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Identification of Plasmodium infection in cynomolgus macaque and rhesus macaque monkeys in Thailand forests

  • Mahidol University
  • National Science and Technology Development Agency (NSTDA)
  • Thailand Center of Excellence for Life Sciences (Public Organization) - TCELS (องค์การมหาชน) - ศลช.

Research output: Contribution to journalConference articlepeer-review

Abstract

Thailand is considered endemic for malaria. Recently, evidence was brought that humans can be infected by the simian Plasmodium namely P. cynomolgi and P. knowlesi. Therefore, the geographic range of positive malaria infection of non-human primates (NHPs), especially monkey species must be determined. The main objective of this study consisting of finding out how common malaria parasites are in monkey species. To achieve this, the researcher used quantitative PCR (qPCR) to detect overall Plasmodium spp., human and simian Plasmodium infection by using specific primers. A total of 472 monkey blood samples of cynomolgus macaque and rhesus macaque were collected from five different locations forests in Thailand. The analysis indicated that most of the samples were positive to different extents for Plasmodium infection regardless of the species of the parasite. As expected, the researcher did not detect any infection of monkeys by any of the human Plasmodium species. Furthermore, the researcher found many positive samples infected with P. cynomolgi and P. knowlesi. Surprisingly, mixed infection of P. cynomolgi and P. knowlesi occurred in 6 monkeys from three sampling sites. As result, the findings confirm P. cynomolgi and P. knowlesi-infected monkeys living in Thailand, suggesting high risk of zoonotic transmission of malaria.

Original languageEnglish
Article number020001
JournalAIP Conference Proceedings
Volume3155
Issue number1
DOIs
Publication statusPublished - 11 Jun 2024
Externally publishedYes
Event7th International Conference of Medical and Health Sciences, ICMHS 2023 - Yogyakarta, Indonesia
Duration: 9 Aug 202310 Aug 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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