Aging Medicine,
Journal Year:
2024,
Volume and Issue:
7(6), P. 689 - 698
Published: Dec. 1, 2024
Abstract
Objectives
This
study
aimed
to
determine
whether
type
2
diabetes
(T2D)
is
an
independent
risk
factor
for
sleep
disorders
in
the
elderly
and
explore
possible
intestinal
flora
factors
of
combined
with
T2D
this
population.
Methods
All
hospitalized
patients
aged
≥65
years
between
June
November
2023
were
retrospectively
analyzed,
they
divided
into
a
disorder
group
(
n
=
134)
control
109).
The
logistic
regression
method
was
utilized
clarify
causal
relationship
disorders.
For
stool
analyses,
42
randomly
extracted,
which
included
14),
(ESdD)
14).
composition
feature
metabolomics
ESdD
described
through
high‐throughput
16S
rDNA
sequencing
nontargeted
analysis
based
on
liquid
chromatography–mass
spectrometry.
Results
Gender,
body
mass
index
(BMI),
T2D,
discomfort,
anxiety
depression
elderly.
Notably,
older
individuals
3.3
times
more
likely
experience
than
normal
individuals.
Compared
group,
had
decreased
relative
abundance
Barnesiella
Marvinbryantia
,
47
metabolites
upregulated
53
downregulated.
showed
decrease
Lachnospiraceae_UCG_010
62
43
downregulated,
compared
group.
Conclusions
Diabetes
patients.
Variations
metabolism
significantly
influence
onset
progression
Frontiers in Plant Science,
Journal Year:
2024,
Volume and Issue:
15
Published: June 21, 2024
(QF)
is
a
traditional
Chinese
medicine
(TCM)
that
it
has
long
history
in
the
therapeutic
field
of
killing
parasites,
eliminating
accumulation,
and
stopping
diarrhea.
However,
material
basis
QF
remaining
ambiguous
nowadays.
The
geographical
origin
differences
are
also
usually
ignored
process
medication.
In
this
study,
alcohol-aqueous
soluble
constituents
from
different
origins
were
systematically
characterized
accurately
measured
by
ultra-high
performance
liquid
chromatography
coupled
to
quadrupole-time-of-flight
mass
spectrometry
(UPLC-Q-TOF-MS)
high-performance
(HPLC)
respectively.
Chemometric
analysis
was
performed
for
differentiation
screening
potential
quality
marker
(Q-marker).
Finally,
A
total
106
tentatively
positive
negative
ion
modes,
including
29
fatty
acids,
26
organic
11
amino
acids
derivatives,
10
glycosides,
9
alkaloids
21
other
constituents.
effectively
distinguished
16
selected
as
Q-markers
subsequently.
Four
representative
components
(trigonelline,
adenosine,
ellagic
acid,
3,3'-di-O-methylellagic
acid)
samples
simultaneously
determined.
HPLC
fingerprint
indicated
similarity
between
batches
range
0.870-0.999.
above
results
provide
some
insights
research
on
pharmacodynamic
constituents,
control,
discrimination
QF.
BJPsych International,
Journal Year:
2024,
Volume and Issue:
21(1), P. 21 - 23
Published: Jan. 19, 2024
An
abstract
is
not
available
for
this
content.
As
you
have
access
to
content,
full
HTML
content
provided
on
page.
A
PDF
of
also
in
through
the
‘Save
PDF’
action
button.
Aging Medicine,
Journal Year:
2024,
Volume and Issue:
7(6), P. 689 - 698
Published: Dec. 1, 2024
Abstract
Objectives
This
study
aimed
to
determine
whether
type
2
diabetes
(T2D)
is
an
independent
risk
factor
for
sleep
disorders
in
the
elderly
and
explore
possible
intestinal
flora
factors
of
combined
with
T2D
this
population.
Methods
All
hospitalized
patients
aged
≥65
years
between
June
November
2023
were
retrospectively
analyzed,
they
divided
into
a
disorder
group
(
n
=
134)
control
109).
The
logistic
regression
method
was
utilized
clarify
causal
relationship
disorders.
For
stool
analyses,
42
randomly
extracted,
which
included
14),
(ESdD)
14).
composition
feature
metabolomics
ESdD
described
through
high‐throughput
16S
rDNA
sequencing
nontargeted
analysis
based
on
liquid
chromatography–mass
spectrometry.
Results
Gender,
body
mass
index
(BMI),
T2D,
discomfort,
anxiety
depression
elderly.
Notably,
older
individuals
3.3
times
more
likely
experience
than
normal
individuals.
Compared
group,
had
decreased
relative
abundance
Barnesiella
Marvinbryantia
,
47
metabolites
upregulated
53
downregulated.
showed
decrease
Lachnospiraceae_UCG_010
62
43
downregulated,
compared
group.
Conclusions
Diabetes
patients.
Variations
metabolism
significantly
influence
onset
progression
