Supercritical Fluid‐Processed Multifunctional Hybrid Decellularized Extracellular Matrix with Chitosan Hydrogel for Improving Photoaged Dermis Microenvironment
Advanced Healthcare Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 20, 2025
Abstract
To
address
the
demand
for
reconstructive
procedures
in
extensive
subcutaneous
tissue
defects
and
significant
dermis
matrix
loss,
vascularized
adipose
regeneration
is
essential
maintaining
volume
after
material
degradation.
Accordingly,
a
double‐crosslinked
hydrogel
that
combines
polyethylene
glycol
(PEG)‐crosslinked
carboxymethyl
chitosan
(CMC)
with
hybrid
decellularized
extracellular
(dECM)
developed.
The
dECM,
sourced
from
porcine
cardiac
tissues,
processed
using
supercritical
fluid
technique
(scCO
2
‐EtOH)
retains
1.5–5‐fold
more
angiogenic
adipogenic
cytokines
than
traditional
methods.
This
dECM‐based
filler
demonstrates
excellent
physical
properties
injectability,
injection
forces
being
significantly
less
crosslinked
hyaluronic
acid
(HA)
fillers.
Upon
incubation
at
37
°C,
storage
modulus
of
fillers
increases
substantially,
eventually
enhancing
their
moldability
additional
crosslinking
thermosensitive
nature
collagen.
Assessments
UVB‐induced
photoaging
mouse
model
indicate
maintains
superior
shape
stability,
durability,
supports
regeneration,
reduces
inflammation,
enhances
VEGF
expression
ECM
maturation
effectively
compared
other
These
promising
results
suggest
can
serve
as
highly
effective
multifunctional
solution
injectable
regenerative
medical
applications
well‐suited
potential
clinical
trials.
Language: Английский
Potential Targets Related to Skin Aging: Based on eQTL and GWAS Datasets
Clinical Cosmetic and Investigational Dermatology,
Journal Year:
2025,
Volume and Issue:
Volume 18, P. 677 - 686
Published: March 1, 2025
The
aging
of
skin
has
important
impact
on
various
systems,
and
certain
(SG)
markers
can
not
only
help
with
early
diagnosis,
but
also
provide
new
ideas
for
pathophysiological
research
treatment
strategies.
To
identify
target
genes
related
to
SG
through
bioinformatics
technology
anti-aging.
Differential
expression
(DEGs)
were
screened
transcriptome
information
from
GEO
datasets
(GSE85358
GSE670988).
Based
eQTL
GWAS
datasets,
Mendelian
Randomization
(MR)
analysis
was
applied
associations
between
gene
SG.
Then,
(AS-IGs)
obtained
based
above
two
steps,
functional
pathway
analyses
performed
explore
the
potential
mechanisms
AS-IGs
in
Finally,
CIBERSORT
evaluation
used
assess
infiltration
immune
cells
Seven
selected
intersection
612
DEGs
399
genes.
enrichment
results
showed
there
60
GO
terms
may
involved
process
SG,
like
fatty-acyl-CoA
metabolic
process,
while
KEGG
pathways
identified
mainly
fatty
acid
metabolism,
energy
generation,
inflammation
regulation.
that
NK
resting
main
infiltrating
cells.
play
roles
body.
These
molecules
involve
multiple
systems
body,
such
as
function,
neuroendocrine
function.
Language: Английский
Pyrroloquinoline Quinone Reprograms the Single‐Cell Landscape of Immune Aging in Hematopoietic Immune System
Aging Cell,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 7, 2025
ABSTRACT
Aging
is
an
inevitable
biological
process,
driven
in
part
by
increased
oxidative
stress,
which
accelerates
cellular
damage
and
contributes
to
immune
system
dysfunction.
Therefore,
targeting
stress
has
emerged
as
a
potential
strategy.
Pyrroloquinoline
quinone
(PQQ),
potent
antioxidant,
demonstrated
significant
efficacy
reducing
modulating
responses,
making
it
promising
therapeutic
candidate.
In
this
study,
we
investigated
the
effects
of
aging
on
hematopoietic
(HIS)
through
single‐cell
RNA
sequencing
(scRNA‐seq)
spleen
bone
marrow
cells
murine
models.
Our
results
revealed
widespread
age‐related
inflammation
within
cell
populations.
Notably,
long‐term
PQQ
supplementation
improved
physiological
parameters
reduced
blood
inflammatory
factors
levels
aged
mice.
Subsequent
scRNA‐seq
analysis
that
effectively
across
various
HIS
types
reversed
aging‐related
phenotypes,
such
responses
immunosenescence.
Additionally,
aging‐induced
disrupted
signaling
restored
homeostasis,
particularly
B
stem
(HSCs).
Importantly,
identified
critical
molecular
targets,
including
ASPP1,
mediates
PQQ's
anti‐apoptotic
cells,
Yy1
CD62L,
were
upregulated
restore
HSCs
self‐renewal
differentiation
potential.
Furthermore,
machine
learning
program
experimental
validation
senolytic
senomorphic
vivo
vitro.
These
findings
underscore
not
only
mitigating
but
also
restoring
homeostasis
promoting
regeneration,
highlighting
its
addressing
improving
function.
Language: Английский
Aging, senescence, and cutaneous wound healing—a complex relationship
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Oct. 17, 2024
Cutaneous
wound
healing
is
a
complex
multi-step
process
that
highly
controlled,
ensuring
efficient
repair
to
damaged
tissue
and
restoring
architecture.
Multiple
cell
types
play
critical
role
in
healing,
perturbations
this
can
lead
non-healing
wounds
or
scarring
fibrosis.
Thus,
the
tightly
regulated
controlled.
Cellular
senescence
defined
as
irreversible
cycle
arrest
associated
with
various
phenotypic
changes
metabolic
alterations
coupled
secretory
program.
Its
at
least
acute
setting,
appears
help
promote
appropriate
mechanisms
leading
complete
restoration
of
Opposing
chronic
where
it
either
Given
two
opposing
outcomes
settings,
has
led
disparate
views
on
healing.
This
review
aims
consolidate
knowledge
aging
examining
nuances
roles
attempts
evaluate
modulation
Language: Английский
Signal execution modes emerge in biochemical reaction networks calibrated to experimental data
Oscar O Ortega,
No information about this author
Mustafa Ozen,
No information about this author
Blake A. Wilson
No information about this author
et al.
iScience,
Journal Year:
2024,
Volume and Issue:
27(6), P. 109989 - 109989
Published: May 16, 2024
Mathematical
models
of
biomolecular
networks
are
commonly
used
to
study
cellular
processes;
however,
their
usefulness
explain
and
predict
dynamic
behaviors
is
often
questioned
due
the
unclear
relationship
between
parameter
uncertainty
network
dynamics.
In
this
work,
we
introduce
PyDyNo
(Python
analysis
biochemical
networks),
a
non-equilibrium
reaction-flux
based
identify
dominant
reaction
paths
within
calibrated
experimental
data.
We
first
show,
in
simplified
apoptosis
execution
model,
that
despite
thousands
vectors
with
equally
good
fits
data,
our
framework
identifies
differences
these
sets
outputs
three
modes,
which
exhibit
varying
sensitivity
perturbations.
then
apply
methodology
JAK2/STAT5
colony-forming
unit-erythroid
(CFU-E)
cells
provide
previously
unrecognized
mechanistic
explanation
for
survival
responses
CFU-E
cell
population
would
have
been
impossible
deduce
traditional
protein-concentration
analyses.
Language: Английский