journal article·2018-07Open access

A Rapid and Robust Diagnostic for Liver Fibrosis Using a Multichannel Polymer Sensor Array

William J. Peveler, Ryan F. Landis, Mahdieh Yazdani, James W. Day, Raakesh Modi, Claire J. Carmalt, William M. Rosenberg, Vincent M. Rotello

Advanced Materials· Volume 30· Issue 28

Abstract

Abstract Liver disease is the fifth most common cause of premature death in the Western world, with the irreversible damage caused by fibrosis, and ultimately cirrhosis, a primary driver of mortality. Early detection of fibrosis would facilitate treatment of the underlying liver disease to limit progression. Unfortunately, most cases of liver disease are diagnosed late, with current strategies reliant on invasive biopsy or fragile lab‐based antibody technologies. A robust, fully synthetic fluorescent‐polymer sensor array is reported, which, rapidly (in 45 minutes), detects liver fibrosis from low‐volume serum samples with clinically relevant specificity and accuracy, using an easily readable diagnostic output. The simplicity, rapidity, and robustness of this method make it a promising platform for point‐of‐care diagnostics for detecting and monitoring liver disease.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · thermodynamics and calorimetric analyses · Liver Disease Diagnosis and Treatment

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Division of Biomedical Engineering School of Engineering College of Science and Engineering University of Glasgow Glasgow G12 8LT UK

Department of Chemistry University College London 20 Gordon Street London WC1H 0AJ UK

Department of Chemistry University of Massachusetts Amherst 710 North Pleasant Street Amherst MA 01003 USA

Institute for Liver & Digestive Health University College London Division of Medicine Royal Free Hospital Rowland Hill Street London NW3 2PF UK

iQur Ltd LBIC 2 Royal College Street London NW1 0NH UK

Funding

Engineering and Physical Sciences Research Council · University of Glasgow · University College London Hospitals NHS Foundation Trust · National Institutes of Health

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