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Antioxidant activity of ginseng cultivated under mountainous forest with different growing years
Pan, Hong-Yan,Qu, Yang,Zhang, Jian-Kui,Kang, Ting-Guo,Dou, De-Qiang The Korean Society of Ginseng 2013 Journal of Ginseng Research Vol.37 No.3
Ginseng cultivated and grown naturally under mountainous forest is formally called "Lin-Xia-Shan-Shen" (LXSS) and grown in manual condition is called garden ginseng (GG) according to Chinese pharmacopoeia (2010 edition). Usually the growing condition of LXSS is similar to wild ginseng and mostly used in Chinese folks in ancient times. The antioxidant properties of LXSS with different growing years were evaluated by their inhibitions of thiobarbituric acid-reactive substance (TBA-RS) formation in liver homogenate and 2, 2-diphenyl-1-picrylhydrazyl (DPPH)-radical scavenging activity comparing with those of GG. The inhibitions of different polar extracts (n-butanol and water) of LXSS and GG on TBA-RS formation were also evaluated. The results showed that the antioxidant effects of LXSS were higher than those of GG and the TBA-RS formation inhibition of LXSS with longer growing years were stronger than those with shorter growing years, while the DPPH-radical scavenging activity of LXSS did not show significant difference with the change of the growing year. The results indicated that the inhibitory effect of TBA-RS formation and the DPPH-radical scavenging of LXSS were correlated with the contents of ginsenosides. In adddition, the starch contents of LXSS and GG were determined by micro-amount method with spectrophotometer. It showed that the starch content in GG was higher than that of LXSS whose starch decreased gradually with the growing year.
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Antioxidant activity of ginseng cultivated under mountainous forest with different growing years
Hong-Yan Pan,Yang Qu,Jian-Kui Zhang,Ting-Guo Kang,De-Qiang Dou 고려인삼학회 2013 Journal of Ginseng Research Vol.37 No.3
Ginseng cultivated and grown naturally under mountainous forest is formally called “Lin-Xia-Shan-Shen” (LXSS) and grown in manual condition is called garden ginseng (GG) according to Chinese pharmacopoeia (2010 edition). Usually the growing condition of LXSS is similar to wild ginseng and mostly used in Chinese folks in ancient times. The antioxidant properties of LXSS with different growing years were evaluated by their inhibitions of thiobarbituric acid-reactive substance (TBA-RS) formation in liver homogenate and 2, 2-diphenyl-1-picrylhydrazyl (DPPH)-radical scavenging activity comparing with those of GG. The inhibitions of different polar extracts (n-butanol and water) of LXSS and GG on TBA-RS formation were also evaluated. The results showed that the antioxidant effects of LXSS were higher than those of GG and the TBARS formation inhibition of LXSS with longer growing years were stronger than those with shorter growing years, while the DPPH-radical scavenging activity of LXSS did not show significant difference with the change of the growing year. The results indicated that the inhibitory effect of TBA-RS formation and the DPPH-radical scavenging of LXSS were correlated with the contents of ginsenosides. In adddition, the starch contents of LXSS and GG were determined by micro-amount method with spectrophotometer. It showed that the starch content in GG was higher than that of LXSS whose starch decreased gradually with the growing year.
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Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Hong Pan,Guoqing Gui,Zhibin Lin,Changhui Yan 대한토목학회 2018 KSCE Journal of Civil Engineering Vol.22 No.3
Structural systems are often exposed to harsh environment, while these environmental factors in turn could degrade the system over time. Their health state and structural conditions are key for structural safety control and decision-making management. Although great efforts have been paid on this field, the high level of variability due to noise and other interferences, and the uncertainties associated with data collection, structural performance and in-service operational environments post great challenges in finding information to assist decision making. The machine learning techniques in recent years have been gaining increasing attentions due to their merits capturing information from statistical representation of events and thus enabling making decision. In this study, the deep Bayesian Belief Network Learning (DBBN) was used to extract structural information and probabilistically determine structural conditions. Different to conventional shallow learning that highly relies on the quality of the hand-crafted features, the deep learning is an end-to-end method to encode the information and interpret vast amount of data with minimizing or no features. A case study was conducted to address the methods for structure under viabilities and uncertainties due to operation, damage and noise interferences. Numerical results revealed that the deep learning exhibits considerably enhanced accuracy for structural diagnostics, as compared to the supervised shallow learning. With predetermined training set, the DBBN could accurately determine the structural health state in terms of damage level, which could dramatically help decision making for further structural retrofit or not. Note that the noise interference could contaminate the data representation and in turn increase the difficulty of the data mining, though the deep learning could reduce the impacts, as compared to conventional shallow learning techniques.
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Yan, Jun-Hong,Pan, Lei,Zhang, Xiao-Min,Sun, Cui-Xiang,Cui, Guang-He Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.8
Background: It is controversial whether Tai Chi (TC) benefits breast cancer survivors (BCS) on quality of life (QoL). We therefore undertook a meta-analysis to assess this question. Materials and Methods: A computerized search through electronic databases was performed to identify relevant randomized controlled trials (RCTs). The primary outcome was QoL, while secondary outcomes included body mass index (BMI), bone mineral density (BMD), and muscle strength. Results: Five RCTs involving 407 patients were included in the meta-analysis. The pooled standardized mean differences were 0.10 (95% confidence interval (CI): -0.35-0.54) for physical well-being, 0.03 (95%CI: -0.18-0.25) for social/family well-being, 0.24 (95%CI: 0.02-0.45) for emotional well-being, 0.23 (95%CI: -0.03-0.49) for functional well-being, and 0.09 (95%CI: -0.19-0.36) for additional concerns. TC failed to improve BMI, BMD, and muscle strength. Conclusions: There is currently lack of sufficient evidence to support TC improving QoL and other important clinical endpoints.
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Ling‑Hong Miao,Wen‑Jing Pan,Yan Lin,Bo Liu,Ming‑Chun Ren,Qun‑Lan Zhou,Xian‑Ping Ge 한국유전학회 2017 Genes & Genomics Vol.39 No.12
The objective of this study was to analyze the target genes and regulatory function of miR-34a in Megalobrama amblycephala using second-generation highthroughput sequencing and bioinformatic tools. Functional enrichment analysis was performed by gene ontology. MiR- 34a and target gene expression levels were measured in M. amblycephala fed normal and high-carbohydrate diets. The results revealed that miR-34a was highly conserved in several species, and miR-34a of M. amblycephala has a close evolutionary relationship to that of zebrafish and common carp. miRanda, TargetScan, RNAhybrid predicted 5,185, 6,282 and 2,168 target genes, respectively, and 645 target genes were in common. According to annotation information, the target genes were enriched in phosphate metabolism, glycerophospholipid metabolism, Golgi vesicle transport, cell division, and other biological processes (P < 0.05). Pathway enrichment analysis revealed that these target genes were mainly enriched in alpha-linolenic acid and linoleic acid metabolism, ether lipid metabolism, VEGF signaling pathway, Fc epsilon RI signaling pathway, GnRH signaling pathway, and MAPK signaling pathway (P < 0.05). The regulatory role of miR-34a was more significant in the liver than in the brain of M. amblycephala. MiR-34a regulates glucose lipid homeostasis induced by high glucose diets by upregulating hepatic PI3K/Akt, FOXO, and TOR signaling pathways.
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Wen Yan Huang,Jeong Hoon Pan,Inhye Jeong,Seong Ju Oh,Yong Geon Hyun,Moon Seong Kim,Bok Kyung Han,Jiyoun Hong,Yong Tae Koo,Ki Won Lee,Bora Jin,Dongjin Noh,Sangho Kim,김재겸,Eui-Cheol Shin,Young Jun Kim 한국식품영양과학회 2022 Journal of medicinal food Vol.25 No.12
Fatigue is a common complaint among people under stress, causing an array of negative effects on physical function. In this study, we investigated the antifatigue and anti-inflammatory effects of Cervus elaphus L., Angelica gigas Nakai, and Astragalus membranaceus Bunge complex extracts (CAA) using a treadmill stress test in animal models. The mice were administered various doses of CAA (50–200 mg/kg bw per day) once daily for 21 days. After exhaustive treadmill exercise, the running time of CAA-treated mice increased 1.5 times; fatigue-related biochemical parameters, including lactate dehydrogenase (∼30%), creatine kinase (∼20%), and proinflammatory cytokines interleukin (IL)-1β (∼10%), and IL-6 (∼10%) in the serum and muscle tissue were downregulated compared with those in exercised control mice. This study provides strong evidence for the prevention of CAA-induced inflammatory incidences mediated by the blockade of nuclear factor-κB activation. Collectively, our results indicate that CAA can alleviate symptoms of fatigue in mice as an effective anti-inflammatory agent.
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Antimycobacterial Activity of Fusaric Acid from a Mangrove Endophyte and its Metal Complexes
Jia-Hui Pan,Yi Chen,Yu-Hong Huang,Yi-Wen Tao,Jun Wang,Yan Li,Yi Peng,Tao Dong,Xiao-Min Lai,Yong-Cheng Lin 대한약학회 2011 Archives of Pharmacal Research Vol.34 No.7
Due to the increasing prevalence of multidrug-resistant Mycobacterium tuberculosis, there is an urgent need for new antituberculosis drugs that have novel mechanisms of action. As part of our ongoing search for antimycobacterial metabolites from mangrove endophytes, chemical analysis of the active extract of a strain of Fusarium sp. was performed, which led to the isolation of fusaric acid as the predominant constituent. A variety of metal complexes of fusaric acid were prepared. Antimycobacterial assays showed that Cadmium (II) and Copper (II) complexes exhibited potent inhibitory activity against the M. bovis BCG strain [minimum inhibitory concentration (MIC) = 4 μg/mL] and the M. tuberculosis H37Rv strain (MIC = 10 μg/mL), respectively. This is the first report of the antimycobacterial activity of the mangrove Fusarium metabolite and its coordinating metal complexes.
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Qin, Hai-Xia,Cui, Hong-Kai,Pan, Ying,Yang, Jun,Ren, Yan-Fang,Hua, Cai-Hong,Hua, Fang-Fang,Qiao, Yu-Huan Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.7
Objective: To investigate the effects of histone deacetylase 6 (HDAC6) siRNA on cell proliferation and cell apoptosis of the HeLa cervical carcinoma cell line and the molecular mechanisms involved. Methods: Division was into three groups: A, the untreated group; B, the control siRNA group; and C, the HDAC6 siRNA group. Lipofectamine 2000 was used for siRNA transfection, and Western blot analysis was used to determine the protein levels. Cell proliferation and apoptosis were characterized using a CCK-8 assay and flow cytometry, respectively. Results: HDAC6 protein expression in the HDAC6 siRNA-transfection group was significantly lower (P < 0.05) than in the untreated and control siRNA groups. The CCK-8 kit results demonstrated that the proliferation of HeLa cells was clearly inhibited in the HDAC6 siRNA transfection group (P < 0.05). In addition, flow cytometry revealed that the early apoptotic rate ($26.0%{\pm}0.87%$) was significantly elevated (P < 0.05) as compared with the untreated group ($10.6%{\pm}1.19%$) and control siRNA group ($8.61%{\pm}0.98%$). Furthermore, Western blot analysis indicated that bcl-2 protein expression in the HDAC6 siRNA-transfection group was down-regulated, whereas the expression of p21 and bax was up-regulated. Conclusion: HDAC6 plays an essential role in the occurrence and development of cervical carcinoma, and the down-regulation of HDAC6 expression may be useful molecular therapeutic method.
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Zhiming Zhang,Jin Yan,Liangding Li,Hong Pan,Chuan-Zhi Dong 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.29 No.1
Stay cables play an essential role in cable-stayed bridges. Severe vibrations and/or harsh environment may result in cable failures. Therefore, an efficient structural health monitoring (SHM) solution for cable damage detection is necessary. This study proposes a data-driven method for immediately detecting cable damage from measured cable forces by recognizing pattern transition from the intact condition when damage occurs. In the proposed method, pattern recognition for cable damage detection is realized by time series classification (TSC) using a deep learning (DL) model, namely, the long short term memory fully convolutional network (LSTM-FCN). First, a TSC classifier is trained and validated using the cable forces (or cable force ratios) collected from intact stay cables, setting the segmented data series as input and the cable (or cable pair) ID as class labels. Subsequently, the classifier is tested using the data collected under possible damaged conditions. Finally, the cable or cable pair corresponding to the least classification accuracy is recommended as the most probable damaged cable or cable pair. A case study using measured cable forces from an in-service cable-stayed bridge shows that the cable with damage can be correctly identified using the proposed DL-TSC method. Compared with existing cable damage detection methods in the literature, the DL-TSC method requires minor data preprocessing and feature engineering and thus enables fast and convenient early detection in real applications.
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