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Wang X, Ding Q, Groleau RR, Wu L, Mao Y, Che F, Kotova O, Scanlan EM, Lewis SE, Li P, Tang B, James TD, Gunnlaugsson T. Fluorescent Probes for Disease Diagnosis. Chem Rev 2024; 124:7106-7164. [PMID: 38760012 PMCID: PMC11177268 DOI: 10.1021/acs.chemrev.3c00776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 05/19/2024]
Abstract
The identification and detection of disease-related biomarkers is essential for early clinical diagnosis, evaluating disease progression, and for the development of therapeutics. Possessing the advantages of high sensitivity and selectivity, fluorescent probes have become effective tools for monitoring disease-related active molecules at the cellular level and in vivo. In this review, we describe current fluorescent probes designed for the detection and quantification of key bioactive molecules associated with common diseases, such as organ damage, inflammation, cancers, cardiovascular diseases, and brain disorders. We emphasize the strategies behind the design of fluorescent probes capable of disease biomarker detection and diagnosis and cover some aspects of combined diagnostic/therapeutic strategies based on regulating disease-related molecules. This review concludes with a discussion of the challenges and outlook for fluorescent probes, highlighting future avenues of research that should enable these probes to achieve accurate detection and identification of disease-related biomarkers for biomedical research and clinical applications.
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Affiliation(s)
- Xin Wang
- College
of Chemistry, Chemical Engineering and Materials Science, Key Laboratory
of Molecular and Nano Probes, Ministry of Education, Collaborative
Innovation Center of Functionalized Probes for Chemical Imaging in
Universities of Shandong, Institutes of Biomedical Sciences, Shandong Normal University, Jinan 250014, People’s Republic of China
| | - Qi Ding
- College
of Chemistry, Chemical Engineering and Materials Science, Key Laboratory
of Molecular and Nano Probes, Ministry of Education, Collaborative
Innovation Center of Functionalized Probes for Chemical Imaging in
Universities of Shandong, Institutes of Biomedical Sciences, Shandong Normal University, Jinan 250014, People’s Republic of China
| | | | - Luling Wu
- Department
of Chemistry, University of Bath, Bath BA2 7AY, U.K.
| | - Yuantao Mao
- College
of Chemistry, Chemical Engineering and Materials Science, Key Laboratory
of Molecular and Nano Probes, Ministry of Education, Collaborative
Innovation Center of Functionalized Probes for Chemical Imaging in
Universities of Shandong, Institutes of Biomedical Sciences, Shandong Normal University, Jinan 250014, People’s Republic of China
| | - Feida Che
- College
of Chemistry, Chemical Engineering and Materials Science, Key Laboratory
of Molecular and Nano Probes, Ministry of Education, Collaborative
Innovation Center of Functionalized Probes for Chemical Imaging in
Universities of Shandong, Institutes of Biomedical Sciences, Shandong Normal University, Jinan 250014, People’s Republic of China
| | - Oxana Kotova
- School
of Chemistry and Trinity Biomedical Sciences Institute (TBSI), Trinity College Dublin, The University of Dublin, Dublin 2 D02 R590, Ireland
- Advanced
Materials and BioEngineering Research (AMBER) Centre, Trinity College
Dublin, The University of Dublin, Dublin 2 D02 W9K7, Ireland
| | - Eoin M. Scanlan
- School
of Chemistry and Trinity Biomedical Sciences Institute (TBSI), Trinity College Dublin, The University of Dublin, Dublin 2 D02 R590, Ireland
- Synthesis
and Solid-State Pharmaceutical Centre (SSPC), School of Chemistry, Trinity College Dublin, The University of Dublin, Dublin 2 , Ireland
| | - Simon E. Lewis
- Department
of Chemistry, University of Bath, Bath BA2 7AY, U.K.
| | - Ping Li
- College
of Chemistry, Chemical Engineering and Materials Science, Key Laboratory
of Molecular and Nano Probes, Ministry of Education, Collaborative
Innovation Center of Functionalized Probes for Chemical Imaging in
Universities of Shandong, Institutes of Biomedical Sciences, Shandong Normal University, Jinan 250014, People’s Republic of China
| | - Bo Tang
- College
of Chemistry, Chemical Engineering and Materials Science, Key Laboratory
of Molecular and Nano Probes, Ministry of Education, Collaborative
Innovation Center of Functionalized Probes for Chemical Imaging in
Universities of Shandong, Institutes of Biomedical Sciences, Shandong Normal University, Jinan 250014, People’s Republic of China
- Laoshan
Laboratory, 168 Wenhai
Middle Road, Aoshanwei Jimo, Qingdao 266237, Shandong, People’s Republic of China
| | - Tony D. James
- Department
of Chemistry, University of Bath, Bath BA2 7AY, U.K.
- School
of Chemistry and Chemical Engineering, Henan
Normal University, Xinxiang 453007, People’s
Republic of China
| | - Thorfinnur Gunnlaugsson
- School
of Chemistry and Trinity Biomedical Sciences Institute (TBSI), Trinity College Dublin, The University of Dublin, Dublin 2 D02 R590, Ireland
- Advanced
Materials and BioEngineering Research (AMBER) Centre, Trinity College
Dublin, The University of Dublin, Dublin 2 D02 W9K7, Ireland
- Synthesis
and Solid-State Pharmaceutical Centre (SSPC), School of Chemistry, Trinity College Dublin, The University of Dublin, Dublin 2 , Ireland
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Abstract
Imaging of mild traumatic brain injury (TBI) using conventional techniques such as CT or MRI often results in no specific imaging correlation that would explain cognitive and clinical symptoms. Molecular imaging of mild TBI suggests that secondary events after injury can be detected using PET. However, no single specific pattern emerges that can aid in diagnosing the injury or determining the prognosis of the long-term behavioral profiles, indicating the heterogeneous and diffuse nature of TBI. Chronic traumatic encephalopathy, a primary tauopathy, has been shown to be strongly associated with repetitive TBI. In vivo data on the available tau PET tracers, however, have produced mixed results and overall low retention profiles in athletes with a history of repetitive mild TBI. Here, we emphasize that the lack of a mechanistic understanding of chronic TBI has posed a challenge when interpreting the results of molecular imaging biomarkers. We advocate for better target identification, improved analysis techniques such as machine learning or artificial intelligence, and novel tracer development.
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Affiliation(s)
- Gérard N. Bischof
- Department of Nuclear Medicine, University of Cologne, Cologne, Germany;,Institute for Neuroscience and Medicine II–Molecular Organization of the Brain, Research Center Juelich, Juelich, Germany; and
| | - Donna J. Cross
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah
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