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Systems analysis of clinical malaria reveals proteomic perturbation and innate-adaptive crosstalk linked to disease severity
Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Infectious Diseases, Södersjukhuset, Stockholm, Sweden; Infectious Disease Epidemiology & Analytics Unit, Department of Global Health, Institut Pasteur, Paris, France.
Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
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2025 (English)In: Immunity, ISSN 1074-7613, E-ISSN 1097-4180Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier BV , 2025.
Keywords [en]
biomarker, malaria, multiomics, P. falciparum, proteomics, proximity extension assay, resource, severity, single-cell transcriptomics, systems-level analysis
National Category
Infectious Medicine Cell and Molecular Biology Immunology in the Medical Area Bioinformatics and Computational Biology Immunology
Identifiers
URN: urn:nbn:se:kth:diva-369057DOI: 10.1016/j.immuni.2025.06.014ISI: 001550857900003PubMedID: 40664217Scopus ID: 2-s2.0-105010973763OAI: oai:DiVA.org:kth-369057DiVA, id: diva2:1998428
Note

QC 20250916

Available from: 2025-09-16 Created: 2025-09-16 Last updated: 2025-09-16Bibliographically approved

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Alvez, Maria BuenoBergström, SofiaNilsson, PeterEdfors, FredrikUhlén, Mathias

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Immunity
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