Frontiers in Endocrinology,
Journal Year:
2023,
Volume and Issue:
14
Published: July 4, 2023
Objective
Diabetic
kidney
disease
(DKD)
has
been
reported
as
a
main
microvascular
complication
of
diabetes
mellitus.
Although
renal
biopsy
is
capable
distinguishing
DKD
from
Non
disease(NDKD),
no
gold
standard
validated
to
assess
the
development
DKD.This
study
aimed
build
an
auxiliary
diagnosis
model
for
type
2
(T2DKD)
based
on
machine
learning
algorithms.
Methods
Clinical
data
3624
individuals
with
(T2DM)
was
gathered
January
1,
2019
December
31,
using
multi-center
retrospective
database.
The
fell
into
training
set
and
validation
at
random
ratio
8:2.
To
identify
critical
clinical
variables,
absolute
shrinkage
selection
operator
lowest
number
employed.
Fifteen
models
were
built
support
T2DKD,
optimal
selected
in
accordance
area
under
receiver
operating
characteristic
curve
(AUC)
accuracy.
improved
use
Bayesian
Optimization
methods.
Shapley
Additive
explanations
(SHAP)
approach
used
illustrate
prediction
findings.
Results
diagnosed
1856
(51.2
percent)
within
final
cohort.
As
revealed
by
SHAP
findings,
Categorical
Boosting
(CatBoost)
achieved
performance
1in
risk
AUC
0.86
top
38
characteristics.
findings
suggested
that
simplified
CatBoost
0.84
12
more
basic
features
consisted
systolic
blood
pressure
(SBP),
creatinine
(CREA),
length
stay
(LOS),
thrombin
time
(TT),
Age,
prothrombin
(PT),
platelet
large
cell
(P-LCR),
albumin
(ALB),
glucose
(GLU),
fibrinogen
(FIB-C),
red
distribution
width-standard
deviation
(RDW-SD),
well
hemoglobin
A1C(HbA1C).
Conclusion
A
learning-based
developing
T2DKD
built,
its
effectiveness
verified.
can
contribute
T2DKD.
Clinicians
could
gain
insights
outcomes
if
ML
made
interpretable.
Proceedings of the National Academy of Sciences,
Journal Year:
2019,
Volume and Issue:
116(39), P. 19619 - 19625
Published: Sept. 10, 2019
Diabetic
nephropathy
is
characterized
by
damage
to
both
the
glomerulus
and
tubulointerstitium,
but
relatively
little
known
about
accompanying
cell-specific
changes
in
gene
expression.
We
performed
unbiased
single-nucleus
RNA
sequencing
(snRNA-seq)
on
cryopreserved
human
diabetic
kidney
samples
generate
23,980
transcriptomes
from
3
control
early
samples.
All
major
cell
types
of
were
represented
final
dataset.
Side-by-side
comparison
demonstrated
cell-type-specific
expression
that
are
important
for
ion
transport,
angiogenesis,
immune
activation.
In
particular,
we
show
thick
ascending
limb,
late
distal
convoluted
tubule,
principal
cells
all
adopt
a
signature
consistent
with
increased
potassium
secretion,
including
alterations
Na+/K+-ATPase,
WNK1,
mineralocorticoid
receptor,
NEDD4L
expression,
as
well
decreased
paracellular
calcium
magnesium
reabsorption.
also
identify
strong
angiogenic
signatures
glomerular
types,
proximal
cells.
Taken
together,
these
results
suggest
secretion
signaling
represent
responses
nephropathy.
Signal Transduction and Targeted Therapy,
Journal Year:
2023,
Volume and Issue:
8(1)
Published: April 10, 2023
Abstract
Vascular
complications
of
diabetes
pose
a
severe
threat
to
human
health.
Prevention
and
treatment
protocols
based
on
single
vascular
complication
are
no
longer
suitable
for
the
long-term
management
patients
with
diabetes.
Diabetic
panvascular
disease
(DPD)
is
clinical
syndrome
in
which
vessels
various
sizes,
including
macrovessels
microvessels
cardiac,
cerebral,
renal,
ophthalmic,
peripheral
systems
diabetes,
develop
atherosclerosis
as
common
pathology.
Pathological
manifestations
DPDs
usually
manifest
macrovascular
atherosclerosis,
well
microvascular
endothelial
function
impairment,
basement
membrane
thickening,
microthrombosis.
Cardiac,
microangiopathy
coexist
microangiopathy,
while
renal
retinal
predominantly
microangiopathic.
The
following
associations
exist
between
DPDs:
numerous
similar
molecular
mechanisms,
risk-predictive
relationships
diseases.
Aggressive
glycemic
control
combined
early
comprehensive
intervention
key
prevention
treatment.
In
addition
widely
recommended
metformin,
glucagon-like
peptide-1
agonist,
sodium-glucose
cotransporter-2
inhibitors,
latest
aldose
reductase
peroxisome
proliferator-activated
receptor-γ
agonizts,
glucokinases
mitochondrial
energy
modulators,
etc.
under
active
development.
proposed
obtain
more
systematic
care
requires
center
focusing
This
would
leverage
advantages
cross-disciplinary
approach
achieve
better
integration
pathogenesis
therapeutic
evidence.
Such
strategy
confer
benefits
promote
development
DPD
discipline.
Journal of the American Society of Nephrology,
Journal Year:
2019,
Volume and Issue:
30(10), P. 2000 - 2016
Published: Sept. 19, 2019
Significance
Statement
Although
studies
show
that
diabetic
kidney
disease
has
a
heritable
component,
searches
for
the
genetic
determinants
of
this
complication
diabetes
have
had
limited
success.
In
study,
new
international
genomics
consortium,
JDRF
funded
Diabetic
Nephropathy
Collaborative
Research
Initiative,
assembled
nearly
20,000
samples
from
participants
with
type
1
diabetes,
and
without
disease.
The
authors
found
16
disease–associated
loci
at
genome-wide
significance.
strongest
signal
centers
on
protective
missense
coding
variant
COL4A3
,
gene
encodes
component
glomerular
basement
membrane
that,
when
mutated,
causes
progressive
inherited
nephropathy
Alport
syndrome.
These
GWAS-identified
risk
may
provide
insights
into
pathogenesis
help
identify
potential
biologic
targets
prevention
treatment.
Background
demonstrates
both
familial
clustering
single
nucleotide
polymorphism
heritability,
specific
factors
influencing
remain
largely
unknown.
Methods
To
variants
predisposing
to
disease,
we
performed
association
study
(GWAS)
analyses.
Through
collaboration
Diabetes
large
collection
cohorts
harmonized
phenotypes.
We
used
spectrum
ten
definitions
based
albuminuria
renal
function.
Results
Our
GWAS
meta-analysis
included
results
up
19,406
individuals
European
descent
diabetes.
identified
significant
loci.
(rs55703767)
is
common
mutation
in
collagen
IV
alpha
3
chain
(
COL4A3)
gene,
which
major
structural
(GBM).
Mutations
are
implicated
nephropathies,
including
rs55703767
minor
allele
(Asp326Tyr)
against
several
ESKD,
demonstrated
GBM
width;
carriers
thinner
before
any
signs
its
effect
was
dependent
glycemia.
Three
other
or
near
genes
known
suggestive
involvement
condition
BMP7)
biology
COLEC11
DDR1
).
Conclusions
novel
Diabetes & Metabolism Journal,
Journal Year:
2022,
Volume and Issue:
46(2), P. 181 - 197
Published: March 25, 2022
Although
diabetic
kidney
disease
(DKD)
remains
the
leading
cause
of
end-stage
eventually
requiring
chronic
replacement
therapy,
prevalence
DKD
has
failed
to
decline
over
past
30
years.
In
order
reduce
prevalence,
extensive
research
been
ongoing
improve
prediction
onset
and
progression.
most
commonly
used
markers
are
albuminuria
estimated
glomerular
filtration
rate,
their
limitations
have
encouraged
researchers
search
for
novel
biomarkers
that
could
risk
stratification.
Considering
is
a
complex
process
involves
several
pathophysiologic
mechanisms
such
as
hyperglycemia
induced
inflammation,
oxidative
stress,
tubular
damage,
damage
fibrosis,
many
capture
one
specific
mechanism
developed.
Moreover,
increasing
use
high-throughput
omic
approaches
analyze
biological
samples
include
proteomics,
metabolomics,
transcriptomics
emerged
strong
tool
in
biomarker
discovery.
This
review
will
first
describe
recent
advances
understanding
pathophysiology
DKD,
second,
current
clinical
well
status
multiple
potential
with
respect
protein
biomarkers,
transcriptomics.
Frontiers in Endocrinology,
Journal Year:
2024,
Volume and Issue:
14
Published: Jan. 4, 2024
Aims
This
investigation
examined
the
possibility
of
a
relationship
between
neutrophil-to-lymphocyte
ratio
(NLR)
and
diabetic
kidney
disease
(DKD)
in
type
2
diabetes
mellitus
(T2DM)
patients.
Methods
Adults
with
T2DM
who
were
included
National
Health
Nutrition
Examination
Survey
(NHANES)
1999
2020
subjects
current
cross-sectional
investigation.
Low
estimated
glomerular
filtration
rate
(eGFR)
(<
60
mL/min/1.73
m
)
or
albuminuria
(urinary
albumin-to-creatinine
(ACR)
≥
30
mg/g)
patients
diagnostic
criteria
for
DKD.
Weighted
multivariable
logistic
regression
models
generalized
additive
used
to
investigate
independent
relationships
NLR
levels
DKD,
albuminuria,
low-eGFR.
Additionally,
we
low-eGFR
other
inflammatory
markers,
such
as
aggregate
index
systemic
inflammation
(AISI),
immune-inflammation
(SII),
system
response
(SIRI),
platelet-to-lymphocyte
(PLR)
monocyte-to-lymphocyte
(MLR).
Their
capabilities
evaluated
contrasted
using
receiver
operating
characteristic
(ROC)
curves.
Results
44.65%
7,153
participants
recruited
this
study
males.
prevalent
31.76%,
23.08%,
14.55%
cases,
respectively.
Positive
correlations
seen
prevalences
Subgroup
analysis
interaction
tests
revealed
that
associations
not
significantly
different
across
populations.
In
addition,
MLR,
SII
SIRI
showed
positive
prevalence
ROC
discovered
when
compared
markers
(MLR,
PLR,
SII,
SIRI,
AISI),
may
demonstrate
more
discriminatory
power
accuracy
assessing
risk
Conclusion
Compared
serve
effective
potential
marker
identifying
US
elevated
NLR,
should
be
closely
monitored
their
renal
function.
Journal of the American Society of Nephrology,
Journal Year:
2020,
Volume and Issue:
32(1), P. 115 - 126
Published: Oct. 29, 2020
Although
diabetic
kidney
disease
is
the
leading
cause
of
ESKD
in
United
States,
identifying
those
patients
who
progress
to
difficult.
Efforts
are
under
way
determine
if
plasma
biomarkers
can
help
identify
these
high-risk
individuals.In
our
case-cohort
study
894
Chronic
Renal
Insufficiency
Cohort
Study
participants
with
diabetes
and
an
eGFR
<60
ml/min
per
1.73
m2
at
baseline,
were
randomly
selected
for
subcohort;
cases
developed
progressive
(ESKD
or
40%
decline).
Using
a
multiplex
system,
we
assayed
related
tubular
injury,
inflammation,
fibrosis
(KIM-1,
TNFR-1,
TNFR-2,
MCP-1,
suPAR,
YKL-40).
Weighted
Cox
regression
models
progression
disease,
mixed-effects
estimated
biomarker
relationships
rate
change.Median
follow-up
was
8.7
years.
Higher
concentrations
KIM-1,
YKL-40
each
associated
greater
risk
even
after
adjustment
established
clinical
factors.
After
accounting
competing
biomarkers,
remained
disease;
TNFR-2
had
highest
(adjusted
hazard
ratio,
1.61;
95%
CI,
1.15
2.26).
decline.Higher
levels
increased
other
biomarkers.
These
findings
validate
previous
literature
on
KIM-1
prevalent
CKD
provide
new
insights
into
influence
suPAR
as
that
require
validation.
Journal of the American Society of Nephrology,
Journal Year:
2019,
Volume and Issue:
30(10), P. 1980 - 1990
Published: Sept. 10, 2019
Significance
Statement
Findings
in
animal
models
of
diabetic
kidney
disease
identified
selonsertib,
a
selective
inhibitor
apoptosis
signal–regulating
kinase
1
(ASK1),
as
potential
therapeutic
agent.
In
randomized,
dose-ranging,
placebo-controlled
phase
2
trial
evaluating
selonsertib’s
safety
and
efficacy
patients
with
moderate-to-advanced
disease,
the
authors
found
that
selonsertib
appeared
safe,
no
dose-dependent
adverse
effects
over
48
weeks,
including
for
18-mg
daily
dose
thought
to
maximally
inhibit
ASK1.
Although
did
not
meet
its
primary
end
point
change
eGFR
from
baseline
week
48,
acute
related
inhibition
creatinine
secretion
by
confounded
differences
eGFR.
Exploratory
post
hoc
analyses
accounting
these
suggest
resulted
reduction
function
decline
merits
further
study.
Background
Apoptosis
signal-regulating
(ASK1)
activation
glomerular
tubular
cells
resulting
oxidative
stress
may
drive
progression.
ASK1
inhibitor,
Methods
adults
type
diabetes
treatment-refractory
we
randomly
assigned
333
1:1:1:1
allocation
(oral
doses
2,
6,
or
18
mg)
placebo.
Primary
outcome
was
at
weeks.
Results
Selonsertib
mean
placebo
groups
differ
significantly
Because
this
unanticipated
effect,
used
piecewise
linear
regression,
finding
two
effects:
an
more
pronounced
0
4
weeks
(creatinine
effect)
attenuated
between
(therapeutic
higher
selonsertib.
A
analysis
(excluding
data
20
sites
Good
Clinical
Practice
compliance–related
issues)
rate
reduced
71%
group
relative
(difference
3.11±1.53
ml/min
per
1.73
m
annualized
year;
95%
confidence
interval,
0.10–6.13;
nominal
P
=0.043).
Effects
on
urine
albumin-to-creatinine
ratio
Conclusions
endpoint,
exploratory
slow
International Journal of Molecular Sciences,
Journal Year:
2021,
Volume and Issue:
22(9), P. 4824 - 4824
Published: May 1, 2021
Diabetes
mellitus
represents
a
growing
concern,
both
for
public
economy
and
global
health.
In
fact,
it
can
lead
to
insidious
macrovascular
microvascular
complications,
impacting
negatively
on
patients’
quality
of
life.
Diabetic
patients
often
present
diabetic
kidney
disease
(DKD),
burdensome
complication
that
be
silent
years.
The
average
time
onset
impairment
in
is
about
7–10
clinical
impact
DKD
dangerous
not
only
the
risk
progression
end-stage
renal
therefore
replacement
therapies,
but
also
because
associated
increase
cardiovascular
events.
An
early
recognition
factors
decisive
decreasing
morbidity
mortality.
presents
patient-related,
clinician-related,
system-related
issues.
All
these
problems
are
translated
into
therapeutic
inertia,
which
defined
as
failure
initiate
or
intensify
therapy
according
evidence-based
guidelines.
Therapeutic
inertia
resolved
by
multidisciplinary
pool
healthcare
experts.
timing
intensification
treatment,
transition
best
therapy,
dietetic
strategies
must
provided
team,
driving
glycemic
target
delaying
overcoming
DKD-related
complications.
A
timely
nephrological
evaluation
guarantee
adequate
information
choose
right
at
case
progression.
International Journal of Molecular Sciences,
Journal Year:
2022,
Volume and Issue:
23(15), P. 8668 - 8668
Published: Aug. 4, 2022
The
inflammatory
component
of
diabetic
kidney
disease
has
become
great
interest
in
recent
years,
with
genetic
and
epigenetic
variants
playing
a
fundamental
role
the
initiation
progression
disease.
Cells
innate
immune
system
play
major
pathogenesis
disease,
lesser
contribution
from
adaptive
cells.
Other
components
such
as
complement
also
role,
well
specific
cytokines
chemokines.
is
an
active
research
field,
hope
to
find
potential
innovative
therapeutic
targets.
Diabetologia,
Journal Year:
2022,
Volume and Issue:
65(11), P. 1867 - 1882
Published: June 21, 2022
Abstract
Individuals
with
diabetes
face
higher
risks
for
macro-
and
microvascular
complications
than
their
non-diabetic
counterparts.
The
concept
of
precision
medicine
in
aims
to
optimise
treatment
decisions
individual
patients
reduce
the
risk
major
diabetic
complications,
including
cardiovascular
outcomes,
retinopathy,
nephropathy,
neuropathy
overall
mortality.
In
this
context,
prognostic
models
can
be
used
estimate
an
individual’s
relevant
based
on
profiles.
This
review
place
prediction
modelling
into
context
prognostics.
As
opposed
identification
subsets,
development
models,
selection
predictors
longitudinal
association
outcome
interest
discriminatory
ability,
allows
estimation
absolute
complications.
a
consequence,
such
provide
information
about
potential
patient
subgroups
needs.
provides
insight
methodological
issues
specifically
related
validation
We
summarise
existing
commonly
included
predictors,
examples
available
studies.
also
discusses
non-classical
markers
omics-based
predictors.
Finally,
it
gives
requirements
challenges
clinical
applications
implementation
developed
predictions
medical
decision
making.
Graphical
abstract