American Journal of Reproductive Immunology,
Год журнала:
2024,
Номер
93(1)
Опубликована: Дек. 30, 2024
This
study
aims
to
evaluate
the
role
of
systemic
immune-inflammation
index
(SII)
and
immune-response
(SIRI)
in
predicting
adverse
perinatal
outcomes
(APO)
pregnant
women
with
antiphospholipid
syndrome
(APS).
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Июль 2, 2024
Abstract
The
systemic
immune-inflammation
index
(SII),
a
metric
reflecting
inflammatory
response
and
immune
activation,
remains
underexplored
concerning
its
correlation
with
mortality
among
rheumatoid
arthritis
(RA)
patients.
This
study
aimed
to
delineate
the
association
between
SII
both
all-cause
cardiovascular
within
cohort
of
American
adults
diagnosed
RA,
utilizing
data
from
National
Health
Nutrition
Examination
Survey
(NHANES)
spanning
1999
2018.
investigation
extracted
NHANES
cycles
2018,
identifying
RA
patients
through
questionnaire
responses.
was
computed
based
on
complete
blood
counts,
employing
formula:
(platelets
×
neutrophils)
/
lymphocytes.
optimal
cutoff
value
for
significant
survival
outcomes
determined
using
maximally
selected
rank
statistics.
Multivariable
Cox
proportional
hazards
models
assessed
relationship
levels
(all-cause
cardiovascular)
patients,
subgroup
analyses
examining
potential
modifications
by
clinical
confounders.
Additionally,
restricted
cubic
spline
(RCS)
were
conducted
explore
linearity
SII-mortality
association.
encompassed
2070
whom
287
exhibited
higher
(≥
919.75)
1783
lower
(<
919.75).
Over
median
follow-up
duration
108
months,
602
participants
died.
After
adjustments
demographic,
socioeconomic,
lifestyle
variables,
associated
1.48-fold
increased
risk
(hazard
ratio
[HR]
=
1.48,
95%
confidence
interval
[CI]
1.21–1.81,
P
<
0.001)
1.51-fold
(HR
1.51,
CI
1.04–2.18,
0.030)
compared
SII.
Kaplan–Meier
corroborated
significantly
reduced
rates
(
0.0001
0.0004).
RCS
confirmed
positive
nonlinear
rates.
In
conclusion,
offers
straightforward
indicator
equilibrium
detrimental
innate
inflammation
beneficial
adaptive
immunity.
Our
investigation,
comprehensive
nationally
representative
sample,
reveals
that
elevated
independently
forecast
greater
all
causes,
as
well
cardiovascular-specific
mortality,
in
individuals
suffering
RA.
These
insights
underscore
relevance
an
affordable
readily
accessible
biomarker.
Its
incorporation
into
regular
practice
could
enhance
precision
assessment
forecasting
facilitating
more
tailored
effective
management
strategies.
Specifically,
high
be
identified
stringent
management,
including
closer
monitoring,
interventions,
aggressive
pharmacological
treatments
mitigate
their
mortality.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 14, 2025
Sepsis
is
a
severe
infectious
disease
with
high
mortality.
However,
the
indicators
used
to
evaluate
its
severity
and
prognosis
are
relatively
complicated.
The
systemic
inflammatory
response
index
(SIRI),
new
indicator,
has
shown
good
predictive
value
in
chronic
infection,
stroke,
cancer.
purpose
of
this
study
was
investigate
connection
between
sepsis
SIRI
usefulness.
A
total
401
patients
were
included
study.
Multiple
linear
regression
logistic
analyses
performed
relationship
sepsis.
restricted
cubic
spline
(RCS)
method
employed
illustrate
dose-response
relationship.
area
under
curve
(AUC)
decision
analysis
(DCA)
prognostic
SIRI.
revealed
significant
positive
correlation
both
blood
cell
count
Sequential
Organ
Failure
Assessment
(SOFA)
score.
Additionally,
higher
levels
significantly
linked
risk
worsening,
according
analysis.
RCS
demonstrated
that
poor
rose
increasing
SIRI,
particularly
when
exceeded
6.1.
Furthermore,
AUC
DCA
results
showed
had
superior
compared
traditional
indicators.
worse
more
may
serve
as
novel
indicator
sepsis,
though
further
clinical
studies
necessary
confirm
these
findings.
Journal of Inflammation Research,
Год журнала:
2024,
Номер
Volume 17, С. 6521 - 6532
Опубликована: Сен. 1, 2024
Gestational
diabetes
mellitus
(GDM)
is
a
prevalent
complication
during
pregnancy.
This
study
aimed
to
explore
the
associations
between
inflammatory
indices
pregnancy
and
development
of
GDM.
Frontiers in Medicine,
Год журнала:
2025,
Номер
11
Опубликована: Янв. 7, 2025
Hyperuricemia
is
the
underlying
condition
of
gout.
Previous
studies
have
indicated
that
specific
strategies
may
be
effective
in
preventing
progression
hyperuricemia
to
However,
there
a
lack
widely
applicable
methods
for
identifying
high-risk
populations
Gout
linked
inflammation,
especially
hyperuricemic
population.
Systemic
inflammation
response
index
(SIRI)
novel
method
evaluating
an
individual's
systemic
inflammatory
activity.
association
between
SIRI
and
gout
population
has
not
been
studied.
The
study
utilized
data
from
National
Health
Nutrition
Examination
Survey
(NHANES)
2007-2018.SIRI
was
log2-transformed
before
analysis.
Multivariable
logistic
regression,
subgroup
analysis,
smooth
curve
fitting
were
employed
comprehensively
evaluate
correlation
prevalence
Additionally,
we
compared
with
other
markers.
A
total
6,732
patients
included,
which
3,764
men.
After
adjusting
all
covariates,
found
significantly
positively
correlated
female
group
([OR
=
1.385,
95%
CI
(1.187,
1.615),
p
<
0.001]),
its
diagnostic
performance
superior
In
male
group,
log2-SIRI
significant
0.994,
(0.892,
1.108),
0.916]).
But
positive
correlations
20-45
age
1.362,
(1.021,
1.818),
0.036]).
Subgroup
analyses
revealed
results
largely
consistent
when
individuals
divided
into
different
subgroups
(FDR
adjusted
interaction
>0.05
all).
Our
suggests
Inflammation
Response
Index
potential
as
predictive
marker
risk
women.
given
higher
men,
this
limited.
analyses,
however,
relationship
prevalence,
well
statistical
significance,
varied
across
groups.
Future
research
could
further
explore
by
investigating
cohorts.
American Journal of Reproductive Immunology,
Год журнала:
2025,
Номер
93(2)
Опубликована: Фев. 1, 2025
ABSTRACT
Aim
This
study
aims
to
evaluate
the
relationship
between
systemic
inflammatory
markers,
derived
from
complete
blood
count
(CBC)
parameters,
and
spontaneous
preterm
labor.
By
comparing
these
markers
term
pregnancies,
seeks
determine
their
potential
predictive
value
for
adverse
neonatal
outcomes,
including
birth
weight,
APGAR
(appearance,
pulse,
grimace,
activity,
respiration)
scores,
intensive
care
unit
(NICU)
admission.
Methods
evaluated
in
478
women
with
labor
a
gestational
age‐matched
control
group.
Blood
samples
were
collected
prior
onset
of
assess
CBC
parameters
(white
cells
[WBC],
red
[RBC],
neutrophils,
lymphocytes,
platelet
counts),
as
well
various
ratios,
such
immune‐inflammation
index
(SII),
inflammation
response
(SIRI),
aggregate
(AISI).
Neonatal
NICU
admission,
recorded.
Results
The
group
showed
significantly
higher
WBC,
RBC,
neutrophil,
lymphocyte,
counts
compared
MLR,
MPR,
MPVLR
notably
lower
However,
hematological
demonstrated
limited
area
under
curve
(AUC)
values
hovering
around
0.5.
Conclusions
counts,
along
differ
groups
can
be
simple
test.
outcomes
remains
limited.
Frontiers in Cellular and Infection Microbiology,
Год журнала:
2025,
Номер
15
Опубликована: Фев. 11, 2025
Preterm
birth
(PTB)
is
a
major
cause
of
infant
morbidity
and
mortality.
The
aim
this
study
was
to
investigate
the
effect
vaginal
microbiota
metabolites
on
outcome
pregnant
women.
In
study,
total
127
women
provided
written
informed
consent
prior
enrollment
in
accordance
with
approved
institutional
guidelines,
but
only
45
pregnancies
met
experimental
requirements,
then
blood
cervical
fluid
(CVF)
samples
were
collected
before
delivery
(at
second
week
after
cerclage).
Pregnant
PTB
exhibited
high
white
cell
neutrophil
contents,
neutrophil-to-lymphocyte
ratio
(NLR),
systemic
inflammation
response
index
(SIRI)
blood.
Vaginal
microbiome
revealed
that
proportion
beneficial
bacteria
(including
Lactobacillus
,
[
Ruminococcus
]
gnavus
group
Megamonas
)
significantly
decreased
group,
harmful
Desulfovibrionaceae
Helicobacter
Gardnerella
increased,
which
strongly
related
biochemical
parameters
(white
cells,
neutrophils,
NLR,
SIRI).
addition,
metabolomics-based
liquid
chromatography–Orbitrap–tandem
mass
spectrometry
(LC-Orbitrap-MS/MS)
found
alteration
involved
starch
sucrose
metabolism;
arginine
praline
galactose
purine
tryptophan
metabolism
N-glycan
biosynthesis;
cysteine
methionine
taurine
hypotaurine
amino
acid
propanoate
valine,
leucine,
isoleucine
glycine,
serine,
threonine
steroid
hormone
biosynthesis.
These
results
elaborated
distinct
metabolome
profiles
preterm
following
cerclage
provide
valuable
information
for
establishing
prediction
models
PTB.
ABSTRACT
Objective
To
investigate
the
association
between
systemic
immunity‐inflammation
index
(SII)
and
fatigue,
cancer,
cancer‐related
fatigue
(CRF)
populations.
Methods
The
National
Health
Nutrition
Examination
Survey
(NHANES)
from
2005
to
2018
provided
data
for
this
retrospective
cross‐sectional
study.
By
dividing
platelet
count
by
neutrophil
lymphocyte
count,
SII
was
calculated.
Participants
were
categorized
into
four
groups:
normal,
(CRF),
with
normal
group
serving
as
reference.
Binary
logistic
regression
applied
assess
correlations.
dose–response
relationship
outcomes
in
groups
evaluated
using
restricted
cubic
splines.
Use
threshold
effect
analysis
determine
optimal
value
each
of
three
groups.
Stratified
subgroup
analyses
performed
based
on
sociodemographic
factors
confounders,
specific
attention
severity
levels
(mild,
moderate,
severe)
CRF
Results
Data
included
a
total
32,491
participants,
including
14,846
group,
14,581
1520
cancer
1544
group.
results
binary
showed
that
positively
correlated
(1.43[1.33,
1.55]),
(1.67
[1.43,
1.95])
(1.93
[1.66,
2.25]).
Restricted
spline
revealed
linear
outcomes.
values
(k)
these
identified
464.78
×
10
3
cells/μL,
448.97
454.65
respectively.
indicates
most
exhibit
significant
differences.
indicated
increased
higher
levels,
exhibiting
highest
rate
severe
(171%
increase).
Conclusion
is
way.
Higher
are
associated
greater
particularly
population.
Studying
models
of
healthy
aging
and
exceptional
longevity
is
crucial
to
understand
a
possible
signature
as
most
them
show
resistance
age-related
diseases.
In
particular,
semi-
supercentenarians
are
highly
selected
group,
having
survived
significant
adversities,
including
the
Spanish
Flu
COVID-19
pandemics,
indicating
distinctive
immune
system
characteristics.
This
paper
analyse
inflammatory
scores
(INFLA-score,
Systemic
Inflammation
Response
Index
(SIRI))
Aging-Related
Immune
Phenotype
(ARIP)
indicators
calculated
from
dataset
DESIGN
project,
249
participants
aged
19-111
years,
trying
immune-inflammatory
(IMFLAM)
role
achieve
longevity.
Statistical
analyses,
linear
regression
one-way
ANOVA,
were
performed
explore
correlations
between
these
parameters
age.
Both
INFLA-score
SIRI
showed
increase
with
However,
no
statistical
difference
observed
when
analysing
values
for
those
other
age
groups,
whose
similar
that
adults
less
than
younger
centenariansRegarding
ARIP
values,
it
noteworthy
comparing
CD8
Naive/Effector
differences
supercentenarian
group
groups.
These
results
support
idea
control
IMFLAM
response
can
promote
extreme