Analysis of Personalized Cardiovascular Drug Therapy: From Monitoring Technologies to Data Integration and Future Perspectives
Runxing Lin,
No information about this author
Ziyu Huang,
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Yu Liu
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et al.
Biosensors,
Journal Year:
2025,
Volume and Issue:
15(3), P. 191 - 191
Published: March 17, 2025
Cardiovascular
diseases
have
long
been
a
major
challenge
to
human
health,
and
the
treatment
differences
caused
by
individual
variability
remain
unresolved.
In
recent
years,
personalized
cardiovascular
drug
therapy
has
attracted
widespread
attention.
This
paper
reviews
strategies
for
achieving
through
traditional
dynamic
monitoring
multidimensional
data
integration
analysis.
It
focuses
on
key
technologies
monitoring,
based
differences,
By
systematically
reviewing
relevant
literature,
main
challenges
in
current
research
proposed
potential
directions
future
studies
were
summarized.
Language: Английский
Brain organoids-on-chip for neural diseases modeling: History, challenges and trends
Journal of Pharmaceutical Analysis,
Journal Year:
2025,
Volume and Issue:
unknown, P. 101323 - 101323
Published: April 1, 2025
Language: Английский
Organotypic on-chip models: Bridging the gap between traditional in vitro culture and animal testing
Elsevier eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 3 - 10
Published: Jan. 1, 2025
Language: Английский
Recent Advances in Microfluidic Technologies for Stimuli-Sensitive Alginate Particles: Applications in Biosensing and Drug Delivery
Aliakbar Ebrahimiverkiani,
No information about this author
Seyed Morteza Naghib,
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Ghobad Shafiei Sabet
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et al.
TrAC Trends in Analytical Chemistry,
Journal Year:
2024,
Volume and Issue:
unknown, P. 118124 - 118124
Published: Dec. 1, 2024
Language: Английский
Determination of Stable Reference Genes for Gene Expression Analysis in Black Rockfish (Sebastes schlegeli) Under Hypoxia Stress
Xiatian Chen,
No information about this author
Yujie Yu,
No information about this author
Tao Gao
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et al.
Genes,
Journal Year:
2024,
Volume and Issue:
16(1), P. 9 - 9
Published: Dec. 25, 2024
Hypoxia
triggers
stress,
leading
to
significant
alterations
in
gene
expression
patterns,
which
turn
affect
fish's
growth
and
development.
Real-time
quantitative
PCR
(RT-qPCR)
is
a
pivotal
technique
for
assessing
changes
expression.
However,
its
accuracy
highly
contingent
upon
the
stable
of
reference
genes.
Ribosomal
RNA
(18s),
β-actin
(actb),
elongation
factor
1-α
(ef1a),
α
tubulin
(tuba),
ribosomal
protein
L17
(rpl17)
are
widely
used
genes,
but
their
stability
tissues
black
rockfish
under
hypoxic
conditions
remains
unclear.
The
genes
was
detected
by
RT-qPCR
assessed
Delta
Ct,
geNorm,
NormFinder,
BestKeeper
algorithms.
Results
showed
that
tuba
exhibited
liver,
heart,
gill
normoxic
conditions,
liver
head
kidney
conditions.
Ef1a
identified
as
most
stably
expressed
tissue
hypoxia.
For
heart
studies,
rpl17
were
recommended
18s
high
spleen
Actb
tissue-specific
stability,
it
necessary
select
appropriate
based
on
specific
type
studies
These
findings
help
enhancing
analysis
mechanism
hypoxia
rockfish.
Language: Английский