Evidence map›Paper›PMID 42766649›Full record

ArticlePLoS neglected tropical diseases2026

Hunting for Helminths: short- and long-read shotgun metagenomics for helminth detection in faecal samples.

Katie O'Brien, Ajay Elamaran, Mehmet Dayi, Georgia Keeling, William D Nevin, Yuchen Liu, Mark Viney, Kieran Reynolds, Charmaine Bishop, Banchob Sripa and 5 more

Abstract readEvaluation Study
In one paragraph

Article in PLoS neglected tropical diseases, 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

15 authors.

Katie O'BrienLife Sciences Department, University of Bath, Bath, United Kingdom.
Ajay ElamaranLife Sciences Department, University of Bath, Bath, United Kingdom.
Mehmet DayiForestry Vocational School, Düzce University, Konuralp Campus, Düzce, Türkiye.
Georgia KeelingLife Sciences Department, University of Bath, Bath, United Kingdom.
William D NevinDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Yuchen LiuDepartment of Evolution, Ecology and Behaviour, University of Liverpool, Liverpool, United Kingdom.
Mark VineyDepartment of Evolution, Ecology and Behaviour, University of Liverpool, Liverpool, United Kingdom.
Kieran ReynoldsLife Sciences Department, University of Bath, Bath, United Kingdom.
Charmaine BishopLife Sciences Department, University of Bath, Bath, United Kingdom.
Banchob SripaTropical Disease Research Center, Department of Tropical Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Menebere WoubsheteLife Sciences Department, University of Bath, Bath, United Kingdom.
Pamela Sachs NiqueLife Sciences Department, University of Bath, Bath, United Kingdom.
Rhiannon WrightLife Sciences Department, University of Bath, Bath, United Kingdom.
Jane YoungerInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia.
Vicky L HuntLife Sciences Department, University of Bath, Bath, United Kingdom.ORCID https://orcid.org/0000-0002-7094-044X

Funding

Wellcome Trust
6 · The paper itself

Abstract

Soil-transmitted helminths (STHs) pose significant challenges to public health in endemic areas, necessitating reliable methods for their detection. Shotgun metagenomics enables simultaneous detection of STHs and microbes in a sample without prior knowledge of what is present. However, validation of shotgun metagenomics with known infection intensity or across different sequencing platforms has not been carried out for eukaryote parasites including STHs, and false positives remain a pervasive issue. We validated shotgun metagenomics as a method of STH detection in faecal samples. Using the Strongyloides ratti laboratory model of a STH infection we investigated how analytical methods (nucleotide-nucleotide matching, nucleotide-protein matching, marker gene detection, mitochondrial mapping), infection intensity (low and standard laboratory doses) and sequencing technology (short-read vs. long-read) affects sensitivity and specificity of detection. S. ratti was accurately detected at a standard laboratory dose, but low intensity infection were more difficult to detect. Only mitochondrial sequence mapping was 100% accurate at identifying S. ratti with no false positives. Overall, short-read outperformed long-read sequencing methods. We applied the same analytical methods to human faecal samples with confirmed infections for at least one of four STHs. Mitochondrial sequence mapping was also the most effective method for detecting STHs in human faecal samples, detecting 100% of Necator americanus and 92% of Ascaris spp. infections, but could not reliably detect STHs where DNA levels are expected to be low or variable. In conclusion, mitochondrial mapping was the most effective method of detection for sensitivity and specificity in both the laboratory system and human faecal samples. Our findings indicate that shotgun metagenomics should be approached cautiously using validated methods, particularly when infection intensity or DNA levels are expected to be low.

Indexed as

FecesHelminthsMetagenomicsStrongyloidiasisAnimalsHumansSensitivity and SpecificityShotgun SequencingStrongyloides ratti

Identifiers

PMID42766649
PMCPMC13645222

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Registered trials

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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.