Frontiers in Toxicology,
Journal Year:
2023,
Volume and Issue:
5
Published: Nov. 17, 2023
Introduction:
While
targeted
investigation
of
key
toxicity
pathways
has
been
instrumental
for
biomarker
discovery,
unbiased
and
holistic
analysis
transcriptomic
data
provides
a
complementary
systems-level
perspective.
However,
in
systematic
context,
this
approach
yet
to
receive
comprehensive
methodical
implementation.
Methods:
Here,
we
took
an
integrated
bioinformatic
by
re-analyzing
publicly
available
MCF7
cell
TempO-seq
44
ToxCast
chemicals
using
alternative
pipeline
demonstrate
the
power
approach.
The
original
study
focused
on
analyzing
gene
signature
comparing
them
vitro
biological
pathway
altering
concentrations
determined
from
HTS
assays.
Our
workflow,
comparison,
involves
sequential
differential
expression,
set
enrichment,
benchmark
dose
modeling,
identification
commonly
perturbed
network
visualization.
Results:
Using
approach,
identified
dose-responsive
molecular
changes,
pathways,
points
departure
untargeted
manner.
Critically,
modeling
based
recapitulated
apical
endpoints,
while
also
revealing
additional
mechanisms
missed
single
endpoint
analyses.
Discussion:
This
systems-toxicology
multifaceted
insights
into
complex
effects
chemical
exposures.
work
highlights
importance
data-driven
techniques,
alongside
methods,
comprehensively
evaluating
initiating
events,
dose-response
relationships,
pathways.
Overall,
integrating
omics
assays
with
robust
bioinformatics
holds
promise
improving
risk
assessment
advancing
new
methodologies
(NAMs).
Frontiers in Toxicology,
Journal Year:
2023,
Volume and Issue:
5
Published: May 23, 2023
The
growing
number
of
chemicals
in
the
current
consumer
and
industrial
markets
presents
a
major
challenge
for
regulatory
programs
faced
with
need
to
assess
potential
risks
they
pose
human
ecological
health.
increasing
demand
hazard
risk
assessment
currently
exceeds
capacity
produce
toxicity
data
necessary
decision
making,
applied
is
commonly
generated
using
traditional
approaches
animal
models
that
have
limited
context
terms
relevance.
This
scenario
provides
opportunity
implement
novel,
more
efficient
strategies
purposes.
study
aims
increase
confidence
implementation
new
approach
methods
by
parallel
analysis
identify
gaps
experimental
designs,
reveal
limitations
common
deriving
transcriptomic
points
departure,
demonstrate
strengths
high-throughput
transcriptomics
(HTTr)
derive
practical
endpoints.
A
uniform
workflow
was
across
six
curated
gene
expression
datasets
from
concentration-response
studies
containing
117
diverse
chemicals,
three
cell
types,
range
exposure
durations,
determine
tPODs
based
on
profiles.
After
benchmark
concentration
modeling,
used
consistent
reliable
tPODs.
High-throughput
toxicokinetics
were
employed
translate
vitro
(µM)
human-relevant
administered
equivalent
doses
(AEDs,
mg/kg-bw/day).
most
had
AEDs
lower
(i.e.,
conservative)
than
apical
PODs
US
EPA
CompTox
chemical
dashboard,
suggesting
would
be
protective
effects
An
multiple
single
revealed
longer
duration
varied
culture
systems
(e.g.,
3D
vs.
2D)
lead
decreased
tPOD
value
indicated
increased
potency.
Seven
flagged
as
outliers
when
comparing
ratio
POD,
thus
indicating
require
further
better
understand
their
potential.
Our
findings
build
use
but
also
must
addressed
prior
adoption
support
applications.
BMC Genomics,
Journal Year:
2025,
Volume and Issue:
26(1)
Published: April 22, 2025
Abstract
Background
Transcriptomic
benchmark
concentration
(BMC)
modeling
provides
quantitative
toxicogenomic
information
that
is
increasingly
being
used
in
regulatory
risk
assessment
of
data
poor
chemicals.
Over
the
past
decade,
RNA
sequencing
(RNA-seq)
gradually
replacing
microarray
as
major
platform
for
transcriptomic
applications
due
to
its
higher
precision,
wider
dynamic
range,
and
capability
detecting
novel
transcripts.
However,
it
unclear
whether
RNA-seq
offers
substantial
advantages
over
response
studies.
Results
We
provide
an
updated
comparison
between
using
two
cannabinoids,
cannabichromene
(CBC)
cannabinol
(CBN),
case
The
platforms
revealed
similar
overall
gene
expression
patterns
with
regard
both
CBC
CBN.
spite
many
varieties
non-coding
transcripts
larger
numbers
differentially
expressed
genes
(DEGs)
ranges
identified
by
RNA-seq,
displayed
equivalent
performance
identifying
functions
pathways
impacted
compound
exposure
through
set
enrichment
analysis
(GSEA).
Furthermore,
point
departure
(tPoD)
values
derived
BMC
were
on
same
levels
Conclusions
Considering
relatively
low
cost,
smaller
size,
better
availability
software
public
databases
interpretation,
still
a
viable
method
choice
traditional
such
mechanistic
pathway
identification
modeling.
Toxicological Sciences,
Journal Year:
2023,
Volume and Issue:
194(1), P. 38 - 52
Published: May 17, 2023
Per-
and
polyfluoroalkyl
substances
(PFAS)
are
a
wide
range
of
chemicals
that
used
in
variety
consumer
industrial
products
leading
to
direct
human
exposure.
Many
PFAS
chemically
nonreactive
persistent
the
environment,
resulting
additional
exposure
from
water,
soil,
dietary
intake.
While
some
have
documented
negative
health
effects,
data
on
simultaneous
exposures
multiple
(PFAS
mixtures)
inadequate
for
making
informed
decisions
risk
assessment.
The
current
study
leverages
previous
work
our
group
using
Templated
Oligo-Sequencing
(TempO-Seq)
high-throughput
transcriptomic
analysis
PFAS-exposed
primary
liver
cell
spheroids;
herein,
we
determine
potency
mixtures.
Gene
expression
single
mixture
spheroids
were
subject
benchmark
concentration
(BMC)
analysis.
We
25th
lowest
gene
BMC
as
point
departure
compare
potencies
mixtures
varying
complexity
composition.
Specifically,
empirical
8
compared
predicted
calculated
principal
addition
(ie,
dose
addition)
which
component
summed
by
proportion
predict
potency.
In
this
study,
most
mixtures,
comparable
through
addition.
This
supports
effects
largely
follow
response
suggests
these
individual
not
strongly
synergistic
or
antagonistic.
Chemical Research in Toxicology,
Journal Year:
2024,
Volume and Issue:
37(3), P. 465 - 475
Published: Feb. 26, 2024
To
modernize
genotoxicity
assessment
and
reduce
reliance
on
experimental
animals,
new
approach
methodologies
(NAMs)
that
provide
human-relevant
dose-response
data
are
needed.
Two
transcriptomic
biomarkers,
GENOMARK
TGx-DDI,
have
shown
a
high
classification
accuracy
for
genotoxicity.
As
these
biomarkers
were
extracted
from
different
training
sets,
we
investigated
whether
combining
the
two
in
human-derived
metabolically
competent
cell
line
(i.e.,
HepaRG)
provides
complementary
information
of
genotoxic
hazard
identification
potency
ranking.
First,
applicability
to
TempO-Seq,
high-throughput
technology,
was
evaluated.
HepaRG
cells
exposed
72
h
increasing
concentrations
10
chemicals
eight
known
Journal of Agricultural and Food Chemistry,
Journal Year:
2024,
Volume and Issue:
72(19), P. 10710 - 10724
Published: April 30, 2024
The
human
population
will
be
approximately
9.7
billion
by
2050,
and
food
security
has
been
identified
as
one
of
the
key
issues
facing
global
population.
Agrochemicals
are
an
important
tool
available
to
farmers
that
enable
high
crop
yields
continued
access
healthy
foods,
but
average
new
agrochemical
active
ingredient
takes
more
than
ten
years,
350
million
dollars,
20,000
animals
develop
register.
time,
monetary,
animal
costs
incentivize
use
New
Approach
Methodologies
(NAMs)
in
early-stage
screening
prioritize
chemical
candidates.
This
review
outlines
NAMs
currently
or
can
adapted
for
programs.
It
covers
vitro
screens
on
horizon
areas
regulatory
concern.
Overall,
with
enables
prioritization
development
agrochemicals
without
environmental
health
concerns
through
a
directed,
agile,
iterative
program
before
animal-based
testing
is
even
considered.
Toxicological Sciences,
Journal Year:
2024,
Volume and Issue:
200(2), P. 228 - 234
Published: May 7, 2024
Abstract
Arguably
the
most
famous
principle
of
toxicology
is
“The
dose
makes
poison”
formulated
by
Paracelsus
in
16th
century.
Application
Paracelsus’s
to
mechanistic
may
be
challenging
as
one
compound
affect
many
molecular
pathways
at
different
doses
with
and
often
nonlinear
dose-response
relationships.
As
a
result,
studies
environmental
occupational
compounds
use
high
xenobiotics
motivated
need
see
clear
signal
indicating
disruption
particular
pathway.
This
approach
ignores
possibility
that
same
xenobiotic
mechanism(s)
much
lower
relevant
human
exposures.
To
amend
simple
concise
guiding
principle,
I
suggest
recontextualization
following
its
letter
spirit:
disrupts
pathway”.
Justification
this
statement
includes
observations
broad
range
cascades,
are
sensitive
chemical
exposures,
compound.
become
useful
guidance
educational
tool
toxicological
applications,
including
experimental
design,
comparative
analysis
hypotheses,
evaluation
quality
studies,
risk
assessment.
Frontiers in Genetics,
Journal Year:
2024,
Volume and Issue:
15
Published: May 9, 2024
A
key
step
in
assessing
the
potential
human
and
environmental
health
risks
of
industrial
agricultural
chemicals
is
to
determine
toxicity
point
departure
(POD),
which
highest
dose
level
that
causes
no
adverse
effect.
Transcriptomic
POD
(tPOD)
values
have
been
suggested
accurately
estimate
values.
One
most
common
approach
for
tPOD
determination
involves
mapping
genes
annotated
gene
sets,
a
process
might
lead
substantial
information
loss
particularly
species
with
poor
annotation.
Alternatively,
methods
calculate
directly
from
distribution
individual
omit
this
step.
Using
rat
transcriptome
data
79
molecules
obtained
Open
TG-GATEs
(Toxicogenomics
Project
Genomics
Assisted
Toxicity
Evaluation
System),
hypothesis
was
tested
based
on
all
will
give
similar
value
via
set-based
method.
Gene
using
four
different
set
structures
were
compared
five
methods.
Results
revealed
high
concordance
tested,
especially
at
least
300
dose-responsive
probesets:
90%
those
molecules,
within
4-fold
each
other.
In
addition,
random
sets
upon
structure
biological
knowledge-derived
produced
median
absolute
fold
change
1.3–1.4
when
original
counterparts,
suggesting
little
used
generation
approach.
These
findings
indicate
distributions
viable
parsimonious
alternative
sets.
Importantly,
distribution-based
do
not
require
knowledge
organization
can
be
applied
any
including
poorly
Toxicology,
Journal Year:
2024,
Volume and Issue:
506, P. 153885 - 153885
Published: July 14, 2024
Cannabidiol
(CBD)
has
been
reported
to
induce
hepatotoxicity
in
clinical
trials
and
research
studies;
however,
little
is
known
about
the
safety
of
other
nonintoxicating
cannabinoids.
New
approach
methodologies
(NAMs)
based
on
bioinformatic
analysis
high-throughput
transcriptomic
data
are
gaining
increasing
importance
risk
assessment
regulatory
decision-making
data-poor
chemicals.
In
current
study,
we
conducted
a
concentration
response
hemp
extract
its
four
major
constituent
cannabinoids
[CBD,
cannabichromene
(CBC),
cannabigerol
(CBG),
cannabinol
(CBN)]
hepatocytes
derived
from
human
induced
pluripotent
stem
cells
(iPSCs).
Each
compound
impacted
distinctive
combination
biological
functions
pathways.
However,
all
impaired
liver
metabolism
caused
oxidative
stress
cells.
Benchmark
(BMC)
showed
potencies
transcriptional
activity
were
order
CBN
>
CBD
CBC
CBG,
consistent
with
their
cytotoxicity
IC