Anti-cancer potential of hydroethanolic extracts of Kyllinga nemoralis: an in vitro and in-silico studies
Pharmacological Research - Natural Products,
Journal Year:
2025,
Volume and Issue:
6, P. 100161 - 100161
Published: Jan. 31, 2025
Language: Английский
SOCIOECONOMIC AND CULTURAL FACTORS INFLUENCING TRADITIONAL MEDICINE (TM) USE IN NIGERIA: A SYSTEMATIC MIXED METHOD REVIEW.
European Journal of Integrative Medicine,
Journal Year:
2025,
Volume and Issue:
unknown, P. 102436 - 102436
Published: Feb. 1, 2025
Language: Английский
From Killer to Solution: Evaluating Bioremediation Strategies on Microbial Diversity in Crude Oil-Contaminated Soil over Three to Six Months in Port Harcourt, Nigeria
Advances in Environmental and Engineering Research,
Journal Year:
2024,
Volume and Issue:
05(04), P. 1 - 26
Published: Nov. 5, 2024
The
study
aimed
to
evaluate
the
efficacy
of
various
bioremediation
approaches
on
microbial
diversity
in
crude
oil-contaminated
soil
over
three
six
months
Port
Harcourt,
Nigeria.
objective
was
assess
impact
different
strategies
populations,
particularly
focusing
hydrocarbon-utilizing
bacteria
and
fungi.
Microbial
populations
were
quantified
using
serial
dilution
count
techniques.
vapor
phase
transfer
mechanism
employed
estimate
Bacterial
fungal
colonies
incubated
for
five
days,
followed
by
biochemical
tests
isolate
identification.
Fungal
pure
cultures
observed
under
a
microscope.
significant
increase
free
oil
pollution
when
bioremediators
such
as
mushrooms
earthworms
introduced.
Mushrooms
exhibited
50%
(HUB),
while
showed
55%
HUB
six-month
period.
longer
lifespan
nutrient
absorption
capabilities
facilitated
faster
growth.
Furthermore,
growth
population
fungi
oil-polluted
after
employing
bioremediation,
with
highest
treated
at
months,
months.
Conversely,
lowest
recorded
polluted
10%
remediated
results
suggest
that
effectively
soil.
However,
demonstrated
higher
compared
earthworms,
especially
terms
promoting
(HUB)
(HUF).
Based
findings,
it
is
recommended
prioritize
agents
similar
environmental
restoration
efforts
due
their
superior
increasing
HUF.
This
underscores
potential
effective
restoring
soil,
offering
insights
sustainable
practices
oil-affected
regions
like
Language: Английский
Investigating Potential Anti-Bacterial Natural Products Based on Ayurvedic Formulae Using Supervised Network Analysis and Machine Learning Approaches
Pei Gao,
No information about this author
Ahmad Kamal Nasution,
No information about this author
Naoaki Ono
No information about this author
et al.
Pharmaceuticals,
Journal Year:
2025,
Volume and Issue:
18(2), P. 192 - 192
Published: Jan. 30, 2025
Objectives:
This
study
implements
a
multi-dimensional
methodology
to
systematically
identify
potential
natural
antibiotics
derived
from
the
medicinal
plants
utilized
in
Ayurvedic
practices.
Methods:
Two
primary
analytical
techniques
are
employed
explore
antibiotic
of
plants.
The
initial
approach
utilizes
supervised
network
analysis,
which
involves
application
distance
measurement
algorithms
scrutinize
interconnectivity
and
relational
patterns
within
formulae.
Results:
39
candidate
with
properties
were
identified.
second
leverages
advanced
machine
learning
techniques,
particularly
focusing
on
feature
extraction
pattern
recognition.
yielded
list
32
exhibiting
characteristics
indicative
antibiotics.
A
key
finding
this
research
is
identification
17
that
consistently
recognized
by
both
methods.
These
well-documented
existing
literature
for
their
antibacterial
properties,
either
directly
or
through
bioactive
compounds,
suggests
strong
validation
study’s
methodology.
By
synergizing
analysis
learning,
provides
rigorous
multi-faceted
examination
plants,
significantly
contributing
candidates.
Conclusions:
not
only
reinforces
traditional
medicine
as
source
new
therapeutics
but
also
demonstrates
effectiveness
combining
classical
contemporary
complex
biological
datasets.
Language: Английский
Comparative analysis of phytochemical and antioxidant potential in traditional medicinal plants: Insights from solvent-based extractions
Food Bioscience,
Journal Year:
2025,
Volume and Issue:
unknown, P. 106603 - 106603
Published: April 1, 2025
Language: Английский
Nanoformulations of Isoflavones: Mechanistic insights and Translational research
Riya Chauhan,
No information about this author
Neelam Poonia,
No information about this author
Rudra Narayan Subudhi
No information about this author
et al.
Journal of Drug Delivery Science and Technology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 106948 - 106948
Published: April 1, 2025
Language: Английский
Protective effect of Spondias mombin leaf extracts against aluminum chloride-induced brain oxidative stress, inflammation and apoptosis in rats
Future Journal of Pharmaceutical Sciences,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: April 23, 2025
Abstract
Background
Aluminum
is
recognized
for
its
toxicity
in
humans
and
animals.
This
study
investigates
the
protective
effects
of
Spondias
mombin
leaf
extracts
against
oxidative
stress,
inflammation,
apoptosis
male
Wistar
rats.
Rats
were
divided
into
nine
groups,
receiving
100
mg/kg
AlCl
3
weeks,
followed
by
a
2-week
treatment
with
extract
(SME)
or
fraction
(SMF)
at
200
mg/kg.
Brain
tissues
analyzed
using
biochemical,
molecular,
histopathological
techniques.
Results
Phytochemical
analysis
confirmed
presence
tannins,
phenols,
terpenoids,
flavonoids
steroids,
while
HPLC
identified
kaempferol
other
polyphenols,
extracts.
exposure
led
to
increased
inflammatory
damage
brain
tissue
as
revealed
decreased
glutathione
concentrations
antioxidant
enzyme
activities,
along
elevated
levels
tumor
necrosis
factor-alpha,
nitric
oxide,
myeloperoxidase,
xanthine
oxidase,
lactate
dehydrogenase.
Caspase-3,
BCL2
associated
X
(Bax)
also
-exposed
Both
SME
SMF
mitigated
-induced
redox
imbalance,
proinflammatory
events,
neuronal
cell
death
enhancing
reduced
reducing
biomarkers,
preserving
hippocampal
formation
organization.
Conclusions
These
findings
highlight
therapeutic
potential
aluminum-induced
neurotoxic
through
their
antioxidant,
anti-inflammatory,
antiapoptotic
properties.
Graphical
abstract
Language: Английский