BMC Oral Health,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: April 1, 2025
The
microbiome,
especially
the
gut
contributes
to
regulation,
etiology,
and
pathogenesis
of
sleep
disorder.
However,
limited
evidence
regarding
oral
microbiome's
role
in
Therefore,
this
study
aimed
investigate
association
between
disorder
microbial
diversity
whether
microbiota
is
associated
with
all-cause
mortality
people
included
4,729
individuals
National
Health
Nutrition
Examination
Survey
(NHANES)
from
2009
2012
data
until
2019.
Sleep
was
assessed
by
structured
questionnaire.
microbiome
characterized
16
S
ribosomal
RNA
gene
sequencing.
Logistic
regression
models
were
conducted
quantify
α-diversity
different
status
controlling
for
potential
confounding
variables,
principal
coordinate
analysis
along
permutational
multivariate
variance
β-diversity.
using
Cox
proportional
hazard
models.
showed
that
a
lower
number
operational
taxonomic
units
(OTUs)
(adjusted
odds
ratio
[aOR]
=
0.996;
95%
confidence
interval
[CI]
0.994–0.998),
less
Faith's
phylogenetic
(aOR
0.954,
CI
0.934–0.975),
Shannon–Weiner
index
0.854,
0.772–0.944)
β-diversity
revealed
communities
two
groups,
as
measured
Bray–Curtis
dissimilarity
(R2
0.358%,
P
0.001),
unweighted
UniFrac
distance
0.450%,
0.001)
weighted
0.709%,
0.001).
Furthermore,
OTUs
(odds
[OR]
0.999;
0.998–0.999;
<
0.05),
(OR
0.987;
0.975–0.998;
0.924;
0.873–0.979;
inverse
Simpson
0.553;
0.306–0.997;
0.05)
all
significant
increase
risk
death
participants
Intra-population
richness,
inter-population
dispersion,
have
been
linked
mortality.
Overall,
these
results
will
help
better
understand
etiology
Further
studies
are
required
determine
mechanisms
underlying
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(5), P. 2279 - 2279
Published: March 4, 2025
Head
and
neck
cancers
(HNCs)
are
often
diagnosed
late,
leading
to
poor
prognosis.
Chronic
inflammation,
particularly
periodontitis,
has
been
linked
carcinogenesis,
but
systemic
inflammatory
markers
remain
underexplored.
This
study
was
the
first
examine
whether
elevated
C-reactive
protein
(CRP)
can
serve
as
a
cost-effective
adjunct
in
HNC
risk
assessment,
alongside
oral
health
indicators.
A
retrospective
cohort
analysed
23,742
hospital
records
(4833
patients,
2015-2022)
from
University
Hospital
of
Debrecen.
cases
were
identified
using
ICD-10
codes,
with
CRP
periodontitis
key
predictors.
Kaplan-Meier
survival
analysis,
log-rank
tests,
Weibull
regression
used
assess
risk,
model
performance
evaluated
via
AIC/BIC
ROC
curves.
Periodontitis
significantly
associated
(HR
5.99
[1.96-18.30]),
while
(>15
mg/L)
independently
increased
4.16
[1.45-12.00]).
Females
had
lower
than
males
0.06
[0.01-0.50]).
may
cost-effective,
easily
accessible
biomarker
for
early
detection
when
combined
screening.
Integrating
inflammation
into
assessment
models
could
potentially
improve
diagnosis
high-risk
populations.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 11, 2025
AbstractObjectives
To
elucidate
the
microbial
and
genomic
changes
in
saliva
dental
plaque
during
Oral
Squamous
Cell
Carcinoma
(OSCC)
progression,
to
identify
potential
mechanisms
virulence
factors
involved
OSCC
pathogenesis.
Materials
Methods
Using
metagenomic
sequencing,
64
samples
from
patients
at
different
stages
of
differentiation
were
examined.
Results
The
results
showed
notable
differences
composition
profiles
across
ecological
regions
degrees.
Notably,
relative
abundance
specific
microbes,
such
as
Porphyromonas
gingivalis,
Fusobacterium
nucleatum,
Haemophilus
parainfluenzae,
increased
poorly
differentiated
OSCC.
Microbial
alpha
diversity
correlates
with
tumor
T
staging.
Dental
microbiota
shows
higher
specialization,
especially
tumors.
Both
types
become
more
stable
advanced
Genomic
analysis
reveals
stages.
Subsequently,
functional
pathway
tracing
pathogens
reveal
oral
cancer
may
promote
tumorigenesis
by
secreting
like
GAPDH,
GspG,
AllS,
drive
initiation
progression
through
interactions.
Conclusions
is
associated
altered
composition,
diversity,
plaque.
Poorly
show
factors,
implicating
them
tumorigenesis.
Clinical
Relevance
Understanding
could
help
develop
new
diagnostic
biomarkers
therapies
targeting
microbiota,
potentially
improving
early
detection,
treatment
efficacy,
prognosis
for
patients.
Maintaining
microbiome
homeostasis
also
prevent
cancer.
Clinical Oral Investigations,
Journal Year:
2025,
Volume and Issue:
29(4)
Published: March 14, 2025
Abstract
Objectives
To
evaluate
the
effect
of
coconut
oil
on
oral
bacteriome
and
inflammatory
response
in
patients
with
periodontitis
by
integrating
next-generation
sequencing
analyses
pathogenic
bacterial
shifts
quantification
markers,
thereby
assessing
its
potential
as
a
natural
adjunct
to
standard
nonsurgical
periodontal
therapy.
Materials
methods
A
triple-blind
clinical
trial
was
conducted
30
participants
diagnosed
periodontitis,
randomized
into
3
groups:
(1)
oil,
(2)
chlorhexidine
(3)
placebo.
Saliva
gingival
crevicular
fluid
(GCF)
samples
were
collected
before
treatment,
one
month
after
post-non-surgical
Bacterial
DNA
extracted,
V3-V4
region
16
S
rRNA
gene
PCR-amplified
sequenced
using
Illumina
MiSeq
technologies.
Inflammatory
biomarkers,
including
Interleukin-6
(IL-6)
tumor
necrosis
factor-alpha
(TNF-α),
quantified
from
GCF
samples.
Results
Coconut
treatment
significantly
reduced
families
such
Spirochaetaceae
Tannerellaceae
while
promoting
beneficial
bacteria
Streptococcaceae.
At
genus
species
levels,
pathogens
Tannerella
forsythia
Treponema
denticola
along
increase
Streptococcus
.
The
subgingival
microbial
dysbiosis
index
improved
both
groups.
Furthermore,
demonstrated
reduction
IL-6
TNF-α
indicating
decreased
local
inflammation.
Conclusions
modulated
microbiome
markers
suggesting
effective
Clinical
relevance
This
study
highlights
oil’s
therapy,
effectively
reducing
(IL-6,
TNF-α).
It
offers
safe
alternative
chlorhexidine,
balance
health.
Nutrients,
Journal Year:
2025,
Volume and Issue:
17(6), P. 1079 - 1079
Published: March 19, 2025
Background:
Lifestyle
habits
such
as
sleep,
hygiene,
or
eating
conducts
are
nowadays
suffering
from
a
lack
of
consistency,
and
this
situation
is
being
linked
to
systemic
mental
health
consequences.
Nevertheless,
not
enough
attention
has
been
paid
investigate
the
plausible
relation
between
lifestyle
oral
health,
hence,
investigation
aims
study
possible
effects
certain
on
in
dental
students.
Methods:
A
sample
195
students
was
gathered
basic
sociodemographic
data
(gender,
age,
nationality),
hygiene
habits,
well
related
smoking,
adherence
healthy
daily
schedule
constancy
were
recorded.
Oral
with
reference
decayed,
missing,
filled
teeth,
recorded
using
DMFT
index
bleeding
upon
probing
(BOP).
The
Healthy
Scale
(EVS)
utilized
record
mealtime
diet
characteristics.
Descriptive
analysis,
Pearson
correlations,
hierarchical
linear
regression
model,
moderation
analysis
performed.
Results:
present
evidence
showed
direct
indicators.
Respect
routines
(MT),
correct
sleep
(SR)
balanced
(BD)
exert
moderator
effect
caries
smoking.
Smoking
shows
positive
correlation
number
teeth
BOP.
Conclusions:
Findings
suggest
that
better
status.
In
addition,
diet,
can
act
factor
BMC Oral Health,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: April 1, 2025
The
microbiome,
especially
the
gut
contributes
to
regulation,
etiology,
and
pathogenesis
of
sleep
disorder.
However,
limited
evidence
regarding
oral
microbiome's
role
in
Therefore,
this
study
aimed
investigate
association
between
disorder
microbial
diversity
whether
microbiota
is
associated
with
all-cause
mortality
people
included
4,729
individuals
National
Health
Nutrition
Examination
Survey
(NHANES)
from
2009
2012
data
until
2019.
Sleep
was
assessed
by
structured
questionnaire.
microbiome
characterized
16
S
ribosomal
RNA
gene
sequencing.
Logistic
regression
models
were
conducted
quantify
α-diversity
different
status
controlling
for
potential
confounding
variables,
principal
coordinate
analysis
along
permutational
multivariate
variance
β-diversity.
using
Cox
proportional
hazard
models.
showed
that
a
lower
number
operational
taxonomic
units
(OTUs)
(adjusted
odds
ratio
[aOR]
=
0.996;
95%
confidence
interval
[CI]
0.994–0.998),
less
Faith's
phylogenetic
(aOR
0.954,
CI
0.934–0.975),
Shannon–Weiner
index
0.854,
0.772–0.944)
β-diversity
revealed
communities
two
groups,
as
measured
Bray–Curtis
dissimilarity
(R2
0.358%,
P
0.001),
unweighted
UniFrac
distance
0.450%,
0.001)
weighted
0.709%,
0.001).
Furthermore,
OTUs
(odds
[OR]
0.999;
0.998–0.999;
<
0.05),
(OR
0.987;
0.975–0.998;
0.924;
0.873–0.979;
inverse
Simpson
0.553;
0.306–0.997;
0.05)
all
significant
increase
risk
death
participants
Intra-population
richness,
inter-population
dispersion,
have
been
linked
mortality.
Overall,
these
results
will
help
better
understand
etiology
Further
studies
are
required
determine
mechanisms
underlying