Advances in Understanding Biomarkers and Treating Neurological Diseases -Role of the Cerebellar Dysfunction and Emerging Therapies
Ageing Research Reviews,
Год журнала:
2024,
Номер
unknown, С. 102519 - 102519
Опубликована: Сен. 1, 2024
Язык: Английский
Association between lipoprotein(a) and diabetic peripheral neuropathy in patients with type 2 diabetes: a meta-analysis
Diabetology & Metabolic Syndrome,
Год журнала:
2025,
Номер
17(1)
Опубликована: Март 4, 2025
Diabetic
peripheral
neuropathy
(DPN)
is
a
common
complication
of
type
2
diabetes
(T2D).
Lipoprotein(a)
[Lp(a)],
known
cardiovascular
risk
factor,
has
been
hypothesized
to
influence
the
development
DPN.
This
meta-analysis
aimed
investigate
relationship
between
Lp(a)
levels
and
DPN
in
patients
with
T2D.
Following
PRISMA
2020
guidelines,
systematic
search
PubMed,
Embase,
Web
Science,
Wanfang,
CNKI
databases
was
performed
up
October
12,
2024.
Observational
studies
assessing
blood
T2D
without
or
evaluating
association
were
included.
Data
synthesis
utilized
random-effects
model
calculate
standardized
mean
differences
(SMDs)
odds
ratios
(ORs)
corresponding
95%
confidence
intervals
(CIs).
Eleven
18,022
Patients
had
significantly
higher
than
those
(SMD:
0.10,
CI:
0.02–0.19,
p
=
0.01;
I²
43%).
High
associated
(OR:
1.31,
1.07–1.60,
0.009;
62%).
Subgroup
analyses
according
study
design,
age
patients,
methods
for
measuring
concentration,
cutoff
values
high
Lp(a),
quality
scores
showed
consistent
results
(p
subgroup
difference
all
>
0.05).
A
from
Asian
countries,
but
not
European
countries
0.001).
Elevated
are
particularly
countries.
Язык: Английский
Causal Association Between Cholesterol‐Lowering Drugs and Diabetic Microvascular Complications: A Drug‐Target Mendelian Randomization Study
Journal of Diabetes Research,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
Background:
It
remains
unclear
whether
cholesterol-lowering
therapy
can
reduce
the
incidence
of
microvascular
complications
in
patients
with
diabetes.
We
aim
to
explore
potential
causal
relationship
between
three
common
types
drugs
and
diabetic
through
drug-target
Mendelian
randomization
(MR)
study,
laying
groundwork
for
development
new
medications.
Methods:
In
this
we
collected
single
nucleotide
polymorphisms
(SNPs)
associated
HMGCR
(3-hydroxy-3-methylglutaryl-CoA
reductase)
inhibitors,
PCSK9
(proprotein
convertase
subtilisin/kexin
type
9)
NPC1L1
(Niemann-Pick
C1-Like
1)
inhibitors
from
published
genome-wide
association
study
statistics.
Subsequently,
MR
analyses
were
performed
investigate
effects
these
on
low-density
lipoprotein
cholesterol
(LDL-C)
level-mediated
diabetes
mellitus.
Coronary
atherosclerosis
as
a
positive
control.
Primary
outcomes
included
nephropathy,
retinopathy,
neuropathy
FinnGen
Consortium.
Results:
The
analysis
revealed
significant
associations
inhibition
increased
risks
nephropathy
(OR
[95%confidence
interval
(CI)]
=
1.88
[1.50,
2.36],
p
5.55
×
10-8),
retinopathy
[95%CI]
1.86
[1.54,
2.24],
6.28
10-11),
2.63
[1.84,
3.75],
1.14
10-7)
using
inverse
variance
weighted
method.
have
been
an
risk
1.30
[1.07,
1.58],
0.009)
1.40
[1.15,
1.72],
0.001);
significantly
0.48
[0.28,
0.85],
0.01).
coronary
heart
disease
Conclusions:
findings
show
that
may
increase
complications.
However,
provide
protection
against
retinopathy.
Язык: Английский
What does nerve ultrasound contribute to the evaluation of diabetic polyneuropathy over time? A prospective follow-up observational study of people with type 2 diabetes
Diabetes Research and Clinical Practice,
Год журнала:
2025,
Номер
unknown, С. 112115 - 112115
Опубликована: Март 1, 2025
Язык: Английский
Early diagnosis and risk factors of diabetic peripheral neuropathy in type 1 diabetes: insights from current perception threshold testing
Frontiers in Endocrinology,
Год журнала:
2025,
Номер
16
Опубликована: Март 31, 2025
This
study
investigates
nerve
fiber
dysfunction
in
type
1
diabetes
(T1D)
patients
and
identifies
risk
factors
for
diabetic
peripheral
neuropathy
(DPN).
It
evaluates
the
relationship
between
current
perception
threshold
(CPT)
tests
conduction
velocity
(NCV),
assesses
CPT's
diagnostic
accuracy
early
DPN
detection.
enrolled
110
with
T1D
26
healthy
controls
January
2020
December
2021,
accordance
predefined
inclusion/exclusion
criteria.
CPT
testing
at
2000
Hz,
250
5
Hz
assessed
Aβ,
Aδ,
C
function,
while
NCV
was
measured
47
patients.
Subgroups
were
stratified
by
disease
duration
(>5
years
vs
≤5
years).
Multivariate
logistic
regression
identified
factors,
CPT-NCV
correlation
analyzed
using
Chi-square
Kappa
tests.
Receiver
operating
characteristic
(ROC)
curves
evaluated
efficacy.
The
incidence
of
78%,
no
significant
difference
subgroups
(78.3%
vs.
78.0%).
Neurological
abnormalities
significantly
more
common
lower
extremities
compared
to
upper
(67.27%
49.09%,
P
<
0.05).
analysis
revealed
that
a
waist-to-hip
ratio
(WHR)
greater
than
0.85
an
independent
factor
(OR
=
3.01,
95%
CI:
1.03-8.80,
Patients
>5
demonstrated
higher
2000Hz
abnormality
rates
(68.09%
46.15%,
0.05)
severe
neurological
lesions
(57.45%
35.90%,
In
contrast,
those
exhibited
elevated
5Hz
(30.77%
10.64%,
predominantly
milder
(56.41%
31.91%,
Statistical
analyses
association
(P<0.001),
moderate
consistency
further
supported
Cohen's
Test
(κ=0.515,
P<0.001).
ROC
curve
detecting
5Hz,
area
under
(AUC)
0.723.
showed
unmyelinated
(C)
fibers
detection,
routine
screening
high-risk
groups
(central
obesity/short
duration)
enables
timely
intervention
prevent
irreversible
damage.
Язык: Английский
Diabetes Mellitus and Associated Vascular Disease: Pathogenesis, Complications, and Evolving Treatments
Advances in Therapy,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 19, 2025
Diabetes
mellitus
is
a
metabolic
disorder,
characterized
by
elevated
blood
sugar
levels
(hyperglycemia)
and
insulin
dysregulation.
This
disease
associated
with
morbidity
mortality,
including
significant
potential
vascular
complications.
High
of
hyperglycemia
lead
to
not
only
reactive
oxygen
species
but
also
advanced
glycation
end
products,
which
are
detrimental
the
endothelium
reduce
protective
compounds
such
as
nitric
oxide
prostacyclin.
damage
contributes
development
both
macrovascular
microvascular
The
present
investigation
explores
pathophysiological
mechanisms
diabetic
complications
evaluates
current
management
strategies,
lifestyle
modifications,
pharmacological
treatments,
emerging
therapies.
review
underscores
importance
ongoing
progress
in
diabetes
patient
education
optimal
patient-health
outcomes
quality
life
for
individuals
mellitus.
Язык: Английский
Diabetic neuropathy: cutting-edge research and future directions
Signal Transduction and Targeted Therapy,
Год журнала:
2025,
Номер
10(1)
Опубликована: Апрель 24, 2025
Abstract
Diabetic
neuropathy
(DN)
is
a
prevalent
and
debilitating
complication
of
diabetes
mellitus,
significantly
impacting
patient
quality
life
contributing
to
morbidity
mortality.
Affecting
approximately
50%
patients
with
diabetes,
DN
predominantly
characterized
by
distal
symmetric
polyneuropathy,
leading
sensory
loss,
pain,
motor
dysfunction,
often
resulting
in
diabetic
foot
ulcers
lower-limb
amputations.
The
pathogenesis
multifaceted,
involving
hyperglycemia,
dyslipidemia,
oxidative
stress,
mitochondrial
inflammation,
which
collectively
damage
peripheral
nerves.
Despite
extensive
research,
disease-modifying
treatments
remain
elusive,
current
management
primarily
focusing
on
symptom
control.
This
review
explores
the
complex
mechanisms
underlying
highlights
recent
advances
diagnostic
therapeutic
strategies.
Emerging
insights
into
molecular
cellular
pathways
have
unveiled
potential
targets
for
intervention,
including
neuroprotective
agents,
gene
stem
cell
therapies,
innovative
pharmacological
approaches.
Additionally,
novel
tools,
such
as
corneal
confocal
microscopy
biomarker-based
tests,
improved
early
detection
intervention.
Lifestyle
modifications
multidisciplinary
care
strategies
can
enhance
outcomes.
While
significant
progress
has
been
made,
further
research
required
develop
therapies
that
effectively
halt
or
reverse
disease
progression,
ultimately
improving
lives
individuals
DN.
provides
comprehensive
overview
understanding
future
directions
management.
Язык: Английский
Thermography, Temperature, Pressure Force Distribution and Physical Activity in Diabetic Foot: A Systematic Review
Applied Sciences,
Год журнала:
2024,
Номер
14(19), С. 8726 - 8726
Опубликована: Сен. 27, 2024
One
of
the
most
significant
complications
diabetes
mellitus
is
diabetic
sensory
neuropathy.
A
reduction
in
pain
perception
increases
risk
patients
developing
foot
ulcers
and
requiring
amputation,
which
turn
results
impaired
mobility
a
diminished
quality
life.
Despite
recent
advances
our
understanding
aetiology
(DFUs),
there
remains
gap
clinical
prevention
management
these
ulcers.
Given
that
inflammation
represents
initial
stage
formation
skin
wounds,
utilisation
infrared
thermography
for
early
detection
inflammatory
tissue,
analysis
plantar
pressures
monitoring
controlled
physical
activity
(PA)
may
facilitate
close
observation
alterations
are
susceptible
to
development
DFUs,
thereby
enabling
implementation
timely
interventions
such
as
personalised
PA
patients.
It
recommended
an
integrated
approach
be
adopted
encompasses
all
emerging
technologies
order
enhance
outcomes
DFUs.
The
aim
this
study
examine
existing
literature
on
relationship
between
temperature,
pressure
foot.
To
end,
systematic
review
was
conducted
accordance
with
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
(PRISMA)
format
across
PubMed,
Scopus
Web
Science
databases,
no
temporal
restriction.
total
14
studies
were
included
review.
use
can
changes
pose
UFDs
provide
intervention,
personalising
patient.
Язык: Английский
Development of a transformer-based deep learning algorithm for diabetic peripheral neuropathy classification using corneal confocal microscopy images
Frontiers in Cell and Developmental Biology,
Год журнала:
2024,
Номер
12
Опубликована: Окт. 14, 2024
Background
Diabetic
peripheral
neuropathy
(DPN)
is
common
and
can
go
unnoticed
until
it
firmly
developed.
This
study
aims
to
establish
a
transformer-based
deep
learning
algorithm
(DLA)
classify
corneal
confocal
microscopy
(CCM)
images,
identifying
DPN
in
diabetic
patients.
Methods
Our
classification
model
differs
from
traditional
convolutional
neural
networks
(CNNs)
using
Swin
transformer
network
with
hierarchical
architecture
backbone.
Participants
included
those
(DPN+,
n
=
57)
or
without
(DPN−,
37)
as
determined
by
the
updated
Toronto
consensus
criteria.
The
CCM
image
dataset
(consisting
of
570
DPN+
370
DPN−
five
images
selected
each
participant’s
left
right
eyes)
was
randomly
divided
into
training,
validation,
test
subsets
at
7:1:2
ratio,
considering
individual
participants.
effectiveness
assessed
diagnostic
accuracy
measures,
such
sensitivity,
specificity,
accuracy,
conjunction
Grad-CAM
visualization
techniques
interpret
model’s
decisions.
Results
In
+
group
(n
12),
successfully
predicted
all
participants,
while
7),
one
participant
misclassified
DPN+,
an
area
under
curve
(AUC)
0.9405
(95%
CI
0.8166,
1.0000).
Among
120),
117
were
correctly
classified,
among
70),
49
AUC
0.8996
0.8502,
0.9491).
For
single-image
predictions,
achieved
superior
relative
ResNet50
(0.8761,
95%
0.8155,
0.9366),
Inception_v3
(0.8802,
0.8231,
0.9374),
DenseNet121
(0.8965,
0.8438,
Conclusion
Transformer-based
outperform
CNN-based
rapid
binary
classification.
DLAs
have
clinical
screening
potential.
Язык: Английский