Genetic Analysis of Retinal Cell Types in Neuropsychiatric Disorders
JAMA Psychiatry,
Journal Year:
2025,
Volume and Issue:
82(3), P. 285 - 285
Published: Jan. 8, 2025
Importance
As
an
accessible
part
of
the
central
nervous
system,
retina
provides
a
unique
window
to
study
pathophysiological
mechanisms
brain
disorders
in
humans.
Imaging
and
electrophysiological
studies
have
revealed
retinal
alterations
across
several
neuropsychiatric
neurological
disorders,
but
it
remains
largely
unclear
which
specific
cell
types
biological
are
involved.
Objective
To
determine
whether
affected
by
genomic
risk
for
explore
through
converges
these
types.
Design,
Setting,
Participants
This
genetic
association
combined
findings
from
genome-wide
schizophrenia,
bipolar
disorder,
major
depressive
multiple
sclerosis,
Parkinson
disease,
Alzheimer
stroke
with
single-cell
transcriptomic
datasets
humans,
macaques,
mice.
identify
susceptible
types,
Multi-Marker
Analysis
Genomic
Annotation
(MAGMA)
cell-type
enrichment
analyses
were
applied
subsequent
pathway
performed.
The
cellular
top
hits
translated
structural
level
using
optical
coherence
tomography
(acquired
between
2009
2010)
genotyping
data
large
population-based
UK
Biobank
cohort
study.
Data
analysis
was
conducted
2022
2024.
Main
Outcomes
Measures
Cell
type–specific
loading
disorder
traits
gene
expression
profiles
cells.
Results
Expression
amacrine
cells
(interneurons
within
retina)
robustly
enriched
schizophrenia
mammalian
species
different
developmental
stages.
primarily
driven
genes
involved
synapse
biology.
Moreover,
immune
populations
sclerosis
risk.
No
consistent
associations
found
or
stroke.
On
level,
higher
polygenic
associated
thinning
ganglion
inner
plexiform
layer,
contains
dendrites
synaptic
connections
(B,
−0.09;
95%
CI,
−0.16
−0.03;
P
=
.007;
n
36
349;
mean
[SD]
age,
57.50
[8.00]
years;
19
859
female
[54.63%]).
Higher
increased
thickness
nerve
fiber
layer
0.06;
0.02
0.10;
371;
57.51
843
[54.56%]).
Conclusions
Relevance
novel
insights
into
underpinnings
highlights
as
potential
proxy
pathology
schizophrenia.
Language: Английский
Brain Age Gap Reduction Following Physical Exercise Mirrors Negative Symptom Improvement in Schizophrenia Spectrum Disorders
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 8, 2025
Abstract
Schizophrenia
spectrum
disorders
(SSD)
are
associated
with
accelerated
brain
aging,
reflected
in
an
increased
age
gap.
This
gap
serves
as
a
biomarker,
indicating
poorer
health,
cognitive
deficits,
and
greater
severity
specific
symptom
domains.
Physical
exercise
holds
promise
adjunct
therapy
to
mitigate
these
deficits
by
potentially
promoting
recovery.
However,
the
extent
of
overall
improvements
health
following
exercise,
along
their
predictors
relationships
clusters,
yet
be
determined.
study
examined
metric
quantitative
indicator
recovery
response
physical
exercise.
To
achieve
this,
we
aggregated
data
from
two
randomized
controlled
trials,
analyzing
baseline
(
n
=
134)
3-
or
6-month
post-exercise
46)
individuals
SSD.
Our
findings
revealed
that
patients
higher
BMI
demonstrated
recovery,
evidenced
reduced
post-exercise.
Furthermore,
changes
were
negative
symptoms
cognition,
suggesting
reductions
brain-predicted
may
reflect
relief,
particularly
domains
beyond
positive
symptoms.
These
results
underscore
importance
support
using
surrogate
marker
for
tracking
clinically
relevant
highlight
need
stratified
interventions
combined
lifestyle
modifications
enhance
outcomes
Glossary
(SSD):
Mental
conditions
characterized
psychosis,
alteration
perception
reality.
Cardinal
include
hallucinations
(sensory
not
mirroring
reality)
delusions
(persistent
beliefs
rooted
reality).
Positive
symptoms:
A
cluster
SSD
including
complaints
distinctively
present
patiens:
hallucinations,
delusions,
thought
disorder
(disorganized
thinking
speech).
Negative
absent
loss
interest,
motivation,
enjoyment,
social
interactions,
flattened
affect.
Cognitive
Another
attention,
executive
function,
memory.
Biomarker:
Objective,
quantifiable
indicators
biological
states
processes
used
predict,
diagnose,
treat
illnesses.
Brain
gap:
biomarker
aging.
Brain-predicted
is
predicted
machine
learning
algorithm
based
on
imaging
data.
Subtracting
chronological
gap,
where
values
indicate
aging
brain.
Neuroplasticity:
The
brain’s
ability
reorganize
itself
through
new
synaptic
connections
learning,
treatment,
injury.
Randomized
Controlled
Trials
(RCTs):
design
randomly
assigns
participants
experimental
group
control
test
efficacy
intervention.
Language: Английский
Investigating the association of the plasma lipidomic profile with cognitive performance and genetic risk in the PsyCourse study
Translational Psychiatry,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 28, 2025
Abstract
Although
lipid
biology
may
play
a
key
role
in
the
pathophysiology
of
mental
health
disorders
such
as
schizophrenia
(SCZ)
and
bipolar
disorder
(BD),
nature
this
interplay
how
it
could
shape
phenotypic
presentation,
including
cognitive
performance
is
still
incompletely
understood.
To
address
question,
we
analyzed
association
plasma
level
different
species
with
transdiagnostic
PsyCourse
Study.
Plasma
lipidomic
profiles
623
individuals
(188
SCZ,
243
BD,
192
healthy
controls)
belonging
to
Study
were
assessed
using
liquid
chromatography
untargeted
mass
spectrometry.
The
between
364
annotated
from
16
classes
six
tests
was
evaluated.
Likewise,
polygenic
risk
scores
(PRS)
for
executive
function
(EF),
educational
attainment
(EA)
levels
also
investigated.
In
regression
analysis,
three
phosphatidylethanolamine
plasmalogen
one
ceramide
class
showed
significant
negative
Digit-Symbol
test
scores.
Lipid
class-based
enrichment
analysis
LipidR
replicated
significance
phosphatidylethanolamines
test,
which
evaluates
processing
speed
tasks.
Polygenic
load
EF,
or
EA
not
associated
levels.
Our
findings
suggest
link
lipids
independent
disorders.
Still,
replication
warranted
better
understand
if
represent
an
actionable
pharmacologic
target
tackle
dysfunction,
important
unmet
clinical
need
that
affects
long-term
functional
outcomes
severe
Language: Английский
The Retinal Age Gap as a Marker of Accelerated Aging in the Early Course of Schizophrenia
Schizophrenia Bulletin,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 14, 2025
Abstract
Background
and
Hypothesis
Given
the
available
findings
confirming
accelerated
brain
aging
in
schizophrenia
(SZ),
we
conducted
a
study
aimed
at
verifying
whether
quantitative
retinal
morphological
data
enable
age
prediction
patients
present
with
positive
gap
(RAG).
Study
Design
Two
samples
of
controls
were
enrolled:
one
included
59
SZ
60
controls,
all
whom
underwent
optical
coherence
tomography
(OCT)
enabling
measurement
72
variables.
A
second
sample
65
70
was
then
combined
first
sample,
to
generate
database
where
each
subject
represented
by
28
Four
different
machine
learning
(ML)
algorithms
used
for
based
on
z-standardized
OCT
data.
The
associations
between
RAG,
demographic,
clinical
also
analyzed.
Results
Patients
from
both
had
significantly
higher
RAG
ranging
5.88
7.44
years
depending
specific
sample.
Predictions
larger
group
but
fewer
variables
exhibited
relative
error.
All
ML
generated
similar
outcomes
regarding
age.
correlated
dose
antipsychotic
medication
severity
symptoms.
Correlations
chronological
showed
that
highest
younger
patients,
about
45
years,
it
decreased.
Conclusions
ML-based
results
corroborated
its
pharmacological
treatment
syndrome
severity.
finding
is
novel
requires
replication.
Language: Английский
Detecting transdiagnostic retinal deviations in mental disorders through normative modeling
Foivos Georgiadis,
No information about this author
Nils Kallen,
No information about this author
Giacomo Cecere
No information about this author
et al.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 13, 2024
Abstract
Objective
Several
studies
have
found
thinner
retinal
tissue
in
mental
disorders
compared
to
healthy
controls.
Because
the
retina
is
part
of
human
brain,
this
suggests
that
informative
brain
structure
readouts
can
be
obtained
efficiently
through
imaging.
Instead
focusing
on
group-level
case-control
differences,
we
used
normative
modeling
estimate
age-related
decline
(and
its
expected
variation)
and
it
seen
schizophrenia
(SZ),
bipolar
disorder
(BD),
major
depression
(MDD).
We
hypothesized
accelerated
controls,
with
SZ
being
most
affected,
followed
by
BD,
then
MDD.
Methods
Using
UK
Biobank
data,
estimated
controls
(HC,
N
=
56,545)
for
total
macular
thickness
(including
coronal
subfields)
two
sublayers
(retinal
nerve
fiber
layer;
RNFL;
ganglion
cell-inner
plexiform
GC-IPL).
(N
171),
BD
256),
MDD
102)
HC.
Results
For
HC,
pattern
thickness,
RNFL,
GC-IPL
was
curve-like
rather
than
linear
more
pronounced
males
females.
disorders,
decline-pattern
generally
faster,
driven
disorder-specific
subfields.
There
also
an
enrichment
individuals
extremely
low
(infranormal)
values.
These
results
were
confirmed
robustness
checks
ruled
out
unspecific
confounders.
Conclusion
findings
suggest
particularly
SZ,
involve
neurodegenerative
detected
retina.
Language: Английский
Contrasting genetic burden for bipolar disorder: Early onset versus late onset in an older adult bipolar disorder sample
European Neuropsychopharmacology,
Journal Year:
2024,
Volume and Issue:
92, P. 29 - 37
Published: Dec. 22, 2024
Language: Английский
Genetic analysis of retinal cell types reveals synaptic pathology in schizophrenia
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 12, 2024
Importance:
As
an
accessible
part
of
the
central
nervous
system,
retina
provides
a
unique
window
to
study
pathophysiological
mechanisms
brain
disorders
in
humans.
Imaging
and
electrophysiological
studies
have
revealed
retinal
alterations
across
several
neuropsychiatric
neurological
disorders.
However,
it
remains
largely
unclear
whether
primary
disease
within
contribute
observed
which
specific
cell
types
biological
are
involved.
Objective:
To
determine
affected
by
genomic
risk
for
explore
through
converges
these
types.
Design,
Setting,
Participants:
In
this
study,
we
combined
findings
from
genome-wide
association
schizophrenia,
bipolar
disorder,
major
depressive
multiple
sclerosis,
Parkinson
disease,
Alzheimer
stroke
with
single-cell
transcriptomic
data
sets
humans,
macaques,
mice.
identify
susceptible
types,
applied
MAGMA
type
enrichment
analyses
performed
subsequent
pathway
analyses.
Furthermore,
translated
cellular
top
hit
structural
level
using
optical
coherence
tomography
genotyping
large
population-based
UK
Biobank
cohort
(n
=
36,349).
Main
Outcomes
Measures:
Cell
type-specific
genetic
loading
disorder
traits
gene
expression
profiles
cells.
Results:
Amacrine
cells
(interneurons
retina)
were
robustly
enriched
schizophrenia
mammalian
species
different
developmental
stages.
This
was
primarily
driven
genes
involved
synapse
biology.
On
level,
higher
polygenic
associated
thinning
ganglion
cell-inner
plexiform
layer,
contains
dendrites
synaptic
connections
amacrine
Moreover,
immune
populations
sclerosis
risk.
No
consistent
associations
found
or
stroke.
Conclusions
Relevance:
novel
insights
into
underpinnings
highlights
as
potential
proxy
pathology
schizophrenia.
Language: Английский
Investigation of choroid plexus variability in schizophrenia-spectrum disorders—insights from a multimodal study
Schizophrenia,
Journal Year:
2024,
Volume and Issue:
10(1)
Published: Dec. 20, 2024
Previous
studies
have
suggested
that
choroid
plexus
(ChP)
enlargement
occurs
in
individuals
with
schizophrenia-spectrum
disorders
(SSD)
and
is
associated
peripheral
inflammation.
However,
it
unclear
whether
such
an
delineates
a
biologically
defined
subgroup
of
SSD.
Moreover,
remains
elusive
how
ChP
linked
to
brain
regions
inflammation
A
cross-sectional
cohort
132
SSD
107
age-matched
healthy
controls
(HC)
underwent
cerebral
magnetic
resonance
imaging
(MRI)
clinical
phenotyping
investigate
the
regions.
case-control
comparison
volumes
was
conducted,
structural
variance
analyzed
by
employing
variability
ratio
(VR).
K-means
clustering
analysis
used
identify
subgroups
distinct
patterns
ventricular
system,
clusters
were
compared
terms
demographic,
clinical,
immunological
measures.
The
relationship
between
regions,
previously
inflammation,
investigated.
We
did
not
find
significant
HC
but
detected
increased
VR
lateral
ventricle
volumes.
Based
on
these
we
identified
3
differences
cognitive
measures
possibly
inflammatory
markers.
Larger
volume
higher
hippocampus,
putamen,
thalamus
HC.
This
study
suggests
variability,
mean
volume,
SSD,
Language: Английский
Multimodal Retinal Imaging Findings in Schizophrenia Spectrum Disorders
Biological Psychiatry,
Journal Year:
2024,
Volume and Issue:
96(10), P. 769 - 771
Published: Oct. 14, 2024
Language: Английский
Retinal Optical Coherence Tomography in Bipolar Disorder – A Scoping Review
Elena Schönthaler,
No information about this author
Haleh Aminfar,
No information about this author
Nina Dalkner
No information about this author
et al.
Neuropsychobiology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 23
Published: Dec. 24, 2024
Background:
Bipolar
disorder
(BD)
is
a
psychiatric
condition
with
significant
health
implications
due
to
its
comorbidities,
premature
mortality,
and
functional
impairments.
Despite
extensive
research
on
treatment
rehabilitation,
gaps
remain
in
diagnosis
monitoring.
Therefore,
there
need
for
biomarkers
identify
individuals
at
risk
disease
progression
or
excacerbation.
Developmentally
part
of
the
central
nervous
system,
retina
represents
possible
marker
observing
BD-related
structural
alterations
brain.
Summary:
The
retina's
structure
can
be
assessed
through
optical
coherence
tomography
(OCT),
non-invasive
cost-effective
method.
Retinal
alterations,
particularly
retinal
nerve
fiber
layer
(RNFL)
ganglion
cell
(GCL),
have
been
associated
neurodegenerative
disorders
cross-sectional
OCT
studies.
This
scoping
review
discusses
findings
changes
BD
as
well
their
association
characteristics
like
symptom
severity
illness
duration,
highlights
potential
diagnostic
tool
treatment.
Key
Findings:
majority
studies
indicate
RNFL
GCL
thinning
patients,
which
was
found
correlate
clinical
some
Although
data
currently
limited,
possibility
that
could
facilitate
monitoring
BD,
but
more
needs
conducted
observe
relationship
between
these
parameters
BD.
Moreover,
other
factors
(e.g.,
treatment,
metabolic
inflammatory
conditions)
may
impact
changes,
longitudinal
clarify
relationships.
Further
should
focus
replicating
current
findings,
understanding
role
inflammation,
differentiating
regions
affected
by
Language: Английский