Environment International,
Год журнала:
2025,
Номер
197, С. 109320 - 109320
Опубликована: Фев. 12, 2025
Migratory
birds
play
a
pivotal
role
in
the
global
dissemination
of
antimicrobial
resistance
genes
(ARGs),
with
shorebirds
relying
on
coastal
wetlands
during
their
long-distance
migrations,
environments
often
contaminated
and
conducive
to
ARG
transmission.
However,
systematic
investigations
into
(AMR)
remain
scarce.
During
spring
autumn
2023,
we
collected
893
throat
cloacal
swabs
from
480
shorebirds,
representing
28
species,
at
Chongming
Dongtan,
critical
stopover
along
East
Asian-Australasian
Flyway.
Our
analysis
identified
six
strains,
including
four
extra-intestinal
pathogenic
E.
coli
(ExPEC)
two
K.
pneumoniae,
that
exhibited
third-generation
cephalosporins,
three
ExPEC
strains
exhibiting
significant
virulence
Galleria
mellonella
infection
assays.
We
conjugative
plasmids:
E042113F_p1,
carrying
blaCMY-2
gene
coli,
M50_p2,
blaKPC-2
hypervirulent
pneumoniae
plasmid
harboring
aerobactin
system.
Bioinformatic
experimental
analyses
confirmed
these
plasmids
could
transfer
without
any
fitness
cost,
remaining
stable
for
least
30
passages.
Surprisingly,
genomic
tracing
revealed
among
similar
E042113F_p1
(blaCMY-2),
earliest
was
Chinese
swallow
2015,
subsequent
detections
wild
Mongolia
(2017),
Russia
(2018),
Australia
(2019).
Notably,
E04-CMY-like/M50-KPC-like
predominantly
originated
human
sources,
underscoring
activity
cross-species
transmission
AMR.
This
human-mediated
elements
wildlife
posed
substantial
risk
amplifying
disseminating
AMR
through
long-range
migratory
bird
movements,
highlighting
urgent
need
international
collaboration
under
One
Health
framework.
Integrated
surveillance,
environmental
management,
stringent
antibiotic
stewardship
are
mitigating
risks
by
spreading
across
ecosystems.
Nature Reviews Earth & Environment,
Год журнала:
2024,
Номер
5(7), С. 504 - 521
Опубликована: Июнь 6, 2024
Effective
management
of
water
resources
is
crucial
for
global
food
security
and
sustainable
development.
In
this
Review,
we
explore
the
potential
benefits
challenges
associated
with
treated
wastewater
(TW)
reuse
irrigation.
Currently,
400
km3
yr−1
generated
globally,
but
<20%
treated,
that
TW,
only
2–15%
reused
irrigation
depending
on
region.
The
main
limitation
TW
inability
current
treatment
technologies
to
completely
remove
all
micropollutants
contaminants
emerging
concern,
some
which
have
unknown
impacts
crops,
environment
health.
However,
advanced
schemes,
supported
by
quality
monitoring
regulations,
can
provide
a
stable
supply
agricultural
production,
as
demonstrated
in
regions
such
USA
Israel.
Such
schemes
could
potentially
serve
net
energy
source,
embedded
exceeds
needs
9
10
times.
Agriculturally
useful
nutrients
nitrogen,
phosphorus
potassium
be
also
recovered
reused.
act
major
contributor
circular
economy
development,
first
steps
will
funding
implementation
social
acceptance.
Treated
alleviate
imbalances
boost
production
water-scarce
regions,
thus
promoting
security.
This
Review
discusses
widespread
agriculture
framework.
Nature Communications,
Год журнала:
2025,
Номер
16(1)
Опубликована: Янв. 2, 2025
Abstract
Genomics
is
a
cornerstone
of
modern
pathogen
epidemiology
yet
demonstrating
transmission
in
One
Health
context
challenging,
as
strains
circulate
and
evolve
within
between
diverse
hosts
environments.
To
identify
phylogenetic
linkages
better
define
relevant
measures
genomic
relatedness
context,
we
collated
5471
Escherichia
coli
genome
sequences
from
Australia
originating
humans
(
n
=
2996),
wild
animals
870),
livestock
649),
companion
375),
environmental
sources
292)
food
289)
spanning
over
36
years.
Of
the
827
multi-locus
sequence
types
(STs)
identified,
10
STs
were
commonly
associated
with
cross-source
clusters,
including
highly
clonal
ST131,
pandemic
zoonotic
lineages
such
ST95,
emerging
human
ExPEC
ST1193.
Here,
show
that
assessing
relationships
at
≤
100
SNP
threshold
enabled
detection
linkage
otherwise
obscured
when
applying
typical
outbreak-oriented
thresholds
20
SNPs)
should
be
considered
interrogation
datasets.
Computational and Structural Biotechnology Journal,
Год журнала:
2025,
Номер
27, С. 423 - 439
Опубликована: Янв. 1, 2025
Antimicrobial
resistance
(AMR)
is
a
major
threat
to
global
public
health.
The
current
review
synthesizes
address
the
possible
role
of
Artificial
Intelligence
and
Machine
Learning
(AI/ML)
in
mitigating
AMR.
Supervised
learning,
unsupervised
deep
reinforcement
natural
language
processing
are
some
main
tools
used
this
domain.
AI/ML
models
can
use
various
data
sources,
such
as
clinical
information,
genomic
sequences,
microbiome
insights,
epidemiological
for
predicting
AMR
outbreaks.
Although
relatively
new
fields,
numerous
case
studies
offer
substantial
evidence
their
successful
application
outbreaks
with
greater
accuracy.
These
provide
insights
into
discovery
novel
antimicrobials,
repurposing
existing
drugs,
combination
therapy
through
analysis
molecular
structures.
In
addition,
AI-based
decision
support
systems
real-time
guide
healthcare
professionals
improve
prescribing
antibiotics.
also
outlines
how
AI
surveillance,
analyze
trends,
enable
early
outbreak
identification.
Challenges,
ethical
considerations,
privacy,
model
biases
exist,
however,
continuous
development
methodologies
enables
play
significant
combating
Frontiers in Microbiology,
Год журнала:
2024,
Номер
15
Опубликована: Март 6, 2024
Introduction
Salmonella
is
a
major
foodborne
pathogen
worldwide
that
causes
severe
morbidity
and
mortality.
It
mainly
caused
by
consuming
contaminated
food,
with
retail
food
considered
the
primary
source.
Methods
In
Guizhou,
China,
102
strains
isolated
from
2016
to
2021
underwent
phenotypic
antimicrobial
resistance
testing
whole-genome
sequencing
(WGS)
understand
diversity,
including
serotypes,
types
(STs),
genes,
virulence
plasmid
types,
multi-locus
sequence
(MLST),
core
genome
MLST
(cgMLST).
Results
discussion
S.Typhimurium
was
dominant
serotype,
O:4(B)
leading
serogroup.
The
most
prevalent
genotype
ST40.
Phenotypic
identified
66.7%
of
sampled
isolates
as
multi-drug
resistant
(MDR).
S.Enteritidis
(
n
=
7),
1),
S.Indiana
S.
Kentucky
Uganda
all
which
were
MDR,
Colistin.
Resistance
rates
varied
significantly
across
different
particularly
meat
products
exhibiting
higher
resistance.
Notably,
significant
increases
in
observed
for
following:
≥
1
P
0.001),
MDR
ampicillin
tetracycline
<
chloramphenicol
0.030),
trimethoprim/sulfamethoxazole
0.003).
marked
escalation
drug
over
recent
years,
coupled
varying
among
sources,
underscores
growing
public
health
concern.
Our
findings
highlight
need
coordinated
approach
effectively
monitor
respond
infections
China.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Март 11, 2024
Abstract
The
detection
of
antimicrobial
resistance
(AMR)
markers
directly
from
genomic
or
metagenomic
data
is
becoming
a
standard
clinical
and
public
health
procedure.
This
has
resulted
in
the
development
number
different
bioinformatic
AMR
prediction
tools.
Although
many
may
implement
similar
principles,
these
tools
differ
significantly
their
supported
inputs,
search
algorithms,
parameterisation,
underlying
reference
databases.
Each
generates
report
detected
genes
variants
distinct,
non-standard,
format.
presents
huge
barrier
to
comparison
results
modularity
for
gene
within
workflows.
In
collaboration
with
17
laboratories
across
10
countries,
Public
Health
Alliance
Genomic
Epidemiology
(PHA4GE)
(
https://pha4ge.org
)
structures
working
group
developed
piloted
standardized
output
specification
microbial
genomes.
this
report,
we
discuss
hAMRonization,
python
package
command-line
utility,
which
implements
PHA4GE’s
combine
outputs
disparate
into
single
unified
hAMRonization
can
be
easily
extended
currently
supports
18
(both
species-agnostic
species-specific)
and/or
conferring
AMR.
harmonized
reports
are
available
tabular
form,
JSON
format
through
an
interactive
HTML
file
(e.g.,
https://maguire-lab.github.io/assets/interactive_report_demo.html
that
opened
browser
navigable
exploration.
As
2024-03-07
been
downloaded
∼12,500
times,
incorporated
>9
workflows,
internally
adopted
by
several
national
international
groups.
tool
open-source
freely
PyPI,
conda
GitHub
https://github.com/pha4ge/hAMRonization
).
Antimicrobial
resistance
poses
a
significant
threat
to
global
health,
with
its
spread
intricately
linked
across
human,
animal,
and
environmental
sectors.
Revealing
the
antimicrobial
gene
(ARG)
flow
among
One
Health
sectors
is
essential
for
better
control
of
resistance.
In
this
study,
we
investigated
regional
ARG
transmission
humans,
food,
environment
in
Dengfeng,
Henan
Province,
China
by
combining
large-scale
metagenomic
sequencing
culturing
resistant
bacterial
isolates
592
samples.
A
total
40
types
743
subtypes
were
identified,
predominance
multidrug
genes.
Compared
microbes
from
human
fecal
samples,
those
food
samples
showed
significantly
higher
load
ARGs.
We
revealed
that
dietary
habits
occupational
exposure
affect
abundance.
Pseudomonadota,
particularly
Enterobacteriaceae,
identified
as
main
carriers
shaping
resistome.
The
resistome
was
found
more
affected
mobile
genetic
elements
(MGEs),
whereas
it
associated
microbial
composition.
evidenced
horizontal
transfer
(HGT)
mediated
plasmids
phages,
together
strain
transmission,
Enterobacteriaceae
members,
drive
flow.
Lifestyle,
habits,
are
all
correlated
dissemination
flies
important
potential
sources
ARGs
humans.
widespread
carbapenemase
gene,
OXA-347,
carried
non-Enterobacteriaceae
bacteria
gut
microbiota,
requires
particular
attention.
Finally,
machine
learning
models
based
on
microbiome
profiles
effective
predicting
presence
carbapenem-resistant
strains,
suggesting
valuable
approach
AMR
surveillance.
Our
study
provides
full
picture
county-level
city
China,
which
facilitates
understanding
complex
routes
highlights
new
points
focus
surveillance
control.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 10, 2025
Abstract
Antimicrobial
resistance
(AMR)
poses
a
growing
threat
to
human
health.
Increasingly,
genome
sequencing
is
being
applied
for
the
surveillance
of
bacterial
pathogens,
producing
wealth
data
train
machine
learning
(ML)
applications
predict
AMR
and
identify
determinants.
However,
populations
are
highly
structured
sampling
biased
towards
disease
isolates,
meaning
samples
derived
features
not
independent.
This
rarely
considered
in
ML
AMR.
Here,
we
demonstrate
confounding
effects
sample
structure
by
analyzing
over
24,000
whole
sequences
phenotypes
from
five
diverse
using
pathological
training
where
confounded
with
phylogeny.
We
show
resulting
models
perform
poorly,
increasing
size
fails
rescue
performance.
A
comprehensive
analysis
6,740
identifies
species-
drug-specific
on
model
accuracy.
provide
concrete
recommendations
evaluating
future
approaches
Chemical Biology Letters,
Год журнала:
2024,
Номер
11(2), С. 662 - 662
Опубликована: Апрель 18, 2024
Antimicrobial
resistance
(AMR)
poses
a
significant
threat
to
global
health.
It
makes
treating
bacterial
infections
increasingly
difficult.
AMR
arises
from
various
mechanisms
of
antibiotic
including
enzymatic
inactivation,
target
alteration,
efflux
pumps,
and
decreased
permeability.
The
limited
often
ineffective
treatments
relying
on
antibiotics
their
combinations
result
in
increased
morbidity
mortality.
Therefore,
it
is
essential
explore
alternative
methods
for
combating
the
challenge
AMR.
In
recent
years,
there
has
been
notable
shift
towards
precision
medicine
battle
against
Precision
medicine,
characterized
by
its
focus
individualized
treatment
tailored
patients'
specific
genetic
makeup,
offers
paradigm
addressing
challenges.
By
pinpointing
molecular
targets
responsible
infection,
enables
more
targeted
effective
therapies,
minimizing
risk
antimicrobial
development.
can
provide
an
option
combat
focusing
infection.
Bacteriophages
peptides
(AMPs)
are
groups
antimicrobials
that
serve
as
novel
alternatives
challenge.
They
have
potential
be
used
therapy.
Despite
challenges
such
host
range,
which
refers
bacteria
they
infect,
regulatory
concerns
related
approval
usage,
bacteriophages
proven
causing
infections.
Meanwhile,
AMPs
approach
antibiotic-resistant
due
low
weight
broad-spectrum
activity.
first
line
defense
microorganisms.
When
alone
or
combined
with
other
biomaterials
increase
therapeutic
action,
This
review
article
aims
comprehensive
overview
current
understanding
clinical
conventional
pressing
URN:NBN:sciencein.cbl.2024.v11.662
One Health,
Год журнала:
2024,
Номер
unknown, С. 1 - 1
Опубликована: Янв. 31, 2024
Antimicrobial
resistance
(AMR)
such
as
extended-spectrum
beta-lactamase
(ESBL)-producing
and
carbapenem-resistant
(CARBA)
Enterobacterales
is
a
main
global
cause
of
human
deaths
major
health
burden
to
domestic
animals.
AMR
circulation
in
wildlife
has
also
been
reported
worldwide,
but
the
public
impact
policy
actions
that
could
limit
this
remain
unknown.
Here,
we
summarize
key
trends
wildlife,
clarify
use
term
'reservoir'
when
referring
identify
whether
national
plans
tackle
Latin
America
Europe
include
discuss
implications
circulation.
We
provide
recommendations
for
surveillance
prevention
among
wild
animals,
well
scientific
knowledge
gaps
are
hindering
understanding
its
dynamics.
expect
our
conclusions
shed
light
on
necessity
degree
control
regarding
at
human–animal–environment
interface.