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Yang SK, Zhang W, Zhu N, McManus DP, Gray DJ, Clements ACA, Cadavid Restrepo AM, Williams GM, Zhang T, Ma GR, Yang YH, Yang YR. Serological Comparison of Native Antigen ELISAs with Rapid ICT Test Kits for the Diagnosis of Human Alveolar and Cystic Echinococcosis in China. Trop Med Infect Dis 2024; 9:44. [PMID: 38393133 PMCID: PMC10893119 DOI: 10.3390/tropicalmed9020044] [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: 11/20/2023] [Revised: 01/31/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND The aim of this study was to compare the diagnostic performance of native antigen ELISAs and ADAMU-AE/CE commercial ICT test kits in subjects either exposed to Echinococcus infection or with clinically diagnosed alveolar (AE) or cystic (CE) echinococcosis. METHODS A total of 370 subjects with a previous clinical confirmation of CE or AE from northwestern China were recruited. Serum samples were also obtained from 3923 children/teenagers during a community survey. All sera were tested using native antigen ELISAs. The ADAMU-AE/CE test kits were subsequently used for the serology of the 370 clinically confirmed individuals and of 251 children/teenagers that were ELISA antibody-positive for both Echinococcus species but ultrasound-negative during baseline survey. An analysis of the association between the serological tests and ultrasound classification was carried out amongst 89 AE and 164 CE cases. A Kappa consistency analysis was undertaken to compare the diagnostic performance of the native antigen ELISAs and the ADAMU kits and the ultrasound imaging results. The χ² test was also used for a comparison of the different seropositivity rates between the groups. FINDINGS There was poor consistency (Kappa = 0.26 and 0.28 for AE and CE respectively) between the native antigen ELISAs and the ADAMU kits for the diagnosis of AE and CE among the cases and the surveyed children/teenagers, but a relatively good consistency (Kappa = 0.63) between the ADAMU-AE kit and ultrasound observations for the AE cases. Additionally, of the 251 teenagers co-positive for both AE and CE antibodies by the native antigen ELISAs, only one was found positive by the ADAMU-AE kit, verified as a new AE case on subsequent ultrasound follow-up. The remainder (N = 250) were negative by serology using the ADAMU-AE/CE kits and by ultrasound examination. The two native antigen ELISAs did not discriminate well between cases of clinically diagnosed AE and CE. In contrast, ADAMU-AE and ADAMU-CE commercial ICT test kits readily differentiated cases of AE from CE with specificities of 99% for AE and 100% for CE. CONCLUSIONS The ADAMU-AE/CE kits proved reliable, accurate, and amenable diagnostic tools in the clinical setting for confirmation of suspected AE/CE cases. The native antigen ELISAs tests can provide useful information on the level of human exposure to Echinococcus infection.
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Affiliation(s)
- Shu-Kun Yang
- Department of Radiology, The Second Affiliated Hospital of Ningxia Medical University, The First People’s Hospital of Yinchuan City, Yinchuan 750001, China;
| | - Wei Zhang
- Department of Pathogenic Biology & Medical Immunology, School of Basic Medical Science, Ningxia Medical University, Yinchuan 750004, China; (W.Z.); (N.Z.); (G.-R.M.); (Y.-H.Y.)
| | - Na Zhu
- Department of Pathogenic Biology & Medical Immunology, School of Basic Medical Science, Ningxia Medical University, Yinchuan 750004, China; (W.Z.); (N.Z.); (G.-R.M.); (Y.-H.Y.)
| | - Donald P. McManus
- Molecular Parasitology Laboratory, Global Health & Tropical Medicine, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia (D.J.G.)
| | - Darren J. Gray
- Molecular Parasitology Laboratory, Global Health & Tropical Medicine, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia (D.J.G.)
- Department of Global Health, Research School of Population Health, Australian National University, Acton, ACT 2600, Australia;
- Infectious Disease Epidemiology Unit, School of Public Health, University of Queensland, Brisbane, QLD 4006, Australia; (A.M.C.R.); (G.M.W.)
| | - Archie C. A. Clements
- Department of Global Health, Research School of Population Health, Australian National University, Acton, ACT 2600, Australia;
- Faculty of Health Sciences, Curtin University, Perth, WA 6102, Australia
| | - Angela M. Cadavid Restrepo
- Infectious Disease Epidemiology Unit, School of Public Health, University of Queensland, Brisbane, QLD 4006, Australia; (A.M.C.R.); (G.M.W.)
| | - Gail M. Williams
- Infectious Disease Epidemiology Unit, School of Public Health, University of Queensland, Brisbane, QLD 4006, Australia; (A.M.C.R.); (G.M.W.)
| | - Ting Zhang
- NHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai 200025, China
| | - Guo-Rong Ma
- Department of Pathogenic Biology & Medical Immunology, School of Basic Medical Science, Ningxia Medical University, Yinchuan 750004, China; (W.Z.); (N.Z.); (G.-R.M.); (Y.-H.Y.)
| | - Yan-Hui Yang
- Department of Pathogenic Biology & Medical Immunology, School of Basic Medical Science, Ningxia Medical University, Yinchuan 750004, China; (W.Z.); (N.Z.); (G.-R.M.); (Y.-H.Y.)
| | - Yu-Rong Yang
- Department of Pathogenic Biology & Medical Immunology, School of Basic Medical Science, Ningxia Medical University, Yinchuan 750004, China; (W.Z.); (N.Z.); (G.-R.M.); (Y.-H.Y.)
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Shumuye NA, Li L, Li WH, Zhang NZ, Wu YT, Wu YD, Tian WJ, Zhang LS, Nian XF, Dai GD, Chen WG, Gao SZ, Tian XQ, Liu JS, Li B, Kebede N, Fu BQ, Yan HB, Jia WZ. Infection of sheep by Echinococcus multilocularis in Gansu, China: evidence from mitochondrial and nuclear DNA analysis. Infect Dis Poverty 2023; 12:72. [PMID: 37563679 PMCID: PMC10413491 DOI: 10.1186/s40249-023-01120-0] [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: 04/12/2023] [Accepted: 07/13/2023] [Indexed: 08/12/2023] Open
Abstract
BACKGROUND In the normal life cycle of the parasite (Echinococcus multilocularis) that causes alveolar echinococcosis, domestic and wild carnivores act as definitive hosts, and rodents act as intermediate hosts. The presented study contributes to the research on the distribution and transmission pattern of E. multilocularis in China having identified sheep as an unusual intermediate host taking part in the domestic transmission of alveolar echinococcosis in Gansu Province, China. METHODS From 2020 to 2021, nine whitish different cyst-like were collected from the liver of sheep in Gansu Province for examination. A near complete mitochondrial (mt) genome and selected nuclear genes were amplified from the cyst-like lesion for identification. To confirm the status of the specimen, comparative analysis with reference sequences, phylogenetic analysis, and network analysis were performed. RESULTS The isolates displayed ≥ 98.87% similarity to E. multilocularis NADH dehydrogenase sub-unit 1 (nad1) (894 bp) reference sequences deposited in GenBank. Furthermore, amplification of the nad4 and nad2 genes also confirmed all nine samples as E. multilocularis with > 99.30% similarity. Additionally, three nuclear genes, pepck (1545 bp), elp-exons VII and VIII (566 bp), and elp-exon IX (256 bp), were successfully amplified and sequenced for one of the isolates with 98.42% similarity, confirming the isolates were correctly identified as E. multilocularis. Network analysis also correctly placed the isolates with other E. multilocularis. CONCLUSIONS As a result of the discovery of E. multilocularis in an unusual intermediate host, which is considered to have the highest zoonotic potential, the result clearly demonstrated the necessity for expanded surveillance in the area.
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Affiliation(s)
- Nigus Abebe Shumuye
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
- Department of Veterinary Clinical Medicine and Epidemiology, Mekelle University, College of Veterinary Sciences, Kalamino Campus, P.O.Box: 2084, Mekelle, Tigray, Ethiopia
| | - Li Li
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Wen-Hui Li
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Nian-Zhang Zhang
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Yan-Tao Wu
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Yao-Dong Wu
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Wen-Jun Tian
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Lin-Sheng Zhang
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Xiao-Feng Nian
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Guo-Dong Dai
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Wei-Gang Chen
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Sheng-Zhi Gao
- Gansu Animal Centre for Disease Control and Prevention, Lanzhou, 730046, Gansu Province, China
| | - Xue-Qi Tian
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
| | - Jun-Shi Liu
- Jingyuan County Animal Centre for Disease Control and Prevention, Jingyuan County Animal Husbandry and Veterinary Technical Service Center, Jingyuan, 730600, Gansu Province, China
| | - Bin Li
- Jingyuan County Animal Centre for Disease Control and Prevention, Jingyuan County Animal Husbandry and Veterinary Technical Service Center, Jingyuan, 730600, Gansu Province, China
| | - Nigatu Kebede
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Bao-Quan Fu
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, 225009, China
| | - Hong-Bin Yan
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
| | - Wan-Zhong Jia
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, National Para-Reference Laboratory for Animal Echinococcosis, Key Laboratory of Veterinary Parasitology of Gansu Province Lanzhou Veterinary Research Institute, Lanzhou University, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, 225009, China.
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Ma T, Wang Q, Hao M, Xue C, Wang X, Han S, Wang Q, Zhao J, Ma X, Wu X, Jiang X, Cao L, Yang Y, Feng Y, Gongsang Q, Scheffran J, Fang L, Maude RJ, Zheng C, Ding F, Wu W, Jiang D. Epidemiological characteristics and risk factors for cystic and alveolar echinococcosis in China: an analysis of a national population-based field survey. Parasit Vectors 2023; 16:181. [PMID: 37270512 DOI: 10.1186/s13071-023-05788-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 04/27/2023] [Indexed: 06/05/2023] Open
Abstract
BACKGROUND Human cystic and alveolar echinococcosis are neglected tropical diseases that WHO has prioritized for control in recent years. Both diseases impose substantial burdens on public health and the socio-economy in China. In this study, which is based on the national echinococcosis survey from 2012 to 2016, we aim to describe the spatial prevalence and demographic characteristics of cystic and alveolar echinococcosis infections in humans and assess the impact of environmental, biological and social factors on both types of the disease. METHODS We computed the sex-, age group-, occupation- and education level-specific prevalences of cystic and alveolar echinococcosis at national and sub-national levels. We mapped the geographical distribution of echinococcosis prevalence at the province, city and county levels. Finally, by analyzing the county-level echinococcosis cases combined with a range of associated environmental, biological and social factors, we identified and quantified the potential risk factors for echinococcosis using a generalized linear model. RESULTS A total of 1,150,723 residents were selected and included in the national echinococcosis survey between 2012 and 2016, of whom 4161 and 1055 tested positive for cystic and alveolar echinococcosis, respectively. Female gender, older age, occupation at herdsman, occupation as religious worker and illiteracy were identified as risk factors for both types of echinococcosis. The prevalence of echinococcosis was found to vary geographically, with areas of high endemicity observed in the Tibetan Plateau region. Cystic echinococcosis prevalence was positively correlated with cattle density, cattle prevalence, dog density, dog prevalence, number of livestock slaughtered, elevation and grass area, and negatively associated with temperature and gross domestic product (GDP). Alveolar echinococcosis prevalence was positively correlated with precipitation, level of awareness, elevation, rodent density and rodent prevalence, and negatively correlated with forest area, temperature and GDP. Our results also implied that drinking water sources are significantly associated with both diseases. CONCLUSIONS The results of this study provide a comprehensive understanding of geographical patterns, demographic characteristics and risk factors of cystic and alveolar echinococcosis in China. This important information will contribute towards developing targeted prevention measures and controlling diseases from the public health perspective.
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Affiliation(s)
- Tian Ma
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qian Wang
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Mengmeng Hao
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chuizhao Xue
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China
| | - Xu Wang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China
| | - Shuai Han
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China
| | - Qian Wang
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, Sichuan, China
| | - Jiangshan Zhao
- Xingjiang Uyghur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China
| | - Xiao Ma
- Qinghai Institute for Endemic Disease Prevention and Control, Xining, Qinghai, China
| | - Xianglin Wu
- Ningxia Center for Disease Control and Prevention, Yinchuan, Ningxia, China
| | - Xiaofeng Jiang
- Inner Mongolia Autonomous Region Center for Diseases Control and Prevention, Hohhot, Inner Mongolia, China
| | - Lei Cao
- Shaanxi Provincial Center for Disease Control and Prevention, Xi'an, Shaanxi, China
| | - Yaming Yang
- Yunnan Institute of Parasitic Diseases, Puer, Yunnan, China
| | - Yu Feng
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu, China
| | - Quzhen Gongsang
- Tibet Center for Diseases Control and Prevention, Lhasa, Tibet, China
| | - Jürgen Scheffran
- Institute of Geography, Center for Earth System Research and Sustainability, University of Hamburg, 20144, Hamburg, Germany
| | - Liqun Fang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Richard James Maude
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Harvard TH Chan School of Public Health, Harvard University, Boston, USA
- The Open University, Milton Keynes, UK
| | - Canjun Zheng
- Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Fangyu Ding
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Weiping Wu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, China.
| | - Dong Jiang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing, China.
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Müller J, Preza M, Kaethner M, Rufener R, Braga S, Uldry AC, Heller M, Lundström-Stadelmann B. Targeted and non-targeted proteomics to characterize the parasite proteins of Echinococcus multilocularis metacestodes. Front Cell Infect Microbiol 2023; 13:1170763. [PMID: 37325510 PMCID: PMC10266102 DOI: 10.3389/fcimb.2023.1170763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 05/16/2023] [Indexed: 06/17/2023] Open
Abstract
The larval stage of the cestode Echinococcus multilocularis is the causative agent of alveolar echinococcosis. To investigate the biology of these stages and to test novel compounds, metacestode cultures represent a suitable in vitro model system. These metacestodes are vesicles surrounded by an envelope formed by the vesicle tissue (VT), which is formed by the laminated and germinal layer, and filled with vesicle fluid (VF). We analyzed the proteome of VF and VT by liquid chromatography tandem mass spectrometry (LC-MS/MS) and identified a total of 2,954 parasite proteins. The most abundant protein in VT was the expressed conserved protein encoded by EmuJ_000412500, followed by the antigen B subunit AgB8/3a encoded by EmuJ_000381500 and Endophilin B1 (protein p29). In VF, the pattern was different and dominated by AgB subunits. The most abundant protein was the AgB8/3a subunit followed by three other AgB subunits. In total, the AgB subunits detected in VF represented 62.1% of the parasite proteins. In culture media (CM), 63 E. multilocularis proteins were detected, of which AgB subunits made up 93.7% of the detected parasite proteins. All AgB subunits detected in VF (encoded by EmuJ_000381100-700, corresponding to AgB8/2, AgB8/1, AgB8/4, AgB8/3a, AgB8/3b, and AgB8/3c) were also found in CM, except the subunit encoded by EmuJ_000381800 (AgB8/5) that was very rare in VF and not detected in CM. The relative abundance of the AgB subunits in VF and CM followed the same pattern. In VT, only the subunits EmuJ_000381500 (AgB8/3a) and EmuJ_000381200 (AgB8/1) were detected among the 20 most abundant proteins. To see whether this pattern was specific to VF from in vitro cultured metacestodes, we analyzed the proteome of VF from metacestodes grown in a mouse model. Here, the AgB subunits encoded by EmuJ_000381100-700 constituted the most abundant proteins, namely, 81.9% of total protein, with the same order of abundance as in vitro. Immunofluorescence on metacestodes showed that AgB is co-localized to calcareous corpuscles of E. multilocularis. Using targeted proteomics with HA-tagged EmuJ_000381200 (AgB8/1) and EmuJ_000381100 (AgB8/2), we could show that uptake of AgB subunits from CM into VF occurs within hours.
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Affiliation(s)
- Joachim Müller
- Institute of Parasitology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Matías Preza
- Institute of Parasitology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Marc Kaethner
- Institute of Parasitology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences (GCB), University of Bern, Bern, Switzerland
| | - Reto Rufener
- Institute of Parasitology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences (GCB), University of Bern, Bern, Switzerland
| | - Sophie Braga
- Proteomics and Mass Spectrometry Core Facility, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland
| | - Anne-Christine Uldry
- Proteomics and Mass Spectrometry Core Facility, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland
| | - Manfred Heller
- Proteomics and Mass Spectrometry Core Facility, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland
| | - Britta Lundström-Stadelmann
- Institute of Parasitology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland
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Yin J, Wu X, Han J, Torgerson PR. The impact of natural environment on human alveolar echinococcosis: A township-level modeling study in Qinghai-Tibet Plateau. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:159085. [PMID: 36179829 DOI: 10.1016/j.scitotenv.2022.159085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 09/23/2022] [Accepted: 09/23/2022] [Indexed: 06/16/2023]
Abstract
Human alveolar echinococcosis (AE) is a lethal helminthic infection caused by the tapeworms Echinococcus multilocularis. The Qinghai-Tibet Plateau has the greatest endemicity of human AE globally, but the natural risk factors and its impact mechanism are still unclear. Generalized linear models and generalized additive models are used to select key linear and non-linear environmental factors associated with cases of AE. The interactive effect between different factors is identified using concurvity test. From fifty-nine variables analyzed, four key factors and one interaction term were identified associated with AE. Considering interaction terms between climatic and geographical landscape factors can significantly improve model fitting. Minimum winter precipitation, percentage of grassland cover, and minimum elevation have significant positive linear relationship with human AE incidence. The relationship between maximum summer precipitation and human AE is non-linear with high AE incidence associated with moderate precipitation. The interaction term of maximum summer precipitation and number of patches of grassland on human AE indicates that human AE incidence is highest when both factors were high. The climatic and landscape risk factors together are associated with the local transmission of human AE in Qinghai-Tibet Plateau. This study provides a scientific basis for human intervention in AE from fine-scale ecological environment.
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Affiliation(s)
- Jie Yin
- State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Section of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Xiaoxu Wu
- State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
| | - Jiatong Han
- State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Paul Robert Torgerson
- Section of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.
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Di X, Li S, Ma B, Di X, Li Y, An B, Jiang W. How climate, landscape, and economic changes increase the exposure of Echinococcus Spp. BMC Public Health 2022; 22:2315. [PMID: 36496362 PMCID: PMC9741777 DOI: 10.1186/s12889-022-14803-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 12/05/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Echinococcosis is a global enzootic disease influenced by different biological and environmental factors and causes a heavy financial burden on sick families and governments. Currently, government subsidies for the treatment of patients with echinococcosis are only a fixed number despite patients' finical income or cost of treatment, and health authorities are demanded to supply an annual summary of only endemic data. The risk to people in urban areas or non-endemic is increasing with climate, landscape, and lifestyle changes. METHODS We conducted retrospective descriptive research on inpatients with human echinococcosis (HE) in Lanzhou hospitals and analyzed the healthcare expenditure on inpatient treatment and examined the financial inequalities relating to different levels of gross domestic product. The livestock losses were also estimated by infection ratio. The occurrence records of Echinococcus spp. composed of hospitalized patients and dogs infected in the Gansu province were collected for Ecological niche modeling (ENM) to estimate the current suitable spatial distribution for the parasite in Gansu province. Then, we imported the resulting current niche model into future global Shared Socioeconomic Pathways scenarios for estimation of future suitable habitat areas. RESULTS Between 2000 to 2020, 625 hospitalized HE patients (51% men and 49% women) were identified, and 48.32 ± 15.62 years old. The average cost of hospitalization expenses per case of HE in Gansu Province was ¥24,370.2 with an increasing trend during the study period and was negative with different counties' corresponding gross domestic product (GDP). The trend of livestock losses was similar to the average cost of hospitalization expenses from 2015 to 2017. The three factors with the strongest correlation to echinococcosis infection probability were (1) global land cover (GLC, 56.6%), (2) annual precipitation (Bio12, 21.2%), and (3) mean temperature of the Wettest Quarter (Bio12, 8.5% of variations). We obtained a robust model that provides detail on the distribution of suitable areas for Echinococcus spp. including areas that have not been reported for the parasite. An increasing tendency was observed in the highly suitable areas of Echinococcus spp. indicating that environmental changes would affect the distributions. CONCLUSION This study may help in the development of policies for at-risk populations in geographically defined areas and monitor improvements in HE control strategies by allowing targeted allocation of resources, including spatial analyses of expenditure and the identification of non-endemic areas or risk for these parasites, and a better comprehension of the role of the environment in clarifying the transmission dynamics of Echinococcus spp. Raising healthcare workers' and travelers' disease awareness and preventive health habits is an urgent agenda. Due to unpredictable future land cover types, prediction of the future with only climatic variables involved needs to be treated cautiously.
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Affiliation(s)
- Xiaoyu Di
- grid.32566.340000 0000 8571 0482Department of Pathogenic Biology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China ,grid.411294.b0000 0004 1798 9345The Second Hospital of Lanzhou University, Lanzhou, China
| | - Shuo Li
- grid.32566.340000 0000 8571 0482Department of Pathogenic Biology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China ,grid.411294.b0000 0004 1798 9345The Second Hospital of Lanzhou University, Lanzhou, China
| | - Bin Ma
- grid.32566.340000 0000 8571 0482Department of Pathogenic Biology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China ,grid.411294.b0000 0004 1798 9345The Second Hospital of Lanzhou University, Lanzhou, China
| | - Xiaofan Di
- grid.32566.340000 0000 8571 0482Department of Pathogenic Biology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China ,grid.411294.b0000 0004 1798 9345The Second Hospital of Lanzhou University, Lanzhou, China
| | - Yuhao Li
- grid.32566.340000 0000 8571 0482Department of Pathogenic Biology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - Bei An
- grid.32566.340000 0000 8571 0482Department of Pathogenic Biology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - Wenwen Jiang
- grid.411294.b0000 0004 1798 9345Laboratory Medicine Center, The Second Hospital of Lanzhou University, Lanzhou, China
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Tao J, Du X, Liu K, Wang C, Lv Y, Wang M, Yang Z, Yang J, Li S, Wu C, Li M, Zhao W. Clinical characteristics and antibodies against Echinococcus granulosus recombinant antigen P29 in patients with cystic echinococcosis in China. BMC Infect Dis 2022; 22:609. [PMID: 35820830 PMCID: PMC9275268 DOI: 10.1186/s12879-022-07597-8] [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: 05/03/2022] [Accepted: 07/04/2022] [Indexed: 11/17/2022] Open
Abstract
Objectives Cystic echinococcosis (CE) is a neglected parasitic zoonotic disease caused by the larval stage of the tapeworm Echinococcus granulosus (E. granulosus). This study aimed to understand the clinical characteristics of human CE in Ningxia Hui Autonomous Region (NHAR) located in northwest China and to investigate the antibody profiles against the recombinant E. granulosus antigen P29 (rEg.P29) in plasma of CE patients. Methods A total of 37 human CE patients, along with 37 healthy donors enrolled in this study and demographic and clinical data were analyzed, including age, gender, laboratory data, symptoms, and cysts description. Plasma levels of cytokines, total IgG, and total IgE were determined by sandwich ELISA kits. Specific antibodies against rEg.P29 and hydatid cyst fluid (HCF) were assessed by indirect ELISA. Results The results revealed that females have a higher percentage of CE patients than males. The incidence of CE reached a peak in the 41–50 years-old group. The liver was the most frequent location, accounting for 91.9%. Based on the CT images, cysts of 34 patients who had liver involvement, were classified as 1 (2.9%) CE1, 12 (35.3%) CE2, 5 (14.7%) CE3a, 1 (2.9%) CE3b, and 15 (44.2%) CE5. Twenty-nine (78.4%) patients had a single cyst and 8 (21.6%) had at least two cysts. The most frequently reported symptom was upper abdominal pain. The plasma level of IL-6 and total IgE were significantly increased in CE patients compared with healthy donors. Additionally, IgG response to rEg.P29 in CE patients was significantly higher than in healthy donors, and the dominant IgG subclass was IgG4. Further analysis of different patient groups revealed that rEg.P29-specific IgG and IgG4 were only elevated in CE patients with CE2 type cysts. Conclusions This study systematically investigated the clinical characteristics of patients with CE and may provide a reference basis for the diagnosis and treatment of CE in NHAR. Furthermore, tests of specific IgG and IgG4 against rEg.P29 can be used as an assisted method for imaging techniques to identify cystic activity and determine the best therapeutic approach for CE.
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Affiliation(s)
- Jia Tao
- School of Basic Medical Sciences, Ningxia Medical University, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China.,Ningxia Key Laboratory of Prevention and Control of Common Infectious Diseases, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China
| | - Xiancai Du
- School of Basic Medical Sciences, Ningxia Medical University, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China.,Ningxia Key Laboratory of Prevention and Control of Common Infectious Diseases, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China
| | - Kejun Liu
- Department of Hepatobiliary Surgery, General Hospital of Ningxia Medical University, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China
| | - Chan Wang
- School of Basic Medical Sciences, Ningxia Medical University, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China.,Ningxia Key Laboratory of Prevention and Control of Common Infectious Diseases, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China
| | - Yongxue Lv
- School of Basic Medical Sciences, Ningxia Medical University, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China.,Ningxia Key Laboratory of Prevention and Control of Common Infectious Diseases, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China
| | - Minglei Wang
- Department of Radiology, General Hospital of Ningxia Medical University, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China
| | - Zhiqi Yang
- Department of Hepatobiliary Surgery, People's Hospital of Ningxia Hui Autonomous Region, Jinfeng, Yinchuan, 750021, Ningxia Hui Autonomous Region, China
| | - Jihui Yang
- School of Basic Medical Sciences, Ningxia Medical University, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China.,Ningxia Key Laboratory of Prevention and Control of Common Infectious Diseases, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China
| | - Shasha Li
- School of Basic Medical Sciences, Ningxia Medical University, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China.,Ningxia Key Laboratory of Prevention and Control of Common Infectious Diseases, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China
| | - Changyou Wu
- Institute of Immunology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 5102275, Guangdong, China
| | - Minghao Li
- The Third School of Clinical Medicine, Ningxia Medical University, Jinfeng, Yinchuan, Ningxia Hui Autonomous Region, 750021, China. .,Ningxia Key Laboratory of Prevention and Control of Common Infectious Diseases, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China. .,Department of Hepatobiliary Surgery, People's Hospital of Ningxia Hui Autonomous Region, Jinfeng, Yinchuan, 750021, Ningxia Hui Autonomous Region, China.
| | - Wei Zhao
- School of Basic Medical Sciences, Ningxia Medical University, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China. .,Ningxia Key Laboratory of Prevention and Control of Common Infectious Diseases, Xingqing, Yinchuan, 750003, Ningxia Hui Autonomous Region, China.
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Yin J, Wu X, Li C, Han J, Xiang H. The impact of environmental factors on human echinococcosis epidemics: spatial modelling and risk prediction. Parasit Vectors 2022; 15:47. [PMID: 35130957 PMCID: PMC8822772 DOI: 10.1186/s13071-022-05169-y] [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: 10/14/2021] [Accepted: 01/18/2022] [Indexed: 11/14/2022] Open
Abstract
Background Human echinococcosis is affected by natural environmental factors, and its prevalence shows a distinct geographical distribution. Western China has the highest endemicity of human echinococcosis worldwide, but the spatial pattern and environmental determinants of echinococcosis are still unclear. Methods Hot/cold spot analysis was used to investigate the spatial distribution of human echinococcosis prevalence. Geodetector was used to identify key natural factors, and a structured additive regression model was used to analyse the relationship between natural factors and human echinococcosis prevalence and spatially predict echinococcosis epidemics. Results Hot spots for human echinococcosis prevalence include western and southeastern parts of Tibet Autonomous Region (henceforth Tibet) and the border areas between Tibet and the provinces of Qinghai and Sichuan. Spatial effects are crucial when modelling epidemics, and relative humidity, altitude and grassland area ratio were found to have the most evident effects on echinococcosis epidemics. The relationship between these three factors and echinococcosis prevalence was non-linear, and echinococcosis risk was higher in areas with high relative humidity, high altitude, and a high ratio of grassland to other land use types. The prevalence that was predicted from the investigated environmental factors was generally higher than the actual prevalence, and more epidemic hot spots were predicted for the Qinghai-Tibet Plateau, Inner Mongolia Autonomous Region, and the provinces of Yunnan and Sichuan than the rest of western China. These results indicate that prevention and control measures may effectively reduce echinococcosis prevalence. Conclusions We suggest that the prevention and control of human echinococcosis should be prioritized in the hot spots identified here, through the rational allocation of limited medical resources to where they are most needed. Furthermore, the spatial epidemiological modelling methods used in this study can be employed in future studies on echinococcosis and similar diseases. Graphical abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s13071-022-05169-y.
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Affiliation(s)
- Jie Yin
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian District, Beijing, 100875, China
| | - Xiaoxu Wu
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian District, Beijing, 100875, China.
| | - Chenlu Li
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian District, Beijing, 100875, China
| | - Jiatong Han
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian District, Beijing, 100875, China
| | - Hongxu Xiang
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian District, Beijing, 100875, China
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Suwannatrai AT, Thinkhamrop K, Suwannatrai K, Pratumchart K, Wangdi K, Kelly M, Restrepo AMC, Gray DJ, Clements ACA, Tangkawattana S, Sripa B. Opisthorchis viverrini and Strongyloides stercoralis mono- and co-infections: Bayesian geostatistical analysis in an endemic area, Thailand. Acta Trop 2021; 223:106079. [PMID: 34363777 DOI: 10.1016/j.actatropica.2021.106079] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 07/25/2021] [Accepted: 07/27/2021] [Indexed: 12/19/2022]
Abstract
Parasitic infections caused by Opisthorchis viverrini and Strongyloides stercoralis remain a major public health threat in the Greater Mekong Sub-region. An understanding of climate and other environmental influences on the geographical distribution and emergence of parasitic diseases is a crucial step to guide targeted control and prevention programs. A parasitological survey was conducted from 2008 to 2013 and included 12,554 individuals (age between 20 and 60 years) from 142 villages in five districts in Khon Kaen Province, Thailand. Geographical information systems, remote sensing technologies and a Bayesian geostatistical framework were used to develop models for O. viverrini and S. stercoralis mono- and co-infections in areas where both parasites are known to co-occur. The results indicate that male sex, increased age, altitude, precipitation, and land surface temperature have influenced the infection rate and geographical distribution of mono- and co-infections of O. viverrini and S. stercoralis in this area. Males were 6.69 times (95% CrI: 5.26-8.58) more likely to have O. viverrini - S. stercoralis co-infection. We observed that O. viverrini and S. stercoralis mono-infections display distinct spatial pattern, while co-infection is predicted in the center and southeast of the study area. The observed spatial clustering of O. viverrini and S. stercoralis provides valuable information for the spatial targeting of prevention interventions in this area.
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Affiliation(s)
- Apiporn T Suwannatrai
- Department of Parasitology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Health and Epidemiology Geoinformatics Research (HEGER), Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.
| | - Kavin Thinkhamrop
- Health and Epidemiology Geoinformatics Research (HEGER), Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand; Cholangiocarcinoma Screening and Care Program (CASCAP), Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Data Management and Statistical Analysis Center (DAMASAC), Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand
| | - Kulwadee Suwannatrai
- Department of Biology, Faculty of Science and Technology, Sakon Nakhon Rajabhat University, Sakon Nakhon, Thailand
| | - Khanittha Pratumchart
- Department of Parasitology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Health and Epidemiology Geoinformatics Research (HEGER), Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand
| | - Kinley Wangdi
- Department of Global Health, Research School of Population Health, College of Medicine, Biology and Environment, The Australian National University, Canberra, Australian Capital Territory, Australia
| | - Matthew Kelly
- Department of Global Health, Research School of Population Health, College of Medicine, Biology and Environment, The Australian National University, Canberra, Australian Capital Territory, Australia
| | - Angela M Cadavid Restrepo
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Darren J Gray
- Department of Global Health, Research School of Population Health, College of Medicine, Biology and Environment, The Australian National University, Canberra, Australian Capital Territory, Australia
| | - Archie C A Clements
- Faculty of Health Sciences, Curtin University, Bentley, Western Australia, Australia; Telethon Kids Institute, Nedlands, WA, Australia
| | | | - Banchob Sripa
- WHO Collaborating Centre for Research and Control of opisthorchiasis, Tropical Disease Research Center, Department of Pathology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
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Fu MH, Wang X, Han S, Guan YY, Bergquist R, Wu WP. Advances in research on echinococcoses epidemiology in China. Acta Trop 2021; 219:105921. [PMID: 33878307 DOI: 10.1016/j.actatropica.2021.105921] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 04/10/2021] [Accepted: 04/12/2021] [Indexed: 12/11/2022]
Abstract
Echinococcoses are serious zoonotic diseases in China's vast, western and north-western pastoral areas that has one of the highest prevalence in the world. The two most common forms, cystic echinococcosis (CE) and alveolar echinococcosis (AE), are co-epidemic in some areas causing a grave threat to people's health and economic development. Echinococcus spp. are transmitted through domestic, sylvatic and mixed cycles involving many kinds of host. Successful transmission requires a favourable environment for the growth of the parasites and survival of their eggs, while the unique customs and religious beliefs in the endemic areas pose a challenge to the prevention and control of these parasites. Based on previous epidemiological studies, this paper reviews the particular factors affecting the transmission of Echinococcus parasites in China, with a focus on biological (parasite genotype and the species, age, sex and density of hosts), environmental (landscape and climate) and social (age, gender, ethnicity, education, occupation, life style, cultural customs, living conditions and hygiene practices of humans in the endemic areas). These three factors interact with each other and jointly determine the parasites' transmission intensity, the study of which supports the formulation of the strategies and measures that are significant for control of these infections.
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Ma T, Jiang D, Hao M, Fan P, Zhang S, Quzhen G, Xue C, Han S, Wu W, Zheng C, Ding F. Geographical Detector-based influence factors analysis for Echinococcosis prevalence in Tibet, China. PLoS Negl Trop Dis 2021; 15:e0009547. [PMID: 34252103 PMCID: PMC8297938 DOI: 10.1371/journal.pntd.0009547] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 07/22/2021] [Accepted: 06/08/2021] [Indexed: 11/19/2022] Open
Abstract
Echinococcosis, caused by genus Echinococcus, is the most pathogenic zoonotic parasitic disease in the world. In Tibet of the People's Republic of China, echinococcosis refers principally to two types of severe zoonosis, cystic echinococcosis (CE) and alveolar echinococcosis (AE), which place a serious burden on public health and economy in the local community. However, research on the spatial epidemiology of echinococcosis remains inadequate in Tibet, China. Based on the recorded human echinococcosis data, maps of the spatial distribution of human CE and AE prevalence in Tibet were produced at city level and county level respectively, which show that the prevalence of echinococcosis in northern and western Tibet was much higher than that in other regions. We employ a geographical detector to explore the influencing factors for causing CE and AE while sorting information on the maps of disease prevalence and environment factors (e.g. terrain, population, and yak population). The results of our analysis showed that biological factors have the most impact on the prevalence of echinococcosis, of which the yak population contributes the most for CE, while the dog population contributes the most for AE. In addition, the interaction between various factors, as we found out, might further explain the disease prevalence, which indicated that the echinococcosis prevalence is not simply affected by one single factor, but by multiple factors that are correlated with each other complicatedly. Our results will provide an important reference for the evaluation of the echinococcosis risk, control projects, and prevention programs in Tibet.
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Affiliation(s)
- Tian Ma
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Dong Jiang
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing, China
| | - Mengmeng Hao
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Peiwei Fan
- Department of Geological Engineering and Environment, China University of Mining and Technology, Beijing, China
| | - Shize Zhang
- Computer Network Information Center, Chinese Academy of Sciences, Beijing, China
| | - Gongsang Quzhen
- Tibet Autonomous Region Center for Diseases Control and Prevention, Lhasa, Tibet Autonomous Region, China
- National Health Council Key Laboratory of Echinococcosis Prevention and Control, Lhasa, Tibet Autonomous Region, China
| | - ChuiZhao Xue
- 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, MOH, Shanghai, China
| | - Shuai Han
- 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, MOH, Shanghai, China
| | - WeiPing Wu
- 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, MOH, Shanghai, China
| | - Canjun Zheng
- Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Fangyu Ding
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
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Guo B, Zhang Z, Guo Y, Guo G, Wang H, Ma J, Chen R, Zheng X, Bao J, He L, Wang T, Qi W, Tian M, Wang J, Zhou C, Giraudoux P, Marston CG, McManus DP, Zhang W, Li J. High endemicity of alveolar echinococcosis in Yili Prefecture, Xinjiang Autonomous Region, the People's Republic of China: Infection status in different ethnic communities and in small mammals. PLoS Negl Trop Dis 2021; 15:e0008891. [PMID: 33465089 PMCID: PMC7845998 DOI: 10.1371/journal.pntd.0008891] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 01/29/2021] [Accepted: 10/15/2020] [Indexed: 11/19/2022] Open
Abstract
Alveolar echinococcosis (AE) is a life-threatening disease in humans caused by the larval stage of Echinococcus multilocularis. The tapeworm is transmitted between small mammals and dogs/foxes in the Northern Hemisphere. In this study 286 AE cases were reported from eight counties and one city in Yili Prefecture, Xinjiang Autonomous Region, the People's Republic of China from 1989 to 2015 with an annual incidence (AI) of 0.41/100,000. Among the patients, 73.08% were diagnosed in the last 11 years. Four counties in the high mountainous areas showed higher AI (0.51-1.22 cases/100,000 residents) than the four counties in low level areas (0.19-0.29/100,000 residents). The AI of AE in Mongolian (2.06/100,000 residents) and Kazak (0.93/100,000 residents) ethnic groups was higher than the incidence in other ethnic groups indicating sheep-farming is a risk for infection given this activity is mainly practiced by these two groups in the prefecture. A total of 1411 small mammals were captured with 9.14% infected with E. multilocularis metacestodes. Microtus obscurus was the dominant species in the mountain pasture areas with 15.01% of the voles infected, whereas Mus musculus and Apodemus sylvaticus were the dominant small mammals in the low altitude areas. Only 0.40% of A. sylvaticus were infected with E. multilocularis. PCR amplification and sequencing analysis of the mitochondrial cox1 gene showed that E. multilocularis DNA sequences from the small mammals were identical to isolates of local human AE cases. The overall results show that Yili Prefecture is a highly endemic area for AE and that the high-altitude pasture areas favorable for M. obscurus may play an important role in its transmission in this region.
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Affiliation(s)
- Baoping Guo
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, and WHO-Collaborating Centre for Prevention and Care Management of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Zhuangzhi Zhang
- Veterinary Research Institute, Xinjiang Academy of Animal Sciences, Urumqi, Xinjiang, China
| | - Yongzhong Guo
- The Friendship Hospital of Yili Kazak Autonomous Prefecture, Yining, Xinjiang, China
| | - Gang Guo
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, and WHO-Collaborating Centre for Prevention and Care Management of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Haiyan Wang
- Chabuchaer Center for Disease Control and Prevention, Chabuchaer, Xinjiang, China
| | - Jianjun Ma
- Xinyuan Center for Disease Control and Prevention, Xinyuan, Xinjiang, China
| | - Ronggui Chen
- Yili Center for Animal Disease Control and Prevention, Yining, Xinjiang, China
| | - Xueting Zheng
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, and WHO-Collaborating Centre for Prevention and Care Management of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Jianling Bao
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, and WHO-Collaborating Centre for Prevention and Care Management of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Li He
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, and WHO-Collaborating Centre for Prevention and Care Management of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Tian Wang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, and WHO-Collaborating Centre for Prevention and Care Management of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Wenjing Qi
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, and WHO-Collaborating Centre for Prevention and Care Management of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Mengxiao Tian
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, and WHO-Collaborating Centre for Prevention and Care Management of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Junwei Wang
- Veterinary Research Institute, Xinjiang Academy of Animal Sciences, Urumqi, Xinjiang, China
| | - Canlin Zhou
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, and WHO-Collaborating Centre for Prevention and Care Management of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Patrick Giraudoux
- Chrono-environment lab, UMR6249, University of Franche-Comte and CNRS, Besancon, France
| | | | - Donald P. McManus
- Molecular Parasitology Laboratory, Infectious Diseases Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Wenbao Zhang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, and WHO-Collaborating Centre for Prevention and Care Management of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
- * E-mail: (WZ); (JL)
| | - Jun Li
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, and WHO-Collaborating Centre for Prevention and Care Management of Echinococcosis, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
- * E-mail: (WZ); (JL)
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Prediction and Identification of Epitopes in the Emy162 Antigen of Echinococcus multilocularis. Acta Parasitol 2020; 65:919-928. [PMID: 32542510 DOI: 10.2478/s11686-020-00231-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 05/14/2020] [Indexed: 12/20/2022]
Abstract
INTRODUCTION Alveolar echinococcosis (AE) is a zoonotic disease caused by the parasitism of Echinococcus multilocularis larvae in the intermediate host or the final host. This study aims to identify and analyze the B-cell and T-cell (Th1, Th2 and Th17) epitopes of E. multilocularis antigen Emy162. METHODS (1) The secondary structural characteristics of the Emy162 protein were predicted by bioinformatics software to further predict the potential T- and B-cell epitopes. (2) The dominant antigen epitopes were detected by ELISA through the reaction of patient serum with small B-cell antigen peptide and assessing the proliferation of splenic lymphocytes of mice immunized with Emy162. (3) The expression of cytokines in splenic lymphocytes of mice stimulated by small T-cell antigen peptides was detected by ELISA, ELISpot and flow cytometry to enable the identification of the T-cell epitopes. RESULTS (1) The high-scored T-cell epitopes were located at positions E7-13, E36-41, E80-89, E87-96, E97-106 and E129-139, while B-cell epitopes were located at positions E7-13, E19-27, E28-36, E37-48, E78-83, E101-109, E112-121 and E129-139. (2) The three advanced antigen epitopes of Emy162 were E19-27, E112-121 and E129-139. (3) The four Th1 advanced antigen epitopes of Emy162 were E7-13, E36-41, E80-89 and E129-139. The three Th2 advanced antigen epitopes were E36-41, E87-96 and E97-106. The three Th17 advanced antigen epitopes were E36-41, E87-96 and E97-106. CONCLUSION (1) The Emy162 protein has advanced antigenicity and numerous potential epitopes. Six T-cell and eight B-cell dominant epitopes were revealed using bioinformatics methods. (2) There are three dominant B-cell epitopes, four dominant Th1 epitopes, three dominant Th2 epitopes, and three dominant Th17 epitopes in the Emy162 antigen.
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Fischer I, Graeter T, Kratzer W, Stark K, Schlingeloff P, Schmidberger J. Distribution of alveolar echinococcosis according to environmental and geographical factors in Germany, 1992-2018. Acta Trop 2020; 212:105654. [PMID: 32783956 DOI: 10.1016/j.actatropica.2020.105654] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 08/08/2020] [Indexed: 12/11/2022]
Abstract
Alveolar echinococcosis (AE) is a rare zoonotic disease caused by the larval stage of Echinococcus multilocularis. Despite its low world-wide prevalence, this disease shows differences in the regional distribution of cases. In the present cohort study, we analyse the distribution of AE according to environmental and geographical factors in Germany. We identified the place of residence of 591 cases of AE from the national database for AE, and georeferenced these localities in the Universal Transverse Mercator coordinate system. Data on elevation, air temperature, precipitation height and land cover were mapped out and correlated with the distribution of cases of disease during the period 1992-2018. Moran's I statistic was used for spatial autocorrelation. Differences in frequency distribution between elevation, air temperature, precipitation height and landscape feature classes were analysed with the Kruskal-Wallis test. With the multiple linear regression analysis, we determined the influences and interactions of geographical and climatic factors on the number of AE cases. The results showed a heterogeneous distribution of AE cases with a higher concentration in southern Germany than in the rest of Germany (I = 0.225517, Z = 35.8182 and p < 0.001). There was a statistically significant difference in frequency distribution between precipitation height, air temperature, elevation and landscape feature classes and AE cases in Germany (p < 0.0001). In regions with higher elevations (505-672 m), moderate average air temperatures (6.0-7.9°C) and higher precipitation rates (701-1000 mm) most AE cases were recorded. It seems, that regions with higher precipitation rates, higher elevations and moderate average air temperatures have a higher infection burden and infection conditions. It is therefore extremely important to generate greater awareness of the disease in these regions, with the aim of recognising potential cases of AE as early as possible and introducing the appropriate therapeutic measures.
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Affiliation(s)
- Iris Fischer
- Department of Internal Medicine I, Ulm University Hospital, 89081 Ulm, Germany
| | - Tilmann Graeter
- Department of Diagnostic and Interventional Radiology, Ulm University Hospital, 89081 Ulm, Germany
| | - Wolfgang Kratzer
- Department of Internal Medicine I, Ulm University Hospital, 89081 Ulm, Germany
| | - Klaus Stark
- Department of Infectious Disease Epidemiology, Robert Koch-Institute, 13353 Berlin, Germany
| | | | - Julian Schmidberger
- Department of Internal Medicine I, Ulm University Hospital, 89081 Ulm, Germany.
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15
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Zeng X, Guan Y, Wu W, Wang L, Cai H, Fang Q, Yu S, Zheng C. Analysis of Factors Influencing Cystic Echinococcosis in Northwest Non-Qinghai Tibetan Plateau Regions of China. Am J Trop Med Hyg 2020; 102:567-573. [PMID: 31933454 DOI: 10.4269/ajtmh.18-0703] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Cystic echinococcosis (CE) is an important health problem in northwest non-Qinghai Tibetan Plateau regions of China. Understanding CE risk factors may help in formulating effective prevention and control measures. In the current study, negative binomial regression was used to analyze CE-related factors using prevalence data from 147 counties (cities, districts, and banners) in northwest non-Qinghai Tibetan Plateau regions of China gathered from a national survey conducted in 2012, county economic data, and livestock production data for 2012. The negative binomial regression models indicated Echinococcus granulosus infection rate in livestock (odds ratio [OR]: 1.0471, 95% CI: 1.0128-1.0825, P = 0.0067), the mean number of dogs per family (OR: 3.0589, 95% CI: 1.5116-6.1900, P = 0.0019), the mean number of sheep per family (OR: 1.0431, 95% CI: 1.0027-1.0852, P = 0.0365), and the source of drinking water (OR: 0.9808, 95% CI: 0.9627-0.9992, P = 0.0413) were correlated with human CE prevalence, whereas altitude, surface temperature, economy, and mean number of cattle per family had a negative association. We found that the positive rate of dog stool coproantigen of Echinococcus was associated with human CE prevalence using the univariate analysis but not after controlling for covariates including the number of dogs per family. This might be partially due to the deworming campaigns that were carried out in most of the researched areas. Therefore, the positive rate of dog stool coproantigen of Echinococcus could not reflect the dog infection rate under natural conditions. These findings indicate that dogs and livestock play the most important role in CE transmission. Further studies should be carried out at the township or village level.
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Affiliation(s)
- Xiangman Zeng
- National Institute of Parasitic Disease China CDC, Shanghai, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, China.,Chinese Center for Tropical Diseases Research, Shanghai, China.,HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, China.,National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, China
| | - Yayi Guan
- Chinese Center for Tropical Diseases Research, Shanghai, China.,National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, China.,National Institute of Parasitic Disease China CDC, Shanghai, China
| | - Weiping Wu
- Chinese Center for Tropical Diseases Research, Shanghai, China.,National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, China.,WHO Collaborating Centre for Tropical Diseases, Shanghai, China.,National Institute of Parasitic Disease China CDC, Shanghai, China
| | - Liying Wang
- WHO Collaborating Centre for Tropical Diseases, Shanghai, China.,National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, China.,Chinese Center for Tropical Diseases Research, Shanghai, China.,National Institute of Parasitic Disease China CDC, Shanghai, China
| | - Huixia Cai
- Department of Parasite Control, Qinghai Provincial Institute for Endemic Diseases Prevention and Control, Xining, China
| | - Qi Fang
- WHO Collaborating Centre for Tropical Diseases, Shanghai, China.,National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, China.,Chinese Center for Tropical Diseases Research, Shanghai, China.,National Institute of Parasitic Disease China CDC, Shanghai, China
| | - Shicheng Yu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Canjun Zheng
- Chinese Center for Disease Control and Prevention, Beijing, China
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16
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Lass A, Szostakowska B, Kontogeorgos I, Korzeniewski K, Karamon J, Sulima M, Karanis P. First detection of Echinococcus multilocularis in environmental water sources in endemic areas using capsule filtration and molecular detection methods. WATER RESEARCH 2019; 160:466-474. [PMID: 31174074 DOI: 10.1016/j.watres.2019.05.050] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 05/14/2019] [Accepted: 05/17/2019] [Indexed: 06/09/2023]
Abstract
Water is one of the possible transmission routes for water- and foodborne parasites to humans. Echinococcus multilocularis is a parasite, which causes alveolar echinococcosis (AE). Nevertheless, no environmental studies have been performed as yet to confirm the occurrence of E. multilocularis in water supplies. Accordingly, 105 water samples of 50 L volume were collected from surface waters (lakes, rivers, canals) and wells in the Warmia-Masuria Province (Echinococcus endemic area) and Pomerania Province (Echinococcus non-endemic area), Poland. The water was filtered and subsequently analysed with nested PCR and real-time PCR. E. multilocularis DNA was found in two (1.9%) samples, which originated from two lakes localised in the Warmia-Masuria Province. Sequencing of the positive samples confirmed that the PCR products were fragments of the E. multilocularis mitochondrial 12S rRNA gene. This is the first investigation describing E. multilocularis detection in environmental water samples, using molecular diagnostic tools. The results indicate that water could be considered as a potential source of E. multilocularis infections in humans and animals, in endemic areas.
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Affiliation(s)
- Anna Lass
- Department of Tropical Parasitology, Institute of Maritime and Tropical Medicine in Gdynia, Medical University of Gdansk, 9b Powstania Styczniowego St., 81-519, Gdynia, Poland.
| | - Beata Szostakowska
- Department of Tropical Parasitology, Institute of Maritime and Tropical Medicine in Gdynia, Medical University of Gdansk, 9b Powstania Styczniowego St., 81-519, Gdynia, Poland.
| | - Ioannis Kontogeorgos
- Marine Sciences Department, School of Environment, University of the Aegean, University Hill, 88 100, Mytilene, Greece.
| | - Krzysztof Korzeniewski
- Epidemiology and Tropical Medicine Department in Gdynia, Military Institute of Medicine in Warsaw, 4 Grudzinskiego St., 81-103, Gdynia, Poland.
| | - Jacek Karamon
- Department of Parasitology and Invasive Diseases, National Veterinary Research Institute, 57 Partyzantów St., 24-100, Puławy, Poland.
| | - Małgorzata Sulima
- Department of Tropical and Parasitic Diseases, Institute of Maritime and Tropical Medicine in Gdynia, Medical University of Gdansk, 9b Powstania Styczniowego St., 81-519, Gdynia, Poland.
| | - Panagiotis Karanis
- State Key Laboratory of Plateau Ecology and Agriculture, Center for Biomedicine and Infectious Disease, Qinghai University, 1#Wei'er Road, Qinghai Biological Scientific Estate Garden, 810016, Xining, Qinghai, PR China; Cologne University, Medical Faculty and University Hospital, Cologne, Germany.
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17
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Fasihi Karami M, Rafiei A, Raiesi O, Getso M, Akhlaghi E, Jalali P, Shayanfard M, Beigzadeh E, Arbat SK, Mirabedini Z, Raissi V. The Relation between Toxocariasis and Toxoplasmosis co-infection and the presence of Rheumatoid Factor (RF) in people with hydatidosis in Southwestern Iran, from 2013 to 2018. J Parasit Dis 2019; 43:379-384. [PMID: 31406402 DOI: 10.1007/s12639-019-01101-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 02/26/2019] [Indexed: 12/13/2022] Open
Abstract
Toxoplasmosis, toxocariasis, and hydatidosis are parasite diseases with a very human-like pathway of infection. worldwide including Iran, there are infected people with these infections. Between 2013 and 2018, serum samples were collected from 124 patients with hydatidosis and 124 serums from hydatidiosis free. Samples were examined for the presence of toxocariasis by detecting IgG antibodies, using the ELISA (Enzyme-Linked Immunosorbent Assay) IBL kit and for the presence of IgG antibodies for toxoplasmosis, using the ELISA test. Risk factors such as contact with animal pets; cats and dogs, rural or urban living, age, sex, and Presence of rheumatoid factor (RF) in serum were investigated during the study. The presence of RF was examined using an agglutination test in all confirmed cases of hydatidosis, toxocariasis, and toxoplasmosis. Of the 124 positive cases of hydatidosis, 30 (24.2%), 51 (41.1%) and 15 (12.09%) had toxoplasmosis, toxocariasis and simultaneous infection (toxoplasmosis and toxocariasis), respectively. In people with toxocariasis, rheumatoid factor was reported more frequently than in other cases. The relationship between the prevalence of rheumatoid factor in serum in people with toxocariasis was significant (41.18%). Interaction with dogs and cats and area of residence were identified as risk factors for toxocariasis (P value > 0.005). Although hydatidosis and toxocariasis are Less common infections compare with toxoplasmosis, they are considered a threat to public health in some parts of the world, including Iran. Some factors, such as habitat and interaction with animal pets (dogs and cats), play a more significant role in toxocariasis compared to toxoplasmosis in people with hydatidosis.
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Affiliation(s)
- Maryam Fasihi Karami
- 1Department of Medical Parasitology and Mycology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Abdollah Rafiei
- 1Department of Medical Parasitology and Mycology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.,2Health Research Institute Infectious and Tropical Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Omid Raiesi
- 3Department of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Muhammad Getso
- 3Department of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.,4Department of Medical Microbiology and Parasitology, College of Health Sciences, Bayero University, 3011 Kano, Nigeria
| | - Elham Akhlaghi
- 5Department of Medical Parasitology and Mycology, Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Pantea Jalali
- 6Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Mahdi Shayanfard
- Department of Microbiology, Qom Branch, Islamic Azad University, Qom, Iran
| | - Ehsan Beigzadeh
- 8Department of Information Technology, School of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahwaz, Iran
| | - Shirin Khodabakhsh Arbat
- 9Department of Medical Parasitology and Mycology, Faculty of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Zahra Mirabedini
- 3Department of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Raissi
- 3Department of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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18
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Huang D, Li R, Qiu J, Sun X, Yuan R, Shi Y, Qu Y, Niu Y. Geographical Environment Factors and Risk Mapping of Human Cystic Echinococcosis in Western China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15081729. [PMID: 30103558 PMCID: PMC6121593 DOI: 10.3390/ijerph15081729] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 08/03/2018] [Accepted: 08/03/2018] [Indexed: 12/13/2022]
Abstract
The study aimed to reveal the risk factors and predict the prevalence of human cystic echinococcosis (CE) in Western China. To do this, we analyzed county-wide data relating to the prevalence of human CE in seven provinces of Western China, along with associated human, natural geographical environmental data. We then used spatial analysis and multiple regression analysis to investigate the correlation between the prevalence of human CE and associated environmental factors and to create a risk map of the disease in the seven provinces. Our analysis showed that grassland area ratio and Tibetan population ratio were independent variables positively correlated with the prevalence of human CE and that gross domestic product (GDP) and land surface temperature (LST; Spring) were negative independent variables. We also created a predictive risk map of human CE that revealed that the high-risk areas were mainly located in the south of Qinghai, the Northwest of Sichuan and most of the Tibet Autonomous Region. Knowledge of the spatial distribution and risk factors associated with human CE could help to prevent and control echinococcosis in China.
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Affiliation(s)
- Duan Huang
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China.
- University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Rendong Li
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China.
| | - Juan Qiu
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China.
| | - Xiangdong Sun
- China Animal Health and Epidemiology Center, Qingdao 266032, China.
| | - Ruixia Yuan
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 420000, China.
| | - Yuanyuan Shi
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China.
- University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Yubing Qu
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China.
- University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Yingnan Niu
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China.
- University of Chinese Academy of Sciences, Beijing 100049, China.
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