Evidence map›Paper›PMID 42818536›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Design and evaluation of a streamlined enrichment method for faster co-detection of enteric bacterial pathogens in natural soils and environmental samples.

Alexis Kapanka, Sharon Kwamutakha, Ellie M Madson, Collins Ouma, Megan Sinik, Bonphace Okoth, John Agira, Christine S Amondi, Sheillah Simiyu, Fanta D Gutema and 2 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Alexis KapankaDepartment of Occupational and Environmental Health, College of Public Health, University of Iowa, Iowa City, Iowa, USA.
Sharon KwamutakhaDepartment of Biomedical Sciences and Technology, Maseno University, Kisumu, Kenya.
Ellie M MadsonDepartment of Occupational and Environmental Health, College of Public Health, University of Iowa, Iowa City, Iowa, USA.ORCID 0009-0000-4814-1513
Collins OumaDepartment of Biomedical Sciences and Technology, Maseno University, Kisumu, Kenya.
Megan SinikCarver College of Medicine, University of Iowa, Iowa City, Iowa, USA.
Bonphace OkothDivision of Urbanization and Wellbeing, African Population and Health Research Center, Nairobi, Kenya.
John AgiraDivision of Urbanization and Wellbeing, African Population and Health Research Center, Nairobi, Kenya.
Christine S AmondiDivision of Urbanization and Wellbeing, African Population and Health Research Center, Nairobi, Kenya.
Sheillah SimiyuDivision of Urbanization and Wellbeing, African Population and Health Research Center, Nairobi, Kenya.
Fanta D GutemaDepartment of Occupational and Environmental Health, College of Public Health, University of Iowa, Iowa City, Iowa, USA.
Daniel SewellDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA.ORCID 0000-0002-9238-4026
Kelly K BakerDepartment of Occupational and Environmental Health, College of Public Health, University of Iowa, Iowa City, Iowa, USA.ORCID 0000-0002-3774-2628

Funding

Statistical and agent-based modeling of complex microbial systems: a means for understanding enteric disease transmission among children in urban neighborhoods of KenyaR01TW011795 · FIC · UNIVERSITY OF IOWA · PI BAKER, KELLY K, SEWELL, DANIEL · 2020 to 2024
$2.7M
FIC NIH HHS R01 TW011795
6 · The paper itself

Abstract

This study developed a streamlined, sensitive and rapid method for co-detection of low concentrations of Salmonella enterica, Shigella flexneri, Listeria monocytogenes, and pathogenic Escherichia coli from soil. First, autoclaved soil from Iowa with serial dilutions of bacteria to confirm individual species recovery rates on selective agar by qPCR under varying primary enrichment times was used. All pathogens were detected by qPCR of colonies recovered from replicate sterile soils spiked with 10^1 or greater bacteria within 5 hours of enrichment. Shiga toxin expressing E. coli (STEC) and L. monocytogenes were consistently co-recovered in autoclaved and natural soil, pathogen spiking concentration, and secondary enrichment time. S.enterica was consistently recovered at autoclaved and natural concentrations, while S. flexneri detection rates fluctuated. Twenty-three soil samples from Kenyan neighborhoods, with prior evidence of contamination, was compared to qPCR detection at each protocol stage: processing, primary enrichment, secondary enrichment, and selective colony isolation. Detection rates substantially increased for S. enterica, STEC and other pathogenic E. coli after enrichment, with optimal detection rates occurring after secondary enrichment. Testing colonies from selective agar resulted in high false negative rates, possibly reflecting competition from native soil microbiota that was absent in spiked sterile soil experiment. Evaluation of the method with other environmental sample types yielded consistent detection patterns. Evidence suggests a protocol including 24-hour primary enrichment, followed by 24-hour secondary enrichment, and qPCR testing of soil DNA at primary and secondary steps is a reproducible and more expedient method for co-detecting common Enterobacteriaceae and L. monocytogenes pathogens in soil.

Indexed as

enteric pathogensmicrobial exposure assessmentmicrobial methodspublic healthsoil microbiology

Identifiers

PMID42818536
PMCPMC13622441

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.