Predictors of HIV rebound differ by timing of antiretroviral therapy initiation
Jonathan Z. Li,
No information about this author
Meghan Melberg,
No information about this author
Autumn Kittilson
No information about this author
et al.
JCI Insight,
Journal Year:
2024,
Volume and Issue:
9(3)
Published: Feb. 8, 2024
BACKGROUND.
Identifying
factors
that
predict
the
timing
of
HIV
rebound
after
treatment
interruption
will
be
crucial
for
designing
and
evaluating
interventions
remission.
Language: Английский
Understanding early HIV-1 rebound dynamics following antiretroviral therapy interruption: The importance of effector cell expansion
Tin Phan,
No information about this author
Jessica M. Conway,
No information about this author
Nicole Pagane
No information about this author
et al.
PLoS Pathogens,
Journal Year:
2024,
Volume and Issue:
20(7), P. e1012236 - e1012236
Published: July 29, 2024
Most
people
living
with
HIV-1
experience
rapid
viral
rebound
once
antiretroviral
therapy
is
interrupted;
however,
a
small
fraction
remain
in
remission
for
an
extended
duration.
Understanding
the
factors
that
determine
whether
likely
after
treatment
interruption
can
enable
development
of
optimal
regimens
and
therapeutic
interventions
to
potentially
achieve
functional
cure
HIV-1.
We
built
upon
theoretical
framework
proposed
by
Conway
Perelson
construct
dynamic
models
virus-immune
interactions
study
influence
dynamics.
evaluated
these
using
load
data
from
24
individuals
following
interruption.
The
best-performing
model
accurately
captures
heterogeneity
dynamics
highlights
importance
effector
cell
expansion
rate.
Our
results
show
post-treatment
controllers
non-controllers
be
distinguished
based
on
rate
our
models.
Furthermore,
demonstrate
potential
incorporating
response
understand
early
post-antiretroviral
Language: Английский
The utility of nonhuman primate models for understanding acute HIV-1 infection
Current Opinion in HIV and AIDS,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 10, 2025
Purpose
of
review
Nonhuman
primate
(NHP)
models
HIV-1
infection
provide
complementary
experimental
pathways
for
assessing
aspects
acute
(AHI)
that
cannot
be
addressed
in
humans.
This
article
reviews
studies
SIV-infected
or
SHIV-infected
macaque
species
over
the
previous
18
months.
Recent
findings
Reviewed
examined
dynamics
replication-competent
viral
reservoir
establishment
during
early
infection,
maintenance
throughout
therapy,
and
factors
influencing
rebound
after
treatment
cessation.
Also
discussed
are
events
central
nervous
system
liver
potential
links
between
these
manifestations
comorbidities
chronic
infection.
Additional
how
occurrences
impact
development
natural
control
posttreatment
control.
Another
report
evaluated
with
broadly
neutralizing
antibodies
enhanced
ability
to
engage
innate
immune
cells,
highlighting
this
intervention
shape
adaptive
antiviral
responses.
Summary
NHP
a
fundamental
research
tool
investigating
AHI
events.
These
enable
detailed
pathogenesis
characterization
testing
hypothesis-driven
strategies
altering
disease
courses
through
interventions
AHI,
including
targeting
persistence
persist
Language: Английский
Advances in the mathematical modeling of posttreatment control of HIV-1
Current Opinion in HIV and AIDS,
Journal Year:
2024,
Volume and Issue:
20(1), P. 92 - 98
Published: Nov. 7, 2024
Purpose
of
review
Several
new
intervention
strategies
have
shown
significant
improvements
over
antiretroviral
therapy
(ART)
in
eliciting
lasting
posttreatment
control
(PTC)
HIV-1.
Advances
mathematical
modelling
offered
mechanistic
insights
into
PTC
and
the
workings
these
interventions.
We
advances.
Recent
findings
Broadly
neutralizing
antibody
(bNAb)–based
therapies
large
increases
ART
frequency
duration
elicited.
Early
viral
dynamics
models
with
been
advanced
to
elucidate
underlying
mechanisms,
including
role
CD8
+
T
cells.
These
characterize
as
an
alternative
set-point,
low
load,
predict
routes
achieving
it.
Large-scale
omic
datasets
host
factors
associated
PTC.
Correspondingly,
classes
models,
those
using
learning
techniques,
helped
exploit
deduce
causal
links
associations.
Models
also
that
either
target
proviral
reservoir,
modulate
immune
responses,
or
both,
assessing
their
translatability.
Summary
modeling
better
PTC,
elucidated
quantified
mechanisms
which
interventions
elicit
it,
informed
translational
efforts.
Language: Английский
Understanding early HIV-1 rebound dynamics following antiretroviral therapy interruption: The importance of effector cell expansion
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 5, 2024
Most
people
living
with
HIV-1
experience
rapid
viral
rebound
once
antiretroviral
therapy
is
interrupted;
however,
a
small
fraction
remain
in
remission
for
an
extended
duration.
Understanding
the
factors
that
determine
whether
likely
after
treatment
interruption
can
enable
development
of
optimal
regimens
and
therapeutic
interventions
to
potentially
achieve
functional
cure
HIV-1.
We
built
upon
theoretical
framework
proposed
by
Conway
Perelson
construct
dynamic
models
virus-immune
interactions
study
influence
dynamics.
evaluated
these
using
load
data
from
24
individuals
following
interruption.
The
best-performing
model
accurately
captures
heterogeneity
dynamics
highlights
importance
effector
cell
expansion
rate.
Our
results
show
post-treatment
controllers
non-controllers
be
distinguished
based
on
rate
our
models.
Furthermore,
demonstrate
potential
incorporating
response
understand
early
post-antiretroviral
Language: Английский