Psychoneuroendocrinology,
Journal Year:
2023,
Volume and Issue:
156, P. 106364 - 106364
Published: Aug. 10, 2023
Exposure
to
early
adversity
is
one
of
the
most
important
and
pervasive
risk
factors
for
development
nearly
all
major
mental
disorders
across
lifespan.
In
search
mediating
mechanisms
processes
that
underlie
long-term
stability
these
effects,
changes
stress-associated
hormonal
cellular
signalling
have
emerged
as
prime
candidates.
This
review
summarises
evidence
showing
experience
in
form
childhood
abuse
or
neglect
exposure
severe
institutional
deprivation
influences
multiple
interconnected
bio-behavioural,
physiological
processes.
paper
focusses
on
dysregulations
stress
regulation,
altered
DNA
methylation
pattern,
transcriptomic
profiles
context
stress-immune
interplay,
mitochondrial
biology.
Consistent
findings
include
a
relative
cortisol
hypoactivity
hyporeactivity
response
challenge,
increased
activity
pro-inflammatory
genes,
function.
The
majority
investigations
focussed
single
outcomes,
but
there
clear
rationale
conceiving
implicated
parts
wider
regulatory
network,
which
turn
connected
behaviour
disorders.
calls
integrated
longitudinal
come
more
comprehensive
understanding
role
biological
embedding
experience.
concludes
with
considerations
how
research
can
contribute
translational
efforts
through
characterising
subtypes
arise
function
adversity,
distinct
features
behavioral
processing.
Egyptian Journal of Medical Human Genetics,
Journal Year:
2025,
Volume and Issue:
26(1)
Published: March 20, 2025
Abstract
Background
Posttraumatic
stress
disorder
(PTSD)
affects
approximately
8%
of
the
US
population,
with
varying
susceptibility
among
individuals
exposed
to
trauma.
While
genetic
factors
contribute
PTSD
risk,
emerging
evidence
suggests
that
epigenetic
mechanisms
play
a
crucial
role
in
translating
environmental
exposures
into
lasting
neurobiological
changes.
Purpose
This
review
provides
comprehensive
analysis
cutting-edge
research
on
PTSD,
particular
emphasis
novel
findings
regarding
resilience
and
mechanisms.
We
explore
recent
technological
advances
their
applications
understanding
pathophysiology.
Main
body
Advanced
epigenomic
approaches
have
revealed
complex
interactions
between
DNA
methylation,
histone
modifications,
non-coding
RNAs
PTSD.
Novel
highlight
cell
type-specific
signatures
temporal
dynamics
following
trauma
exposure.
Single-cell
studies
identified
previously
unknown
cellular
heterogeneity
responses.
Recent
data
modifications
not
only
influence
individual
but
may
also
transgenerational
transmission
effects.
Integrative
multi-omics
new
insights
molecular
networks
underlying
vulnerability.
Conclusion
unprecedented
complexity
These
open
avenues
for
personalized
interventions
based
profiles
suggest
therapeutic
strategies
targeting
modifications.
enhanced
has
significant
implications
risk
assessment,
prevention,
treatment.
Graphical
abstract
Translational Psychiatry,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 6, 2025
Abstract
Despite
increasing
mental
health
problems
among
young
people,
few
studies
have
examined
associations
between
plasma
proteins
and
health.
Interactions
metabolites
in
association
with
remain
underexplored.
In
730
twins,
we
quantified
measured
at
age
22
21
indicators
of
either
depressive
symptoms
or
the
p-factor
tested
for
interactions
metabolites.
Symptoms
were
collected
from
questionnaires
interviews
completed
by
different
raters
(e.g.,
self-report,
teachers)
through
adolescence
to
adulthood
(12
years).
We
found
47
associated
(FDR
<
0.2),
9
being
both.
Two
proteins,
contactin-1
mast/stem
cell
growth
factor
receptor
kit,
positively
interacted
valine
levels
explaining
variability.
Our
study
demonstrates
strong
provides
evidence
proteome–metabolome
higher
problems.
Molecular Psychiatry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 10, 2024
Over
90%
of
drug
candidates
fail
in
clinical
trials,
while
it
takes
10-15
years
and
one
billion
US
dollars
to
develop
a
single
successful
drug.
Drug
development
is
more
challenging
for
psychiatric
disorders,
where
disease
comorbidity
complex
symptom
profiles
obscure
the
identification
causal
mechanisms
therapeutic
intervention.
One
promising
approach
determining
suitable
trials
integrating
human
genetic
data
into
selection
process.
Genome-wide
association
studies
have
identified
thousands
replicable
risk
loci
sophisticated
statistical
tools
are
increasingly
effective
at
using
these
pinpoint
likely
genes.
These
also
uncovered
shared
or
pleiotropic
factors
underlying
comorbid
disorders.
In
this
article,
we
argue
that
leveraging
effects
will
provide
opportunities
discover
novel
targets
identify
treatments
disorders
by
targeting
common
mechanism
rather
than
treating
each
separately.
Discover Mental Health,
Journal Year:
2023,
Volume and Issue:
3(1)
Published: Aug. 24, 2023
The
growing
global
burden
of
mental
illness
has
prompted
calls
for
innovative
research
strategies.
Theoretical
models
health
include
complex
contributions
biological,
psychosocial,
experiential,
and
other
environmental
influences.
Accordingly,
neuropsychiatric
self-organized
into
largely
isolated
disciplines
working
to
decode
each
individual
contribution.
However,
directly
modeling
objective
biological
measurements
in
combination
with
cognitive,
psychological,
demographic,
or
is
only
now
beginning
proliferate.
This
review
aims
(1)
describe
the
landscape
modern
current
movement
towards
integrative
study,
(2)
provide
a
concrete
framework
quantitative
research,
which
we
call
Whole
Person
Modeling,
(3)
explore
existing
emerging
techniques
methods
used
(4)
discuss
our
observations
about
scarcity,
potential
value,
untested
aspects
highly
transdisciplinary
general.
Modeling
studies
have
better
understanding
multilevel
phenomena,
deliver
more
accurate
diagnostic
prognostic
tests
aid
clinical
decision
making,
test
long
standing
theoretical
illness.
Some
barriers
progress
challenges
interdisciplinary
communication
collaboration,
systemic
cultural
career
paths,
technical
model
specification,
bias,
data
harmonization,
gaps
educational
programs.
We
hope
ease
anxiety
field
surrounding
often
mysterious
intimidating
world
transdisciplinary,
data-driven
useful
orientation
students
specialized
researchers
who
are
new
this
area.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 9, 2023
Abstract
Proteome-wide
association
studies
(PWAS)
decode
the
intricate
proteomic
landscape
of
biological
mechanisms
for
complex
diseases.
Traditional
PWAS
model
training
relies
heavily
on
individual-level
reference
proteomes,
thereby
restricting
its
capacity
to
harness
emerging
summary-level
protein
quantitative
trait
loci
(pQTL)
data
in
public
domain.
Here
we
introduced
a
novel
framework
train
models
directly
from
pQTL
summary
statistics.
By
leveraging
extensive
UK
Biobank,
deCODE,
and
ARIC
studies,
applied
our
approach
large-scale
European
(total
n
=
88,838
subjects).
Furthermore,
developed
tailored
Asian
African
ancestries
by
integrating
multi-ancestry
resources
914
3,042
ancestries).
We
validated
performance
through
systematic
analysis
over
700
phenotypes
across
five
major
genetic
resources.
Our
results
bridge
gap
between
genomics
proteomics
drug
discovery,
highlighting
protein-phenotype
links
their
transferability
diverse
ancestries.
The
are
freely
available
at
www.gcbhub.org
.
Molecules,
Journal Year:
2023,
Volume and Issue:
28(21), P. 7430 - 7430
Published: Nov. 4, 2023
Major
depressive
disorder
(MDD)
is
a
serious
mental
illness
with
heavy
social
burden,
but
its
underlying
molecular
mechanisms
remain
unclear.
Mass
spectrometry
(MS)-based
metabolomics
providing
new
insights
into
the
heterogeneous
pathophysiology,
diagnosis,
treatment,
and
prognosis
of
MDD
by
revealing
multi-parametric
biomarker
signatures
at
metabolite
level.
In
this
comprehensive
review,
recent
developments
MS-based
in
research
are
summarized
from
perspective
analytical
platforms
(liquid
chromatography-MS,
gas
supercritical
fluid
etc.),
strategies
(untargeted,
targeted,
pseudotargeted
metabolomics),
key
changes
(monoamine
neurotransmitters,
amino
acids,
lipids,
antidepressant
treatments
(both
western
traditional
Chinese
medicines).
Depression
sub-phenotypes,
comorbid
depression,
multi-omics
approaches
also
highlighted
to
stimulate
further
advances
field
research.
Computational and Structural Biotechnology Journal,
Journal Year:
2024,
Volume and Issue:
23, P. 659 - 668
Published: Jan. 5, 2024
Analyzing
the
vast
amount
of
omics
data
generated
comprehensively
by
high-throughput
sequencing
technology
is
utmost
importance
for
scientists.
In
this
context,
we
propose
HiOmics,
a
cloud-based
platform
equipped
with
nearly
300
plugins
designed
comprehensive
analysis
and
visualization
data.
HiOmics
utilizes
Element
Plus
framework
to
craft
user-friendly
interface
harnesses
Docker
container
ensure
reliability
reproducibility
results.
Furthermore,
employs
Workflow
Description
Language
Cromwell
engine
construct
workflows,
ensuring
portability
simplifying
examination
intricate
Additionally,
has
developed
DataCheck,
tool
based
on
Golang,
which
verifies
converts
formats.
Finally,
leveraging
object
storage
batch
computing
capabilities
public
cloud
platforms,
enables
processing
large-scale
while
maintaining
resource
independence
among
users.
Neuropsychopharmacology,
Journal Year:
2024,
Volume and Issue:
50(1), P. 37 - 51
Published: Aug. 8, 2024
Abstract
Research
into
the
brain
basis
of
psychopathology
is
challenging
due
to
heterogeneity
psychiatric
disorders,
extensive
comorbidities,
underdiagnosis
or
overdiagnosis,
multifaceted
interactions
with
genetics
and
life
experiences,
highly
multivariate
nature
neural
correlates.
Therefore,
increasingly
larger
datasets
that
measure
more
variables
in
cohorts
are
needed
gain
insights.
In
this
review,
we
present
current
“best
practice”
approaches
for
using
existing
databases,
collecting
sharing
new
repositories
big
data
analyses,
future
directions
neuroimaging
psychiatry
an
emphasis
on
contributing
collaborative
efforts
challenges
multi-study
analysis.