Microbiologic methods utilized in the MAL-ED cohort study

Eric Houpt1, Jean Gratz1, Margaret Kosek2

  • 1University of Virginia, Charlottesville.

Insights

Enteropathogens may cause child growth faltering. The Etiology, Risk Factors and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development (MAL-ED) study developed standardized methods to test for these infections globally.

Area of Science:

  • Global child health
  • Infectious disease epidemiology
  • Pediatric nutrition

Background:

  • Child growth faltering is a significant global health issue.
  • Enteropathogens are suspected contributors to malnutrition and impaired child development.
  • The Etiology, Risk Factors and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development (MAL-ED) study investigates this link.

Purpose of the Study:

  • To establish harmonized laboratory protocols for detecting a wide array of enteropathogens.
  • To ensure quality-assured and comparable microbiological data across multiple international study sites.
  • To optimize laboratory throughput and cost-efficiency for large-scale enteric infection surveillance.

Main Methods:

  • Development of standardized diagnostic assays for diverse enteropathogens.
  • Implementation of rigorous quality assurance and control measures across 8 global sites.
  • Methodologies focused on maximizing sample processing efficiency and minimizing costs.

Main Results:

  • Harmonized protocols were successfully developed and implemented.
  • Quality-assured, comparable data were generated from all 8 MAL-ED sites.
  • Efficient laboratory procedures were established, enabling high throughput at reduced cost.

Conclusions:

  • The MAL-ED study successfully established standardized, quality-assured methods for enteropathogen detection.
  • These validated methodologies are crucial for investigating the role of enteric infections in child growth faltering.
  • The approach ensures reliable, cost-effective data collection for global child health research.

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