Evaluation of the immunogenicity and protective efficacy of an inactivated vaccine candidate for sheep infected with ovine parainfluenza virus type 3.

Respiratory diseases constitute a major health problem for ruminants, resulting in considerable economic losses throughout the world. Parainfluenza type 3 virus (PIV3) is one of the most important respiratory pathogens of ruminants. The pathogenicity and phylogenetic analyses of PIV3 virus have been reported in sheep and goats. However, there are no recent studies of the vaccination of sheep or goats against PIV3. Here, we developed a purified inactivated ovine parainfluenza virus type 3 (OPIV3) vaccine candidate. In addition, we immunized sheep with the inactivated OPIV3 vaccine and evaluated the immune response and pathological outcomes associated with OPIV3 TX01 infection. The vaccinated sheep demonstrated no obvious symptoms of respiratory tract infection, and there were no gross lesions or pathological changes in the lungs. The average body weight gain significantly differed between the vaccinated group and the control group (P < 0.01). The serum neutralization antibody levels rapidly increased in sheep post-vaccination and post-challenge with OPIV3. Furthermore, viral shedding in nasal swabs and viral loads in the lungs were reduced. The results of this study suggest that vaccination with this candidate vaccine induces the production of neutralizing antibodies and provides significant protection against OPIV3 infection. These results may be helpful for further studies on prevention and control strategies for OPIV3 infections.

Multibarrier-penetrating drug delivery systems for deep tumor therapy based on synergistic penetration strategy.

Nanotherapies, valued for their high efficacy and low toxicity, frequently serve as antitumor treatments, but do not readily penetrate deep into tumor tissues and cells. Here we developed an improved tumor-penetrating peptide (TPP)-based drug delivery system. Briefly, the established TPP iNGR was modified to generate a linear NGR peptide capable of transporting nanotherapeutic drugs into tumors through a CendR pathway-dependent, neuropilin-1 receptor-mediated process. Although TPPs have been reported to reach intended tumor targets, they often fail to penetrate cell membranes to deliver tumoricidal drugs to intracellular targets. We addressed this issue by harnessing cell penetrating peptide technology to develop a liposome-based multibarrier-penetrating delivery system (mbPDS) with improved synergistic drug penetration into deep tumor tissues and cells. The system incorporated doxorubicin-loaded liposomes coated with nona-arginine (R9) CPP and cyclic iNGR (CRNGRGPDC) molecules, yielding Lip-mbPDS. Lip-mbPDS tumor-targeting, tumor cell/tissue-penetrating and antitumor capabilities were assessed using CD13-positive human fibrosarcoma-derived cell (HT1080)-based in vitro and in vivo tumor models. Lip-mbPDS evaluation included three-dimensional layer-by-layer confocal laser scanning microscopy, cell internalization/toxicity assays, three-dimensional tumor spheroid-based penetration assays and antitumor efficacy assays conducted in an animal model. Lip-mbPDS provided enhanced synergistic drug penetration of multiple biointerfaces for potentially deep tumor therapeutic outcomes.

A practical and rapid screening method for influenza virus neuraminidase inhibitors based on fluorescence detection.

A new analytical method for rapid screening of influenza virus neuraminidase inhibitors was established. The method is based on the principle that, given a certain amount of neuraminidase, the sample and the neuraminidase act in the microplate for a period of time, and the active neuraminidase that is not inhibited by the sample can generate a fluorescence value at a specific wavelength after binding to the substrate, and the rate of inhibition of neuraminidase by the sample can be calculated based on the actual detected fluorescence value. This newly developed method was used to screen and evaluate the in vitro anti-neuraminidase activity of 39 high-purity compounds contained in three traditional Chinese herbal medicines, and finally 25 compounds with strong activity were obtained. The newly established neuraminidase inhibitor analytical method has these advantages of practicality, rapidity, high sensitivity and low cost, and has a good value for promotion and application. This article newly establishes a rapid, sensitive, simple and practical screening method for influenza virus neuraminidase inhibitors, which is a great complement to the existing methods and has a good promotion and application value.

Prediction of Duration of Traffic Incidents by Hybrid Deep Learning Based on Multi-Source Incomplete Data.

Traffic accidents causing nonrecurrent congestion and road traffic injuries seriously affect public safety. It is helpful for traffic operation and management to predict the duration of traffic incidents. Most of the previous studies have been in a certain area with a single data source. This paper proposes a hybrid deep learning model based on multi-source incomplete data to predict the duration of countrywide traffic incidents in the U.S. The text data from the natural language description in the model were parsed by the latent Dirichlet allocation (LDA) topic model and input into the bidirectional long short-term memory (Bi-LSTM) and long short-term memory (LSTM) hybrid network together with sensor data for training. Compared with the four benchmark models and three state-of-the-art algorithms, the RMSE and MAE of the proposed method were the lowest. At the same time, the proposed model performed best for durations between 20 and 70 min. Finally, the data acquisition was defined as three phases, and a phased sequential prediction model was proposed under the condition of incomplete data. The results show that the model performance was better with the update of variables.

Recent advances in wearable medical diagnostic sensors and new therapeutic dosage forms for fever in children.

Fever in children is one of the most common symptoms of pediatric diseases and the most common complaint in pediatric clinics, especially in the emergency department. Diseases such as pneumonia, sepsis, and meningitis are leading causes of death in children, and the early manifestations of these diseases are accompanied by fever symptoms. Accurate diagnosis and real-time monitoring of the status of febrile children, rapid and effective identification of the cause, and treatment can have a positive impact on relieving their symptoms and improving their quality of life. In recent years, wearable diagnostic sensors have attracted special attention for their high flexibility, real-time monitoring, and sensitivity. Temperature sensors and heart rate sensors have provided new advances in detecting children's body temperature and heart rate. Furthermore, some novel formulations have also received wide attention for addressing bottlenecks in medication administration for febrile children, such as difficulty in swallowing and inaccurate dosing. In this context, the present review provides recent advances of novel wearable medical sensor devices for diagnosing fever. Moreover, the application progress of innovative dosage forms of classical antipyretic drugs for children is presented. Finally, challenges and prospects of wearable sensor-based diagnostics and novel agent-based treatment of fever in children are discussed in brief.

Dual role of the nasal microbiota in neurological diseases-An unignorable risk factor or a potential therapy carrier.

Recently, comparative studies have rapidly increased with the closer correlation between microbiota and neurological diseases. However, most insights about the association between microbiota and neurological diseases still focus on the gut-brain axis and ignore that nasal microbiota could form a complex and essential link with the nervous system via the nose-to-brain pathway, suggesting the role in modulating the immune system, metabolic system, and nervous system development, which influence the physiopathology of neurological diseases. Due to the complex interactions between nasal microbiota and the brain, the nasal microbiota may have a particular pathogenic effect and therapeutic potential on neurological diseases. Therefore, this review aims to deeply analyze the dual effects of nasal microbiota on neurological diseases, focusing on pathogenic and therapeutic effects to provide a new perspective for preventing and treating neurological diseases by altering nasal microbiota. This review concludes the bidirectional effects of nasal microbiota on neurological diseases, including the pathogenicity and potential treatment on Alzheimer's disease, Parkinson's disease, Multiple sclerosis, and Stroke. Furthermore, modern medical technology combined with artificial intelligence, including implantable sensors, modeling software, and nanofluid techniques, may further study the complex effects between nasal microbiota and the brain, thereby providing new options for treating neurological diseases.

[Chemical analysis of classical prescription Qianghuo Shengshi Standard Decoction by UHPLC-Q Exactive Orbitrap MS].

A UHPLC-Q Exactive Orbitrap MS method was used to analyze the chemical constituents of the classical prescription Qianghuo Shengshi Standard Decoction(QHSS). UHPL conditions were as follows: Waters~(TM) UPLC~(TM) HSS T3 C_(18) column(2.1 mm×100 mm, 1.7 µm) and mobile phase of acetonitrile-0.1% formic acid aqueous solution. Mass spectrometry data of QHSS, each herb extract, and negative sample were collected in both positive and negative ion modes. The chemical constituents of QHSS were identified or tentatively identified based on the accurate molecular weight, retention time, MS fragmentation, comparison with reference substances, and literature reports. A total of 141 compounds were identified, including 18 amino acids, oligosaccharides, oligopeptides, and their derivatives, 19 phenolic acids, 44 coumarins, 18 flavonoids and chromones, 13 saponins, 17 phthalides, and 12 other components. This study comprehensively characterized the chemical constituents of QHSS, laying an experimental basis for the in-depth research on the material basis and quality control of QHSS.

Traditional Uses, Pharmacological Effects, and Molecular Mechanisms of Licorice in Potential Therapy of COVID-19.

The current Coronavirus disease 2019 (COVID-19) pandemic has become a global challenge, and although vaccines have been developed, it is expected that mild to moderate patients will control their symptoms, especially in developing countries. Licorice, not only a food additive, but also a common traditional Chinese herbal medicine, which has several pharmacological effects, such as anti-inflammation, detoxification, antibacterial, antitussive, and immunomodulatory effects, especially in respiratory diseases. Since the outbreak of COVID-19, glycyrrhizin, glycyrrhizin diamine and glycyrrhizin extract have been widely studied and used in COVID-19 clinical trials. Therefore, it is a very interesting topic to explore the material basis, pharmacological characteristics and molecular mechanism of licorice in adjuvant treatment of COVID-19. In this paper, the material basis of licorice for the prevention and treatment of COVID-19 is deeply analyzed, and there are significant differences among different components in different pharmacological mechanisms. Glycyrrhizin and glycyrrhetinic acid inhibit the synthesis of inflammatory factors and inflammatory mediators by blocking the binding of ACE 2 to virus spike protein, and exert antiviral and antibacterial effects. Immune cells are stimulated by multiple targets and pathways to interfere with the pathogenesis of COVID-19. Liquiritin can prevent and cure COVID-19 by simulating type I interferon. It is suggested that licorice can exert its therapeutic advantage through multi-components and multi-targets. To sum up, licorice has the potential to adjuvant prevent and treat COVID-19. It not only plays a significant role in anti-inflammation and anti-ACE-2, but also significantly improves the clinical symptoms of fever, dry cough and shortness of breath, suggesting that licorice is expected to be a candidate drug for adjuvant treatment of patients with early / mild COVID-19.

Amide Derivatives of Ginkgolide B and Their Inhibitory Effects on PAF-Induced Platelet Aggregation.

Ginkgolides are the most important components of Ginkgo biloba extracts, whose lactone can be hydrolyzed in the aqueous environment. Although the hydrolyzed products have complex structures and their functions are not well-understood, opening the lactone ring is an important strategy in producing novel derivatives of ginkgolide. The preparation of a single pure aminolyzed ginkgolide for the study of its bioactivity and understanding of the process of aminolysis are challenging. To obtain stable aminolyzed products, four amide derivatives (2-5) of ginkgolide B (GB, 1) were prepared via the ring-opening reaction of its lactone with propylamine. These products were purified and fully identified by high-resolution mass spectrometry (HRMS) and nuclear magnetic resonance (NMR) spectroscopy and were further evaluated for their ability to inhibit the PAF-induced platelet aggregation of rabbit platelets in vitro. Compound 2, which was obtained by selective aminolysis of the lactone ring C of GB, showed a much better inhibitory activity of platelet aggregation (IC50, 15 nM) than the parent compound GB (IC50, 442 nM). The other three products (3-5), which were obtained by the aminolysis of lactone rings C and F of GB, did not show platelet aggregation inhibitory activity. The results greatly extended our understanding of the chemistry of GB and provided important structural information for the exploration and development of new drugs based on ginkgolides in G. biloba.

Synthesis of crocetin derivatives and their potent inhibition in multiple tumor cells proliferation and inflammatory property of macrophage.

BACKGROUND: Crocetin is a major active component of saffron, which has a wide range of pharmacological effects. However, due to its low solubility, the pharmacological effects of crocetin cannot be better utilized. METHODS: In this study, we modified the chemical structure of crocetin by conjugating with ethylamine and 4-Fluorbenzylamine to enhance its solubility and biological activities. The solubility and the influence of synthesized derivatives on the proliferation of tumor cells and the inflammatory effect of macrophage were investigated. RESULTS: It was shown that, compared with the crocetin, the synthesized derivatives have much higher solubility. Moreover, the inhibitory effect of the derivatives on varieties of tumor cells, including human ovarian carcinoma cell line, human lung cancer cell line, rat melanoma cell line was enhanced after the modification. Besides that, the derivatives were improved for the anti-inflammatory efficacy with the cytotoxicity decreased. CONCLUSIONS: The synthesized derivatives were shown for their good solubility and the great potential in tumor and inflammation treatment.

Synthesis, characterization and inhibitory effects of crocetin derivative compounds in cancer and inflammation.

Crocetin is a natural product possessing extraordinary therapeutic effects for various diseases. However, its extremely low solubility limits its application greatly. Conjugation of organic compounds containing heteroatoms such as N to poor soluble molecules can help the synthesized derivative to form stable hydrogen bonds by lowering the salvation energy, which will improve the solubility of the synthesized compounds. Herein, crocetin was modified by conjugating with piperidyl, diethylin and benzylamine to improve their solubility and bioactivities. In the present study, the conjugation of crocetin with piperidyl, diethylin and benzylamine and their influence on the solubility and the pharmacological effects of crocetin were investigated. With the described strategy, crocetin derivatives were synthesized and their structures were elucidated by 1H NMR, 13C NMR and UPLC-MS spectroscopic analysis. The solubility of crocetin and its derivatives were identified. Upon that, the pharmacological effects of the crocetin derivatives on the tumor and inflammation treatment were investigated. It was shown that, in contrast to crocetin, of which, the solubility and pharmacological effects were low and limited, the synthesized compounds have significantly higher solubility and possess broad spectrum of anticancer effects in multiple tumor cell lines, including B16F10, MCF-7, A549 and SKOV3, as well as enhanced anti-inflammation efficacy in macrophage (RAW264.7) without causing cells damage. Conjugation of piperidyl, diethylin and benzylamine with the crocetin was demonstrated to be a highly efficient strategy to improve the solubility of crocetin. The synthesized crocetin derivatives were shown the promising therapeutics for the tumor and inflammation treatment with high safety.

[Effect of nitrogen, phosphorus and potassium fertilizers on Flos Sophorae Immaturus yield and quality in hilly area of Chongqing].

With Sophora japonica at the flowering stage as the object, the effect of nitrogen, phosphorus and potassium fertilizers on the yield composition factors, yield and quality of Flos Sophorae Immaturus (FSI) was studied. The results indicated that in early spring, nitrogen, phosphorus and potassium fertilizer on the amplification rate of S. japonica, FSI yield composition, yield and quality were different significantly, middle to high nitrogen (1.5-2.0 kg/plant) significantly increased the level of panicled clusters, raceme and flower bud number and yield. Phosphorus (1.5-2.0 kg/plant) could significantly increase the total buds of flower number and yield, potassium showed no significant increase in yield and yield components. Comprehensively considering yield and quality of FSI, nitrogen 1.5-2.0 kg/plant, phosphorus 1.5-2.0 kg/plant and potassium 0.6-0.9 kg/plant are appropriate.

Synthesis and cardiomyocyte protection activity of crocetin diamide derivatives.

A series of novel diamide derivatives (2-8) of crocetin (1) were synthesized and evaluated for their cardioprotective activity in vitro. Using well-established model of hypoxia-induced injury in H9c2 cells, we investigated the effects of 9 compounds and positive drug nicorandil on cellular cytotoxicity by MTT assay, mitochondrial viable staining, LDH activity and mitochondrial membrane potential (MMP). Among the new derivatives, compounds 3 and 4 with good liposolubility showed significantly potent activity than crocetin (1) against hypoxia-induced cytotoxicity. Further mechanisms studies indicated that the cardioprotective effect of compounds 3 and 4 was due to these abilities by decreasing LDH release, preserving mitochondrial viabilities and reducing oxidative stress-induced depolarization of MMP. Our results demonstrated that compounds 3 and 4 as a new class of crocetin diamide derivatives could be developed as potential agents in our further drug development studies for ischemic heart disease.

Effect of nitrogen, phosphorus and potassium fertilizers on Flos Sophorae Immaturus yield and quality in hilly area of Chongqing / 中国中药杂志

With Sophora japonica at the flowering stage as the object, the effect of nitrogen, phosphorus and potassium fertilizers on the yield composition factors, yield and quality of Flos Sophorae Immaturus (FSI) was studied. The results indicated that in early spring, nitrogen, phosphorus and potassium fertilizer on the amplification rate of S. japonica, FSI yield composition, yield and quality were different significantly, middle to high nitrogen (1.5-2.0 kg/plant) significantly increased the level of panicled clusters, raceme and flower bud number and yield. Phosphorus (1.5-2.0 kg/plant) could significantly increase the total buds of flower number and yield, potassium showed no significant increase in yield and yield components. Comprehensively considering yield and quality of FSI, nitrogen 1.5-2.0 kg/plant, phosphorus 1.5-2.0 kg/plant and potassium 0.6-0.9 kg/plant are appropriate.

A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine.

Short-term traffic flow prediction is one of the most important issues in the field of intelligent transport system (ITS). Because of the uncertainty and nonlinearity, short-term traffic flow prediction is a challenging task. In order to improve the accuracy of short-time traffic flow prediction, a hybrid model (SSA-KELM) is proposed based on singular spectrum analysis (SSA) and kernel extreme learning machine (KELM). SSA is used to filter out the noise of traffic flow time series. Then, the filtered traffic flow data is used to train KELM model, the optimal input form of the proposed model is determined by phase space reconstruction, and parameters of the model are optimized by gravitational search algorithm (GSA). Finally, case validation is carried out using the measured data of an expressway in Xiamen, China. And the SSA-KELM model is compared with several well-known prediction models, including support vector machine, extreme learning machine, and single KLEM model. The experimental results demonstrate that performance of the proposed model is superior to that of the comparison models. Apart from accuracy improvement, the proposed model is more robust.

Induced Folding Under Membrane Mimetic and Acidic Conditions Implies Undiscovered Biological Roles of Prokaryotic Ubiquitin-Like Protein Pup.

Ubiquitin-like proteins play important roles in diverse biological processes. In Mycobacterium tuberculosis, Pup (prokaryotic ubiquitin-like protein), a functional homologue of eukaryotic ubiquitin, interacts with the proteasome ATPase subunit Mpa to recognize and unfold substrates, and then translocate them into the proteasome core for degradation. Previous studies revealed that, Pup, an intrinsically disordered protein (IDP), adopts a helical structure upon binding to the N-terminal coiled-coil domain of Mpa, at its disordered C-terminal region. In the present study, using circular dichroism (CD), surface plasmon resonance (SPR) and nuclear magnetic resonance (NMR), we show that membrane mimetic and acidic conditions also induce Pup to adopt helical conformations. Moreover, at low pH, Pup, via both of its N- and C-terminal regions, binds to Mpa on sites from the N-terminal region in addition to the C-terminal region of the coiled-coil domain. Our results imply Pup may play undiscovered roles in some biological processes e.g. those involve in membrane.

Cardioprotective effect of valsartan in mice with short-term high-salt diet by regulating cardiac aquaporin 1 and angiogenic factor expression.

Hypertension is the most common risk factor for various cardiovascular and cerebrovascular diseases that affects approximately 61 million, or 25% of the population in United States. The dietary salt intake is one of the most important but modifiable factors for hypertension. In the current study, we aim to elucidate the role of aquaporin 1 in high-salt-induced hypertension and cardiac injuries and whether angiotensin II receptor blocker valsartan could ameliorate the effect of high salt on blood pressure. Mice were fed with normal diet, high-salt diet in the presence or absence of valsartan for 4 weeks. The body weight gain, feeding behavior, blood pressure, and cardiac pathology changes were monitored after 4 weeks. The expression of aquaporin 1, vascular endothelial growth factor, transforming growth factor ß1, and basic fibroblast growth factor were analyzed using quantitative real-time polymerase chain reaction, Western blot, and immunohistochemical staining. Valsartan partially reversed the effects of high-salt diet on hypertension, cardiac injuries such as fibrosis and inflammatory cell infiltration, and inhibition of aquaporin 1 and angiogenic factors; valsartan alone did not exert such effects. The current data demonstrated that the reduction of cardiac aquaporin 1 and angiogenic factor expression level might be associated with high-salt-induced hypertension and cardiac injuries in mice, which could be ameliorated by angiotensin II receptor blocker treatment.

Airborne validation of ground-object detection from polarized neutral-point atmosphere.

Based on the object's polarization effects, polarization is a newly emerging method in the field of remote sensing. Both objects and atmosphere have polarization effects, however, the atmosphere's polarization effects are much stronger than that of objects'. Consequently, atmosphere polarization effects will interfere or even cover objects' when observing with sensors. How to maximally eliminate the polarized effects generated by the atmosphere is a crucial problem in polarization remote sensing. Atmospheric neutral point is an area where the degree of atmosphere polarization is near to zero; therefore, if sensors are set up in this area, atmosphere polarization would be greatly eliminated, which is the main content of separating the effects between objects and atmosphere by its neutral point method. In this paper, after processing and analyzing the experimental data got from the first polarization remote sensing flight experiment with atmosphere neutral point, the degree of polarization images captured in neutral and non-neutral point area were obtained, and it can be seen that the main value of polarized degree of images got in neutral point area was obviously smaller than that in non-neutral point area. The results showed that the theory mentioned above was logical and practical. An innovation in our study is that the requirements needed in polarization remote sensing flight with neutral point were clarified. In the meantime, a qualitative conclusion was drawn that observing with longer wavelength is more applicable to polarization remote sensing.

[Multi-angular polarized characteristics of ocean aerosol].

Ocean aerosol is an important component of troposphere aerosol, playing an important role in the global radiative balance and global climate change. To evaluate the direct and indirect radiative effects of aerosol needs deep research on aerosol properties. Multi-angular polarization provides a new method to retrieve aerosol optic and microphysical properties of aerosol. On the basis of the research on optic properties of ocean aerosol at the wavelength of 550 and 860 nm, a vector radiative transfer model was used to simulate the reflectance and polarized reflectance at the top of atmosphere. The sensitivity of reflectance and polarized reflectance to underlying surface, viewing azimuth and aerosol optic depth are evaluated. The simulation results show that the multi-angular polarization information could effectively provide information about the ocean aerosol, which suggests a useful way for ocean aerosol retrieval. Based on the studies of sensitivity, the theory of using multi-angular polarized remote sensing data to retrieve aerosol information is proposed.

1H, 13C and 15N resonance assignment of the PDZ domain of HtrA from Streptococcus pneumoniae.

HtrA is a major virulence factor of Streptococcus pneumoniae (pneumococcus). HtrA is involved in the ability of the pneumococcus to grow at high temperature, to resist oxidative stress and control the bacteriocin activity. Here we report the resonance assignment of the PDZ domain of HtrA from Streptococcus pneumoniae TIGR4.