YMYanmei Ma

Yanmei Ma

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Yanmei Ma has a total of 12 co-authors. Here are the top co-authors by number of shared publications:

  • Ji-Long Chen

    Key Laboratory of Animal Pathogen Infection and Immunology of Fujian Province, College of Animal Sciences, Fujian Agriculture and Forestry University, China

    2 shared publications
  • Jiaqi Lin

    Key Laboratory of Animal Pathogen Infection and Immunology of Fujian Province, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, China; Key Laboratory of Fujian-Taiwan Animal Pathogen Biology, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, China

    2 shared publications
  • Pengcheng Hu

    Key Laboratory of Animal Pathogen Infection and Immunology of Fujian Province, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, China; Key Laboratory of Fujian-Taiwan Animal Pathogen Biology, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, China

    2 shared publications
  • Shihong Yan

    Fujian Province Joint Laboratory of Animal Pathogen Prevention and Control of the “Belt and Road”, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, China

    2 shared publications
  • Song Wang

    Key Laboratory of Animal Pathogen Infection and Immunology of Fujian Province, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, China; Key Laboratory of Fujian-Taiwan Animal Pathogen Biology, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, China

    2 shared publications
  • Bolun Guo

    Key Laboratory of Fujian-Taiwan Animal Pathogen Biology, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, China

    1 shared publication

Latest Publications

  • Open Access

    Role of long non-coding RNA Lnc9101 and Lnc8475 in regulation of innate immune response to influenza virus infection

    by Jiaqi Lin, Pengcheng Hu, Guiheng Mei, Bolun Guo, Song Wang, Shihong Yan, Ji-Long Chen, Yanmei Ma


  • Open Access

    Citric Acid Promotes Immune Function by Modulating the Intestinal Barrier

    by Pengcheng Hu, Meng Yuan, Bolun Guo, Jiaqi Lin, Shihong Yan, Huiqing Huang, Ji-Long Chen, Song Wang, Yanmei Ma

    Amidst increasing concern about antibiotic resistance resulting from the overuse of antibiotics, there is a growing interest in exploring alternative agents. One such agent is citric acid, an organic compound commonly used for various applications. Our research findings indicate that the inclusion of citric acid can have several beneficial effects on the tight junctions found in the mouse intestine. Firstly, the study suggests that citric acid may contribute to weight gain by stimulating the growth of intestinal epithelial cells (IE-6). Citric acid enhances the small intestinal villus–crypt ratio in mice, thereby promoting intestinal structural morphology. Additionally, citric acid has been found to increase the population of beneficial intestinal microorganisms, including Bifidobacterium and Lactobacillus. It also promotes the expression of important protein genes such as occludin, ZO-1, and claudin-1, which play crucial roles in maintaining the integrity of the tight junction barrier in the intestines. Furthermore, in infected IEC-6 cells with H9N2 avian influenza virus, citric acid augmented the expression of genes closely associated with the influenza virus infection. Moreover, it reduces the inflammatory response caused by the viral infection and thwarted influenza virus replication. These findings suggest that citric acid fortifies the intestinal tight junction barrier, inhibits the replication of influenza viruses targeting the intestinal tract, and boosts intestinal immune function.


  • Open Access

    Design of intelligent simulation teaching system for college professional courses based on virtual scene

    by Yanmei Ma, Jiaqi Lin, Pengcheng Hu

    With the continuous development and progress of network science and technology, virtual reality technology has been accelerated into the field of education. Intelligent Q&A is integrated with virtual technology to create a virtual classroom in this paper. In the process of constructing the virtual classroom, the most crucial terrain modeling is completed using image drawing technology, and the general framework of the virtual classroom is obtained. BERT matches the possible statements in the Q&A system, starting with text recognition. The hypotheses related to the virtual scene are proposed. The validity of the hypotheses is verified, and the effect of using the teaching system is analyzed from three aspects, namely, learning satisfaction, professional course grades, and lecture effect. The results showed that the perceived usefulness of the teaching system had the most significant impact on student’s attitudes toward its use, with a regression coefficient of 0.6452 and a p-value of less than 0.01, and the hypotheses were all valid. The head-up rates of students in the two majors were 56.4061% and 70.2056%, respectively, which ranged from 50% to 75%. The evaluation grade was “good,” and the overall performance of the simulation teaching system was good.