Effects of MAO-A and CYP450 on primaquine metabolism in healthy volunteers.

Author: AriffinNorliza Mat, IslahudinFarida, KumolosasiEndang, Makmor-BakryMohd

Paper Details 
Original Abstract of the Article :
Eliminating the Plasmodium vivax malaria parasite infection remains challenging. One of the main problems is its capacity to form hypnozoites that potentially lead to recurrent infections. At present, primaquine is the only drug used for the management of hypnozoites. However, the effects of primaqu...See full text at original site
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引用元:
https://doi.org/10.1007/s00436-019-06210-3

データ提供:米国国立医学図書館(NLM)

Primaquine Metabolism: A Genetic Odyssey in the Desert of Malaria

This research investigates the role of [genetic variation] in the metabolism of [primaquine], a crucial medication for treating [Plasmodium vivax malaria]. The researchers explored the influence of specific genes, including [MAO-A, CYP2D6, CYP1A2, and CYP2C19], on primaquine metabolism in healthy volunteers.

A Desert of Variability: Genetic Influences on Primaquine Metabolism

The study reveals that polymorphisms in the [MAO-A, CYP2D6, and CYP2C19] genes significantly influence primaquine metabolism, potentially affecting the drug's effectiveness in treating malaria. This is like discovering different oases in the desert, each offering a unique blend of resources (genetic variations) that can impact the journey (primaquine metabolism) through the desert (malaria infection).

A New Compass for Malaria Treatment: Personalized Dosing Based on Genetics

This research highlights the potential for personalized medicine in treating malaria. By understanding the genetic factors that influence primaquine metabolism, healthcare providers can tailor dosages to individual patients, ensuring optimal treatment outcomes. This approach, akin to using a personalized map to navigate a complex desert, can help us achieve a more targeted and effective treatment strategy for malaria.

Dr.Camel's Conclusion

This research underscores the importance of considering genetic variability in optimizing treatment for malaria. By recognizing the unique genetic landscape of each patient, we can develop a more personalized and effective approach to combating this debilitating disease.

Date :
  1. Date Completed 2019-04-16
  2. Date Revised 2020-02-25
Further Info :

Pubmed ID

30706164

DOI: Digital Object Identifier

10.1007/s00436-019-06210-3

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Languages

English

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