Evidence map›Paper›PMID 39817162›Full record

ArticleFrontiers in parasitology2024

Development of a rapid and highly sensitive nucleic acid-based diagnostic test for schistosomes, leveraging on identical multi-repeat sequences.

Ombeni Ally, Bernard N Kanoi, Shwetha Kamath, Clement Shiluli, Eric M Ndombi, Maurice Odiere, Gerald Misinzo, Steven Ger Nyanjom, Chunduri Kiran Kumar, Lucy Ochola and 2 more

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In one paragraph

Article in Frontiers in parasitology, 2024. 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

12 authors.

Ombeni AllyDepartment of Molecular Biology and Biotechnology, Pan African University Institute for Basic Sciences, Technology and Innovation (PAUSTI), Nairobi, Kenya.
Bernard N KanoiCenter for Research in Infectious Diseases, College of Graduate Studies and Research, Mount Kenya University, Thika, Kenya.
Shwetha KamathDivision of Research and Development, Jigsaw Bio Solutions Private Limited, Bangalore, India.
Clement ShiluliCenter for Research in Infectious Diseases, College of Graduate Studies and Research, Mount Kenya University, Thika, Kenya.
Eric M NdombiCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Maurice OdiereCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Gerald MisinzoSACIDS Africa Center of Excellence for Infectious Diseases, Sokoine University of Agriculture, Morogoro, Tanzania.
Steven Ger Nyanjom *Department of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Chunduri Kiran KumarDepartment of Computer Science and Applications, KL University, Andhra Pradesh, Guntur, India.
Lucy Ochola *Department of Tropical and Infectious Diseases, Institute of Primate Research, Nairobi, Kenya.
Srinivasa Raju LolabattuDivision of Research and Development, Jigsaw Bio Solutions Private Limited, Bangalore, India.
Jesse Gitaka *Center for Research in Infectious Diseases, College of Graduate Studies and Research, Mount Kenya University, Thika, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Schistosomiasis (Bilharzia), a neglected tropical disease caused by Methods: To identify novel genomic repeat regions, we utilized the IMRS algorithm, with modifications to enable larger target region (100-200bp) identification instead of smaller sequences (18-30bp). These regions enabled customised primer-probe design to suit requirements for qPCR assay. To lower the qPCR amplification times, the assay was conducted using fast cycling condition. Regression analysis, and qPCR data visualization was conducted using Python programming. Results: Using Discussion: The lowest concentration of DNA detected using IMRS-based PCR and qPCR represented tenfold improvement over conventional PCR. As part of further development, there is a need to compare IMRS-based qPCR against other qPCR methods for

Indexed as

IMRSPCRqPCRSchistosoma haematobiumSchistosoma mansonischistosomiasis

Identifiers

PMID39817162
PMCPMC11731689

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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.