Cancers,
Journal Year:
2023,
Volume and Issue:
15(10), P. 2672 - 2672
Published: May 9, 2023
Glioblastomas
(GBM)
are
rapidly
growing,
aggressive,
nearly
uniformly
fatal,
and
the
most
common
primary
type
of
brain
cancer.
They
exhibit
significant
heterogeneity
resistance
to
treatment,
limiting
ability
analyze
dynamic
biological
behavior
that
drives
response
resistance,
which
central
advancing
outcomes
in
glioblastoma.
Analysis
proteome
aimed
at
signal
change
over
time
provides
a
potential
opportunity
for
non-invasive
classification
examination
treatment
by
identifying
protein
biomarkers
associated
with
interventions.
However,
data
acquired
using
large
proteomic
panels
must
be
more
intuitively
interpretable,
requiring
computational
analysis
identify
trends.
Machine
learning
is
increasingly
employed,
however,
it
requires
feature
selection
has
critical
considerable
effect
on
machine
problems
when
applied
large-scale
reduce
number
parameters,
improve
generalization,
find
essential
predictors.
In
this
study,
7k
generated
from
serum
obtained
82
patients
GBM
pre-
post-completion
concurrent
chemoirradiation
(CRT),
we
select
discriminative
features
define
alteration
result
administering
CRT.
Thus,
present
novel
rank-based
weighting
method
(RadWise)
relevant
parameters
two
popular
methods,
least
absolute
shrinkage
operator
(LASSO)
minimum
redundancy
maximum
relevance
(mRMR).
The
results
show
proposed
yields
outstanding
very
few
selected
features,
higher
accuracy
rate
performance
than
methods
do
not
employ
process.
While
identified
several
signals
identical
clinical
intuitive
(heuristic
approach),
heuristically
were
while
other
heuristic
approach
carry
prognostic
only
emerged
method.
promising
results,
reducing
7
value
93.921%,
comparing
favorably
techniques
selection.
Nature,
Journal Year:
2023,
Volume and Issue:
624(7990), P. 164 - 172
Published: Dec. 6, 2023
Abstract
Animal
studies
show
aging
varies
between
individuals
as
well
organs
within
an
individual
1–4
,
but
whether
this
is
true
in
humans
and
its
effect
on
age-related
diseases
unknown.
We
utilized
levels
of
human
blood
plasma
proteins
originating
from
specific
to
measure
organ-specific
differences
living
individuals.
Using
machine
learning
models,
we
analysed
11
major
estimated
organ
age
reproducibly
five
independent
cohorts
encompassing
5,676
adults
across
the
lifespan.
discovered
nearly
20%
population
strongly
accelerated
one
1.7%
are
multi-organ
agers.
Accelerated
confers
20–50%
higher
mortality
risk,
relate
faster
those
organs.
find
with
heart
have
a
250%
increased
failure
risk
brain
vascular
predict
Alzheimer’s
disease
(AD)
progression
independently
pTau-181
(ref.
5
),
current
best
blood-based
biomarker
for
AD.
Our
models
link
calcification,
extracellular
matrix
alterations
synaptic
protein
shedding
early
cognitive
decline.
introduce
simple
interpretable
method
study
using
proteomics
data,
predicting
effects.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Nov. 9, 2023
The
blood
proteome
holds
great
promise
for
precision
medicine
but
poses
substantial
challenges
due
to
the
low
abundance
of
most
plasma
proteins
and
vast
dynamic
range
proteome.
Here
we
address
these
with
NUcleic
acid
Linked
Immuno-Sandwich
Assay
(NULISA™),
which
improves
sensitivity
traditional
proximity
ligation
assays
by
~10,000-fold
attomolar
level,
suppressing
assay
background
via
a
dual
capture
release
mechanism
built
into
oligonucleotide-conjugated
antibodies.
Highly
multiplexed
quantification
both
low-
high-abundance
spanning
wide
is
achieved
attenuating
signals
from
abundant
targets
unconjugated
antibodies
next-generation
sequencing
barcoded
reporter
DNA.
A
200-plex
NULISA
containing
124
cytokines
chemokines
other
demonstrates
superior
extension
in
detecting
biologically
important
low-abundance
biomarkers
patients
autoimmune
diseases
COVID-19.
Fully
automated
makes
broad
in-depth
proteomic
analysis
easily
accessible
research
diagnostic
applications.
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.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Feb. 21, 2025
Abstract
Proteomics
offers
unique
insights
into
human
biology
and
drug
development,
but
few
studies
have
directly
compared
the
utility
of
different
proteomics
platforms.
We
measured
plasma
levels
2168
proteins
in
3976
Chinese
adults
using
both
Olink
Explore
SomaScan
The
correlation
protein
between
platforms
was
modest
(median
rho
=
0.29),
with
abundance
data
quality
parameters
being
key
factors
influencing
correlation.
For
1694
one-to-one
matched
reagents,
765
513
had
cis
-pQTLs,
including
400
colocalising
-pQTLs.
Moreover,
1096
1429
were
associated
BMI,
while
279
154
risk
ischaemic
heart
disease,
respectively.
Addition
to
conventional
for
disease
improved
C-statistics
from
0.845
0.862
(NRI:
12.2%)
0.863
16.4%),
These
results
demonstrate
these
could
inform
design
interpretation
future
studies.
Biomarker Research,
Journal Year:
2023,
Volume and Issue:
11(1)
Published: July 19, 2023
Abstract
Biomarkers
are
detectable
molecules
that
can
reflect
specific
physiological
states
of
cells,
organs,
and
organisms
therefore
be
regarded
as
indicators
for
diseases.
And
the
discovery
biomarkers
plays
an
essential
role
in
cancer
management
from
initial
diagnosis
to
final
treatment
regime.
Practically,
reliable
clinical
still
limited,
restricted
by
suboptimal
methods
biomarker
discovery.
Nucleic
acid
aptamers
nowadays
could
used
a
powerful
tool
protein
biomarkers.
single-strand
oligonucleotides
specifically
bind
various
targets
with
high
affinity.
As
artificial
ssDNA
or
RNA,
possess
unique
advantages
compared
conventional
antibodies.
They
flexible
design,
low
immunogenicity,
relative
chemical/thermos
stability,
well
modifying
convenience.
Several
SELEX
(Systematic
Evolution
Ligands
Exponential
Enrichment)
based
have
been
generated
recently
construct
discovering
new
different
cell
locations.
Secretome
SELEX-based
selection
facilitate
identification
secreted
The
developed
cell-SELEX
unveil
those
presented
on
surface.
tissue-SELEX
target
intracellular
multiplexed
detection
technology,
aptamer-based
SOMAScan
analyze
thousands
proteins
single
run.
In
this
review,
we
will
introduce
principle
workflow
variations
methods,
including
secretome
SELEX,
ADAPT,
Cell-SELEX
tissue
SELEX.
Another
proteome
analyzing
tool,
SOMAScan,
also
covered.
second
half
how
these
accelerate
diseases,
cardiovascular
neurodegenerative
discussed.
Advances in Nutrition,
Journal Year:
2023,
Volume and Issue:
14(6), P. 1538 - 1578
Published: Sept. 9, 2023
Carotenoids
have
been
associated
with
risk
reduction
for
several
chronic
diseases,
including
the
association
of
their
dietary
intake/circulating
levels
reduced
incidence
obesity,
type
2
diabetes,
certain
types
cancer,
and
even
lower
total
mortality.
In
addition
to
some
carotenoids
constituting
vitamin
A
precursors,
they
are
implicated
in
potential
antioxidant
effects
pathways
related
inflammation
oxidative
stress,
transcription
factors
such
as
nuclear
factor
κB
erythroid
2-related
2.
metabolites
may
also
interact
receptors,
mainly
retinoic
acid
receptor/retinoid
X
receptor
peroxisome
proliferator-activated
which
play
a
role
immune
system
cellular
differentiation.
Therefore,
large
number
downstream
targets
likely
influenced
by
carotenoids,
but
not
limited
genes
proteins
stress
inflammation,
antioxidation,
differentiation
processes.
Furthermore,
recent
studies
propose
an
between
carotenoid
intake
gut
microbiota.
While
all
these
endpoints
could
be
individually
assessed,
more
complete/integrative
way
determine
multitude
health-related
aspects
includes
(multi)omics-related
techniques,
especially
transcriptomics,
proteomics,
lipidomics,
metabolomics,
well
metagenomics,
measured
variety
biospecimens
plasma,
urine,
stool,
white
blood
cells,
or
other
tissue
extracts.
this
review,
we
highlight
use
omics
technologies
assess
mammalian
organisms
models.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(6), P. 3319 - 3319
Published: March 14, 2024
The
population
of
cancer
survivors
has
markedly
increased
due
to
the
rapid
improvements
in
treatment.
However,
experience
accelerated
aging,
which
leads
chronic
diseases
and
other
age-related
conditions,
such
as
frailty.
Those
conditions
may
persist
years
after
diagnosis
Cellular
senescence,
a
hallmark
is
one
mechanisms
that
contribute
aging
survivors.
Several
measures,
including
measures
based
on
clinical
markers
biomarkers,
have
been
proposed
estimate
process,
some
them
shown
associations
with
mortality
frailty
anti-aging
interventions,
lifestyle
changes
drugs,
proposed.
Future
research,
particularly
large-scale
studies,
needed
determine
efficiency
these
interventions
before
considering
their
application
clinics.
This
review
focuses
cellular
senescence
survivors,
assessment
process
using
high
prevalence
population,
well
possible
opportunities
for
interventions.
A
deeper
understanding
will
development
effective
strategies
mitigate
improve
quality
life.
Nature Aging,
Journal Year:
2024,
Volume and Issue:
4(10), P. 1446 - 1464
Published: Aug. 21, 2024
A
deeper
understanding
of
the
molecular
processes
underlying
late-onset
Alzheimer's
disease
(LOAD)
could
aid
in
biomarker
and
drug
target
discovery.
Using
high-throughput
serum
proteomics
prospective
population-based
Age,
Gene/Environment
Susceptibility-Reykjavik
Study
(AGES)
cohort
5,127
older
Icelandic
adults
(mean
age,
76.6
±
5.6
years),
we
identified
303
proteins
associated
with
incident
LOAD
over
a
median
follow-up
12.8
years.
Over
40%
these
were
independently
APOE-ε4
carrier
status,
implicated
neuronal
overlapped
protein
signatures
brain
cerebrospinal
fluid.
We
17
whose
associations
strongly
dependent
on
mostly
consistent
Remarkably,
four
(TBCA,
ARL2,
S100A13
IRF6)
downregulated
by
yet
upregulated
due
to
LOAD,
finding
replicated
external
cohorts
possibly
reflecting
response
onset.
These
findings
highlight
dysregulated
pathways
at
preclinical
stages
including
those
both
independent
status.
Alzheimer s & Dementia,
Journal Year:
2024,
Volume and Issue:
20(3), P. 2000 - 2015
Published: Jan. 6, 2024
Abstract
INTRODUCTION
Existing
blood‐based
biomarkers
for
Alzheimer's
disease
(AD)
mainly
focus
on
its
pathological
features.
However,
studies
associated
with
other
biological
processes
a
comprehensive
evaluation
of
AD
status
are
limited.
METHODS
We
developed
blood‐based,
multiplex
biomarker
assay
that
measures
the
levels
21
proteins
involved
in
multiple
pathways.
evaluated
assay's
performance
classifying
and
indicating
AD‐related
endophenotypes
three
independent
cohorts
from
Chinese
or
European‐descent
populations.
RESULTS
The
21‐protein
accurately
classified
(area
under
receiver
operating
characteristic
curve
[AUC]
=
0.9407
to
0.9867)
mild
cognitive
impairment
(MCI;
AUC
0.8434
0.8945)
while
also
brain
amyloid
pathology.
Moreover,
simultaneously
changes
five
individuals
revealed
ethnic‐specific
dysregulations
upon
progression.
DISCUSSION
This
study
demonstrated
utility
multi‐pathway
early
screening
staging
AD,
providing
insights
patient
stratification
precision
medicine.
Highlights
authors
disease.
classifies
AD/MCI
indicates
can
assess
activities
processes.
Ethnic‐specific
were
revealed.
Phenomics,
Journal Year:
2024,
Volume and Issue:
4(5), P. 487 - 521
Published: March 6, 2024
Abstract
High-throughput
technologies
for
multiomics
or
molecular
phenomics
profiling
have
been
extensively
adopted
in
biomedical
research
and
clinical
applications,
offering
a
more
comprehensive
understanding
of
biological
processes
diseases.
Omics
reference
materials
play
pivotal
role
ensuring
the
accuracy,
reliability,
comparability
laboratory
measurements
analyses.
However,
current
application
omics
has
revealed
several
issues,
including
inappropriate
selection
underutilization,
leading
to
inconsistencies
across
laboratories.
This
review
aims
address
these
concerns
by
emphasizing
importance
well-characterized
at
each
level
omics,
encompassing
(epi-)genomics,
transcriptomics,
proteomics,
metabolomics.
By
summarizing
their
characteristics,
advantages,
limitations
along
with
appropriate
performance
metrics
pertinent
study
purposes,
we
provide
an
overview
how
can
enhance
data
quality
integration,
thus
fostering
robust
scientific
investigations
technologies.