Clinical Chemistry and Laboratory Medicine (CCLM),
Journal Year:
2023,
Volume and Issue:
62(1), P. 157 - 167
Published: July 28, 2023
Small
extracellular
vesicles
(EVs)
contain
various
signaling
molecules,
thus
playing
a
crucial
role
in
cell-to-cell
communication
and
emerging
as
promising
source
of
biomarkers.
However,
the
lack
standardized
procedures
impedes
their
translation
to
clinical
practice.
Thus,
we
compared
different
approaches
for
high-throughput
analysis
small
EVs
transcriptome.
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(8), P. 3819 - 3819
Published: April 17, 2025
Clinical
differentiation
between
Parkinson’s
disease
(PD)
and
essential
tremor
(ET)
may
be
challenging,
highlighting
the
need
for
easily
assessable
diagnostic
biomarkers.
Neuronally
derived
extracellular
vesicles
(NDEVs)
have
been
proposed
as
a
peripheral
matrix
that
can
well
recapitulate
cellular
composition
of
neurons.
We
investigated
clinical
usefulness
NDEV
oligomeric
p129-α-synuclein
levels
in
discriminating
patients
with
PD
those
ET.
species
were
assessed
using
an
ELISA
43
PD,
21
ET,
45
healthy
controls
(HCs).
α-synuclein
significantly
higher
comparison
ET
HCs,
while
values
lower
HCs
compared
to
other
groups.
By
receiver
operator
characteristic
(ROC)
analysis,
oligomeric-α-synuclein
achieved
excellent
classification
performance
distinguishing
from
both
(AUC:
0.976
0.997,
respectively),
was
obtained
differentiating
0.85).
On
hand,
accurately
discriminated
0.997
0.952,
respectively)
but
had
very
low
0.47).
Our
study
suggests
is
accurate
blood-derived
biomarker
differentiate
useful
HCs.
Clinical Chemistry and Laboratory Medicine (CCLM),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 23, 2025
Abstract
The
negative
impact
of
preanalytical
errors
on
the
quality
laboratory
testing
is
now
universally
recognized.
Nonetheless,
recent
technological
advancements
and
organizational
transformations
in
healthcare
–
catalyzed
by
still
ongoing
coronavirus
disease
2019
(COVID-19
pandemic)
have
introduced
new
challenges
promising
opportunities
for
improvement.
integration
value-based
scoring
systems
clinical
laboratories
growing
evidence
linking
to
patient
outcomes
costs
underscore
critical
importance
this
phase.
Emerging
topics
phase
include
pursuit
a
“greener”
more
sustainable
environment,
innovations
self-sampling
automated
blood
collection,
strategies
minimize
loss.
Additionally,
efforts
reduce
enhance
sustainability
through
management
gained
momentum.
Digitalization
artificial
intelligence
(AI)
offer
transformative
potential,
with
applications
sample
labeling,
recording
collection
events,
monitoring
conditions
during
transportation.
AI-driven
tools
can
also
streamline
workflow
mitigate
errors.
Specific
managing
hemolysis
developing
its
impact,
addressing
issues
related
urine
designing
robust
protocols
stability
studies.
rise
decentralized
presents
unique
hurdles,
while
emerging
areas
such
as
liquid
biopsy
anti-doping
introduce
novel
complexities.
Altogether,
these
highlight
dynamic
evolution
need
continuous
innovation
standardization.
This
collective
opinion
paper,
which
summarizes
abstracts
lectures
delivered
at
two-day
European
Federation
Laboratory
Medicine
(EFLM)
Preanalytical
Conference
entitled
“New
Insight
Quality”
(Padova,
Italy;
December
12–13,
2025),
provides
comprehensive
overview
errors,
offers
some
important
insights
into
less
obvious
sources
vulnerability
proposes
efficient
Viruses,
Journal Year:
2025,
Volume and Issue:
17(5), P. 705 - 705
Published: May 14, 2025
Human
cytomegalovirus
(HCMV)
infection
during
pregnancy
is
a
leading
cause
of
congenital
infections
worldwide,
posing
significant
risks
to
fetal
health.
Despite
advances
in
prenatal
care,
managing
HCMV
remains
challenging.
Early
detection,
accurate
risk
assessment,
and
timely
intervention
are
critical
mitigating
the
adverse
outcomes
associated
with
(cHCMV),
such
as
neurodevelopmental
delays
hearing
loss.
However,
current
landscape
biomarkers
for
marked
by
several
unmet
needs.
These
gaps
biomarker
development
application
limit
our
ability
predict
transmission,
assess
damage,
prognosticate
long-term
outcomes.
Addressing
these
challenges
through
identification
validation
novel
could
revolutionize
management
pregnancy,
improved
both
mothers
their
children.
This
review
examines
needs
regarding
emphasizing
priority
areas
further
research
innovation.
Biomedicines,
Journal Year:
2023,
Volume and Issue:
11(9), P. 2534 - 2534
Published: Sept. 14, 2023
Human
tumors
are
increasingly
being
described
as
a
complex
“ecosystem”,
that
includes
many
different
cell
types,
secreted
growth
factors,
extracellular
matrix
(ECM)
components,
and
microvessels,
altogether
create
the
tumor
microenvironment
(TME).
Within
TME,
epithelial
cancer
cells
control
function
of
surrounding
stromal
non-cellular
ECM
components
in
an
intricate
orchestra
signaling
networks
specifically
designed
for
to
exploit
their
own
benefit.
Tumor-derived
vesicles
(EVs)
released
into
essential
mediators
reprogramming
cells,
which
include
cancer-associated
fibroblasts
(CAFs),
tumor-associated
macrophages
(TAMs),
tumor-infiltrating
lymphocytes
(TILs),
endothelial
(TECs),
responsible
promotion
neo-angiogenesis,
immune
evasion,
invasion
progression.
Perhaps
most
importantly,
tumor-derived
EVs
play
critical
roles
metastatic
dissemination
through
two-fold
role
initiating
establishment
pre-metastatic
niche,
both
vital
migration,
homing,
colonization
at
secondary
sites.
This
review
discusses
vesicle
trafficking
within
niche
formation,
focusing
on
orchestrating
cancer-to-stromal
communication
order
promote
cells.
Cell Communication and Signaling,
Journal Year:
2023,
Volume and Issue:
21(1)
Published: Oct. 6, 2023
Extracellular
vesicles
(EVs)
originating
from
the
central
nervous
system
(CNS)
can
enter
blood
stream
and
carry
molecules
characteristic
of
disease
states.
Therefore,
circulating
CNS-derived
EVs
have
potential
to
serve
as
liquid-biopsy
markers
for
early
diagnosis
follow-up
neurodegenerative
diseases
brain
tumors.
Monitoring
profiling
using
multiparametric
analysis
would
be
a
major
advance
biomarker
well
basic
research.
Here,
we
explored
performance
multiplex
bead-based
flow-cytometry
assay
(EV
Neuro)
semi-quantitative
detection
in
body
fluids.EVs
were
separated
culture
glioblastoma
cell
lines
(LN18,
LN229,
NCH82)
primary
human
astrocytes
measured
at
different
input
amounts
MACSPlex
EV
Kit
Neuro,
human.
In
addition,
samples
small
cohorts
(GB),
multiple
sclerosis
(MS)
Alzheimer's
patients
healthy
controls
(HC)
subjected
Neuro
assay.
To
determine
statistically
significant
differences
between
relative
marker
signal
intensities,
an
unpaired
t-test
or
Wilcoxon
rank
sum
test
computed.
Data
tSNE,
heatmap
clustering,
correlation
further
explore
relationships
state
data.Glioblastoma
showed
distinct
profiles.
Signal
intensities
increasing
with
higher
input.
normalization
improved
identification
that
deviate
common
profile.
Overall,
patient
blood-derived
profiles
constant,
but
individual
populations
significantly
increased
compared
controls,
e.g.
CD36+EVs
GALC+EVs
sclerosis.
tSNE
clustering
GB
HC,
not
MS
HC.
Correlation
revealed
association
CD107a+EVs
neurofilament
levels
HC.The
demonstrated
its
utility
complex
samples.
However,
reliable
statistical
results
studies
require
large
sample
high
effect
sizes.
Nonetheless,
this
exploratory
trial
confirmed
feasibility
discovering
EV-associated
biomarkers
monitoring
CNS
Video
Abstract.Extracellular
are
tiny
particles
released
by
cells,
carrying
unique
biomolecules
specific
their
origin.
reach
blood,
where
they
could
diagnosing
like
disorders
This
study
evaluated
flow
cytometry
platform
(here
termed
assay),
which
detect
simultaneously,
assess
identifying
disease-specific
including
blood.
The
materials
methods
isolating
EVs.
We
found
derived
astrocytes,
more
present.
Analyzing
serum
plasma
individuals,
observed
varying
individuals.
Importantly,
data
markers,
such
sclerosis,
controls.
Advanced
techniques
effectively
distinguished
Furthermore,
was
discovered.
proved
useful
studies,
larger
sizes
necessary.
initial
disease-associated
diseases.
MedComm,
Journal Year:
2024,
Volume and Issue:
5(8)
Published: July 15, 2024
Exosomes
are
nanoscale
vesicles
of
cellular
origin.
One
the
main
characteristics
exosomes
is
their
ability
to
carry
a
wide
range
biomolecules
from
parental
cells,
which
important
mediators
intercellular
communication
and
play
an
role
in
physiological
pathological
processes.
have
advantages
biocompatibility,
low
immunogenicity,
biodistribution.
As
researchers'
understanding
has
increased,
various
strategies
been
proposed
for
use
diagnosing
treating
diseases.
Here,
we
provide
overview
biogenesis
composition
exosomes,
describe
relationship
between
disease
progression,
focus
on
as
biomarkers
early
screening,
monitoring,
guiding
therapy
refractory
diseases
such
tumors
neurodegenerative
We
also
summarize
current
applications
especially
engineered
efficient
drug
delivery,
targeted
therapies,
gene
immune
vaccines.
Finally,
challenges
potential
research
directions
clinical
application
discussed.
In
conclusion,
emerging
molecule
that
can
be
used
diagnosis
treatment
diseases,
combined
with
multidisciplinary
innovative
solutions,
will
applications.
Cancers,
Journal Year:
2023,
Volume and Issue:
15(13), P. 3446 - 3446
Published: June 30, 2023
Extracellular
vesicles
(EVs)
are
produced
and
released
by
most
cells
now
recognized
to
play
a
role
in
intercellular
communication
through
the
delivery
of
molecular
cargo,
including
proteins,
lipids,
RNA.
Small
RNA
sequencing
(small
RNA-seq)
has
been
widely
used
characterize
small
content
EVs.
However,
there
is
lack
systematic
assessment
quality,
technical
biases,
composition,
biotypes
enrichment
for
profiling
EVs
across
cell
types,
biofluids,
conditions.We
collected
reanalyzed
RNA-seq
datasets
2756
samples
from
83
studies
involving
55
with
only
28
both
matched
donor
cells.
We
assessed
their
quality
total
number
reads
after
adapter
trimming,
overall
alignment
rate
host
non-host
genomes,
proportional
abundance
specific
biotypes,
such
as
miRNA,
tRNA,
rRNA,
Y
RNA.We
found
that
EV
extraction
methods
varied
reproducibility
isolating
RNAs,
effects
on
composition.
Comparing
abundances
between
cells,
we
discovered
rRNA
tRNA
fragments
were
relatively
enriched,
but
miRNAs
snoRNA
depleted
Except
export
eight
being
context-independent,
selective
release
into
was
study-specific.This
work
guides
control
selection
isolation
enhances
interpretation
contents
preferential
loading
Frontiers in Public Health,
Journal Year:
2024,
Volume and Issue:
11
Published: Jan. 8, 2024
Objectives
The
aim
of
this
work
was
to
study
characteristics,
outcomes
and
predictors
all-cause
death
in
inpatients
with
SARS-CoV-2
infection
across
the
pandemic
waves
one
large
teaching
hospital
Italy
optimize
disease
management.
Methods
All
patients
admitted
our
center
from
March
2020
June
2022
were
included
retrospective
observational
cohort
study.
Both
descriptive
regression
tree
analyses
applied
identify
factors
influencing
mortality.
Results
527
(65.3%
moderate
34.7%
severe
COVID-19).
Significant
evolutions
patient
characteristics
found,
mortality
increased
last
wave
respect
third
notwithstanding
vaccination.
Regression
analysis
showed
that
in-patients
COVID-19
had
greatest
all
waves,
especially
older
adults,
while
prognosis
depended
on
COVID-19:
during
first
wave,
dyspnea
main
predictor,
chronic
kidney
emerged
as
determinant
factor
afterwards.
Conclusion
Patients
COVID-19,
adults
well
those
concomitant
most
recent
require
more
attention
for
monitoring
care.
Therefore,
drives
towards
importance
co-morbidities
their
clinical
impact
hospital,
indicating
healthcare
system
should
adapt
evolving
features
epidemic.