Neuroimmunophysiology of the gastrointestinal tract
Derek M. McKay,
No information about this author
Manon Defaye,
No information about this author
Sruthi Rajeev
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et al.
AJP Gastrointestinal and Liver Physiology,
Journal Year:
2024,
Volume and Issue:
326(6), P. G712 - G725
Published: April 16, 2024
Gut
physiology
is
the
epicenter
of
a
web
internal
communication
systems
(i.e.,
neural,
immune,
hormonal)
mediated
by
cell-cell
contacts,
soluble
factors,
and
external
influences,
such
as
microbiome,
diet,
physical
environment.
Together
these
provide
signals
that
shape
enteric
homeostasis
and,
when
they
go
awry,
lead
to
disease.
Faced
with
seemingly
paradoxical
tasks
nutrient
uptake
(digestion)
retarding
pathogen
invasion
(host
defense),
gut
integrates
interactions
between
variety
cells
signaling
molecules
keep
host
nourished
protected
from
pathogens.
When
system
fails,
outcome
can
be
acute
or
chronic
disease,
often
labeled
"idiopathic"
in
nature
(e.g.,
irritable
bowel
syndrome,
inflammatory
disease).
Here
we
underscore
importance
holistic
approach
physiology,
placing
an
emphasis
on
intercellular
connectedness,
using
neuroimmunophysiology
paradigm.
The
goal
this
opinion
piece
acknowledge
pace
change
brought
our
field
via
single-cell
-omic
methodologies
other
techniques
cell
lineage
tracing,
transgenic
animal
models,
methods
for
culturing
patient
tissue,
advanced
imaging.
We
identify
gaps
hope
inspire
challenge
colleagues
take
up
mantle
advance
awareness
subtleties,
intricacies,
nuances
intestinal
health
disease
defining
pathways
resident
cells,
those
recruited
circulation,
"external"
influences
central
nervous
microbiota.
Language: Английский
A zebrafish model of intestinal epithelial damage reveals macrophages and igfbp1a as major modulators of mucosal healing
Mucosal Immunology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Promoting
intestinal
regeneration
and
enhancing
mucosal
healing
have
emerged
as
promising
therapeutic
alternatives
for
treating
disorders
that
compromise
epithelial
barrier
integrity
function.
However,
the
cellular
molecular
mechanisms
underlying
these
processes
remain
poorly
understood.
This
knowledge
gap
is
partly
due
to
lack
of
reliable
cost-effective
in
vivo
models
studying
governing
damage
regeneration.
Here,
we
developed
a
controlled,
inducible,
targeted
cell
(IEC)
ablation
transgenic
zebrafish
model
recapitulates
features
observed
humans.
Single-cell
RNAseq
live
imaging
revealed
accumulation
macrophages
recovering
intestine,
contributing
its
Furthermore,
overexpression
insulin-like
growth
factor
binding
protein
1a
(igfbp1a)
during
damage.
Morpholino-mediated
knockdown
igfbp1a
exacerbated
impaired
subsequent
In
summary,
introduced
novel
enables
high-throughput
screening
identifying
validating
modulators
Language: Английский
Paneth Cells: Dispensable yet Irreplaceable for the Intestinal Stem Cell Niche
Michaela Quintero,
No information about this author
Linda C. Samuelson
No information about this author
Cellular and Molecular Gastroenterology and Hepatology,
Journal Year:
2024,
Volume and Issue:
19(4), P. 101443 - 101443
Published: Dec. 19, 2024
Language: Английский
Harnessing 3D models to uncover the mechanisms driving infectious and inflammatory disease in the intestine
Diana Micati,
No information about this author
Sara Hlavca,
No information about this author
Wing Hei Chan
No information about this author
et al.
BMC Biology,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: Dec. 31, 2024
Representative
models
of
intestinal
diseases
are
transforming
our
knowledge
the
molecular
mechanisms
disease,
facilitating
effective
drug
screening
and
avenues
for
personalised
medicine.
Despite
emergence
3D
in
vitro
organoid
culture
systems
that
replicate
genetic
functional
characteristics
epithelial
tissue
origin,
there
still
challenges
reproducing
human
physiological
environment
a
format
enables
readouts.
Here,
we
describe
latest
platforms
engineered
to
investigate
environmental
impacts,
host-microbe
interactions
enable
discovery.
This
highlights
potential
revolutionise
on
impact
infection
inflammation
disease
modelling
clinical
translation.
Language: Английский