Molecular & Cellular Proteomics,
Год журнала:
2022,
Номер
21(10), С. 100277 - 100277
Опубликована: Авг. 3, 2022
The
recent
surge
of
coronavirus
disease
2019
(COVID-19)
hospitalizations
severely
challenges
healthcare
systems
around
the
globe
and
has
increased
demand
for
reliable
tests
predictive
severity
mortality.
Using
multiplexed
targeted
mass
spectrometry
assays
on
a
robust
triple
quadrupole
MS
setup
which
is
available
in
many
clinical
laboratories,
we
determined
precise
concentrations
hundreds
proteins
metabolites
plasma
from
hospitalized
COVID-19
patients.
We
observed
clear
distinction
between
patients
controls
and,
strikingly,
significant
difference
survivors
nonsurvivors.
With
increasing
length
hospitalization,
survivors'
samples
showed
trend
toward
normal
concentrations,
indicating
potential
sensitive
readout
treatment
success.
Building
machine
learning
multi-omic
model
that
considers
10
five
metabolites,
could
predict
patient
survival
with
92%
accuracy
(area
under
receiver
operating
characteristic
curve:
0.97)
day
hospitalization.
Hence,
our
standardized
represent
unique
opportunity
early
stratification
Nature Medicine,
Год журнала:
2021,
Номер
28(1), С. 201 - 211
Опубликована: Ноя. 15, 2021
Abstract
Although
critical
for
host
defense,
innate
immune
cells
are
also
pathologic
drivers
of
acute
respiratory
distress
syndrome
(ARDS).
Innate
dynamics
during
Coronavirus
Disease
2019
(COVID-19)
ARDS,
compared
to
ARDS
from
other
pathogens,
is
unclear.
Moreover,
mechanisms
underlying
the
beneficial
effects
dexamethasone
severe
COVID-19
remain
elusive.
Using
single-cell
RNA
sequencing
and
plasma
proteomics,
we
discovered
that,
bacterial
was
associated
with
expansion
distinct
neutrophil
states
characterized
by
interferon
(IFN)
prostaglandin
signaling.
Dexamethasone
affected
circulating
neutrophils,
altered
IFN
active
downregulated
interferon-stimulated
genes
activated
IL-1R2
+
neutrophils.
expanded
immunosuppressive
immature
neutrophils
remodeled
cellular
interactions
changing
information
receivers
into
providers.
Male
patients
had
higher
proportions
preferential
steroid-induced
expansion,
potentially
affecting
outcomes.
Our
atlas
(see
‘Data
availability’
section)
defines
COVID-19-enriched
molecular
action
develop
targeted
immunotherapies
COVID-19.
Cell,
Год журнала:
2021,
Номер
185(3), С. 493 - 512.e25
Опубликована: Дек. 28, 2021
Severe
COVID-19
is
linked
to
both
dysfunctional
immune
response
and
unrestrained
immunopathology,
it
remains
unclear
whether
T
cells
contribute
disease
pathology.
Here,
we
combined
single-cell
transcriptomics
proteomics
with
mechanistic
studies
assess
pathogenic
cell
functions
inducing
signals.
We
identified
highly
activated
CD16
Journal of Proteome Research,
Год журнала:
2021,
Номер
20(12), С. 5241 - 5263
Опубликована: Окт. 21, 2021
The
study
of
proteins
circulating
in
blood
offers
tremendous
opportunities
to
diagnose,
stratify,
or
possibly
prevent
diseases.
With
recent
technological
advances
and
the
urgent
need
understand
effects
COVID-19,
proteomic
analysis
blood-derived
serum
plasma
has
become
even
more
important
for
studying
human
biology
pathophysiology.
Here
we
provide
views
perspectives
about
developments
possible
clinical
applications
that
use
mass-spectrometry(MS)-
affinity-based
methods.
We
discuss
examples
where
proteomics
contributed
valuable
insights
into
SARS-CoV-2
infections,
aging,
hemostasis
offered
by
combining
with
genetic
data.
As
a
contribution
Human
Proteome
Organization
(HUPO)
Plasma
Project
(HPPP),
present
PeptideAtlas
build
2021-07
comprises
4395
canonical
1482
additional
nonredundant
detected
240
MS-based
experiments.
In
addition,
report
new
Extracellular
Vesicle
2021-06,
which
five
studies
2757
extracellular
vesicles
blood,
74%
(2047)
are
common
PeptideAtlas.
Our
overview
summarizes
advances,
impactful
applications,
ongoing
challenges
translating
utility
precision
medicine.
EMBO Molecular Medicine,
Год журнала:
2021,
Номер
13(8)
Опубликована: Июль 7, 2021
A
deeper
understanding
of
COVID-19
on
human
molecular
pathophysiology
is
urgently
needed
as
a
foundation
for
the
discovery
new
biomarkers
and
therapeutic
targets.
Here
we
applied
mass
spectrometry
(MS)-based
proteomics
to
measure
serum
proteomes
patients
symptomatic,
but
PCR-negative
controls,
in
time-resolved
manner.
In
262
controls
458
longitudinal
samples
31
patients,
hospitalized
COVID-19,
remarkable
26%
proteins
changed
significantly.
Bioinformatics
analyses
revealed
co-regulated
groups
shared
biological
functions.
Proteins
innate
immune
system
such
CRP,
SAA1,
CD14,
LBP,
LGALS3BP
decreased
early
time
course.
Regulators
coagulation
(APOH,
FN1,
HRG,
KNG1,
PLG)
lipid
homeostasis
(APOA1,
APOC1,
APOC2,
APOC3,
PON1)
increased
over
course
disease.
global
correlation
map
provides
system-wide
functional
association
between
proteins,
processes,
clinical
chemistry
parameters.
Importantly,
five
SARS-CoV-2
immunoassays
against
antibodies
excellent
correlations
with
an
extensive
range
immunoglobulin
regions,
which
were
quantified
by
MS-based
proteomics.
The
high-resolution
profile
all
regions
showed
individual-specific
differences
commonalities
potential
pathophysiological
relevance.
Frontiers in Psychiatry,
Год журнала:
2022,
Номер
12
Опубликована: Фев. 7, 2022
The
new
identified
virus
COVID-19
has
become
one
of
the
most
contagious
diseases
in
human
history.
ongoing
coronavirus
created
severe
threats
to
global
mental
health,
which
have
resulted
crisis
management
challenges
and
international
concerns
related
health
issues.
As
September
9,
2021,
there
were
over
223.4
million
patients
with
COVID-19,
including
4.6
deaths
200
recovered
reported
worldwide,
made
outbreak
deadliest
pandemics
aggressive
public
implementations
endorsed
various
precautionary
safety
preventive
strategies
suppress
minimize
disease
transmission.
second,
third,
fourth
waves
continue
pose
management,
as
its
evolution
implications
are
still
unfolding.
This
study
posits
that
examining
strategic
ripostes
pandemic
experiences
sheds
light
on
combatting
this
emergency.
recommends
two
model
help
reduce
adverse
effects
immune
systems
general
population.
present
paper
NPI
interventions
(non-pharmaceutical
intervention)
combine
measures,
such
suppression
strategy
(lockdown
restrictions)
mitigation
decrease
burden
systems.
current
influenced
all
vital
economic
sectors
developed
problems.
supply
vaccines
is
not
sufficient
manage
In
crisis,
NPIs
helpful
spillover
impacts
pandemic.
It
articulates
prominence
resilience
agility
resume
activities
resolve
healthcare
primarily
focuses
role
social
media
tackle
crises
posed
by
economies,
business
activities,
burdens,
government
support
for
societies
businesses,
provision
disruptions.
suggests
intervention
can
control
rapid
spread
hands-on
system
will
normal
conditions
quickly.
Global
economies
revitalize
scientific
contributions
collaborations,
science
industries,
through
support.
Protein
biomarkers
have
been
identified
across
many
age-related
morbidities.
However,
characterising
epigenetic
influences
could
further
inform
disease
predictions.
Here,
we
leverage
epigenome-wide
data
to
study
links
between
the
DNA
methylation
(DNAm)
signatures
of
circulating
proteome
and
incident
diseases.
Using
from
four
cohorts,
trained
tested
scores
(EpiScores)
for
953
plasma
proteins,
identifying
109
that
explained
1%
58%
variance
in
protein
levels
after
adjusting
known
quantitative
trait
loci
(pQTL)
genetic
effects.
By
projecting
these
EpiScores
into
an
independent
sample
(Generation
Scotland;
n
=
9537)
relating
them
morbidities
over
a
follow-up
14
years,
uncovered
137
EpiScore-disease
associations.
These
associations
were
largely
immune
cell
proportions,
common
lifestyle
health
factors,
biological
aging.
Notably,
found
our
diabetes-associated
highlighted
previous
top
biomarker
proteome-wide
assessments
diabetes.
can
therefore
be
valuable
resource
prediction
risk
stratification.
Abstract
There
are
multiple
reasons
why
the
next
generation
of
biological
and
medical
studies
require
increasing
numbers
samples.
Biological
systems
dynamic,
effect
a
perturbation
depends
on
genetic
background
environment.
As
consequence,
many
conditions
need
to
be
considered
reach
generalizable
conclusions.
Moreover,
human
population
clinical
only
sufficient
statistical
power
if
conducted
at
scale
with
precise
measurement
methods.
Finally,
proteins
remain
without
functional
annotations,
because
they
have
not
been
systematically
studied
under
broad
range
conditions.
In
this
review,
we
discuss
latest
technical
developments
in
mass
spectrometry
(MS)‐based
proteomics
that
facilitate
large‐scale
by
fast
efficient
chromatography,
scanning
spectrometers,
data‐independent
acquisition
(DIA),
new
software.
We
further
highlight
recent
which
demonstrate
how
high‐throughput
(HT)
can
applied
capture
diversity,
annotate
gene
functions
or
generate
predictive
prognostic
models
for
diseases.
Nature Communications,
Год журнала:
2021,
Номер
12(1)
Опубликована: Авг. 11, 2021
In
COVID-19,
immune
responses
are
key
in
determining
disease
severity.
However,
cellular
mechanisms
at
the
onset
of
inflammatory
lung
injury
SARS-CoV-2
infection,
particularly
involving
endothelial
cells,
remain
ill-defined.
Using
Syrian
hamsters
as
a
model
for
moderate
we
conduct
detailed
longitudinal
analysis
systemic
and
pulmonary
responses,
corroborate
it
with
datasets
from
COVID-19
patients.
Monocyte-derived
macrophages
lungs
exert
earliest
strongest
transcriptional
response
to
including
induction
pro-inflammatory
genes,
while
epithelial
cells
show
weak
alterations.
Without
evidence
productive
react,
depending
on
cell
subtypes,
by
strong
early
expression
anti-viral,
pro-inflammatory,
T
recruiting
genes.
Recruitment
cytotoxic
well
emergence
IgM
antibodies
precede
viral
clearance
day
5
post
infection.
Investigating
infected
thus
identifies
type-specific
effector
functions,
providing
insights
into
pathomechanisms
informing
therapeutic
strategies.