Health
outcomes
among
children
born
prematurely
are
known
to
be
sexually
dimorphic,
with
male
infants
often
more
affected,
yet
the
mechanism
behind
this
observation
is
not
clear.
CpG
methylation
levels
in
placenta
and
blood
also
differ
by
sex
associated
adverse
health
outcomes.
We
contrasted
neonatal
(n
=
358)
from
Extremely
Low
Gestational
Age
Newborn
(ELGAN)
cohort
based
on
EPIC
array,
which
assays
over
850,000
sites
across
epigenome.
Sex-specific
epigenome-wide
association
analyses
were
conducted
for
samples
independently,
results
compared
determine
tissue-specific
differences
between
patterns
males
females.
All
models
adjusted
cell
type
heterogeneity.
Enrichment
pathway
analysis
was
performed
identify
biological
functions
of
genes
related
dimorphic
sites.Approximately
11,500
differentially
methylated
relation
sex.
Of
these,
5949
placenta-specific
5361
blood-specific,
only
233
overlapping
both
tissues.
For
sites,
90%
hypermethylated
males.
blood-specific
95%
In
placenta,
keratinocyte
differentiation
pathways
enriched
genes.
No
enrichment
observed
blood.Distinct
female
extremely
premature,
placenta.
These
findings
provide
new
insights
into
epigenetic
mechanisms
underlying
premature
infants.
Abstract
Sex
and
gender
disparities
in
bladder
cancer
have
long
been
a
subject
of
interest
to
the
research
community,
wherein
men
4
times
higher
incidence
rate
than
women,
female
patients
often
present
with
higher-grade
disease
experience
worse
outcomes.
Despite
known
differences
clinical
outcomes
between
male
patients,
management
remains
same.
In
this
review,
we
critically
analyze
studies
that
report
on
biological
women
evaluate
how
these
contribute
sex
cancer.
Distinct
characteristics
immune
systems,
circulating
hormone
levels
receptor
expression,
different
genetic
epigenetic
alterations
are
major
factors
all
likely
disparate
rates
for
patients.
Future
preclinical
area
should
employ
experimental
approaches
account
consider
cancer,
thereby
facilitating
development
precision
medicine
effective
treatment
EBioMedicine,
Год журнала:
2024,
Номер
100, С. 104956 - 104956
Опубликована: Янв. 9, 2024
BackgroundSmoking
impacts
DNA
methylation,
but
data
are
lacking
on
smoking-related
differential
methylation
by
sex
or
dietary
intake,
recent
smoking
cessation
(<1
year),
persistence
of
from
in
utero
exposure,
and
effects
environmental
tobacco
smoke
(ETS).MethodsWe
meta-analysed
up
to
15,014
adults
across
5
cohorts
with
measured
blood
using
Illumina's
EPIC
array
for
current
(2560
exposed),
quit
<
1
year
(500
(286
ETS
exposure
(676
exposed).
We
also
evaluated
the
interaction
diet
(fibre,
folate,
vitamin
C).FindingsUsing
false
discovery
rate
(FDR
0.05),
65,857
CpGs
were
differentially
methylated
relation
smoking,
4025
quitting,
594
6
ETS.
Most
attenuated
within
a
quitting.
related
enriched
those
previously
observed
newborns.
Differential
at
4–71
may
be
modified
intake.
Nearly
half
(35–50%)
450
K
associated
gene
expression.
Current
implicated
3049
1067
druggable
targets,
including
chemotherapy
drugs.InterpretationMany
sites
identified
array.
signals
revert
levels
never
smokers
cessation.
Many
persist
into
adulthood.
Smoking-related
targets
provide
insights
cancer
treatment
response
shared
mechanisms
diseases.FundingIntramural
Research
Program
National
Institutes
Health,
Norwegian
Ministry
Health
Care
Services
Education
Research,
Chief
Scientist
Office
Scottish
Government
Directorates
Funding
Council,
Medical
Council
UK
Wellcome
Trust.
Journal of Clinical Investigation,
Год журнала:
2024,
Номер
134(13)
Опубликована: Июнь 30, 2024
Cancer
risk
is
modulated
by
hereditary
and
somatic
mutations,
exposures,
age,
sex,
gender.
The
mechanisms
which
sex
gender
work
alone
in
combination
with
other
cancer
factors
remain
underexplored.
In
general,
cancers
that
occur
both
the
male
female
sexes
more
commonly
XY
compared
XX
individuals,
regardless
of
genetic
ancestry,
geographic
location,
age.
Moreover,
individuals
are
less
frequently
cured
their
cancers,
highlighting
need
for
a
greater
understanding
effects
oncology.
This
will
be
necessary
optimal
laboratory
clinical
investigations.
To
end,
we
review
epigenetics
sexual
differentiation
its
effect
on
hallmark
pathways
throughout
life.
Specifically,
touch
how
differences
metabolism,
immunity,
pluripotency,
tumor
suppressor
functions
patterned
through
epigenetic
imprinting,
chromosome
complement,
X
inactivation,
genes
escaping
hormones,
life
history.
Frontiers in Immunology,
Год журнала:
2025,
Номер
15
Опубликована: Янв. 16, 2025
Biological
sex
is
closely
associated
with
the
properties
and
extent
of
immune
response,
males
females
showing
different
susceptibilities
to
diseases
variations
in
immunity.
Androgens,
predominantly
males,
generally
suppress
responses,
while
estrogens,
more
abundant
females,
tend
enhance
It
also
established
that
hormones
at
least
partially
explain
biases
diseases,
particularly
autoimmune
females.
These
differences
are
influenced
by
hormonal,
genetic,
environmental
factors,
vary
throughout
life
stages.
The
advent
gender-affirming
hormone
therapy
offers
a
novel
opportunity
study
immunological
effects
hormones.
Despite
limited
studies
on
this
topic,
available
research
has
revealed
testosterone
transgender
men
may
certain
functions,
such
as
type
I
interferon
increasing
inflammation
markers
like
TNF-α.
Transgender
women
estrogen
experience
alterations
coagulation-related
inflammatory
characteristics.
Furthermore,
other
possible
regulation
can
be
inferred
from
assessment
individuals
receiving
therapy.
Understanding
complex
interactions
between
system,
through
unique
perspective
offered
therapies,
facilitate
development
targeted
therapies
for
infections
improving
healthcare
outcomes
individuals.
Here
we
review
dynamics
both
sexes
provide
summary
findings
drawn
exploring
Biology,
Год журнала:
2025,
Номер
14(1), С. 98 - 98
Опубликована: Янв. 19, 2025
Neurodegenerative
diseases
are
characterized
by
profound
differences
between
females
and
males
in
terms
of
incidence,
clinical
presentation,
disease
progression.
Furthermore,
there
is
evidence
suggesting
that
sensitivity
to
medical
treatments
may
exist
the
two
sexes.
Although
role
sex
hormones
chromosomes
driving
differential
susceptibility
these
well-established,
molecular
alterations
underlying
remain
poorly
understood.
Epigenetic
mechanisms,
including
DNA
methylation,
histone
tail
modifications,
activity
non-coding
RNAs,
strongly
implicated
pathogenesis
neurodegenerative
diseases.
While
it
known
epigenetic
mechanisms
play
a
crucial
sexual
differentiation
distinct
patterns
characterize
males,
sex-specific
have
been
largely
overlooked
studies
aiming
identify
associated
with
This
review
aims
provide
an
overview
processes
central
nervous
system,
main
three
diseases,
Alzheimer’s
disease,
Parkinson’s
amyotrophic
lateral
sclerosis.
Understanding
sex-related
essential
for
developing
personalized
interventions
account
unique
landscapes
each
sex.
PLoS Genetics,
Год журнала:
2023,
Номер
19(5), С. e1010517 - e1010517
Опубликована: Май 22, 2023
Integrative
approaches
that
simultaneously
model
multi-omics
data
have
gained
increasing
popularity
because
they
provide
holistic
system
biology
views
of
multiple
or
all
components
in
a
biological
interest.
Canonical
correlation
analysis
(CCA)
is
correlation-based
integrative
method
designed
to
extract
latent
features
shared
between
assays
by
finding
the
linear
combinations
features–referred
as
canonical
variables
(CVs)–within
each
assay
achieve
maximal
across-assay
correlation.
Although
widely
acknowledged
powerful
approach
for
data,
CCA
has
not
been
systematically
applied
large
cohort
studies,
which
only
recently
become
available.
Here,
we
adapted
sparse
(SMCCA),
widely-used
derivative
CCA,
proteomics
and
methylomics
from
Multi-Ethnic
Study
Atherosclerosis
(MESA)
Jackson
Heart
(JHS).
To
tackle
challenges
encountered
when
applying
SMCCA
MESA
JHS,
our
adaptations
include
incorporation
Gram-Schmidt
(GS)
algorithm
with
improve
orthogonality
among
CVs,
development
Sparse
Supervised
Multiple
(SSMCCA)
allow
supervised
integration
more
than
two
assays.
Effective
application
real
datasets
reveals
important
findings.
Applying
SMCCA-GS
identified
strong
associations
blood
cell
counts
protein
abundance,
suggesting
adjustment
composition
should
be
considered
protein-based
association
studies.
Importantly,
CVs
obtained
independent
cohorts
also
demonstrate
transferability
across
cohorts.
For
example,
proteomic
learned
transferred
MESA,
explain
similar
amounts
count
phenotypic
variance
explaining
39.0%
~
50.0%
variation
JHS
38.9%
49.1%
MESA.
Similar
was
observed
other
omics-CV-trait
pairs.
This
suggests
biologically
meaningful
cohort-agnostic
captured
CVs.
We
anticipate
SSMCCA
on
various
would
help
identify
relationships
traits.