
related
novel
microbial-based
(probiotics
dietary
supplementation)
microbial-targeted
therapies
(antibacterial
monoclonal
antibodies
bacteriophages),
aimed
remodel
composition
resident
communities
restore
health.
Finally,
propose
outlook
some
relevant
questions
field
be
answered
future
research,
may
translational
relevance
for
prevention
control
infections.
Язык: Английский
Metagenomic next generation sequencing of bronchoalveolar lavage fluids for the identification of pathogens in patients with pulmonary infection: A retrospective study
Diagnostic Microbiology and Infectious Disease,
Год журнала:
2024,
Номер
110(1), С. 116402 - 116402
Опубликована: Июнь 12, 2024
Due
to
the
limitations
of
traditional
laboratory
methods
(TMs),
identification
causative
pathogens
numerous
pulmonary
infections
(PIs)
remains
difficult.
This
study
evaluated
value
metagenomic
next
generation
sequencing
(mNGS)
in
various
respiratory
pathogens.
A
total
207
patients
with
TMs
and
mNGS
data
were
collected
for
this
retrospective
study.
included
sputum
culture,
blood,
bronchoalveolar
lavage
fluid
(BALF)
analysis,
or
polymerase
chain
reaction
analysis
throat
swabs.
Otherwise,
BALF
was
analyzed
using
mNGS.
For
bacterial
pathogens,
sensitivities
as
compared
76.74
%
58.14
(P=0.012).
fungal
detection
rate
sensitivity
higher
that
(93.68
vs
22.11
%;
P<0.001).
The
positive
predictive
negative
also
greater
Use
offers
good
specificity
thus
facilitates
clinical
diagnosis
PIs.
Язык: Английский
Deciphering the microbial landscape of lower respiratory tract infections: insights from metagenomics and machine learning
Frontiers in Cellular and Infection Microbiology,
Год журнала:
2024,
Номер
14
Опубликована: Май 23, 2024
Background
Lower
respiratory
tract
infections
represent
prevalent
ailments.
Nonetheless,
current
comprehension
of
the
microbial
ecosystems
within
lower
remains
incomplete
and
necessitates
further
comprehensive
assessment.
Leveraging
advancements
in
metagenomic
next-generation
sequencing
(mNGS)
technology
alongside
emergence
machine
learning,
it
is
now
viable
to
compare
attributes
communities
among
patients
across
diverse
age
groups,
diseases,
infection
types.
Method
We
collected
bronchoalveolar
lavage
fluid
samples
from
138
diagnosed
with
conducted
mNGS
characterize
lung
microbiota.
Employing
various
learning
algorithms,
we
investigated
correlation
key
bacteria
concurrent
bronchiectasis
developed
a
predictive
model
for
hospitalization
duration
based
on
these
identified
bacteria.
Result
observed
variations
different
In
elderly
group,
Pseudomonas
aeruginosa
exhibited
highest
relative
abundance,
followed
by
Corynebacterium
striatum
Acinetobacter
baumannii
.
Methylobacterium
Prevotella
emerged
as
dominant
genera
at
genus
level
younger
while
Mycobacterium
tuberculosis
Haemophilus
influenzae
were
species.
Within
included
,
Klebsiella
pneumoniae
Significant
differences
presence
phage
JBD93
noted
between
group
control
group.
concomitant
fungal
infections,
most
abundant
predominant
Notable
Human
gammaherpesvirus
4
betaherpesvirus
5
Candida
albicans
Aspergillus
oryzae
fumigatus
bacterial
Machine
algorithms
utilized
select
clinical
indicators
associated
duration,
confirming
excellent
performance
predicting
time.
Conclusion
Our
study
provided
description
characteristics
offering
insights
perspectives.
Additionally,
advanced
capability
community
features
determining
patients.
Язык: Английский
Application of targeted next-generation sequencing for detecting respiratory pathogens in the sputum of patients with pulmonary infections
Infection Genetics and Evolution,
Год журнала:
2025,
Номер
128, С. 105722 - 105722
Опубликована: Фев. 4, 2025
Targeted
next-generation
sequencing
(tNGS)
might
be
valuable
for
identifying
disease-causing
pathogens.
Herein,
we
assessed
the
utility
of
tNGS
in
diagnosing
pulmonary
infections
using
sputum
samples.
We
gathered
complete
clinical
information
and
tested
specimens
both
conventional
microbiological
tests
(CMTs)
tNGS.
The
goal
was
to
compare
effectiveness
these
two
methods
detecting
viral,
bacterial,
fungal
Notably,
demonstrated
a
higher
pathogen
detection
rate
compared
CMTs
(80.26
%
[122/152]
vs.
33.55
[51/152],
P
=
0.029).
Specifically,
more
effective
viruses
than
(90.00
28.07
%,
0.003).
Moreover,
detected
certain
fungi,
such
as
Candida
albicans
Cryptococcus
neoformans,
although
difference
between
assays
not
statistically
significant
(P
>
0.05).
Our
findings
reveal
that
offers
advantages
pathogens
patients
with
lung
infections,
particularly
bacteria
viruses,
providing
complements
CMTs.
Язык: Английский
Characterizations of lung cancer microbiome and exploration of potential microbial risk factors for lung cancer
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Май 5, 2025
Recent
studies
have
indicated
that
the
lung
microbiome
may
contribute
to
development
and
progression
of
cancer,
although
precise
mechanisms
remain
be
fully
elucidated.
This
study
sought
delineate
microbial
composition
within
cancer
tissues
identify
potential
risk
factors.
Tissue
samples
were
collected
from
patients
newly
diagnosed
with
pulmonary
opacities,
metagenomic
next-generation
sequencing
was
employed
analyze
these
samples.
130
categorized
into
(50
cases),
infection
(53
non-infectious
diseases
(27
cases).
The
group
served
as
primary
control.
diversity
in
found
comparable
observed
benign
conditions.
Specific
phyla
genera
exhibited
increased
abundance
tissues.
Additionally,
correlations
established
between
certain
microorganisms
clinical
characteristics
associated
cancer.
Multivariate
binary
logistic
regression
analysis
revealed
age
Shewanella
independent
factors
for
development.
suggests
differs
significantly
individuals
those
conditions,
microbes
such
potentially
serving
progression.
Язык: Английский
Genomic characterization and molecular evolution of human monkeypox viruses
Archives of Virology,
Год журнала:
2023,
Номер
168(11)
Опубликована: Окт. 21, 2023
Язык: Английский
Microbial signatures predictive of short-term prognosis in severe pneumonia
Shen-Shen Huang,
Jiayong Qiu,
S Li
и другие.
Frontiers in Cellular and Infection Microbiology,
Год журнала:
2024,
Номер
14
Опубликована: Авг. 2, 2024
This
retrospective
cohort
study
aimed
to
investigate
the
composition
and
diversity
of
lung
microbiota
in
patients
with
severe
pneumonia
explore
its
association
short-term
prognosis.
Язык: Английский
Effect of continuous renal replacement therapy on the clinical efficacy and pharmacokinetics of polymyxin B in the treatment of severe pulmonary infection
Heliyon,
Год журнала:
2024,
Номер
10(6), С. e27558 - e27558
Опубликована: Март 1, 2024
ObjectiveThis
study
aimed
to
evaluate
the
pharmacokinetics
of
polymyxin
B
in
patients
with
ventilator-associated
pneumonia
caused
by
multi-drug
resistant
bacteria,
and
analyze
effect
continuous
renal
replacement
therapy
(CRRT)
on
B.MethodsThirty-five
bacteria
admitted
our
hospital
from
June
2021
January
2022
were
selected
as
subjects.
The
divided
into
standard
group
(n
=
20)
non-standard
15)
based
factors
affecting
compliance
plasma
concentration.
received
concentration
was
monitored.
According
monitoring
results,
they
group,
influencing
blood
Besides,
then
control
28)
observation
7)
according
whether
CRRT
treatment.
Patients
treated
alone,
while
CRRT.
general
data
two
groups
compared.
levels
measured
before
next
administration
(Cmin),
peak
immediately
after
end
infusion
(Cmax)
intermediate
6
h
(midpoint
dosing
interval)
(C1/2t)
detected
compared
between
groups.
Correlation
efficacy
analyzed
Spearman
correlation.
incidence
complications
28-day
mortality
rate
recorded.ResultsThe
age,
body
mass
index
(BMI)
Acute
Physiology
Chronic
Health
Evaluation
II
(APACHE
II)
scores
higher
than
these
(p
<
0.05).
BMI
APACHE
independent
risk
severe
pulmonary
infection
There
no
significant
differences
BMI,
APACHEII
score,
alanine
aminotransferase
level,
aspartate
albumin
gender
diabetes
ratio
>
Cmin,
Cmax,
C1/2t
lower
0.001).
response
50.00%
36.36%
correlation
clinical
0.05),
positive
(r
0.485,
p
difference
skin
pigmentation,
nephrotoxicity
0.05).ConclusionIn
not
receiving
multidrug-resistant
achieving
drug
usual
recommended
dose
satisfactory.
However,
proportion
a
6-h
exceeding
maximum
high.
important
B.
In
undergoing
CRRT,
significantly
reduced,
suggesting
that
disease,
played
an
role
patient
safety.
may
need
be
increased.
Язык: Английский