Emerging Trends in Antimicrobial Resistance in Polar Aquatic Ecosystems
Antibiotics,
Год журнала:
2025,
Номер
14(4), С. 394 - 394
Опубликована: Апрель 10, 2025
The
global
spread
of
antimicrobial
resistance
(AMR)
threatens
to
plummet
society
back
the
pre-antibiotic
era
through
a
resurgence
common
everyday
infections’
morbidity.
Thus,
studies
investigating
antibiotic
genes
(ARGs)
and
antibiotic-resistant
bacteria
(ARB)
in
urban,
agricultural,
clinical
settings,
as
well
extreme
environments,
have
become
increasingly
relevant
One
Health
perspective.
Since
Antarctic
Arctic
regions
are
considered
amongst
few
remaining
pristine
environments
on
Earth,
characterization
their
native
resistome
appears
be
utmost
importance
understand
whether
how
it
is
evolving
result
anthropogenic
activities
climate
change.
In
present
review,
we
report
phenotypic
(e.g.,
disk
diffusion
test)
genotypic
PCR,
metagenomics)
approaches
used
study
AMR
aquatic
environment
polar
regions,
water
represents
one
main
dissemination
routes
nature.
Their
advantages
limits
described,
emerging
trends
resulting
from
analysis
ARB
ARGs
waters
discussed.
detected
these
mostly
comparable
those
more
anthropized
areas,
with
predominance
tetracycline,
β-lactam,
sulfonamide
(and
related
ARGs).
Indeed,
is,
all
cases,
consistently
highlighted
sites
impacted
by
human
wildlife
respect
ones.
Surprisingly,
aminoglycoside
fluroquinolone
determinants
seem
an
even
higher
incidence
compared
that
other
areas
world,
corroborating
need
for
thorough
surveillance
regions.
Язык: Английский
Metagenomics as a Transformative Tool for Antibiotic Resistance Surveillance: Highlighting the Impact of Mobile Genetic Elements with a Focus on the Complex Role of Phages
Antibiotics,
Год журнала:
2025,
Номер
14(3), С. 296 - 296
Опубликована: Март 12, 2025
Extensive
use
of
antibiotics
in
human
healthcare
as
well
agricultural
and
environmental
settings
has
led
to
the
emergence
spread
antibiotic-resistant
bacteria,
rendering
many
infections
increasingly
difficult
treat.
Coupled
with
limited
development
new
antibiotics,
rise
antimicrobial
resistance
(AMR)
caused
a
major
health
crisis
worldwide,
which
calls
for
immediate
action.
Strengthening
AMR
surveillance
systems
is,
therefore,
crucial
global
national
efforts
combating
this
escalating
threat.
This
review
explores
potential
metagenomics,
sequenced-based
approach
analyze
entire
microbial
communities
without
need
cultivation,
transformative
rapid
tool
improving
strategies
compared
traditional
cultivation-based
methods.
We
emphasize
importance
monitoring
mobile
genetic
elements
(MGEs),
such
integrons,
transposons,
plasmids,
bacteriophages
(phages),
relation
their
critical
role
facilitating
dissemination
determinants
via
horizontal
gene
transfer
(HGT)
across
diverse
environments
clinical
settings.
In
context,
strengths
limitations
current
bioinformatic
tools
designed
detect
AMR-associated
MGEs
metagenomic
datasets,
including
emerging
predictive
machine
learning
models,
are
evaluated.
Moreover,
controversial
phages
transmission
is
discussed
alongside
phage
therapy
promising
alternative
conventional
antibiotic
treatment.
Язык: Английский
Artificial intelligence and its application in clinical microbiology
Expert Review of Anti-infective Therapy,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 25, 2025
Traditional
microbiological
diagnostics
face
challenges
in
pathogen
identification
speed
and
antimicrobial
resistance
(AMR)
evaluation.
Artificial
intelligence
(AI)
offers
transformative
solutions,
necessitating
a
comprehensive
review
of
its
applications,
advancements,
integration
clinical
microbiology.
This
examines
AI-driven
methodologies,
including
machine
learning
(ML),
deep
(DL),
convolutional
neural
networks
(CNNs),
for
enhancing
detection,
AMR
prediction,
diagnostic
imaging.
Applications
virology
(e.g.
COVID-19
RT-PCR
optimization),
parasitology
malaria
detection),
bacteriology
automated
colony
counting)
are
analyzed.
A
literature
search
was
conducted
using
PubMed,
Scopus,
Web
Science
(2018-2024),
prioritizing
peer-reviewed
studies
on
AI's
accuracy,
workflow
efficiency,
validation.
AI
significantly
improves
precision
operational
efficiency
but
requires
robust
validation
to
address
data
heterogeneity,
model
interpretability,
ethical
concerns.
Future
success
hinges
interdisciplinary
collaboration
develop
standardized,
equitable
tools
tailored
global
healthcare
settings.
Advancing
explainable
federated
frameworks
will
be
critical
bridging
current
implementation
gaps
maximizing
potential
combating
infectious
diseases.
Язык: Английский
Perspective Chapter: Molecular Diagnostics in Viral Outbreak Surveillance
IntechOpen eBooks,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 16, 2025
Understanding
and
adopting
various
methods
for
monitoring
viral
outbreaks
is
required
pathogen
surveillance.
Accurate
diagnosis
can
play
a
significant
role
in
the
safe
effective
treatment
prescribed.
Africa
remains
burdened
with
host
of
infectious
diseases,
which
challenges
healthcare
systems
proper
management
diseases.
Surveillance
are
implemented
some
parts
that
have
infrastructure
funding
to
perform
routine
testing
screening.
However,
not
all
this
continent
equipped
necessary
tools
support.
With
travel,
tourism
goods
exchange,
diseases
spread
across
borders
rapidly,
posing
threat
global
health,
emphasising
unified
need
efforts
prevent,
detect,
act
on
disease
through
improved
access
vaccinations
treatments.
Effective
response
depends
several
elements,
including
laboratory
capacity,
skilled
health
staff,
surveillance
detect
limit
illnesses
rapidly.
Traditional
molecular
such
as
genotyping
polymerase
chain
reaction
(PCR)-based
detection
now
being
complemented
like
next-generation
sequencing
clustered
regularly
interspaced
short
palindromic
repeats
(CRISPR).
This
book
chapter
aims
summarise
current
broadly
describes
issue
climate
change
its
impact
outbreaks.
Язык: Английский