Cell Reports,
Год журнала:
2021,
Номер
35(11), С. 109250 - 109250
Опубликована: Июнь 1, 2021
Sphingolipids
(SPs)
have
both
a
structural
role
in
the
cell
membranes
and
signaling
function
that
regulates
many
cellular
processes.
The
enormous
diversity
low
abundance
of
SPs
pose
challenge
for
their
identification
quantification.
Recent
advances
lipidomics,
particular
liquid
chromatography
(LC)
coupled
with
mass
spectrometry
(MS),
provide
methods
to
detect
quantify
low-abundant
SP
species
reliably.
Here
we
use
LC-MS
compile
"murine
sphingolipid
atlas,"
containing
qualitative
quantitative
distribution
114
21
tissues
widely
utilized
wild-type
laboratory
mouse
strain
(C57BL/6).
We
report
tissue-specific
fingerprints,
as
well
sex-specific
differences
same
tissue.
This
is
comprehensive,
sphingolipidomic
map
mammalian
collected
systematic
fashion.
It
will
complement
other
tissue
compendia
interrogation
into
health
disease.
International Journal of Molecular Sciences,
Год журнала:
2022,
Номер
23(22), С. 13968 - 13968
Опубликована: Ноя. 12, 2022
An
altered
metabolism
is
involved
in
the
development
of
clear
cell
renal
carcinoma
(ccRCC).
MUC1
overexpression
has
been
found
to
be
associated
with
advanced
disease
and
poor
prognosis.
In
this
study,
we
evaluated
metabolomic
profile
human
ccRCC,
according
expression,
integrated
it
transcriptomic
data.
Moreover,
analyzed
role
sustaining
ccRCC
aggressiveness
prognostic
value
its
soluble
form
CA15-3.
Integrated
analysis
showed
that
MUC1-expressing
was
characterized
by
metabolic
reprogramming
involving
glucose
lipid
pathway.
addition,
primary
cancer
cells
treated
a
small
interfering
RNA
targeting
(siMUC1)
migrated
proliferated
at
slower
rate
than
untreated
cells.
After
cisplatin
treatment,
death
siMUC1
significantly
greater
Kaplan–Meier
curves
significant
differences
CSS
PFS
among
groups
patients
high
versus
low
levels
multivariate
analysis,
CA15-3
an
independent
adverse
factor
for
cancer-specific
progression-free
survival.
conclusion,
expressing
particular
reprogramming.
The
inhibition
expression
decreases
motility
viability
improves
susceptibility,
suggesting
pathway
can
regulate
de
novo
chemotherapy
resistance
ccRCC.
Journal of Translational Medicine,
Год журнала:
2023,
Номер
21(1)
Опубликована: Май 31, 2023
Abstract
Background
Osteoarthritis
(OA)
is
one
of
the
most
prevalent
musculoskeletal
diseases
and
leading
cause
pain
disability
in
aged
population.
However,
underlying
biological
mechanism
has
not
been
fully
understood.
This
study
aims
to
reveal
causal
effect
circulation
metabolites
on
OA
susceptibility.
Methods
A
two-sample
Mendelian
Randomization
(MR)
analysis
was
performed
estimate
causality
GDMs
OA.
genome-wide
association
(GWAS)
486
used
as
exposure,
whereas
8
different
phenotypes,
including
any-site
(All
OA),
knee
and/or
hip
(knee/hip
OA,
spine
finger
thumb
(hand
were
set
outcomes.
Inverse-variance
weighted
(IVW)
for
calculating
estimates.
weight
mode,
median,
MR-egger,
MR-PRESSO
sensitive
analysis.
Furthermore,
metabolic
pathway
via
web-based
Metaconflict
4.0.
All
statistical
analyses
R
software.
Results
In
this
MR
analysis,
a
total
235
causative
associations
between
phenotypes
observed.
After
false
discovery
rate
(FDR)
correction
9
robust
7
(e.g.,
arginine,
kynurenine,
isovalerylcarnitine)
5
finally
identified.
Additionally,
eleven
significant
pathways
4
identified
by
Conclusion
The
finding
our
suggested
that
can
be
considered
useful
circulating
biomarkers
screening
prevention
clinical
practice,
also
serve
candidate
molecules
future
exploration
drug
target
selection.
Acta Pharmaceutica Sinica B,
Год журнала:
2021,
Номер
11(6), С. 1379 - 1399
Опубликована: Март 21, 2021
Over
the
past
decade,
traditional
Chinese
medicine
(TCM)
has
widely
embraced
systems
biology
and
its
various
data
integration
approaches
to
promote
modernization.
Thus,
integrative
pharmacology-based
(TCMIP)
was
proposed
as
a
paradigm
shift
in
TCM.
This
review
focuses
on
presentation
of
this
novel
concept
main
research
contents,
methodologies
applications
TCMIP.
First,
TCMIP
is
an
interdisciplinary
science
that
can
establish
qualitative
quantitative
pharmacokinetics–pharmacodynamics
(PK–PD)
correlations
through
knowledge
from
multiple
disciplines
techniques
different
PK–PD
processes
vivo.
Then,
contents
are
introduced
follows:
chemical
ADME/PK
profiles
TCM
formulas;
confirming
three
forms
active
substances
action
modes;
establishing
correlation;
building
correlations,
etc.
After
that,
we
summarize
existing
resources,
computational
models
experimental
methods
highlight
urgent
establishment
mathematical
modeling
methods.
Finally,
further
discuss
for
improvement
quality
control,
clarification
molecular
mechanisms
underlying
actions
TCMs
discovery
potential
new
drugs,
especially
TCM-related
combination
drug
discovery.
Scientific Reports,
Год журнала:
2021,
Номер
11(1)
Опубликована: Июль 19, 2021
Research
exploring
the
development
and
outcome
of
COVID-19
infections
has
led
to
need
find
better
diagnostic
prognostic
biomarkers.
This
cross-sectional
study
used
targeted
metabolomics
identify
potential
biomarkers
that
predicted
course
illness
by
assessing
110
endogenous
plasma
metabolites
from
individuals
admitted
a
local
hospital
for
diagnosis/treatment.
Patients
were
classified
into
four
groups
(≈
40
each)
according
standard
polymerase
chain
reaction
(PCR)
testing
disease
course:
PCR-/controls
(i.e.,
non-COVID
controls),
PCR+/not-hospitalized,
PCR+/hospitalized,
PCR+/intubated.
Blood
samples
collected
within
2
days
admission/PCR
testing.
Metabolite
concentration
data,
demographic
data
clinical
propose
develop
optimal
regression
models
diagnosis
prognosis
COVID-19.
The
area
under
receiver
operating
characteristic
curve
(AUC;
95%
CI)
was
assess
each
models'
predictive
value.
A
panel
included
kynurenine:
tryptophan
ratio,
lysoPC
C26:0,
pyruvic
acid
discriminated
controls
PCR+/not-hospitalized
(AUC
=
0.947;
CI
0.931-0.962).
second
consisting
C10:2,
butyric
acid,
distinguished
PCR+/hospitalized
PCR+/intubated
0.975;
0.968-0.983).
Only
C28:0
differentiated
patients
0.770;
0.736-0.803).
If
additional
studies
with
confirm
value
these
biomarkers,
such
panels
could
eventually
be
use
in
medical
practice.
npj Biofilms and Microbiomes,
Год журнала:
2022,
Номер
8(1)
Опубликована: Апрель 5, 2022
Abstract
The
gut
microbiota
plays
a
key
role
in
host
metabolic
thermogenesis
by
activating
UCP1
and
increasing
the
browning
process
of
white
adipose
tissue
(WAT),
especially
cold
environments.
However,
crosstalk
between
host,
which
lacks
functional
UCP1,
making
them
susceptible
to
stress,
has
rarely
been
illustrated.
We
used
male
piglets
as
model
evaluate
response
stress
via
(four
groups:
room
temperature
group,
n
=
5;
group
with
antibiotics,
3).
found
that
thermogenesis
insulin
resistance
increased
levels
serum
metabolites
such
glycocholic
acid
(GCA)
glycochenodeoxycholate
(GCDCA)
altered
compositions
functions
cecal
under
stress.
was
characterized
Ruminococcaceae
,
Prevotellaceae
Muribaculaceae
subjected
had
expression
genes
related
bile
short-chain
fatty
(SCFA)
metabolism
their
liver
fat
lipolysis
fat.
In
addition,
CLPS,
PNLIPRP1,
CPT1B,
UCP3
were
significantly
use
antibiotics
showed
weakened
or
strengthened
tolerance
phenotype,
indicating
important
thermogenesis.
Our
results
demonstrate
microbiota-blood-liver
axis
may
regulate
during
acclimation
piglets.
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Авг. 10, 2023
Abstract
The
brain
and
behavior
are
under
energetic
constraints,
limited
by
mitochondrial
energy
transformation
capacity.
However,
the
mitochondria-behavior
relationship
has
not
been
systematically
studied
at
a
brain-wide
scale.
Here
we
examined
association
between
multiple
features
of
respiratory
chain
capacity
stress-related
behaviors
in
male
mice
with
diverse
behavioral
phenotypes.
Miniaturized
assays
enzyme
activities
DNA
(mtDNA)
content
were
deployed
on
571
samples
across
17
areas,
defining
specific
patterns
mito-behavior
associations.
By
applying
multi-slice
network
analysis
to
our
dataset,
identified
three
large-scale
networks
areas
shared
signatures.
A
major
composed
cortico-striatal
exhibited
strongest
correlations,
accounting
for
up
50%
animal-to-animal
differences,
suggesting
that
this
mito-based
is
functionally
significant.
also
overlapped
regional
gene
expression
structural
connectivity,
distinct
molecular
phenotype
This
work
provides
convergent
multimodal
evidence
anchored
activities,
expression,
animal
distinct,
behaviorally-relevant
phenotypes
exist
mouse
brain.
iScience,
Год журнала:
2024,
Номер
27(3), С. 109225 - 109225
Опубликована: Фев. 15, 2024
There
are
no
blood-based
biomarkers
distinguishing
patients
with
relapsing-remitting
(RRMS)
from
secondary
progressive
multiple
sclerosis
(SPMS)
although
evidence
supports
metabolomic
changes
according
to
MS
disease
severity.
Here
machine
learning
analysis
of
serum
data
stratified
RRMS
SPMS
high
accuracy
and
a
putative
score
was
developed
that
patient
subsets.
The
top
differentially
expressed
metabolites
between
versus
included
lipids
fatty
acids,
enriched
in
pathways
related
cellular
respiration,
notably,
elevated
lactate
glutamine
(gluconeogenesis-related)
acetoacetate
bOHbutyrate
(ketone
bodies),
reduced
alanine
pyruvate
(glycolysis-related).
Serum
were
recapitulated
the
whole
blood
transcriptome,
whereby
genes
also
respiration
SPMS.
final
gene-metabolite
interaction
network
demonstrated
potential
metabolic
shift
glycolysis
toward
increased
gluconeogenesis
ketogenesis
SPMS,
indicating
stress
which
may
trigger
response
subsequent
neurodegeneration.