1
|
Duo Y, Han L, Yang Y, Wang Z, Wang L, Chen J, Xiang Z, Yoon J, Luo G, Tang BZ. Aggregation-Induced Emission Luminogen: Role in Biopsy for Precision Medicine. Chem Rev 2024; 124:11242-11347. [PMID: 39380213 PMCID: PMC11503637 DOI: 10.1021/acs.chemrev.4c00244] [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: 04/03/2024] [Revised: 09/11/2024] [Accepted: 09/17/2024] [Indexed: 10/10/2024]
Abstract
Biopsy, including tissue and liquid biopsy, offers comprehensive and real-time physiological and pathological information for disease detection, diagnosis, and monitoring. Fluorescent probes are frequently selected to obtain adequate information on pathological processes in a rapid and minimally invasive manner based on their advantages for biopsy. However, conventional fluorescent probes have been found to show aggregation-caused quenching (ACQ) properties, impeding greater progresses in this area. Since the discovery of aggregation-induced emission luminogen (AIEgen) have promoted rapid advancements in molecular bionanomaterials owing to their unique properties, including high quantum yield (QY) and signal-to-noise ratio (SNR), etc. This review seeks to present the latest advances in AIEgen-based biofluorescent probes for biopsy in real or artificial samples, and also the key properties of these AIE probes. This review is divided into: (i) tissue biopsy based on smart AIEgens, (ii) blood sample biopsy based on smart AIEgens, (iii) urine sample biopsy based on smart AIEgens, (iv) saliva sample biopsy based on smart AIEgens, (v) biopsy of other liquid samples based on smart AIEgens, and (vi) perspectives and conclusion. This review could provide additional guidance to motivate interest and bolster more innovative ideas for further exploring the applications of various smart AIEgens in precision medicine.
Collapse
Affiliation(s)
- Yanhong Duo
- Department
of Radiation Oncology, Shenzhen People’s Hospital, The Second
Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen 518020, Guangdong China
- Wyss
Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts 02138, United States
| | - Lei Han
- College of
Chemistry and Pharmaceutical Sciences, Qingdao
Agricultural University, 700 Changcheng Road, Qingdao 266109, Shandong China
| | - Yaoqiang Yang
- Department
of Radiation Oncology, Shenzhen People’s Hospital, The Second
Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen 518020, Guangdong China
| | - Zhifeng Wang
- Department
of Urology, Henan Provincial People’s Hospital, Zhengzhou University
People’s Hospital, Henan University
People’s Hospital, Zhengzhou, 450003, China
| | - Lirong Wang
- State
Key Laboratory of Luminescent Materials and Devices, South China University of Technology, Guangzhou 510640, China
| | - Jingyi Chen
- Wyss
Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts 02138, United States
| | - Zhongyuan Xiang
- Department
of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha 410000, Hunan, China
| | - Juyoung Yoon
- Department
of Chemistry and Nanoscience, Ewha Womans
University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea
| | - Guanghong Luo
- Department
of Radiation Oncology, Shenzhen People’s Hospital, The Second
Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen 518020, Guangdong China
| | - Ben Zhong Tang
- School
of Science and Engineering, Shenzhen Institute of Aggregate Science
and Technology, The Chinese University of
Hong Kong, Shenzhen 518172, Guangdong China
| |
Collapse
|
2
|
Zhang S, Xiang H, Tao Y, Li J, Zeng S, Xu Q, Xiao H, Lv S, Song C, Cheng Y, Li M, Zhu Z, Zhang S, Sun B, Li D, Xiang S, Tan L, Liu C. Inhibitor Development for α-Synuclein Fibril's Disordered Region to Alleviate Parkinson's Disease Pathology. J Am Chem Soc 2024. [PMID: 39327912 DOI: 10.1021/jacs.4c08869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2024]
Abstract
The amyloid fibrils of α-synuclein (α-syn) are crucial in the pathology of Parkinson's disease (PD), with the intrinsically disordered region (IDR) of its C-terminal playing a key role in interacting with receptors like LAG3 and RAGE, facilitating pathological neuronal spread and inflammation. In this study, we identified Givinostat (GS) as an effective inhibitor that disrupts the interaction of α-syn fibrils with receptors such as LAG3 and RAGE through high-throughput screening. By exploring the structure-activity relationship and optimizing GS, we developed several lead compounds, including GSD-16-24. Utilizing solution-state and solid-state NMR, along with cryo-EM techniques, we demonstrated that GSD-16-24 binds directly to the C-terminal IDR of α-syn monomer and fibril, preventing the fibril from binding to the receptors. Furthermore, GSD-16-24 significantly inhibits the association of α-syn fibrils with membrane receptors, thereby reducing neuronal propagation and pro-inflammatory effects of α-syn fibrils. Our findings introduce a novel approach to mitigate the pathological effects of α-syn fibrils by targeting their IDR with small molecules, offering potential leads for the development of clinical drugs to treat PD.
Collapse
Affiliation(s)
- Shenqing Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
- Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong University, Shanghai 201203, China
| | - Huaijiang Xiang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
- University of Chinese Academy of Sciences, Shijingshan District, Beijing 100049, China
| | - Youqi Tao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
- Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong University, Shanghai 201203, China
| | - Juan Li
- MOE Key Lab for Cellular Dynamics, School of Life Sciences, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230026 Anhui, China
| | - Shuyi Zeng
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
- Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong University, Shanghai 201203, China
| | - Qianhui Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
- University of Chinese Academy of Sciences, Shijingshan District, Beijing 100049, China
| | - Haonan Xiao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
- Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong University, Shanghai 201203, China
| | - Shiran Lv
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
- University of Chinese Academy of Sciences, Shijingshan District, Beijing 100049, China
| | - Caiwei Song
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
- University of Chinese Academy of Sciences, Shijingshan District, Beijing 100049, China
| | - Yan Cheng
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
| | - Martin Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
- Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong University, Shanghai 201203, China
| | - Zeyun Zhu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
| | - Shengnan Zhang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
| | - Bo Sun
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Dan Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
- Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong University, Shanghai 201203, China
| | - ShengQi Xiang
- MOE Key Lab for Cellular Dynamics, School of Life Sciences, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230026 Anhui, China
| | - Li Tan
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
| | - Cong Liu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
- State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China
| |
Collapse
|
3
|
Ramazi S, Dadzadi M, Darvazi M, Seddigh N, Allahverdi A. Protein modification in neurodegenerative diseases. MedComm (Beijing) 2024; 5:e674. [PMID: 39105197 PMCID: PMC11298556 DOI: 10.1002/mco2.674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 07/02/2024] [Accepted: 07/08/2024] [Indexed: 08/07/2024] Open
Abstract
Posttranslational modifications play a crucial role in governing cellular functions and protein behavior. Researchers have implicated dysregulated posttranslational modifications in protein misfolding, which results in cytotoxicity, particularly in neurodegenerative diseases such as Alzheimer disease, Parkinson disease, and Huntington disease. These aberrant posttranslational modifications cause proteins to gather in certain parts of the brain that are linked to the development of the diseases. This leads to neuronal dysfunction and the start of neurodegenerative disease symptoms. Cognitive decline and neurological impairments commonly manifest in neurodegenerative disease patients, underscoring the urgency of comprehending the posttranslational modifications' impact on protein function for targeted therapeutic interventions. This review elucidates the critical link between neurodegenerative diseases and specific posttranslational modifications, focusing on Tau, APP, α-synuclein, Huntingtin protein, Parkin, DJ-1, and Drp1. By delineating the prominent aberrant posttranslational modifications within Alzheimer disease, Parkinson disease, and Huntington disease, the review underscores the significance of understanding the interplay among these modifications. Emphasizing 10 key abnormal posttranslational modifications, this study aims to provide a comprehensive framework for investigating neurodegenerative diseases holistically. The insights presented herein shed light on potential therapeutic avenues aimed at modulating posttranslational modifications to mitigate protein aggregation and retard neurodegenerative disease progression.
Collapse
Affiliation(s)
- Shahin Ramazi
- Department of BiophysicsFaculty of Biological SciencesTarbiat Modares UniversityTehranIran
| | - Maedeh Dadzadi
- Department of BiotechnologyFaculty of Advanced Science and TechnologyTehran Medical SciencesIslamic Azad UniversityTehranIran
| | - Mona Darvazi
- Department of BiophysicsFaculty of Biological SciencesTarbiat Modares UniversityTehranIran
| | - Nasrin Seddigh
- Department of BiochemistryFaculty of Advanced Science and TechnologyTehran Medical SciencesIslamic Azad UniversityTehranIran
| | - Abdollah Allahverdi
- Department of BiophysicsFaculty of Biological SciencesTarbiat Modares UniversityTehranIran
| |
Collapse
|
4
|
Liu J, Wang Y, Huo F, He H. Ionic liquids inhibit the dynamic transition from α -helices to β -sheets in peptides. FUNDAMENTAL RESEARCH 2024; 4:777-784. [PMID: 39156578 PMCID: PMC11330114 DOI: 10.1016/j.fmre.2023.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 12/14/2023] [Accepted: 12/15/2023] [Indexed: 08/20/2024] Open
Abstract
Abnormalities in the transition between α-helices and β-sheets (α-β transition) may lead to devastating neurodegenerative diseases, such as Parkinson's syndrome and Alzheimer's disease. Ionic liquids (ILs) are potential drugs for targeted therapies against these diseases because of their excellent bioactivity and designability of ILs. However, the mechanism through which ILs regulate the α-β transition remains unclear. Herein, a combination of GPU-accelerated microsecond molecular dynamics simulations, correlation analysis, and machine learning was used to probe the dynamical α-β transition process induced by ILs of 1-alkyl-3-methylimidazolium chloride ([C n mim]Cl) and its molecular mechanism. Interestingly, the cation of [C n mim]+ in ILs can spontaneously insert into the peptides as free ions (n ≤ 10) and clusters (n ≥ 11). Such insertion can significantly inhibit the α-β, transition and the inhibiting ability for the clusters is more significant than that of free ions, where [C10mim]+ and [C12mim]+ can reduce the maximum β-sheet content of the peptide by 18.5% and 44.9%, respectively. Furthermore, the correlation analysis and machine learning method were used to develop a predictive model accounting for the influencing factors on the α-β transition, which could accurately predict the effect of ILs on the α-β transition. Overall, these quantitative results may not only deepen the understanding of the role of ILs in the α-β transition but also guide the development of the IL-based treatments for related diseases.
Collapse
Affiliation(s)
- Ju Liu
- Beijing Key Laboratory of Ionic Liquids Clean Process, State Key Laboratory of Mesoscience and Engineering, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanlei Wang
- Beijing Key Laboratory of Ionic Liquids Clean Process, State Key Laboratory of Mesoscience and Engineering, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Feng Huo
- Beijing Key Laboratory of Ionic Liquids Clean Process, State Key Laboratory of Mesoscience and Engineering, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- Longzihu New Energy Laboratory, Zhengzhou Institute of Emerging Industrial Technology, Henan University, Zhengzhou 450000, China
| | - Hongyan He
- Beijing Key Laboratory of Ionic Liquids Clean Process, State Key Laboratory of Mesoscience and Engineering, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
5
|
Bisi N, Pinzi L, Rastelli G, Tonali N. Early Diagnosis of Neurodegenerative Diseases: What Has Been Undertaken to Promote the Transition from PET to Fluorescence Tracers. Molecules 2024; 29:722. [PMID: 38338465 PMCID: PMC10856728 DOI: 10.3390/molecules29030722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 01/29/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
Alzheimer's Disease (AD) and Parkinson's Disease (PD) represent two among the most frequent neurodegenerative diseases worldwide. A common hallmark of these pathologies is the misfolding and consequent aggregation of amyloid proteins into soluble oligomers and insoluble β-sheet-rich fibrils, which ultimately lead to neurotoxicity and cell death. After a hundred years of research on the subject, this is the only reliable histopathological feature in our hands. Since AD and PD are diagnosed only once neuronal death and the first symptoms have appeared, the early detection of these diseases is currently impossible. At present, there is no effective drug available, and patients are left with symptomatic and inconclusive therapies. Several reasons could be associated with the lack of effective therapeutic treatments. One of the most important factors is the lack of selective probes capable of detecting, as early as possible, the most toxic amyloid species involved in the onset of these pathologies. In this regard, chemical probes able to detect and distinguish among different amyloid aggregates are urgently needed. In this article, we will review and put into perspective results from ex vivo and in vivo studies performed on compounds specifically interacting with such early species. Following a general overview on the three different amyloid proteins leading to insoluble β-sheet-rich amyloid deposits (amyloid β1-42 peptide, Tau, and α-synuclein), a list of the advantages and disadvantages of the approaches employed to date is discussed, with particular attention paid to the translation of fluorescence imaging into clinical applications. Furthermore, we also discuss how the progress achieved in detecting the amyloids of one neurodegenerative disease could be leveraged for research into another amyloidosis. As evidenced by a critical analysis of the state of the art, substantial work still needs to be conducted. Indeed, the early diagnosis of neurodegenerative diseases is a priority, and we believe that this review could be a useful tool for better investigating this field.
Collapse
Affiliation(s)
- Nicolò Bisi
- Université Paris-Saclay, CNRS, BioCIS, Bat. Henri Moissan, 17, Av. des Sciences, 91400 Orsay, France
| | - Luca Pinzi
- Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125 Modena, Italy; (L.P.); (G.R.)
| | - Giulio Rastelli
- Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125 Modena, Italy; (L.P.); (G.R.)
| | - Nicolò Tonali
- Université Paris-Saclay, CNRS, BioCIS, Bat. Henri Moissan, 17, Av. des Sciences, 91400 Orsay, France
| |
Collapse
|
6
|
Yin H, Fan C, Wong CC, Mao L, Huang Y, Chen GQ. Innovative chemistry research driven by medicine. FUNDAMENTAL RESEARCH 2023; 3:479-480. [PMID: 38933558 PMCID: PMC11197788 DOI: 10.1016/j.fmre.2023.05.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2024] Open
Affiliation(s)
- Hang Yin
- School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Catherine Chiulan Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing 100730, China
| | - Lanqun Mao
- College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Yanyi Huang
- College of Chemistry and Molecular Engineering, Beijing National Laboratory for Molecular Sciences, Biomedical Pioneering Innovation Center, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Guo-Qiang Chen
- Institute of Aging & Tissue Regeneration, State Key Laboratory of Systems Medicine for Cancer and Chinese Academy of Medical Sciences Research Unit (No. 2019RU043), Ren-Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| |
Collapse
|
7
|
Ozsahin I, Onakpojeruo EP, Uzun B, Uzun Ozsahin D, Butler TA. A Multi-Criteria Decision Aid Tool for Radiopharmaceutical Selection in Tau PET Imaging. Pharmaceutics 2023; 15:1304. [PMID: 37111789 PMCID: PMC10147085 DOI: 10.3390/pharmaceutics15041304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/09/2023] [Accepted: 04/19/2023] [Indexed: 04/29/2023] Open
Abstract
The accumulation of pathologically misfolded tau is a feature shared by a group of neurodegenerative disorders collectively referred to as tauopathies. Alzheimer's disease (AD) is the most prevalent of these tauopathies. Immunohistochemical evaluation allows neuropathologists to visualize paired-helical filaments (PHFs)-tau pathological lesions, but this is possible only after death and only shows tau in the portion of brain sampled. Positron emission tomography (PET) imaging allows both the quantitative and qualitative analysis of pathology over the whole brain of a living subject. The ability to detect and quantify tau pathology in vivo using PET can aid in the early diagnosis of AD, provide a way to monitor disease progression, and determine the effectiveness of therapeutic interventions aimed at reducing tau pathology. Several tau-specific PET radiotracers are now available for research purposes, and one is approved for clinical use. This study aims to analyze, compare, and rank currently available tau PET radiotracers using the fuzzy preference ranking organization method for enrichment of evaluations (PROMETHEE), which is a multi-criteria decision-making (MCDM) tool. The evaluation is based on relatively weighted criteria, such as specificity, target binding affinity, brain uptake, brain penetration, and rates of adverse reactions. Based on the selected criteria and assigned weights, this study shows that a second-generation tau tracer, [18F]RO-948, may be the most favorable. This flexible method can be extended and updated to include new tracers, additional criteria, and modified weights to help researchers and clinicians select the optimal tau PET tracer for specific purposes. Additional work is needed to confirm these results, including a systematic approach to defining and weighting criteria and clinical validation of tracers in different diseases and patient populations.
Collapse
Affiliation(s)
- Ilker Ozsahin
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA
- Operational Research Center in Healthcare, Near East University, Nicosia 99138, TRNC, Turkey
| | | | - Berna Uzun
- Operational Research Center in Healthcare, Near East University, Nicosia 99138, TRNC, Turkey
- Department of Statistics, Carlos III University of Madrid, Getafe, 28903 Madrid, Spain
| | - Dilber Uzun Ozsahin
- Operational Research Center in Healthcare, Near East University, Nicosia 99138, TRNC, Turkey
- Medical Diagnostic Imaging Department, College of Health Sciences & Research Institute for Medical and Health Sciences, University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates
| | - Tracy A. Butler
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA
| |
Collapse
|