ArticlePLoS neglected tropical diseases2021
Genetic diversity in two leading Plasmodium vivax malaria vaccine candidates AMA1 and MSP119 at three sites in India.
Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Low genetic polymorphism of the PvMSP1-19 vaccine candidate among Plasmodium vivax isolates along the Thailand-Myanmar border.Parasite (Paris, France) · 2026Article
- India should invest in the expansion of genomic epidemiology for vector-borne diseases filariasis, malaria and visceral leishmaniasis that are targeted for elimination.IJID regions · 2024Review
- Assembled genome of an EthiopianMicrobiology resource announcements · 2024Article
- Exploring the genetic progression of MDR1 inCurrent research in microbial sciences · 2024Article
- Immunogenicity and antigenicity of a conserved fragment of the rhoptry-associated membrane antigen of Plasmodium vivax.Parasites & vectors · 2022Article
- Host-parasite interactions duringFrontiers in immunology · 2022Review
- Genetic Diversity and Selection ofFrontiers in cellular and infection microbiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Plasmodium vivax, a major contributor to the malaria burden in India, has the broadest geographic distribution and shows higher genetic diversity than P. falciparum. Here, we investigated the genetic diversity of two leading P. vivax vaccine candidate antigens, at three geographically diverse malaria-endemic regions in India. Pvama1 and Pvmsp119 partial coding sequences were generated from one hundred P. vivax isolates in India (Chennai n = 28, Nadiad n = 50 and Rourkela n = 22) and ~1100 published sequences from Asia, South America, North America, and Oceania regions included. These data were used to assess the genetic diversity and potential for vaccine candidacy of both antigens on a global scale. A total of 44 single nucleotide polymorphism (SNPs) were identified among 100 Indian Pvama1 sequences, including 10 synonymous and 34 nonsynonymous mutations. Nucleotide diversity was higher in Rourkela and Nadiad as compared to Chennai. Nucleotide diversity measures showed a strong balancing selection in Indian and global population for domain I of Pvama1, which suggests that it is a dominant target of the protective immune response. In contrast, the Pvmsp119 region showed highly conserved sequences in India and across the Oceania, South America, North America and Asia, demonstrating low genetic diversity in the global population when compared to Pvama1. Results suggest the possibility of including Pvmsp119 in a multivalent vaccine formulation against P. vivax infections. However, the high genetic diversity seen in Pvama1 would be more challenging for vaccine development.
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.