Blood-based biomarkers in mild behavioral impairment: an updated overview
Frontiers in Neurology,
Год журнала:
2025,
Номер
16
Опубликована: Фев. 6, 2025
Identifying
individuals
at-risk
for
dementia
is
one
of
the
critical
objectives
current
research
efforts,
highlighting
need
simple,
cost-effective,
and
minimally
invasive
biomarkers.
Mild
behavioral
impairment
(MBI),
characterized
by
emergence
persistent
neuropsychiatric
manifestations
in
older
adults,
has
attracted
increasing
attention
as
a
potential
early
indicator
cognitive
decline
dementia.
A
growing
number
studies
have
recently
begun
to
explore
relationship
between
MBI
several
blood-based
biomarkers
associated
with
Alzheimer's
disease
(AD)
pathology,
neurodegeneration,
well
systemic
metabolic
inflammatory
dysregulation.
In
this
context,
been
lower
plasma
Aβ42/Αβ40
ratio,
higher
phosphorylated
tau
at
threonine
181
(p-tau181),
increased
neurofilament
light
chain
(NfL)
levels,
disturbances
markers,
including
homocysteine,
insulin
ferritin,
suggesting
multifaceted
neurobiological
basis
syndrome.
These
findings
offer
insights
into
underlying
pathophysiology
MBI,
connection
symptoms
progression
AD.
narrative
review,
we
aim
summarize
critically
discuss
emerging
literature
evidence
linking
biomarkers,
hoping
shed
more
on
MBI's
pathophysiology,
its
AD-related
neurobiology,
practical
utility
predicting
impairment,
guiding
interventions
managing
risk
Язык: Английский
The Advancements of Marine Natural Products in the Treatment of Alzheimer’s Disease: A Study Based on Cell and Animal Experiments
Marine Drugs,
Год журнала:
2025,
Номер
23(3), С. 91 - 91
Опубликована: Фев. 20, 2025
As
life
expectancy
rises
and
the
aging
population
grows,
Alzheimer’s
disease
(AD)
has
become
a
significant
global
health
concern.
AD
is
complex
neurodegenerative
disorder
with
an
unclear
etiology.
Current
hypotheses
primarily
focus
on
β-amyloid
(Aβ)
aggregation,
tau
protein
hyperphosphorylation,
neuroinflammation
as
key
pathological
processes.
Given
limited
efficacy
of
existing
therapeutic
strategies,
there
urgent
need
to
explore
novel
treatment
options.
Marine
natural
products
have
garnered
attention
due
their
unique
chemical
structures
diverse
bioactivities,
demonstrating
potential
for
multi-target
interventions
in
AD.
This
review
systematically
summarizes
roles
marine-derived
compounds,
including
polysaccharides,
carotenoids,
polyphenols,
modulating
Aβ
mitigating
pathology,
regulating
gut–brain
axis
dysfunction.
Furthermore,
challenges
current
research
are
discussed,
emphasis
improving
blood–brain
barrier
permeability
optimizing
drug
delivery
systems
facilitate
clinical
translation.
Язык: Английский
The Greek Version of the Mild Behavioral Impairment Checklist (MBI-C): Psychometric Properties in Mild Cognitive Impairment Due to Alzheimer’s Disease
Brain Sciences,
Год журнала:
2025,
Номер
15(5), С. 462 - 462
Опубликована: Апрель 27, 2025
Mild
behavioral
impairment
(MBI)
is
an
early
marker
of
Alzheimer's
disease
(AD)
and
other
neurodegenerative
diseases,
often
preceding
cognitive
decline.
The
MBI
Checklist
(MBI-C)
a
34-item
tool
designed
to
detect
MBI.
This
study
aimed
assess
the
psychometric
properties
Greek
version
MBI-C
its
ability
differentiate
patients
with
mild
due
AD
(MCI-AD)
from
cognitively
unimpaired
older
adults
(healthy
participants,
HPs).
A
total
181
participants
(104
MCI-AD,
77
HPs)
were
recruited
Third
Age
Day
Care
Center
IASIS
(2019-2023),
accompanied
by
close
informant.
Participants
underwent
neuropsychological
assessment
[Mini-Mental
State
Examination
(MMSE),
Addenbrooke's
Cognitive
Examination-Revised
(ACE-R)],
informants
completed
MBI-C.
Internal
consistency
was
evaluated
using
Cronbach's
α
known-group
validity
assessed
via
comparing
between
MCI-AD
HPs
groups.
Diagnostic
accuracy
determined
receiver
operating
characteristic
(ROC)
analysis.
showed
excellent
internal
(Cronbach's
=
0.899).
Among
domains,
impulse
dyscontrol
demonstrated
highest
reliability
(α
0.901),
whereas
decreased
motivation
0.564)
abnormal
perception/thought
content
0.617)
exhibited
lower
reliability.
domain
scores
significantly
higher
in
than
(p
<
0.001).
area
under
curve
(AUC)
0.871
(optimal
cutoff
9.5),
indicating
diagnostic
performance.
Overall,
has
strong
for
MCI-AD.
Sociocultural
factors
might
influence
symptom
identification
reporting,
particularly
domains
content.
Future
research
should
investigate
predictive
value
dementia
conversion
applicability
populations,
including
individuals
subjective
decline
non-AD
causes
MCI.
Язык: Английский