International Journal of Nanomedicine,
Год журнала:
2022,
Номер
Volume 17, С. 1365 - 1379
Опубликована: Март 1, 2022
Background:
Low
delivery
efficiency
of
nanoparticles
(NPs)
to
the
tumor
is
a
critical
barrier
in
field
cancer
nanomedicine.
Strategies
on
how
improve
NP
remain
be
determined.
Methods:
This
study
analyzed
roles
physicochemical
properties,
models,
and
types
using
multiple
machine
learning
artificial
intelligence
methods,
data
from
recently
published
Nano-Tumor
Database
that
contains
376
datasets
generated
physiologically
based
pharmacokinetic
(PBPK)
model.
Results:
The
deep
neural
network
model
adequately
predicted
different
NPs
tumors
it
outperformed
all
other
methods;
including
random
forest,
support
vector
machine,
linear
regression,
bagged
methods.
adjusted
determination
coefficients
(R
2
)
full
training
dataset
were
0.92,
0.77,
0.77
0.76
for
maximum
(DE
max
),
at
24
h
168
last
sampling
time
Tlast
).
corresponding
R
values
test
0.70,
0.46,
0.33
0.63,
respectively.
Also,
this
showed
type
was
an
important
determinant
predicting
across
endpoints
(19–
29%).
Among
Zeta
potential
core
material
played
greater
role
than
such
as
type,
shape,
targeting
strategy.
Conclusion:
provides
quantitative
design
nanomedicine
with
efficiency.
These
results
help
our
understanding
causes
low
demonstrates
feasibility
integrating
PBPK
modeling
approaches
Graphical
Abstract:
Keywords:
intelligence,
learning,
modeling,
nanomedicine,
drug
delivery,
nanotechnology
Materials Today Bio,
Год журнала:
2022,
Номер
13, С. 100208 - 100208
Опубликована: Янв. 1, 2022
Nanotechnology
in
medical
applications,
especially
oncology
as
drug
delivery
systems,
has
recently
shown
promising
results.
However,
although
these
advances
have
been
the
pre-clinical
stages,
clinical
translation
of
this
technology
is
challenging.
To
create
systems
with
increased
treatment
efficacy
for
translation,
physicochemical
characteristics
nanoparticles
such
size,
shape,
elasticity
(flexibility/rigidity),
surface
chemistry,
and
charge
can
be
specified
to
optimize
efficiency
a
given
application.
Consequently,
interdisciplinary
researchers
focused
on
producing
biocompatible
materials,
production
technologies,
or
new
formulations
efficient
loading,
high
stability.
The
effects
design
parameters
studied
Polymers,
Год журнала:
2022,
Номер
14(13), С. 2601 - 2601
Опубликована: Июнь 27, 2022
Passive
targeting
is
the
foremost
mechanism
by
which
nanocarriers
and
drug-bearing
macromolecules
deliver
their
payload
selectively
to
solid
tumors.
An
important
driver
of
passive
enhanced
permeability
retention
(EPR)
effect,
cornerstone
most
carrier-based
tumor-targeted
drug
delivery
efforts.
Despite
huge
number
publications
showcasing
successes
in
preclinical
animal
models,
translation
clinic
has
been
poor,
with
only
a
few
nano-based
drugs
currently
being
used
for
treatment
cancers.
Several
barriers
factors
have
adduced
low
efficiency
tumors
poor
clinical
translation,
including
characteristics
macromolecules,
vascular
physiological
barriers,
heterogeneity
tumor
blood
supply
affects
homogenous
distribution
within
tumors,
transport
penetration
depth
nanoparticles
matrix.
To
address
challenges
associated
therapeutic
efficacy
humans,
identified
that
affect
effect
macromolecular
therapeutics
nanoparticle
systems
need
be
overcome.
In
this
review,
approaches
facilitate
improved
EPR
outcomes
novel
are
discussed.
Abstract
Recently,
the
field
of
nanomedicine
has
witnessed
substantial
advancements
in
development
nanocarriers
for
targeted
drug
delivery,
emerges
as
promising
platforms
to
enhance
therapeutic
efficacy
and
minimize
adverse
effects
associated
with
conventional
chemotherapy.
Notably,
deformable
have
garnered
considerable
attention
due
their
unique
capabilities
size
changeable,
tumor‐specific
aggregation,
stimuli‐triggered
disintegration,
morphological
transformations.
These
present
significant
opportunities
revolutionizing
delivery
strategies,
by
responding
specific
stimuli
or
environmental
cues,
enabling
achieved
various
functions
at
tumor
site,
including
size‐shrinkage
penetration,
aggregative
retention
effect,
disintegrating
enable
controlled
release,
shape‐changing
improve
cellular
uptake,
allowing
personalized
treatment
approaches
combination
therapies.
This
review
provides
an
overview
recent
developments
applications
enhancing
therapy,
underscores
diverse
design
strategies
employed
create
elucidates
remarkable
potential
therapy.
European Journal of Pharmaceutics and Biopharmaceutics,
Год журнала:
2024,
Номер
199, С. 114310 - 114310
Опубликована: Май 4, 2024
Nanoparticle-based
drug
delivery
systems
hold
potential
in
chemotherapy,
but
their
limited
accumulation
tumor
tissues
hinders
effective
concentration
for
combating
growth.
Hence,
altering
the
physicochemical
properties
of
nanoparticles,
particularly
surface
charge,
can
enhance
performance.
This
study
utilized
a
computational
model
to
explore
nanoparticle
system
capable
dynamically
adjusting
its
charge.
In
model,
nanoparticles
bloodstream
were
assigned
neutral
or
positive
which,
upon
reaching
microenvironment,
switched
negative
and
releasing
chemotherapy
drugs
into
extracellular
space.
Results
revealed
that
circulating
with
despite
having
shorter
circulation
high
clearance
rate
compared
counterparts,
could
accumulate
significantly
tissue
due
transvascular
rate.
After
extravasation,
neutralized
surface-charged
tended
only
near
blood
microvessels
low
diffusion
rate,
resulting
substantial
released
drainage
back
bloodstream.
On
other
hand,
charge
tumor's
space,
reduction
nano-bio
interactions,
able
penetrate
deeper
tumor,
increasing
bioavailability
by
reducing
volume
drained
drugs.
Furthermore,
analysis
suggested
burst
release
yields
higher
than
sustained
release,
however
creation
dependent
on
tissue.
The
study's
findings
demonstrate
this
offer
valuable
insights
future
research
area.
Pharmaceutics,
Год журнала:
2024,
Номер
16(8), С. 1076 - 1076
Опубликована: Авг. 16, 2024
Preclinical
and
clinical
studies
have
demonstrated
that
precision
therapy
has
a
broad
variety
of
treatment
applications,
making
it
an
interesting
research
topic
with
exciting
potential
in
numerous
sectors.
However,
major
obstacles,
such
as
inefficient
unsafe
delivery
systems
severe
side
effects,
impeded
the
widespread
use
medicine.
The
purpose
drug
(DDSs)
is
to
regulate
time
place
release
action.
They
aid
enhancing
equilibrium
between
medicinal
efficacy
on
target
hazardous
effects
off
target.
One
promising
approach
biomaterial-assisted
biotherapy,
which
takes
advantage
biomaterials’
special
capabilities,
high
biocompatibility
bioactive
characteristics.
When
administered
via
different
routes,
molecules
deal
biological
barriers;
DDSs
help
them
overcome
these
hurdles.
With
their
adaptable
features
ample
packing
capacity,
biomaterial-based
allow
for
targeted,
localised,
prolonged
medications.
Additionally,
they
are
being
investigated
more
controlling
interface
host
tissue
implanted
biomedical
materials.
This
review
discusses
innovative
nanoparticle
designs
non-personalised
applications
improve
therapies.
We
prioritised
design
trends
address
heterogeneous
barriers,
because
we
believe
intelligent
can
patient
outcomes
by
enabling
improving
general
efficacy.
additionally
reviewed
most
recent
literature
biomaterials
used
biotherapy
vaccine
development,
covering
delivery,
stem
cell
therapy,
gene
other
similar
fields;
also
addressed
difficulties
future
biotherapies.
