Synergistic effects of recombinant expressed Fowlicidin and Thymosin α1 hybrid peptides in modulating inflammation and infection in avian macrophages
Frontiers in Microbiology,
Год журнала:
2025,
Номер
16
Опубликована: Апрель 16, 2025
The
hybrid
FowlTα1
peptide
represents
a
promising
biomolecule
synthesized
from
two
naturally
occurring
peptides,
namely
Fowlicidins
(Fowl)
and
Thymosin
α1
(Tα1).
This
particular
exhibits
remarkable
anti-inflammatory
antimicrobial
properties
demonstrates
the
capacity
to
effectively
interact
with
lipopolysaccharide
(LPS),
while
simultaneously
inducing
minimal
cytotoxicity
hemolytic
repercussions.
Despite
its
potential,
high
cost
of
this
has
limited
use.
To
overcome
limitation,
present
study
developed
cost-effective
biocompatible
method
for
expressing
in
Pichia
pastoris
(P.
pastoris).
We
obtained
transgenic
strain
predicted
molecular
weight
3.1
kDa.
was
purified
followed
by
reverse-phase
high-performance
liquid
chromatography
(RP-HPLC),
yielding
7.2
mg
purity
98.2%.
Furthermore,
physiochemical
structural
analysis
revealed
an
amphipathic
helical
configuration
that
enhances
bioactivity.
Moreover,
LPS-stimulated
HD11
macrophages,
significantly
reduced
release
nitric
oxide
(NO),
TNF-α,
IL-6,
IL-1β
dose-dependent
manner
(p
<
0.05)
displayed
robust
activity
against
Escherichia
coli
(E.
coli)
compared
conventional
antibiotic.
Overall,
results
highlighted
production
potential
as
novel
therapeutic
agent
antimicrobial,
anti-inflammatory,
anti-endotoxin
applications.
Язык: Английский
Longevity mechanisms in cardiac aging: exploring calcium dysregulation and senescence
Biogerontology,
Год журнала:
2025,
Номер
26(3)
Опубликована: Апрель 21, 2025
Язык: Английский
SGO enhanced random forest and extreme gradient boosting framework for heart disease prediction
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Май 25, 2025
Abstract
Cardiovascular
disease
(CVD)
remains
a
leading
global
health
concern,
accounting
for
approximately
31.5%
of
deaths
worldwide.
According
to
the
World
Health
Organization
(WHO),
over
20.5
million
people
succumb
CVD
each
year—a
figure
projected
rise
24.2
by
2030.
Early
diagnosis
is
critical
and
can
be
facilitated
monitoring
key
risk
factors
such
as
cholesterol
levels,
blood
pressure,
diabetes,
obesity.
This
study
proposes
heart
prediction
(HDP)
model
employing
Random
Forest
(RF)
eXtreme
Gradient
Boosting
(XGB)
classifiers.
Both
models
are
further
optimized
through
hyperparameter
tuning
using
Social
Group
Optimization
(SGO)
algorithm.
The
was
developed
validated
Cleveland
Statlog
datasets
from
UCI
repository.
Pre-optimization
results
RF
yielded
an
accuracy
(Acc.)
84%
ROC-AUC
score
92.03%
on
dataset,
88.09%
Acc.
with
97.50%
Statlog.
XGB
classifier
achieved
81.97%
90.73%
Cleveland,
92.86%
96.14%
After
SGO-based
optimization,
improved
95.08%
95.26%
95.24%
98.18%
Similarly,
reached
93.44%
97.62%
These
highlight
effectiveness
SGO
in
enhancing
ML
performance
medical
problems.
However,
has
certain
limitations.
evaluation
conducted
solely
two
benchmark
datasets,
which
may
not
fully
reflect
diversity
complexity
real-world
clinical
populations.
Furthermore,
external
validation
independent
or
real-time
data
performed,
limit
generalizability
results.
computational
cost
associated
optimization
also
assessed.
Future
research
should
focus
validating
across
broader
assessing
applicability,
analyzing
efficiency
ensure
scalability
adoption.
Язык: Английский
Interplay of hypoxia, immune dysregulation, and metabolic stress in pathophysiology of type 1 diabetes
Frontiers in Immunology,
Год журнала:
2025,
Номер
16
Опубликована: Июнь 4, 2025
Type
1
diabetes
(T1D)
is
an
autoimmune
disease
characterized
by
the
progressive
destruction
of
pancreatic
β-cells,
leading
to
insulin
deficiency
and
chronic
hyperglycemia.
While
immune-mediated
mechanisms
β-cell
are
well-recognized,
emerging
evidence
highlights
hypoxia
as
a
silent
yet
critical
contributor
T1D
pathogenesis.
Hypoxia
in
islets
arises
from
inflammation,
vascular
dysfunction,
hyperglycemia,
immune
cell
infiltration,
creating
microenvironment
that
exacerbates
dysfunction
amplifies
responses.
Hypoxia-inducible
factors
(HIFs)
play
dual
role
regulating
adaptive
maladaptive
responses
hypoxia,
influencing
survival,
activation,
oxidative
stress.
Specifically,
promotes
polarization
macrophages
toward
pro-inflammatory
M1
phenotype,
enhances
differentiation
Th17
cells,
impairs
function
regulatory
T
cells
(Tregs),
thereby
shifting
landscape
sustained
autoimmunity.
This
perspective
discusses
multifaceted
driving
dysregulation
vulnerability
well
need
for
innovative
research
approaches
target
this
pathway.
We
propose
future
directions
emphasize
development
advanced
experimental
models
mimic
interplay
between
clinically
relevant
conditions.
Furthermore,
we
highlight
potential
therapeutic
strategies
its
downstream
effects
preserve
modulate
Collaborative
efforts
across
disciplines
will
be
crucial
translating
these
insights
into
clinical
innovations
improve
outcomes
individuals
with
T1D.
Язык: Английский