Abstract
Introduction
The
diagnosis
of
COVID-19
is
normally
based
on
the
qualitative
detection
viral
nucleic
acid
sequences.
Properties
host
response
are
not
measured
but
key
in
determining
outcome.
Although
metabolic
profiles
well
suited
to
capture
state,
most
metabolomics
studies
either
underpowered,
measure
only
a
restricted
subset
metabolites,
compare
infected
individuals
against
uninfected
control
cohorts
that
suitably
matched,
or
do
provide
compact
predictive
model.
Objectives
Here
we
well-powered,
untargeted
assessment
120
patient
samples
acquired
at
hospital
admission.
study
aims
predict
patient’s
infection
severity
(i.e.,
mild
severe)
and
potential
outcome
discharged
deceased).
Methods
High
resolution
UHPLC-MS/MS
analysis
was
performed
serum
using
both
positive
negative
ionization
modes.
A
20
intermediary
metabolites
were
selected
univariate
statistical
significance
multiple
predictor
Bayesian
logistic
regression
model
created.
Results
predictors
for
their
relevant
biological
function
include
deoxycytidine
ureidopropionate
(indirectly
reflecting
load),
kynurenine
(reflecting
inflammatory
response),
short
chain
acylcarnitines
(energy
metabolism)
among
others.
Currently,
this
approach
predicts
with
Monte
Carlo
cross
validated
area
under
ROC
curve
0.792
(SD
0.09)
0.793
0.08),
respectively.
blind
validation
an
additional
90
patients
predicted
AUC
0.83
(CI
0.74–0.91)
0.76
0.67–0.86).
Conclusion
Prognostic
tests
markers
discussed
paper
could
allow
improvement
planning
treatment.
Physiological Reviews,
Год журнала:
2019,
Номер
99(4), С. 1819 - 1875
Опубликована: Авг. 22, 2019
Metabolomics
uses
advanced
analytical
chemistry
techniques
to
enable
the
high-throughput
characterization
of
metabolites
from
cells,
organs,
tissues,
or
biofluids.
The
rapid
growth
in
metabolomics
is
leading
a
renewed
interest
metabolism
and
role
that
small
molecule
play
many
biological
processes.
As
result,
traditional
views
as
being
simply
“bricks
mortar”
cells
just
fuel
for
cellular
energetics
are
upended.
Indeed,
appear
have
much
more
varied
far
important
roles
signaling
molecules,
immune
modulators,
endogenous
toxins,
environmental
sensors.
This
review
explores
how
yielding
new
insights
into
number
physiological
In
particular,
major
focus
on
illustrating
discoveries
made
through
improving
our
understanding
both
normal
physiology
pathophysiology
diseases.
These
influence
organ
function,
nutrient
sensing,
gut
physiology.
Collectively,
this
work
unified
system-wide
perspective
biology
wherein
metabolites,
proteins,
genes
understood
interact
synergistically
modify
actions
functions
organelles,
organisms.
CA A Cancer Journal for Clinicians,
Год журнала:
2021,
Номер
71(4), С. 333 - 358
Опубликована: Май 13, 2021
Abstract
Cancer
has
myriad
effects
on
metabolism
that
include
both
rewiring
of
intracellular
to
enable
cancer
cells
proliferate
inappropriately
and
adapt
the
tumor
microenvironment,
changes
in
normal
tissue
metabolism.
With
recognition
fluorodeoxyglucose‐positron
emission
tomography
imaging
is
an
important
tool
for
management
many
cancers,
other
metabolites
biological
samples
have
been
spotlight
diagnosis,
monitoring,
therapy.
Metabolomics
global
analysis
small
molecule
like
‐omics
technologies
can
provide
critical
information
about
state
are
otherwise
not
apparent.
Here,
authors
review
how
therapies
interact
with
at
cellular
systemic
levels.
An
overview
metabolomics
provided
a
focus
currently
available
they
applied
clinical
translational
research
setting.
The
also
discuss
could
be
further
leveraged
future
improve
patients
cancer.
Journal of Lipid Research,
Год журнала:
2018,
Номер
59(10), С. 2001 - 2017
Опубликована: Авг. 16, 2018
Human
blood
is
a
self-regenerating
lipid-rich
biological
fluid
that
routinely
collected
in
hospital
settings.
The
inventory
of
lipid
molecules
found
plasma
(plasma
lipidome)
offers
insights
into
individual
metabolism
and
physiology
health
disease.
Disturbances
the
lipidome
also
occur
conditions
are
not
directly
linked
to
metabolism;
therefore,
lipidomics
based
on
MS
an
emerging
tool
array
clinical
diagnostics
disease
management.
However,
challenges
exist
translation
such
lipidomic
data
applications.
These
relate
reproducibility,
accuracy,
precision
quantitation,
study
design,
sample
handling,
sharing.
This
position
paper
emerged
from
workshop
initiated
community-led
process
elaborate
define
set
generally
accepted
guidelines
for
quantitative
MS-based
or
serum,
with
harmonization
acquired
different
instrumentation
platforms
across
independent
laboratories
as
ultimate
goal.
We
hope
other
fields
may
benefit
follow
precedent.
Environment International,
Год журнала:
2020,
Номер
139, С. 105545 - 105545
Опубликована: Апрель 29, 2020
Large-scale
suspect
and
non-targeted
screening
approaches
based
on
high-resolution
mass
spectrometry
(HRMS)
are
today
available
for
chemical
profiling
holistic
characterisation
of
biological
samples.
These
advanced
techniques
allow
the
simultaneous
detection
a
large
number
features,
including
markers
human
exposure.
Such
interest
biomonitoring,
environmental
health
studies
support
to
risk
assessment.
Furthermore,
these
have
promising
capability
detect
chemicals
emerging
concern
(CECs),
document
extent
exposure,
generate
new
research
hypotheses
provide
early
warning
policy.
Whilst
growing
importance
in
environment
food
safety
areas,
respectively,
CECs
remain
poorly
addressed
field
biomonitoring.
This
shortfall
is
due
several
scientific
methodological
reasons,
global
lack
harmonisation.
In
this
context,
main
aim
paper
present
an
overview
basic
principles,
promises
challenges
applied
samples
as
specific
introduce
major
specificities
compared
other
fields.
Focused
liquid
chromatography
coupled
HRMS-based
data
acquisition
methods,
addresses
all
steps
analytical
workflows.
Beyond
general
picture,
activities
carried
out
topic
within
particular
framework
European
Human
Biomonitoring
initiative
(project
HBM4EU,
2017–2021)
described,
with
emphasis
harmonisation
measures.
Metabolites,
Год журнала:
2020,
Номер
10(12), С. 505 - 505
Опубликована: Дек. 10, 2020
Adverse
environmental
conditions
due
to
climate
change,
combined
with
declining
soil
fertility,
threaten
food
security.
Modern
agriculture
is
facing
a
pressing
situation
where
novel
strategies
must
be
developed
for
sustainable
production
and
Biostimulants,
conceptually
defined
as
non-nutrient
substances
or
microorganisms
the
ability
promote
plant
growth
health,
represent
potential
provide
economically
favorable
solutions
that
could
introduce
approaches
improve
agricultural
practices
crop
productivity.
Current
knowledge
phenotypic
observations
suggest
biostimulants
potentially
function
in
regulating
modifying
physiological
processes
plants
growth,
alleviate
stresses,
quality
yield.
However,
successfully
develop
biostimulant-based
formulations
programs,
understanding
biostimulant-plant
interactions,
at
molecular,
cellular
levels,
prerequisite.
Metabolomics,
multidisciplinary
omics
science,
offers
unique
opportunities
predictively
decode
mode
of
action
on
plants,
identify
signatory
markers
biostimulant
action.
Thus,
this
review
intends
highlight
current
scientific
efforts
gaps
research
industry,
context
promotion
stress
responses.
The
firstly
revisits
models
have
been
elucidated
describe
molecular
machinery
employed
by
coping
stresses.
Furthermore,
definitions,
claims
applications
are
pointed
out,
also
indicating
lack
biological
basis
accurately
postulate
mechanisms
biostimulants.
articulates
briefly
key
aspects
metabolomics
workflow
(potential)
science
industry.
Bioanalysis,
Год журнала:
2019,
Номер
11(24), С. 2297 - 2318
Опубликована: Дек. 1, 2019
Metabolomics
is
the
comprehensive
study
of
small-molecule
metabolites.
Obtaining
a
wide
coverage
metabolome
challenging
because
broad
range
physicochemical
properties
small
molecules.
To
compounds
interest
spectroscopic
(NMR),
spectrometric
(MS)
and
separation
techniques
(LC,
GC,
supercritical
fluid
chromatography,
CE)
are
used.
The
choice
for
given
technique
influenced
by
sample
matrix,
concentration
metabolites,
amount
sample.
This
review
discusses
most
commonly
used
analytical
metabolomic
studies,
including
their
advantages,
drawbacks
some
applications.
Metabolites,
Год журнала:
2019,
Номер
9(6), С. 108 - 108
Опубликована: Июнь 6, 2019
Metabolomics
is
one
of
the
latest
omics
technologies
that
has
been
applied
successfully
in
many
areas
life
sciences.
Despite
being
relatively
new,
a
plethora
publications
over
years
have
exploited
opportunities
provided
through
this
data
and
question
driven
approach.
Most
importantly,
metabolomics
studies
produced
great
breakthroughs
biomarker
discovery,
identification
novel
metabolites
more
detailed
characterisation
biological
pathways
organisms.
However,
translation
research
outcomes
into
clinical
tests
user-friendly
interfaces
hindered
due
to
factors,
some
which
outlined
hereafter.
This
position
paper
summary
discussion
on
translational
undertaken
during
peer
session
Australian
New
Zealand
Conference
(ANZMET
2018)
held
Auckland,
Zealand.
Here,
we
discuss
key
including
existing
challenges
suggested
solutions,
as
well
how
expand
industrial
application
metabolomics.
In
addition,
share
our
perspective
full
capability
can
be
explored.
Analytical Chemistry,
Год журнала:
2020,
Номер
92(13), С. 8836 - 8844
Опубликована: Июнь 3, 2020
Reference
standardization
was
developed
to
address
quantification
and
harmonization
challenges
for
high-resolution
metabolomics
(HRM)
data
collected
across
different
studies
or
analytical
methods.
relies
on
the
concurrent
analysis
of
calibrated
pooled
reference
samples
at
predefined
intervals
enables
a
single-step
batch
correction
high-throughput
metabolomics.
Here,
we
provide
quantitative
measures
approximately
200
metabolites
each
three
materials
(220
Qstd3,
211
CHEAR,
204
NIST1950)
show
application
this
approach
supports
from
3677
human
in
17
separate
analyzed
by
two
complementary
HRM
methods
over
17-month
period.
The
results
establish
as
method
suitable
harmonizing
large-scale
extending
capabilities
quantify
large
numbers
known
unidentified
detected
mass
spectrometry
