The Experts below are selected from a list of 17880 Experts worldwide ranked by ideXlab platform
Richard G Brereton - One of the best experts on this subject based on the ideXlab platform.
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self organising maps for variable selection application to human saliva analysed by nuclear magnetic resonance spectroscopy to investigate the effect of an oral Healthcare Product
Chemometrics and Intelligent Laboratory Systems, 2009Co-Authors: Gavin R Lloyd, Kanet Wongravee, Christopher J L Silwood, Martin Grootveld, Richard G BreretonAbstract:SOMs (Self Organising Maps) are derived from the machine learning literature and serve as a valuable method for representing data. In this paper, the use of SOMs as a technique for determining the most significant variables (or markers) in a dataset is described. The method is applied to the NMR spectra of 96 human saliva samples, half of which have been treated with an oral rinse formulation and half of which are controls, and 49 variables consisting of bucketed intensities. In addition, three simulations, two of which consist of the same number of samples and variables as the experimental dataset and a third that contains a much larger number of variables, are described. Two of the simulations contain known discriminatory variables, and the remaining is treated as a null dataset without any specific discriminatory variables added. The described SOM method is contrasted to Partial Least Squares Discriminant Analysis, and a list of the markers determined to be most significant using both approaches was obtained and the differences arising are discussed. A SOM Discrimination Index (SOMDI) is defined, whose magnitude relates to how strongly a variable is considered to be a discriminator. In order to ensure that the model is stable and not dependent on the random starting point of the SOM, one hundred iterations were performed and variables that were consistently of high rank were selected. A variety of approaches for data representation are illustrated, and the main theoretical principles of employing SOMs for determining which variables are most significant are outlined. Software used in this paper was written in-house, allowing greater flexibility over existing packages, and tailored for the specific application in hand.
Wang Shizhun - One of the best experts on this subject based on the ideXlab platform.
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sobering Healthcare Product
2015Co-Authors: Wang ShizhunAbstract:The invention discloses a sobering Healthcare Product. The Healthcare Product comprises flowers of kudzuvine, wheat germs, tomatoes, citrus, apples, grapes, honey, bananas and grapefruit. The Healthcare Product per 100 g comprises, by weight, 10%-15% of flowers of kudzuvine, 5%-8% of wheat germ, 15%-18% of tomato, 6%-10% of citrus, 5%-8% of apple, 8%-12% of grape, 10%-15% of honey, 12%-16% of banana and 10%-15% of grapefruit. The Healthcare Product can be made into mud pellet oral administration or powdery beverages. The Healthcare Product has the advantages that the alcohol metabolism can be promoted through the Healthcare Product, the headache after drinking is relieved, the effect of alcohol can be rapidly dispelled, the effects of tonifying the spleen and protecting the liver are achieved, and the harm to the human body from the alcohol can be effectively reduced.
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brain strengthening Healthcare Product for children
2015Co-Authors: Wang ShizhunAbstract:The present invention discloses a brain strengthening Healthcare Product for children. Components of the brain strengthening Healthcare Product comprise salmon, eggs, bananas, lemons, peanuts, lean beef, sesame, sweet potatoes and auxiliary materials. Every 100g of the brain strengthening Healthcare Product comprises the following components in percentage by weight: salmon 2%-4%, eggs 6%-10%, bananas 6%-10%, lemons 5%-8%, peanuts 4%-10%, lean beef 1%-5%, sesame 2%-6%, sweet potatoes 3%-8% and auxiliary materials 45%-60%. The auxiliary materials are legumes, brown rice and oats. The brain strengthening Healthcare Product is prepared and packaged as oral liquid or powder. The brain strengthening Healthcare Product is suitable for children aging from 1 to 5. The beneficial effects of the brain strengthening Healthcare Product are that the Healthcare Product can improve nourishment supply for the brain, strengthen nourishment absorption by the body, enhance the cognitive capability, the acceptive capability and the creative capability of children, increase the activity of brain cells, enhance memorizing and understanding abilities and maintain health and vigor of the brain, enabling children to be more intelligent.
Jinyong Peng - One of the best experts on this subject based on the ideXlab platform.
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Protection by the Total Flavonoids from Rosa laevigata Michx Fruit against Lipopolysaccharide-Induced Liver Injury in Mice via Modulation of FXR Signaling
MDPI AG, 2018Co-Authors: Lile Dong, Xu Han, Xufeng Tao, Linlin Fang, Lianhong Yin, Jinyong PengAbstract:We previously reported the effects of the total flavonoids (TFs) from Rosa laevigata Michx fruit against carbon tetrachloride-induced liver damage, non-alcoholic fatty liver disease, and liver ischemia-reperfusion injury. However, there have been no papers reporting the role of R. laevigata TFs against lipopolysaccharide (LPS)-induced liver injury. In this paper, liver injury in mice was induced by LPS, and R. Laevigata extract was intragastrically administered to the mice for 7 days. Biochemical parameters in serum and liver tissue were examined, and pathological changes were observed by transmission electron microscopy, hematoxylin and eosin (H&E) and Oil Red O staining. The results showed that the TFs markedly reduced serum ALT (alanine transferase), AST (aspartate transaminase), TG (total triglyceride), and TC (total cholesterol) levels and relative liver weights and improved liver pathological changes. In addition, the TFs markedly decreased tissue MDA (malondialdehyde) level and increased the levels of SOD (superoxide dismutase) and GSH-Px (glutathione peroxidase). A mechanistic study showed that the TFs significantly increased the expression levels of Nrf2 (nuclear erythroid factor2-related factor 2), HO-1 (heme oxygenase-1), NQO1 (NAD(P)H dehydrogenase (quinone 1), GCLC (glutamate-cysteine ligase catalytic subunit), and GCLM (glutamate-cysteine ligase regulatory subunit) and decreased Keap1 (Kelch-like ECH-associated protein 1) level by activating FXR (farnesoid X receptor) against oxidative stress. Furthermore, the TFs markedly suppressed the nuclear translocation of NF-κB (nuclear factor-kappa B) and subsequently decreased the expression levels of IL (interleukin)-1β, IL-6, HMGB-1 (high -mobility group box 1), and COX-2 (cyclooxygenase-2) by activating FXR and FOXO3a (forkhead box O3) against inflammation. Besides, the TFs obviously reduced the expression levels of SREBP-1c (sterol regulatory element-binding proteins-1c), ACC1 (acetyl-CoA carboxylase-1), FASN (fatty acid synthase), and SCD1 (stearoyl-coenzyme A desaturase 1), and improved CPT1 (carnitine palmitoyltransferase 1) level by activating FXR to regulate lipid metabolism. Our results suggest that TFs exhibited protective effect against LPS-induced liver injury by altering FXR-mediated oxidative stress, inflammation, and lipid metabolism, and should be developed as an effective food and Healthcare Product for the therapy of liver injury in the future
Gavin R Lloyd - One of the best experts on this subject based on the ideXlab platform.
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self organising maps for variable selection application to human saliva analysed by nuclear magnetic resonance spectroscopy to investigate the effect of an oral Healthcare Product
Chemometrics and Intelligent Laboratory Systems, 2009Co-Authors: Gavin R Lloyd, Kanet Wongravee, Christopher J L Silwood, Martin Grootveld, Richard G BreretonAbstract:SOMs (Self Organising Maps) are derived from the machine learning literature and serve as a valuable method for representing data. In this paper, the use of SOMs as a technique for determining the most significant variables (or markers) in a dataset is described. The method is applied to the NMR spectra of 96 human saliva samples, half of which have been treated with an oral rinse formulation and half of which are controls, and 49 variables consisting of bucketed intensities. In addition, three simulations, two of which consist of the same number of samples and variables as the experimental dataset and a third that contains a much larger number of variables, are described. Two of the simulations contain known discriminatory variables, and the remaining is treated as a null dataset without any specific discriminatory variables added. The described SOM method is contrasted to Partial Least Squares Discriminant Analysis, and a list of the markers determined to be most significant using both approaches was obtained and the differences arising are discussed. A SOM Discrimination Index (SOMDI) is defined, whose magnitude relates to how strongly a variable is considered to be a discriminator. In order to ensure that the model is stable and not dependent on the random starting point of the SOM, one hundred iterations were performed and variables that were consistently of high rank were selected. A variety of approaches for data representation are illustrated, and the main theoretical principles of employing SOMs for determining which variables are most significant are outlined. Software used in this paper was written in-house, allowing greater flexibility over existing packages, and tailored for the specific application in hand.
Hamadi Fetoui - One of the best experts on this subject based on the ideXlab platform.
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protective role of naringin against cisplatin induced oxidative stress inflammatory response and apoptosis in rat striatum via suppressing ros mediated nf κb and p53 signaling pathways
Chemico-Biological Interactions, 2015Co-Authors: Yassine Chtourou, Bakhta Aouey, Mohammed Kebieche, Hamadi FetouiAbstract:Cisplatin (Cis) is an effective chemotherapeutic agent successfully used in the treatment of a wide range of malignancies while its usage is limited due to its dose-dependent toxicity. The present study was conducted to investigate the efficacy of naringin, an ubiquitous flavonoid, against Cis-induced striatum injury in Wistar aged rats. Briefly, the experimental procedures were divided in two sets of experiments. In the first, the animals were divided into 4 groups: control, Nar 25mg/kg, Nar 50mg/kg and Nar 100mg/kg. In the second, the animals were divided into 4 groups: Cis (5mg/kg/week for 5 consecutive weeks), Cis+Nar (25mg/kg), Cis+Nar (50mg/kg) and Cis+Nar (100mg/kg). The administration of Cis (5mg/kg/week for 5 consecutive weeks) resulted in a decline in the concentrations of reduced glutathione and ascorbic acid. The activity of membrane bound ATPases and glutathione peroxidase (GPx) were decreased while the activity of catalase (CAT) and superoxide dismutase (SOD) were increased. Further, in striatum tissue, Cis significantly enhance the mRNA gene expression of P53, nuclear factor κB pathway (NFκB) and tumor necrosis factor (TNF-α). Oxidative/nitrosative stress was evident in Cis group by increased malondialdehyde (MDA), protein carbonyls (PCO), reactive oxygen species (ROS) and nitrite concentration (NO). Naringin (25, 50 and 100mg/kg) administration was able to protect against deterioration in striatum tissue, abrogate the change in antioxidant enzyme activities and suppressed the increase in MDA, PCO, NO and TNF-α concentrations. Moreover, Nar inhibited P53, NFkB and TNF-α pathways mediated inflammation and apoptosis, and improved the histological changes induced by Cis. Thus, these findings demonstrated the neuroprotective nature of Nar by attenuating the pro-inflammatory and apoptotic mediators and improving antioxidant competence in striatum tissue. These results imply that Nar has perfect effect against Cis-induced striatum injury in aged rats, which should be developed as an effective food and Healthcare Product for the treatment of brain injury in the future.
