2025-07-14 カロリンスカ研究所(KI)
<関連情報>
- https://news.ki.se/proteins-in-the-blood-can-reveal-the-severity-of-malaria
- https://www.cell.com/immunity/fulltext/S1074-7613(25)00283-3
マラリア臨床のシステム解析から、プロテオミクスの摂動と生得的適応のクロストークが病気の重症度に関連していることが明らかになる Systems analysis of clinical malaria reveals proteomic perturbation and innate-adaptive crosstalk linked to disease severity
Maximilian Julius Lautenbach ∙ Katja Wyss ∙ Victor Yman ∙ … ∙ Mathias Uhlén ∙ Christopher Sundling ∙ Anna Färnert
Immunity Published:July 14, 2025
DOI:https://doi.org/10.1016/j.immuni.2025.06.014
Graphical abstract
Highlights
- Extensive plasma protein perturbations detected during natural P. falciparum malaria
- Protein profiles stratified patients and revealed a disease-severity signature
- Activated T cells emerge as key targets of innate immune-derived plasma proteins
- A systems-level resource for malaria pathogenesis and biomarker discovery
Summary
Malaria presents with varying degrees of severity. To improve clinical management and prevention, it is crucial to understand the pathogenesis and host response. We analyzed 1,463 plasma proteins during and after acute Plasmodium falciparum malaria in adult travelers and linked responses to peripheral immune cells by integrating with single-cell RNA sequencing (RNA-seq) data from a subset of donors. We identified extensive perturbations in over 250 proteins with diverse origins, including many not previously analyzed in malaria patients, such as hormones, circulating receptors, and intracellular or membrane-bound proteins from affected tissues. The protein profiles clustered participants according to disease severity, enabling the identification of a compressed 11-protein signature enriched in severe malaria. Conceptually, this study advances our understanding of malaria by linking systemic proteomic changes to immune cell communication and organ-specific responses. This resource, which includes an interactive platform to explore data, opens new avenues for hypothesis generation, biomarker discovery, and therapeutic target identification.
