Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 3, 2024
Abstract
Although
numerous
neuroimaging
studies
have
shown
neural
alterations
in
individuals
with
obsessive-compulsive
disorder
(OCD),
a
psychiatric
characterised
by
intrusive
cognitions
and
repetitive
behaviours,
the
molecular
mechanisms
linking
brain
structural
changes
gene
expression
remain
poorly
understood.
By
combining
Allen
Human
Brain
Atlas
dataset
data
from
Meta-Analysis
(ENIGMA)
consortium
independent
cohorts,
this
study
performed
partial
least
squares
regression
enrichment
analysis
to
probe
correlation
between
transcription
cortical
thickness
variation
adults
OCD.
The
map
of
case–control
differences
was
spatially
correlated
weighted
combination
genes
enriched
for
neurobiologically
relevant
ontology
terms,
preferentially
expressed
across
different
cell
types
layers.
These
were
specifically
tissue,
spanning
nearly
all
developmental
stages.
Protein-protein
interaction
revealed
that
these
coded
network
proteins
encompassing
several
highly
interactive
hubs.
findings
bridge
gap
structure
transcriptome
OCD,
fostering
an
integrative
understanding
potential
biological
mechanisms.
Acta Neuropathologica,
Journal Year:
2023,
Volume and Issue:
146(5), P. 663 - 683
Published: Sept. 1, 2023
Abstract
Microglia
are
the
brain’s
resident
macrophages,
which
guide
various
developmental
processes
crucial
for
brain
maturation,
activity,
and
plasticity.
Microglial
progenitors
enter
telencephalic
wall
by
4th
postconceptional
week
colonise
fetal
in
a
manner
that
spatiotemporally
tracks
key
neurodevelopmental
humans.
However,
much
of
what
we
know
about
how
microglia
shape
neurodevelopment
comes
from
rodent
studies.
Multiple
differences
exist
between
human
warranting
further
focus
on
condition,
particularly
as
emerging
critically
involved
pathological
signature
cognitive
disorders.
In
this
article,
review
evidence
supporting
microglial
involvement
basic
focusing
species.
We
next
concur
neuropathological
demonstrating
whether
contribute
to
aetiology
two
disorders:
autism
spectrum
conditions
schizophrenia.
Next,
highlight
recent
technologies
have
revolutionised
our
understanding
biology
with
these
tools
can
help
us
elucidate
at
unprecedented
resolution
links
conclude
reviewing
current
treatment
approaches
shown
most
promise
towards
targeting
disorders
suggest
novel
avenues
future
consideration.
npj Genomic Medicine,
Journal Year:
2023,
Volume and Issue:
8(1)
Published: Nov. 4, 2023
Epidemiological
studies
suggest
that
individuals
with
neurodevelopmental
disorders
(NDDs)
are
more
prone
to
develop
certain
types
of
cancer.
Notably,
however,
the
case
statistics
can
be
impacted
by
late
discovery
cancer
in
afflicted
NDDs,
such
as
intellectual
disorders,
autism,
and
schizophrenia,
which
may
bias
numbers.
As
NDD-associated
mutations,
most
cases,
they
germline
while
mutations
sporadic,
emerging
during
life.
However,
somatic
mosaicism
spur
cancer-related
germline.
NDDs
share
proteins,
pathways,
mutations.
Here
we
ask
(i)
exactly
features
share,
(ii)
how,
despite
their
commonalities,
differ
clinical
outcomes.
To
tackle
these
questions,
employed
a
statistical
framework
followed
network
analysis.
Our
thorough
exploration
reconstructed
disease-specific
networks,
transcriptome
levels
profiles
autism
spectrum
disorder
(ASD)
cancers,
point
signaling
strength
key
factor:
strong
promotes
cell
proliferation
cancer,
weaker
(moderate)
impacts
differentiation
ASD.
Thus,
strength,
not
activating
decide
outcome.
Frontiers in Cell and Developmental Biology,
Journal Year:
2024,
Volume and Issue:
12
Published: July 2, 2024
The
connection
and
causality
between
cancer
neurodevelopmental
disorders
have
been
puzzling.
How
can
the
same
cellular
pathways,
proteins,
mutations
lead
to
pathologies
with
vastly
different
clinical
presentations?
And
why
do
individuals
disorders,
such
as
autism
schizophrenia,
face
higher
chances
of
emerging
throughout
their
lifetime?
Our
broad
review
emphasizes
multi-scale
aspect
this
type
reasoning.
As
these
examples
demonstrate,
rather
than
focusing
on
a
specific
organ
system
or
disease,
we
aim
at
new
understanding
that
be
gained.
Within
framework,
our
calls
attention
computational
strategies
which
powerful
in
discovering
connections,
causalities,
predicting
outcomes,
are
vital
for
drug
discovery.
Thus,
centering
features,
draw
rapidly
increasing
data
molecular
level,
including
mutations,
isoforms,
three-dimensional
structures,
expression
levels
respective
disease-associated
genes.
Their
integrated
analysis,
together
chromatin
states,
delineate
how,
despite
being
connected,
differ,
how
symptoms.
Here,
seek
uncover
cancer,
pediatric
tumors,
tantalizing
questions
raises.
Journal of Neuroendocrinology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 9, 2025
Abstract
The
placenta
is
a
fetal
endocrine
organ
that
secretes
many
neuroactive
factors,
including
steroids,
play
critical
roles
in
brain
development.
study
of
the
placenta‐brain
axis
and
links
between
placental
function
development
represents
an
emerging
research
area
dubbed
“neuroplacentology.”
drives
circulating
steroids
to
very
high
levels
during
gestation.
Recent
studies
have
highlighted
role
shaping
specific
structures
behaviors.
This
review
uses
cross‐species
framework
discuss
genomic
in‐utero
environmental
changes,
conditions
alter
steroidogenesis,
leading
changes
early
developmental
trajectories
relevant
for
psychiatric
such
as
autism,
sex‐linked
manner.
Frontiers in Artificial Intelligence,
Journal Year:
2025,
Volume and Issue:
8
Published: Jan. 20, 2025
Background
and
objective
Very
preterm
infants
are
highly
susceptible
to
Neurodevelopmental
Impairments
(NDIs),
including
cognitive,
motor,
language
deficits.
This
paper
presents
a
systematic
review
of
the
application
Machine
Learning
(ML)
techniques
predict
NDIs
in
premature
infants.
Methods
comparative
analysis
existing
studies
from
January
2018
December
2023,
highlighting
their
strengths,
limitations,
future
research
directions.
Results
We
identified
26
that
fulfilled
inclusion
criteria.
In
addition,
we
explore
potential
ML
algorithms
discuss
commonly
used
data
sources,
clinical
neuroimaging
data.
Furthermore,
omics
as
contemporary
approach
employed,
other
diagnostic
contexts
is
proposed.
Conclusions
limitations
emphasized
significance
employing
multimodal
models
explored
various
alternatives
address
reviewed
studies.
The
insights
derived
this
guide
researchers
clinicians
toward
improving
early
identification
intervention
strategies
for
vulnerable
population.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(4), P. e0319418 - e0319418
Published: April 1, 2025
A
growing
body
of
clinical
literature
has
described
neurodevelopmental
delays
in
infants
with
chronic
prenatal
opioid
exposure
and
withdrawal.
Despite
this,
the
mechanism
how
opioids
impact
developing
brain
remains
unknown.
Here,
we
developed
an
vitro
model
morphine
withdrawal
using
healthy
human
induced
pluripotent
stem
cell
(iPSC)-derived
midbrain
neural
progenitors
monolayer.
To
optimize
our
model,
identified
that
a
longer
induction
regional
patterning
period
increases
expression
canonical
receptors
mu
kappa
compared
to
shorter
protocol
(
OPRM1
,
two-tailed
t-test,
p
=
0.004;
OPRK1
0.0003).
Next,
showed
derived
from
iPSC
also
have
scant
toll-like
receptor
4
(TLR4)
expression,
key
player
neonatal
syndrome
pathophysiology.
During
withdrawal,
differentiating
experience
cyclic
adenosine
monophosphate
overshoot
exposed
vehicle
0.0496)
conditions
0.0136,
1-way
ANOVA).
Finally,
alters
proportions
differentiated
progenitor
fates
(2-way
ANOVA,
F
16.05,
<
0.0001).
Chronic
increased
nestin
positive
0.0094),
decreased
neuronal
nuclear
antigen
neurons
(NEUN)
0.0047)
those
vehicle.
Morphine
glial
fibrillary
acidic
protein
cells
astrocytic
lineage
0.044),
NEUN-positive
0.0001)
only.
Applications
this
paradigm
include
mechanistic
studies
underscoring
fate
commitments
early
neurodevelopment
during