Changes in RNA Splicing: A New Paradigm of Transcriptional Responses to Probiotic Action in the Mammalian Brain
Microorganisms,
Journal Year:
2025,
Volume and Issue:
13(1), P. 165 - 165
Published: Jan. 14, 2025
Elucidating
the
gene
regulatory
mechanisms
underlying
gut–brain
axis
is
critical
for
uncovering
novel
interaction
pathways
and
developing
therapeutic
strategies
gut
bacteria-associated
neurological
disorders.
Most
studies
have
primarily
investigated
how
bacteria
modulate
host
epigenetics
expression;
their
impact
on
alternative
splicing,
particularly
in
brain,
remains
largely
unexplored.
Here,
we
effects
of
gut-associated
probiotic
Lacidofil®
splicing
across
10
regions
rat
brain
using
published
RNA-sequencing
data.
The
altogether
altered
2941
differential
events,
predominantly,
skipped
exon
(SE)
mutually
exclusive
(MXE)
events.
Protein–protein
interactions
a
KEGG
analysis
differentially
spliced
genes
(DSGs)
revealed
consistent
enrichment
spliceosome
vesicle
transport
complexes,
as
well
related
to
neurodegenerative
diseases,
synaptic
function
plasticity,
substance
addiction
regions.
Using
PsyGeNET
platform,
found
that
DSGs
from
locus
coeruleus
(LConly),
medial
preoptic
area
(mPOA),
ventral
dentate
gyrus
(venDG)
were
enriched
depression-associated
or
schizophrenia-associated
genes.
Notably,
highlight
App
gene,
where
precisely
regulated
two
exons
causally
involved
amyloid
β
protein-based
diseases.
Although
factors
exhibited
both
plasticity
expression
response
Lacidofil®,
overlap
between
expressed
(DEGs)
most
was
rather
low.
Our
study
provides
mechanistic
insight
into
probiotics
might
influence
through
modulation
RNA
splicing.
Language: Английский
Lysosomal Ion Channels and Transporters: Recent Findings, Therapeutic Potential, and Technical Approaches
Bioelectricity,
Journal Year:
2025,
Volume and Issue:
7(1), P. 29 - 57
Published: March 1, 2025
In
recent
years,
there
has
been
a
growing
interest
in
lysosomal
ion
channels
and
transporters
due
to
their
critical
role
maintaining
function
involvement
variety
of
diseases,
particularly
storage
cancer,
neurodegenerative
disorders.
Recent
advancements
research
techniques,
including
manual
automated
patch
clamp
(APC)
electrophysiology,
solid-supported
membrane-based
electrophysiology
(SSME),
fluorescence-based
imaging,
have
further
enhanced
our
ability
investigate
both
physiological
pathological
conditions,
spurring
drug
discovery
efforts.
Several
pharmaceutical
companies
are
now
developing
therapies
aimed
at
modulating
these
improve
disease.
Small
molecules
targeting
like
transient
receptor
potential
mucolipin
(TRPML)
1
TMEM175,
as
well
drugs
pH,
currently
preclinical
clinical
development.
This
review
provides
an
overview
the
health
disease,
highlights
cutting-edge
techniques
used
study
them,
discusses
therapeutic
treatment
various
diseases.
Furthermore,
addition
summarizing
discoveries,
we
contribute
novel
functional
data
on
cystinosin,
TRPML1,
two-pore
channel
2
(TPC2),
utilizing
SSME
APC
approaches.
Language: Английский
Brain maps of general cognitive function and spatial correlations with neurobiological cortical profiles
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 17, 2024
In
this
paper,
we
attempt
to
answer
two
questions:
1)
which
regions
of
the
human
brain,
in
terms
morphometry,
are
most
strongly
related
individual
differences
domain-general
cognitive
functioning
(g)?
and
2)
what
underlying
neurobiological
properties
those
regions?
We
meta-analyse
vertex-wise
g-cortical
morphometry
(volume,
surface
area,
thickness,
curvature
sulcal
depth)
associations
using
data
from
3
cohorts:
UK
Biobank
(UKB),
Generation
Scotland
(GenScot),
Lothian
Birth
Cohort
1936
(LBC1936),
with
meta-analytic
N
=
38,379
(age
range
44
84
years
old).
These
g-morphometry
vary
magnitude
direction
across
cortex
(|β|
-0.12
0.17
measures)
show
good
cross-cohort
agreement
(mean
spatial
correlation
r
0.57,
SD
0.18).
Then,
address
(2),
bring
together
existing
-
derive
new
cortical
maps
33
characteristics
multiple
modalities
(including
neurotransmitter
receptor
densities,
gene
expression,
functional
connectivity,
metabolism,
cytoarchitectural
similarity).
discover
that
these
profiles
spatially
covary
along
four
major
dimensions
organisation
(accounting
for
65.9%
variance)
denote
aspects
scaffolding
underpin
patterning
MRI-cognitive
observe
(significant
|r|
0.21
0.56).
Alongside
analyses,
make
openly
accessible,
provide
a
compendium
cortex-wide
within-region
correlations
among
general
specific
facets
brain
higher
order
functioning,
hope
will
serve
as
framework
analysing
other
behaviour-brain
MRI
associations.
Language: Английский
Genome-wide methylome-based molecular pathologies associated with depression and suicide
Yogesh Dwivedi,
No information about this author
Bhaskar Roy,
No information about this author
Praveen Kumar Korla
No information about this author
et al.
Neuropsychopharmacology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 7, 2024
Abstract
Major
depressive
disorder
(MDD)
is
a
debilitating
disorder.
Suicide
attempts
are
5-times
higher
in
MDD
patients
than
the
general
population.
Interestingly,
not
all
develop
suicidal
thoughts
or
complete
suicide.
Thus,
it
important
to
study
risk
factors
that
can
distinguish
suicidality
among
patients.
The
present
examined
if
DNA
methylation
changes
behavior
depressed
subjects.
Genome-wide
was
dorsolateral
prefrontal
cortex
of
suicide
(MDD+S;
n
=
15),
non-suicide
(MDD−S;
17),
and
nonpsychiatric
control
(C;
16)
subjects
using
850
K
Infinium
Methylation
EPIC
BeadChip.
significantly
differentially
methylated
genes
were
used
determine
functional
enrichment
for
ontological
clustering
pathway
analysis.
Based
on
number
CpG
content
their
relative
distribution
from
specific
landmark
regions
genes,
32,958
sites
identified
across
12,574
C
vs.
MDD+/−S
subjects,
30,852
12,019
MDD−S,
41,648
13,941
MDD+S,
49,848
15,015
MDD−S
MDD+S
groups.
A
comparison
showed
33,129
unique
5451
group
compared
group.
Functional
analysis
suggested
oxytocin,
GABA,
VGFA,
TNFA,
mTOR
pathways
associated
with
Altogether,
our
data
show
distinct
pattern
methylation,
genomic
sites,
gene
enrichment,
Language: Английский