Journal of Translational Medicine,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: April 10, 2025
Knowledge
of
the
urinary
microbiome
(urobiome)
in
diabetic
kidney
disease
(DKD)
remains
limited.
The
most
commonly
used
16S
rRNA
sequencing
technique
can
only
provide
bacterial
identification
at
genus
level.
As
a
novel
technique,
2bRAD
for
(2bRAD-M)
be
to
identify
low-biomass
species
In
this
study,
we
2bRAD-M
compare
urobiome
composition
patients
with
DKD
different
stages
healthy
individuals
and
those
type
2
diabetes
mellitus
(T2DM),
expectation
that
would
find
discriminative
correlated
DKD.
Healthy
controls,
microalbuminuria
(DKD1
group)
or
macroalbuminuria
(DKD2
group),
T2DM
were
recruited
(n
=
20
each
group).
first-morning
urine
was
collected
testing.
albumin-to-creatinine
ratio
(ACR)
also
measured
samples.
Serum
samples
detecting
clinical
indicators.
microbial
diversity
based
on
abundance
calculated.
Differential
bacteria
groups
identified.
Besides,
correlation
between
indices
analyzed.
Urobiome
significantly
reduced
groups.
DKD1
group,
dominant
genus,
followed
by
Pseudomonas_E,
whereas
DKD2
Pseudomonas_E
became
Escherichia
notably
reduced.
Both
Bifidobacterium
Streptococcus,
which
top
genera
control
substantially
decreased
included
coli
Acinetobacter
johnsonii,
while
DKD2,
oleovorans,
Enterococcus
faecalis,
Morganella
morganii
showed
strong
renal
function
indicators
protein
levels.
markedly
from
patients.
These
findings
valuable
insights
into
onset
progression
DKD,
driven
changes
community
structure.
Abstract
Recent
advances
in
understanding
the
modulatory
functions
of
gut
and
microbiota
on
human
diseases
facilitated
our
focused
attention
contribution
to
pathophysiological
alterations
many
extraintestinal
organs,
including
liver,
heart,
brain,
lungs,
kidneys,
bone,
skin,
reproductive,
endocrine
systems.
In
this
review,
we
applied
“gut–X
axis”
concept
describe
linkages
between
other
organs
discussed
latest
findings
related
axis,”
underlying
mechanisms
potential
clinical
intervention
strategies.
Frontiers in Microbiology,
Journal Year:
2023,
Volume and Issue:
14
Published: July 27, 2023
Diabetic
nephropathy
(DN)
is
a
severe
microvascular
complication
of
diabetes,
which
increases
the
risk
renal
failure
and
causes
high
global
disease
burden.
Due
to
lack
sustainable
treatment,
DN
has
become
primary
cause
end-stage
worldwide.
Gut
microbiota
its
metabolites
exert
critical
regulatory
functions
in
maintaining
host
health
are
associated
with
many
pathogenesis
aging-related
chronic
diseases.
Currently,
theory
gut–kidney
axis
opened
novel
angle
understand
relationship
between
gut
multiple
kidney
In
recent
years,
accumulating
evidence
revealed
that
their
play
an
essential
role
pathophysiologic
processes
through
axis.
this
review,
we
summarize
current
investigations
microbial
involvement
progression
DN,
further
discuss
potential
microbiota-targeted
therapeutic
approaches
for
DN.
Frontiers in Immunology,
Journal Year:
2023,
Volume and Issue:
14
Published: Jan. 19, 2023
Diabetic
kidney
disease
(DKD)
is
one
of
the
major
microvascular
complications
diabetes
mellitus
and
also
serious
risk
factors
in
cardiovascular
events,
end-stage
renal
disease,
mortality.
DKD
associated
with
diversified,
compositional,
functional
alterations
gut
microbiota.
The
interaction
between
microbiota
host
mainly
achieved
through
metabolites,
which
are
small
molecules
produced
by
microbial
metabolism
from
exogenous
dietary
substrates
endogenous
compounds.
plays
a
critical
role
pathogenesis
producing
multitudinous
metabolites.
Nevertheless,
detailed
mechanisms
its
metabolites
involved
occurrence
development
have
not
been
completely
elucidated.
This
review
summarizes
specific
classes
microbiota-derived
aims
to
explore
molecular
pathophysiology
progression,
recognizes
biomarkers
for
screening,
diagnosis,
prognosis
DKD,
as
well
provides
novel
therapeutic
strategies
DKD.
Obesity Reviews,
Journal Year:
2023,
Volume and Issue:
25(1)
Published: Oct. 9, 2023
Summary
The
present
systematic
review
and
meta‐analysis
aimed
to
summarize
the
associations
between
gut
microbiota
composition
non‐alcoholic
fatty
liver
disease.
To
compare
differences
individuals
with
or
without
NAFLD,
standardized
mean
difference
95%
confidence
interval
were
computed
for
each
α‐diversity
index
relative
abundance
of
microbes.
β‐diversity
indices
summarized
in
a
qualitative
manner.
A
total
54
studies
8894
participants
included.
Overall,
patients
NAFLD
had
moderate
reduction
including
Shannon
(SMD
=
−0.36,
CI
[−0.53,
−0.19],
p
<
0.001)
Chao
1
−0.42,
[−0.68,
−0.17],
0.001),
but
no
significant
found
Simpson,
observed
species,
phylogenetic
diversity,
richness,
abundance‐based
coverage
estimator,
evenness
(
ranged
from
0.081
0.953).
Over
75%
included
reported
β‐diversity.
Although
there
was
substantial
interstudy
heterogeneity,
especially
analyses
at
phylum,
class,
family
levels,
majority
showed
alterations
depletion
anti‐inflammatory
microbes
(i.e.,
Ruminococcaceae
Coprococcus
)
enrichment
proinflammatory
Fusobacterium
Escherichia
NAFLD.
Perturbations
associated
commonly
reflected
by
beneficial
species
an
increase
pathogenic
species.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: March 8, 2024
Objective
Emerging
evidence
has
provided
compelling
linking
gut
microbiota
(GM)
and
diabetic
nephropathy
(DN)
via
the
“gut-kidney”
axis.
But
causal
relationship
between
them
hasn’t
been
clarified
yet.
We
perform
a
Two-Sample
Mendelian
randomization
(MR)
analysis
to
reveal
connection
with
GM
development
of
DN,
type
1
diabetes
(T1DN),
2
(T2DN),
mellitus
(T1DM),
(T2DM).
Methods
used
summary
data
from
MiBioGen
on
211
taxa
in
18340
participants.
Generalized
MR
methods
were
conducted
estimate
their
causality
risk
T1DN,
T2DN,
T1DM
T2DM
FinnGen.
To
ensure
reliability
findings,
comprehensive
set
sensitivity
analyses
confirm
resilience
consistency
results.
Results
It
was
showed
that
Class
Verrucomicrobiae
[odds
ratio
(OR)
=1.5651,
95%CI:1.1810-2.0742,
P
FDR=0.0018],
Order
Verrucomicrobiales
(OR=1.5651,
95%CI:
1.1810-2.0742,
FDR=0.0018)
Family
Verrucomicrobiaceae
(OR=1.3956,
95%CI:1.0336-1.8844,
FDR=0.0296)
had
significant
DN.
Our
found
associations
including
Verrucomimicrobiae
(OR=1.8227,
95%
CI:
1.2414-2.6763,
PFDR=0.0139),
1.8227-2.6764,
PFDR=0.0024),
Rhodospirillales
(OR=1.8226,
1.2412-2.6763,
PFDR=0.0026),
Verrucomicroniaceae
PFDR=0.0083).
The
Eubacteriumprotogenes
(OR=0.4076,
0.2415-0.6882,
PFDR=0.0021)
exhibited
protection
against
T1DN.
Sensitivity
confirmed
there
no
heterogeneity
pleiotropy.
Conclusions
At
gene
prediction
level,
we
identified
specific
is
causally
linked
DN
both
patients.
Moreover,
distinct
microbial
changes
T1DN
differed
those
seen
offering
valuable
insights
into
signatures
associated
subtype
nephropathy.
Biomedicines,
Journal Year:
2023,
Volume and Issue:
11(9), P. 2480 - 2480
Published: Sept. 7, 2023
The
gut
microbiota
(GM)
plays
a
vital
role
in
human
health,
with
increasing
evidence
linking
its
imbalance
to
chronic
kidney
disease
and
end-stage
disease.
Although
the
exact
methods
underlying
kidney-GM
crosstalk
are
not
fully
understood,
interventions
targeting
GM
were
made
lay
three
aspects:
diagnostic,
predictive,
therapeutic
interventions.
While
these
show
promising
results
reducing
uremic
toxins
inflammation,
challenges
remain
form
of
patient-specific
variability,
potential
side
effects,
safety
concerns.
Our
understanding
GMs
is
still
evolving,
necessitating
further
research
elucidate
causal
relationship
mechanistic
interactions.
Personalized
focusing
on
specific
signatures
could
enhance
patient
outcomes.
However,
comprehensive
clinical
trials
needed
validate
approaches’
safety,
efficacy,
feasibility.
Gut Microbes,
Journal Year:
2023,
Volume and Issue:
15(1)
Published: March 7, 2023
Background
The
gut
microbiome
is
altered
in
chronic
kidney
disease
(CKD),
potentially
contributing
to
CKD
progression
and
co-morbidities,
but
population-based
studies
of
the
across
a
wide
range
function
damage
are
lacking.Methods
In
Hispanic
Community
Health
Study/Study
Latinos,
was
assessed
by
shotgun
sequencing
stool
(n
=
2,438;
292
with
suspected
CKD).
We
examined
cross-sectional
associations
estimated
glomerular
filtration
rate
(eGFR),
urinary
albumin:creatinine
(UAC)
ratio,
features.
Kidney
trait-related
features
were
interrogated
for
correlation
serum
metabolites
700),
microbiome-related
trait
prospective
analysis
3,635).Results
Higher
eGFR
associated
overall
composition,
greater
abundance
species
from
Prevotella,
Faecalibacterium,
Roseburia,
Eubacterium,
microbial
functions
related
synthesis
long-chain
fatty
acids
carbamoyl-phosphate.
UAC
ratio
lower
diversity
composition
only
participants
without
diabetes.
Microbiome
better
health
many
(e.g.,
higher
indolepropionate,
beta-cryptoxanthin;
imidazole
propionate,
deoxycholic
acids,
p-cresol
glucuronide).
Imidazole
acid
metabolites,
glucuronide
reductions
and/or
increases
over
~6
y.Conclusions
significant
correlate
microbiome,
while
relationship
depends
on
diabetes
status.
Gut
may
contribute
progression.
Pharmaceutical Biology,
Journal Year:
2024,
Volume and Issue:
62(1), P. 423 - 435
Published: May 17, 2024
Context
Diabetic
kidney
disease
(DKD)
affects
nearly
40%
of
diabetic
patients,
often
leading
to
end-stage
renal
that
requires
replacement
therapies,
such
as
dialysis
and
transplantation.
The
gut
microbiota,
an
integral
aspect
human
evolution,
plays
a
crucial
role
in
this
condition.
Traditional
Chinese
medicine
(TCM)
has
shown
promising
outcomes
ameliorating
DKD
by
addressing
the
microbiota.
Frontiers in Endocrinology,
Journal Year:
2022,
Volume and Issue:
13
Published: Oct. 20, 2022
Gut
microbiota
has
been
reported
to
play
an
important
role
in
diabetic
kidney
disease
(DKD),
however,
the
alterations
of
gut
bacteria
have
not
determined.Studies
comparing
differences
microbiome
between
patients
with
DKD
and
non-DKD
individuals
using
high-throughput
sequencing
technology,
were
systematically
searched
reviewed.
Outcomes
set
as
bacterial
diversity,
microbial
composition,
correlation
clinical
parameters
DKD.
Qualitative
data
summarized
compared
through
a
funnel
R
script,
quantitative
estimated
by
meta-analysis.A
total
15
studies
1640
participants
included,
comparisons
conducted
DKD,
diabetes
mellitus
(DM),
non-diabetic
(NDKD),
healthy
controls.
There
no
significant
α-diversity
DM,
NDKD,
lower
richness
was
found
Different
compositions
subjects.
The
phylum
Actinobacteria
be
enriched
At
genus
level,
we
enrichment
Hungatella,
Bilophila,
Escherichia
showed
abundances
Faecalibacterium
those
NDKD.
genera
Butyricicoccus,
Faecalibacterium,
Lachnospira
depleted
controls,
whereas
Escherichia,
lactobacillus
significantly
enriched.
Ruminococcus
torques
group
demonstrated
inversely
correlated
glomerular
filtration
rate
DKD.Gut
characterized
Hungatella
depletion
butyrate-producing
bacteria,
which
might
associated
occurrence
development
Further
are
still
needed
validate
these
findings,
due
substantial
heterogeneity.https://www.crd.york.ac.uk/prospero/,
identifier
CRD42022340870.