Profiles of global mutations in the human intercellular adhesion molecule-1 (ICAM-1) shed light on

Jasmita Gill1, Himmat Singh2, Amit Sharma3

  • 1ICMR-National Institute of Malaria Research, Sector-8 Dwarka, New Delhi, India. jasmita.gill@gmail.com.

BMC Genomics
|December 13, 2023
PubMed

Insights

Genetic variations in intercellular adhesion molecule-1 (ICAM-1) influence malaria severity. Specific ICAM-1 mutations, including the ICAM-1Kilifi variant, are linked to increased susceptibility, particularly in African populations.

Area of Science:

  • Genetics
  • Immunology
  • Parasitology

Background:

  • Plasmodium falciparum causes significant malaria morbidity and mortality.
  • P. falciparum erythrocyte membrane protein 1 (PfEMP1) mediates parasite adhesion, linked to severe malaria.
  • Host genetic variations, like ICAM-1 polymorphisms, affect malaria susceptibility and clinical outcomes.

Purpose of the Study:

  • To analyze genomic and structural variations in ICAM-1 related to PfEMP1 binding.
  • To investigate the role of specific ICAM-1 mutations, including the ICAM-1Kilifi variant, in malaria susceptibility.
  • To inform the design of population-specific genetic surveillance and personalized medicine strategies.

Main Methods:

  • Genomic and structural analysis of single nucleotide polymorphisms (SNPs) in ICAM-1.
  • Identification of mutations in PfEMP1 DBLβ-interacting regions.
  • Analysis of mutation prevalence in field isolates, particularly from African/African American populations.

Main Results:

  • Identified 9 unique mutations in ICAM-1's A-type and BC-type PfEMP1 DBLβ-interacting regions.
  • Observed these mutations in a limited number of field isolates, primarily in African/African American individuals.
  • Located the ICAM-1Kilifi variant in a flexible loop near the DBLβ-interacting region.

Conclusions:

  • Host ICAM-1 polymorphisms are crucial in determining malaria severity.
  • Understanding these genetic variations can predict disease predisposition and guide personalized medicine approaches.
  • This research supports tailored genetic surveillance for malaria in diverse populations.