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Gene expression analyses reveal differences in children’s response to malaria according to their age

Author

Listed:
  • Kieran Tebben

    (University of Maryland School of Medicine
    University of Maryland School of Medicine)

  • Salif Yirampo

    (University of Sciences, Techniques and Technologies)

  • Drissa Coulibaly

    (University of Sciences, Techniques and Technologies)

  • Abdoulaye K. Koné

    (University of Sciences, Techniques and Technologies)

  • Matthew B. Laurens

    (University of Maryland School of Medicine)

  • Emily M. Stucke

    (University of Maryland School of Medicine)

  • Ahmadou Dembélé

    (University of Sciences, Techniques and Technologies)

  • Youssouf Tolo

    (University of Sciences, Techniques and Technologies)

  • Karim Traoré

    (University of Sciences, Techniques and Technologies)

  • Amadou Niangaly

    (University of Sciences, Techniques and Technologies)

  • Andrea A. Berry

    (University of Maryland School of Medicine)

  • Bourema Kouriba

    (University of Sciences, Techniques and Technologies)

  • Christopher V. Plowe

    (University of Maryland School of Medicine)

  • Ogobara K. Doumbo

    (University of Sciences, Techniques and Technologies)

  • Kirsten E. Lyke

    (University of Maryland School of Medicine)

  • Shannon Takala-Harrison

    (University of Maryland School of Medicine)

  • Mahamadou A. Thera

    (University of Sciences, Techniques and Technologies)

  • Mark A. Travassos

    (University of Maryland School of Medicine)

  • David Serre

    (University of Maryland School of Medicine
    University of Maryland School of Medicine)

Abstract

In Bandiagara, Mali, children experience on average two clinical malaria episodes per year. However, even in the same transmission area, the number of uncomplicated symptomatic infections, and their parasitemia, can vary dramatically among children. We simultaneously characterize host and parasite gene expression profiles from 136 Malian children with symptomatic falciparum malaria and examine differences in the relative proportion of immune cells and parasite stages, as well as in gene expression, associated with infection and or patient characteristics. Parasitemia explains much of the variation in host and parasite gene expression, and infections with higher parasitemia display proportionally more neutrophils and fewer T cells, suggesting parasitemia-dependent neutrophil recruitment and/or T cell extravasation to secondary lymphoid organs. The child’s age also strongly correlates with variations in gene expression: Plasmodium falciparum genes associated with age suggest that older children carry more male gametocytes, while variations in host gene expression indicate a stronger innate response in younger children and stronger adaptive response in older children. These analyses highlight the variability in host responses and parasite regulation during P. falciparum symptomatic infections and emphasize the importance of considering the children’s age when studying and treating malaria infections.

Suggested Citation

  • Kieran Tebben & Salif Yirampo & Drissa Coulibaly & Abdoulaye K. Koné & Matthew B. Laurens & Emily M. Stucke & Ahmadou Dembélé & Youssouf Tolo & Karim Traoré & Amadou Niangaly & Andrea A. Berry & Boure, 2024. "Gene expression analyses reveal differences in children’s response to malaria according to their age," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46416-3
    DOI: 10.1038/s41467-024-46416-3
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    References listed on IDEAS

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    1. Richard Thomson-Luque & Lasse Votborg-Novél & Wanangwa Ndovie & Carolina M. Andrade & Moussa Niangaly & Charalampos Attipa & Nathalia F. Lima & Drissa Coulibaly & Didier Doumtabe & Bouréima Guindo & B, 2021. "Plasmodium falciparum transcription in different clinical presentations of malaria associates with circulation time of infected erythrocytes," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    2. Aditya S. Paul & Alexandra Miliu & Joao A. Paulo & Jonathan M. Goldberg & Arianna M. Bonilla & Laurence Berry & Marie Seveno & Catherine Braun-Breton & Aziz L. Kosber & Brendan Elsworth & Jose S. N. A, 2020. "Co-option of Plasmodium falciparum PP1 for egress from host erythrocytes," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    3. Sudhir Kumar & Manish Kumar & Roseleen Ekka & Jeffrey D. Dvorin & Aditya S. Paul & Anil K. Madugundu & Tim Gilberger & Harsha Gowda & Manoj T. Duraisingh & T. S. Keshava Prasad & Pushkar Sharma, 2017. "PfCDPK1 mediated signaling in erythrocytic stages of Plasmodium falciparum," Nature Communications, Nature, vol. 8(1), pages 1-13, December.
    4. Gerry Q Tonkin-Hill & Leily Trianty & Rintis Noviyanti & Hanh H T Nguyen & Boni F Sebayang & Daniel A Lampah & Jutta Marfurt & Simon A Cobbold & Janavi S Rambhatla & Malcolm J McConville & Stephen J R, 2018. "The Plasmodium falciparum transcriptome in severe malaria reveals altered expression of genes involved in important processes including surface antigen–encoding var genes," PLOS Biology, Public Library of Science, vol. 16(3), pages 1-40, March.
    5. Daphne Tsoucas & Rui Dong & Haide Chen & Qian Zhu & Guoji Guo & Guo-Cheng Yuan, 2019. "Accurate estimation of cell-type composition from gene expression data," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
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