Subacute PM2.5 Exposure Induces Hepatic Insulin Resistance Through Inflammation and Oxidative Stress
International Journal of Molecular Sciences,
Год журнала:
2025,
Номер
26(2), С. 812 - 812
Опубликована: Янв. 19, 2025
Epidemiological
studies
prove
that
type
II
diabetes,
characterized
by
insulin
resistance
(IR),
may
be
caused
fine
particulate
matter
2.5
(PM2.5).
However,
underlying
mechanisms
whereby
PM2.5,
particularly
during
short-term
exposure,
induces
liver
dysfunction
leading
to
IR
remains
poorly
understood.
In
the
present
study,
HepG2
cells
and
BALB/c
mouse
model
were
used
explore
how
PM2.5
affects
sensitivity.
The
effects
of
subacute
exposure
on
glucose
metabolism
examined
using
commercial
kits.
Oxidative
stress
inflammation
detected
fluorescent
staining
RT-qPCR.
phosphorylation
PI3K/AKT
was
Western
blot.
Subacute
induced
IR,
as
reflected
increased
levels
in
cell
supernatants,
elevated
levels,
impaired
intraperitoneal
tolerance
test
mice.
oxidative
stress,
evidenced
reactive
oxygen
species,
cytochrome
P450
2E1,
malondialdehyde,
along
with
reduced
superoxide
dismutase
1/2
silent
information
regulator
1.
IL-6
TNF-α
found
upregulated
blot
showed
inhibited
PI3K-AKT
signaling
pathway,
indicated
decreased
cells.
Additionally,
H&E
only
mild
hepatic
injury
mice
liver.
These
results
firmly
suggest
through
inflammation,
inhibition
pathway.
Язык: Английский
Reply to “Investigating the mechanisms of PM2.5's impact on blood pressure: establishing a three-tier response strategy” by Qiang et al.
Journal of Hypertension,
Год журнала:
2025,
Номер
43(3), С. 555 - 556
Опубликована: Янв. 30, 2025
Язык: Английский
The causal links between long-term exposure to major chemical components of PM2.5 and overall outpatient visits in mainland China: A nationwide study in the difference-in-differences framework
Journal of Advanced Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 1, 2025
Although
the
adverse
health
effects
of
PM2.5
exposure
has
been
well
documented,
evidence
its
effect
on
overall
outpatient
visits
was
still
limited.
Besides,
get
complicated
due
to
various
components
within
particles.
So
far,
little
is
known
about
relationship
between
and
visits.
This
study
aims
evaluate
causal
relationships
long-term
primary
chemical
visits,
while
estimating
mixture
relative
contribution
components.
Based
nationwide
provincial-level
surveillance
data
in
China
well-validated
simulations
concentration,
we
employed
Difference-In-Differences
(DID)
approach
used
a
Bayesian
Weighted
Quantile
Sum
(BWQS)
regression
assess
We
found
20.44%
increase
risk
(IR%)
following
each
InterQuartile
Range
(IQR)
increment
concentration.
Our
estimation
further
suggested
17.07%,
15.91%,
14.04%
for
organic
matter,
sulfate,
nitrate,
but
non-significant
increases
other
However,
when
considering
inter-components
correlation,
sulfate
black
carbon
contributed
most
(42.3%
28.1%,
respectively)
which
indicated
by
4.84%
(95%CI:
1.92%,
7.83%)
every
unit
BWQS
index.
Additionally,
stratified
analyses
showed
stronger
association
among
aged
provinces
with
lower
education
rates.
findings
would
improve
understanding
individual
impact
major
may
contribute
more
targeted
optimized
environmental
programs
pollution
control.
Язык: Английский
Associations of ambient air pollution exposure to fine particulate matter and its chemical constituents before and during pregnancy with the risk of full-term small for gestational age: a retrospective cohort study
International Archives of Occupational and Environmental Health,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 21, 2025
Язык: Английский
Association of triglyceride-glucose index and diabesity: evidence from a national longitudinal study
Lipids in Health and Disease,
Год журнала:
2024,
Номер
23(1)
Опубликована: Дек. 20, 2024
Diabesity,
a
co-occurrence
of
diabetes
and
obesity,
is
growing
public
health
concern
globally.
The
triglyceride-glucose
(TyG)
index,
surrogate
marker
insulin
resistance,
has
been
associated
with
various
metabolic
disorders.
This
study
aimed
to
investigate
the
association
between
TyG
index
new-onset
diabesity
in
national
longitudinal
study.
We
utilized
data
from
China
Health
Retirement
Longitudinal
Study
(CHARLS).
Baseline
first
wave
(2011)
follow-up
third
(2015)
were
analyzed.
A
Competing
risks
model
based
on
Fine
Gray's
subdistribution
hazard
approach
was
employed
examine
developing
three
mutually
exclusive
outcomes:
remaining
free
alone,
(co-occurrence
obesity).
total
6,976
participants
included
analysis.
During
mean
period
4.0
years,
557
155
recorded,
respectively.
After
adjusting
for
socio-demographic
information,
lifestyle
comorbidities,
compared
lowest
quartile
TyG,
corresponding
adjusted
ratios
(HRs)
95%
confidence
intervals
(95%
CIs)
second,
third,
fourth
quartiles
2.112
CI:
1.047–4.259;
P-value
=
0.037),
2.911
1.481–5.722,
0.002),
4.305
2.220–8.346,
<
0.001).
alone
equally
significant
when
treated
as
competing
risk.
Sensitivity
analyses
proved
robustness
results.
provides
evidence
that
higher
an
increased
risk
diabesity.
Язык: Английский
The burden of type 2 diabetes attributable to air pollution across China and its provinces, 1990–2021: an analysis for the Global Burden of Disease Study 2021
The Lancet Regional Health - Western Pacific,
Год журнала:
2024,
Номер
53, С. 101246 - 101246
Опубликована: Ноя. 26, 2024
Язык: Английский