Editorial: Omics in endocrinology: from biomarker discovery to targeting therapeutic strategies
Frontiers in Molecular Biosciences,
Journal Year:
2025,
Volume and Issue:
12
Published: Feb. 13, 2025
Type
2
diabetes
mellitus
(T2DM)
and
thyroid
disease
(TD)
are
two
endocrine
disorders
that
closely
linked
to
metabolic
dysfunction,
thus
representing
established
health
concerns
worldwide
(Kalra
et
al.,
2019).
T2DM
is
a
chronic
condition
marked
by
β-cell
abnormal
glucose
homeostasis,
insulin
resistance
(DeFronzo
2015).
Thyroid
diseases
involve
hormone
production
regulation
abnormalities,
affecting
metabolism
the
immune
response
(Chauhan
Patel,
2024;Yamauchi
Yabe,
2025).
Both
conditions
significantly
influence
quality
of
life
patients
increase
their
risk
developing
other
complications,
such
as
cardiovascular
disease,
kidney
failure,
neurological
impairments.
Furthermore,
obesity
associated
with
incidence
these
(Pulgaron
Delamater,
2014).
The
key
mechanisms
underlying
complex
multifactorial.
In
diabetes,
dysfunction
in
pancreatic
β-cells
leads
inadequate
production,
inducing
loss
sensitivity
peripheral
tissues,
muscle
adipose
tissue
(Donath
Shoelson,
2011).
Moreover,
systemic
inflammation,
dysregulated
adipokine
secretion,
altered
lipid
relate
progression
(Gasmi
2021;Chen
2022).
Genetic
environmental
factors
TD
contribute
function,
frequently
driven
autoimmune
(Tomer
Davies,
2003;Bao
2021).With
well-established
guidelines
diagnose
disorders,
development
new
classes
medications
continues
(McGill
2024;Tywanek
2024),
whereas
nanotechnology
may
revolutionize
disorder
treatments,
bridging
diagnostics
therapies
(Yang
2013;Yan
2024).
Nonetheless,
omics
technologies
have
advanced
discovery
(Costanzo
for
monitoring
biomarkers
progression,
predicting
treatment
response,
improving
follow-up
care
disorders.
These
approaches
enable
diagnosis
more
precise
personalized
strategies
(Olivier
2019;Beger
2020).
Metabolomics,
particular,
lean
on
mass
spectrometry
(MS)
or
nuclear
magnetic
resonance
(NMR)
identify,
characterize,
monitor
molecules
clinical
purposes
(Roviello
2014;Costanzo
2022;Aleidi
2023;Costanzo
Caterino,
2023).
Further
multi-omics
data
integration
through
computational
models
has
been
proven
instrumental
validating
prioritizing
use
(Pietzner
2018;Reel
2021;Zhang
This
Research
Topic
collected
original
research
articles
provide
advances
many
aspects
endocrinological
diseases,
including
obesity.
Given
hormones
lipids,
carbohydrate
metabolism,
involvement
expected.
To
this
purpose,
using
joint
longitudinal
time-to-event
data,
Amirabadizadeh
al.
investigated
association
between
serum
changes
thyroid-stimulating
(TSH)
free
thyroxine
(FT4)
levels
[19].
They
used
from
1938
individuals
Tehran
Study
cohort
identified
cases
T2DM.
Their
findings
revealed
some
dynamic
variations
connected
A
significant
reverse
TSH
was
demonstrated.
results
suggested
an
intricate
interplay
activity
risk,
highlighting
significance
screening
preventive
approach
T2DM.Aleidi
profiles
Gestational
Diabetes
Mellitus
(GDM)
MS-based
untargeted
metabolomics
[20].
Based
oral
tolerance
test
(OGTT),
40
pregnant
women
at
24-28
weeks
gestation
were
screened,
20
them
affected
GDM,
while
control.
analysis
distinctive
differences
GDM
healthy
women,
number
metabolites
ones.
most
relevant
pathways
metabolome
included
tryptophan
inositol
phosphate
phenylalanine
histidine
metabolism.
authors
selected
set
10
metabolites,
N-acetylproline
serylmethionine,
whose
combination
showed
high
diagnostic
importance
AUC
value
(0.978).
Importantly,
could
potentially
be
tested
novel
detectable
specificity
place
standard
OGTT
GDM.
Masood
explored
plasma
proteome
following
liraglutide,
longacting
agonist
GLP-1
receptor,
showing
strong
therapeutic
interest
its
role
weight
treatment.
signaling
proposed
activated
receptor
binding
activation
cAMP
cascade,
resulting
effective
regulation,
improved
decreased
glucagon
lower
food
intake,
increased
satiety.
However,
elucidate
molecular
liraglutide
effects,
applied
label-free
quantitative
proteomics
identify
potential
before
initiating
after
three
months
3
mg
therapy.
Proteome
reduction
inflammation
oxidative
stress
boost
glycolytic
lipolytic
pathways.Finally,
Tang
relative
exposure
different
doses
hexavalent
chromium
Cr(VI),
being
carbohydrate,
lipid,
nucleic
acid
well
depression.
studied
neuro-health
risks
analyzing
rat
astrocytes
via
metabolomics.
Specifically,
they
highlighted
critical
roles
sphingolipid
methioninecysteine
cycle
neurotoxicity,
apoptosis
methionine-cysteine
playing
damage.
Language: Английский
Impact of Thyroid Dysregulation on Glycemic Control in Type 2 Diabetes Mellitus: A Comparative Investigation
Indus journal of bioscience research.,
Journal Year:
2025,
Volume and Issue:
3(2), P. 586 - 590
Published: March 6, 2025
Background:
Diabetes
mellitus
(DM)
and
thyroid
dysfunction
(TD)
are
among
the
most
prevalent
endocrine
disorders
globally,
with
a
complex
bidirectional
relationship.
Thyroid
hormones
play
pivotal
role
in
regulating
carbohydrate
metabolism
pancreatic
function.
This
study
investigates
prevalence
patterns
of
patients
type
2
diabetes
(T2DM)
compared
to
non-diabetic
control
group.
Methods:
A
descriptive
comparative
was
conducted
at
Al-Sehat
Hospital,
Timergara,
Lower
Dir,
involving
330
participants
divided
into
two
groups:
controls
(n=165)
confirmed
T2DM
(n=165).
Blood
samples
were
analyzed
for
function
tests
(TFTs)
glycated
hemoglobin
(HbA1c)
using
automated
analyzers.
Data
SPSS
version
22,
results
expressed
as
frequencies,
percentages,
statistics.
Results:
observed
20%
patients,
significantly
higher
than
8.43%
Among
diabetic
hyperthyroidism
(14.54%)
more
hypothyroidism
(5.46%).
Females
disproportionately
affected,
constituting
84.84%
cases
T2DM.
Age
significant
factor,
individuals
over
40
years.
Mean
HbA1c
9.84±3.385,
reflecting
poor
glycemic
control.
Conclusion:
The
highlights
individuals,
being
common
abnormality.
Routine
screening
dysfunction,
particularly
high-risk
groups,
is
essential
timely
diagnosis
management
mitigate
complications.
Language: Английский