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183 results on '"Zhao, Liuwei"'

14. Lespedeza bicolor Turcz. Honey Prevents Inflammation Response and Inhibits Ferroptosis by Nrf2 / HO-1 Pathway in DSS-Induced Human Caco-2 Cells.

Author

Ren, Caijun, Zhu, Yuying, Li, Qiangqiang, Wang, Miao, Qi, Suzhen, Sun, Dandan, Wu, Liming, and Zhao, Liuwei

Subjects
ULCERATIVE colitis, TIGHT junctions, GLUTAMATE transporters, ANTI-inflammatory agents, CLAUDINS
Abstract

Lespedeza bicolor Turcz. (L. bicolor) honey, a monofloral honey, has garnered increased attention due to its origin in the L. bicolor plant. A previous study has shown that L. bicolor honey can ameliorate inflammation. In this study, we aimed to investigate the effects of L. bicolor honey extract and its biomarker (Trifolin) on DSS-induced ulcerative colitis (UC). Our results demonstrated that L. bicolor honey extract and Trifolin significantly increased the expression levels of the tight junction cytokines Claudin-1 and ZO-1. Additionally, they decreased the pro-inflammatory factors TNF-α and IL-6 and enhanced the antioxidant factors NQO1 and GSTA1. Based on metabolomic analyses, L. bicolor honey extract and Trifolin regulated the progression of UC by inhibiting ferroptosis. Mechanistically, they improved the levels of SOD and iron load, increased the GSH/GSSG ratio, reduced MDA content and ROS release, and upregulated the Nrf2/HO-1 pathway, thereby inhibiting DSS-induced UC. Moreover, the expression levels of ferroptosis-related genes indicated that they decreased FTL, ACSL4, and PTGS2 while increasing SLC7A11 expression to resist ferroptosis. In conclusion, our study found that L. bicolor honey improves DSS-induced UC by inhibiting ferroptosis by activating the Nrf2/HO-1 pathway. These findings further elucidate the understanding of anti-inflammatory and antioxidant activities of L. bicolor honey. [ABSTRACT FROM AUTHOR]

Published
2024
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37. De novo Transcriptomic Resources in the Brain of Vespa velutina for Invasion Control

Author

Wu Liming, Miao Wang, Hanyu Li, Xiaofeng Xue, Huoqing Zheng, and Zhao Liuwei

Subjects
0106 biological sciences, 0301 basic medicine, invasion control, Odorant binding, Single-nucleotide polymorphism, Computational biology, Biology, Vespa velutina, 010603 evolutionary biology, 01 natural sciences, Genome, Article, Transcriptome, de novo transcriptome, 03 medical and health sciences, Protein sequencing, SNP, hornet, lcsh:Science, Gene, 030104 developmental biology, Insect Science, Microsatellite, lcsh:Q
Abstract

The invasion of Vespa velutina presents a great threat to the agriculture economy, the ecological environment, and human health. An effective strategy for this hornet control is urgently required, but the limited genome information of Vespa velutina restricts the application of molecular-genomic tools for targeted hornet management. Therefore, we conducted large-scale transcriptome profiling of the hornet brain to obtain functional target genes and molecular markers. Using an Illumina HiSeq platform, more than 41 million clean reads were obtained and de novo assembled into 182,087 meaningful unigenes. A total of 56,400 unigenes were annotated against publicly available protein sequence databases and a set of reliable Simple Sequence Repeats (SSRs) and Single Nucleotide Polymorphisms (SNP) markers were developed. The homologous genes encoding crucial behavior regulation factors, odorant binding proteins (OBPs), and vitellogenin, were also identified from highly expressed transcripts. This study provides abundant molecular targets and markers for invasive hornet control and further promotes the genetic and molecular study of Vespa velutina.

Published
2020
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45. Sex-Specific Development in Haplodiploid Honeybee is Controlled by the Female-Embryo-Specific Activation of Thousands of Intronic lncRNAs

Author

Miao Wang, Yi Zhang, Xiaofeng Xue, Jing Hou, Yu Zhang, Fengyun Yu, Huoqing Zheng, Dong Chen, Zhao Liuwei, and Wu Liming

Subjects
Transcriptome, Genetics, Embryogenesis, Haplodiploidy, Intron, Maternal to zygotic transition, Chromosome, Embryo, Ploidy, Biology
Abstract

Embryonic development depends on a highly coordinated shift in transcription programs known as the maternal-to-zygotic transition, and sex chromosome silencing occurs during early embryonic development. Here, we applied a single-embryo RNA-seq approach to characterize the embryonic transcriptome dynamics in haploid males vs. diploid females of the happlodiploid insect honeybee (Apis mellifera). We observed typical zygotic genome activation (ZGA) occurred in three major waves specifically in female honeybee embryos; haploid genome activation was much weaker and occurred later. Strikingly, we also observed three waves of transcriptional activation for thousands of long noncoding transcripts (lncRNA), 73% of which are transcribed from intronic regions and 65% were specific to female honeybee embryos. These findings support a model in which introns encode thousands of lncRNAs that are expressed in a diploid-embryo-specific and ZGA-triggered manner that function to silence gene expression from the entire set of extra chromosomes in the females of these haplodiploid animals.

Published
2018

49. Recent advancements in detecting sugar-based adulterants in honey - A challenge

Author

Wu Liming, Xiaofeng Xue, Du Bing, Yvan Vander Heyden, Zhao Liuwei, Lanzhen Chen, Miao Wang, Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, and Pharmaceutical and Pharmacological Sciences

Subjects
spectroscopy, Chromatography, Chemistry, 010401 analytical chemistry, 04 agricultural and veterinary sciences, Honey, chemometrics, 040401 food science, 01 natural sciences, Sweetening, 0104 chemical sciences, Analytical Chemistry, Chemometrics, Ingredient, Adulteration, 0404 agricultural biotechnology, authenticity, Food products, Metabolomics, Food science, Sugar
Abstract

Honey is a natural sweetening agent widely used in food products and as a daily diet ingredient, but it also has medicinal properties. An increase in the demand for honey has resulted in adulteration by different sugar syrups. Authentication is therefore important for consumer confidence. This comprehensive overview covers known syrup adulterants and the analytical methodologies adopted for their detection in honey. For instance, TLC is the oldest method for honey analysis. C-isotope methods such as SCIRA, which can differentiate adulterated honey from C3 plants, are explained. Common analytical techniques such as HPAEC, GC, and HPLC are discussed. Advanced techniques, including IR, NMR, and Raman spectroscopy, which enhance the analysis process for larger numbers of samples, are also presented. Finally, Q-TOF-MS is addressed as a metabolomics-based detection method, since it has recently gained momentum following the increase in different adulterants that make detection more difficult.

Published
2017

50. Determination of 12 Carbamate Insecticides in Typical Vegetables and Fruits by Rapid Multi-Plug Filtration Cleanup and Ultra-Performance Liquid Chromatography/Tandem Mass Spectrometry Detection.

Author

Ma, Lili, Zhao, Liuwei, Wang, Jiaqi, Pan, Canping, Liu, Cong, Wang, Yu, Ding, Qi, Feng, Yuechao, Zhou, Huijuan, and Jia, Li

Subjects
*TANDEM mass spectrometry, *COWPEA, *CUCUMBERS, *WATERMELONS, *LIQUID chromatography, *ELECTROSPRAY ionization mass spectrometry, *MATRIX effect, *SOLID phase extraction
Abstract

A multiresidue method for determining 12 carbamate pesticides in purple cabbage, orange, watermelon, cucumber, cowpea and Lactuca sativa L. employing multi-plug filtration cleanup (m-PFC) and ultra-performance liquid chromatography coupled with electrospray ionization tandem mass spectrometry (UPLC-ESI-MS/MS) was developed. M-PFC was carried out by cleanup at dispersive solid phase extraction (d-SPE), one m-PFC tip-filtration, two m-PFC tip-filtration and other methods (1–3 m-PFC cleanups). Results demonstrated that filtration simplified the cleanup method compared with d-SPE and other m-PFC methods (1–3 m-PFC cleanups). The method validation results showed that the method was linear, selective and accurate. The limits of quantification (LOQs) were 0.05–5.0 μg/kg, and the recoveries were in the range of 70.1–119.9% in different matrices. Although matrix effects were observed, they were successfully compensated using matrix-matched calibration. Finally, the developed method was successfully applied to detect pesticides in real samples. [ABSTRACT FROM AUTHOR]

Published
2020
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