Frontiers in Pharmacology,
Journal Year:
2024,
Volume and Issue:
15
Published: June 19, 2024
Hederagenin
(HG)
is
a
natural
pentacyclic
triterpenoid
that
can
be
isolated
from
various
medicinal
herbs.
By
modifying
the
structure
of
HG,
multiple
derivatives
with
superior
biological
activities
and
safety
profiles
have
been
designed
synthesized.
Accumulating
evidence
has
demonstrated
HG
its
display
pharmacological
against
cancers,
inflammatory
diseases,
infectious
metabolic
fibrotic
cerebrovascular
neurodegenerative
depression.
Previous
studies
confirmed
combat
cancer
by
exerting
cytotoxicity,
inhibiting
proliferation,
inducing
apoptosis,
modulating
autophagy,
reversing
chemotherapy
resistance
in
cells,
action
targets
involved
mainly
include
STAT3,
Aurora
B,
KIF7,
PI3K/AKT,
NF-κB,
Nrf2/ARE,
Drp1,
P-gp.
In
addition,
antagonize
inflammation
through
production
release
pro-inflammatory
cytokines
mediators
regulating
inflammation-related
pathways
targets,
such
as
MAPK,
JAK2/STAT3,
Keap1-Nrf2/HO-1,
LncRNA
A33/Axin2/β-catenin.
Moreover,
anti-pathogen,
anti-metabolic
disorder,
anti-fibrosis,
neuroprotection,
anti-depression
mechanisms
partially
elucidated.
The
diverse
properties
hold
significant
implications
for
future
research
development
new
drugs
derived
which
lead
to
improved
effectiveness
profiles.
Journal of the American Society for Mass Spectrometry,
Journal Year:
2024,
Volume and Issue:
35(4), P. 663 - 673
Published: March 6, 2024
For
the
simultaneous
determination
of
monoamine
neurotransmitters
(NTs)
like
dopamine,
serotonin,
noradrenaline,
and
epinephrine,
their
metabolites
(metanephrine,
normetanephrine,
3-methoxytyramine,
vanillylmandelic
acid,
3,4-dihydroxyphenylacetic
homovanillic
5-hydroxyindoleacetic
acid),
a
robust
liquid
chromatography
method
coupled
with
tandem
mass
spectrometry
(LC–MS/MS)
was
introduced
as
analytical
method.
This
proved
to
be
accurate
for
measurement
amounts
11
NTs
in
biological
samples.
The
more
efficient
better
than
previously
reported
terms
precision,
recovery,
sample
requirement,
extraction
procedure.
requires
only
100
μL
blood
200
urine,
procedure
acetonitrile
precipitation,
filtration,
drying,
reconstitution
water.
separation
all
analytes
performed
on
an
C18
column
(4.6
mm
×
150
1.8
μm).
A
10
min
gradient
elution
program
mobile
phase
consisting
(0.2%
formic
acid
water)
B
(methanol)
used.
positive
ionization
mode
used
detection
multiple
reaction
monitoring
(MRM).
proposed
validated
internal
standard
yielded
lower
limits
quantification
ranges
0.0182–0.0797
ng/mL
0.0553–0.2415
ng/mL,
respectively,
good
linearity
(R2)
between
0.9959
0.9994.
recoveries
ranged
from
73.37%
116.63%
80.9%
115.33%
urine.
metabolites,
intra-
interday
%
CV
were
0.24–9.36
0.85–9.67,
respectively.
developed
LC–MS/MS
successfully
trace
endogenous
compounds
human
urine
ACS Sensors,
Journal Year:
2024,
Volume and Issue:
9(2), P. 870 - 882
Published: Feb. 14, 2024
A
decrease
in
the
levels
of
dopamine
(DA)─a
key
catecholamine
biomarker
for
major
depressive
disorder─highlights
need
quantitative
analysis
biological
fluids
to
aid
early
diagnosis
diverse
neuropsychiatric
disorders.
This
study
developed
silicon
nanowires
enriched
with
silver
nanoparticles
serve
as
a
surface-enhanced
Raman
scattering
(SERS)
substrate
enable
precise
and
sensitive
quantification
blood
plasma
DA
humans.
The
silver-enriched
(SiNWs@Ag)
yielded
flower-like
assemblies
densely
populated
SERS
"hot
spots,"
allowing
detection.
By
correlating
concentration
intensity
at
1156
cm–1,
treatment-naïve
patients
depression
(n
=
18)
were
2
orders
magnitude
lower
than
those
healthy
controls
(6.56
×
10–10
M
vs
1.43
10–8
M).
concentrations
differed
significantly
between
two
groups
(two-tailed
p
5.77×10-7),
highlighting
distinct
demarcation
controls.
Furthermore,
SiNWs@Ag
effectively
differentiated
norepinephrine
(NE)
mixtures
nanomolar
levels,
demonstrating
its
selective
detection
capability.
represents
first
report
on
human
samples
from
individuals
using
an
technique,
emphasizing
potential
clinical
utility
evaluation
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(17), P. 9339 - 9339
Published: Aug. 28, 2024
Cellular
metabolism
is
crucial
for
various
physiological
processes,
with
folate-dependent
one-carbon
(1C)
playing
a
pivotal
role.
Folate,
B
vitamin,
key
cofactor
in
this
pathway,
supporting
DNA
synthesis,
methylation
and
antioxidant
defenses.
In
dividing
cells,
folate
facilitates
nucleotide
biosynthesis,
ensuring
genomic
stability
preventing
carcinogenesis.
Additionally,
neurodevelopment,
essential
neural
tube
closure
central
nervous
system
formation.
Thus,
dysregulation
of
can
contribute
to
pathologies
such
as
cancer,
severe
birth
defects,
neurodegenerative
diseases.
Epidemiological
evidence
highlights
folate's
impact
on
disease
risk
its
potential
therapeutic
target.
antifolate
drugs
that
inhibit
enzymes
1C
strategies
targeting
receptors
are
current
options.
However,
cancer
complex,
varying
among
types
dietary
contexts.
conditions,
including
Alzheimer's
Parkinson's
diseases,
deficiency
exacerbates
cognitive
decline
through
elevated
homocysteine
levels,
contributing
neuronal
damage.
Clinical
trials
folic
acid
supplementation
show
mixed
outcomes,
underscoring
the
complexities
neuroprotective
effects.
This
review
integrates
knowledge
neurodegeneration,
exploring
molecular
mechanisms,
clinical
implications,
strategies,
which
provide
information
advancing
treatments.
Measurement Science and Technology,
Journal Year:
2024,
Volume and Issue:
35(8), P. 086108 - 086108
Published: April 25, 2024
Abstract
This
article
proposes
a
method
based
on
multi-scale
expansion
of
residual
neural
networks
(ResNets)
to
address
challenges
in
the
operation
rotating
components,
such
as
bearings
and
gears,
under
complex
conditions
where
they
are
often
affected
by
environmental
noise.
interference
leads
weaker
fault
characteristics,
making
feature
selection
difficult
increasing
presence
extraneous
information
features.
To
tackle
this
issue,
proposed
first
employs
ResNet
extract
features
from
vibration
signals
machinery.
The
decomposes
signal
into
multiple
sub-signals
different
scales,
extracting
local
at
each
scale.
It
then
uses
connections
combine
these
obtain
global
representation.
Furthermore,
introduces
construction
maximum
mean
discrepancy
(MMD)
minimization
entropy
boundaries
adapt
differences
between
two
domains.
utilizes
kernel
functions
calculate
distances
data
scales
combines
comprehensive
measure.
By
employing
MMD
boundary
approach,
can
more
accurately
determine
whether
belong
same
category,
thereby
improving
diagnostic
accuracy
robustness.
Experimental
results
demonstrate
effectiveness
unsupervised
cross-domain
diagnosis
tasks.
Future
work
will
focus
further
optimizing
architecture
ResNets,
enhancing
extraction
capabilities,
exploring
advanced
augmentation
methods
improve
model’s
generalization
performance.
Brainbridge,
Journal Year:
2024,
Volume and Issue:
1(1), P. 1 - 26
Published: May 30, 2024
Neuroimaging
techniques
have
significantly
advanced
our
understanding
of
emotional
regulation
by
elucidating
the
neural
mechanisms
involved.
This
review
synthesizes
findings
across
multiple
modalities—functional
Magnetic
Resonance
Imaging
(fMRI),
Electroencephalography
(EEG),
Magnetoencephalography
(MEG),
Positron
Emission
Tomography
(PET),
and
Spectroscopy
(MRS)—to
highlight
key
insights
into
processing.
The
prefrontal
cortex
(PFC),
amygdala,
hippocampus,
insula
emerge
as
critical
brain
regions
in
regulating
emotions.
fMRI
studies
demonstrate
increased
PFC
activity
decreased
amygdala
responses
during
effective
emotion
regulation,
indicating
top-down
control
mechanisms.
EEG
MEG
provide
temporal
dynamics
responses,
capturing
rapid
changes
tasks.
PET
MRS
reveal
neurochemical
basis
emphasizing
roles
neurotransmitters
like
serotonin
dopamine.
Integration
multimodal
approaches,
such
fMRI-EEG
fMRI-PET,
enhances
combining
spatial,
temporal,
specificity.
Challenges
include
methodological
limitations
need
for
diverse
participant
samples
to
improve
generalizability.
Future
research
should
focus
on
improving
spatial
resolution,
adopting
longitudinal
ecologically
valid
designs,
fostering
interdisciplinary
collaborations.
These
advancements
hold
promise
developing
personalized
interventions
treatments
disorders
leveraging
neuroimaging
biomarkers
underpinnings
regulation.
Cells,
Journal Year:
2023,
Volume and Issue:
12(13), P. 1767 - 1767
Published: July 3, 2023
Depression
is
a
common
neuropsychiatric
disorder
with
long-term
recurrent
depressed
mood,
pain
and
despair,
pessimism
anxiety,
even
suicidal
tendencies
as
the
main
symptoms.
usually
induces
or
aggravates
development
of
other
related
diseases,
such
sleep
disorders
endocrine
disorders.
In
today's
society,
incidence
depression
increasing
worldwide,
its
pathogenesis
complex
generally
believed
to
be
genetic,
psychological,
environmental,
biological
factors.
Current
studies
have
shown
key
role
glial
cells
in
depression,
it
noteworthy
that
some
recent
evidence
suggests
may
closely
viral
infections,
SARS-CoV-2,
BoDV-1,
ZIKV,
HIV,
HHV6,
which
infect
organism
cause
degree
cells,
astrocytes,
oligodendrocytes,
microglia.
This
can
affect
transmission
proteins,
neurotransmitters,
cytokines,
turn
leads
neuroinflammation
depression.
Based
on
close
relationship
between
viruses
this
paper
provides
an
in-depth
analysis
new
mechanism
virus-induced
expected
provide
perspective
idea
for
diagnosis
future.
Journal of Separation Science,
Journal Year:
2023,
Volume and Issue:
47(1)
Published: Dec. 8, 2023
Herein,
a
magnetic
borate‐functionalized
MXene
composite
with
multiple
boronic
affinity
sites
was
fabricated
by
embedding
Fe
3
O
4
nanoparticles
4‐formylphenylboronic
acid
functionalized
Ti
C
2
T
x
nanosheets
and
served
as
sorbent
for
the
simultaneous
extraction
of
catecholamines
(CAs)
in
urine
samples.
The
morphology
structure
materials
were
investigated
using
scanning
microscopy,
vibrating
sample
magnetometer,
X‐ray
photoelectron
spectrometer,
diffraction.
introduction
polyethyleneimine
can
amplify
bonded
groups,
thereby
effectively
improving
adsorption
capacities
CAs
based
on
interactions
affinity,
hydrogen
bonding,
metal
coordination.
performance
kinetics
isotherms
models,
main
parameters
that
influence
efficiency
optimized.
Under
most
favorable
solid‐phase
condition,
sensitive
method
analysis
samples
developed
combining
conditions
high‐performance
liquid
chromatography
detection.
findings
illustrated
proposed
approach
possessed
wide
linearity
range
0.05–250
ng/mL
an
acceptable
correlation
coefficient
(R
≥
0.9984)
detection
limits
0.010–0.015
target
CAs.
research
not
only
provides
notable
but
also
offers
effective
feasible
measure
biological