Sepsis
causes
millions
of
deaths
per
year
worldwide
and
is
a
current
global
health
priority
declared
by
the
WHO.
Sepsis-related
are
result
dysregulated
inflammatory
immune
responses
indicating
need
to
develop
strategies
target
inflammation.
An
important
mediator
inflammation
extracellular
adenosine
triphosphate
(ATP)
that
released
inflamed
host
cells
tissues,
also
bacteria
in
strain-specific
growth-dependent
manner.
Here,
we
investigated
mechanisms
which
release
ATP.
Using
genetic
mutant
strains
Escherichia
coli
(
E.
),
demonstrate
ATP
dependent
on
synthase
within
inner
bacterial
membrane.
In
addition,
impaired
integrity
outer
membrane
notably
contributes
associated
with
death.
mouse
model
abdominal
sepsis,
local
effects
were
analyzed
using
transformed
bearing
an
arabinose-inducible
periplasmic
apyrase
hydrolyzing
be
released.
Abrogating
shows
suppresses
responses,
resulting
reduced
neutrophil
counts
survival.
has
systemic
via
its
transport
vesicles
(OMV).
ATP-loaded
OMV
quickly
distributed
throughout
body
upregulated
expression
genes
activating
degranulation
neutrophils,
potentially
contributing
exacerbation
sepsis
severity.
This
study
reveals
roles
pathogenesis.
BMC Pediatrics,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 27, 2025
This
study
aims
to
explore
the
genetic
characteristics
of
pediatric
sepsis
through
a
combined
analysis
multiple
methods,
including
Mendelian
Randomization
(MR),
differential
gene
expression
analysis,
and
immune
cell
infiltration
assessment.
It
explores
their
potential
as
biomarkers
for
risk
involvement
in
immune-related
pathways.
Differential
was
performed
using
public
datasets
identify
genes
with
significant
changes
between
patients
healthy
controls.
MR
utilized
genome-wide
SNPs
instrumental
variables
assess
causal
relationships
risk.
Bi-directional
conducted
both
forward
reverse
causality.
FDR
correction
applied
adjust
comparisons
results.
Immune
investigate
genes'
roles
responses,
findings
were
validated
independent
datasets.
ROC
curves
constructed
predictive
performance.
identified
RGL4,ATP9A,MAP3K7CL,
DDX11L2.
revealed
associations
these
risk,
RGL4
ATP9A
upregulated
(inflammatory
roles),
MAP3K7CL
DDX11L2
downregulated
(protective
roles).
found
no
showed
key
types,
demonstrated
strong
potential.
play
important
response
regulation,
offering
insights
into
mechanisms
that
may
inform
future
research
treatment.
Journal of Nanobiotechnology,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: Feb. 6, 2025
Neutrophil
extracellular
traps
(NETs)
participate
in
both
host
defense
and
the
pathogenesis
of
various
diseases,
such
as
infections,
thrombosis,
tumors.
While
they
help
capture
eliminate
pathogens,
NETs'
excessive
or
dysregulated
formation
can
lead
to
tissue
damage
disease
progression.
Therapeutic
strategies
targeting
NET
modulation
have
shown
potential,
but
challenges
remain,
particularly
achieving
precise
drug
delivery
maintaining
stability.
Nanoparticle
(NP)-based
systems
offer
innovative
solutions
for
overcoming
limitations
conventional
therapies.
This
review
explores
biological
mechanisms
formation,
their
interactions
with
NPs,
therapeutic
applications
NP-based
modulating
NETs.
We
discuss
how
NPs
be
designed
either
promote
inhibit
provide
a
comprehensive
analysis
potential
treating
NET-related
diseases.
Additionally,
we
address
current
future
prospects
therapies
research,
aiming
bridge
gap
between
nanotechnology
development
novel
approaches.
Journal of Clinical Medicine,
Journal Year:
2025,
Volume and Issue:
14(5), P. 1461 - 1461
Published: Feb. 21, 2025
Background/Objectives:
Sepsis
is
basically
an
inflammatory
disease
that
involves
the
host’s
immune
response.
Granzyme
B,
a
cytotoxic
protease,
has
garnered
attention
for
its
involvement
in
modulating
responses.
This
study
aimed
to
elucidate
clinical
implications
of
granzyme
B
critically
ill
patients
with
sepsis,
focusing
on
plasma
levels
as
potential
prognostic
marker.
Methods:
We
conducted
retrospective
analysis
sequentially
collected
blood
samples
from
57
sepsis
admitted
medical
intensive
care
unit
at
Severance
Hospital,
tertiary
hospital
Seoul,
South
Korea.
Clinical
and
laboratory
data
were
comparatively
analyzed
between
28-day
survivors
nonsurvivors.
Results:
The
number
survivor
nonsurvivor
groups
was
32
(56.1%)
25
(43.9%),
respectively.
Compared
survivors,
nonsurvivors
had
higher
APACHE
II
(23.5
vs.
34,
p
=
0.007)
SOFA
(10
15,
0.001)
scores,
well
increased
serum
lactate
(1.8
9.2
mmol/L,
<
(28.2
71
pg/mL,
0.001).
exhibited
robust
area
under
receiving
operating
characteristic
(AUROC)
predicting
mortality
(AUROC
0.794),
comparable
(0.804),
(0.764),
(0.709).
combined
index
demonstrated
highest
AUROC
(0.838)
among
all
investigated
predictors.
Significant
positive
correlations
observed
log
various
cytokines,
including
IFN-γ
(r
0.780),
IL-4
0.540),
IL-10
0.534),
IL-6
0.520).
Conclusions:
Plasma
fair
short-term
prediction
ICU,
suggesting
utility
risk
stratification
managing
sepsis.
Journal of Cellular and Molecular Medicine,
Journal Year:
2025,
Volume and Issue:
29(4)
Published: Feb. 1, 2025
ABSTRACT
Inflammatory
bowel
disease
(IBD)
and
Sepsis
are
both
characterised
by
immune
dysregulation.
Notably,
IBD
is
a
factor
in
the
increase
septic
infections.
However,
these
two
conditions'
shared
molecular
pathophysiological
mechanisms
remain
unclear.
We
used
‘limma’
‘WGCNA’
analyses
to
identify
common
DEGs
between
conditions.
Single‐cell
RNA
sequencing
further
assessed
cell
heterogeneity.
machine
learning
algorithms
construct
diagnostic
markers
for
Sepsis,
which
we
then
validated
using
receiver
operating
characteristic
curve
(ROC)
analysis.
A
mouse
model
of
combined
with
was
constructed,
real‐time
PCR
western
blot
expression
BCL2A1
CEBPB.
It
found
that
58
identified
were
highly
enriched
inflammation‐related
pathways.
analysis
revealed
CD14
+
monocytes
(or
IL1B
macrophages)
primarily
express
hub
genes.
Both
conditions
significantly
increased
proportion
this
type
compared
healthy
controls.
Finally,
CEBPB
as
potential
biomarkers
have
strong
potential.
Furthermore,
confirmed
levels
elevated
mice
complicated
through
observed
exacerbates
progression
Sepsis.
conclude
macrophages
expressing
high
genes
play
key
role
dysregulation
associated
The
overlapping
gene
pathway
alterations
cells
indicate
mechanisms,
suggesting
new
strategies
targeted
therapeutic
interventions.
Journal of the American Chemical Society,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 3, 2025
Sepsis
presents
a
significant
medical
challenge
due
to
its
intense
inflammatory
response
infection,
often
resulting
in
high
mortality
rates.
A
promising
therapeutic
strategy
targets
the
cholinergic
anti-inflammatory
pathway
(CAIP),
which
regulates
immune
responses.
This
study
investigates
ingestion
of
piezoelectric
particles
that
adhere
stomach
lining,
specifically
targeting
TRPV1
receptors.
In
mouse
model
sepsis,
these
particles,
when
activated
by
low-intensity
pulsed
ultrasound,
generate
mild
electrical
pulses.
These
pulses
stimulate
vagal
afferent
fibers,
transmitting
signals
brain
and
modulating
neural-immune
network
via
CAIP.
Consequently,
this
leads
reduction
systemic
inflammation,
mitigating
weight
loss,
alleviating
multiple
tissue
injuries,
preventing
death
cells
spleen.
approach
addresses
critical
need
for
noninvasive
sepsis
therapies,
potentially
improving
patient
outcomes.
Utilizing
portable
ultrasound
equipment
with
minimal
thermal
effects,
technique
offers
safe
convenient
treatment
option,
even
home
use.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 10, 2025
Introduction
Sepsis,
a
critical
medical
condition
resulting
from
an
irregular
immune
response
to
infection,
leads
life-threatening
organ
dysfunction.
Despite
advancements,
the
need
for
research
into
dependable
diagnostic
markers
and
precise
therapeutic
targets.
Methods
We
screened
out
five
gene
expression
datasets
(GSE69063,
GSE236713,
GSE28750,
GSE65682
GSE137340)
Gene
Expression
Omnibus.
First,
we
merged
first
two
datasets.
then
identified
differentially
expressed
genes
(DEGs),
which
were
subjected
KEGG
GO
enrichment
analyses.
Following
this,
integrated
DEGs
with
key
modules
as
determined
by
Weighted
Co-expression
Network
Analysis
(WGCNA),
identifying
262
overlapping
genes.
12
core
subsequently
selected
using
three
machine-learning
algorithms:
random
forest
(RF),
Least
Absolute
Shrinkage
Selection
Operator
(LASSO),
Support
Vector
Machine-Recursive
Feature
Elimination
(SVW-RFE).
The
utilization
of
receiver
operating
characteristic
curve
in
conjunction
nomogram
model
served
authenticate
discriminatory
strength
efficacy
CIBERSORT
was
utilized
evaluate
inflammatory
immunological
sepsis.
Astragalus,
Salvia,
Safflower
are
primary
elements
Xuebijing,
commonly
used
clinical
treatment
Using
Traditional
Chinese
Medicine
Systems
Pharmacology
Database
Platform
(TCMSP),
chemical
constituents
these
herbs
their
target
Results
found
that
CD40LG
is
not
only
one
identified,
but
also
common
active
components
quercetin,
luteolin,
apigenin
herbs.
extracted
structure
ingredients
-flavonoids.
Through
docking
analysis,
further
validated
interaction
between
flavonoids
CD40LG.
Lastly,
blood
samples
collected
healthy
individuals
sepsis
patients,
without
administration
extraction
peripheral
mononuclear
cells
(PBMCs).
By
qPCR
WB
analysis.
observed
significant
differences
across
groups.
In
this
study,
pinpointed
candidate
hub
constructed
its
diagnosis.
Discussion
This
provides
potential
evidence
diagnosis
offers
insights
pathogenesis
disease
progression
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 26, 2025
This
study
aims
to
predict
and
diagnose
pediatric
septic
shock
through
the
screening
of
immune
infiltration-related
biomarkers.
Three
gene
expression
datasets
were
accessible
from
Gene
Expression
Omnibus
repository.
The
differentially
expressed
genes
identified
using
R
4.3.2
(
https://www.r-project.org/
),
followed
by
set
enrichment
analysis.
Thereafter,
utilizing
machine-learning
algorithms.
receiver
operating
characteristic
curve
was
employed
assess
discrimination
effectiveness
hub
genes.
inflammatory
status
evaluated
cell-type
identification
estimating
relative
subsets
RNA
transcripts
(CIBERSORT).
correlation
between
diagnostic
markers
infiltrating
cells
further
examined.
Overall,
we
detected
12
CD177,
MCEMP1,
MMP8,
OLAH
examined
as
indicators
for
shock,
revealing
statistically
significant
differences
(P
<
0.01)
efficacy
in
validation
cohort.
cell
infiltration
analysis
suggests
that
various
may
contribute
onset
shock.
Furthermore,
all
characteristics
exhibit
varying
degrees
with
cells.
identifies
four
potential
biomarkers—CD177,
OLAH—that
provide
value
novel
insights
into
dysregulation
Through
integration
bioinformatics
machine
learning
methodologies,
offer
a
perspective
on
mechanisms
involved
potentially
facilitating
more
targeted
personalized
therapies
individual
patients.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 7, 2025
AbstractBackground:
Free
testosterone
makes
up
only
1–2%
of
the
total
in
blood,
but
it
is
active
form
and
enters
cells
directly
to
work.
The
level
substantially
affected
by
sex
hormone-binding
globulin,
whereas
free
can
better
reflect
actual
biological
activity.
clinical
detection
levels
serum
important
for
diagnosis
related
diseases,
such
as
male
hypogonadism,
polycystic
ovary
syndrome,
metabolic
osteoporosis,
Alzheimer's
disease,
hypogonadism.
However,
existing
methods
have
problems,
insufficient
sensitivity,
complex
operation,
high
cost,
there
an
urgent
need
develop
efficient
accurate
technologies.
We
aimed
a
chemiluminescence
kit
conducted
comprehensive
performance
evaluation.
Methods:
content
was
quantified
using
competitive
immunoassay
method.
Free
derivatives
competed
binding
biotinylated
testosterone-specific
antibodies.
reaction
procedure
determined
concentration
magnetic
beads
optimized,
antibodies
were
biotinylated,
labeled
with
acridinium
ester,
working
concentrations
both
fine-tuned.
Following
determination
process,
assay
evaluated
through
series
tests
assessing
linearity,
limit
blank,
accuracy,
precision,
stability,
specificity,
relevance.
Samples
collected
from
1615
2035
female
patients,
their
measured.
Finally,
significance
diagnostic
applications
analyzed.
Results:
The
linear
r
>
0.99,
blank
0.021
pg/mL,
accuracy
deviation
<
5%,
imprecision
stability
lasted
12
months.
There
no
cross-reactivity
similar
substances.
In
total,
392
samples
analysis
methodological
comparison
conducted.
correlation
coefficient
0.9941,
meeting
requirements.
patient
detection.
showed
significant
differences
among
patients
different
diagnoses.
Prostate
malignancy
associated
lower
levels,
other
diagnoses
(such
those
hair
loss)
higher
levels.
Therefore,
could
serve
reference
indicator
assessment
certain
diseases.
Conclusion:
developed
this
study
exhibited
excellent
performance,
low
degree
automation.
It
fully
meets
requirements
When
tested
on
samples,
be
regarded
which
help
doctors
make
treatments