Expression Profiles of lncRNAs and mRNAs in the Mouse Brain Infected with Pseudorabies Virus: A Bioinformatic Analysis
Y. Li,
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Teng Tu,
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Yan Luo
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et al.
Viruses,
Journal Year:
2025,
Volume and Issue:
17(4), P. 580 - 580
Published: April 17, 2025
Pseudorabies
virus
(PRV)
is
a
pathogen
that
causes
severe
neurological
dysfunction
in
the
host,
leading
to
extensive
neuronal
damage
and
inflammation.
Despite
research
on
neuropathogenesis
of
α-herpesvirus
infections,
many
scientific
questions
remain
unresolved,
such
as
largely
unknown
functions
long
non-coding
RNAs
(lncRNAs)
herpesvirus-infected
nervous
systems.
To
address
these
questions,
we
used
RNA
sequencing
(RNA-seq)
investigate
expression
profiles
lncRNAs
mRNAs
brains
mice
infected
with
PRV.
Through
bioinformatic
analysis,
identified
316
differentially
expressed
886
mRNAs.
We
predicted
biological
using
Gene
Ontology
(GO)
Kyoto
Encyclopedia
Genes
Genomes
(KEGG)
databases,
results
showed
transcripts
were
mainly
involved
innate
immune
response.
Finally,
validated
differential
trends
quantitative
real-time
PCR
(q-PCR),
which
consistent
data.
our
knowledge,
this
first
report
analyzing
lncRNA
profile
central
system
(CNS)
Our
findings
provide
new
insights
into
roles
during
PRV
infection
host
CNS.
Language: Английский
Hierarchical chitin and chitosan-derived heterostructural nanocomposites: From interdisciplinary applications to a sustainable vision
Le Gia Trung,
No information about this author
Jin Seog Gwag,
No information about this author
Ha Huu
No information about this author
et al.
Carbohydrate Polymers,
Journal Year:
2025,
Volume and Issue:
362, P. 123702 - 123702
Published: May 5, 2025
Language: Английский
Role of Artificial Intelligence and Personalized Medicine in Enhancing HIV Management and Treatment Outcomes
Life,
Journal Year:
2025,
Volume and Issue:
15(5), P. 745 - 745
Published: May 6, 2025
The
integration
of
artificial
intelligence
and
personalized
medicine
is
transforming
HIV
management
by
enhancing
diagnostics,
treatment
optimization,
disease
monitoring.
Advances
in
machine
learning,
deep
neural
networks,
multi-omics
data
analysis
enable
precise
prognostication,
tailored
antiretroviral
therapy,
early
detection
drug
resistance.
AI-driven
models
analyze
vast
genomic,
proteomic,
clinical
datasets
to
refine
strategies,
predict
progression,
pre-empt
therapy
failures.
Additionally,
AI-powered
diagnostic
tools,
including
learning
imaging
natural
language
processing,
improve
screening
accuracy,
particularly
resource-limited
settings.
Despite
these
innovations,
challenges
such
as
privacy,
algorithmic
bias,
the
need
for
validation
remain.
Successful
AI
into
care
requires
robust
regulatory
frameworks,
interdisciplinary
collaboration,
equitable
technology
access.
This
review
explores
both
potential
limitations
management,
emphasizing
ethical
implementation
expanded
research
maximize
its
impact.
approaches
hold
great
promise
a
more
personalized,
efficient,
effective
future
care.
Language: Английский
Transformative protein scaffold designs for dual-modality cancer applications: Advances in therapeutic delivery and molecular imaging of tumor microenvironments
International Journal of Biological Macromolecules,
Journal Year:
2025,
Volume and Issue:
unknown, P. 144881 - 144881
Published: June 1, 2025
Language: Английский