Berberine’s Impact on Apoptosis, Proliferation, Uptake Efficiency, and Nanoparticle-Based Therapy in DBTRG Cells
ACS Nanoscience Au,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 18, 2025
Язык: Английский
In Silico Analysis Highlights Potential Predictive Indicators Associated with Secondary Progressive Multiple Sclerosis
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(6), С. 3374 - 3374
Опубликована: Март 16, 2024
Multiple
sclerosis
(MS)
is
a
complex
inflammatory
disease
affecting
the
central
nervous
system.
Most
commonly,
it
begins
with
recurrent
symptoms
followed
by
partial
or
complete
recovery,
known
as
relapsing–remitting
MS
(RRMS).
Over
time,
many
RRMS
patients
progress
to
secondary
progressive
(SPMS),
marked
gradual
symptom
deterioration.
The
factors
triggering
this
transition
remain
unknown,
lacking
predictive
biomarkers.
This
study
aims
identify
blood
biomarkers
specific
SPMS.
We
analyzed
six
datasets
of
SPMS
and
patients’
brain
tissues,
compared
differential
expressed
genes
(DEGs)
obtained
highlight
DEGs
reflecting
alterations
occurring
in
both
tissues
potential
biological
processes
involved.
observed
total
38
up-regulated
their
interaction
network
was
evaluated
through
analysis.
Among
aforementioned
DEGs,
21
may
be
directly
involved
transition.
Further,
we
highlighted
three
processes,
including
calcineurin–NFAT
pathway,
related
investigated
serve
promising
means
monitor
from
SPMS,
which
still
elusive.
Given
that
they
can
also
sourced
samples,
approach
could
offer
relatively
rapid
convenient
method
for
monitoring
facilitating
expedited
assessments.
Язык: Английский
Genomics-based tools for drug discovery and development: From network maps to efficacy prediction
Journal of Holistic Integrative Pharmacy,
Год журнала:
2023,
Номер
4(3), С. 199 - 209
Опубликована: Ноя. 1, 2023
Computing
technology
plays
a
crucial
role
in
the
field
of
drug
discovery
and
development.
With
rapid
development
genomics
improvement
databases,
application
genomics-based
tools
is
important
These
can
deeply
explore
information
gene
expression
profile
revealing
connections
interactions
between
drugs,
diseases
genes,
providing
strong
support
for
This
paper
introduces
various
significant
development,
discusses
advantages
deep
learning
artificial
intelligence
utilizing
large-scale
genomic
data,
reveals
trends
future
prospects
tools.
The
continuous
progress
these
will
provide
more
accurate
efficient
Язык: Английский