Renal Failure,
Journal Year:
2025,
Volume and Issue:
47(1)
Published: Feb. 17, 2025
Background
Diabetic
Kidney
Disease
(DKD)
is
a
common
complication
in
patients
with
diabetes,
and
its
pathogenesis
remains
incompletely
understood.
Recent
studies
have
suggested
that
extracellular
vesicles
(EVs)
may
play
significant
role
the
initiation
progression
of
DKD.
This
study
aimed
to
identify
biomarkers
associated
EVs
DKD
through
bioinformatics
Mendelian
randomization
(MR)
analysis.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 13, 2024
Abstract
To
investigate
the
screening
and
predicting
functions
of
obesity-
lipid-related
indices
for
type
2
diabetes
(T2D)
in
middle-aged
elderly
Chinese,
as
well
ideal
predicted
cut-off
value.
This
study's
data
comes
from
2011
China
Health
Retirement
Longitudinal
Study
(CHARLS).
A
cross-sectional
study
design
was
used
to
relationship
T2D
13
indices,
including
body
mass
index
(BMI),
waist
circumference
(WC),
waist–height
ratio
(WHtR),
visceral
adiposity
(VAI),
a
shape
(ABSI),
roundness
(BRI),
lipid
accumulation
product
(LAP),
conicity
(CI),
Chinese
(CVAI),
triglyceride-
glucose
(TyG
index)
its
correlation
(TyG-BMI,
TyG-WC,
TyG-WHtR).
The
unadjusted
adjusted
correlations
between
were
assessed
using
binary
logistic
regression
analysis.
receiver
operating
characteristic
curve
(ROC)
determine
usefulness
anthropometric
determining
their
cut‑off
value,
sensitivity,
specificity,
area
under
(AUC).
comprised
9488
people
aged
45
years
or
above
total,
whom
4354
(45.89%)
males
5134
(54.11%)
females.
Among
them
716
male
cases
(16.44%)
870
female
(16.95%).
total
independently
associated
with
risk
after
confounding
factors
(
P
<
0.05).
According
ROC
analysis,
TyG
best
predictor
among
(AUC
=
0.780,
95%
CI
0.761,
0.799)
females
0.782,
0.764,
0.799).
AUC
values
indicators
higher
than
0.5,
indicating
that
they
have
predictive
Chinese.
can
predict
middle‑aged
indicators,
is
both
TyG-BMI,
TyG-WHtR,
LAP,
CVAI
all
outperformed
BMI,
WC,
WHtR
T2D.
Drug Development Research,
Journal Year:
2025,
Volume and Issue:
86(1)
Published: Jan. 12, 2025
ABSTRACT
Naringenin
has
the
potential
to
regulate
ferroptosis
and
mitigate
renal
damage
in
diabetic
nephropathy
(DN).
However,
it
remains
unclear
whether
naringenin's
effects
DN
are
linked
its
ability
ferroptosis.
This
study
investigated
anti‐ferroptosis
properties
of
naringenin
high
glucose
(HG)‐induced
tubular
epithelial
cell
models.
HK‐2
cells
were
cultured
HG
medium
establish
model.
treated
with
different
doses
explore
effect
naringenin.
The
CCK‐8
results
show
that
50
μM
~
200
do
not
affect
viability
HG‐induced
increase
a
dose‐dependent
manner
treatment.
Additionally,
increased
levels
IL‐10
while
decreasing
IL‐1β,
TNF‐α,
IL‐6,
ROS
cells.
also
reduced
Fe
2+
,
oxidized
lipid
ROS,
MDA,
4‐HNE,
ACSL4,
TFR1
cells,
increasing
non‐oxidized
SOD,
GSH‐Px,
SLC7A11,
GPX4.
Meanwhile,
restored
MMP,
ATP
MPTP
opening,
OCR
Furthermore,
reversed
decreased
expression
SIRT1,
p‐FOXO3a,
Nrf2
Nuclear
caused
by
HG.
SIRT1
inhibitor
EX527
ML385
attenuated
on
demonstrating
stronger
reversal
than
ML385.
These
suggest
inhibits
mainly
through
SIRT1/FOXO3a
signaling
pathway.
finding
further
enhanced
our
understanding
mechanism
behind
protective
DN.
Biomolecules,
Journal Year:
2023,
Volume and Issue:
13(4), P. 633 - 633
Published: March 31, 2023
Diabetic
kidney
disease
(DKD)
is
a
highly
prevalent
condition
worldwide.
It
represents
one
of
the
most
common
complications
arising
from
diabetes
mellitus
(DM)
and
leading
cause
end-stage
(ESKD).
Its
development
involves
three
fundamental
components:
hemodynamic,
metabolic,
inflammatory
axes.
Clinically,
persistent
albuminuria
in
association
with
progressive
decline
glomerular
filtration
rate
(GFR)
defines
this
disease.
However,
as
these
alterations
are
not
specific
to
DKD,
there
need
discuss
novel
biomarkers
its
pathogenesis
which
may
aid
diagnosis,
follow-up,
therapeutic
response,
prognosis
Future Internet,
Journal Year:
2023,
Volume and Issue:
15(11), P. 370 - 370
Published: Nov. 18, 2023
Edge
AI,
an
interdisciplinary
technology
that
enables
distributed
intelligence
with
edge
devices,
is
quickly
becoming
a
critical
component
in
early
health
prediction.
AI
encompasses
data
analytics
and
artificial
(AI)
using
machine
learning,
deep
federated
learning
models
deployed
executed
at
the
of
network,
far
from
centralized
centers.
careful
analysis
large
datasets
derived
multiple
sources,
including
electronic
records,
wearable
demographic
information,
making
it
possible
to
identify
intricate
patterns
predict
person’s
future
health.
Federated
novel
approach
further
enhances
this
prediction
by
enabling
collaborative
training
on
devices
while
maintaining
privacy.
Using
computing,
can
be
processed
analyzed
locally,
reducing
latency
instant
decision
making.
This
article
reviews
role
highlights
its
potential
improve
public
Topics
covered
include
use
algorithms
for
detection
chronic
diseases
such
as
diabetes
cancer
computing
detect
spread
infectious
diseases.
In
addition
discussing
challenges
limitations
prediction,
emphasizes
research
directions
address
these
concerns
integration
existing
healthcare
systems
explore
full
technologies
improving
Molecular Biology Reports,
Journal Year:
2024,
Volume and Issue:
51(1)
Published: Jan. 28, 2024
Abstract
D-ribose,
an
ubiquitous
pentose
compound
found
in
all
living
cells,
serves
as
a
vital
constituent
of
numerous
essential
biomolecules,
including
RNA,
nucleotides,
and
riboflavin.
It
plays
crucial
role
various
fundamental
life
processes.
Within
the
cellular
milieu,
exogenously
supplied
D-ribose
can
undergo
phosphorylation
to
yield
ribose-5-phosphate
(R-5-P).
This
R-5-P
dual
purpose:
it
not
only
contributes
adenosine
triphosphate
(ATP)
production
through
nonoxidative
phase
phosphate
pathway
(PPP)
but
also
participates
nucleotide
synthesis.
Consequently,
is
employed
both
therapeutic
agent
for
enhancing
cardiac
function
heart
failure
patients
remedy
post-exercise
fatigue.
Nevertheless,
recent
clinical
studies
have
suggested
potential
link
between
metabolic
disturbances
type
2
diabetes
mellitus
(T2DM)
along
with
its
associated
complications.
Additionally,
certain
vitro
experiments
indicated
that
exogenous
exposure
could
trigger
apoptosis
specific
cell
lines.
article
comprehensively
reviews
current
advancements
D-ribose’s
digestion,
absorption,
transmembrane
transport,
intracellular
pathways,
impact
on
behaviour,
elevated
levels
mellitus.
identifies
areas
requiring
further
investigation.
Frontiers in Pharmacology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 20, 2025
Introduction
Diabetic
nephropathy
(DN),
a
major
complication
of
diabetes,
presents
with
poor
clinical
outcomes
and
affects
patients
throughout
their
lifetime.
α-Methyltryptophan
(α-MT)
is
blocker
the
amino
acid
transporter.
SLC6A14
also
an
inhibitor
indoleamine
2,3-dioxygenase-1
(IDO1).
Methods
In
this
study,
we
employed
nuclear
magnetic
resonance-based
metabolomic
approach
to
investigate
therapeutic
effects
α-MT
in
db/db
mouse
model
DN
explore
underlying
molecular
mechanisms.
Results
The
results
study
demonstrated
that
significantly
reduced
urinary
excretion
albumin
creatinine,
improved
kidney
function,
decreased
renal
fibrosis
mice.
Metabolomic
analyses
tissues
urine
samples
indicated
mice
displayed
increased
activity
enzyme
IDO1,
alongside
pronounced
metabolic
disturbances.
These
disturbances
are
chiefly
characterized
by
alterations
metabolism,
energy
production
pathways,
membrane
biochemical
features,
nicotinamide
all
which
have
been
implicated
mTOR
signaling
apoptotic
pathways.
Discussion
Administration
showed
evidence
IDO1
inhibition
rectification
dysfunctions
concurrent
suppression
apoptosis.
findings
highlight
potential
as
promising
agent
for
diabetic
nephropathy.
The
quality
of
fats
in
the
diet
affects
development
chronic
kidney
disease.
In
this
study,
we
aimed
to
understand
relationship
between
dietary
fat
markers
and
risk
diabetic
nephropathy
(DN)
patients
with
Type
2
diabetes
(T2DM).In
case
retrospective
309
T2DM
(151
DN,
158
without
DN)
were
included.
A
147
item
questionnaire
measuring
food
frequency
International
Physical
Activity
Questionnaire
(IPAQ)
used.
Anthropometric
indices,
biochemical
factors
measured
or
recorded
from
patient's
files.
Quantitative
Insulin
Sensitivity
Check
Index
(QUICKI),
Homeostatic
Model
Assessment
for
Resistance
(HOMA-IR),
atherogenic,
thrombogenic,
lipophilic
indices
calculated.
Modified
nutritionist
IV
software
USDA
composition
table
Odds
ratios
(OR)
95%
confidence
intervals
(CI)
obtained
using
a
case-control
design.
Age,
BMI,
energy
1
physical
activity,
blood
glucose,
level
insulin,
lipid
profile,
creatinine
level,
CRP
adjusted
as
interventions
2.
Compared
control
subjects,
had
significantly
higher
body
mass
index
(BMI),
fasting
sugar
(FBS),
total
cholesterol
(TC),
triglyceride
(TG),
low-density
lipoprotein
(LDL-C)
well
lower
intakes
energy,
carbohydrates,
mono-and
polyunsaturated
fatty
acids,
fiber,
compared
controls.
After
adjustment
possible
confounders,
highest
quartile
atherogenic
(OR:
3.49,
CI:
1.65-7.41),
thrombogenic
4.3,
1.86-8.72),
3.50,
1.62-7.52)
odds
DN
than
those
lowest
quartile.
There
was
considerable
(including
indices)
chance
developing
nephropathy.
Therapeutic Apheresis and Dialysis,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 21, 2025
The
aim
of
this
study
was
to
determine
the
relationship
between
albuminuria
and
neutrophil-to-lymphocyte
ratio
(NLR),
platelet-to-lymphocyte
(PLR)
monocyte-to-high
density
lipoprotein-cholesterol
(MHR).
Patients
with
type
2
diabetes
mellitus
diagnosis,
aged
over
18,
had
estimated
glomerular
filtration
rate
(eGFR)
≥60
mL/dk/1.73
m2
included.
were
divided
into
groups
according
ACR
values:
<30
mg/g
(group
1),
30-300
2)
>300
3).
We
examined
whether
there
a
significant
difference
in
NLR,
PLR,
MHR
among
three
groups.
A
total
360
patients
included
study.
NLR
significantly
higher
group
3
than
1
(p
=
0.016).
There
no
PLR
or
0.312
p
0.687,
respectively).
detected
comparison
without
diabetic
nephropathy,
but
0.028;
0.950
0.389,
correlated
creatinine
(r:
0.166,
0.002;
r:
0.144,
0.006,
positively
0.25.3,
0.016,
nephropathy
non-diabetic
group.
This
may
suggest
that
can
be
used
as
prognostic
marker
nephropathy.
Although
albuminuria,
negatively
eGFR.
Therefore,
useful
monitoring
development
progression
chronic
kidney
disease
rather
early
stages.
However,
further
studies
are
needed.