The protective effects of cheese intake on joint pain and underlying biomarkers: Insights from the Mendelian randomization
Journal of Dairy Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 1, 2025
This
study
aimed
to
investigate
the
relationship
between
cheese
consumption
and
risk
of
joint
pain,
as
well
assess
mediating
role
biomarkers.
Utilizing
Mendelian
randomization
methods,
we
analyzed
data
from
UK
Biobank
FinnGen
evaluate
link
intake
examining
44
biomarkers
potential
mediators.
The
findings
revealed
a
significant
inverse
association
mediated
by
various
biomarkers,
including
neutrophil
count,
apolipoprotein
A,
peak
expiratory
flow,
cystatin
C,
IGF-1,
sex
hormone–binding
globulin,
urate,
automated
diastolic
blood
pressure.
These
results
suggest
that
may
reduce
pain
affecting
specific
providing
scientific
basis
for
dietary
interventions
decrease
incidence
pain.
However,
study's
limitations
include
ethnic
homogeneity
sample
population
incomplete
analysis
indicating
need
further
research
confirm
expand
upon
these
initial
findings.
Язык: Английский
Vitamin D supplementation for managing COVID-19 in patients with vitamin D deficiency: a systematic review and meta-analysis of randomised controlled trials
BMJ Open,
Год журнала:
2025,
Номер
15(3), С. e091903 - e091903
Опубликована: Март 1, 2025
Objectives
Vitamin
D
deficiency
is
prevalent
among
the
population.
Previous
studies
have
shown
that
vitamin
supplementation
might
be
useful
for
treating
COVID-19
infection.
Therefore,
we
performed
a
meta-analysis
to
explore
efficacy
in
patients
with
deficiency.
Design
Systematic
review
and
Data
sources
PubMed,
Cochrane
Library,
Embase
Web
of
Science.
Eligibility
criteria
Randomised
controlled
trials
exploring
extraction
synthesis
Two
independent
reviewers
employed
standardised
methods
search,
screen
code
included
studies.
The
primary
outcomes
mortality
during
follow-up,
28-day
mortality,
need
mechanical
ventilation
intensive
care
unit
(ICU).
secondary
outcome
length
stay
hospital
ICU.
risk
bias
was
assessed
using
Risk
Bias
2
tool.
Depending
on
level
heterogeneity,
either
random-effects
model
or
fixed-effects
applied.
findings
were
summarised
Grading
Recommendations
Assessment,
Development
Evaluation
(GRADE)
evidence
profiles
synthesised
qualitatively.
Results
A
total
nine
studies,
comprising
870
participants,
analysis.
pooled
results
indicated
associated
lower
(risk
ratio
0.76;
95%
CI
0.60
0.97).
However,
this
apparent
benefit
not
robust
when
examined
through
leave-one-out
method
trial
sequential
Regarding
other
outcomes,
there
no
statistically
significant
difference
between
terms
ICU
admission.
0.41
day
shorter
(mean
−0.41;
−1.09
0.28)
0.07
−0.07;
−0.61
0.46)
compared
supplementation;
however,
neither
significant.
Conclusion
Based
low
moderate
quality,
reduced
rate
follow-up
it
did
improve
nor
reduce
admission,
hospital.
PROSPERO
registration
number
CRD42024573791.
Язык: Английский
Constructing an early warning model for elderly sepsis patients based on machine learning
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 27, 2025
Sepsis
is
a
serious
threat
to
human
life.
Early
prediction
of
high-risk
populations
for
sepsis
necessary
especially
in
elderly
patients.
Artificial
intelligence
shows
benefits
early
warning.
The
aim
the
study
was
construct
an
machine
warning
model
patients
and
evaluate
its
performance.
We
collected
from
General
Hospital
Ningxia
Medical
University
emergency
department
intensive
care
unit
01
January
2021
August
2023.
clinical
data
divided
into
training
set
test
set.
A
total
2976
12
features
were
screened.
used
8
learning
models
build
model.
In
conclusion,
we
developed
based
on
XGBoost
with
AUROC
0.971,
AUPRC
0.862,
accuracy
0.95,
specificity
0.964
F1
score
0.776.
Of
all
features,
baseline
APTT
played
most
important
role,
followed
by
lymphocyte
count.
Higher
level
lower
count
may
indicate
higher
risk
occurrence.
high-performance
old
age
order
facilitate
treatment
but
also
need
further
external
validation.
Язык: Английский
Immunohistochemical‐Based Molecular Typing of ACRG Combined With Immune‐Associated PD‐L1 Expression Can Predict the Prognosis of Gastric Cancer
Cancer Medicine,
Год журнала:
2025,
Номер
14(7)
Опубликована: Апрель 1, 2025
ABSTRACT
Background
Gastric
cancer
(GC)
is
a
molecularly
heterogeneous
disease
with
diverse
clinical
outcomes.
Traditional
classifications
lack
predictive
accuracy,
necessitating
alternative
molecular
subtyping
approaches
for
effective
prognosis
prediction.
The
Asian
Cancer
Research
Group
(ACRG)
subtypes,
combined
immune‐associated
PD‐L1
expression,
offer
promising
framework
to
predict
patient
outcomes
and
potentially
guide
treatment
strategies
in
GC.
Methods
This
study
retrospectively
analyzed
1007
primary
GC
patients
who
underwent
surgical
resection
between
January
2017
June
2019
at
the
Fourth
Hospital
of
Hebei
Medical
University.
Comprehensive
immunohistochemical
fluorescent
PCR‐capillary
electrophoresis
analyses
were
conducted
determine
ACRG
subtypes
(microsatellite
instability
[MSI],
microsatellite
stability
epithelial–mesenchymal
transition
[MSS/EMT],
MSS/TP53
+
,
−
)
expression.
We
assessed
relationship
these
various
clinicopathological
parameters,
including
survival
outcomes,
using
Cox
regression
Kaplan–Meier
analysis.
Results
showed
significant
associations
features,
tumor
invasion
depth,
Lauren
classification,
HER2
status.
MSI
subtype
(6.7%
cases)
was
associated
higher
positivity
favorable
prognosis,
whereas
EMT
had
lowest
5‐year
rate
(34.55%)
predominantly
linked
diffuse‐type
histology.
correlated
worse
independent
value
alongside
(HR
=
1.759,
p
0.001;
HR
5.144,
<
0.001).
Conclusion
combination
expression
serves
as
an
predictor
facilitating
tailored
decision‐making.
ACRG‐PD‐L1
classification
system
offers
practical,
cost‐effective
approach
routine
application,
providing
critical
insight
into
heterogeneity.
Further
multicenter
studies
are
needed
validate
findings
explore
impact
on
therapy
responses,
particularly
immunotherapy
settings.
Язык: Английский