A panel of six immune-related mRNAs as biomarkers for tuberculosis diagnosis
Yutong Wei,
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Zilu Wen,
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Qinghua Xue
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et al.
Frontiers in Genetics,
Journal Year:
2025,
Volume and Issue:
16
Published: March 20, 2025
Objective
This
study
aims
to
screen
common
immunological
markers
of
lung
tissues
and
blood
for
diagnosis
tuberculosis
(TB).
Methods
Differentially
expressed
miRNAs
(DEmRs)
mRNAs
(DEGs)
were
obtained
by
whole-transcriptome
sequencing
profiles
on
18F-FDG
PET/CT
high
low
metabolic
active
regions
in
nine
TB
patients.
Common
screened
intersecting
with
DEmRs,
four
miRNA
GEO
datasets,
their
target
predicted
through
the
miRTarbase
Tarbase
databases.
Then
these
intersected
DEGs,
from
samples
immune-related
genes,
construct
a
miRNA-mRNA
interaction
network,
hub
genes
identified
Cytoscape.
The
relationship
between
immune
infiltration
evaluated
using
Cibersort.
Finally,
diagnostic
model
based
Lasso
regression
analysis
was
established
validated
qRT-PCR.
Results
Five
both
tissues.
Six
(
NEDD4
,
PLTP
RNASEL
SEMA7A
TAPBP
THBS1
)
out.
A
30
pairs
(TB/health
volunteers).
AUC
6-mRNA
combination
0.79.
Conclusion
We
six
as
diagnosing
tuberculosis.
Language: Английский
The role of circular RNA in immune response to tuberculosis and its potential as a biomarker and therapeutic target
Min Cheol Hong,
No information about this author
Xu‐Feng Huang,
No information about this author
Huiming Zhu
No information about this author
et al.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: April 16, 2025
Circular
RNA
(circRNA)
is
a
new
type
of
non-coding
that
has
gained
significant
attention
in
recent
years,
especially
tuberculosis
research.
Tuberculosis
poses
major
global
public
health
threat.
Its
complex
pathological
mechanisms
and
worsening
drug
resistance
urgently
necessitate
research
breakthroughs.
The
role
circRNA
mycobacterium
infection
being
gradually
revealed,
highlighting
its
importance
regulating
gene
expression,
immune
response,
inflammation.
Additionally,
researchers
are
interested
because
potential
for
early
diagnosis
as
biomarker.
This
article
systematically
analyzes
existing
literature
to
provide
insights
into
personalized
treatment.
We
also
emphasize
the
need
future
enhance
application
prevention
control.
Language: Английский