A metabolomic profile of biological aging in 250,341 individuals from the UK Biobank
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Sept. 15, 2024
Language: Английский
Cross‐Referencing Multifluid Metabolic Profiles on Hollow Dodecahedral Nanocages for Enhanced Disease Status Identification
Fangying Shi,
No information about this author
Lingli Chen,
No information about this author
Yiming Qiao
No information about this author
et al.
Small,
Journal Year:
2025,
Volume and Issue:
21(9)
Published: Feb. 5, 2025
Abstract
The
development
of
matrices
has
shown
great
potential
for
fluid
metabolic
analysis
in
disease
detection.
However,
single‐fluid
metabolomic
been
recognized
as
insufficient
to
fully
capture
the
complexities
diseases
such
liver
disease,
which
limits
detection
accuracy.
To
this
end,
hollow
dodecahedral
nanocages‐based
analytical
tool
is
developed,
featuring
four‐high
characteristics
speed,
throughput,
efficiency,
and
patient
compliance,
enhance
extraction
multifluid
profiles.
cross‐referencing
these
profiles
among
different
diseases,
including
hepatocellular
carcinoma
(HCC),
chronic
(CLD),
healthy
controls,
enhances
diagnosis
particularly
achieving
near‐perfect
discrimination
HCC
with
an
AUC
value
0.990,
significantly
outperforming
any
single
analysis.
Additionally,
dynamic
changes
expression
levels
key
biomarkers
throughout
progression
are
explored,
providing
insights
into
their
temporal
evolution,
highlighting
role
monitoring
status.
This
work
highlights
that
can
comprehensively
sensitively
reflect
status,
enabling
precise
identification
complex
facilitating
personalized
treatment.
Language: Английский
Elucidating the Mechanisms of Acquired Palbociclib Resistance via Comprehensive Metabolomics Profiling
Current Issues in Molecular Biology,
Journal Year:
2025,
Volume and Issue:
47(1), P. 24 - 24
Published: Jan. 2, 2025
Palbociclib
is
a
cyclin-dependent
kinase
4/6
inhibitor
and
commonly
used
antitumor
drug.
Many
cancers
are
susceptible
to
palbociclib
resistance,
however,
the
underlying
metabolism
mechanism
extent
of
resistance
unknown.
In
this
study,
LC-MS
metabolomics
was
investigate
metabolite
changes
colorectal
cancer
SW620
cells
that
were
resistant
palbociclib.
The
study
indicated
there
76
expression
differences
between
with
parental
involving
amino
acids,
glutathione,
ABC
transporters,
so
on.
MetaboAnalyst
6.0
metabolic
pathway
analysis
showed
arginine
synthesis,
β-alanine
metabolism,
purine
disrupted.
These
results
may
provide
potential
clues
drug
in
Our
has
contribute
anti-palbociclib
resistance.
Language: Английский
Immunomodulation of Glycyrrhiza Polysaccharides In Vivo Based on Microbiome and Metabolomics Approaches
Foods,
Journal Year:
2025,
Volume and Issue:
14(5), P. 874 - 874
Published: March 4, 2025
Glycyrrhiza
uralensis
Fisch.
is
a
medicinal
herb
that
can
be
added
to
food
provide
therapeutic
effects
and
reduce
the
burden
of
medications.
Herein,
immunomodulatory
polysaccharides
(GPs)
were
verified
illustrated
by
intervening
immunocompromised
rats
treated
with
different
doses
GPs,
which
reflected
for
adjusting
composition
structure
intestinal
microbiota
altering
metabolic
profile.
The
GPs
exerted
regulating
microenvironment.
In
particular,
could
promote
growth
probiotic
bacteria
Allobaculum,
norank__o_Clostridia_UCG-014,
Dubosiella,
g__norank_o___RF39
curb
harmful
Enterococcus.
results
showed
had
prebiotic
effect,
contributed
improving
environment
maintaining
health.
addition,
content
beneficial
differential
metabolites
was
up-regulated,
especially
short-chain
fatty
acids,
alanine,
aspartate,
glutamate
metabolism;
arginine
biosynthesis;
glyoxylate
dicarboxylate
metabolism
being
most
enriched
pathways.
These
pathways
imply
process
effector
it
are
focused.
Overall,
purpose
this
article
lies
in
providing
support
application
immune
function.
Language: Английский
Metabolic reprogramming in esophageal squamous cell carcinoma
Frontiers in Pharmacology,
Journal Year:
2024,
Volume and Issue:
15
Published: June 26, 2024
Esophageal
squamous
cell
carcinoma
(ESCC)
is
a
malignancy
with
high
incidence
in
China.
Due
to
the
lack
of
effective
molecular
targets,
prognosis
ESCC
patients
poor.
It
urgent
explore
pathogenesis
identify
promising
therapeutic
targets.
Metabolic
reprogramming
an
emerging
hallmark
ESCC,
providing
novel
perspective
for
revealing
biological
features
ESCC.
In
hypoxic
and
nutrient-limited
tumor
microenvironment,
cells
have
reprogram
their
metabolic
phenotypes
fulfill
demands
bioenergetics,
biosynthesis
redox
homostasis
cells.
this
review,
we
summarized
that
involves
glucose
metabolism,
lipid
amino
acid
metabolism
how
reprogrammed
provokes
opportunities
biomarkers
potential
targets
Language: Английский
Omics approaches to unravel insecticide resistance mechanism in Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae)
PeerJ,
Journal Year:
2024,
Volume and Issue:
12, P. e17843 - e17843
Published: Sept. 5, 2024
(Gennadius)
whitefly
(BtWf)
is
an
invasive
pest
that
has
already
spread
worldwide
and
caused
major
crop
losses.
Numerous
strategies
have
been
implemented
to
control
their
infestation,
including
the
use
of
insecticides.
However,
prolonged
insecticide
exposures
evolved
BtWf
resist
these
chemicals.
Such
resistance
mechanism
known
be
regulated
at
molecular
level
systems
biology
omics
approaches
could
shed
some
light
on
understanding
this
regulation
wholistically.
In
review,
we
discuss
various
techniques
(genomics,
transcriptomics,
proteomics,
metabolomics)
unravel
in
BtWf.
We
summarize
key
genes,
enzymes,
metabolic
are
associated
with
review
impact
resistance.
Evidently,
enzymes
involved
detoxification
system
such
as
cytochrome
P450
(CYP),
glutathione
S-transferases
(GST),
carboxylesterases
(COE),
UDP-glucuronosyltransferases
(UGT),
ATP
binding
cassette
transporters
(ABC)
family
played
roles
These
genes/proteins
can
then
serve
foundation
for
other
targeted
techniques,
gene
silencing
using
RNA
interference
CRISPR.
future,
will
useful
knock
down
detoxifying
genes
crucial
neutralizing
mechanism,
which
lead
solutions
coping
against
infestation.
Language: Английский
Metabolomics for enhanced clinical understanding of inflammatory bowel disease
Life Sciences,
Journal Year:
2024,
Volume and Issue:
359, P. 123238 - 123238
Published: Nov. 12, 2024
Metabolomics
is
an
emerging
field
involving
the
systematic
identification
and
quantification
of
numerous
metabolites
in
biological
samples.
Precision
medicine
applies
multiomics
systems
biology
to
individual
patients
for
reliable
diagnostic
classification,
disease
monitoring,
treatment.
Multiomics
encompasses
genomics,
transcriptomics,
proteomics,
epigenomics,
metabolomics.
Therefore,
metabolomic
techniques
could
be
highly
valuable
future
clinical
decision-making.
This
review
provides
a
technical
overview
two
commonly
used
metabolomics
measurements:
mass
spectrometry
(MS)
proton
nuclear
magnetic
resonance
(
Language: Английский
From multi-omics to predictive biomarker: AI in tumor microenvironment
Luo Hai,
No information about this author
Ziming Jiang,
No information about this author
Haoxuan Zhang
No information about this author
et al.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 23, 2024
In
recent
years,
tumors
have
emerged
as
a
major
global
health
threat.
An
increasing
number
of
studies
indicate
that
the
production,
development,
metastasis,
and
elimination
tumor
cells
are
closely
related
to
microenvironment
(TME).
Advances
in
artificial
intelligence
(AI)
algorithms,
particularly
large
language
models,
rapidly
propelled
research
medical
field.
This
review
focuses
on
current
state
strategies
applying
AI
algorithms
metabolism
explores
expression
differences
between
normal
cells.
The
analysis
is
conducted
from
perspectives
metabolomics
interactions
within
TME,
further
examining
roles
various
cytokines.
describes
potential
approaches
through
which
can
facilitate
metabolic
studies,
offers
valuable
perspective
for
deeper
understanding
pathological
mechanisms
tumors.
Language: Английский
New Metabolomic Insights Into Cancer
The Cancer Journal,
Journal Year:
2024,
Volume and Issue:
30(5), P. 301 - 306
Published: Sept. 1, 2024
Cancer
has
been
marked
by
metabolic
irregularities
that
fuel
various
aggressive
activities
such
as
rapid
cell
proliferation,
evasion
of
the
immune
system,
and
spread
to
distant
organs.
Therefore,
exploiting
cancer
metabolism
for
diagnosis,
monitoring,
or
treatment
extensively
studied
in
past
couple
decades
with
molecular
cellular
techniques.
More
recently,
investigating
diagnostics
treatments
through
advanced
metabolomics
emerged,
these
comprehensive
approaches
provide
a
holistic
understanding
metabolism,
which
supported
discovery
targets
relevant
across
multiple
types
development
more
effective
treatments.
This
study
offers
highlights
new
knowledge
on
enabled
recent
studies
their
potential
applications
aiding
research
predicting
outcomes.
Specifically,
we
discussed
use
tumor
microenvironment,
immunotherapy
valuable
insights
can
shape
future
efforts
dynamic
field
research.
Language: Английский
NMR‐based metabolomics combined with metabolic pathway analysis reveals metabolic heterogeneity of colorectal cancer tissue at different anatomical locations and stages
International Journal of Cancer,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 4, 2024
Abstract
Colorectal
cancer
(CRC)
still
remains
the
leading
cause
of
death
worldwide.
This
study
aimed
to
profile
metabolic
differences
colorectal
tissues
(CCT)
at
different
stages
and
sites,
as
compared
with
their
distant
noncancerous
(DNT),
investigate
temporal
spatial
heterogeneities
characterization.
Our
NMR‐based
metabolomics
fingerprinting
revealed
that
many
metabolite
levels
were
significantly
altered
in
CCT
DNT
esophageal
tissues,
indicating
deregulations
glucose
metabolism,
one‐carbon
glutamine
amino
acid
fatty
TCA
cycle,
choline
so
forth.
A
total
five
biomarker
metabolites,
including
glucose,
glutamate,
alanine,
valine
histidine,
identified
distinguish
between
early
advanced
CCT.
Metabolites
anatomical
sites
include
glycerol,
glutamine,
inositol,
succinate,
citrate.
Those
significant
CRC
pathological
suggested
characterization
CCT,
providing
a
foundation
for
further
on
biofluid
metabolism
detection.
Language: Английский