Electromagnetic fields regulate iron metabolism: From mechanisms to applications
Shenghang Wang,
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Jiancheng Yang,
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Chenxiao Zhen
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et al.
Journal of Advanced Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Electromagnetic
fields
(EMFs),
as
a
form
of
physical
therapy,
have
been
widely
applied
in
biomedicine.
Iron,
the
most
abundant
trace
metal
living
organisms,
plays
critical
role
various
physiological
processes,
and
imbalances
its
metabolism
are
closely
associated
with
development
progression
numerous
diseases.
Numerous
studies
demonstrated
that
EMF
exposureinduces
significant
changes
both
systemic
cellular
iron
metabolism.
This
review
aims
to
summarize
evidence
potential
biophysical
mechanisms
underlying
EMFs
regulating
metabolism,
thereby
enhancing
understanding
their
biological
expanding
applications
biomedical
fields.
In
this
review,
we
synthesized
research
findings
proposed
hypothesis
regulate
involve
special
electromagnetic
properties
iron-containing
proteins
iron-enriched
tissues,
well
modulation
membrane
structure
function,
ion
channels,
generation
activity
Reactive
Oxygen
Species
(ROS).
Then,
summarizes
latest
advances
effects
on
safety,
impact
immunoregulation,
cardiovascular
diseases,
neurological
orthopedic
diabetes,
liver
injury,
cancer.
Language: Английский
Sex-specific associations between exposure to metal mixtures and mitochondrial DNA copy number: A repeated-measures study
Junxiu He,
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Xiaoting Ge,
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Sencai Lin
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et al.
Journal of Environmental Sciences,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 1, 2025
Language: Английский
No evidence of genetic causation between iron and infertility: a Mendelian randomization study
Liangliang Guo,
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Shengnan Yin,
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Hongkui Wei
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et al.
Frontiers in Nutrition,
Journal Year:
2024,
Volume and Issue:
11
Published: July 22, 2024
Background
Observational
studies
have
explored
the
impact
of
iron
homeostasis
on
infertility;
however,
establishing
definitive
causal
relationships
remains
challenging.
This
study
utilized
a
two-sample
Mendelian
randomization
approach
to
investigate
potential
relationship
between
status
and
infertility.
Materials
methods
Four
indicators
status-serum
iron,
ferritin,
transferrin
saturation,
total
binding
capacity,
were
considered
as
exposure
factors.
Infertility
was
outcome
variable
for
both
men
women.
Robust
causality
assessed
using
primary
inverse-variance-weighted
method,
complemented
by
three
supplementary
approaches.
Sensitivity
analyses
performed
enhance
precision
reliability
results.
Results
No
statistically
significant
associations
identified
four
These
results
remained
consistent
across
multiple
methodologies.
Conclusion
In
conclusion,
there
is
no
evidence
genetic
Nevertheless,
this
does
not
preclude
possibility
connection
infertility
at
different
mechanistic
levels.
Language: Английский