npj Aging,
Journal Year:
2023,
Volume and Issue:
9(1)
Published: July 6, 2023
Abstract
Advancements
in
omics
methodologies
have
generated
a
wealth
of
high-dimensional
Alzheimer’s
disease
(AD)
datasets,
creating
significant
opportunities
and
challenges
for
data
interpretation.
In
this
study,
we
utilized
multivariable
regularized
regression
techniques
to
identify
reduced
set
proteins
that
could
discriminate
between
AD
cognitively
normal
(CN)
brain
samples.
Utilizing
eNetXplorer
,
an
R
package
tests
the
accuracy
significance
family
elastic
net
generalized
linear
models,
identified
4
(SMOC1,
NOG,
APCS,
NTN1)
accurately
discriminated
(
n
=
31)
CN
22)
middle
frontal
gyrus
(MFG)
tissue
samples
from
Religious
Orders
Study
participants
with
83
percent
accuracy.
We
then
validated
signature
MFG
Baltimore
Longitudinal
Aging
using
leave-one-out
logistic
cross-validation,
finding
again
19)
receiver
operating
characteristic
curve
area
under
0.863.
These
were
strongly
correlated
burden
neurofibrillary
tangle
amyloid
pathology
both
study
cohorts.
additionally
tested
whether
these
differed
inferior
temporal
(ITG)
blood
serum
at
time
diagnosis
ROS
BLSA,
ITG
but
not
The
may
provide
mechanistic
insights
into
pathophysiology
AD,
methods
serve
as
basis
further
work
additional
datasets
AD.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: July 25, 2023
Abstract
Proteomic
studies
of
human
Alzheimer’s
disease
brain
tissue
have
potential
to
identify
protein
changes
that
drive
disease,
and
new
drug
targets.
Here,
we
analyse
38
published
proteomic
studies,
generating
a
map
in
across
thirteen
regions,
three
stages
(preclinical
mild
cognitive
impairment,
advanced
disease),
proteins
enriched
amyloid
plaques,
neurofibrillary
tangles,
cerebral
angiopathy.
Our
dataset
is
compiled
into
searchable
database
(NeuroPro).
We
found
848
were
consistently
altered
5
or
more
studies.
Comparison
early-stage
revealed
associated
with
synapse,
vesicle,
lysosomal
pathways
show
change
early
but
widespread
mitochondrial
expression
are
only
seen
disease.
Protein
similar
for
regions
considered
vulnerable
resistant.
This
resource
provides
insight
highlights
interest
further
study.
Nature Structural & Molecular Biology,
Journal Year:
2024,
Volume and Issue:
31(6), P. 903 - 909
Published: March 29, 2024
Abstract
Adult
individuals
with
Down
syndrome
(DS)
develop
Alzheimer
disease
(AD).
Whether
there
is
a
difference
between
AD
in
DS
and
regarding
the
structure
of
amyloid-β
(Aβ)
tau
filaments
unknown.
Here
we
report
Aβ
from
two
brains.
We
found
40
(types
IIIa
IIIb)
that
differ
those
previously
reported
sporadic
types
42
(I
II)
identical
to
familial
AD.
Tau
(paired
helical
straight
filaments)
were
AD,
supporting
notion
common
mechanism
through
which
amyloids
trigger
aggregation
tau.
This
knowledge
important
for
understanding
assessing
whether
adults
could
be
included
clinical
trials.
Nature Neuroscience,
Journal Year:
2024,
Volume and Issue:
27(10), P. 1880 - 1891
Published: Aug. 26, 2024
Abstract
Proteomics
can
shed
light
on
the
dynamic
and
multifaceted
alterations
in
neurodegenerative
disorders
like
Alzheimer’s
disease
(AD).
Combining
radioligands
measuring
β-amyloid
(Aβ)
plaques
tau
tangles
with
cerebrospinal
fluid
proteomics,
we
uncover
molecular
events
mirroring
different
stages
of
AD
pathology
living
humans.
We
found
127
differentially
abundant
proteins
(DAPs)
across
spectrum.
The
strongest
Aβ-related
were
mainly
expressed
glial
cells
included
SMOC1
ITGAM.
A
dozen
linked
to
ATP
metabolism
preferentially
neurons
independently
associated
tangle
load
accumulation.
Only
20%
DAPs
also
altered
other
diseases,
underscoring
AD’s
distinct
proteome.
Two
co-expression
modules
related,
respectively,
protein
microglial
immune
response
encompassed
most
DAPs,
opposing,
staggered
trajectories
along
continuum.
unveil
signatures
Aβ
proteinopathy
vivo,
offering
insights
into
complex
neural
responses
potential
biomarkers
therapeutics
targeting
stages.
Acta Neuropathologica,
Journal Year:
2025,
Volume and Issue:
149(1)
Published: Jan. 18, 2025
Down
syndrome
(DS)
is
strongly
associated
with
Alzheimer's
disease
(AD)
due
to
APP
overexpression,
exhibiting
Amyloid-β
(Aβ)
and
Tau
pathology
similar
early-onset
(EOAD)
late-onset
AD
(LOAD).
We
evaluated
the
Aβ
plaque
proteome
of
DS,
EOAD,
LOAD
using
unbiased
localized
proteomics
on
post-mortem
paraffin-embedded
tissues
from
four
cohorts
(n
=
20/group):
DS
(59.8
±
4.99
y/o),
EOAD
(63
4.07
(82.1
6.37
controls
(66.4
13.04).
identified
differentially
abundant
proteins
when
comparing
plaques
neighboring
non-plaque
tissue
(FDR
<
5%,
fold-change
>
1.5)
in
132),
192),
128),
43
plaque-associated
shared
across
all
groups.
Positive
correlations
were
observed
between
(R2
.77),
.73),
.67).
Top
gene
ontology
biological
processes
(GOBP)
included
lysosomal
transport
(p
1.29
×
10−5)
for
immune
system
regulation
4.33
lysosome
organization
0.029)
LOAD.
Protein
networks
revealed
a
protein
signature
involving
metabolism,
response,
functions.
In
vs.
control
tissue,
we
263,
269,
301
proteins,
65
altered
cohorts.
Non-plaque
showed
modest
.59)
.33)
compared
correlation
.79).
GOBP
term
groups
was
chromatin
remodeling
0.001),
additional
terms
including
extracellular
matrix,
protein–DNA
complexes
expression
Our
study
reveals
key
functional
characteristics
amyloid
LOAD,
highlighting
pathways
endo/lysosomal
functions
responses.
The
distinct
alterations
ECM
structure,
underscoring
unique
differences
subtypes.
findings
enhance
our
understanding
pathogenesis
identify
potential
biomarkers
therapeutic
targets.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Feb. 11, 2025
Murine
models
of
Alzheimer's
disease
(AD)
are
crucial
for
elucidating
mechanisms
but
have
limitations
in
fully
representing
AD
molecular
complexities.
Here
we
present
the
comprehensive,
age-dependent
brain
proteome
and
phosphoproteome
across
multiple
mouse
amyloidosis.
We
identified
shared
pathways
by
integrating
with
human
metadata
prioritized
components
multi-omics
analysis.
Collectively,
two
commonly
used
(5xFAD
APP-KI)
replicate
30%
protein
alterations;
additional
genetic
incorporation
tau
splicing
pathologies
increases
this
similarity
to
42%.
dissected
proteome-transcriptome
inconsistency
5xFAD
brains,
revealing
that
inconsistent
proteins
enriched
within
amyloid
plaque
microenvironment
(amyloidome).
Our
analysis
turnover
demonstrates
formation
delays
degradation
amyloidome
components,
including
Aβ-binding
autophagy/lysosomal
proteins.
proteomic
strategy
defines
pathways,
identifies
potential
targets,
underscores
contributes
discrepancies
during
progression.
This
study
maps
changes
models,
identifying
humans,
amyloid-driven
turnover,
differences,
offering
insights
into
targets.
Brain,
Journal Year:
2023,
Volume and Issue:
146(11), P. 4495 - 4507
Published: June 22, 2023
Autosomal
dominant
Alzheimer's
disease
(ADAD)
offers
a
unique
opportunity
to
study
pathophysiological
changes
in
relatively
young
population
with
few
comorbidities.
A
comprehensive
investigation
of
proteome
occurring
ADAD
could
provide
valuable
insights
into
AD-related
biological
mechanisms
and
uncover
novel
biomarkers
therapeutic
targets.
Furthermore,
might
serve
as
model
for
sporadic
AD,
but
in-depth
comparisons
are
lacking.
We
aimed
identify
dysregulated
CSF
proteins
determine
the
degree
overlap
AD.
measured
1472
PSEN1
or
APP
mutation
carriers
(n
=
22)
age-
sex-matched
controls
20)
from
Amsterdam
Dementia
Cohort
using
proximity
extension-based
immunoassays
(PEA).
compared
protein
abundance
between
groups
two-sided
t-tests
identified
enriched
pathways.
Using
same
panels
paired
plasma
samples,
we
investigated
correlations
their
counterparts.
Finally,
our
results
recently
published
PEA
data
an
international
cohort
AD
230)
non-AD
dementias
301).
All
statistical
analyses
were
false
discovery
rate-corrected.
detected
66
differentially
abundant
(65
increased,
1
decreased)
(q
<
0.05).
The
most
strongly
upregulated
(fold
change
>1.8)
related
immunity
(CHIT1,
ITGB2,
SMOC2),
cytoskeletal
structure
(MAPT,
NEFL)
tissue
remodelling
(TMSB10,
MMP-10).
Significant
CSF-plasma
found
SMOC2
LILR1B.
Of
expressed
proteins,
36
had
been
previously
cohort,
34
which
(94%)
also
significantly
strong
correlation
fold
these
both
cohorts
(rs
0.730,
P
0.001).
Twenty-nine
(81%)
among
patients
suspected
co-pathology.
This
proteomics
demonstrates
substantial
biochemical
similarities
suggesting
involvement
processes.
Besides
known
several
such
TMSB10,
MMP-10
SMOC2,
have
potential
biomarkers.
With
shared
changes,
findings
be
translatable
greatly
expedite
therapy
development.
Alzheimer s & Dementia,
Journal Year:
2024,
Volume and Issue:
20(6), P. 4043 - 4065
Published: May 7, 2024
Cerebrovascular
dysfunction
is
a
pathological
hallmark
of
Alzheimer's
disease
(AD).
Nevertheless,
detecting
cerebrovascular
changes
within
bulk
tissues
has
limited
our
ability
to
characterize
proteomic
alterations
from
less
abundant
cell
types.
Neurobiology of Disease,
Journal Year:
2024,
Volume and Issue:
191, P. 106404 - 106404
Published: Jan. 4, 2024
Aging
is
a
major
risk
factor
for
multiple
chronic
disorders
in
the
elderly
population,
including
Alzheimer's
disease
(AD)
and
Osteoporosis.
AD
progressive
neurodegenerative
characterized
by
memory
loss.
In
addition
to
dementia,
several
studies
have
shown
that
patients
experience
an
increased
rate
of
musculoskeletal
co-morbidities,
such
as
osteoporosis.
Since
tissue-specific
macrophages
contribute
both
diseases,
this
study
analyzed
microglia
transcriptome
mice
determine
common
gene
signature
involved
osteoclast
biology.
After
comparing
differentially
regulated
genes
from
GEO
data
sets
(GSE93824
GSE212277),
there
were
35
upregulated
89
downregulated
genes.
Of
these
genes,
seven
are
known
play
important
role
bone
homeostasis.
CSF1,
SPP1,
FAM20C,
Cst7
associated
with
osteoclastogenesis
inflammation.
Among
LILRA6,
MMP9,
COL18A1
formation
regulation.
We
further
validated
some
(CSF1,
Cst7,
SPP1)
cortex
models.
The
dysregulation
microglial
might
provide
insights
into
co-occurrence
osteoporosis
offer
potential
therapeutic
targets
combat
progression.
Science Advances,
Journal Year:
2024,
Volume and Issue:
10(14)
Published: April 5, 2024
Despite
the
importance
of
protein
glycosylation
to
brain
health,
current
knowledge
glycosylated
proteoforms
or
glycoforms
in
human
and
their
alterations
Alzheimer’s
disease
(AD)
is
limited.
Here,
we
report
a
proteome-wide
glycoform
profiling
study
AD
control
brains
using
intact
glycopeptide-based
quantitative
glycoproteomics
coupled
with
systems
biology.
Our
identified
more
than
10,000
N-glycoforms
from
nearly
1200
glycoproteins
uncovered
signatures
altered
glycan
modifications,
including
reduced
sialylation
N-glycan
branching
elongation
as
well
elevated
mannosylation
truncation
AD.
Network
analyses
revealed
higher-order
organization
glycoproteome
into
networks
coregulated
glycans
discovered
modules
associated
clinical
phenotype,
amyloid-β
accumulation,
tau
pathology.
findings
provide
valuable
insights
pathogenesis
rich
resource
changes
pave
way
forward
for
developing
glycosylation-based
therapies
biomarkers