Natural
products
exhibit
interesting
structural
features
and
significant
biological
activities.
The
discovery
of
new
bioactive
molecules
is
a
complex
process
that
requires
high-quality
metabolite
profiling
data
to
properly
target
the
isolation
compounds
interest
enable
their
complete
characterization.
same
can
also
be
used
better
understand
chemotaxonomic
links
between
species.
This
Data
Descriptor
details
dataset
resulting
from
untargeted
liquid
chromatography-mass
spectrometry
76
natural
extracts
Celastraceae
family.
spectral
annotation
results
related
chemical
taxonomic
metadata
are
shared,
along
with
proposed
examples
reuse.
further
studied
by
researchers
exploring
diversity
products.
serve
as
reference
sample
set
for
deep
metabolome
investigation
this
chemically
rich
plant
Microbiology Spectrum,
Год журнала:
2024,
Номер
12(3)
Опубликована: Янв. 30, 2024
ABSTRACT
This
study
aims
to
analyze
the
antifungal
properties
of
quinalizarin,
a
plant-derived
compound
with
proven
anticancer
effects.
Quinalizarin
exhibited
activity
against
opportunistic
pathogenic
Candida
species
and
Geotrichum
capitatum
.
The
treatment
this
anthraquinone
reduced
hyphal
growth,
inhibited
biofilm
formation,
damaged
mature
albicans
biofilms.
Real-time
RT-PCR
revealed
that
quinalizarin
downregulated
expression
hyphae-related
biofilm-specific
genes.
flow
cytometry
method
used
in
showed
both
apoptosis
necrosis
were
physiological
mechanisms
quinalizarin-induced
C.
cell
death,
depending
on
dose
agent.
A
further
an
increase
levels
intracellular
reactive
oxygen
alterations
mitochondrial
membrane
potential
after
quinalizarin.
Finally,
was
found
have
low
toxicity
hemolytic
test
using
human
erythrocytes.
In
conclusion,
we
identified
as
compound.
IMPORTANCE
article
is
determine
(1,2,5,8-tetrahydroxyanthraquinone).
has
antitumor
effective
different
types
tumor
cells.
aim
present
prove
can
be
simultaneously
cancer
intercurrent
fungal
infections.
novel
toxicity.
These
results
may
contribute
development
new
drug
dual
cancer-associated
candidiasis.
Natural
products
exhibit
interesting
structural
features
and
significant
biological
activities.
The
discovery
of
new
bioactive
molecules
is
a
complex
process
that
requires
high-quality
metabolite
profiling
data
to
properly
target
the
isolation
compounds
interest
enable
their
complete
characterization.
same
can
also
be
used
better
understand
chemotaxonomic
links
between
species.
This
Data
Descriptor
details
dataset
resulting
from
untargeted
liquid
chromatography-mass
spectrometry
76
natural
extracts
Celastraceae
family.
spectral
annotation
results
related
chemical
taxonomic
metadata
are
shared,
along
with
proposed
examples
reuse.
further
studied
by
researchers
exploring
diversity
products.
serve
as
reference
sample
set
for
deep
metabolome
investigation
this
chemically
rich
plant
