ReviewImmunological reviews2020
Decoding the complexities of human malaria through systems immunology.
Review in Immunological reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 24 citations in OpenAlex.
- From data to immunity: the role of machine learning in advancing malaria vaccine research: a scoping review.Tropical diseases, travel medicine and vaccines · 2025Review
- Monitoring Immune Responses to Vaccination: A Focus on Single-Cell Analysis and Associated Challenges.Vaccines · 2025Review
- In vitro and in silico evaluation of synthetic compounds derived from bi-triazoles against asexual and sexual forms of Plasmodium falciparum.Malaria journal · 2025Article
- Cytolytic circumsporozoite-specific memory CD4Nature communications · 2023Article
- Malaria epidemiological characteristics and control in Guangzhou, China, 1950-2022.Malaria journal · 2023Article
- Escaping the enemy's bullets: an update on how malaria parasites evade host immune response.Parasitology research · 2023Review
- Metallic Nanoparticles and Core-Shell Nanosystems in the Treatment, Diagnosis, and Prevention of Parasitic Diseases.Pathogens (Basel, Switzerland) · 2023Review
- Malian children infected with Plasmodium ovale and Plasmodium falciparum display very similar gene expression profiles.PLoS neglected tropical diseases · 2023Article
- Systems biology of malaria explored with nonhuman primates.Malaria journal · 2022Review
- Next-Generation Technologies and Systems Biology for the Design of Novel Vaccines Against Apicomplexan Parasites.Frontiers in veterinary science · 2021Review
- Plasmodium knowlesi detection methods for human infections-Diagnosis and surveillance.Advances in parasitology · 2021Article
- The science and medicine of human immunology.Science (New York, N.Y.) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
The complexity of the Plasmodium parasite and its life cycle poses a challenge to our understanding of the host immune response against malaria. Studying human immune responses during natural and experimental Plasmodium infections can enhance our understanding of malaria-protective immunity and inform the design of disease-modifying adjunctive therapies and next-generation malaria vaccines. Systems immunology can complement conventional approaches to facilitate our understanding of the complex immune response to the highly dynamic malaria parasite. In this review, recent studies that used systems-based approaches to evaluate human immune responses during natural and experimental Plasmodium falciparum and Plasmodium vivax infections as well as during immunization with candidate malaria vaccines are summarized and related to each other. The potential for next-generation technologies to address the current limitations of systems-based studies of human malaria are discussed.
Indexed as
Identifiers
What OpenQuestion holds
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.