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Jiang Y, Yuan Z, Wang Y, Zhang J, Shen Y, Cao J. Wastewater-based intestinal protozoa monitoring in Shanghai, China. Microbiol Spectr 2024:e0403223. [PMID: 39315819 DOI: 10.1128/spectrum.04032-23] [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: 11/25/2023] [Accepted: 07/19/2024] [Indexed: 09/25/2024] Open
Abstract
Intestinal protozoa Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi have been implicated in serious waterborne outbreaks worldwide. Wastewater-based epidemiology (WBE) is a promising approach for evaluating the disease prevalence in a catchment population in that it monitors the contamination level of the intestinal pathogens in wastewater. We collected 48 urban wastewater samples (24 from influents and 24 from effluents) from the Yangpu Wastewater Treatment Plant (YPWTP) in Shanghai, China. We identified Cryptosporidium spp., G. duodenalis, and E. bieneusi by nested polymerase chain reaction (PCR) amplification. Cryptosporidium hominis and subtype IdA14 were identified in two samples by analyzing the sequences of small subunit ribosomal RNA (SSU rRNA) and 60-kDa glycoprotein (gp60) genes, respectively. The G. duodenalis sub-assemblage AII (n = 8) and assemblage C (n = 4) in 12 samples were determined by analyzing triosephosphate isomerase (tpi) gene sequences. The E. bieneusi genotype A was identified in one sample by analyzing the sequence of the internal transcribed spacer (ITS) region of the rRNA gene. These findings suggest that improving wastewater treatment and monitoring the virility of pathogens in effluents is critical. We observed similar prevalence and genotypes/subtypes of the three intestinal protozoa in our wastewater samples as those reported in previous studies, providing evidence that WBE can be used as an effective epidemic management tool.IMPORTANCECryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi are common intestinal protozoa causing diarrhea. The infective oocysts, cysts, and spores released in feces can survive in different environments, including multiple types of water bodies. Humans can acquire these intestinal protozoan infections via the fecal-oral route as in waterborne transmission. Wastewater-based epidemiology can rapidly and reliably detect and monitor the emergence and spread of waterborne diseases. We detected Cryptosporidium spp., G. duodenalis, and E. bieneusi in a wastewater treatment plant in Shanghai, China, reflecting the occurrence and genetic characterizations of the three intestinal pathogens from community members served by the wastewater treatment plant.
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Affiliation(s)
- Yanyan Jiang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, China
| | - Zhongying Yuan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, China
| | - Yaxue Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, China
| | - Jing Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, China
| | - Yujuan Shen
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, China
| | - Jianping Cao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, Shanghai, China
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Omar M, Etewa SE, Mahmoud SAM, Farag TI. Assessment of the potential occurrence of Cryptosporidium species in various water sources in Sharqia Governorate, Egypt. J Parasit Dis 2024; 48:358-369. [PMID: 38840871 PMCID: PMC11147971 DOI: 10.1007/s12639-024-01675-1] [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: 11/03/2023] [Accepted: 04/16/2024] [Indexed: 06/07/2024] Open
Abstract
Cryptosporidium species are enteric apicomplexan parasites associated with diarrhoeal disease in humans and animals globally. Waterborne outbreaks resulting from contamination with the infective oocysts are common worldwide. Updated reports on waterborne protozoal infections are needed to identify emerging pathogens and susceptible populations. Therefore, this study aimed to assess the current profile of Cryptosporidium contamination of various water sources in Sharqia Governorate, Northeastern Egypt. For this purpose, eighty samples were collected from five different water types (canal, tap, tank, filtered, and groundwater), distributed in four major cities (El-Hessenia, Fakous, Zagazig, and Belbies) in Sharqia Governorate. All water samples were examined using conventional microscopy, ELISA, and real-time PCR (RT-PCR) techniques. Based on microscopic analysis, the Cryptosporidium protozoan was identified in 25% of the tested water samples. The RT-PCR assay has allowed for the quantification of Cryptosporidium oocysts in different types of water. Canal water exhibited the highest Cryptosporidium contamination levels (mean = 85.15 oocysts/L), followed by water tanks (mean = 12.031 oocysts/L). The study also provided a comparative evaluation of ELISA and RT-PCR for the diagnosis of Cryptosporidium infection. RT-PCR performed better than ELISA in terms of analytical accuracy (97.50% vs. 86.25%) and specificity (100% vs. 83.33%). However, ELISA showed a higher sensitivity (95.00% vs. 90.00%) for Cryptosporidium recovery. Our findings could serve as a platform for further investigations into the potential risks associated with water contamination in Sharqia Governorate. Supplementary Information The online version contains supplementary material available at 10.1007/s12639-024-01675-1.
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Affiliation(s)
- Marwa Omar
- Department of Medical Parasitology, Faculty of Medicine, Zagazig University, Gameyet Almohafza St. 1, Menya Al-Kamh, Zagazig, 44511 Sharqia Governorate Egypt
| | - Samia E. Etewa
- Department of Medical Parasitology, Faculty of Medicine, Zagazig University, Gameyet Almohafza St. 1, Menya Al-Kamh, Zagazig, 44511 Sharqia Governorate Egypt
| | - Samar A. M. Mahmoud
- Department of Medical Parasitology, Faculty of Medicine, Zagazig University, Gameyet Almohafza St. 1, Menya Al-Kamh, Zagazig, 44511 Sharqia Governorate Egypt
| | - Tahani I. Farag
- Department of Medical Parasitology, Faculty of Medicine, Zagazig University, Gameyet Almohafza St. 1, Menya Al-Kamh, Zagazig, 44511 Sharqia Governorate Egypt
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3
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Gentry Z, Zhao L, Faust RA, David RE, Norton J, Xagoraraki I. Wastewater surveillance beyond COVID-19: a ranking system for communicable disease testing in the tri-county Detroit area, Michigan, USA. Front Public Health 2023; 11:1178515. [PMID: 37333521 PMCID: PMC10272568 DOI: 10.3389/fpubh.2023.1178515] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/12/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction Throughout the coronavirus disease 2019 (COVID-19) pandemic, wastewater surveillance has been utilized to monitor the disease in the United States through routine national, statewide, and regional monitoring projects. A significant canon of evidence was produced showing that wastewater surveillance is a credible and effective tool for disease monitoring. Hence, the application of wastewater surveillance can extend beyond monitoring SARS-CoV-2 to encompass a diverse range of emerging diseases. This article proposed a ranking system for prioritizing reportable communicable diseases (CDs) in the Tri-County Detroit Area (TCDA), Michigan, for future wastewater surveillance applications at the Great Lakes Water Authority's Water Reclamation Plant (GLWA's WRP). Methods The comprehensive CD wastewater surveillance ranking system (CDWSRank) was developed based on 6 binary and 6 quantitative parameters. The final ranking scores of CDs were computed by summing the multiplication products of weighting factors for each parameter, and then were sorted based on decreasing priority. Disease incidence data from 2014 to 2021 were collected for the TCDA. Disease incidence trends in the TCDA were endowed with higher weights, prioritizing the TCDA over the state of Michigan. Results Disparities in incidences of CDs were identified between the TCDA and state of Michigan, indicating epidemiological differences. Among 96 ranked CDs, some top ranked CDs did not present relatively high incidences but were prioritized, suggesting that such CDs require significant attention by wastewater surveillance practitioners, despite their relatively low incidences in the geographic area of interest. Appropriate wastewater sample concentration methods are summarized for the application of wastewater surveillance as per viral, bacterial, parasitic, and fungal pathogens. Discussion The CDWSRank system is one of the first of its kind to provide an empirical approach to prioritize CDs for wastewater surveillance, specifically in geographies served by centralized wastewater collection in the area of interest. The CDWSRank system provides a methodological tool and critical information that can help public health officials and policymakers allocate resources. It can be used to prioritize disease surveillance efforts and ensure that public health interventions are targeted at the most potentially urgent threats. The CDWSRank system can be easily adopted to geographical locations beyond the TCDA.
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Affiliation(s)
- Zachary Gentry
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States
| | - Liang Zhao
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States
| | | | - Randy E. David
- Wayne State University School of Medicine, Detroit, MI, United States
| | - John Norton
- Great Lakes Water Authority, Detroit, MI, United States
| | - Irene Xagoraraki
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States
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Kilaru P, Hill D, Anderson K, Collins MB, Green H, Kmush BL, Larsen DA. Wastewater Surveillance for Infectious Disease: A Systematic Review. Am J Epidemiol 2022; 192:305-322. [PMID: 36227259 PMCID: PMC9620728 DOI: 10.1093/aje/kwac175] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 08/25/2022] [Accepted: 10/05/2022] [Indexed: 02/07/2023] Open
Abstract
Wastewater surveillance for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been shown to be a valuable source of information regarding SARS-CoV-2 transmission and coronavirus disease 2019 (COVID-19) cases. Although the method has been used for several decades to track other infectious diseases, there has not been a comprehensive review outlining all of the pathogens that have been surveilled through wastewater. Herein we identify the infectious diseases that have been previously studied via wastewater surveillance prior to the COVID-19 pandemic. Infectious diseases and pathogens were identified in 100 studies of wastewater surveillance across 38 countries, as were themes of how wastewater surveillance and other measures of disease transmission were linked. Twenty-five separate pathogen families were identified in the included studies, with the majority of studies examining pathogens from the family Picornaviridae, including polio and nonpolio enteroviruses. Most studies of wastewater surveillance did not link what was found in the wastewater to other measures of disease transmission. Among those studies that did, the value reported varied by study. Wastewater surveillance should be considered as a potential public health tool for many infectious diseases. Wastewater surveillance studies can be improved by incorporating other measures of disease transmission at the population-level including disease incidence and hospitalizations.
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Affiliation(s)
- Pruthvi Kilaru
- Department of Public Health, Syracuse University, Syracuse, New York, United States,Des Moines University College of Osteopathic Medicine, Des Moines, Iowa, United States
| | - Dustin Hill
- Department of Public Health, Syracuse University, Syracuse, New York, United States,Graduate Program in Environmental Science, State University of New York College of Environmental Science and Forestry, Syracuse, New York, United States
| | - Kathryn Anderson
- Department of Medicine, State University of New York Upstate Medical University, Syracuse, New York, United States
| | - Mary B Collins
- Department of Environmental Studies, State University of New York College of Environmental Science, Syracuse, New York, United States
| | - Hyatt Green
- Department of Environmental Biology, State University of New York College of Environmental Science, Syracuse, New York, United States
| | - Brittany L Kmush
- Department of Public Health, Syracuse University, Syracuse, New York, United States
| | - David A Larsen
- Correspondence to Dr. Dave Larsen, Department of Public Health, Syracuse University, 430C White Hall, Syracuse, NY 13244 ()
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Tram NT, Phuc PD, Phi NH, Trang LT, Nga TT, Ha HTT, Cam PD, Canh TQ, Karanis P. Cryptosporidium and Giardia in Biogas Wastewater: Management of Manure Livestock and Hygiene Aspects Using Influent, Effluent, Sewage Canal Samples, Vegetable, and Soil Samples. Pathogens 2022; 11:174. [PMID: 35215118 PMCID: PMC8875155 DOI: 10.3390/pathogens11020174] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 01/23/2022] [Accepted: 01/25/2022] [Indexed: 12/04/2022] Open
Abstract
Cryptosporidium and Giardia are two water- and foodborne protozoan parasites that can cause diarrheal diseases. Poor microbial quality, sanitation conditions, and hygiene practices at exposure to biogas wastewater are important risk factors for human and animal infection. This study highlights the presence and level of both parasites in the environment in relation to biogas waste reuse in Vietnam. A total of 239 samples were collected from different types of samples in the studied districts in Bac Giang province in 2020 via direct immunofluorescent detection to study the occurrence of Cryptosporidium spp. and Giardia spp. (oo)cysts. Among the samples, Cryptosporidium was found in 19 (7.9%) with concentration from 1.104 to 3.105 oocysts/100 mL, while Giardia in 40 (16.7%) with concentration from 1.104 to 2.106 cysts/100 mL, respectively. In detail, the results show that the percentages of positive detection of Cryptosporidium spp. and Giardia spp. in influent, effluent, sewage canal, and vegetables were 13.1% (11/84), 6.0% (5/83), 15.4% (2/13) and 5.9% (1/17) and 26.2% (22/84), 7.2% (6/83), 7.7% (1/13) and 5.9% (1/17), respectively. The results show a trend of decreasing Cryptosporidium and Giardia densities, without statistical significance. Although these parasites decreased after biogas treatment, the remaining loads observed in biogas effluent can reach the watercourses and soil receiving it. Further investigations are needed to contribute to a general understanding of the risk of protozoan parasites, as well as strategies to control and reduce the contamination of environmental water sources and plants and reduce the burden of the pathogens in biogas wastewater in Vietnam.
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Affiliation(s)
- Nguyen Thuy Tram
- Department of Bacteriology, National Institute of Hygiene and Epidemiology (NIHE), 1 Yersin, Hanoi 122000, Vietnam; (N.T.T.); (L.T.T.); (T.T.N.); (H.T.T.H.); (P.D.C.)
| | - Pham Duc Phuc
- Center for Public Health and Ecosystem Research (CENPHER), Hanoi University of Public Health, 1A Duc Thang, Hanoi 122000, Vietnam; (P.D.P.); (N.H.P.)
| | - Nguyen Hong Phi
- Center for Public Health and Ecosystem Research (CENPHER), Hanoi University of Public Health, 1A Duc Thang, Hanoi 122000, Vietnam; (P.D.P.); (N.H.P.)
| | - Le Thi Trang
- Department of Bacteriology, National Institute of Hygiene and Epidemiology (NIHE), 1 Yersin, Hanoi 122000, Vietnam; (N.T.T.); (L.T.T.); (T.T.N.); (H.T.T.H.); (P.D.C.)
| | - Tang Thi Nga
- Department of Bacteriology, National Institute of Hygiene and Epidemiology (NIHE), 1 Yersin, Hanoi 122000, Vietnam; (N.T.T.); (L.T.T.); (T.T.N.); (H.T.T.H.); (P.D.C.)
| | - Hoang Thi Thu Ha
- Department of Bacteriology, National Institute of Hygiene and Epidemiology (NIHE), 1 Yersin, Hanoi 122000, Vietnam; (N.T.T.); (L.T.T.); (T.T.N.); (H.T.T.H.); (P.D.C.)
| | - Phung Dac Cam
- Department of Bacteriology, National Institute of Hygiene and Epidemiology (NIHE), 1 Yersin, Hanoi 122000, Vietnam; (N.T.T.); (L.T.T.); (T.T.N.); (H.T.T.H.); (P.D.C.)
| | - Tran Quang Canh
- Department of Medical Laboratory Science, Hai Duong Medical Technical University, 1 Vu Huu, Thanh Binh, Hai Duong 17000, Vietnam;
| | - Panagiotis Karanis
- Medical Faculty, University of Cologne, University Hospital, 50931 Cologne, Germany
- Department of Basic and Clinical Sciences, Medical School, Anatomy Institute, University of Nicosia, Nicosia 2408, Cyprus
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Zahedi A, Monis P, Deere D, Ryan U. Wastewater-based epidemiology-surveillance and early detection of waterborne pathogens with a focus on SARS-CoV-2, Cryptosporidium and Giardia. Parasitol Res 2021; 120:4167-4188. [PMID: 33409629 PMCID: PMC7787619 DOI: 10.1007/s00436-020-07023-5] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 12/14/2020] [Indexed: 12/21/2022]
Abstract
Waterborne diseases are a major global problem, resulting in high morbidity and mortality, and massive economic costs. The ability to rapidly and reliably detect and monitor the spread of waterborne diseases is vital for early intervention and preventing more widespread disease outbreaks. Pathogens are, however, difficult to detect in water and are not practicably detectable at acceptable concentrations that need to be achieved in treated drinking water (which are of the order one per million litre). Furthermore, current clinical-based surveillance methods have many limitations such as the invasive nature of the testing and the challenges in testing large numbers of people. Wastewater-based epidemiology (WBE), which is based on the analysis of wastewater to monitor the emergence and spread of infectious disease at a population level, has received renewed attention in light of the current coronavirus disease 2019 (COVID-19) pandemic. The present review will focus on the application of WBE for the detection and surveillance of pathogens with a focus on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the waterborne protozoan parasites Cryptosporidium and Giardia. The review highlights the benefits and challenges of WBE and the future of this tool for community-wide infectious disease surveillance.
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Affiliation(s)
- Alireza Zahedi
- Harry Butler Institute, Murdoch University, Perth, Australia
| | - Paul Monis
- South Australian Water Corporation, Adelaide, Australia
| | - Daniel Deere
- Water Futures and Water Research Australia, Sydney, Australia
| | - Una Ryan
- Harry Butler Institute, Murdoch University, Perth, Australia.
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Karim MR, Li J, Rume FI, Sumon SMR, Selim ASM, Hoda N, Zhang L. Occurrence and molecular characterization of Cryptosporidium spp. and Giardia duodenalis among captive mammals in the Bangladesh National Zoo. Parasitol Int 2021; 84:102414. [PMID: 34182122 DOI: 10.1016/j.parint.2021.102414] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 06/09/2021] [Accepted: 06/22/2021] [Indexed: 10/21/2022]
Abstract
Cryptosporidium and Giardia are protozoan parasites capable of causing gastrointestinal illness in humans and animals. The purpose of this research was to determine the occurrence, genetic characteristics, and zoonotic potential of Cryptosporidium spp. and Giardia duodenalis in captive mammals at the Bangladesh National Zoo. A total of 200 fresh fecal samples from 32 mammalian species were collected and examined for Cryptosporidium spp. using nested polymerase chain reaction (PCR) targeting the small subunit (SSU) rRNA gene and G. duodenalis targeting the β-giardin (bg), glutamate dehydrogenase (gdh), and triosephosphate isomerase (tpi) genes. The overall infection rates of Cryptosporidium and G. duodenalis among captive mammals in the zoo were 3.5% (7/200) and 5.5% (11/200), respectively. Five species/genotypes of Cryptosporidium (C. hominis, C. andersoni, C. muris, C. felis, and Cryptosporidium deer genotype) were identified. C. hominis was subtyped as IbA12G3 by sequence analysis of the glycoprotein 60 (gp60) gene. Multilocus genotyping of G. duodenalis revealed assemblages A, B, and D. Mixed infections of assemblages B and D and A and B were found in an Asiatic jackal and a Nilgiri langur, respectively. To our knowledge, this is the first report on the occurrence and genetic identity of the two parasites among zoo animals in Bangladesh. The results suggest that zoonotic Cryptosporidium spp. and G. duodenalis are maintained in and transmitted between captive mammals. Therefore, washing, cleaning, and disinfection measures should be implemented to reduce the spread of Cryptosporidium and G. duodenalis infections.
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Affiliation(s)
- Md Robiul Karim
- Faculty of Veterinary Medicine and Animal Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
| | - Junqiang Li
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China.
| | - Farzana Islam Rume
- Department of Microbiology and Public Health, Patuakhali Science and Technology University, Barishal 8210, Bangladesh
| | - Sm Mostafizur Rahaman Sumon
- Faculty of Veterinary Medicine and Animal Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
| | - Abu Sadeque Md Selim
- Faculty of Veterinary Medicine and Animal Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
| | - Nazmul Hoda
- Bangladesh National Zoo, Mirpur, Dhaka 1216, Bangladesh
| | - Longxian Zhang
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China.
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Fan Y, Wang X, Yang R, Zhao W, Li N, Guo Y, Xiao L, Feng Y. Molecular characterization of the waterborne pathogens Cryptosporidium spp., Giardia duodenalis, Enterocytozoon bieneusi, Cyclospora cayetanensis and Eimeria spp. in wastewater and sewage in Guangzhou, China. Parasit Vectors 2021; 14:66. [PMID: 33472683 PMCID: PMC7818739 DOI: 10.1186/s13071-020-04566-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 12/28/2020] [Indexed: 01/08/2023] Open
Abstract
Background The waterborne pathogens Cryptosporidium spp., Giardia duodenalis, Enterocytozoon bieneusi and Cyclospora cayetanensis can cause intestinal diseases in humans. An understanding of their occurrence and transport in the environment is essential for accurate quantitative microbial risk assessment. Methods A total of 238 influent samples were collected from four wastewater treatment plants (WWTPs) and 88 samples from eight sewer locations in Guangzhou, China. PCR-based tools were used to detect and genetically characterize Cryptosporidium spp., G. duodenalis and E. bieneusi. Eimeria spp. and Cyclospora spp. were also analyzed to assess the sources of Cryptosporidium spp., G. duodenalis and E. bieneusi in wastewater. Results The overall occurrence rates in the WWTP and sewer samples were 14.3% (34/238) and 13.6% (12/88) for Cryptosporidium spp., 55.5% (132/238) and 33.0% (29/88) for G. duodenalis, 56.3% (134/238) and 26.1% (23/88) for E. bieneusi and 45.4% (108/238) and 47.7% (42/88) for Eimeria spp., respectively. Altogether, 11 Cryptosporidium species and genotypes, six G. duodenalis genotypes, 11 E. bieneusi genotypes and four C. cayetanensis were found, together with the presence of nine Eimeria species. The common occurrence of Cryptosporidium rat genotype IV, C. muris and Eimeria papillata and E. nieschulzi suggested that rodents were significant sources of the enteric pathogens detected in the wastewater samples. Conclusions While the dominant Cryptosporidium spp. detected in the raw wastewater sampled in this study are not pathogenic to humans, the widely detected G. duodenalis assemblage A and E. bieneusi genotypes D and Type IV are well-known zoonotic pathogens. Further studies are needed to monitor the occurrence of these waterborne pathogens in WWTPs to better understand their transmission and environmental transport in China.![]()
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Affiliation(s)
- Yingying Fan
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Xinrui Wang
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Ruohong Yang
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Wentao Zhao
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Na Li
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Yaqiong Guo
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Lihua Xiao
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, Guangdong, China. .,Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, Guangdong, China.
| | - Yaoyu Feng
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, Guangdong, China. .,Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, Guangdong, China.
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Javanmard E, Mirsamadi ES, Olfatifar M, Ghasemi E, Saki F, Mirjalali H, Zali MR, Karanis P. Prevalence of Cryptosporidium and Giardia in vegetables in Iran: a nineteen-years meta-analysis review. JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE & ENGINEERING 2020; 18:1629-1641. [PMID: 33312667 PMCID: PMC7721826 DOI: 10.1007/s40201-020-00493-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 06/08/2020] [Indexed: 06/12/2023]
Abstract
Cryptosporidium and Giardia are two major protozoa reported from vegetables and environment. The prevalence of these parasites supposes to be different regarding the climate zones. This review aimed to evaluate the prevalence of Cryptosporidium and Giardia in vegetables according to the major climate zones in Iran. The results showed pooled prevalence 7% (95% CI: 2%, 14%) and 4% (95% CI: 3%, 6%) for Cryptosporidium spp., and Giardia spp., respectively. The prevalence of Giardia spp. in mountain, desert and semi-desert, and Mediterranean regions was 4% (95% CI: 2%, 6%), 5% (95% CI: 3%, 8%) and 7% (95% CI: 1%, 18%), respectively. Cryptosporidium spp. was reported 8% (95% CI: 0%, 65%), 6% (95% CI: 0%, 18%) and 4% (95% CI: 0%, 77%) from mountain, desert and semi-desert, and Mediterranean climate zones, respectively. This review suggests the higher prevalence of Giardia and Cryptosporidium in Mediterranean and mountain regions, respectively.
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Affiliation(s)
- Ehsan Javanmard
- Foodborne and Waterborne Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elnaz Sadat Mirsamadi
- Department of Microbiology, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Meysam Olfatifar
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Erfan Ghasemi
- Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fatemeh Saki
- Department of Geography, Faculty of Teacher Education, Farhangian University, Alborz, Iran
| | - Hamed Mirjalali
- Foodborne and Waterborne Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Reza Zali
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Panagiotis Karanis
- Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Basic and Clinical Sciences, Nicosia University Medical School, 2408 Nicosia, Cyprus
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Huang Q, Yang L, Li B, Du H, Zhao F, Han L, Wang Q, Deng Y, Xiao G, Wang D. Cryptosporidium spp. and Giardia duodenalis emissions from humans and animals in the Three Gorges Reservoir in Chongqing, China. PeerJ 2020; 8:e9985. [PMID: 33194374 PMCID: PMC7646300 DOI: 10.7717/peerj.9985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 08/27/2020] [Indexed: 11/29/2022] Open
Abstract
Cryptosporidium spp. and Giardia duodenalis are two waterborne protozoan parasites that can cause diarrhea. Human and animal feces in surface water are a major source of these pathogens. This paper presents a GloWPa-TGR-Crypto model that estimates Cryptosporidium and G. duodenalis emissions from human and animal feces in the Three Gorges Reservoir (TGR), and uses scenario analysis to predict the effects of sanitation, urbanization, and population growth on oocyst and cyst emissions for 2050. Our model estimated annual emissions of 1.6 × 1015 oocysts and 2.1 × 1015 cysts from human and animal feces, respectively. Humans were the largest contributors of oocysts and cysts, followed by pigs and poultry. Cities were hot-spots for human emissions, while districts with high livestock populations accounted for the highest animal emissions. Our model was the most sensitive to oocyst excretion rates. The results indicated that 74% and 87% of total emissions came from urban areas and humans, respectively, and 86% of total human emissions were produced by the urban population. The scenario analysis showed a potential decrease in oocyst and cyst emissions with improvements in urbanization, sanitation, wastewater treatment, and manure management, regardless of population increase. Our model can further contribute to the understanding of environmental pathways, the risk assessment of Cryptosporidium and Giardia pollution, and effective prevention and control strategies that can reduce the outbreak of waterborne diseases in the TGR and other similar watersheds.
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Affiliation(s)
- Qian Huang
- College of Biology and Food Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China
| | - Ling Yang
- College of Biology and Food Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China
| | - Bo Li
- College of Biology and Food Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China
| | - Huihui Du
- College of Biology and Food Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China.,Engineering Technology Research Center of Characteristic Biological Resources in Northeast Chongqing, Chongqing Three Gorges University, Wanzhou, Chongqing, China
| | - Feng Zhao
- College of Biology and Food Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China
| | - Lin Han
- College of Biology and Food Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China.,Engineering Technology Research Center of Characteristic Biological Resources in Northeast Chongqing, Chongqing Three Gorges University, Wanzhou, Chongqing, China
| | - Qilong Wang
- College of Biology and Food Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China
| | - Yunjia Deng
- College of Biology and Food Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China
| | - Guosheng Xiao
- College of Biology and Food Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, China.,Engineering Technology Research Center of Characteristic Biological Resources in Northeast Chongqing, Chongqing Three Gorges University, Wanzhou, Chongqing, China.,Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou, Chongqing, China
| | - Dayong Wang
- Medical School, Southeast University, Nanjing, Jiangsu, China
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