ArticlePLoS computational biology2017
Identification of immune signatures predictive of clinical protection from malaria.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 30 citations in OpenAlex.
- Infants Younger Than 24 Months With Severe Malaria Have a Serologic Profile of Active Infection With Epstein-Barr Virus.The Journal of infectious diseases · 2026Article
- From data to immunity: the role of machine learning in advancing malaria vaccine research: a scoping review.Tropical diseases, travel medicine and vaccines · 2025Review
- Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models.BMC medical informatics and decision making · 2025Article
- Machine learning prediction of malaria vaccine efficacy based on antibody profiles.PLoS computational biology · 2024Article
- Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data.BioData mining · 2024Article
- IgG Antibody Responses to Epstein-Barr Virus in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Their Effective Potential for Disease Diagnosis and Pathological Antigenic Mimicry.Medicina (Kaunas, Lithuania) · 2024Article
- Convalescent Adaptive Immunity Is Highly Heterogenous after SARS-CoV-2 Infection.Journal of clinical medicine · 2023Article
- Utility of the Specialized Pro-Resolving Mediators as Diagnostic and Prognostic Biomarkers in Disease.Biomolecules · 2022Review
- Article
- Microscopic and submicroscopic infection byFrontiers in cellular and infection microbiology · 2022Article
- DNA methylation-based classifier and gene expression signatures detect BRCAness in osteosarcoma.PLoS computational biology · 2021Article
- Article
- Immune Signature AgainstMolecular & cellular proteomics : MCP · 2020Article
- Naturally Acquired Humoral Immunity AgainstFrontiers in immunology · 2020Review
- Selection of adjuvants for vaccines targeting specific pathogens.Expert review of vaccines · 2019Review
- Identification of Immune Signatures of Novel Adjuvant Formulations Using Machine Learning.Scientific reports · 2018Article
- Activation-induced Markers Detect Vaccine-Specific CD4⁺ T Cell Responses Not Measured by Assays Conventionally Used in Clinical Trials.Vaccines · 2018Article
- Quantification of anti-parasite and anti-disease immunity to malaria as a function of age and exposure.eLife · 2018Article
- Novel Strategies for Malaria Vaccine Design.Frontiers in immunology · 2018Review
- Recent advances in the molecular epidemiology of clinical malaria.F1000Research · 2018Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Antibodies are thought to play an essential role in naturally acquired immunity to malaria. Prospective cohort studies have frequently shown how continuous exposure to the malaria parasite Plasmodium falciparum cause an accumulation of specific responses against various antigens that correlate with a decreased risk of clinical malaria episodes. However, small effect sizes and the often polymorphic nature of immunogenic parasite proteins make the robust identification of the true targets of protective immunity ambiguous. Furthermore, the degree of individual-level protection conferred by elevated responses to these antigens has not yet been explored. Here we applied a machine learning approach to identify immune signatures predictive of individual-level protection against clinical disease. We find that commonly assumed immune correlates are poor predictors of clinical protection in children. On the other hand, antibody profiles predictive of an individual's malaria protective status can be found in data comprising responses to a large set of diverse parasite proteins. We show that this pattern emerges only after years of continuous exposure to the malaria parasite, whereas susceptibility to clinical episodes in young hosts (< 10 years) cannot be ascertained by measured antibody responses alone.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.