bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: June 18, 2023
With
the
emergence
of
microglia-modulating
therapies
there
is
an
urgent
need
for
reliable
biomarkers
to
evaluate
microglial
activation
states.Using
mouse
models
and
human
induced
pluripotent
stem
cell-derived
microglia
(hiMGL),
which
were
genetically
modified
yield
most
opposite
homeostatic
(
TREM2-
knockout)
disease-associated
GRN
-knockout)
states,
we
identified
activity-dependent
markers.
Non-targeted
mass
spectrometry
was
used
identify
changes
in
cerebrospinal
(CSF)
proteome
Grn
-
Trem2
-knockout
mice.
Additionally,
analyzed
TREM2
hiMGL
their
conditioned
media.
Candidate
marker
proteins
tested
two
independent
patient
cohorts,
ALLFTD
cohort
with
11
mutation
carriers
12
non-carriers,
as
well
proteomic
data
set
available
from
European
Medical
Information
Framework
Alzheimer's
Disease
Multimodal
Biomarker
Discovery
(EMIF-AD
MBD).We
between
states
fluid
(CSF),
cell
lysates
For
further
verification,
CSF
heterozygous
suffering
frontotemporal
dementia
(FTD).
We
a
panel
six
(FABP3,
MDH1,
GDI1,
CAPG,
CD44,
GPNMB)
potential
indicators
activation.
Moreover,
confirmed
three
these
MDH1)
be
significantly
elevated
AD
patients.
In
AD,
markers
differentiated
amyloid-positive
cases
mild
cognitive
impairment
(MCI)
amyloid-negative
individuals.The
candidate
reflect
activity
may
relevant
monitoring
response
clinical
practice
trials
modulating
amyloid
deposition.
finding
that
differentiate
MCI
suggests
associate
very
early
immune
seeded
amyloid.
This
consistent
our
previous
findings
DIAN
(Dominantly
Inherited
Network)
cohort,
where
soluble
increases
21
years
before
symptom
onset.
amyloidogenesis,
seeding
limited
by
physiologically
active
supporting
protective
role.
The
biological
functions
some
main
candidates
also
emphasize
lipid
dysmetabolism
common
feature
neurodegenerative
disorders.This
work
supported
Deutsche
Forschungsgemeinschaft
(DFG,
German
Research
Foundation)
under
Germany's
Excellence
Strategy
within
framework
Munich
Cluster
Systems
Neurology
(EXC
2145
SyNergy
ID
390857198
CH,
SFL
DP)
Koselleck
Project
HA1737/16-1
(to
CH).
Alzheimer s Research & Therapy,
Journal Year:
2022,
Volume and Issue:
14(1)
Published: Nov. 17, 2022
Abstract
Robust
and
accessible
biomarkers
that
can
capture
the
heterogeneity
of
Alzheimer’s
disease
its
diverse
pathological
processes
are
urgently
needed.
Here,
we
undertook
an
investigation
cerebrospinal
fluid
(CSF)
plasma
from
same
subjects
(
n=
18
control
,
AD)
using
three
different
proteomic
platforms—SomaLogic
SomaScan,
Olink
proximity
extension
assay,
tandem
mass
tag-based
spectrometry—to
assess
which
protein
markers
in
these
two
biofluids
may
serve
as
reliable
AD
pathophysiology
observed
unbiased
brain
proteomics
studies.
Median
correlation
overlapping
measurements
across
platforms
CSF
r
~0.7)
~0.6)
was
good,
with
more
variability
plasma.
The
SomaScan
technology
provided
most
Surprisingly,
many
proteins
altered
were
found
to
be
opposite
direction
plasma,
including
important
members
co-expression
modules.
An
exception
SMOC1,
a
key
member
matrisome
module
associated
amyloid-β
deposition
AD,
elevated
both
Protein
analysis
on
greater
than
7000
9500
all
revealed
strong
changes
modules
related
autophagy,
ubiquitination,
sugar
metabolism
CSF,
endocytosis
Cross-platform
cross-biofluid
represents
promising
approach
for
biomarker
development.
Science Translational Medicine,
Journal Year:
2024,
Volume and Issue:
16(753)
Published: June 26, 2024
Alzheimer’s
disease
(AD)
is
currently
defined
by
the
aggregation
of
amyloid-β
(Aβ)
and
tau
proteins
in
brain.
Although
biofluid
biomarkers
are
available
to
measure
Aβ
pathology,
few
markers
complex
pathophysiology
that
associated
with
these
two
cardinal
neuropathologies.
Here,
we
characterized
proteomic
landscape
cerebrospinal
fluid
(CSF)
changes
pathology
300
individuals
using
different
technologies—tandem
mass
tag
spectrometry
SomaScan.
Integration
both
data
types
allowed
for
generation
a
robust
protein
coexpression
network
consisting
34
modules
derived
from
5242
measurements,
including
disease-relevant
autophagy,
ubiquitination,
endocytosis,
glycolysis.
Three
strongly
apolipoprotein
E
ε4
(
APOE
ε4)
AD
risk
genotype
mapped
oxidant
detoxification,
mitogen-associated
kinase
signaling,
neddylation,
mitochondrial
biology
overlapped
previously
described
lipoprotein
module
serum.
Alterations
all
three
blood
were
dementia
more
than
20
years
before
diagnosis.
Analysis
CSF
samples
an
phase
2
clinical
trial
atomoxetine
(ATX)
demonstrated
abnormal
elevations
glycolysis
module—the
most
correlated
cognitive
function—were
reduced
ATX
treatment.
Clustering
based
on
their
profiles
revealed
heterogeneity
pathological
not
fully
reflected
tau.
Frontiers in Systems Biology,
Journal Year:
2023,
Volume and Issue:
3
Published: April 12, 2023
Large
scale
-omics
datasets
can
provide
new
insights
into
normal
and
disease-related
biology
when
analyzed
through
a
systems
framework.
However,
technical
artefacts
present
in
most
due
to
variations
sample
preparation,
batching,
platform
settings,
personnel,
other
experimental
procedures
prevent
useful
analyses
of
such
data
without
prior
adjustment
for
these
factors.
Here,
we
demonstrate
tunable
median
polish
ratio
(TAMPOR)
approach
batch
effect
correction
agglomeration
multiple,
multi-batch,
site-specific
cohorts
single
analyte
abundance
matrix
that
is
suitable
analyses.
We
illustrate
the
utility
versatility
TAMPOR
four
distinct
use
cases
where
method
has
been
applied
different
proteomic
datasets,
some
which
contain
specific
defect
must
be
addressed
analysis.
compare
quality
control
metrics
sources
variance
before
after
application
show
effective
at
removing
effects
unwanted
data.
also
how
used
harmonize
even
are
acquired
using
analytical
approaches.
powerful
flexible
cleaning
harmonization
downstream
Molecular Neurodegeneration,
Journal Year:
2023,
Volume and Issue:
18(1)
Published: Feb. 21, 2023
Abstract
Background
The
protease
BACE1
is
a
major
drug
target
for
Alzheimer’s
disease,
but
chronic
inhibition
associated
with
non-progressive
cognitive
worsening
that
may
be
caused
by
modulation
of
unknown
physiological
substrates.
Methods
To
identify
in
vivo-relevant
substrates,
we
applied
pharmacoproteomics
to
non-human-primate
cerebrospinal
fluid
(CSF)
after
acute
treatment
BACE
inhibitors.
Results
Besides
SEZ6,
the
strongest,
dose-dependent
reduction
was
observed
pro-inflammatory
cytokine
receptor
gp130/IL6ST,
which
establish
as
an
vivo
substrate.
Gp130
also
reduced
human
CSF
from
clinical
trial
inhibitor
and
plasma
BACE1-deficient
mice.
Mechanistically,
demonstrate
directly
cleaves
gp130,
thereby
attenuating
membrane-bound
gp130
increasing
soluble
abundance
controlling
function
neuronal
IL-6
signaling
survival
upon
growth-factor
withdrawal.
Conclusion
new
modulator
function.
BACE1-cleaved,
serve
pharmacodynamic
activity
marker
reduce
occurrence
side
effects
humans.
Graphical
abstract
Science Translational Medicine,
Journal Year:
2025,
Volume and Issue:
17(784)
Published: Feb. 5, 2025
We
used
an
untargeted
mass
spectrometric
approach,
tandem
tag
proteomics,
for
the
identification
of
proteomic
signatures
in
genetic
frontotemporal
dementia
(FTD).
A
total
238
cerebrospinal
fluid
(CSF)
samples
from
Genetic
FTD
Initiative
were
analyzed,
including
107
presymptomatic
(44
C9orf72
,
38
GRN
and
25
MAPT
)
55
symptomatic
(27
17
11
mutation
carriers
as
well
76
mutation-negative
controls
(“noncarriers”).
found
shared
distinct
alterations
each
form
FTD.
Among
proteins
significantly
altered
compared
with
noncarriers,
we
that
a
set
neuronal
pentraxin
2
fatty
acid
binding
protein
3
changed
across
all
three
forms
patients
Alzheimer’s
disease
previously
published
datasets.
observed
differential
changes
lysosomal
among
marked
abundance
decreases
but
not
other
carriers.
Further,
identified
mutation-associated
already
evident
Weighted
gene
coexpression
network
analysis
combined
ontology
annotation
revealed
clusters
enriched
neurodegeneration
glial
responses
synapse-
or
lysosome-related
indicating
these
are
central
biological
processes
affected
These
correlated
measures
severity
associated
cognitive
decline.
This
study
CSF
FTD,
providing
insights
into
pathological
involved
disease.
In
addition,
warrant
further
exploration
diagnostic
prognostic
biomarker
candidates.
Nature Medicine,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 31, 2025
Rates
of
cognitive
decline
in
Alzheimer's
disease
(AD)
are
extremely
heterogeneous.
Although
biomarkers
for
amyloid-beta
(Aβ)
and
tau
proteins,
the
hallmark
AD
pathologies,
have
improved
pathology-based
diagnosis,
they
explain
only
20-40%
variance
AD-related
impairment
(CI).
To
discover
novel
CI
AD,
we
performed
cerebrospinal
fluid
(CSF)
proteomics
on
3,397
individuals
from
six
major
prospective
case-control
cohorts.
Synapse
proteins
emerged
as
strongest
correlates
CI,
independent
Aβ
tau.
Using
machine
learning,
derived
CSF
YWHAG:NPTX2
synapse
protein
ratio,
which
explained
27%
beyond
pTau181:Aβ42,
11%
positron
emission
tomography,
28%
neurofilament,
growth-associated
43
neurogranin
Aβ+
phosphorylated
tau+
(A+T1+)
individuals.
also
increased
with
normal
aging
20
years
before
estimated
symptom
onset
carriers
autosomal
dominant
mutations.
Regarding
prognosis,
predicted
conversion
A+T1+
cognitively
to
mild
(standard
deviation
increase
hazard
ratio
=
3.0,
P
7.0
×
10-4)
dementia
2.2,
8.2
10-16)
over
a
15-year
follow-up,
adjusting
neurogranin,
43,
age,
APOE4
sex.
We
developed
plasma
proteomic
signature
evaluated
13,401
samples,
partly
recapitulated
YWHAG:NPTX2.
Overall,
our
findings
underscore
robust
prognostic
biomarker
resilience
versus
progression,
highlight
potential
replacing
measurement
further
implicate
dysfunction
core
driver
dementia.
Molecular Neurodegeneration,
Journal Year:
2023,
Volume and Issue:
18(1)
Published: Sept. 29, 2023
With
the
emergence
of
microglia-modulating
therapies
there
is
an
urgent
need
for
reliable
biomarkers
to
evaluate
microglial
activation
states.Using
mouse
models
and
human
induced
pluripotent
stem
cell-derived
microglia
(hiMGL),
genetically
modified
yield
most
opposite
homeostatic
(TREM2-knockout)
disease-associated
(GRN-knockout)
states,
we
identified
activity-dependent
markers.
Non-targeted
mass
spectrometry
was
used
identify
proteomic
changes
in
cerebrospinal
fluid
(CSF)
Grn-
Trem2-knockout
mice.
Additionally,
analyzed
proteome
GRN-
TREM2-knockout
hiMGL
their
conditioned
media.
Candidate
marker
proteins
were
tested
two
independent
patient
cohorts,
ALLFTD
cohort
(GRN
mutation
carriers
versus
non-carriers),
as
well
data
set
available
from
EMIF-AD
MBD
study.We
between
states
CSF,
cell
lysates
For
further
verification,
CSF
heterozygous
GRN
suffering
frontotemporal
dementia
(FTD).
We
a
panel
six
(FABP3,
MDH1,
GDI1,
CAPG,
CD44,
GPNMB)
potential
indicators
activation.
Moreover,
confirmed
three
these
MDH1)
be
significantly
elevated
Alzheimer's
(AD)
patients.
Remarkably,
each
markers
differentiated
amyloid-positive
cases
with
mild
cognitive
impairment
(MCI)
amyloid-negative
individuals.The
candidate
reflect
activity
may
relevant
monitoring
response
clinical
practice
trials
modulating
amyloid
deposition.
finding
that
differentiate
MCI
AD
suggests
associate
very
early
immune
seeded
amyloid.
This
consistent
our
previous
findings
Dominantly
Inherited
Disease
Network
(DIAN)
cohort,
where
soluble
TREM2
increases
21
years
before
symptom
onset.
amyloidogenesis,
seeding
limited
by
physiologically
active
supporting
protective
role.
The
biological
functions
some
main
candidates
also
emphasize
lipid
dysmetabolism
common
feature
neurodegenerative
disorders.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 30, 2023
Abstract
Alzheimer’s
disease
(AD)
is
currently
defined
at
the
research
level
by
aggregation
of
amyloid-β
(Aβ)
and
tau
proteins
in
brain.
While
biofluid
biomarkers
are
available
to
measure
Aβ
pathology,
few
complex
pathophysiology
that
associated
with
these
two
cardinal
neuropathologies.
Here
we
describe
proteomic
landscape
cerebrospinal
fluid
(CSF)
changes
pathology
300
individuals
as
assessed
different
technologies—tandem
mass
tag
(TMT)
spectrometry
SomaScan.
Harmonization
integration
both
data
types
allowed
for
generation
a
robust
protein
co-expression
network
consisting
34
modules
derived
from
5242
measurements,
including
disease-relevant
autophagy,
ubiquitination,
endocytosis,
glycolysis.
Three
strongly
apolipoprotein
E
ε4
(
APOE
ε4)
AD
risk
genotype
mapped
oxidant
detoxification,
mitogen
kinase
(MAPK)
signaling,
neddylation,
mitochondrial
biology,
overlapped
previously
described
lipoprotein
module
serum.
Neddylation
detoxification/MAPK
signaling
had
negative
association
whereas
mitochondrion
positive
ε4.
The
directions
were
consistent
between
CSF
blood
independent
longitudinal
cohorts,
altered
levels
all
three
dementia
over
20
years
prior
diagnosis.
Dual-proteomic
platform
analysis
samples
an
phase
2
clinical
trial
atomoxetine
(ATX)
demonstrated
abnormal
elevations
glycolysis
module—the
most
correlated
cognitive
function—were
reduced
ATX
treatment.
Individuals
who
more
severe
glycolytic
baseline
responded
better
ATX.
Clustering
based
on
their
profiles
revealed
ten
groups
did
not
cleanly
stratify
status,
underscoring
heterogeneity
pathological
fully
reflected
tau.
proteomics
holds
promise
development
reflect
diverse
pathologies
use
trials
precision
medicine.