PLoS ONE,
Journal Year:
2015,
Volume and Issue:
10(5), P. e0124219 - e0124219
Published: May 27, 2015
Many
diseases
cause
significant
changes
to
the
concentrations
of
small
molecules
(aka
metabolites)
that
appear
in
a
person's
biofluids,
which
means
such
can
often
be
readily
detected
from
"metabolic
profile".
This
information
extracted
biofluid's
NMR
spectrum.
Today,
this
is
done
manually
by
trained
human
experts,
process
relatively
slow,
expensive
and
error-prone.
paper
presents
tool,
Bayesil,
quickly,
accurately
autonomously
produce
complex
(e.g.,
serum
or
CSF)
metabolic
profile
1D1H
requires
first
performing
several
spectral
processing
steps
then
matching
resulting
spectrum
against
reference
compound
library,
contains
"signatures"
each
relevant
metabolite.
these
are
novel
algorithms
our
step
views
as
an
inference
problem
within
probabilistic
graphical
model
rapidly
approximates
most
probable
profile.
Our
extensive
studies
on
diverse
set
mixtures,
show
Bayesil
find
concentration
all
NMR-detectable
metabolites
(~90%
correct
identification
~10%
quantification
error),
<5minutes
single
CPU.
These
results
demonstrate
fully-automatic
publicly-accessible
system
provides
quantitative
profiling
effectively
--
with
accuracy
meets
exceeds
performance
experts.
We
anticipate
tool
will
usher
high-throughput
metabolomics
enable
wealth
new
applications
clinical
settings.
Available
at
http://www.bayesil.ca.
Nucleic Acids Research,
Journal Year:
2017,
Volume and Issue:
46(D1), P. D608 - D617
Published: Oct. 23, 2017
The
Human
Metabolome
Database
or
HMDB
(www.hmdb.ca)
is
a
web-enabled
metabolomic
database
containing
comprehensive
information
about
human
metabolites
along
with
their
biological
roles,
physiological
concentrations,
disease
associations,
chemical
reactions,
metabolic
pathways,
and
reference
spectra.
First
described
in
2007,
the
now
considered
standard
resource
for
studies.
Over
past
decade
has
continued
to
grow
evolve
response
emerging
needs
metabolomics
researchers
continuing
changes
web
standards.
This
year's
update,
4.0,
represents
most
significant
upgrade
its
history.
For
instance,
number
of
fully
annotated
increased
by
nearly
threefold,
experimental
spectra
grown
almost
fourfold
illustrated
pathways
factor
60.
Significant
improvements
have
also
been
made
HMDB's
taxonomy,
ontology,
spectral
viewing,
spectral/text
searching
tools.
A
great
deal
brand
new
data
added
4.0.
includes
large
quantities
predicted
MS/MS
GC-MS
as
well
(physiologically
feasible)
metabolite
structures
facilitate
novel
identification.
Additional
on
metabolite-SNP
interactions
influence
drugs
levels
(pharmacometabolomics)
added.
Many
other
important
content,
interface,
performance
website
these
should
greatly
enhance
ease
use
potential
applications
nutrition,
biochemistry,
clinical
chemistry,
genetics,
medicine,
science.
Journal of Proteome Research,
Journal Year:
2015,
Volume and Issue:
14(8), P. 3322 - 3335
Published: June 19, 2015
Urine
metabolomics
is
widely
used
for
biomarker
research
in
the
fields
of
medicine
and
toxicology.
As
a
consequence,
characterization
variations
urine
metabolome
under
basal
conditions
becomes
critical
order
to
avoid
confounding
effects
cohort
studies.
Such
physiological
information
however
very
scarce
literature
databases
so
far.
Here
we
studied
influence
age,
body
mass
index
(BMI),
gender
on
metabolite
concentrations
large
183
adults
by
using
liquid
chromatography
coupled
with
high-resolution
spectrometry
(LC-HRMS).
We
implemented
comprehensive
statistical
workflow
univariate
hypothesis
testing
modeling
orthogonal
partial
least-squares
(OPLS),
which
made
available
community
within
online
Workflow4Metabolomics.org
resource.
found
108
metabolites
displaying
concentration
either
BMI,
or
gender,
integrating
results
from
p-values
multivariate
variable
importance
projection
(VIP).
Several
clusters
were
further
evidenced
correlation
analysis,
they
allowed
stratification
cohort.
In
conclusion,
our
study
highlights
impact
age
urinary
metabolome,
thus
it
indicates
that
these
factors
should
be
taken
into
account
design
Metabolites,
Journal Year:
2019,
Volume and Issue:
9(7), P. 123 - 123
Published: June 27, 2019
Over
the
past
two
decades,
nuclear
magnetic
resonance
(NMR)
has
emerged
as
one
of
three
principal
analytical
techniques
used
in
metabolomics
(the
other
being
gas
chromatography
coupled
to
mass
spectrometry
(GC-MS)
and
liquid
with
single-stage
(LC-MS)).
The
relative
ease
sample
preparation,
ability
quantify
metabolite
levels,
high
level
experimental
reproducibility,
inherently
nondestructive
nature
NMR
spectroscopy
have
made
it
preferred
platform
for
long-term
or
large-scale
clinical
metabolomic
studies.
These
advantages,
however,
are
often
outweighed
by
fact
that
most
techniques,
including
both
LC-MS
GC-MS,
more
sensitive
than
NMR,
lower
limits
detection
typically
10
100
times
better.
This
review
is
intended
introduce
readers
field
NMR-based
highlight
advantages
disadvantages
It
will
also
explore
some
unique
strengths
metabolomics,
particularly
regard
isotope
selection/detection,
mixture
deconvolution
via
2D
spectroscopy,
automation,
noninvasively
analyze
native
tissue
specimens.
Finally,
this
a
number
emerging
technologies
strengthen
its
utility
overcome
inherent
limitations
applications.
European Journal of Immunology,
Journal Year:
2019,
Volume and Issue:
49(10), P. 1457 - 1973
Published: Oct. 1, 2019
These
guidelines
are
a
consensus
work
of
considerable
number
members
the
immunology
and
flow
cytometry
community.
They
provide
theory
key
practical
aspects
enabling
immunologists
to
avoid
common
errors
that
often
undermine
immunological
data.
Notably,
there
comprehensive
sections
all
major
immune
cell
types
with
helpful
Tables
detailing
phenotypes
in
murine
human
cells.
The
latest
techniques
applications
also
described,
featuring
examples
data
can
be
generated
and,
importantly,
how
analysed.
Furthermore,
tips,
tricks
pitfalls
avoid,
written
peer-reviewed
by
leading
experts
field,
making
this
an
essential
research
companion.
Physiological Reviews,
Journal Year:
2019,
Volume and Issue:
99(4), P. 1819 - 1875
Published: Aug. 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.
Frontiers in Bioengineering and Biotechnology,
Journal Year:
2015,
Volume and Issue:
3
Published: March 5, 2015
Metabolomics
comprises
the
methods
and
techniques
that
are
used
to
measure
small
molecule
composition
of
biofluids
tissues,
is
actually
one
most
rapidly
evolving
research
fields.
The
determination
metabolomic
profile
–the
metabolome-
has
multiple
applications
in
many
biological
sciences,
including
developing
new
diagnostic
tools
medicine.
Recent
technological
advances
nuclear
magnetic
resonance
(NMR)
mass
spectrometry
(MS)
significantly
improving
our
capacity
obtain
more
data
from
each
sample.
Consequently,
there
a
need
for
fast
accurate
statistical
bioinformatic
can
deal
with
complexity
volume
generated
studies.
In
this
review
we
provide
an
update
commonly
analytical
metabolomics,
starting
raw
processing
ending
pathway
analysis
biomarker
identification.
Finally,
integration
profiles
molecular
other
high
throughput
biotechnologies
also
reviewed.
The FASEB Journal,
Journal Year:
2017,
Volume and Issue:
31(4), P. 1273 - 1288
Published: Jan. 13, 2017
Practitioners
of
ancient
societies
from
the
time
Hippocrates
and
earlier
recognized
treated
signs
inflammation,
heat,
redness,
swelling,
pain
with
agents
that
block
or
inhibit
proinflammatory
chemical
mediators.
More
selective
drugs
are
available
today,
but
this
therapeutic
concept
has
not
changed.
Because
acute
inflammatory
response
is
host
protective
to
contain
foreign
invaders,
much
today's
pharmacopeia
can
cause
serious
unwanted
side
effects,
such
as
immune
suppression.
Uncontrolled
inflammation
now
considered
path-ophysiologic
associated
many
widely
occurring
diseases
cardiovascular
disease,
neurodegen-erative
diseases,
diabetes,
obesity,
asthma,
well
classic
(e.g.,
arthritis
periodontal
diseases).
The
response,
when
self-limited,
produces
a
superfamily
media-tors
stimulate
resolution
response.
Specialized
proresolving
mediators
(SPMs),
identified
in
recent
years,
endogenous
include
n-3–derived
families
resolvins,
protectins,
maresins,
arachidonic
acid–derived
(n-6)
lipoxins,
which
promote
clearance
microbes,
reduction
pain,
promotion
tissue
regeneration
via
novel
mechanisms.
Aspirin
statins
have
positive
impact
on
these
pathways,
producing
epimeric
forms
specific
SPMs,
whereas
other
disrupt
timely
resolution.
In
article,
evidence
human
preclinical
animal
studies
reviewed,
indicating
SPMs
physiologic
pharmacologic
agonists
infection.
findings
suggest
it
challenge
current
treatment
practices—namely,
using
inhibitors
antagonists
alone—and
develop
immunoresolvents
test
pharmacology
their
role
catabasis
for
potential.
—Serhan,
C.
N.
Treating
infection
21st
century:
new
hints
decoding
FASEB
J.
31,
1273–1288
(2017)
www.fasebj.org
Gut,
Journal Year:
2016,
Volume and Issue:
66(7), P. 1241 - 1251
Published: March 14, 2016
Objective
To
gain
mechanistic
insights,
we
compared
effects
of
low
fermentable
oligosaccharides,
disaccharides
and
monosaccharides
polyols
(FODMAP)
high
FODMAP
diets
on
symptoms,
the
metabolome
microbiome
patients
with
IBS.
Design
We
performed
a
controlled,
single
blind
study
IBS
(Rome
III
criteria)
randomised
to
(n=20)
or
diet
for
3
weeks.
Symptoms
were
assessed
using
symptom
severity
scoring
(IBS-SSS).
The
was
evaluated
lactulose
breath
test
(LBT)
metabolic
profiling
in
urine
mass
spectrometry.
Stool
microbiota
composition
analysed
by
16S
rRNA
gene
profiling.
Results
Thirty-seven
(19
FODMAP;
18
FODMAP)
completed
3-week
diet.
IBS-SSS
reduced
group
(p<0.001)
but
not
group.
LBTs
showed
minor
decrease
H
2
production
Metabolic
groups
differed
significantly
after
(p<0.01),
three
metabolites
(histamine,
p-hydroxybenzoic
acid,
azelaic
acid)
being
primarily
responsible
discrimination
between
two
groups.
Histamine,
measure
immune
activation,
eightfold
(p<0.05).
Low
increased
Actinobacteria
richness
diversity,
decreased
relative
abundance
bacteria
involved
gas
consumption.
Conclusions
symptoms
are
linked
content
associated
alterations
metabolome.
In
subsets
patients,
FODMAPs
modulate
histamine
levels
microbiota,
both
which
could
alter
symptoms.
Trial
registration
number
NCT01829932.