World-wide prevalence of Anisakis larvae in fish and its relationship to human allergic anisakiasis: a systematic review

Raouf-Rahmati, Amene; Kiani, Behzad; Afshari, Asma; Moghaddas, Elham; Williams, Michelle; Shamsi, Shokoofeh

doi:10.1007/s00436-020-06892-0

Cited by 66 publications

(36 citation statements)

References 60 publications

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“…However, according to recent studies, the prevalence of the disease is estimated to be much higher [7]; this discrepancy is linked to the nonspecificity of symptoms and the limitations of diagnostic tools. Furthermore, anisakiasis has become increasingly more important as human health risk, especially in regions where the consumption of raw or only lightly processed fish and seafood is frequent [1,8,9]. Therefore, the majority of anisakiasis cases are noted in Southeast Asia, while cases in Europe are less common and occur mainly in Spain and Italy [1].…”

Section: Introductionmentioning

confidence: 99%

Proteomic Profiling and In Silico Characterization of the Secretome of Anisakis simplex Sensu Stricto L3 Larvae

et al. 2022

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Anisakis simplex sensu stricto (s.s.) L3 larvae are one of the major etiological factors of human anisakiasis, which is one of the most important foodborne parasitic diseases. Nevertheless, to date, Anisakis secretome proteins, with important functions in nematode pathogenicity and host-parasite interactions, have not been extensively explored. Therefore, the aim of this study was to identify and characterize the excretory-secretory (ES) proteins of A. simplex L3 larvae. ES proteins of A. simplex were subjected to liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, and the identified proteins were then analyzed using bioinformatics tools. A total of 158 proteins were detected. Detailed bioinformatic characterization of ES proteins was performed, including Gene Ontology (GO) analysis, identification of enzymes, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis, protein family classification, secretory pathway prediction, and detection of essential proteins. Furthermore, of all detected ES proteins, 1 was identified as an allergen, which was Ani s 4, and 18 were potential allergens, most of which were homologs of nematode and arthropod allergens. Nine potential pathogenicity-related proteins were predicted, which were predominantly homologs of chaperones. In addition, predicted host-parasite interactions between the Anisakis ES proteins and both human and fish proteins were identified. In conclusion, this study represents the first global analysis of Anisakis ES proteins. The findings provide a better understanding of survival and invasion strategies of A. simplex L3 larvae.

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Section: Introductionmentioning

confidence: 99%

Proteomic Profiling and In Silico Characterization of the Secretome of Anisakis simplex Sensu Stricto L3 Larvae

et al. 2022

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“…However, spatial analyses of all mentioned risk factors are needed to provide evidence-based information to develop appropriate interventions in areas with high priority. Geospatial analysis that is conducted by the geographical information system (GIS) help researchers and policymakers to analyze, identify, and visualize geographical patterns of diseases [ 26 – 28 ]. Thus, in this study, we used GIS to link and quantify risk factors to describe and provide a geodatabase of the PERSIAN Organizational Cohort study [ 29 ], as a set of individual and socio-environmental factors, to determine the blood pressure level of people living in Mashhad City in 2018.…”

Section: Objectivementioning

confidence: 99%

A geodatabase of blood pressure level and the associated factors including lifestyle, nutritional, air pollution, and urban greenspace

et al. 2021

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Objectives Hypertension is a prevalent chronic disease globally. A multifaceted combination of risk factors is associated with hypertension. Scientific literature has shown the association among individual and environmental factors with hypertension, however, a comprehensive database including demographic, environmental, individual attributes and nutritional status has been rarely studied. Moreover, an integrated spatial-epidemiological approach has been scarcely researched. Therefore, this study aims to provide and describe a geodatabase including individual-based and socio-environmental data related to people living in the city of Mashhad, Iran in 2018. Data description The database has been extracted from the PERSIAN Organizational Cohort study in Mashhad University of Medical Sciences. The data note includes three shapefiles and a help file. The shapefile format is a digital vector storage format for storing geometric location and associated attribute information. The first shapefile includes the data of population, air pollutants and amount of available green space for each census block of the city. The second shapefile consists of aggregated blood pressure data to the census blocks of the city. The third shapefile comprises the individual characteristics data (i.e., demographic, clinical, and lifestyle). Finally, the fourth file is a guide to the previous data files for users.

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“…Known zoonotic genera are Anisakis spp., Contracaecum spp., Hysterothylacium spp., and Terranova spp. (Shamsi et al 2018;Rahmati et al 2020). For example, anisakiasis is a disease caused by thirdstage Anisakis spp.…”

Section: Introductionmentioning

confidence: 99%

Metazoan endoparasite fauna and feeding ecology of commercial fishes from Java, Indonesia

et al. 2022

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Despite being an important component of the marine ecosystem and posing health risks to human seafood consumers, fish parasites in Indonesia have yet to be adequately described. Here, we analyzed the diet and metazoan parasite fauna of seven commercial fish species (Alectis indica, Carangoides chrysophrys, Johnius borneensis, Mene maculata, Trichiurus lepturus, Upeneus asymmetricus, U. moluccensis) landed in Java, Indonesia. We isolated 11 endoparasite species, established 22 new host and 14 new locality records, and extended parasitological records of A. indica by 24%, C. chrysophrys by 25%, J. borneensis by 40%, M. maculata by 44%, U. asymmetricus by 100%, and U. moluccensis by 17%. We genetically identified the trematode Stephanostomum cf. uku (of Bray et al. 2005) from Alecta indica for the first time in Indonesia and provided the sequence of its 28S marker. Stomach content analysis revealed seven different prey items, and the examined fish species were grouped into four feeding categories, which differed significantly in their respective endoparasite fauna. All but two examined fish species hosted potentially zoonotic nematodes, which reveal a risk for parasite-borne diseases in Indonesian food fishes and call for more consequent monitoring with regard to seafood safety in this region. With this study, we were able to establish an association between the feeding ecology and the endoparasite fauna of marine fishes which will help to better understand the transmission pathways of (potentially zoonotic) parasites in food fishes in tropical waters.

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World-wide prevalence of Anisakis larvae in fish and its relationship to human allergic anisakiasis: a systematic review

Cited by 66 publications

References 60 publications

Proteomic Profiling and In Silico Characterization of the Secretome of Anisakis simplex Sensu Stricto L3 Larvae

Proteomic Profiling and In Silico Characterization of the Secretome of Anisakis simplex Sensu Stricto L3 Larvae

A geodatabase of blood pressure level and the associated factors including lifestyle, nutritional, air pollution, and urban greenspace

Metazoan endoparasite fauna and feeding ecology of commercial fishes from Java, Indonesia

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