Evidence map›Paper›PMID 40931024›Full record

ArticleCommunications medicine2025

Metagenomic complexity of high, seasonal transmission of Plasmodium spp. in asymptomatic carriers in Northern Sahelian Ghana.

Mun Hua Tan, Oscar Bangre, Cecilia A Rios-Teran, Kathryn E Tiedje, Samantha L Deed, Qi Zhan, Fathia Rasyidi, Mercedes Pascual, Patrick O Ansah, Karen P Day

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Mun Hua TanDepartment of Microbiology and Immunology, Bio21 Institute and The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia. munhua.tan@unimelb.edu.au.ORCID http://orcid.org/0000-0003-3396-8213
Oscar Bangre *Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana.
Cecilia A Rios-Teran *Department of Microbiology and Immunology, Bio21 Institute and The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0009-0007-9301-2068
Kathryn E TiedjeDepartment of Microbiology and Immunology, Bio21 Institute and The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.
Samantha L DeedDepartment of Microbiology and Immunology, Bio21 Institute and The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.
Qi ZhanCommittee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-7959-817X
Fathia RasyidiDepartment of Microbiology and Immunology, Bio21 Institute and The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.
Mercedes PascualDepartment of Biology, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0003-3575-7233
Patrick O AnsahNavrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana.
Karen P DayDepartment of Microbiology and Immunology, Bio21 Institute and The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.

Funding

Temporal strain structure and response to interventions in a high endemicity region of Plasmodium falciparum R01AI149779 · NIAID · UNIVERSITY OF CHICAGO · PI DAY, KAREN PATRICIA, KORAM, KWADWO ANSAH · 2019 to 2023
$3.0M
The impact of seasonality and vector control on the population structure of Plasmodium falciparumR01TW009670 · FIC · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAY, KAREN PATRICIA, KORAM, KWADWO ANSAH · 2013 to 2016
$1.8M
FIC NIH HHS R01 TW009670NIAID NIH HHS R01 AI149779U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R01-AI149779
6 · The paper itself

Abstract

backgroundMixed-species, mixed-strain plasmodia infections are known to occur in humans in malaria endemic areas. It may be surprising that to date, the extent of this complexity has not been systematically explored in high-burden countries of sub-Saharan Africa, especially in the reservoir of asymptomatic infections in all ages, which sustains transmission.

methodsHere we take a metagenomic lens to these infections by sampling variable blood volumes from 188 afebrile residents living in high, seasonal transmission in Northern Sahelian Ghana. We estimated multiplicity of infection for different Plasmodium spp. through genotyping of antigens and microsatellites. We further defined 'metagenomic complexity' as a measure of overall within-host complexity across the combination of species and strains.

resultsWe show that prevalence of Plasmodium spp. and inter-/intra-species complexity is significantly higher in larger blood volumes from these individuals. Overall, malaria infections display high levels of metagenomic complexity comprising single-, double-, and triple-species infections with varying levels of intra-species complexity for P. falciparum, P. malariae, P. ovale curtisi, and P. ovale wallikeri. We also report a subset of individuals with highly-complex infections that cannot be explained by age or location. The implications of these findings to malaria epidemiology and control are illustrated by a geographic scaling exercise to district and region levels in northern Ghana.

conclusionsOur metagenomic investigation underscores the need to more sensitively measure within-host Plasmodium spp. complexity in asymptomatic carriers of infection. This will optimise strategies for malaria surveillance and control.

Identifiers

PMID40931024
PMCPMC12423318

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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.