Exploring bacterial key genes and therapeutic agents for breast cancer among the Ghanaian female population: Insights from In Silico analyses
PLoS ONE,
Год журнала:
2024,
Номер
19(11), С. e0312493 - e0312493
Опубликована: Ноя. 25, 2024
Breast
cancer
(BC)
is
yet
a
significant
global
health
challenge
across
various
populations
including
Ghana,
though
several
studies
on
host-genome
associated
with
BC
have
been
investigated
molecular
mechanisms
of
development
and
progression,
candidate
therapeutic
agents.
However,
little
attention
has
given
microbial
genome
in
this
regard,
although
alterations
microbiota
epigenetic
modifications
are
recognized
as
substantial
risk
factors
for
BC.
This
study
focused
identifying
bacterial
key
genes
(bKGs)
infections
the
Ghanaian
population
exploring
potential
drug
molecules
by
targeting
these
bKGs
through
silico
analyses.
At
first,
16S
rRNA
sequence
data
were
downloaded
from
NCBI
database
comprising
520
samples
patients
442
healthy
controls.
Analysis
rRNA-Seq
showed
differences
abundance
between
groups
identified
26
differential
genera
threshold
values
at
|log2FC|>2.0
p-value≤0.05.
It
was
observed
that
two
Prevotella
Anaerovibria
significantly
upregulated
others
downregulated.
Functional
analysis
based
all
19
MetaCyc
signaling
pathways,
twelve
which
enriched
containing
165
Top-ranked
10
mdh,
pykF,
gapA,
zwf,
pgi,
tpiA,
pgk,
pfkA,
ppsA,
pykA
BC-causing
protein-protein
interaction
network
analysis.
Subsequently,
bKG-guided
top
ranked
Digitoxin,
Digoxin,
Ledipasvir,
Suramin,
Ergotamine,
Venetoclax,
Nilotinib,
Conivaptan,
Dihydroergotamine,
Elbasvir
using
docking
The
stability
top-ranked
three
drug-target
complexes
(Digitoxin-pykA,
Digoxin-mdh,
Ledipasvir-pgi)
confirmed
dynamics
simulation
studies.
Therefore,
findings
might
be
useful
resources
to
wet-lab
researchers
further
experimental
validation
therapies
against
Язык: Английский
Cardiovascular and nonalcoholic fatty liver disease: Sharing common ground through SIRT1 pathways
World Journal of Cardiology,
Год журнала:
2024,
Номер
16(11), С. 632 - 643
Опубликована: Окт. 30, 2024
As
a
non-communicable
disease,
cardiovascular
disorders
have
become
the
leading
cause
of
death
for
men
and
women.
Of
additional
concern
is
that
disease
linked
to
chronic
comorbidity
include
nonalcoholic
fatty
liver
(NAFLD).
NAFLD,
also
termed
metabolic-dysfunction-associated
steatotic
greatest
throughout
world,
increasing
in
prevalence
concurrently
with
diabetes
mellitus
(DM),
can
progress
steatohepatitis
leads
cirrhosis
fibrosis.
Individuals
metabolic
disorders,
such
as
DM,
are
more
than
two
times
likely
experience
cardiac
stroke,
includes
NAFLD
when
compared
individuals
without
disorders.
Interestingly,
share
common
underlying
cellular
mechanism
pathology,
namely
silent
mating
type
information
regulation
2
homolog
1
(SIRT1;
Язык: Английский
Changes in brain functional connectivity of patients with postoperative delirium
Perioperative Precision Medicine,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 27, 2024
Postoperative
delirium
(POD)
is
an
acute
cognitive
disorder
marked
by
attention
deficits,
fluctuating
symptoms,
and
significant
impairment.
These
features
are
closely
associated
with
adverse
outcomes,
including
increased
mortality,
prolonged
hospitalization,
long-term
elevated
healthcare
costs.
Brain
functional
connectivity
studies
focus
on
understanding
complex
neuronal
interactions
interregional
communication
within
the
brain.
This
article
explores
association
between
POD
brain
connectivity.
It
begins
summarizing
prominent
of
as
a
common
postoperative
complication
its
substantial
impact
patient
health,
highlighting
current
limitations
in
pathophysiological
mechanisms.
The
then
investigates
relationship
function,
emphasizing
role
advanced
monitoring
techniques,
Electroencephalography
Functional
Magnetic
Resonance
Imaging.
advantages
these
technologies
studying
discussed.
Additionally,
focuses
posterior
cingulate
cortex
Default
Mode
Network,
examining
their
roles
development
potential
connections
to
pathogenesis.
Finally,
application
graph
theory
analysis
introduced,
offering
new
insights
into
POD’s
Based
evidence,
provides
outlook
future
research
directions
challenges.
study
particularly
emphasizes
perioperative
factors,
such
anesthesia
inflammation,
changes
may
trigger
disrupting
Network
other
key
neural
networks.
By
investigating
patterns
patients
undergoing
different
types
surgeries,
this
further
reveals
contribution
factors
mechanisms
POD.
Язык: Английский