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Saidu U, Ibrahim MA, de Koning HP, McKerrow JH, Caffrey CR, Balogun EO. Human schistosomiasis in Nigeria: present status, diagnosis, chemotherapy, and herbal medicines. Parasitol Res 2023; 122:2751-2772. [PMID: 37851179 DOI: 10.1007/s00436-023-07993-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 09/26/2023] [Indexed: 10/19/2023]
Abstract
Schistosomiasis is a neglected tropical disease caused by a parasitic, trematode blood fluke of the genus Schistosoma. With 20 million people infected, mostly due to Schistosoma haematobium, Nigeria has the highest burden of schistosomiasis in the world. We review the status of human schistosomiasis in Nigeria regarding its distribution, prevalence, diagnosis, prevention, orthodox and traditional treatments, as well as snail control strategies. Of the country's 36 states, the highest disease prevalence is found in Lagos State, but at a geo-political zonal level, the northwest is the most endemic. The predominantly used diagnostic techniques are based on microscopy. Other methods such as antibody-based serological assays and DNA detection methods are rarely employed. Possible biomarkers of disease have been identified in fecal and blood samples from patients. With respect to preventive chemotherapy, mass drug administration with praziquantel as well as individual studies with artemisinin or albendazole have been reported in 11 out of the 36 states with cure rates between 51.1 and 100%. Also, Nigerian medicinal plants have been traditionally used as anti-schistosomal agents or molluscicides, of which Tetrapleura tetraptera (Oshosho, aridan, Aidan fruit), Carica papaya (Gwanda, Ìbẹ́pẹ, Pawpaw), Borreria verticillata (Karya garma, Irawo-ile, African borreria), and Calliandra portoricensis (Tude, Oga, corpse awakener) are most common in the scientific literature. We conclude that the high endemicity of the disease in Nigeria is associated with the limited application of various diagnostic tools and preventive chemotherapy efforts as well as poor knowledge, attitudes, and practices (KAP). Nonetheless, the country could serve as a scientific base in the discovery of biomarkers, as well as novel plant-derived schistosomicides and molluscicides.
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Affiliation(s)
- Umar Saidu
- Department of Biochemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
- Africa Centre of Excellence for Neglected Tropical Diseases and Forensic Biotechnology, Ahmadu Bello University, Zaria, Nigeria
| | - Mohammed Auwal Ibrahim
- Department of Biochemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria.
- Africa Centre of Excellence for Neglected Tropical Diseases and Forensic Biotechnology, Ahmadu Bello University, Zaria, Nigeria.
| | - Harry P de Koning
- Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - James H McKerrow
- Center for Discovery and Innovation in Parasitic Diseases, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Drive, MC0657, La Jolla, CA, 92093, USA
| | - Conor R Caffrey
- Center for Discovery and Innovation in Parasitic Diseases, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Drive, MC0657, La Jolla, CA, 92093, USA
| | - Emmanuel Oluwadare Balogun
- Department of Biochemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria.
- Africa Centre of Excellence for Neglected Tropical Diseases and Forensic Biotechnology, Ahmadu Bello University, Zaria, Nigeria.
- Center for Discovery and Innovation in Parasitic Diseases, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Drive, MC0657, La Jolla, CA, 92093, USA.
- Department of Biomedical Chemistry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan.
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Liu X, Sun Y, Yin Y, Dai X, Bergquist R, Gao F, Liu R, Liu J, Wang F, Lv X, Zhang Z. Influence of urbanization on schistosomiasis infection risk in Anhui Province based on sixteen year's longitudinal surveillance data: a spatio-temporal modelling study. Infect Dis Poverty 2023; 12:108. [PMID: 38017569 PMCID: PMC10685489 DOI: 10.1186/s40249-023-01163-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 11/15/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Urbanization greatly affects the natural and social environment of human existence and may have a multifactoral impact on parasitic diseases. Schistosomiasis, a common parasitic disease transmitted by the snail Oncomelania hupensis, is mainly found in areas with population aggregations along rivers and lakes where snails live. Previous studies have suggested that factors related to urbanization may influence the infection risk of schistosomiasis, but this association remains unclear. This study aimed to analyse the effect of urbanization on schistosomiasis infection risk from a spatial and temporal perspective in the endemic areas along the Yangtze River Basin in China. METHODS County-level schistosomiasis surveillance data and natural environmental factor data covering the whole Anhui Province were collected. The urbanization level was characterized based on night-time light data from the Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) and the National Polar-Orbiting Partnership's Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). The geographically and temporally weighted regression model (GTWR) was used to quantify the influence of urbanization on schistosomiasis infection risk with the other potential risk factors controlled. The regression coefficient of urbanization was tested for significance (α = 0.05), and the influence of urbanization on schistosomiasis infection risk was analysed over time and across space based on significant regression coefficients. Variables studied included climate, soil, vegetation, hydrology and topography. RESULTS The mean regression coefficient for urbanization (0.167) is second only to the leached soil area (0.300), which shows that the urbanization is the most important influence factors for schistosomiasis infection risk besides leached soil area. The other important variables are distance to the nearest water source (0.165), mean minimum temperature (0.130), broadleaf forest area (0.105), amount of precipitation (0.073), surface temperature (0.066), soil bulk density (0.037) and grassland area (0.031). The influence of urbanization on schistosomiasis infection risk showed a decreasing trend year by year. During the study period, the significant coefficient of urbanization level increased from - 0.205 to - 0.131. CONCLUSIONS The influence of urbanization on schistosomiasis infection has spatio-temporal heterogeneous. The urbanization does reduce the risk of schistosomiasis infection to some extend, but the strength of this influence decreases with increasing urbanization. Additionally, the effect of urbanization on schistosomiasis infection risk was greater than previous reported natural environmental factors. This study provides scientific basis for understanding the influence of urbanization on schistosomiasis, and also provides the feasible research methods for other similar studies to answer the issue about the impact of urbanization on disease risk.
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Affiliation(s)
- Xin Liu
- College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China
| | - Yang Sun
- College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China
- No. 8 Institute of Geology and Mineral Resources Exploration of Shandong Province, Rizhao, Shandong, China
| | - Yun Yin
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Xiaofeng Dai
- College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China
| | | | - Fenghua Gao
- Anhui Institute of Schistosomiasis Control, Hefei, Anhui, China
| | - Rui Liu
- College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China
| | - Jie Liu
- College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China
| | - Fuju Wang
- College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China
| | - Xiao Lv
- College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China
| | - Zhijie Zhang
- School of Public Health, Fudan University, Shanghai, China.
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
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Chala B. Advances in Diagnosis of Schistosomiasis: Focus on Challenges and Future Approaches. Int J Gen Med 2023; 16:983-995. [PMID: 36967838 PMCID: PMC10032164 DOI: 10.2147/ijgm.s391017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/07/2023] [Indexed: 03/20/2023] Open
Abstract
Schistosomiasis is the second most devastating parasite prevalent in the tropical region of the world, posing significant public health impacts in endemic areas. Presently, several disease mitigation measures have shown a decline in transmission of the infection rate in risk localities using mass drug administration (MDA) of school-based or community-wide treatments. Despite all the endeavors made, the decline in transmission of infection rate has not been attained in the entire medicated segment of the population. Perhaps the current challenges of control of the disease appear to be strongly associated with a lack of appropriate diagnostic tools. It's well known that the current diagnosis of schistosomiasis greatly relies on conventional methods. On the other hand, minor symptoms of schistosomiasis and low sensitivity and specificity of diagnostic methods are still unresolved diagnostic challenges to clinicians. Numerous scholars have reviewed various diagnostic methods of schistosomiasis and attempted to identify their strengths and weaknesses, currently on function. As a result of the known limitations of the existing diagnostic tools, the need to develop new and feasible diagnostic methods and diagnostic markers is unquestionable for more precise detection of the infection. Hence, advances in diagnostic methods have been considered part of the solution for the control and eventual elimination strategy of the disease in endemic areas. As of today, easy, cheap, and accurate diagnostics for schistosomiasis are difficult to get, and this limits the concerted efforts towards full control of schistosomiasis. While looking for new diagnostic methods and markers, it is important to simultaneously work on improving the existing diagnostic methods for better results. This review tries to give new insights to the status of the existing diagnostic methods of schistosomiasis from conventional to modern via summarizing the strengths and limitations of the methods. It also tries to recommend new, sensitive and feasible diagnostic methods for future approaches.
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Affiliation(s)
- Bayissa Chala
- Department of Applied Biology, School of Applied Natural Science, Adama Science and Technology University, Adama, Ethiopia
- Correspondence: Bayissa Chala, Email ;
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Mei Z, Lv S, Tian L, Wang W, Jia T. The Efficiency of Commercial Immunodiagnostic Assays for the Field Detection of Schistosoma japonicum Human Infections: A Meta-Analysis. Pathogens 2022; 11:pathogens11070791. [PMID: 35890035 PMCID: PMC9318282 DOI: 10.3390/pathogens11070791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 07/10/2022] [Accepted: 07/11/2022] [Indexed: 11/16/2022] Open
Abstract
Although great strides have been achieved, schistosomiasis japonica remains a major public health concern in China. Immunodiagnostics have been widely accepted as the first choice in large-scale screening of Schistosoma japonicum human infections, and indirect hemagglutination test (IHA), enzyme-linked immunosorbent assay (ELISA), and dipstick dye immunoassay (DDIA) are currently the three most common immunological tests for the diagnosis of S. japonicum human infections in China. This meta-analysis aimed to comprehensively assess the performance of IHA, ELISA, and DDIA for the field diagnosis of S. japonicum human infections. A total of 37 eligible publications were enrolled in the final analysis, including 29 Chinese publications and 8 English publications. No significant heterogeneities were detected among the studies reporting ELISA (I2 = 88%, p < 0.05), IHA (I2 = 95%, p < 0.05), or DDIA (I2 = 84%, p < 0.05). DDIA showed the highest pooled sensitivity (90.8%, 95% CI: 84.6% to 94.7%) and IHA presented the highest pooled specificity for detection of S. japonicum human infections (71.6%, 95% CI: 65.9% to 76.7%). Summary receiver operating characteristic (SROC) curve analysis showed that IHA exhibited the highest area under the SROC curve (AUC) (0.88, 95% CI: 0.85 to 0.9), and ELISA presented the lowest AUC (0.85, 95% CI: 0.82 to 0.88). Deeks’ funnel plots indicated no publication bias. IHA presented the highest sensitivity in medium-endemicity regions and the highest specificity for diagnosis of S. japonicum human infections in low-endemicity regions, and ELISA showed the highest diagnostic sensitivity in high-endemicity regions and the highest specificity in medium-endemicity regions, while DDIA exhibited the highest diagnostic sensitivity in high-endemicity regions and the highest specificity in low-endemicity regions. IHA and DDIA presented a higher efficiency for the diagnosis of S. japonicum human infections in marshland and lake regions than in hilly and mountainous regions, while ELISA showed a comparable diagnostic sensitivity between in marshland and lake regions and hilly and mountainous regions (88.3% vs. 88.6%), and a higher specificity in marshland and lake regions than in hilly and mountainous regions (60% vs. 48%). Our meta-analysis demonstrates a comparable diagnostic accuracy of IHA, ELISA, and DDIA for S. japonicum human infections, and the diagnostic sensitivity and specificity of IHA, ELISA, and DDIA vary in types and infection prevalence of endemic regions. DDIA combined with IHA is recommended as a tool for screening chemotherapy targets and seroepidemiological surveys during the stage moving towards schistosomiasis elimination in China. Further studies to examine the effectiveness of combinations of two or three immunological tests for diagnosis of S. japonicum human infections are warranted.
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Affiliation(s)
- Zhongqiu Mei
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of National Health Commission on Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, Shanghai 200025, China; (Z.M.); (S.L.); (L.T.)
| | - Shan Lv
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of National Health Commission on Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, Shanghai 200025, China; (Z.M.); (S.L.); (L.T.)
| | - Liguang Tian
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of National Health Commission on Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, Shanghai 200025, China; (Z.M.); (S.L.); (L.T.)
| | - Wei Wang
- Key Laboratory of National Health Commission on Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasites and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China
- Correspondence: (W.W.); (T.J.)
| | - Tiewu Jia
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of National Health Commission on Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, Shanghai 200025, China; (Z.M.); (S.L.); (L.T.)
- Correspondence: (W.W.); (T.J.)
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Wanlop A, Dang-Trinh MA, Kirinoki M, Suguta S, Shinozaki K, Kawazu SI. A simple and efficient miracidium hatching technique for preparing a single-genome DNA sample of Schistosoma japonicum. J Vet Med Sci 2022; 84:1108-1110. [PMID: 35732429 PMCID: PMC9412067 DOI: 10.1292/jvms.21-0536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
In this study, a simple and efficient miracidium hatching technique (MHT) protocol for
preparing a single-genome DNA of Schistosoma japonicum was proposed. The
protocol was designed with 96-well plates to collect a miracidium for single-genome DNA
preparation, and the effects of lighting conditions on hatching rates were evaluated. The
highest hatching rate was recorded under sunlight (92.4%), followed by fluorescent light
(88.0%), and the lowest rate was recorded under the dark condition (4.7%). The results
suggested for the first time, to our knowledge, that sunlight was efficient for this
simple MHT protocol. Successful amplification of microsatellite marker genes using DNA
isolated from a single miracidium also confirmed the quality of the single-genome DNA for
subsequent applications.
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Affiliation(s)
- Atcharaphan Wanlop
- National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine
| | | | - Masashi Kirinoki
- Department of Tropical Medicine and Parasitology, Dokkyo Medical University
| | - Saki Suguta
- National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine
| | - Kaho Shinozaki
- National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine
| | - Shin-Ichiro Kawazu
- National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine
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Hoermann J, Kuenzli E, Schaefer C, Paris DH, Bühler S, Odermatt P, Sayasone S, Neumayr A, Nickel B. Performance of a rapid immuno-chromatographic test (Schistosoma ICT IgG-IgM) for detecting Schistosoma-specific antibodies in sera of endemic and non-endemic populations. PLoS Negl Trop Dis 2022; 16:e0010463. [PMID: 35622871 PMCID: PMC9212132 DOI: 10.1371/journal.pntd.0010463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 06/21/2022] [Accepted: 05/02/2022] [Indexed: 11/18/2022] Open
Abstract
Background
Schistosomiasis, an acute and chronic parasitic disease caused by human pathogenic Schistosoma species, is a neglected tropical disease affecting more than 220 million people worldwide.
For diagnosis of schistosomiasis, stool and urine microscopy for egg detection is still the recommended method, however sensitivity of these methods is limited. Therefore, other methods like molecular detection of DNA in stool, detection of circulating cathodic antigen in urine or circulating anodic antigen in urine and serum, as well as serological tests have gained more attention. This study examines the sensitivity and specificity of a rapid diagnostic test based on immunochromatography (Schistosoma ICT IgG-IgM, LD Bio, Lyon, France) for simultaneous detection of specific IgG and IgM antibodies in serum, against Schistosoma spp. in endemic and non-endemic populations.
Methodology/Principal findings
Frozen banked serum samples from patients with confirmed schistosomiasis, patients with other helminth infections, patients with seropositive rheumatoid arthritis and healthy blood donors were used to assess the sensitivity and the specificity of the Schistosoma ICT IgG-IgM rapid diagnostic test.
The test showed a sensitivity of 100% in patients with parasitologically confirmed schistosomiasis, irrespective of the species (S. mansoni, S. haematobium, S. japonicum, S. mekongi). In healthy blood donors and patients with rheumatoid factor positive rheumatoid arthritis from Europe, specificity was 100%. However, in serum samples of patients with other tissue invasive helminth infections, the test showed some cross-reactivity, resulting in a specificity of 85%.
Conclusion/Significance
With its high sensitivity, the Schistosoma ICT IgG-IgM rapid diagnostic test is a suitable screening test for detection of Schistosoma specific antibodies, including S. mekongi. However, in populations with a high prevalence of co-infection with other tissue invasive helminths, positive results should be confirmed with other diagnostic assays due to the test’s imperfect specificity.
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Affiliation(s)
- Julie Hoermann
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Esther Kuenzli
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Carmen Schaefer
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Daniel H. Paris
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Silja Bühler
- Division of Hygiene and Infectious Diseases, Institute for Hygiene and Environment, Hamburg, Germany
| | - Peter Odermatt
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Somphou Sayasone
- Department of International Program for Health in the Tropics, Lao Tropical and Public Health Institute, Vientiane, Lao People’s Democratic Republic
| | - Andreas Neumayr
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- Department of Public Health and Tropical Medicine, College of Public Health, Medical and Veterinary Sciences, James Cook University, Queensland, Australia
| | - Beatrice Nickel
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- * E-mail:
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Liang S, Ponpetch K, Zhou YB, Guo J, Erko B, Stothard JR, Murad MH, Zhou XN, Satrija F, Webster JP, Remais JV, Utzinger J, Garba A. Diagnosis of Schistosoma infection in non-human animal hosts: A systematic review and meta-analysis. PLoS Negl Trop Dis 2022; 16:e0010389. [PMID: 35522699 PMCID: PMC9116658 DOI: 10.1371/journal.pntd.0010389] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 05/18/2022] [Accepted: 04/03/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Reliable and field-applicable diagnosis of schistosome infections in non-human animals is important for surveillance, control, and verification of interruption of human schistosomiasis transmission. This study aimed to summarize uses of available diagnostic techniques through a systematic review and meta-analysis. METHODOLOGY AND PRINCIPAL FINDINGS We systematically searched the literature and reports comparing two or more diagnostic tests in non-human animals for schistosome infection. Out of 4,909 articles and reports screened, 19 met our inclusion criteria, four of which were considered in the meta-analysis. A total of 14 techniques (parasitologic, immunologic, and molecular) and nine types of non-human animals were involved in the studies. Notably, four studies compared parasitologic tests (miracidium hatching test (MHT), Kato-Katz (KK), the Danish Bilharziasis Laboratory technique (DBL), and formalin-ethyl acetate sedimentation-digestion (FEA-SD)) with quantitative polymerase chain reaction (qPCR), and sensitivity estimates (using qPCR as the reference) were extracted and included in the meta-analyses, showing significant heterogeneity across studies and animal hosts. The pooled estimate of sensitivity was 0.21 (95% confidence interval (CI): 0.03-0.48) with FEA-SD showing highest sensitivity (0.89, 95% CI: 0.65-1.00). CONCLUSIONS/SIGNIFICANCE Our findings suggest that the parasitologic technique FEA-SD and the molecular technique qPCR are the most promising techniques for schistosome diagnosis in non-human animal hosts. Future studies are needed for validation and standardization of the techniques for real-world field applications.
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Affiliation(s)
- Song Liang
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- * E-mail:
| | - Keerati Ponpetch
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, United States of America
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
- Sirindhorn College of Public Health Trang, Faculty of Public Health and Allied Health Sciences, Praboromarajchanok Institute, Trang, Thailand
| | - Yi-Biao Zhou
- School of Public Health, Fudan University, Shanghai, People’s Republic of China
| | - Jiagang Guo
- Department of Control of Neglected Tropical Diseases, World Health Organization, Geneva, Switzerland
| | - Berhanu Erko
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - J. Russell Stothard
- Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Merseyside, United Kingdom
| | - M. Hassan Murad
- Division of Public Health, Infectious Diseases and Occupational Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Xiao-Nong Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, People’s Republic of China
| | - Fadjar Satrija
- Department of Animal Infectious Diseases and Veterinary Public Health, Faculty of Veterinary Medicine, IPB University, Bogor, Indonesia
| | - Joanne P. Webster
- Department of Pathobiology and Population Sciences, Royal Veterinary College, Hertfordshire, United Kingdom
| | - Justin V. Remais
- School of Public Health, University of California, Berkeley, Berkeley, California, United States of America
| | - Jürg Utzinger
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Amadou Garba
- Department of Control of Neglected Tropical Diseases, World Health Organization, Geneva, Switzerland
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Belizario VY, Delos Trinos JPCR, Sison OT, Destura RV, Medina JR, Gigataras AJE, Petronio-Santos JAG, Abarientos AB. Evaluation of loop-mediated isothermal amplification assay and enzyme-linked immunosorbent assay in detecting Schistosoma japonicum in Siargao Island, Surigao del Norte, the Philippines. Acta Trop 2022; 228:106306. [PMID: 35038427 DOI: 10.1016/j.actatropica.2022.106306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 12/11/2021] [Accepted: 01/06/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVES This study aimed to describe the prevalence and seroprevalence of schistosomiasis in Siargao Island, Surigao del Norte and to compare the performance of enzyme-linked immunosorbent assay antibody test (ELISA Ab) and loop-mediated isothermal amplification assay (LAMP) for diagnosis of schistosomiasis. METHODS The study was conducted in selected barangays (villages) in five municipalities in Siargao Island, Surigao del Norte and included school-age children (SAC) who submitted stool and blood samples. Stool samples were examined using the Kato-Katz technique. Blood samples were collected through venipuncture. The stool samples and the blood samples collected were tested using LAMP assay and polymerase chain reaction (PCR). The blood samples were examined using ELISA Ab. Diagnostic performance of LAMP assay using stool specimen was evaluated using Kato-Katz technique and PCR assay as the composite reference standard, while PCR assay was used as the reference standard to evaluate LAMP assay and ELISA Ab using blood specimens. RESULTS A total of 417 stool samples from SAC were examined. The prevalence of schistosomiasis and moderate-heavy intensity (MHI) schistosomiasis were 3.8% and 1.4%, respectively. Schistosomiasis and soil-transmitted helminthiases (STH) coinfection prevalence were 2.6%. A total of 425 blood samples were examined using ELISA Ab. Seroprevalence was 61.6%. The municipality of San Isidro had the highest seroprevalence at 84.8%, while Burgos had the lowest seroprevalence at 48.5%.LAMP assay had higher sensitivity and positive predictive value but lower specificity when using stool than when using blood samples. Its negative predictive value was similar regardless of the specimen used. ELISA Ab has higher sensitivity and negative predictive value than LAMP assay although it has lower specificity and positive predictive value. This may be due to ELISA Ab measuring Schistosoma exposure and is thus unable to distinguish past from active infection. CONCLUSIONS Schistosomiasis remains a public health concern in Siargao Island, Surigao del Norte. The locally developed LAMP assay offers a simpler diagnostic test for schistosomiasis compared with PCR, while minimizing the risk of misdiagnosis compared with Kato-Katz technique. It could serve as a point of care diagnostics for schistosomiasis. ELISA Ab is more useful in surveillance particularly in low-endemicity areas where determination of exposure is more important than differentiating past from active infection. ELISA Ab may be helpful in the clinical setting when coupled with the expertise of a physician who is familiar with schistosomiasis.
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Affiliation(s)
- Vicente Y Belizario
- College of Public Health, University of the Philippines (UP) Manila, Manila, Philippines; Neglected Tropical Diseases Study Group, National Institutes of Health (NIH), UP Manila, Manila, Philippines
| | - John Paul Caesar R Delos Trinos
- Neglected Tropical Diseases Study Group, National Institutes of Health (NIH), UP Manila, Manila, Philippines; Kirby Institute, University of New South Wales-Sydney, Australia
| | - Olivia T Sison
- Institute of Clinical Epidemiology, NIH, UP Manila, Manila, Philippines
| | - Raul V Destura
- Institute of Molecular Biology and Biotechnology, NIH, UP Manila, Manila, Philippines; Research and Biotechnology Division, Manila HealthTek, Marikina, Philippines
| | - John Robert Medina
- College of Public Health, University of the Philippines (UP) Manila, Manila, Philippines
| | - April Joy E Gigataras
- Neglected Tropical Diseases Study Group, National Institutes of Health (NIH), UP Manila, Manila, Philippines
| | | | - Adrian B Abarientos
- Institute of Molecular Biology and Biotechnology, NIH, UP Manila, Manila, Philippines
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9
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Gordon CA, Williams GM, Gray DJ, Clements ACA, Zhou XN, Li Y, Utzinger J, Kurscheid J, Forsyth S, Addis Alene K, Zhou J, Li Z, Li G, Lin D, Lou Z, Li S, Ge J, Xu J, Yu X, Hu F, Xie S, Chen J, Shi T, Li C, Zheng H, McManus DP. Schistosomiasis in the People's Republic of China - down but not out. Parasitology 2022; 149:218-233. [PMID: 35234601 PMCID: PMC11010531 DOI: 10.1017/s0031182021001724] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/30/2021] [Accepted: 10/01/2021] [Indexed: 11/06/2022]
Abstract
Schistosomiasis has been subjected to extensive control efforts in the People's Republic of China (China) which aims to eliminate the disease by 2030. We describe baseline results of a longitudinal cohort study undertaken in the Dongting and Poyang lakes areas of central China designed to determine the prevalence of Schistosoma japonicum in humans, animals (goats and bovines) and Oncomelania snails utilizing molecular diagnostics procedures. Data from the Chinese National Schistosomiasis Control Programme (CNSCP) were compared with the molecular results obtained.Sixteen villages from Hunan and Jiangxi provinces were surveyed; animals were only found in Hunan. The prevalence of schistosomiasis in humans was 1.8% in Jiangxi and 8.0% in Hunan determined by real-time polymerase chain reaction (PCR), while 18.3% of animals were positive by digital droplet PCR. The CNSCP data indicated that all villages harboured S. japonicum-infected individuals, detected serologically by indirect haemagglutination assay (IHA), but very few, if any, of these were subsequently positive by Kato-Katz (KK).Based on the outcome of the IHA and KK results, the CNSCP incorporates targeted human praziquantel chemotherapy but this approach can miss some infections as evidenced by the results reported here. Sensitive molecular diagnostics can play a key role in the elimination of schistosomiasis in China and inform control measures allowing for a more systematic approach to treatment.
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Affiliation(s)
- Catherine A. Gordon
- Department of Immunology, Molecular Parasitology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Gail M. Williams
- School of Population Health, Discipline of Epidemiology and Biostatistics, University of Queensland, Brisbane, Australia
| | - Darren J. Gray
- Department of Global Health, Research School of Population Health, Australian National University, Canberra, Australia
| | | | - Xiao-Nong Zhou
- National Institute of Parasitic Diseases, Shanghai, People's Republic of China
| | - Yuesheng Li
- Department of Immunology, Molecular Parasitology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan, People's Republic of China
| | - Jürg Utzinger
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Johanna Kurscheid
- Department of Global Health, Research School of Population Health, Australian National University, Canberra, Australia
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Simon Forsyth
- School of Population Health, Discipline of Epidemiology and Biostatistics, University of Queensland, Brisbane, Australia
| | | | - Jie Zhou
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan, People's Republic of China
| | - Zhaojun Li
- Jiangxi Institute of Parasitic Diseases, Jiangxi, People's Republic of China
| | - Guangpin Li
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan, People's Republic of China
| | - Dandan Lin
- Jiangxi Institute of Parasitic Diseases, Jiangxi, People's Republic of China
| | - Zhihong Lou
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan, People's Republic of China
| | - Shengming Li
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan, People's Republic of China
| | - Jun Ge
- Jiangxi Institute of Parasitic Diseases, Jiangxi, People's Republic of China
| | - Jing Xu
- National Institute of Parasitic Diseases, Shanghai, People's Republic of China
| | - Xinling Yu
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan, People's Republic of China
| | - Fei Hu
- Jiangxi Institute of Parasitic Diseases, Jiangxi, People's Republic of China
| | - Shuying Xie
- Jiangxi Institute of Parasitic Diseases, Jiangxi, People's Republic of China
| | - Jie Chen
- Chinese National Human Genome Center, Shanghai, People's Republic of China
| | - Tao Shi
- Chinese National Human Genome Center, Shanghai, People's Republic of China
| | - Chong Li
- Chinese National Human Genome Center, Shanghai, People's Republic of China
| | - Huajun Zheng
- Chinese National Human Genome Center, Shanghai, People's Republic of China
| | - Donald P. McManus
- Department of Immunology, Molecular Parasitology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia
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10
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Bi NN, Zhao S, Zhang JF, Cheng Y, Zuo CY, Yang GL, Yang K. Proteomics Investigations of Potential Protein Biomarkers in Sera of Rabbits Infected With Schistosoma japonicum. Front Cell Infect Microbiol 2022; 11:784279. [PMID: 35004354 PMCID: PMC8729878 DOI: 10.3389/fcimb.2021.784279] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 11/26/2021] [Indexed: 12/05/2022] Open
Abstract
Schistosomiasis is a chronic parasitic disease that continues to be a pressing public health problem in many developing countries. The primary pathological damage from the disease is granuloma and fibrosis caused by egg aggregation, and early treatment can effectively prevent the occurrence of liver fibrosis. Therefore, it is very important to identify biomarkers that can be used for early diagnosis of Schistosoma japonicum infection. In this study, a label-free proteomics method was performed to observe the alteration of proteins before infection, 1 and 6 weeks after infection, and 5 and 7 weeks after treatment. A total of 10 proteins derived from S. japonicum and 242 host-derived proteins were identified and quantified as significantly changed. Temporal analysis was carried out to further analyze potential biomarkers with coherent changes during infection and treatment. The results revealed biological process changes in serum proteins compared to infection and treatment groups, which implicated receptor-mediated endocytosis, inflammatory response, and acute-phase response such as mannan-binding lectin serine peptidase 1, immunoglobulin, and collagen. These findings offer guidance for the in-depth analysis of potential biomarkers of schistosomiasis, host protein, and early diagnosis of S. japonicum and its pathogenesis. Data are available via ProteomeXchange with identifier PXD029635.
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Affiliation(s)
- Nian-Nian Bi
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Song Zhao
- National Health Commission (NHC) Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, China.,The Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Jian-Feng Zhang
- National Health Commission (NHC) Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, China
| | - Ying Cheng
- The Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Chen-Yang Zuo
- The Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Gang-Long Yang
- The Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Kun Yang
- School of Public Health, Nanjing Medical University, Nanjing, China.,National Health Commission (NHC) Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, China
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11
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Su Q, Bergquist R, Ke Y, Dai J, He Z, Gao F, Zhang Z, Hu Y. A comparison of modelling the spatio-temporal pattern of disease: a case study of schistosomiasis japonica in Anhui Province, China. Trans R Soc Trop Med Hyg 2021; 116:555-563. [PMID: 34893918 DOI: 10.1093/trstmh/trab174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 09/30/2021] [Accepted: 10/27/2021] [Indexed: 11/15/2022] Open
Abstract
The construction of spatio-temporal models can be either descriptive or dynamic. In this study we aim to evaluate the differences in model fitting between a descriptive model and a dynamic model of the transmission for intestinal schistosomiasis caused by Schistosoma japonicum in Guichi, Anhui Province, China. The parasitological data at the village level from 1991 to 2014 were obtained by cross-sectional surveys. We used the fixed rank kriging (FRK) model, a descriptive model, and the integro-differential equation (IDE) model, a dynamic model, to explore the space-time changes of schistosomiasis japonica. In both models, the average daily precipitation and the normalized difference vegetation index are significantly positively associated with schistosomiasis japonica prevalence, while the distance to water bodies, the hours of daylight and the land surface temperature at daytime were significantly negatively associated. The overall root mean square prediction error of the IDE and FRK models was 0.0035 and 0.0054, respectively, and the correlation reflected by Pearson's correlation coefficient between the predicted and observed values for the IDE model (0.71; p<0.01) was larger than that for the FRK model (0.53; p=0.02). The IDE model fits better in capturing the geographic variation of schistosomiasis japonica. Dynamic spatio-temporal models have the advantage of quantifying the process of disease transmission and may provide more accurate predictions.
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Affiliation(s)
- Qing Su
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China.,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China
| | | | - Yongwen Ke
- Schistosomiasis Station of Prevention and Control in Guichi Distirct, Anhui Province, China
| | - Jianjun Dai
- Schistosomiasis Station of Prevention and Control in Guichi Distirct, Anhui Province, China
| | - Zonggui He
- Schistosomiasis Station of Prevention and Control in Guichi Distirct, Anhui Province, China
| | - Fenghua Gao
- Anhui Provincial Institute of Parasitic Diseases, Hefei, China
| | - Zhijie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China.,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yi Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China.,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China
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12
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Guo Q, Zhou K, Chen C, Yue Y, Shang Z, Zhou K, Fu Z, Liu J, Lin J, Xia C, Tang W, Cong X, Sun X, Hong Y. Development of a Recombinase Polymerase Amplification Assay for Schistosomiasis Japonica Diagnosis in the Experimental Mice and Domestic Goats. Front Cell Infect Microbiol 2021; 11:791997. [PMID: 34869085 PMCID: PMC8635165 DOI: 10.3389/fcimb.2021.791997] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 10/27/2021] [Indexed: 11/13/2022] Open
Abstract
Although the prevalence of schistosomiasis japonica has declined gradually in China, more accurate and sensitive diagnostic methods are urgently needed for the prevention and control of this disease. Molecular diagnostic methods are advantageous in terms of sensitivity and specificity, but they are time-consuming and require expensive instruments and skilled personnel, which limits their application in low-resource settings. In this study, an isothermal DNA amplification assay and recombinase polymerase amplification (RPA) combined with lateral flow dipstick (LFD) were set up. It was used to detect S. japonicum infections in experimental mice and domestic goats by amplifying a specific DNA fragment of S. japonicum. The lower limit of detection for the LFD-RPA assay was evaluated using dilutions of plasmid containing the target sequence. Cross-reactivity was evaluated using genomic DNA from eight other parasites. The effectiveness of the LFD-RPA assay was verified by assessing 36 positive plasma samples and 36 negative plasma samples from mice. The LFD-RPA assay and real-time PCR were also used to assess 48 schistosomiasis japonica-positive plasma samples and 53 negative plasma samples from goats. The LFD-RPA assay could detect 2.6 femtogram (fg) of S. japonicum target DNA (~39 fg genomic DNA of S. japonicum), only 10-fold less sensitive than real-time PCR assay. There was no cross-reactivity with DNA from the other eight parasites, such as Haemonchus contortus and Spirometra. The whole amplification process could be completed within 15 min at 39°C, and the results can be observed easily using the LFD. The sensitivity and specificity of the LFD-RPA assay were 97.22% (35/36, 95% CI, 85.47%-99.93%) and 100% (36/36, 95% CI, 90.26%-100%) in mice, and 93.75% (45/48, 95% CI, 82.80%-98.69%) and 100% (53/53, 95% CI, 93.28%-100%) in goats. By comparison, the sensitivity and specificity of real-time PCR were 100% (36/36, 95% CI, 90.26%-100%) and 100% (36/36, 95% CI, 90.26%-100%) for mice, and 97.92% (47/48, 95% CI, 88.93%-99.95%) and 100% (53/53, 95% CI, 93.28%-100%) for goats. The LFD-RPA assay exhibits high sensitivity and specificity for the diagnosis of schistosomiasis japonica, and it is an alternative method for diagnosis schistosomiasis japonica in low resource setting.
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Affiliation(s)
- Qinghong Guo
- National Reference Laboratory for Animal Schistosomiasis, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.,Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Kerou Zhou
- National Reference Laboratory for Animal Schistosomiasis, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.,Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Cheng Chen
- National Reference Laboratory for Animal Schistosomiasis, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.,Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Yongcheng Yue
- National Reference Laboratory for Animal Schistosomiasis, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.,Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Zheng Shang
- National Reference Laboratory for Animal Schistosomiasis, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.,Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Keke Zhou
- National Reference Laboratory for Animal Schistosomiasis, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.,Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Zhiqiang Fu
- National Reference Laboratory for Animal Schistosomiasis, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.,Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Jinming Liu
- National Reference Laboratory for Animal Schistosomiasis, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.,Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Jiaojiao Lin
- National Reference Laboratory for Animal Schistosomiasis, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.,Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Chenyang Xia
- Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Science, Lhasa, China
| | - Wenqiang Tang
- Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Science, Lhasa, China
| | - Xiaonan Cong
- Huancui Development Center for Animal Husbandry, Weihai, China
| | - Xuejun Sun
- Huancui Development Center for Animal Husbandry, Weihai, China
| | - Yang Hong
- National Reference Laboratory for Animal Schistosomiasis, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
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13
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Wang F, Liu X, Bergquist R, Lv X, Liu Y, Gao F, Li C, Zhang Z. Bayesian maximum entropy-based prediction of the spatiotemporal risk of schistosomiasis in Anhui Province, China. BMC Infect Dis 2021; 21:1171. [PMID: 34809601 PMCID: PMC8607674 DOI: 10.1186/s12879-021-06854-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 11/09/2021] [Indexed: 12/03/2022] Open
Abstract
Background “Schistosomiasis” is a highly recurrent parasitic disease that affects a wide range of areas and a large number of people worldwide. In China, schistosomiasis has seriously affected the life and safety of the people and restricted the economic development. Schistosomiasis is mainly distributed along the Yangtze River and in southern China. Anhui Province is located in the Yangtze River Basin of China, with dense water system, frequent floods and widespread distribution of Oncomelania hupensis that is the only intermediate host of schistosomiasis, a large number of cattle, sheep and other livestock, which makes it difficult to control schistosomiasis. It is of great significance to monitor and analyze spatiotemporal risk of schistosomiasis in Anhui Province, China. We compared and analyzed the optimal spatiotemporal interpolation model based on the data of schistosomiasis in Anhui Province, China and the spatiotemporal pattern of schistosomiasis risk was analyzed. Methods In this study, the root-mean-square-error (RMSE) and absolute residual (AR) indicators were used to compare the accuracy of Bayesian maximum entropy (BME), spatiotemporal Kriging (STKriging) and geographical and temporal weighted regression (GTWR) models for predicting the spatiotemporal risk of schistosomiasis in Anhui Province, China. Results The results showed that (1) daytime land surface temperature, mean minimum temperature, normalized difference vegetation index, soil moisture, soil bulk density and urbanization were significant factors affecting the risk of schistosomiasis; (2) the spatiotemporal distribution trends of schistosomiasis predicted by the three methods were basically consistent with the actual trends, but the prediction accuracy of BME was higher than that of STKriging and GTWR, indicating that BME predicted the prevalence of schistosomiasis more accurately; and (3) schistosomiasis in Anhui Province had a spatial autocorrelation within 20 km and a temporal correlation within 10 years when applying the optimal model BME. Conclusions This study suggests that BME exhibited the highest interpolation accuracy among the three spatiotemporal interpolation methods, which could enhance the risk prediction model of infectious diseases thereby providing scientific support for government decision making.
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Affiliation(s)
- Fuju Wang
- College of Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Xin Liu
- College of Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China.
| | | | - Xiao Lv
- College of Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Yang Liu
- College of Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Fenghua Gao
- Anhui Institute of Schisomiasis Control and Research, Hefei, 230061, China
| | - Chengming Li
- Chinese Academy of Surveying and Mapping, Beijing, 100036, China
| | - Zhijie Zhang
- School of Public Health, Fudan University, Shanghai, 200032, China.
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14
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Catalano S, Léger E, Fall CB, Borlase A, Diop SD, Berger D, Webster BL, Faye B, Diouf ND, Rollinson D, Sène M, Bâ K, Webster JP. Multihost Transmission of Schistosoma mansoni in Senegal, 2015-2018. Emerg Infect Dis 2021; 26:1234-1242. [PMID: 32441625 PMCID: PMC7258455 DOI: 10.3201/eid2606.200107] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
In West Africa, Schistosoma spp. are capable of infecting multiple definitive hosts, a lifecycle feature that may complicate schistosomiasis control. We characterized the evolutionary relationships among multiple Schistosoma mansoni isolates collected from snails (intermediate hosts), humans (definitive hosts), and rodents (definitive hosts) in Senegal. On a local scale, diagnosis of S. mansoni infection ranged 3.8%-44.8% in school-aged children, 1.7%-52.6% in Mastomys huberti mice, and 1.8%-7.1% in Biomphalaria pfeifferi snails. Our phylogenetic framework confirmed the presence of multiple S. mansoni lineages that could infect both humans and rodents; divergence times of these lineages varied (0.13-0.02 million years ago). We propose that extensive movement of persons across West Africa might have contributed to the establishment of these various multihost S. mansoni clades. High S. mansoni prevalence in rodents at transmission sites frequented by humans further highlights the implications that alternative hosts could have on future public health interventions.
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15
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Rodpai R, Sadaow L, Boonroumkaew P, Phupiewkham W, Thanchomnang T, Limpanont Y, Chusongsang P, Sanpool O, Ohmae H, Yamasaki H, Intapan PM, Maleewong W. Comparison of point-of-care test and enzyme-linked immunosorbent assay for detection of immunoglobulin G antibodies in the diagnosis of human schistosomiasis japonica. Int J Infect Dis 2021; 107:47-52. [PMID: 33864916 DOI: 10.1016/j.ijid.2021.04.039] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 04/10/2021] [Accepted: 04/12/2021] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE Schistosomiasis japonica is an important helminthic disease in Asia. Sensitive and accurate diagnostic tools are indispensable for clinical diagnosis, screening infection and monitoring its control. In this study, we developed an immunochromatographic test (Sj-ICT) to detect anti-Schistosoma japonicum immunoglobulin G antibodies in human sera. METHODS Somatic extract from adult S. japonicum was used as an antigen. The Sj-ICT was developed and optimized as a point-of-care test. All 214 human serum samples were evaluated for diagnostic usefulness and comparison with an enzyme-linked immunosorbent assay (ELISA). RESULTS The diagnostic sensitivity, specificity, positive and negative predictive values, and accuracy of the Sj-ICT were 90.8%, 87.9%, 86.4%, 91.9% and 89.3%, respectively. For ELISA the values were respectively 91.8%, 87.9%, 86.5%, 92.7% and 89.7%. The concordance between both methods was 86.4 % (Cohen's kappa value = 0.729). CONCLUSIONS The immunochromatographic test kit developed can support clinical diagnosis and large-scale surveys in endemic areas without requiring additional facilities or ancillary supplies.
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Affiliation(s)
- Rutchanee Rodpai
- Department of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Mekong Health Science Research Institute, Khon Kaen University, Khon Kaen, Thailand
| | - Lakkhana Sadaow
- Department of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Mekong Health Science Research Institute, Khon Kaen University, Khon Kaen, Thailand
| | - Patcharaporn Boonroumkaew
- Department of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Mekong Health Science Research Institute, Khon Kaen University, Khon Kaen, Thailand
| | - Weeraya Phupiewkham
- Department of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Mekong Health Science Research Institute, Khon Kaen University, Khon Kaen, Thailand
| | - Tongjit Thanchomnang
- Mekong Health Science Research Institute, Khon Kaen University, Khon Kaen, Thailand; Faculty of Medicine, Mahasarakram University, Mahasarakram, Thailand
| | - Yanin Limpanont
- Applied Malacology Laboratory, Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Phiraphol Chusongsang
- Applied Malacology Laboratory, Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Oranuch Sanpool
- Department of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Mekong Health Science Research Institute, Khon Kaen University, Khon Kaen, Thailand.
| | - Hiroshi Ohmae
- Department of Parasitology, National Institute of Infectious Diseases, Tokyo 162-8640, Japan; Department of Tropical Medicine and Parasitology, Dokkyo Medical University, Tochigi 321-0293, Japan
| | - Hiroshi Yamasaki
- Department of Parasitology, National Institute of Infectious Diseases, Tokyo 162-8640, Japan
| | - Pewpan M Intapan
- Department of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Mekong Health Science Research Institute, Khon Kaen University, Khon Kaen, Thailand
| | - Wanchai Maleewong
- Department of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Mekong Health Science Research Institute, Khon Kaen University, Khon Kaen, Thailand
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16
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Lv S, Yang F, Qin Z, Cao C, Xu J, Li S, Zhou XN. Assessment of the Transmission Risk of Schistosomiasis after Flooding - North Poyang Lake, Jiangxi Province, China, 2020. China CDC Wkly 2021; 3:85-89. [PMID: 34595009 PMCID: PMC8393120 DOI: 10.46234/ccdcw2021.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 01/27/2021] [Indexed: 12/04/2022] Open
Abstract
What is already known about this topic? Over 90% of Oncomelania snails, the only intermediate host of Schistosoma japonicum, are distributed in the middle and low reaches of Yangtze River. Flooding can extend the distribution of Oncomelania snails and hence accelerate the transmission of schistosomiasis.
What is added by this report? Although the dispersal of Oncomelania snails was negligible in north Poyang Lake after flooding in 2020, 2 samples of cattle feces with Schistosoma egg and 2 infected snails samples were indeed found. All four risk sites were distributed in Lushan County. Cattle feces were observed in the six out of seven field sites in Lushan County.
What are the implications for public health practice? The present national control strategy focusing on control of infection source should be reinforced in Lushan and other schistosomiasis endemic areas. Overlaps of infected snails and cattle feces with Schistosoma egg were not observed, which called for intensive surveillance in Lushan County.
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Affiliation(s)
- Shan Lv
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
| | - Fan Yang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
| | - Zhiqiang Qin
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
| | - Chunli Cao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
| | - Jing Xu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
| | - Shizhu Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
| | - Xiao-Nong Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China
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Hu Y, Bergquist R, Chen Y, Ke Y, Dai J, He Z, Zhang Z. Dynamic evolution of schistosomiasis distribution under different control strategies: Results from surveillance covering 1991-2014 in Guichi, China. PLoS Negl Trop Dis 2021; 15:e0008976. [PMID: 33406136 PMCID: PMC7787434 DOI: 10.1371/journal.pntd.0008976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 11/11/2020] [Indexed: 12/03/2022] Open
Abstract
Background Since the founding of the China, the Chinese government, depending on the changing epidemiological situations over time, adopted different strategies to continue the progress towards elimination of schistosomiasis in the country. Although the changing pattern of schistosomiasis distribution in both time and space is well known and has been confirmed by numerous studies, the problem of how these patterns evolve under different control strategies is far from being understood. The purpose of this study is, therefore, to investigate the spatio-temporal change of the distribution of schistosomiasis with special reference to how these patterns evolve under different control strategies. Methodology / Principal findings Parasitological data at the village level were obtained through access to repeated cross-sectional surveys carried out during 1991–2014 in Guichi, a rural district along the Yangtze River in Anhui Province, China. A hierarchical dynamic spatio-temporal model was used to evaluate the evolving pattern of schistosomiasis prevalence, which accounted for mechanism of dynamics of the disease. Descriptive analysis indicates that schistosomiasis prevalence displayed fluctuating high-risk foci during implementation of the chemotherapy-based strategy (1991–2005), while it took on a homogenous pattern of decreasing magnitude in the following period when the integrated strategy was implemented (2006–2014). The dynamic model analysis showed that regularly global propagation of the disease was not present after the effect of proximity to river was taken into account but local pattern transition existed. Maps of predicted prevalence shows that relatively high prevalence (>4%) occasionally occurred before 2006 and prevalence presents a homogenous and decreasing trend over the study area afterwards. Conclusions Proximity to river is still an important determinant for schistosomiasis infection regardless of different types of implemented prevention and control strategies. Between the transition from the chemotherapy-based strategy to the integrated one, we noticed a decreased prevalence. However, schistosomiasis would remain an endemic challenge in these study areas. Further prevention and control countermeasures are warranted. Schistosomiasis japonica is one of the most serious parasitic diseases in China. The Chinese government has launched three different rounds of national schistosomiasis control programs since 1950s. The latest two are the World Bank Loan Project (WBLP) that ushered in chemotherapy as the main control approach, active from 1992 to 2001, and the integrated control strategy that took its place in 2005. In this study, we investigated changes in the dynamics of schistosomiasis transmission over space and time under these different control strategies. Based on spatio-temporal analyses of the schistosomiasis prevalence data at the village level during 1991–2014 in Guichi, Anhui Province, we built a dynamic model to evaluate the evolving pattern of prevalence. We found that the schistosomiasis prevalence generally showed a north-western shift over the study area during 1991–2005, while there was no such trend during 2006–2014. This global shifting trend disappeared after the effect of proximity to river was taken into account, but local change still existed which was possibly due to the transition between the two latest national control strategies. We conclude that proximity to River is still an important determinant for schistosomiasis prevalence and that although the integrated control strategy is more effective than the WBPL in reducing schistosomiasis prevalence, the disease would remain endemic for the long term without further improvements of the control program.
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Affiliation(s)
- Yi Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China
| | | | - Yue Chen
- School of Epidemiology, Pubic Health and Preventive Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Yongwen Ke
- Schistosomiasis Station of Prevention and Control in Guichi Distirct, Anhui Province, China
| | - Jianjun Dai
- Schistosomiasis Station of Prevention and Control in Guichi Distirct, Anhui Province, China
| | - Zonggui He
- Schistosomiasis Station of Prevention and Control in Guichi Distirct, Anhui Province, China
| | - Zhijie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China
- * E-mail:
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Guo Q, Chen C, Zhou K, Li Y, Tong L, Yue Y, Zhou K, Liu J, Fu Z, Lin J, Zhao J, Sun P, Hong Y. Evaluation of a real-time PCR assay for diagnosis of schistosomiasis japonica in the domestic goat. Parasit Vectors 2020; 13:535. [PMID: 33109260 PMCID: PMC7590668 DOI: 10.1186/s13071-020-04420-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 10/21/2020] [Indexed: 12/03/2022] Open
Abstract
Background Schistosomiasis japonica is an infectious disease caused by Schistosoma japonicum that seriously endangers human health. Domestic animals have important roles in disease transmission and goats are considered a primary reservoir host and source of infection. The prevalence and intensity of schistosomiasis infections have significantly decreased in China, and a more sensitive, specific detection method is urgently needed. The aim of this study was to develop a real-time PCR assay for accurate detection of S. japonicum infection in goats. Methods A real-time PCR method for detecting schistosomiasis japonica in goats was developed by amplification of a specific S. japonicum DNA fragment, and validated using a total of 94 negative and 159 positive plasma and serum samples collected in our previous study of S. japonicum infection. Both plasma and serum samples were evaluated by real-time PCR and enzyme-linked immunosorbent assay (ELISA). In addition, 120 goat plasma samples from an S. japonicum-endemic area (Wangjiang) and 33 from a non-endemic region (Weihai) were collected and evaluated using our method. Results The sensitivity and specificity of the real-time PCR for detecting infected samples were 98.74% (157/159, 95% CI: 95.53–99.85%) and 100% (94/94, 95% CI: 96.15–100%), respectively. For the ELISA, sensitivity and specificity were 98.11% (156/159, 95% CI: 94.59–99.61%) and 90.43% (85/94, 95% CI: 82.60–95.53%), respectively. Further, we found positivity rates for S. japonicum infection in Wangjiang and Weihai of 8.33% (10/120, 95% CI: 4.07–14.79%) and 0% (0/33, 95% CI: 0–10.58%), respectively. Conclusions The results of this study indicate that our real-time PCR method exhibits higher sensitivity and specificity than ELISA and is a useful method for detection of S. japonicum infection in goats.![]()
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Affiliation(s)
- Qinghong Guo
- National Reference Laboratory of Animal Schistosomiasis, Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, 200241, P. R. China
| | - Cheng Chen
- National Reference Laboratory of Animal Schistosomiasis, Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, 200241, P. R. China
| | - Keke Zhou
- National Reference Laboratory of Animal Schistosomiasis, Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, 200241, P. R. China
| | - Yugang Li
- Huancui Development Center for Animal Husbandry, Weihai, 264200, P. R. China
| | - Laibao Tong
- Wangjiang County Center for Animal Disease Control and Prevention, Anqing, 246000, P. R. China
| | - Yongcheng Yue
- National Reference Laboratory of Animal Schistosomiasis, Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, 200241, P. R. China
| | - Kerou Zhou
- National Reference Laboratory of Animal Schistosomiasis, Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, 200241, P. R. China
| | - Jinming Liu
- National Reference Laboratory of Animal Schistosomiasis, Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, 200241, P. R. China
| | - Zhiqiang Fu
- National Reference Laboratory of Animal Schistosomiasis, Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, 200241, P. R. China
| | - Jiaojiao Lin
- National Reference Laboratory of Animal Schistosomiasis, Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, 200241, P. R. China
| | - Jiaxi Zhao
- Wangjiang County Center for Animal Disease Control and Prevention, Anqing, 246000, P. R. China
| | - Pengxiang Sun
- Center for Disease Control and Prevention of Huancui, Weihai, 264200, P. R. China
| | - Yang Hong
- National Reference Laboratory of Animal Schistosomiasis, Key Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, 200241, P. R. China.
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Budiono NG, Murtini S, Satrija F, Ridwan Y, Handharyani E. Humoral responses to Schistosoma japonicum soluble egg antigens in domestic animals in Lindu Subdistrict, Central Sulawesi Province, Indonesia. INTERNATIONAL JOURNAL OF ONE HEALTH 2020. [DOI: 10.14202/ijoh.2020.99-108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background and Aim: Schistosomiasis japonica, a disease caused by Schistosoma japonicum, is a public health problem in the Philippines, the Republic of Indonesia, and the People's Republic of China. The disease is known as zoonotic, meaning other than humans, animals are involved as the reservoirs. In Indonesia, schistosomiasis surveillance in animals is not continuous. Thus, the study to determine the prevalence of the disease in animals is needed. The study was aimed to determine the seroprevalence of S. japonicum infection among four species of domestic animals in the Lindu Sub-district, Central Sulawesi Province of Indonesia.
Materials and Methods: Blood samples of domestic animals were collected and analyzed for the presence of anti-S. japonicum immunoglobulin G antibodies against S. japonicum soluble egg antigens using the indirect hemagglutination assay. Animal stool samples were collected, and the miracidia-hatching assay was used for the detection of S. japonicum infection. Additional data concerning the animal identity and the management practices were obtained through a questionnaire used in surveys and interviews.
Results: A total of 146 sera from 13 cattle, 24 buffaloes, 54 pigs, and 55 dogs were collected. The overall schistosomiasis seroprevalence was 64.4%. The serology prevalence in cattle, buffalo, pig, and dog was 100.0%, 41.7%, 74.1%, and 56.4%, respectively. Domestic animals in all of five villages have previous exposure with S. japonicum as seropositive animals detected in every village. A total of 104 animal stool samples from 146 animals sampled were obtained. The overall schistosomiasis prevalence determined by the miracidia hatching assay was 16.35%. The sensitivity and specificity of indirect hemagglutination assay (IHA) in the current study were 88.24% and 41.37%, respectively, with miracidia hatching assay as the gold-standard method.
Conclusion: This study has shown a high seroprevalence of schistosomiasis japonica among domestic animals in the Lindu Subdistrict. IHA can be used as the screening method for the detection of S. japonicum infection in domestic animals. Chemotherapy and animal livestock grazing management programs to reduce the parasite burden and Schistosoma egg contamination in the environment must be implemented as part of one health approaches, in addition to other control measures.
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Affiliation(s)
- Novericko Ginger Budiono
- Parasitology and Medical Entomology Study Program, Graduate School, IPB University, Bogor, Indonesia
| | - Sri Murtini
- Parasitology and Medical Entomology Study Program, Graduate School, IPB University, Bogor, Indonesia; Department of Animal Infectious Diseases and Veterinary Public Health, Faculty of Veterinary Medicine, IPB University, Bogor, Indonesia
| | - Fadjar Satrija
- Parasitology and Medical Entomology Study Program, Graduate School, IPB University, Bogor, Indonesia; Department of Animal Infectious Diseases and Veterinary Public Health, Faculty of Veterinary Medicine, IPB University, Bogor, Indonesia
| | - Yusuf Ridwan
- Parasitology and Medical Entomology Study Program, Graduate School, IPB University, Bogor, Indonesia; Department of Animal Infectious Diseases and Veterinary Public Health, Faculty of Veterinary Medicine, IPB University, Bogor, Indonesia
| | - Ekowati Handharyani
- Department of Veterinary Clinics, Reproduction, and Pathology, Faculty of Veterinary Medicine, IPB University, Bogor, Indonesia
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Santos GS, Caldas RG, Melo FL, Bruscky IS, Silva MA, Wanderley LB, Andrade CA, Oliveira MD. Label-free nanostructured biosensor for Schistosoma mansoni detection in complex biological fluids. Talanta 2019; 204:395-401. [DOI: 10.1016/j.talanta.2019.05.111] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 05/29/2019] [Accepted: 05/29/2019] [Indexed: 10/26/2022]
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Ma L, Zhao W, Hou X, Liu M, Li Y, Shen L, Xu X. Identification of linear epitopes in SjSP-13 of Schistosoma japonicum using a GST-peptide fusion protein microplate array. Parasit Vectors 2019; 12:507. [PMID: 31666115 PMCID: PMC6822365 DOI: 10.1186/s13071-019-3767-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Accepted: 10/23/2019] [Indexed: 12/16/2022] Open
Abstract
Background The identification and characterization of epitopes facilitate the discovery and development of new therapeutics, vaccines and diagnostics for infectious diseases. In this study, we developed a glutathione S-transferase (GST)-peptide fusion protein microplate array for the identification of linear B-cell epitopes and applied this novel method to the identification of linear B-cell epitopes of SjSP-13, an immunodiagnostic biomarker of schistosomiasis japonica. Methods SjSP-13 was divided into 17 overlapped peptides (p1-17), and the coding sequence of each peptide was obtained by annealing two complementary oligonucleotides. SjSP-13 peptides were expressed by fusion with an N-terminal GST tag and a C-terminal 6xHis tag. The GST-peptide-His fusion protein was specifically bound to the Immobilizer Glutathione MicroWell 96-well plates without purification. SjSP-13 peptides and core epitopes that could be recognized by sera from schistosomiasis patients were identified by ELISA and confirmed by Western blot analysis. The receiver operating characteristic (ROC) analysis was performed to determine the diagnostic validity of the identified peptide. Results Full-length GST-peptide-His fusion proteins were successfully expressed and specifically bound to the Immobilizer Glutathione MicroWell 96-well plates. Two adjacent peptides (p7 and p8) were found to be highly immunogenic in humans. The core epitope of p7 and p8 is an 11-aa peptide (80KCLDVTDNLPE90) and an 8-aa peptide (90EKIIQFAE97), respectively. The area under the ROC curve (AUC) value of the peptide which contains the two identified epitopes is 0.947 ± 0.019. The diagnostic sensitivity and specificity of the peptide is 76.7% (95% CI: 68.8–84.5%) and 100%, respectively. Conclusions 90EKIIQFAE97 and 80KCLDVTDNLPE90 are the two linear epitopes of SjSP-13 recognized by patient sera, and could be potential serological markers for schistosomiasis japonica.![]()
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Affiliation(s)
- Li Ma
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Wenrong Zhao
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xunya Hou
- Hunan Institute of Parasitic Diseases, Yueyang, China
| | - Mengmeng Liu
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yanna Li
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Li Shen
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xindong Xu
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
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Budiono NG, Satrija F, Ridwan Y, Handharyani E, Murtini S. The contribution of domestic animals to the transmission of schistosomiasis japonica in the Lindu Subdistrict of the Central Sulawesi Province, Indonesia. Vet World 2019; 12:1591-1598. [PMID: 31849421 PMCID: PMC6868259 DOI: 10.14202/vetworld.2019.1591-1598] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 09/03/2019] [Indexed: 12/24/2022] Open
Abstract
Background and Aim: Schistosomiasis is endemic in Indonesia and is found in three remote areas in Central Sulawesi Province. Non-human mammals serve as reservoir hosts, meaning the disease is zoonotic. The previous schistosomiasis studies in animals from the Lindu Subdistrict did not determine which domestic animal species can serve as the primary source of transmission. No animals have been treated in Indonesia to control the disease; therefore, the parasite’s life cycle is not blocked entirely. This study aimed to determine the prevalence and identify the risk factors associated with, Schistosoma japonicum infection in animals, and identify animals’ relative contributions to S. japonicum transmission in the Lindu Subdistrict. Materials and Methods: A cross-sectional survey of S. japonicum infected animals was conducted in five villages of the Lindu Subdistrict. Fecal samples were collected from 134 selected animals (13 cattle, 26 buffaloes, 28 horses, 59 pigs, and 8 dogs). S. japonicum infection and infection intensity were determined using the Danish Bilharziasis Laboratory method. Environmental contamination with schistosome eggs was measured. The data were analyzed using a Chi-square test. Results: The overall prevalence of schistosomiasis was 32.9%, with the prevalence of infection in each species of animal at 61.5% in cattle, 42.3% in buffaloes, 25.0% in horses, 35.6% in pigs, and 12.5% in dogs. Free-range pigs were 8.667 times more likely to have S. japonicum infection than pigs kept in cages. Buffaloes, cattle, and horses were the primary sources of S. japonicum egg contamination, with relative transmission indices of 59.15%, 22.80%, and 10.61%, respectively. Conclusion: Bovines and horses are the main contributors to schistosomiasis transmission in the Lindu Subdistrict. In conjunction with other schistosomiasis control programs, the government should treat infected animals living within endemic areas where there are high infection rates of S. japonicum.
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Affiliation(s)
- Novericko Ginger Budiono
- Parasitology and Medical Entomology Study Program, Graduate School, IPB University, Bogor, Indonesia
| | - Fadjar Satrija
- Parasitology and Medical Entomology Study Program, Graduate School, IPB University, Bogor, Indonesia.,Department of Animal Infectious Diseases and Veterinary Public Health, Faculty of Veterinary Medicine, IPB University, Bogor, Indonesia
| | - Yusuf Ridwan
- Parasitology and Medical Entomology Study Program, Graduate School, IPB University, Bogor, Indonesia.,Department of Animal Infectious Diseases and Veterinary Public Health, Faculty of Veterinary Medicine, IPB University, Bogor, Indonesia
| | - Ekowati Handharyani
- Department of Veterinary Clinic, Reproduction, and Pathology, Faculty of Veterinary Medicine, IPB University, Bogor, Indonesia
| | - Sri Murtini
- Parasitology and Medical Entomology Study Program, Graduate School, IPB University, Bogor, Indonesia.,Department of Animal Infectious Diseases and Veterinary Public Health, Faculty of Veterinary Medicine, IPB University, Bogor, Indonesia
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Schistosoma japonicum cathepsin B as potential diagnostic antigen for Asian zoonotic schistosomiasis. Parasitol Res 2019; 118:2601-2608. [PMID: 31377909 DOI: 10.1007/s00436-019-06410-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 07/25/2019] [Indexed: 02/02/2023]
Abstract
In this study, the diagnostic value of Schistosoma japonicum cathepsin B (SjCatB) was evaluated as an antigen for the early detection of S. japonicum infection. SjCatB is a key protease used by the cercaria to penetrate the intact skin of the host for transdermal infection. The early exposure of the host's immune system to this enzyme may elicit early production of antibodies against this molecule. Therefore, the recombinant SjCatB (rSjCatB) was expressed in Escherichia coli with N-terminal 6xHis-tag. rSjCatB was tested for its performance as a diagnostic antigen using indirect enzyme-linked immunosorbent assay (ELISA) with sera from experimentally infected mice collected at > 8 weeks post-infection. Showing 100% sensitivity and 95.0% specificity in the ELISA, rSjCatB was then evaluated with sera from experimentally infected mice collected at 1-7 weeks post-infection to determine how early the antibodies can be detected. Results showed that as early as 6 weeks post-infection, 2 of the 3 infected mice were found to be positive with the antibodies against SjCatB. Furthermore, the potential of the recombinant antigen in detecting human schistosomiasis was evaluated with archived serum samples collected from individuals who had been diagnosed with S. japonicum infection by stool examination. Results showed 86.7% sensitivity and 96.7% specificity suggesting its high diagnostic potential for human schistosomiasis. In addition, SjCatB showed minimal cross-reaction with the sera collected from patients with other parasitic diseases. In conclusion, the results of this study suggest that SjCatB will be useful in the development of a sensitive and specific early detection test for S. japonicum infection.
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Zhao J, Chen X, Long X, Rafaels N, Campbell M, Liang H, Zhang B, Barnes KC, Hamilton RG, Chen Q. The soluble worm antigens-specific antibodies used as biomarkers of Schistosoma japonicum in a low prevalence and intensity endemic area of Hubei, China. Acta Trop 2019; 195:28-34. [PMID: 30986379 PMCID: PMC8547602 DOI: 10.1016/j.actatropica.2019.04.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 03/18/2019] [Accepted: 04/10/2019] [Indexed: 01/20/2023]
Abstract
The precise diagnosis of Schistosoma japonicum (S. japonicum) infection plays a critical role in achieving the ultimate goal of eliminating schistosomiasis in endemic regions. We evaluated the S. japonicum soluble worm antigen protein (SWAP) specific-IgG, IgG4 and IgE levels, and evaluated the association between S. japonicum infection and these antibodies in a sample of 837 residents from a S. japonicum-endemic area in Hubei province, China. The anticipants were divided into the Training Set (TS) and Validation Set (VS) based on the chronological order. Enzyme-linked immunosorbent assays were performed to detect the SWAP-specific antibodies. Three algorithms for identifying S. japonicum infection were generated in the TS and subsequently validated in the VS. The findings were further replicated in an independent cohort from an endemic area for Schistosoma mansoni (S. mansoni) in Brazil. Our results indicated for the first time that S. japonicum-infected individuals had higher levels of SWAP-specific IgG, IgG4 and IgE, and lower value of the IgE/IgG4 ratio than uninfected individuals in both the two sets (p < 0.01). Both the infected and uninfected individuals had a high prevalence of seropositivity for IgG. We further showed that the predictive model EGR (IgE/IgG4 ratio) score performed best in Chinese population (area under the receiver operating characteristic (AUROC) 0.905, sensitivity 82.7%, specificity 84.0% in the TS; AUROC 0.933, sensitivity 87.7%, specificity 89.1% in the VS). Nevertheless, the predictive model IgG4 score performed best in Brazilian cohort (AUROC 0.788, sensitivity 73.2%, specificity 73.3%). In summary, SWAP-specific IgG could be used as a biomarker for identifying individuals who have been previously exposed to S. japonicum, and furthermore the SWAP-specific IgE/IgG4 could be used as an immune biomarker for S. japonicum infection in particular in the endemic areas with low prevalence and intensity.
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Affiliation(s)
- Jianping Zhao
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Xiaoping Chen
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Xin Long
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Nicholas Rafaels
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Monica Campbell
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Huifang Liang
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Bixiang Zhang
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
| | - Robert G Hamilton
- Johns Hopkins Asthmas and Allergy Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Qian Chen
- Division of Gastroenterology, Tongji Hospital, Tongji Medical College, HUST, Wuhan, China.
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Deng Y, Qiu C, Ding H, Lu DB. The ratio of the seroprevalence to the egg-positive prevalence of Schistosoma japonicum in China: a meta-analysis. BMC Infect Dis 2018; 18:404. [PMID: 30111280 PMCID: PMC6094899 DOI: 10.1186/s12879-018-3320-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 08/09/2018] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Schistosomiasis, caused by Schistosoma japonicum, remains one of the most important parasitic diseases, and detection of S. japonicum infections in humans plays a crucial role in control and treatment. However, comparisons between the parasitological and the immunological examinations in the fields of China are lacking. Therefore we performed a meta-analysis to compare the seroprevalence of Schistosoma japonicum, as determined by IHA or ELISA, with coprological prevalence, as determined by Kato-Katz, and estimate the ratio of the serological to the egg-positive prevalence in order to evaluate the potential threat of egg-negative but worm-positive schistosomiasis. METHODS Studies published up to July 2018 on the parasitological and immunological examinations of schistosomiasis in the fields of China were searched in five databases including CNKI, WanFang, VIP, PubMed and Web of Science. The ratio of the serological to the egg-positive prevalence and its 95%CI for each study were calculated, and then point estimates and their 95%CIs of pooled prevalence ratio were meta-analyzed. Subgroup meta-analyses were also performed according to potential influential factors. RESULTS A total of 23 articles were included. The prevalence ratio varied from 0.57 to 48.83 for IHA to Kato-Katz and ranged from 0.38 to 13.97 for ELISA to Kato-Katz. The pooled ratio was 4.72 (95%CI: 3.87~ 5.76) for IHA to KK and 4.65 (95%CI: 3.50~ 6.17) for ELISA to KK. Subgroup analyses implied that the ratio of the serological to the egg-positive prevalence may decrease with the endemic levels. The highest prevalence ratio was observed when Kato-Katz was performed with three slides per stool or in hilly and mountainous regions. CONCLUSIONS The worm-determined prevalence by IHA or ELISA is 4- to 5-fold higher than the egg-determined prevalence by Kato-Katz, which implied Kato-Katz may largely underestimate the prevalence of S. japonicum in China. The degree of underestimation was greater when Kato-Katz with three slides per stool was carried out, especially in low endemic areas or in hilly and mountainous regions. Therefore, more attention should be paid to those egg-negative but worm-positive patients with the aim of final elimination of S. japonicum in China.
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Affiliation(s)
- Yao Deng
- Department of Epidemiology and Statistics, School of Public Health, Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, Suzhou, People's Republic of China
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, China
| | - Chen Qiu
- Department of Epidemiology and Statistics, School of Public Health, Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, Suzhou, People's Republic of China
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, China
| | - Huan Ding
- Department of Epidemiology and Statistics, School of Public Health, Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, Suzhou, People's Republic of China
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, China
| | - Da-Bing Lu
- Department of Epidemiology and Statistics, School of Public Health, Soochow University, Suzhou, China.
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, Suzhou, People's Republic of China.
- Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu Province, China.
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Xu X, Cui X, Zhu L, Li Z, Zhang Y, Ma L, Pan W. Effects of Polymorphisms in the SjSP-13 Gene of Schistosoma japonicum on Its Diagnostic Efficacy and Immunogenicity. Front Microbiol 2018; 9:1695. [PMID: 30140260 PMCID: PMC6094988 DOI: 10.3389/fmicb.2018.01695] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2018] [Accepted: 07/09/2018] [Indexed: 11/13/2022] Open
Abstract
Schistosomiasis japonica is one of the most prevalent parasitic diseases in China. The scarcity of effective diagnostic tools is a major factor that contributes to the high prevalence of schistosomiasis japonica. SjSP-13 is a promising serological diagnostic biomarker of the disease. However, it is unclear whether polymorphisms in SjSP-13 affect its diagnostic efficacy and immunogenicity. Here, we found the SjSP-13 gene was highly polymorphic, and all the alleles of the gene were clustered into two clades, clade A and B. SjSP-13.6 and SjSP-13.25, the representative alleles of clade A and B, were produced in Escherichia coli. The diagnostic value of SjSP-13.6 (AUC = 0.983 ± 0.006), was found to be similar to the SjSP-13.25 (AUC = 0.973 ± 0.009) by receiver operating characteristic (ROC) analysis. SjSP-13.6 and SjSP-13.25 have the same specificity (96.7%), while the sensitivity of SjSP-13.6 (90.4%) is slightly but not significantly higher than SjSP-13.25 (85.2%). The combination use of the two alleles (SjSP-13.6/25) didn’t increase the diagnostic performance of SjSP-13 as the AUC value of SjSP-13.6/25 is 0.977 ± 0.009, lower than individual SjSP-13.6 (AUC = 0.983 ± 0.006). In addition, we found the immunogenicity of clade A alleles is significantly higher than clade B in Schistosoma japonicum naturally infected animals and patients, as the mean antibody levels of SjSP-13.6 was significantly higher than SjSP-13.25. We conclude that polymorphisms of the SjSP-13 gene should not affect its diagnostic efficacy, and it is not necessary to combine the alleles of the two clades for diagnosis of schistosomiasis.
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Affiliation(s)
- Xindong Xu
- Institute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, China
| | - Xiaobing Cui
- Institute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, China
| | - Liufang Zhu
- Institute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, China
| | - Zhengli Li
- Institute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, China
| | - Yuanbin Zhang
- Institute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, China
| | - Li Ma
- Institute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, China
| | - Weiqing Pan
- Institute for Infectious Diseases and Vaccine Development, Tongji University School of Medicine, Shanghai, China.,Department of Tropical Infectious Diseases, Second Military Medical University, Shanghai, China
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27
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Abdel Gawad SS, Abu-Sarea EY, Saleh L. Epidemiological determinants correlating hepatitis C and Schistosomiasis mansoni in one of Upper Egypt governorates. BENI-SUEF UNIVERSITY JOURNAL OF BASIC AND APPLIED SCIENCES 2018. [DOI: 10.1016/j.bjbas.2017.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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28
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Borlase A, Webster JP, Rudge JW. Opportunities and challenges for modelling epidemiological and evolutionary dynamics in a multihost, multiparasite system: Zoonotic hybrid schistosomiasis in West Africa. Evol Appl 2018; 11:501-515. [PMID: 29636802 PMCID: PMC5891036 DOI: 10.1111/eva.12529] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2017] [Accepted: 08/01/2017] [Indexed: 01/01/2023] Open
Abstract
Multihost multiparasite systems are evolutionarily and ecologically dynamic, which presents substantial trans-disciplinary challenges for elucidating their epidemiology and designing appropriate control. Evidence for hybridizations and introgressions between parasite species is gathering, in part in line with improvements in molecular diagnostics and genome sequencing. One major system where this is becoming apparent is within the Genus Schistosoma, where schistosomiasis represents a disease of considerable medical and veterinary importance, the greatest burden of which occurs in sub-Saharan Africa. Interspecific hybridizations and introgressions bring an increased level of complexity over and above that already inherent within multihost, multiparasite systems, also representing an additional source of genetic variation that can drive evolution. This has the potential for profound implications for the control of parasitic diseases, including, but not exclusive to, widening host range, increased transmission potential and altered responses to drug therapy. Here, we present the challenging case example of haematobium group Schistosoma spp. hybrids in West Africa, a system involving multiple interacting parasites and multiple definitive hosts, in a region where zoonotic reservoirs of schistosomiasis were not previously considered to be of importance. We consider how existing mathematical model frameworks for schistosome transmission could be expanded and adapted to zoonotic hybrid systems, exploring how such model frameworks can utilize molecular and epidemiological data, as well as the complexities and challenges this presents. We also highlight the opportunities and value such mathematical models could bring to this and a range of similar multihost, multi and cross-hybridizing parasites systems in our changing world.
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Affiliation(s)
- Anna Borlase
- Department of Pathobiology and Population SciencesCentre for Emerging, Endemic and Exotic DiseasesRoyal Veterinary CollegeUniversity of LondonLondonUK
- Department of Infectious Disease EpidemiologyLondon Centre for Neglected Tropical Disease ResearchSchool of Public HealthImperial College LondonLondonUK
| | - Joanne P. Webster
- Department of Pathobiology and Population SciencesCentre for Emerging, Endemic and Exotic DiseasesRoyal Veterinary CollegeUniversity of LondonLondonUK
- Department of Infectious Disease EpidemiologyLondon Centre for Neglected Tropical Disease ResearchSchool of Public HealthImperial College LondonLondonUK
| | - James W. Rudge
- Department of Infectious Disease EpidemiologyLondon Centre for Neglected Tropical Disease ResearchSchool of Public HealthImperial College LondonLondonUK
- Communicable Diseases Policy Research GroupLondon School of Hygiene and Tropical MedicineLondonUK
- Faculty of Public HealthMahidol UniversityBangkokThailand
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Abstract
Schistosomiasis affects over 200 million people worldwide, most of whom are children. Research and control strategies directed at preschool-aged children (PSAC), i.e., ≤5 years old, have lagged behind those in older children and adults. With the recent WHO revision of the schistosomiasis treatment guidelines to include PSAC, and the recognition of gaps in our current knowledge on the disease and its treatment in this age group, there is now a concerted effort to address these shortcomings. Global and national schistosome control strategies are yet to include PSAC in treatment schedules. Maximum impact of schistosome treatment programmes will be realised through effective treatment of PSAC. In this review, we (i) discuss the current knowledge on the dynamics and consequences of paediatric schistosomiasis and (ii) identify knowledge and policy gaps relevant to these areas and to the successful control of schistosome infection and disease in this age group. Herein, we highlight risk factors, immune mechanisms, pathology, and optimal timing for screening, diagnosis, and treatment of paediatric schistosomiasis. We also discuss the tools required for treating schistosomiasis in PSAC and strategies for accessing them for treatment.
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Affiliation(s)
- Derick N. M. Osakunor
- Centre for Immunity, Infection and Evolution, Institute of Immunology and Infection Research, University of Edinburgh, Ashworth Laboratories, Edinburgh, United Kingdom
- * E-mail:
| | - Mark E. J. Woolhouse
- Centre for Immunity, Infection and Evolution, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Ashworth Laboratories, Edinburgh, United Kingdom
- NIHR Global Health Research Unit Tackling Infections to Benefit Africa (TIBA), University of Edinburgh, Ashworth Laboratories, Edinburgh, United Kingdom
| | - Francisca Mutapi
- Centre for Immunity, Infection and Evolution, Institute of Immunology and Infection Research, University of Edinburgh, Ashworth Laboratories, Edinburgh, United Kingdom
- NIHR Global Health Research Unit Tackling Infections to Benefit Africa (TIBA), University of Edinburgh, Ashworth Laboratories, Edinburgh, United Kingdom
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30
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He P, Gordon CA, Williams GM, Li Y, Wang Y, Hu J, Gray DJ, Ross AG, Harn D, McManus DP. Real-time PCR diagnosis of Schistosoma japonicum in low transmission areas of China. Infect Dis Poverty 2018; 7:8. [PMID: 29394958 PMCID: PMC5796516 DOI: 10.1186/s40249-018-0390-y] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 01/17/2018] [Indexed: 01/22/2023] Open
Abstract
Background Schistosomiasis in the People’s Republic of China (PRC) can be traced back to antiquity. In the past 60 years, the Chinese government has made great efforts to control this persistent disease with elimination slated by 2020 through the implementation of a comprehensive control strategy. This strategy aims to reduce the role of bovines and humans as sources of infection as a pre-requisite for elimination through transmission interruption. The goal of elimination will be achievable only by the implementation of a sustainable surveillance and control system, with sensitive diagnosis a key feature so that the true disease burden is not underestimated. Currently used diagnostics lack the necessary sensitivity to accurately determine the prevalence of Schistosoma japonicum infection in areas with low infection intensities. It is of critical importance to find and treat people and to identify animals with low-level infections if the National Control Programme for China is to achieve schistosomiasis elimination. Methods We evaluated a real-time polymerase chain reaction (qPCR) assay using 633 human stool samples collected from five villages in Hunan, Anhui, Hubei, and Jiangxi provinces, and 182 bovine (70 cattle and 112 buffalo) stool samples obtained from four villages in Hunan, Anhui, and Jiangxi provinces in the PRC. All stool samples were subjected to the miracidium hatching test (MHT, a diagnostic procedure used in the National Schistosomiasis Control Programme) and the qPCR assay. Samples positive by MHT were subjected to either the Kato-Katz technique for humans, or the formalin-ethyl acetate sedimentation-digestion (FEA-SD) procedure for bovines, to determine infection intensities. Results The qPCR assay exhibited a high level of sensitivity in the detection of S. japonicum infections. With both the human and bovine samples, a significantly higher prevalence was determined using the qPCR assay (11.06% humans, 24.73% bovines) than with the MHT (0.93% humans, 7.69% bovines). The animal contamination index (calculated using data obtained with the qPCR technique) for all positive bovines was 27 618 000 eggs per day, indicating a considerable amount of environmental egg contamination that would be underestimated using less sensitive diagnostic procedures. Conclusions The qPCR assay we have evaluated will be applicable as a future field diagnostic and surveillance tool in low-transmission zones where schistosomiasis elimination is targeted and for monitoring post-intervention areas to verify that elimination has been maintained. Electronic supplementary material The online version of this article (10.1186/s40249-018-0390-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Pei He
- Hunan Institute of Parasitic Diseases, Yueyang, People's Republic of China
| | - Catherine A Gordon
- Molecular Parasitology Laboratory, Infectious Diseases Division, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
| | - Gail M Williams
- Discipline of Epidemiology and Biostatistics, School of Population Health, University of Queensland, Brisbane, Australia
| | - Yuesheng Li
- Hunan Institute of Parasitic Diseases, Yueyang, People's Republic of China.,Molecular Parasitology Laboratory, Infectious Diseases Division, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Yuanyuan Wang
- Hunan Institute of Parasitic Diseases, Yueyang, People's Republic of China
| | - Junjian Hu
- Hunan Institute of Parasitic Diseases, Yueyang, People's Republic of China
| | - Darren J Gray
- Molecular Parasitology Laboratory, Infectious Diseases Division, QIMR Berghofer Medical Research Institute, Brisbane, Australia.,Discipline of Epidemiology and Biostatistics, School of Population Health, University of Queensland, Brisbane, Australia.,Research School of Population Health, The Australian National University, Canberra, Australia
| | - Allen G Ross
- Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| | - Donald Harn
- University of Georgia, College of Veterinary Medicine, Athens, GA, USA
| | - Donald P McManus
- Molecular Parasitology Laboratory, Infectious Diseases Division, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
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31
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Liu C, Lu L, Zhang L, Bai Y, Medina A, Rozelle S, Smith DS, Zhou C, Zang W. More Poop, More Precision: Improving Epidemiologic Surveillance of Soil-Transmitted Helminths with Multiple Fecal Sampling using the Kato-Katz Technique. Am J Trop Med Hyg 2017; 97:870-875. [PMID: 28722571 DOI: 10.4269/ajtmh.16-0728] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Soil-transmitted helminths, or parasitic intestinal worms, are among the most prevalent and geographically widespread parasitic infections in the world. Accurate diagnosis and quantification of helminth infection are critical for informing and assessing deworming interventions. The Kato-Katz thick smear technique, the most widely used laboratory method to quantitatively assess infection prevalence and infection intensity of helminths, has often been compared with other methods. Only a few small-scale studies, however, have considered ways to improve its diagnostic sensitivity. This study, conducted among 4,985 school-age children in an area of rural China with moderate prevalence of helminth infection, examines the effect on diagnostic sensitivity of the Kato-Katz technique when two fecal samples collected over consecutive days are examined and compared with a single sample. A secondary aim was to consider cost-effectiveness by calculating an estimate of the marginal costs of obtaining an additional fecal sample. Our findings show that analysis of an additional fecal sample led to increases of 23%, 26%, and 100% for Ascaris lumbricoides, Trichuris trichiura, and hookworm prevalence, respectively. The cost of collecting a second fecal sample for our study population was approximately USD4.60 per fecal sample. Overall, the findings suggest that investing 31% more capital in fecal sample collection prevents an underestimation of prevalence by about 21%, and hence improves the diagnostic sensitivity of the Kato-Katz method. Especially in areas with light-intensity infections of soil-transmitted helminths and limited public health resources, more accurate epidemiological surveillance using multiple fecal samples will critically inform decisions regarding infection control and prevention.
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Affiliation(s)
- Chengfang Liu
- China Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Beijing, China
| | - Louise Lu
- Rural Education Action Program, Freeman Spogli Institute for International Studies, Stanford, California.,Yale University School of Medicine, New Haven, Connecticut
| | - Linxiu Zhang
- Center for Chinese Agricultural Policy, Institute of Geographical Sciences and Natural Resource Research, Chinese Academy of Sciences, Beijing, China
| | - Yu Bai
- Center for Experimental Economics in Education, Shaanxi Normal University, Xi'an, Shaanxi, China
| | - Alexis Medina
- Rural Education Action Program, Freeman Spogli Institute for International Studies, Stanford, California
| | - Scott Rozelle
- Rural Education Action Program, Freeman Spogli Institute for International Studies, Stanford, California
| | | | - Changhai Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
| | - Wei Zang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China
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32
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Abstract
Schistosomiasis in China has been substantially reduced due to an effective control programme employing various measures including bovine and human chemotherapy, and the removal of bovines from endemic areas. To fulfil elimination targets, it will be necessary to identify other possible reservoir hosts for Schistosoma japonicum and include them in future control efforts. This study determined the infection prevalence of S. japonicum in rodents (0-9·21%), dogs (0-18·37%) and goats (6·9-46·4%) from the Dongting Lake area of Hunan province, using a combination of traditional coproparasitological techniques (miracidial hatching technique and Kato-Katz thick smear technique) and molecular methods [quantitative real-time PCR (qPCR) and droplet digital PCR (ddPCR)]. We found a much higher prevalence in goats than previously recorded in this setting. Cattle and water buffalo were also examined using the same procedures and all were found to be infected, emphasising the occurrence of active transmission. qPCR and ddPCR were much more sensitive than the coproparasitological procedures with both KK and MHT considerably underestimating the true prevalence in all animals surveyed. The high level of S. japonicum prevalence in goats indicates that they are likely important reservoirs in schistosomiasis transmission, necessitating their inclusion as targets of control, if the goal of elimination is to be achieved in China.
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33
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Feng J, Xu R, Zhang X, Han Y, He C, Lu C, Hong Y, Lu K, Li H, Jin Y, Lin J, Liu J. A candidate recombinant antigen for diagnosis of schistosomiasis japonica in domestic animals. Vet Parasitol 2017; 243:242-247. [PMID: 28807301 DOI: 10.1016/j.vetpar.2017.06.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Revised: 06/01/2017] [Accepted: 06/17/2017] [Indexed: 01/24/2023]
Abstract
Domestic animals infected with Schistosoma japonicum are a major source of infection and play an important role in transmission to humans. A key strategy for the elimination of schistosomiasis is to control the sources of infection. In the present study, we identified a candidate diagnostic antigen-encoding gene, SjMRP1, the putative multidrug resistance protein 1 gene, by screening a cDNA phage display library from 44-day-old S. japonicum worms using IgGs from goat, cattle, and buffalo infected with S. japonicum. We cloned and expressed the fragment of SjMRP1 and subsequently evaluated the diagnostic potential of the recombinant protein rSjMRP1. In the enzyme-linked immunosorbent assay of rSjMRP1 (rSjMRP1-ELISA), the sensitivity in goat, cattle, and buffalo was 95.6% (86/90), 100% (22/22), and 90% (81/90), respectively, and the specificity was 100% (30/30) in goat and cattle and 96.67% (29/30) in buffalo. These results were not significantly different from soluble egg antigen (SEA)-ELISA results. Notably, rSjMRP1-ELISA has no cross reaction with Haemonchus contortus, a most common nematode seen in goat and bovine in China, in 13 infected goats, and with Orientobilhazia turkestanica, which is genetically under Schistosoma, in 36 infected goats; whereas SEA-ELISA showed false positive rate of 15.38% and 83.33% in the two respective animal groups. The results obtained here suggest that rSjMRP1 may be used for diagnosis of S. japonicum infection of domestic animals.
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Affiliation(s)
- Jintao Feng
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai 200241, PR China
| | - Rui Xu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai 200241, PR China
| | - Xin Zhang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai 200241, PR China
| | - Yu Han
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai 200241, PR China
| | - Chuanchuan He
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai 200241, PR China
| | - Chao Lu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai 200241, PR China
| | - Yang Hong
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai 200241, PR China
| | - Ke Lu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai 200241, PR China
| | - Hao Li
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai 200241, PR China
| | - Yamei Jin
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai 200241, PR China
| | - Jiaojiao Lin
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai 200241, PR China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious and Zoonosea, Yangzhou, Jiangsu Province 225009, PR China
| | - Jinming Liu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai 200241, PR China.
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Hu Y, Xia C, Li S, Ward MP, Luo C, Gao F, Wang Q, Zhang S, Zhang Z. Assessing environmental factors associated with regional schistosomiasis prevalence in Anhui Province, Peoples' Republic of China using a geographical detector method. Infect Dis Poverty 2017; 6:87. [PMID: 28416001 PMCID: PMC5392949 DOI: 10.1186/s40249-017-0299-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Accepted: 04/03/2017] [Indexed: 11/27/2022] Open
Abstract
Background Schistosomiasis is a water-borne disease caused by trematode worms belonging to genus Schistosoma, which is prevalent most of the developing world. Transmission of the disease is usually associated with multiple biological characteristics and social factors but also factors can play a role. Few studies have assessed the exact and interactive influence of each factor promoting schistosomiasis transmission. Methods We used a series of different detectors (i.e., specific detector, risk detector, ecological detector and interaction detector) to evaluate separate and interactive effects of the environmental factors on schistosomiasis prevalence. Specifically, (i) specific detector quantifies the impact of a risk factor on an observed spatial disease pattern, which were ranked statistically by a value of Power of Determinate (PD) calculation; (ii) risk detector detects high risk areas of a disease on the condition that the study area is stratified by a potential risk factor; (iii) ecological detector explores whether a risk factor is more significant than another in controlling the spatial pattern of a disease; (iv) interaction detector probes whether two risk factors when taken together weaken or enhance one another, or whether they are independent in developing a disease. Infection data of schistosomiasis based on conventional surveys were obtained at the county level from the health authorities in Anhui Province, China and used in combination with information from Chinese weather stations and internationally available environmental data. Results The specific detector identified various factors of potential importance as follows: Proximity to Yangtze River (0.322) > Land cover (0.285) > sunshine hours (0.256) > population density (0.109) > altitude (0.090) > the normalized different vegetation index (NDVI) (0.077) > land surface temperature at daytime (LSTday) (0.007). The risk detector indicated that areas of schistosomiasis high risk were located within a buffer distance of 50 km from Yangtze River. The ecological detector disclosed that the factors investigated have significantly different effects. The interaction detector revealed that interaction between the factors enhanced their main effects in most cases. Conclusion Proximity to Yangtze River had the strongest effect on schistosomiasis prevalence followed by land cover and sunshine hours, while the remaining factors had only weak influence. Interaction between factors played an even more important role in influencing schistosomiasis prevalence than each factor on its own. High risk regions influenced by strong interactions need to be targeted for disease control intervention. Electronic supplementary material The online version of this article (doi:10.1186/s40249-017-0299-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yi Hu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China.,Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China
| | - Congcong Xia
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China.,Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China
| | - Shizhu Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology, Ministry of Health; WHO Collaborating Center for Tropical diseases, Shanghai, People's Republic of China. .,, No.130 Dong'an Road, Xuhui District, Shanghai, 200032, China.
| | - Michael P Ward
- Faculty of Veterinary Science, The University of Sydney NSW, Sydney, Australia
| | - Can Luo
- Department of Environmental Art and Architecture, Changsha Environmental Protection Vocational Technical College, Changsha, Hunan, People's Republic of China
| | - Fenghua Gao
- Anhui Institute of Parasitic Diseases, Wuhu, People's Republic of China
| | - Qizhi Wang
- Anhui Institute of Parasitic Diseases, Wuhu, People's Republic of China
| | - Shiqing Zhang
- Anhui Institute of Parasitic Diseases, Wuhu, People's Republic of China
| | - Zhijie Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China. .,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China. .,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China. .,Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China. .,, No.130 Dong'an Road, Xuhui District, Shanghai, 200032, China.
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Zhang X, He CC, Liu JM, Li H, Lu K, Fu ZQ, Zhu CG, Liu YP, Tong LB, Zhou DB, Zha L, Hong Y, Jin YM, Lin JJ. Nested-PCR assay for detection of Schistosoma japonicum infection in domestic animals. Infect Dis Poverty 2017; 6:86. [PMID: 28407808 PMCID: PMC5390378 DOI: 10.1186/s40249-017-0298-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Accepted: 04/03/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Schistosomiasis japonica is a common zoonosis. Domestic animals are the primary source of infection and play an important role in disease transmission. The prevalence and infectivity of this disease in domestic animals in China have significantly decreased and, for this reason, diagnostics with a higher sensitivity have become increasingly necessary. It was reported that polymerase chain reaction (PCR)-based methods could be used to detect schistosome infection in humans and animals and presented a high sensitivity and specificity. The present study aimed to develop a PCR-based method for detection of Schistosoma japonicum infection in domestic animals. METHODS A specific nested-PCR assay was developed to detect S. japonicum infection in domestic animals via amplification of a 231-bp DNA fragment of retrotransposon SjR2. The developed assay was first used in sera and dry blood filter paper (DBFP) from goats and buffaloes at different time points of infection. Then, 78 DBFPs from 39 artificially-infected bovines at 14 and 28 days post-infection and 42 DBFPs from schistosome-negative bovines from the city of Huangshan in the Anhui province were used to evaluate the diagnostic validity. Furthermore, this assay was used to detect S. japonicum infection in domestic animals in Dongzhi and Wangjiang counties. RESULTS The expected PCR product was detected in eggs and adult worms of S. japonicum and blood samples from S. japonicum-infected goats and water buffaloes, but not from Fasciola and Haemonchus contortus worms. The nested-PCR assay could detect the target S. japonicum DNA in DBFPs from goats and buffaloes after day 3 post-infection. The sensitivity in buffaloes at 14 and 28 days post-infection was 92.30% (36/39) and 100% (39/39), respectively. The specificity was 97.60% (41/42). The positivity rates in Dongzhi and Wangjiang counties were 6.00% and 8.00% in bovines and 22.00% and 16.67% in goats, respectively. The positivity rates in goats in both counties were higher than those in bovines with a significant difference in Dongzhi County but not in Wangjiang County (P < 0.05 and P = 0.23, respectively). CONCLUSIONS Our results suggest that the developed nested-PCR assay may be used for the diagnosis of S. japonicum infection in domestic animals, and the control of S. japonicum infection in goats should be paid more attention.
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Affiliation(s)
- Xin Zhang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai, 200241, People's Republic of China
| | - Chuan-Chuan He
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai, 200241, People's Republic of China
| | - Jin-Ming Liu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai, 200241, People's Republic of China.
| | - Hao Li
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai, 200241, People's Republic of China
| | - Ke Lu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai, 200241, People's Republic of China
| | - Zhi-Qiang Fu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai, 200241, People's Republic of China
| | - Chuan-Gang Zhu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai, 200241, People's Republic of China
| | - Yi-Ping Liu
- Anhui Center for Animal Disease Control and Prevention, Hefei, People's Republic of China
| | - Lai-Bao Tong
- Wangjiang county Center for Animal Husbandry and Veterinary Bureau, Anqing, People's Republic of China
| | - De-Bao Zhou
- Dongzhi county Center for Animal Husbandry and Veterinary Bureau, Chizhou, People's Republic of China
| | - Li Zha
- Huangshan Center for Animal Disease Control and Prevention, Huangshan, 341000, People's Republic of China
| | - Yang Hong
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai, 200241, People's Republic of China
| | - Ya-Mei Jin
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai, 200241, People's Republic of China
| | - Jiao-Jiao Lin
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Shanghai, 200241, People's Republic of China.,Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious and Zoonosea, Yangzhou, Jiangsu province, 225009, People's Republic of China
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Xu R, Feng J, Hong Y, Lv C, Zhao D, Lin J, Lu K, Li H, Liu J, Cao X, Wang T, Zai J, Wang Z, Jia B, Han Q, Zhu C. A novel colloidal gold immunochromatography assay strip for the diagnosis of schistosomiasis japonica in domestic animals. Infect Dis Poverty 2017; 6:84. [PMID: 28388965 PMCID: PMC5384140 DOI: 10.1186/s40249-017-0297-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 04/03/2017] [Indexed: 11/13/2022] Open
Abstract
Background Schistosomiasis remains a major public health concern in China and an epidemiological survey has revealed that schistosome-infected bovines and goats are the main transmission sources for the disease. Therefore, development of a sensitive technique for the diagnosis of schistosomiasis in domestic animals is necessary. Method A novel colloidal gold immunochromatography assay (GICA) strip was developed for detecting Schistosoma japonicum in domestic animals. The colloidal gold was conjugated with recombinant streptococcal protein G (rSPG). As the test and control lines, the schistosome soluble egg antigen and rSPG, respectively, were blotted on nitrocellulose membrane. Results The lowest detectable serum dilution was 1∶640 for schistosome-infected buffaloes. The cross-reaction rate of GICA was 14.29% with Paramphistomum sp. in buffaloes, 16.67% with Haemonchus sp. in goats, and 33.33% with Orientobilharzia sp. in goats. These results were slightly lower and similar to those obtained through ELISA. Moreover, the strips for detecting S. japonicum in mice, rabbits, buffaloes, and goats showed high sensitivity (100.00%, 100.00%, 100.00%, and 100.00%, respectively) and specificity (100.00%, 100.00%, 94.23%, and 88.64%, respectively). And the sensitivity or specificity of the GICA strips did not present any significant differences after storage for 12 months at room temperature. When compared with ELISA, the GICA strips exhibited similar sensitivity and specificity in the diagnosis of schistosomiasis in mice, rabbits, buffaloes, and goats. Besides, only 5 μl of serum are required for the test and the detection can be completed within 5 min. Conclusion This study is the first to develop a GICA strip using gold–rSPG conjugate for the diagnosing of schistosomiasis in domestic animals, and preliminary results showed that the developed strip may be suitable for large-scale screening of schistosomiasis in endemic areas. Electronic supplementary material The online version of this article (doi:10.1186/s40249-017-0297-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Rui Xu
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Jintao Feng
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Yang Hong
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Chao Lv
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Dengyun Zhao
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Jiaojiao Lin
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China.,Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, 225000, China
| | - Ke Lu
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Hao Li
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Jinming Liu
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Xiaodan Cao
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Tao Wang
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Jinli Zai
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Zhaozhe Wang
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Bingguang Jia
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Qian Han
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China
| | - Chuangang Zhu
- Key Laboratory of Animal Parasitology, Ministry of Agriculture of China, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No.518, Ziyue Road, Minhang District, Shanghai, 200241, China.
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Gu K, Li Y, Driguez P, Zeng Q, Yu X, Sun H, Cai L, He Y, Wang W, McManus DP. Clinical diagnostic value of viable Schistosoma japonicum eggs detected in host tissues. BMC Infect Dis 2017; 17:244. [PMID: 28376858 PMCID: PMC5379624 DOI: 10.1186/s12879-017-2362-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 03/29/2017] [Indexed: 12/14/2022] Open
Abstract
Background Schistosomiasis, one of the neglected tropical diseases, is endemic in more than 70 countries. However, the clinical diagnosis of patients with a low degree of infection is an unsolved technical problem. In areas endemic for schistosomiasis japonica, proctoscopy detection of eggs has been one method used for clinical diagnosis. However, it is often a challenge to find typical live eggs and it is difficult to distinguish live eggs from large numbers of partially degraded and/or completely degraded eggs within colon biopsy tissue. To address this problem, we tested six different morphological and biochemical/molecular markers (ALP; morphological characteristics of egg; CalS (calcified substance); AOS (antioxidase); SDHG (succinic dehydrogenase) and SjR2 mRNA (retrotransposons 2 of S.japonicum genome mRNA)), including four new markers (CalS; AOS; SDHG and SjR2 mRNA.), to determine the viability of S. japonicum eggs deposited in human and mouse colon tissues. Our ultimate aim is to obtain a new method that is more sensitive, practical and accurate to clinically diagnose schistosomiasis. Methods Tissue samples were collected from mice at six different time points during S. japonicum infection with or without treatment with praziquantel (PZQ). Four new biochemical or molecular markers were used for the detection of egg viability from mouse liver and intestinal samples: CalS; AOS; SDHG and SjR2 mRNA. Subsequently, all markers were employed for the detection and analysis of eggs deposited in biopsy materials from patients with suspected schistosomiasis japonica for clinical evaluation. Microscopic examination of the egg morphology, worm burden in vivo and ALP (alkaline phosphatase) levels were used as a reference standard to evaluate the sensitivity and reliability of four new markers detecting egg viability. Results The results of the study showed that the morphology of S. japonicum eggs deposited in tissues of hosts with schistosomiasis, especially cases with chronic schistosomiasis, is complex and egg viability is difficult to judge morphologically, particularly eggs with a fuzzy structure or partially modified eggs. We found that the majority of the viable schistosome eggs determined by four new markers (CalS, AOS, SDHG and SjR2 mRNA) were morphologically difficult to identify. Conclusions Among the markers, the most sensitive and specific method was the detection of SjR2 mRNA and the most simple, rapid and practical method was the detection of SDHG. Therefore, the detection of SDHG is the most practical for clinical application and its use could improve the accuracy in diagnosing active schistosome infection. Electronic supplementary material The online version of this article (doi:10.1186/s12879-017-2362-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kongzhen Gu
- Department of Parasitology, Xiangya School of Medicine, Central South University (CSU), 410013, Tongzipo Road 172#, Changsha, Hunan, People's Republic of China
| | - Yuesheng Li
- Molecular Parasitology Laboratory, Queensland Institution of Medical Research, Brisbane, QLD, Australia.,Xiangyue Hospital, Schistosomiasis Control and Prevention Institution of Hunan Province, Yueyang, People's Republic of China
| | - Patrick Driguez
- Molecular Parasitology Laboratory, Queensland Institution of Medical Research, Brisbane, QLD, Australia
| | - Qingren Zeng
- Department of Parasitology, Xiangya School of Medicine, Central South University (CSU), 410013, Tongzipo Road 172#, Changsha, Hunan, People's Republic of China.
| | - Xinlin Yu
- Xiangyue Hospital, Schistosomiasis Control and Prevention Institution of Hunan Province, Yueyang, People's Republic of China
| | - Hui Sun
- Department of Parasitology, Xiangya School of Medicine, Central South University (CSU), 410013, Tongzipo Road 172#, Changsha, Hunan, People's Republic of China
| | - Liting Cai
- Department of Parasitology, Xiangya School of Medicine, Central South University (CSU), 410013, Tongzipo Road 172#, Changsha, Hunan, People's Republic of China
| | - Yongkang He
- Xiangyue Hospital, Schistosomiasis Control and Prevention Institution of Hunan Province, Yueyang, People's Republic of China
| | - Wenyang Wang
- Department of Parasitology, Xiangya School of Medicine, Central South University (CSU), 410013, Tongzipo Road 172#, Changsha, Hunan, People's Republic of China
| | - Donald P McManus
- Molecular Parasitology Laboratory, Queensland Institution of Medical Research, Brisbane, QLD, Australia
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Schistosomiasis haematobium prevalence among haematuric patients: Parasitological and immuno-assay. BENI-SUEF UNIVERSITY JOURNAL OF BASIC AND APPLIED SCIENCES 2017. [DOI: 10.1016/j.bjbas.2017.01.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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39
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Xing W, Yu X, Feng J, Sun K, Fu W, Wang Y, Zou M, Xia W, Luo Z, He H, Li Y, Xu D. Field evaluation of a recombinase polymerase amplification assay for the diagnosis of Schistosoma japonicum infection in Hunan province of China. BMC Infect Dis 2017; 17:164. [PMID: 28222680 PMCID: PMC5320755 DOI: 10.1186/s12879-017-2182-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Accepted: 01/04/2017] [Indexed: 11/29/2022] Open
Abstract
Background Current diagnostic methods for Schistosoma japonicum infection are insensitive for low-density infections. Therefore, a new diagnostic assay based on recombinase polymerase amplification (RPA) technology was established and assessed for field applification. Methods The S.japonicum RPA assay was developed to target highly repetitive retrotransposon SjR2 gene of S japonicum, and its sensitivity and specificity were assessed by serial dilution of S. japonicum genomic DNA and other related worm genomic DNA respectively. The RPA diagnostic validity was first evaluated in 60 fecal samples from healthy people and patients, and then compared with other diagnostic tests in 200 high-risk individuals living in endemic areas. Results The real time RPA assay could detect 0.9 fg S. japonicum DNA within 15 min and distinguish S. japonicum from other worms. The validity analysis of RPA for the detection of S. japonicum in stool samples from 30 S. japonicum-infected patients and 30 healthy persons indicated 100% sensitivity and specificity. When testing 200 fecal or serum samples from a high-risk population, the percentage sensitivity of RPA was 100%, whereas that of indirect hemagglutination assay (IHA) and enzyme-linked immunosorbent assay (ELISA) were 80.3% and 85.2% respectively. In addition, the RPA presented better consistency with the stool-based tests than IHA and ELISA. Overall, the RPA was superior to other detection methods with respect to detection time, sensitivity, and convenience. Conclusions This is the first time we applied the RPA technology to the field evaluation of S. japonicum infection. And the results suggest that RPA-based assays can be used as a promising point-of-care test for the diagnosis of schistosomiasis.
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Affiliation(s)
- Weiwei Xing
- The Laboratory of genomic engineering, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Xinling Yu
- The key laboratory of Immune and Control of Schistosomiasis, Hunan Institute of Parasitic Diseases, Hunan, China
| | - Jingtao Feng
- The key laboratory of Immune and Control of Schistosomiasis, Hunan Institute of Parasitic Diseases, Hunan, China
| | - Kui Sun
- The Laboratory of genomic engineering, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Wenliang Fu
- The Laboratory of genomic engineering, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Yuanyuan Wang
- The Laboratory of genomic engineering, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Minji Zou
- The Laboratory of genomic engineering, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Wenrong Xia
- The Laboratory of genomic engineering, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Zhihong Luo
- The key laboratory of Immune and Control of Schistosomiasis, Hunan Institute of Parasitic Diseases, Hunan, China
| | - Hongbin He
- The key laboratory of Immune and Control of Schistosomiasis, Hunan Institute of Parasitic Diseases, Hunan, China
| | - Yuesheng Li
- Queensland Institute of Medical Research, Brisbane, Australia
| | - Donggang Xu
- The Laboratory of genomic engineering, Beijing Institute of Basic Medical Sciences, Beijing, China.
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Hu Y, Li S, Xia C, Chen Y, Lynn H, Zhang T, Xiong C, Chen G, He Z, Zhang Z. Assessment of the national schistosomiasis control program in a typical region along the Yangtze River, China. Int J Parasitol 2016; 47:21-29. [PMID: 27866904 DOI: 10.1016/j.ijpara.2016.09.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 09/13/2016] [Accepted: 09/22/2016] [Indexed: 11/19/2022]
Abstract
Schistosomiasis remains a major public health problem in eastern China, particularly along the Yangtze River Basin. The latest national schistosomiasis control program (NSCP) was implemented in 2005 with the main goal of reducing the rate of infection to less than 5% by 2008 and 1% by 2015. To assess the progress, we applied a Bayesian spatio-temporal model to describe dynamics of schistosomiasis in Guichi, Anhui Province, China, using annual parasitological and environmental data collected within 41 sample villages for the period 2005-2011. Predictive maps of schistosomiasis showed that the disease prevalence remains constant and low. Results of uncertainty analysis, in the form of probability contour maps (PCMs), indicated that the first goal of "infection rate less than 5% by 2008" was fully achieved in the study area. More longitudinal data for schistosomiasis are needed for the assessment of the second goal of "infection rate less than 1% by 2015". Compared with the traditional way of mapping uncertainty (e.g., variance or mean-square error), our PCMs provide more realistic information for schistosomiasis control.
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Affiliation(s)
- Yi Hu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China; Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China; Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China
| | - Si Li
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China; Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China; Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China
| | - Congcong Xia
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China; Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China; Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China
| | - Yue Chen
- School of Epidemiology, Pubic Health and Preventive Medicine, Faculty of Medicine, University of Ottawa, 451 Smyth Rd, Ottawa, Ontario, Canada
| | - Henry Lynn
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China; Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China; Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China
| | - Tiejun Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China; Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China
| | - Chenglong Xiong
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China; Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China
| | - Gengxin Chen
- Schistosomiasis Station of Prevention and Control in Guichi Distirct, Anhui Province, China
| | - Zonggui He
- Schistosomiasis Station of Prevention and Control in Guichi Distirct, Anhui Province, China
| | - Zhijie Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China; Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China; Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai, China.
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Sun K, Xing W, Yu X, Fu W, Wang Y, Zou M, Luo Z, Xu D. Recombinase polymerase amplification combined with a lateral flow dipstick for rapid and visual detection of Schistosoma japonicum. Parasit Vectors 2016; 9:476. [PMID: 27577576 PMCID: PMC5006264 DOI: 10.1186/s13071-016-1745-5] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 08/10/2016] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND With the continuous decline in prevalence and intensity of Schistosoma japonicum infection in China, more accurate and sensitive methods suitable for field detection become much needed for schistosomiasis control. Here, a novel rapid and visual detection method based on the combination of recombinase polymerase amplification (RPA) and lateral flow dipstick (LFD) was developed to detect S. japonicum DNA in fecal samples. RESULTS The LFD-RPA assay targeting SjR2 could detect 5 fg S. japonicum DNA, which was identical to qPCR and real-time RPA assay, and showed no cross-reaction with other parasites. The detection could be finished within 15-20 min at a wide temperature range (25-45 °C), and the results could be visualized by naked eye. The diagnostic validity of LFD-RPA assay was further assessed with 14 fecal samples of infected patients diagnosed by Kato-Katz method and 31 fecal samples of healthy persons, and compared with that of Enzyme-linked immunosorbent assay (ELSIA) and Indirect Hemagglutination Assay (IHA). The LFD-RPA assay showed 92.68 % sensitivity, 100 % specificity and excellent diagnostic agreement with the gold standard Kato-Katz test (k = 0.947, Z = 6.36, P < 0.001), whereas ELISA showed 85.71 % sensitivity, 93.55 % specificity, and substantial diagnostic agreement (k = 0.793, Z = 5.31, P < 0.001), and IHA showed 78.57 % sensitivity, 83.87 % specificity, and moderate diagnostic agreement (k = 0.600, Z = 4.05, P < 0.001), indicating that the LFD-RPA was much better than the traditional methods. CONCLUSIONS The LFD-RPA assay established by us is a sensitive, specific, rapid and convenient method for the diagnosis of schistosomiasis, and shows a great potency in field application.
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Affiliation(s)
- Kui Sun
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China
| | - Weiwei Xing
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China
| | - Xinling Yu
- The key laboratory of Immune and Control of Schistosomiasis, Hunan Institute of Parasitic Diseases, Hunan, People's Republic of China
| | - Wenliang Fu
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China
| | - Yuanyuan Wang
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China
| | - Minji Zou
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China
| | - Zhihong Luo
- The key laboratory of Immune and Control of Schistosomiasis, Hunan Institute of Parasitic Diseases, Hunan, People's Republic of China
| | - Donggang Xu
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China.
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Multi-host model and threshold of intermediate host Oncomelania snail density for eliminating schistosomiasis transmission in China. Sci Rep 2016; 6:31089. [PMID: 27535177 PMCID: PMC4989165 DOI: 10.1038/srep31089] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 07/13/2016] [Indexed: 11/24/2022] Open
Abstract
Schistosomiasis remains a serious public health issue in many tropical countries, with more than 700 million people at risk of infection. In China, a national integrated control strategy, aiming at blocking its transmission, has been carried out throughout endemic areas since 2005. A longitudinal study was conducted to determine the effects of different intervention measures on the transmission dynamics of S. japonicum in three study areas and the data were analyzed using a multi-host model. The multi-host model was also used to estimate the threshold of Oncomelania snail density for interrupting schistosomiasis transmission based on the longitudinal data as well as data from the national surveillance system for schistosomiasis. The data showed a continuous decline in the risk of human infection and the multi-host model fit the data well. The 25th, 50th and 75th percentiles, and the mean of estimated thresholds of Oncomelania snail density below which the schistosomiasis transmission cannot be sustained were 0.006, 0.009, 0.028 and 0.020 snails/0.11 m2, respectively. The study results could help develop specific strategies of schistosomiasis control and elimination tailored to the local situation for each endemic area.
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Linder E, Varjo S, Thors C. Mobile Diagnostics Based on Motion? A Close Look at Motility Patterns in the Schistosome Life Cycle. Diagnostics (Basel) 2016; 6:E24. [PMID: 27322330 PMCID: PMC4931419 DOI: 10.3390/diagnostics6020024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Revised: 04/08/2016] [Accepted: 05/23/2016] [Indexed: 12/28/2022] Open
Abstract
Imaging at high resolution and subsequent image analysis with modified mobile phones have the potential to solve problems related to microscopy-based diagnostics of parasitic infections in many endemic regions. Diagnostics using the computing power of "smartphones" is not restricted by limited expertise or limitations set by visual perception of a microscopist. Thus diagnostics currently almost exclusively dependent on recognition of morphological features of pathogenic organisms could be based on additional properties, such as motility characteristics recognizable by computer vision. Of special interest are infectious larval stages and "micro swimmers" of e.g., the schistosome life cycle, which infect the intermediate and definitive hosts, respectively. The ciliated miracidium, emerges from the excreted egg upon its contact with water. This means that for diagnostics, recognition of a swimming miracidium is equivalent to recognition of an egg. The motility pattern of miracidia could be defined by computer vision and used as a diagnostic criterion. To develop motility pattern-based diagnostics of schistosomiasis using simple imaging devices, we analyzed Paramecium as a model for the schistosome miracidium. As a model for invasive nematodes, such as strongyloids and filaria, we examined a different type of motility in the apathogenic nematode Turbatrix, the "vinegar eel." The results of motion time and frequency analysis suggest that target motility may be expressed as specific spectrograms serving as "diagnostic fingerprints."
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Affiliation(s)
- Ewert Linder
- Department of Microbiology, Tumor and Cell Biuology, Karolinska Institutet, SE-17177 Stockholm, Sweden.
| | - Sami Varjo
- Center for Machine Vision and Signal Analysis, University of Oulu, FI-90014 Oulu, Finland.
| | - Cecilia Thors
- Public Health Agency of Sweden, SE-17182 Solna, Sweden.
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Xu J, Steinman P, Maybe D, Zhou XN, Lv S, Li SZ, Peeling R. Evolution of the National Schistosomiasis Control Programmes in The People's Republic of China. ADVANCES IN PARASITOLOGY 2016; 92:1-38. [PMID: 27137441 DOI: 10.1016/bs.apar.2016.02.001] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Schistosomiasis japonica is caused by the parasitic trematode Schistosoma japonicum. It is endemic in The People's Republic of China and has significant impact on human health and socioeconomic development in certain regions. Over the last six decades, the national control programmes evolved in remarkable ways and brought schistosomiasis japonica largely under control. We describe the history and evolution of schistosomiasis control in The People's Republic of China, with an emphasis on shifts in control strategies that evolved with new insights into the biology of the parasite and its intermediate hosts, and the epidemiology of the disease in the country. We also highlight the achievements in controlling the disease in different socioecological settings, and identify persisting challenges to fully eliminate schistosomiasis japonica from the country. To reach the goal of schistosomiasis elimination, further integration of interventions, multisector collaboration, sensitive and effective surveillance are needed to strengthen.
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Affiliation(s)
- J Xu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, The People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, The People's Republic of China; WHO Collaborating Center for Tropical Diseases, Shanghai, The People's Republic of China
| | - P Steinman
- Swiss Tropical and Public Health Institute, Basel, Switzerland; Basel Universities, Basel, Switzerland
| | - D Maybe
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - X-N Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, The People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, The People's Republic of China; WHO Collaborating Center for Tropical Diseases, Shanghai, The People's Republic of China
| | - S Lv
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, The People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, The People's Republic of China; WHO Collaborating Center for Tropical Diseases, Shanghai, The People's Republic of China
| | - S-Z Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, The People's Republic of China; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, The People's Republic of China; WHO Collaborating Center for Tropical Diseases, Shanghai, The People's Republic of China
| | - R Peeling
- London School of Hygiene and Tropical Medicine, London, United Kingdom
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Hu Y, Ward MP, Xia C, Li R, Sun L, Lynn H, Gao F, Wang Q, Zhang S, Xiong C, Zhang Z, Jiang Q. Monitoring schistosomiasis risk in East China over space and time using a Bayesian hierarchical modeling approach. Sci Rep 2016; 6:24173. [PMID: 27053447 PMCID: PMC4823756 DOI: 10.1038/srep24173] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Accepted: 03/21/2016] [Indexed: 12/03/2022] Open
Abstract
Schistosomiasis remains a major public health problem and causes substantial economic impact in east China, particularly along the Yangtze River Basin. Disease forecasting and surveillance can assist in the development and implementation of more effective intervention measures to control disease. In this study, we applied a Bayesian hierarchical spatio-temporal model to describe trends in schistosomiasis risk in Anhui Province, China, using annual parasitological and environmental data for the period 1997–2010. A computationally efficient approach–Integrated Nested Laplace Approximation–was used for model inference. A zero-inflated, negative binomial model best described the spatio-temporal dynamics of schistosomiasis risk. It predicted that the disease risk would generally be low and stable except for some specific, local areas during the period 2011–2014. High-risk counties were identified in the forecasting maps: three in which the risk remained high, and two in which risk would become high. The results indicated that schistosomiasis risk has been reduced to consistently low levels throughout much of this region of China; however, some counties were identified in which progress in schistosomiasis control was less than satisfactory. Whilst maintaining overall control, specific interventions in the future should focus on these refractive counties as part of a strategy to eliminate schistosomiasis from this region.
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Affiliation(s)
- Yi Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China.,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China.,Collaborative Innovation Center of Social Risks Governance in Health,School of Public Health, Fudan University, Shanghai 200032, China
| | - Michael P Ward
- University of Sydney Faculty of Veterinary Science, NSW 2570, Australia
| | - Congcong Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China.,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China
| | - Rui Li
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China.,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China
| | - Liqian Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China.,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China
| | - Henry Lynn
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China.,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China.,Collaborative Innovation Center of Social Risks Governance in Health,School of Public Health, Fudan University, Shanghai 200032, China
| | - Fenghua Gao
- Anhui Institute of Parasitic Diseases, Wuhu, People's Republic of China 230061, China
| | - Qizhi Wang
- Anhui Institute of Parasitic Diseases, Wuhu, People's Republic of China 230061, China
| | - Shiqing Zhang
- Anhui Institute of Parasitic Diseases, Wuhu, People's Republic of China 230061, China
| | - Chenglong Xiong
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China.,Collaborative Innovation Center of Social Risks Governance in Health,School of Public Health, Fudan University, Shanghai 200032, China
| | - Zhijie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China.,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China.,Collaborative Innovation Center of Social Risks Governance in Health,School of Public Health, Fudan University, Shanghai 200032, China
| | - Qingwu Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.,Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China.,Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai 200032, China.,Collaborative Innovation Center of Social Risks Governance in Health,School of Public Health, Fudan University, Shanghai 200032, China
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Weerakoon KG, Gordon CA, Gobert GN, Cai P, McManus DP. Optimisation of a droplet digital PCR assay for the diagnosis of Schistosoma japonicum infection: A duplex approach with DNA binding dye chemistry. J Microbiol Methods 2016; 125:19-27. [PMID: 27021661 DOI: 10.1016/j.mimet.2016.03.012] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Revised: 03/03/2016] [Accepted: 03/21/2016] [Indexed: 11/19/2022]
Abstract
Schistosomiasis is a chronically debilitating helminth infection with a significant socio-economic and public health impact. Accurate diagnostics play a pivotal role in achieving current schistosomiasis control and elimination goals. However, many of the current diagnostic procedures, which rely on detection of schistosome eggs, have major limitations including lack of accuracy and the inability to detect pre-patent infections. DNA-based detection methods provide a viable alternative to the current tests commonly used for schistosomiasis diagnosis. Here we describe the optimisation of a novel droplet digital PCR (ddPCR) duplex assay for the diagnosis of Schistosoma japonicum infection which provides improved detection sensitivity and specificity. The assay involves the amplification of two specific and abundant target gene sequences in S. japonicum; a retrotransposon (SjR2) and a portion of a mitochondrial gene (nad1). The assay detected target sequences in different sources of schistosome DNA isolated from adult worms, schistosomules and eggs, and exhibits a high level of specificity, thereby representing an ideal tool for the detection of low levels of parasite DNA in different clinical samples including parasite cell free DNA in the host circulation and other bodily fluids. Moreover, being quantitative, the assay can be used to determine parasite infection intensity and, could provide an important tool for the detection of low intensity infections in low prevalence schistosomiasis-endemic areas.
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Affiliation(s)
- Kosala G Weerakoon
- Molecular Parasitology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia; School of Public Health, University of Queensland, Brisbane, Australia; Department of Parasitology, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Saliyapura, Sri Lanka.
| | - Catherine A Gordon
- Molecular Parasitology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Geoffrey N Gobert
- Molecular Parasitology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Pengfei Cai
- Molecular Parasitology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Donald P McManus
- Molecular Parasitology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Australia
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Schistosoma mekongi cathepsin B and its use in the development of an immunodiagnosis. Acta Trop 2016; 155:11-9. [PMID: 26655041 DOI: 10.1016/j.actatropica.2015.11.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Revised: 11/17/2015] [Accepted: 11/27/2015] [Indexed: 11/24/2022]
Abstract
Schistosomiasis mekongi is one of the most important human parasitic diseases caused by Schistosoma mekongi in South-east Asia. The endemic area is the Mekong River sub-region from Laos to Cambodia. This parasite also infects dogs and pigs which are its alternative host species. Currently, the lack of reliable rapid diagnosis makes it difficult to monitor the infection and spreading of the disease. In this study, we screened the antigens of the parasite with sera of infected mice using Western blotting and identified proteins of interest with LC-MS/MS to obtain potential candidate proteins for diagnostic development. This assay yielded 2 immunoreactive bands at molecular masses of 31 and 22kDa. The 31kDa protein was the major band identified as cathepsin B, and its gene was cloned to obtain a full cDNA sequence (SmekCatB). The cDNA consisted of 1123bp and its longest reading frame encoded for 342 amino acids with some putative post translation modifications. The recombinant SmekCatB (rSmekCatB) with hexahistidine tag at the C-terminus was expressed in Escherichia coli and purified by Ni-NTA resin under denaturing conditions. The rSmekCatB reacted with sera of S. mekongi-infected mice. Indirect ELISA using rSmekCatB as the antigen to detect mouse antibodies, revealed a sensitivity of 91.67% for schistosomiasis mekongi and the specificity of 100%. Our data suggested that SmekCatB is one of the most promising parasitic antigens that could be used for the diagnosis of S. mekongi infection.
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48
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Gordon CA, McManus DP, Jones MK, Gray DJ, Gobert GN. The Increase of Exotic Zoonotic Helminth Infections: The Impact of Urbanization, Climate Change and Globalization. ADVANCES IN PARASITOLOGY 2016; 91:311-97. [PMID: 27015952 DOI: 10.1016/bs.apar.2015.12.002] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Zoonotic parasitic diseases are increasingly impacting human populations due to the effects of globalization, urbanization and climate change. Here we review the recent literature on the most important helminth zoonoses, including reports of incidence and prevalence. We discuss those helminth diseases which are increasing in endemic areas and consider their geographical spread into new regions within the framework of globalization, urbanization and climate change to determine the effect these variables are having on disease incidence, transmission and the associated challenges presented for public health initiatives, including control and elimination.
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Affiliation(s)
- Catherine A Gordon
- Molecular Parasitology Laboratory, Infectious Diseases Division, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Donald P McManus
- Molecular Parasitology Laboratory, Infectious Diseases Division, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Malcolm K Jones
- Molecular Parasitology Laboratory, Infectious Diseases Division, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia; School of Veterinary Science, University of Queensland, Brisbane, QLD, Australia
| | - Darren J Gray
- Research School of Population Health, The Australian National University, Canberra, ACT, Australia
| | - Geoffrey N Gobert
- Molecular Parasitology Laboratory, Infectious Diseases Division, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
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49
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Molecular Diagnostics: Huge Impact on the Improvement of Public Health in China. Mol Microbiol 2016. [DOI: 10.1128/9781555819071.ch21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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50
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Abstract
Schistosomiasis is a major neglected tropical disease that afflicts more than 240 million people, including many children and young adults, in the tropics and subtropics. The disease is characterized by chronic infections with significant residual morbidity and is of considerable public health importance, with substantial socioeconomic impacts on impoverished communities. Morbidity reduction and eventual elimination through integrated intervention measures are the focuses of current schistosomiasis control programs. Precise diagnosis of schistosome infections, in both mammalian and snail intermediate hosts, will play a pivotal role in achieving these goals. Nevertheless, despite extensive efforts over several decades, the search for sensitive and specific diagnostics for schistosomiasis is ongoing. Here we review the area, paying attention to earlier approaches but emphasizing recent developments in the search for new diagnostics for schistosomiasis with practical applications in the research laboratory, the clinic, and the field. Careful and rigorous validation of these assays and their cost-effectiveness will be needed, however, prior to their adoption in support of policy decisions for national public health programs aimed at the control and elimination of schistosomiasis.
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