International Immunopharmacology,
Journal Year:
2024,
Volume and Issue:
140, P. 112886 - 112886
Published: Aug. 10, 2024
High
mobility
group
box
proterin-1
(HMGB-1)
is
a
multifunctional
protein
that
can
be
released
by
various
programmed
cell
deaths
(PCDs),
such
as
necroptosis
and
ferroptosis.
PCDs
play
critical
role
in
the
pathogenesis
of
systemic
lupus
erythematosus
(SLE).
However,
HMGB-1
process
SLE
remains
unclear.
This
study
aims
to
demonstrate
potential
diagnosing
serum
We
found
levels
HMGB-1,
receptor-interacting
kinase
3
(RIPK3)
/mixed
lineage
domain-like
(MLKL)
related
with
necroptosis,
metabolites
associated
ferroptosis
were
significantly
upregulated
patients
compared
HC
individuals.
These
positively
correlated
disease
activity.
Additionally,
level
showed
strong
positive
RIPK3/MLKL
metabolites.
Moreover,
was
renal
involvement
high-antinuclear
antibodies
(ANA)
titer.
After
interferon
γ
(IFN-γ)
treatment
vitro,
markers
activated
HMGB1
both
HEK293
HK2
cells.
Clinically,
considered
significant
independent
risk
factor
binary
logistic
assay.
Notably,
exhibited
outstanding
diagnostic
ability
for
area
under
curve
(AUC)
receiver
operating
characteristic
(ROC)
analysis.
Taken
together,
our
indicates
promising
biomarker
diagnosis
monitoring
SLE.
Frontiers in Nutrition,
Journal Year:
2025,
Volume and Issue:
11
Published: Jan. 7, 2025
The
non-high-density
lipoprotein
cholesterol
to
high-density
ratio
(NHHR)
is
a
newly
developed
lipid
parameter.
However,
the
current
research
has
only
explored
relationship
with
lumbar
spine
bone
mineral
density,
lacking
studies
on
density
at
other
sites,
total
body
and
an
analysis
of
risk
factors.
This
study
aims
determine
potential
association
between
NHHR
BMD,
increase
awareness
impact
levels
health.
By
utilizing
data
from
National
Health
Nutrition
Examination
Survey
(NHANES)
2011
2018,
we
conducted
univariate
generalized
linear
models
(GLMs)
analysis,
stratified
threshold
effect
smooth
curve
fitting
investigate
BMD.
were
categorized
into
tertiles
(low,
medium,
high)
based
their
distribution
among
population.
included
8,671participants,
have
shown,
exhibits
correlation
(BMD).
In
BMI
subgroup,
significantly
negatively
correlated
BMD
multiple
sites
in
low-to-middle
group
(BMI
<25
kg/m2),
while
no
significant
found
high
≥30
kg/m2).
gender
more
pronounced
male
mainly
reflected
reduction
age
negative
strongest
younger
(18-30
years),
gradually
weakening
middle-aged
(31-44
years)
older
groups
(45-59
years).
Further
suggests
that
dyslipidemia
may
influence
metabolism
through
pathways
such
as
inflammation
oxidative
stress.
(BMD)
varies
by
BMI,
gender,
age.
controlling
be
intervention
target
for
health
management,
particularly
individuals
males,
populations.
These
findings
offer
new
perspective
provide
scientific
evidence
development
personalized
osteoporosis
prevention
treatment
strategies.
BMC Public Health,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: March 1, 2025
Metabolic
diseases
(MDs),
exemplified
by
diabetes,
hypertension,
and
dyslipidemia,
have
become
increasingly
prevalent
with
rising
living
standards,
posing
significant
public
health
challenges.
The
MDs
are
influenced
a
complex
interplay
of
genetic
factors,
lifestyle
choices,
socioeconomic
conditions.
Additionally,
environmental
pollutants,
particularly
air
pollutants
(APs),
attracted
increasing
attention
for
their
potential
role
in
exacerbating
these
MDs.
However,
the
impact
APs
on
remains
unclear.
This
study
introduces
novel
machine
learning
(ML)
pipeline,
an
Algorithm
Spatial
Relationships
Analysis
between
Exposome
Diseases
(ASEMD),
to
analyze
spatial
associations
at
prefecture-level
city
scale
China.
ASEMD
pipeline
comprises
three
main
steps:
(i)
autocorrelation
is
evaluated
using
Moran's
I
statistic
Local
Indicators
Association
(LISA)
maps.
(ii)
dimensionality
reduction
similarities
identification
clusters
Principal
Component
(PCA),
k-means
clustering,
Jaccard
index
calculations,
further
validated
through
(iii)
AP
exposure
adjusted
demographic
confounders
predict
models
(e.g.,
eXtreme
Gradient
Boosting
(XGBoost),
Random
Forest
(RF),
Decision
Tree
(DT),
LightGBM,
Multi-Layer
Perceptron
(MLP)).
SHAP
values
employed
identify
key
that
linked
Model
performance
10-fold
cross-validation
five
different
metrics.
data
utilized
include
CHARLS
(2015)
meteorological
(2013-2015).
Significant
correlations
were
found
prevalence
higher
rates
observed
alignment
elevated
concentrations.
By
adjusting
confounders,
effectively
predicted
risk
developing
(AUROC=0.890,
0.877,
0.710
respectively).
results
showed
$$\mathrm
CO$$
,
PM_{2.5}$$
AQI$$
strongly
correlated
whereas
NO_{2}$$
PM_{10}$$
significantly
associated
dyslipidemia.
For
O_{3}$$
mostly
correlated.
Sensitivity
analyses
across
regions
types
underscored
robustness
our
conclusions.
successfully
integrates
ML
models,
epidemiological
methods,
analysis
techniques,
providing
robust
framework
understanding
interactions
We
also
identified
specific
APs,
including
$$PM_{10}$$
SO_{2}$$
as
being
hypertension
central
northern
cities.
Future
region-specific
strategies
or
interventions,
especially
those
areas
high
pollutant
levels,
needed
mitigate
pollution's
metabolic
health.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 10, 2025
Objectives
Hepatic
osteodystrophy
(HOD)
is
an
important
public
health
issue
that
severely
affects
human
health.
The
pathogenesis
of
HOD
complex,
and
exposure
to
environmental
pollutants
plays
role.
Di-(2-ethylhexyl)
phthalate
(DEHP)
a
persistent
endocrine
toxicant
present
in
many
products,
the
liver
target
organ
for
its
toxic
effects.
Our
research
aimed
investigate
effects
DEHP
on
HOD,
reveal
underlying
mechanisms
potential
key
preventive
approaches.
Methods
daily
intake
EDI
bone
density
indicators
men
women
from
2009
2018
were
screened
organized
NHANES
database
population
correlation
between
BMD;
C57BL/6
female
male
mice
selected
construct
animal
model
induced
exploring
fuchtions
osteoporosis;
novel
small
molecule
inhibitor
imICA
was
used
inhibit
process
osteoporosis,
further
targeted
inhibition
pathway
HOD.
Results
Male
populations
exposed
relatively
lower
concentration
DEHP,
only
exhibited
negative
mineral
density.
An
vivo
study
confirmed
low
dose
caused
lesions,
disrupted
function,
osteoporosis
but
not
C57BL/6J
mice.
Regarding
molecular
mechanisms,
activated
hepatic
14-3-3η/nuclear
factor
κB
(NF-κB)
positive
feedback
loop,
which
turn
modified
secretory
proteome
associated
with
differentiation,
leading
Finally,
we
revealed
targeting
14-3-3η/
NF-κB
loop
using
our
14-3-3η
(imICA)
could
prevent
DEHP-induced
Conclusion
A
differentiation
elevated
IL-6
CXCL1
levels,
Targeted
14-3-3η/NF-κB
inhibitor,
imICA,
prevented
Cell Death Discovery,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: April 9, 2025
Abstract
Osteoporosis
is
classified
as
a
metabolic
syndrome,
and
the
consumption
of
fructose
has
been
linked
to
various
diseases.
However,
specific
effects
underlying
mechanisms
on
bone
health
remain
inadequately
understood.
In
this
study,
we
demonstrate
that
intake
can
exacerbate
loss
in
murine
models
by
facilitating
accumulation
cholesterol
within
bones.
We
identify
Thyroid
Hormone
Receptor
Beta
(Thrb)
Protein
Kinase
C
Zeta
(Prkcz)
potential
therapeutic
targets
for
treatment
osteoporosis.
Mice
subjected
high-fructose
diet
exhibited
reduction
density
decrease
osteogenic
differentiation
marrow
mesenchymal
stem
cells
(BMSCs)
compared
those
standard
diet.
Fructose
was
found
Thrb
expression
while
increasing
Prkcz
expression,
leading
hindering
BMSCs.
Furthermore,
our
findings
indicate
activation
inhibition
significantly
ameliorate
mice.
This
study
elucidates
molecular
which
influences
osteogenesis
through
Thrb/Prkcz/cholesterol
pathway
context
osteoporosis,
thereby
highlighting
osteoporosis
treatment.