Association of combined lead, cadmium, and mercury with systemic inflammation
Frontiers in Public Health,
Journal Year:
2024,
Volume and Issue:
12
Published: Aug. 29, 2024
Background
Exposure
to
environmental
metals
has
been
increasingly
associated
with
systemic
inflammation,
which
is
implicated
in
the
pathogenesis
of
various
chronic
diseases,
including
those
neurodegenerative
aspects.
However,
complexity
exposure
and
response
relationships,
particularly
for
mixtures
metals,
not
fully
elucidated.
Objective
This
study
aims
assess
individual
combined
effects
lead,
cadmium,
mercury
on
inflammation
as
measured
by
C-reactive
protein
(CRP)
levels,
using
data
from
National
Health
Nutrition
Examination
Survey
(NHANES)
2017-2018.
Methods
We
employed
Bayesian
Kernel
Machine
Regression
(BKMR)
analyze
NHANES
2017-2018
data,
allowing
evaluation
non-linear
exposure-response
functions
interactions
between
metals.
Posterior
Inclusion
Probabilities
(PIP)
were
calculated
determine
significance
each
metal's
contribution
CRP
levels.
Results
The
PIP
results
highlighted
mercury's
significant
levels
(PIP
=
1.000),
followed
cadmium
0.6456)
lead
0.3528).
Group
values
confirmed
importance
considering
a
collective
group
relation
Our
BKMR
analysis
revealed
relationships
metal
exposures
Univariate
showed
flat
relationship
CRP,
having
positive
relationship.
Mercury
exhibited
U-shaped
association,
indicating
both
low
high
potential
risk
factors
increased
inflammation.
Bivariate
this
when
contaminants
cadmium.
Analysis
single-variable
suggested
that
are
higher
h
function,
flexible
function
takes
multiple
combines
them
way
captures
complex
potentially
nonlinear
CRP.
overall
effect
all
below
50th
percentile
level
an
increase
while
above
60th
linked
decrease
Conclusions
findings
suggest
mercury,
These
highlight
need
public
health
strategies
address
cumulative
reinforce
advanced
statistical
methods
understand
impact
contaminants.
Future
research
should
focus
mechanistic
pathways
metal-induced
longitudinal
studies
ascertain
long-term
these
exposures.
Language: Английский
Nonlinearity association of blood cobalt with the risk of anemia among middle-aged and older adults: National Health and Nutrition Examination Survey
Xia Wang,
No information about this author
Zhang Ye,
No information about this author
Xuntao Liu
No information about this author
et al.
Hematology,
Journal Year:
2024,
Volume and Issue:
29(1)
Published: Oct. 16, 2024
The
use
of
cobalt
alloys
in
medical
implants
poses
a
high
risk
exposure,
yet
there
is
lack
evidence
regarding
the
association
between
blood
levels
and
anemia.
This
study
aimed
to
explore
link
onset
anemia
identify
potential
threshold
that
could
affect
Language: Английский
Interactive association of metals and Life’s Essential 8 with mortality in U.S. adults: a prospective cohort study from the NHANES dataset
Weipeng Zhang,
No information about this author
Weiqiang Chen,
No information about this author
Dengqiu Lu
No information about this author
et al.
BMC Public Health,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: Nov. 6, 2024
Life's
Essential
8
(LE8)
is
a
novel
assessment
of
cardiovascular
health
(CVH)
by
evaluating
lifestyle,
and
reports
the
associations
between
LE8
urinary
metals
on
mortality
have
been
very
limited.
This
study
aimed
to
conduct
prospective
cohort
investigate
combined
effects
in
U.S.
adults.
enrolled
participants
with
complete
information
metals,
LE8,
status,
confounders
from
National
Health
Nutrition
Examination
Survey
(2005–2018).
The
Cox
regression
model,
adaptive
lasso
penalized
regression,
restricted
cubic
spline
were
used
analyze
individual
all-cause
mortality.
additive
multiplicative
interaction
scales
quantile
g-computation
evaluate
effects.
Stratified
analyses
performed
clarify
whether
interacted
other
variables
influence
A
total
8017
included
this
study.
concentrations
cadmium,
cobalt,
lead,
antimony,
thorium
greater
low
CVH
group
than
high
[median
(µg/L):
0.29
vs.
0.19,
0.36
0.35,
0.48
0.39,
0.05
0.04,
0.07
0.06].
cadmium
was
statistically
significant,
synergy
index
1.169
(95%
CI:
1.004,
1.361).
stratified
showed
that
age
had
an
impact
(P
for
=
0.004).
In
representative
sample
population,
we
found
effect
thallium,
positively
associated
Furthermore,
influenced
So
people
should
adopt
healthy
behaviors
reduce
heavy
metal
exposure
minimize
risk
adverse
outcomes.
Language: Английский