Evidence map›Paper›PMID 40829583›Full record

ArticleThe American journal of tropical medicine and hygiene2025

High Prevalence, Genetic Diversity and Temporal Differentiation of Plasmodium vivax in a Remote Hard-to-Reach Community from the Peruvian Amazon Region.

Roberson Ramirez, Katherine Torres, Pamela Rodríguez, Carlos Acosta, Mitchel Guzmán-Guzmán, Alejandro Llanos-Cuentas, Joseph M Vinetz, Ananias A Escalante, Dionicia Gamboa

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Roberson RamirezAmazonian International Center of Excellence for Malaria Research, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, Lima, Peru.
Katherine TorresAmazonian International Center of Excellence for Malaria Research, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, Lima, Peru.
Pamela RodríguezAmazonian International Center of Excellence for Malaria Research, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, Lima, Peru.
Carlos AcostaAmazonian International Center of Excellence for Malaria Research, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, Lima, Peru.
Mitchel Guzmán-GuzmánAmazonian International Center of Excellence for Malaria Research, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, Lima, Peru.
Alejandro Llanos-CuentasInstituto de Medicina Tropical "Alexander von Humboldt", Universidad Peruana Cayetano Heredia, Lima, Peru.
Joseph M VinetzAmazonian International Center of Excellence for Malaria Research, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, Lima, Peru.
Ananias A EscalanteInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, Pennsylvania.
Dionicia GamboaAmazonian International Center of Excellence for Malaria Research, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, Lima, Peru.

Funding

Sugar-feeding behavior of the malaria vector Nyssorhynchus darlingi and development of effective attractive toxic sugar baits (ATSB) to increase intervention success in PeruU19AI089681 · NIAID · YALE UNIVERSITY · PI GAZZINELLI, RICARDO TOSTES · 2010 to 2023
$20.1M
NIAID NIH HHS U19 AI089681
6 · The paper itself

Abstract

Assessing parasite population genetic diversity and structure in remote areas is essential for understanding malaria transmission and guiding interventions toward elimination. This study monitored the genetic diversity and population structure of Plasmodium vivax as part of a longitudinal surveillance in Santa Emilia, a hard-to-reach community in Loreto, Peru. A total of 221 of 3,434 P. vivax samples collected through active and passive case detection between 2015 and 2016 were genotyped using 16 neutral microsatellites. Additionally, 139 genotyped samples from 2013, previously reported, were included for comparison. Malaria prevalence (microscopic and submicroscopic), genetic diversity, population differentiation, structure, bottleneck analysis, and relatedness between years were evaluated. We found 56% P. vivax prevalence by quantitative real-time polymerase chain reaction, with 44% submicroscopic infections in 2015 and 2016. Genetic diversity and population differentiation were high between 2013, 2015, and 2016. Parasites from 2015 to 2016 had a lower Jost D. In 2013 and 2015, more than 40% of infections were polyclonal infections, but only 29% were polyclonal infections in 2016. Moderate linkage disequilibrium was found over time. Four populations were detected in 2013, 2015, and 2016, with increasing admixture in 2015-2016. Genetically related parasites with clonal expansion suggest that there was no recent bottleneck. Santa Emilia has a persistent high genetic diversity and structured, temporally differentiated clonal populations over the time periods of the study. This analysis highlights the complexity of parasite dynamics in this remote area of malaria transmission, making it a challenging area for the malaria elimination plan in Peru.

Indexed as

Genetic VariationMalaria, VivaxPlasmodium vivaxAdolescentAdultChildFemaleGenotypeHumansLinkage DisequilibriumMaleMicrosatellite RepeatsPeruPrevalenceYoung Adult

Identifiers

PMID40829583
PMCPMC12590998

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.