Developing
new
antibiotics
poses
a
significant
challenge
in
the
fight
against
antimicrobial
resistance
(AMR),
critical
global
health
threat
responsible
for
approximately
5
million
deaths
annually.
Finding
classes
of
that
are
safe,
have
acceptable
pharmacokinetic
properties,
and
appropriately
active
pathogens
is
lengthy
expensive
process.
Therefore,
high-throughput
platforms
needed
to
screen
large
libraries
synthetic
natural
compounds.
In
this
review,
we
present
bacterial
cytological
profiling
(BCP)
as
rapid,
scalable,
cost-effective
method
identifying
mechanisms
action
antibiotics,
offering
promising
tool
combating
AMR
drug
discovery.
We
application
BCP
different
organisms
discuss
BCP's
advantages,
limitations,
potential
improvements.
Furthermore,
highlight
studies
utilized
investigate
listed
Bacterial
Priority
Pathogens
List
2024
identify
whose
profiles
missing.
Lastly,
explore
most
recent
artificial
intelligence
deep
learning
techniques
could
enhance
analysis
data
generated
by
BCP,
potentially
advancing
our
understanding
antibiotic
discovery
novel
druggable
pathways.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: June 1, 2023
Phage
treatment
has
been
used
as
an
alternative
to
antibiotics
since
the
early
1900s.
However,
bacteria
may
acquire
phage
resistance
quickly,
limiting
use
of
treatment.
The
combination
genetically
diverse
phages
displaying
distinct
replication
machinery
in
cocktails
therefore
become
a
novel
strategy
improve
therapeutic
outcomes.
Here,
we
isolated
and
studied
lytic
(SPA01
SPA05)
that
infect
wide
range
clinical
Pseudomonas
aeruginosa
isolates.
These
relatively
small
myophages
have
around
93
kbp
genomes
with
no
undesirable
genes,
30-min
latent
period,
reproduce
high
number
progenies,
ranging
from
218
240
PFU
per
infected
cell.
Even
though
both
lyse
their
hosts
within
4
h,
phage-resistant
emerge
during
Considering
SPA01-resistant
cross-resist
SPA05
vice
versa,
combining
SPA01
for
cocktail
would
be
ineffective.
According
decreased
adsorption
rate
resistant
isolates,
one
anti-phage
mechanisms
occur
through
modification
receptors
on
target
cells.
All
however,
are
susceptible
nucleus-forming
jumbophages
(PhiKZ
PhiPA3),
which
SPA05,
suggesting
recognize
different
receptor
entry.
these
jumbophage
PhiKZ
outperforms
other
tested
combinations
terms
bactericidal
activity
effectively
suppresses
emergence
resistance.
This
finding
reveals
effectiveness
phage-composed
reducing
bacterial
growth
prolonging
evolution
iScience,
Journal Year:
2024,
Volume and Issue:
27(5), P. 109790 - 109790
Published: April 18, 2024
With
the
recent
resurgence
of
phage
therapy
in
modern
medicine,
jumbophages
are
currently
under
spotlight
due
to
their
numerous
advantages
as
anti-infective
agents.
However,
most
significant
discoveries
date
have
primarily
focused
on
nucleus-forming
jumbophages,
not
non-nucleus-forming
counterparts.
In
this
study,
we
compare
biological
characteristics
exhibited
by
two
genetically
diverse
jumbophages:
1)
well-studied
jumbophage,
PhiKZ;
and
2)
newly
discovered
Callisto.
Single-cell
infection
studies
further
show
that
Callisto
possesses
different
replication
machinery,
resulting
a
delay
maturation
compared
PhiKZ.
The
therapeutic
potency
both
phages
was
examined
Microbiology Spectrum,
Journal Year:
2024,
Volume and Issue:
12(3)
Published: Jan. 30, 2024
ABSTRACT
Phenotypic
analysis
assays
such
as
bacterial
cytological
profiling
(BCP)
have
become
increasingly
popular
for
antibiotic
mode
of
action
analysis.
A
plethora
dyes,
protein
fusions,
and
reporter
strains
are
available
been
used
this
purpose,
enabling
both
rapid
categorization
in-depth
mechanisms.
However,
non-expert
researchers
may
struggle
choosing
suitable
interpreting
results.
This
is
a
particular
problem
antibiotics
that
multiple
or
complex
targets,
the
cell
envelope.
Here,
we
set
out
to
curate
minimal
accessible
affordable
phenotypic
allow
distinction
between
membrane
wall
can
identify
dual-action
inhibitors,
be
implemented
in
most
research
environments.
To
end,
employed
BCP,
potential,
fluidity,
synthesis
assays.
assess
specificity
ease
interpretation,
tested
three
well-characterized
commercially
reference
antibiotics:
potassium
ionophore
valinomycin,
lipid
II-binding
glycopeptide
vancomycin,
lantibiotic
nisin,
which
binds
II
forms
pore.
Based
on
our
experiments,
suggest
membrane-potentiometric
probe,
fluorescent
fusions
MinD
MreB
basic
assay
recommend
complementing
these
with
Laurdan-based
fluidity
measurements
PliaI
fusion,
where
indicated.
We
believe
results
provide
guidance
who
wish
use
studies
but
do
not
possess
specialized
equipment
expert
knowledge
employ
full
breadth
possible
techniques.
IMPORTANCE
using
fluorescence
dyes
it
difficult
implement
methods
due
need
and/or
complexity
biology
physiology,
making
interpretation
non-experts.
especially
problematic
compounds
pleiotropic
effects,
inhibitors
In
order
make
labs,
whose
primary
expertise
biology,
limited
resources,
simple
broadly
needed
easy
implement,
execute,
interpret.
curated
does
highly
equipment,
performed
straightforward
interpret
without
knowing
intricacies
biology.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 6, 2025
Abstract
High-throughput
screening
studies
provide
an
additional
approach
to
discovering
repurposed
drugs
for
antimicrobial
treatments.
In
this
work,
we
report
the
identification
of
ENOblock,
anticancer
drug,
as
a
novel
antibiotic
class.
We
computationally
and
experimentally
validated
that
ENOblock
synergizes
with
last
resort
antibiotic,
colistin.
Additionally,
identified
enolase
potential
bacterial
target
ENOblock.
The
in
silico
vitro
antibacterial
activity
translated
into
potent
vivo
efficacy
in
animal
infection
models.
Collectively,
preclinical
data
support
selection
promising
candidate
development,
address
urgent
threat
infections
caused
by
Acinetobacter
baumannii.
Frontiers in Microbiology,
Journal Year:
2025,
Volume and Issue:
16
Published: Feb. 13, 2025
Developing
new
antibiotics
poses
a
significant
challenge
in
the
fight
against
antimicrobial
resistance
(AMR),
critical
global
health
threat
responsible
for
approximately
5
million
deaths
annually.
Finding
classes
of
that
are
safe,
have
acceptable
pharmacokinetic
properties,
and
appropriately
active
pathogens
is
lengthy
expensive
process.
Therefore,
high-throughput
platforms
needed
to
screen
large
libraries
synthetic
natural
compounds.
In
this
review,
we
present
bacterial
cytological
profiling
(BCP)
as
rapid,
scalable,
cost-effective
method
identifying
antibiotic
mechanisms
action.
Notably,
BCP
has
proven
its
potential
drug
discovery,
demonstrated
by
identification
cellular
target
spirohexenolide
A
methicillin-resistant
Staphylococcus
aureus
.
We
application
different
organisms
discuss
BCP’s
advantages,
limitations,
improvements.
Furthermore,
highlight
studies
utilized
investigate
listed
Bacterial
Priority
Pathogens
List
2024
identify
whose
profiles
missing.
also
explore
most
recent
artificial
intelligence
deep
learning
techniques
could
enhance
analysis
data
generated
BCP,
potentially
advancing
our
understanding
discovery
novel
druggable
pathways.
Microbiology Spectrum,
Journal Year:
2023,
Volume and Issue:
11(5)
Published: Sept. 21, 2023
ABSTRACT
Urinary
tract
infections
are
widespread
bacterial
affecting
millions
of
people
annually,
with
Escherichia
coli
being
the
most
prevalent.
Although
phage
therapy
has
recently
gained
interest
as
a
promising
alternative
for
antibiotic-resistant
bacteria,
several
studies
have
raised
concerns
regarding
evolution
resistance,
making
ineffective.
In
this
study,
we
discover
novel
myophage
designated
Killian
that
targets
E.
strains,
including
uropathogenic
(UPEC)
strain
CFT073.
It
requires
at
least
20
minutes
90%
its
particles
to
adsorb
host
cells,
undergoes
subcellular
activities
replication
30
minutes,
and
eventually
lyses
cells
burst
size
about
139
per
cell.
Additionally,
can
withstand
wide
variety
temperatures
(4–50°C)
pHs
(
4
–
10
).
Genome
analysis
reveals
Killian’s
genome
consists
169,905
base
pairs
35.5%
GC
content,
encoding
276
open
reading
frames;
these,
209
functionally
annotated
no
undesirable
genes
detected,
highlighting
potential
an
antibiotic
against
UPEC.
However,
after
8-hour
treatment
high
multiplicities
infection,
density
continuously
increases,
indicating
onset
growth
revival.
Thus,
combination
study
between
three
different
antibiotics,
amikacin,
ciprofloxacin,
piperacillin,
was
performed
showed
certain
antibiotics
exhibited
synergistic
interactions
in
suppressing
These
findings
suggest
Killian-antibiotic
combinations
effective
inhibiting
IMPORTANCE
Phage
been
spotlight
viable
infections.
emergence
resistance
occurs
during
treatment,
not
much
effective.
Here,
present
discovery
that,
by
itself,
effectively
kill
,
but
revival
detected
treatment.
then
combined
improve
efficiency
re-growth.
This
research
would
pave
way
future
development
phage-antibiotic
cocktails
sustainable
use
phages
therapeutic
purposes.
Antibiotics,
Journal Year:
2023,
Volume and Issue:
12(8), P. 1340 - 1340
Published: Aug. 19, 2023
Sensing
of
antibiotic–bacteria
interactions
is
an
important
area
research
that
has
gained
significant
attention
in
recent
years.
Antibiotic
resistance
a
major
public
health
concern,
and
it
essential
to
develop
new
strategies
for
detecting
monitoring
bacterial
responses
antibiotics
order
maintain
effective
antibiotic
development
antibacterial
treatment.
This
review
summarizes
advances
sensing
interactions,
which
are
divided
into
two
main
parts:
studies
on
the
mechanism
action
sensitive
bacteria
interrogation
defense
mechanisms
resistant
ones.
In
conclusion,
this
provides
overview
present
landscape
concerning
emphasizing
potential
method
adaptation
integration
machine
learning
techniques
data
analysis,
could
potentially
lead
transformative
impact
mechanistic
within
field.
Journal of Bacteriology,
Journal Year:
2023,
Volume and Issue:
205(11)
Published: Oct. 31, 2023
With
the
lack
of
new
antibiotics
in
drug
discovery
pipeline,
coupled
with
accelerated
evolution
antibiotic
resistance,
sources
that
target
pathogens
clinical
importance
are
paramount.
Here,
we
use
bacterial
cytological
profiling
to
identify
mechanism
action
monounsaturated
fatty
acid
(
The
increasing
prevalence
of
antimicrobial
resistance
(AMR),
as
microorganisms
develop
to
drugs,
has
emerged
a
critical
concern
in
infection
treatment,
resulting
rising
death
toll.
Assessing
the
effect
drugs
can
provide
insights
by
studying
morphological
change
bacteria
after
drug
treatment.
However,
utilizing
conventional
techniques
such
CellProfiler
for
long-term
and
large-scale
sample
experiments
is
impractical
due
manual
processes
involved.
To
address
this
challenge,
we
proposed
deep
learning-based
object
detection
model
predicting
type
antibiotic
treatment
automatically
extracting
morphology.
Our
combines
YOLOX
two
Cascade
R-CNNs
using
weight
box
fusion
enhance
performance.
It
achieves
an
mIOU
0.753
mAP
0.699
higher
compared
(mAP
=
0.218).
In
addition,
use
computer
vision
approach
extract
features
including
cell
membrane,
DNA,
color
intensity
classify
treated
which
comparable
performance
(F1-Score
0.75,
0.79
respectively).
We
believe
our
work
be
used
automatic
tool
efficiency
prediction
profiles
AMR
applications.
code
web
application
are
available
at
https://github.com/biodatlab/bacteria-detection.
Biotechnology and Applied Biochemistry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 28, 2024
Abstract
In
this
review,
we
aim
to
summarize
experimental
data
and
approaches
identifying
cellular
targets
or
mechanisms
of
action
antibacterials
based
on
imaging
techniques.
Imaging‐based
profiling
methods,
such
as
bacterial
cytological
profiling,
dynamic
morphology
imaging,
others,
have
become
a
useful
research
tool
for
mechanistic
studies
new
antibiotics
well
combinations
with
conventional
ones
other
therapeutic
options.
The
main
methodological
details
obtained
results
are
summarized
discussed.
review
covers
the
literature
up
February
2024.