Therapeutic potential of exosomal lncRNAs derived from stem cells in wound healing: focusing on mesenchymal stem cells
Ali Morabbi,
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Mohammad Karimian
No information about this author
Stem Cell Research & Therapy,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Feb. 11, 2025
The
self-renewal
ability
and
multipotency
of
stem
cells
give
them
great
potential
for
use
in
wound
healing.
Stem
cell-derived
exosomes,
owing
to
their
close
biological
resemblance
parent
cells,
offer
a
more
efficient,
safer,
economical
approach
facilitating
cellular
communication
interactions
within
different
environments.
This
makes
particularly
valuable
the
treatment
both
acute
chronic
wounds,
such
as
lacerations,
burns,
diabetic
ulcers.
Long
non-coding
RNAs
(lncRNAs)
enclosed
one
leading
actors
these
extracellular
microvesicles,
through
interaction
with
miRNAs
regulation
various
signaling
pathways
involved
inflammation,
angiogenesis,
cell
proliferation,
migration,
could
heal
wounds.
Exosome-derived
lncRNAs
from
facilitate
matrix
remodeling
between
macrophages
fibroblasts.
Moreover,
alongside
regulating
expression
inflammatory
cytokines,
controlling
reactive
oxygen
species
levels,
enhancing
autophagic
activity,
they
also
modulate
immune
responses
support
Regulating
genes
related
by
increasing
blood
supply
accelerating
delivery
essential
substances
environment,
is
another
effect
exosomal
derived
These
can
enhance
skin
healing
homeostasis,
proliferation
differentiation
wound-healing
process,
fibroblast
viability
migration
injury
site.
Ultimately,
exosome-derived
novel
insights
into
molecular
mechanisms
underlying
improved
They
pave
way
therapeutic
strategies,
fostering
further
research
better
future.
Meanwhile,
exosomes
mesenchymal
due
exceptional
regenerative
properties,
well
have
emerged
innovative
tools
review
article
aims
narrate
roles
focus
on
cells.
Language: Английский
Mapping the rapid growth of multi-omics in tumor immunotherapy: Bibliometric evidence of technology convergence and paradigm shifts
Huijing Dong,
No information about this author
Xinmeng Wang,
No information about this author
Yumin Zheng
No information about this author
et al.
Human Vaccines & Immunotherapeutics,
Journal Year:
2025,
Volume and Issue:
21(1)
Published: April 24, 2025
This
study
aims
to
fill
the
knowledge
gap
in
systematically
mapping
evolution
of
omics-driven
tumor
immunotherapy
research
through
a
bibliometric
lens.
While
omics
technologies
(genomics,
transcriptomics,
proteomics,
metabolomics)provide
multidimensional
molecular
profiling,
their
synergistic
potential
with
remains
underexplored
large-scale
trend
analyses.
A
comprehensive
search
was
conducted
using
Web
Science
Core
Collection
for
literature
related
immunotherapy,
up
August
2024.
Bibliometric
analyses,
R
version
4.3.3,
VOSviewer
1.6.20,
and
Citespace
6.2,
examined
publication
trends,
country
institutional
contributions,
journal
distributions,
keyword
co-occurrence,
citation
bursts.
analysis
9,494
publications
demonstrates
rapid
growth
since
2019,
China
leading
output
(63%
articles)
yet
exhibiting
limited
multinational
collaboration
(7.9%
vs.
UK's
61.8%).
Keyword
co-occurrence
burst
analyses
reveal
evolving
frontiers:
early
emphasis
on
"PD-1/CTLA-4
blockade"
has
transitioned
toward
"machine
learning,"
"multi-omics,"
"lncRNA,"
reflecting
shift
predictive
modeling
biomarker
discovery.
Multi-omics
integration
facilitated
development
immune
infiltration-based
prognostic
models,
such
as
TIME
subtypes,
which
have
been
validated
across
multiple
types,
inform
clinical
trial
design
(e.g.
NCT06833723).
Additionally,
proteomic
melanoma
patients
suggests
that
metabolic
biomarkers,
particularly
oxidative
phosphorylation
lipid
metabolism,
may
stratify
responders
PD-1
blockade
therapy.
Moreover,
spatial
confirmed
ENPP1
novel
therapeutic
target
Ewing
sarcoma.
Citation
trends
underscore
translation,
mutation-guided
therapies.
Omics
are
transforming
by
enhancing
discovery
improving
predictions.
Future
advancements
will
necessitate
longitudinal
monitoring,
AI-driven
multi-omics
integration,
international
accelerate
translation.
presents
systematic
framework
exploring
emerging
frontiers
offers
insights
optimizing
precision-driven
immunotherapy.
Language: Английский