Deleted Journal,
Journal Year:
2023,
Volume and Issue:
2, P. 262 - 262
Published: Dec. 30, 2023
Heart
failure
(HF)
after
a
myocardial
infarction
(MI)
is
one
of
the
most
frequent
complications
and
with
highest
mortality
rate
in
population.
Given
this,
importance
finding
appropriate
biomarkers
for
diagnosis,
prognosis
treatment
this
condition.
The
review
was
carried
out
under
an
analytical
approach,
using
PRISMA
statement
as
methodology;
documents
were
retrieved
through
Scopus,
ScienceDirect
PubMed
databases,
where
20
articles
that
met
certain
inclusion
criteria
recognized.
In
conclusion,
it
explained
use
standard
such
B-type
natriuretic
peptide
(BNP)
non-terminal
pro-BNP
clinical
practice
have
limitations,
especially
due
to
their
low
specificity
HF
post-MI
complication.
Therefore,
currently,
reflect
alteration
cardiac
integrity,
injury
necrosis,
inflammatory
biomarkers,
fibrosis,
biomechanical
stress,
other
types
non-coding
RNAs
are
being
investigated
Human Genomics,
Journal Year:
2025,
Volume and Issue:
19(1)
Published: Jan. 31, 2025
Non-communicable
diseases
(NCDs)
such
as
cardiovascular
diseases,
chronic
respiratory
cancers,
diabetes,
and
mental
health
disorders
pose
a
significant
global
challenge,
accounting
for
the
majority
of
fatalities
disability-adjusted
life
years
worldwide.
These
arise
from
complex
interactions
between
genetic,
behavioral,
environmental
factors,
necessitating
thorough
understanding
these
dynamics
to
identify
effective
diagnostic
strategies
interventions.
Although
recent
advances
in
multi-omics
technologies
have
greatly
enhanced
our
ability
explore
interactions,
several
challenges
remain.
include
inherent
complexity
heterogeneity
multi-omic
datasets,
limitations
analytical
approaches,
severe
underrepresentation
non-European
genetic
ancestries
most
omics
which
restricts
generalizability
findings
exacerbates
disparities.
This
scoping
review
evaluates
landscape
data
related
NCDs
2000
2024,
focusing
on
advancements
integration,
translational
applications,
equity
considerations.
We
highlight
need
standardized
protocols,
harmonized
data-sharing
policies,
advanced
approaches
artificial
intelligence/machine
learning
integrate
study
gene-environment
interactions.
also
opportunities
translating
insights
(GxE)
research
into
precision
medicine
strategies.
underscore
potential
advancing
enhancing
patient
outcomes
across
diverse
underserved
populations,
emphasizing
fairness-centered
strategic
investments
build
local
capacities
underrepresented
populations
regions.
Frontiers in Microbiology,
Journal Year:
2024,
Volume and Issue:
15
Published: May 9, 2024
Cardiovascular
diseases,
including
myocardial
infarction,
remain
a
leading
cause
of
death
globally.
Emerging
evidence
suggests
the
gut
microbiota
plays
crucial
role
in
cardiovascular
health.
This
study
aims
to
explore
impact
on
infarction
using
mouse
model.
Diagnostics,
Journal Year:
2025,
Volume and Issue:
15(4), P. 460 - 460
Published: Feb. 13, 2025
Molecular
autopsy
is
a
term
employed
to
describe
the
investigation
of
cause
death
through
analysis
genetic
information
using
biological
samples
collected
post-mortem.
Its
utility
becomes
evident
in
situations
where
conventional
medico-legal
methods
are
not
able
identify
death,
i.e.,
sudden
cardiac
(SCD)
cases
young
individuals,
deaths
commonly
due
conditions,
such
as
cardiomyopathies
and
channelopathies.
The
recent
advancement
high-throughput
sequencing
techniques,
next-generation
(NGS),
has
allowed
high
number
genomic
regions
more
cost-effective
faster
approach.
Unlike
traditional
methods,
which
can
only
sequence
one
DNA
fragment
at
time,
NGS
millions
short
polynucleotide
fragments
simultaneously.
This
parallel
approach
reduces
both
time
cost
required
generate
large-scale
data,
making
it
useful
tool
for
applications
ranging
from
basic
research
molecular
autopsy.
In
forensic
context,
by
enabling
examination
multiple
genes
or
entire
exomes
genomes,
enhances
accuracy
depth
investigations,
contributing
better
understanding
complex
inherited
diseases.
However,
challenges
remain,
interpretation
variants
unknown
significance
(VUS),
need
standardized
protocols,
demand
specialized
bioinformatics
expertise.
Despite
these
challenges,
continues
offer
significant
promise
enhancing
precision
autopsies.
goal
this
review
assess
effectiveness
contemporary
advancements
methodologies
when
applied
SCD
individuals
present
an
overview
steps
involved
data
variants.
Frontiers in Endocrinology,
Journal Year:
2025,
Volume and Issue:
16
Published: March 14, 2025
Recent
advancements
in
multi-omics
technologies
have
provided
unprecedented
opportunities
to
identify
biomarkers
associated
with
prediabetes,
offering
novel
insights
into
its
diagnosis
and
management.
This
review
synthesizes
the
latest
findings
on
prediabetes
from
multiple
omics
domains,
including
genomics,
epigenomics,
transcriptomics,
proteomics,
metabolomics,
microbiomics,
radiomics.
We
explore
how
these
elucidate
molecular
cellular
mechanisms
underlying
analyze
potential
predictive
value
disease
progression.
Integrating
data
helps
address
limitations
of
traditional
diagnostic
methods,
enabling
early
detection,
personalized
interventions,
improved
patient
outcomes.
However,
challenges
such
as
integration,
standardization,
clinical
validation
translation
remain
be
resolved.
Future
research
leveraging
artificial
intelligence
machine
learning
is
expected
further
enhance
power
technologies,
contributing
precision
tailored
management
prediabetes.
Metabolites,
Journal Year:
2024,
Volume and Issue:
14(5), P. 258 - 258
Published: April 30, 2024
Accurate
risk
prediction
for
myocardial
infarction
(MI)
is
crucial
preventive
strategies,
given
its
significant
impact
on
global
mortality
and
morbidity.
Here,
we
propose
a
novel
deep-learning
approach
to
enhance
the
of
incident
MI
cases
by
incorporating
metabolomics
alongside
clinical
factors.
We
utilized
data
from
KORA
cohort,
including
baseline
S4
follow-up
F4
studies,
consisting
1454
participants
without
prior
history
MI.
The
dataset
comprised
19
variables
363
metabolites.
Due
imbalanced
nature
(78
observed
1376
non-MI
individuals),
employed
generative
adversarial
network
(GAN)
model
generate
new
cases,
augmenting
improving
feature
representation.
To
predict
MI,
further
multi-layer
perceptron
(MLP)
models
in
conjunction
with
synthetic
minority
oversampling
technique
(SMOTE)
edited
nearest
neighbor
(ENN)
methods
address
overfitting
underfitting
issues,
particularly
when
dealing
datasets.
accuracy,
GAN
feature-enhanced
(GFE)
loss
function.
GFE
function
resulted
an
approximate
2%
improvement
yielding
final
accuracy
70%.
Furthermore,
evaluated
contribution
each
variable
metabolite
predictive
identified
10
most
variables,
glucose
tolerance,
sex,
physical
activity.
This
first
study
construct
producing
7-year
predictions
using
newly
proposed
Our
findings
demonstrate
promising
potential
our
identifying
biomarkers
prediction.
DMW - Deutsche Medizinische Wochenschrift,
Journal Year:
2024,
Volume and Issue:
149(09), P. 488 - 495
Published: April 1, 2024
Das
akute
Koronarsyndrom
ist
in
vielen
Fällen
die
erste
klinische
Manifestation
der
zugrunde
liegenden
Atherosklerose
und
stellt
häufig
eine
Notfallsituation
dar.
In
kurzer
Zeit
müssen
Ursache
ggf.
mögliche
Differenzialdiagnosen
erkannt
zügig
gehandelt
werden.
Die
richtige
Interpretation
von
Anzeichen
Symptomen
entsprechende
Auswahl
diagnostischen
Methode
sind
Basis
für
weitere
Therapie.
