ArticleParasites & vectors2015
Phlebotomus papatasi SP15: mRNA expression variability and amino acid sequence polymorphisms of field populations.
Article in Parasites & vectors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Population structure analysis of Phlebotomus papatasi populations using transcriptome microsatellites: possible implications for leishmaniasis control and vaccine development.Parasites & vectors · 2024Article
- Comparative Analysis ofMicroorganisms · 2024Article
- Flying under the radar - impact and factors influencing asymptomatic DENV infections.Frontiers in cellular and infection microbiology · 2023Review
- Vector saliva controlled inflammatory response of the host may represent the Achilles heel during pathogen transmission.The journal of venomous animals and toxins including tropical diseases · 2021Article
- Comparative evaluation of salivary glands proteomes from wild Phlebotomus papatasi-proven vector of zoonotic cutaneous leishmaniasis in Iran.Veterinary medicine and science · 2021Article
- A stationary tweezer platform for high throughput dissections of minute arthropods and extirpation of their minute organs.MethodsX · 2021Article
- Phlebotomus papatasi sand fly predicted salivary protein diversity and immune response potential based on in silico prediction in Egypt and Jordan populations.PLoS neglected tropical diseases · 2020Article
- Population genetics analysis of Phlebotomus papatasi sand flies from Egypt and Jordan based on mitochondrial cytochrome b haplotypes.Parasites & vectors · 2018Article
- Insights into the sand fly saliva: Blood-feeding and immune interactions between sand flies, hosts, and Leishmania.PLoS neglected tropical diseases · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
Abstract
backgroundThe Phlebotomus papatasi salivary protein PpSP15 was shown to protect mice against Leishmania major, suggesting that incorporation of salivary molecules in multi-component vaccines may be a viable strategy for anti-Leishmania vaccines.
methodsHere, we investigated PpSP15 predicted amino acid sequence variability and mRNA profile of P. papatasi field populations from the Middle East. In addition, predicted MHC class II T-cell epitopes were obtained and compared to areas of amino acid sequence variability within the secreted protein.
resultsThe analysis of PpSP15 expression from field populations revealed significant intra- and interpopulation variation.. In spite of the variability detected for P. papatasi populations, common epitopes for MHC class II binding are still present and may potentially be used to boost the response against Le. major infections.
conclusionsConserved epitopes of PpSP15 could potentially be used in the development of a salivary gland antigen-based vaccine.
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.