Drug Delivery,
Journal Year:
2025,
Volume and Issue:
32(1)
Published: March 3, 2025
Regulating
inflammatory
microglia
presents
a
promising
strategy
for
treating
neurodegenerative
and
autoimmune
disorders,
yet
effective
therapeutic
agents
delivery
to
these
cells
remains
challenge.
This
study
investigates
modified
lipid
nanoparticles
(LNP)
mRNA
hyperactivated
microglia,
particularly
those
with
pro-inflammatory
characteristics,
utilizing
supervised
machine
learning
(ML)
classifiers.
We
developed
screened
library
of
216
LNP
formulations
varying
compositions,
N/P
ratios,
hyaluronic
acid
(HA)
modifications.
The
transfection
efficiency
eGFP
was
assessed
in
the
BV-2
murine
cell
line
under
different
immunological
states,
including
resting
activated
conditions
(LPS-activated
IL4/IL13-activated).
ML-guided
morphometric
analysis
tracked
phenotypes
various
subtypes
before
after
transfection.
Four
ML
classifiers
were
investigated
predict
phenotypic
changes
based
on
design
parameters.
Multi-Layer
Perceptron
(MLP)
neural
network
emerged
as
best-performing
model,
achieving
weighted
F1-scores
≥0.8.
While
it
accurately
predicted
responses
from
LPS-activated
cells,
struggled
IL4/IL13-activated
cells.
MLP
model
validated
by
predicting
performance
four
unseen
delivering
BV2
HA-LNP2
optimal
formulation
target
IL10
mRNA,
effectively
suppressing
phenotypes,
evidenced
shifts
morphology,
increased
expression,
reduced
TNF-α
levels.
also
evaluated
human
iPSC-derived
confirming
its
efficacy
modulating
responses.
highlights
potential
tailored
techniques
enhance
therapy
neuroinflammatory
disorders
leveraging
carrier's
immunogenic
properties
modulate
microglial
Vaccines,
Journal Year:
2024,
Volume and Issue:
12(2), P. 165 - 165
Published: Feb. 6, 2024
Dendritic
cells
(DCs)
serve
as
professional
antigen-presenting
(APC)
bridging
innate
and
adaptive
immunity,
playing
an
essential
role
in
triggering
specific
cellular
humoral
responses
against
tumor
infectious
antigens.
Consequently,
various
DC-based
antitumor
therapeutic
strategies
have
been
developed,
particularly
vaccines,
intensively
investigated
specifically
the
context
of
acute
myeloid
leukemia
(AML).
This
hematological
malignancy
mainly
affects
elderly
population
(those
aged
over
65),
which
usually
presents
a
high
rate
failure
unfavorable
prognosis.
In
this
review,
we
examine
current
state
development
progress
vaccines
AML.
The
findings
evidence
possible
administration
adjuvant
treatment
AML
following
initial
therapy.
Furthermore,
therapy
demonstrates
promising
outcomes
preventing
or
delaying
relapse
exhibits
synergistic
effects
when
combined
with
other
treatments
during
relapses
disease
progression.
On
hand,
remarkable
success
observed
RNA
for
COVID-19,
delivered
lipid
nanoparticles,
has
revealed
efficacy
effectiveness
these
types
vectors,
prompting
further
exploration
their
potential
application
AML,
well
neoplasms,
loading
them
RNA.
Theranostics,
Journal Year:
2024,
Volume and Issue:
14(14), P. 5528 - 5550
Published: Jan. 1, 2024
Messenger
RNA
(mRNA)
therapy
has
been
applied
to
the
treatment
of
various
human
diseases
including
malignant
tumors.
Increasing
evidences
have
shown
that
mRNA
can
enhance
efficacy
cancer
immunotherapy
by
modulating
functions
immune
cells
and
stimulating
their
activity.
However,
is
a
type
negatively
charged
biomacromolecules
are
susceptible
serum
nucleases
cannot
readily
cross
cell
membrane.
In
past
few
decades,
nanoparticles
(NPs)-based
delivery
systems
rationally
designed
developed
facilitate
intracellular
uptake
cytosolic
mRNA.
More
importantly,
means
specific
recognition
between
targeting
ligands
decorated
on
NP
surface
receptors
specifically
expressed
cells,
these
could
be
functionalized
target
further
mRNA-based
immunotherapy.
this
review,
we
briefly
introduced
advancements
in
therapy,
discussed
challenges
faced
delivery,
systematically
summarized
recent
development
NPs-based
types
for
The
future
NPs-mediated
targeted
clinical
translation
also
discussed.
Advanced Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 30, 2025
Abstract
Intranasal
delivery
of
mRNA
vaccines
offers
promising
opportunities
to
combat
airborne
viruses
like
SARS‐CoV‐2
by
provoking
mucosal
immunity,
which
not
only
defends
against
respiratory
infection
but
also
prevents
contagious
transmission.
However,
the
development
nasal
has
been
hampered
lack
effective
means
overcome
mucus
barrier.
Herein,
ionizable
lipid‐incorporated
liquid
lipid
nanoparticles
(iLLNs)
capable
delivering
cargo
across
airway
mucosa
are
designed.
Adjusting
ratios
and
cationic
lipids
allows
fine‐tuning
p
K
a
iLLNs
range
pH
(5.5–6.5),
thus
facilitating
penetration
via
formation
near‐neutral,
PEGylated
muco‐inert
surfaces.
When
nasally
administered
mice,
top
candidate
iLLN‐2/mRNA
complexes
enable
about
60‐fold
greater
reporter
gene
expression
in
cavity,
compared
benchmark
mRNA‐lipid
(ALC‐LNP)
having
same
composition
as
that
BNT162b2
vaccine.
Moreover,
prime‐boost
intranasal
immunization
elicits
magnitude
spike‐specific
IgA
IgG
response
than
ALC‐LNP,
without
triggering
any
noticeable
inflammatory
reactions.
Taken
together,
these
results
provide
useful
insights
for
design
deliverable
formulations
prophylactic
applications.
Drug Delivery,
Journal Year:
2025,
Volume and Issue:
32(1)
Published: March 3, 2025
Regulating
inflammatory
microglia
presents
a
promising
strategy
for
treating
neurodegenerative
and
autoimmune
disorders,
yet
effective
therapeutic
agents
delivery
to
these
cells
remains
challenge.
This
study
investigates
modified
lipid
nanoparticles
(LNP)
mRNA
hyperactivated
microglia,
particularly
those
with
pro-inflammatory
characteristics,
utilizing
supervised
machine
learning
(ML)
classifiers.
We
developed
screened
library
of
216
LNP
formulations
varying
compositions,
N/P
ratios,
hyaluronic
acid
(HA)
modifications.
The
transfection
efficiency
eGFP
was
assessed
in
the
BV-2
murine
cell
line
under
different
immunological
states,
including
resting
activated
conditions
(LPS-activated
IL4/IL13-activated).
ML-guided
morphometric
analysis
tracked
phenotypes
various
subtypes
before
after
transfection.
Four
ML
classifiers
were
investigated
predict
phenotypic
changes
based
on
design
parameters.
Multi-Layer
Perceptron
(MLP)
neural
network
emerged
as
best-performing
model,
achieving
weighted
F1-scores
≥0.8.
While
it
accurately
predicted
responses
from
LPS-activated
cells,
struggled
IL4/IL13-activated
cells.
MLP
model
validated
by
predicting
performance
four
unseen
delivering
BV2
HA-LNP2
optimal
formulation
target
IL10
mRNA,
effectively
suppressing
phenotypes,
evidenced
shifts
morphology,
increased
expression,
reduced
TNF-α
levels.
also
evaluated
human
iPSC-derived
confirming
its
efficacy
modulating
responses.
highlights
potential
tailored
techniques
enhance
therapy
neuroinflammatory
disorders
leveraging
carrier's
immunogenic
properties
modulate
microglial