A SERRS-Based Lateral Flow Assay for Sensitive Detection of Mitochondrial DNA in Endometriosis Screening

A SERRS-Based Lateral Flow Assay for Sensitive Detection of Mitochondrial DNA in Endometriosis ScreeningClick to copy article linkArticle link copied! - Laura M. Rey GomezLaura M. Rey GomezSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, AustraliaMore by Laura M. Rey Gomez - Kazi Morshed AlomKazi Morshed AlomSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, AustraliaMore by Kazi Morshed Alom - Audrey NadaliniAudrey NadaliniSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, AustraliaMore by Audrey Nadalini - Su Su Thae HnitSu Su Thae HnitSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, AustraliaMore by Su Su Thae Hnit - Benjamin ClarkBenjamin ClarkDepartment of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow G1 1RD, UKMore by Benjamin Clark - Nana LyuNana LyuSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, AustraliaMore by Nana Lyu - Rena HiraniRena HiraniSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, AustraliaAustralian Red Cross Lifeblood, Sydney, NSW 2015, AustraliaMore by Rena Hirani - Sian Sloan-DennisonSian Sloan-DennisonDepartment of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow G1 1RD, UKMore by Sian Sloan-Dennison - Stacey LaingStacey LaingDepartment of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow G1 1RD, UKMore by Stacey Laing - Cicely Rathmell - David Creasey - Dieter Bingemann - Jonathan FairclothJonathan FairclothWasatch Photonics, Morrisville, North Carolina 27560, USAMore by Jonathan Faircloth - Neil Shand - Duncan GrahamDuncan GrahamDepartment of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow G1 1RD, UKMore by Duncan Graham - Karen FauldsKaren FauldsDepartment of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow G1 1RD, UKMore by Karen Faulds - Yuling Wang*Yuling Wang*Email: [email protected]School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, AustraliaMore by Yuling Wang Abstract Endometriosis (EMT) is an incurable and painful chronic illness that affects approximately 10% of people assigned female at birth worldwide. Currently, EMT takes on average 5–7 years to diagnose after histological confirmation with a tissue sample collected via laparoscopy. Therefore, there is a demand for developing new and powerful detection tools that can work in conjunction with imaging techniques to make EMT diagnosis more accessible and reduce diagnostic delays. This study proposes a proof-of-concept lateral flow assay (LFA) for the detection of an EMT biomarker based on mitochondrial DNA deletion mutations found in cell-free mitochondria in plasma. Surface-enhanced resonance Raman scattering (SERRS) was integrated with the LFA to increase sensitivity and allow quantitation using gold nanoparticles functionalised with the near-infrared fluorescent dye NIR 4f. The SERRS-LFA was compared to gel electrophoresis and colorimetry in a typical polymerase chain reaction (PCR) workflow. SERRS signals were analysed using confocal Raman microscopy in combination with digital SERRS. This digital SERRS-LFA demonstrated a limit of detection (LOD) of 5.6 × 102 input copies, about 109-fold lower than the reference colorimetric method. When mutant DNA was tested as abundance of background wild type DNA, an LOD of 0.35% was obtained, about 14-fold lower than the reference colorimetric method. Finally, quantitative analysis with a handheld Raman reader demonstrated the potential of bringing future amplification-free SERRS-based LFAs to point-of-care settings. Cited By This article has not yet been cited by other publications. Article Views Altmetric Citations Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days. Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts. The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated.