ReviewMalaria journal2026
Beyond the mouse: organoids, spheroids, and organs-on-chips as the (inevitable) future of malaria research?
Review in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Transcriptomic Challenges We Faced with Animal Models for Neurological Disorders.Current issues in molecular biology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Malaria remains a major global health threat, causing substantial clinical and socioeconomic burdens in endemic regions. Despite important advances in control strategies, progress is increasingly challenged by antimalarial drug resistance, widespread insecticide resistance, diagnostic escape, and adaptive changes in vector behavior. In this context, robust experimental models are essential to improve understanding of parasite biology, host-pathogen interactions, and therapeutic responses. Murine malaria models remain central to preclinical research because they are accessible, genetically tractable, cost-effective, and well suited to controlled studies of immunity, pathophysiology, transmission, and drug efficacy. Continuous refinement of these models through parasite and host genetic engineering, including transgenic parasites and modified or humanized mouse strains, has further expanded their experimental value. However, murine models do not fully reproduce human malaria. Key interspecies differences in parasite biology, antigenic variation, cytoadherence, tissue tropism, placental structure, blood-brain barrier interactions, and disease kinetics limit direct translation, particularly for severe, cerebral, placental, and relapsing malaria caused by Plasmodium falciparum and Plasmodium vivax. These limitations underscore the need for complementary human-relevant platforms. Micro physiological systems are emerging as a critical addition to the malaria research toolbox. Spheroids offer scalable three-dimensional models for medium-throughput studies; organoids reproduce essential structural and functional features of human tissues such as the liver, brain, placenta, and vasculature; and organ-on-chip systems incorporate flow, shear stress, and multicellular interfaces to better model sequestration, endothelial activation, barrier dysfunction, liver-stage infection, and drug responses. Rather than replacing murine models, these technologies complement them by bridging the gap between reductionist in-vitro assays and human disease biology, while supporting the principles of replacement, reduction, and refinement. This narrative review examines the current landscape of murine malaria models, their major contributions and translational limitations, and the growing importance of micro physiological systems, with their limitations, in next-generation malaria research.
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.