70 research outputs found
First Discovery of Novel Cytosine Derivatives Containing a Sulfonamide Moiety as Potential Antiviral Agents
A series
of cytosine derivatives containing a sulfonamide moiety
were designed and synthesized, and their antiviral activities against
pepper mild mottle virus (PMMoV) were systematically evaluated. Then,
a three-dimensional quantitative structure-activity relationship (3D-QSAR)
model was constructed to study the structure-activity relationship
according to the pEC50 of the compounds’ protective
activities. Next, compound A32 with preferable antiviral
activity on PMMoV was obtained based on the CoMSIA and CoMFA models,
with an EC50 of 19.5 μg/mL, which was superior to
the template molecule A25 (21.3 μg/mL) and ningnanmycin
(214.0 μg/mL). In addition, further studies showed that the
antiviral activity of compound A32 against PMMoV was
in accord with the up-regulation of proteins expressed in the defense
response and carbon fixation in photosynthetic organisms. These results
indicated that cytosine derivatives containing a sulfonamide moiety
could be used as novel potential antiviral agents for further research
and development
Novel Cinnamic Acid Derivatives Containing the 1,3,4-Oxadiazole Moiety: Design, Synthesis, Antibacterial Activities, and Mechanisms
There is a lack of effective antibacterial
agents against rice
bacterial leaf streak and leaf blight. Cinnamic acid derivatives containing
the 1,3,4-oxadiazole moiety were synthesized, and their antibacterial
activities against Xanthomonas oryzae pv. oryzicola (Xoc) and X. oryzae pv. oryzae (Xoo) were evaluated. Based on the three-dimensional quantitative structure–activity
relationship (3D-QSAR) model, compound 31 with better
antibacterial activity against Xoc was designed and
synthesized, and the 50% effective concentration (EC50)
value was 0.2 mg/L. The curative and protective activities of compound 31 against rice bacterial leaf streak at 100 mg/L were 39.5
and 35.4%, respectively, which were higher than those of thiodiazole
copper (28.4 and 20.7%, respectively). The antibacterial activity
of compound 31 against rice bacterial leaf streak is
closely associated with the activity of related defensive enzymes
and the increase in glutathione metabolism
Novel Cinnamic Acid Derivatives Containing the 1,3,4-Oxadiazole Moiety: Design, Synthesis, Antibacterial Activities, and Mechanisms
There is a lack of effective antibacterial
agents against rice
bacterial leaf streak and leaf blight. Cinnamic acid derivatives containing
the 1,3,4-oxadiazole moiety were synthesized, and their antibacterial
activities against Xanthomonas oryzae pv. oryzicola (Xoc) and X. oryzae pv. oryzae (Xoo) were evaluated. Based on the three-dimensional quantitative structure–activity
relationship (3D-QSAR) model, compound 31 with better
antibacterial activity against Xoc was designed and
synthesized, and the 50% effective concentration (EC50)
value was 0.2 mg/L. The curative and protective activities of compound 31 against rice bacterial leaf streak at 100 mg/L were 39.5
and 35.4%, respectively, which were higher than those of thiodiazole
copper (28.4 and 20.7%, respectively). The antibacterial activity
of compound 31 against rice bacterial leaf streak is
closely associated with the activity of related defensive enzymes
and the increase in glutathione metabolism
First Discovery of Novel Cytosine Derivatives Containing a Sulfonamide Moiety as Potential Antiviral Agents
A series
of cytosine derivatives containing a sulfonamide moiety
were designed and synthesized, and their antiviral activities against
pepper mild mottle virus (PMMoV) were systematically evaluated. Then,
a three-dimensional quantitative structure-activity relationship (3D-QSAR)
model was constructed to study the structure-activity relationship
according to the pEC50 of the compounds’ protective
activities. Next, compound A32 with preferable antiviral
activity on PMMoV was obtained based on the CoMSIA and CoMFA models,
with an EC50 of 19.5 μg/mL, which was superior to
the template molecule A25 (21.3 μg/mL) and ningnanmycin
(214.0 μg/mL). In addition, further studies showed that the
antiviral activity of compound A32 against PMMoV was
in accord with the up-regulation of proteins expressed in the defense
response and carbon fixation in photosynthetic organisms. These results
indicated that cytosine derivatives containing a sulfonamide moiety
could be used as novel potential antiviral agents for further research
and development
Covalent Organic Framework Nanocages with Enhanced Carrier Utilization and Cavitation Effect for Cancer Sonodynamic Therapy
Ultrasound (US)-triggered sonodynamic therapy (SDT) is
an emerging
method for treating cancer due to its non-invasive nature and high-depth
tissue penetration ability. However, current sonosensitizers commonly
have unsatisfactory quantum yields of free radicals. In this work,
we have developed unique organic semiconductor π-conjugated
covalent organic framework nanocages (COFNs) as highly efficient sonosensitizers
to boost free radical (1O2 and •OH) production and cancer therapy. With the hollow and porous structure
and band transport behavior, COFNs displayed remarkably improved SDT
performance through enhanced electron utilization and cavitation effect,
with a 1.8-fold increase in US pressure and a 64.8% increase in 1O2 production relative to the core–shell-structured
COF under US irradiation. The in vitro and in vivo experimental results
verified the elevated SDT performance, showing a high tumor suppression
of 91.4% against refractory breast cancer in mice. This work provides
a promising strategy to develop high-performance sonosensitizers for
cancer therapy
An atlas of immune cell exhaustion in HIV-infected individuals revealed by single-cell transcriptomics
Chronic infection with human immunodeficiency virus (HIV) can cause progressive loss of immune cell function, or exhaustion, which impairs control of virus replication. However, little is known about the development and maintenance, as well as heterogeneity of immune cell exhaustion. Here, we investigated the effects of HIV infection on immune cell exhaustion at the transcriptomic level by analyzing single-cell RNA sequencing of peripheral blood mononuclear cells from four healthy subjects (37,847 cells) and six HIV-infected donors (28,610 cells). We identified nine immune cell clusters and eight T cell subclusters, and three of these (exhausted CD4+ and CD8+ T cells and interferon-responsive CD8+ T cells) were detected only in samples from HIV-infected donors. An inhibitory receptor KLRG1 was identified in a HIV-1 specific exhausted CD8+ T cell population expressing KLRG1, TIGIT, and T-betdimEomeshi markers. Ex-vivo antibody blockade of KLRG1 restored the function of HIV-specific exhausted CD8+ T cells demonstrating the contribution of KLRG1+ population to T cell exhaustion and providing an immunotherapy target to treat HIV chronic infection. These data provide a comprehensive analysis of gene signatures associated with immune cell exhaustion during HIV infection, which could be useful in understanding exhaustion mechanisms and developing new cure therapies.</p
Synthesis, Antiviral Activity, and Mechanisms of Purine Nucleoside Derivatives Containing a Sulfonamide Moiety
Novel
purine nucleoside derivatives containing a sulfonamide moiety
were prepared, as well as their antiviral activities against
potato virus Y (PVY), cucumber mosaic virus (CMV), and tobacco mosaic
virus (TMV) were evaluated. The antiviral mechanisms of the compounds
were investigated. Results showed that most of the compounds had good
antiviral activities. Compound 5 at 500 μg/mL exhibited
excellent curative and protective activities of 52.5% and 60.0% and
of 52.0% and 60.2% for PVY and CMV, respectively, which are higher
than those of ningnanmycin (48.1%, 49.6%; 45.3%, 47.7%), ribavirin
(38.3%, 48.2%; 40.8%, 45.5%), and chitosan oligosaccharide (32.5%,
33.8%; 35.1%, 34.6%). Moreover, compound 5 displayed
good inactivating activity against TMV, with an EC50 value
of 48.8 μg/mL, which is better than that of ningnanmycin (84.7
μg/mL), ribavirin (150.4 μg/mL), and chitosan oligosaccharide
(521.3 μg/mL). The excellent antiviral activity of compound 5 is related to its immune induction effect which can regulate
the physiological and biochemical processes in plants, including defense-related
enzyme activities, defense-related genes, and photosynthesis-related
proteins. These results indicate that purine nucleoside derivatives
containing a sulfonamide moiety are worthy of further research and
development as new antiviral agents
Piezotronic Effect-Augmented Cu<sub>2–<i>x</i></sub>O–BaTiO<sub>3</sub> Sonosensitizers for Multifunctional Cancer Dynamic Therapy
Ultrasound
(US)-triggered sonodynamic therapy (SDT) based on semiconductor
nanomaterials has attracted considerable attention for cancer therapy.
However, most inorganic sonosensitizers suffer from low efficiency
due to the rapid recombination of electron–hole pairs. Herein,
the Cu2–xO–BaTiO3 piezoelectric heterostructure was fabricated as a sonosensitizer
and chemodynamic agent, simultaneously, for improving reactive oxygen
species (ROS) generation and cancer therapeutic outcome. Under US
irradiation, the Cu2–xO–BaTiO3 heterojunction with a piezotronic effect exhibits high-performance
singlet oxygen (1O2) and hydroxyl radical (•OH)
generation to enhance SDT. Moreover, it possesses Fenton-like reaction
activity to convert endogenous H2O2 into •OH
for chemodynamic therapy (CDT). The integration of SDT and CDT substantially
boosts ROS generation and cellular mitochondria damage, and the in
vitro and in vivo results demonstrate high cytotoxicity and tumor
inhibition on murine refractory breast cancer. This work realizes
improvement in cancer therapy using piezoelectric heterostructures
with piezotronic effects
Machine Learning Approaches-Driven for Mortality Prediction for Patients Undergoing Craniotomy in ICU
We aimed to predict the mortality of patients with craniotomy in ICU by using predictive models to extract the high-risk factors leading to the death of patients from a retrospective a study. Five machine-learning (ML) algorithms were applied for training on mortality predictive models with the data from a surgical intensive care unit (ICU) database of the Fujian Provincial Hospital in China. The accuracy, precision, recall, f1 score and the area under the receiver operator characteristic curve (AUC) were used to evaluate the performance of different models, and the calibration of the model was evaluated by brier score. We demonstrated that eXtreme Gradient Boosting (XGBoost) was more suitable for the task, demonstrating a AUC of 0.84. We analyzed the feature importance with the Local Interpretable Model-agnostic Explanations (LIME) analysis and further identified the high-risk factors of mortality in ICU through this study. This study established the mortality predictive model of patients who had undergone craniotomy in ICU. Identification of the factors that had great influence on mortality has the potential to provide auxiliary decision support for clinical medical staff on their practices.</p
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