Periodontitis,
characterized
by
inflammatory
loss
of
tooth-supporting
tissues
associated
with
biofilm,
is
among
the
most
prevalent
chronic
diseases
globally,
affecting
approximately
50%
adult
population
to
a
moderate
extent
and
cases
severe
periodontitis
surpassing
one
billion
mark.
Proteomics
analyses
blood,
serum,
oral
fluids
have
provided
valuable
insights
into
complex
processes
occurring
in
inflamed
periodontium.
However,
until
now,
proteome
been
primarily
limited
small
groups
diseased
versus
healthy
individuals.
The
emergence
population-scale
analysis
proteomic
data
offers
opportunities
uncover
disease-associated
pathways,
identify
potential
drug
targets,
discover
biomarkers.
In
this
review,
we
will
explore
applications
proteomics
population-based
studies
discuss
advancements
it
brings
our
understanding
periodontal
inflammation.
Additionally,
highlight
challenges
posed
currently
available
offer
perspectives
for
future
research.
This
review
aims
explain
ongoing
efforts
leveraging
elucidating
complexities
paving
way
clinical
strategies.
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 4, 2024
Population-based
proteomics
offer
a
groundbreaking
avenue
to
predict
dementia
onset.
This
study
employed
proteome-wide,
data-driven
approach
investigate
protein-dementia
associations
in
229
incident
all-cause
(ACD)
among
3,249
participants
from
the
English
Longitudinal
Study
of
Ageing
(ELSA)
over
median
9.8-year
follow-up,
then
validated
1,506
ACD
52,745
individuals
UK
Biobank
(UKB)
13.7
years.
NEFL
and
RPS6KB1
were
robustly
associated
with
ACD;
MMP12
was
vascular
ELSA.
Additional
markers
EDA2R
KIM1
(HAVCR1)
identified
sensitivity
analyses.
Combining
other
factors
yielded
high
predictive
accuracy
(area
under
curve
(AUC)=0.871)
for
ACD.
Replication
UKB
confirmed
between
proteins
various
subtypes.
Results
reverse
Mendelian
Randomization
also
supported
role
several
as
early
biomarkers.
These
findings
underscore
proteomics'
potential
identifying
novel
risk
screening
targets
dementia.
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 15, 2025
Abstract
The
recent
COVID-19
pandemic
has
posed
major
health
challenges.
To
expand
our
molecular
understanding
beyond
those
seeking
medical
care,
we
conducted
a
cross-sectional
survey
targeting
random
residents
from
Sweden’s
two
largest
cities.
Two
thousand
participants
were
invited
during
2021
to
self-sample
dried
blood
spots
(DBS)
and
provide
information.
DBS
samples
analysed
for
multiple
anti-SARS-CoV-2
antibodies
(Abs),
auto-reactive
(AAbs)
against
23
interferons
(IFNs),
502
circulating
immune-related
proteins.
Data-driven
methodologies
characterised
the
phenotypes
in
response
infections
vaccination.
We
received
437
(22%)
volunteers
aged
18-69,
60%
females,
50%
per
city.
Multi-analyte
serology
distinguished
self-reported
(26%)
vaccination
(40%),
revealing
time-dependent
discrepancy
between
reported
measured
immunity.
Anti-IFN
Abs
detected
21%
of
donors
more
frequent
type
1
IFNs
alongside
natural
infection.
Integrating
proteomics
with
antibody
data
provided
additional
insights
into
processes
cell-mediated
Proteomics-centric
analysis
identified
24%
deviate
their
due
infection,
immunity,
respiratory
distress,
age-related
traits.
Multi-molecular
layperson
uncovered
heterogeneity
diversity
immunity
phenotypes,
complementing
clinical
investigations.
Brain Communications,
Год журнала:
2025,
Номер
7(2)
Опубликована: Янв. 1, 2025
Abstract
Population-based
proteomics
offers
a
groundbreaking
avenue
to
predict
future
disease
risks,
enhance
our
understanding
of
mechanisms,
and
discover
novel
therapeutic
targets
biomarkers.
The
role
plasma
proteins
in
dementia,
however,
requires
further
exploration.
This
study
investigated
276
protein-dementia
associations
229
incident
all-cause
89
Alzheimer’s
disease,
41
vascular
dementia
among
3249
participants
(55%
women,
97.2%
white
ethnicity)
from
the
English
Longitudinal
Study
Ageing
(ELSA)
over
median
9.8-year
follow-up.
We
used
Cox
proportional
hazard
regression
for
analysis.
Receiver
operating
characteristic
analyses
were
conducted
assess
precision
identified
fully
adjusted
models
predicting
both
individually
combination
with
demographic
predictors,
APOE
genotype,
memory
score,
estimate
area
under
curve.
Additionally,
eXtreme
Gradient
Boosting
machine
learning
algorithm
was
identify
most
important
features
predictive
onset.
These
then
validated
1506
732
281
111
frontotemporal
cases
52
745
individuals
(53.9%
93.3%
White
UK
Biobank
13.7-year
Two-sample
bi-directional
Mendelian
randomization
drug
target
employed
determine
causal
direction
between
protein
concentration
dementia.
NEFL
(hazard
ratio
[HR]
[95%
confidence
intervals
(CIs)]:
1.54
[1.29,
1.84])
RPS6KB1
(HR
CI]:
1.33
[1.16,
1.52])
robustly
associated
dementia;
MMP12
2.06
[1.41,
2.99])
ELSA,
after
correcting
multiple
testing.
Additional
markers
EDA2R
KIM1
subgroup
sensitivity
analyses.
Combining
other
predictors
yielded
high
accuracy
(area
curve
=
0.871)
also
RPS6KB1,
NEFL,
as
Sex
difference
evident
association
stronger
men
(P
interaction
0.037).
Replication
confirmed
various
subtypes.
results
reverse
indicated
that
several
serve
early
rather
than
being
direct
causes
disease.
findings
provide
insights
into
putative
mechanisms
Future
studies
are
needed
validate
on
relation
risk.
Molecular Oncology,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 25, 2025
B-cell
chronic
lymphocytic
leukemia
(B-CLL)
is
characterized
by
highly
heterogeneous
genomic
alterations
and
altered
signaling
pathways,
with
limited
studies
on
its
proteome.
Our
study
presents
a
comprehensive
analysis
of
the
proteome
phosphoproteome
in
B-CLL
CLL-like
monoclonal
lymphocytosis
(MBL)
primary
cells.
Using
high-resolution
mass
spectrometry,
we
identified
2970
proteins
316
phosphoproteins
across
five
tumor
samples,
including
55
newly
phosphopeptides
(ProteomeXchange-PXD005997).
multifaceted
approach
also
integrated
protein
microarrays
western
blotting
for
further
data
validation
new
patient
cohort
14
patients.
Despite
sharing
73%
their
proteomes,
phosphoproteomes
varied
significantly
among
independent
cytogenetic
immunoglobulin
heavy
variable
cluster
(IGHV)
mutational
status.
We
common
functional
hallmarks
MBL
phosphoproteomes,
notably
tonic
(low-level,
constitutive
signaling)
antigen-specific
receptor
(BCR)
nuclear
factor
NF-kappa-B
(NF-kβ)/signal
transducer
activator
transcription
3
(STAT3)
pathways.
Nine
involved
BCR
were
validated,
showing
high
correlation
early
disease
stages.
advances
field
providing
detailed
perspective
cells,
revealing
pathways
crucial
development
progression.
Integrating
diverse
proteomics
techniques
identifying
novel
offers
insights
into
CLL
biology,
potentially
informing
future
therapeutic
strategies
biomarker
diagnosis
personalized
treatment.
Frontiers in Pharmacology,
Год журнала:
2024,
Номер
15
Опубликована: Сен. 2, 2024
Recent
advancements
in
proteomics
have
shown
promise
identifying
biomarkers
for
various
cancers.
Our
study
is
the
first
to
compare
serum
proteomes
of
intrahepatic
cholangiocarcinoma
(iCCA)
with
cirrhosis
(CIR),
primary
sclerosing
cholangitis
(PSC),
and
hepatocellular
carcinoma
(HCC),
aiming
identify
a
proteomic
signature
that
can
effectively
distinguish
among
these
conditions.
Utilizing
high-throughput
mass
spectrometry
on
samples,
we
identified
845
proteins,
which
646
were
suitable
further
analysis.
Unique
clustering
patterns
observed
five
groups,
significant
differences.
key
findings
include:
S100
calcium-binding
protein
A9
(S100A9)
haptoglobin
(HP)
more
abundant
iCCA,
while
intercellular
adhesion
molecule
2
(ICAM2)
was
higher
HCC.
Serum
amyloid
A1
(SAA1)
A4
(SAA4)
emerged
as
potential
biomarkers,
SAA1
significantly
different
iCCA
vs
healthy
controls
(HC)
comparison,
SAA4
HCC
HC
comparison.
Elevated
levels
vascular
cell
1
(VCAM-1)
suggested
its
differentiation
diagnostic
marker.
Angiopoietin-1
receptor
(TEK)
also
showed
discriminatory
ELISA
validation
corroborated
findings.
underscores
profiling
distinguishing
from
other
liver
conditions
highlights
need
establish
robust
biomarkers.
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 24, 2024
Abstract
Background
Proteomics
offer
new
insights
into
human
biology
and
disease
aetiology.
Previous
studies
have
explored
the
associations
of
SomaScan
proteins
with
multiple
non-genetic
factors,
but
they
typically
involved
Europeans
a
limited
range
no
evidence
from
East
Asia
populations.
Methods
We
measured
plasma
levels
6,597
unique
using
platform
in
∼2,000
participants
China
Kadoorie
Biobank.
Linear
regression
was
used
to
examine
cross-sectional
37
exposures
across
several
different
domains
(e.g.,
socio-demographic,
lifestyle,
environmental,
sample
processing,
reproductive
clinical
measurements
frailty
indices)
concentrations
specific
proteins,
adjusting
for
potential
confounders
testing.
Findings
Overall
12
were
significantly
associated
>50
sex
(n=996),
age
(n=982),
ambient
temperature
(n=802)
BMI
(n=1035)
showing
largest
number
associations,
followed
by
indices
(n=465)
RPG,
SBP),
not
diet
physical
activity
which
showed
little
associations.
Many
these
varied
sex,
large
age-related
females
also
menopausal
status.
Of
examined,
43%
at
least
one
exposure,
proportion
higher
high-abundance
certain
biologically-important
low-abundance
PSA,
HBD-4)
exposures.
The
patterns
appeared
generally
similar
those
Olink
proteins.
Interpretation
In
Chinese
adults
an
exposome-wide
assessment
identified
health-related
informing
future
research
analytic
strategies.
