Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 10, 2024
Abstract
Triglyceride
glycemic-body
mass
index
(TyG-BMI)
is
a
simple
and
reliable
surrogate
for
insulin
resistance
(IR).
However,
it
still
unclear
if
TyG-BMI
has
any
predictive
value
in
patients
having
percutaneous
coronary
intervention
(PCI)
ST-segment
elevation
myocardial
infarction
(STEMI).
The
purpose
of
this
study
was
to
examine
the
index's
prognostic
significance
power
with
STEMI.
comprised
total
2648
consecutive
STEMI
who
underwent
PCI.
primary
endpoint
occurrence
major
adverse
cardiovascular
events
(MACE),
defined
as
combination
all-cause
death,
nonfatal
infarction,
stroke,
revascularization.
formulated
ln
[fasting
triglycerides
(mg/dL)
×
fasting
plasma
glucose
(mg/dL)/2]
BMI.
193
all
experienced
MACE
over
median
follow-up
14.7
months.
There
statistically
significant
difference
between
Kaplan–Meier
survival
curves
tertiles
(log-rank
test,
p
=
0.019)
cumulative
incidence
MACE.
adjusted
HRs
middle
highest
quartiles
compared
lowest
quartile
were
1.37
(95%
CI
0.92,
2.03)
1.53
1.02,
2.29),
respectively,
fully
Cox
regression
model.
At
six
months,
one
year,
three
years,
area
under
curve
(AUC)
predicting
0.691,
0.666,
0.637,
respectively.
Additionally,
adding
risk
prediction
model
enhanced
outcome
prediction.
In
undergoing
PCI,
independently
linked
could
be
solid
way
assess
prognosis.
BMC Psychiatry,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: March 14, 2025
Growing
evidence
indicates
a
link
between
insulin
resistance
and
post-stroke
depression
(PSD).
This
study
employed
the
triglyceride
glucose
(TyG)
index
as
measure
of
to
investigate
its
relationship
with
PSD.
cross-sectional
utilized
data
from
National
Health
Nutrition
Examination
Survey
(2005–2018).
PSD
was
assessed
using
patient
health
questionnaires,
while
TyG
calculated
based
on
fasting
venous
blood
levels.
The
formula
used
for
is
ln[triglycerides
(mg/dL)
×
(mg/dL)/2].
Participants
were
categorized
into
four
groups
according
quartiles.
A
weighted
multivariable
logistic
regression
model
applied
examine
total
1217
patients
included
in
study,
which
232
diagnosed
divided
quartiles
(Q1-Q4)
analysis.
After
adjusting
potential
confounders,
we
found
significant
positive
association
highest
quartile
(Q4:
≥9.33)
(OR
=
2.51,
95%
CI:
1.04–6.07,
p
0.041).
suggests
that
U.S.
adult
stroke
population,
individuals
higher
indices
are
more
likely
experience
depressive
symptoms.
Subgroup
analysis
further
confirmed
stable
independent
(all
trend
>
0.05).
In
this
large
our
results
suggest
among
US
adults
who
have
experienced
stroke,
those
levels
exhibit
provides
novel
approach
clinical
prevention
Patients
population
may
require
closer
psychological
monitoring
timely
intervention.
Additionally,
since
only
levels,
it
can
help
identify
high-risk
patients,
particularly
regions
limited
healthcare
resources.
Ageing Research Reviews,
Journal Year:
2022,
Volume and Issue:
83, P. 101805 - 101805
Published: Nov. 21, 2022
Major
depressive
disorder
(MDD)
is
characterized
by
psychological
and
physiological
manifestations
contributing
to
the
disease
severity
outcome.
In
recent
years,
several
lines
of
evidence
have
suggested
that
individuals
with
MDD
an
elevated
risk
age-related
adverse
outcomes
across
lifespan.
This
review
provided
a
significant
overlap
between
biological
abnormalities
in
changes
commonly
observed
during
aging
process
(i.e.,
hallmarks
aging).
Based
on
such
evidence,
we
formulate
mechanistic
model
showing
how
can
be
common
denominator
mediate
health
MDD.
Finally,
proposed
roadmap
for
novel
studies
investigate
intersection
biology
MDD,
including
use
geroscience-guided
interventions,
as
senolytics,
delay
or
improve
major
depression
targeting
aging.
Current Issues in Molecular Biology,
Journal Year:
2023,
Volume and Issue:
45(10), P. 7845 - 7861
Published: Sept. 27, 2023
Insulin
resistance
is
the
main
mechanism
in
a
whole
series
of
pathological
conditions,
which
are
not
only
metabolic
interest
but
also
systemic
type.
This
phenomenon
means
that
body’s
cells
become
less
sensitive
to
hormone
insulin,
leading
higher
levels
insulin
blood.
can
be
found
both
men
and
women
particular,
latter,
it
mainly
after
menopause.
Premenopause,
hormonal
fluctuations
during
menstrual
cycle,
presence
estrogen
affect
sensitivity.
Androgens,
such
as
testosterone,
typically
contribute
resistance.
In
sexes,
different
human
body
types
distribution
location
fat,
influencing
development
diabetes
cardiovascular
disease.
associated
with
some
neurological
neurogenerative
disorders,
polycystic
ovary
syndrome,
atherosclerosis,
neoplastic
pathologies.
A
healthy
lifestyle,
including
regular
physical
activity,
balanced
diet,
self-maintenance,
help
prevent
onset
resistance,
regardless
gender,
although
habits
between
greatly
implementation
preventative
guidelines
fighting
manifestations
this
disorder.
review
may
shed
light
on
gender
differences
diseases
by
placing
necessary
focus
personalized
medical
management
inspiring
differentiated
therapeutic
approaches.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 10, 2024
Abstract
Triglyceride
glycemic-body
mass
index
(TyG-BMI)
is
a
simple
and
reliable
surrogate
for
insulin
resistance
(IR).
However,
it
still
unclear
if
TyG-BMI
has
any
predictive
value
in
patients
having
percutaneous
coronary
intervention
(PCI)
ST-segment
elevation
myocardial
infarction
(STEMI).
The
purpose
of
this
study
was
to
examine
the
index's
prognostic
significance
power
with
STEMI.
comprised
total
2648
consecutive
STEMI
who
underwent
PCI.
primary
endpoint
occurrence
major
adverse
cardiovascular
events
(MACE),
defined
as
combination
all-cause
death,
nonfatal
infarction,
stroke,
revascularization.
formulated
ln
[fasting
triglycerides
(mg/dL)
×
fasting
plasma
glucose
(mg/dL)/2]
BMI.
193
all
experienced
MACE
over
median
follow-up
14.7
months.
There
statistically
significant
difference
between
Kaplan–Meier
survival
curves
tertiles
(log-rank
test,
p
=
0.019)
cumulative
incidence
MACE.
adjusted
HRs
middle
highest
quartiles
compared
lowest
quartile
were
1.37
(95%
CI
0.92,
2.03)
1.53
1.02,
2.29),
respectively,
fully
Cox
regression
model.
At
six
months,
one
year,
three
years,
area
under
curve
(AUC)
predicting
0.691,
0.666,
0.637,
respectively.
Additionally,
adding
risk
prediction
model
enhanced
outcome
prediction.
In
undergoing
PCI,
independently
linked
could
be
solid
way
assess
prognosis.