Impact of Metabolites from Foodborne Pathogens on Cancer
Foods,
Journal Year:
2024,
Volume and Issue:
13(23), P. 3886 - 3886
Published: Dec. 1, 2024
Foodborne
pathogens
are
microorganisms
that
cause
illness
through
contamination,
presenting
significant
risks
to
public
health
and
food
safety.
This
review
explores
the
metabolites
produced
by
these
pathogens,
including
toxins
secondary
metabolites,
their
implications
for
human
health,
particularly
concerning
cancer
risk.
We
examine
various
such
as
Salmonella
sp.,
Campylobacter
Escherichia
coli,
Listeria
monocytogenes,
detailing
specific
of
concern
carcinogenic
mechanisms.
study
discusses
analytical
techniques
detecting
chromatography,
spectrometry,
immunoassays,
along
with
challenges
associated
detection.
covers
effective
control
strategies,
processing
techniques,
sanitation
practices,
regulatory
measures,
emerging
technologies
in
pathogen
control.
manuscript
considers
broader
highlighting
importance
robust
policies,
awareness,
education.
identifies
research
gaps
innovative
approaches,
recommending
advancements
detection
methods,
preventive
policy
improvements
better
manage
foodborne
metabolites.
Language: Английский
Exploring the mediating role of blood metabolites in the relationship between gut microbiota and gastric cancer risk: a Mendelian randomization study
Frontiers in Cellular and Infection Microbiology,
Journal Year:
2025,
Volume and Issue:
14
Published: Jan. 7, 2025
Prior
studies
have
established
correlations
between
gut
microbiota
(GM)
dysbiosis,
circulating
metabolite
alterations,
and
gastric
cancer
(GC)
risk.
However,
the
causal
nature
of
these
associations
remains
uncertain.
We
utilized
summary
data
from
genome-wide
association
(GWAS)
on
GM
(European,
n=8,956),
blood
metabolites
n=120,241;
East
Asian,
n=4,435),
GC
n=476,116;
n=167,122)
to
perform
a
bidirectional
Mendelian
randomization
(MR)
analysis,
investigating
effects
Additionally,
we
conducted
mediation
analysis
(two-step
MR)
identify
potential
mediators
in
GM-GC
relationship.
identified
twelve
negative
seven
positive
specific
taxa
For
metabolites,
traits
were
found
be
significantly
associated
with
reduced
risk
European
population,
findings
subsequently
validated
Asian
cohort.
Three
showed
five
metabolic
traits:
Bacteroidia
class
Bacteroidales
order
positively
correlated
(all
P
<
0.013),
while
Bacteroides
OTU97_27
exhibited
correlation
one
(P
=
0.007).
Two-step
MR
indicated
that
total
lipids
intermediate-density
lipoprotein
(IDL),
IDL
particle
concentration,
phospholipids
medium
low-density
(LDL),
small
LDL,
free
cholesterol
LDL
indirectly
influenced
class/Bacteroidales
GC,
proportions
1.71%
0.048),
1.69%
2.05%
0.045),
1.85%
1.99%
respectively.
The
present
study
provides
suggestive
evidence
relationship
GM,
risk,
potentially
offering
new
insights
into
etiology.
Language: Английский
Unveiling the Interplay Between the Human Microbiome and Gastric Cancer: A Review of the Complex Relationships and Therapeutic Avenues
Cancers,
Journal Year:
2025,
Volume and Issue:
17(2), P. 226 - 226
Published: Jan. 12, 2025
The
human
microbiota
plays
a
crucial
role
in
maintaining
overall
health
and
well-being.
gut
has
been
implicated
developing
progressing
various
diseases,
including
cancer.
This
review
highlights
the
related
mechanisms
compositions
that
influence
cancer
pathogenesis
with
highlight
on
gastric
We
provide
comprehensive
overview
of
by
which
microbiome
influences
development,
progression,
response
to
treatment,
focus
identifying
potential
biomarkers
for
early
detection,
prevention
strategies,
novel
therapeutic
interventions
leverage
modulation.
can
guide
future
research
clinical
practices
understanding
harnessing
optimize
therapies.
Language: Английский
Transcriptional and microbial profile of gastric cancer patients infected with Epstein-Barr virus
Frontiers in Oncology,
Journal Year:
2025,
Volume and Issue:
15
Published: March 5, 2025
Gastric
cancer
(GC),
which
has
low
survival
rates
and
high
mortality,
is
a
major
concern,
particularly
in
Asia
South
America,
with
over
one
million
annual
cases.
Epstein-Barr
virus
(EBV)
recognized
as
carcinogen
that
may
trigger
gastric
carcinogenesis
by
infecting
the
stomach
epithelium
via
reactivated
B
cells,
growing
evidence
linking
it
to
GC.
This
study
investigates
transcriptional
microbial
profiles
of
EBV-infected
versus
EBV-non-infected
GC
patients.
Using
Illumina
NextSeq,
cDNA
libraries
were
sequenced,
reads
aligned
human
genome
analyzed
DESeq2.
Kegg
differential
analyses
revealed
key
genes
pathways.
Gene
sensitivity
specificity
assessed
using
ROC
curves
(p
<
0.05,
AUC
>
0.8).
Non-aligned
used
for
microbiome
analysis
Kraken2
bacterial
identification.
Microbial
included
LDA
score,
Alpha
Beta
diversity
metrics,
significance
set
at
p
≤
0.05.
Spearman's
correlation
between
differentially
expressed
(DEGs)
bacteria
also
examined.
The
data
gene
expression
pattern
EBV-positive
cancer,
highlighting
immune
response,
inflammation,
cell
proliferation
(e.g.,
GBP4,
ICAM1,
IL32,
TNFSF10).
identified
discriminating
EBV+
including
GBP5,
CMKLR1,
GM2A
CXCL11
play
pivotal
roles
cancer.
Functional
enrichment
pointed
cytokine-cytokine
receptor
interactions,
antigen
processing,
Th17
emphasizing
role
tumor
microenvironment,
shaped
inflammation
immunomodulation,
EBV-associated
changes
microbiota
samples,
significant
reduction
taxa.
genera
Choristoneura
Bartonella
more
abundant
GC,
while
EBV-
Citrobacter,
Acidithiobacillus
Biochmannia.
showed
strong
link
DE
DEGs
involved
processes
like
differentiation,
cytokine
production,
digestion,
death.
These
findings
suggest
complex
interaction
host
(EBV+
GC)
microbiota,
possibly
influencing
progression,
offering
potential
therapeutic
targets
such
modulation
or
regulation.
Comparing
samples
further
highlights
specific
impact
EBV
on
pathogenesis.
Language: Английский
Metagenomics and Non‐Targeted Metabolomics Reveal the Role of Gut Microbiota and Its Metabolites in Brain Metastasis of Non‐Small Cell Lung Cancer
Chen‐Guang Liu,
No information about this author
Mei‐Xi Lin,
No information about this author
Yu Xin
No information about this author
et al.
Thoracic Cancer,
Journal Year:
2025,
Volume and Issue:
16(8)
Published: April 1, 2025
ABSTRACT
Background
Brain
metastasis
is
a
common
and
severe
complication
in
non‐small
cell
lung
cancer
(NSCLC)
patients,
significantly
affecting
prognosis.
However,
the
role
of
gut
microbiota
its
metabolites
NSCLC
brain
remains
poorly
understood.
This
study
aims
to
explore
relationship
between
microbiota,
metabolites,
development
NSCLC.
Methods
We
conducted
an
integrative
analysis
combining
metagenomics
non‐targeted
metabolomics
on
baseline
fecal
samples
from
patients
with
(
n
=
18)
those
without
distant
12).
Gut
composition
metabolite
profiles
were
detected
analyzed,
statistical
methods,
including
machine
learning
models,
applied
identify
differences
potential
biomarkers.
Results
Significant
found
two
groups,
higher
microbial
diversity
observed
metastasis.
Specific
genera,
such
as
Paenibacillus
,
Fournierella
Adlercreutzia
enriched
group.
Metabolomic
revealed
altered
levels
short‐chain
fatty
acids
other
associated
immune
modulation
vascular
permeability,
angiotensin
(1–7).
These
changes
linked
metastatic
process
may
influence
development.
Furthermore,
models
identified
key
biomarkers,
Raoultibacter
Mobilibacterium
N
‐acetyl‐L‐glutamic
acid,
which
could
serve
valuable
indicators
for
Conclusions
Our
findings
suggest
that
dysbiosis
metabolic
products
contribute
The
identification
microbiota‐derived
biomarkers
holds
early
detection
therapeutic
intervention
Language: Английский