Evidence map›Paper›PMID 30634978›Full record

ArticleBMC systems biology2019

Plasmodium vivax readiness to transmit: implication for malaria eradication.

Swamy Rakesh Adapa, Rachel A Taylor, Chengqi Wang, Richard Thomson-Luque, Leah R Johnson, Rays H Y Jiang

Abstract read
In one paragraph

Article in BMC systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Drug Repurposing Approach Reveals Targetable Epigenetic Pathways inbioRxiv : the preprint server for biology · 2024
    Article
  6. Review
  7. The Black Box of Cellular and Molecular Events ofInternational journal of molecular sciences · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Home Sweet Home:Frontiers in cellular and infection microbiology · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Swamy Rakesh AdapaDepartment of Global Health (GH) & Center for Drug Discovery and Innovation (CDDI), College of Public Health, University of South Florida, Tampa, FL, 33612, USA.
Rachel A TaylorDepartment of Integrative Biology, University of South Florida, Tampa, FL, USA.
Chengqi WangDepartment of Global Health (GH) & Center for Drug Discovery and Innovation (CDDI), College of Public Health, University of South Florida, Tampa, FL, 33612, USA.
Richard Thomson-LuqueDepartment of Global Health (GH) & Center for Drug Discovery and Innovation (CDDI), College of Public Health, University of South Florida, Tampa, FL, 33612, USA.
Leah R JohnsonDepartment of Integrative Biology, University of South Florida, Tampa, FL, USA.
Rays H Y JiangDepartment of Global Health (GH) & Center for Drug Discovery and Innovation (CDDI), College of Public Health, University of South Florida, Tampa, FL, 33612, USA. jiang2@health.usf.edu.

Funding

Chemogenomic Profiling of Plasmodium Falciparum Responses and ResistanceR01AI117017 · NIAID · UNIVERSITY OF SOUTH FLORIDA · PI ADAMS, JOHN H · 2015 to 2025
$6.9M
Targeting Mutant KRAS for Cancer TherapyR35CA197731 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI SEBTI, SAID M · 2016 to 2022
$6.2M
National Cancer Institute R35 CA197731National Institute of Allergy and Infectious Diseases Extramural Activities R01 AI117017
6 · The paper itself

Abstract

backgroundThe lack of a continuous long-term in vitro culture system for Plasmodium vivax severely limits our knowledge of pathophysiology of the most widespread malaria parasite. To gain direct understanding of P. vivax human infections, we used Next Generation Sequencing data mining to unravel parasite in vivo expression profiles for P. vivax, and P. falciparum as comparison.

resultsWe performed cloud and local computing to extract parasite transcriptomes from publicly available raw data of human blood samples. We developed a Poisson Modelling (PM) method to confidently identify parasite derived transcripts in mixed RNAseq signals of infected host tissues. We successfully retrieved and reconstructed parasite transcriptomes from infected patient blood as early as the first blood stage cycle; and the same methodology did not recover any significant signal from controls. Surprisingly, these first generation blood parasites already show strong signature of transmission, which indicates the commitment from asexual-to-sexual stages. Further, we place the results within the context of P. vivax's complex life cycle, by developing mathematical models for P. vivax and P. falciparum and using sensitivity analysis assess the relative epidemiological impact of possible early stage transmission.

conclusionThe study uncovers the earliest onset of P. vivax blood pathogenesis and highlights the challenges of P. vivax eradication programs.

Indexed as

BloodGametogenesisGene Expression ProfilingHumansMalaria, VivaxModels, BiologicalPlasmodium vivaxRNA, MessengerRNA, MessengerDisease transmissionMalariaMathematical modellingPlasmodium vivaxRNAseq

Identifiers

PMID30634978
PMCPMC6330404

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.