Journal of Neuromuscular Diseases,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 8, 2024
Duchenne
muscular
dystrophy
is
a
severe
neuromuscular
disorder
characterized
by
progressive
muscle
degeneration
resulting
from
mutations
in
the
dystrophin
gene.
Digital
outcome
measures
offer
promising
alternative
to
traditional
used
clinical
trials.
This
review
explores
development
and
application
of
digital
dystrophy,
emphasizing
feasibility,
reliability,
sensitivity,
validity
these
measures.
The
stride
velocity
95th
centile
has
been
validated
as
robust
endpoint
approved
for
use
evaluation
drugs
treatment
European
Medicines
Agency.
Although
have
potential
enhance
efficiency
accuracy
trials,
challenges
such
limited
sample
sizes
patient
compliance
persist.
integration
artificial
intelligence
into
data
analysis
progress,
but
further
validation
required
before
strategies
can
be
incorporated
future
trial
methodologies.
Deleted Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 14, 2025
Duchenne
muscular
dystrophy
(DMD)
is
a
rare
and
severe
genetic
neuromuscular
disease,
characterized
by
rapid
progression
high
mortality,
highlighting
the
need
for
accurate
ambulatory
function
assessment
tools.
Ultrasound
imaging
methods
have
been
widely
used
quantitative
analysis.
Radiomics,
which
converts
medical
images
into
data,
combined
with
machine
learning
(ML),
offers
promising
solution.
This
study
aimed
at
utilizing
radiomics
to
analyze
different
stages
of
data
generated
during
B-mode
image
processing
evaluate
DMD
patients.
The
included
85
participants,
categorized
non-ambulatory
groups
based
on
their
functional
status.
scans
were
utilized
capture
backscattered
radiofrequency
then
processed
generate
envelope,
normalized,
images.
Radiomics
analysis
involved
manual
segmentation
grayscale
automatic
feature
extraction
using
specialized
software,
followed
selection
maximal
relevance
minimal
redundancy
method.
selected
features
input
five
ML
algorithms,
model
evaluation
conducted
via
area
under
receiver
operating
characteristic
curve
(AUROC).
To
ensure
robustness,
both
leave-one-out
cross-validation
repeated
splitting
employed.
Additionally,
multiple
models
constructed
tested
assess
performance.
intensity
values
across
all
types
increased
as
walking
ability
declined,
significant
differences
observed
between
(p
<
0.001).
These
exhibited
similar
diagnostic
performance
levels,
AUROC
below
0.8.
However,
(RF)
outperformed
other
when
was
applied,
notably
achieving
an
value
0.906.
combining
algorithms
yielded
higher
0.912
RF
input.
surpasses
conventional
ultrasound-derived
in
evaluating
DMD.
Moreover,
integrating
further
enhances
classification
proposed
method
this
framework
improving
accuracy
reliability
clinical
follow-up
evaluations,
supporting
more
effective
management
code
available
https://github.com/Goldenyan/radiomicsUS
.
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(8), P. 3579 - 3579
Published: April 10, 2025
Abnormalities
in
X
chromosomes,
either
numerical
or
structural,
cause
X-linked
disorders,
such
as
Duchenne
muscular
dystrophy
(DMD).
Recent
molecular
and
cytogenetic
techniques
can
help
identify
DMD
gene
mutations.
The
accurate
diagnosis
of
is
crucial,
directly
impacting
patient
treatment
management,
genetics,
the
establishment
effective
prevention
strategies.
This
review
provides
an
overview
chromosomal
disorders
affecting
discusses
how
mutations
Dystrophin
domains
impact
detection
accuracy.
Firstly,
efficiency
use
for
genetic
disease
have,
thus,
become
increasingly
important.
Secondly,
artificial
intelligence
(AI)
will
be
instrumental
developing
future
therapies
by
enabling
aggregation
synthesis
extensive
heterogeneous
datasets,
thereby
elucidating
underlying
mechanisms.
However,
despite
advances
diagnostic
technology,
understanding
role
remains
a
challenge.
Therefore,
this
aims
to
synthesize
complex
information
significantly
advance
it
could
affect
care.
Proteomes,
Journal Year:
2024,
Volume and Issue:
12(1), P. 4 - 4
Published: Jan. 16, 2024
This
perspective
article
is
concerned
with
the
question
of
how
proteomics,
which
a
core
technique
systems
biology
that
deeply
embedded
in
multi-omics
field
modern
bioresearch,
can
help
us
better
understand
molecular
pathogenesis
complex
diseases.
As
an
illustrative
example
monogenetic
disorder
primarily
affects
neuromuscular
system
but
characterized
by
plethora
multi-system
pathophysiological
alterations,
muscle-wasting
disease
Duchenne
muscular
dystrophy
was
examined.
Recent
achievements
dystrophinopathy
research
are
described
special
reference
to
proteome-wide
complexity
changes
and
body-wide
alterations/adaptations.
Based
on
description
current
applications
top-down
versus
bottom-up
proteomic
approaches
their
technical
challenges,
future
biological
outlined.
The
envisaged
holistic
integromic
bioanalysis
would
encompass
integration
diverse
omics-type
studies
including
inter-
intra-proteomics
as
disciplines
for
systematic
protein
evaluations,
sophisticated
biomolecular
analyses,
physiology,
biology,
biochemistry
histochemistry.
Integrated
findings
promise
be
instrumental
improving
our
detailed
knowledge
pathogenic
mechanisms
dysfunction,
widening
available
biomarker
signature
improved
diagnostic/prognostic
procedures,
advancing
identification
novel
therapeutic
targets
treat
dystrophy.
Frontiers in Cell and Developmental Biology,
Journal Year:
2024,
Volume and Issue:
12
Published: May 22, 2024
Skeletal
muscle
regeneration
relies
on
the
intricate
interplay
of
various
cell
populations
within
niche—an
environment
crucial
for
regulating
behavior
stem
cells
(MuSCs)
and
ensuring
postnatal
tissue
maintenance
regeneration.
This
review
delves
into
dynamic
interactions
among
key
players
this
process,
including
MuSCs,
macrophages
(MPs),
fibro-adipogenic
progenitors
(FAPs),
endothelial
(ECs),
pericytes
(PCs),
each
assuming
pivotal
roles
in
orchestrating
homeostasis
Dysfunctions
these
can
lead
not
only
to
pathological
conditions
but
also
exacerbate
muscular
dystrophies.
The
exploration
cellular
molecular
crosstalk
both
physiological
dystrophic
provides
insights
multifaceted
communication
networks
governing
Furthermore,
discusses
emerging
strategies
modulate
muscle-regenerating
niche,
presenting
a
comprehensive
overview
current
understanding
innovative
approaches.
Frontiers in Physiology,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 9, 2024
Duchenne
muscular
dystrophy
(DMD)
is
caused
by
mutations
in
the
gene
encoding
dystrophin,
a
subsarcolemmal
protein
whose
absence
results
increased
susceptibility
of
muscle
fiber
membrane
to
contraction-induced
injury.
This
calcium
influx,
oxidative
stress,
and
mitochondrial
dysfunction,
leading
chronic
inflammation,
myofiber
degeneration,
reduced
regenerative
capacity.
Fast
glycolytic
fibers
have
been
shown
be
more
vulnerable
mechanical
stress
than
slow
both
DMD
patients
mouse
models.
Therefore,
remodeling
skeletal
toward
slower,
phenotype
may
represent
relevant
therapeutic
approach
protect
dystrophic
muscles
from
deterioration
improve
effectiveness
cell-based
therapies.
The
resistance
slow,
myofibers
pathology
attributed,
part,
their
higher
expression
Utrophin;
there
are,
however,
other
characteristics
that
might
contribute
enhanced
injury,
including
contractile
speed,
fatigue,
capillary
density,
activity,
decreased
cellular
energy
requirements.
review
focuses
on
signaling
pathways
regulatory
factors
genetic
or
pharmacologic
modulation
has
ameliorate
preclinical
models
while
promoting
transition
towards
slower
phenotype.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(9), P. 4767 - 4767
Published: April 27, 2024
Circadian
clock
and
clock-controlled
output
pathways
exert
temporal
control
in
diverse
aspects
of
skeletal
muscle
physiology,
including
the
maintenance
mass,
structure,
function,
metabolism.
They
have
emerged
as
significant
players
understanding
disease
etiology
potential
therapeutic
avenues,
particularly
Duchenne
muscular
dystrophy
(DMD).
This
review
examines
intricate
interplay
between
circadian
rhythms
highlighting
how
disruptions
regulation
may
contribute
to
pathophysiology
specific
mechanisms
linking
dysregulation
with
DMD.
Moreover,
we
discuss
recent
advancements
chronobiological
research
that
shed
light
on
function
its
relevance
Understanding
involved
mass
offers
novel
insights
into
pathogenesis
DMD
unveils
promising
avenues
for
interventions.
We
further
explore
chronotherapeutic
strategies
targeting
ameliorate
degeneration
which
inform
drug
development
efforts
dystrophy.
Rare
inherited
neurological
and
neuromuscular
diseases
affect
the
central
nervous
system,
peripheral
skeletal
muscles.About
80%
of
rare
are
estimated
to
have
an
underlying
genetic
etiology,
yet
only
approximately
50%
patients
receive
a
diagnosis,
which
is
often
described
as
diagnostic
gap.Determining
cause
patients'
disease
ends
their
years-long
odyssey,
has
important
consequences
regarding
counselling
be
offered
patients,
enables
availability
pre-implantation
testing,
increasingly
so,
determines
access
clinical
trials
gene-specific
therapies.From
research
point
view,
closing
gap
great
impact
on
discovery
critical
neuronal
pathways,
oftentimes
leading
overarching
pathomechanisms
between
acquired
neuropathies
resulting
in
shared
therapy
development.The
overall
aim
this
PhD
thesis
gain
novel
insights
into
architecture
diseases,
including
spinocerebellar
ataxia
(SCA),
hereditary
spastic
paraplegia
(HSP),
myopathies.The
objective
can
divided
two
main
parts:
[1]
application
large-scale
variant
identification,
using
both
'classical'
single-nucleotide
identification
bio-informatic
approach
identify
copy
number
variation
whole
exome
sequencing
[2]
characterization
phenotypical
spectrum
associated
with
mutations
SPTAN1
gene,
identified
approaches
[1].SPTAN1
display
intriguingly
wide
spectrum.Prior
thesis,
SPTAN1-associated
included
epileptic
syndromes,
intellectual
disability,
motor
neuropathy.Chapter
2
describes
de
novo
dominantly
variants
HSP
SCA,
thereby
widening
system
phenotypes
variants.This
study
relied
screening
more
than
10,000
NGS
datasets
relevant
phenotype,
indicative
efforts
currently
needed
find
causes
for
diseases.Chapter
3
Copy
Number
Variants
(CNVs)
repurposed
Whole
Exome
Sequencing
(WES).This
analysis
was
performed
within
setting
Solve-RD
consortium,
enabling
participation
42
groups
across
Europe
studying
diseases.Three
different
CNV
calling
algorithms
compared
study,
limited
pre-defined
set
diseaseassociated
genes
reduce
interpretation
burden
submitting
centers.Chapter
4
presents
deeper
dive
one
families
techniques
Chapter
3,
where
we
show
that
9q34
deletion
full
gene
causative
myopathy
phenotype.This
not
provided
diagnosis
long-standing
unsolved
family,
but
also
further
defines
include
myopathy.A
general
discussion
presented
5,
focus
commonalities
data
sharing
necessary
current
challenges
remain
implement
upcoming
technologies
like
long
read
short
genome
sequencing.Een
discussie
van
dit
proefschrift
wordt
gepresenteerd
Hoofdstuk
met
nadruk
op
overeenkomsten
pathomechanismen
die
ten
grondslag
liggen
aan
zeldzame
erfelijke
neurologische
en
neuromusculaire
ziekten,
het
grote
schaal
delen
gegevens
nodig
zijn
om
nieuwe
oorzaken
voor
ziekten
te
identificeren
huidige
uitdagingen
nog
resteren
vooraleer
technologieën
zoals
klaar
implementatie.
European Journal of Therapeutics,
Journal Year:
2024,
Volume and Issue:
30(5), P. 675 - 681
Published: Aug. 6, 2024
Objective:
In
vitro
models
of
skeletal
muscle
often
utilize
primary
myoblast
cells
or
cell
lines.
Myoblasts
require
adhesion
to
the
extracellular
matrix
(ECM)
grow,
proliferate,
migrate,
and
differentiate
in
their
natural
environments
vivo.
To
meet
needs
adhesive
under
conditions,
culture
surfaces
are
coated
with
various
biological
synthetic
compounds.
Within
scope
study,
differentiation
potential
H2K
myoblasts,
a
line
resembling
were
comparatively
evaluated
through
morphological
analysis
on
ECM
materials.
Methods:
The
fibronectin
laminin,
major
proteins
ECM;
gelatin,
molecular
derivative
collagen;
matrigel,
an
extract;
PLL,
poly-amino
acid.
Cells
allowed
each
medium
for
4
days
capacity
adhere
surface
rates
from
myotube
by
analysis.
Results:
uncoated
environment,
could
only
attach
30-50%
development
was
limited
not
aligned
other.
On
no
observed
30-40%
surface.
Myotube
alignment
similar
all
components.
components
covered
entire
exhibited
development.
However,
both
compared
other
mean
diameters
fibronectin,
PLL+laminin
gelatin
49.71µm
(±16.3µm),
52.31µm
(±15.7µm),
51.9µm
(±15.3µm),
53.06µm
(±14.2µm)
35.25µm
(±11.4µm),
respectively.
Conclusion:
it
revealed
that
coating
cationic
material
such
as
PLL
does
support
myogenesis
needed
viability
differentiation.