Frontiers in Microbiology,
Journal Year:
2023,
Volume and Issue:
14
Published: Dec. 21, 2023
Background
Increasing
evidence
suggests
that
esophageal
cancer
(ESCA)
may
be
correlated
with
gut
flora.
However,
their
causal
connection
remains
unclear.
This
study
aimed
to
evaluate
potential
linkages
and
gene–gut
microbiome
associations
between
the
microbiota
ESCA
using
Mendelian
randomization
(MR).
Methods
We
analyzed
data
genome-wide
association
studies.
The
exposure
factor
outcome
variable
were
ESCA,
respectively.
MR-Egger
method,
weighted
median,
inverse-variance
heterogeneity
test,
sensitivity
analysis,
multiplicity
analysis
used
for
MR
analysis.
And
it
was
validated
an
external
dataset.
Further
meta-analysis
performed
validate
robustness
of
this
relationship.
Finally,
we
annotated
single
nucleotide
polymorphisms
in
causally
associated
explore
possible
host
gene-gut
correlations
patients
ESCA.
Results
identified
four
species
Three
these
had
a
negative
relationship
(odds
ratio
(OR):
0.961;
95%
confidence
interval
(CI):
0.923–0.971;
p
=
0.047
Romboutsia
;
OR:
0.972;
CI:
0.921–0.961;
0.018
Lachnospira
0.948;
0.912–0.970;
0.032
Eubacterium
).
A
positive
observed
one
bacterial
group
(OR:
1.105;
1.010–1.072;
Veillonella
External
datasets
show
same
trend.
is
further
supported
by
meta-analysis.
None
showed
pleiotropy,
leave-one-out
indicated
reliability
findings.
microbiomes
correlate
19
genes.
Conclusion
Our
indicate
link
bacteria
identify
correlation
genes
offering
novel
therapeutic
options.
Blood Advances,
Journal Year:
2024,
Volume and Issue:
8(9), P. 2268 - 2278
Published: March 20, 2024
Causal
relationships
between
gut
microbiota,
inflammatory
cytokines,
and
diffuse
large
B-cell
lymphoma
(DLBCL)
remain
elusive.
In
addressing
this
gap,
our
Mendelian
randomization
(MR)
study
used
data
from
the
MiBioGen
consortium
encompassing
211
microbiota
taxa
(n
=
18
340),
genome-wide
association
meta-analyses
of
47
DLBCL
cases
controls
FinnGen
(cases,
n
1010;
controls,
287
137).
Through
bidirectional
MR
analyses,
we
examined
causal
links
mediation
including
2-step
multivariable
(MVMR),
to
identify
potential
mediating
cytokines.
Our
findings
revealed
that
4
were
causally
associated
with
DLBCL,
conversely,
influenced
abundance
20
taxa.
Specifically,
in
analysis,
both
genus
Ruminococcaceae
UCG-002
(odds
ratio
[OR],
1.427;
95%
confidence
interval
[CI],
1.011-2.015;
P
.043)
cytokine
monokine
induced
by
gamma
(MIG)
(OR,
1.244;
CI,
1.034-1.487;
.020)
found
be
an
increased
risk
DLBCL.
Additionally,
a
positive
was
observed
MIG
1.275;
1.069-1.520;
.007).
Furthermore,
MVMR
analysis
indicated
mediated
MIG,
contributing
14.9%
effect
(P
.005).
conclusion,
provides
evidence
supports
relationship
role
played
MIG.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(19), P. 10255 - 10255
Published: Sept. 24, 2024
Hematologic
malignancies
(HMs),
including
leukemia,
lymphoma,
and
multiple
myeloma,
involve
the
uncontrolled
proliferation
of
abnormal
blood
cells,
posing
significant
clinical
challenges
due
to
their
heterogeneity
varied
treatment
responses.
Despite
recent
advancements
in
therapies
that
have
improved
survival
rates,
particularly
chronic
lymphocytic
leukemia
acute
lymphoblastic
treatments
like
chemotherapy
stem
cell
transplantation
often
disrupt
gut
microbiota,
which
can
negatively
impact
outcomes
increase
infection
risks.
This
review
explores
complex,
bidirectional
interactions
between
microbiota
cancer
patients
with
HMs.
Gut
influence
drug
metabolism
through
mechanisms
such
as
production
enzymes
bacterial
β-glucuronidases,
alter
efficacy
toxicity.
Moreover,
microbial
metabolites
short-chain
fatty
acids
modulate
host
immune
response,
enhancing
effectiveness.
However,
therapy
reduces
diversity
beneficial
bacteria,
Bifidobacterium
Faecalibacterium,
while
increasing
pathogenic
bacteria
Enterococcus
Escherichia
coli.
These
findings
highlight
critical
need
preserve
during
treatment.
Future
research
should
focus
on
personalized
microbiome-based
therapies,
probiotics,
prebiotics,
fecal
transplantation,
improve
quality
life
for
hematologic
malignancies.
Hematological Oncology,
Journal Year:
2025,
Volume and Issue:
43(2)
Published: Feb. 14, 2025
This
study
aims
to
focus
on
GM
at
species
level,
exploring
the
causal
associations
with
different
kinds
of
lymphoma
provide
some
information
potential
intervention
directions
in
lymphoma.
Data
taxa
were
extracted
from
genome-wide
association
conducted
by
MiBioGen
and
Dutch
Microbiome
Project
(DMP),
those
lymphomas
obtained
FinnGen
consortium.
Inverse
variance
weighted
(IVW)
method
Bonferroni
multiple
correction
utilized
assess
The
effect
size
was
expressed
odds
ratios
(ORs)
95%
confidence
intervals
(CIs).
Reverse
analysis
has
also
been
performed.
Additionally,
scatter
plots
leave-one-out
test
for
sensitivity
analysis.
After
correction,
IVW
estimates
suggested
that
elevated
relative
abundance
Faecalibacterium_prausnitzii
had
a
negatively
increased
Hodgkin's
(HL)
(OR
=
0.584,
CI:
0.516-0.662).
Relative
Gordonibacter_pamelaeae,
Holdemania_filiformis,
Sutterella_wadsworthensis
Coprococcus_sp_ART55_1
associated
follicular
(FL)
odds,
whereas
Bifidobacterium_catenulatum
Coprococcus_comes
positively
FL
(all
p
<
0.05).
Akkermansia_muciniphila
non-follicular
(NFL)
respectively,
while
Bacteroides_uniformis
positive
one
Flavonifractor_plautii
linked
diffuse
large
B-cell
(DLBCL)
risk
0.471,
0.344-0.645).
Eggerthella_unclassified
T/NK
cell
(TNK)
Ruminococcus_lactaris
TNK
Elevated
Parabacteroides_unclassified
higher
non-Hodgkin's
(NHL)
1.955,
1.654-2.312).
Holdemania_filiformis
mantle
(MCL)
0.637,
0.544-0.746).
Rothia_mucilaginosa
Lachnospiraceae_bacterium_3_1_46FAA
marginal
zone
(MZL)
risk,
Alistipes_senegalensis
negative
identified
16
have
lymphoma,
which
provided
new
idea
further
exploration
prevention
treatment
targets
International Journal for Vitamin and Nutrition Research,
Journal Year:
2025,
Volume and Issue:
95(1)
Published: Feb. 12, 2025
Background:
Vitamin
D
(VD)
and
gut
microbiota
(GM)
are
important
variables
in
pediatric
hematopoietic
stem
cell
transplantation
(HSCT)
recipients
with
bloodstream
infections
(BSI).
Both
VD
GM
play
significant
roles
immune
regulation
maintaining
intestinal
barrier
function.
Methods:
This
prospective
case-control
study
included
48
consecutive
patients
who
underwent
HSCT,
as
well
20
healthy
children
from
the
community.
Plasma
samples
were
collected
pre-
post-HSCT,
together
post-HSCT
fecal
samples.
Serum
25-hydroxyvitamin
(25(OH)D)
1,25-dihydroxyvitamin
D3
(1,25(OH)2D3)
measured
using
chemiluminescence
enzyme
linked
immunosorbent
assay,
respectively.
was
analyzed
by
16S
rDNA
next
generation
sequencing.
Results:
The
incidence
of
BSI
HSCT
33.3%
(16/48).
No
differences
serum
25(OH)D
or
1,25(OH)2D3
levels
observed
between
non-BSI
groups
either
before
after
transplantation,
control
group.
α-diversity
significantly
lower
than
subjects.
Proteobacteria
more
abundant
(p
=
0.0434)
controls
0.0193).
Pediatric
showed
higher
Staphylococcus
<
0.001),
Pseudomonas
Enterococcus
Clostridium
innocuum
0.0175)
Enterobacter
0.0394)
compared
to
controls,
whereas
Firmicutes
0.009),
Actinobacteria
Bifidobacterium
0.001)
Faecalibacterium
lower.
β-diversity
analysis
revealed
population
three
groups.
Conclusions:
These
results
indicate
there
is
no
practical
value
monitoring
patients.
During
BSI,
experiences
a
loss
probiotics
an
increase
potential
pathogens.
Cancer Immunology Immunotherapy,
Journal Year:
2025,
Volume and Issue:
74(4)
Published: March 3, 2025
Diffuse
large
B-cell
lymphoma
(DLBCL)
is
the
most
common
subtype
of
non-Hodgkin
lymphoma,
with
significant
clinical
heterogeneity.
Recent
studies
suggest
that
intratumoral
microbiome
may
influence
tumor
microenvironment,
affecting
patient
prognosis
and
therapeutic
responses.
This
study
aims
to
identify
microbiome-related
subtypes
in
DLBCL
assess
their
impact
on
prognosis,
immune
infiltration,
sensitivity.
Transcriptomic
data
from
48
patients
were
obtained
public
databases.
Consensus
clustering
was
used
classify
into
distinct
subtypes.
Functional
enrichment
analysis,
infiltration
assessments,
single-cell
RNA
sequencing
performed
explore
biological
characteristics
these
Drug
sensitivity
predictions
made
using
OncoPredict
tool.
Hub
genes'
expression
function
validated
inferred
cell
lines
independent
cohorts
DLBCL.
Two
identified.
Patients
Cluster
1
exhibited
significantly
better
overall
survival
(P
<
0.05),
higher
regulatory
T
cells
M0
macrophages
compared
2,
which
associated
poorer
outcomes.
analysis
revealed
genes
involved
pathways,
including
cytokine-cytokine
receptor
interactions
chemokine
signaling,
suggesting
enhanced
anti-tumor
In
contrast,
2
enriched
immunosuppressive
contributing
a
less
favorable
prognosis.
Single-cell
heterogeneity
populations
within
microenvironment.
B
notable
heterogeneity,
as
indicated
by
stemness
differentiation
potential
scoring.
Intercellular
communication
demonstrated
played
key
role
interactions,
differences
observed
MIF
signaling
between
subgroups.
Pseudo-time
further
trajectories
cells,
highlighting
across
different
environments.
Metabolic
pathway
showed
average
levels
metabolic
pathways
among
subgroups,
functional
specialization.
Furthermore,
interaction
core
microbiome-driven
differentially
expressed
identified
nine
(GSTM5,
LURAP1,
LINC02802,
MAB21L3,
C2CD4D,
MMEL1,
TSPAN2,
CITED4),
found
play
critical
roles
influenced
microbiome.
MMEL1
CITED4
important
biologically
classification.
demonstrates
prognostic
significance
DLBCL,
identifying
activity,
The
findings
provide
insights
focusing
dynamics.
These
results
lay
foundation
for
microbiome-based
biomarkers
personalized
treatment
approaches,
ultimately
aiming
enhance
outcomes
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: March 24, 2025
Gut
microbiome
influences
tumorigenesis
and
tumor
progression
through
regulating
the
microenvironment
(TME)
modifying
blood
metabolites.
However,
mechanisms
by
which
gut
metabolites
regulate
TME
in
multiple
myeloma
(MM)
remain
unclear.
By
employing16S
rRNA
gene
sequencing
coupled
with
metagenomics
ultra-performance
liquid
chromatography
quadrupole
time-of-flight
mass
spectrometry,
we
find
that
Lachnospiraceae
are
high
phosphatidylcholine
(PC)
low
MM
patients.
We
further
show
inhibits
PC
production
from
cells
enhances
cytotoxic
CD8
T
cell
function.
Mechanistically,
promotes
Sb9
mRNA
maturation
LIN28A/B
via
lysophosphatidic
acid,
thus
exosamal
production.
Exosamal
then
reduces
GZMB
expression
suppressing
protein
p53
(TP53)
UFMylation
competitive
binding
of
TP53
ubiquitin-fold
modifier
conjugating
enzyme
1
cells.
may
be
potential
therapeutic
targets
for
treatment.
The
mechanism
Here
authors
can
suppress
production,
latter
inhibiting
function
elicited
exosomal
SerpinB9
myeloma.
Cancers,
Journal Year:
2024,
Volume and Issue:
16(8), P. 1464 - 1464
Published: April 11, 2024
Recent
research
has
implicated
the
gut
microbiota
in
development
of
lymphoma.
Dysbiosis
microbial
community
can
disrupt
production
metabolites,
thereby
impacting
host
physiology
and
potentially
contributing
to
Dysbiosis-driven
release
metabolites
such
as
lipopolysaccharides
promote
chronic
inflammation,
elevating
risk
In
contrast,
short-chain
fatty
acids,
have
shown
promise
preclinical
studies
by
promoting
regulatory
T-cell
function,
suppressing
preventing
Another
metabolite,
urolithin
A,
exhibited
immunomodulatory
antiproliferative
properties
against
lymphoma
cell
lines
vitro.
While
on
role
is
limited,
this
article
emphasizes
need
comprehend
their
significance,
including
therapeutic
applications,
molecular
mechanisms
action,
interactions
with
standard
chemotherapies.
The
also
suggests
promising
directions
for
future
emerging
field
connection
between
microbiome.
Frontiers in Nutrition,
Journal Year:
2024,
Volume and Issue:
11
Published: April 25, 2024
Obesity,
a
public
health
challenge,
arises
from
complex
interplay
of
factors
such
as
dietary
habits
and
genetic
predisposition.
Alterations
in
gut
microbiota,
characterized
by
an
imbalance
between
Firmicutes
Bacteroidetes,
further
exacerbate
metabolic
dysregulation,
promoting
inflammation
disturbances.
Intermittent
fasting
(IF)
emerges
promising
strategy
showing
efficacy
weight
management
favoring
fat
utilization.
Studies
have
used
mice
animal
models
to
demonstrate
the
impact
IF
on
microbiota
composition,
highlighting
enhanced
metabolism
reduced
inflammation.
In
humans,
preliminary
evidence
suggests
that
promotes
healthy
profile,
with
increased
richness
abundance
beneficial
bacterial
strains
like
Lactobacillus
Akkermansia
.
However,
clinical
trials
are
necessary
validate
these
findings
elucidate
long-term
effects
obesity.
Future
research
should
focus
specific
tissues
cells,
use
advanced
-omics
techniques,
exploring
interaction
other
patterns,
analyze
gene
expression,
potential
synergistic
for
health.
While
supports
benefits
obesity
regulation,
diverse
populations
robust
methodologies
is
understand
its
implications
optimize
personalized
interventions.
This
review
explores
intricate
relationship
Specifically,
we
will
elucidating
underlying
mechanisms
through
which
affects
well
subsequent