Alzheimer s & Dementia,
Journal Year:
2022,
Volume and Issue:
19(1), P. 25 - 35
Published: March 2, 2022
Abstract
Introduction
Blood
biomarkers
for
Alzheimer's
disease
(AD)
are
the
future
of
AD
risk
assessment.
The
aim
this
study
was
to
determine
association
between
plasma‐measured
phosphorylated
tau
(p‐tau181),
glial
fibrillary
acidic
protein
(GFAP),
and
neurofilament
light
(NfL)
levels
clinical
incidence
with
consideration
impact
cardiovascular
health.
Methods
Within
a
community‐based
cohort,
biomarker
were
measured
at
baseline
using
single
molecule
array
technology
in
768
participants
(aged
50–75)
followed
over
17
years.
Associations
among
AD,
vascular
dementia,
mixed
dementia
assessed.
Results
GFAP
associated
even
more
than
decade
before
diagnosis
(9–17
years),
while
p‐tau181
NfL
intermediate
(within
9
years).
Significant
interaction
detected
health
p‐tau181/NfL.
Discussion
may
be
an
early
increasing
effect
modifying
role
should
considered
stratification.
Molecular Neurodegeneration,
Journal Year:
2023,
Volume and Issue:
18(1)
Published: March 16, 2023
As
the
leading
cause
of
dementia,
Alzheimer's
disease
(AD)
is
a
major
burden
on
affected
individuals,
their
families
and
caregivers,
healthcare
systems.
Although
AD
can
be
identified
diagnosed
by
cerebrospinal
fluid
or
neuroimaging
biomarkers
that
concord
with
neuropathological
evidence
clinical
symptoms,
challenges
regarding
practicality
accessibility
hinder
widespread
availability
implementation.
Consequently,
many
people
suspected
cognitive
impairment
due
to
do
not
receive
biomarker-supported
diagnosis.
Blood
have
capacity
help
expand
access
diagnostics
worldwide.
One
such
promising
biomarker
plasma
phosphorylated
tau
(p-tau),
which
has
demonstrated
specificity
versus
non-AD
neurodegenerative
diseases,
will
extremely
important
inform
diagnosis
eligibility
for
therapies
recently
been
approved.
This
review
provides
an
update
diagnostic
prognostic
performances
p-tau181,
p-tau217
p-tau231,
associations
in
vivo
autopsy-verified
pathological
hallmarks.
Additionally,
we
discuss
potential
applications
unanswered
questions
p-tau
therapeutic
trials,
given
recent
addition
toolbox
participant
screening,
recruitment
during-trial
monitoring.
Outstanding
include
assay
standardization,
threshold
generation
verification
diverse
cohorts
reflective
wider
community
attending
memory
clinics
included
trials.
Brain,
Journal Year:
2023,
Volume and Issue:
146(5), P. 2029 - 2044
Published: Feb. 15, 2023
Abstract
Staging
the
severity
of
Alzheimer’s
disease
pathology
using
biomarkers
is
useful
for
therapeutic
trials
and
clinical
prognosis.
Disease
staging
with
amyloid
tau
PET
has
face
validity;
however,
this
would
be
more
practical
plasma
biomarkers.
Our
objectives
were,
first,
to
examine
approaches
and,
second,
prediction
stages
Participants
(n
=
1136)
were
enrolled
in
either
Mayo
Clinic
Study
Aging
or
Research
Center;
had
a
concurrent
PET,
blood
draw;
met
criteria
cognitively
unimpaired
864),
mild
cognitive
impairment
148)
syndrome
dementia
124).
The
latter
two
groups
combined
into
impaired
group
272).
We
used
multinomial
regression
models
estimate
discrimination
[concordance
(C)
statistics]
among
three
(low,
intermediate,
high),
four
(Braak
0,
1–2,
3–4,
5–6)
stage
(none/low
versus
intermediate/high
severity)
as
predictors
separately
within
individuals.
Plasma
analytes,
p-tau181,
Aβ1–42
Aβ1–40
(analysed
Aβ42/Aβ40
ratio),
glial
fibrillary
acidic
protein
neurofilament
light
chain
measured
on
HD-X
Simoa
Quanterix
platform.
p-tau217
was
also
subset
355)
participants
Lilly
Meso
Scale
Discovery
assay.
Models
all
analytes
along
risk
factors
(age,
sex
APOE)
most
often
provided
best
(C
0.78–0.82).
p-tau181
similar
0.72–0.85
C
0.73–0.86).
Discriminating
proxy
from
none/low
neuropathological
change
excellent
but
not
better
than
only
0.88
0.87
0.91
0.90
impaired).
outperformed
assay
discriminating
high
intermediate
0.85
0.74)
did
improve
over
model
0.83).
can
discriminate
between
surrogate
accuracy
acceptable
range.
Combinations
are
single
many
predictions
exception
that
alone
usually
performed
equivalently
combinations
discrimination.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(9), P. 4184 - 4184
Published: April 22, 2023
Alzheimer's
disease
(AD)
is
now
classified
as
a
silent
pandemic
due
to
concerning
current
statistics
and
future
predictions.
Despite
this,
no
effective
treatment
or
accurate
diagnosis
currently
exists.
The
negative
impacts
of
invasive
techniques
the
failure
clinical
trials
have
prompted
shift
in
research
towards
non-invasive
treatments.
In
light
there
growing
need
for
early
detection
AD
through
approaches.
abundance
data
generated
by
such
blood
component
monitoring,
imaging,
wearable
sensors,
bio-sensors
not
only
offers
platform
more
reliable
bio-marker
developments
but
also
significantly
reduces
patient
pain,
psychological
impact,
risk
complications,
cost.
Nevertheless,
are
challenges
computational
analysis
large
quantities
generated,
which
can
provide
crucial
information
AD.
Hence,
integration
artificial
intelligence
deep
learning
critical
addressing
these
challenges.
This
work
attempts
examine
some
facts
situation
approaches
leveraging
potential
tools
utilizing
vast
amount
order
revolutionize
according
principles
new
medicine
era.
Brain,
Journal Year:
2023,
Volume and Issue:
147(1), P. 12 - 25
Published: Aug. 2, 2023
Over
the
past
several
years,
there
has
been
a
surge
in
blood
biomarker
studies
examining
value
of
plasma
or
serum
neurofilament
light
(NfL)
as
neurodegeneration
for
Alzheimer's
disease.
However,
have
limited
efforts
to
combine
existing
findings
assess
utility
NfL
In
addition,
we
still
need
better
insight
into
specific
aspects
that
are
reflected
by
elevated
concentration
NfL.
this
review,
survey
literature
on
cross-sectional
and
longitudinal
relationships
between
blood-based
levels
other,
neuroimaging-based,
indices
individuals
continuum.
Then,
based
classification
established
FDA-NIH
Biomarker
Working
group,
determine
marker
monitoring
disease
status
(i.e.
biomarker)
predicting
severity
older
adults
with
without
cognitive
decline
prognostic
risk/susceptibility
biomarker).
The
current
suggest
exhibits
great
promise
because
an
increased
level
appears
reflect
atrophy,
hypometabolism
white
matter
integrity,
particularly
brain
regions
typically
affected
Longitudinal
evidence
indicates
can
be
useful
not
only
progression
patients
but
also
susceptibility/risk
likelihood
abnormal
alterations
structure
function
cognitively
unimpaired
higher
risk
developing
(e.g.
those
amyloid-β).
There
limitations
research,
discussed
review.
Nevertheless,
extant
strongly
suggests
serve
valuable
susceptibility
disease-related
clinical
settings,
well
research
settings.
Alzheimer s & Dementia,
Journal Year:
2024,
Volume and Issue:
20(5), P. 3251 - 3269
Published: March 19, 2024
Abstract
INTRODUCTION
Although
glymphatic
function
is
involved
in
Alzheimer's
disease
(AD),
its
potential
for
predicting
the
pathological
and
clinical
progression
of
AD
sequential
association
with
core
biomarkers
poorly
understood.
METHODS
Whole‐brain
activity
was
measured
by
diffusion
tensor
image
analysis
along
perivascular
space
(DTI‐ALPS)
participants
dementia
(
n
=
47),
mild
cognitive
impairment
(MCI;
137),
normal
controls
235)
from
Disease
Neuroimaging
Initiative.
RESULTS
ALPS
index
significantly
lower
than
MCI
or
controls.
Lower
associated
faster
changes
amyloid
positron
emission
tomography
(PET)
burden
signature
region
interest
volume,
higher
risk
amyloid‐positive
transition
progression,
rates
amyloid‐
neurodegeneration‐related
decline.
Furthermore,
associations
decline
were
fully
mediated
PET
brain
atrophy.
DISCUSSION
Glymphatic
failure
may
precede
pathology,
predicts
deposition,
neurodegeneration,
AD.
Highlights
The
(ALPS)
reduced
patients
(AD)
dementia,
prodromal
AD,
preclinical
predicted
accelerated
beta
(Aβ)
Aβ‐positive
transition.
decrease
occurs
before
cerebrospinal
fluid
Aβ42
reaches
positive
threshold.
atrophy,
Aβ
atrophy
link
Protein & Cell,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 11, 2024
Abstract
Alzheimer’s
disease
(AD),
the
leading
cause
of
dementia,
is
characterized
by
accumulation
amyloid
plaques
and
neurofibrillary
tangles
in
brain.
This
condition
casts
a
significant
shadow
on
global
health
due
to
its
complex
multifactorial
nature.
In
addition
genetic
predispositions,
development
AD
influenced
myriad
risk
factors,
including
aging,
systemic
inflammation,
chronic
conditions,
lifestyle,
environmental
exposures.
Recent
advancements
understanding
pathophysiology
are
paving
way
for
enhanced
diagnostic
techniques,
improved
assessment,
potentially
effective
prevention
strategies.
These
discoveries
crucial
quest
unravel
complexities
AD,
offering
beacon
hope
management
treatment
options
millions
affected
this
debilitating
disease.
Biomolecules,
Journal Year:
2024,
Volume and Issue:
14(1), P. 93 - 93
Published: Jan. 11, 2024
Recent
advances
in
blood-based
biomarkers
of
Alzheimer’s
Disease
(AD)
show
great
promise
for
clinical
applications,
offering
a
less
invasive
alternative
to
current
cerebrospinal
fluid
(CSF)
measures.
However,
the
relationships
between
these
and
specific
cognitive
functions,
as
well
their
utility
predicting
longitudinal
decline,
are
not
yet
fully
understood.
This
descriptive
review
surveys
literature
from
2018
2023,
focusing
on
associations
amyloid-β
(Aβ),
Total
Tau
(t-Tau),
Phosphorylated
(p-Tau),
Neurofilament
Light
(NfL),
Glial
Fibrillary
Acidic
Protein
(GFAP)
with
The
reviewed
studies
heterogeneous,
varying
design
population
(cognitively
unimpaired,
cognitively
impaired,
or
mixed
populations),
results
that
sometimes
conflicting.
Generally,
cognition
positively
correlates
Aβ
levels,
especially
when
evaluated
through
Aβ42/Aβ40
ratio.
In
contrast,
t-Tau,
p-Tau,
Nfl,
GFAP
levels
typically
negative
correlation
performance.
While
p-Tau
measures
generally
exhibit
stronger
functions
compared
other
biomarkers,
no
single
blood
marker
has
emerged
being
predominantly
linked
domain.
These
findings
contribute
our
understanding
complex
relationship
performance
underscore
potential
assessments
cognition.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: Jan. 1, 2025
Abstract
INTRODUCTION
Blood‐based
biomarkers
seem
promising
for
the
diagnosis
of
Alzheimer's
disease
(AD).
METHODS
We
performed
a
systematic
review
and
meta‐analysis
on
potential
blood
phosphorylated
Tau181
(p‐tau181)
to
differentiate
amyloid‐positive
(A+)
amyloid‐negative
(A−)
subjects.
Two
meta‐analyses
were
conducted,
showing
mean
p‐tau
values
in
cerebrospinal
fluid
(CSF)
A+
A−
group,
second
comparing
concentrations
CSF
among
versus
A‐
participants,
by
laboratory
assessment
method.
RESULTS
Eighteen
studies
(2764
5646
subjects)
included.
The
single‐group
showed
higher
p‐tau181
than
group.
In
head‐to‐head
meta‐analysis,
reliably
differentiated
patients
from
participants.
DISCUSSION
Regardless
technique,
differentiates
Therefore,
it
might
have
important
applications
early
inclusion
clinical
trials
AD
patients.
Highlights
role
blood‐based
discriminating
is
still
uncertain.
Blood
distinguishes
allow
trials.