Scientific Reports,
Journal Year:
2019,
Volume and Issue:
9(1)
Published: Sept. 9, 2019
Abstract
The
prevalence
of
many
chronic
diseases
has
increased
over
the
last
decades.
It
been
postulated
that
dysbiosis
driven
by
environmental
factors
such
as
antibiotic
use
is
shifting
microbiome
in
ways
increase
inflammation
and
onset
disease.
Dysbiosis
can
be
defined
through
loss
or
gain
bacteria
either
promote
health
disease,
respectively.
Here
we
multiple
independent
datasets
to
determine
nature
for
a
cluster
includes
urinary
stone
disease
(USD),
obesity,
diabetes,
cardiovascular
kidney
which
often
exist
co-morbidities.
For
all
states,
individuals
exhibited
statistically
significant
association
with
antibiotics
year
compared
healthy
counterparts.
There
was
also
between
gut
microbiota
composition.
Furthermore,
each
state
associated
microbial
diversity
gut.
Three
genera,
Bacteroides,
Prevotella
,
Ruminococcus
were
most
common
dysbiotic
taxa
terms
being
enriched
depleted
populations
part
operational
taxonomic
units
(OTUs)
within
these
genera.
Results
cross-sectional
analysis
suggest
antibiotic-driven
may
risk
However,
longitudinal
studies
are
needed
confirm
causative
effect
risk.
mSphere,
Journal Year:
2021,
Volume and Issue:
6(1)
Published: Feb. 24, 2021
In
16S
rRNA
gene
sequencing,
certain
bacterial
genera
were
found
to
be
underrepresented
or
even
missing
in
taxonomic
profiles
when
using
unsuitable
primer
combinations,
outdated
reference
databases,
inadequate
pipeline
settings.
Concerning
the
last,
quality
thresholds
as
well
bioinformatic
settings
(i.e.,
clustering
approach,
analysis
pipeline,
and
specific
adjustments
such
truncation)
are
responsible
for
a
number
of
observed
differences
between
studies.
Scientific Reports,
Journal Year:
2019,
Volume and Issue:
9(1)
Published: Sept. 9, 2019
Abstract
The
prevalence
of
many
chronic
diseases
has
increased
over
the
last
decades.
It
been
postulated
that
dysbiosis
driven
by
environmental
factors
such
as
antibiotic
use
is
shifting
microbiome
in
ways
increase
inflammation
and
onset
disease.
Dysbiosis
can
be
defined
through
loss
or
gain
bacteria
either
promote
health
disease,
respectively.
Here
we
multiple
independent
datasets
to
determine
nature
for
a
cluster
includes
urinary
stone
disease
(USD),
obesity,
diabetes,
cardiovascular
kidney
which
often
exist
co-morbidities.
For
all
states,
individuals
exhibited
statistically
significant
association
with
antibiotics
year
compared
healthy
counterparts.
There
was
also
between
gut
microbiota
composition.
Furthermore,
each
state
associated
microbial
diversity
gut.
Three
genera,
Bacteroides,
Prevotella
,
Ruminococcus
were
most
common
dysbiotic
taxa
terms
being
enriched
depleted
populations
part
operational
taxonomic
units
(OTUs)
within
these
genera.
Results
cross-sectional
analysis
suggest
antibiotic-driven
may
risk
However,
longitudinal
studies
are
needed
confirm
causative
effect
risk.
