15 results on '"Wu, Lingyi"'
Search Results
2. Lactobacillus rhamnosus GG ameliorates triptolide-induced liver injury through modulation of the bile acid-FXR axis
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Hu, Shiping, Tang, Bo, Lu, Cheng, Wang, Sumin, Wu, Lingyi, Lei, Yuanyuan, Tang, Li, Zhu, Hongbin, Wang, Dongxu, and Yang, Shiming
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- 2024
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3. Pandemic Cinema (Team 2)
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Kang, Calvin, Sharma, Karana, Lin, Claire, Puyat, Jose, Militante, Crystal, Alcalde, Diego, Lal, Harnoor, Morse, TJ, Hemmig, Chad, Vallecillo, Nayeli, Lopez Castro, David, McKee, Kristina, Deans, Samuel, Lin, Xuanyi, Higgins, Ethan, and Wu, Lingyi
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COVID-19 ,COVID ,Pandemic ,Movie theater ,Computational Fluid Dynamics ,sustainability ,autonomous robot ,SolidWorks ,CAD ,simulation ,UCI Engineering Conference 2021 - Abstract
In today’s world, the COVID-19 pandemic has affected many lives and forced the people to take safety precautions like never before. Therefore, designing an environmentally friendly theatre minimizing germ propagation using filtration mechanisms is a valuable project, as it would help struggling businesses, and give people a chance to enjoy a day outside, safely. With safety being the highest priority, the incorporation filtration systems and contactless food delivery networks is essential while providing a fun and lasting memory for the visiting audience. However, to meet the previously listed goals, solutions to major obstacles are necessary. This includes designing a robot with consistent movements while simultaneously avoiding its surrounding obstacles, building an energy environment friendly cooling system, and creating a filtration mechanism to filter the COVID-19 particles. With these overall designs incorporated into the traditional movie theatre, the team presents the “COVID-less Movie Theatre”.
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- 2021
4. Design and implementation of a metaverse platform for traditional culture: the chime bells of Marquis Yi of Zeng
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Wu, Lingyi, Yu, Riji, Su, Wei, and Ye, Shishu
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- 2022
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5. Disulfiram ameliorates nonalcoholic steatohepatitis by modulating the gut microbiota and bile acid metabolism
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Lei, Yuanyuan, Tang, Li, Chen, Qiao, Wu, Lingyi, He, Wei, Tu, Dianji, Wang, Sumin, Chen, Yuyang, Liu, Shuang, Xie, Zhuo, Wei, Hong, Yang, Shiming, and Tang, Bo
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- 2022
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6. Human telomerase reverse transcriptase (hTERT) synergistic with Sp1 upregulate Gli1 expression and increase gastric cancer invasion and metastasis
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Wu, Lingyi, Wang, Sumin, Tang, Bo, Tang, Li, Lei, Yuanyuan, Liu, Yaojiang, Yang, Min, Yang, Guodong, Zhang, Dan, and Liu, En
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- 2021
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7. Plant-Derived Waste as a Component of Growing Media: Manifestations, Assessments, and Sources of Their Phytotoxicity.
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Liu, Juncheng, Cui, Wenzhong, Qi, Zhiyong, Wu, Lingyi, and Zhou, Wanlai
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CROP residues ,ORGANIC acids ,PHENOLS ,PHYTOTOXICITY ,ORGANIC compounds - Abstract
Every year, approximately 2 billion tons of plant-derived waste (such as straw and crop residues) are generated globally, most of which are either incinerated, dumped, or landfilled without proper planning, leading to severe environmental pollution and resource wastage. Plant-derived waste exhibits potential advantages as a growing media component in various aspects. However, numerous studies have also indicated that plant-derived waste generally possesses strong phytotoxicity, which must be removed or reduced before being utilized as a growing media component. Therefore, accurately assessing their phytotoxicity and appropriately modifying it to ensure their support for plant growth when used as a growing media component is crucial. This paper reviews the manifestation and assessment methods of phytotoxicity in plant-derived waste; systematically summarizes the phytotoxicity sources of three common types of plant-derived waste (garden waste, crop straw, and spent mushroom substrate), as well as the toxic mechanisms of two representative phytotoxic substances (phenolic compounds and organic acids); and proposes some insights into further research directions. By consolidating insights from these studies, this review aims to deepen our understanding of phytotoxicity and its implications, and offer valuable references and guidance for future research endeavors and practical applications. [ABSTRACT FROM AUTHOR]
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- 2024
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8. Parabacteroides produces acetate to alleviate heparanase-exacerbated acute pancreatitis through reducing neutrophil infiltration
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Lei, Yuanyuan, Tang, Li, Liu, Shuang, Hu, Shiping, Wu, Lingyi, Liu, Yaojiang, Yang, Min, Huang, Shengjie, Tang, Xuefeng, Tang, Tao, Zhao, Xiaoyan, Vlodavsky, Israel, Zeng, Shuo, Tang, Bo, and Yang, Shiming
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- 2021
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9. Characteristics of gut microbiota and their correlation with clinical parameters in patients with cholestatic liver disease
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WU Lingyi, TANG Li, ZHANG Jing, LEI Yuanyuan, and HU Shiping
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cholestatic liver disease ,gut microbiota ,16s rrna ,Medicine (General) ,R5-920 - Abstract
Objective To investigate the diversity and composition of gut microbiota in patient with cholestatic liver disease, and explore their correlation with clinical parameters. Methods Fresh stool samples from 16 patients with cholestatic liver disease and 19 healthy controls were collected, and 16S rRNA sequencing was used to analyze the diversity of gut microbiota and composition characteristics. Pearson analysis was employed to analyze the correlation between the different bacteria and clinical parameters. Results There were no statistical differences in the baseline data, such as sex, age and body mass index (BMI) in study subjects (P>0.05), but significant differences were observed in serum indexes among them (P < 0.01). The results of α diversity showed that Chao1 and Shannon indexes were lower in the study group, but there was no statistical difference (P>0.05). β diversity results indicated that the species diversity had significant difference between 2 group (P < 0.01). Further analysis of microbiota composition showed largely relative abundance of Bacteroides, Lachnoclostridium, Veillonella, Roseburia and Escherichia shigella (P < 0.05), while the abundance of Blautia were dramatically decreased (P < 0.05). Pearson analysis displayed that Lachnoclostridium was strongly correlated with serum level of alkaline phosphatase (ALP) (P < 0.01) and gamma-glutamyl transferase (GGT) (P < 0.05), and Veillonella was also strongly correlated with GGT (P < 0.05). Conclusion Compared with healthy controls, the patients with cholestatic liver disease have obvious characteristic changes in the gut microbiota. The relatively high abundance of Veillonella is closely assocatied with cholestatic liver disease.
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- 2020
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10. Research Status Quo and Trends of Construction Robotics: A Bibliometric Analysis.
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Wu, Huanyu, Liu, Yongqi, Chang, Ruidong, and Wu, Lingyi
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BIBLIOMETRICS ,WORKFLOW management ,ROBOTICS ,BUILDING design & construction ,LABOR productivity ,ROBOT industry ,AUTOMATION ,HUMAN-robot interaction - Abstract
Labor shortage and low labor productivity are critical issues in the construction industry. Robotics, as a powerful technology to improve productivity in the digitization era, is being used to assist in addressing these problems. Particularly in recent years, interest in construction robotics research has risen remarkably. To gain a deeper understanding of this burgeoning research field, this study provides a bibliometric analysis of 498 related papers retrieved from WoS (Web of Science). Performance analysis and science mapping were used in the paper to identify the research trends, relationship among authors, top publication sources, regional activities, as well as knowledge base and dominant research sub-fields. The results indicated that the number of papers focusing on construction robotics has been continuously growing since 2013. "Automation," "system," and "design" have been the most addressed topics in construction robotics. The findings are indicative of identifying the deficiencies in existing research and provide directions for future research. Those include greater attention paid to the experimental results of on-site construction robots, while ignoring the impacts of practical construction situations, and the development of off-site construction robots needs more support. For theoretical research, there is a lack of studies on human–robot collaboration workflow and management models. Therefore, the study would be valuable in providing practitioners and researchers with a better perspective on the development of construction robotics and facilitating the building of the intellectual wealth of robotics in the construction industry. Our study analyzed 498 papers related to construction robotics from 1974 to 2022 through bibliometric approaches (mathematical and statistical methods). The study counted the numbers of construction robotics papers by year, identified most active scholars and top publication sources, and analyzed the relationship among regions. Most importantly, the paper identified the knowledge base of the research field of construction robotics and reviewed various relevant studies from theoretical and practical application perspectives. [ABSTRACT FROM AUTHOR]
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- 2024
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11. Thermus thermophilus Argonaute-based signal amplifier for highly sensitive and specific microRNA detection
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Wang, Ziqi, primary, Wang, Zitong, additional, Zhang, Fan, additional, and Wu, Lingyi, additional
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- 2023
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12. Improving the Accuracy of TOF LiDAR Based on Balanced Detection Method
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Li, Jingjing, primary, Bi, Ying, additional, Li, Kun, additional, Wu, Lingyi, additional, Cao, Jie, additional, and Hao, Qun, additional
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- 2023
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13. Additional file 2 of Parabacteroides produces acetate to alleviate heparanase-exacerbated acute pancreatitis through reducing neutrophil infiltration
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Lei, Yuanyuan, Tang, Li, Liu, Shuang, Hu, Shiping, Wu, Lingyi, Liu, Yaojiang, Yang, Min, Huang, Shengjie, Tang, Xuefeng, Tang, Tao, Zhao, Xiaoyan, Vlodavsky, Israel, Zeng, Shuo, Tang, Bo, and Yang, Shiming
- Abstract
Additional file 1: Supplemental Figure 1. Confirmation of mouse and human Hpa encoding genes expressions across all experimental conditions. (a) Genotype identification of Hpa- Tg mice. Semiquantitative PCR amplification of DNA extracted from WT (n=1) and Hpa-Tg mice (n=10). Human Hpa specific primer was used to detect transgene vector sequences in the mouse genome. Total DNA was assessed by specific primer against a genomic sequence of the ribosomal protein L-19. The expression levels of mouse Hpa (b) and human Hpa (c) in WT+SW/WT+Cn/Hpa-Tg+SW/Hpa-Tg+Cn group were confirmed. The expression levels of mouse vs human Hpa in in Hpa-Tg SW/HpaTg+Cn groups were confirmed (d). (e) Before 16S rRNA sequencing of WT and HpaTg mice, the expression levels of mouse Hpa and human Hpa were confirmed. The expression levels of mouse or human Hpa, the expression levels of mouse vs human Hpa were also confirmed in ABX (f), FMT (g-i), cohousing (j), Parabacteroides administration (k-m) and acetate supplementation (n-p) experiments. Data were expressed as mean ± SEM. Significance between two groups was determined by unpaired, two-tailed t test or Mann-Whitney test depending on the sample distribution. Significance between multiple groups was determined through ordinary one-way ANOVA or Kruskal-Wallis test depending on the sample distribution. Exact p levels were all provided. ABX, antibiotic cocktail; Cn, caerulein; CoHo, cohoused; FMT, fecal microbiota transplantation; Hpa-Tg, heparanase-transgenic; P. distasonis, Parabacteroides distasonis; SiHo, housed singly; SW, sterile water; rRNA, ribosomal RNA; WT, wild-type. Supplemental Figure 2. Alpha-diversity, beta-diversity and bar plots of the phylum/class/order/family/genus taxonomic levels in WT and Hpa-Tg mice. (a) Alpha-diversity (Based on ACE, Observed features, Fisher alpha, Shannon and Faith pd). (b) PCoA of beta-diversity using Jaccard, Generalized Unifrac and Weighted Unifrac metric distance. (c) Quantification of dissimilarity values based on (b), presented as dissimilarity values (first (box bottom), third (box top) quartiles, the median (line inside box) and 2.5 interquartile range (line ends)). (d) Bar plots of the phylum taxonomic levels in WT and Hpa-Tg mice. Relative abundance is plotted for each group. The relative abundances of Firmicutes and Bacteroidetes were shown. (e) Bar plots of the class taxonomic levels in WT and Hpa-Tg mice. Relative abundance is plotted for each group. (f) Bar plots of the order taxonomic levels in WT and Hpa-Tg mice. Relative abundance is plotted for each group. Bacterial genera with relative abundance greater than 0.01% were analyzed. (g) Bar plots of the family taxonomic levels in WT and Hpa-Tg mice. Relative abundance is plotted for each group. Bacterial genera with relative abundance greater than 0.1% were analyzed. (h) Bar plots of the genus taxonomic levels in WT and Hpa-Tg mice. Relative abundance is plotted for each group. Bacterial genera with relative abundance greater than 1% were analyzed. Data were expressed as mean ± SEM. n=15 individuals/group. Significance between two groups was determined by unpaired, two-tailed t test or Mann-Whitney test depending on the sample distribution. For (b-c), differences of data were assessed by ANOSIM test. Exact p levels were all provided. ANOSIM, analysis of similarities Hpa-Tg, heparanase-transgenic; WT, wild-type. Supplemental Figure 3. Exacerbated acute pancreatitis in Hpa-Tg mice depended on gut microbiota. (a) ABX experimental design, WT and Hpa-Tg littermates were put on a course of intragastrically antibiotic cocktail administration for 5 days for gut microbiota depletion After that, 16S rRNA sequencing analysis and AP induction were performed. (b) Pancreas (g)/body (g) weight x 1‰. (c) Serum amylase. (d) Serum lipase. (e) Representative images of pancreatic H&E staining. (f) Histologic score. (g) Serum TNF-α measured by ELISA. (h) Serum IL-6 measured by ELISA. (a-h) n=5 individuals/group. Data were expressed as mean ± SEM. Differences of data were assessed by assessed by unpaired, two-tailed t test or Mann-Whitney test depending on the sample distribution. Exact p levels were all provided. Scale bars, 500 and 200 μm, respectively. ABX, antibiotic cocktail; AP, acute pancreatitis; Cn, caerulein; Hpa-Tg, heparanase-transgenic; rRNA, ribosomal RNA; WT, wild-type. Supplemental Figure 4. Beta-diversity among ABX experimental groups. 16S rRNA sequencing analysis in fecal bacterial DNA from ABX WT mice (n=5) and Hpa Tg mice (n=3) was performed. PCoA of beta-diversity using Bray-Curtis (a), Jaccard (b), Generalized Unifrac (c) and Weighted Unifrac (d) metric distance. Differences of data were assessed by ANOSIM test. Exact p levels were all provided. ABX, antibiotic cocktail; ANOSIM, analysis of similarities; Hpa-Tg, heparanase-transgenic; PCoA, principal coordinate analysis; rRNA, ribosomal RNA; WT, wild-type. Supplemental Figure 5. Beta-diversity among FMT experimental groups. 16S rRNA sequencing analysis in fecal bacterial DNA from FMT groups was performed. n=7 individuals/group. PCoA of beta-diversity using Bray-Curtis (a), Jaccard (b), Generalized Unifrac (c) and Weighted Unifrac (d) metric distance. Differences of data were assessed by ANOSIM test. Exact p levels were all provided. ANOSIM, analysis of similarities; Hpa-Tg, heparanase-transgenic; PCoA, principal coordinate analysis FMT, fecal microbiota transplantation; rRNA, ribosomal RNA; WT, wild-type. Supplemental Figure 6. Beta-diversity among CoHo WT and CoHo Hpa-Tg groups. 16S rRNA sequencing analysis in fecal bacterial DNA from CoHo WT and CoHo Hpa-Tg groups was performed. n=7 individuals/group. PCoA of beta-diversity using Bray-Curtis (a), Jaccard (b), Generalized Unifrac (c) and Weighted Unifrac (d) metric distance. Differences of data were assessed by ANOSIM test. Exact p levels were all provided. ANOSIM, analysis of similarities; CoHo, cohoused; Hpa-Tg, heparanase-transgenic; PCoA, principal coordinate analysis; rRNA, ribosomal RNA; WT, wild-type. Supplemental Figure 7. Parabacteroides was the most important biomarker to distinguish WT and Hpa-Tg mice. (a) VIP score of OPLS-DA. VIP score (calculated based on 16S rRNA sequencing data of Fig. 2) was used to rank the ability of different taxa to discriminate between WT and Hpa-Tg mice. A taxon with VIP score >1.5 was considered important in the discrimination. n=15 individuals/group. (b) In ABX experiment, Parabacteroides abundance was confirmed by 16S rRNA sequencing (n=5/3 in ABX WT/ABX Hpa-Tg group, respectively) and qRT-PCR (using specific primers of P. distasonis, n=5 individuals/group). (c) In FMT experiment, Parabacteroides abundance was confirmed by 16S rRNA sequencing and qRT-PCR (using specific primers of P. distasonis). n=7 individuals/group. (d) In Cohousing experiment, Parabacteroides abundance was confirmed by 16S rRNA sequencing and qRT-PCR (using specific primers of P. distasonis). n=7 individuals/group. (e-j) The correlations between severity indicators of AP and Parabacteroides abundance were analyzed using Spearman’s correlations. 6 mice each in WT and Hpa-Tg mice were included in the statistics. (k) In Parabacteroides administration experiment, Parabacteroides abundance was confirmed by 16S rRNA sequencing. n=5 individuals/group. Data were expressed as mean ± SEM. Differences of data in two groups were assessed by assessed by unpaired, two-tailed t test or Mann-Whitney test depending on the sample distribution. Differences of data in more than two groups were assessed by ordinary one-way ANOVA or Kruskal-Wallis test depending on the sample distribution. Exact p levels were all provided. ABX, antibiotic cocktail; AP, acute pancreatitis; FMT, fecal microbiota transplantation; Hpa-Tg, heparanase-transgenic; OPLS-DA, orthogonal partial least squares discrimination analysis; P. distasonis, Parabacteroides. distasonis; qRT-PCR, Quantitative RT-PCR; rRNA, ribosomal RNA; VIP, valuable influence on projection; WT, wild-type. Supplemental Figure 8. Acetate concentration in ABX, FMT and cohousing experiments. (a) The whole annotation of microbial gene function of WT and Hpa-Tg mice on KEGG pathway analysis. Analysis of 16S rRNA sequencing data from Figure 2. n = 15 individuals/group. (b) Relative fold change of acetate concentration from cecal content in ABX experiment. n=5 individuals/group. (c) Relative fold change of acetate concentration from cecal content in FMT experiment. n=7 individuals/group. (d) Relative fold change of acetate concentration from cecal content in CoHo WT and CoHo Hpa-Tg mice. n=7 individuals/group. Data were expressed as mean ± SEM. Differences of data in two groups were assessed by assessed by Mann-Whitney test. Differences of data in FMT experiment was assessed by ordinary one-way ANOVA. Exact p levels were all provided. ABX, antibiotic cocktail; CoHo, cohoused; FMT, fecal microbiota transplantation; Hpa-Tg, heparanase-transgenic; rRNA, ribosomal RNA; KEGG, kyoto encyclopedia of genes and genomes; WT, wild-type. Supplemental Figure 9. Confirmation of acetate enrichment in acetate supplementation experiment. Relative fold change of acetate concentration from cecal content in acetate supplementation experiment. n=9 individuals/group. Data were expressed as mean ± SEM. Differences of data were assessed by ordinary one-way ANOVA. Exact p levels were all provided. WT, wild-type; Hpa-Tg, heparanase transgenic. Supplemental Figure 10. Neutrophil infiltration depended on gut microbiota in heparanase-exacerbated acute pancreatitis. WT and Hpa-Tg mice were treated with/without Cn. Representative plots of immunohistochemistry and bar plots of neutrophils in pancreas were shown in (a) and (b), respectively. Representative plots of immunohistochemistry and bar plots of neutrophils in pancreas of ABX experiment were shown in (c) and (d), respectively. Representative plots of immunohistochemistry and bar plots of neutrophils in pancreas of FMT experiment were shown in (e) and (f), respectively. Representative plots of immunohistochemistry and bar plots of neutrophils in pancreas of cohousing experiment were shown in (g) and (h), respectively. Differences of data in two groups were assessed by unpaired, two-tailed t test. Differences of data in more than two groups were assessed by ordinary one-way ANOVA. Exact p levels were all provided. Scale bars, 200 and 50 μm, respectively. ABX, antibiotic cocktail; FMT, fecal microbiota transplantation; Hpa-Tg, heparanase- X transgenic; Cn, caerulein; CoHo, cohoused. SiHo, housed singly; SW, sterile water; WT, wild-type. Supplemental Figure 11. Alpha rarefaction curves of all 16S rRNA sequencing analyses. Alpha rarefaction curves (Faith pd) in WT and Hpa-Tg groups (a), ABX experiment (b), CoHo WT and CoHo Hpa-Tg groups (c), FMT experiment (d) and the administration of Parabacteroides experiment (e). ABX, antibiotic cocktail; CoHo, cohoused; FMT, fecal microbiota transplantation; Hpa-Tg, heparanase-transgenic; P. distasonis, Parabacteroides distasonis; WT, wild-type. Supplemental Table 1. Schmidt's score system of pancreatic histopathology. Supplemental Table 2. Primers for qRT-PCR detection (SYBR Green). Supplemental Table 3. Primers for qRT-PCR detection (Taqman).
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- 2022
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14. Gut Microbiota: the Emerging Link to Lung Homeostasis and Disease
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Zhou, An, primary, Lei, Yuanyuan, additional, Tang, Li, additional, Hu, Shiping, additional, Yang, Min, additional, Wu, Lingyi, additional, Yang, Shiming, additional, and Tang, Bo, additional
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- 2021
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15. Effects of oligosaccharides on the fermentation properties of Lactobacillus plantarum
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Cao, Pei, primary, Wu, Lingyi, additional, Wu, Zhen, additional, Pan, Daodong, additional, Zeng, Xiaoqun, additional, Guo, Yuxing, additional, and Lian, Liwei, additional
- Published
- 2019
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