Signal Transduction and Targeted Therapy,
Journal Year:
2023,
Volume and Issue:
8(1)
Published: March 20, 2023
Metabolic
abnormalities
lead
to
the
dysfunction
of
metabolic
pathways
and
metabolite
accumulation
or
deficiency
which
is
well-recognized
hallmarks
diseases.
Metabolite
signatures
that
have
close
proximity
subject's
phenotypic
informative
dimension,
are
useful
for
predicting
diagnosis
prognosis
diseases
as
well
monitoring
treatments.
The
lack
early
biomarkers
could
poor
serious
outcomes.
Therefore,
noninvasive
methods
with
high
specificity
selectivity
desperately
needed.
Small
molecule
metabolites-based
metabolomics
has
become
a
specialized
tool
biomarker
pathway
analysis,
revealing
possible
mechanisms
human
various
deciphering
therapeutic
potentials.
It
help
identify
functional
related
variation
delineate
biochemical
changes
indicators
pathological
damage
prior
disease
development.
Recently,
scientists
established
large
number
profiles
reveal
underlying
networks
target
exploration
in
biomedicine.
This
review
summarized
analysis
on
potential
value
small-molecule
candidate
metabolites
clinical
events,
may
better
diagnosis,
prognosis,
drug
screening
treatment.
We
also
discuss
challenges
need
be
addressed
fuel
next
wave
breakthroughs.
Nanoscale Advances,
Journal Year:
2023,
Volume and Issue:
5(10), P. 2674 - 2723
Published: Jan. 1, 2023
The
interaction
of
nanoparticles
(NPs)
with
cells
depends
on
their
physicochemical
properties
and
can
lead
to
cytotoxic
events.
Metabolomics
reveals
the
molecular
mechanisms
this
nanotoxicity
avoids
misleading
interferences
NPs.
Chemical Reviews,
Journal Year:
2023,
Volume and Issue:
123(13), P. 8297 - 8346
Published: June 15, 2023
Omics
technologies
have
rapidly
evolved
with
the
unprecedented
potential
to
shape
precision
medicine.
Novel
omics
approaches
are
imperative
toallow
rapid
and
accurate
data
collection
integration
clinical
information
enable
a
new
era
of
healthcare.
In
this
comprehensive
review,
we
highlight
utility
Raman
spectroscopy
(RS)
as
an
emerging
technology
for
clinically
relevant
applications
using
significant
samples
models.
We
discuss
use
RS
both
label-free
approach
probing
intrinsic
metabolites
biological
materials,
labeled
where
signal
from
reporters
conjugated
nanoparticles
(NPs)
serve
indirect
measure
tracking
protein
biomarkers
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Feb. 28, 2023
Neural
communication
networks
form
the
fundamental
basis
for
brain
function.
These
are
enabled
by
emitted
ligands
such
as
neurotransmitters,
which
activate
receptor
complexes
to
facilitate
communication.
Thus,
neural
is
fundamentally
dependent
on
transcriptome.
Here
we
develop
NeuronChat,
a
method
and
package
inference,
visualization
analysis
of
neural-specific
among
pre-defined
cell
groups
using
single-cell
expression
data.
We
incorporate
manually
curated
molecular
interaction
database
signaling
both
human
mouse,
benchmark
NeuronChat
several
published
datasets
validate
its
ability
in
predicting
connectivity.
Then,
apply
three
different
tissue
illustrate
functionalities
identifying
interneural
networks,
revealing
conserved
or
context-specific
interactions
across
biological
contexts,
pattern
changes
diseased
brains
with
autism
spectrum
disorder.
Finally,
demonstrate
can
utilize
spatial
transcriptomics
data
infer
visualize
cell-cell
Plant Cell Reports,
Journal Year:
2024,
Volume and Issue:
43(3)
Published: Feb. 27, 2024
The
escalating
challenges
posed
by
metal(loid)
toxicity
in
agricultural
ecosystems,
exacerbated
rapid
climate
change
and
anthropogenic
pressures,
demand
urgent
attention.
Soil
contamination
is
a
critical
issue
because
it
significantly
impacts
crop
productivity.
widespread
threat
of
can
jeopardize
global
food
security
due
to
contaminated
supplies
pose
environmental
risks,
contributing
soil
water
pollution
thus
impacting
the
whole
ecosystem.
In
this
context,
plants
have
evolved
complex
mechanisms
combat
stress.
Amid
array
innovative
approaches,
omics,
notably
transcriptomics,
proteomics,
metabolomics,
emerged
as
transformative
tools,
shedding
light
on
genes,
proteins,
key
metabolites
involved
stress
responses
tolerance
mechanisms.
These
identified
candidates
hold
promise
for
developing
high-yielding
crops
with
desirable
agronomic
traits.
Computational
biology
tools
like
bioinformatics,
biological
databases,
analytical
pipelines
support
these
omics
approaches
harnessing
diverse
information
facilitating
mapping
genotype-to-phenotype
relationships
under
conditions.
This
review
explores:
(1)
multifaceted
strategies
that
use
adapt
their
environment;
(2)
latest
findings
metal(loid)-mediated
metabolomics
studies
across
various
plant
species;
(3)
integration
data
artificial
intelligence
high-throughput
phenotyping;
(4)
bioinformatics
single
and/or
multi-omics
integration;
(5)
insights
into
adaptations
future
outlooks;
(6)
capacity
advances
creating
sustainable
resilient
thrive
metal(loid)-contaminated
environments.
Pharmaceuticals,
Journal Year:
2025,
Volume and Issue:
18(1), P. 75 - 75
Published: Jan. 10, 2025
Recent
developments
in
single-cell
multi-omics
technologies
have
provided
the
ability
to
identify
diverse
cell
types
and
decipher
key
components
of
tumor
microenvironment
(TME),
leading
important
advancements
toward
a
much
deeper
understanding
how
heterogeneity
contributes
cancer
progression
therapeutic
resistance.
These
are
able
integrate
data
from
molecular
genomic,
transcriptomic,
proteomics,
metabolomics
studies
cells
at
resolution
scale
that
give
rise
full
cellular
complexity
TME.
Understanding
complex
sometimes
reciprocal
relationships
among
cells,
CAFs,
immune
ECs
has
led
novel
insights
into
their
immense
functions,
which
can
consequences
on
behavior.
In-depth
uncovered
evasion
mechanisms,
including
exhaustion
T
metabolic
reprogramming
response
hypoxia
cells.
Single-cell
also
revealed
resistance
such
as
stromal
cell-secreted
factors
physical
barriers
extracellular
matrix.
Future
examining
specific
pathways
targeting
approaches
reduce
TME
will
likely
lead
better
outcomes
with
immunotherapies,
drug
delivery,
etc.,
for
treatments.
incorporate
data,
spatial
micro-environments,
translation
personalized
therapies.
This
review
emphasizes
provide
TME,
revealing
reprogramming,
influences.
aim
guide
development
targeted
therapies,
highlighting
role
diversity
shaping
behavior
treatment
outcomes.
Acta Pharmaceutica Sinica B,
Journal Year:
2023,
Volume and Issue:
13(8), P. 3238 - 3251
Published: May 23, 2023
Emerging
evidence
has
demonstrated
the
vital
role
of
metabolism
in
various
diseases
or
disorders.
Metabolomics
provides
a
comprehensive
understanding
biological
systems.
With
advanced
analytical
techniques,
metabolomics
exhibits
unprecedented
significant
value
basic
drug
research,
including
disease
mechanisms,
identifying
targets,
and
elucidating
mode
action
drugs.
More
importantly,
greatly
accelerates
development
process
by
predicting
pharmacokinetics,
pharmacodynamics,
response.
In
addition,
facilitates
exploration
repurposing
drug-drug
interactions,
as
well
personalized
treatment
strategies.
Here,
we
briefly
review
recent
advances
technologies
update
our
knowledge
applications
research
development.
