Probabilistic model of influenza virus transmissibility at various temperature and humidity conditions

The spread efficiency of influenza virus is significantly affected by several environmental parameters. However, neither the underlying reasons, nor the exact character and magnitude of the phenomena involved are sufficiently well understood. Here we present a probabilistic approach to the virus transmission events. For a sample ensemble, we construct a model of the infectivity as a function of the ambient conditions, and we determine its parameter values on the basis of the available experimental data.     

Anti-influenza effect of the major flavonoids from Salvia plebeia R.Br. via inhibition of influenza H1N1 virus neuraminidase

To determine the compounds responsible for its anti-influenza activities, we isolated the three flavonoids, 6-hydroxyluteolin 7-O-β-d-glucoside (1), nepitrin (2), homoplantaginin (3) from the MeOH extract of Salvia plebeia R.Br. and identified them by comparing the spectroscopic data with that reported in the literature. The contents of the three flavonoids in the whole extract were 108.74 ± 0.95, 46.26 ± 2.19, and 69.35 ± 1.22 mg/g for 6-hydroxyluteolin 7-O-β-d-glucoside, nepitrin, and homoplantaginin, respectively, which demonstrates that they are the major constituents of this plant. The three flavonoids were evaluated for their inhibitory activities against influenza virus H1N1 A/PR/9/34 neuraminidase and H1N1-induced cytopathic effect (CPE) on Madin-Darby canine kidney (MDCK) cells. Our results demonstrated the following arrangement for their anti-influenza activities: nepitrin (2) > 6-hydroxyluteolin 7-O-β-d-glucoside (1) > homoplantaginin (3). The potent inhibitory activities of these flavonoids against influenza suggested their potential to be developed as novel anti-influenza drugs in the future.     

Material basis studies of anti‐Influenza A active ingredients in Tanreqing Injection

Tanreqing Injection (TRQ) has been used primarily in treating infections of the upper respiratory tract and serious influenza in China, as a classical compound herbal recipe. TRQ had been demonstrated to have effects of clearing heat, eliminating phlegm, detoxification, reducing inflammation and alleviating cough. The survival rate, histopathology of lungs and viral titers in mice were evaluated in this study to verify the curative effect of TRQ. However, there is not enough information about the components. In the present study, a high‐performance and practical LC/QTOF/MS method was developed for characterization and identification of the natural ingredients in TRQ. A total of 60 compounds, including 10 amino acids, 10 iridoid glucosides, 14 flavonoids, 13 other phenolic compounds, 10 steroid acids and three other compounds, were characterized and identified. We also confirmed the material basis of anti‐Influenza A active ingredients in TRQ. Therefore, we have developed an accurate analytical method. LC/QTOF/MS could be applied for identification the complex components in traditional Chinese medicine.     

Enantioselective syntheses of (−)-pinellic acid, α- and β-dimorphecolic acid

An efficient enantioselective convergent approach for the synthesis of (−)-pinellic acid 1, α- and β-dimorphecolic acid (2 and 3) from 1,9-nonane diol is described. The synthetic strategy features Sharpless asymmetric hydroxylation, Sonogashira coupling and Birch reduction.     

Total synthesis of (9S,12R,13S)-pinellic acid

The total synthesis of (9S,12R,13S)-pinellic acid, a novel and potentially useful oral adjuvant, isolated from Pinelliae tuber has been accomplished.     

Detection of influenza A virus using carbon nanotubes field effect transistor based DNA sensor

The carbon nanotubes field effect transistor (CNTFET) based DNA sensor was developed, in this paper, for detection of influenza A virus DNA. Number of factors that influence the output signal and analytical results were investigated. The initial probe DNA, decides the available DNA strands on CNTs, was 10 µM. The hybridization time for defined single helix was 120 min. The hybridization temperature was set at 30 °C to get a net change in drain current of the DNA sensor without altering properties of any biological compounds. The response time of the DNA sensor was less than one minute with a high reproducibility. In addition, the DNA sensor has a wide linear detection range from 1 pM to 10 nM, and a very low detection limit of 1 pM. Finally, after 7-month storage in 7.4 pH buffer, the output signal of DNA sensor recovered 97%.     

利用网络药理学方法研究热毒宁注射液抗流感病毒的分子作用机制

采用分子对接、网络分析预测热毒宁注射液抗流感病毒的分子作用机制, 并通过已建立的体外流感病毒神经氨酸酶筛选模型对网络预测结果验证. 结果表明, 热毒宁注射液所含化合物在化学空间上具有类药性质; 网络分析揭示出热毒宁注射液是通过与流感病毒吸附、脱壳、复制以及释放等环节的多个蛋白相互作用发挥抗流感病毒作用的; 对于预测的15 个活性分子而言, 实验结果初步证实, 对A型流感病毒, 木犀草素呈现较强的抑制作用, 槲皮素则呈现较弱的抑制作用, 这也初步证实了预测结果.     

Reservation and allocation policies for influenza vaccines

This research investigates the impact of alternative allocation mechanisms that can be employed in the context of vaccine inventory rationing. Available vaccine inventory can be allocated to arrivals from high priority (target groups such as healthcare professionals) and low priority (non-target groups) demand classes using Partitioned Allocation (PA), Standard Nesting (SN), and Theft Nesting (TN). In any one of the mechanisms, a part of the available inventory is reserved for the exclusive use of the high priority demand class. They differ, however, in how the unreserved portion of the inventory is utilized: Under PA, demand from the high (low) priority class consumes only the reserved (unreserved) quantity. Under SN, demand from the high priority class first consumes the reserved quantity; once and if this quantity is exhausted, high priority demand competes with low priority demand for the remaining inventory. Under TN the sequence of allocation is reversed: both demand classes first compete for the unreserved inventory. Once this portion of inventory is exhausted, high priority demand is fulfilled from the reserved inventory and low priority demand is rejected. We develop service level (probability of fulfilling the entire demand) and fill rate (fraction of demand fulfilled) expressions for all three allocation mechanisms. Based on these expressions, numerical analyses are conducted to illustrate which allocation mechanism a health planner should choose depending on the availability of vaccines, and how the health planner should set the reserved quantity for the high priority class. We observe that (1) there exist certain conditions under which one of the allocation mechanisms outperforms the others and (2) this effect is determined by the decision maker’s choice of the performance measure.     

Detection of influenza A virus based on fluorescence resonance energy transfer from quantum dots to carbon nanotubes

In this paper, a simple and sensitive approach for H5N1 DNA detection was described based on the fluorescence resonance energy transfer (FRET) from quantum dots (QDs) to carbon nanotubes (CNTs) in a QDs-ssDNA/oxCNTs system, in which the QDs (CdTe) modified with ssDNA were used as donors. In the initial stage, with the strong interaction between ssDNA and oxCNTs, QDs fluorescence was effectively quenched. Upon the recognition of the target, the effective competitive bindings of it to QDs-ssDNA occurred, which decreased the interactions between the QDs-ssDNA and oxCNTs, leading to the recovery of the QDs fluorescence. The recovered fluorescence of QDs was linearly proportional to the concentration of the target in the range of 0.01–20 μM with a detection limit of 9.39 nM. Moreover, even a single-base mismatched target with the same concentration of target DNA can only recover a limited low fluorescence of QDs, illustrating the good anti-interference performance of this QDs-ssDNA/oxCNTs system. This FRET platform in the QDs-ssDNA/oxCNTs system was facilitated to the simple, sensitive and quantitative detection of virus nucleic acids and could have a wide range of applications in molecular diagnosis.