Frontiers in Genetics,
Journal Year:
2023,
Volume and Issue:
14
Published: Oct. 6, 2023
Background:
Alzheimer’s
disease
(AD)
is
a
complex
disorder,
and
its
risk
influenced
by
multiple
genetic
environmental
factors.
In
this
study,
an
AD
gene
prediction
framework
based
on
spatial
temporal
features
of
expression
data
(STGE)
was
proposed.
Methods:
We
proposed
data.
The
providers
different
tissues
ages
were
used
as
model
features.
Human
genes
classified
or
non-risk
sets
information
extracted
from
relevant
databases.
Support
vector
machine
(SVM)
models
constructed
to
capture
the
patterns
believed
contribute
AD.
Results:
recursive
feature
elimination
(RFE)
method
utilized
for
selection.
Data
64
tissue-age
obtained
before
selection,
number
reduced
19
after
RFE
performed.
SVM
built
evaluated
using
selected
full
area
under
curve
(AUC)
values
(0.740
[0.690–0.790])
(0.730
[0.678–0.769])
very
similar.
Fifteen
predicted
be
with
probability
greater
than
90%
obtained.
Conclusion:
newly
performed
comparably
previous
methods
protein-protein
interaction
(PPI)
network
properties.
A
list
15
candidate
also
generated
provide
support
further
studies
etiology
Aging Cell,
Journal Year:
2023,
Volume and Issue:
22(6)
Published: March 8, 2023
Abstract
Ferroptosis
is
an
iron‐dependent
cell
death
that
has
been
found
to
aggravate
the
progression
of
osteoarthritis
(OA)
and
gut
microbiota‐
OA
axis
refers
bidirectional
information
network
between
microbiota
OA,
which
may
provide
a
new
way
protect
OA.
However,
role
microbiota‐derived
metabolites
in
ferroptosis‐relative
remains
unclear.
The
objective
this
study
was
analyze
protective
effect
its
metabolite
capsiate
(CAT)
on
vivo
vitro
experiments.
From
June
2021
February
2022,
78
patients
were
evaluated
retrospectively
divided
into
two
groups:
health
group
(
n
=
39)
40).
Iron
oxidative
stress
indicators
determined
peripheral
blood
samples.
And
then
experiments,
surgically
destabilized
medial
meniscus
(DMM)
mice
model
established
treated
with
CAT
or
Ferric
Inhibitor‐1
(Fer‐1).
Solute
Carrier
Family
2
Member
1
(SLC2A1)
short
hairpin
RNA
(shRNA)
utilized
inhibit
SLC2A1
expression.
Serum
iron
increased
significantly
but
total
binding
capacity
decreased
than
healthy
people
p
<
0.0001).
least
absolute
shrinkage
selection
operator
clinical
prediction
suggested
serum
iron,
capacity,
transferrin,
superoxide
dismutase
all
independent
predictors
0.001).
Bioinformatics
results
SLC2A1,
Metastasis‐Associated
Lung
Adenocarcinoma
Transcript
(MALAT1),
HIF‐1α
(Hypoxia
Inducible
Factor
Alpha)‐related
signaling
pathways
play
important
homeostasis
In
addition,
16s
sequencing
untargeted
metabolomics
used
find
negatively
correlated
Osteoarthritis
Research
Society
International
(OARSI)
scores
for
chondrogenic
degeneration
0.0017).
Moreover,
reduced
ferroptosis‐dependent
vitro.
against
could
be
eliminated
by
silencing
SLC2A1.
upregulated
levels
DMM
group.
HIF‐1α,
MALAT1,
apoptosis
after
knockout
chondrocyte
cells
Finally,
downregulation
expression
Adeno‐associated
Virus
(AAV)
‐SLC2A1
shRNA
improves
vivo.
Our
findings
indicated
inhibited
HIF‐1a
activating
Ageing Research Reviews,
Journal Year:
2023,
Volume and Issue:
91, P. 102035 - 102035
Published: Aug. 23, 2023
Ferroptosis
is
an
iron-
and
lipid
peroxidation
(LPO)-mediated
programmed
cell
death
type.
Recently,
mounting
evidence
has
indicated
the
involvement
of
ferroptosis
in
neurodegenerative
diseases,
especially
Alzheimer's
disease
(AD),
Parkinson's
(PD),
multiple
sclerosis
(MS),
amyotrophic
lateral
(ALS),
Huntington's
(HD),
so
on.
Treating
presents
opportunities
as
well
challenges
for
diseases.
This
review
provides
a
comprehensive
overview
underlying
mechanisms
that
contribute
to
occurrence
ferroptosis,
their
implications
pathogenesis
advancement
major
disorders.
Meanwhile,
we
summarize
interaction
between
other
types
diseases
contribution
corresponding
drug
development.
In
addition,
specifically
recent
advances
developing
therapeutic
means
targeting
these
which
may
guide
future
approaches
effective
management
devastating
medical
conditions.
Cell Biology and Toxicology,
Journal Year:
2024,
Volume and Issue:
40(1)
Published: Feb. 2, 2024
Abstract
Background
Stroke
is
a
major
medical
problem,
and
novel
therapeutic
targets
are
urgently
needed.
This
study
investigates
the
protective
role
potential
mechanisms
of
N6-methyladenosine
(m6A)
RNA
methyltransferase
METTL3
against
cerebral
injury
resulting
from
insufficient
blood
flow.
Methods
In
this
study,
we
constructed
mouse
MCAO
models
HT-22
cell
OGD/R
to
mimic
ischemic
stroke-induced
brain
neuronal
damage.
We
generated
NEDD4L
knockout
overexpression
validated
effects
using
infarct
volume,
edema,
neurologic
scoring.
performed
qRT-PCR,
western
blotting,
co-immunoprecipitation
assess
influence
on
ferroptosis
markers
TFRC
expression.
verified
effect
ubiquitination
by
detecting
half-life
ubiquitination.
Finally,
impact
mRNA
stability
outcomes
in
both
vitro
vivo
experimental
models.
Result
find
expression
downregulated
Overexpressing
inhibits
iron
carrier
protein
upregulating
E3
ubiquitin
ligase
NEDD4L,
thereby
alleviating
oxidative
damage
protect
injury.
Mechanistic
studies
show
can
methylate
stabilize
mRNA,
enhancing
As
downstream
effector,
ubiquitinates
degrades
TFRC,
reducing
accumulation
ferroptosis.
Conclusion
summary,
uncover
METTL3-NEDD4L-TFRC
axis
critical
for
inhibiting
post-ischemic
Enhancing
pathway
may
serve
as
an
effective
strategy
stroke
therapy.
lays
theoretical
foundation
developing
m6A-related
therapies
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Feb. 15, 2024
Abstract
Studies
have
shown
that
a
series
of
molecular
events
caused
by
oxidative
stress
is
associated
with
ferroptosis
and
oxidation
after
ischemic
stroke
(IS).
Differential
analysis
was
performed
to
identify
differentially
expressed
mRNA
(DEmRNAs)
between
IS
control
groups.
Critical
module
genes
were
identified
using
weighted
gene
co-expression
network
(WGCNA).
DEmRNAs,
critical
genes,
stress-related
(ORGs),
ferroptosis-related
(FRGs)
crossed
screen
for
intersection
mRNAs.
Candidate
mRNAs
screened
based
on
the
protein–protein
interaction
(PPI)
MCODE
plug-in.
Biomarkers
two
types
machine
learning
algorithms,
obtained.
Functional
items
related
pathways
biomarkers
set
enrichment
(GSEA).
Finally,
single-sample
GSEA
(ssGSEA)
Wilcoxon
tests
used
differential
immune
cells.
An
miRNA-mRNA-TF
created.
Quantitative
real-time
polymerase
chain
reaction
(qRT-PCR)
verify
expression
levels
in
There
8287
DE
The
turquoise
selected
as
IS.
Thirty
intersecting
overlaps.
Seventeen
candidate
also
identified.
Four
(CDKN1A,
GPX4,
PRDX1,
PRDX6)
machine-learning
algorithms.
results
indicated
steroid
biosynthesis.
Nine
cells
(activated
B
neutrophils)
markedly
different
We
3747
regulatory
pairs
network,
including
hsa-miR-4469-CDKN1A-BACH2
hsa-miR-188-3p-GPX4-ATF2.
CDKN1A,
PRDX6
upregulated
samples
compared
samples.
This
study
suggests
four
are
significantly
provides
new
reference
diagnosis
treatment
Frontiers in Pharmacology,
Journal Year:
2022,
Volume and Issue:
13
Published: Sept. 16, 2022
Alzheimer’s
disease
(AD)
is
a
degenerative
of
the
central
nervous
system
that
most
common
type
senile
dementia.
Ferroptosis
new
iron-dependent
programmed
cell
death
identified
in
recent
years
different
from
other
forms.
induced
by
excessive
accumulation
lipid
peroxides
and
reactive
oxygen
species
(ROS)
cells.
In
years,
it
has
been
found
ferroptosis
plays
an
important
role
pathological
process
AD.
Iron
dyshomeostasis
contribute
to
plaques
(SP)
deposition
neurofibrillary
tangles
(NFTs).
metabolism
imbalance
brain
dysfunction
endogenous
antioxidant
systems
including
Xc-
glutathione
peroxidase
(GPX)
are
closely
related
etiopathogenesis
Dysfunction
nuclear
receptor
coactivator
4
(NCOA4)-mediated
ferritinophagy
can
accelerates
addition,
NRF2,
through
regulating
expression
considerable
number
genes
ferroptosis,
iron
metabolism,
development
Here,
we
review
potential
interaction
between
AD
major
pathways
We
also
active
natural
synthetic
compounds
such
as
chelators,
peroxidation
inhibitors
antioxidants
available
treat
alleviating
preventing
mice
models
provide
valuable
information
for
future
treatment
prevention
Antioxidants and Redox Signaling,
Journal Year:
2023,
Volume and Issue:
39(1-3), P. 141 - 161
Published: May 22, 2023
Significance:
The
lack
of
disease-modifying
treatments
for
Alzheimer’s
disease
(AD)
that
substantially
alter
the
course
highlights
need
new
biological
models
progression
and
neurodegeneration.
Oxidation
macromolecules
within
brain,
including
lipids,
proteins,
DNA,
is
believed
to
contribute
AD
pathophysiology,
concomitant
with
dysregulation
redox-active
metals,
such
as
iron.
Creating
a
unified
model
pathogenesis
underpinned
by
iron
redox
in
could
lead
therapeutic
targets
potential.
Recent
Advances:
Ferroptosis,
which
was
named
2012,
necrotic
form
regulated
cell
death
depends
on
both
lipid
peroxidation.
While
it
distinct
from
other
types
death,
ferroptosis
regarded
being
mechanistically
synonymous
oxytosis.
paradigm
has
great
explanatory
potential
describing
how
neurons
degenerate
die
AD.
At
molecular
level,
executed
lethal
accumulation
phospholipid
hydroperoxides
generated
iron-dependent
peroxidation
polyunsaturated
fatty
acids,
while
major
defensive
protein
against
selenoenzyme,
glutathione
peroxidase
4
(GPX4).
An
expanding
network
protective
proteins
pathways
have
also
been
identified
complement
GPX4
protection
cells
ferroptosis,
central
role
emerging
nuclear
factor
erythroid
2-related
2
(NRF2).
Critical
Issues:
In
this
review,
we
provide
critical
overview
utility
NRF2
dysfunction
understanding
iron-
peroxide-associated
neurodegeneration
Future
Directions:
Finally,
discuss
providing
spectrum
targets.
Antioxid.
Redox
Signal.
39,
141–161.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 8, 2024
Abstract
Alzheimer’s
disease
(AD)
and
related
dementias
(ADRD)
is
a
complex
with
multiple
pathophysiological
drivers
that
determine
clinical
symptomology
progression.
These
diseases
develop
insidiously
over
time,
through
many
pathways
mechanisms
continue
to
have
huge
societal
impact
for
affected
individuals
their
families.
While
emerging
blood-based
biomarkers,
such
as
plasma
p-tau181
p-tau217,
accurately
detect
Alzheimer
neuropthology
are
associated
faster
cognitive
decline,
the
full
extension
of
proteomic
changes
in
ADRD
remains
unknown.
Earlier
detection
better
classification
different
subtypes
may
provide
opportunities
earlier,
more
targeted
interventions,
perhaps
higher
likelihood
successful
therapeutic
development.
In
this
study,
we
aim
leverage
unbiased
mass
spectrometry
proteomics
identify
novel,
biomarkers
decline.
1,786
samples
from
1,005
patients
were
collected
12
years
partcipants
Massachusetts
Disease
Research
Center
Longitudinal
Cohort
Study.
Patient
metadata
includes
demographics,
final
diagnoses,
dementia
rating
(CDR)
scores
taken
concurrently.
The
Proteograph
TM
Product
Suite
(Seer,
Inc.)
liquid-chromatography
mass-spectrometry
(LC-MS)
analysis
used
process
cohort
generate
data.
Data-independent
acquisition
(DIA)
results
yielded
36,259
peptides
4,007
protein
groups.
Linear
mixed
effects
models
revealed
138
differentially
abundant
proteins
between
AD
healthy
controls.
Machine
learning
diagnosis
identified
potential
candidate
including
MBP,
BGLAP,
APoD.
Cox
regression
created
association
progression
suggest
CLNS1A,
CRISPLD2,
GOLPH3
targets
further
investigation
biomarkers.
workflow
provided
deep,
coverage
proteome
at
speed
enabled
study
almost
1,800
samples,
which
largest,
conducted
date.
Frontiers in Genetics,
Journal Year:
2022,
Volume and Issue:
13
Published: Sept. 26, 2022
Objectives:
DFU
is
a
serious
chronic
disease
with
high
disability
and
fatality
rates,
yet
there
no
completely
effective
therapy.
While
ferroptosis
integrated
to
inflammation
infection,
its
involvement
in
still
unclear.
The
study
aimed
identify
ferroptosis-related
genes
DFU,
providing
potential
therapeutic
targets.
Methods:
In
the
GEO
database,
two
microarray
datasets
(GSE147890
GSE80178)
were
collected.
WGCNA
was
conducted
modular
most
involved
DFU.
Subsequently,
enrichment
analysis
PPI
performed.
To
yield
DFU-associated
ferroposis
genes,
retrieved
from
FerrDb
database
overlapped
genes.
Eventually,
an
optimal
prediction
model
created
by
combining
multiple
machine
learning
algorithms
(LASSO,
SVM-RFE,
Boruta,
XGBoost)
detect
closely
associated
accuracy
of
verified
utilizing
external
(GSE7014)
based
on
ROC
curves.
Results:
yielded
seven
modules
all,
1223
DFU-related
identified.
GO
revealed
that
inflammatory
response,
decidualization,
protein
binding
highly
enriched
terms.
These
module
also
ErbB
signaling,
IL-17
MAPK
growth
hormone
synthesis,
secretion
action,
tight
junction
KEGG
pathways.
Twenty-five
obtained
cross-linking
which
could
distinguish
patients
controls.
Ultimately,
well
established,
AUC
values
(0.79
LASSO,
0.80
SVM,
0.75
0.70
XGBoost).
MAFG
MAPK3
identified
as
ferroposis-genes
Furthermore,
dataset
(GSE29221)
validation
(AUC
=
0.81)
had
superior
than
0.62).
Conclusion:
As
related
ferroptosis-genes
may
be
employed
targets
for
patients.
Moreover,
MAPK3,
higher
accuracy,
more
biomarker
further
experimental
validation.
Frontiers in Neuroscience,
Journal Year:
2023,
Volume and Issue:
17
Published: May 4, 2023
Objective
To
investigate
the
mechanism
underlying
effects
of
berberine
(BBR)
in
treatment
Alzheimer’s
disease
(AD).
Methods
3
×
Tg
AD
mice
were
treated
with
BBR
for
months,
then
open
field
test
(OFT),
novel
object
recognition
(NOR)
and
Morris
water
maze
(MWM)
performed
to
assess
behavioral
performance.
Hematoxylin–eosin
(HE)
staining,
Nissl
staining
used
examine
histopathological
changes.
The
pharmacological
molecular
properties
obtained
from
TCMSP
database.
BBR-associated
targets
identified
using
PharmMapper
(PM),
comparative
toxicogenomics
database
(CTD),
DisGeNet
human
gene
(GeneCards).
Core
networks
PPI
network
functional
enrichment
analyses.
AutoDock
software
was
model
interaction
between
potential
targets.
Finally,
RT-qPCR,
western
blotting
validate
expression
core
Results
Behavioral
experiments,
HE
have
shown
that
can
improve
memory
task
performance
neuronal
damage
hippocampus
mice.
117
identified,
43
genes
downstream
analysis
combination
results
protein–protein
(PPI)
analysis.
2,230
biological
processes
(BP)
terms,
67
cell
components
(CC)
243
function
(MF)
terms
118
KEGG
identified.
ALB
,
EGFR
CASP3
five
PI3K-AKT
signaling
pathway
including
AKT1
HSP90AA1
SRC
HRAS
IGF1
selected
by
analysis,
validated
docking
RT-q
PCR
as
further
Akt1
mRNA
levels
significantly
decreased
increased
after
(
p
<
0.05).
Besides,
AKT
ERK
phosphorylation
group,
their
levels.
Conclusion
AD.
may
exert
a
neuroprotective
effect
modulating
pathways.