Relationship between enriched environment and neurodegeneration: a review from mechanism to therapy
Yang Xu,
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YangQuan Chen,
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Jia‐xin Xing
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et al.
Clinical Epigenetics,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: Jan. 24, 2025
Enriched
environment
(EE),
as
a
non-pharmacological
intervention,
has
garnered
considerable
attention
for
its
potential
to
ameliorate
neurodegenerative
diseases
(NDs).
This
review
delineated
the
impact
of
EE
on
biological
functions
associated
with
NDs,
emphasizing
role
in
enhancing
neural
plasticity,
reducing
inflammation,
and
bolstering
cognitive
performance.
We
discussed
molecular
underpinnings
effects
EE,
including
modulation
key
signaling
pathways
such
extracellular
regulated
kinase
1/2
(ERK1/2),
mitogen-activated
protein
kinases
(MAPK),
AMPK/SIRT1,
which
were
implicated
neuroprotection
synaptic
plasticity.
Additionally,
we
scrutinized
influence
epigenetic
modifications
autophagy,
processes
pivotal
ND
pathogenesis.
Animal
models,
encompassing
both
rodents
larger
animals,
offer
insights
into
disease-modifying
underscoring
complementary
approach
pharmacological
interventions.
In
summary,
emerges
promising
strategy
augment
function
decelerate
progression
NDs.
Language: Английский
Investigating the Role of B Cell Receptors in Pathogen Recognition and Immune Response Activation: Implications for Infection Control and Therapeutic Development
Selin Özalp
No information about this author
Next frontier.,
Journal Year:
2024,
Volume and Issue:
8(1), P. 169 - 169
Published: Nov. 25, 2024
B
cell
receptors
(BCRs)
are
critical
components
of
the
adaptive
immune
system,
enabling
precise
pathogen
recognition
and
activation
responses.
This
research
examines
molecular
genetic
mechanisms
underlying
BCR
function,
focusing
on
their
role
in
detecting,
binding,
neutralizing
infectious
agents.
By
exploring
antigen-BCR
interactions,
we
aim
to
elucidate
how
BCRs
achieve
remarkable
specificity
affinity,
ultimately
shaping
strength
duration
Through
advanced
immunological
assays,
flow
cytometry,
bioinformatics,
this
study
characterizes
diversity
expression
across
various
models.
Genetic
processes
such
as
somatic
hypermutation
clonal
selection
analyzed
understand
repertoires
adapt
rapidly
evolving
pathogens.
Predictive
models
developed
using
machine
learning
identify
biomarkers
within
pathways,
providing
insights
into
acute
infections,
chronic
diseases,
autoimmune
conditions.
The
findings
highlight
variations
function
that
influence
resilience
susceptibility
infections.
These
inform
vaccine
development,
antibody
engineering,
therapeutic
strategies
targeting
pathways.
underscores
potential
targets,
paving
way
for
innovative
approaches
infection
control
modulation,
advancing
precision
medicine
immunity
research.
Language: Английский