Oxford University Press eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 31 - 38
Published: April 1, 2025
Abstract
This
chapter
broadly
discusses
current
and
new
advanced
methods
used
in
sleep
circadian
research
humans
animal
model
organisms
including
genetic
molecular
omic
(e.g.,
transcriptomic,
epigenomic,
proteomic,
metabolomic)
methods.
Omics
constitute
several
disciplines
within
the
biological
sciences,
which
collectively
aim
to
identify,
characterize,
quantify
molecules
involved
structure,
function,
dynamics
of
a
cell,
tissue,
or
organism.
These
methods,
when
separately
integrated
for
multi-omics,
comprehensive
approach
have
significant
utility
discover
biomarkers
ultimately
stimulate
countermeasure
development
personalized
medicine
applications
science.
In
future,
these
omics-derived
should
be
validated
with
diverse
clinical
populations
field
studies
misaligned
rhythms.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(17), P. 9463 - 9463
Published: Aug. 30, 2024
Colorectal
cancer
(CRC)
represents
a
significant
global
health
burden,
with
high
incidence
and
mortality
rates
worldwide.
Recent
progress
in
research
highlights
the
distinct
clinical
molecular
characteristics
of
colon
versus
rectal
cancers,
underscoring
tumor
location's
importance
treatment
approaches.
This
article
provides
comprehensive
review
our
current
understanding
CRC
epidemiology,
risk
factors,
pathogenesis,
management
strategies.
We
also
present
intricate
cellular
architecture
colonic
crypts
their
roles
intestinal
homeostasis.
carcinogenesis
multistep
processes
are
described,
covering
conventional
adenoma-carcinoma
sequence,
alternative
serrated
pathways,
influential
Vogelstein
model,
which
proposes
sequential
Metabolites,
Journal Year:
2024,
Volume and Issue:
14(2), P. 98 - 98
Published: Jan. 31, 2024
Metabolomics
is
emerging
as
a
powerful
systems
biology
approach
for
improving
preclinical
drug
safety
assessment.
This
review
discusses
current
applications
and
future
trends
of
metabolomics
in
toxicology
development.
can
elucidate
adverse
outcome
pathways
by
detecting
endogenous
biochemical
alterations
underlying
toxicity
mechanisms.
Furthermore,
enables
better
characterization
human
environmental
exposures
their
influence
on
disease
pathogenesis.
approaches
are
being
increasingly
incorporated
into
studies
pharmacology
evaluations
to
gain
mechanistic
insights
identify
early
biomarkers
toxicity.
However,
realizing
the
full
potential
regulatory
decision
making
requires
robust
demonstration
reliability
through
quality
assurance
practices,
reference
materials,
interlaboratory
studies.
Overall,
shows
great
promise
strengthening
understanding
toxicity,
enhancing
routine
screening,
transforming
exposure
risk
assessment
paradigms.
Integration
with
computational,
vitro,
personalized
medicine
innovations
will
shape
predictive
toxicology.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(22), P. e40265 - e40265
Published: Nov. 1, 2024
Due
to
the
spread
of
antibiotic
resistance,
global
attention
is
focused
on
its
inhibition
and
expansion
effective
medicinal
compounds.
The
novel
functional
properties
peptides
have
opened
up
new
horizons
in
personalized
medicine.
With
artificial
intelligence
methods
combined
with
therapeutic
peptide
products,
pharmaceuticals
biotechnology
advance
drug
development
rapidly
reduce
costs.
Short-chain
inhibit
a
wide
range
pathogens
great
potential
for
targeting
diseases.
To
address
challenges
synthesis
sustainability,
methods,
namely
machine
learning,
must
be
integrated
into
their
production.
Learning
can
use
complicated
computations
select
active
toxic
compounds
metabolic
activity.
Through
this
comprehensive
review,
we
investigated
method
as
tool
finding
peptide-based
drugs
providing
more
accurate
analysis
through
introduction
predictable
databases
selection
development.
Biomedical Reports,
Journal Year:
2025,
Volume and Issue:
22(3)
Published: Jan. 8, 2025
The
advent
of
personalized
and
precision
medicine
has
revolutionized
oncology
treatment
gynecological
cancer.
These
innovative
approaches
tailor
treatments
to
individual
patient
profiles
beyond
genetic
markers
considering
environmental
lifestyle
factors,
thereby
optimizing
therapeutic
efficacy
minimizing
adverse
effects.
Precision
uses
advanced
genomic
technologies
such
as
next‑generation
sequencing
perform
comprehensive
tumor
profiling.
This
allows
identification
distinct
mutations,
expression
patterns
signaling
pathway
alterations,
revealing
the
complex
molecular
landscape
cancer
ovarian,
cervical
uterine
A
major
challenge
in
treating
these
cancers
is
their
inherent
heterogeneity,
which
can
influence
behavior,
therapy
response
prognosis.
aims
overcome
this
by
identifying
biomarkers
drivers
for
targeted
selection.
For
example,
breast
(BRCA)
gene
mutations
ovarian
guided
use
poly
(ADP‑ribose)
polymerase
inhibitors,
leading
more
effective
with
fewer
side
Similar
therapies
immunotherapies
have
also
been
developed
cancer,
marking
progress
toward
care.
Future
directions
emphasize
importance
profiling
development
therapies.
By
understanding
unique
features
each
patient,
clinicians
select
most
strategies
improve
outcomes
quality
life.
Frontiers in Medicine,
Journal Year:
2025,
Volume and Issue:
12
Published: Feb. 26, 2025
Sarcoidosis
is
an
inflammatory
disease
characterized
by
the
formation
of
granulomas
in
various
organs,
leading
to
inflammation
and
potential
organ
dysfunction.
Symptoms
often
start
with
general
signs
like
fatigue,
fever,
weight
loss,
but
vary
depending
on
affected
organ.
Diagnosis
challenging
due
its
diverse
clinical
presentation
lack
a
definitive
test,
while
treatment
complicated
disease's
variable
course,
requiring
personalized
approach.
This
review
explores
role
genetic
environmental
factors
sarcoidosis
etiology,
examines
current
challenges
diagnosis
treatment,
discusses
how
understanding
etiology
informs
patient
management
future
strategies.
Frontiers in Bioinformatics,
Journal Year:
2024,
Volume and Issue:
4
Published: June 19, 2024
Background
Complex
disorders,
such
as
Alzheimer’s
disease
(AD),
result
from
the
combined
influence
of
multiple
biological
and
environmental
factors.
The
integration
high-throughput
data
omics
platforms
can
provide
system
overviews,
improving
our
understanding
complex
processes
underlying
human
disease.
In
this
study,
integrated
four
were
used
to
characterise
signatures
AD.
Method
study
cohort
consists
455
participants
(Control:148,
Cases:307)
Religious
Orders
Study
Memory
Aging
Project
(ROSMAP).
Genotype
(SNP),
methylation
(CpG),
RNA
proteomics
collected,
quality-controlled
pre-processed
(SNP
=
130;
CpG
83;
91;
Proteomics
119).
Using
a
diagnosis
Mild
Cognitive
Impairment
(MCI)/AD
target
phenotype,
we
first
Partial
Least
Squares
Regression
an
unsupervised
classification
framework
assess
prediction
capabilities
for
each
dataset
individually.
We
then
variation
sparse
generalized
canonical
correlation
analysis
(sGCCA)
predictions
datasets
identify
multi-omics
characterising
group
participants.
Results
Analysing
individually
found
provided
best
with
accuracy
0.63
(95%CI
[0.54–0.71]),
followed
by
RNA,
0.61
[0.52–0.69]),
SNP,
0.59
[0.51–0.68])
proteomics,
0.58
[0.51–0.67]).
After
datasets,
dramatically
improved
resulting
0.95
(95%
CI
[0.89–0.98]).
Conclusion
is
powerful
approach
explore
systems
better
results
suggest
that
integrative
methods
biomarker
panels
predictive
performance
compared
individual
alone.
Further
validation
in
independent
cohorts
required
validate
refine
presented
study.
Cells,
Journal Year:
2024,
Volume and Issue:
13(4), P. 342 - 342
Published: Feb. 14, 2024
One
of
the
main
obstacles
to
therapeutic
success
in
colorectal
cancer
(CRC)
is
development
acquired
resistance
treatment
with
drugs
such
as
5-fluorouracil
(5-FU).
Whilst
some
mechanisms
are
well
known,
it
clear
from
stasis
therapy
rate
that
much
still
unknown.
Here,
a
proteomics
approach
taken
towards
identification
candidate
proteins
using
5-FU-resistant
sublines
human
CRC
cell
lines
generated
house.
Using
multiplexed
stable
isotope
labelling
amino
acids
culture
(SILAC)
strategy,
and
equivalently
passaged
sensitive
were
compared
parent
by
growing
Heavy
medium
2D
liquid
chromatography
Orbitrap
Fusion™
Tribrid™
Mass
Spectrometry
analysis.
Among
3003
commonly
quantified
proteins,
six
(CD44,
APP,
NAGLU,
CORO7,
AGR2,
PLSCR1)
found
up-regulated,
(VPS45,
RBMS2,
RIOK1,
RAP1GDS1,
POLR3D,
CD55)
down-regulated.
A
total
11
12
have
known
association
drug
or
role
oncogenesis.
Validation
through
immunodetection
techniques
confirmed
high
expression
CD44
CD63,
two
mediators
elevated
results.
The
information
revealed
sensitivity
this
method
warrants
an
important
tool
for
elaborating
complexity
CRC.
