Annals of Translational Medicine,
Год журнала:
2024,
Номер
12(5), С. 88 - 88
Опубликована: Окт. 1, 2024
Osteoarthritis
(OA)
is
a
major
source
of
pain
and
disability
worldwide.
Understanding
disease
progression
evolving,
but
OA
increasingly
thought
to
be
multifactorial
in
which
the
innate
immune
system
plays
role
regulating
perpetuating
low-grade
inflammation.
The
aim
this
study
was
enhance
our
understanding
immunopathogenesis
through
characterization
transcriptomic
responses
joints,
with
goal
facilitate
development
targeted
therapies.
Cell Proliferation,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 26, 2025
ABSTRACT
Osteoarthritis
(OA)
is
the
most
prevalent
degenerative
joint
disease
worldwide,
imposing
a
substantial
global
burden.
However,
its
pathogenesis
remains
incompletely
understood,
and
effective
treatment
strategies
are
still
lacking.
Organoid
technology,
in
which
stem
cells
or
progenitor
self‐organise
into
miniature
tissue
structures
under
three‐dimensional
(3D)
culture
conditions,
provides
promising
vitro
platform
for
simulating
pathological
microenvironment
of
OA.
This
approach
can
be
employed
to
investigate
mechanisms,
carry
out
high‐throughput
drug
screening
facilitate
personalised
therapies.
review
summarises
structure,
OA
manifestations,
thereby
establishing
context
application
organoid
technology.
It
then
examines
components
arthrosis
system,
specifically
addressing
cartilage,
subchondral
bone,
synovium,
skeletal
muscle
ligament
organoids.
Furthermore,
it
details
various
constructing
organoids,
including
considerations
cell
selection,
classification
fabrication
techniques.
Notably,
this
introduces
concept
intelligent
manufacturing
organoids
by
incorporating
emerging
engineering
technologies
such
as
artificial
intelligence
(AI)
process,
forming
an
innovative
software
hardware
cluster.
Lastly,
discusses
challenges
currently
facing
highlights
future
directions
rapidly
evolving
field.
By
offering
comprehensive
overview
state‐of‐the‐art
methodologies
challenges,
anticipates
that
intelligent,
automated
will
expedite
fundamental
research,
discovery
translational
applications
orthopaedic
Arthritis Research & Therapy,
Год журнала:
2025,
Номер
27(1)
Опубликована: Май 3, 2025
Osteoarthritis
(OA)
is
a
complex
disorder
driven
by
the
combination
of
environmental
and
genetic
factors.
Given
its
high
global
prevalence
heterogeneity,
developing
effective
personalized
treatment
methods
crucial.
This
requires
identifying
new
disease
mechanisms,
drug
targets,
biomarkers.
Various
omics
approaches
have
been
applied
to
identify
OA-related
genes,
pathways,
biomarkers,
including
genomics,
epigenomics,
transcriptomics,
proteomics,
metabolomics.
These
studies
generated
vast
datasets
that
are
shaping
field
OA
research.
The
emergence
high-resolution
methodologies,
such
as
single-cell
spatial
techniques,
further
enhances
our
ability
dissect
molecular
complexities
within
microenvironment.
By
integrating
these
multi-layered
datasets,
researchers
can
uncover
central
signaling
hubs
ultimately
facilitating
development
targeted
therapies
precision
medicine
for
treatment.
Connective Tissue Research,
Год журнала:
2025,
Номер
unknown, С. 1 - 12
Опубликована: Май 10, 2025
This
review
highlights
the
transformative
impact
of
spatial
transcriptomics
on
orthopedic
research,
focusing
its
application
in
deciphering
intricate
gene
expression
patterns
within
musculoskeletal
tissues.
The
paper
reviews
literature
for
transcriptomic
methods,
specifically
10X
Visium,
Xenium,
seqFISH+,
MERFISH,
NanoString
GeoMx
DSP,
used
tissues
(cartilage,
joints,
bone,
tendon,
ligament,
and
synovium).
Searches
identified
29
published
manuscripts
reporting
data
cartilage,
synovium,
intervertebral
disc.
Most
publications
are
from
tendon
synovium.
Visium
has
been
22
papers
identified.
Spatial
to
identify
novel
cell
populations
signaling
pathways
that
regulate
development
disease.
Imaging-based
methods
may
be
better
hypothesis
testing
as
they
generally
have
subcellular
resolution
but
sequence
fewer
genes.
Sequencing
untargeted,
shotgun
approaches
can
generate
useful
hypotheses
unimpaired
tissue
sections.
could
become
clinical
diagnostics
precision
medicine
approaches.
Diagnostics,
Год журнала:
2025,
Номер
15(11), С. 1418 - 1418
Опубликована: Июнь 3, 2025
Degenerative
joint
disease
remains
a
leading
cause
of
global
disability,
with
early
diagnosis
posing
significant
clinical
challenge
due
to
its
gradual
onset
and
symptom
overlap
other
musculoskeletal
disorders.
This
review
focuses
on
emerging
diagnostic
strategies
by
synthesizing
evidence
specifically
from
studies
that
integrate
biochemical
biomarkers,
advanced
imaging
techniques,
machine
learning
models
relevant
osteoarthritis.
We
evaluate
the
utility
cartilage
degradation
markers
(e.g.,
CTX-II,
COMP),
inflammatory
cytokines
IL-1β,
TNF-α),
synovial
fluid
microRNA
profiles,
how
they
correlate
quantitative
readouts
T2-mapping
MRI,
ultrasound
elastography,
dual-energy
CT.
Furthermore,
we
highlight
recent
developments
in
radiomics
AI-driven
image
interpretation
assess
space
narrowing,
osteophyte
formation,
subchondral
bone
changes
high
fidelity.
The
integration
these
datasets
using
multimodal
approaches
offers
novel
phenotypes
stratify
patients
stage
risk
progression.
Finally,
explore
implementation
tools
point-of-care
diagnostics,
including
portable
devices
rapid
biomarker
assays,
particularly
aging
underserved
populations.
By
presenting
unified
pipeline,
this
article
advances
future
detection
personalized
monitoring
degeneration.
ABSTRACT
Organoids
are
tissue
analogues
formed
through
in
vitro
three‐dimensional
culture
of
stem
cells,
possessing
specific
spatial
structures.
have
become
integral
to
various
biomedical
fields,
including
disease
pathogenesis,
model
construction,
regenerative
and
precision
medicine,
drug
screening,
organ
development,
toxicology,
pathological
analysis.
However,
the
diversity
organoid
types
variations
their
production
processes
led
inconsistencies
application
for
assessment
To
date,
no
comprehensive
standards
or
guidelines
evaluating
organoids
been
established.
Artificial
intelligence
(AI)
technology
is
extensively
employed
image
analysis,
data
processing,
molecular
structure
prediction,
demonstrating
benefits
organoids.
This
review
will
examine
AI
across
aspects
assessment,
such
as
omics,
histology,
morphology,
functional
properties,
with
goal
offering
new
perspectives
on
assessment.
Heliyon,
Год журнала:
2024,
Номер
10(15), С. e35263 - e35263
Опубликована: Июль 31, 2024
Osteoarthritis
(OA)
is
the
most
common
form
of
joint
diseases,
with
hallmark
cartilage
degeneration.
Recent
studies
have
shown
that
pathogenesis
OA
associated
chondrocyte
necroptosis.
