Strongyloides in non-human primates: significance for public health control.
Eva NoskováKelly M SambucciKlára J PetrželkováBarbora ČervenáDavid ModrýBarbora PafčoPublished in: Philosophical transactions of the Royal Society of London. Series B, Biological sciences (2023)
Primates are an important source of infectious disease in humans. Strongyloidiasis affects an estimated 600 million people worldwide, with a global distribution and hotspots of infection in tropical and subtropical regions. Recently added to the list of neglected tropical diseases, global attention has been demanded in the drive for its control. Through a literature review of Strongyloides in humans and non-human primates (NHP), we analysed the most common identification methods and gaps in knowledge about this nematode genus. The rise of molecular-based methods for Strongyloides detection is evident in both humans and NHP and provides an opportunity to analyse all data available from primates. Dogs were also included as an important host species of Strongyloides and a potential bridge host between humans and NHP. This review highlights the lack of molecular data across all hosts-humans, NHP and dogs-with the latter highly underrepresented in the database. Despite the cosmopolitan nature of Strongyloides , there are still large gaps in our knowledge for certain species when considering transmission and pathogenicity. We suggest that a unified approach to Strongyloides detection be taken, with an optimized, repeatable molecular-based method to improve our understanding of this parasitic infection. This article is part of the Theo Murphy meeting issue ' Strongyloides : omics to worm-free populations'.
Keyphrases
- public health
- endothelial cells
- healthcare
- climate change
- electronic health record
- infectious diseases
- induced pluripotent stem cells
- big data
- emergency department
- case report
- escherichia coli
- genetic diversity
- machine learning
- working memory
- label free
- adverse drug
- cystic fibrosis
- candida albicans
- bioinformatics analysis