1.Clinical study of laser in situ keratomileusis for treatment of hypermetropia
Teng YU ; Gaoyun QI ; Han YU ; Yubin REN ; Zhenxia ZHANG ; Rong YU
Recent Advances in Ophthalmology 2000;20(5):358-360
Objective To evaluate therapeutic effect and opportunity of laser in situ keratomileusis(LASIK) for treatment of hypermetropia.Methods Three hundred and ninety hypermetropia eyes were treated with LASIK using solid excimer laser instrument(made in Novatec Corporation, USA),and were reexamined at 1,3,6 and 12 months after LASIK.Results Therapeutic effect of LASIK was more remarkable, stable and reliable, that of other methods in treating +2.00~+10.00D hypermetropia and astigmatism, and the rate and degree of refraction regression were small. The diopter has been stable in 6~12 months after LASIK. Diopter of 87 percentage of all eyes≤+2.00D, and 61 percentage≤+1.00D. LASIK had shorter recovery time, more gently operation reaction, more remarkable droping of diopter than other methods. Elevation of vision was remarkable after LASIK. Elevation of vision of amblyopia children who were treated with LASIK was quicker and more remarkable after treatment of amblyopia than that of other amblyopia children who were not treated with LASIK.Conclusion At present, LASIK is the best therapeutic method to treat hypermetropia.
2.Pharmacokinetics of effective constituent in Jinkui Shenqi Pill
Wenlan LI ; Xiaodong WANG ; Yubin JI ; Zhengting HU ; Jia WANG ; Xiaolei REN
Chinese Traditional Patent Medicine 1992;0(10):-
AIM:To investigate pharmacokinetics of cinnamon acid and paeonol in Jinkui Shenqi Pill(Radix Rehmanniae Praeparata,Cortex Cinnamomi,Radix Aconiti Lateralis praeparata,Rhizoma Alismatis,etc.)in rabbit.METHODS:RP-HPLC was used to examine blood concentration of cinnamon acid and paeonol in rabbit which was administred Jinkui Shenqi Pill.Chromatographic condition consisted of Symmetry C_ 18(5?m,3.9 mm ?150 mm)chromato graphic column,mobile phase(methanol-1%glacial acetic acid water-solution(45∶55)),flow rate(0.8 mL/min),column temperature(35 ℃),detection wavelength of cinnamon acid(285 nm),detection wave length of paeonol(274 nm).The serum pharmacokinetic parameters were calculated with 3p87 program.RESULTS:Linear range of cinnamon acid ranged from 0.06 ?g/mL to 15 ?g/mL(r=0.999 7),the lowest detectability was 0.054 ?g/mL.Pharmacokinetic process of paeonol in rabbit could be fitted to two-compartment model;Linear range of paeonol ranged from 0.2 ?g/mL to 10 ?g/mL(r=0.999 9),the lowest detectability was 0.02 ?g/mL.Pharmacokinetic process of cinnamon acid in rabbit could be fitted to one-compartment model.CONCLUSION:HPLC detection of serum concentration of cinnamon acid and paeonol is simple,rapid,highly accurate and sensitive.Pharmacokinetic parameters can reveal pharmacokinetics of cinnamon acid and paeonol of Jinkui Shenqi Pill in rabbit.
3.Advances in cationic polymers used as nonviral vectors for gene delivery.
Xianyue REN ; Liqun YANG ; Xuan LIANG ; Zhenzhen LIU ; Yubin DENG
Chinese Journal of Biotechnology 2013;29(5):568-577
Gene therapy has been considered as a promising method for treatment of many diseases, such as acquired and genetic diseases. At present, there are two major vehicles for gene delivery including viral vectors and nonviral vectors. Viral vectors appear as high gene transfection efficiency, but some deficiencies such as inflammatory responses, recombination and mutagenesis have limited their use. On account of low pathogenicity, safety and cost-effectiveness, nonviral vectors have been attracted much attention. Cationic polymers are one of the nonviral vectors which have been widely studied. This review focuses on the structure of the cationic polymers and the interaction mechanism between the vector and DNA. We try to provide a framework for the future design and synthesis of nonviral vectors with high transfection efficiency and low toxicity for gene therapy.
Cations
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chemistry
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DNA
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genetics
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Gene Transfer Techniques
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Genetic Therapy
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methods
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Genetic Vectors
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genetics
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Polymers
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chemistry
4.Radioprotective effect of 1,2-propanediol combined with hepatocyte growth factor-modified dental pulp stem cell exosomes on human skin cells
Yun LIU ; Jiayan JIN ; Yubin LIU ; Qiang LI ; Boyuan REN ; He LIU ; Zuze WU ; Gangqiao ZHOU ; Jide JIN
Chinese Journal of Tissue Engineering Research 2024;28(13):2002-2008
BACKGROUND:Skin damage caused by radiation therapy and nuclear accidents is still a serious medical problem.It is difficult to achieve effective treatment results with single prevention and treatment methods.It is an important research direction to find new comprehensive treatment methods. OBJECTIVE:To observe the protective effect and the underlying mechanism of 1,2-propanediol combined with hepatocyte growth factor-modified exosomes derived from dental pulp stem cells on human epidermal radiation damage cell models. METHODS:(1)After infection of human dental pulp stem cells using recombinant adenovirus of human hepatocyte growth factor gene,exosomes,i.e.,Ad.HGF DPSC-Exo,were isolated with ultracentrifugation.(2)HaCat cells were irradiated with X-ray.The cells were treated with 1,2-propanediol before irradiation and Ad.HGF DPSC-Exo after irradiation.Cell proliferative activity was determined by CCK-8 assay.Cell apoptosis was detected by flow cytometry.Cell migration was detected by cell scratch assay.The expression levels of P21 and P53 were detected by PCR. RESULTS AND CONCLUSION:1,2-Propanediol,Ad.HGF.DPSC-Exo,Ad.HGF.DPSC-Exo + 1,2-propanediol could significantly improve the growth inhibition of HaCaT cells,reduce cell apoptosis,elevate cell proliferation and migration,and exhibit a good radiation protection effect.Moreover,the combined effect of Ad.HGF.DPSC-Exo + 1,2-propanediol was better.Furthermore,Ad.HGF.DPSC-Exo + 1,2-propanediol alleviated the cellular G2/M phase block and decreased the expression of cell cycle genes P53 and P21.In conclusion,1,2-propanediol pretreatment combined with Ad.HGF.DPSC-Exo had significant protective effects on radiation-induced HaCaT cell injury and it provided novel ideas and potential methods for the prevention and treatment of radiation-induced skin damage.
5.DeepNitro: Prediction of Protein Nitration and Nitrosylation Sites by Deep Learning.
Yubin XIE ; Xiaotong LUO ; Yupeng LI ; Li CHEN ; Wenbin MA ; Junjiu HUANG ; Jun CUI ; Yong ZHAO ; Yu XUE ; Zhixiang ZUO ; Jian REN
Genomics, Proteomics & Bioinformatics 2018;16(4):294-306
Protein nitration and nitrosylation are essential post-translational modifications (PTMs) involved in many fundamental cellular processes. Recent studies have revealed that excessive levels of nitration and nitrosylation in some critical proteins are linked to numerous chronic diseases. Therefore, the identification of substrates that undergo such modifications in a site-specific manner is an important research topic in the community and will provide candidates for targeted therapy. In this study, we aimed to develop a computational tool for predicting nitration and nitrosylation sites in proteins. We first constructed four types of encoding features, including positional amino acid distributions, sequence contextual dependencies, physicochemical properties, and position-specific scoring features, to represent the modified residues. Based on these encoding features, we established a predictor called DeepNitro using deep learning methods for predicting protein nitration and nitrosylation. Using n-fold cross-validation, our evaluation shows great AUC values for DeepNitro, 0.65 for tyrosine nitration, 0.80 for tryptophan nitration, and 0.70 for cysteine nitrosylation, respectively, demonstrating the robustness and reliability of our tool. Also, when tested in the independent dataset, DeepNitro is substantially superior to other similar tools with a 7%-42% improvement in the prediction performance. Taken together, the application of deep learning method and novel encoding schemes, especially the position-specific scoring feature, greatly improves the accuracy of nitration and nitrosylation site prediction and may facilitate the prediction of other PTM sites. DeepNitro is implemented in JAVA and PHP and is freely available for academic research at http://deepnitro.renlab.org.
Amino Acid Sequence
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Amino Acids
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metabolism
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Deep Learning
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Humans
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Internet
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Neural Networks (Computer)
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Nitrosation
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Proteins
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chemistry
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metabolism
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Reproducibility of Results
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Software