Potential Mechanism and Perspectives of Mesenchymal Stem Cell Therapy for Ischemic Stroke: A Review
Pengcheng Zhu,
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Hongtu Tan,
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Haobo Gao
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et al.
Global Medical Genetics,
Journal Year:
2024,
Volume and Issue:
11(04), P. 278 - 284
Published: Sept. 2, 2024
Abstract
Mesenchymal
stem
cells
(MSCs),
as
a
cell
type
with
multiple
differentiation
potentials
and
immune
regulatory
abilities,
have
shown
broad
prospects
in
the
treatment
of
ischemic
stroke
recent
years.
The
main
characteristics
MSCs
include
their
self-renewal
ability,
potential
for
different
types
cells,
ability
to
secrete
various
bioactive
factors
such
cytokines,
chemokines,
growth
factors,
which
play
key
role
tissue
repair
regeneration.
In
stroke,
exert
therapeutic
effects
through
mechanisms,
including
promoting
vascular
regeneration
damaged
brain
tissue,
reducing
inflammatory
responses,
protecting
neurons
from
damage
caused
by
apoptosis.
Research
that
can
promote
areas
releasing
neurotrophic
angiogenic
while
inhibiting
responses
triggered
ischemia,
thereby
improving
neurological
function.
With
in-depth
study
its
biological
mechanism,
gradually
good
safety
effectiveness
clinical
applications.
Therefore,
fully
exploring
utilizing
may
provide
new
ideas
solutions
future
neural
regenerative
medicine.
Language: Английский
Threshold of PAGln Changes: Exponential Growth Between Age and Gut Microbiota in Stroke Patients
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 18, 2024
Abstract
Importance
PAGln,
a
gut
microbiota-derived
metabolite,
is
linked
to
increased
platelet
reactivity
and
thrombosis
risk.
However,
its
relationship
with
age,
particularly
the
nonlinear
patterns
in
ischemic
stroke
patients,
remains
unclear.
Objectives
To
explore
between
age
plasma
PAGln
levels
focusing
on
identifying
exponential
growth
trends
critical
thresholds.
Design,
Setting,
Participants
This
single-center,
prospective
cohort
study
was
conducted
at
Department
of
Neurology,
Minhang
Hospital,
Fudan
University,
from
January
2022
December
2023.
A
total
121
patients
were
consecutively
enrolled.
Demographic
information,
lifestyle
factors,
characteristics,
comorbidities
systematically
collected.
Plasma
measured
using
rapid
resolution
liquid
chromatography–quadrupole
time-of-flight
mass
spectrometry.
Generalized
additive
models
smoothing
curve
fitting
applied
assess
relationships
levels,
threshold
effect
analysis
used
identify
breakpoints.
Multivariable
regression
adjust
for
confounders,
subgroup
analyses
tested
robustness
findings.
Main
Outcomes
Measures
Plasma
their
association
evaluated
through
analysis.
Results
Significant
differences
found
across
quartiles
(P=0.004),
rising
186.87
±
95.49
µmol/L
youngest
quartile
(33–54
years)
433.11
474.03
oldest
(69–87
years).
identified
(P=0.0006).
Smoothing
revealed
an
increase
age.
pinpointed
breakpoint
71
years.
Below
this
no
significant
observed
(P=0.5394),
while
above
71,
detected
(P<0.0001).
Subgroup
confirmed
consistent
results
various
patient
interactions.
Conclusions
Relevance
A
exists
marked
after
Elevated
elderly
suggest
metabolic
dysregulation,
potentially
raising
Monitoring
over
years
could
provide
valuable
insights
personalized
interventions
reduce
thrombotic
complications.
Language: Английский
Zebrafish navigating the metabolic maze: insights into human disease – assets, challenges and future implications
Chandrashekar Yashaswini,
No information about this author
Neelakanta Sarvashiva Kiran,
No information about this author
Ankita Chatterjee
No information about this author
et al.
Journal of Diabetes & Metabolic Disorders,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: Dec. 16, 2024
Language: Английский