Mechanical
stiffness
of
liver
organoid
is
a
key
indicator
for
the
progress
hepatic
steatosis.
Probe
indentation
noninvasive
methodology
to
measure
Young's
modulus
(YM);
however,
inhomogeneous
nature
induces
measurement
uncertainty
requiring
large
number
indentations
covering
wide
scanning
area.
Here,
we
demonstrate
that
lipid-stained
fluorescence
imaging-assisted
probe
significantly
reduces
measurements
by
specifying
highly
lipid-induced
Lipid-stained
steatosis
model
shows
broad
distributions
are
spatially
correlated
with
decreased
YM
on
lipid-filled
region
bright
compared
measured
blank
dark
fluorescence.
The
viability
remained
robust
even
after
exposure
an
ambient
condition
up
6
h,
showing
can
be
methods
measurements.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(10), P. e30623 - e30623
Published: May 1, 2024
The
Hertz-Sneddon
elastic
indentation
model
is
widely
adopted
in
the
biomechanical
investigation
of
living
cells
and
other
soft
materials
using
atomic
force
microscopy
despite
explicit
viscoelastic
nature
these
materials.
In
this
work,
we
demonstrate
that
an
exact
analytical
for
power-law
materials,
can
be
interpreted
as
a
time-dependent
Hertz-Sneddon-like
model.
Characterizing
fibroblasts
(L929)
osteoblasts
(OFCOLII)
demonstrates
model's
accuracy.
Our
results
show
difference
between
Young's
modulus
EY
obtained
by
fitting
curves
with
effective
derived
from
less
than
3%,
even
when
are
probed
at
large
forces
where
nonlinear
deformation
effects
become
significant.
We
also
propose
measurement
protocol
involves
probing
samples
different
speeds
forces,
enabling
construction
average
relaxation
function
conveniently
model.Graphical
abstract
International Journal of Applied Mechanics,
Journal Year:
2024,
Volume and Issue:
16(06)
Published: June 29, 2024
Viscoelastic
mechanical
characteristics
of
the
liver
play
a
crucial
role
in
fibrosis
and
cancer
progression.
Despite
evolution
fibrosis,
as
pivotal
step
toward
cirrhosis
hepatoma,
originates
from
molecular
dysfunctions
further
extends
to
cellular
tissue
levels,
current
clinical
assessment
is
still
largely
based
on
level
stiffness.
This
study
introduces
novel
multiscale
viscoelastic
signature-based
machine
learning
model
for
evaluation.
Utilizing
hybrid
hierarchical
theory-microrheology
approach,
we
unveil
universal
two-stage
power-law
rheology
capturing
dynamic
variations
diverse
conditions.
Our
analysis
disparities
through
self-similar
theoretical
framework
enhances
our
understanding
evolution.
Distinct
signatures
observed
across
states
provide
valuable
insights
assessing
fibrotic
individuals
treatment
responses
at
different
spatial
scales.
Furthermore,
propose
series
threshold
values
each
marker
diagnosis
fibrosis.
Notably,
these
new
signatures,
eventually
Light
Gradient
Boosting
Machine
(LightGBM)
diagnostic
that
outperforms
conventional
stiffness-based
classification,
offering
superior
precision
treatment.
research
contributes
growing
knowledge
soft
tissues
holds
promise
innovative
strategies
various
diseases
cancers.
Bioengineering,
Journal Year:
2024,
Volume and Issue:
11(5), P. 436 - 436
Published: April 28, 2024
The
production
of
biomedical
devices
able
to
appropriately
interact
with
the
biological
environment
is
still
a
great
challenge.
Synthetic
materials
are
often
employed,
but
they
fail
replicate
and
functional
properties
native
tissues,
leading
variety
adverse
effects.
Several
commercial
products
based
on
chemically
treated
xenogeneic
tissues:
their
principal
drawback
due
weak
mechanical
stability
low
durability.
Recently,
decellularization
has
been
proposed
bypass
drawbacks
both
synthetic
materials.
Acellular
can
integrate
host
tissues
avoiding/mitigating
any
foreign
body
response,
lack
sufficient
patency
impermeability.
present
paper
investigates
an
innovative
approach
realization
hybrid
that
combine
decellularized
bovine
pericardium
polycarbonate
urethanes.
These
benefit
from
superior
biocompatibility
tissue
polymers.
They
were
assessed
physicochemical,
structural,
mechanical,
points
view;
ability
promote
cell
growth
was
also
investigated.
polymer
appeared
well
adhere
each
other,
two
sides
distinguishable.
maximum
elongation
mainly
affected
by
pericardium,
which
allows
for
lower
than
polymer;
this
latter,
in
turn,
influenced
strength
achieved.
results
confirmed
promising
features
vascular
grafts
be
repopulated
circulating
cells,
thus,
improving
blood
compatibility.
Physics in Medicine and Biology,
Journal Year:
2024,
Volume and Issue:
69(11), P. 115046 - 115046
Published: May 15, 2024
Accurate
diagnosis
and
treatment
assessment
of
liver
fibrosis
face
significant
challenges,
including
inherent
limitations
in
current
techniques
like
sampling
errors
inter-observer
variability.
Addressing
this,
our
study
introduces
a
novel
machine
learning
(ML)
framework,
which
integrates
light
gradient
boosting
multivariate
imputation
by
chained
equations
to
enhance
status
using
biomechanical
markers.
Building
upon
previously
established
multiscale
mechanical
characteristics
fibrotic
treated
livers,
this
framework
employs
Gaussian
Bayesian
optimization
for
post-imputation,
significantly
improving
classification
performance.
Our
findings
indicate
marked
increase
the
precision
provide
novel,
quantitative
approach
assessing
treatment.
This
innovative
combination
markers
with
advanced
ML
algorithms
represents
transformative
step
disease
diagnostics
evaluation,
potential
implications
other
areas
medical
diagnostics.
Mechanical
stiffness
of
liver
organoid
is
a
key
indicator
for
the
progress
hepatic
steatosis.
Probe
indentation
noninvasive
methodology
to
measure
Young's
modulus
(YM);
however,
inhomogeneous
nature
induces
measurement
uncertainty
requiring
large
number
indentations
covering
wide
scanning
area.
Here,
we
demonstrate
that
lipid-stained
fluorescence
imaging-assisted
probe
significantly
reduces
measurements
by
specifying
highly
lipid-induced
Lipid-stained
steatosis
model
shows
broad
distributions
are
spatially
correlated
with
decreased
YM
on
lipid-filled
region
bright
compared
measured
blank
dark
fluorescence.
The
viability
remained
robust
even
after
exposure
an
ambient
condition
up
6
h,
showing
can
be
methods
measurements.
