medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 16, 2023
Abstract
Common
diseases
result
from
a
mix
of
genetic
and
environmental
factors,
often
involving
inflammation.
Complex
traits
like
diabetes
psychiatric
disorders
are
polygenic,
influenced
by
many
variants.
The
omnigenic
model
suggests
all
expressed
genes
can
impact
disease-related
genes.
This
study
examines
blood
transcriptomic
variations
in
neurological
to
understand
mRNA
expression
profiles
address
field
discrepancies.
Animal
models
explored
for
similar
gene
expressions.
extensively
searched
GEO
DataSets
ArrayExpress
databases,
identifying
associated
with
neuropsychiatric
disorders.
From
GEO,
10,359
samples
were
found,
30
series
(1,897
samples)
the
qualitative
synthesis,
revealing
1,364
differentially
Schizophrenia,
134
Bipolar
Disorder,
11
Autism
Spectrum
2,784
Alzheimer’s
Disorder.
Comparisons
GWAS
studies
unveiled
overlaps,
81
SCZ,
two
BD,
135
ALZ.
Notably,
441
shared
between
ALZ
SCZ.
Enrichment
analyses
indicated
associations
signalling
pathways.
In
animal
models,
2,360
identified,
175
resulting
meta-analysis
focusing
on
hippocampus
tissue,
14
consistently
Four
overlapped
human
data
(ALOX5AP,
P2RY13,
RGS10,
SH3GL1).
These
findings
contribute
understanding
unique
molecular
signatures
across
disorders,
bridging
insights
models.
efficiently
identifies
tests
consistent
transcriptomes.
Compared
transcriptome-wide
or
proteome-wide
association
studies,
this
approach
transcripts
directly
individuals
offering
real-world
predictive
capability.
Shared
suggest
common
pathways,
emphasizing
need
interdisciplinary
approaches
treating
Limitations
include
sample
characterization
peripheral
marker
focus.
Further
investigations,
including
functional
assays,
crucial
validation
extending
these
findings.
Biomedicines,
Journal Year:
2025,
Volume and Issue:
13(1), P. 167 - 167
Published: Jan. 12, 2025
Background/Objectives:
The
dual
forces
of
structured
inquiry
and
serendipitous
discovery
have
long
shaped
neuropsychiatric
research,
with
groundbreaking
treatments
such
as
lithium
ketamine
resulting
from
unexpected
discoveries.
However,
relying
on
chance
is
becoming
increasingly
insufficient
to
address
the
rising
prevalence
mental
health
disorders
like
depression
schizophrenia,
which
necessitate
precise,
innovative
approaches.
Emerging
technologies
artificial
intelligence,
induced
pluripotent
stem
cells,
multi-omics
potential
transform
this
field
by
allowing
for
predictive,
patient-specific
interventions.
Despite
these
advancements,
traditional
methodologies
animal
models
single-variable
analyses
continue
be
used,
frequently
failing
capture
complexities
human
conditions.
Summary:
This
review
critically
evaluates
transition
serendipity
precision-based
in
research.
It
focuses
key
innovations
dynamic
systems
modeling
network-based
approaches
that
use
genetic,
molecular,
environmental
data
identify
new
therapeutic
targets.
Furthermore,
it
emphasizes
importance
interdisciplinary
collaboration
human-specific
overcoming
limitations
Conclusions:
We
highlight
precision
psychiatry’s
transformative
revolutionizing
care.
paradigm
shift,
combines
cutting-edge
systematic
frameworks,
promises
increased
diagnostic
accuracy,
reproducibility,
efficiency,
paving
way
tailored
better
patient
outcomes
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 15, 2025
Abstract
Psychiatric
disorders
display
high
levels
of
comorbidity
and
genetic
overlap
1,2
.
Genomic
methods
have
shown
that
even
for
schizophrenia
bipolar
disorder,
two
long-thought
to
be
etiologically
distinct
3
,
the
majority
signal
is
shared
4
Furthermore,
recent
cross-disorder
analyses
uncovered
over
a
hundred
pleiotropic
loci
across
eight
5
However,
full
scope
disorder-specific
basis
psychopathology
remains
largely
uncharted.
Here,
we
address
this
gap
by
triangulating
suite
cutting-edge
statistical
functional
genomic
applied
14
childhood-
adult-onset
psychiatric
(1,056,201
cases).
Our
identify
characterize
five
underlying
factors
6
explain
variance
individual
(∼66%
on
average)
are
associated
with
268
loci.
We
observed
particularly
polygenic
7
local
correlation
8
very
few
9
defined
by:
(
i
)
disorder
(“SB
factor”),
ii
major
depression,
PTSD,
anxiety
(“internalizing
factor”).
At
level,
multiple
10–12
which
demonstrated
SB
factor
was
substantially
enriched
in
genes
expressed
excitatory
neurons,
whereas
internalizing
oligodendrocyte
biology.
By
comparison,
all
broad
biological
processes
(e.g.,
transcriptional
regulation).
These
results
indicate
increasing
differentiation
function
at
different
risk,
from
quite
general
vulnerability
more
specific
pathways
subsets
disorders.
observations
may
inform
neurobiologically
valid
nosology
implicate
novel
targets
therapeutic
developments
designed
treat
commonly
occurring
comorbid
presentations.
Frontiers in Neurology,
Journal Year:
2025,
Volume and Issue:
16
Published: Jan. 27, 2025
Background
Posttraumatic
stress
disorder
(PTSD)
commonly
cooccurs
with
traumatic
brain
injury
(TBI)
in
military
populations
and
is
a
significant
predictor
of
poor
long-term
outcomes;
however,
it
unclear
to
what
extent
specific
biological
variables
are
associated
comorbidity.
This
PROSPERO-registered
systematic
review
evaluates
the
current
body
literature
on
genetic
peripheral
biomarkers
comorbid
TBI
PTSD.
Methods
Searches
were
conducted
four
databases
(PubMed,
PsycInfo,
PTSDPubs,
Scopus).
We
included
published
studies
examining
differences
among
civilian,
military,
veteran
participants
both
PTSD
compared
those
alone
as
well
as,
some
cases,
healthy
controls.
Data
extracted
from
evidence
quality
was
assessed.
Results
Our
final
analysis
16
studies,
majority
which
based
data
active
duty
participants.
The
results
suggest
that
multiple
gene
variants
likely
contribute
cumulative
risk
TBI.
An
elevated
circulating
level
pro-inflammatory
cytokine
IL-6
most
consistently
replicated
blood-based
indicator
illness,
mTBI
alone.
Conclusion
Several
protein
markers
cellular
inflammation
appear
be
promising
indicators
chronic
pathology
Additional
research
needed
determine
how
such
factors
indicate,
predict,
comorbidity
they
represent
viable
targets
for
development
novel
diagnostic
tools
therapeutic
interventions.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 16, 2025
Abstract
Psychiatry
is
undergoing
a
shift
toward
precision
medicine,
demanding
personalized
approaches
that
capture
the
complexity
of
cognition
and
behavior.
Here,
we
introduce
novel
referential
four
robust,
replicable,
generalizable
cognitive
behavioral
profiles.
These
were
derived
from
most
prominent
pediatric
cohort
(n=10,843)
validated
in
two
independent
cohorts
(n=195
n=271).
We
demonstrate
profiles’
longitudinal
stability
consistency
with
clinical
diagnoses
while
exposing
critical
discrepancies
across
parent-reported,
youth-reported,
expert-derived
diagnoses.
Beyond
validation,
showcase
real-world
utility
our
approach
by
linking
profiles
to
environmental
factors,
revealing
associations
between
parental
influences
youths’
Our
fuzzy
profiling
framework
moves
beyond
discrete
classification,
offering
powerful
tool
refine
psychiatric
evaluation
intervention.
provide
an
open-source
framework,
enabling
researchers
clinicians
fast-track
implementation
foster
data-driven,
domain-based
diagnosis.
findings
advocate
for
broadening
scope
assessment.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Nov. 8, 2023
Abstract
There
is
still
a
lot
of
ambiguity
about
the
link
between
physical
activity
(PA),
sedentary
behaviors
(SBs)
and
osteoarthritis
(OA).
This
study
aimed
to
investigate
causal
relationship
PA/SBs
on
risk
OA.
A
univariate
multivariate
Mendelian
randomization
(MR)
analysis
was
conducted
effect
five
PA
phenotypes
three
SB
overall
OA,
knee
hip
total
arthroplasty,
arthroplasty
(TKA).
MR
methods
used
were
inverse-variance
weighting,
MR-Egger
regressions,
weighted
median.
Sensitivity
examined
horizontal
pleiotropy
heterogeneity,
confirmed
reliability
results.
After
false
discovery
rate,
light
do-it-yourself
(DIY)
activities
decreased
for
OA
(OR:
0.32,
95%
CI
0.16–0.65),
0.26,
0.12–0.51).
Resulting
in
walking
pleasure
0.87,
0.70–1.04)
0.14,
0.06–0.32)
also
observed.
Television
viewing,
however,
significantly
increased
TKA.
MVMR
findings
revealed
independent
impacts
watching
television
taking
into
account
BMI,
smoking,
education.
suggested
that
DIY
beneficial
preventing
TKA
with
prolonged
watching.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 29, 2023
Abstract
Impulsivity
is
a
complex
psychological
construct
that
represents
core
feature
of
many
psychiatric
and
neurological
conditions.
Here,
we
used
multivariate
methods
to
formally
model
the
genetic
architecture
impulsivity
in
humans,
advancing
genomic
discovery
revealing
pervasive
pleiotropy
largely
counters
theories
as
unitary
construct.
We
identified
18
loci
93
genes
with
diverse
effects
GWAS
TWAS
analyses,
respectively,
including
hotspot
at
17q21.31
harbors
involved
neurodevelopmental
neurodegenerative
disorders.
Downstream
analyses
revealed
heterogeneous
signals
were
localized
specific
biological
correlates,
expression
brain
tissue
during
fetal
development
cortical
alterations
inferior
frontal
gyrus.
Polygenic
score
suggested
liability
for
different
forms
may
differentiate
across
development,
operating
via
broad
pathways
early
life
but
affecting
outcomes
by
adulthood.
Collectively,
our
study
generates
new
insights
into
pleiotropic
impulsivity,
which
provides
more
comprehensive
understanding
its
multi-faceted
biology.