Human Brain Mapping,
Journal Year:
2022,
Volume and Issue:
43(12), P. 3759 - 3774
Published: April 23, 2022
Abstract
Cardiometabolic
risk
(CMR)
factors
are
associated
with
accelerated
brain
aging
and
increased
for
sex‐dimorphic
illnesses
such
as
Alzheimer's
disease
(AD).
Yet,
it
is
unknown
how
CMRs
interact
sex
apolipoprotein
E‐
ϵ
4
(
APOE4
),
a
known
genetic
factor
AD,
to
influence
age
across
different
life
stages.
Using
prediction
based
on
multi‐shell
diffusion‐weighted
imaging
data
in
21,308
UK
Biobank
participants,
we
investigated
whether
associations
between
white
matter
Brain
Age
Gap
(BAG)
body
mass
index
(BMI),
waist‐to‐hip
ratio
(WHR),
fat
percentage
(BF%),
status
varied
(i)
males
females,
(ii)
according
at
menopause
(iii)
groups
females.
We
report
differences
BAG
all
three
CMRs,
stronger
positive
among
compared
Independent
of
status,
higher
(older
relative
chronological
age)
was
greater
BMI,
WHR,
BF%
males,
whereas
but
not
BMI
BF%.
These
divergent
were
most
prominent
within
the
oldest
group
females
(66–81
years),
where
linked
lower
BAG.
Earlier
transition
BAG,
no
interactions
found
CMRs.
In
conclusion,
findings
point
sex‐
age‐specific
age.
Incorporating
interest
studies
addressing
CMR
may
promote
sex‐specific
precision
medicine,
consequently
improving
health
care
both
Diabetes,
Journal Year:
2020,
Volume and Issue:
69(9), P. 1857 - 1863
Published: July 15, 2020
Coronavirus
disease
2019
(COVID-19)
is
a
novel
threat
that
seems
to
result
from
the
collusion
between
new
pandemic
of
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
and
an
existing
metabolic
driven
by
obesity.
This
Perspective
explores
evolving
epidemiological,
clinical,
biological,
molecular
evidence
propose
unfolding
paradigm
in
which
old
age,
chronic
(such
as
obesity,
type
diabetes,
syndrome),
male
biological
sex
produce
deadly
symbiosis
dysregulated
immunometabolism
systemic
inflammation
intensifies
virally
induced
hyperinflammation
associated
with
SARS-CoV-2
infection.
It
intended
inspire
research
directions
stimulate
funding
this
field.
Journal of Endocrinological Investigation,
Journal Year:
2023,
Volume and Issue:
47(2), P. 299 - 306
Published: Sept. 23, 2023
Abstract
Purpose
There
is
a
growing
awareness
of
the
importance
understanding
gender
differences
in
obesity.
The
aim
this
short
review
was
to
revise
current
evidence
on
anthropometric
characteristics
and
nutritional
pharmacological
aspects
obesity
from
perspective.
Methods
A
literature
search
within
PubMed
performed.
Selected
publications
related
were
reviewed.
Results
prevalence
among
men
higher
than
women,
but
women
have
percentage
body
fat
content
compared
men,
appears
be
an
important
factor
manifestation
central
(android)
or
peripheral
(gynoid)
In
addition,
while
most
clinical
trials,
are
still
underrepresented,
registration
trials
anti-obesity
drugs,
commonly
up-represented
gender-specific
analysis
uncommon.
Considering
that
adipose
tissue
one
factors
affecting
volume
distribution
many
mainly
lipophilic
might
expected
pharmacokinetics
pharmacodynamics
drugs.
Indeed,
although
Liraglutide
3
mg,
long-acting
glucagon-like
peptide-1
receptor
agonist,
naltrexone/bupropion
display
properties,
currently,
gender–dose
adjustment
for
both
these
drugs
administration
not
recommended.
despite
predicted
responders
treatment
offer
substantial
opportunities
efficient
use,
especially
expensive
new
therapies,
such
as
data
identify
early
yet
been
investigated.
Finally,
bariatric
surgery
disparity
reflects
healthcare
practices.
Weight
loss
similar,
differing
effects:
need
more
correction
face
psychology
challenges;
worse
physiology
fewer
comorbidity
improvements.
Conclusion
Gender
exist
phenotype,
distribution,
drug
efficacy,
trial
representation,
different
secondary
effects
surgery.
variable
analysis.
International Journal of Molecular Sciences,
Journal Year:
2023,
Volume and Issue:
24(2), P. 1588 - 1588
Published: Jan. 13, 2023
Metabolic
syndrome
(Mets)
is
a
clinical
condition
characterized
by
cluster
of
major
risk
factors
for
cardiovascular
disease
(CVD)
and
type
2
diabetes:
proatherogenic
dyslipidemia,
elevated
blood
pressure,
dysglycemia,
abdominal
obesity.
Each
factor
has
an
independent
effect,
but,
when
aggregated,
they
become
synergistic,
doubling
the
developing
diseases
causing
1.5-fold
increase
in
all-cause
mortality.
We
will
highlight
gender
differences
epidemiology,
etiology,
pathophysiology,
expression
aforementioned
Mets
components.
Moreover,
we
discuss
new
biochemical
markers
metabolic
risk.
Scientific Reports,
Journal Year:
2019,
Volume and Issue:
9(1)
Published: Feb. 25, 2019
Abstract
Studying
circadian
rhythms
in
most
human
tissues
is
hampered
by
difficulty
collecting
serial
samples.
Here
we
reveal
the
transcriptome
and
metabolic
pathways
of
white
adipose
tissue.
Subcutaneous
tissue
was
taken
from
seven
healthy
males
under
highly
controlled
‘constant
routine’
conditions.
Five
biopsies
per
participant
were
at
six-hourly
intervals
for
microarray
analysis
silico
integrative
modelling.
We
identified
837
transcripts
exhibiting
expression
profiles
(2%
41619
transcript
targeting
probes
on
array),
with
clear
separation
peaking
morning
(258
probes)
evening
(579
probes).
There
only
partial
overlap
our
rhythmic
published
animal
blood
data.
Morning-peaking
associated
regulation
gene
expression,
nitrogen
compound
metabolism,
nucleic
acid
biology;
evening-peaking
organic
cofactor
metabolism
redox
activity.
In
pathway
further
indicated
lipid
metabolism;
it
also
predicted
variation
key
such
as
citric
cycle
branched
chain
amino
degradation.
summary,
vivo
exist
multiple
pathways,
including
those
involved
core
aspects
cellular
biochemistry.
Obesity Surgery,
Journal Year:
2020,
Volume and Issue:
30(12), P. 5086 - 5100
Published: Oct. 6, 2020
Abstract
Emerging
evidence
highlights
that
dysfunction
of
adipose
tissue
contributes
to
impaired
insulin
sensitivity
and
systemic
metabolic
deterioration
in
obese
state.
Of
note,
adipocyte
hypertrophy
serves
as
a
critical
event
which
associates
closely
with
dysfunction.
An
increase
cell
size
exacerbates
hypoxia
inflammation
well
excessive
collagen
deposition,
finally
leading
dysregulation.
Specific
mechanisms
include
dysregulated
differentiation
maturation
preadipocytes,
enlargement
lipid
droplets,
abnormal
osmolarity
sensors.
Also,
weight
loss
therapies
exert
profound
influence
on
size.
Here,
we
summarize
the
role
development
disturbances.
Future
studies
are
required
establish
standard
criterion
measurement
better
clarify
impact
changes
homeostasis.
Open Biology,
Journal Year:
2020,
Volume and Issue:
10(12)
Published: Dec. 1, 2020
Adipose,
or
fat,
tissue
(AT)
was
once
considered
an
inert
that
primarily
existed
to
store
lipids,
and
not
historically
recognized
as
important
organ
in
the
regulation
maintenance
of
health.
With
rise
obesity
more
rigorous
research,
AT
is
now
a
highly
complex
metabolic
involved
host
physiological
functions,
including
glucose
homeostasis
multitude
endocrine
capabilities.
dysfunction
has
been
implicated
several
disease
states,
most
notably
obesity,
syndrome
type
2
diabetes.
The
study
provided
useful
insight
developing
strategies
combat
these
prevalent
diseases.
This
review
highlights
major
functions
adipose
consequences
can
occur
when
disruption
leads
systemic
dysfunction.
Obesity Reviews,
Journal Year:
2021,
Volume and Issue:
23(S1)
Published: Nov. 12, 2021
We
conducted
a
systematic
review
and
meta-analysis
of
the
associations
between
prenatal
exposure
to
persistent
organic
pollutants
(POPs)
childhood
obesity.
focused
on
organochlorines
(dichlorodiphenyltrichloroethane
[DDT],
dichlorodiphenyldichloroethylene
[DDE],
hexachlorobenzene
[HCB],
polychlorinated
biphenyls
[PCBs]),
perfluoroalkyl
polyfluoroalkyl
substances
(PFAS),
polybrominated
diphenyl
ethers
(PBDEs)
that
are
POPs
more
widely
studied
in
environmental
birth
cohorts
so
far.
search
two
databases
(PubMed
Embase)
through
July/09/2021
identified
33
studies
reporting
with
organochlorine
exposure,
21
PFAS,
five
PBDEs.
qualitative
review.
Additionally,
we
performed
random-effects
meta-analyses
POP
exposures,
data
estimates
from
at
least
three
prospective
studies,
BMI-z.
Prenatal
DDE
HCB
levels
were
associated
higher
BMI
z-score
(beta:
0.12,
95%
CI:
0.03,
0.21;
I