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Developmental allometry and paediatric malaria
Erica M W Billig1, Wendy P O'Meara, Eleanor M Riley
1Fogarty International Center, National Institutes of Health, Building 16, Bethesda, MD 20892, USA. erica.billig@nih.gov
Insights
Malaria disproportionately affects young children, with severity and presentation varying by age. This study explores developmental allometry as a potential explanation for these age-related differences in malaria outcomes.
Area of Science:
- Malariology
- Pediatrics
- Developmental Biology
Background:
- Malaria mortality disproportionately affects children under five, a pattern observed globally.
- Existing research often uses age as a proxy for exposure, but age itself may independently influence malaria burden and clinical outcomes.
- Younger children are more prone to severe anemia, while older children face a higher risk of cerebral malaria, indicating age-specific disease manifestations.
Purpose of the Study:
- To investigate potential exposure-independent biological mechanisms driving age-related differences in malaria severity and clinical presentation.
- To explore the novel concept of developmental allometry in the context of malaria infection in children.
- To identify new research avenues for understanding why malaria affects children of different ages differently.
Main Methods:
- Review and synthesis of existing evidence from diverse scientific disciplines.
- Exploration of the concept of developmental allometry – the relative growth of body parts – in relation to malaria's impact on organs and cells.
- Identification of potential age-related intrinsic factors influencing malaria outcomes.
Main Results:
- Age-related differences in malaria presentation persist across varying transmission intensities, suggesting factors beyond acquired immunity.
- Developmental allometry, where organs and cells grow at different rates, may influence how malaria affects children.
- The study highlights the need to consider inherent, age-dependent biological factors in malaria pathogenesis.
Conclusions:
- Age-related disparities in malaria outcomes may stem from intrinsic developmental processes, such as allometry, independent of cumulative exposure.
- Further research into developmental allometry could elucidate unique vulnerabilities and disease patterns in pediatric malaria.
- Understanding these age-specific mechanisms is crucial for targeted malaria control strategies in children.
Abstract:
WHO estimates that 80% of mortality due to malaria occurs among infants and young children. Though it has long been established that malaria disproportionately affects children under age five, our understanding of the underlying biological mechanisms for this distribution remains incomplete. Many studies use age as an indicator of exposure, but age may affect malaria burden independently of previous exposure. Not only does the severity of malaria infection change with age, but the clinical manifestation of disease does as well: younger children are more likely to suffer severe anaemia, while older children are more likely to develop cerebral malaria. Intensity of transmission and acquired immunity are important determinants of this age variation, but age differences remain consistent over varying transmission levels. Thus, age differences in clinical presentation may involve inherent age-related factors as well as still-undiscovered facets of acquired immunity, perhaps including the rates at which relevant aspects of immunity are acquired. The concept of "allometry" - the relative growth of a part in relation to that of an entire organism or to a standard - has not previously been applied in the context of malaria infection. However, because malaria affects a number of organs and cells, including the liver, red blood cells, white blood cells, and spleen, which may intrinsically develop at rates partly independent of each other and of a child's overall size, developmental allometry may influence the course and consequences of malaria infection. Here, scattered items of evidence have been collected from a variety of disciplines, aiming to suggest possible research paths for investigating exposure-independent age differences affecting clinical outcomes of malaria infection.
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