Affiliations 

  • 1 Department of Hepato-pancreato-biliary Surgery, The Affiliated Hangzhou First People's Hospital of Zhejiang University School of Medicine, Zhejiang, 310006, Hangzhou, China
  • 2 Department of General Thoracic and Vascular Surgery, Wuhan No. 1 Hospital, Wuhan, 430022, Hubei, China
  • 3 Department of Endocrinology, The First People's Hospital of Zunyi, Zunyi, 563000, Guizhou, China
  • 4 Department of Gallbladder Pancreas and Vascular Surgery, Jingmen No. 1 People's Hospital, Jingmen, 448000, Hubei, China
  • 5 School of Bioprocess Engineering, Universiti Malaysia Perlis, 02600, Arau, Perlis, Malaysia
  • 6 Institute of Nano Electronic Engineering, Universiti Malaysia Perlis, 01000, Kangar, Perlis, Malaysia
  • 7 Department of Nuclear Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, China. huozunwei2019@sina.com
Nanoscale Res Lett, 2020 May 11;15(1):105.
PMID: 32394009 DOI: 10.1186/s11671-020-03331-y

Abstract

Abdominal aortic aneurysm (AAA) refers to the enlargement of the lower artery of the abdominal aorta, and identification of an early detection tool is urgently needed for diagnosis. In the current study, an interdigitated electrode (IDE) sensing surface was used to identify miRNA-335-5p, which reflects the formation of AAAs. The uniformity of the silica material was observed by 3D profilometry, and the chemically modified highly conductive surface improved the detection via the I-V mode. The targeted miRNA-335-5p was detected in a dose-dependent manner and based on linear regression and 3σ analyses, the sensitivity was determined to be 1 fM with a biotinylated probe. The high specificity was shown by discriminating the target sequence from noncomplementary and single- and triple-mismatched sequences. These outputs demonstrated the high-performance detection of miRNA-335-5p with good reproducibility for determination of the severity of AAA.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.