A Machine-Learning Approach to Finding Gene Target Treatment Options for Long COVID
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 13, 2025
Abstract
Long
COVID,
also
known
as
post-acute
sequelae
of
SARS-CoV-2
infection
(PASC),
encompasses
a
range
symptoms
persisting
for
weeks
or
months
after
the
acute
phase
COVID-19.
These
symptoms,
affecting
multiple
organ
systems,
significantly
impact
quality
life.
This
study
employs
machine-learning
approach
to
identify
gene
targets
treating
COVID.
Using
datasets
GSE275334,
GSE270045,
and
GSE157103,
Recursive
Ensemble
Feature
Selection
(REFS)
was
applied
key
genes
associated
with
The
highlights
therapeutic
potential
targeting
such
PPP2CB,
SOCS3,
ARG1,
IL6R,
ECHS1.
Clinical
trials
pharmacological
interventions,
including
dual
antiplatelet
therapy
anticoagulants,
are
explored
their
efficacy
in
managing
COVID-19-related
complications.
findings
suggest
that
machine
learning
can
effectively
biomarkers
targets,
offering
promising
avenue
personalized
treatment
strategies
COVID
patients.
Язык: Английский
ORCHESTRA Delphi consensus: diagnostic and therapeutic management of Post-COVID-19 condition in vulnerable populations
Clinical Microbiology and Infection,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Beyond Antivirals: Alternative Therapies for Long COVID
Viruses,
Год журнала:
2024,
Номер
16(11), С. 1795 - 1795
Опубликована: Ноя. 19, 2024
Long
COVID
or
Post-Acute
Sequelae
of
SARS-CoV-2
infection
(PASC)
is
a
condition
characterized
by
numerous
lingering
symptoms
that
persist
for
weeks
to
months
following
the
viral
illness.
While
treatment
PASC
still
evolving,
several
therapeutic
approaches
beyond
traditional
antiviral
therapies
are
being
investigated,
such
as
immune-modulating
agents,
anti-inflammatory
drugs,
and
various
supportive
interventions
focusing
at
alleviating
enhancing
recovery.
We
aimed
summarize
breadth
available
evidence,
identify
knowledge
gaps,
highlight
promising
non-antiviral
COVID/PASC.
followed
framework
scoping
methodology
mapping
existing
evidence
from
range
studies,
including
randomized
clinical
trials,
observational
research,
case
series.
Treatments
evaluated
include
metformin,
low-dose
naltrexone
(LDN),
dexamethasone,
statins,
omega-3
fatty
acids,
L-arginine,
emerging
like
intravenous
immunoglobulin
(IVIg)
apheresis.
Early
findings
suggest
metformin
has
strongest
particularly
large
phase
3
while
LDN
dexamethasone
show
potential
based
on
studies.
However,
many
treatments
lack
robust,
large-scale
trials.
This
review
emphasizes
need
further
research
confirm
efficacy
these
guide
practice
management.
Язык: Английский