Yanmei Ma
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 publicationsPengcheng 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
- 4 October 2025
- Published by Elsevier in Poultry Science
- Vol. 104 (12) , 105944
Role of long non-coding RNA Lnc9101 and Lnc8475 in regulation of innate immune response to influenza virus infection
- 4 October 2025
- Published by Elsevier in Poultry Science
- Vol. 104 (12) , 105944
Open AccessRole of long non-coding RNA Lnc9101 and Lnc8475 in regulation of innate immune response to influenza virus infection
- Open Access
- 19 January 2024
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 25 (2) , 1239
Citric Acid Promotes Immune Function by Modulating the Intestinal Barrier
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.
- 19 January 2024
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 25 (2) , 1239
Open AccessCitric Acid Promotes Immune Function by Modulating the Intestinal Barrier
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
- 1 January 2024
- Published by Walter de Gruyter GmbH in Applied Mathematics and Nonlinear Sciences
- Vol. 9 (1)
Design of intelligent simulation teaching system for college professional courses based on virtual scene
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.
- 1 January 2024
- Published by Walter de Gruyter GmbH in Applied Mathematics and Nonlinear Sciences
- Vol. 9 (1)
Open AccessDesign of intelligent simulation teaching system for college professional courses based on virtual scene
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.