Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 25, 2023
Abstract
Systemic
lupus
erythematosus
(SLE)
is
an
autoimmune
disease.
The
pathogenesis
of
SLE
remains
unclear,
and
the
aim
this
study
was
to
identify
novel
biomarkers
SLE.
First,
key
modules
cell
clusters
for
trait
sample
grouping
were
screened
by
weighted
gene
coexpression
network
analysis
(WGCNA).
differentially
expressed
genes
(DEGs)
between
normal
samples
in
GSE72326
screened.
candidate
obtained
overlapping
DEGs,
module
genes,
marker
clusters.
random
forest
algorithm
executed
based
on
top
5
selected
as
hub
genes.
In
addition,
set
enrichment
(GSEA)
performed.
Finally,
expression
validation,
methylation
analysis,
immunoinfiltration
completed.
A
total
90
DEGs
control
dataset.
By
(TNFSF13B,
FCGR1A,
TNFSF10,
ISG15,
LAP3)
obtained.
GSEA
revealed
that
TNFSF13B
FCGR1A
involved
primary
immunodeficiency,
cytosolic
DNA
sensing
pathway,
ribosome,
LAP3
related
pyruvate
metabolism,
complement
coagulation
cascade.
TNFSF13B,
identified
SLE,
which
provides
a
new
perspective
Purpose
:
Patients
methods
Results
Conclusion
Biomedicines,
Journal Year:
2024,
Volume and Issue:
12(6), P. 1275 - 1275
Published: June 8, 2024
Given
the
growing
global
threat
and
rising
prevalence
of
type
2
diabetes
mellitus
(T2DM),
addressing
this
metabolic
disease
is
imperative.
T2DM
preceded
by
prediabetes
(PD),
an
intermediate
hyperglycaemia
that
goes
unnoticed
for
years
in
patients.
Several
studies
have
shown
gut
microbial
diversity
glucose
homeostasis
PD
or
patients
are
affected.
Therefore,
review
aims
to
synthesize
existing
literature
elucidate
association
between
high-calorie
diets,
intestinal
permeability
their
correlation
with
T2DM.
Moreover,
it
discusses
beneficial
effects
different
dietary
interventions
on
improving
health
metabolism.
The
primary
factor
contributing
complications
seen
chronic
consumption
which
alters
composition
increases
translocation
toxic
substances
from
lumen
into
bloodstream.
This
causes
increase
inflammatory
response
further
impairs
regulation.
approaches
been
implemented.
However,
only
a
few
currently
use
promising
results
microbiomes
additional
well-designed
still
necessary
thoroughly
investigate
whether
using
other
types
can
potentially
manage
reverse
PD,
thereby
preventing
onset
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(19), P. 10611 - 10611
Published: Oct. 2, 2024
Type
1
Diabetes
Mellitus
(T1DM)
is
a
chronic
autoimmune
disease
that
results
in
the
destruction
of
pancreatic
β
cells,
leading
to
hyperglycaemia
and
need
for
lifelong
insulin
therapy.
Although
genetic
predisposition
environmental
factors
are
considered
key
contributors
T1DM,
exact
causes
remain
partially
unclear.
Recent
evidence
has
focused
on
relationship
between
gut,
oral
cavity,
immune
regulation,
systemic
inflammation.
In
individuals
with
changes
gut
microbial
composition
commonly
observed,
indicating
dysbiosis
may
contribute
dysregulation.
Gut
can
influence
system
through
increased
intestinal
permeability,
altered
production
short
chain
fatty
acids
(SCFAs),
interactions
mucosal
system,
potentially
triggering
response.
Similarly,
development
inflammation
thus
progression
T1DM.
A
comprehensive
understanding
these
relationships
essential
identification
biomarkers
early
diagnosis
monitoring,
as
well
therapies
aimed
at
restoring
balance.
This
review
presents
synthesis
current
research
connection
T1DM
microbiome
dysbiosis,
focus
microbiomes
pediatric
populations.
It
explores
potential
mechanisms
by
which
contributes
pathogenesis
examines
microbiome-based
therapies,
including
probiotics,
prebiotics,
synbiotics,
faecal
microbiota
transplantation
(FMT).
complex
highlights
longitudinal
studies
monitor
over
time,
investigate
causal
specific
species
develop
personalised
medicine
approaches.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 25, 2023
Abstract
Systemic
lupus
erythematosus
(SLE)
is
an
autoimmune
disease.
The
pathogenesis
of
SLE
remains
unclear,
and
the
aim
this
study
was
to
identify
novel
biomarkers
SLE.
First,
key
modules
cell
clusters
for
trait
sample
grouping
were
screened
by
weighted
gene
coexpression
network
analysis
(WGCNA).
differentially
expressed
genes
(DEGs)
between
normal
samples
in
GSE72326
screened.
candidate
obtained
overlapping
DEGs,
module
genes,
marker
clusters.
random
forest
algorithm
executed
based
on
top
5
selected
as
hub
genes.
In
addition,
set
enrichment
(GSEA)
performed.
Finally,
expression
validation,
methylation
analysis,
immunoinfiltration
completed.
A
total
90
DEGs
control
dataset.
By
(TNFSF13B,
FCGR1A,
TNFSF10,
ISG15,
LAP3)
obtained.
GSEA
revealed
that
TNFSF13B
FCGR1A
involved
primary
immunodeficiency,
cytosolic
DNA
sensing
pathway,
ribosome,
LAP3
related
pyruvate
metabolism,
complement
coagulation
cascade.
TNFSF13B,
identified
SLE,
which
provides
a
new
perspective
Purpose
:
Patients
methods
Results
Conclusion
