medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 24, 2024
Several
studies
have
identified
blood
proteins
that
influence
brain
aging
performance
in
mice,
yet
translating
these
findings
to
humans
remains
challenging.
Here
we
found
higher
predicted
plasma
levels
of
Tissue
Inhibitor
Metalloproteinases
2
(TIMP2)
were
significantly
associated
with
improved
global
cognition
and
memory
humans.
We
first
12
or
rejuvenating
effects
on
murine
brains
through
a
systematic
review.
Using
protein
quantitative
trait
loci
data
for
proteins,
computed
polygenic
scores
as
proxies
validated
their
prediction
accuracy
two
independent
cohorts.
Association
models
between
genetic
cognitive
highlighted
the
significance
TIMP2,
also
when
stratified
by
sex,
Molecular Neurodegeneration,
Journal Year:
2024,
Volume and Issue:
19(1)
Published: Jan. 3, 2024
Abstract
Triggering
receptor
expressed
on
myeloid
cells
2
(TREM2)
plays
a
critical
role
in
microglial
activation,
survival,
and
apoptosis,
as
well
Alzheimer’s
disease
(AD)
pathogenesis.
We
previously
reported
the
MS4A
locus
key
modulator
for
soluble
TREM2
(sTREM2)
cerebrospinal
fluid
(CSF).
To
identify
additional
novel
genetic
modifiers
of
sTREM2,
we
performed
largest
genome-wide
association
study
(GWAS)
identified
four
loci
CSF
sTREM2
3,350
individuals
European
ancestry.
Through
multi-ethnic
fine
mapping,
two
independent
missense
variants
(p.M178V
MS4A4A
p.A112T
MS4A6A
)
that
drive
showed
an
epistatic
effect
levels
AD
risk.
The
chr
6
contains
rare
(rs75932628
p.R47H,
P
=7.16×10
-19
;
rs142232675
p.D87N,
=2.71×10
-10
associated
with
third
TGFBR2
RBMS3
gene
region
(rs73823326,
=3.86×10
-9
included
regulatory
variant
microglia-specific
chromatin
loop
promoter
.
Using
cell-based
assays
demonstrate
overexpression
knock-down
TGFBR2,
but
not
RBMS3,
leads
to
significant
changes
sTREM2.
last
is
located
APOE
(rs11666329,
=2.52×10
-8
),
demonstrated
this
signal
was
genotype.
This
colocalized
cis-eQTL
NECTIN2
brain
cortex
cis-pQTL
CSF.
Overexpression
led
increase
supporting
findings.
our
knowledge,
date
aimed
at
identifying
provided
insights
into
loci,
well-known
risk
genes,
modulators
involved
biology.
BMJ Open,
Journal Year:
2024,
Volume and Issue:
14(3), P. e081635 - e081635
Published: March 1, 2024
Introduction
Loss
of
blood-brain
barrier
(BBB)
integrity
is
hypothesised
to
be
one
the
earliest
microvascular
signs
Alzheimer’s
disease
(AD).
Existing
BBB
imaging
methods
involve
contrast
agents
or
ionising
radiation,
and
pose
limitations
in
terms
cost
logistics.
Arterial
spin
labelling
(ASL)
perfusion
MRI
has
been
recently
adapted
map
permeability
non-invasively.
The
DEveloping
BBB-ASL
as
a
non-Invasive
Early
biomarker
(DEBBIE)
consortium
aims
develop
this
modified
ASL-MRI
technique
for
patient-specific
robust
assessments.
This
article
outlines
study
design
DEBBIE
cohorts
focused
on
investigating
potential
an
early
AD
(DEBBIE-AD).
Methods
analysis
DEBBIE-AD
consists
multicohort
enrolling
participants
with
subjective
cognitive
decline,
mild
impairment
AD,
well
age-matched
healthy
controls,
from
13
cohorts.
precision
accuracy
will
evaluated
participants.
clinical
value
by
comparing
results
both
established
novel
biomarkers.
provide
evidence
ability
measure
demonstrate
its
utility
AD-related
pathologies.
Ethics
dissemination
approval
was
obtained
10
cohorts,
pending
3
main
trial
each
secondary
endpoints
submitted
publication
peer-reviewed
journal.
Cell,
Journal Year:
2024,
Volume and Issue:
187(22), P. 6309 - 6326.e15
Published: Sept. 26, 2024
In
this
high-throughput
proteomic
study
of
autosomal
dominant
Alzheimer's
disease
(ADAD),
we
sought
to
identify
early
biomarkers
in
cerebrospinal
fluid
(CSF)
for
monitoring
and
treatment
strategies.
We
examined
CSF
proteins
286
mutation
carriers
(MCs)
177
non-carriers
(NCs).
The
developed
multi-layer
regression
model
distinguished
with
different
pseudo-trajectories
between
these
groups.
validated
our
findings
independent
ADAD
as
well
sporadic
AD
datasets
employed
machine
learning
develop
validate
predictive
models.
Our
identified
137
distinct
trajectories
MCs
NCs,
including
eight
that
changed
before
traditional
biomarkers.
These
are
grouped
into
three
stages:
stage
(stress
response,
glutamate
metabolism,
neuron
mitochondrial
damage),
middle
(neuronal
death,
apoptosis),
late
presymptomatic
(microglial
changes,
cell
communication).
revealed
a
six-protein
subset
more
effectively
differentiated
from
compared
conventional
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 14, 2024
Alzheimer's
Disease
(AD)
biomarker
measurement
is
key
to
aid
in
the
diagnosis
and
prognosis
of
disease.
In
research
setting,
participant
recruitment
retention
optimization
sample
use,
one
main
challenges
that
observational
studies
face.
Thus,
obtaining
accurate
established
measurements
for
stratification
maximizing
use
precious
samples
key.
Accurate
technologies
are
currently
available
biomarkers,
mainly
immunoassays
immunoprecipitation
liquid
chromatography-mass
spectrometry
(IP-MS),
some
them
already
being
used
clinical
settings.
Although
immunoassays-
IP-MS
based
platforms
provide
multiplexing
several
different
coding
proteins
there
not
a
current
platform
can
measure
all
stablished
emerging
biomarkers
run.
The
NUcleic
acid
Linked
Immuno-Sandwich
Assay
(NULISA
Scientific Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: July 12, 2024
Abstract
The
Knight-Alzheimer
Disease
Research
Center
(Knight-ADRC)
at
Washington
University
in
St.
Louis
has
pioneered
and
led
worldwide
seminal
studies
that
have
expanded
our
clinical,
social,
pathological,
molecular
understanding
of
Alzheimer
Disease.
Over
more
than
40
years,
research
volunteers
been
recruited
to
participate
cognitive,
neuropsychologic,
imaging,
fluid
biomarkers,
genomic
multi-omic
studies.
Tissue
longitudinal
data
collected
foster,
facilitate,
support
on
dementia
aging.
Genetics
high
throughput
-
omics
core
(GHTO)
26,000
biological
samples
from
6,625
Knight-ADRC
participants.
Samples
available
include
DNA,
RNA,
non-fasted
plasma,
cerebrospinal
pellets,
peripheral
blood
mononuclear
cells.
GHTO
performed
deep
profiling
(genomic,
transcriptomic,
epigenomic,
proteomic,
metabolomic)
large
number
brain
(n
=
2,117),
CSF
2,012)
blood/plasma
8,265)
with
the
goal
identifying
novel
risk
protective
variants,
identify
biomarkers
causal
druggable
targets.
Overall,
resources
increase
Alzheimer s & Dementia,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 22, 2024
Abstract
INTRODUCTION
In
the
research
setting,
obtaining
accurate
established
biomarker
measurements
and
maximizing
use
of
precious
samples
is
key.
Accurate
technologies
are
available
for
Alzheimer's
disease
(AD),
but
no
platform
can
measure
all
emerging
biomarkers
in
one
run.
The
NUcleic
acid
Linked
Immuno‐Sandwich
Assay
(NULISA)
a
technology
that
requires
15
µL
sample
to
more
than
100
analytes.
METHODS
We
compared
AD‐relevant
included
NULISA
against
validated
assays
cerebrospinal
fluid
(CSF)
plasma.
RESULTS
CSF
measures
amyloid
beta
42/40,
phosphorylated
tau
(p‐tau)217
highly
correlated
when
measured
by
immunoassay,
mass
spectrometry,
or
NULISA.
plasma,
p‐tau217
performance
similar
reported
with
other
predicting
amyloidosis.
Other
show
wide
range
correlation
values
depending
on
platform.
DISCUSSION
multiplexed
produces
reliable
results
useful
settings,
advantage
measuring
additional
using
minimal
volume.
Highlights
tested
novel
dementia
setting.
Cerebrospinal
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 16, 2024
Abstract
In
Alzheimer’s
disease
(AD),
the
most
common
cause
of
dementia,
females
have
higher
prevalence
and
faster
progression,
but
sex-specific
molecular
findings
in
AD
are
limited.
Here,
we
comprehensively
examined
validated
7,006
aptamers
targeting
6,162
proteins
cerebral
spinal
fluid
(CSF)
from
2,077
amyloid/tau
positive
cases
controls
to
identify
proteomic
signatures
AD.
discovery
(N=1,766),
identified
330
male-specific
121
female-specific
alternations
CSF
(FDR
<0.05).
These
strongly
predicted
positivity
(AUC=0.98
males;
0.99
females),
significantly
than
those
with
age,
sex,
APOE-ε4
(AUC=0.85).
The
were
well
(r≥0.5)
Stanford
study
(N=108)
Emory
(N=148).
Biological
follow-up
these
led
sex
differences
cell-type
specificity,
pathways,
interaction
networks,
drug
targets.
Male-specific
proteins,
enriched
astrocytes
oligodendrocytes,
involved
postsynaptic
axon-genesis.
male
network
exhibited
direct
connections
among
152
highlighted
PTEN,
NOTCH1,
FYN,
MAPK8
as
hubs.
Drug
target
suggested
melatonin
(used
for
sleep-wake
cycle
regulation),
nabumetone
pain),
daunorubicin,
verteporfin
treating
males.
contrast,
neurons,
phosphoserine
residue
binding
including
cytokine
activities.
female
exhibits
strong
51
JUN
14-3-3
(YWHAG
YWHAZ)
biperiden
(for
muscle
control
Parkinson’s
disease),
nimodipine
vasospasm),
quinostatin
ethaverine
females.
Together,
our
provide
mechanistic
understanding
risk
insights
into
clinically
translatable
interventions.
International Journal of Current Pharmaceutical Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 10
Published: Jan. 15, 2025
Alzheimer’s
disease
(AD)
is
a
prevalent
neurodegenerative
disorder
primarily
affecting
individuals
over
60.
It
multifactorial
driven
by
both
modifiable
factors,
such
as
lifestyle,
diet,
and
prior
health
conditions,
well
non-modifiable
like
age,
genetics,
family
history.
The
key
pathological
features
of
AD
include
the
buildup
amyloid
β
plaques
neurofibrillary
tangles
resulting
from
hyperphosphorylated
tau
proteins
in
brain.
Biomarkers
protein
levels
cerebrospinal
fluid
(CSF)
blood
are
essential
for
diagnosing
tracking
progression.
Current
research
focuses
on
developing
drugs
targeting
multiple
aspects
pathology,
including
inflammation,
oxidative
stress,
synaptic
dysfunction,
accumulation.
These
treatments
aim
to
slow
cognitive
decline
neuronal
damage.
Given
complexity
AD,
multi-targeted
therapeutic
approaches
being
explored
enhance
treatment
efficacy.
This
review
provides
an
overview
risk
biomarkers
used
diagnosis,
latest
advances
clinical
drug
development.
JAMA Network Open,
Journal Year:
2025,
Volume and Issue:
8(3), P. e250562 - e250562
Published: March 11, 2025
Importance
Age,
sex,
and
apolipoprotein
E
(
APOE
)
are
the
strongest
risk
factors
for
late-onset
Alzheimer
disease
(AD).
The
role
of
in
AD
varies
with
sex
ancestry.
While
association
biomarkers
also
across
ancestry,
no
study
has
systematically
investigated
both
sex-specific
ancestry
differences
on
cerebrospinal
fluid
(CSF)
together,
resulting
limited
insights
generalizability.
Objective
To
investigate
-ε4
3
core
CSF
ancestries.
Design,
Setting,
Participants
This
cohort
examined
(amyloid
β1-42
[Aβ42],
phosphorylated
tau
181
[p-tau],
total
tau,
participants
from
20
cohorts
July
1,
1985,
to
March
31,
2020.
These
individuals
were
grouped
into
African,
Asian,
European
ancestries
based
genetic
data.
Data
analyses
conducted
June
2023,
November
10,
2024.
Exposure
Sex
(male
or
female)
-ε4.
Main
Outcomes
Measures
associations
biomarker
levels
assessed
within
each
group,
adjusting
age.
Meta-analyses
performed
identify
these
Sensitivity
exclude
potential
influence
-ε2
allele.
Results
included
4592
(mean
[SD]
age,
70.8
[10.2]
years;
2425
[52.8%]
female;
119
[2.6%]
52
[1.1%]
4421
[96.3%]
European).
Higher
dosage
scores
associated
lower
Aβ42
values
(β
[SE],
−0.58
[0.02],
P
&lt;
.001),
indicating
more
severe
pathology;
seen
men
women
separately
jointly.
was
statistically
greater
−0.63
[0.03];
.001)
vs
−0.52
=
.01
interaction).
Women
had
higher
p-tau,
neurofibrillary
pathology.
between
p-tau
expected
direction
(higher
values)
sexes,
but
difference
sexes
significant
only
those
African
0.10
[0.18];
.57
men;
β
0.66
[0.17];
.001
women;
.03
neuronal
damage.
stronger
than
0.20
[0.22];
.36
0.65
[0.22],
.004
[
.16
interaction])
0.36
0.27
[0.03],
.053
interaction]);
found
Asian
cohort.
analysis
excluding
APOE-
ε2
carriers
yielded
similar
results.
Conclusions
Relevance
In
this
study,
allele
accumulation
men.
findings
underscore
importance
considering
-ε4’s
pathology
mechanisms
AD.
Although
provides
robust
evidence
complex
interplay
further
research
is
needed
fully
understand
other
differences.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 18, 2025
Alzheimer
disease
(AD)
is
a
complex
neurodegenerative
disorder.
Proteomic
studies
have
been
instrumental
in
identifying
AD-related
proteins
present
the
brain,
cerebrospinal
fluid,
and
plasma.
This
study
comprehensively
examined
6,905
plasma
more
than
3,300
well-characterized
individuals
to
identify
new
proteins,
pathways,
predictive
model
for
AD.
With
three-stage
analysis
(discovery,
replication,
meta-analysis)
we
identified
416
(294
novel)
associated
with
clinical
AD
status
findings
were
further
validated
two
external
datasets
including
7,000
samples
seven
previous
studies.
Pathway
revealed
that
these
involved
endothelial
blood
hemostatic
(ACHE,
SMOC1,
SMOC2,
VEGFA,
VEGFB,
SPARC),
capturing
brain
barrier
(BBB)
disruption
due
disease.
Other
pathways
known
processes
implicated
AD,
such
as
lipid
dysregulation
(APOE,
BIN1,
CLU,
SMPD1,
PLA2G12A,
CTSF)
or
immune
response
(C5,
CFB,
DEFA5,
FBXL4),
which
includes
be
part
of
causal
pathway
indicating
some
are
pathogenesis.
An
enrichment
neural
(axonal
guidance
signaling
myelination
signaling)
indicates
that,
fact,
proteomics
capture
brain-
disease-related
changes,
can
lead
identification
novel
biomarkers
models.
Machine
learning
was
employed
set
highly
both
(AUC
>
0.72)
biomarker-defined
0.88),
replicated
multiple
cohorts
well
orthogonal
platforms.
These
extensive
underscore
potential
using
early
detection
monitoring
potentially
guiding
treatment
decisions.