Respiratory Research,
Год журнала:
2024,
Номер
25(1)
Опубликована: Май 18, 2024
Bronchiectasis
is
a
condition
characterized
by
abnormal
and
irreversible
bronchial
dilation
resulting
from
lung
tissue
damage
can
be
categorized
into
two
main
groups:
cystic
fibrosis
(CF)
non-CF
bronchiectasis
(NCFB).
Both
diseases
are
marked
recurrent
infections,
inflammatory
exacerbations,
damage.
Given
that
infections
the
primary
drivers
of
disease
progression,
characterization
respiratory
microbiome
shed
light
on
compositional
alterations
susceptibility
to
antimicrobial
drugs
in
these
cases
compared
healthy
individuals.
To
assess
microbiota
studied
diseases,
35
subjects
were
recruited,
comprising
10
NCFB
13
CF
patients
12
Nasopharyngeal
swabs
induced
sputum
collected,
total
DNA
was
extracted.
The
then
sequenced
shotgun
method
evaluated
using
SqueezeMeta
pipeline
R.
We
observed
reduced
species
diversity
both
cohorts,
along
with
distinct
microbial
compositions
profiles
resistance
genes,
nasopharynx
exhibited
consistent
composition
across
all
cohorts.
Enrichment
members
Burkholderiaceae
family
an
increased
Firmicutes/Bacteroidetes
ratio
cohort
emerged
as
key
distinguishing
factors
group.
Staphylococcus
aureus
Prevotella
shahii
also
presented
differential
abundance
respectively,
lower
tract.
Considering
resistance,
high
number
genes
related
antibiotic
efflux
detected
groups,
which
correlated
patient's
clinical
data.
associated
shift
resistome
subjects.
Despite
some
similarities,
present
significant
differences
profiles,
suggesting
need
for
customized
management
strategies
each
disease.
Trends in Microbiology,
Год журнала:
2023,
Номер
31(12), С. 1276 - 1286
Опубликована: Авг. 30, 2023
In
silico
and
experimental
approaches
have
allowed
an
ever-growing
understanding
of
the
interactions
within
microbiota.
For
instance,
recently
acquired
data
increased
knowledge
mechanisms
that
support,
in
gut
vaginal
microbiota,
resistance
to
colonization
by
Candida
albicans,
opportunistic
fungal
pathogen
whose
overgrowth
can
initiate
severe
infections
immunocompromised
patients.
Here,
we
review
how
bacteria
from
microbiota
interact
with
C.
albicans.
We
show
recent
OMICs-based
pipelines,
using
metagenomics
and/or
metabolomics,
identified
bacterial
species
metabolites
modulating
albicans
growth.
finally
discuss
combined
use
cutting-edge
could
provide
new
means
control
prevent
its
consequences.
ISME Communications,
Год журнала:
2024,
Номер
4(1)
Опубликована: Янв. 1, 2024
Microbial
communities
are
diverse
biological
systems
that
include
taxa
from
across
multiple
kingdoms
of
life.
Notably,
interactions
between
bacteria
and
fungi
play
a
significant
role
in
determining
community
structure.
However,
these
statistical
associations
more
difficult
to
infer
than
intra-kingdom
due
the
nature
data
involved
using
standard
network
inference
techniques.
We
quantify
challenges
cross-kingdom
both
theoretical
practical
points
view
synthetic
real-world
microbiome
data.
detail
issue
presented
by
combining
compositional
sets
drawn
same
environment,
e.g.
16S
ITS
sequencing
single
set
samples,
we
survey
common
techniques
for
their
ability
handle
this
error.
then
test
accuracy
usefulness
intra-
inter-kingdom
inferring
networks
simulated
samples
which
ground-truth
is
known.
show
while
two
methods
mitigate
error
inference,
there
little
difference
key
applications
including
identification
strong
correlations
possible
keystone
(i.e.
hub
nodes
network).
Furthermore,
identify
signature
caused
transkingdom
demonstrate
it
appears
constructed
environmental
Respiratory Research,
Год журнала:
2024,
Номер
25(1)
Опубликована: Май 18, 2024
Bronchiectasis
is
a
condition
characterized
by
abnormal
and
irreversible
bronchial
dilation
resulting
from
lung
tissue
damage
can
be
categorized
into
two
main
groups:
cystic
fibrosis
(CF)
non-CF
bronchiectasis
(NCFB).
Both
diseases
are
marked
recurrent
infections,
inflammatory
exacerbations,
damage.
Given
that
infections
the
primary
drivers
of
disease
progression,
characterization
respiratory
microbiome
shed
light
on
compositional
alterations
susceptibility
to
antimicrobial
drugs
in
these
cases
compared
healthy
individuals.
To
assess
microbiota
studied
diseases,
35
subjects
were
recruited,
comprising
10
NCFB
13
CF
patients
12
Nasopharyngeal
swabs
induced
sputum
collected,
total
DNA
was
extracted.
The
then
sequenced
shotgun
method
evaluated
using
SqueezeMeta
pipeline
R.
We
observed
reduced
species
diversity
both
cohorts,
along
with
distinct
microbial
compositions
profiles
resistance
genes,
nasopharynx
exhibited
consistent
composition
across
all
cohorts.
Enrichment
members
Burkholderiaceae
family
an
increased
Firmicutes/Bacteroidetes
ratio
cohort
emerged
as
key
distinguishing
factors
group.
Staphylococcus
aureus
Prevotella
shahii
also
presented
differential
abundance
respectively,
lower
tract.
Considering
resistance,
high
number
genes
related
antibiotic
efflux
detected
groups,
which
correlated
patient's
clinical
data.
associated
shift
resistome
subjects.
Despite
some
similarities,
present
significant
differences
profiles,
suggesting
need
for
customized
management
strategies
each
disease.
