bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 13, 2024
Abstract
Metabolomics
is
the
discipline
that
aims
to
determine
whole
metabolic
profile
of
a
complex
mixture.
These
studies
are
useful
capture
physiological
status
an
organism
at
given
moment.
Even
though
main
technique
used
in
metabolomics
Mass
Spectrometry
coupled
chromatography,
recent
years,
interest
Nuclear
Magnetic
Resonance
(NMR)
increasing
because
some
benefits
NMR,
i.e.,
it
non-invasive,
highly
reproducible,
and
inherently
quantitative
technique.
However,
difficulties
data
analysis
comprise
one
reasons
hinder
standardization
NMR
for
metabolomic
research.
In
this
work,
we
applied
automated
workflow
NMR-based
study
vernalization
strawberry.
Vernalization
key
process
obtaining
successful
strawberry
crop,
however,
molecular
mechanisms
behind
remain
still
unknown.
We
expect
work
improve
knowledge
crop
metabolism
—specifically
process—
while
promoting
use
conjunction
with
computational
tools
agriculture
studies.
Foods,
Journal Year:
2024,
Volume and Issue:
13(23), P. 3886 - 3886
Published: Dec. 1, 2024
Foodborne
pathogens
are
microorganisms
that
cause
illness
through
contamination,
presenting
significant
risks
to
public
health
and
food
safety.
This
review
explores
the
metabolites
produced
by
these
pathogens,
including
toxins
secondary
metabolites,
their
implications
for
human
health,
particularly
concerning
cancer
risk.
We
examine
various
such
as
Salmonella
sp.,
Campylobacter
Escherichia
coli,
Listeria
monocytogenes,
detailing
specific
of
concern
carcinogenic
mechanisms.
study
discusses
analytical
techniques
detecting
chromatography,
spectrometry,
immunoassays,
along
with
challenges
associated
detection.
covers
effective
control
strategies,
processing
techniques,
sanitation
practices,
regulatory
measures,
emerging
technologies
in
pathogen
control.
manuscript
considers
broader
highlighting
importance
robust
policies,
awareness,
education.
identifies
research
gaps
innovative
approaches,
recommending
advancements
detection
methods,
preventive
policy
improvements
better
manage
foodborne
metabolites.
Gut,
Journal Year:
2024,
Volume and Issue:
73(11), P. 1909 - 1920
Published: July 13, 2024
The
gut
microbiome
has
been
recognised
as
a
key
component
in
the
pathogenesis
of
inflammatory
bowel
diseases
(IBD),
and
wide
range
metabolites
produced
by
bacteria
are
an
important
mechanism
which
human
interacts
with
host
immunity
or
metabolism.
High-throughput
metabolomic
profiling
novel
computational
approaches
now
allow
for
comprehensive
assessment
thousands
diverse
biomaterials,
including
faecal
samples.
Several
groups
metabolites,
short-chain
fatty
acids,
tryptophan
bile
have
associated
IBD.
In
this
Metabolites,
Journal Year:
2025,
Volume and Issue:
15(1), P. 10 - 10
Published: Jan. 2, 2025
Huntington's
disease
(HD)
is
a
multifaceted
neurological
disorder
characterized
by
the
progressive
deterioration
of
motor,
cognitive,
and
psychiatric
functions.
Despite
limited
understanding
its
pathogenesis,
research
has
implicated
abnormal
trinucleotide
cytosine-adenine-guanine
CAG
repeat
expansion
in
huntingtin
gene
(HTT)
as
critical
factor.
The
development
innovative
strategies
imperative
for
early
detection
predictive
biomarkers,
enabling
timely
intervention
mitigating
irreversible
cellular
damage.
Lipidomics,
comprehensive
analytical
approach,
emerged
an
indispensable
tool
systematically
characterizing
lipid
profiles
elucidating
their
role
pathology.
A
MedLine
search
was
performed
to
identify
studies
that
use
lipidomics
characterization
HD.
Search
terms
included
"Huntington
disease";
"lipidomics";
"biomarker
discovery";
"NMR";
"Mass
spectrometry".
This
review
highlights
significance
HD
diagnosis
treatment,
exploring
changes
brain
lipids
Recent
breakthroughs
techniques,
particularly
mass
spectrometry
NMR
spectroscopy,
have
revolutionized
research,
researchers
gain
deeper
insights
into
complex
lipidome
brain.
broad
spectrum
alterations
vital
precise
diagnostic
evaluation
effective
management.
integration
with
artificial
intelligence
interdisciplinary
collaboration
holds
promise
addressing
clinical
variability
Biomedicines,
Journal Year:
2023,
Volume and Issue:
11(5), P. 1254 - 1254
Published: April 23, 2023
Spinal
muscular
atrophy
(SMA)
is
a
neuromuscular
disease
resulting
from
mutations
or
deletions
in
SMN1
that
lead
to
progressive
death
of
alpha
motor
neurons,
ultimately
leading
severe
muscle
weakness
and
atrophy,
as
well
premature
the
absence
treatment.
Recent
approval
SMN-increasing
medications
SMA
therapy
has
altered
natural
course
disease.
Thus,
accurate
biomarkers
are
needed
predict
severity,
prognosis,
drug
response,
overall
treatment
efficacy.
This
article
reviews
novel
non-targeted
omics
strategies
could
become
useful
clinical
tools
for
patients
with
SMA.
Proteomics
metabolomics
can
provide
insights
into
molecular
events
underlying
progression
response.
High-throughput
data
have
shown
untreated
different
profiles
than
controls.
In
addition,
who
clinically
improved
after
profile
those
did
not.
These
results
glimpse
on
potential
markers
assist
identifying
responders,
tracing
disease,
predicting
its
outcome.
studies
been
restricted
by
limited
number
patients,
but
approaches
feasible
unravel
severity-specific
neuro-proteomic
metabolic
signatures.
Frontiers in Natural Products,
Journal Year:
2024,
Volume and Issue:
3
Published: July 30, 2024
Metabolomics
is
one
of
the
“omics”
sciences
that
can
reveal
metabolic
phenotype
organisms.
This
capability
makes
it
a
valuable
tool
for
plant
investigation,
as
plants
present
vast
chemical
diversity.
From
analytical
point
view,
two
main
techniques
are
frequently
used
in
metabolomics
and
often
complementary:
Mass
spectrometry
(MS)
Nuclear
Magnetic
Resonance
(NMR)
spectroscopy.
Here,
we
describe
NMR
its
applications
metabolomics.
We
start
by
contextualizing
research
field
to
then
explore
study
design,
sample
collection,
preparation,
data
acquisition,
analysis,
showing
key
features
achieving
quality
relevant
results.
Within
these
topics,
most
common
databases
metabolites
identification
assignments
listed,
help
shorten
laborious
task
investigation
natural
products.
Concerning
parameters,
discuss
pulse
sequences,
recommend
acquisition
examine
each
sequence
provide.
Similarly,
delve
into
highlighting
commonly
chemometric
methods
how
achieve
high-quality
Therefore,
this
review
aims
provide
comprehensive
guide
NMR-based
analysis
plants.
Physiologia Plantarum,
Journal Year:
2024,
Volume and Issue:
176(1)
Published: Jan. 1, 2024
Abstract
A
plant's
root
system
is
essential
to
its
survival
as
it
supports
anchorage
and
absorbs
water
minerals
from
the
ground.
Several
microorganisms
interact
with
roots
in
rhizosphere,
they
can
be
neutral,
positive,
or
negative.
Identifying
beneficial
pathogenic
limiting
promoting
their
colonization
for
survive.
Signaling
molecules
metabolites
play
an
important
regulatory
role
determining
root‐microbe
associations.
Phytohormones
modulate
plant‐microbe
interactions
by
metabolic
reprogramming
transmitting
long‐range
signals,
resulting
local
systemic
resistance.
Mass
spectrometry‐based
metabolomics
provides
a
powerful
means
study
interactions.
It
qualitative
quantitative
approach
mechanisms
of
also
helps
understand
pathogen‐induced
reprogramming.
By
using
metabolomics,
one
identify
biomarker
that
indicate
disease
resistance
sensitivity
roots.
Compared
other
omics
methods,
still
underutilized
root‐pathogen
interaction
studies.
is,
therefore,
vital
popularized
gain
better
understanding
susceptibility.
Through
untargeted
we
insight
into
plant‐microbial
across
variety
tissues,
which
us
develop
more
effective
crop
plant
protection
measures.
In
this
review,
describe
current
status
progress
applications
studying
emphasis
on
root‐derived
phytohormones
specialized
metabolites.
addition,
proposed
use
novel
biomarkers
during
interactions,
distinguish
resistant
genotypes
susceptible
ones,
predict
nondestructively
early
progression.
Frontiers in Bioengineering and Biotechnology,
Journal Year:
2024,
Volume and Issue:
12
Published: March 27, 2024
Background:
Investigating
the
metabolic
behaviour
of
different
cellular
phenotypes,
i.e.,
good/bad
grower
and/or
producer,
in
production
culture
is
important
to
identify
key
metabolite(s)/pathway(s)
that
regulate
cell
growth
recombinant
protein
improve
overall
yield.
Currently,
LC-MS,
GC-MS
and
NMR
are
most
used
advanced
technologies
for
investigating
metabolome.
Although
contributed
significantly
domain,
each
technique
has
its
own
biasness
towards
specific
metabolites
or
class
due
various
reasons
including
variability
concept
working,
sample
preparation,
metabolite-extraction
methods,
metabolite
identification
tools,
databases.
As
a
result,
application
appropriate
analytical
technique(s)
very
critical.
Purpose
scope:
This
review
provides
state-of-the-art
technological
insights
overview
mechanisms
involved
regulation
improving
yield
from
CHO
cultures.
Summary
conclusion:
In
this
review,
advancements
metabolomics
over
last
10
years
traced
based
on
bibliometric
analysis
previous
publications
discussed.
With
technical
advancement
domain
NMR,
glycolytic
nucleotide
biosynthesis
pathway
(glucose,
fructose,
pyruvate
phenylalanine,
threonine,
tryptophan,
arginine,
valine,
asparagine,
serine,
etc.)
were
observed
be
upregulated
exponential-phase
thereby
potentially
associated
with
regulation,
whereas
metabolites/intermediates
TCA,
oxidative
phosphorylation
(aspartate,
glutamate,
succinate,
malate,
fumarate
citrate),
intracellular
NAD+/NADH
ratio,
glutathione
pathways
stationary-phase
hence
increased
cell-specific
productivity
bioprocess.
Moreover,
bias
identification,
indicating
their
complementarity,
along
number
critical
gaps
pipeline
first
time
discussed
here
potential
remedies.
knowledge
may
help
future
study
designs
metabolomic
coverage
facilitating
metabolites/pathways
which
might
get
missed
otherwise
explore
full
bioprocess
performances.
PROTEOMICS,
Journal Year:
2024,
Volume and Issue:
24(12-13)
Published: April 29, 2024
Abstract
Recent
advancements
in
omics
techniques
have
revolutionised
the
study
of
biological
systems,
enabling
generation
high‐throughput
biomolecular
data.
These
innovations
found
diverse
applications,
ranging
from
personalised
medicine
to
forensic
sciences.
While
investigation
multiple
aspects
cells,
tissues
or
entire
organisms
through
integration
various
approaches
(such
as
genomics,
epigenomics,
metagenomics,
transcriptomics,
proteomics
and
metabolomics)
has
already
been
established
fields
like
biomedicine
cancer
biology,
its
full
potential
sciences
remains
only
partially
explored.
In
this
review,
we
presented
a
comprehensive
overview
state‐of‐the‐art
analytical
platforms
employed
research,
with
specific
emphasis
on
their
application
field
for
identification
cadaver
cause
death.
Moreover,
conducted
critical
analysis
computational
approaches,
highlighted
latest
employing
multi‐omics
investigations.