Cynthichlorine Extracted from Ascidian Cynthia savignyi from Djibouti: Optimization of Extraction, In Vitro Anticancer Profiling, and In Silico Approach
Marine Drugs,
Год журнала:
2025,
Номер
23(4), С. 172 - 172
Опубликована: Апрель 16, 2025
This
work
focuses
on
the
extraction
of
cynthichlorine
from
ascidian
Cynthia
savignyi,
a
molecule
that
has
potential
promise
as
an
anticancer
agent.
The
main
objective
was
to
optimize
conditions
and
evaluate
cytotoxic
activity
in
tumor
cell
lines.
Two
methods,
maceration
Soxhlet
extraction,
were
compared,
with
showing
significantly
higher
yield
(2.2
±
0.2%)
compared
(1.0
0.2%).
An
optimization
factors
influencing
performed
using
Box–Behnken
method,
temperature
time
have
negative
impact
yield,
optimal
being
below
25
°C
those
12
h.
Cytotoxic
assessment
revealed
marked
inhibition
growth
all
tested
lines
(U87-MG,
U2OS,
NCI-N87,
HCT116,
A2780),
IC50
values
ranging
0.162
µg/mL
U87-MG
0.576
NCI-N87.
Finally,
computational
analysis
showed
exhibits
high
electronic
stability
notable
affinity
for
some
biological
targets,
including
NM23-H2,
suggesting
its
targeted
therapy
cancer
treatment.
These
results
pave
way
future
studies
therapeutic
use
cynthichlorine.
Язык: Английский
Unlocking the power of antimicrobial peptides: advances in production, optimization, and therapeutics
Mohd Sadeeq,
Yu Li,
Chaozhi Wang
и другие.
Frontiers in Cellular and Infection Microbiology,
Год журнала:
2025,
Номер
15
Опубликована: Апрель 28, 2025
Antimicrobial
peptides
(AMPs)
are
critical
effectors
of
innate
immunity,
presenting
a
compelling
alternative
to
conventional
antibiotics
amidst
escalating
antimicrobial
resistance.
Their
broad-spectrum
efficacy
and
inherent
low
resistance
development
countered
by
production
challenges,
including
limited
yields
proteolytic
degradation,
which
restrict
their
clinical
translation.
While
chemical
synthesis
offers
precise
structural
control,
it
is
often
prohibitively
expensive
complex
for
large-scale
production.
Heterologous
expression
systems
provide
scalable,
cost-effective
platform,
but
necessitate
optimization.
This
review
comprehensively
examines
established
emerging
AMP
strategies,
encompassing
fusion
protein
technologies,
molecular
engineering
approaches,
rational
peptide
design,
post-translational
modifications,
with
an
emphasis
on
maximizing
yield,
bioactivity,
stability,
safety.
Furthermore,
we
underscore
the
transformative
role
artificial
intelligence,
particularly
machine
learning
algorithms,
in
accelerating
discovery
optimization,
thereby
propelling
expanded
therapeutic
application
contributing
global
fight
against
drug-resistant
infections.
Язык: Английский