Drug Development Research,
Journal Year:
2024,
Volume and Issue:
85(4)
Published: June 1, 2024
Abstract
Breast
cancer
(BC)
is
a
common
for
women.
This
study
aims
to
construct
prognostic
risk
model
of
BC
and
identify
biomarkers
through
machine
learning
approaches,
clarify
the
mechanism
by
which
linalool
exerts
tumor‐suppressive
function.
Three
mRNA
microarray/RNA
sequencing
data
sets
(GSE25055,
GSE103091,
TCGA‐BRCA)
were
obtained
from
Gene
Expression
Omnibus
database
The
Cancer
Genome
Atlas
database,
genes
univariate
COX
analysis.
Multiple
methods
used
screen
core
models.
enrichment
analysis
crucial
was
analyzed
using
DAVID
database.
UALCAN,
human
protein
atlas,
geneMANIA,
LinkedOmics
databases
analyze
gene
expression
co‐expressed
genes.
Molecular
docking
molecular
dynamics
simulation
applied
verify
binding
affinity
between
phosphoglycerate
kinase
1
(PGK1).
Cell
counting
kit
8
(CCK‐8,
Edu,
transwell,
flow
cytometry,
Western
blot
assay
cell
activity,
apoptosis,
cycle
expression.
Eight
bioinformatics
learning,
models
constructed.
could
well
predict
prognosis
patients,
score
be
as
an
independent
factor
BC.
Overall
survival
(OS)
immune
infiltration
characteristics
distinct
high
low
groups.
PGK1
highly
expressed
in
OS
patients
with
shorter.
related
PPAR
signaling
pathway.
Linalool
had
good
inhibit
viability,
proliferation,
migration,
invasion
cells,
promote
induce
G0/G1
arrest.
In
addition,
can
PPARγ
Machine
promising
exploration
new
drug
targets
BC,
effects
inhibiting
activating
Journal of Translational Medicine,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: April 30, 2024
Abstract
Upon
a
diagnosis,
the
clinical
team
faces
two
main
questions:
what
treatment,
and
at
dose?
Clinical
trials'
results
provide
basis
for
guidance
support
official
protocols
that
clinicians
use
to
base
their
decisions.
However,
individuals
do
not
consistently
demonstrate
reported
response
from
relevant
trials.
The
decision
complexity
increases
with
combination
treatments
where
drugs
administered
together
can
interact
each
other,
which
is
often
case.
Additionally,
individual's
treatment
varies
changes
in
condition.
In
practice,
drug
dose
selection
depend
significantly
on
medical
protocol
team's
experience.
As
such,
are
inherently
varied
suboptimal.
Big
data
Artificial
Intelligence
(AI)
approaches
have
emerged
as
excellent
decision-making
tools,
but
multiple
challenges
limit
application.
AI
rapidly
evolving
dynamic
field
potential
revolutionize
various
aspects
of
human
life.
has
become
increasingly
crucial
discovery
development.
enhances
across
different
disciplines,
such
medicinal
chemistry,
molecular
cell
biology,
pharmacology,
pathology,
practice.
addition
these,
contributes
patient
population
stratification.
need
healthcare
evident
it
aids
enhancing
accuracy
ensuring
quality
care
necessary
effective
treatment.
pivotal
improving
success
rates
increasing
significance
discovery,
development,
trials
underscored
by
many
scientific
publications.
Despite
numerous
advantages
AI,
advancing
Precision
Medicine
(PM)
remote
monitoring,
unlocking
its
full
requires
addressing
fundamental
concerns.
These
concerns
include
quality,
lack
well-annotated
large
datasets,
privacy
safety
issues,
biases
algorithms,
legal
ethical
challenges,
obstacles
related
cost
implementation.
Nevertheless,
integrating
medicine
will
improve
diagnostic
outcomes,
contribute
more
efficient
delivery,
reduce
costs,
facilitate
better
experiences,
making
sustainable.
This
article
reviews
applications
development
sustainable,
highlights
limitations
applying
AI.
Journal of Translational Medicine,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: Feb. 5, 2024
Abstract
Advancements
in
data
acquisition
and
computational
methods
are
generating
a
large
amount
of
heterogeneous
biomedical
from
diagnostic
domains
such
as
clinical
imaging,
pathology,
next-generation
sequencing
(NGS),
which
help
characterize
individual
differences
patients.
However,
this
information
needs
to
be
available
suitable
promote
support
scientific
research
technological
development,
supporting
the
effective
adoption
precision
medicine
approach
practice.
Digital
biobanks
can
catalyze
process,
facilitating
sharing
curated
standardized
imaging
data,
clinical,
pathological
molecular
crucial
enable
development
comprehensive
personalized
data-driven
disease
management
fostering
predictive
models.
This
work
aims
frame
perspective,
first
by
evaluating
state
standardization
then
identifying
challenges
proposing
possible
solution
towards
an
integrative
that
guarantee
suitability
shared
through
digital
biobank.
Our
analysis
art
shows
presence
use
reference
standards
and,
generally,
repositories
for
each
specific
domain.
Despite
this,
integration
reproducibility
numerical
descriptors
generated
domain,
e.g.
radiomic,
pathomic
-omic
features,
is
still
open
challenge.
Based
on
cases
scenarios,
model,
based
JSON
format,
proposed
address
problem.
Ultimately,
how,
with
promotion
efforts,
biobank
model
become
enabling
technology
study
diseases
technologies
at
service
medicine.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(5), P. e27465 - e27465
Published: March 1, 2024
BackgroundLactylation
is
a
significant
post-translational
modification
bridging
the
gap
between
cancer
epigenetics
and
metabolic
reprogramming.
However,
association
lactylation
prognosis,
tumor
microenvironment
(TME),
response
to
drug
therapy
in
various
cancers
remains
unclear.MethodsFirst,
expression,
prognostic
value,
genetic
epigenetic
alterations
of
genes
were
systematically
explored
pan-cancer
manner.
Lactylation
scores
derived
for
each
using
single-sample
gene
set
enrichment
analysis
(ssGSEA)
algorithm.
The
correlation
with
clinical
features,
TME
was
assessed
by
integrating
multiple
computational
methods.
In
addition,
GSE135222
data
used
assess
efficacy
predicting
immunotherapy
outcomes.
expression
breast
gliomas
verified
RNA-sequencing.ResultsLactylation
significantly
upregulated
most
types.
CREBBP
EP300
exhibited
high
mutation
rates
analysis.
impact
score
varied
type,
protective
factor
KIRC,
ACC,
READ,
LGG,
UVM,
risk
CHOL,
DLBC,
LAML,
OV.
associated
cold
TME.
infiltration
levels
CD8+
T,
γδT,
natural
killer
T
cell
(NKT),
NK
cells
lower
tumors
higher
scores.
Finally,
worse
patients
than
other
types.ConclusionLactylation
are
involved
malignancy
formation.
serves
as
promising
biomarker
patient
prognosis
efficacy.
BioTech,
Journal Year:
2024,
Volume and Issue:
13(3), P. 34 - 34
Published: Sept. 2, 2024
Biobanking
plays
a
pivotal
role
in
biomedical
research
by
providing
standardized
processing,
precise
storing,
and
management
of
biological
sample
collections
along
with
the
associated
data.
Effective
data
is
prerequisite
to
ensure
integrity,
quality,
accessibility
these
resources.
This
review
provides
current
landscape
biobanking,
discussing
key
challenges,
existing
strategies,
potential
future
directions.
We
explore
multiple
aspects
management,
including
collection,
storage,
curation,
sharing,
ethical
considerations.
By
examining
evolving
technologies
methodologies
we
aim
provide
insights
into
addressing
complexities
maximizing
utility
biobank
for
clinical
applications.
Journal of Translational Medicine,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: Jan. 21, 2025
Mitochondria
are
crucial
to
the
function
of
renal
tubular
cells,
and
their
dynamic
perturbation
in
many
aspects
is
an
important
mechanism
diabetic
kidney
disease
(DKD).
Single-nucleus
RNA
sequencing
(snRNA-seq)
technology
a
high-throughput
analysis
technique
for
at
level
single
cell
nucleus.
Here,
our
DKD
mouse
single-cell
conveys
more
comprehensive
mitochondrial
profile,
which
helps
us
further
understand
therapeutic
response
this
unique
organelle
family
drugs.
After
high
fat
diet
(HFD),
mice
were
intraperitoneally
injected
with
streptozotocin
(STZ)
induce
DKD,
then
divided
into
three
subsets:
CON
(healthy)
subset,
(vehicle)
LST
(losartan;
25
mg/kg/day)
subset.
Divide
HK-2
LG
(low
glucose;
5
mM)
HG
(high
30
+
1
µ
M)
subsets.
snRNA-seq
was
performed
on
tissues
subset
mice.
To
reveal
effects
losartan
gene
pathway
changes
mitochondria,
Gene
Ontology
(GO)
enrichment
GSEA/GSVA
scoring
analyze
specific
proximal
(PT)
mitochondria
treatment,
including
key
events
homeostasis
such
as
morphology,
dynamics,
mitophagy,
autophagic
flux,
respiratory
chain,
apoptosis,
ROS
generation.
Preliminary
validation
through
vitro
vivo
experiments,
observation
morphology
dynamics
using
probes
Mitotracker
Red,
evaluation
effect
electron
microscopy,
laser
confocal
immunofluorescence,
Western
blotting.
Detection
flux
cells
by
transfecting
Ad-mCherry-GFP-LC3B
dual
fluorescence
labeled
adenovirus.
Various
fluorescent
energy
detector
used
detect
ROS,
respiration
mitochondrion.
Through
atlas
kidneys,
it
found
that
treatment
significantly
increased
percentage
PT
cells.
differentially
expressed
genes
showed
autophagy
mitochondrion
pathway.
Further
GSEA
GSVA
revealed
mitophagy
other
events,
production,
membrane
potential,
adenosine
triphosphate
(ATP)
synthesis,
involved
protective
thereby
improving
homeostasis.
Consistent
results
also
obtained
cellular
experiments.
In
addition,
we
highlighted
subpopulation
phenotype
data,
preliminarily
validated
co-localization
expression
Pink1
Gclc
specimens
patients
treated
losartan.
Our
research
suggests
scRNA-seq
can
reflect
multifaceted
landscape
after
drug
these
findings
may
provide
new
targets
therapy
level.
Pharmaceuticals,
Journal Year:
2023,
Volume and Issue:
17(1), P. 12 - 12
Published: Dec. 21, 2023
Repurposing
drugs
by
uncovering
new
indications
for
approved
accelerates
the
process
of
establishing
treatments
and
reduces
high
costs
drug
discovery
development.
Metal
complexes
with
clinically
allow
further
opportunities
in
cancer
therapy—many
vanadium
compounds
have
previously
shown
antitumor
effects,
which
makes
a
suitable
metal
to
complex
therapeutic
drugs,
potentially
improving
their
efficacy
treatment.
In
this
review,
covering
last
25
years
research
field,
we
identified
non-oncology-approved
as
ligands
obtain
different
complexes.
Metformin-decavanadate,
vanadium-bisphosphonates,
vanadyl(IV)
non-steroidal
anti-inflammatory
cetirizine
imidazole-based
oxidovanadium(IV)
complexes,
each
has
parent
known
medicinal
properties
indications,
all
showed
potential
novel
anticancer
treatments.
Nevertheless,
precise
mechanisms
action
these
against
are
still
not
fully
understood.
Journal of Translational Medicine,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: Jan. 8, 2024
Abstract
Background
Aberrant
intracellular
or
intercellular
signaling
pathways
are
important
mechanisms
that
contribute
to
the
development
and
progression
of
cancer.
However,
communication
associated
with
ccRCC
is
currently
unknown.
The
purpose
this
study
was
examine
aberrant
tumor
cell-to-cell
signals
during
ccRCC.
Methods
We
conducted
an
analysis
on
scRNA-seq
data
6
normal
kidney
tissues.
This
included
sub
clustering,
CNV
analysis,
single-cell
trajectory
cell–cell
transcription
factor
analysis.
Moreover,
we
performed
validation
tests
clinical
samples
using
multiplex
immunofluorescence.
Results
identified
eleven
aberrantly
activated
in
clusters
from
samples.
Among
these,
two
majors
molecules,
MIF
SPP1,
were
mainly
secreted
by
a
subpopulation
cancer
stem
cells.
demonstrated
high
expression
levels
cell
markers
POU5F1
CD44
(POU5F1
hi
E.T),
regulating
SPP1.
Further
research
SPP1
binds
integrin
receptors
surface
target
cells
promotes
activating
potential
such
as
ILK
JAK/STAT.
Conclusion
Aberrantly
promote
E.T)
malignant
transformation
phenotype
releasing
molecules
interacting
other
