Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Dec. 28, 2024
Rheumatoid
arthritis
(RA)
is
closely
associated
with
environmental
factors.
Volatile
organic
compounds
(VOCs)
are
a
common
environment
pollutant
which
can
induce
autoimmune
diseases.
However,
studies
on
the
relationship
between
VOCs
and
RA
still
unclear.
This
study
aimed
to
evaluate
potential
associations
exposure
urinary
risk
among
adults.
Data
was
analyzed
from
National
Health
Nutrition
Examination
Survey
(NHANES)
2011–2018.
We
used
logistics
regression,
restricted
cubic
splines
(RCS)
model,
(Weighted
Quantile
Sum)
WQS,
qgcomp
(Bayesian
Kernel
Machine
Regression)
BKMR
models
assess
single
mixed
relationships
RA.
A
total
of
3390
participants
15
included
in
this
study.
The
results
showed
that
AMCC,
CEMC,
DHBC,
MB3C,
PHGA,
PMMC
were
significantly
higher
than
compare
without
Logistic
regression
model
reveals
AAMC,
CYMC,
HPMC,
MB3C
positive
correlation
age
20
50.
Then
qgcomp,
suggest
association
RA,
WQS
highlighting
CYMC
CEMC
as
major
contributors
20–59
group.
In
analysis,
overall
effects
co-exposure
displayed
AMCC
has
significant
20–59.
Furthermore,
RCS
proved
linear
According
our
results,
we
demonstrated
certain
(CYMC,
AMCC)
an
increased
prevalence
adults
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 16, 2025
Volatile
organic
compounds
(VOCs)
are
prevalent
in
daily
life,
yet
the
relationship
between
VOCs
exposure
and
atherogenic
index
of
plasma
(AIP)
remains
inadequately
explored,
especially
populations
with
high
levels
exposure.
This
study
aims
to
investigate
non-linear
association
AIP
U.S.
adult
population.
Data
from
National
Health
Nutrition
Examination
Survey
(NHANES)
collected
2011
2018
were
analyzed.
A
range
statistical
techniques,
including
Spearman's
correlation
analysis,
weighted
quantile
sum
(WQS),
multivariate
logistic
regression,
restricted
cubic
splines
(RCS),
stratified
threshold
models,
bayesian
kernel
machine
regression
(BKMR),
systematically
employed
assess
high-dose
adults.
The
included
6,027
participants,
an
average
age
37
(18–59),
50.46%
male.
Of
these,
3,011
had
elevated
levels.
Mann-Whitney
U
test
compared
across
quartiles
(Q1–Q4).
Spearman
models
revealed
strong
joint
effects
like
IPMA3
HMPMA
(ρ
=
0.97).
WQS
showed
a
positive
total
cholesterol
(TC)
(β
5.45,
95%
CI
5.42–5.58,
P
0.04)
high-density
lipoprotein
(HDL-C)
1.07,
1.03–1.10,
0.02).
After
adjusting
for
confounders,
that
such
as
3-4MHA,
34DMA,
AAMA,
ATCA,
CYMA,
HEMA,
SBMA
linked
higher
AIP.
RCS
analysis
indicated
nonlinear
Stratified
modeling
found
ATCA
was
significantly
positively
associated
(OR
1.60,
1.20–2.14,
p
<
0.01),
when
exceeded
128.60
ng/mL,
there
60%
increased
risk
Higher
urinary
levels,
particularly
AIP,
offering
new
insights
into
potential
link
cardiovascular
disease.
Toxics,
Journal Year:
2025,
Volume and Issue:
13(1), P. 46 - 46
Published: Jan. 9, 2025
Volatile
organic
compounds
(VOCs)
are
associated
with
obesity
health
risks,
while
the
association
of
mixed
VOCs
visceral
adiposity
indicators
remains
unclear.
In
this
study,
a
total
2015
adults
from
National
Health
and
Nutrition
Examination
Survey
(NHANES)
were
included.
Weighted
generalized
linear
models,
restricted
cubic
spline
(RCS),
weighted
quantile
sum
(WQS),
Bayesian
kernel
machine
regression
(BKMR)
adopted
to
assess
VOC
metabolites
(mVOCs)
index
(VAI)
lipid
accumulation
product
(LAP).
Multiple
mVOCs
positively
VAI
LAP
in
single-exposure
model,
especially
N-acetyl-S-(2-carboxyethyl)-L-cysteine
(CEMA)
N-acetyl-S-(N-methylcarbamoyl)-L-cysteine
(AMCC).
The
associations
more
significant
<60-year-old
non-obese
individuals,
interactions
CEMA
age
AMCC
status.
Nonlinear
relationships
between
certain
or
also
observed.
WQS
co-exposure
was
correlated
[β
(95%CI):
0.084
(0.022,
0.147)];
(25.24%)
major
contributor.
result
BKMR
revealed
positive
trend
VAI.
Our
findings
suggest
that
exposure
is
strongly
indicators.
Further
large
prospective
investigations
necessary
support
our
findings.
Journal of Affective Disorders,
Journal Year:
2025,
Volume and Issue:
379, P. 194 - 203
Published: March 11, 2025
Exposure
to
volatile
organic
compounds
(VOCs)
has
been
increasingly
linked
mental
health
disorders,
but
the
relationship
between
VOCs
exposure
and
suicidal
ideation
(SI)
remains
unclear.
This
study
aims
investigate
link
prevalence
of
SI.
We
analyzed
data
from
6966
participants
in
2005-2020
National
Health
Nutrition
Examination
Survey.
SI
was
assessed
using
ninth
item
Patient
Questionnaire-9.
Key
urinary
metabolites
(mVOCs)
associated
with
were
identified
elastic
net
regression
models.
Multivariate
logistic
restricted
cubic
spline
used
explore
associations
individual
mVOCs
To
evaluate
impact
mixtures
on
SI,
we
applied
Environmental
Risk
Score
Weighted
Quantile
Sum
Mediation
analysis
conducted
determine
whether
inflammation
oxidative
stress
pathways
contribute
observed
associations.
Among
participants,
253
reported
Across
various
models,
only
N-Acetyl-S-(2-cyanoethyl)-L-cysteine
(CYMA)
consistently
showed
a
significant
linear
association
Mixture
analyses
indicated
positive
prevalence.
suggested
that
are
unlikely
be
primary
mechanisms
linking
provides
first
epidemiological
evidence
an
CYMA
as
most
critical
influencing
The
findings
suggest
does
not
primarily
involve
or
pathways.
Frontiers in Public Health,
Journal Year:
2025,
Volume and Issue:
13
Published: March 21, 2025
Introduction
As
a
worldwide
public
health
concern,
Metabolic
syndrome
(MetS)
seriously
endangers
human
and
life
safety.
It`s
reported
that
there
is
strong
association
between
chemical
pollutants
the
development
of
MetS
in
recent
years.
Volatile
organic
compounds
(VOCs),
primary
emission
pollutant
atmospheric
pollutants,
were
closely
associated
with
chronic
diseases.
However,
VOCs
exposure
unclear.
We
aimed
to
investigate
identify
behavioral
patterns
which
patients
may
be
exposed
VOCs.
Methods
conducted
cross-sectional
data
analysis
from
15,560
VOC-exposed
participants
NHANES
.
Multivariable
logistic
regression
model,
weighted
quantile
sum
(WQS)
Bayesian
kernel
machine
(BKMR)
model
employed
explore
exposure`s
independent
combined
effects
on
MetS,
respectively.
Results
A
total
2,531
individuals
included
our
study,
whom
51.28%
had
48.72%
non-MetS.
The
identified
N-acetyl-S-(N-
methylcarbamoyl)-L-cysteine
(AMCC),
N-acetyl-S-(2-carboxyethyl)-L-cysteine
(CEMA),
N-acetyl-S-(2-
cyanoethyl)-L-
cysteine
(CYMA)
MetS.
In
WQS
analysis,
index
was
significantly
AMCC,
trans,trans-Muconic
acid
(t,t-MA),
N-Acetyl-S-(1-cyano-2-
hydroxyethyl)-
L-cysteine
(CYHA),
CEMA,
2-Thioxothiazolidine-4-carboxylic
(TTCA),
N-acetyl-
S-(3-
hydroxypropyl-1-methyl)-L-cysteine
(HPMM),
CYMA,
N-acetyl-S-(3,4-dihydroxybutyl)-L-cysteine
(NADB),
N-Acetyl-S-(4-hydroxy-2-methyl-2-buten-1-yl)-L-cysteine
(IPM3
cysteine).
Finally,
positively
CEMA
CYMA
BKMR
model.
Discussion
summary,
we
demonstrated
their`
metabolism
Compared
results
these
three
models,
as
factors
This
study
provides
research
direction
for
mechanism
induce
onset
Toxics,
Journal Year:
2025,
Volume and Issue:
13(5), P. 328 - 328
Published: April 23, 2025
Air
pollution
is
closely
associated
with
the
development
of
multiple
metabolic
diseases.
Circadian
syndrome
(CircS),
as
an
extended
concept
(MetS),
has
been
proven
to
be
a
better
predictor
diseases
than
MetS.
However,
relationship
between
volatile
organic
compounds
(VOCs)
and
CircS
in
pre-
postmenopausal
women
remains
unclear.
This
study
used
data
from
National
Health
Nutrition
Examination
Survey
(NHANES)
2011–2020,
including
520
premenopausal
531
women.
Generalized
linear
model
(GLM),
restricted
cubic
spline
(RCS)
model,
subgroup
analyses,
weighted
quantile
sum
(WQS)
were
assess
VOCs
CircS.
In
addition,
sensitivity
analyses
performed
evaluate
robustness
results.
Our
findings
showed
that
seven
VOC
metabolites
positively
risk
women,
only
two
The
WQS
analysis
further
confirmed
mixtures
selected
by
least
absolute
shrinkage
selection
operator
(LASSO)
significantly
increased
HPMMA
identified
primary
contributor
combined
effect.
association
was
not
evident
Meanwhile,
individual
urinary
observed
elevated
glucose
short
sleep.
results
highlighted
exposure
strongly
occurrence
Further
research
needed
confirm
this
conclusion.