ArticleCell communication and signaling : CCS2022
Subsequent malaria enhances virus-specific T cell immunity in SIV-infected Chinese rhesus macaques.
Article in Cell communication and signaling : CCS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Unraveling the HIV-malaria interactions: a bibliometric analysis of global research trends and emerging insights.Frontiers in microbiology · 2025Pooled it
- Gastrointestinal Mucosal Disruptions During ART-Treated SIVPathogens & immunity · 2026Article
- Preclinical Study ofCells · 2022Article
- From immune equilibrium to immunodynamics.Frontiers in microbiology · 2022Article
Corrections and comments
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Authors and funding
14 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoinfection with HIV and Plasmodium parasites is fairly common, but the sequence of infection with these two pathogens and their impact on disease progression are poorly understood.
methodsA Chinese rhesus macaque HIV and Plasmodium coinfection model was established to compare the impact of pre-existing and subsequent malaria on the progression of SIV infection.
resultsWe found that a pre-existing malaria caused animals to produce a greater number of CD4
conclusionThe complex outcomes of this study may have important implications for research on human HIV and malaria coinfection. The infection order of the two pathogens (HIV and malaria parasites) should be emphasized. Video abstract.
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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.