Research Square (Research Square),
Journal Year:
2022,
Volume and Issue:
unknown
Published: May 9, 2022
Abstract
Background:
Extensive
studies
revealed
the
association
between
heavy
metals
and
CKD.
Compared
with
single
meta,
mixtures
reflect
exposure
scenarios
in
real
life
deserves
attention.
While
mechanism
of
action
metal
mixture
on
renal
function
is
still
undefined.
Methods:
A
cross-sectional
study
involving
2775
participants
was
conducted.
Urinary
concentrations
were
measured
by
inductively
coupled
plasma
mass
spectrometry,
estimated
glomerular
filtration
rate
(eGFR)
for
calculated.
The
eGFR
linear
regression.
Interaction
used
to
evaluate
using
a
Bayesian
nuclear
machine
regression
model
(BKMR).
Results:
In
regression,
urinary
As
(β
=
2.723,
P<0.05)
Pb
3.081,
positively
correlated
total
population.
BKMR
model,
five
had
positive
joint
effect
levels,
(PIP
0.996)
contributed
most
levels.
significantly
associated
levels
women.
displayed
significant
when
all
other
fixed
at
25th,
50th,
75th
percentiles.
Conclusions:
To
best
our
knowledge
All
mixed
eGFR,
while
demonstrated
more
important
effects
than
four
mixture,
especially
BMC Public Health,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: April 29, 2024
Exposure
to
heavy
metals
alone
or
in
combination
can
promote
systemic
inflammation.
The
aim
of
this
study
was
investigate
potential
associations
between
multiple
plasma
and
markers
immune
Toxics,
Journal Year:
2025,
Volume and Issue:
13(1), P. 55 - 55
Published: Jan. 14, 2025
Background:
While
current
epidemiological
studies
have
documented
associations
between
environmental
metals
and
renal
dysfunction,
the
majority
concentrated
on
plasma
metal
levels.
The
relationship
urinary
exposure
chronic
kidney
disease
(CKD)
remains
contentious,
particularly
within
specific
demographic
groups.
Methods:
This
cross-sectional
study
included
2919
rural
Chinese
adults
recruited
2018
2019.
Urine
were
measured
by
ICP-MS.
Least
absolute
shrinkage
selection
operator
(LASSO)
regression
was
employed
to
identify
significantly
associated
with
CKD.
Then,
we
used
binary
logistic
regression,
along
restricted
cubic
spline
(RCS)
models,
assess
individual
effects
of
Quantile
g-computation,
weighted
quantile
sum
Bayesian
kernel
machine
(BKMR)
models
applied
evaluate
combined
exposures
Gender-stratified
analyses
also
conducted
explore
these
associations.
Results:
LASSO
identified
seven
(V,
Cu,
Rb,
Sr,
Ba,
W,
Pb)
significant
impacts
In
single-metal
Cu
W
exhibited
a
positive
correlation
CKD,
whereas
V,
Pb
showed
negative
correlations
(all
p
<
0.05).
RCS
analysis
revealed
nonlinear
Pb,
CKD
p-nonlinear
multi-metal
model,
quantile-based
g-computation
demonstrated
collective
association
risk
for
mixed
(OR
(95%
CI)
=
−0.430
(−0.656,
−0.204);
0.001),
contributing
this
effect.
WQS
model
further
confirmed
joint
CI):
−0.885
(−1.083,
−0.899);
V
as
main
contributor.
BKMR
indicated
an
overall
impact
mixture
risk.
Interactions
may
exist
well
Sr
Pb.
female
subgroup
in
consistency
association.
Conclusions:
Our
findings
demonstrate
risk,
notable
females.
Joint
multiple
involve
synergistic
or
antagonistic
interactions
influencing
function.
Further
research
is
needed
validate
observations
elucidate
underlying
mechanisms.
Antioxidants,
Journal Year:
2022,
Volume and Issue:
11(10), P. 1991 - 1991
Published: Oct. 7, 2022
Trace
elements
are
micronutrients
that
required
in
very
small
quantities
through
diet
but
crucial
for
the
prevention
of
acute
and
chronic
diseases.
Despite
fact
initial
studies
demonstrated
inverse
associations
between
some
most
important
essential
trace
(Zn,
Cu,
Se,
Mn)
cardiovascular
disease,
several
recent
have
reported
a
direct
association
with
risk
factors
due
to
these
can
act
as
both
antioxidants
pro-oxidants,
depending
on
factors.
This
study
aims
investigate
plasma
urine
concentrations
general
population
from
Mediterranean
region,
including
484
men
women
aged
18−80
years
considering
individually
joint
exposure.
Zn,
Mn
were
determined
using
an
inductively
coupled
mass
spectrometer
(ICP-MS).
Single
combined
analysis
lipid,
blood
pressure,
diabetes,
anthropometric
variables
was
undertaken.
Principal
component
analysis,
quantile-based
g-computation,
calculation
element
scores
(TERS)
used
analyses.
Models
adjusted
covariates.
In
single
models,
we
found
statistically
significant
Se
increased
total
cholesterol
systolic
pressure;
Cu
triglycerides
body
index;
Zn
glucose.
Moreover,
exposure
quantile
g-computation
TERS,
levels
(directly),
(inversely)
strongly
associated
hypercholesterolemia
(OR:
2.03;
95%CI:
1.37−2.99;
p
<
0.001
per
quartile
increase
approach).
The
mixtures
revealed
relationship
fasting
glucose
diabetes
1.91;
1.01−3.04;
=
0.046).
conclusion,
this
population,
effect
higher
(primarily
Zn)
directly
elevated
lipids,
whereas
mixture
primarily
Both
parameters
relevant
factors,
exposures
should
be
considered
caution.
Toxics,
Journal Year:
2023,
Volume and Issue:
11(6), P. 488 - 488
Published: May 27, 2023
Metal
pollution
may
lead
to
a
variety
of
diseases;
for
this
reason,
it
has
become
matter
public
concern
worldwide.
However,
is
necessary
use
biomonitoring
approaches
assess
the
risks
posed
human
health
by
metals.
In
study,
concentrations
14
metal
elements
in
181
urine
samples
obtained
from
general
population
Gansu
Province,
China,
were
analyzed
using
inductively
coupled
plasma
mass
spectrometry.
Eleven
out
fourteen
target
had
detection
frequencies
above
85%,
namely,
Cr,
Ni,
As,
Se,
Cd,
Al,
Fe,
Cu
and
Rb.
The
most
our
subjects
corresponded
medium
levels
other
regional
studies.
Gender
exerted
significant
influence
(p
<
0.05)
on
Tl,
Rb
Zn.
Pb,
Sr,
Zn,
Se
showed
differences
among
different
age
groups
age-related
concentration
trends
varied
these
elements.
There
Zn
Sr
between
those
group
who
frequently
exposed
soil
(exposed
>
20
min/day)
not,
indicating
that
people
regular
contact
with
be
more
This
study
provides
useful
information
evaluating
exposure
populations.
Ecotoxicology and Environmental Safety,
Journal Year:
2023,
Volume and Issue:
263, P. 115289 - 115289
Published: July 25, 2023
Epidemiological
studies
about
the
effect
of
essential
metal
mixture
on
fasting
plasma
glucose
(FPG)
levels
among
elderly
people
are
sparse.
The
object
this
study
was
to
examine
associations
single
metals
and
with
FPG
in
Chinese
community-dwelling
people.The
recruited
2348
total.
Inductively
coupled
plasma-mass
spectrometry
adopted
detect
vanadium
(V),
selenium
(Se),
magnesium
(Mg),
cobalt
(Co),
calcium
(Ca),
molybdenum
(Mo)
urine.
relationships
between
were
evaluated
by
linear
regression
Bayesian
kernel
machine
(BKMR)
models,
respectively.In
multiple-metal
urine
V
Mg
negatively
related
(β
=
-
0.016,
95
%
CI:
0.030
0.003
for
V;
β
0.021,
0.033
0.009
Mg),
Se
positively
0.024,
0.014-0.034).
In
BKMR
model,
significant
also
found.
associated
a
dose-response
pattern,
had
maximum
posterior
inclusion
probability
(PIP)
value
(PIP
1.0000),
followed
0.9968).
Besides,
Co
showed
association
decreased
older
adults
without
hyperlipemia
women.Both
levels,
individually
as
mixture.
displayed
relationship
reduced
having
largest
contribution
Se.
Further
prospective
investigations
necessary
validate
these
exploratory
findings.