Biomolecules,
Год журнала:
2024,
Номер
15(1), С. 32 - 32
Опубликована: Дек. 30, 2024
Background:
In
this
study,
we
investigated
the
role
of
extracellular
vesicles
(EVs)
in
pathogenesis
Congenital
Zika
Syndrome
(CZS).
Previous
studies
have
highlighted
EVs
intercellular
communication
and
modulation
biological
processes
during
viral
infections,
motivating
our
in-depth
analysis.
Our
objective
was
to
identify
specific
molecular
signatures
patients
with
CZS,
focusing
on
their
potential
as
biomarkers
cellular
pathways
affected
by
infection.
Methods:
We
conducted
advanced
proteomic
metabolomic
analyses
using
mass
spectrometry
for
protein
metabolite
identification.
were
isolated
from
CZS
patient
samples
control
groups
Izon
qEV
size-exclusion
chromatography
columns.
Results:
The
analyzed
presented
distinct
profiles
CZS.
Proteomic
analysis
revealed
significant
alterations
proteins,
suggesting
involvement
PI3K-AKT-mTOR
pathway,
while
metabolomics
metabolites
related
critical
virus
pathogenesis.
These
findings
suggest
a
key
pathway
regulating
infection
indicate
communication.
Additionally,
results
identified
capable
aiding
early
diagnosis
assessing
disease
progression.
Conclusions:
This
study
demonstrates
that
play
crucial
identification
highlights
possible
therapeutic
target,
providing
new
opportunities
development
more
effective
treatment
strategies
significantly
advance
understanding
underscore
need
further
investigations
techniques
validate
explore
these
targets.
Journal of Proteome Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 31, 2024
Recent
improvements
in
proteomics
technologies
have
fundamentally
altered
our
capacities
to
characterize
human
biology.
There
is
an
ever-growing
interest
using
these
novel
methods
for
studying
the
circulating
proteome,
as
blood
offers
accessible
window
into
health.
However,
every
methodological
innovation
and
analytical
progress
calls
reassessing
existing
approaches
routines
ensure
that
new
data
will
add
value
greater
biomedical
research
community
avoid
previous
errors.
As
representatives
of
HUPO's
Human
Plasma
Proteome
Project
(HPPP),
we
present
2024
survey
current
community,
including
latest
build
PeptideAtlas
now
comprises
4608
proteins
detected
113
sets.
We
then
discuss
updates
established
methods,
emerging
technologies,
investigations
proteoforms,
protein
networks,
extracellualr
vesicles,
antibodies
microsamples.
Finally,
provide
a
prospective
view
tools
studies
proteins.
Journal of Extracellular Vesicles,
Год журнала:
2025,
Номер
14(1)
Опубликована: Янв. 1, 2025
ABSTRACT
Despite
immense
interest
in
biomarker
applications
of
extracellular
vesicles
(EVs)
from
blood,
our
understanding
circulating
EVs
under
physiological
conditions
healthy
humans
remains
limited.
Using
imaging
and
multiplex
bead‐based
flow
cytometry,
we
comprehensively
quantified
with
respect
to
their
cellular
origin
a
large
cohort
blood
donors.
We
assessed
coefficients
variations
characterize
biological
variation
explored
demographic,
clinical,
lifestyle
factors
contributing
observed
variation.
Cell‐specific
EV
subsets
show
wide
range
concentrations
that
do
not
correlate
cell‐of‐origin
suggesting
steady‐state
subset
are
regulated
by
complex
mechanisms,
which
differ
even
for
the
same
cell
type.
Interestingly,
tetraspanin+
largely
originate
platelets
lesser
extent
lymphocytes.
Principal
component
analysis
(PCA)
association
analyses
demonstrate
high
inter‐individual
across
humans,
only
partly
explained
influence
sex,
menopausal
status,
age
smoking
on
specific
and/or
subsets.
No
global
subject's
was
detected.
Our
findings
provide
first
comprehensive,
quantitative
data
towards
cell‐origin
atlas
plasma
EVs,
important
implications
clinical
use
as
biomarkers.
Current Issues in Molecular Biology,
Год журнала:
2024,
Номер
46(5), С. 4337 - 4357
Опубликована: Май 6, 2024
The
technical
difficulty
of
separating
extracellular
vesicles
(EVs)
from
plasma
proteins
in
human
blood
presents
a
significant
hurdle
EV
research,
particularly
during
nano
ultra-high-performance
liquid
chromatography-tandem
mass
spectrometric
(UHPLC-MS/MS)
analysis,
where
detecting
"vesicular"
among
abundant
is
challenging.
Standardisation
pressing
issue
prompting
collaborative
global
efforts
to
address
it.
While
the
MISEV
guidelines
offer
valuable
recommendations,
unanswered
questions
remain,
regarding
sample
storage.
We
compared
size
exclusion
chromatography
(SEC)
columns
with
pore
sizes
35
nm
and
70
identify
fractions
minimal
contaminating
highest
concentration
small
EVs
(sEVs).
Following
column
selection,
we
explored
potential
differences
quality
quantity
sEVs
isolated
platelet-free
(PFP)
after
long-term
storage
at
-80
°C
(>2.5
years)
freshly
drawn
blood.
Our
methodologically
rigorous
study
indicates
that
prolonged
storage,
under
correct
processing
conditions,
does
not
compromise
sEV
quality.
Both
effectively
vesicles,
exhibiting
higher
abundance
proteins.
propose
relatively
rapid
moderately
efficient
protocol
for
obtaining
comparatively
pure
fraction
plasma,
facilitating
clinical
trials.
Cell Reports Medicine,
Год журнала:
2025,
Номер
unknown, С. 101923 - 101923
Опубликована: Янв. 1, 2025
Non-tuberculous
mycobacterial
pulmonary
disease
(NTM-PD)
is
a
chronic
progressive
lung
that
increasing
in
incidence.
Host
genetic
factors
are
associated
with
NTM-PD
susceptibility.
However,
the
heritability
of
not
well
understood.
Here,
we
perform
two-stage
genome-wide
association
study
(GWAS)
and
discover
susceptibility
locus
at
16p21
NTM-PD,
especially
Mycobacterium
avium
complex
(MAC)
disease.
As
lead
variant,
rs194800
C
allele
augments
protein
kinase
beta
(PRKCB)
gene
expression
associates
severer
NTM-PD.
The
functional
studies
show
PRKCB
exacerbates
M.
infection
promotes
intracellular
survival
macrophages
by
inhibiting
phagosomal
acidification.
Mechanistically,
interacts
subunit
G
vacuolar-H+-ATPase
(V-ATPase)
vacuolar
sorting-associated
16
homolog
(VPS16),
blocking
fusion
between
lysosomes
phagosomes.
inhibitor
has
therapeutic
potential
against
infection.
These
findings
provide
insights
into
etiology
highlight
as
an
attractive
target
for
host-directed
therapy
MAC
Expert Review of Molecular Diagnostics,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 3, 2025
Extracellular
vesicles
are
membranous
particles
released
by
cells
in
physiological
and
pathological
conditions.
Their
cargo
is
heterogeneous
since
it
includes
different
biomolecules
such
as
nucleic
acids
proteins.
Oncogenic
alterations
affect
the
composition
of
extracellular
model
their
content
during
cancer
evolution.
This
review
provides
an
overview
studies
focused
on
source
biomarkers
hematological
malignancies.
A
special
insight
into
vesicles-derived
tools
for
evaluating
prognosis
malignancies
response
to
treatment
given.
a
valuable
However,
translation
from
bench
bedside
challenged
lack
standardization
preanalytical
variables
experimental
workflow.
The
release
standard
operating
procedures
validation
large
cohort
patients
will
help
exploiting
potential
clinical
setting.
Journal of Proteome Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 2, 2025
Size
exclusion
chromatography
(SEC)
is
a
well-established
method
for
the
isolation
of
extracellular
vesicles
(EVs),
but
large
elution
volumes
necessitate
concentration
step
prior
to
proteomics
analysis.
This
can
lead
significant
EV
loss.
Here
we
report
an
approach
that
enables
EVs
into
just
80
μL,
which
directly
compatible
with
analysis
without
need
concentration.
were
characterized
by
transmission
electron
microscopy,
Western
blot,
and
nanoparticle
tracking
analysis,
all
confirmed
presence
small
EVs.
Proteomics
was
performed
benchmarked
against
those
isolated
using
automated
UHPLC-SEC
platform.
The
novel
workflow
identified
more
proteins
markers,
including
96
100
top
exosomal
from
ExoCarta
database,
compared
91
samples
UHPLC-SEC.
When
applied
pancreatic
cancer
cell
lines,
demonstrated
higher
sensitivity
previously
reported
markers
cancer.
Cell Communication and Signaling,
Год журнала:
2025,
Номер
23(1)
Опубликована: Май 30, 2025
Extracellular
vesicles
(EVs)
are
critical
mediators
of
intercellular
communication
by
transferring
proteins,
lipid
and
nucleic
acids
between
cells.
EVs
in
biofluids,
particularly
blood,
have
gathered
significant
interest
as
potential
biomarkers
for
disease
diagnosis.
However,
isolating
from
blood
poses
a
challenge
due
to
the
high
concentration
plasma
which
obscure
detection
low
abundant
EV-associated
proteins.
Here,
we
optimized
simplified
efficient
method
plasma-derived
combining
size
exclusion
chromatography
(SEC)
with
flow-through
using
Capto
Core
700
beads.
A
brief
incubation
SEC-derived
EV
fractions
beads
(qEV
+
CC)
enabled
us
isolate
intact,
high-purity
reduced
soluble
protein
contamination.
As
comparison,
MagReSyn-based
was
not
compatible
elution
intact
after
purification
showed
contamination
Data-independent
acquisition-based
liquid
chromatography-mass
spectrometry
isolated
plasma-EVs
qEV
CC
approach
identified
over
1,000
including
an
increased
presence
brain
derived
proteins
markers
linked
neurodegenerative
diseases,
such
amyloid
precursor
apolipoprotein
E.
These
findings
were
further
validated
super-resolution
microscopy
at
single
resolution.
Bioinformatic
pathway
network
analyses
revealed
enrichment
pathways
involved
RNA
processing,
cell
adhesion
synaptic
function,
highlighting
molecules
broad
biomarker
discovery.
Our
present
EVs,
providing
valuable
tool
advancing
EV-based
development.
Abstract
Extracellular
vesicles
(EVs)
carry
diverse
biomolecules
derived
from
their
parental
cells,
making
components
excellent
biomarker
candidates.
However,
purifying
EVs
is
a
major
hurdle
in
discovery
since
current
methods
require
large
amounts
of
samples,
are
time‐consuming
and
typically
have
poor
reproducibility.
Here
we
describe
simple,
fast,
sensitive
EV
fractionation
method
using
size
exclusion
chromatography
(SEC)
on
fast
protein
liquid
(FPLC)
system.
Our
uses
Superose
6
Increase
5/150,
which
has
bed
volume
2.9
mL.
The
FPLC
system
small
column
enable
reproducible
separation
only
50
µL
human
plasma
15
min.
To
demonstrate
the
utility
our
method,
used
longitudinal
samples
group
individuals
who
underwent
intense
exercise.
A
total
838
proteins
were
identified,
which,
261
previously
characterized
as
proteins,
including
classical
markers,
such
cluster
differentiation
(CD)9
CD81.
Quantitative
analysis
showed
low
technical
variability
with
correlation
coefficients
greater
than
0.9
between
replicates.
captured
differences
relevant
involved
response
to
physical
activity.
enables
variability,
will
facilitate
studies
clinical
cohorts.
Background;
Cell-released
extracellular
vesicles
(EVs)
acting
as
'metabolically
and
proteolytically
active
machines,'
show
potential
in
metabolomic
proteomic
analysis
of
serum
EVs.
Despite
diverse
challenges,
post-isolation
omics
characterization
EVs
offers
crucial
insights
for
effective
analysis;
(2)
Methods:
The
research,
involved
children
with
Congenital
Zika
Syndrome,
utilizing
mass
spectrometry
proteomics
GC-MS
metabolite
identification.
Vesicles
were
isolated
using
Izon
qEV
columns,
quantified,
characterized
by
NTA
TEM.
Data
employed
Cytoescape/String
MetaboAnalyst,
revealing
variations
metabolic
profiles
among
groups
through
PCA
volcano
plots.
Proteins
Metabolite
set
enrichment
provided
biologically
meaningful
patterns
to
enriched
metabolites;
(3)
Results:
Using
molecular
exclusion
chromatography,
the
characterized,
size
variations.
Protein
identified
13
significantly
altered
proteins,
including
upregulated
(e.g.,
AOM8Q6
-
IGLC7)
downregulated
Q8TD86
CALML6)
ones.
indicated
involvement
PI3K-AKT-mTOR
pathway
suggested
a
role
Angiotensin
inhibition
CZS+.
Upstream
mTOR,
Akt
is
central
signaling
molecule
PI3K
plays
critical
roles
brain
development
well
synaptic
plasticity
important
Virus.
study
provides
into
mechanisms
associated
CZS;
(4)
Conclusions:
pinpointed
valuable
possible
biomarkers,
specifically
proteins
metabolites,
virus
(ZIKV)
infection.
It
stresses
necessity
broader
investigations
advanced
techniques
uncover
targets,
potentially
advancing
pharmacological
strategies.
Frontiers in Endocrinology,
Год журнала:
2024,
Номер
15
Опубликована: Окт. 21, 2024
Introduction
Double
C2-like
domain
beta
(DOC2B)
is
a
vesicle
priming
protein
critical
for
glucose-stimulated
insulin
secretion
in
β-cells.
Individuals
with
type
1
diabetes
(T1D)
have
lower
levels
of
DOC2B
their
residual
functional
β-cell
mass
and
platelets,
phenotype
also
observed
mouse
model
T1D.
Thus,
could
provide
important
information
on
dys(function).
Objective
Our
objective
was
to
evaluate
the
secretome
In
addition
soluble
extracellular
protein,
we
assessed
localized
within
membrane-delimited
nanoparticles
–
vesicles
(EVs).
Moreover,
rat
clonal
β-cells,
probed
domains
required
sorting
into
EVs.
Method
Using
Single
Extracellular
VEsicle
Nanoscopy,
quantified
EVs
derived
from
β-cells
(human
EndoC-βH1,
INS-1
832/13,
MIN6);
two
other
cell
types
known
regulate
glucose
homeostasis
functionally
utilize
(skeletal
muscle
myotube
L6-GLUT4myc
human
neuronal-like
SH-SY5Y
cells);
islets
sourced
individuals
no
(ND).
ND
plasma,
islets,
lines
were
isolated
either
size
exclusion
chromatography
or
differential
centrifugation.
Isolated
comprehensively
characterized
using
dotblots,
transmission
electron
microscopy,
nanoparticle
tracking
analysis,
immunoblotting.
Results
present
832/13
Compared
cells
myotubes,
(EndoC-βH1,
MIN6)
produced
significantly
more
(over
whole
lysates)
higher
compared
myotubes;
did
not
release
appreciable
DOC2B.
Mechanistically,
show
that
EV
lumen;
tandem
C2
sufficient
confer
Discussion
Clonal
produce
abundant
culture,
can
be
packaged
EVs,
small
fraction
excreted
as
protein.
While
DOC2B-laden
are
further
studies
will
necessary
determine
if
originating
contributes
plasma
secretome.