Frontiers in Psychiatry,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 6, 2024
Major
depressive
disorder
(MDD)
is
a
severe
psychiatric
characterized
by
complex
etiology,
with
genetic
determinants
that
are
not
fully
understood.
The
objective
of
this
study
was
to
investigate
the
pathogenesis
MDD
and
explore
its
association
immune
system
identifying
hub
biomarkers
using
bioinformatics
analyses
examining
infiltrates
in
human
autopsy
samples.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 7, 2024
Abstract
Background
There
is
evidence
that
adverse
childhood
experiences
(ACEs)
and
negative
life
events
(NLEs)
are
associated
with
major
depression
(MDD).
Purpose
To
determine
whether
ACEs
affect
all
features
of
mild
MDD,
including
suicidal
tendencies,
brooding,
neuroticism,
insomnia,
cognitive
deficits,
severity
anxiety,
NLEs
mediate
these
effects.
Patients
methods
This
study
examines
a
cohort
118
academic
students,
namely
74
students
who
satisfied
the
DSM-5-TR
criteria
for
MDD
44
normal
control
students.
We
assessed
ideation
attempts,
depression,
Stroop
tests.
Results
One
validated
factor
could
be
extracted
from
current
behaviors,
labeled
phenome
depression.
A
large
part
variance
in
(55.0%)
was
explained
by
combined
effects
self-,
relationships,
academic-related
conjunction
ACEs,
family
dysfunction
abuse
neglect
(both
physical
emotional).
The
latter
significantly
interacted
(moderating
effect)
to
impact
phenome.
Although
sexual
did
not
have
direct
on
phenome,
its
were
mediated
NLEs.
discovered
increased
abuse,
emotional
neglect,
related
predicted
22.5%
Up
18.5%
test
scores
scores.
Conclusion
Complex
intersections
between
which
comprises
while
together
other
may
interference
inhibition.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 13, 2024
Abstract
Background
The
first
author
of
this
paper
introduced
new
precision
nomothetic
models
for
a
major
depressive
episode
(MDD)
which
incorporate
quantitative
scores
that
measure
recurrence
illness
(ROI).
Objective
To
explore
the
connections
between
ROI
and
biomarkers
related
to
an
activated
immune
network,
immune-linked
neurotoxicity
(INT),
combined
INT
atherogenicity
index
(METAMMUNE).
Methods
study
involved
67
healthy
controls
66
outpatient
MDD
(OMDD)
participants.
We
utilized
Multiplex
method
48
cytokines,
developed
METAMMUNE
composite
scores.
measurements
included
triglycerides,
free
cholesterol,
LDL
HDL-cholesterol,
apolipoprotein
(Apo)A1
ApoB.
Results
A
was
successfully
created
by
extracting
validated
principal
component,
from
number
physician-rated
episodes,
frequency
lifetime
suicidal
ideation
attempts.
Adverse
childhood
experiences
accounted
20-22%
variance
in
ROI.
latter
significantly
associated
with
indices,
neuroticism,
current
behaviors,
phenome
(p<0.001).
Our
analysis
revealed
significant
portion
(55.1%)
OMDD
phenome,
includes
anxiety,
depression,
can
be
regression
on
INT,
ROI,
emotional
neglect
abuse.
latent
construct
extracted
three
components,
indices.
Conclusions
immune-metabolic
are
indicators
shared
underlying
concept,
specifically
ROI-neuroimmune-metabolic
pathway
phenotype.
is
crucial
indicator
rising
abnormalities
heightened
susceptibility
tendencies
illness.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 6, 2024
Abstract
Background
Major
depressive
disorder
(MDD)
and
its
most
severe
phenotype,
major
dysmood
(MDMD),
are
distinguished
by
the
activation
of
immune-inflammatory
response
system,
T
cell
activation,
a
relative
regulatory
suppression.
Nevertheless,
these
immune
data
were
not
used
to
characterize
features
protein-protein
interaction
(PPI)
network
MDMD.
Objectives
To
identify
network’s
nodes
bottlenecks
as
well
biological
processes
that
overrepresented
in
PPI
network,
we
conducted
annotation,
enrichment
analyses.
Results
The
analysis
has
identified
following
backbone
genes:
tumor
necrosis
factor-α
(TNF),
interleukin
(IL)6,
CXCL12,
CXCL10,
CCL5,
cluster
differentiation
(CD)4,
CD8A,
human
leukocyte
antigen
(HLA)-DR,
FOXP3.
A
“cellular
defense
response”,
an
“immune
system
“a
viral
process
involves
protein
with
cytokines
cytokine
receptors”
all
highly
associated
network.
chemokine
TNF
nuclear
factor-κB
(NFKB)
pathways
additional
enriched
Molecular
complex
detection
extracted
one
component
from
data,
including
receptors
“regulated
RELA”
(an
NFKB
subunit).
Conclusions
Viral
may
underlie
cells
networks
Future
research
on
pathogenesis
MDMD
MDD
should
examine
whether
which
infections
onset
conditions,
or
reactivation
is
recurrence
illness.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 3, 2024
Abstract
Background
Major
depressive
disorder
(MDD)
and
its
most
severe
phenotype,
major
dysmood
(MDMD),
are
distinguished
by
the
activation
of
immune-inflammatory
response
system,
T
cell
activation,
a
relative
regulatory
suppression.
Nevertheless,
these
immune
data
were
not
used
to
characterize
features
protein-protein
interaction
(PPI)
network
MDMD.
Objectives
To
identify
network's
nodes
bottlenecks
as
well
biological
processes
that
overrepresented
in
PPI
network,
we
conducted
annotation,
enrichment
analyses.
Results
The
analysis
has
identified
following
backbone
genes:
tumor
necrosis
factor-α
(TNF),
interleukin
(IL)6,
CXCL12,
CXCL10,
CCL5,
cluster
differentiation
(CD)4,
CD8A,
human
leukocyte
antigen
(HLA)-DR,
FOXP3.
A
“cellular
defense
response”,
an
“immune
system
“a
viral
process
involves
protein
with
cytokines
cytokine
receptors”
all
highly
associated
network.
chemokine
TNF
nuclear
factor-κB
(NFKB)
pathways
additional
enriched
Molecular
complex
detection
extracted
one
component
from
data,
including
receptors
“regulated
RELA”
(an
NFKB
subunit).
Conclusions
Viral
may
underlie
cells
networks
Future
research
on
pathogenesis
MDMD
MDD
should
examine
whether
which
infections
onset
conditions,
or
reactivation
is
recurrence
illness.
Frontiers in Psychiatry,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 6, 2024
Major
depressive
disorder
(MDD)
is
a
severe
psychiatric
characterized
by
complex
etiology,
with
genetic
determinants
that
are
not
fully
understood.
The
objective
of
this
study
was
to
investigate
the
pathogenesis
MDD
and
explore
its
association
immune
system
identifying
hub
biomarkers
using
bioinformatics
analyses
examining
infiltrates
in
human
autopsy
samples.