Multi-omics analysis of druggable genes to facilitate Alzheimer's disease therapy: A multi-cohort machine learning study
Jichang Hu,
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Yong Luo,
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Xiaochuan Wang
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et al.
The Journal of Prevention of Alzheimer s Disease,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100128 - 100128
Published: March 1, 2025
The
swift
rise
in
the
prevalence
of
Alzheimer's
disease
(AD)
alongside
its
significant
societal
and
economic
impact
has
created
a
pressing
demand
for
effective
interventions
treatments.
However,
there
are
no
available
treatments
that
can
modify
progression
disease.
Eight
AD
brain
tissues
datasets
three
blood
were
obtained.
Consensus
clustering
was
utilized
as
method
to
discern
various
subtypes
AD.
Then,
module
genes
screened
using
weighted
correlation
network
analysis
(WGCNA).
Furthermore,
screening
hub
conducted
through
machine-learning
analyses.
Finally,
A
comprehensive
systematic
approach
druggable
genome-wide
Mendelian
randomization
(MR)
conducted.
Two
subclasses
identified,
namely
cluster.A
cluster.B.
levels
gamma
secretase
activity,
beta
amyloid-beta
42
found
be
significantly
elevated
patients
classified
within
cluster
when
compared
those
B.
by
utilizing
differentially
expressed
shared
among
these
clusters,
along
with
identifying
applying
WGCNA
subtypes,
we
able
develop
scoring
system
referred
DG.score.
This
demonstrated
remarkable
predictive
capability
evaluated
against
multiple
datasets.
Besides,
total
30
distinct
may
serve
potential
drug
targets
identified
across
at
least
one
investigated,
whether
derived
from
samples
or
Among
genes,
specific
candidates
considered
(LIMK2,
MAPK8,
NDUFV2)
expression
both
tissues.
our
research
also
revealed
association
between
LIMK2
concentrations
CSF
Aβ
(OR
1.526
(1.155-2.018)),
p-tau
1.106
(1.024-01.196)),
hippocampal
size
0.831
(0.702-0.948)).
study
provides
notable
advancement
existing
literature
offering
genetic
evidence
underscores
therapeutic
advantages
focusing
on
gene
treatment
insight
not
only
contributes
understanding
but
guides
future
discovery
efforts.
Language: Английский
Sequential Proteomic Analysis Reveals the Key APOE4‐Induced Pathological and Molecular Features at the Presymptomatic Stage in Alzheimer's Disease Mice
Pengju Wei,
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Kaihua Lin,
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Xuhui Chen
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et al.
CNS Neuroscience & Therapeutics,
Journal Year:
2025,
Volume and Issue:
31(3)
Published: March 1, 2025
Alzheimer's
disease
(AD)
involves
a
prolonged
presymptomatic
or
preclinical
stage
with
subtle
pathological
changes.
Apolipoprotein
E4
(APOE4)
is
significant
genetic
risk
factor
for
AD,
yet
its
specific
role
at
the
not
fully
understood.
This
study
aimed
to
elucidate
cellular
and
molecular
effects
of
APOE4
compared
APOE3
on
AD
progression
during
stage.
We
generated
5xFAD
mice
carrying
human
their
non-AD
controls.
Behavioral
tests,
immunostaining,
quantitative
proteomics
phosphoproteomics,
Golgi
staining,
Western
blotting
were
conducted
3
10
months
age,
respectively.
Cell
culture
experiments
performed
assess
APOE4's
direct
impact
neuronal
mitochondrial
function.
significantly
increased
β-amyloid
(Aβ)
deposition
microglial
activation
in
stage,
without
aggravating
blood-brain
barrier
disruption.
Proteomic
biochemical
analysis
revealed
strong
features
synaptic
degeneration
dysfunction
associated
APOE4.
Notably,
promoted
fusion
mitophagy
while
inhibiting
fission,
leading
impaired
energy
supply
reactive
oxygen
species.
Our
findings
indicate
that
accelerates
pathologies
by
exacerbating
Aβ
deposition,
neuroinflammation,
degeneration.
The
highlights
as
critical
mediator
APOE4-induced
progression,
providing
potential
targets
early
intervention.
Language: Английский
Cognitive Frailty: A Comprehensive Clinical Paradigm Beyond Cognitive Decline
Ageing Research Reviews,
Journal Year:
2025,
Volume and Issue:
unknown, P. 102738 - 102738
Published: March 1, 2025
Language: Английский
Lipid Metabolism and Statin Therapy in Neurodegenerative Diseases: An Endocrine View
Antonella Di Sarno,
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Fiammetta Romano,
No information about this author
R Arianna
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et al.
Metabolites,
Journal Year:
2025,
Volume and Issue:
15(4), P. 282 - 282
Published: April 18, 2025
Background/aim:
A
growing
body
of
evidence
suggests
a
link
between
dyslipidemias
and
neurodegenerative
diseases,
highlighting
the
crucial
role
lipid
metabolism
in
health
central
nervous
system.
The
aim
our
work
was
to
provide
an
update
on
this
topic,
with
focus
clinical
practice
from
endocrinological
point
view.
Endocrinologists,
being
experts
management
dyslipidemias,
can
play
key
prevention
treatment
conditions,
through
precocious
effective
profile
optimization.
Methods:
literature
scanned
identify
trials
correlation
studies
association
dyslipidemia,
statin
therapy,
following
diseases:
Alzheimer’s
disease
(AD),
Parkisons’s
(PD),
Multiple
sclerosis
(MS),
Amyotrophic
lateral
(ALS).
Results:
Impaired
homeostasis,
such
as
that
frequently
observed
patients
affected
by
obesity
diabetes,
is
related
AD,
PD,
other
cognitive
deficits
aging.
AD
dementias
are
now
real
priority
problem.
In
United
States,
there
approximately
7
million
subjects
aged
65
older
living
dementias,
number
projected
grow
12
coming
decades.
Lipid-lowering
therapy
statins
strategy
reducing
serum
low-density
lipoprotein
cholesterol
normal
range
concentrations
and,
therefore,
cardiovascular
risk;
moreover,
have
been
reported
positive
effect
diseases.
Conclusions:
Several
pieces
research
found
inconsistent
information
review.
There
no
use
ALS
incidence.
More
has
emerged
regarding
AD/PD.
However,
further
large-scale
prospective
randomized
control
required
properly
understand
issue.
Language: Английский
Research models to study lewy body dementia
Molecular Neurodegeneration,
Journal Year:
2025,
Volume and Issue:
20(1)
Published: April 23, 2025
Abstract
Lewy
body
dementia
(LBD)
encompasses
neurodegenerative
dementias
characterized
by
cognitive
fluctuations,
visual
hallucinations,
and
parkinsonism.
Clinical
differentiation
of
LBD
from
Alzheimer’s
disease
(AD)
remains
complex
due
to
symptom
overlap,
yet
approximately
25%
cases
are
diagnosed
as
postmortem,
primarily
identified
the
presence
α-synuclein
aggregates,
tau
tangles,
amyloid
plaques.
These
pathological
features
position
a
comorbid
condition
both
Parkinson’s
(PD)
AD,
with
over
50%
exhibiting
co-pathologies.
LBD’s
mixed
pathology
complicates
development
comprehensive
models
that
reflect
full
spectrum
etiological,
clinical,
features.
While
existing
animal
cellular
have
facilitated
significant
discoveries
in
PD
AD
research,
they
lack
specificity
capturing
unique
pathogenic
mechanisms,
limiting
exploration
therapeutic
avenues
for
specifically.
This
review
assesses
widely
used
terms
their
relevance
LBD,
particularly
focusing
on
ability
replicate
human
assess
treatment
efficacy.
Furthermore,
we
discuss
potential
modifications
these
advance
understanding
mechanisms
propose
innovative
research
directions
aimed
at
developing
enhanced
face,
predictive,
construct
validity.
Language: Английский