Evidence map›Paper›PMID 39443558›Full record

ArticleScientific reports2024

Optimization of 18 S rRNA metabarcoding for the simultaneous diagnosis of intestinal parasites.

Dongjun Kang, Jun Ho Choi, Myungjun Kim, Sohyeon Yun, Singeun Oh, Myung-Hee Yi, Tai-Soon Yong, Young Ah Lee, Myeong Heon Shin, Ju Yeong Kim

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Article
  5. Identification ofEmerging microbes & infections · 2025
    Review
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  7. 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

10 authors.

Dongjun KangDepartment of Tropical Medicine, Institute of Tropical Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Jun Ho ChoiDepartment of Tropical Medicine, Institute of Tropical Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Myungjun KimDepartment of Tropical Medicine, Institute of Tropical Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Sohyeon YunDepartment of Tropical Medicine, Institute of Tropical Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Singeun OhDepartment of Tropical Medicine, Institute of Tropical Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Myung-Hee YiDepartment of Tropical Medicine, Institute of Tropical Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Tai-Soon YongDepartment of Tropical Medicine, Institute of Tropical Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Young Ah LeeDepartment of Tropical Medicine, Institute of Tropical Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Myeong Heon ShinDepartment of Tropical Medicine, Institute of Tropical Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Ju Yeong KimDepartment of Tropical Medicine, Institute of Tropical Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea. jykim0802@yuhs.ac.

Funding

Faculty research grant of Yonsei University College of Medicine 6-2023-0065Ministry of Health and Welfare, Republic of Korea HI23C1527National Research Foundation of Korea (NRF) grant funded by the Korean Government NRF‑2020R1I1A2074562
6 · The paper itself

Abstract

Recent advancements in next-generation sequencing (NGS) technologies have created new opportunities for comprehensive screening of multiple parasite species. In this study, we cloned the 18 S rDNA V9 region of 11 species of intestinal parasites into plasmids. Equal amounts and concentrations of these 11 plasmids were pooled, and amplicon NGS targeting the 18 S rDNA V9 region was performed using the Illumina iSeq 100 platform. A total of 434,849 reads were identified, and all 11 parasite species were detected, although the number of output reads for each parasite varied. The read count ratio, in descending order, was as follows: Clonorchis sinensis, 17.2%; Entamoeba histolytica, 16.7%; Dibothriocephalus latus, 14.4%; Trichuris trichiura, 10.8%; Fasciola hepatica, 8.7%; Necator americanus, 8.5%; Paragonimus westermani, 8.5%; Taenia saginata, 7.1%; Giardia intestinalis, 5.0%; Ascaris lumbricoides, 1.7%; and Enterobius vermicularis, 0.9%. We found that the DNA secondary structures showed a negative association with the number of output reads. Additionally, variations in the amplicon PCR annealing temperature affected the relative abundance of output reads for each parasite. These findings can be applied to improve parasite detection methodologies and ultimately enhance efforts to control and prevent intestinal parasitic infections.

Indexed as

DNA Barcoding, TaxonomicHigh-Throughput Nucleotide SequencingIntestinal Diseases, ParasiticRNA, Ribosomal, 18SAnimalsDNA, RibosomalFecesHumansParasitesDNA, RibosomalRNA, Ribosomal, 18S18S rDNAHelminthsIntestinal parasitesMetabarcodingNext generation sequencingProtozoa

Identifiers

PMID39443558
PMCPMC11499679

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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.