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Methodological assessment for efficient collection of Schistosoma mansoni environmental DNA and improved schistosomiasis surveillance in tropical wetlands.
Acta Trop
December 2024
Graduate School of Human Development and Environment, Kobe University: 3-11, Tsurukabuto, Nada-ku, Kobe, Hyogo, 657-8501, Japan. Electronic address:
Schistosomiasis, caused by trematodes of genus Schistosoma, is among the most seriously neglected tropical diseases. Although rapid surveillance of risk areas for Schistosoma transmission is vital to control schistosomiasis, the habitat and infection status of this parasite are difficult to assess. Environmental DNA (eDNA) analysis, involving the detection of extra-organismal DNA in water samples, facilitates cost-efficient and sensitive biomonitoring of aquatic environments and is a promising tool to identify Schistosoma habitat and infection risk areas.
View Article and Find Full Text PDF[Comparison of the efficiency of different etiological assays for detection of infections in wild mice].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
December 2023
Anhui Provincial Institute of Schistosomiasis Control, Hefei, Anhui 230601, China.
Objective: To compare the efficiency of multiple etiological techniques for detection of infections in wild mice, so as to provide technical supports to assessment of schistosomiasis transmission risk.
Methods: Wild mice were captured with baited traps at night in snail-infested settings in schistosomiasis-endemic foci of Anhui Province from October to November, 2022. infections were detected in wild mice using microscopy of mouse liver tissues, microscopy of mouse mesenteric tissues, microscopy of mouse liver tissue homogenates, miracidial hatching test of mouse liver tissue homogenates, Kato-Katz technique and miracidial hatching test of mouse stool samples alone and in combinations.
Inhibition of carbonic anhydrase using aspirin is a novel method to block schistosomiasis infection of the parasitic trematode, Schistosoma mansoni, in the intermediate snail host, Biomphalaria glabrata.
Exp Parasitol
November 2023
Division of Science & Mathematics, University of the District of Columbia, 4200 Connecticut Ave, NW Washington, D.C., 20008, USA; Department of Microbiology, Immunology & Tropical Medicine, Research Center for Neglected Diseases of Poverty, School of Medicine & Health Sciences, The George Washington University Ross Hall, 2300 I Street, NW Washington DC, 20037, USA. Electronic address:
Schistosomiasis is a major public health concern worldwide. Although praziquantel is currently available as the only treatment option for schistosomiasis, the absence of reliable diagnostic and prognostic tools highlights the need for the identification and characterization of new drug targets. Recently, we identified the B.
View Article and Find Full Text PDFDifferentiation between Bulinus truncatus and Bulinus hexaploidus by morphological characters, chromosomal study and compatibility with Schistosoma haematobium.
Exp Parasitol
May 2023
Medical Malacology Department, Theodor Bilharz Research Institute, Giza, Egypt. Electronic address:
Schistosomiasis is a snail-born, neglected tropical disease (NTD) caused by blood flukes (trematode worms) of the genusSchistosoma. It is the second most socioeconomically devastating parasitic disease after malaria. Urogenital schistosomiasis is caused by Schistosoma haematobium which is transmitted by snail intermediate host of the genus Bulinus.
View Article and Find Full Text PDF[Current status and prospects of artificial intelligence in schistosomiasis prevention and control].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
November 2022
Institute for Artificial Intelligence in Medicine, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China.
Schistosomiasis is a parasitic disease that seriously endangers human health and affects socioeconomic developments. Artificial intelligence technology has been widely used in clinical medical sciences, including tumor screening, and electrocardiogram, imaging and pathological analyses, which has potential for precision control of schistosomiasis. Currently, artificial intelligence technology has been employed for clinical assessment of schistosomiasis-associated hepatic fibrosis and ectopic schistosomiasis, prognostic prediction of advanced schistosomiasis, automated identification of and eggs and miracidia, epidemiological surveillance of schistosomiasis, and drug discovery.
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