The
metabolites
in
exhaled
breath
(EB)
dynamically
reflect
the
metabolic
status
of
human
body
and
can
serve
as
biomarkers
for
health
management
disease
diagnosis.
However,
there
is
currently
a
lack
clinical
diagnostic
methods
rapid
metabolite
detection
EB
samples
metabolomic
data
processing.
In
this
project,
we
develop
method
that
uses
collecting
device
to
efficiently
collect
on
perfluoroethylene
propylene
(FEP)
modified
silicon
nanowires
(SiNWs).
sample
chips
are
directly
detected
by
nanostructure-initiator
mass
spectrometry
(NIMS),
(MS)
results
collected
dataset
analyzed
machine
learning
techniques.
FEP@SiNWs
improved
trapping
efficiency
laser
desorption/ionization
during
collection
detection,
enabling
analysis
with
good
stability
repeatability.
Through
technology,
MS
information
patients
pulmonary
nodules
healthy
people
was
processed,
characteristic
peaks
were
selected,
prediction
accuracy
(>95.4
%)
sensitivity
(92.6
–
98.5
model
tested.
Based
work,
have
potential
be
used
home
devices,
database
respiratory
diseases
via
established
future
research,
which
applied
diagnosis
intelligent
healthcare.
Frontiers in Molecular Biosciences,
Journal Year:
2024,
Volume and Issue:
10
Published: Jan. 8, 2024
Exhaled
breath
analysis,
with
particular
emphasis
on
volatile
organic
compounds,
represents
a
growing
area
of
clinical
research
due
to
its
obvious
advantages
over
other
diagnostic
tests.
Numerous
pathologies
have
been
extensively
investigated
for
the
identification
specific
biomarkers
in
exhalates
through
metabolomics.
However,
transference
tests
clinics
remains
limited,
mainly
deficiency
methodological
standardization.
Critical
steps
include
selection
sample
types,
collection
devices,
and
enrichment
techniques.
GC-MS
is
reference
analytical
technique
analysis
compounds
exhalates,
especially
during
biomarker
discovery
phase
This
review
comprehensively
examines
compares
metabolomic
studies
focusing
cancer,
lung
diseases,
infectious
diseases.
In
addition
delving
into
experimental
designs
reported,
it
also
provides
critical
discussion
aspects,
ranging
from
design
potential
pathology-specific
biomarkers.
Microchimica Acta,
Journal Year:
2024,
Volume and Issue:
191(4)
Published: March 13, 2024
Abstract
Detection
of
volatile
organic
compounds
(VOCs)
from
the
breath
is
becoming
a
viable
route
for
early
detection
diseases
non-invasively.
This
paper
presents
sensor
array
3
component
metal
oxides
that
give
maximal
cross-sensitivity
and
can
successfully
use
machine
learning
methods
to
identify
four
distinct
VOCs
in
mixture.
The
oxide
comprises
NiO-Au
(ohmic),
CuO-Au
(Schottky),
ZnO–Au
(Schottky)
sensors
made
by
DC
reactive
sputtering
method
having
film
thickness
80–100
nm.
NiO
CuO
films
have
ultrafine
particle
sizes
<
50
nm
rough
surface
texture,
while
ZnO
consist
nanoscale
platelets.
was
subjected
various
VOC
concentrations,
including
ethanol,
acetone,
toluene,
chloroform,
one
pair/mix
gases.
Thus,
response
values
show
severe
interference
departure
commonly
observed
power
law
behavior.
dataset
obtained
individual
gases
their
mixtures
were
analyzed
using
multiple
algorithms,
such
as
Random
Forest
(RF),
K-Nearest
Neighbor
(KNN),
Decision
Tree,
Linear
Regression,
Logistic
Naive
Bayes,
Discriminant
Analysis,
Artificial
Neural
Network,
Support
Vector
Machine.
KNN
RF
shown
more
than
99%
accuracy
classifying
different
varying
chemicals
gas
mixtures.
In
regression
analysis,
has
delivered
best
results
with
an
R
2
value
0.99
LOD
0.012
ppm,
0.015
0.014
0.025
ppm
predicting
concentrations
respectively,
complex
Therefore,
it
demonstrated
utilizing
provided
algorithms
classify
predict
simultaneously
disease
diagnosis
treatment
monitoring.
Graphical
Food & Function,
Journal Year:
2024,
Volume and Issue:
15(19), P. 9632 - 9661
Published: Jan. 1, 2024
Metabolic
syndrome
(MetS)
is
a
disease
condition
incorporating
the
abnormal
accumulation
of
various
metabolic
components,
including
obesity,
insulin
resistance
and
glucose
tolerance,
hypertension,
atherosclerosis,
or
dyslipidemia.
Advanced Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 4, 2024
Helicobacter
pylori
(HP),
a
common
microanaerobic
bacteria
that
lives
in
the
human
mouth
and
stomach,
is
reported
to
infect
≈50%
of
global
population.
The
current
diagnostic
methods
for
HP
are
either
invasive,
time-consuming,
or
harmful.
Therefore,
noninvasive
label-free
method
needs
be
developed
urgently.
Herein,
reduced
graphene
oxide
(rGO)
composited
with
different
metal-based
materials
construct
graphene-based
electronic
nose
(e-nose),
which
exhibits
excellent
sensitivity
cross-reactive
response
several
gases
exhaled
breath
(EB).
Principal
component
analysis
(PCA)
shows
four
typical
types
EB
can
well
discriminated.
Additionally,
potential
e-nose
detection
infection
demonstrated
through
measurement
samples.
Furthermore,
prototype
an
device
designed
constructed
automatic
diagnosis.
accuracy
machine
integrated
reach
92%
91%
training
validation
sets,
respectively.
These
results
demonstrate
highly
sensitive
has
great
diagnosis
may
become
novel
tool
non-invasive
disease
screening
Best Practice & Research Clinical Gastroenterology,
Journal Year:
2024,
Volume and Issue:
72, P. 101941 - 101941
Published: Aug. 3, 2024
Colorectal
cancer
is
the
third
most
common
type
of
cancer,
with
a
significant
burden
on
healthcare
and
social
systems.
Its
incidence
constantly
rising,
due
to
spread
unhealthy
lifestyle,
i.e.
Western
diet.
Increasing
evidence
suggests
that
westernization-driven
microbiome
alterations
may
play
critical
role
in
colorectal
tumorigenesis.
The
current
screening
strategies
for
this
neoplasm,
mainly
fecal
immunochemical
tests,
are
burdened
by
unsatisfactory
accuracy.
Novel,
non-invasive
biomarkers
rising
as
new
frontier
screening,
microbiome-based
ones
showing
positive
optimistic
results.
This
Review
describes
our
knowledge
gut
microbiota
from
its
pathogenetic
action
clinical
potential
diagnostic
biomarker.
BMC Veterinary Research,
Journal Year:
2025,
Volume and Issue:
21(1)
Published: Jan. 11, 2025
Diatomite
is
a
source
of
biologically
available
silicon
but
in
feed
industry
its
insecticide
and
anti-caking
properties
have
been
also
widely
recognized.
The
aim
the
study
was
to
evaluate
effect
dietary
diatomite-bentonite
mixture
(DBM)
supplementation
on
quantitative
qualitative
composition
bacterial
microbiome
broiler
chicken
gut.
trial
carried
out
960
Ross
308
chickens
divided
into
2
experimental
groups
throughout
entire
rearing
period
lasting
6
weeks.
birds
were
fed
complete
granulated
diets
without
(group
C)
or
with
DBM
E)
an
amount
1%
from
11
day
life.
Two
nutritionally
balanced
used,
tailored
age
broilers:
grower
diet
(from
34)
finisher
35
42
life).
used
bentonite
significantly
altered
microbiome.
Restricting
description
species
that
comprise
minimum
all
analyzed
sequences,
36
group
E
(with
diatomite)
30
C
(without
selected.
Several
bacteria
identified
intestinal
contents
for
first
time.
Thirteen
occurred
only
E:
Agathobaculum
butyriciproducens,
Anaerobutyricum
hallii,
soehngenii,
Blautia
producta
ATCC
27,340
=
DSM
2950,
Gordonibacter
pamelaeae
7-10-1-b,
Helicobacter
pullorum
NCTC
12,824,
Lactobacillus
crispatus,
L.
helveticus
20,075
CGMCC
1.1877,
Mucispirillum
schaedleri,
Phascolarctobacterium
faecium,
Phocaeicola
coprocola
17,136,
P.
massiliensis,
Ruthenibacterium
lactatiformans.
findings
highlight
intricate
potentially
consequential
relationship
between
diet,
specifically
supplementation,
gut
microbiota
composition.
Metabolomics,
Journal Year:
2025,
Volume and Issue:
21(1)
Published: Jan. 20, 2025
Breath
Volatile
organic
compounds
(VOCs)
are
promising
biomarkers
for
clinical
purposes
due
to
their
unique
properties.
Translation
of
VOC
into
the
clinic
depends
on
identification
and
validation:
a
challenge
requiring
collaboration,
well-established
protocols,
cross-comparison
data.
Previously,
we
developed
breath
collection
analysis
method,
resulting
in
148
breath-borne
VOCs
identified.
To
develop
complementary
analytical
method
detection
additional
from
breath.
implement
upgrades
methodology
identifying
features
determined
be
"on-breath"
by
comparing
samples
against
paired
background
applying
three
metrics:
standard
deviation,
t-test,
receiver-operating-characteristic
(ROC)
curve.
A
thermal
desorption
(TD)-gas
chromatography
(GC)-mass
spectrometry
(MS)-based
utilizing
PEG
phase
GC
column
was
biologically
relevant
VOCs.
The
multi-step
upgraded
through
several
developments:
candidate
grouping
schema,
ion
abundance
correlation
based
spectral
library
creation
approach,
hybrid
alkane-FAMES
retention
indexing,
relative
time
matching,
along
with
quality
checks.
In
combination,
these
updates
enable
highly
accurate
VOCs,
both
axes.
total
621
were
statistically
as
on-breath
at
least
one
metric
(standard
or
ROC).
38
able
confidently
identified
comparison
chemical
standards.
confirmed
is
now
186.
We
present
an
updated
high-confidence
identification,
new
set
commonly
found
on-breath.
Journal of Clinical and Translational Hepatology,
Journal Year:
2025,
Volume and Issue:
000(000), P. 000 - 000
Published: Jan. 22, 2025
Background
and
AimsEnd-stage
liver
disease
is
associated
with
disruptions
in
gut
microbiota
composition
function,
which
may
facilitate
gut-to-liver
bacterial
translocation,
impacting
graft
integrity
clinical
outcomes
following
transplantation.
This
study
aimed
to
assess
the
impact
of
two
preservation
methods
on
fecal
changes
breath
organic
acids
