bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 25, 2023
Abstract
Growing
up
in
a
high
poverty
neighborhood
is
associated
with
elevated
risk
for
academic
challenges
and
health
problems.
Here,
we
take
data-driven
approach
to
exploring
how
measures
of
children’s
environments
relate
the
development
their
brain
structure
function
community
sample
children
between
ages
4
10
years.
We
constructed
exposomes
including
family
socioeconomic
status,
exposure
adversity,
geocoded
crime,
environmental
toxins.
connected
exposome
two
structural
(cortical
thickness
surface
area,
n
=
170)
functional
(participation
coefficient
clustering
coefficient,
130).
found
dense
connections
within
layers
sparse
layers.
Lower
income
was
thinner
visual
cortex,
consistent
theory
that
accelerated
detectable
early-developing
regions.
Greater
incidence
blood
lead
levels
greater
segregation
default
mode
network,
evidence
toxins
are
deposited
into
along
midline.
Our
study
demonstrates
utility
multilayer
network
analysis
bridge
neural
explanatory
better
understand
complexity
child
development.
Frontiers in Neurology,
Journal Year:
2024,
Volume and Issue:
14
Published: Jan. 15, 2024
An
interdisciplinary
fetal-neonatal
neurology
(FNN)
program
over
the
first
1,000
days
teaches
perspectives
of
neural
exposome
that
are
applicable
across
life
span.
This
curriculum
strengthens
neonatal
neurocritical
care,
pediatric,
and
adult
training
objectives.
Teaching
at
maternal-pediatric
hospital
centers
optimally
merges
reproductive,
pregnancy,
pediatric
approaches
to
healthcare.
Phenotype–genotype
expressions
health
or
disease
pathways
represent
a
dynamic
developmental
time.
The
science
uncertainty
applied
FNN
re-enforces
importance
shared
clinical
decisions
minimize
bias
reduce
cognitive
errors.
Trainees
select
mentoring
committee
participants
will
maximize
their
learning
experiences.
Standardized
questions
oral
presentations
monitor
educational
progress.
Master
doctoral
defense
preparation
competitive
research
funding
can
be
goals
for
specific
individuals.
principles
practice
offer
an
understanding
gene–environment
interactions
recognizes
effects
reproductive
on
maternal-placental-fetal
triad,
neonate,
child,
adult.
Pre-conception
prenatal
adversities
potentially
diminish
life-course
brain
health.
Endogenous
exogenous
toxic
stressor
interplay
(TSI)
alters
through
maladaptive
neuroplasticity.
Developmental
disorders
epilepsy
primarily
expressed
during
days.
Communicable
noncommunicable
illnesses
continue
interact
with
express
diverse
neurologic
lifespan,
particularly
critical/sensitive
time
periods
adolescence
senescence.
Anomalous
destructive
fetal
neuropathologic
lesions
change
this
developmental-aging
continuum.
integrated
placental,
neonatal,
childhood,
offers
perspective
exposome.
Exosome
promises
improved
monitoring
drug
delivery
starting
pregnancy.
origins
anticipate
diagnoses
interventions
benefit
successive
generations.
Addressing
care
disparities
in
Global
South
high-income
country
medical
deserts
require
constructive
dialogue
among
stakeholders
achieve
equity.
Population
policies
capital
strategy
reduces
global
burden
diseases
by
applying
practice.
integrative
approach
prolong
survival
quality
persons
lifespan
confronted
neurological
disorders.
Developmental Cognitive Neuroscience,
Journal Year:
2024,
Volume and Issue:
66, P. 101370 - 101370
Published: April 1, 2024
Childhood
environments
are
critical
in
shaping
cognitive
neurodevelopment.
With
the
increasing
availability
of
large-scale
neuroimaging
datasets
with
deep
phenotyping
childhood
environments,
we
can
now
build
upon
prior
studies
that
have
considered
relationships
between
one
or
a
handful
environmental
and
features
at
time.
Here,
characterize
combined
effects
hundreds
inter-connected
co-occurring
child's
environment
("exposome")
investigate
associations
each
unique,
multidimensional
pattern
functional
brain
network
organization
("functional
topography")
cognition.
We
apply
data-driven
computational
models
to
measure
exposome
define
personalized
networks
pre-registered
analyses.
Across
matched
discovery
(n=5,139,
48.5%
female)
replication
(n=5,137,
47.1%
samples
from
Adolescent
Brain
Cognitive
Development
study,
was
associated
current
(ages
9-10)
future
11-12)
Changes
were
also
changes
cognition
after
accounting
for
baseline
scores.
Cross-validated
ridge
regressions
revealed
is
reflected
topography
predict
performance
across
domains.
Importantly,
single
capturing
could
more
accurately
parsimoniously
than
wealth
data,
highlighting
importance
children's
complex,
JAMA Psychiatry,
Journal Year:
2024,
Volume and Issue:
81(10), P. 1020 - 1020
Published: July 17, 2024
Importance
Suicide
is
the
third-leading
cause
of
death
among
US
adolescents.
Environmental
and
lifestyle
factors
influence
suicidal
behavior
can
inform
risk
classification,
yet
quantifying
incorporating
them
in
assessment
presents
a
significant
challenge
for
reproducibility
clinical
translation.
Objective
To
quantify
aggregate
contribution
environmental
to
youth
suicide
attempt
classification.
Design,
Setting,
Participants
This
was
cohort
study
3
samples:
2
national
longitudinal
cohorts
from
UK
1
tertiary
pediatric
hospital.
An
exposome-wide
association
(ExWAS)
approach
used
identify
protective
compute
exposomic
scores.
Logistic
regression
models
were
applied
test
associations
model
fit
scores
with
attempts
independent
data.
Youth
Adolescent
Brain
Cognitive
Development
(ABCD)
study,
Millennium
Cohort
Study
(MCS),
Children’s
Hospital
Philadelphia
emergency
department
(CHOP-ED)
included
study.
Exposures
A
single-weighted
score
that
sums
environmental/lifestyle
factors.
Main
Outcome
Measure
Self-reported
attempt.
Results
total
40
364
this
analysis:
11
564
ABCD
(3
waves
assessment;
mean
[SD]
age,
12.0
[0.7]
years;
6034
male
[52.2%];
344
attempted
[3.0%];
1154
study),
9000
MCS
(mean
17.2
[0.3]
4593
female
[51.0%];
661
[7.3%];
2864
cohort),
19
800
CHOP-ED
15.3
[1.5]
12
937
[65.3%];
2051
[10.4%];
36
cohort).
In
discovery
subsample,
ExWAS
identified
99
exposures
significantly
associated
single
weighted
an
testing
subsample
(odds
ratio
[OR],
2.2;
95%
CI,
2.0-2.6;
P
<
.001)
explained
17.6%
variance
(based
on
pseudo-
R
)
over
above
by
sex,
race,
ethnicity
(2.8%)
family
history
(6.3%).
Findings
consistent
(explaining
22.6%
19.3%
attempt,
respectively)
despite
clinical,
demographic,
exposure
differences.
all
cohorts,
compared
at
median
quintile
score,
top
fifth
substantially
more
likely
have
made
(OR,
4.3;
2.6-7.2
study;
OR,
3.8;
2.7-5.3
cohort;
5.8;
4.7-7.1
Conclusions
Relevance
suggest
provided
generalizable
method
classification
be
diverse
samples
or
population
settings.
Psychological Medicine,
Journal Year:
2025,
Volume and Issue:
55
Published: Jan. 1, 2025
Abstract
Background
Dissecting
the
exposome
linked
to
mental
health
outcomes
can
help
identify
potentially
modifiable
targets
improve
well-being.
However,
multiplicity
of
exposures
and
complexity
phenotypes
pose
a
challenge
that
requires
data-driven
approaches.
Methods
Guided
by
our
previous
systematic
approach,
we
conducted
hypothesis-free
exposome-wide
analyses
factors
associated
with
7
psychiatric
diagnostic
domains
19
symptom
dimensions
in
157,298
participants
from
UK
Biobank
Mental
Health
Survey.
After
quality
control,
294
environmental,
lifestyle,
behavioral,
economic
variables
were
included.
An
Exposome-Wide
Association
Study
was
per
outcome
two
equally
split
datasets.
Variables
each
then
tested
multivariable
model.
Results
Across
all
dimensions,
top
three
childhood
adversities
traumatic
events.
Cannabis
use
common
disorders
(depressive,
anxiety,
psychotic,
bipolar
manic
disorders),
ORs
ranging
1.10
1.79
models.
Additionally,
differential
associations
identified
between
specific
outcomes—such
as
neurodevelopmental
disorders,
eating
self-harm
behaviors—and
exposures,
including
early
life
experiences
(being
adopted),
lifestyle
(time
spent
using
computers),
dietary
habits
(vegetarian
diet).
Conclusions
This
comprehensive
mapping
revealed
several
factors,
particularly
those
previously
well-studied
shared
across
phenotypes,
providing
further
support
for
transdiagnostic
pathoetiology.
Our
findings
also
showed
distinct
relations
might
exist.
Continued
research
through
multimodal
mechanistic
studies
guided
framework
is
required
better
inform
public
policies.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 18, 2025
Abstract
Persistent
distressing
psychotic-like
experiences
(PLE)
among
children
may
be
driven
by
genetics
and
neighborhood
environmental
exposures.
However,
the
gene-environment
interaction
to
persistent
PLE
is
unknown.
The
study
included
6,449
participants
from
Adolescent
Brain
Cognitive
Development
Study.
Genetic
risk
was
measured
a
multi-ancestry
schizophrenia
polygenic
score
(SCZ-PRS).
Multi-dimensional
neighborhood-level
exposures
were
used
form
exposome
(NE)
score.
SCZ-PRS
not
statistically
significantly
associated
with
odds
of
(OR
=
1.04,
95%
CI:
0.97,
1.13,
P
=
0.280),
whereas
NE
1.15,
1.05,
1.26,
0.003).
association
between
attenuated
as
increased
for
0.92,
0.86,
1.00,
0.039).
findings
indicate
that
detrimental
exposures,
particularly
low
genetic
risks.
Schizophrenia,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: Feb. 22, 2025
Abstract
This
study
aimed
to
assess
the
independent
and
joint
associations
of
genomic
exposomic
liabilities
for
schizophrenia
with
distressing
psychotic
experiences
(PEs)
their
persistence
in
early
adolescence.
The
Adolescent
Brain
Cognitive
Development
Study
data
from
children
European
ancestry
were
used
(
N
=
5122).
primary
outcome
was
past-month
PEs
at
3-year
follow-up.
Secondary
outcomes
varying
cutoffs
persistence.
Multilevel
logistic
regression
models
test
binary
modes
(>75th
percentile)
polygenic
risk
score
(PRS-SCZ
75
)
exposome
(ES-SCZ
on
outcomes.
Relative
excess
due
interaction
(RERI)
calculation
indicated
additive
interaction.
When
analyzed
independently,
PRS-SCZ
not
significantly
associated
but
lifetime
(OR
1.29
[95%
CI
1.08,
1.53])
repeating
≥2
waves
1.34
1.65]);
whereas,
ES-SCZ
consistently
all
outcomes,
increasing
strength
association
as
a
function
(one
wave:
OR
2.77
2.31,
3.31];
two
waves:
3.16
2.54,
3.93];
three
3.93
2.86,
5.40];
four
3.65
2.34,
5.70]).
considered
jointly,
did
additively
interact
predict
showed
significant
interactions
(RERI
1.26
[95%CI
0.14,
2.38])
1.79
0.35,
3.23]).
Genomic
independently
jointly
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.
NPP—Digital Psychiatry and Neuroscience,
Journal Year:
2024,
Volume and Issue:
2(1)
Published: April 23, 2024
Abstract
Recently,
the
U.S.
Surgeon
General
issued
an
advisory
highlighting
lack
of
knowledge
about
safety
ubiquitous
social
media
use
on
adolescent
mental
health.
For
many
youths,
can
become
excessive
and
contribute
to
frequent
exposure
adverse
peer
interactions
(e.g.,
cyberbullying,
hate
speech).
Nonetheless,
is
complex,
although
there
are
clear
challenges,
it
also
create
critical
new
avenues
for
connection,
particularly
among
marginalized
youth.
In
current
project,
we
leverage
a
large
nationally
diverse
sample
adolescents
from
Adolescent
Brain
Cognitive
Development
(ABCD)
Study
assessed
between
2019–2020
(
N
=
10,147,
M
age
12.0,
48%
assigned
female
at
birth,
20%
Black,
Hispanic)
test
associations
specific
facets
type
apps
used,
time
spent,
addictive
patterns
use)
overall
Specifically,
data-driven
exposome-wide
association
was
applied
generate
digital
exposomic
risk
scores
that
aggregate
cumulative
burden
exposure.
This
included
general
usage,
having
secret
accounts,
problematic/addictive
behavior,
other
factors.
validation
models,
explained
substantial
variance
in
child-reported
psychopathology,
history
suicide
attempt,
over
above
sociodemographics,
non-social
screentime,
non-digital
adversity
abuse,
poverty).
Furthermore,
differences
shed
insight
into
health
disparities,
youth
color
sexual
gender
minority
Our
work
using
approach
supports
notion
exposures,
particular
use,
US
adolescents.