Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 22, 2025
Sepsis
is
a
life-threatening
severe
organ
dysfunction,
and
the
pathogenesis
remains
uncertain.
Increasing
evidence
suggests
that
circRNAs,
mRNAs,
microRNAs
can
interact
to
jointly
regulate
development
of
sepsis.
Identifying
interaction
between
ceRNA
regulatory
networks
sepsis
may
contribute
our
deeper
understanding
sepsis,
bring
new
insights
into
early
recognition
treatment
Blood
samples
from
patients
in
Affiliated
Hospital
Southwest
Medical
University
were
collected.
RNA
sequencing
(mRNA/circRNA)
was
performed
on
Survivor
group
(n
=
26)
Non-survivor
6),
then
quality
control
differential
expression
analysis
performed.
Subsequently,
GO
genes;
Meta-analysis
used
screen
for
prognostic
related
10
×
Single-cell
annotate
cell
distribution
core
genes.
Finally,
combined
with
base
complementary
pairing
intergroup
correlation
analysis,
sepsis-associated
circRNA-miRNA-mRNA
network
constructed.
Differential
screened
28
mRNAs
16
circRNAs.
results
showed
genes
mainly
involved
membrane
raft,
actin
cytoskeleton,
regulation
immune
response,
negative
cAMP-dependent
protein
kinase
activity,
etc.
2
genes,
GSPT1
NPRL3,
which
are
associated
prognosis.
NPRL3
widely
localized
cells,
macrophages
T
cells.
A
consisting
4
circRNA,
26
miRNA,
mRNA
lowly
expressed
group,
compared
become
novel
biomarkers
sepsis-related
networks,
consists
gene,
guide
mechanistic
studies.
Journal of the American College of Emergency Physicians Open,
Journal Year:
2025,
Volume and Issue:
6(2), P. 100073 - 100073
Published: Feb. 21, 2025
To
aggregate
literature
on
the
diagnostic
performance
of
monocyte
distribution
width
(MDW)
for
sepsis
detection
among
adults
in
emergency
department
and
inpatient
settings.
We
searched
MEDLINE,
EMBASE,
SCOPUS,
Cochrane
databases
studies
evaluating
MDW
diagnosis
hospital
setting
through
October
19,
2024.
Two
authors
(G.E.
Q.H.)
independently
performed
eligibility
assessment,
data
extraction,
risk
bias
assessment.
evaluated
sepsis-2
sepsis-3
separately
applied
separate
thresholds
depending
anticoagulant
used
blood
collection.
Data
were
pooled
using
a
random-effects
model.
multiple
sensitivity
analyses
to
evaluate
stability
our
findings.
Twenty-five
observational
comprising
39,041
patients
included.
The
area
under
summary
receiver
operating
curve
(AUC)
was
0.82
(95%
CI,
0.78-0.85)
both
sepsis-3.
Sensitivity
specificity
0.79
0.74-0.83)
0.7
0.61-0.78)
0.83
0.78-0.88)
0.64
0.55-0.71)
threshold-independent
weighted-average
AUC
0.76
(SD,
0.1)
0.77
0.07)
negative
predictive
value
94%
96%
observed
similar
across
all
analyses.
assessed
overall
quality
evidence
be
low.
performs
similarly
other
biomarkers
such
as
procalcitonin
sepsis,
with
unique
advantage
rapid
availability
part
routine
testing.
Annals of Clinical Biochemistry International Journal of Laboratory Medicine,
Journal Year:
2020,
Volume and Issue:
58(1), P. 70 - 72
Published: Oct. 20, 2020
Monocyte
distribution
width
has
been
recently
proposed
as
a
sepsis
biomarker
in
the
emergency
department.
The
aim
of
this
study
was
to
assess
role
monocyte
diagnostic
intensive
care
unit.In
prospective
observational
study,
we
included
all
consecutive
patients
admitted
unit
University
Hospital
"P.
Giaccone"
Palermo.
Patients
were
classified
into
three
groups
according
Sepsis-3
criteria:
(1)
without
sepsis;
(2)
developing
during
their
hospital
stay;
(3)
with
sepsis.
measured
at
admission
(groups
1,
2,
3)
and
daily
until
(group
2)
or
end
hospitalization
1).Monocyte
significantly
higher
group
3
than
1
2
(30.9
[25.6-36.0]
vs.
20.3
[18.3-23.6]
21.4
[19.4-25.2]).
Among
belonging
values,
day
when
clinically
diagnosed,
those
found
admission:
29.4
(26.7-36.0)
(19.4-25.2),
P
=
0.001.Monocyte
could
represent
reliable
unit.
Mediators of Inflammation,
Journal Year:
2020,
Volume and Issue:
2020, P. 1 - 12
Published: Oct. 9, 2020
Sepsis
remains
a
major
global
concern
and
is
associated
with
high
mortality
morbidity
despite
improvements
in
its
management.
Markers
currently
use
have
shortcomings
such
as
lack
of
specificity
failures
the
early
detection
sepsis.
In
this
study,
we
aimed
to
identify
key
genes
involved
molecular
mechanisms
sepsis
search
for
potential
new
biomarkers
treatment
targets
using
bioinformatics
analyses.
Three
datasets
(GSE95233,
GSE57065,
GSE28750)
were
downloaded
from
public
functional
genomics
data
repository
Gene
Expression
Omnibus.
Differentially
expressed
(DEGs)
identified
R
packages
(Affy
limma).
Functional
enrichment
DEGs
was
analyzed
DAVID
database.
Protein-protein
interaction
networks
derived
STRING
database
visualized
Cytoscape
software.
Potential
biomarker
receiver
operating
characteristic
(ROC)
curves
package
(pROC).
The
three
included
156
whole
blood
RNA
samples
89
patients
67
healthy
controls.
Between
two
groups,
568
identified,
among
which
315
upregulated
253
downregulated
septic
group.
These
enriched
pathways
mainly
innate
immune
response,
T-cell
biology,
antigen
presentation,
natural
killer
cell
function.
ROC
analyses
nine
genes—LRG1,
ELANE,
TP53,
LCK,
TBX21,
ZAP70,
CD247,
ITK,
FYN—as
Real-time
PCR
confirmed
that
expression
seven
these
accordance
microarray
results.
This
study
revealed
imbalanced
responses
at
transcriptomic
level
during
Clinical Chemistry and Laboratory Medicine (CCLM),
Journal Year:
2021,
Volume and Issue:
59(9), P. 1600 - 1605
Published: April 13, 2021
Abstract
Objectives
In
this
study,
we
developed
and
evaluated
the
diagnostic
accuracy
of
Sepsis
Index
for
early
sepsis
screening
in
Emergency
Department
(ED).
Methods
is
based
on
combination
monocyte
distribution
width
(MDW)
mean
volume
(MMV).
Index≥1
was
selected
to
define
sepsis.
We
tested
its
an
ED
population
stratified
four
groups:
controls,
Systemic
Inflammatory
Response
Syndrome
(SIRS),
infection,
sepsis,
according
Sepsis-2
criteria.
Results
Patients
with
displayed
higher
median
value
than
patients
without
At
receiver
operating
characterictis
(ROC)
curve
analysis
prediction
area
under
(AUC)
MDW
were
similar:
0.966
(95%CI
0.947–0.984),
0.964
0.942–0.985),
respectively.
showed
increased
specificity
(94.7
vs.
90.6%),
any
decrease
sensitivity
(92.0%).
Additionally,
LR+
from
9.8
17.4
(Sepsis
Index),
substantial
change
LR−
(respectively
0.09
0.08).
Finally,
PPV
0.286
0.420
Index).
Conclusions
improves
alone
screening.
Medicina,
Journal Year:
2021,
Volume and Issue:
57(9), P. 920 - 920
Published: Sept. 1, 2021
Sepsis
and
septic
shock
represent
a
leading
cause
of
mortality
in
the
Emergency
Department
(ED)
Intensive
Care
Unit
(ICU).
For
these
life-threating
conditions,
different
diagnostic
prognostic
biomarkers
have
been
studied.
Proadrenomedullin
(MR-proADM)
is
biomarker
that
can
predict
organ
damage
risk
imminent
death
patients
with
shock,
as
shown
by
large
amount
data
literature.
The
aim
our
narrative
review
to
evaluate
role
MR-proADM
context
Medicine
summarize
current
knowledge
serum
indicator
useful
determine
an
early
diagnosis
long-term
sepsis
shock.
We
performed
electronic
literature
investigate
ED.
searched
papers
on
PubMed®,
Cochrane®,
UptoDate®,
Web
Science®
had
published
last
10
years.
Data
extracted
from
this
are
not
conclusive,
but
they
show
may
be
helpful
stratify
cases
degrees
damage,
guiding
emergency
physicians
succeeding
therapeutic
workup.
conditions
high
complexity
mortality.
In
ED,
crucial
order
provide
treatment
improve
patient
survival.
Diagnosis
prognosis
often
result
combination
several
tests.
opinion,
testing
for
directly
ED
could
contribute
improving
assessment
patients,
facilitating
subsequent
clinical
management
intensive
physicians,
more
studies
needed
confirm
results.
Clinical & Experimental Immunology,
Journal Year:
2024,
Volume and Issue:
216(3), P. 293 - 306
Published: Feb. 28, 2024
Sepsis
is
characterized
by
a
dysfunctional
host
response
to
infection
culminating
in
life-threatening
organ
failure
that
requires
complex
patient
management
and
rapid
intervention.
Timely
diagnosis
of
the
underlying
cause
sepsis
crucial,
identifying
those
at
risk
complications
death
imperative
for
triaging
treatment
resource
allocation.
Here,
we
explored
potential
explainable
machine
learning
models
predict
mortality
causative
pathogen
patients.
By
using
modelling
pipeline
employing
multiple
feature
selection
algorithms,
demonstrate
feasibility
integrative
patterns
from
clinical
parameters,
plasma
biomarkers,
extensive
phenotyping
blood
immune
cells.
While
no
single
variable
had
sufficient
predictive
power,
combined
five
more
features
showed
macro
area
under
curve
(AUC)
0.85
90-day
after
diagnosis,
AUC
0.86
discriminate
between
Gram-positive
Gram-negative
bacterial
infections.
Parameters
associated
with
cellular
contributed
most
mortality,
notably,
proportion
T
cells
among
PBMCs,
together
expression
CXCR3
CD4+
CD25
mucosal-associated
invariant
(MAIT)
Frequencies
Vδ2+
γδ
profound
impact
on
prediction
infections,
alongside
other
T-cell-related
variables
total
neutrophil
count.
Overall,
our
findings
highlight
added
value
measuring
activation
conventional
unconventional
patients
combination
immunological,
biochemical,
parameters.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(13), P. 7396 - 7396
Published: July 5, 2024
Sepsis
poses
a
significant
threat
to
human
health
due
its
high
morbidity
and
mortality
rates
worldwide.
Traditional
diagnostic
methods
for
identifying
sepsis
or
causative
organisms
are
time-consuming
contribute
rate.
Biomarkers
have
been
developed
overcome
these
limitations
currently
used
diagnosis,
prognosis
prediction,
treatment
response
assessment.
Over
the
past
few
decades,
more
than
250
biomarkers
identified,
of
which
in
clinical
decision-making.
Consistent
with
diagnosing
sepsis,
there
is
no
specific
sepsis.
Currently,
general
conservative
includes
timely
antibiotic
use
hemodynamic
support.
When
planning
sepsis-specific
treatment,
it
important
select
most
suitable
patient,
considering
heterogeneous
nature
This
comprehensive
review
summarizes
current
evolving
therapeutic
approaches
Journal of Clinical Laboratory Analysis,
Journal Year:
2020,
Volume and Issue:
34(2)
Published: Feb. 1, 2020
Abstract
Objective
This
study
aimed
to
explore
the
predictive
value
of
microRNA
(miR)‐125a
and
miR‐125b
for
sepsis
risk,
their
correlations
with
inflammation,
disease
severity,
28‐day
mortality
in
patients.
Methods
Totally,
150
patients
healthy
controls
(HCs)
were
enrolled.
Plasma
samples
separated
from
blood
obtained
HCs
detect
miR‐125a
expressions
by
real‐time
quantitative
polymerase
chain
reaction.
Besides,
was
assessed.
MiR‐125a
elevated
compared
HCs,
further
receiver
operating
characteristics
(ROC)
curve
analysis
displayed
that
(area
under
(AUC):
0.749,
95%
CI:
0.695‐0.803)
(AUC:
0.839,
0.795‐0.882)
could
predict
risk.
As
no
correlation
C‐reactive
protein
(CRP),
tumor
necrosis
factor‐α
(TNF‐α),
interleukin
(IL)‐6,
IL‐17,
IL‐23
observed
patients,
while
positively
associated
CRP,
TNF‐α,
IL‐6,
IL‐23.
Regarding
correlated
acute
physiology
chronic
health
care
evaluation
II
sequential
organ
failure
assessment
score
ROC
exhibited
failed
risk
0.588,
0.491‐0.685)
had
a
potential
predicting
0.699,
0.603‐0.795).
Conclusion
Both
only
exhibits
potency
management
prognosis
prediction
Microcirculation,
Journal Year:
2020,
Volume and Issue:
28(3)
Published: Nov. 25, 2020
Impaired
tissue
oxygen
delivery
is
a
major
cause
of
organ
damage
and
failure
in
critically
ill
patients,
which
can
occur
even
when
systemic
parameters,
including
cardiac
output
arterial
hemoglobin
saturation,
are
close
to
normal.
This
review
addresses
transport
mechanisms
at
the
microcirculatory
scale,
how
hypoxia
may
spite
adequate
convective
supply.
The
structure
microcirculation
intrinsically
heterogeneous,
with
wide
variations
vessel
diameters
flow
pathway
lengths,
consequently
also
blood
rates
levels.
dynamic
processes
structural
adaptation
regulation
continually
adjust
microvessel
compensate
for
heterogeneity,
redistributing
according
metabolic
needs
ensure
oxygenation.
A
key
role
played
by
conducted
responses,
generated
propagated
endothelial
cells
signal
upstream
arterioles
dilate
response
local
hypoxia.
Several
pathophysiological
conditions
impair
regulation,
causing
leading
failure.
Therapeutic
measures
targeted
parameters
not
address
or
worsen
oxygenation
microvascular
level.
Restoration
patients
depend
on
restoration
cell
function,
responses.