Proteomic Approach to Study the Effect of Pneumocystis jirovecii Colonization in Idiopathic Pulmonary Fibrosis
Journal of Fungi,
Год журнала:
2025,
Номер
11(2), С. 102 - 102
Опубликована: Янв. 29, 2025
Idiopathic
pulmonary
fibrosis
(IPF)
is
a
chronic,
progressive,
and
interstitial
disease
with
an
unclear
cause,
believed
to
involve
genetic,
environmental,
molecular
factors.
Recent
research
suggested
that
Pneumocystis
jirovecii
(PJ)
could
contribute
exacerbations
severity.
This
article
explores
how
PJ
colonization
might
influence
the
pathogenesis
of
IPF.
We
performed
proteomic
analysis
study
profile
control
IPF
patients,
with/without
PJ.
recruited
nine
participants
from
Virgen
del
Rocio
University
Hospital
(Seville,
Spain).
iTRAQ
bioinformatics
analyses
were
identify
differentially
expressed
proteins
(DEPs),
including
functional
DEPs
protein–protein
interaction
networks
built
using
STRING
database.
identified
total
92
highlighting
protein
vimentin
when
comparing
groups.
Functional
differences
observed,
glycolysis
pathway
highlighted
in
PJ-colonized
patients;
as
well
pentose
phosphate
miR-133A
non-colonized
patients.
found
11
complexes,
notably
JAK-STAT
signaling
complex
To
our
knowledge,
this
first
analyzed
colonization’s
effect
on
However,
further
needed,
especially
interactions
AKT/GSK-3β/snail
explain
some
results.
Язык: Английский
Identification of ALDH2 as a novel target for the treatment of acute kidney injury in kidney transplantation based on WGCNA and machine learning algorithms and exploration of its potential mechanism of action using animal experiments
Frontiers in Immunology,
Год журнала:
2025,
Номер
16
Опубликована: Март 4, 2025
Background
Acute
kidney
injury
(AKI)
after
transplantation
is
one
of
the
main
causes
graft
loss
and
poor
patient
prognosis,
it
important
to
explore
new
targets
for
treating
AKI
in
transplantation.
Methods
Based
on
AKI-related
dataset
GSE30718,
most
relevant
modular
genes
among
them
were
firstly
screened
using
WGCNA
intersected
with
DEGs,
used
as
candidate
AKI.
Second,
machine
learning
algorithms
utilized
identify
key
them,
HPA
database
was
expression
landscape.
Next,
we
constructed
a
rat
renal
IRI
model
explored
role
IRI.
Finally,
combined
ssGSEA
enrichment
analysis
animal
experiments
further
validate
potential
mechanism
action
genes.
Results
In
total,
identified
98
417
which
yield
total
24
by
three
types
learning,
namely,
Random
Forest,
LASSO
regression
SVM,
obtained
1
gene
ALDH2,
Using
database,
found
that
ALDH2
has
high
level
tissues
mainly
located
tubular
epithelial
cells.
increasing
alleviated
impairment
function
decreased
NGAL,
marker
injury,
BAX,
an
apoptotic
protein,
well
reducing
inflammatory
factors
IL1β
IL6.
experiments,
able
inhibit
activation
MAPK
signaling
pathway.
Conclusion
may
serve
novel
target
treatment
AKI,
protective
effect
IRI,
this
be
achieved
inhibiting
Язык: Английский