Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Дек. 4, 2023
Abstract
Background:
Heat
shock
protein
70
(HSP70)
overexpression
has
been
reported
in
a
variety
of
cancers.
HSP70
is
transported
to
the
cell
surface
and
released
into
environment,
where
it
taken
up
by
antigen-presenting
cells
presented
lymphocytes
for
an
immunological
response.
In
previous
investigations,
we
extensively
studied
HSP70's
immunotherapeutic
potential
against
cancer.
Cancer
fatal
disease,
chemotherapy
drugs
have
shown
be
effective
several
types
Several
attempts
made
improve
chemotherapeutic
target
delivery
while
limiting
adverse
effects.
With
aim
minimizing
off-site
cytotoxicity
without
impairing
docetaxel
function
cancer
cells,
established
PrDC
isolated
from
with
drug
docetaxel,
tumor
heterogeneity
and,
enhance
Methodology:
was
purified
using
size
exclusion
chromatography
immunoprecipitation.
To
conjugate
primary
amine
groups
on
HSP70,
cleavable
ester
bond
carboxyl
group
preserving
structural
integrity
docetaxel.
The
purity
evaluate
western
blotting
(WB),
NMR,
FTIR,
WB
were
used
identify
final
conjugate.
Docetaxel
release
investigated
in-vitro
four
distinct
buffers
that
replicated
human
philological
conditions.
anticancer
efficacy
both
combination
alone,
assessed
squamous
carcinoma
MTT,
ICC,
cycle,
apoptosis,
multi-drug
resistance,
mitochondrial
mass
assay.
Results:
findings
show
stoichiometric
ratio
30:1.
SCC
docetaxel's
extended
(120
hours)
correlated
13±2-fold
rise
efficacy.
Additionally,
results
showed
DHSP
decreases
resistance
halting
G2
phase
cycle
period
time
(72
hours),
which
followed
apoptosis.
Conclusions:
docetaxel-HSP70
conjunction
retention
lowering
cytotoxicity.
It
additionally
improves
effectiveness
longer
periods
at
13–15
times
lower
dosages.
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(14), С. 7603 - 7603
Опубликована: Июль 11, 2024
This
article
presents
a
groundbreaking
perspective
on
carotenoids,
focusing
their
innovative
applications
and
transformative
potential
in
human
health
medicine.
Research
jointly
delves
deeper
into
the
bioactivity
bioavailability
of
revealing
therapeutic
uses
technological
advances
that
have
to
revolutionize
medical
treatments.
We
explore
pioneering
which
carotenoids
are
used
treat
chronic
diseases
such
as
cancer,
cardiovascular
disease,
age-related
macular
degeneration,
offering
novel
protective
mechanisms
benefits.
Our
study
also
shows
cutting-edge
innovations
carotenoid
extraction
bioavailability,
including
development
supramolecular
carriers
advanced
nanotechnology,
dramatically
improve
absorption
efficacy
these
compounds.
These
not
only
ensure
consistent
quality
but
tailor
therapies
each
patient's
needs,
paving
way
for
personalized
By
integrating
latest
scientific
discoveries
techniques,
this
research
provides
prospective
clinical
establishing
new
benchmark
future
studies
field.
findings
underscore
importance
optimizing
extraction,
administration,
bioactivity,
methods
develop
more
effective,
targeted,
treatments,
thus
visionary
insight
modern
practices.
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(16), С. 8792 - 8792
Опубликована: Авг. 13, 2024
Phytochemicals
have
a
long
and
successful
history
in
drug
discovery.
With
recent
advancements
analytical
techniques
methodologies,
discovering
bioactive
leads
from
natural
compounds
has
become
easier.
Computational
like
molecular
docking,
QSAR
modelling
machine
learning,
network
pharmacology
are
among
the
most
promising
new
tools
that
allow
researchers
to
make
predictions
concerning
products’
potential
targets,
thereby
guiding
experimental
validation
efforts.
Additionally,
approaches
LC-MS
or
LC-NMR
speed
up
compound
identification
by
streamlining
processes.
Integrating
structural
computational
biology
aids
lead
identification,
thus
providing
invaluable
information
understand
how
phytochemicals
interact
with
targets
body.
An
emerging
approach
is
learning
involving
deep
neural
networks
interrelate
phytochemical
properties
diverse
physiological
activities
such
as
antimicrobial
anticancer
effects.
Phytochemicals
have
a
long
and
successful
history
in
drug
discovery.
With
recent
advancements
analytical
techniques
methodologies,
discovering
bioactive
leads
from
natural
compounds
has
become
easier.
Computational
like
molecular
docking,
QSAR
modelling
machine
learning,
network
pharmacology
are
among
the
most
promising
new
tools
that
allow
researchers
to
make
predictions
concerning
products'
potential
targets,
thereby
guiding
experimental
validation
efforts.
Additionally,
approaches
LC-MS
or
LC-NMR
speed
up
compound
identification
by
streamlining
processes.
Integrating
structural
computational
biology
aids
lead
identification,
thus
providing
invaluable
information
understand
how
phytochemicals
interact
with
targets
body.
Emerging
approach
is
learning
involving
deep
neural
networks
interrelate
phytochemical
properties
diverse
physiological
activities
such
as
antimicrobial
anticancer
effects.
Biomolecules,
Год журнала:
2025,
Номер
15(3), С. 380 - 380
Опубликована: Март 5, 2025
Natural
plant
products
have
been
used
for
cancer
treatment
since
ancient
times
and
continue
to
play
a
vital
role
in
modern
anticancer
drug
development.
However,
only
small
fraction
of
identified
medicinal
plants
has
thoroughly
investigated,
particularly
their
effects
on
cellular
pathways
lung
colorectal
cancers,
two
under-researched
cancers
with
poor
prognostic
outcomes
(lung
cancers).
This
review
focuses
the
signaling
modulated
by
bioactive
compounds
from
eleven
traditional
plants:
Curcuma
longa,
Astragalus
membranaceus,
Glycyrrhiza
glabra,
Althaea
officinalis,
Echinacea
purpurea,
Sanguinaria
canadensis,
Codonopsis
pilosula,
Hydrastis
Lobelia
inflata,
Scutellaria
baicalensis,
Zingiber
officinale.
These
were
selected
based
documented
use
medicine
clinical
practice.
Selection
criteria
involved
cross-referencing
herbs
scoping
treatments
findings
an
international
survey
herbal
currently
management
our
research
group
availability
existing
literature
properties.
The
identifies
several
isolated
phytoconstituents
these
that
exhibit
properties
modulating
key
such
as
PI3K/Akt/mTOR,
RAS/RAF/MAPK,
Wnt/β-catenin,
TGF-β
vitro.
Notable
constituents
include
sanguinarine,
berberine,
hydrastine,
lobeline,
curcumin,
gingerol,
shogaol,
caffeic
acid,
echinacoside,
cichoric
glycyrrhizin,
18-β-glycyrrhetinic
astragaloside
IV,
lobetyolin,
licochalcone
A,
baicalein,
baicalin,
wogonin,
glycyrol.
Curcumin
baicalin
show
preclinical
effectiveness
but
face
bioavailability
challenges,
which
may
be
overcome
combining
them
piperine
or
using
oral
extracts
enhance
gut
microbiome
conversion,
integrating
knowledge
strategies
improved
outcomes.
Furthermore,
Echinacea,
Glycyrrhiza,
Codonopsis,
knowledge,
are
trials.
Notably,
curcumin
also
modulate
miRNA
pathways,
highlighting
promising
intersection
science
medicine.
Thus,
development
therapeutics
continues
benefit
synergy
scientific
innovation,
technological
advancements.
Plants,
Год журнала:
2024,
Номер
13(7), С. 976 - 976
Опубликована: Март 28, 2024
In
this
study,
flower
and
leaf
extracts
of
Colvillea
racemosa
were
considered
a
source
bioactive
compounds.
context,
the
objective
study
focused
on
investigating
anticancer
potential
as
well
phytochemical
composition
both
extracts.
The
analyzed
by
UPLC-ESI-QTOF-MS,
bioactivity
was
tested
using
in
vitro
antioxidant
assays
(FRAP,
DPPH,
ABTS)
addition
to
cytotoxic
non-small
cell
lung
cancer
line
(A549).
Our
results
clearly
indicated
potent
radical
scavenging
capacity
Importantly,
extract
exhibited
greater
than
extract.
terms
activity,
significantly
inhibited
viability
with
IC50
values
17.0
17.2
µg/mL,
respectively.
characterization
enabled
putative
annotation
42
metabolites,
such
saccharides,
phenolic
acids,
flavonoids,
amino
fatty
acids.
Among
them,
flavonoid
C-glycosides
stand
out
due
their
high
relative
abundance
previous
reports
bioactivity.
For
better
understanding
mechanisms,
four
flavonoids
(vitexin,
kaempferol-3-O-rutinoside,
luteolin,
isoorientin)
selected
for
molecular
docking
hallmark
protein
targets
represented
γ-PI3K,
EGFR,
CDK2
through
in-silico
studies.
these
models,
kaempferol-3-O-rutinoside
vitexin
had
highest
binding
scores
γ-PI3K
CDK2,
followed
isoorientin,
so
they
could
be
highly
responsible
properties
C.
