Protein & Cell,
Год журнала:
2018,
Номер
9(5), С. 432 - 445
Опубликована: Апрель 28, 2018
Inter-individual
heterogeneity
in
drug
response
is
a
serious
problem
that
affects
the
patient’s
wellbeing
and
poses
enormous
clinical
financial
burdens
on
societal
level.
Pharmacogenomics
has
been
at
forefront
of
research
into
impact
individual
genetic
background
variability
or
toxicity,
recently
gut
microbiome,
which
also
called
second
genome,
recognized
as
an
important
player
this
respect.
Moreover,
microbiome
very
attractive
target
for
improving
efficacy
safety
due
to
opportunities
manipulate
its
composition.
Pharmacomicrobiomics
emerging
field
investigates
interplay
variation
drugs
disposition
(absorption,
distribution,
metabolism
excretion).
In
review,
we
provide
historical
overview
examine
current
state-of-the-art
knowledge
complex
interactions
between
host
drugs.
We
argue
combining
pharmacogenomics
pharmacomicrobiomics
will
foundation
making
major
advances
personalized
medicine.
Gut,
Год журнала:
2020,
Номер
69(8), С. 1510 - 1519
Опубликована: Май 14, 2020
The
human
gut
microbiome
is
a
complex
ecosystem
that
can
mediate
the
interaction
of
host
with
their
environment.
between
microbes
and
commonly
used
non-antibiotic
drugs
bidirectional:
composition
be
influenced
by
drugs,
but,
vice
versa,
also
influence
an
individual's
response
to
drug
enzymatically
transforming
drug's
structure
altering
its
bioavailability,
bioactivity
or
toxicity
(pharmacomicrobiomics).
indirectly
impact
immunotherapy
in
cancer
treatment.
In
this
review
we
discuss
bidirectional
interactions
describe
changes
microbiota
induced
potential
clinical
consequences
summarise
how
impacts
effectiveness
role
immunotherapy.
Understanding
metabolises
reduces
treatment
efficacy
will
unlock
possibility
modulating
improve
The
human
gut
microbiota
metabolizes
the
Parkinson's
disease
medication
Levodopa
(l-dopa),
potentially
reducing
drug
availability
and
causing
side
effects.
However,
organisms,
genes,
enzymes
responsible
for
this
activity
in
patients
their
susceptibility
to
inhibition
by
host-targeted
drugs
are
unknown.
Here,
we
describe
an
interspecies
pathway
bacterial
l-dopa
metabolism.
Conversion
of
dopamine
a
pyridoxal
phosphate-dependent
tyrosine
decarboxylase
from
Enterococcus
faecalis
is
followed
transformation
m-tyramine
molybdenum-dependent
dehydroxylase
Eggerthella
lenta
These
predict
metabolism
complex
microbiotas.
Although
that
targets
host
aromatic
amino
acid
does
not
prevent
microbial
decarboxylation,
identified
compound
inhibits
patient
microbiotas
increases
bioavailability
mice.
It
is
well
established
that
the
gut
microbiota
plays
an
important
role
in
host
health
and
perturbed
by
several
factors
including
antibiotics.
Antibiotic-induced
changes
microbial
composition
can
have
a
negative
impact
on
reduced
diversity,
functional
attributes
of
microbiota,
formation,
selection
antibiotic-resistant
strains
making
hosts
more
susceptible
to
infection
with
pathogens
such
as
Clostridioides
difficile.
Antibiotic
resistance
global
crisis
increased
use
antibiotics
over
time
warrants
investigation
into
its
effects
health.
In
this
review,
we
discuss
adverse
thus
health,
suggest
alternative
approaches
antibiotic
use.
Journal of Cheminformatics,
Год журнала:
2019,
Номер
11(1)
Опубликована: Янв. 5, 2019
A
number
of
computational
tools
for
metabolism
prediction
have
been
developed
over
the
last
20
years
to
predict
structures
small
molecules
undergoing
biological
transformation
or
environmental
degradation.
These
were
largely
facilitate
absorption,
distribution,
metabolism,
excretion,
and
toxicity
(ADMET)
studies,
although
there
is
now
a
growing
interest
in
using
such
metabolomics
exposomics
studies.
However,
their
use
widespread
adoption
still
hampered
by
several
factors,
including
limited
scope,
breath
coverage,
availability,
performance.To
address
these
limitations,
we
BioTransformer,
freely
available
software
package
accurate,
rapid,
comprehensive
silico
compound
identification.
BioTransformer
combines
machine
learning
approach
with
knowledge-based
molecule
human
tissues
(e.g.
liver
tissue),
gut
as
well
environment
(soil
water
microbiota),
via
its
tool.
evaluation
showed
that
it
was
able
outperform
two
state-of-the-art
commercially
(Meteor
Nexus
ADMET
Predictor),
precision
recall
values
up
7
times
better
than
those
obtained
Meteor
Predictor
on
same
sets
pharmaceuticals,
pesticides,
phytochemicals
endobiotics
under
similar
identical
constraints.
Furthermore
reproduce
100%
transformations
metabolites
predicted
EAWAG
pathway
system.
Using
mass
spectrometry
data
from
rat
experimental
study
epicatechin
supplementation,
also
correctly
identify
39
previously
reported
identification
tool,
suggest
28
potential
metabolites,
17
which
matched
nine
monoisotopic
masses
no
evidence
previous
report
could
be
found.BioTransformer
can
used
an
open
access
command-line
library.
It
at
https://bitbucket.org/djoumbou/biotransformerjar/
.
Moreover,
RESTful
application
www.biotransformer.ca
,
allows
users
manually
programmatically
submit
queries,
retrieve
predictions
data.
