Peptides Evaluated In Silico, In Vitro, and In Vivo as Therapeutic Tools for Obesity: A Systematic Review
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(17), С. 9646 - 9646
Опубликована: Сен. 6, 2024
Bioinformatics
has
emerged
as
a
valuable
tool
for
screening
drugs
and
understanding
their
effects.
This
systematic
review
aimed
to
evaluate
whether
in
silico
studies
using
anti-obesity
peptides
targeting
therapeutic
pathways
obesity,
when
subsequently
evaluated
vitro
vivo,
demonstrated
effects
consistent
with
those
predicted
the
computational
analysis.
The
was
framed
by
question:
“What
or
proteins
have
been
used
treat
obesity
studies?”
structured
according
acronym
PECo.
protocol
developed
registered
PROSPERO
(CRD42022355540)
accordance
PRISMA-P,
all
stages
of
adhered
these
guidelines.
Studies
were
sourced
from
following
databases:
PubMed,
ScienceDirect,
Scopus,
Web
Science,
Virtual
Heath
Library,
EMBASE.
search
strategies
resulted
1015
articles,
which,
based
on
exclusion
inclusion
criteria,
7
included
this
review.
identified
originated
various
sources
including
bovine
alpha-lactalbumin
cocoa
seed
(Theobroma
cacao
L.),
chia
(Salvia
hispanica
rice
bran
(Oryza
sativa),
sesame
(Sesamum
indicum
sea
buckthorn
flour
(Hippophae
rhamnoides),
adzuki
beans
(Vigna
angularis).
All
articles
underwent
vivo
reassessment
molecular
docking
methodology
studies.
Among
review,
46.15%
classified
having
an
“uncertain
risk
bias”
six
thirteen
criteria
evaluated.
primary
target
investigated
pancreatic
lipase
(n
=
5),
enzyme
demonstrating
inhibition,
finding
supported
both
vivo.
Additionally,
other
PPARγ
PPARα
agonists
2).
Notably,
exhibited
different
mechanisms
action
lipid
metabolism
adipogenesis.
findings
underscore
effectiveness
simulation
tool,
providing
crucial
insights
guiding
investigations
discovery
novel
peptides.
Язык: Английский
Identifying novel drug targets with computational precision
Advances in pharmacology,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Anti‐obesity peptides from food: Production, evaluation, sources, and commercialization
Comprehensive Reviews in Food Science and Food Safety,
Год журнала:
2025,
Номер
24(2)
Опубликована: Март 1, 2025
The
global
obesity
epidemic
has
heightened
interest
in
natural
solutions,
with
anti-obesity
peptides
emerging
as
promising
candidates.
Derived
from
food
sources
such
plants,
algae,
marine
organisms,
and
products
like
milk
eggs,
these
combat
through
various
mechanisms
but
face
challenges
production
scalability.
aim
of
this
review
is
to
explore
their
sources,
mechanisms,
measurement,
synthesis
methods,
including
innovative
approaches
de
novo
synthesis,
proteomics,
bioinformatics.
Its
unique
contribution
lies
critically
analyzing
the
current
state
research
while
highlighting
novel
techniques
practical
relevance
addressing
commercialization
challenges,
offering
valuable
insights
for
advancing
peptide
development.
Diverse
methods
assessing
properties
are
discussed,
encompassing
both
vitro
vivo
experimental
approaches,
well
alternatives.
also
explores
integration
cutting-edge
technologies
potential
revolutionize
scalability
cost-effectiveness.
Key
findings
assert
that
despite
great
fight
against
advances
identification
analysis,
scalability,
regulatory
hurdles,
bioavailability
issues,
high
costs,
consumer
appeal
persist.
Future
should
use
bioinformatics
tools
advanced
screening
identify
design
enhanced
efficacy
bioavailability,
efficient
cost-effective
extraction
purification
sustainable
practices
utilizing
byproducts
industry,
containing
isolated
versus
whole
materials
clinical
settings.
Язык: Английский
Evaluation of antiobesogenic properties of fermented foods: In silico insights
Journal of Food Science,
Год журнала:
2025,
Номер
90(3)
Опубликована: Март 1, 2025
Obesity
prevalence
has
steadily
increased
over
the
past
decades.
Standard
approaches,
such
as
energy
expenditure,
lifestyle
changes,
a
balanced
diet,
and
use
of
specific
drugs,
are
conventional
strategies
for
preventing
or
treating
disease
its
associated
complications.
Fermented
foods
their
subsequent
bioactive
constituents
now
believed
to
be
novel
strategy
that
can
complement
already
existing
approaches
managing
this
disease.
Recent
developments
in
systems
biology
bioinformatics
have
made
it
possible
model
simulate
compounds
interactions.
The
adoption
silico
models
contributed
discovery
fermented
product
targets
helped
testing
hypotheses
regarding
mechanistic
impact
underlying
functions
food
components.
From
studies
explored,
key
findings
suggest
affect
adipogenesis,
lipid
metabolism,
appetite
regulation,
gut
microbiota
composition,
insulin
resistance,
inflammation
related
obesity,
which
could
lead
new
ways
treat
these
conditions.
These
outcomes
were
linked
probiotics,
prebiotics,
metabolites,
complex
substances
produced
during
fermentation.
Overall,
show
promise
innovative
tools
obesity
management
by
influencing
metabolic
pathways
overall
health.
Язык: Английский
Artificial intelligence in anti-obesity drug discovery: unlocking next-generation therapeutics
Drug Discovery Today,
Год журнала:
2025,
Номер
unknown, С. 104333 - 104333
Опубликована: Март 1, 2025
Obesity,
a
multifactorial
disease
linked
to
severe
health
risks,
requires
innovative
treatments
beyond
lifestyle
changes
and
current
medications.
Existing
anti-obesity
drugs
face
limitations
regarding
efficacy,
side
effects,
weight
regain
high
costs.
Artificial
intelligence
(AI)
is
emerging
as
pivotal
tool
in
drug
discovery,
expediting
the
identification
of
novel
candidates
optimizing
treatment
strategies.
This
review
examines
AI's
potential
developing
next-generation
therapeutics,
with
focus
on
glucagon-like
peptide-1
receptor
agonists
(GLP-1
RAs)
their
role
discovering
peptides.
Additionally,
it
explores
integration
challenges
offers
future
perspectives
leveraging
AI
reshape
landscape
discovery.
Язык: Английский
Proteins and Peptides Studied In Silico and In Vivo for the Treatment of Diabetes Mellitus: A Systematic Review
Nutrients,
Год журнала:
2024,
Номер
16(15), С. 2395 - 2395
Опубликована: Июль 24, 2024
Bioinformatics
has
expedited
the
screening
of
new
efficient
therapeutic
agents
for
diseases
such
as
diabetes
mellitus
(DM).
The
objective
this
systematic
review
(SR)
was
to
understand
naturally
occurring
proteins
and
peptides
studied
in
silico
subsequently
reevaluated
vivo
treating
DM,
guided
by
question:
which
or
have
been
treatment
mellitus?
RS
protocol
registered
International
Prospective
Register
Systematic
Reviews
database.
Articles
meeting
eligibility
criteria
were
selected
from
PubMed,
ScienceDirect,
Scopus,
Web
Science,
Virtual
Health
Library
(VHL),
EMBASE
databases.
Five
studies
that
investigated
analyzed
selected.
Risk
bias
assessment
conducted
using
adapted
Strengthening
Reporting
Empirical
Simulation
Studies
(STRESS)
tool.
A
diverse
range
assessed
and/or
had
a
natural
origin
corresponding
reevaluation
demonstrated
reductions
glycemia
insulin,
morphological
enhancements
pancreatic
β
cells,
alterations
gene
expression
markers
associated
with
DM.
outlined
offer
crucial
insights
into
strategies
along
promising
leads
novel
future
trials.
Язык: Английский