Frontiers in Neuroscience,
Год журнала:
2022,
Номер
16
Опубликована: Июнь 28, 2022
Neurological
diseases
are
difficult
to
diagnose
in
time,
and
there
is
currently
a
lack
of
effective
predictive
methods.
Previous
studies
have
indicated
that
variety
neurological
cause
changes
the
gut
microbiota.
Alpha
diversity
major
indicator
describe
At
present,
relationship
between
alpha
microbiota
remains
unclear.We
performed
systematic
literature
search
Pubmed
Bioproject
databases
up
January
2021.
Six
indices
were
used
measure
diversity,
including
community
richness
(observed
species,
Chao1
ACE),
(Shannon,
Simpson),
phylogenetic
(PD).
Random-effects
meta-analyses
on
standardized
mean
difference
(SMD)
carried
out
indices.
Subgroup
analyses
explore
sources
interstudy
heterogeneity.
Meta-analysis
was
articles
by
matching
age,
sex,
body
mass
index
(BMI)
disease
group
with
control
group.
Meanwhile,
subgroup
analysis
variability
sequencing
region,
platform,
geographical
instrument,
diseases.
The
area
under
curve
(AUC)
value
receiver
operating
characteristic
(ROC)
calculated
assess
prediction
effectiveness
microbial
indices.We
conducted
meta-analysis
24
published
16S
rRNA
gene
amplified
from
database
(patients,
n
=
1,469;
controls,
1,289).
pooled
estimate
demonstrated
no
significant
patients
controls
(P
<
0.05).
decreased
only
Parkinson's
patients,
while
it
increased
anorexia
nervosa
compared
controls.
After
adjusting
for
BMI,
none
associated
In
terms
Illumina
HiSeq
2000
V3-V5
results
showed
significantly
comparison
2500.
ROC
curves
suggested
could
be
as
biomarker
predict
AD
(Simpson,
AUC=
0.769,
P
0.0001),
MS
0.737,
0.001),
schizophrenia
(Chao1,
AUC
0.739,
0.002).Our
review
summarized
promising
predictor
AD,
schizophrenia,
MS,
but
not
all
Current Opinion in Plant Biology,
Год журнала:
2017,
Номер
38, С. 155 - 163
Опубликована: Июнь 14, 2017
After
a
century
of
incremental
research,
technological
advances,
coupled
with
need
for
sustainable
crop
yield
increases,
have
reinvigorated
the
study
beneficial
plant-microbe
interactions
attention
focused
on
how
microbiomes
alter
plant
phenotypes.
We
review
recent
advances
in
microbiome
and
describe
potential
applications
increasing
productivity.
The
phylogenetic
diversity
is
increasingly
well
characterized,
their
functional
becoming
more
accessible.
Large
culture
collections
are
available
controlled
experimentation,
to
come.
Genetic
resources
being
brought
bear
questions
function.
expect
that
microbial
amendments
varying
complexities
will
expose
rules
governing
contributing
growth
promotion
disease
resistance,
enabling
agriculture.
Frontiers in Microbiology,
Год журнала:
2019,
Номер
10
Опубликована: Окт. 23, 2019
Understanding
the
drivers
of
diversity
is
a
fundamental
question
in
ecology.
Extensive
literature
discusses
different
methods
for
describing
and
documenting
its
effects
on
ecosystem
health
function.
However,
it
widely
believed
that
depends
intensity
sampling.
I
discuss
statistical
perspective
diversity,
framing
an
environment
as
unknown
parameter,
discussing
bias
variance
plug-in
rarefied
estimates.
describe
state
addressing
these
problems,
focusing
analysis
microbial
diversity.
argue
latent
variable
models
can
address
issues
with
variance,
but
corrections
need
to
be
utilized
well.
encourage
ecologists
use
estimates
account
unobserved
species,
measurement
error
compare
across
ecosystems.
JAMA Psychiatry,
Год журнала:
2021,
Номер
78(12), С. 1343 - 1343
Опубликована: Сен. 15, 2021
Evidence
of
gut
microbiota
perturbations
has
accumulated
for
multiple
psychiatric
disorders,
with
signatures
proposed
as
potential
biomarkers.
However,
no
attempts
have
been
made
to
evaluate
the
specificity
these
across
range
conditions.
FEMS Microbiology Reviews,
Год журнала:
2017,
Номер
41(5), С. 599 - 623
Опубликована: Июль 10, 2017
Soil,
the
living
terrestrial
skin
of
Earth,
plays
a
central
role
in
supporting
life
and
is
home
to
an
unimaginable
diversity
microorganisms.
This
review
explores
key
drivers
for
microbial
soils
under
different
climates
land-use
practices
at
scales
ranging
from
soil
pores
landscapes.
We
delineate
special
features
as
habitat
(focusing
on
bacteria)
consequences
communities.
covers
recent
modeling
advances
that
link
physical
processes
with
(termed
biophysical
processes).
Readers
are
introduced
concepts
governing
water
organization
associated
transport
properties
dispersion
ranges
often
determined
by
spatial
highly
dynamic
aqueous
phase.
The
narrow
hydrological
windows
wetting
phase
connectedness
crucial
resource
distribution
longer
range
Feedbacks
between
activity
their
immediate
environment
responsible
emergence
stabilization
structure-the
scaffolding
ecological
functioning.
synthesize
insights
historical
contemporary
studies
provide
outlook
challenges
opportunities
developing
quantitative
framework
predict
component
Current Opinion in Microbiology,
Год журнала:
2018,
Номер
43, С. 162 - 168
Опубликована: Фев. 15, 2018
Soil
microorganisms
carry
out
important
processes,
including
support
of
plant
growth
and
cycling
carbon
other
nutrients.
However,
the
majority
soil
microbes
have
not
yet
been
isolated
their
functions
are
largely
unknown.
Although
metagenomic
sequencing
reveals
microbial
identities
functional
gene
information,
it
includes
DNA
from
with
vastly
varying
physiological
states.
Therefore,
metagenomics
is
only
predictive
community
potential.
We
posit
that
next
frontier
lies
in
understanding
metaphenome,
product
combined
genetic
potential
microbiome
available
resources.
Here
we
describe
examples
opportunities
towards
gaining
metaphenome.
The
alpha
diversity
of
ecologic
communities
is
affected
by
many
biotic
and
abiotic
drivers
and,
in
turn,
affects
ecosystem
functioning.
Yet,
patterns
host-associated
microbial
(microbiomes)
are
poorly
studied
the
appropriateness
general
theory
untested.
Expanding
to
include
microbiomes
essential
as
a
frequently
cited
metric
their
status.
Here,
we
review
newly
analyze
reports
for
animal
gut
microbiomes.
We
demonstrate
that
both
diet
body
size
affect
but
physiology
(fermenter
versus
simple)
most
important
driver.
also
assess
advantages
various
metrics.
importance
often
assumed
has
not
been
tested
outright.
Therefore,
close
discussing
how
integrate
into
field
biodiversity-ecosystem
functioning
more
clearly
understand
when
why
host
supports
diverse
communities.
ABSTRACT
Dysbiosis
is
a
key
term
in
human
microbiome
research,
especially
when
patterns
are
associated
with
disease
states.
Although
some
questions
have
been
raised
about
how
this
applied,
its
use
continues
undiminished
the
literature.
We
investigate
ways
which
researchers
discuss
dysbiosis
and
then
assess
impact
of
different
concepts
on
research.
After
an
overview
term’s
historical
roots,
we
conduct
quantitative
qualitative
analyses
large
selection
contemporary
statements.
categorize
both
short
definitions
longer
conceptual
statements
dysbiosis.
Further
analysis
allows
us
to
identify
problematic
implications
used,
particularly
regard
causal
hypotheses
normal-abnormal
distinctions.
suggest
that
should
reflect
carefully
they
dysbiosis,
order
for
field
continue
develop
greater
predictive
scope
explanatory
depth.