Exploring the neurodegenerative potential of per- and polyfluoroalkyl substances through an adverse outcome pathway network
The Science of The Total Environment,
Journal Year:
2025,
Volume and Issue:
969, P. 178972 - 178972
Published: Feb. 28, 2025
While
emerging
evidence
links
per-
and
polyfluoroalkyl
substances
(PFAS)
to
neurotoxicity,
their
potential
role
in
neurodegeneration
remains
poorly
understood.
Moreover,
existing
neurodegeneration-related
adverse
outcome
pathways
(AOPs)
available
on
AOP-Wiki
have
not
yet
been
integrated
into
a
unified
network.
To
address
these
gaps,
this
study
aims
develop
the
first
AOP
network
utilize
it
explore
possible
contributions
of
long-chain
legacy
PFAS
neurodegeneration,
specifically
concerning
Alzheimer's
Parkinson's
diseases.
A
total
74
AOPs
were
screened
from
AOP-Wiki,
which
13
met
eligibility
criteria
incorporated
We
analyzed
resulting
using
topological
parameters
such
as
in-degree,
out-degree,
eccentricity,
betweenness
centrality.
elucidate
mechanistic
exposure
neurodegenerative
pathways,
we
linking
key
events
(KEs)
within
The
results
highlighted
increased
intracellular
calcium
hub
with
highest
connectivity
followed
by
critical
KEs
neuronal
apoptosis,
oxidative
stress,
N-methyl-d-aspartate
receptor
(NMDA-R)
overactivation,
mitochondrial
dysfunction.
Consistent
toxicological
evidence,
indicate
that
may
adversely
affect
neurotransmitter
systems,
particularly
through
NMDA-R
leading
excitotoxicity.
This
result
dyshomeostasis,
dysfunction,
inflammatory-oxidative
cascades,
neuroinflammation,
cell
death.
By
providing
basis
for
understanding
PFAS,
offers
crucial
framework
assessing
risks
associated
chemicals
inform
future
regulatory
measures
public
health
strategies.
Further
experimental
validation
is
needed
confirm
animal
models
or
human
populations.
Language: Английский
Perfluoroalkyl and polyfluoroalkyl substances crossing the blood-joint barrier: Their occurrence and distribution in synovial fluid
Huiying Guo,
No information about this author
Zenghui Wu,
No information about this author
G. Shen
No information about this author
et al.
Journal of Hazardous Materials,
Journal Year:
2025,
Volume and Issue:
unknown, P. 138189 - 138189
Published: April 1, 2025
Language: Английский
Towards a Better Understanding of the Human Health Risk of Per- and Polyfluoroalkyl Substances Using Organoid Models
Haiyan Xu,
No information about this author
Jiahui Kang,
No information about this author
Xue Gao
No information about this author
et al.
Bioengineering,
Journal Year:
2025,
Volume and Issue:
12(4), P. 393 - 393
Published: April 7, 2025
The
ubiquitous
presence
of
per-
and
polyfluoroalkyl
substances
(PFAS)
in
the
environment
has
garnered
global
public
concern.
Epidemiological
studies
have
proved
that
exposure
to
PFAS
is
associated
with
human
health
risks.
Although
evidence
demonstrated
toxic
mechanisms
based
on
animal
models
traditional
cell
cultures,
their
limitations
inter-species
differences
lack
human-relevant
microenvironments
hinder
understanding
risks
from
exposure.
There
an
increasing
necessity
explore
alternative
methodologies
can
effectively
evaluate
Human
organoids
derived
stem
cells
accurately
mimic
sophisticated
multicellular
structures
native
organs,
providing
promising
for
toxicology
research.
Advanced
combined
innovative
technologies
are
expected
improve
breadth
depth
toxicity.
Language: Английский
Development of an Interpretable Machine Learning Model for Neurotoxicity Prediction of Environmentally Related Compounds
Yuxing Hao,
No information about this author
Zhihui Duan,
No information about this author
Lizheng Liu
No information about this author
et al.
Environmental Science & Technology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 30, 2025
The
rising
prevalence
of
nervous
system
disorders
has
become
a
significant
global
health
challenge,
with
environmental
pollutants
identified
as
key
contributors.
However,
the
large
number
related
compounds,
combined
low
efficiency
traditional
methods,
resulted
in
substantial
gaps
neurotoxicity
data.
In
this
study,
we
developed
robust
and
interpretable
prediction
model
using
high-quality
data
set.
To
identify
best
predictive
model,
three
molecular
representation
methods
(molecular
fingerprints,
descriptors,
graphs)
six
machine
learning
(ML)
algorithms
two
deep
(DL)
approaches
were
evaluated.
optimal
combining
fingerprints
descriptors
eXtreme
Gradient
Boosting
(XGBoost),
achieved
training
accuracy
0.93
an
area
under
curve
(AUC)
0.99,
outperforming
other
ML
DL
models,
while
maintaining
interpretability.
was
used
to
screen
1170
compounds
detected
human
blood,
predicting
1145
successfully.
Among
89
known
data,
0.74.
It
821
potentially
neurotoxic
including
36
high
detection
concentrations,
warranting
further
study.
An
online
platform
(http://www.envwind.site/tools.html)
expand
accessibility.
This
offers
efficient
tool
for
managing
risks.
Language: Английский
Sea Squirt-Derived Peptide WLP Mitigates OKA-Induced Alzheimer’s Disease-like Phenotypes in Human Cerebral Organoid
Qiqi Chen,
No information about this author
Zhiqiu Wang,
No information about this author
Wei Guo
No information about this author
et al.
Antioxidants,
Journal Year:
2025,
Volume and Issue:
14(5), P. 553 - 553
Published: May 7, 2025
Alzheimer’s
disease
(AD),
a
prevalent
neurodegenerative
disorder
in
the
elderly,
poses
significant
humanistic
and
economic
burdens
worldwide.
Previously,
we
identified
Trp-Leu-Pro
(WLP),
novel
antioxidant
peptide
derived
from
sea
squirt
(Halocynthia
roretzi);
however,
its
effects
on
AD
remained
unexplored.
In
this
study,
developed
rapid
efficient
method
to
generate
cerebral
organoids
with
consistent
quality
using
okadaic
acid
(OKA)
exposure.
This
study
aimed
evaluate
protective
of
WLP
OKA-induced
pathology
elucidate
underlying
mechanisms.
Our
results
demonstrated
that
exposed
25
nM
OKA
successfully
recapitulated
hallmark
pathologies,
including
amyloid-beta
(Aβ)
plaque
deposits,
neurofibrillary
tangles
(NFTs)
formed
by
hyperphosphorylated
tau
proteins,
neuronal
loss.
treatment
significantly
enhanced
cell
viability,
increased
proportion
progenitor
cells,
reduced
Aβ
plaques
NFTs
organoids.
Furthermore,
transcriptomic
analysis
revealed
neuroprotective
are
primarily
mediated
through
regulation
synapse-related
oxidative
stress
pathways.
These
findings
highlight
potential
as
promising
nutraceutical
candidate
for
prevention.
Language: Английский
Investigating the Mechanism of Neurotoxic Effects of PFAS in Differentiated Neuronal Cells through Transcriptomics and Lipidomics Analysis
ACS Chemical Neuroscience,
Journal Year:
2024,
Volume and Issue:
15(24), P. 4568 - 4579
Published: Nov. 27, 2024
Per-
and
polyfluorinated
alkyl
substances
(PFAS)
are
pervasive
environmental
contaminants
that
bioaccumulate
in
tissues
pose
risks
to
human
health.
Increasing
evidence
links
PFAS
neurodegenerative
behavioral
disorders,
yet
the
underlying
mechanisms
of
their
effects
on
neuronal
function
remain
largely
unexplored.
In
this
study,
we
utilized
SH-SY5Y
neuroblastoma
cells,
differentiated
into
neuronal-like
investigate
impact
six
compounds─perfluorooctanoic
acid
(PFOA),
perfluorooctanesulfonic
(PFOS),
perfluorodecanoic
(PFDA),
perfluorodecanesulfonic
(PFDS),
8:2
fluorotelomer
sulfonate
(8:2
FTS),
alcohol
FTOH)─on
Following
a
30
μM
exposure
for
24
h,
accumulation
ranged
from
40–6500
ng/mg
protein.
Transcriptomic
analysis
revealed
721
differentially
expressed
genes
(DEGs)
across
treatments
(padj
<
0.05),
with
11
DEGs
shared
among
all
exposures,
indicating
potential
biomarkers
toxicity.
PFOA-treated
cells
showed
downregulation
involved
synaptic
growth
neural
function,
while
PFOS,
PFDS,
FTS,
FTOH
exposures
resulted
upregulation
related
hypoxia
response
amino
metabolism.
Lipidomic
profiling
further
demonstrated
significant
increases
fatty
levels
PFDA,
FTS
depletion
triacylglycerols
treatments.
These
findings
suggest
neurotoxic
structurally
dependent,
offering
insights
molecular
processes
may
drive
PFAS-induced
dysfunction.
Language: Английский