bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 28, 2024
Abstract
Missing
values
are
a
major
challenge
in
the
analysis
of
mass
spectrometry
proteomics
data.
hinder
reproducibility,
decrease
statistical
power
for
identifying
differentially
expressed
(DE)
proteins
and
make
it
challenging
to
analyze
low-abundance
proteins.
We
present
Lupine,
deep
learning-based
method
imputing,
or
estimating,
missing
tandem
tag
(TMT)
Lupine
is,
our
knowledge,
first
imputation
that
is
designed
learn
jointly
from
many
datasets,
we
provide
evidence
this
approach
leads
more
accurate
predictions.
validated
by
applying
TMT
data
>
1,000
cancer
patient
samples
spanning
ten
types
Clinical
Proteomics
Tumor
Atlas
Consortium
(CPTAC).
outperforms
state
art
imputation,
identifies
DE
than
other
methods,
corrects
batch
effects,
learns
meaningful
representation
samples.
implemented
as
an
open
source
Python
package.
Alzheimer's
disease
(AD)
is
a
complex
neurodegenerative
disorder
with
substantial
genetic
influence.
While
genome-wide
association
studies
(GWAS)
have
identified
numerous
risk
loci
for
late-onset
AD
(LOAD),
the
functional
mechanisms
underlying
most
of
these
associations
remain
unresolved.
Large
genomic
rearrangements,
known
as
structural
variants
(SVs),
represent
promising
avenue
elucidating
such
within
some
loci.
By
leveraging
data
from
two
ongoing
cohort
aging
and
dementia,
Religious
Orders
Study
Rush
Memory
Aging
Project
(ROS/MAP),
we
performed
analysis
testing
20,205
common
SVs
1088
participants
whole
genome
sequencing
(WGS)
data.
A
range
other
age-related
clinical
neuropathologic
traits
were
examined.
First,
mapped
across
81
discovered
22
in
linkage
disequilibrium
(LD)
GWAS
lead
directly
associated
phenotypes
tested.
The
strongest
was
deletion
an
Alu
element
3'UTR
TMEM106B
gene,
high
LD
respective
locus
multiple
AD-related
disorders
(ADRD)
phenotypes,
including
tangles
density,
TDP-43,
cognitive
resilience.
this
also
linked
to
lower
protein
abundance.
We
found
22-kb
depression
ROS/MAP
bearing
similar
patterns
SNPs
at
IQCK
locus.
In
addition,
leveraged
our
catalog
SV-GWAS
replicate
characterize
independent
findings
SV-based
five
diseases.
Among
findings,
highlight
replication
significant
progressive
supranuclear
palsy
(PSP),
markers
17q21.31
MAPT
inversion
1483-bp
CYP2A13
locus,
along
suggestive
associations,
994-bp
duplication
LMNTD1
suggestively
3958-bp
DOCK5
Lewy
body
(LBD)
(P
=
3.36
×
10-4).
still
limited
sample
size,
study
highlights
utility
provides
valuable
resource
characterization
effects
pathogenesis.
Cells,
Год журнала:
2025,
Номер
14(4), С. 265 - 265
Опубликована: Фев. 12, 2025
Multiple
system
atrophy
(MSA)
is
a
progressive
neurodegenerative
synucleinopathy.
Differentiating
MSA
from
other
synucleinopathies,
especially
in
the
early
stages,
challenging
because
of
its
overlapping
symptoms
with
forms
Parkinsonism.
Thus,
there
pressing
need
to
clarify
underlying
biological
mechanisms
and
identify
specific
biomarkers
for
MSA.
The
metabolic
profile
cerebrospinal
fluid
(CSF)
known
be
altered
To
further
investigate
behind
changes,
we
created
network
CSF
metabolites
patients
analysed
these
changes
using
bioinformatic
software.
Acknowledging
limitations
metabolomics,
incorporated
proteomic
data
improve
overall
comprehensiveness
study.
Our
silico
predictions
showed
elevated
ROS,
cytoplasmic
inclusions,
white
matter
demyelination,
ataxia,
neurodegeneration,
ATP
concentration,
neurotransmitter
release,
oligodendrocyte
count
predicted
suppressed
samples.
Machine
learning
dimension
reduction
are
important
multi-omics
approaches
as
they
handle
large
amounts
data,
patterns,
make
while
reducing
variance
without
information
loss
generating
easily
visualised
plots
that
help
clusters,
or
outliers.
integrated
multiomics
machine
essential
elucidating
identifying
potential
diagnostic
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Март 15, 2025
Abstract
Alzheimer’s
disease
(AD)
is
characterized
by
significant
clinical
and
molecular
heterogeneity,
influenced
genetic
demographic
factors.
Using
an
unbiased,
network-driven
approach,
we
analyzed
the
cerebrospinal
fluid
(CSF)
proteome
from
431
individuals
(483
samples),
including
111
African
American
participants,
to
identify
core
protein
modules
associated
with
AD,
race,
sex,
age.
Our
analysis
revealed
ten
co-expression
linked
distinct
biological
pathways
cell
types,
many
of
which
correlated
established
AD
biomarkers
such
as
β-amyloid,
tau,
phosphorylated
tau.
To
further
resolve
applied
a
proteomic
subtyping
identifying
six
CSF
subtypes
spanning
pathological
spectrum.
These
were
validated
across
independent
cohorts,
aligning
previously
defined
subtypes,
those
neuronal
hyperplasticity,
immune
activation,
blood-brain
barrier
(BBB)
integrity.
Notably,
BBB
subtype,
enriched
Americans
men,
was
low
high
CSF/serum
albumin
ratios,
reduced
synaptic
levels.
This
subtype
also
exhibited
increased
levels
proteolytic
enzymes,
thrombin
matrix
metalloproteases,
that
cleave
Plasma
dilution
into
hyperplastic
led
tau
module
levels,
indicating
plasma
protease
activity
contributes
depletion
underlying
brain
pathology.
findings
highlight
impact
integrity
on
particularly
in
men
Americans,
underscore
need
for
diversity-informed
biomarker
strategies
improve
diagnostics
therapeutic
targeting
populations.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Март 24, 2025
ABSTRACT
Alzheimer’s
disease
(AD)
dementia
is
characterized
by
significant
molecular
and
phenotypic
heterogeneity,
which
confounds
its
mechanistic
understanding,
diagnosis,
effective
treatment.
In
this
study,
we
harness
the
most
comprehensive
dataset
of
paired
ante-mortem
blood
omics,
clinical,
psychological,
post-mortem
brain
multi-omics
data
neuroimaging
to
extensively
characterize
translate
taxonomy
AD
living
individuals.
First,
utilizing
a
integration
eight
complementary
layers
from
(N
=
1,189),
identified
three
distinct
subtypes
exhibiting
strong
associations
with
cognitive
decline,
sex,
psychological
traits,
morphology,
specific
cellular
drivers
involving
immune,
vascular,
oligodendrocyte
precursor
cells.
Next,
in
translational
effort,
developed
predictive
models
convert
these
advanced
brain-derived
profiles
(AD
pseudotimes
subtypes)
into
blood-,
MRI-
traits-based
markers.
The
translation
results
underscore
both
promise
opportunities
for
further
enhancement.
Our
findings
enhance
understanding
value
multi-scale
approaches
elucidating
causal
mechanisms,
lay
groundwork
development
novel
therapies
persons
that
target
multi-level
dementia.
Alzheimer s & Dementia,
Год журнала:
2025,
Номер
21(5)
Опубликована: Май 1, 2025
Abstract
INTRODUCTION
Sex
differences
exist
in
Alzheimer's
disease
(AD),
but
the
underlying
mechanisms
remain
unclear.
METHODS
We
examined
brain
proteomes
profiled
from
dorsolateral
prefrontal
cortex
of
770
donors
(66.2%
female).
RESULTS
Proteome‐wide
differential
expression
analysis
males
and
females
jointly
identified
many
significant
proteins
for
AD
dementia
(
n
=
1228),
amyloid
beta
1183),
tangles
1309),
global
cognitive
trajectory
2325)
at
a
false
discovery
rate
<0.05.
Sex‐stratified
analyses
also
associated
with
or
its
endophenotypes.
Finally,
we
found
10
sex‐by‐trait
interactions,
including
one
clinical
diagnosis
(MARCKS),
seven
trajectories
(TOGARAM1,
PLCD3,
SLC22A5,
MTFR1L,
DCUN1D5,
S100A12,
TRIM46),
two
cerebral
pathologies
(PANK4
SOS1).
DISCUSSION
The
sex
interaction
cover
range
functions
likely
relevant
pathogenesis,
estrogen
response,
inflammation,
mitochondrial
biology,
their
specific
roles
ought
to
be
studied.
Future
work
should
test
potential
as
sex‐specific
biomarkers.
Highlights
At
phenotypic
level,
baseline
performance,
trajectories,
hallmark
pathologies.
endophenotypes
either
alone
when
considered
together.
interactions
endophenotypes,
which
could
investigated
biomarkers
AD.
Neurobiology of Disease,
Год журнала:
2025,
Номер
unknown, С. 106974 - 106974
Опубликована: Май 1, 2025
This
primer
aims
to
expose
scientists
who
study
the
brain
field
of
copper
biology.
We
briefly
discuss
key
homeostasis
mechanisms
and
proteins
place
these
functions
in
context
neurodevelopment.
A
small
number
genes
are
explored
as
representative
examples
importance
this
metal
brain.
show
that
expressed
throughout
their
defects
linked
a
diverse
array
neurological
phenotypes,
which
we
further
several
neurodegenerative
diseases
associated
with
dysregulation
copper.
review
interested
fundamental
roles
for
brain,
primary
responsible
maintaining
classic
metal.
Alzheimer s Research & Therapy,
Год журнала:
2025,
Номер
17(1)
Опубликована: Май 27, 2025
The
rapidly
progressive
phenotype
of
Alzheimer's
disease
(rpAD)
remains
a
rare
and
less-studied
entity.
Therefore,
the
replication
key
results
from
rpAD
brain
cerebrospinal
fluid
(CSF)
is
lacking.
A
label-free
quantitative
LC-MS/MS
analysis
proteins
co-aggregating
with
core-amyloid
β
plaques
in
fresh
frozen
tissue
(FFT)
medial
temporal
regions
(
n=8
)
neuropathologically
characterized
at
National
Prion
Disease
Pathology
Surveillance
Center
(NPDPSC),
compared
microdissected
amyloid
formalin-fixed,
paraffin-embedded
(FFPE)
blocks
patients
n=22
previously
published
NPDPSC
cohort,
was
performed.
Matched
CSF
FFT
cases
were
to
proteomic
evaluation
AD
subtype
rapid
progression.
total
1841
study,
which
463
consistently
identified
every
patient
analyzed.
One
thousand
two
hundred
eighty-three
shared
between
prior
FFPE
study.
offered
more
comprehensive
profile
than
study
prominently
included
immune
system
pathways.
Thirty-five
tissue,
matched
same
subjects,
biological
processes
related
response
again
notable.
These
validated
against
data
faster
rate
progression
identify
top
5
potential
protein
biomarkers
CSF.
support
distinct
immune-related
both
that
can
be
explored
as
future
for
clinical
diagnosis
rpAD.