Frontiers in Microbiology,
Journal Year:
2024,
Volume and Issue:
15
Published: April 2, 2024
Background
Androgenetic
alopecia
(AGA)
is
the
most
common
type
of
androgen-associated
hair
loss.
Previous
studies
have
indicated
an
association
between
gut
microbiota
and
AGA.
To
delve
deeper,
we
executed
a
two-sample
Mendelian
randomization
(MR)
analysis
to
investigate
potential
causal
relationship
Methods
A
MR
investigation
was
utilized
into
intricate
interplay
Information
regarding
211
microbial
taxa
sourced
from
MiBioGen
consortium.
The
summary
statistics
genome-wide
(GWAS)
for
AGA
were
obtained
FinnGen
biobank,
which
included
195
cases
201,019
controls.
Various
analytical
approaches,
including
Inverse
Variance
Weighting
(IVW),
Weighted
Median,
MR-Egger,
Mode,
Simple
Mode
employed
evaluate
impact
on
Sensitivity
analyses
subsequently
conducted
affirm
robustness
findings.
Results
unveiled
genus
Olsenella
,
Ruminococcaceae
UCG-004
UCG-010
identified
as
risk
factors
associated
with
In
contrast,
family
Acidaminococcaceae
Anaerofilum
along
Ruminiclostridium
9,
demonstrated
protective
effect.
sensitivity
provided
additional
assurance
that
findings
current
study
less
susceptible
influence
confounding
variables
biases.
Conclusion
has
established
link
specific
AGA,
offering
evidence
identification
more
precisely
targeted
probiotics.
This
discovery
aid
in
prevention,
control,
reversal
progression.
Signal Transduction and Targeted Therapy,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Feb. 5, 2024
Abstract
Extracellular
vesicles
(EVs)
are
nano-sized,
membranous
structures
secreted
into
the
extracellular
space.
They
exhibit
diverse
sizes,
contents,
and
surface
markers
ubiquitously
released
from
cells
under
normal
pathological
conditions.
Human
serum
is
a
rich
source
of
these
EVs,
though
their
isolation
proteins
non-EV
lipid
particles
poses
challenges.
These
transport
various
cellular
components
such
as
proteins,
mRNAs,
miRNAs,
DNA,
lipids
across
distances,
influencing
numerous
physiological
events,
including
those
within
tumor
microenvironment
(TME).
Their
pivotal
roles
in
communication
make
EVs
promising
candidates
for
therapeutic
agents,
drug
delivery
systems,
disease
biomarkers.
Especially
cancer
diagnostics,
EV
detection
can
pave
way
early
identification
offers
potential
diagnostic
Moreover,
subtypes
emerging
targeted
tools,
highlighting
clinical
significance.
The
need
non-invasive
biomarkers
to
monitor
biological
processes
purposes
remains
unfulfilled.
Tapping
unique
composition
could
unlock
advanced
avenues
future.
In
this
review,
we
discuss
detail
conditions,
cancers
(encompassing
head
neck,
lung,
gastric,
breast,
hepatocellular
carcinoma),
neurodegenerative
disorders,
diabetes,
viral
infections,
autoimmune
renal
diseases,
emphasizing
advancements
molecular
diagnostics
delivery.
Nucleic Acids Research,
Journal Year:
2021,
Volume and Issue:
50(D1), P. D118 - D128
Published: Oct. 21, 2021
Extracellular
vesicles
(EVs)
are
small
membranous
that
contain
an
abundant
cargo
of
different
RNA
species
with
specialized
functions
and
clinical
implications.
Here,
we
introduce
updated
online
database
(http://www.exoRBase.org),
exoRBase
2.0,
which
is
a
repository
EV
long
RNAs
(termed
exLRs)
derived
from
RNA-seq
data
analyses
diverse
human
body
fluids.
In
the
number
exLRs
has
increased
to
19
643
messenger
(mRNAs),
15
645
non-coding
(lncRNAs)
79
084
circular
(circRNAs)
obtained
∼1000
blood,
urine,
cerebrospinal
fluid
(CSF)
bile
samples.
Importantly,
2.0
not
only
integrates
compares
exLR
expression
profiles
but
also
visualizes
pathway-level
functional
changes
heterogeneity
origins
circulating
EVs
in
context
physiological
pathological
conditions.
Our
provides
attractive
platform
for
identification
novel
signatures
biofluids
will
aid
discovery
new
biomarkers
improve
disease
diagnosis
therapy.
International Journal of Molecular Sciences,
Journal Year:
2021,
Volume and Issue:
22(15), P. 8163 - 8163
Published: July 29, 2021
Extracellular
vesicles
(EVs)
are
important
players
for
intercellular
communication.
EVs
secreted
by
almost
all
cell
types;
they
can
transfer
information
between
nearby
or
distant
cells,
and
highly
abundant
in
body
fluids.
In
this
review,
we
describe
the
general
characteristics
of
EVs,
as
well
isolation
characterization
approaches.
Then,
focus
on
one
most
relevant
sources
EVs:
blood.
Indeed,
apart
from
blood
diverse
origins
travel
bloodstream.
We
present
numerous
types
that
have
been
found
circulation.
Besides,
implications
blood-derived
both
physiological
pathological
processes
summarized,
highlighting
their
potential
biomarkers
diagnosis,
treatment
monitoring,
prognosis
several
diseases,
also
indicators
modifications.
Finally,
applications
introduced
circulatory
system
discussed.
use
distinct
origins,
naturally
produced
engineered,
autologous,
allogeneic,
even
different
species
effects
when
Therefore,
work
provides
a
comprehensive
overview
components,
effects,
Journal of Extracellular Vesicles,
Journal Year:
2024,
Volume and Issue:
13(1)
Published: Jan. 1, 2024
Abstract
Blood
is
the
most
commonly
used
body
fluid
for
obtaining
and
studying
extracellular
vesicles
(EVs).
While
blood
a
standard
choice
clinical
analysis,
using
as
source
of
EVs
introduces
multiple
layers
complexity.
At
Extracellular
Vesicle
Workshop
organized
by
International
Society
Vesicles
in
Helsinki
(2022),
it
became
evident
that
beginner
researchers
lack
trustworthy
information
on
how
to
initiate
their
research
avoid
common
pitfalls.
This
educational
guide
explains
composition
frequently
terminology
blood,
provides
guidelines
collection,
preparation
plasma
serum.
It
also
basic
principles
isolating
detecting
while
considering
blood‐related
factors.
The
goal
this
assist
beginners
offering
concise
evidence‐based
introduction
current
knowledge
available
resources
study
EVs.
Advanced Science,
Journal Year:
2024,
Volume and Issue:
11(30)
Published: June 14, 2024
Abstract
In
recent
decades,
research
on
Extracellular
Vesicles
(EVs)
has
gained
prominence
in
the
life
sciences
due
to
their
critical
roles
both
health
and
disease
states,
offering
promising
applications
diagnosis,
drug
delivery,
therapy.
However,
inherent
heterogeneity
complex
origins
pose
significant
challenges
preparation,
analysis,
subsequent
clinical
application.
This
review
is
structured
provide
an
overview
of
biogenesis,
composition,
various
sources
EVs,
thereby
laying
groundwork
for
a
detailed
discussion
contemporary
techniques
preparation
analysis.
Particular
focus
given
state‐of‐the‐art
technologies
that
employ
microfluidic
non‐microfluidic
platforms
EV
processing.
Furthermore,
this
discourse
extends
into
innovative
approaches
incorporate
artificial
intelligence
cutting‐edge
electrochemical
sensors,
with
particular
emphasis
single
proposes
current
outlines
prospective
avenues
future
research.
The
objective
motivate
researchers
innovate
expand
methods
analysis
fully
unlocking
biomedical
potential.
Cancer Letters,
Journal Year:
2021,
Volume and Issue:
524, P. 57 - 69
Published: Oct. 15, 2021
Growing
bodies
of
evidence
have
demonstrated
that
the
identification
prostate
cancer
(PCa)
biomarkers
in
patients'
blood
and
urine
may
remarkably
improve
PCa
diagnosis
progression
monitoring.
Among
diverse
cancer-derived
circulating
materials,
extracellular
RNA
molecules
(exRNAs)
represent
a
compelling
component
to
investigate
cancer-related
alterations.
Once
outside
intracellular
environment,
exRNAs
circulate
biofluids
either
association
with
protein
complexes
or
encapsulated
inside
vesicles
(EVs).
Notably,
EV-associated
RNAs
(EV-RNAs)
were
used
for
development
several
assays
(such
as
FDA-approved
Progensa
Prostate
Cancer
Antigen
3
(PCA3
test)
aiming
at
improving
early
detection.
EV-RNAs
encompass
mixture
species,
including
small
non-coding
(e.g.
miRNA
circRNA),
lncRNAs
mRNAs.
Several
methods
been
proposed
isolate
EVs
relevant
RNAs,
perform
RNA-Seq
studies
identify
potential
biomarkers.
However,
circulation
patient
include
multitude
populations
are
released
by
both
normal
cells
from
different
tissues,
thereby
leading
heterogeneous
EV-RNA-associated
transcriptional
signal.
Decrypting
complexity
such
composite
signal
is
nowadays
major
challenge
faced
specific
tumor-associated
RNAs.
Multiple
deconvolution
algorithms
so
far
infer
enrichment
cancer-specific
signals
gene
expression
data.
novel
strategies
sorting
sequencing
associated
single
will
facilitate
molecules.
Altogether,
summarized
here
demonstrate
high
using
EV-RNA
highlight
urgent
need
technologies
computational
approaches
characterize
their
cargo.
Journal of Extracellular Biology,
Journal Year:
2022,
Volume and Issue:
1(6)
Published: June 1, 2022
Abstract
Extracellular
vesicles
(EVs)
have
been
implicated
in
the
intercellular
transfer
of
RNA
and
proteins
through
cellular
secretion
into
extracellular
space.
In
blood
plasma,
circulating
EVs
are
mainly
derived
from
cells;
however,
factors
that
control
plasma
EV
abundance
largely
unknown.
Here,
we
estimate
rates
for
cell
types
using
reported
values
cell‐specific
abundances
their
parental
cell's
ubiquity
healthy
humans.
While
found
contains
on
average
∼2
EVs/cell,
EV‐to‐cell
ratio
spanned
four
orders
magnitude
0.13
±
0.1
erythrocyte‐derived
EVs/erythrocyte
to
(1.9
1.3)
×
10
3
monocyte‐derived
EVs/monocyte.
The
steady‐state
level
was
maintained
by
an
estimated
rate
(1.5
0.4)
12
EVs/min.
estimates
were
highest
monocytes
(45
21
EVs/cell/min)
lowest
erythrocytes
((3.2
3.0)
−3
EVs/cell/min).
basal
not
significantly
correlated
lifespan
or
size;
observed
a
highly
significant
correlation
mitochondrial
enzyme
activities.
Together,
our
analysis
indicates
metabolism,
example,
via
reactive
oxygen
species,
affects
increased
rates,
results
provide
resource
understanding
function
human
health
disease.
British Journal of Cancer,
Journal Year:
2023,
Volume and Issue:
130(1), P. 63 - 72
Published: Nov. 16, 2023
Abstract
Background
Circulating
tumour
cells
(CTCs),
circulating
DNA
(ctDNA),
and
extracellular
vesicles
(EVs)
are
minimally
invasive
liquid
biopsy
biomarkers.
This
study
investigated
whether
they
predict
prognosis,
alone
or
in
combination,
heterogenous
unbiased
non-small
cell
lung
cancer
(NSCLC)
patients.
Methods
Plasma
samples
of
54
advanced
NSCLC
patients
from
a
prospective
clinical
trial.
CtDNA
mutations
were
identified
using
the
UltraSEEK™
Lung
Panel
(MassARRAY®
technology).
PD-L1
expression
was
assessed
small
EVs
(sEVs)
an
enzyme-linked
immunosorbent
assay.
Results
At
least
one
ctDNA
mutation
detected
37%
Mutations
not
correlated
with
overall
survival
(OS)
(HR
=
1.1,
95%
CI
0.55;
1.83,
P
0.980)
progression-free
(PFS)
1.00,
0.57–1.76,
0.991).
High
+
sEV
concentration
OS
1.14,
1.03–1.26,
0.016),
but
PFS
1.08,
0.99–1.18,
0.095).
The
interaction
analysis
suggested
that
correlation
changed
function
CTC
presence/absence
(
0.036).
combination
highlighted
worse
prognosis
for
CTCs
high
7.65,
3.11–18.83,
<
0.001).
mutational
statuses
tissue
significantly
0.0001).
Conclusion
OS,
mutations.
Their
combined
may
help
to
identify
OS.
Trial
registration
NCT02866149,
Registered
01
June
2015,
https://clinicaltrials.gov/ct2/show/study/NCT02866149
.