Article
Environmental Sciences
Zhi Chen, Fen Wang, Wen Zhang, Shuangshuang Zhou, Di Wen, Ren Mu
Summary: This study aimed to determine the gastrointestinal adverse effects of mycotoxin zearalenone (ZEN) in Drosophila melanogaster (D. melanogaster) and reveal its possible mechanisms of action in insects. The results showed that chronic exposure to ZEN led to dose-dependent death of flies, decreased survival rates and climbing ability, and activated immune deficiency-mediated intestinal immunity in the midgut. Additionally, ZEN exposure induced morphological changes in the adult midgut and high levels of oxidative stress, which caused cell death, impaired gut barrier function, and increased gut permeability.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Article
Agriculture, Dairy & Animal Science
Yumeng Xi, Yue Li, Shijia Ying, Junshu Yan, Zhendan Shi
Summary: This study evaluated the effects of different administration routes of bacterial lipopolysaccharide (LPS) on intestinal mucosal morphology, immunological function, and microbial barrier in goslings. The results showed that intraperitoneal LPS injection increased the thickness of the intestinal wall, while oral LPS treatment primarily affected the villus height. Moreover, oral LPS treatment altered the structure of the intestinal microbiome and caused damage to the mucosal immune barrier.
Article
Environmental Sciences
Li Kong, Ai-Hong Zhao, Qian-Wen Wang, Yan-Qin Feng, Zi-Hui Yan, Ming-Hao Li, Fa-Li Zhang, Han Wang, Kai-Yu Shen, Ying Liu, Yu-Jiang Sun, Wei Shen, Lan Li
Summary: This study investigated the toxic effects of maternal ZEN exposure on offspring folliculogenesis through breast milk. Results showed that maternal ZEN exposure significantly inhibited the process of primordial follicle (PF) assembly and reduced the number of PFs in suckled offspring's ovaries.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Aline Dionizio, Dawud Abduweli Uyghurturk, Carina Guimaraes Souza Melo, Isabela Tomazini Sabino-Arias, Tamara Teodoro Araujo, Talita Mendes Silva Ventura, Juliana Vanessa Colombo Martins Perles, Jacqueline Nelisis Zanoni, Pamela Den Besten, Marilia Afonso Rabelo Buzalaf
Summary: Exposure to fluoride can lead to decreased density of intestinal neurons, increased muscle layer thickness, and changes in protein and microbiome composition in rats. Further research is needed to understand the potential inflammatory effects and alterations in the gut microbiome caused by fluoride exposure.
Article
Veterinary Sciences
Shunyi Qin, Yukai Peng, Fuze She, Jianbin Zhang, Liuan Li, Fu Chen
Summary: This study evaluated the positive effects of selenized-oligochitosan (SOC) on zearalenone-induced intestinal dysfunction in piglets. Sixty piglets were divided into four groups and assessed for various parameters related to intestinal structure and function. The results showed that SOC supplementation significantly improved intestinal health by increasing villus height, promoting enzyme activities, and enhancing tight junction protein expressions, while reducing plasma levels of metabolites associated with intestinal injury.
FRONTIERS IN VETERINARY SCIENCE
(2023)
Article
Environmental Sciences
Ruifen Kang, Sheng Li, Aneela Perveen, Jiakun Shen, Chunmei Li
Summary: Maternal exposure to T-2 toxin disrupts the balance of intestinal microflora in young mice, leading to intestinal lesions and decreased expression of key genes, ultimately causing negative effects on the intestines of young mice.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2022)
Article
Nutrition & Dietetics
Suli Zhao, Yebing Zhang, Haoyue Ding, Shouna Hu, Xiaoqing Wu, Aiguo Ma, Yan Ma
Summary: This study evaluated the function and mechanism of lutein administration on chronic ethanol-induced liver and intestinal barrier damage in rats. The results showed that lutein interventions prevented alcohol-induced liver injury, oxidative stress, and inflammation, and upregulated the protein expression of Claudin-1 and Occludin in the intestinal tissues. Lutein can improve chronic alcoholic liver injury and intestinal barrier dysfunction in rats.
Article
Pharmacology & Pharmacy
Nolwenn Dubois, Javier Munoz-Garcia, Dominique Heymann, Axelle Renodon-Corniere
Summary: Consuming high dietary glucose and having hyperglycemia can lead to chronic complications. This study investigated the effects of long-term exposure to high glucose on the intestinal barrier. The results showed that high glucose induced morphological changes and disrupted the structure of junction proteins. It also affected the functionalities of the intestinal barrier, and these alterations were more pronounced in co-culture models.
BIOCHEMICAL PHARMACOLOGY
(2023)
Article
Agriculture, Multidisciplinary
Jiamao Yan, Li Kong, Xiaoyuan Zhang, Mubin Yu, Kexin Zhu, Aihong Zhao, Dachuan Shi, Yonghong Sun, Junjie Wang, Wei Shen, Lan Li
Summary: This study found that maternal exposure to ZEN can impact ovarian development and gut microbiota in offspring, leading to reproductive disorders. These findings provide new insights for therapeutic strategies to address reproductive disorders caused by ZEN exposure.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2022)
Article
Food Science & Technology
Jinjin She, Nannan Feng, Wanglong Zheng, Hao Zheng, Peirong Cai, Hui Zou, Yan Yuan, Jianhong Gu, Zongping Liu, Jianchun Bian
Summary: The study demonstrated that exposure to Zearalenone (ZEA) resulted in severe testicular damage and a decrease in the expression of blood-testis barrier (BTB) junction-related proteins in a time-dependent manner, accompanied by an increase in autophagy-related proteins. In vitro, ZEA treatment led to an increase in cytoplasmic Ca2+ levels, autophagy markers LC3-II and p62 levels, and a decrease in BTB junction proteins, with the dislocation of the gap junction protein Cx43. Inhibition of autophagy or cytoplasmic Ca2+ was able to mitigate the effects of ZEA on BTB in TM4 cells.
Article
Environmental Sciences
Kuntan Wu, Minjie Liu, Huanbin Wang, Shahid Ali Rajput, Omar Mahmoud Al Zoubi, Shuai Wang, Desheng Qi
Summary: This study investigated the effects of Aflatoxin B1 (AFB1) and zearalenone (ZEN) on the intestines and ovaries of pregnant and lactating rats. The results showed that AFB1 reduces digestion, absorption, and antioxidant capacity in the intestines, increases intestinal mucosal permeability, and disrupts the intestinal microbiota. ZEN exacerbates the intestinal injury caused by AFB1. Additionally, AFB1 affects ovarian genes and signaling pathways, while ZEN may either exacerbate or counteract AFB1's toxicity on ovarian gene expression. This study highlights the importance of mycotoxins in the development of intestinal and ovarian diseases in pregnant and lactating mammals.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Article
Biochemistry & Molecular Biology
Biying Huang, Jingjing Wang, Aixin Gu, Tianhu Wang, Jianping Li, Anshan Shan
Summary: This study investigated the mechanism of ZEN-induced intestinal barrier damage and the involvement of the RhoA/ROCK signaling pathway. The findings showed that ZEN disrupted the intestinal epithelial barrier and activated the RhoA/ROCK signaling pathway.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Biochemistry & Molecular Biology
Deiweson Souza-Monteiro, Marcia Cristina dos Santos Guerra, Leonardo Oliveira Bittencourt, Walessa Alana Braganca Aragao, Aline Dionizio, Felipe Martins Silveira, Marilia Afonso Rebelo Buzalaf, Manoela Domingues Martins, Maria Elena Crespo-Lopez, Rafael Rodrigues Lima
Summary: This study investigated the effects of low-dose aluminum exposure on the oxidative biochemistry, proteomic profile, and morphology of the major salivary glands. The results showed that aluminum caused oxidative imbalance, dysregulation of protein expression, and histological alterations in the salivary glands. Prolonged exposure to low doses of aluminum may pose a risk to oral health.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Agriculture, Dairy & Animal Science
Haoyue Guan, Wenxue Ma, Qiong Wu, Jingzeng Cai, Ziwei Zhang
Summary: This study constructed an in vitro model of zearalenone toxicity in porcine small intestinal epithelial cells and conducted various tests. The results showed that zearalenone can cause oxidative stress, inflammatory response, and apoptosis in porcine small intestinal cells, causing damage to the intestinal tissues. The study of zearalenone's effects on the intestinal tract of swine is of great significance for the prevention and treatment of zearalenone infection in swine.
Article
Food Science & Technology
Xiaohu Zhai, Zhi Qiu, Lihua Wang, Youwen Luo, Weihua He, Junhua Yang
Summary: Exposure to deoxynivalenol (DON) can induce inflammation and disrupt intestinal tight junctions in laying hens, possibly due to dysbiosis of the intestinal microbiota.
Article
Agriculture, Dairy & Animal Science
Rui Gao, Qingwei Meng, Jianan Li, Yuanyuan Zhang, Chongpeng Bi, Anshan Shan
JOURNAL OF ANIMAL SCIENCE AND BIOTECHNOLOGY
(2016)
Article
Ecology
Rui Gao, Qingming Kong, Hongguang Wang, Zhongbin Su
RANGELAND ECOLOGY & MANAGEMENT
(2019)
Article
Computer Science, Artificial Intelligence
Zhongbin Su, Wei Li, Zheng Ma, Rui Gao
Summary: Studies show that fine-tuning methods with model fusion can improve semantic segmentation of remote sensing images. The proposed approach combines DenseNet, U-Net, dilated convolution, and DeconvNet to enhance U-Net's performance, showing improvement in various evaluation indexes, segmentation speed, and parameter efficiency.
APPLIED INTELLIGENCE
(2022)
Article
Agriculture, Multidisciplinary
Zhongbin Su, Yue Wang, Qi Xu, Rui Gao, Qingming Kong
Summary: This paper proposes an end-to-end pixel-to-pixel semantic segmentation method based on the U-Net network, combined with dense block, DenseNet, attention mechanism, and jump connection, for identifying rice lodging using UAV remote sensing images. The proposed model achieved an accuracy of 97.30% on rice lodging images, outperforming other comparison methods in the test. It also showed good performance on small sample datasets, providing a useful reference for rice breeding and agricultural insurance claims.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Agriculture, Multidisciplinary
Ying Meng, Zheng Ma, Zeguang Ji, Rui Gao, Zhongbin Su
Summary: This paper obtains canopy hyperspectral images of rice varieties using a UAV platform with a S185 hyperspectral imaging device. A hybrid convolutional neural network structure is used to automatically analyze and extract spectral and spatial features of 14 rice varieties. Additionally, an attention module is applied to optimize the model. Extensive experiments demonstrate the validity of the proposed model, achieving high accuracy in fine classification of rice varieties. The model contributes to automatic field identification and crop phenotype research, and presents new possibilities for the development of precision agriculture and smart agriculture.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Green & Sustainable Science & Technology
Siqi Liu, Yishu Jin, Zhiwen Ruan, Zheng Ma, Rui Gao, Zhongbin Su
Summary: Automatic weed control is a promising method for reducing herbicide usage and achieving sustainable agricultural development. A maize weed detection model based on the lightweight YOLO v4-tiny model, which combines an attention mechanism and a spatial pyramid pooling structure, was proposed. Comparative results showed that the proposed method achieved high accuracy, fast detection speed, and a small model size, and exhibited strong robustness to weed detection under different weather conditions.
Article
Ecology
Ying Meng, Wangshu Yuan, Erkinbek Uulu Aktilek, Zhuozhi Zhong, Yue Wang, Rui Gao, Zhongbin Su
Summary: This paper proposes a convolutional neural network classification model based on a self-attention mechanism (self-attention-1D-CNN) to improve accuracy in distinguishing between crop species in fields using canopy spectral information. After collecting canopy hyperspectral data for rice during the booting stage, five preprocessing methods and three extraction methods were used to process the data. The self-attention-1D-CNN achieved the best classification accuracy of 99.93% among different classification models.
ECOLOGICAL INFORMATICS
(2023)
Article
Agronomy
Yue Wang, Qiang Fu, Zheng Ma, Xin Tian, Zeguang Ji, Wangshu Yuan, Qingming Kong, Rui Gao, Zhongbin Su
Summary: This study proposes a method for detecting omission in uncrewed rice transplanters, using convolutional neural networks and least square fitting to improve recognition accuracy. By incorporating new neural network structures, the method achieves higher accuracy and F1 scores compared to other methods, making it suitable for practical production needs.
