Journal of Neurology,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 12, 2024
Multiple
sclerosis
(MS)
is
a
demyelinating
neurological
disorder
with
highly
heterogeneous
clinical
presentation
and
course
of
progression.
Disease-modifying
therapies
are
the
only
available
treatment,
as
there
no
known
cure
for
disease.
Careful
selection
suitable
necessary,
they
can
be
accompanied
by
serious
risks
adverse
effects
such
infection.
Magnetic
resonance
imaging
(MRI)
plays
central
role
in
diagnosis
management
MS,
though
MRI
lesions
have
displayed
moderate
associations
MS
outcomes,
clinico-radiological
paradox.
With
advent
machine
learning
(ML)
healthcare,
predictive
power
improved
leveraging
both
traditional
advanced
ML
algorithms
capable
analyzing
increasingly
complex
patterns
within
neuroimaging
data.
The
purpose
this
review
was
to
examine
application
MRI-based
prediction
disease
Studies
were
divided
into
five
main
categories:
predicting
conversion
clinically
isolated
syndrome
cognitive
outcome,
EDSS-related
disability,
motor
disability
activity.
performance
models
discussed
along
highlighting
influential
MRI-derived
biomarkers.
Overall,
presents
promising
avenue
prognosis.
However,
integration
biomarkers
other
multimodal
patient
data
shows
great
potential
advancing
personalized
healthcare
approaches
MS.
New England Journal of Medicine,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 8, 2025
Tolebrutinib
is
an
oral,
brain-penetrant,
and
bioactive
Bruton's
tyrosine
kinase
inhibitor
that
modulates
peripheral
inflammation
persistent
immune
activation
within
the
central
nervous
system,
including
disease-associated
microglia
B
cells.
More
data
are
needed
on
its
efficacy
safety
in
treating
relapsing
multiple
sclerosis.
In
two
phase
3,
double-blind,
double-dummy,
event-driven
trials
(GEMINI
1
GEMINI
2),
participants
with
sclerosis
were
randomly
assigned
a
1:1
ratio
to
receive
tolebrutinib
(60
mg
once
daily)
or
teriflunomide
(14
daily),
each
matching
placebo.
The
primary
end
point
was
annualized
relapse
rate.
key
secondary
confirmed
worsening
of
disability
sustained
for
at
least
6
months,
which
assessed
time-to-event
analysis
pooled
across
trials.
A
total
974
enrolled
1,
899
2.
median
follow-up
139
weeks.
rate
groups
0.13
0.12,
respectively,
(rate
ratio,
1.06;
95%
confidence
interval
[CI],
0.81
1.39;
P
=
0.67)
0.11
0.11,
2
1.00;
CI,
0.75
1.32;
0.98).
percentage
months
8.3%
11.3%
(hazard
0.71;
0.53
0.95;
no
formal
hypothesis
testing
conducted
owing
prespecified
hierarchical
plan,
width
not
adjusted
testing).
who
had
adverse
events
similar
treatment
groups,
although
minor
bleeding
higher
group
than
(petechiae
occurred
4.5%
vs.
0.3%,
heavy
menses
2.6%
1.0%).
superior
decreasing
rates
among
(Funded
by
Sanofi;
ClinicalTrials.gov
numbers,
NCT04410978
NCT04410991,
respectively.).
International Journal of Molecular Sciences,
Год журнала:
2023,
Номер
24(7), С. 6354 - 6354
Опубликована: Март 28, 2023
The
term
"neurodegenerative
diseases"
(NDs)
identifies
a
group
of
heterogeneous
diseases
characterized
by
progressive
loss
selectively
vulnerable
populations
neurons,
which
progressively
deteriorates
over
time,
leading
to
neuronal
dysfunction.
Protein
aggregation
and
have
been
considered
the
most
characteristic
hallmarks
NDs,
but
growing
evidence
confirms
that
significant
dysregulation
innate
immune
pathways
plays
crucial
role
as
well.
NDs
vary
from
multiple
sclerosis,
in
autoimmune
inflammatory
component
is
predominant,
more
"classical"
such
Parkinson's
disease,
Alzheimer's
amyotrophic
lateral
spinal
muscular
atrophy.
Of
interest,
many
clinical
differences
reported
seem
be
closely
linked
sex,
may
justified
changes
mechanisms
between
affected
females
males.
In
this
review,
we
examined
some
studied
looking
at
their
pathogenic
phenotypical
features
highlight
sex-related
discrepancies,
if
any,
with
particular
interest
individuals'
responses
treatment.
We
believe
pointing
out
these
practice
help
achieve
successful
precision
personalized
care.
Abstract
The
potential
for
combining
serum
neurofilament
light
chain
(sNfL)
and
glial
fibrillary
acidic
protein
(sGFAP)
levels
to
predict
worsening
disability
in
multiple
sclerosis
remains
underexplored.
We
aimed
investigate
whether
sNfL
sGFAP
values
identify
distinct
subgroups
of
patients
according
the
risk
their
response
disease-modifying
treatments
(DMTs).
This
multicentre
study,
conducted
across
13
European
hospitals,
spanned
from
15
July
1994
18
August
2022,
with
follow-up
until
26
September
2023.
enrolled
who
had
samples
collected
within
12
months
disease
onset
before
initiating
DMTs.
Multivariable
regression
models
were
used
estimate
relapse-associated
(RAW),
progression
independent
relapse
activity
(PIRA)
Expanded
Disability
Status
Scale
(EDSS)
score
3.
Of
725
included,
median
age
was
34.2
(interquartile
range,
27.6–42.4)
years,
509
(70.2%)
female.
duration
6.43
4.65–9.81)
years.
Higher
associated
an
elevated
RAW
[hazard
ratio
(HR)
1.45;
95%
confidence
interval
(CI)
1.19–1.76;
P
<
0.001],
PIRA
(HR
1.43;
CI
1.13–1.81;
=
0.003)
reaching
EDSS
3
1.55;
1.29–1.85;
0.001).
Moreover,
higher
linked
a
achieving
1.36;
1.06–1.74;
0.02)
and,
low
values,
1.86;
1.01–3.45;
0.04).
also
examined
combined
effect
levels.
Patients
exhibited
all
outcomes
served
as
reference.
Untreated
high
showed
RAW,
Injectable
or
oral
DMTs
reduced
these
but
failed
mitigate
Conversely,
high-efficacy
counteracted
heightened
outcomes,
except
increased
3,
which
remained
unchanged
either
other
In
conclusion,
evaluating
at
might
phenotypes
diverse
immunological
pathways
acquisition
therapeutic
response.
CNS Neuroscience & Therapeutics,
Год журнала:
2025,
Номер
31(1)
Опубликована: Янв. 1, 2025
ABSTRACT
Background
Multiple
sclerosis
(MS)
is
an
autoimmune
disorder
affecting
the
central
nervous
system,
with
varying
clinical
manifestations
such
as
optic
neuritis,
sensory
disturbances,
and
brainstem
syndromes.
Disease
progression
monitored
through
methods
like
MRI
scans,
disability
scales,
optical
coherence
tomography
(OCT),
which
can
detect
retinal
thinning,
even
in
absence
of
neuritis.
MS
involves
neurodegeneration,
particularly
trans‐synaptic
degeneration,
extends
beyond
initial
injury
site.
This
review
focuses
on
impact
different
treatments
thickness
assessed
by
OCT.
Results
Injectable
drugs,
interferon
beta
glatiramer
acetate
(GA),
have
a
relatively
modest
atrophy.
Oral
medications
Fingolimod,
Teriflunomide,
Dimethyl
fumarate
also
impacts
thickness.
Fingolimod
has
been
shown
to
protect
against
thinning
but
may
lead
macular
edema.
DMF‐treated
patients
had
less
ganglion
cell–inner
plexiform
layer
than
GA‐treated
more
compared
natalizumab‐treated
healthy
controls.
Teriflunomide's
layers
remains
unexplored
human
studies.
Monoclonal
antibodies,
including
Alemtuzumab,
Rituximab,
Ocrelizumab,
Natalizumab,
protective
effects
Alemtuzumab‐treated
showed
significantly
atrophy
interferon‐
patients.
Rituximab
initially
increased
rates
first
months
subsequently
demonstrated
potential
neuroprotective
effects.
Ocrelizumab
slowed
rate
inner
nuclear
progressive
forms
disease.
Natalizumab
considered
most
effective
reducing
atrophy,
peripapillary
nerve
fiber
layer.
Conclusions
It's
important
note
that
effectiveness
these
vary
depending
subtype
individual
factors.
Future
research
should
explore
long‐term
their
correlations
overall
disease
Heliyon,
Год журнала:
2025,
Номер
11(2), С. e42119 - e42119
Опубликована: Янв. 1, 2025
Motion
disorders
affect
a
significant
portion
of
the
global
population.
While
some
symptoms
can
be
managed
with
medications,
these
treatments
often
impact
all
muscles
uniformly,
not
just
affected
ones,
leading
to
potential
side
effects
including
involuntary
movements,
confusion,
and
decreased
short-term
memory.
Currently,
there
is
no
dedicated
application
for
differentiating
healthy
from
abnormal
ones.
Existing
analysis
applications,
designed
other
purposes,
lack
essential
software
engineering
features
such
as
user-friendly
interface,
infrastructure
independence,
usability
learning
ability,
cloud
computing
capabilities,
AI-based
assistance.
This
research
proposes
computer-based
methodology
analyze
human
motion
differentiate
between
unhealthy
muscles.
First,
an
IoT-based
approach
proposed
digitize
using
smartphones
instead
hardly
accessible
wearable
sensors
markers.
The
data
then
simulated
neuromusculoskeletal
system.
An
agent-driven
modeling
method
ensures
naturalness,
accuracy,
interpretability
simulation,
incorporating
neuromuscular
details
Henneman's
size
principle,
action
potentials,
motor
units,
biomechanical
principles.
results
are
provided
medical
clinical
experts
aid
in
further
investigation.
Additionally,
deep
learning-based
ensemble
framework
assist
simulation
results,
offering
both
accuracy
interpretability.
A
graphical
interface
enhances
application's
usability.
Being
fully
cloud-based,
infrastructure-independent
accessed
on
smartphones,
PCs,
devices
without
installation.
strategy
only
addresses
current
challenges
treating
but
also
paves
way
simulations
by
considering
scientific
computational
requirements.