International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(16), С. 8592 - 8592
Опубликована: Авг. 6, 2024
Personalized
medicine,
which
involves
modifying
treatment
strategies/drug
dosages
based
on
massive
laboratory/imaging
data,
faces
large
statistical
and
study
design
problems.
The
authors
believe
that
the
use
of
continuous
multidimensional
such
as
those
regarding
gut
microbiota,
or
binary
systems
properly
transformed
into
a
variable,
epigenetic
clock,
offer
an
advantageous
scenario
for
trials
personalized
medicine.
We
will
discuss
examples
focusing
kidney
diseases,
specifically
IgA
nephropathy.
While
dysbiosis
can
provide
strategy
to
restore
standard
microbiota
using
probiotics,
transforming
omics
data
clocks
offers
promising
tool
acute
chronic
disease
care.
Epigenetic
involve
complex
transformation
DNA
methylome
estimated
biological
age.
These
identify
people
at
high
risk
developing
problems
even
before
symptoms
appear.
Some
effects
both
clock
diseases
seem
be
mediated
by
endothelial
dysfunction.
“big
data”
(epigenetic
microbiota)
help
tailor
plans
pinpointing
patients
likely
experience
rapid
declines
who
might
not
need
overly
aggressive
therapies.
Journal of Personalized Medicine,
Год журнала:
2024,
Номер
14(2), С. 217 - 217
Опубликована: Фев. 18, 2024
Infectious
diseases
have
long
posed
a
significant
threat
to
global
health
and
require
constant
innovation
in
treatment
approaches.
However,
recent
groundbreaking
research
has
shed
light
on
previously
overlooked
player
the
pathogenesis
of
disease-the
human
microbiome.
This
review
article
addresses
intricate
relationship
between
microbiome
infectious
unravels
its
role
as
crucial
mediator
host-pathogen
interactions.
We
explore
remarkable
potential
harnessing
this
dynamic
ecosystem
develop
innovative
strategies
that
could
revolutionize
management
diseases.
By
exploring
latest
advances
emerging
trends,
aims
provide
new
perspective
combating
by
targeting
CA A Cancer Journal for Clinicians,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 22, 2025
Abstract
Next‐generation
sequencing
has
revealed
the
disruptive
reality
that
advanced/metastatic
cancers
have
complex
and
individually
distinct
genomic
landscapes,
necessitating
a
rethinking
of
treatment
strategies
clinical
trial
designs.
Indeed,
molecular
reclassification
cancer
suggests
it
is
underpinnings
disease,
rather
than
tissue
origin,
mostly
drives
outcomes.
Consequently,
oncology
trials
evolved
from
standard
phase
1,
2,
3
tissue‐specific
studies;
to
tissue‐specific,
biomarker‐driven
trials;
tissue‐agnostic
untethered
histology
(all
drug‐centered
designs
);
and,
ultimately,
patient‐centered
,
N‐of‐1
precision
medicine
studies
in
which
each
patient
receives
personalized,
biomarker‐matched
therapy/combination
drugs.
Innovative
technologies
beyond
genomics,
including
those
address
transcriptomics,
immunomics,
proteomics,
functional
impact,
epigenetic
changes,
metabolomics,
are
enabling
further
refinement
customization
therapy.
Decentralized
potential
improve
access
approaches
for
underserved
minorities.
Evaluation
real‐world
data,
assessment
patient‐reported
outcomes,
use
registry
protocols,
interrogation
exceptional
responders,
exploitation
synthetic
arms
all
contributed
personalized
therapeutic
approaches.
With
greater
1
×
10
12
patterns
alterations
4.5
million
possible
three‐drug
combinations,
deployment
artificial
intelligence/machine
learning
may
be
necessary
optimization
individual
therapy
near
future,
also
permit
discovery
new
treatments
real
time.
Pancreatic
ductal
adenocarcinoma
(PDAC)
is
a
highly
aggressive
cancer
characterized
by
late
diagnosis,
rapid
progression,
and
high
mortality
rate.
Its
complex
biology,
dense,
stromal
tumor
environment
with
an
immunosuppressive
milieu,
contributes
to
resistance
against
standard
treatments
like
chemotherapy
radiation.
This
comprehensive
review
explores
the
dynamic
role
of
microbiome
in
modulating
efficacy
outcomes
PDAC.
It
delves
into
microbiome's
impact
on
drug
metabolism
resistance,
interaction
between
microbial
elements,
drugs,
human
biology.
We
also
highlight
significance
specific
bacterial
species
enzymes
influencing
action
immune
response
microenvironment.
Cutting-edge
methodologies,
including
artificial
intelligence,
low-biomass
analysis
patient-derived
organoid
models,
are
discussed,
offering
insights
nuanced
interactions
microbes
cells.
The
potential
microbiome-based
interventions
as
adjuncts
conventional
PDAC
paving
way
for
personalized
therapy
approaches.
synthesizes
recent
research
provide
in-depth
understanding
how
affects
efficacy.
focuses
elucidating
key
mechanisms
identifying
existing
knowledge
gaps.
Addressing
these
gaps
crucial
enhancing
medicine
refining
treatment
strategies,
ultimately
improving
patient
outcomes.
The
microbiota
in
individual
habitats
differ
both
relative
composition
and
absolute
abundance.
While
sequencing
approaches
determine
the
abundances
of
taxa
genes,
they
do
not
provide
information
on
their
abundances.
Here,
we
developed
a
machine-learning
approach
to
predict
fecal
microbial
loads
(microbial
cells
per
gram)
solely
from
abundance
data.
Applying
our
prediction
model
large-scale
metagenomic
dataset
(n
=
34,539),
demonstrated
that
load
is
major
determinant
gut
microbiome
variation
associated
with
numerous
host
factors,
including
age,
diet,
medication.
We
further
found
for
several
diseases,
changes
load,
rather
than
disease
condition
itself,
more
strongly
explained
alterations
patients'
microbiome.
Adjusting
this
effect
substantially
reduced
statistical
significance
majority
disease-associated
species.
Our
analysis
reveals
confounder
studies,
highlighting
its
importance
understanding
health
disease.
Aging
is
the
results
of
several
complex
and
multifactorial
processes,
where
agents
contribute
to
increase
intrinsic
vulnerability
susceptibility
age-related
diseases.
The
hallmarks
aging
are
a
set
biological
mechanisms,
finely
regulated
strictly
interconnected,
initiating
or
contributing
changes
anticipating
network
cellular
intercellular
connections
between
might
represent
possible
target
for
research
with
pleiotropic
affects.
Vitamin
D
(VitD)
known
have
positive
impact
not
only
on
muscle
bone
health,
but
also
extra-skeletal
districts,
due
widespread
presence
VDRs
(VDR).
VitD
VDR
could
be
molecules
potentially
targeting
hallmark
network.
To
date,
evidence
about
potential
effect
scarce
in
humans
mainly
based
preclinical
models.
Although
underpowered
heterogeneous,
in-human
studies
seems
confirm
modulatory
some
However,
more
investigations
needed
clarify
effects
its
aging,
hopefully
highlighting
courses
translational
applications
clinical
conclusions.
The Lancet Microbe,
Год журнала:
2024,
Номер
5(8), С. 100843 - 100843
Опубликована: Апрель 9, 2024
The
incidence
of
antibiotic-resistant
bacterial
infections
is
increasing,
and
development
new
antibiotics
has
been
deprioritised
by
the
pharmaceutical
industry.
Interdisciplinary
research
approaches,
based
on
ecological
principles
fitness,
competition,
transmission,
could
open
avenues
to
combat
infections.
Many
facultative
pathogens
use
human
mucosal
surfaces
as
their
major
reservoirs
induce
infectious
diseases
aid
lateral
transmission
host
organisms
under
some
pathological
states
microbiome
host.
Beneficial
commensals
can
outcompete
specific
pathogens,
thereby
lowering
capacity
spread
cause
serious
Despite
clinical
relevance,
however,
understanding
commensal–pathogen
interactions
in
natural
habitats
remains
poor.
In
this
Personal
View,
we
highlight
directions
intensify
between
context
microbiomes
biology
that
lead
innovative
sustainable
ways
preventing
treating
diseases.
Archives of Microbiology,
Год журнала:
2024,
Номер
206(6)
Опубликована: Май 7, 2024
Describing
the
microbial
community
within
tumour
has
been
a
key
aspect
in
understanding
pathophysiology
of
microenvironment.
In
head
and
neck
cancer
(HNC),
most
studies
on
tissue
samples
have
only
performed
16S
rRNA
short-read
sequencing
(SRS)
V3-V5
region.
SRS
is
mostly
limited
to
genus
level
identification.
this
study,
we
compared
full-length
long-read
(FL-ONT)
from
Oxford
Nanopore
Technology
(ONT)
V3-V4
Illumina
(V3V4-Illumina)
26
HNC
tissues.
Further
validation
was
also
using
culture-based
methods
16
bacterial
isolates
obtained
4
patients
MALDI-TOF
MS.
We
observed
similar
alpha
diversity
indexes
between
FL-ONT
V3V4-Illumina.
However,
beta-diversity
significantly
different
techniques
(PERMANOVA
-
R
Journal of Clinical Medicine,
Год журнала:
2024,
Номер
13(13), С. 3977 - 3977
Опубликована: Июль 8, 2024
In
recent
years,
remarkable
strides
have
been
made
in
the
management
of
gastrointestinal
disorders,
transforming
landscape
patient
care
and
outcomes.
This
article
explores
latest
breakthroughs
field,
encompassing
innovative
diagnostic
techniques,
personalized
treatment
approaches,
novel
therapeutic
interventions.
Additionally,
this
emphasizes
use
precision
medicine
tailored
to
individual
genetic
microbiome
profiles,
application
artificial
intelligence
disease
prediction
monitoring.
review
highlights
dynamic
progress
managing
conditions
such
as
inflammatory
bowel
disease,
gastroesophageal
reflux
irritable
syndrome,
cancers.
By
delving
into
these
advancements,
we
offer
a
glimpse
promising
future
gastroenterology,
where
multidisciplinary
collaborations
cutting-edge
technologies
converge
provide
more
effective,
patient-centric
solutions
for
individuals
grappling
with
disorders.
