Theranostics,
Год журнала:
2024,
Номер
14(18), С. 7219 - 7240
Опубликована: Окт. 28, 2024
Rationale:
Sunitinib
is
a
small-molecule
tyrosine
kinase
inhibitor
associated
with
the
side-effect
of
liver
injury.
The
impaired
cell
type
in
and
hepatotoxicity
mechanisms
still
unclear.
Methods:
Spatial
metabolomics,
transmission
electron
microscopy,
immunofluorescence
co-staining,
isolation
bile
duct
cells
sinusoidal
endothelial
(LSECs)
were
used
to
evaluate
zonated
sunitinib.
Farnesoid
X
receptor
(FXR)
conditional
knockout
mice,
metagenomics
analysis,
bacteria
clearance,
bacterial
culture,
Parabacteroides
distasonis
3-oxolithocholic
acid
supplementation
Results:
Phenotype
analysis
found
that
hepatic
autophagy,
apoptosis,
mitochondrial
injury
observed
vivo
or
vitro
after
sunitinib
treatment.
By
using
spatial
metabolomics
LSECs,
drug
toxicity
was
around
portal
vein.
Hepatocytes,
cells,
LSECs
damaged
FXR
inhibition
gut
microbiota
depletion
aggravated
sunitinib-induced
For
diurnal
variation,
enhanced
at
night
compared
day,
participated
circadian
rhythmic
induced
by
Conclusions:
Our
data
suggested
activation
may
be
improve
hepatotoxicity.
Abstract
Network
pharmacology
plays
a
pivotal
role
in
systems
biology,
bridging
the
gap
between
traditional
Chinese
medicine
(TCM)
theory
and
contemporary
pharmacological
research.
enables
researchers
to
construct
multilayered
networks
that
systematically
elucidate
TCM’s
multi-component,
multi-target
mechanisms
of
action.
This
review
summarizes
key
databases
commonly
used
network
pharmacology,
including
those
focused
on
herbs,
components,
diseases,
dedicated
platforms
for
analysis.
Additionally,
we
explore
growing
use
TCM,
citing
literature
from
Web
Science,
PubMed,
CNKI
over
past
two
decades
with
keywords
like
“network
pharmacology”,
“TCM
“herb
pharmacology”.
The
application
TCM
is
widespread,
covering
areas
such
as
identifying
material
basis
efficacy,
unraveling
action,
evaluating
toxicity,
safety,
novel
drug
development.
However,
challenges
remain,
lack
standardized
data
collection
across
insufficient
consideration
processed
herbs
Questions
also
persist
regarding
reliability
study
outcomes.
aims
offer
valuable
insights
reference
points
guide
future
research
precision
pharmacology.
Drug Metabolism and Disposition,
Год журнала:
2023,
Номер
51(10), С. 1273 - 1283
Опубликована: Июнь 9, 2023
Mass
spectrometric
imaging
is
a
nontargeted,
tag-free,
high-throughput,
and
highly
responsive
analytical
approach.
The
accurate
molecular
visualization
detection
technology
enables
qualitative
quantitative
analyses
of
biologic
tissues
or
cells
scanned
by
mass
spectrometry
in
situ,
extracting
known
unknown
multiple
compounds,
simultaneously
assessing
relative
contents
targeting
molecules
monitoring
their
ions
pinpointing
the
spatial
locations
those
distributed.
Five
techniques
characteristics
are
introduced
review,
including
matrix-assisted
laser
desorption
ionization
spectrometry,
secondary
ion
electrospray
ablation
inductively
coupled
plasma
spectrometry.
spectrometry-based
provide
possibility
for
metabolomics
with
capability
high
throughput
precision
detection.
approaches
have
been
widely
employed
to
spatially
image
not
only
metabolome
endogenous
amino
acids,
peptides,
proteins,
neurotransmitters,
lipids
but
also
disposition
exogenous
chemicals,
such
as
pharmaceutical
agents,
environmental
pollutants,
toxicants,
natural
products,
heavy
metals.
us
distribution
analytes
single
cells,
tissue
microregions,
organs,
whole
animals.
SIGNIFICANCE
STATEMENT
review
article
includes
an
overview
five
commonly
used
spectrometers
describes
advantages
disadvantages
each.
Examples
applications
cover
drug
disposition,
diseases,
omics.
Technical
aspects
absolute
quantification
challenges
future
new
discussed
well.
reviewed
knowledge
may
benefit
development
drugs
better
understanding
biochemical
processes
related
physiology
diseases.
Frontiers in Pharmacology,
Год журнала:
2025,
Номер
16
Опубликована: Янв. 31, 2025
Spatial
metabolomics
is
an
emerging
technology
that
integrates
mass
spectrometry
imaging
(MSI)
with
metabolomics,
offering
a
novel
visual
perspective
for
traditional
analysis.
This
enables
in-depth
analysis
in
three
dimensions:
qualitative,
quantitative,
and
localization
of
metabolites.
precisely
reflects
the
characteristics
metabolic
network
changes
metabolites
within
entire
tissues
or
specific
micro-regions.
It
provides
detailed
understanding
pharmacodynamic
material
basis
mechanisms
action.
These
capabilities
suggest
spatial
can
offer
significant
technical
support
studying
complex
pathophysiology
mental
disorders.
Although
underlying
disorders
have
been
reviewed
multiple
times,
this
paper
comprehensive
comparison
between
metabolomics.
also
summarizes
latest
progress
challenges
applying
to
study
Chinese
medicine.
