PMID- 35223986 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220301 IS - 2296-889X (Print) IS - 2296-889X (Electronic) IS - 2296-889X (Linking) VI - 8 DP - 2021 TI - SERS Based Lateral Flow Assay for Rapid and Ultrasensitive Quantification of Dual Laryngeal Squamous Cell Carcinoma-Related miRNA Biomarkers in Human Serum Using Pd-Au Core-Shell Nanorods and Catalytic Hairpin Assembly. PG - 813007 LID - 10.3389/fmolb.2021.813007 [doi] LID - 813007 AB - Non-invasive early diagnosis is of great significant in disease pathologic development and subsequent medical treatments, and microRNA (miRNA) detection has attracted critical attention in early cancer screening and diagnosis. However, it was still a challenge to report an accurate and sensitive method for the detection of miRNA during cancer development, especially in the presence of its analogs that produce intense background noise. Herein, we developed a surface-enhanced Raman scattering (SERS)-based lateral flow assay (LFA) biosensor, assisted with catalytic hairpin assembly (CHA) amplification strategy, for the dynamic monitoring of miR-106b and miR-196b, associated with laryngeal squamous cell carcinoma (LSCC). In the presence of target miRNAs, two hairpin DNAs could self-assemble into double-stranded DNA, exposing the biotin molecules modified on the surface of palladium (Pd)-gold (Au) core-shell nanorods (Pd-AuNRs). Then, the biotin molecules could be captured by the streptavidin (SA), which was fixed on the test lines (T1 line and T2 line) beforehand. The core-shell spatial structures and aggregation Pd-AuNRs generated abundant active "hot spots" on the T line, significantly amplifying the SERS signals. Using this strategy, the limits of detections were low to aM level, and the selectivity, reproducibility, and uniformity of the proposed SERS-LFA biosensor were satisfactory. Finally, this rapid analysis strategy was successfully applied to quantitatively detect the target miRNAs in clinical serum obtained from healthy subjects and patients with LSCC at different stages. The results were consistent with the quantitative real-time PCR (qRT-PCR). Thus, the CHA-assisted SERS-LFA biosensor would become a promising alternative tool for miRNAs detection, which showed a tremendous clinical application prospect in diagnosing LSCC. CI - Copyright (c) 2022 Li, Niu, Ge, Cao and Sun. FAU - Li, Guang AU - Li G AD - Department of Otorhinolaryngology-Head and Neck Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China. FAU - Niu, Ping AU - Niu P AD - Departments of Otolaryngology, The Affiliated Hospital of Shandong First Medical University, Qingzhou People's Hospital, Qingzhou, China. FAU - Ge, Shengjie AU - Ge S AD - Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, China. FAU - Cao, Dawei AU - Cao D AD - College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China. FAU - Sun, Aidong AU - Sun A AD - Department of Otorhinolaryngology-Head and Neck Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China. LA - eng PT - Journal Article DEP - 20220211 PL - Switzerland TA - Front Mol Biosci JT - Frontiers in molecular biosciences JID - 101653173 PMC - PMC8878268 OTO - NOTNLM OT - Pd-Au core-shell nanorods OT - catalytic hairpin assembly OT - laryngeal squamous cell carcinoma OT - lateral flow assay OT - miRNA OT - surface-enhanced Raman scattering COIS- The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. EDAT- 2022/03/01 06:00 MHDA- 2022/03/01 06:01 PMCR- 2021/01/01 CRDT- 2022/02/28 05:40 PHST- 2021/11/12 00:00 [received] PHST- 2021/12/20 00:00 [accepted] PHST- 2022/02/28 05:40 [entrez] PHST- 2022/03/01 06:00 [pubmed] PHST- 2022/03/01 06:01 [medline] PHST- 2021/01/01 00:00 [pmc-release] AID - 813007 [pii] AID - 10.3389/fmolb.2021.813007 [doi] PST - epublish SO - Front Mol Biosci. 2022 Feb 11;8:813007. doi: 10.3389/fmolb.2021.813007. eCollection 2021.