Cuadernos de Educación y Desarrollo,
Год журнала:
2025,
Номер
17(1), С. e7268 - e7268
Опубликована: Янв. 16, 2025
This
study
set
out
to
evaluate
how
effective
the
unexplored
macrofungi
Langermannia
bicolor
is
in
providing
a
biomolecular
repertoire
capable
of
optimizing
action
antibacterials
available
on
market.
Extract
and
fractions
(obtained
by
fractionation
with
acetone)
L.
were
quantified
for
presence
proteases
hemagglutinin,
composition
carbohydrates,
proteins,
phenolic
flavonoid
compounds;
then,
they
tested
against
multidrug-resistant
gram-positive
gram-negative
strains
combined
conventional
antibiotics
from
different
classes.
Fraction
2
(F2)
stood
its
high
proteolytic
hemagglutinating
capacities,
could
reduce
therapeutic
dosage
all
pathogens
tested.
The
samples
–
especially
showed
promising
results
antibiotics,
thus
potentially
mitigating
escalation
resistance
bacteria.
project
first
investigate
medicinal
properties
bicolor,
focusing
major
biomolecules,
potential
as
an
enhancer.
Abstract
The
emergence
of
drug‐resistant
bacteria
poses
a
significant
threat
to
people's
lives
and
health
as
bacterial
infections
continue
persist.
Currently,
antibiotic
therapy
remains
the
primary
approach
for
tackling
infections.
However,
escalating
rates
drug
resistance
coupled
with
lag
in
development
novel
drugs
have
led
diminishing
effectiveness
conventional
treatments.
Therefore,
nonantibiotic‐dependent
therapeutic
strategies
has
become
imperative
impede
rise
resistance.
chemodynamic
(CDT)
opened
up
new
possibility
due
CDT
can
convert
H
2
O
into
•OH
via
Fenton/Fenton‐like
reaction
treatment.
efficacy
is
limited
by
variety
practical
factors.
To
overcome
this
limitation,
sterilization
efficiency
be
enhanced
introducing
therapeutics
inherent
antimicrobial
capability.
In
addition,
researchers
explored
CDT‐based
combined
therapies
augment
its
effects
mitigate
potential
toxic
side
toward
normal
tissues.
This
review
examines
research
progress
field,
explores
various
enhance
presents
synergistic
combination
other
modalities.
And
last,
current
challenges
faced
future
directions
are
discussed.
Pharmacological Research,
Год журнала:
2023,
Номер
194, С. 106849 - 106849
Опубликована: Июль 8, 2023
Methyl
gallate
(MG)
is
a
polyphenolic
compound
widely
found
in
natural
plants.
MG
has
been
shown
to
have
variety
of
biological
functions,
including
anti-tumor,
anti-inflammatory,
anti-oxidant,
neuroprotective,
hepatoprotective
and
anti-microbial
activities,
broad
research
development
prospects.
A
total
88
articles
related
were
searched
using
the
PubMed,
Science
Direct,
Google
Scholar
databases,
systematically
investigating
pharmacological
activity
molecular
mechanisms
MG.
There
no
restrictions
on
publication
years,
last
search
was
conducted
June
5,
2023.
can
exert
effects
through
multiple
pathways
targets,
such
as
PI3K/Akt,
ERK1/2,
Caspase,
AMPK/NF-κB,
Wnt/β-catenin,
TLR4/NF-κB,
MAPK,
p53,
NLRP3,
ROS,
EMT.
According
literature,
potential
be
prospective
adjuvant
for
anticancer
therapy
deserves
further
study.
Polymeric
systems
that
provide
cationic
charges
or
biocide-release
therapeutics
are
used
to
treat
the
bacteria-infected
wound.
However,
most
antibacterial
polymers
based
on
topologies
with
restricted
molecular
dynamics
still
do
not
satisfy
clinical
requirements
due
their
limited
efficacy
at
safe
concentrations
in
vivo.
Here
a
NO-releasing
topological
supramolecular
nanocarrier
rotatable
and
slidable
entities
is
reported
conformational
freedom
promote
interactions
between
carrier
pathogenic
microbes,
hence
greatly
improving
performance.
With
improved
contacting-killing
efficient
delivery
of
NO
biocide
from
molecularly
dynamic
ligand
design,
NO-loaded
achieves
excellent
anti-biofilm
effects
via
destroying
bacterial
membrane
DNA.
MRSA-infected
rat
model
also
brought
out
demonstrate
its
wound-healing
effect
neglectable
toxicity
Introducing
flexible
motions
into
therapeutic
polymeric
general
design
enhance
healing
range
diseases.
Journal of Chemical Information and Modeling,
Год журнала:
2024,
Номер
64(10), С. 4310 - 4321
Опубликована: Май 13, 2024
Currently,
antimicrobial
resistance
constitutes
a
serious
threat
to
human
health.
Drugs
based
on
peptides
(AMPs)
constitute
one
of
the
alternatives
address
it.
Shallow
and
deep
learning
(DL)-based
models
have
mainly
been
built
from
amino
acid
sequences
predict
AMPs.
Recent
advances
in
tertiary
(3D)
structure
prediction
opened
new
opportunities
this
field.
In
sense,
graphs
derived
predicted
peptide
structures
recently
proposed.
However,
these
are
not
correspondence
with
state-of-the-art
approaches
codify
evolutionary
information,
and,
addition,
they
memory-
time-consuming
because
depend
multiple
sequence
alignment.
Herein,
we
presented
framework
create
alignment-free
graph
representations
generated
ESMFold-predicted
structures,
whose
nodes
characterized
acid-level
information
Evolutionary
Scale
Modeling
(ESM-2)
models.
A
attention
network
(GAT)
was
implemented
assess
usefulness
AMP
classification.
To
end,
set
comprised
67,058
used.
It
demonstrated
that
proposed
methodology
allowed
build
GAT
generalization
abilities
consistently
better
than
20
non-DL-based
DL-based
The
best
were
developed
using
36-
33-layer
ESM-2
Similarity
studies
showed
best-built
codified
different
chemical
spaces,
thus
fused
significantly
improve
general,
results
suggest
esm-AxP-GDL
is
promissory
tool
develop
good,
structure-dependent,
can
be
successfully
applied
screening
large
data
sets.
This
should
only
useful
classify
AMPs
but
also
for
modeling
other
protein
activities.
ACS Infectious Diseases,
Год журнала:
2024,
Номер
10(4), С. 1034 - 1055
Опубликована: Март 1, 2024
Pathogenic
bacteria
cause
the
deaths
of
millions
people
every
year.
With
development
antibiotics,
hundreds
and
thousands
people's
lives
have
been
saved.
Nevertheless,
can
develop
resistance
to
rendering
them
insensitive
antibiotics
over
time.
Peptides
containing
specific
amino
acids
be
used
as
antibacterial
agents;
however,
they
easily
degraded
by
proteases
in
vivo.
To
address
these
issues,
branched
peptide
dendrimers
are
now
being
considered
good
agents
due
their
high
efficacy,
protease
degradation,
low
cytotoxicity.
The
ease
with
which
synthesized
modified
makes
accessible
for
use
various
biological
nonbiological
fields.
That
is,
hold
a
promising
future
prolonged
efficacy
without
bacterial
development.
Their
vivo
stability
multivalence
allow
effectively
target
multi-drug-resistant
strains
prevent
biofilm
formation.
Thus,
it
is
interesting
an
overview
applications
research,
including
possibility
employing
machine
learning
approaches
design
AMPs
dendrimers.
This
review
summarizes
synthesis
agents.
challenges
perspectives
using
also
discussed.
Journal of Clinical Medicine,
Год журнала:
2024,
Номер
13(3), С. 919 - 919
Опубликована: Фев. 5, 2024
(1)
Background:
The
aim
was
to
evaluate
the
effectiveness
of
probiotic
containing
Saccharomyces
boulardii
in
treatment
small
intestinal
bacterial
overgrowth
(SIBO)
patients
with
decompensated
cirrhosis.
(2)
Methods:
This
a
blinded,
randomized,
placebo-controlled
study.
(3)
Results:
After
3
months
treatment,
SIBO
absent
80.0%
group
and
23.1%
placebo
(p
=
0.002).
eliminated
had
decreased
frequency
ascites
hepatic
encephalopathy,
increased
platelets
albumin
levels,
blood
levels
total
bilirubin,
biomarkers
translocation
(lipopolysaccharide
[LPS])
systemic
inflammation
(C-reactive
protein),
positive
changes
markers
hyperdynamic
circulation
compared
state
at
inclusion.
There
were
no
significant
claudin
level
(the
barrier
biomarker)
these
patients.
No
observed
persistent
SIBO.
serum
nitrate
(endothelial
dysfunction
lower
eradicated
than
One
(5.3%)
patient
six
(42.9%)
died
within
first
year
follow-up
0.007).
(4)
Conclusions:
eradication
an
independent
predictor
favorable
prognosis
during
follow-up.
Advanced Biology,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 6, 2025
Abstract
The
increasing
morbidity
and
mortality
caused
by
multidrug‐resistant
bacteria
alerts
human
beings
to
the
fact
that
conventional
antibiotics
are
no
longer
reliable
effective
alternatives
imperatively
needed.
Owing
wide
range
of
sources,
diverse
structures,
unique
mode
action,
antimicrobial
peptides
have
been
highly
anticipated
extensively
studied
in
recent
years.
Besides,
integration
artificial
intelligence
helps
researchers
gain
access
vast
unexplored
chemical
space,
which
opens
more
opportunities
for
optimization
design
novel
structures.
Moreover,
Due
advances
chemistry
synthetic
biology,
also
begun
focus
on
potential
mimetics
peptides.
In
this
review,
a
comprehensive
discussion
about
natural
synthesized
as
well
their
is
made,
so
provide
summary
field
inspire
follow‐up
research.