bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 16, 2023
Abstract
In
vivo
estimation
of
cerebrospinal
fluid
(CSF)
velocity
is
crucial
for
understanding
the
glymphatic
system
and
its
potential
role
in
neurodegenerative
disorders
such
as
Alzheimer’s
disease
Parkinson’s
disease.
Current
cardiac
or
respiratory
gated
approaches,
4D
flow
MRI,
cannot
capture
CSF
movement
real
time
due
to
limited
temporal
resolution
addition
deteriorate
accuracy
at
low
velocities.
Other
techniques
like
real-time
PC-MRI
time-spatial
labeling
inversion
pulse
are
not
by
averaging
but
have
availability
even
research
settings.
This
study
aims
quantify
inflow
effect
dynamic
motion
on
functional
magnetic
resonance
imaging
(fMRI)
,
measurement
velocity.
We
considered
linear
nonlinear
models
waveforms
empirically
fit
them
fMRI
data
from
a
controlled
experiment.
To
assess
utility
this
methodology
human
data,
velocities
were
computed
acquired
eight
healthy
volunteers.
Breath
holding
regimens
used
amplify
oscillations.
Our
experimental
revealed
that
nonlinearly
related
effect-mediated
signal
increase
well
estimated
using
an
extension
previous
framework.
Using
relationship,
we
recovered
signal,
demonstrating
our
approach
estimating
brain.
novel
method
could
serve
alternative
quantifying
slow
time,
ventricular
system,
thereby
providing
valuable
insights
into
system’s
function
implications
neurological
disorders.
Biomedicine & Pharmacotherapy,
Journal Year:
2023,
Volume and Issue:
166, P. 115415 - 115415
Published: Sept. 4, 2023
Iron,
as
an
essential
trace
element
for
the
organism,
is
vital
maintaining
organism's
health.
Excessive
iron
can
promote
reactive
oxygen
species
(ROS)
accumulation,
thus
damaging
cells
and
tissues.
Ferroptosis
a
novel
form
of
programmed
cell
death
distinguished
by
overload
lipid
peroxidation,
which
unique
from
autophagy,
apoptosis
necrosis,
more
studies
are
focusing
on
ferroptosis.
Recent
evidence
suggests
that
ferroptosis
associated
with
development
female
reproductive
disorders
(FRDs),
including
polycystic
ovary
syndrome
(PCOS),
premature
ovarian
insufficiency
(POI),
endometriosis
(EMs),
cancer
(OC),
preeclampsia
(PE)
spontaneous
abortion
(SA).
Pathways
genes
may
participate
in
processes
regulate
granulosa
proliferation
secretion,
oocyte
development,
reserve
function,
early
embryonic
placental
oxidative
stress.
However,
its
exact
mechanism
has
not
been
fully
revealed.
Therefore,
our
review
systematically
elaborates
occurrence
research
progress
FRDs,
view
to
providing
literature
references
clinical
targeting
-related
pathways
regulatory
factors
management
FRDs.
Metabolites,
Journal Year:
2022,
Volume and Issue:
12(7), P. 590 - 590
Published: June 24, 2022
Preeclampsia
is
a
multisystem
pregnancy
disorder
that
characterized
by
different
degrees
of
placental
malperfusion,
with
release
antiangiogenic
factors
into
the
circulation,
leading
to
maternal
vascular
endothelial
injury
and
high
blood
pressure.
As
major
cause
perinatal
mortality
morbidity
worldwide,
once
preeclampsia
has
been
diagnosed,
there
are
no
curative
treatments
except
for
delivery.
Lipids
serve
as
ubiquitous
multifunctional
metabolites
integral
essential
many
diverse
functions
on
both
cellular
organismal
level.
Lipid
metabolic
abnormalities
have
emerged
potential
risk
development
progression
preeclampsia.
This
review
comprehensively
examines
decades
discovery
illuminate
roles
lipids
dysregulation
in
levels
various
lipid
classes
In
addition,
summarized
further
understand
pathogenic
mechanisms
Overall,
highlights
promising
pathophysiology
lipid-targeting
therapeutic
strategies
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(14), P. 7620 - 7620
Published: July 11, 2024
Maternal
metabolism
during
pregnancy
shapes
offspring
health
via
in
utero
programming.
In
the
Healthy
Start
study,
we
identified
five
subgroups
of
pregnant
women
based
on
conventional
metabolic
biomarkers:
Reference
(n
=
360);
High
HDL-C
289);
Dyslipidemic–High
TG
149);
FFA
180);
Insulin
Resistant
(IR)–Hyperglycemic
87).
These
not
only
captured
heterogeneity
among
participants
but
were
also
associated
with
obesity
early
childhood,
even
without
or
diabetes.
Here,
utilize
metabolomics
data
to
enrich
characterization
and
identify
key
compounds
driving
between-group
differences.
We
analyzed
fasting
blood
samples
from
1065
at
18
gestational
weeks
using
untargeted
metabolomics.
used
weighted
gene
correlation
network
analysis
(WGCNA)
derive
a
global
subgroup
characterized
distinct
metabolite
modules
representative
different
metabolomic
profiles.
mummichog
algorithm
for
pathway
enrichment
that
differed
across
subgroups.
Eight
representing
pathways
such
as
carnitine–acylcarnitine
translocase
system,
fatty
acid
biosynthesis
activation,
glycerophospholipid
identified.
A
module
included
189
related
DHA
peroxidation,
oxidative
stress,
sex
hormone
was
elevated
Resistant–Hyperglycemic
vs.
subgroup.
This
positively
correlated
total
cholesterol
(R:0.10;
p-value
<
0.0001)
free
acids
(R:0.07;
0.05).
Oxidative
stress
inflammatory
may
underlie
insulin
resistance
pregnancy,
below
clinical
diabetes
thresholds.
findings
highlight
potential
therapeutic
targets
strategies
risk
stratification
reveal
mechanisms
underlying
developmental
origins
disease
risk.
Frontiers in Nutrition,
Journal Year:
2025,
Volume and Issue:
12
Published: March 7, 2025
It
is
well
acknowledged
that
metabolic
disorder
binds
closely
with
preeclampsia,
though
some
of
the
causal
relationships
are
still
ambiguous.
This
review
systematically
summarizes
characteristics
carbohydrates,
lipids,
amino
acids,
and
glycans
in
highlighting
their
roles
oxidative
stress,
trophoblast
autophagy,
inflammatory
response,
vascular
tone
regulation.
Key
findings
include
upregulated
glycolysis
impaired
mitochondrial
function
contributing
to
ATP
deficiency,
dysregulated
lipid
metabolism
exacerbating
stress
dysfunction,
acid
imbalances
disrupting
immune
responses
redox
homeostasis.
Emerging
therapies,
such
as
metformin
pravastatin,
demonstrate
potential
targeting
these
pathways
for
prevention
treatment.
Here,
we
reviewed
thoroughly
related
literature
a
view
delineating
association
nutrient
so
could
explore
promising
therapeutic
approach.
Analytical Science Advances,
Journal Year:
2023,
Volume and Issue:
4(3-4), P. 104 - 131
Published: May 1, 2023
Abstract
Lipids
are
biological
molecules
that
play
vital
roles
in
all
living
organisms.
They
perform
many
cellular
functions,
such
as
1)
forming
and
subcellular
membranes,
2)
storing
using
energy,
3)
serving
chemical
messengers
during
intra‐
inter‐cellular
signal
transduction.
The
large‐scale
study
of
the
pathways
networks
lipids
systems
is
called
“lipidomics”
one
fastest‐growing
omics
technologies
last
two
decades.
With
state‐of‐the‐art
mass
spectrometry
instrumentation
sophisticated
data
handling,
clinical
studies
show
how
human
lipid
composition
changes
health
disease,
thereby
making
it
a
valuable
medium
to
collect
for
applications,
disease
diagnostics,
therapeutic
decision‐making,
drug
development.
This
review
gives
comprehensive
overview
current
workflows
used
research,
from
sample
collection
preparation
interpretations.
followed
by
an
appraisal
applications
2022
perspective
on
exciting
future
lipidomics.
Journal of Proteome Research,
Journal Year:
2025,
Volume and Issue:
24(2), P. 491 - 498
Published: Jan. 6, 2025
This
study
used
untargeted
lipidomics
to
analyze
the
characteristics
of
lipid
metabolism
in
serum
women
with
antiphospholipid
syndrome.
Twenty
female
patients
APS
and
20
healthy
controls
were
recruited
this
study.
Untargeted
liquid
chromatography-tandem
mass
spectrometry
was
profile
lipids.
Correlation
analyses
performed
on
significant
differential
Least
absolute
shrinkage
selection
operator
(LASSO)
regression
binary
logistic
find
possible
biomarkers.
Finally,
receiver
operating
characteristic
(ROC)
curve
analysis
evaluate
diagnostic
performance
The
significantly
different
from
that
controls.
After
statistical
database
matching,
12
lipids
found
be
between
two
groups,
most
obvious
differences
being
triacylglycerols
phosphatidylcholines.
LASSO
models
revealed
PC
(17:0/22:6)
ACar
(17:3)
may
biomarkers
APS.
ROC
shows
combined
gave
an
area
under
0.865
for
diagnosis
could
as
Analytical Methods,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
Intrahepatic
cholestasis
of
pregnancy
(ICP)
is
a
pregnancy-specific
liver
disorder
that
typically
leads
to
severe
outcomes.
Although
genetic,
endocrine,
and
environmental
factors
are
involved
in
the
etiology
ICP,
role
metabolic
disorders
remains
unclear.
Here
we
report
an
examination
biomolecular
alterations
placental
tissues
women
with
ICP
healthy
pregnant
at
molecular
level.
By
integrating
FTIR
microspectroscopy
advanced
multivariate
statistical
analysis
semiquantitative
methods,
including
PCA,
OPLS-DA
peak
area
ratio
calculations,
were
revealed.
Specifically,
lipid
conformations
increased
acyl
chain
unsaturation
group
associated
bile
acids
participating
regulation
metabolism.
Additionally,
reduction
relative
α-helix
content
proteins
compared
β-sheet
structures
was
changes
apoptosis-related
proteins.
Furthermore,
nucleic
acid
lipids
elevated
group.
Our
study
underscores
potential
as
powerful
tool
for
investigating
underlying
biochemical
mechanisms
related
ICP.