ACS Biomaterials Science & Engineering,
Journal Year:
2023,
Volume and Issue:
9(9), P. 5205 - 5221
Published: Aug. 14, 2023
Glioblastoma
(GBM)
is
an
aggressive
type
of
cancer
that
has
led
to
the
death
a
large
population.
The
traditional
approach
fails
develop
solution
for
GBM's
suffering
life.
Extensive
research
into
tumor
microenvironments
(TME)
indicates
TME
extracellular
vesicles
(EVs)
play
vital
role
in
development
and
progression.
EVs
are
classified
microvacuoles,
apoptotic
bodies,
exosomes.
Exosomes
most
highlighted
domains
research.
GBM
cell-derived
exosomes
participate
multiple
progression
events
such
as
immune
suppression,
angiogenesis,
premetastatic
niche
formation
(PMN),
ECM
(extracellular
matrix),
EMT
(epithelial-to-mesenchymal
transition),
metastasis,
stem
cell
therapeutic
drug
resistance.
also
carry
signature
glioblastoma-related
status.
exosome-based
examination
part
new
generation
liquid
biopsy.
It
solved
early
diagnostic
limitations
GBM.
Traditional
approaches
do
not
cross
blood–brain
barrier
(BBB).
game
changer
treatment
it
emerging
potential
platform
effective,
efficient,
specific
development.
In
this
review,
we
have
explored
exosome–GBM
interlink,
clinical
impact
on
biomarkers,
therapeutics
GBM,
challenges,
future
directions
Therefore,
GBM-derived
offer
unique
opportunities,
which
currently
under
preclinical
testing.
Analytical Chemistry,
Journal Year:
2023,
Volume and Issue:
95(29), P. 11019 - 11027
Published: July 7, 2023
A
microdroplet-based
surface-enhanced
Raman
spectroscopy
(microdroplet
SERS)
platform
was
constructed
to
envelop
individual
cells
in
microdroplets,
followed
by
the
SERS
detection
of
their
extracellular
vesicle-proteins
(EV-proteins)
via
in-drop
immunoassays
use
immunomagnetic
beads
(iMBs)
and
immuno-SERS
tags
(iSERS
tags).
unique
phenomenon
is
found
that
iMBs
can
start
a
spontaneous
reorientation
on
probed
cell
surface
based
electrostatic
force-driven
interfacial
aggregation
effect,
which
leads
EV-proteins
iSERS
be
gathered
from
liquid
phase
membrane
interface
significantly
improves
sensitivity
single-cell
analysis
level
due
formation
numbers
hotspots.
Three
two
breast
cancer
lines
were
collected
further
analyzed
machine
learning
algorithmic
tools,
will
helpful
for
deeper
understanding
subtypes
view
EV-proteins.
ACS Applied Nano Materials,
Journal Year:
2024,
Volume and Issue:
7(8), P. 8489 - 8506
Published: April 15, 2024
Cancer
is
the
most
challenging
health
complication
worldwide.
Scientific
society
has
tried
to
decode
its
complications
and
developing
a
smart
solution
for
mankind.
Extracellular
vesicles
(EVs)
are
an
emerging
frontier
in
cancer
research.
EVs
provide
fresh
insight
into
understanding
of
released
from
all
active
cells.
classified
some
major
classes,
such
as
apoptotic
bodies,
microvesicles,
exosomes.
Exosomes
among
exciting
tools
current
research
they
work
cellular
messengers
(which
reflects
cell's
healthy
or
pathological
conditional
status).
In
tumor
microenvironment,
regulate
several
complicated
events
uncontrolled
cell
growth,
immune
suppression,
angiogenesis,
extracellular
matrix
remodeling,
metastasis,
organ-specific
drug
therapeutic
resistance,
stem
development.
also
source
promising
biomarkers
involved
both
diagnosis
prognosis
performs
role.
Exosomes-based
nanomedicine
which
application
nanosize
theranostics
sensor
orientation,
supports
overcoming
management
limitations,
early
therapeutics
specific,
effective,
affordable.
this
review,
we
have
highlighted
integration
exosomes
nanotechnology
cutting-edge
approach
precision
oncology.
International Journal of Nanomedicine,
Journal Year:
2024,
Volume and Issue:
Volume 19, P. 3657 - 3675
Published: April 1, 2024
Abstract:
Exosomes
are
extracellular
vesicles
that
originate
from
various
cells
and
mediate
intercellular
communication,
altering
the
behavior
or
fate
of
recipient
cells.
They
carry
diverse
macromolecules,
such
as
lipids,
proteins,
carbohydrates,
nucleic
acids.
Environmental
stressors
can
change
exosomal
contents
many
cells,
making
them
useful
for
diagnosing
chronic
disorders,
especially
neurodegenerative,
cardiovascular,
cancerous,
diabetic
diseases.
Moreover,
exosomes
be
engineered
therapeutic
agents
to
modulate
disease
processes.
State-of-art
techniques
employed
separate
including
ultracentrifugation,
size-exclusion
chromatography
immunoaffinity.
However,
modern
technologies
aqueous
two-phase
system
well
microfluidics
gaining
attention
in
recent
years.
The
article
highlighted
composition,
biogenesis,
implications
exosomes,
standard
novel
methods
isolating
applying
biomarkers
cargo
carriers.
Keywords:
Exosomes,
vesicles,
biomarkers,
carriers,
separation
ACS Applied Bio Materials,
Journal Year:
2024,
Volume and Issue:
7(4), P. 2128 - 2139
Published: April 3, 2024
Cancer
research
has
made
significant
progress
in
recent
years,
and
extracellular
vesicles
(EVs)
based
cancer
investigation
reveals
several
facts
about
cancer.
Exosomes
are
a
subpopulation
of
EVs.
In
the
present
decade,
exosomes
is
mostly
highlighted
for
theranostic
research.
Tumor
cell
derived
(TEXs)
promote
but
there
multiple
sources
that
can
be
used
as
therapeutic
agents
(plant
exosomes,
stem
cell-derived
modified
or
synthetic
exosomes).
Stem
cells
regenerative
medicine
faces
numerous
challenges,
such
tumor
development,
cellular
reprogramming
etc.,
therefore
addressing
these
complications
becomes
essential.
serves
an
answer
to
problems
offers
better
solution.
Global
indicates
also
play
dual
role
system
by
either
inhibiting
promoting
Modified
which
genetically
engineered
surface
increase
efficacy
properties
considered
target
above
concerns.
However,
difficulties
associated
with
include
variations
heterogenity,
isolation
protocols,
large
scale
production,
have
managed
effectively.
this
review,
we
explore
biogenesis,
exosome
sources,
drug
delivery,
clinical
trial
related
challenges
domain
future
orientation.
This
article
may
encourage
researchers
develop
effective
affordable
ACS Applied Bio Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 12, 2025
As
we
progress
into
the
21st
century,
cancer
stands
as
one
of
most
dreaded
diseases.
With
approximately
in
every
four
individuals
facing
a
lifetime
risk
developing
cancer,
remains
serious
health
challenges
worldwide.
Its
multifaceted
nature
makes
it
an
arduous
and
tricky
problem
to
diagnose
treat.
Over
years,
researchers
have
explored
plenty
approaches
avenues
improve
management.
One
notable
strategy
includes
study
extracellular
vesicles
(EVs)
potential
biomarkers
therapeutics.
Among
these
EVs,
exosomes
emerged
particularly
promising
candidates
due
their
unique
characteristic
properties
functions.
They
are
small
membrane-bound
secreted
by
cells
carrying
cargo
biomolecules
such
proteins,
nucleic
acids,
lipids.
These
play
crucial
roles
intercellular
communication,
facilitating
transfer
biological
information
between
cell-to-cell
communication.
Exosomes
transport
cargoes
DNA,
RNA,
lipids
involved
cellular
reprogramming
promoting
cancer.
In
this
review,
explore
molecular
composition
exosomes,
significance
chemistry
development,
its
theranostic
application
well
research
complications
solutions.
ACS Nano,
Journal Year:
2023,
Volume and Issue:
17(18), P. 17668 - 17698
Published: Sept. 11, 2023
Extracellular
vesicles
(EVs)
are
extensively
dispersed
lipid
bilayer
membrane
involved
in
the
delivery
and
transportation
of
molecular
payloads
to
certain
cell
types
facilitate
intercellular
interactions.
Their
significant
roles
physiological
pathological
processes
make
EVs
outstanding
biomarkers
for
disease
diagnosis
treatment
monitoring
as
well
ideal
candidates
drug
delivery.
Nevertheless,
differences
biogenesis
among
EV
subpopulations
have
led
a
diversity
biophysical
characteristics
cargos.
Additionally,
prevalent
heterogeneity
has
been
found
substantially
hamper
sensitivity
accuracy
therapeutic
monitoring,
thus
impeding
advancement
clinical
applications.
In
recent
years,
evolution
single
(SEV)
analysis
enabled
an
in-depth
comprehension
physical
properties,
composition,
biological
at
individual
vesicle
level.
This
review
examines
sample
acquisition
tactics
prior
SEV
analysis,
i.e.,
isolation
techniques,
outlines
current
state-of-the-art
label-free
label-based
technologies
identification.
Furthermore,
challenges
prospects
biomedical
applications
based
on
systematically
discussed.
