Evidence map›Paper›PMID 35464137›Full record

ArticleBiomicrofluidics2022

Microfluidic system for near-patient extraction and detection of miR-122 microRNA biomarker for drug-induced liver injury diagnostics.

Maïwenn Kersaudy-Kerhoas, Antonio Liga, Appan Roychoudhury, Marilena Stamouli, Rhiannon Grant, Damaso Sanchez Carrera, Holger Schulze, Witold Mielczarek, Wilna Oosthuyzen, Juan F Quintana and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Biomicrofluidics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

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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

16 authors at 3 institutions in 2 countries.

Maïwenn Kersaudy-KerhoasORCID 0000-0002-8185-8230
Appan RoychoudhuryInfection Medicine, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, Scotland.ORCID 0000-0002-4549-7239
Marilena StamouliInfection Medicine, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, Scotland.
Rhiannon GrantInfection Medicine, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, Scotland.ORCID 0000-0003-1507-2042
Damaso Sanchez CarreraInstitute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, Scotland.
Holger SchulzeInfection Medicine, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, Scotland.ORCID 0000-0002-6446-2824
Witold Mielczarek
Wilna OosthuyzenCentre for Cardiovascular Science, Queen Mary Research Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, Scotland.
Juan F QuintanaSchool of Biological Sciences, Ashworth Laboratories, University of Edinburgh, Edinburgh, Scotland.ORCID 0000-0002-5092-5576
Paul DickinsonSchool of Biological Sciences, Ashworth Laboratories, University of Edinburgh, Edinburgh, Scotland.
Amy H BuckSchool of Biological Sciences, Ashworth Laboratories, University of Edinburgh, Edinburgh, Scotland.ORCID 0000-0003-2645-7191
Nicholas R LeslieInstitute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, Scotland.ORCID 0000-0001-5131-0541
Jurgen HaasInfection Medicine, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, Scotland.
Till T BachmannInfection Medicine, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, Scotland.ORCID 0000-0001-6121-2021
James W DearCentre for Cardiovascular Science, Queen Mary Research Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, Scotland.
University of Edinburgh · GBHeriot-Watt University Malaysia · MYThe Queen's Medical Research Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced liver injury (DILI) results in over 100 000 hospital attendances per year in the UK alone and is a leading cause for the post-marketing withdrawal of new drugs, leading to significant financial losses. MicroRNA-122 (miR-122) has been proposed as a sensitive DILI marker although no commercial applications are available yet. Extracellular blood microRNAs (miRNAs) are promising clinical biomarkers but their measurement at point of care remains time-consuming, technically challenging, and expensive. For circulating miRNA to have an impact on healthcare, a key challenge to overcome is the development of rapid and reliable low-cost sample preparation. There is an acknowledged issue with miRNA stability in the presence of hemolysis and platelet activation, and no solution has been demonstrated for fast and robust extraction at the site of blood draw. Here, we report a novel microfluidic platform for the extraction of circulating miR-122 from blood enabled by a vertical approach and gravity-based bubble mixing. The performance of this disposable cartridge was verified by standard quantitative polymerase chain reaction analysis on extracted miR-122. The cartridge performed equivalently or better than standard bench extraction kits. The extraction cartridge was combined with electrochemical impedance spectroscopy to detect miR-122 as an initial proof-of-concept toward an application in point-of-care detection. This platform enables the standardization of sample preparation and the detection of miRNAs at the point of blood draw and in resource limited settings and could aid the introduction of miRNA-based assays into routine clinical practice.

Identifiers

PMID35464137
PMCPMC9018095
OpenAlexW4224253025

What OpenQuestion holds

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LicenceCC BY
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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.