Untargeted metabolomic and proteomic analysis implicates SIRT2 as a novel therapeutic target for diabetic nephropathy
Ruijing Zhang,
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Runze Chang,
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Heng Wang
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et al.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 4, 2025
Diabetic
nephropathy
(DN)
is
one
of
the
major
causes
end-stage
renal
disease.
This
study
aimed
to
explore
internal
relationship
between
metabolic
processes
and
autoimmune
responses
in
patients
with
DN
via
untargeted
metabolomics
Olink
proteomics.
The
serum
10
who
were
diagnosed
healthy
individuals
Animal
models
used
validate
characterized
genes.
Correlation
analysis
differentially
abundant
metabolites
expressed
proteins
revealed
that
SIRT2
might
be
a
key
hub
linking
energy
metabolism
innate
immune
responses.
KEGG
enrichment
showed
HIF-1
signaling
pathway
cell
carcinoma
co-enriched
pathways
inflammatory
response.
VEGFA
plays
vital
role
these
two
pathways.
ability
regulate
expression
has
been
demonstrated.
In
vivo
experiments
SIRT2,
VEGFA,
HIF-1α
highly
kidneys
mice
diabetic
nephropathy.
conclusion,
our
combines
proteomics
provide
valuable
insights
into
synergistic
roles
disorders
DN.
data
suggest
may
target
affecting
processes.
Language: Английский
Clinical metabolomics: useful insights, perspectives and challenges
Metabolism Open,
Journal Year:
2024,
Volume and Issue:
22, P. 100290 - 100290
Published: May 31, 2024
Metabolomics,
a
cutting-edge
omics
technique,
is
rapidly
advancing
field
in
biomedical
research,
concentrating
on
the
elucidation
of
pathogenetic
mechanisms
and
discovery
novel
metabolite
signatures
predictive
disease
risk,
aiding
earlier
detection,
prognosis
prediction
treatment
response.
The
capacity
this
approach
to
simultaneously
quantify
thousands
metabolites,
i.e.
small
molecules
less
than
1500
Da
samples,
positions
it
as
promising
tool
for
research
clinical
applications
personalized
medicine.
Clinical
metabolomics
studies
have
proven
valuable
understanding
cardiometabolic
disorders,
potentially
uncovering
diagnostic
biomarkers
risk.
Liquid
chromatography-mass
spectrometry
predominant
analytical
method
used
metabolomics,
particularly
untargeted.
Metabolomics
combined
with
extensive
genomic
data,
proteomics,
chemistry
imaging,
health
records,
other
pertinent
health-related
data
may
yield
significant
advances
beneficial
both
public
initiatives,
precision
medicine,
rare
disorders
multimorbidity.
This
special
issue
has
gathered
original
articles
topics
related
well
articles,
reviews,
perspectives
highlights
broader
translational
metabolic
research.
Additional
necessary
identify
which
metabolites
consistently
enhance
risk
across
various
populations
are
causally
linked
progression.
Language: Английский
Steps to understanding diabetes kidney disease: a focus on metabolomics
The Korean Journal of Internal Medicine,
Journal Year:
2024,
Volume and Issue:
39(6), P. 898 - 905
Published: Oct. 22, 2024
Diabetic
nephropathy
(DN),
a
leading
cause
of
chronic
kidney
disease
and
end-stage
(ESKD),
poses
global
health
challenges
given
its
increasing
prevalence.
DN
increases
the
risk
mortality
cardiovascular
events.
Early
identification
appropriate
management
are
crucial.
However,
current
diagnostic
methods
rely
on
general
traditional
markers,
highlighting
need
for
DN-specific
diagnostics.
Metabolomics,
study
small
molecules
produced
by
metabolic
activity,
promises
to
identify
specific
biomarkers
that
distinguish
from
other
diseases,
decode
underlying
mechanisms,
predict
course.
Profound
changes
in
pathways
apparent
individuals
with
DN,
alterations
tricarboxylic
acid
cycle
amino
lipid
metabolism,
suggestive
mitochondrial
dysfunction.
Metabolomics
aids
prediction
progression;
several
metabolites
serve
as
indicators
renal
functional
decline
ESKD.
Integration
such
information
omics
data
will
further
enhance
our
understanding
paving
way
personalized
treatment.
In
summary,
metabolomics
multi-omics
offer
valuable
insights
into
promising
prognostic
tools.
Language: Английский