Physiological network approach to prognosis in cirrhosis: A shifting paradigm
Physiological Reports,
Год журнала:
2024,
Номер
12(13)
Опубликована: Июль 1, 2024
Abstract
Decompensated
liver
disease
is
complicated
by
multi‐organ
failure
and
poor
prognosis.
The
prognosis
of
patients
with
often
dictates
clinical
management.
Current
prognostic
models
have
focused
on
biomarkers
considered
as
individual
isolated
units.
Network
physiology
assesses
the
interactions
among
multiple
physiological
systems
in
health
irrespective
anatomical
connectivity
defines
influence
or
dependence
one
organ
system
another.
Indeed,
recent
applications
network
mapping
methods
to
patient
data
shown
improved
prediction
response
therapy
cirrhosis.
Initially,
different
physical
markers
been
used
assess
coupling
cirrhosis
including
heart
rate
variability,
turbulence,
skin
temperature
variability
measures.
Further,
parenclitic
analysis
was
recently
applied
showing
that
impaired
decompensated
can
predict
mortality
independent
current
while
also
providing
valuable
insights
into
associated
pathological
pathways.
Moreover,
predicts
intravenous
albumin
hospitalized
Thus,
this
review
highlights
importance
evaluating
through
physiologic
prism.
It
emphasizes
limitations
values
techniques
Язык: Английский
What is personalized lung poromechanical modeling and how can it improve the understanding and management of fibrotic interstitial lung diseases?
Expert Review of Respiratory Medicine,
Год журнала:
2025,
Номер
unknown, С. 1 - 4
Опубликована: Фев. 7, 2025
Keywords:
Computed
tomographyDigital
twinExtracellular
MatrixInterstitial
lung
diseasesIdiopathic
Pulmonary
FibrosisMathematical
modelingMechanotransduction
Язык: Английский
The Fibrotic Phenotype of Human Precision-Cut Lung Slices Is Maintained after Cryopreservation
Toxics,
Год журнала:
2024,
Номер
12(9), С. 637 - 637
Опубликована: Авг. 30, 2024
Human
precision-cut
lung
slices
(hPCLS)
prepared
from
fibrotic
lungs
recapitulate
the
pathophysiological
hallmarks
of
fibrosis.
These
hallmark
features
can
also
be
induced
by
treating
non-fibrotic
hPCLS
with
a
cocktail
(FC).
As
result,
and
fibrosis-induced
are
rapidly
emerging
as
preferred
models
for
disease
modeling
drug
discovery.
However,
current
limited
tissue
viability
in
culture,
they
usually
only
viable
one
week
after
harvesting.
Here,
we
demonstrate
that
cryopreserved,
stored
months,
then
thawed
on
demand
without
loss
or
protein
content
14
days
post-thawing.
Cryopreservation
preserves
pro-fibrotic
potential
hPCLS.
Specifically,
when
treated
an
FC,
observed
significant
cytokine
secretion
elevated
stiffness.
changes
were
inhibited
small-molecule
tyrosine
kinase
inhibitor,
Nintedanib.
Taken
together,
our
work
indicates
feasible
solution
to
prolong
pre-clinical
utility
is
cryopreservation.
We
anticipate
cryopreserved
will
serve
advantageous
predictive
model
evaluation
pathways
during
acute
chronic
toxicity
testing.
Язык: Английский
Digital twins for chronic lung diseases
European Respiratory Review,
Год журнала:
2024,
Номер
33(174), С. 240159 - 240159
Опубликована: Окт. 1, 2024
Digital
twins
have
recently
emerged
in
healthcare.
They
combine
advances
cyber–physical
systems,
modelling
and
computation
techniques,
enable
a
bidirectional
flow
of
information
between
the
physical
virtual
entities.
In
respiratory
medicine,
progress
connected
devices
artificial
intelligence
make
it
technically
possible
to
obtain
digital
that
allow
real-time
visualisation
patient's
health.
Advances
system
also
development
could
be
used
predict
effectiveness
different
therapeutic
approaches
for
patient.
For
researchers,
lead
better
understanding
gene–environment–time
interactions
involved
chronic
diseases.
clinicians
patients,
they
facilitate
personalised
timely
by
enabling
adaptations
specific
each
patient
early
detection
disease
progression.
The
objective
this
review
is
reader
explore
concept
twins,
their
feasibility
potential
benefits
challenges
implementation.
Язык: Английский
Multiscale computational model predicts how environmental changes and treatments affect microvascular remodeling in fibrotic disease
PNAS Nexus,
Год журнала:
2024,
Номер
4(1)
Опубликована: Дек. 7, 2024
Abstract
Investigating
the
molecular,
cellular,
and
tissue-level
changes
caused
by
disease,
effects
of
pharmacological
treatments
across
these
biological
scales,
necessitates
use
multiscale
computational
modeling
in
combination
with
experimentation.
Many
diseases
dynamically
alter
tissue
microenvironment
ways
that
trigger
microvascular
network
remodeling,
which
leads
to
expansion
or
regression
microvessel
networks.
When
microvessels
undergo
remodeling
idiopathic
pulmonary
fibrosis
(IPF),
functional
gas
exchange
is
impaired
lung
function
declines.
We
integrated
a
model
independent
experiments
investigate
how
combinations
biomechanical
biochemical
cues
IPF
cell
fate
decisions
leading
remodeling.
Our
predicted
extracellular
matrix
(ECM)
stiffening
reduced
area,
was
accompanied
physical
uncoupling
endothelial
(EC)
pericytes,
cells
comprise
microvessels.
Nintedanib,
an
Food
Drug
Administration-approved
drug
for
treating
IPF,
further
potentiate
decreasing
percentage
quiescent
pericytes
while
increasing
undergoing
pericyte-myofibroblast
transition
high
ECM
stiffnesses.
Importantly,
suggested
YAP/TAZ
inhibition
may
overcome
deleterious
nintedanib
promoting
EC-pericyte
coupling
maintaining
homeostasis.
Overall,
our
experimental
can
predict
explain
affect
during
disease
response
treatments.
Язык: Английский