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Chen X, Zhou S, Wang Y, Zheng L, Guan S, Wang D, Wang L, Guan X. Nanopore Single-molecule Analysis of Biomarkers: Providing Possible Clues to Disease Diagnosis. Trends Analyt Chem 2023; 162:117060. [PMID: 38106545 PMCID: PMC10722900 DOI: 10.1016/j.trac.2023.117060] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Biomarker detection has attracted increasing interest in recent years due to the minimally or non-invasive sampling process. Single entity analysis of biomarkers is expected to provide real-time and accurate biological information for early disease diagnosis and prognosis, which is critical to the effective disease treatment and is also important in personalized medicine. As an innovative single entity analysis method, nanopore sensing is a pioneering single-molecule detection technique that is widely used in analytical bioanalytical fields. In this review, we overview the recent progress of nanopore biomarker detection as new approaches to disease diagnosis. In highlighted studies, nanopore was focusing on detecting biomarkers of different categories of communicable and noncommunicable diseases, such as pandemic Covid-19, AIDS, cancers, neurologic diseases, etc. Various sensitive and selective nanopore detecting strategies for different types of biomarkers are summarized. In addition, the challenges, opportunities, and direction for future development of nanopore-based biomarker sensors are also discussed.
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Affiliation(s)
- Xiaohan Chen
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, China
| | - Shuo Zhou
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, China
| | - Yunjiao Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, China
| | - Ling Zheng
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, China
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China
| | - Sarah Guan
- Hinsdale Central High School, Hinsdale, IL 60521, USA
| | - Deqiang Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, China
| | - Liang Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, China
- Chongqing Key Laboratory of Intelligent Medicine Engineering for Hepatopancreatobiliary Diseases, University of Chinese Academy of Sciences, Chongqing 401147, China
| | - Xiyun Guan
- Department of Chemistry, Illinois Institute of Technology, Chicago, IL, 60616, USA
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