Communications Biology,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: June 15, 2024
Ulcerative
colitis
(UC)
is
a
significant
inflammatory
bowel
disease
caused
by
an
abnormal
immune
response
to
gut
microbes.
However,
there
are
still
gaps
in
our
understanding
of
how
and
metabolic
changes
specifically
contribute
this
disease.
Our
research
aims
address
gap
examining
mouse
colons
after
inducing
ulcerative
colitis-like
symptoms.
Employing
single-cell
RNA-seq
16
s
rRNA
amplicon
sequencing
analyze
distinct
cell
clusters
microbiomes
the
colon
at
different
time
points
induction
with
dextran
sodium
sulfate.
We
observe
reduction
epithelial
populations
during
acute
colitis,
indicating
tissue
damage,
partial
recovery
observed
chronic
inflammation.
Analyses
cell-cell
interactions
demonstrate
shifts
networking
patterns
among
types
progression.
Notably,
macrophage
phenotypes
exhibit
diversity,
pronounced
polarization
towards
pro-inflammatory
M1
phenotype
conditions,
suggesting
role
heterogeneity
severity.
Increased
expression
Nampt
NOX2
complex
subunits
UC
macrophages
contributes
processes.
The
microbiome
exhibits
reduced
taxonomic
diversity
compared
healthy
conditions
UC.
study
also
highlights
T
differentiation
context
dysbiosis
its
implications
progression,
emphasizing
need
for
targeted
interventions
modulate
balance
colitis.
Biomedicines,
Journal Year:
2024,
Volume and Issue:
12(11), P. 2502 - 2502
Published: Nov. 1, 2024
The
endogenous
ecto-enzyme
and
exogenously
administered
alkaline
phosphatase
(ALP)
have
been
evidenced
to
significantly
attenuate
inflammatory
conditions,
including
Toll-like
receptor
4
(TLR4)-related
signaling
cytokine
overexpression,
barrier
tissue
dysfunction
oxidative
stress,
metabolic
syndrome
insulin
resistance,
in
experimental
models
of
colitis,
liver
failure,
renal
cardiac
ischemia-reperfusion
injury.
This
suggests
multiple
mechanisms
ALP
anti-inflammatory
action
that
remain
be
fully
elucidated.
Renal Failure,
Journal Year:
2024,
Volume and Issue:
46(1)
Published: April 17, 2024
The
mechanisms
underlying
the
complex
correlation
between
immunoglobulin
A
nephropathy
(IgAN)
and
inflammatory
bowel
disease
(IBD)
remain
unclear.
This
study
aimed
to
identify
optimal
cross-talk
genes,
potential
pathways,
mutual
immune-infiltrating
microenvironments
IBD
IgAN
elucidate
linkage
patients
with
IgAN.
datasets
were
obtained
from
Gene
Expression
Omnibus
(GEO).
Three
algorithms,
CIBERSORTx,
ssGSEA,
xCell,
used
evaluate
similarities
in
infiltrating
microenvironment
two
diseases.
Weighted
gene
co-expression
network
analysis
(WGCNA)
was
implemented
dataset
major
immune
infiltration
modules,
Boruta
algorithm,
RFE
LASSO
regression
applied
filter
genes.
Next,
multiple
machine
learning
models
confirm
Finally,
relevant
findings
validated
using
histology
immunohistochemistry
of
mice.
Immune
showed
no
significant
differences
samples
most
cells.
three
algorithms
identified
10
diagnostic
MAPK3,
NFKB1,
FDX1,
EPHX2,
SYNPO,
KDF1,
METTL7A,
RIDA,
HSDL2,
RIPK2;
FDX1
NFKB1
enhanced
kidney
Kyoto
Encyclopedia
Genes
Genomes
15
pathways
diseases,
lipid
metabolism
playing
a
vital
role
cross-talk.
Our
offer
insights
into
shared
IBD.
These
common
cell-mediated
abnormal
immunity
may
inform
further
experimental
studies.
Journal for ImmunoTherapy of Cancer,
Journal Year:
2024,
Volume and Issue:
12(4), P. e008628 - e008628
Published: April 1, 2024
Background
Colitis
caused
by
checkpoint
inhibitors
(CPI)
is
frequent
and
treated
with
empiric
steroids,
but
CPI
colitis
mechanisms
in
steroid-experienced
or
refractory
disease
are
unclear.
Methods
Using
colon
biopsies
blood
from
predominantly
patients,
we
performed
multiplexed
single-cell
transcriptomics
proteomics
to
nominate
contributing
populations.
Results
showed
enrichment
of
CD4
+
resident
memory
(RM)
T
cells
addition
CD8
RM
cytotoxic
cells.
Matching
cell
receptor
(TCR)
clonotypes
suggested
that
both
RMs
progenitors
yield
effectors.
Activated,
CD38
HLA-DR
were
enriched
a
validation
data
set
steroid-naïve
colitis,
underscoring
their
pathogenic
potential
across
steroid
exposure.
Distinct
ulcerative
exhibited
perturbed
stromal
metabolism
(NAD
,
tryptophan)
impacting
epithelial
survival
inflammation.
Endothelial
after
anti-TNF
anti-cytotoxic
T-lymphocyte-associated
antigen
4
(anti-CTLA-4)
upregulated
the
integrin
α4β7
ligand
molecular
vascular
addressin
adhesion
molecule
1
(MAdCAM-1),
which
may
preferentially
respond
vedolizumab
(anti-α4β7).
Conclusions
These
findings
MAdCAM-1
endothelial
for
targeting
specific
subsets
patients.
iScience,
Journal Year:
2024,
Volume and Issue:
27(7), P. 110298 - 110298
Published: June 18, 2024
Fecal
metabolites
effectively
discriminate
inflammatory
bowel
disease
(IBD)
and
show
differential
associations
with
diet.
Metabolomics
AI-based
models,
including
explainable
AI
(XAI),
play
crucial
roles
in
understanding
IBD.
Using
datasets
from
the
UK
Biobank
Human
Microbiome
Project
Phase
II
IBD
Multi'omics
Database
(HMP2
IBDMDB),
this
study
uses
multiple
machine
learning
(ML)
classifiers
Shapley
additive
explanations
(SHAP)-based
XAI
to
prioritize
plasma
fecal
analyze
their
diet
correlations.
Key
findings
include
identification
of
discriminative
like
glycoprotein
acetyl
albumin
plasma,
as
well
nicotinic
acid
andurobilin
feces.
provided
a
more
robust
predictor
model
(AUC
[95%]:
0.93
[0.87-0.99])
compared
0.74
[0.69-0.79]),
stronger
group-differential
diet-metabolite
The
validates
known
metabolite
highlights
impact
on
interplay
between
gut
microbial
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: Feb. 5, 2025
Ulcerative
colitis
(UC)
is
a
chronic
inflammatory
disease
of
the
colonic
mucosa
with
increasing
incidence
worldwide.
Growing
evidence
highlights
pivotal
role
nicotinamide
adenine
dinucleotide
(NAD+)
metabolism
in
UC
pathogenesis,
prompting
our
investigation
into
subtype-specific
molecular
underpinnings
and
diagnostic
potential
NAD+
metabolism-related
genes
(NMRGs).
Transcriptome
data
from
patients
healthy
controls
were
downloaded
GEO
database,
specifically
GSE75214
GSE87466.
We
performed
unsupervised
clustering
based
on
differentially
expressed
(DE-NMRGs)
to
classify
cases
distinct
subtypes.
GSEA
GSVA
identified
biological
pathways
active
within
these
subtypes,
while
CIBERSORT
algorithm
assessed
differential
immune
cell
infiltration.
Weighted
gene
co-expression
network
analysis
(WGCNA)
combined
expression
was
used
pinpoint
specific
NMRGs
UC.
Robust
features
for
subtyping
diagnosis
selected
using
two
machine
learning
algorithms.
Nomograms
constructed
their
effectiveness
evaluated
receiver
operating
characteristic
(ROC)
curves.
Reverse
transcription
quantitative
polymerase
chain
reaction
(RT-qPCR)
conducted
verify
lines.
In
study,
classified
subtypes
DE-NMRGs
levels,
Cluster
A
exhibiting
enhanced
self-repair
capabilities
during
responses
B
showing
greater
inflammation
tissue
damage.
Through
comprehensive
bioinformatics
analyses,
we
four
key
biomarkers
(AOX1,
NAMPT,
NNMT,
PTGS2)
subtyping,
(NNMT,
PARP9)
its
diagnosis.
These
are
closely
linked
various
cells
microenvironment,
particularly
NAMPT
PTGS2,
which
strongly
associated
neutrophil
developed
demonstrated
high
predictive
accuracy,
achieving
area
under
curve
(AUC)
values
up
0.989
0.997
training
set
0.998
0.988
validation
sets.
RT-qPCR
showed
significant
upregulation
NNMT
PARP9
inflamed
versus
normal
epithelia,
underscoring
relevance.
Our
study
reveals
UC,
identifying
findings
could
suggest
therapeutic
targets
contribute
advancing
personalized
treatment
strategies
potentially
improving
patient
outcomes.