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Search Results: 1 - 10 of 27637 matches for " Shiow-Fen Lee "
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Aqueous Extract from Hibiscus sabdariffa Linnaeus Ameliorate Diabetic Nephropathy via Regulating Oxidative Status and Akt/Bad/14-3-3γ in an Experimental Animal Model
Shou-Chieh Wang,Shiow-Fen Lee,Chau-Jong Wang,Chao-Hsin Lee,Wen-Chin Lee,Huei-Jane Lee
Evidence-Based Complementary and Alternative Medicine , 2011, DOI: 10.1093/ecam/nep181
Abstract: Several studies point out that oxidative stress maybe a major culprit in diabetic nephropathy. Aqueous extract of Hibiscus sabdariffa L. (HSE) has been demonstrated as having beneficial effects on anti-oxidation and lipid-lowering in experimental studies. This study aimed at investigating the effects of Hibiscus sabdariffa L. on diabetic nephropathy in streptozotocin induced type 1 diabetic rats. Our results show that HSE is capable of reducing lipid peroxidation, increasing catalase and glutathione activities significantly in diabetic kidney, and decreasing the plasma levels of triglyceride, low-density lipoprotein (LDL) and increasing high-density lipoprotein (HDL) value. In histological examination, HSE improves hyperglycemia-caused osmotic diuresis in renal proximal convoluted tubules (defined as hydropic change) in diabetic rats. The study also reveals that up-regulation of Akt/Bad/14-3-3γ and NF-κB-mediated transcription might be involved. In conclusion, our results show that HSE possesses the potential effects to ameliorate diabetic nephropathy via improving oxidative status and regulating Akt/Bad/14-3-3γ signaling.
ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization
Wen-Lin Huang, Chun-Wei Tung, Shih-Wen Ho, Shiow-Fen Hwang, Shinn-Ying Ho
BMC Bioinformatics , 2008, DOI: 10.1186/1471-2105-9-80
Abstract: This study proposes an efficient sequence-based method (named ProLoc-GO) by mining informative GO terms for predicting protein subcellular localization. For each protein, BLAST is used to obtain a homology with a known accession number to the protein for retrieving the GO annotation. A large number n of all annotated GO terms that have ever appeared are then obtained from a large set of training proteins. A novel genetic algorithm based method (named GOmining) combined with a classifier of support vector machine (SVM) is proposed to simultaneously identify a small number m out of the n GO terms as input features to SVM, where m <
HIV-1 Vpr Triggers Mitochondrial Destruction by Impairing Mfn2-Mediated ER-Mitochondria Interaction
Chih-Yang Huang, Shu-Fen Chiang, Tze-Yi Lin, Shiow-Her Chiou, Kuan-Chih Chow
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0033657
Abstract: Human immunodeficiency virus 1 (HIV-1) viral protein R (Vpr) has been shown to induce host cell death by increasing the permeability of mitochondrial outer membrane (MOM). The mechanism underlying the damage to the mitochondria by Vpr, however, is not clearly illustrated. In this study, Vpr that is introduced, via transient transfection or lentivirus infection, into the human embryonic kidney cell line HEK293, human CD4+ T lymphoblast cell line SupT1, or human primary CD4+ T cells serves as the model system to study the molecular mechanism of Vpr-mediated HIV-1 pathogenesis. The results show that Vpr injures MOM and causes a loss in membrane potential (MMP) by posttranscriptionally reducing the expression of mitofusin 2 (Mfn2) via VprBP-DDB1-CUL4A ubiquitin ligase complex, gradually weakening MOM, and increasing mitochondrial deformation. Vpr also markedly decreases cytoplasmic levels of dynamin-related protein 1 (DRP1) and increases bulging in mitochondria-associated membranes (MAM), the specific regions of endoplasmic reticulum (ER) which form physical contacts with the mitochondria. Overexpression of Mfn2 and DRP1 significantly decreased the loss of MMP and apoptotic cell death caused by Vpr. Furthermore, by employing time-lapse confocal fluorescence microscopy, we identify the transport of Vpr protein from the ER, via MAM to the mitochondria. Taken together, our results suggest that Vpr-mediated cellular damage may occur on an alternative protein transport pathway from the ER, via MAM to the mitochondria, which are modulated by Mfn2 and DRP1.
Optimization of Lipase Production by Burkholderia sp. Using Response Surface Methodology
Chia-Feng Lo,Chi-Yang Yu,I-Ching Kuan,Shiow-Ling Lee
International Journal of Molecular Sciences , 2012, DOI: 10.3390/ijms131114889
Abstract: Response surface methodology (RSM) was employed to optimize the extracellular lipase production by Burkholderia sp. HL-10. Preliminary tests showed that olive oil, tryptone and Tween-80 exhibited significant effects on the lipase production. The optimum concentrations of these three components were determined using a faced-centered central composite design (FCCCD). The analysis of variance revealed that the established model was significant ( p < 0.01). The optimized medium containing 0.65% olive oil ( v/ v), 2.42% tryptone ( w/ v) and 0.15% Tween-80 ( v/ v) resulted in a maximum activity of 122.3 U/mL, about three fold higher than that in basal medium. Approximately 99% of validity of the predicted value was achieved.
FPGA Implementation of Generalized Hebbian Algorithm for Texture Classification
Shiow-Jyu Lin,Wen-Jyi Hwang,Wei-Hao Lee
Sensors , 2012, DOI: 10.3390/s120506244
Abstract: This paper presents a novel hardware architecture for principal component analysis. The architecture is based on the Generalized Hebbian Algorithm (GHA) because of its simplicity and effectiveness. The architecture is separated into three portions: the weight vector updating unit, the principal computation unit and the memory unit. In the weight vector updating unit, the computation of different synaptic weight vectors shares the same circuit for reducing the area costs. To show the effectiveness of the circuit, a texture classification system based on the proposed architecture is physically implemented by Field Programmable Gate Array (FPGA). It is embedded in a System-On-Programmable-Chip (SOPC) platform for performance measurement. Experimental results show that the proposed architecture is an efficient design for attaining both high speed performance andlow area costs.
Wound repair and anti-inflammatory potential of Lonicera japonica in excision wound-induced rats
Chen Wei-Cheng,Liou Shorong-Shii,Tzeng Thing-Fong,Lee Shiow-Ling
BMC Complementary and Alternative Medicine , 2012, DOI: 10.1186/1472-6882-12-226
Abstract: Background Lonicera japonica Thunb. (Caprifoliaceae), a widely used traditional Chinese medicinal plant, is used to treat some infectious diseases and it may have uses as a healthy food and applications in cosmetics and as an ornamental groundcover. The ethanol extract of the flowering aerial parts of L. japonica (LJEE) was investigated for its healing efficiency in a rat excision wound model. Methods Excision wounds were inflicted upon three groups of eight rats each. Healing was assessed by the rate of wound contraction in skin wound sites in rats treated with simple ointment base, 10% (w/w) LJEE ointment, or the reference standard drug, 0.2% (w/w) nitrofurazone ointment. The effects of LJEE on the contents of hydroxyproline and hexosamine during healing were estimated. The antimicrobial activity of LJEE against microorganisms was also assessed. The in vivo anti-inflammatory activity of LJEE was investigated to understand the mechanism of wound healing. Results LJEE exhibited significant antimicrobial activity against Staphylococcus aureus, Staphylococcus epidermidis, Escherichia coli, Candida albicans, and Candida tropicalis. The ointment formulation prepared with 10% (w/w) LJEE exhibited potent wound healing capacity as evidenced by the wound contraction in the excision wound model. The contents of hydroxyproline and hexosamine also correlated with the observed healing pattern. These findings were supported by the histopathological characteristics of healed wound sections, as greater tissue regeneration, more fibroblasts, and angiogenesis were observed in the 10% (w/w) LJEE ointment-treated group. The results also indicated that LJEE possesses potent anti-inflammatory activity, as it enhanced the production of anti-inflammatory cytokines that suppress proinflammatory cytokine production. Conclusions The results suggest that the antimicrobial and anti-inflammatory activities of LJEE act synergistically to accelerate wound repair.
Computer-Aided Reconstruction of Traumatic Fronto-Orbital Osseous Defects: Aesthetic Considerations.
Lun-Jou Lo,Yu-Ray Chen,Ching-Shiow Tseng,Ming-Yih Lee
Chang Gung Medical Journal , 2004,
Abstract: Background: In addition to functional goals, a satisfactory aesthetic outcome is importantfor reconstruction of fronto-orbital osseous defects. The purpose of this studyis to report on a method for presurgical fabrication of custom implants using3-dimensional (3-D) imaging data and computer-assisted manufacturingtechniques.Methods: Preoperative 3-D computed tomography data were processed and displayedfor evaluation of defects. Implants were created by a computer-aideddesign/computer-aided manufacturing (CAD/CAM) program. A rapid prototypingsystem was applied for production of the physical models. Rehearsalof surgery was performed using the implants and skull models. Negativecastings were created and were used during the operations to prepare the surgicalimplant utilizing methyl methacrylate. Traumatic fronto-orbital defectsin 4 patients were reconstructed using this method. The follow-up periodranged from 29 to 55 months.Results: Results showed that the custom implants perfectly fit the defects during theoperation. Symmetry and normal fronto-orbital contours were achieved.There were no peri- or postoperative complications. All patients were satisfiedwith the results.Conclusions: Computer-aided presurgical simulation and fabrication of implants is a reliableand effective method for the reconstruction of traumatic fronto-orbitaldefects, with reduced anesthesia time and improved aesthetic outcomes.
Optimized Production of Biodiesel from Waste Cooking Oil by Lipase Immobilized on Magnetic Nanoparticles
Chi-Yang Yu,Liang-Yu Huang,I-Ching Kuan,Shiow-Ling Lee
International Journal of Molecular Sciences , 2013, DOI: 10.3390/ijms141224074
Abstract: Biodiesel, a non-toxic and biodegradable fuel, has recently become a major source of renewable alternative fuels. Utilization of lipase as a biocatalyst to produce biodiesel has advantages over common alkaline catalysts such as mild reaction conditions, easy product separation, and use of waste cooking oil as raw material. In this study, Pseudomonas cepacia lipase immobilized onto magnetic nanoparticles (MNP) was used for biodiesel production from waste cooking oil. The optimal dosage of lipase-bound MNP was 40% ( w/ w of oil) and there was little difference between stepwise addition of methanol at 12 h- and 24 h-intervals. Reaction temperature, substrate molar ratio (methanol/oil), and water content ( w/ w of oil) were optimized using response surface methodology (RSM). The optimal reaction conditions were 44.2 °C, substrate molar ratio of 5.2, and water content of 12.5%. The predicted and experimental molar conversions of fatty acid methyl esters (FAME) were 80% and 79%, respectively.
Efficient Architecture for Spike Sorting in Reconfigurable Hardware
Wen-Jyi Hwang,Wei-Hao Lee,Shiow-Jyu Lin,Sheng-Ying Lai
Sensors , 2013, DOI: 10.3390/s131114860
Abstract: This paper presents a novel hardware architecture for fast spike sorting. The architecture is able to perform both the feature extraction and clustering in hardware. The generalized Hebbian algorithm (GHA) and fuzzy C-means (FCM) algorithm are used for feature extraction and clustering, respectively. The employment of GHA allows efficient computation of principal components for subsequent clustering operations. The FCM is able to achieve near optimal clustering for spike sorting. Its performance is insensitive to the selection of initial cluster centers. The hardware implementations of GHA and FCM feature low area costs and high throughput. In the GHA architecture, the computation of different weight vectors share the same circuit for lowering the area costs. Moreover, in the FCM hardware implementation, the usual iterative operations for updating the membership matrix and cluster centroid are merged into one single updating process to evade the large storage requirement. To show the effectiveness of the circuit, the proposed architecture is physically implemented by field programmable gate array (FPGA). It is embedded in a System-on-Chip (SOC) platform for performance measurement. Experimental results show that the proposed architecture is an efficient spike sorting design for attaining high classification correct rate and high speed computation.
Pyrrolidine Dithiocarbamate (PDTC) Attenuates Luteolin-Induced Apoptosis in Human Leukemia HL-60 Cells  [PDF]
Ming-Fen Lee, Cheng-Ta Li, Ming-Dian Chen, An-Chin Cheng
Journal of Cancer Therapy (JCT) , 2012, DOI: 10.4236/jct.2012.36147
Abstract: Studies have indicated that flavonoid luteolin is a potential inhibitor of tumor cell proliferation and may function as an anticarcinogenic agent. Pyrrolidine dithiocarbamate (PDTC), a synthetic compound, may exhibit biphasic effects on apoptosis depending on the experimental context. Previously, we found that luteolin induced the activation of the proapoptotic proteins, such as Bad, Bid, and Bax, in HL-60 human leukemia cells. We also explored the modulatory effects and molecular mechanisms of PDTC on the cytotoxicity of luteolin in HL-60 cells; PDTC could interfere with luteolin’s ability to cleave poly(ADP-ribose)-polymerase (PARP) and DNA fragmentation of factor-45 (DFF-45). In the current study, we further investigated the effect of PDTC on the luteolin-induced death-receptor pathway and the cleavage of the Bcl-2 family members. We found that the combination of luteolin and PDTC increased the survival of the HL-60 cells such that PDTC inhibited both extrinsic and intrinsic pathways in luteolin-induced apoptosis.
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