Obesity,
Journal Year:
2024,
Volume and Issue:
32(5), P. 857 - 870
Published: March 1, 2024
Big
Data
are
increasingly
used
in
obesity
and
nutrition
research
to
gain
new
insights
derive
personalized
guidance;
however,
this
data
raw
form
often
not
usable.
Substantial
preprocessing,
which
requires
machine
learning
(ML),
human
judgment,
specialized
software,
is
required
transform
into
artificial
intelligence
(AI)-
ML-ready
data.
These
preprocessing
steps
the
most
complex
part
of
entire
modeling
pipeline.
Understanding
complexity
these
by
end
user
critical
for
reducing
misunderstanding,
faulty
interpretation,
erroneous
downstream
conclusions.
Gut Microbes,
Journal Year:
2024,
Volume and Issue:
16(1)
Published: May 9, 2024
Interactions
between
diet
and
gastrointestinal
microbiota
influence
health
status
outcomes.
Evaluating
these
relationships
requires
accurate
quantification
of
dietary
variables
relevant
to
microbial
metabolism,
however
current
assessment
methods
focus
on
components
human
digestion
only.
The
aim
this
study
was
synthesize
research
foods
nutrients
that
gut
thereby
identify
knowledge
gaps
inform
advancements
toward
better
understanding
diet-microbiota
interactions.
Thirty-eight
systematic
reviews
106
primary
studies
reported
associations.
Dietary
factors
altering
colonic
included
patterns,
macronutrients,
micronutrients,
bioactive
compounds,
food
additives.
Reported
associations
were
dominated
by
routinely
analyzed
nutrients,
which
are
absorbed
from
the
small
intestine
but
for
correlation
stool
microbiota.
derived
microbiota-relevant
more
challenging
quantify
underrepresented
in
studies.
This
evidence
synthesis
highlights
needed,
including
opportunities
expansion
composition
databases
include
data,
particularly
intervention
These
advances
methodology
will
facilitate
translation
microbiota-specific
nutrition
therapy
practice.
Advances in Nutrition,
Journal Year:
2024,
Volume and Issue:
15(3), P. 100186 - 100186
Published: Feb. 3, 2024
Precision
nutrition
(PN)
considers
multiple
individual-level
and
environmental
characteristics
or
variables,
in
order
to
better
inform
dietary
strategies
interventions
for
optimizing
health,
including
managing
obesity
metabolic
disorders.
Here,
we
review
the
evidence
on
potential
mechanisms
–
ones
identify
those
most
likely
respond
that
can
be
leveraged
development
of
PN
addressing
obesity.
We
conducted
a
literature
included
laboratory,
animal,
human
studies
evaluating
biochemical
genetic
data,
completed
ongoing
clinical
trials,
public
programs
this
review.
Our
analysis
describes
related
six
domains
predisposition;
circadian
rhythms;
physical
activity
sedentary
behavior;
metabolomics;
gut
microbiome,
behavioral
socioeconomic
characteristics;
i.e.
factors
design
PN-based
prevent
treat
obesity-related
outcomes
such
as
weight
loss
health
laid
out
by
NIH
2030
Strategic
Plan
Nutrition
Research.
For
example,
single
nucleotide
polymorphisms
(SNPs)
modify
responses
certain
interventions,
epigenetic
modulation
risk
via
patterns
macronutrient
intake
have
also
been
demonstrated.
Additionally,
identified
limitations
questions
equitable
implementation
across
limited
number
trials.
These
include
ability
current
address
systemic
influences
supply
chains
food
distribution,
healthcare
systems,
racial
cultural
inequities,
economic
disparities
particularly
when
designing
implementing
low-
middle-income
communities.
has
inter-individual
variation,
opposed
"one-size
fits
all"
standardized
intervention,
though
there
is
trial
date.
Optimizing
at
individual
level
through
microbiome
assessment,
lifestyle
pattern
analysis,
phenotyping
may
help
advance
our
modulate
and/or
manage
individualized
physiological
involved
Redox Biology,
Journal Year:
2023,
Volume and Issue:
65, P. 102808 - 102808
Published: July 5, 2023
Precision
nutrition
aims
to
deliver
personalised
dietary
advice
individuals
based
on
their
personal
genetics,
metabolism
and
dietary/environmental
exposures.
Recent
advances
have
demonstrated
promise
for
the
use
of
omic
technologies
furthering
field
precision
nutrition.
Metabolomics
in
particular
is
highly
attractive
as
measurement
metabolites
can
capture
information
food
intake,
levels
bioactive
compounds
impact
diets
endogenous
metabolism.
These
aspects
contain
useful
Furthermore
using
metabolomic
profiles
identify
subgroups
or
metabotypes
delivery
advice.
Combining
derived
with
other
parameters
prediction
models
also
an
exciting
avenue
understanding
predicting
response
interventions.
Examples
include
but
not
limited
role
one
carbon
associated
co-factors
blood
pressure
response.
Overall,
while
evidence
exists
potential
this
there
are
many
unanswered
questions.
Addressing
these
clearly
demonstrating
that
approaches
enable
adherence
healthier
improvements
health
will
be
key
near
future.
American Journal of Clinical Nutrition,
Journal Year:
2023,
Volume and Issue:
118(1), P. 183 - 193
Published: April 29, 2023
Although
substantial
evidence
reveals
that
healthy
lifestyle
behaviors
are
associated
with
a
lower
risk
of
rheumatoid
arthritis
(RA),
the
underlying
metabolic
mechanisms
remain
unclear.
This
study
aimed
to
identify
signature
reflecting
and
investigate
its
observational
genetic
linkage
RA
risk.
included
87,258
UK
Biobank
participants
(557
cases
incident
RA)
aged
37–73
y
complete
lifestyle,
genotyping,
nuclear
magnetic
resonance
(NMR)
metabolomics
data.
A
was
assessed
based
on
5
factors:
diet,
regular
exercise,
not
smoking,
moderate
alcohol
consumption,
normal
body
mass
index.
The
developed
by
summing
selected
metabolites'
concentrations
weighted
coefficients
using
elastic
net
regression.
We
used
multivariate
Cox
model
assess
associations
between
signatures
risk,
examined
mediating
role
in
impact
RA.
performed
genome-wide
association
analysis
(GWAS)
obtain
variants
then
conducted
Mendelian
randomization
(MR)
analyses
detect
causality.
comprised
81
metabolites,
robustly
correlated
(r
=
0.45,
P
4.2
×
10−15).
inversely
(HR
per
standard
deviation
(SD)
increment:
0.76;
95%
CI:
0.70–0.83),
largely
explained
protective
effects
64%
(95%
50.4–83.3)
mediation
proportion.
1-
2-sample
MR
also
consistently
showed
genetically
inferred
SD
increment
reduction
(HR:
0.84;
0.75–0.94;
0.002
OR:
0.73–0.97;
0.02,
respectively).
Our
findings
implicate
is
potential
causal
mediator
development
RA,
highlighting
importance
early
intervention
status
tracking
for
precise
prevention
Current Nutrition Reports,
Journal Year:
2024,
Volume and Issue:
13(3), P. 455 - 477
Published: May 28, 2024
Abstract
Purpose
of
Review
The
prevalence
obesity
continues
to
rise
steadily.
While
management
typically
relies
on
dietary
and
lifestyle
modifications,
individual
responses
these
interventions
vary
widely.
Clinical
guidelines
for
overweight
stress
the
importance
personalized
approaches
care.
This
review
aims
underscore
role
precision
nutrition
in
delivering
tailored
management.
Recent
Findings
technological
strides
have
expanded
our
ability
detect
obesity-related
genetic
polymorphisms,
with
machine
learning
algorithms
proving
pivotal
analyzing
intricate
genomic
data.
Machine
can
also
predict
postprandial
glucose,
triglyceride,
insulin
levels,
facilitating
customized
ultimately
leading
successful
weight
loss.
Additionally,
given
that
adherence
recommendations
is
one
key
predictors
loss
success,
employing
more
objective
methods
assessment
monitoring
enhance
sustained
long-term
compliance.
Summary
Biomarkers
food
intake
hold
promise
a
assessment.
Acknowledging
multifaceted
nature
obesity,
stands
poised
transform
by
tailoring
individuals'
backgrounds,
gut
microbiota,
metabolic
profiles,
behavioral
patterns.
However,
there
insufficient
evidence
demonstrating
superiority
over
traditional
recommendations.
integration
into
routine
clinical
practice
requires
further
validation
through
randomized
controlled
trials
accumulation
larger
body
strengthen
its
foundation.
Current Opinion in Chemical Biology,
Journal Year:
2023,
Volume and Issue:
77, P. 102400 - 102400
Published: Oct. 5, 2023
Metabolomics
has
rapidly
been
adopted
as
one
of
the
key
methods
in
nutrition
research.
This
review
focuses
on
recent
developments
and
updates
field,
including
analytical
methodologies
that
encompass
improved
instrument
sensitivity,
sampling
techniques
data
integration
(multiomics).
advanced
discovery
validation
dietary
biomarkers
their
implementation
health
come
to
play
an
important
role
understanding
small
molecules
resulting
from
diet-microbiota
interactions
when
gut
microbiota
research
shifted
towards
improving
activity
functionality
rather
than
composition
alone.
Currently,
metabolomics
plays
emerging
precision
therein
are
discussed.
BMC Plant Biology,
Journal Year:
2023,
Volume and Issue:
23(1)
Published: Oct. 13, 2023
Hemerocallis
citrina
Baroni
is
a
traditional
medical
and
edible
plant.
It
rich
in
flavonoid
compounds,
which
are
kind
of
important
bioactive
components
with
various
health
benefits
pharmaceutical
value.
However,
the
metabolomics
profile
comparison
compounds
from
different
parts
H.
scarce.In
this
study,
metabolites
were
investigated
roots,
stems,
leaves
flowers
citrina.
A
total
364
identified
by
UPLC-MS/MS
based
widely
targeted
metabolomics,
four
plant
showed
huge
differences
at
metabolic
level.
Compared
to
185,
234,
119
accounted
for
upregulated
differential
(DFMs)
leaves,
flowers,
respectively.
168
29
DFMs
only
flowers.
number
35
common
observed
among
six
groups,
each
group
had
its
unique
metabolites.
The
most
abundant
flavonols
flavones,
followed
flavanones,
chalcones,
flavanols,
flavanonols,
anthocyanidins,
tannin,
proanthocyanidins.
6,7,8-Tetrahydroxy-5-methoxyflavone,
7,8,3',4'-tetrahydroxyflavone,
1-Hydroxy-2,3,8-trimethoxyxanthone,
Farrerol-7-O-glucoside,
3',7-dihydroxy-4'-methoxyflavone,
3,3'-O-Dimethylellagic
Acid,
5-Hydroxy-6,7-dimethoxyflavone,
Nepetin
(5,7,3',4'-Tetrahydroxy-6-methoxyflavone),
(2s)-4,8,10-trihydroxy-2-methoxy-1
h,2
h-furo[3,2-a]xanthen-11-one
dominant
roots.
Isorhamnetin-3-O-(6''-malonyl)glucoside-7-O-rhamnoside,
7-Benzyloxy-5-hydroxy-3',4'-methylenedioxyflavonoid,
3-Hydroxyphloretin-4'-O-glucoside
stems.
Chrysoeriol-7-O-glucoside,
Epicatechin
glucoside,
Kaempferol-3-O-rhamnoside
(Afzelin)(Kaempferin)*,
Azaleatin
(5-O-Methylquercetin),
Chrysoeriol-5-O-glucoside,
Nepetin-7-O-glucoside(Nepitrin),
3,5,7,2'-Tetrahydroxyflavone;
Datiscetin,
Procyanidin
B2*,
B3*,
B1,
Isorhamnetin-3-O-(6''-acetylglucoside)
leaves.
kaempferol-3-p-coumaroyldiglucoside,
Delphinidin-3-O-sophoroside-5-O-glucoside,
Limocitrin-3-O-sophoroside,
Kaempferol-3-O-rutinoside(Nicotiflorin),
Luteolin-7-O-(6''-malonyl)glucoside-5-O-rhamnoside
flowers.There
was
significant
difference
Leaves
relative
higher
contents
than
other
parts.
This
study
provided
biological
chemical
evidence
uses
citrina,
these
informations
theoretical
basis
food
industry,
treatment.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: June 13, 2024
Abstract
This
cross-sectional
study
investigated
differences
in
the
plasma
metabolome
two
groups
of
adults
that
were
similar
age
but
varied
markedly
body
composition
and
dietary
physical
activity
patterns.
Study
participants
included
52
lifestyle
group
(LIFE)
(28
males,
24
females)
control
(CON)
(27
25
females).
The
results
using
an
extensive
untargeted
ultra
high-performance
liquid
chromatography-high
resolution
mass
spectrometry
(UHPLC-HRMS)
metabolomics
analysis
with
10,535
metabolite
peaks
identified
486
important
metabolites
(variable
influence
on
projections
scores
VIP
≥
1)
16
significantly
enriched
metabolic
pathways
differentiated
LIFE
CON
groups.
A
novel
signature
positive
habits
emerged
from
this
highlighted
by
lower
levels
numerous
bile
acids,
amino
acid
profile
characterized
higher
histidine
glutamic
acid,
glutamine,
β-alanine,
phenylalanine,
tyrosine,
proline,
elevated
vitamin
D
status,
beneficial
fatty
acids
gut
microbiome
catabolism
plant
substrates,
reduced
N-glycan
degradation
environmental
contaminants.
established
is
strongly
associated
habits.
robust
consistent
improved
life
expectancy
a
risk
for
chronic
disease.