Journal of Orthopaedic Surgery and Research,
Год журнала:
2024,
Номер
19(1)
Опубликована: Дек. 18, 2024
Osteoarthritis
(OA)
is
a
common
cause
of
disability
among
the
elderly,
profoundly
affecting
quality
life.
This
study
aims
to
leverage
bioinformatics
and
machine
learning
develop
an
artificial
neural
network
(ANN)
model
for
diagnosing
OA,
providing
new
avenues
early
diagnosis
treatment.
From
Gene
Expression
Omnibus
(GEO)
database,
we
first
obtained
OA
synovial
tissue
microarray
datasets.
Differentially
expressed
genes
(DEGs)
associated
with
were
identified
through
utilization
Limma
package
weighted
gene
co-expression
analysis
(WGCNA).
Subsequently,
protein-protein
interaction
(PPI)
employed
identify
most
relevant
potential
feature
ANN
diagnostic
receiver
operating
characteristic
(ROC)
curve
constructed
evaluate
performance
model.
In
addition,
expression
levels
verified
using
real-time
quantitative
polymerase
chain
reaction
(qRT-PCR).
Finally,
immune
cell
infiltration
was
performed
CIBERSORT
algorithm
explore
correlation
between
cells.
The
WGCNA
total
72
DEGs
related
which
12
up-regulated
60
down-regulated.
Then,
PPI
21
hub
genes,
three
algorithms
finally
screened
four
(BTG2,
CALML4,
DUSP5,
GADD45B).
based
on
these
genes.
AUC
training
set
0.942,
validation
0.850.
qRT-PCR
results
demonstrated
significant
downregulation
BTG2,
GADD45
mRNA
in
samples
compared
normal
samples,
while
CALML4
level
exhibited
upregulation.
Immune
revealed
B
cells
memory,
T
gamma
delta,
naive,
Plasma
cells,
CD4
memory
resting,
NK
abnormal
activated
may
be
progression
OA.
GADD45B
as
good
developed,
perspective
personalized
treatment
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 14, 2024
Abstract
Knee
osteoarthritis
(OA)
is
the
most
prevalent
degenerative
joint
disease.
When
morphological
changes
become
apparent
on
radiographs,
no
approved
treatment
can
reverse
disease
process.
Early
diagnosis
an
unmet
need
demanding
new
molecular
and
imaging
biomarkers
to
define
OA
from
earliest
stages.
In
this
context,
we
focus
collagen,
basic
building
block
of
all
tissues,
interrogate
how
development
affects
collagen’s
folding,
a
previously
underexplored
area.
Here,
through
whole-joint
mapping
with
peptide
that
recognizes
unfolded
collagen
molecules,
report
discovery
denaturation
in
cartilage
before
proteolysis
major
histopathological
degeneration
animal
models
patients.
Mechanistically,
reveal
such
defects
be
driven
by
mechanical
overloading
without
collagenase
degradation
are
intimately
associated
glycosaminoglycan
loss.
We
showcase
advantages
using
as
early-stage
hallmark
for
vivo
therapeutic
evaluation
magnetic
resonance
(MRI)
subtle
challenging
detect
conventional
morphology-based
MRI.
These
results
highlight
biomolecular
integrity
crucial
dimension
characterizing
foundation
diagnosing
beyond.
Cancers,
Год журнала:
2024,
Номер
16(16), С. 2872 - 2872
Опубликована: Авг. 18, 2024
This
study
aims
to
evaluate
the
repeatability
of
radiomics
and
dosiomics
features
via
image
perturbation
patients
with
cervical
cancer.
A
total
304
cancer
planning
CT
images
dose
maps
were
retrospectively
included.
Random
translation,
rotation,
contour
randomization
applied
before
feature
extraction.
The
was
assessed
using
intra-class
correlation
coefficient
(ICC).
Pearson
(r)
adopted
quantify
between
characteristics
repeatability.
In
general,
lower
compared
features,
especially
after
small-sigma
Laplacian-of-Gaussian
(LoG)
wavelet
filtering.
More
repeatable
(ICC
>
0.9)
observed
when
extracted
from
original,
Large-sigma
LoG
filtered,
LLL-/LLH-wavelet
filtered
images.
Positive
correlations
found
entropy
high-repeatable
number
in
both
(r
=
0.56,
0.68).
Radiomics
showed
higher
features.
These
findings
highlight
potential
for
robust
quantitative
imaging
analysis
patients,
while
suggesting
need
further
refinement
approaches
enhance
their
Purpose
This
study
aimed
to
comprehensively
analyze
the
landscape
of
osteoarthritis
(OA)
biomarker
research
through
citation
analysis
top-cited
articles,
identifying
trends
and
gaps
in
this
field.
Methods
The
Web
Science
Core
Collection
was
utilized
retrieve
top
50
cited
articles
on
OA
biomarkers.
Data
extraction
included
publication
characteristics,
metrics,
categorization.
Statistical
analyses
were
conducted
discern
correlations
assess
significance.
Results
spanned
years
1999
2020,
collectively
4849
accumulating
a
total
6177
citations,
resulting
an
average
123.5
citations
per
document.
Citations
article
varied
between
78
359,
with
density
ranging
from
3.9
23.93.
Analysis
revealed
comparable
impact
recent
older
publications.
Predominant
cartilage-related
blood-based
biomarkers,
while
inflammation-related,
radiomics,
multi-omics
emerged
as
potential
future
directions.
In
BIPEDS
classification,
identified
biomarkers
evaluating
intervention
efficacy
safety.
Conclusion
Despite
significant
advancements,
there
is
no
universally
acknowledged
for
OA.
Addressing
exploration
crucial
enhancing
management
strategies.
provides
insights
into
prevailing
directions
guiding
investigations
therapeutic
development.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 26, 2024
AbstractBackground:
Osteoarthritis
(OA)
is
a
common
cause
of
disability
among
the
elderly,
profoundly
affecting
quality
life.
This
study
aims
to
leverage
bioinformatics
and
machine
learning
develop
an
artificial
neural
network
(ANN)
model
for
diagnosing
OA,
providing
new
avenues
early
diagnosis
treatment.
Methods:From
Gene
Expression
Omnibus
(GEO)
database,
we
first
obtained
OA
synovial
tissue
microarray
datasets.
Differentially
expressed
genes
(DEGs)
associated
with
were
identified
through
utilization
Limma
package
weighted
gene
co-expression
analysis
(WGCNA).
Subsequently,
protein-protein
interaction
(PPI)
employed
identify
most
relevant
potential
signature
OA，and
ANN
diagnostic
receiver
operating
characteristic
(ROC)
curve
constructed
evaluate
performance
model.
Finally,
immune
cell
infiltration
was
performed
using
CIBERSORT
algorithm
explore
correlation
between
cells.
Results:
The
WGCNA
total
72
DEGs
related
OA，of
which
12
up-regulated
60
down-regulated.
Then,
PPI
21
hub
genes,
three
algorithms
finally
screened
four
feature
(BTG2,
CALML4,
DUSP5,
GADD45B).
The
based
on
these
genes.
AUC
training
set
0.942,
validation
0.850.
Immune
revealed
B
cells
memory,
T
gamma
delta,
naive,
Plasma
cells,
CD4
memory
resting,
NK
abnormal
activated
may
be
progression
OA.
Conclusions:
In
this
study,
BTG2,
GADD45B
as
excellent
has
been
developed.
Therefore,
established
in
research
can
serve
reliable
reference
provide
novel
perspective
pathogenesis
Journal of Orthopaedic Surgery and Research,
Год журнала:
2024,
Номер
19(1)
Опубликована: Дек. 18, 2024
Osteoarthritis
(OA)
is
a
common
cause
of
disability
among
the
elderly,
profoundly
affecting
quality
life.
This
study
aims
to
leverage
bioinformatics
and
machine
learning
develop
an
artificial
neural
network
(ANN)
model
for
diagnosing
OA,
providing
new
avenues
early
diagnosis
treatment.
From
Gene
Expression
Omnibus
(GEO)
database,
we
first
obtained
OA
synovial
tissue
microarray
datasets.
Differentially
expressed
genes
(DEGs)
associated
with
were
identified
through
utilization
Limma
package
weighted
gene
co-expression
analysis
(WGCNA).
Subsequently,
protein-protein
interaction
(PPI)
employed
identify
most
relevant
potential
feature
ANN
diagnostic
receiver
operating
characteristic
(ROC)
curve
constructed
evaluate
performance
model.
In
addition,
expression
levels
verified
using
real-time
quantitative
polymerase
chain
reaction
(qRT-PCR).
Finally,
immune
cell
infiltration
was
performed
CIBERSORT
algorithm
explore
correlation
between
cells.
The
WGCNA
total
72
DEGs
related
which
12
up-regulated
60
down-regulated.
Then,
PPI
21
hub
genes,
three
algorithms
finally
screened
four
(BTG2,
CALML4,
DUSP5,
GADD45B).
based
on
these
genes.
AUC
training
set
0.942,
validation
0.850.
qRT-PCR
results
demonstrated
significant
downregulation
BTG2,
GADD45
mRNA
in
samples
compared
normal
samples,
while
CALML4
level
exhibited
upregulation.
Immune
revealed
B
cells
memory,
T
gamma
delta,
naive,
Plasma
cells,
CD4
memory
resting,
NK
abnormal
activated
may
be
progression
OA.
GADD45B
as
good
developed,
perspective
personalized
treatment
