SLAS TECHNOLOGY,
Год журнала:
2025,
Номер
unknown, С. 100257 - 100257
Опубликована: Фев. 1, 2025
Alzheimer's
disease
(AD)
is
a
progressive
neurological
condition
characterized
by
cognitive
decline,
memory
loss,
and
aberrant
behaviour.
It
affects
millions
of
people
globally
one
the
main
causes
dementia.
The
neurodegenerative
known
as
AD
has
intricate,
multifaceted
mechanisms
that
make
it
difficult
to
comprehend
identify
in
its
early
stages.
Conventional
diagnostic
techniques
frequently
fail
detect
By
combining
Natural
Language
Processing
(NLP)
Large
Models
(LLMs),
this
research
suggests
novel
approach
for
identifying
potential
biomarkers
underlying
AD.
Clinical
data
gathered
from
publicly
accessible
databases
healthcare
facilities,
including
genetic
information,
neuroimaging
scans,
medical
records.
pre-processing
unstructured
clinical
notes
involves
tokenization
profiles
are
normalized
Z-score
normalization
consistency.
Multi-Input
Convolutional
Neural
Networks
(MI-CNN)
employed
efficiently
fuse
diverse
sources,
allowing
thorough
analysis.
Key
linked
identified
categorized
using
Genetic
Algorithm
combined
with
Bidirectional
Encoder
Representations
Transformers
(BERT)
(GenBERT).
fine-tuning
BERT's
hyperparameters
optimization
approaches,
GenBERT
enables
effective
analysis
large
datasets,
such
patient
histories,
data,
notes.
combination
strategy
increases
feature
selection
model's
capacity
minute
genomic
linguistic
patterns
suggestive
goal
integrated
provide
tools
new
insights
into
pathogenesis
disease,
which
could
transform
methods
detecting
treating
As
concerns
prediction,
model
performs
better
than
current
techniques,
obtaining
highest
accuracy
(98.30%)
F1-score
(0.97),
well
greater
precision
(0.95)
recall
(0.92).
Additionally,
demonstrates
reliably
both
positive
negative
cases
sensitivity
(98.65%)
specificity
(99.73%).
Overall,
offers
trustworthy
useful
tool
diagnosis.
Nucleic Acids Research,
Год журнала:
2022,
Номер
51(D1), С. D1179 - D1187
Опубликована: Сен. 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.
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.
Neurobiology of Disease,
Год журнала:
2024,
Номер
193, С. 106442 - 106442
Опубликована: Фев. 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
Analytical Chemistry,
Год журнала:
2023,
Номер
95(6), С. 3434 - 3441
Опубликована: Янв. 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.
Frontiers in Cellular Neuroscience,
Год журнала:
2023,
Номер
17
Опубликована: Дек. 7, 2023
Alzheimer’s
disease
(AD)
is
a
progressive
degenerative
neurological
illness
with
insidious
onset.
Due
to
the
complexity
of
pathogenesis
AD
and
different
pathological
changes,
clinical
phenotypes
dementia
are
diverse,
these
changes
also
interact
each
other.
Therefore,
it
great
significance
search
for
biomarkers
that
can
diagnose
improve
ability
monitor
course
treat
disease.
The
mechanism
hypothesis
high
recognition
mainly
includes
accumulation
β-amyloid
(Aβ)
around
neurons
hyperphosphorylation
tau
protein,
which
results
in
development
neuronal
fiber
tangles
(NFTs)
mitochondrial
dysfunction.
an
irreversible
disease;
currently,
there
no
cure
or
delay
process
drugs,
lack
effective
early
diagnosis
methods.
patients,
often
stages
moderate
cognitive
impairment,
will
seek
medical
treatment.
Biomarkers
help
presence
absence
specific
diseases
their
processes,
so
screening
crucial
prevention
therapy
practice.
deposition
(A),
pathology
(T),
neurodegeneration/neuronal
damage
(N),
known
as
AT
(N)
system,
widely
validated
core
humoral
markers
AD.
In
this
paper,
related
current
research
status
cerebrospinal
fluid
(CSF)
blood
were
reviewed.
At
same
time,
limitations
discussed,
future
was
prospected.
addition,
contents
dysfunction,
prion
virology
intestinal
microbiome
described,
understand
many
aspects
dimensions,
evaluate
more
comprehensively
accurately.
