Evidence map›Paper›PMID 38959285›Full record

ArticlePLoS neglected tropical diseases2024

Plasmodium vivax populations in the western Greater Mekong Subregion evaluated using a genetic barcode.

Yubing Hu, Yuling Li, Awtum M Brashear, Weilin Zeng, Zifang Wu, Lin Wang, Haichao Wei, Myat Thu Soe, Pyae Linn Aung, Jetsumon Sattabongkot and 5 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

15 authors.

Yubing HuDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, Liaoning, China.
Yuling LiDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, Liaoning, China.
Awtum M BrashearDivision of Infectious Disease and International Medicine, Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, United States of America.
Weilin ZengDepartment of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China.
Zifang WuDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, Liaoning, China.
Lin WangDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, Liaoning, China.
Haichao WeiDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, Liaoning, China.
Myat Thu SoeMyanmar Health Network Organization, Yangon, Myanmar.
Pyae Linn AungMyanmar Health Network Organization, Yangon, Myanmar.
Jetsumon SattabongkotMahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Myat Phone KyawMyanmar Health Network Organization, Yangon, Myanmar.
Zhaoqing YangDepartment of Pathogen Biology and Immunology, Kunming Medical University, Kunming, China.
Yan ZhaoDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, Liaoning, China.
Liwang CuiDivision of Infectious Disease and International Medicine, Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, United States of America.
Yaming CaoDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, Liaoning, China.ORCID 0000-0003-3917-0958

Funding

Southeast Asia Malaria Research CenterU19AI089672 · NIAID · UNIVERSITY OF SOUTH FLORIDA · PI CUI, LIWANG · 2010 to 2023
$28.9M
NIAID NIH HHS U19 AI089672
6 · The paper itself

Abstract

An improved understanding of the Plasmodium vivax populations in the Great Mekong Subregion (GMS) is needed to monitor the progress of malaria elimination. This study aimed to use a P. vivax single nucleotide polymorphism (SNP) barcode to evaluate the population dynamics and explore the gene flow among P. vivax parasite populations in the western GMS (China, Myanmar and Thailand). A total of 315 P. vivax patient samples collected in 2011 and 2018 from four regions of the western GMS were genotyped for 42 SNPs using the high-throughput MassARRAY SNP genotyping technology. Population genetic analysis was conducted to estimate the genetic diversity, effective population size, and population structure among the P. vivax populations. Overall, 291 samples were successfully genotyped at 39 SNPs. A significant difference was observed in the proportion of polyclonal infections among the five P. vivax populations (P = 0.0012, Pearson Chi-square test, χ2 = 18.1), with western Myanmar having the highest proportion (96.2%, 50/52) in 2018. Likewise, the average complexity of infection was also highest in western Myanmar (1.31) and lowest in northeast Myanmar (1.01) in 2018. The older samples from western China in 2011 had the highest pairwise nucleotide diversity (π, 0.388 ± 0.046), expected heterozygosity (He, 0.363 ± 0.02), and the largest effective population size. In comparison, in the neighboring northeast Myanmar, the more recent samples in 2018 showed the lowest values (π, 0.224 ± 0.036; He, 0.220 ± 0.026). Furthermore, the 2018 northeast Myanmar parasites showed high and moderate genetic differentiation from other populations with FST values of 0.162-0.252, whereas genetic differentiation among other populations was relatively low (FST ≤ 0.059). Principal component analysis, phylogeny, and STRUCTURE analysis showed that the P. vivax population in northeast Myanmar in 2018 substantially diverged from other populations. Although the 42 SNP barcode is a valuable tool for tracking parasite origins of worldwide parasite populations, a more extended barcode with additional SNPs is needed to distinguish the more related parasite populations in the western GMS.

Indexed as

DNA Barcoding, TaxonomicMalaria, VivaxPlasmodium vivaxPolymorphism, Single NucleotideChinaGene FlowGenetic VariationGenotypeHumansMyanmarThailand

Identifiers

PMID38959285
PMCPMC11251639

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.