Evidence map›Paper›PMID 30590681›Full record

ArticleThe Journal of infectious diseases2019

Longitudinal Analysis of Infant Stool Bacteria Communities Before and After Acute Febrile Malaria and Artemether-Lumefantrine Treatment.

Rabindra K Mandal, Rosie J Crane, James A Berkley, Wilson Gumbi, Juliana Wambua, Joyce Mwongeli Ngoi, Francis M Ndungu, Nathan W Schmidt

Open access · hybridAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. The gut microbiome in early life predicts malaria susceptibility.Frontiers in cellular and infection microbiology · 2026
    Article
  3. Review
  4. Article
  5. Gut microbiota influencesNew microbes and new infections · 2025
    Article
  6. Observational
  7. Applicability of Redirecting Artemisinins for New Targets.Global challenges (Hoboken, NJ) · 2023
    Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. The gut microbiome, immunity, and Plasmodium severity.Current opinion in microbiology · 2020
    Review
  14. Article
  15. 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

8 authors at 2 institutions in 3 countries.

Rabindra K MandalDepartment of Microbiology and Immunology, University of Louisville, Kentucky.
Rosie J CraneKEMRI Wellcome Trust Research Programme, Kilifi, Kenya.
James A BerkleyKEMRI Wellcome Trust Research Programme, Kilifi, Kenya.
Wilson GumbiKEMRI Wellcome Trust Research Programme, Kilifi, Kenya.
Juliana WambuaKEMRI Wellcome Trust Research Programme, Kilifi, Kenya.
Joyce Mwongeli NgoiKEMRI Wellcome Trust Research Programme, Kilifi, Kenya.
Francis M NdunguKEMRI Wellcome Trust Research Programme, Kilifi, Kenya.
Nathan W SchmidtDepartment of Microbiology and Immunology, University of Louisville, Kentucky.
Kenya Medical Research Institute · KEUniversity of Louisville · US

Funding

Role of the gut microbiota in shaping severity of malariaR01AI123486 · NIAID · UNIVERSITY OF LOUISVILLE · PI SCHMIDT, NATHAN · 2017 to 2021
$2.5M
NIAID NIH HHS R01 AI123486Wellcome Trust 103376/Z/13/Z
6 · The paper itself

Abstract

backgroundGut microbiota were recently shown to impact malaria disease progression and outcome, and prior studies have shown that Plasmodium infections increase the likelihood of enteric bacteria causing systemic infections. Currently, it is not known whether Plasmodium infection impacts human gut microbiota as a prelude to bacteremia or whether antimalarials affect gut microbiota. Our goal was to determine to what degree Plasmodium infections and antimalarial treatment affect human gut microbiota.

methodsOne hundred Kenyan infants underwent active surveillance for malaria from birth to 10 months of age. Each malaria episode was treated with artemether-lumefantrine (AL). Any other treatments, including antibiotics, were recorded. Stool samples were collected on an approximately biweekly basis. Ten children were selected on the basis of stool samples having been collected before (n = 27) or after (n = 17) a malaria episode and without antibiotics having been administered between collections. These samples were subjected to 16S ribosomal ribonucleic acid gene (V3-V4 region) sequencing.

resultsBacterial community network analysis revealed no obvious differences in the before and after malaria/AL samples, which was consistent with no difference in alpha and beta diversity and taxonomic analysis at the family and genus level with one exception. At the sequence variant (SV) level, akin to bacterial species, only 1 of the top 100 SVs was significantly different. In addition, predicted metagenome analysis revealed no significant difference in metagenomic capacity between before and after malaria/AL samples. The number of malaria episodes, 1 versus 2, explained significant variation in gut microbiota composition of the infants.

conclusionsIn-depth bioinformatics analysis of stool bacteria has revealed for the first time that human malaria episode/AL treatment have minimal effects on gut microbiota in Kenyan infants.

Indexed as

Gastrointestinal MicrobiomeAntimalarialsArtemether, Lumefantrine Drug CombinationComputational BiologyDysbiosisFecesFemaleFeverHumansInfantKenyaLongitudinal StudiesMalariaMalePlasmodiumRNA, Ribosomal, 16SAntimalarialsArtemether, Lumefantrine Drug CombinationRNA, Ribosomal, 16Santibioticsartemether/lumefantrineinfantsmalariamicrobiota

Identifiers

PMID30590681
PMCPMC6639600
OpenAlexW2906234471

What OpenQuestion holds

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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 OpenQuestion graph.