Frontiers in Cellular Neuroscience,
Journal Year:
2025,
Volume and Issue:
19
Published: May 15, 2025
Alzheimer’s
disease
(AD)
is
a
complex
neurodegenerative
condition
characterized
by
multifaceted
interplay
of
genetic,
environmental,
and
pathological
factors.
Traditional
diagnostic
research
methods,
including
neuropsychological
assessments,
imaging,
cerebrospinal
fluid
(CSF)
biomarkers,
have
advanced
our
understanding
but
remain
limited
late-stage
detection
challenges
in
modeling
progression.
The
emergence
three-dimensional
(3D)
brain
organoids
(BOs)
offers
transformative
platform
for
bridging
these
gaps.
BOs
derived
from
patient-specific
induced
pluripotent
stem
cells
(iPSCs)
mimic
the
structural
functional
complexities
human
brain.
This
advancement
an
alternative
or
complementary
approach
studying
AD
pathology,
β-amyloid
tau
protein
aggregation,
neuroinflammation,
aging
processes.
By
integrating
biological
complexity
with
cutting-edge
technological
tools
such
as
organ-on-a-chip
systems,
microelectrode
arrays,
artificial
intelligence-driven
digital
twins
(DTs),
it
hoped
that
will
facilitate
real-time
progression
response
to
interventions.
These
models
capture
central
nervous
system
biomarkers
establish
correlations
peripheral
markers,
fostering
holistic
mechanisms.
Furthermore,
provide
scalable
ethically
sound
animal
models,
advancing
drug
discovery
personalized
therapeutic
strategies.
convergence
DTs
potentially
represents
significant
shift
research,
enhancing
predictive
preventive
capacities
through
precise
vitro
simulations
individual
trajectories.
underscores
potential
medicine,
reducing
reliance
on
invasive
diagnostics
while
promoting
early
intervention.
As
progresses,
sporadic
familial
within
this
framework
promises
refine
heterogeneity
drive
innovations
treatment
care.
Nucleic Acids Research,
Journal Year:
2022,
Volume and Issue:
51(D1), P. D1179 - D1187
Published: Sept. 14, 2022
Abstract
Transcriptome-wide
association
studies
(TWASs),
as
a
practical
and
prevalent
approach
for
detecting
the
associations
between
genetically
regulated
genes
traits,
are
now
leading
to
better
understanding
of
complex
mechanisms
genetic
variants
in
regulating
various
diseases
traits.
Despite
ever-increasing
TWAS
outputs,
there
is
still
lack
databases
curating
massive
public
information
knowledge.
To
fill
this
gap,
here
we
present
Atlas
(https://ngdc.cncb.ac.cn/twas/),
an
integrated
knowledgebase
findings
manually
curated
from
extensive
literature.
In
current
implementation,
collects
401,266
high-quality
human
gene–trait
200
publications,
covering
22,247
257
traits
across
135
tissue
types.
particular,
interactive
knowledge
graph
collected
constructed
together
with
single
nucleotide
polymorphism
(SNP)–gene
build
up
comprehensive
regulatory
networks
at
multi-omics
levels.
addition,
Atlas,
user-friendly
web
interface,
efficiently
enables
users
browse,
search
download
all
information,
relevant
research
metadata
annotation
interest.
Taken
together,
great
value
promoting
utility
availability
results
explaining
basis
well
providing
new
insights
health
disease
research.
Life Medicine,
Journal Year:
2023,
Volume and Issue:
2(3)
Published: May 6, 2023
China
and
the
world
are
facing
severe
population
aging
an
increasing
burden
of
age-related
diseases.
Aging
brain
causes
major
diseases,
such
as
neurodegenerative
diseases
stroke.
Identifying
biomarkers
for
effective
assessment
establishing
a
system
could
facilitate
development
intervention
strategies
prevention
treatment
aging-related
Thus,
experts
from
Biomarker
Consortium
(ABC)
have
combined
latest
research
results
practical
experience
to
recommend
form
expert
consensus,
aiming
provide
basis
assessing
degree
conducting
brain-aging-related
with
ultimate
goal
improving
health
elderly
individuals
in
both
world.
Analytical Chemistry,
Journal Year:
2023,
Volume and Issue:
95(6), P. 3434 - 3441
Published: Jan. 31, 2023
In
this
study,
we
developed,
for
the
first
time,
a
novel
dry
chemistry-based
bipolar
electrochemiluminescence
(ECL)
immunoassay
device
point-of-care
testing
(POCT)
of
Alzheimer-associated
neuronal
thread
protein
(AD7c-NTP),
where
ECL
signals
were
automatically
collected
and
analyzed
after
sample
buffer
solutions
manually
added
onto
immunosensor.
The
proposed
contains
an
automatic
analyzer
immunosensor
fabricated
with
screen-printed
fiber
material-based
chip
three-dimensional
(3D)-printed
shell.
Each
pad
was
premodified
certain
reagents
immunoreaction
then
assembled
to
form
self-enhanced
Ru(II)-poly-l-lysine
complex
lateral
flow
make
addition
coreactants
repeated
flushing
unnecessary.
Only
are
immunosensor,
process
detection
can
be
completed
in
about
6
min
using
analyzer.
Under
optimized
conditions,
linear
range
AD7c-NTP
1
104
pg/mL,
limit
0.15
pg/mL.
had
acceptable
selectivity,
stability,
reproducibility
been
successfully
applied
detect
levels
human
urine.
addition,
accurate
duplex
apolipoprotein
E
ε4
gene
also
validated.
It
is
believed
that
may
candidate
future
POCT
applications.
Neurobiology of Disease,
Journal Year:
2024,
Volume and Issue:
193, P. 106442 - 106442
Published: Feb. 19, 2024
Current
research
efforts
on
neurodegenerative
diseases
are
focused
identifying
novel
and
reliable
biomarkers
for
early
diagnosis
insight
into
disease
progression.
Salivary
analysis
is
gaining
increasing
interest
as
a
promising
source
of
matrices
measuring
diseases.
Saliva
collection
offers
multiple
advantages
over
the
currently
detected
biofluids
it
easily
accessible,
non-invasive,
repeatable,
allowing
timely
treatment
Here,
we
review
existing
findings
salivary
address
potential
value
in
diagnosing
diseases,
such
Alzheimer's
disease,
Parkinson's
Huntington's
Amyotrophic
lateral
sclerosis.
Based
available
research,
β-amyloid,
tau
protein,
α-synuclein,
DJ-1,
Huntington
protein
saliva
profiles
display
reliability
validity
Cell & Bioscience,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 16, 2024
Alzheimer's
disease
(AD)
diagnosis
relies
on
clinical
symptoms
complemented
with
biological
biomarkers,
the
Amyloid
Tau
Neurodegeneration
(ATN)
framework.
Small
non-coding
RNA
(sncRNA)
in
blood
have
emerged
as
potential
predictors
of
AD.
We
identified
sncRNA
signatures
specific
to
ATN
and
AD,
evaluated
both
their
contribution
improving
AD
conversion
prediction
beyond
alone.
