Article
Public, Environmental & Occupational Health
Andrea G. Buchwald, Elise Grover, Julia Van Dyke, Katerina Kechris, Ding Lu, Yang Liu, Bo Zhong, Elizabeth J. Carlton
Summary: Urbanization increases human mobility, potentially altering the transmission of vector-borne diseases like schistosomiasis. Factors such as frequent travel and travel in July may decrease the risk of infection, while water-contact behavior also plays a role in individual infection status. Understanding the timing and frequency of human movement in and out of endemic areas is important for assessing potential drivers of rural infectious diseases.
AMERICAN JOURNAL OF EPIDEMIOLOGY
(2021)
Article
Public, Environmental & Occupational Health
Andrea G. Buchwald, Elise Grover, Julia Van Dyke, Katerina Kechris, Ding Lu, Yang Liu, Bo Zhong, Elizabeth J. Carlton
Summary: Urbanization increases human mobility, affecting the transmission of traditional rural infectious diseases. Findings suggest that frequent travel and travel in July may reduce infection risk, decreasing risky water-contact time, potentially removing opportunities for schistosome exposure.
AMERICAN JOURNAL OF EPIDEMIOLOGY
(2021)
Article
Parasitology
Elise Grover, Sara Paull, Katerina Kechris, Andrea Buchwald, Katherine James, Yang Liu, Elizabeth J. Carlton
Summary: This study investigates the physical and environmental predictors of bovine Schistosoma japonicum infection in rural areas of China using a machine learning approach. The results highlight the importance of factors such as bovine density, agricultural practices, and human infection prevalence in predicting bovine infection.
INTERNATIONAL JOURNAL FOR PARASITOLOGY
(2022)
Review
Immunology
Kaijuan Wu, Xingyu Zhai, Shuaiqin Huang, Liping Jiang, Zheng Yu, Jing Huang
Summary: Infection by Schistosoma japonicum can lead to serious organ damage and schistosomiasis japonica, with drug resistance being a continual concern. Protein kinases play essential roles in the growth and development of S. japonicum and interactions with hosts, providing potential drug targets for developing new treatments. The current challenges and problems in studying SjPKs can guide future development of anti-schistosomiasis drugs and vaccines.
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
(2021)
Article
Infectious Diseases
Hanif Ullah, Safia Arbab, Muhammad Inayat Ullah Khan, Ka Li, Nehaz Muhammad, Suleman, Abdul Qadeer, Wang Dan, Marcello Otake Sato
Summary: Schistosomiasis is a major public health issue included in neglected tropical diseases. Early diagnosis and detection of the pathogen are crucial. Traditional diagnostic techniques lack sensitivity, while mitochondrial MONA markers show promise for early detection of schistosomiasis.
INFECTION GENETICS AND EVOLUTION
(2021)
Article
Parasitology
Xianyu Piao, Ning Jiang, Shuai Liu, Jiamei Duan, Hang Dai, Nan Hou, Qijun Chen
Summary: This study identified a novel schistosomula protein, SjEKLF, which showed potential for schistosomiasis japonica immunodiagnosis and immunoprotection. SjEKLF was highly expressed in hepatic schistosomula and adult worms, and immunization with SjEKLF reduced infection symptoms in mice. These findings provide a new target for controlling schistosomiasis japonica infection and transmission.
PARASITES & VECTORS
(2023)
Review
Parasitology
Cheng Chen, Qinghong Guo, Zhiqiang Fu, Jinming Liu, Jiaojiao Lin, Kai Xiao, Pengxiang Sun, Xiaonan Cong, Runxia Liu, Yang Hong
Summary: Despite a significant decrease in the prevalence and intensity of Schistosoma japonicum infection in China, this disease remains a serious public health concern in certain endemic areas in the Philippines and Indonesia. Therefore, more accurate and sensitive diagnostic methods are crucial for further control of this disease. This review explores the research progress in techniques for diagnosing S. japonicum infection.
Article
Parasitology
Jing Huang, Xinguang Yin, Lifang Zhang, Ming Yao, Dahai Wei, Yiming Wu
Summary: This study used proteomics analysis to identify differentially expressed proteins in serum samples from patients with advanced S. japonicum-induced hepatic fibrosis, and found that C1QA and CFD may serve as potential diagnostic markers for distinguishing patients at different stages of the disease.
PARASITES & VECTORS
(2021)
Article
Biochemistry & Molecular Biology
Xiangyu Zhu, Tiansheng Liu, Ao He, Ling Zhang, Jinyang Li, Tianpu Li, Xin Miao, Minsheng You, Shijun You
Summary: In this study, a large-scale global sampling of Plutella xylostella was conducted to analyze the infection status and diversity of the maternally inherited bacteria Wolbachia in P. xylostella and its effect on mtDNA variation. The study found that Wolbachia infection rate in P. xylostella was 7%, and the strain plutWB1 may have been acquired through horizontal transmission. Wolbachia infections were associated with increased mtDNA polymorphism in the infected P. xylostella population.
MOLECULAR PHYLOGENETICS AND EVOLUTION
(2023)
Article
Infectious Diseases
Oyime P. Aula, Donald P. McManus, Malcolm K. Jones, Hong You, Pengfei Cai, Catherine A. Gordon
Summary: The DNA dipstick combined with LAMP has the potential for cost-effective, simple and accurate detection of schistosomiasis infection, contributing to control and eventual elimination of the disease.
INFECTIOUS DISEASES OF POVERTY
(2023)
Article
Parasitology
Yang Liu, PengPeng Zhang, JunHui Li, Hao Li, Chen Zhou, Yu Zhang, YingZi Ming
Summary: This study aimed to explore the association between lipid profile and liver fibrosis in patients infected with Schistosoma japonicum and develop a new predictive index. The study found that high-density lipoprotein (HDL), low-density lipoprotein (LDL), hemoglobin (HB), and platelets (PLT) were independently associated with liver fibrosis. The new index, (HDL x 100)/(LDL x HB), outperformed existing indexes in predicting liver fibrosis.
PARASITES & VECTORS
(2022)
Article
Immunology
Pengyue Jiang, Jing Wang, Shanli Zhu, Chao Hu, Yu Lin, Weiqing Pan
Summary: This study identified a schistosome miRNA (Sja-miR-71a) that exhibits anti-tumor activity in vitro and in vivo models. The miRNA was found to target a host gene (FZD4) and suppress cell proliferation and migration of hepatoma cells. These findings suggest that Sja-miR-71a could be a potential therapeutic target in cancer treatment.
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
(2022)
Article
Parasitology
Bikash R. Giri, Chuantao Fang, Guofeng Cheng
Summary: This study identified hundreds of gender-associated circRNAs in the blood fluke Schistosoma japonicum, and suggested their potential regulatory roles in gene expression through binding with microRNAs.
INTERNATIONAL JOURNAL FOR PARASITOLOGY
(2022)
Article
Immunology
Yu Zhang, Junhui Li, Hao Li, Jie Jiang, Chen Guo, Chen Zhou, Zhaoqin Zhou, Yingzi Ming
Summary: Our study used single-cell sequencing to explore the mechanism of hepatic fibrosis in murine schistosomiasis japonica. We found that NKT cells and Th2 cells were increased, and there was close communication between NKT cells and the FASLG signaling pathway. Additionally, flow cytometry analysis showed that the expression of Fasl in NKT cells, CD8+ T cells, and NK cells was higher in the schistosomiasis group. Marker genes of alternatively activated macrophages (M2) were mainly expressed in mononuclear phagocyte (MP(1)), suggesting M2-like polarization of Kupffer cells might occur in the fibrotic liver of schistosomiasis. Analysis of CXCL and CCL signaling pathways showed prominent interactions between T cells and mononuclear phagocytes.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Immunology
Shun Li, Bikash R. Giri, Jingyi Liu, Xiaobing He, Pengfei Cai, Zhizhong Jing, Guofeng Cheng
Summary: The study investigated the microRNA profiles of extracellular vesicles (EVs) isolated from host plasma at different stages of Schistosoma japonicum infection, revealing a correlation between the abundance of miRNA cargo in host plasma EVs and the stages of infection. These miRNAs may play a role in the pathogenesis and immune regulation of schistosomiasis.
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Jin-Lei Wang, Meng-Jie Bai, Hany M. Elsheikha, Qin-Li Liang, Ting-Ting Li, Xue-Zhen Cao, Xing-Quan Zhu
Review
Computer Science, Artificial Intelligence
Jorge Agnese, Jonathan Herrera, Haicheng Tao, Xingquan Zhu
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
(2020)
Review
Microbiology
Zhilong Wang, Wanhang Lu, Yiling Zhang, Feng Zou, Zhigang Jin, Tiejun Zhao
FRONTIERS IN MICROBIOLOGY
(2020)
Article
Parasitology
Hai-Yang Song, Yang Liu, Kai Chen, Jiang-Yan Chang, Yang Zou, Jian-Fa Yang, Fei-Yan Dai, Feng-Cai Zou
JOURNAL OF PARASITOLOGY
(2020)
Article
Parasitology
Zhi-Wei Zhang, Dan Chen, Yang Zou, Jun-Ling Hou, Li-Xiu Sun, Zhao Li, Jian-Fa Yang, Feng-Cai Zou, Xing-Quan Zhu
PARASITOLOGY RESEARCH
(2020)
Article
Parasitology
Li-Hua Pu, Zhao Li, Jie Wu, Yu-Lin Zhang, Jia-Qi Chen, Jian-Fa Yang, Feng-Cai Zou
PARASITOLOGY RESEARCH
(2020)
Article
Computer Science, Information Systems
Shuliang Wang, Qi Li, Chuanfeng Zhao, Xingquan Zhu, Hanning Yuan, Tianru Dai
Summary: Peak clustering, a density based clustering method, has shortcomings in finding cluster centers in low density clusters and detecting normal points as noises. Extreme clustering, which identifies density extreme points and introduces a noise detection module, overcomes these drawbacks and improves performance significantly.
INFORMATION SCIENCES
(2021)
Article
Immunology
Yang Zou, Wen-Bin Yang, Feng-Cai Zou, Rui-Qing Lin, Xing-Quan Zhu, Jun-Ling Hou
Summary: This study investigated the prevalence and subtypes of Blastocystis infections in farmed pigs in southern China, with ST5 being the predominant subtype. Factors such as gender, age, and region were considered as risk factors associated with Blastocystis infection in farmed pigs. This study provided valuable data for the control of Blastocystis infections in pigs, other animals, and humans in China.
MICROBIAL PATHOGENESIS
(2021)
Article
Computer Science, Theory & Methods
Zhabiz Gharibshah, Xingquan Zhu
Summary: This survey provides a comprehensive review of user response prediction in online advertising and related recommender applications. It covers the ecosystem, stakeholders, data availability, and prediction methods in online advertising platforms. A taxonomy is proposed to categorize machine learning methods used in different online platforms, and applications and resources in the field are also reviewed.
ACM COMPUTING SURVEYS
(2022)
Article
Immunology
Xia-Xia Liang, Yang Zou, Tao-Shan Li, Hong Chen, Sha-Sha Wang, Fu-Qiong Cao, Jian-Fa Yang, Xiao-Lin Sun, Xing-Quan Zhu, Feng-Cai Zou
Summary: This study investigated the prevalence and characterization of Giardia duodenalis and Cryptosporidium spp. in Yunling cattle in Yunnan province, China. The overall prevalence of G. duodenalis was 10.49% and Cryptosporidium spp. was 0.77%. Age was identified as a risk factor for G. duodenalis infection in Yunling cattle. Two assemblages of G. duodenalis and two species of Cryptosporidium were identified using nested PCR methods. This study provides baseline data for further research on the prevalence, genetic identity, and public health implications of these parasites in Yunling cattle.
MICROBIAL PATHOGENESIS
(2021)
Article
Microbiology
Yu-Gui Wang, Yang Zou, Ze-Zhong Yu, Dan Chen, Bin-Ze Gui, Jian-Fa Yang, Xing-Quan Zhu, Guo-Hua Liu, Feng-Cai Zou
Summary: This study investigated the prevalence and genotypes of Giardia duodenalis, Enterocytozoon bieneusi, and Cryptosporidium spp. in pet dogs and cats in Yunnan province, southwestern China. The results showed a higher prevalence and genetic diversity in dogs compared to cats, with potential zoonotic threats posed by both pet dogs and cats.
Article
Mathematical & Computational Biology
Magdalyn E. Elkin, Xingquan Zhu
Summary: Clinical trials are essential for medical advancement, but there is limited analysis of the valuable data from ClinicalTrials.gov. This study uses network analysis to understand infectious disease clinical trials, focusing on summarizing research areas and recommending clinical trials to sponsors.
NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS
(2021)
Article
Genetics & Heredity
Meilin Hao, Juncai Jiang, Yongyun Zhang, Shaoqing Wang, Guowen Fu, Fengcai Zou, Yuxiao Xie, Sumei Zhao, Weizhen Li
Summary: This study utilized RNA-seq to analyze the mammary tissue transcriptomics of water buffalo with different milk fat phenotypes, revealing differentially expressed genes (DEGs). The results indicated similar gene expression patterns between high and medium fat buffalo, with the identified DEGs involved in milk protein and fat synthesis as well as immune response.
Article
Computer Science, Artificial Intelligence
Youxi Wu, Meng Geng, Yan Li, Lei Guo, Zhao Li, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu
Summary: Nonoverlapping sequential pattern mining aims at identifying repetitive patterns in a set of discrete sequences. Compared with overlapping patterns, nonoverlapping patterns have stricter constraints on occurrences and meet the Apriori property. This paper proposes an efficient algorithm for mining high average utility nonoverlapping sequential patterns, demonstrating its efficiency and superiority through experiments.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Agriculture, Dairy & Animal Science
Hai-Yang Song, Kai-Sheng Wang, Jian-Fa Yang, Hua-Ming Mao, Li-Hua Pu, Yang Zou, Jun Ma, Xing-Quan Zhu, Feng-Cai Zou, Jun-Jun He
Summary: This study reported the prevalence and genotype distribution of Enterocytozoon bieneusi in dairy cattle in Yunnan province, China, identifying two novel zoonotic potential genotypes. Despite the low prevalence in dairy cattle, they may still pose a risk for transmitting E. bieneusi to humans. These findings are crucial for the development of effective prevention strategies for microsporidiosis.