JD

Jingwen Deng

Guangzhou University of Chinese Medicine

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Chuanjian Lu

Guangdong Provincial Hospital of Traditional Chinese Medicine

Danni Yao

Guangdong Provincial Hospital of Traditional Chinese Medicine

Hao Deng

Yangtze University

Yuhong Yan

Guangzhou University of Chinese Medicine

Ling Han

Southern University of Science and Technology

Jingjie Yu

Guangzhou University of Chinese Medicine

Xinfeng Guo

Guangzhou University of Chinese Medicine

Shuyan Ye

Guangzhou University of Chinese Medicine

Charlie Changli Xue

Ministry of Agriculture and Rural Affairs

Anthony Lin Zhang

RMIT University

Cooperative Institutions

Guangzhou University of Chinese Medicine

Guangdong Provincial Hospital of Traditional Chinese Medicine

Zhejiang University

Chinese Academy of Medical Sciences & Peking Union Medical College

Guangdong Academy of Medical Sciences

Chinese Academy of Sciences

First Affiliated Hospital Zhejiang University

Peking University

Shantou University

Fudan University

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How customer behavior has transformed as e-commerce has developed in the digital economy

BCP Business & Management (2022)

The growth of e-commerce, a brand-new category of networked economic activity, has significantly impacted the Internet's expansion. Also, people purchase and sell goods through the Internet and other informational networks. It contributed to the development of the physical and virtual economy. It plays a significant role in advancing the rise of digital industrialization, the industrialization of business, the digitization of government, the enhancement of the quality of life for the populace, and the expansion of the national economy and social progress. Since e-commerce has been promoted as the primary national strategy in recent years, more people are aware of it and are attempting to engage in it. This paper will examine the characteristics of e-commerce and its rapid development from the standpoint of the digital economy. This paper will examine how customers' consumption patterns evolved during the same period. In addition, this paper will examine consumers' selection, consumption, and utilization of goods and services, as well as their emotional, psychological, and behavioral responses, from the standpoint of consumer behavior. Marketers may impact customers most by analyzing consumer behavior to determine how to sell their products.

Digitization

Industrialisation

Consumption

Digital Economy

Consumer behaviour

Digital Revolution

10.54691/bcpbm.v33i.2836

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Citations (1)

Progress in susceptibility genes of Psoriasis in Chinese population

Journal of Molecular Diagnostics and Therapy (2011)

Psoriasis is a common skin disease with strong genetic risk. It is a highly heterogeneous condition and the aetiology of it varies from different races and different districts. In recent years, with the development and application of GWAS, a lot of new susceptibility genes of psoriasis were found. Investigations suggest that LCE and MHC is significantly associated with susceptibility of psoriasis in Chinese, but it is different from the reports about Europeans. PSORS9 has been proven to be the specific susceptibility site in chinese psoriatic.

Genetic predisposition

Genome-wide Association Study

Etiology

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Complementary Medicine Research (2015)

Claudia M. Witt Jürgen Barth Claudia Canella Miriam Ortiz Benno Brinkhaus

10.1159/000431138

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Multi-omics approach identifies PI3 as a biomarker for disease severity and hyper-keratinization in psoriasis

Journal of Dermatological Science (2023)

Jingwen Deng Emmerik F A Leijten Yongzhan Zhu Michel Olde Nordkamp Shuyan Ye

BackgroundPsoriasis is an immune-mediated inflammatory skin disease. Psoriasis severity evaluation is important for clinicians in the assessment of disease severity and subsequent clinical decision making. However, no objective biomarker is available for accurately evaluating disease severity in psoriasis.ObjectiveTo define and compare biomarkers of disease severity and progression in psoriatic skin.MethodsWe performed proteome profiling to study the proteins circulating in the serum from patients with psoriasis, psoriatic arthritis and ankylosing spondylitis, and transcriptome sequencing to investigate the gene expression in skin from the same cohort. We then used machine learning approaches to evaluate different biomarker candidates across several independent cohorts. In order to reveal the cell-type specificity of different biomarkers, we also analyzed a single-cell dataset of skin samples. In-situ staining was applied for the validation of biomarker expression.ResultsWe identified that the peptidase inhibitor 3 (PI3) was significantly correlated with the corresponding local skin gene expression, and was associated with disease severity. We applied machine learning methods to confirm that PI3 was an effective psoriasis classifier, Finally, we validated PI3 as psoriasis biomarker using in-situ staining and public datasets. Single-cell data and in-situ staining indicated that PI3 was specifically highly expressed in keratinocytes from psoriatic lesions.ConclusionOur results suggest that PI3 may be a psoriasis-specific biomarker for disease severity and hyper-keratinization.

Omics

10.1016/j.jdermsci.2023.07.005

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Natural Killer T Cells in Various Mouse Models of Hepatitis

BioMed Research International (2021)

Jun Guan Gang Wang Qin Yang Chao Chen Jingwen Deng

Natural killer T (NKT) cells are a key component of innate immunity. Importantly, a growing body of evidence indicates that NKT cells play an integral role in various acute and chronic liver injuries. NKT cells participate in the progression of an injury through the secretion of cytokines, which promote neutrophil infiltration and enhance Fas ligand (FasL) and granzyme-mediated NKT cytotoxic activity. Therefore, examining the role of NKT cells in hepatic disease is critical for a comprehensive understanding of disease pathogenesis and may provide insight into novel approaches for treatment. For more than a century, mouse models that imitate the physiopathological conditions of human disease have served as a critical tool in biological and medical basic research, including studies of liver disease. Here, we review the role of NKT cells in various mouse models of hepatitis.

Granzyme

10.1155/2021/1782765

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Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach

Frontiers in Immunology (2022)

Jingwen Deng Carlotta Schieler José A. M. Borghans Chuanjian Lu Aridaman Pandit

Psoriasis is a chronic inflammatory skin disorder. Although it has been studied extensively, the molecular mechanisms driving the disease remain unclear. In this study, we utilized a tree-based machine learning approach to explore the gene regulatory networks underlying psoriasis. We then validated the regulators and their networks in an independent cohort. We identified some key regulators of psoriasis, which are candidates to serve as potential drug targets and disease severity biomarkers. According to the gene regulatory network that we identified, we suggest that interferon signaling represents a key pathway of psoriatic inflammation.

Gene regulatory network

10.3389/fimmu.2022.921408

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Deep Sequencing of Plasma Exosomal microRNA Level in Psoriasis Vulgaris Patients

Frontiers in Medicine (2022)

Xiumin Chen Danni Yao Maojie Wang Xiaodong Wu Jingwen Deng

Psoriasis is a chronic skin disease affecting 1% to 3% of the world population. Psoriasis vulgaris (PV) is the most common form of psoriasis. PV patients suffer from inflamed, pruritic and painful lesions for years (even a lifetime). However, conventional drugs for PV are costly. Considering the need for long-term treatment of PV, it is urgent to discover novel biomarkers and therapeutic targets. Plasma exosomal miRNAs have been identified as the reliable biomarkers and therapy targets of human diseases. Here, we described the levels of serum exosomal miRNAs in PV patients and analyzed the functional features of differently expressed miRNAs and their potential target genes for the first time. We identified 1182 miRNAs including 336 novel miRNAs and 246 differently expressed miRNAs in serum exosomes of healthy people and PV patients. Furthermore, the functional analysis found differently expressed miRNA-regulated target genes enriched for specific GO terms including primary metabolic process, cellular metabolic process, metabolic process, organic substance metabolic process, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway containing cellular processes, human diseases, metabolic pathways, metabolism and organismal systems. In addition, we found that some predicted target genes of differentially expressed miRNAs, such as CREB1, RUNX2, EGFR, are both involved in inflammatory response and metabolism. In summary, our study identifies many candidate miRNAs involved in PV, which could provide potential biomarkers for diagnosis of PV and targets for clinical therapies against PV.

KEGG

Exosome

Biological pathway

10.3389/fmed.2022.895564

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Acupuncture Therapies for Psoriasis Vulgaris: A Systematic Review of Randomized Controlled Trials

Complementary Medicine Research (2015)

Meaghan Coyle Jingwen Deng Anthony Lin Zhang Jingjie Yu Xinfeng Guo

The purpose of this review was to evaluate the efficacy and safety of acupuncture therapies in the treatment of psoriasis vulgaris. Embase, CENTRAL, PubMed, AMED, CINAHL, CNKI, CQVIP, CBM, and Wanfang databases were searched from inceptions to May 2013 for prospective randomized controlled trials evaluating acupuncture therapies for psoriasis vulgaris. No language limitations were applied. Studies were assessed using the Cochrane risk of bias tool. The primary outcome was Psoriasis Area Severity Index (PASI) score. Six studies (involving 522 participants) met the eligibility criteria for this review, and 5 were included in quantitative analysis. Due to the diversity of interventions, comparators and reported outcomes, meta-analysis was not possible. Results from single studies produced conflicting results for the outcomes PASI reduction, lesion reduction (non-PASI), PASI score, and relapse rate. There is some evidence of benefit of acupuncture therapies for the treatment of psoriasis vulgaris. However, the conclusions are limited by the small number of included trials and conflicting results from single studies. More research is needed to clarify the effect of acupuncture therapies for psoriasis vulgaris.

CINAHL

10.1159/000381225

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Citations (18)

Tagungen und Kongresse ・ Meetings and Conferences

Complementary Medicine Research (2015)

Claudia M. Witt Jürgen Barth Claudia Canella Miriam Ortiz Benno Brinkhaus

10.1159/000431139

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Simulation and Optimization Study on Layout Planning of Plant Factory Based on WITNESS

International Journal of Security and Its Applications (2016)

Li Ma Meiqiong Ma Chao Ma Jingwen Deng Xingluo Liu

The emergence of plant factory has solved great restriction problem of natural environment in the traditional agriculture.Therefore, it has been the research concentrate on the facility agriculture in recent years.However, the reasonability of factory's production process and layout determines quality of the product, production efficiency and economic benefits.This paper took Wuchang Jingtian Plant Factory as an example, analyzed the production process and layout and provided a corresponding improvement scheme which was verified by the WITNESS simulation software.An optimal solution was determined from the evaluation index of production efficiency, busy rate, production cycle etc.. Besides, the simulation analysis of production cost before and after the improvement verified the improved plant factory operation is effective and feasible.This improvement scheme not only improved efficiency of production system of the plant factory, but also reduced the operating cost.

Factory (object-oriented programming)

10.14257/ijsia.2016.10.5.26

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