Frontiers in Immunology,
Journal Year:
2022,
Volume and Issue:
13
Published: Sept. 14, 2022
Coronavirus-19
(COVID-19)
disease
is
driven
by
an
unchecked
immune
response
to
the
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
virus
which
alters
host
mitochondrial-associated
mechanisms.
Compromised
mitochondrial
health
results
in
abnormal
reprogramming
of
glucose
metabolism,
can
disrupt
extracellular
signalling.
We
hypothesized
that
examining
energy-related
signalling
metabolites
implicated
SARS-CoV-2
infection
would
provide
potential
biomarkers
for
predicting
risk
COVID-19
illness.
used
a
semi-targeted
serum
metabolomics
approach
273
patients
with
different
severity
grades
recruited
at
phase
determine
relative
abundance
tricarboxylic
acid
(Krebs)
cycle-related
known
signaling
properties
(pyruvate,
lactate,
succinate
and
α-ketoglutarate).
Abundance
levels
were
evaluated
validation
cohort
(n=398)
using
quantitative
fluorimetric
assays.
Increased
four
a-ketoglutarate
succinate)
found
critically
ill
targeted
approaches
(p<0.05).
The
combined
strategy
proposed
herein
enabled
us
establish
circulating
pyruvate
(p<0.001)
together
body
mass
index
(p=0.025),
C-reactive
protein
(p=0.039),
D-Dimer
creatinine
(p=0.043)
levels,
are
independent
predictors
critical
COVID-19.
Furthermore,
classification
regression
tree
(CART)
analysis
provided
cut-off
value
(24.54
µM;
p<0.001)
as
early
criterion
accurately
classify
outcomes.
Our
findings
support
link
between
pathogenesis
immunometabolic
dysregulation,
show
fluorometric
quantification
cost-effective
clinical
decision
tool
improve
patient
stratification
prognosis
prediction.
Lupus,
Journal Year:
2024,
Volume and Issue:
33(9), P. 948 - 961
Published: June 17, 2024
Objective
In
this
pilot
study,
we
used
untargeted
metabolomics
to
identify
biochemical
mechanisms
or
biomarkers
potentially
underlying
SLE-related
fatigue.
Methods
Metabolon
conducted
metabolomic
plasma
profiling
using
ultrahigh
performance
liquid
chromatography/tandem
mass
spectrometry
on
samples
of
23
Black
females
with
systemic
lupus
erythematosus
(SLE)
and
21
no
SLE
controls.
Fatigue
phenotypes
general
fatigue,
physical
mental
reduced
activity,
motivation
were
measured
the
reliable
valid
Multidimensional
Inventory
(MFI).
Results
A
total
290
metabolites
significantly
different
between
groups,
encompassing
related
glycolysis,
TCA
cycle
heme
catabolism,
branched
chain
amino
acids,
fatty
acid
metabolism,
steroids.
Within
group,
controlling
for
age
co-morbidities,
alpha-ketoglutarate
(AKG)
succinate
statistically
associated
(
p
<
.05)
Conclusion
While
pervasive
perturbations
in
entire
have
been
implicated
as
a
potential
mechanism
our
results
suggest
individual
AKG
may
be
targets
intervention
fatigue
symptom
management
SLE.
Additionally,
metabolism
group
provide
additional
insights
into
that
promote
inflammation.
Cell Reports,
Journal Year:
2024,
Volume and Issue:
43(7), P. 114381 - 114381
Published: June 25, 2024
Succinate,
a
citric
acid
cycle
intermediate,
serves
important
functions
in
energy
homeostasis
and
metabolic
regulation.
Extracellular
succinate
acts
as
stress
signal
through
receptor
(SUCNR1),
class
A
G
protein-coupled
receptor.
Research
on
signaling
is
hampered
by
the
lack
of
high-resolution
structures
agonist-bound
We
present
cryoelectron
microscopy
(cryo-EM)
SUCNR1-Gi
complexes
bound
to
its
non-metabolite
derivative
cis-epoxysuccinate.
Key
determinants
for
recognition
cis
conformation
include
R2817.39
Y832.64,
while
Y301.39
R993.29
participate
binding
both
loop
2,
F175ECL2
β-hairpin,
forms
hydrogen
bond
with
caps
pocket.
At
receptor-Gi
interface,
agonist
induces
rearrangement
hydrophobic
network
transmembrane
(TM)5
TM6,
leading
TM
TM3
TM7.
These
findings
extend
our
understanding
SUCNR1,
aiding
development
therapeutics
Microorganisms,
Journal Year:
2025,
Volume and Issue:
13(4), P. 789 - 789
Published: March 30, 2025
Circadian
rhythms
are
innate
biological
systems
that
control
everyday
behavior
and
physiology.
Furthermore,
bilateral
interaction
between
the
host’s
circadian
rhythm
gut
microbes
influences
a
variety
of
health
ramifications,
including
metabolic
diseases,
obesity,
mental
GALT
physiology
microbiome
population.
Therefore,
we
studying
correlation
differential
gene
expression
in
chicken
brain
microbiota
abundance
during
rhythms.
To
understand
this,
raised
freshly
hatched
chicks
under
two
photoperiod
treatments:
normal
(NP
=
12/12
LD)
extended
(EP
23/1
LD).
The
were
randomly
assigned
to
one
treatments.
After
21
days
entrainment,
euthanized
at
nine
time
points
spaced
six
hours
apart
over
48
h
characterize
transcriptomes.
Each
sample’s
RNA
was
extracted,
36
mRNA
libraries
generated
sequenced
using
Illumina
technology,
followed
by
data
processing,
count
generation,
analysis.
We
an
average
17.5
million
reads
per
library
for
237.9
M
reads.
When
aligned
Galgal6
reference
genome,
11,867
genes
had
detectable
levels,
with
common
dispersion
value
0.105.
identify
follow
24
rhythms,
counts
performed
DiscoRhythm.
discovered
577
Cosinor
417
JTK
cycle
algorithm
exhibit
substantial
used
weighted
co-expression
network
analysis
(WGCNA)
analyze
differentially
expressed
abundance.
most
enriched
pathways
included
aldosterone-regulated
sodium
reabsorption,
endocrine
other
factor-regulated
calcium
GABAergic
synapse,
oxidative
phosphorylation,
serotonergic
dopaminergic
synapse
entrainment.
This
study
builds
on
our
previous
study,
adds
new
findings
about
specific
interactions
co-regulation
transcriptome
microbiota.
host
highlights
potential
benefits
microbiome-modulation
approaches
improve
performance
poultry.
Frontiers in Immunology,
Journal Year:
2022,
Volume and Issue:
13
Published: Sept. 14, 2022
Coronavirus-19
(COVID-19)
disease
is
driven
by
an
unchecked
immune
response
to
the
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
virus
which
alters
host
mitochondrial-associated
mechanisms.
Compromised
mitochondrial
health
results
in
abnormal
reprogramming
of
glucose
metabolism,
can
disrupt
extracellular
signalling.
We
hypothesized
that
examining
energy-related
signalling
metabolites
implicated
SARS-CoV-2
infection
would
provide
potential
biomarkers
for
predicting
risk
COVID-19
illness.
used
a
semi-targeted
serum
metabolomics
approach
273
patients
with
different
severity
grades
recruited
at
phase
determine
relative
abundance
tricarboxylic
acid
(Krebs)
cycle-related
known
signaling
properties
(pyruvate,
lactate,
succinate
and
α-ketoglutarate).
Abundance
levels
were
evaluated
validation
cohort
(n=398)
using
quantitative
fluorimetric
assays.
Increased
four
a-ketoglutarate
succinate)
found
critically
ill
targeted
approaches
(p<0.05).
The
combined
strategy
proposed
herein
enabled
us
establish
circulating
pyruvate
(p<0.001)
together
body
mass
index
(p=0.025),
C-reactive
protein
(p=0.039),
D-Dimer
creatinine
(p=0.043)
levels,
are
independent
predictors
critical
COVID-19.
Furthermore,
classification
regression
tree
(CART)
analysis
provided
cut-off
value
(24.54
µM;
p<0.001)
as
early
criterion
accurately
classify
outcomes.
Our
findings
support
link
between
pathogenesis
immunometabolic
dysregulation,
show
fluorometric
quantification
cost-effective
clinical
decision
tool
improve
patient
stratification
prognosis
prediction.