Delineating the Mechanistic Insight of Inhibition of α-Synuclein Fibrillation by Neuro Metabolite, Myo-inositol: Implications in Synucleopathies-Related Disorders
Tanzeel Khan,
No information about this author
Abdus Samad,
No information about this author
Rashid Waseem
No information about this author
et al.
ACS Chemical Neuroscience,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 21, 2025
The
fibrillation
of
α-synuclein
(α-syn)
is
a
major
factor
contributing
to
neuronal
damage
and
critical
in
developing
synucleopathies-related
disorders.
Considering
this,
the
discovery
new
compounds
that
can
inhibit
or
modulate
α-syn
aggregation
significant
area
research.
While
polyol
osmolytes
have
been
shown
reduce
fibrillation,
impact
brain
metabolites
such
as
myo-inositol
(MI)
on
has
not
yet
explored.
This
study
first
examine
effects
MI
aggregation,
utilizing
spectroscopic,
microscopic,
cell
cytotoxicity
assay.
Various
assays
revealed
inhibits
dose-dependent
manner.
Fluorescence
microscopy
observations
suggest
by
forming
amorphous
aggregates.
MTT
assay
aggregates
presence
different
concentrations
were
toxic
compared
fibrils.
Thus,
mechanistic
insight
inhibition
was
explored
employing
interaction
studies
using
calorimetric,
silico
approaches.
Surface
plasmon
resonance
isothermal
titration
calorimetry
MI-α-syn
interacted
with
binding
affinity,
reaction
spontaneous.
Molecular
docking
results
depict
aggregation-prone
residues
(36-42)
at
N-terminal
α-syn,
thereby
stabilizing
preventing
fibril
formation.
dynamics
simulation
demonstrate
stability
complex
formation
α-syn.
highlighted
from
amyloid
fibril,
which
could
be
further
for
therapeutic
management
Language: Английский
Emerging Biomarkers in Metabolomics: Advancements in Precision Health and Disease Diagnosis
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(23), P. 13190 - 13190
Published: Dec. 8, 2024
Metabolomics
has
come
to
the
fore
as
an
efficient
tool
in
search
for
biomarkers
that
are
critical
precision
health
approaches
and
improved
diagnostics.
This
review
will
outline
recent
advances
biomarker
discovery
based
on
metabolomics,
focusing
metabolomics
reported
cancer,
neurodegenerative
disorders,
cardiovascular
diseases,
metabolic
health.
In
provides
evidence
unique
oncometabolites
important
early
disease
detection
monitoring
of
treatment
responses.
Metabolite
profiling
conditions
such
mental
disorders
can
offer
diagnosis
mechanisms
into
especially
Alzheimer's
Parkinson's
diseases.
addition
these,
lipid
other
metabolites
relating
promising
patient
stratification
personalized
treatment.
The
gut
microbiome
environmental
exposure
also
feature
among
influential
factors
because
they
sculpt
individual
profiles,
impacting
overall
Further,
we
discuss
technological
current
clinical
applications,
challenges
faced
by
validation
toward
medicine.
Finally,
this
discusses
future
opportunities
regarding
integration
routine
healthcare
enable
preventive
approaches.
Language: Английский