Patients
harboring
mutations
in
the
gene
DEPDC5
often
display
variations
of
neurological
diseases
including
epilepsy,
autism
spectrum
disorders
(ASD)
and
other
neuro-architectural
alterations.
protein
has
been
identified
as
an
amino
acid
sensor
responsible
for
negatively
regulating
mechanistic
target
rapamycin
(mTOR),
a
central
regulator
cell
growth
homeostasis.
Often,
result
mTOR
hyperactivity
leading
to
abnormal
neuronal
phenotypes
generation
excitatory/inhibitory
imbalances
animal
models.
Complete
knockout
(KO)
results
death
shortly
after
birth,
while
inhibition
activity
recovers
postnatal
(Marsan
et
al.
2016).
However,
heterozygous
DEPDC5-KOs
animals
have
variable
their
disease
during
adulthood
indicating
developmental
differences
between
subspecies
early
development
mechanisms
which
could
be
impactful
on
outcome
diseases.
To
understand
underlying
development,
novel
primary
human
neural
progenitor
line
extracted
from
fetal
tissue
was
characterized
proliferation
differentiation.
CRISPR-Cas9
induced
resulted
hyperphosphorylation
signaling
processes
rapid
expansion
population
Analysis
transcriptome
data
deregulation
amongst
p53
signaling,
ribosome
biogenesis,
nucleotide
lipid
synthesis
well
degradation
pathways
due
loss
DEPDC5.
Disease
datasets
correlation
Tuberous
Sclerosis
being
more
closely
associated
with
also
finding
overlap
some
ASD
epilepsy
genes.
By
using
inhibitor
rapamycin,
substantial
amount
deregulated
network
recovered
reversing
differentiation
caused
by
Though
we
saw
increased
dendritic
arborization
subsequent
decreases
dendrite
lengths
soma
sizes,
failed
recover
these
effects
suggesting
independent
produced
DEPDC5-KO.
This
study
provides
new
insights
relationship
functional,
genomic
deregulatory
networks
it
intertwines
humans
highlights
that
pathomechanisms
are
not
fully
related
hyperactivation,
but
include
processes.
sheds
light
question
why
treatment
only
partially
restores
gives
insight
treatments
patients.
ACS Chemical Neuroscience,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 17, 2025
Multiacting
receptor-targeting
antipsychotics
and
tricyclic
antidepressants
stimulate
various
neurotransmitter
receptors
despite
the
different
targets
of
postsynaptic
presynaptic
reuptake
transporters.
Their
auxiliary
adverse
effects
may
be
caused
by
multiple
or
modification
neuronal
membrane.
To
evaluate
membrane
responses
to
olanzapine,
imipramine,
desipramine,
amitriptyline,
lidocaine,
dibucaine,
we
examined
inhibition
lipid
peroxidation
in
egg
yolk
phosphatidylcholine
liposomes.
By
contrast,
their
on
fluidity
were
measured
as
suppressive
contributions
inhibitory
activity
Trolox
oxidation.
These
drugs
inhibit
exclude
harmful
reactive
oxygen
species
protective
effect
Trolox.
The
fluorescence
anisotropy
1,6-diphenyl-1,3,5-hexatriene
saturated
phospholipid
liposome-containing
suggested
that
dibucaine
enhanced
fluidity.
radical
scavenging
2,2-diphenylpicrylhidrazyl
galvinoxyl
radicals
was
determined
using
electron
paramagnetic
resonance
experiments,
molecular
flexibility
thermograms
for
differential
scanning
calorimetry.
Multiple
regression
analyses
linear
free
energy
relationship
approach
comparative
investigations
revealed
membranous
liposomes,
independent
drugs,
induced
peroxidation.
We
discussed
how
these
act
nervous
membranes
aimed
identify
between
uncertified
functions
Analytical Science Advances,
Journal Year:
2022,
Volume and Issue:
3(3-4), P. 67 - 89
Published: March 20, 2022
Ambient
ionization
mass
spectrometry
(AIMS)
has
revolutionized
the
field
of
analytical
chemistry,
enabling
rapid,
direct
analysis
samples
in
their
native
state.
Since
inception
AIMS
almost
20
years
ago,
community
driven
further
development
this
suite
techniques,
motivated
by
plentiful
advantages
offered
addition
to
traditional
spectrometry.
Workflows
can
be
simplified
through
elimination
sample
preparation,
times
significantly
reduced
and
remote
from
laboratory
space
become
a
real
possibility.
As
such,
interest
rapidly
spread
communities
worldwide,
techniques
are
increasingly
being
integrated
with
standard
operations.
This
annual
review
covers
applications
throughout
2021,
specific
focus
on
number
key
fields
research
including
disease
diagnostics,
forensics
security,
food
safety
testing
environmental
sciences.
While
some
new
introduced,
is
shifting
novel
toward
efforts
improve
existing
particularly
terms
reproducibility,
quantification
ease-of-use.
Analytical Chemistry,
Journal Year:
2023,
Volume and Issue:
95(20), P. 8054 - 8062
Published: May 11, 2023
Detecting
breast
tumor
markers
with
a
fast
turnaround
time
from
frozen
sections
should
foster
intraoperative
histopathology
in
breast-conserving
surgery,
reducing
the
need
for
second
operation.
Hence,
rapid
label-free
discrimination
of
spatially
resolved
molecular
makeup
between
cancer
and
adjacent
normal
tissue
is
growing
importance.
We
performed
desorption
electrospray
ionization
mass
spectrometry
imaging
(DESI-MSI)
fresh-frozen
excision
specimens,
including
paired
sections,
obtained
lumpectomy
73
patients.
The
results
demonstrate
that
posits
sharp
metabolic
upregulation
diacylglycerol,
lipid
messenger
activates
protein
kinase
C
promoting
growth.
identified
four
specific
sn-1,2-diacylglycerols
outperformed
all
other
lipids
simultaneously
mapped
by
positive
ion
mode
DESI-MSI
distinguishing
cancers
specimens.
This
result
contrasts
several
previous
studies
probed
dysregulation
glycerophospholipids,
sphingolipids,
free
fatty
acids
diagnoses.
A
random
forest-based
supervised
machine
learning
considering
detected
signals
also
deciphered
highest
diagnostic
potential
these
diacylglycerols
top
importance
scores.
led
us
to
construct
classifier
100%
overall
prediction
accuracy
using
parsimonious
set
diacylglycerol
biomarkers
only.
pathway
analysis
suggested
increased
catabolism
phosphatidylcholine
contributes
overexpression.
These
open
up
opportunities
mapping
signaling
context
novel
therapeutic
developments,
assessment
margin
status.
Biomedicine & Pharmacotherapy,
Journal Year:
2023,
Volume and Issue:
170, P. 116021 - 116021
Published: Dec. 20, 2023
Hepatocellular
carcinoma
(HCC)
poses
a
heavy
burden
on
human
health
with
high
morbidity
and
mortality
rates.
Systematic
therapy
is
crucial
for
advanced
mid-term
HCC,
but
faces
significant
challenge
from
therapeutic
resistance,
weakening
drug
effectiveness.
Metabolic
reprogramming
has
gained
attention
as
key
contributor
to
resistance.
Cells
change
their
metabolism
meet
energy
demands,
adapt
growth
needs,
or
resist
environmental
pressures.
Understanding
enzyme
expression
patterns
metabolic
pathway
interactions
vital
comprehend
HCC
occurrence,
development,
treatment
Exploring
pathways
essential
identify
breakthrough
points
treatment.
Targeting
enzymes
inhibitors
addressing
these
points.
Inhibitors,
combined
systemic
drugs,
can
alleviate
prolong
overall
survival
offer
patients
chance
radical
resection.
Advances
in
research
methods,
genomics
metabolomics
cells
organoids,
help
build
the
network.
Recent
progress
biomaterials
nanotechnology
impacts
targeting
effectiveness,
providing
new
solutions
This
review
focuses
changes,
interactions,
inhibitors,
delivery
reprogramming,
offering
valuable
references
approaches
ACS Chemical Neuroscience,
Journal Year:
2024,
Volume and Issue:
15(5), P. 983 - 993
Published: Feb. 14, 2024
Temporal
lobe
epilepsy
(TLE)
is
one
of
the
most
common
neurological
disorders,
often
accompanied
by
hippocampal
sclerosis.
The
molecular
processes
underlying
this
epileptogenesis
are
poorly
understood.
To
examine
lipid
profile,
39
fresh
frozen
sections
human
hippocampus
obtained
from
surgery
for
TLE
(n
=
14)
and
non-TLE
(control
group;
n
25)
patients
were
subjected
to
desorption
electrospray
ionization
mass
spectrometry
imaging
in
negative
ion
mode.
In
contrast
our
earlier
report
that
showed
striking
downregulation
positively
charged
phospholipids
(e.g.,
phosphatidylcholine
phosphatidylethanolamine,
etc.)
hippocampus,
study
finds
complementary
upregulation
negatively
phospholipids,
notably,
phosphatidylserine
phosphatidylglycerol.
This
result
may
point
an
active
metabolic
pool
produces
these
anionic
at
expense
cationic
phospholipids.
shift
could
be
due
dysregulation
Kennedy
CDP-DG
pathways
responsible
biosynthesizing
lipids.
Thus,
further
opens
up
opportunities
investigate
hallmarks
potential
therapeutic
targets
TLE.
Annual Review of Analytical Chemistry,
Journal Year:
2023,
Volume and Issue:
16(1), P. 1 - 25
Published: March 21, 2023
Offering
superb
speed,
chemical
specificity,
and
analytical
sensitivity,
direct
mass
spectrometry
(MS)
technologies
are
highly
amenable
for
the
molecular
analysis
of
complex
tissues
to
aid
in
disease
characterization
help
identify
new
diagnostic,
prognostic,
predictive
markers.
By
enabling
detection
clinically
actionable
profiles
from
cells,
MS
have
potential
guide
treatment
decisions
transform
sample
within
clinical
workflows.
In
this
review,
we
highlight
recent
health-related
developments
applications
that
exhibit
tangible
accelerate
research
diagnosis,
including
oncological
neurodegenerative
diseases
microbial
infections.
We
focus
primarily
on
employ
tissue
analysis,
imaging
map
spatial
distributions
molecules
situ
as
well
handheld
devices
rapid
vivo
ex
analysis.
Journal of Proteome Research,
Journal Year:
2023,
Volume and Issue:
22(3), P. 967 - 976
Published: Jan. 25, 2023
Nephrotic
syndrome
(NS)
is
classified
based
on
morphological
changes
of
glomeruli
in
biopsied
kidney
tissues
evaluated
by
time-consuming
microscopy
methods.
In
contrast,
we
employed
desorption
electrospray
ionization
mass
spectrometry
(DESI-MS)
directly
renal
biopsy
specimens
obtained
from
37
NS
patients
to
rapidly
differentiate
lipid
profiles
three
prevalent
forms
NS:
IgA
nephropathy
(n
=
9),
membranous
glomerulonephritis
7),
and
lupus
nephritis
8),
along
with
other
types
glomerular
diseases
13).
As
noted
molecular
heterogeneity
regularly
spaced
tissue
regions,
multiple
sections
each
specimen
were
collected,
providing
a
total
973
samples
for
investigation.
Using
multivariate
analysis,
report
differential
expressions
glycerophospholipids,
sphingolipids,
glycerolipids
among
the
above
four
classes
kidneys,
which
otherwise
overlooked
several
past
studies
correlating
abnormalities
diseases.
We
developed
machine
learning
(ML)
models
top
100
features
using
support
vector
machine,
enabled
us
discriminate
concerned
100%
overall
accuracy
training,
validation,
holdout
test
set.
This
DESI-MS/ML-based
analysis
can
be
completed
few
minutes,
sharp
contrast
daylong
procedure
followed
conventional
histopathology
NS.