Daily Lipolysis Gene Expression in Male Rat Mesenteric Adipose Tissue: Obesity and Melatonin Effects
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(2), P. 577 - 577
Published: Jan. 11, 2025
Melatonin
is
involved
in
various
functions
such
as
the
timing
of
circadian
rhythms,
energy
metabolism,
and
body
mass
gain
experimental
animals.
However,
its
effects
on
adipose
tissue
lipid
metabolism
are
still
unclear.
This
study
analyzes
melatonin
relative
gene
expression
lipolytic
proteins
rat
mesenteric
free
fatty
acid
(FFA)
glycerol
plasma
levels
male
Wistar
rats
fed
a
high-fat
(HFD)
or
maintenance
diet.
Four
groups
were
established:
control,
obese,
control
obese
plus
2.3
mg/kg/day
tap
water.
After
11
weeks,
animals
sacrificed
at
different
times
throughout
24
h
cycle,
samples
collected
analyzed.
Cgi58,
Perilipin,
Dgat1
expression,
well
FFA
concentrations,
showed
rhythm
patterns
group.
HFD
disrupted
those
increased
concentrations
during
dark
photoperiod.
In
both
melatonin-treated
groups,
almost
all
analyzed
genes
patterns.
Notably,
significantly
prevented
increase
photoperiod
(obese
group:
~1100
mM
vs.
+
~600
μM,
similar
to
levels).
rhythmic
pattern
observed
was
not
sustained.
According
our
results,
could
regulate
transcription
lipolysis
proteins.
The
effect
preventing
elevated
associated
with
diet
intake
warrants
further
investigation.
Language: Английский
Circadian Rhythm Desynchrony and Its Correlation with Insulin Resistance in Type 2 Diabetes
Rupama Samaddar,
No information about this author
Vibha Rani,
No information about this author
Hariom Yadav
No information about this author
et al.
Indian Journal of Clinical Biochemistry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 11, 2025
Language: Английский
Molecular Links Between Circadian Rhythm Disruption, Melatonin, and Neurodegenerative Diseases: An Updated Review
Molecules,
Journal Year:
2025,
Volume and Issue:
30(9), P. 1888 - 1888
Published: April 23, 2025
Circadian
rhythms
are
molecular
oscillations
governed
by
transcriptional–translational
feedback
loops
(TTFLs)
operating
in
nearly
all
cell
types
and
fundamental
to
physiological
homeostasis.
Key
circadian
regulators,
such
as
locomotor
output
cycles
kaput
(CLOCK),
brain
muscle
ARNT-like
1
(BMAL1),
period
(PER),
cryptochrome
(CRY)
gene
families,
regulate
intracellular
metabolism,
oxidative
balance,
mitochondrial
function,
synaptic
plasticity.
disruption
is
known
a
central
contributor
the
pathophysiology
of
neurodegenerative
disorders.
Disease-specific
disruptions
clock
expression
melatoninergic
signaling
potential
early-stage
biomarkers.
Melatonin,
neurohormone
secreted
pineal
gland,
modulates
expression,
stability,
inflammatory
responses.
It
also
regulates
epigenetic
metabolic
processes
through
nuclear
receptors
regulators
involved
cellular
stress
pathways,
thereby
exerting
neuroprotective
effects
maintaining
neuronal
integrity.
This
review
provides
recent
findings
from
past
five
years,
highlighting
how
dysregulation
mediates
key
disturbances
translational
circadian-based
therapies
diseases.
Language: Английский
Impact of Shift Work and Job Category on Lifestyle Factors and Readiness to Change Among Hospital Workers: A Case-Control Study
Prathamesh Kamble,
No information about this author
Akshat Agarwal,
No information about this author
Ashwini Hedaoo
No information about this author
et al.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 28, 2024
Background:
Shift
work
is
essential
in
health
care
because
of
the
need
for
24-hour
services
but
it
associated
with
adverse
outcomes,
including
disrupted
circadian
rhythms,
poor
sleep,
unhealthy
dietary
habits,
and
increased
stress.
These
effects
may
differ
across
job
categories,
such
as
nursing
officers
hospital
support
staff,
owing
to
varying
physical
psychological
demands.
Limited
research
exists
on
how
shift
impacts
these
groups
differently,
particularly
regarding
readiness
change
lifestyle
behaviors.
Objectives:
This
study
aims
assess
compare
factors
six
domains
-
nutrition,
activity,
stress,
social
relationships,
addictions
between
staff
rotating
shifts
versus
fixed
daytime
duties.
It
also
evaluate
association
patterns
type
determine
influence
category
parameters
after
adjusting
confounders
demographics
body
composition.
Methodology:
A
case-control
was
conducted
at
All
India
Institute
Medical
Sciences
(AIIMS)
Nagpur
from
December
2023
June
2024.
The
involved
327
participants
(165
cases
162
controls)
comprising
nurses
aged
21-45
years.
case
group
included
83
84
working
least
three
years,
while
control
consisted
81
members
schedules.
General
assessments,
demographics,
composition
(InBody
770),
assessments
sleep
(Pittsburgh
Sleep
Quality
Index;
PSQI),
stress
(Perceived
Stress
Scale;
PSS-10),
connectivity
(Social
Support
Questionnaire),
alcohol
use
(a
modified
version
10-item
Alcohol
Use
Disorders
Identification
Test
(AUDIT-C))
were
performed.
Readiness
behaviors
assessed
using
stages
model.
Results:
workers
had
a
significantly
higher
weight
(p
=
0.030),
larger
waist
circumference
0.029),
calorie
intake
0.043)
than
non-shift
workers.
They
exhibited
lower
cardiovascular
fitness
0.021)
reduced
water
0.043).
Among
officers,
poorer
quality
0.003)
0.046).
levels
paradoxically
among
0.025)
not
staff.
did
all
domains.
Logistic
regression
showed
that
(odds
ratio
(OR):
6.503,
p
0.038),
no
significant
associations
found
other
parameters.
Conclusion:
highlights
composition,
intake,
fitness,
workers,
officers.
Despite
risks,
similar
suggesting
directly
motivation
changes.
findings
underscore
tailored
interventions
targeting
specific
challenges
improve
their
overall
well-being
productivity.
Language: Английский
Cardiometabolic Index is associated with heart failure: a cross-sectional study based on NHANES
Frontiers in Medicine,
Journal Year:
2024,
Volume and Issue:
11
Published: Dec. 9, 2024
Heart
failure
is
a
complex
syndrome
characterized
by
impaired
cardiac
function.
Despite
improvements
in
treatment,
the
prevalence
of
heart
continues
to
rise.
The
Cardiometabolic
Index
(CMI),
novel
measure
combining
abdominal
obesity
and
lipid
levels,
has
emerged
as
potential
predictor
metabolic
risk.
Language: Английский