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Sun J, Cheng W, Guo S, Cai R, Liu G, Wu A, Yin J. A ratiometric SERS strategy for the prediction of cancer cell proportion and guidance of glioma surgical resection. Biosens Bioelectron 2024; 261:116475. [PMID: 38852324 DOI: 10.1016/j.bios.2024.116475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 06/01/2024] [Accepted: 06/05/2024] [Indexed: 06/11/2024]
Abstract
Rapid and accurate identification of tumor boundaries is critical for the cure of glioma, but it is difficult due to the invasive nature of glioma cells. This paper aimed to explore a rapid diagnostic strategy based on a label-free surface-enhanced Raman scattering (SERS) technique for the quantitative detection of glioma cell proportion intraoperatively. With silver nanoparticles as substrate, an in-depth SERS analysis was performed on simulated clinical samples containing normal brain tissue and different concentrations of patient-derived glioma cells. The results revealed two universal characteristic peaks of 655 and 717 cm-1, which strongly correlated with glioma cell proportion regardless of individual differences. Based on the intensity ratio of the two peaks, a ratiometric SERS strategy for the quantification of glioma cells was established by employing an artificial neuron network model and a polynomial regression model. Such a strategy accurately estimated the proportion of glioma cells in simulated clinical samples (R2 = 0.98) and frozen samples (R2 = 0.85). More importantly, it accurately facilitated the delineation of tumor margins in freshly obtained samples. Taken together, this SERS-based method ensured a rapid and more detailed identification of tumor margins during surgical resection, which could be beneficial for intraoperative decision-making and pathological evaluation.
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Affiliation(s)
- Jiaojiao Sun
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, PR China
| | - Wen Cheng
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, PR China
| | - Songyi Guo
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, PR China
| | - Ruikai Cai
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, PR China
| | - Guangxing Liu
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, PR China.
| | - Anhua Wu
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, PR China.
| | - Jian Yin
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, PR China.
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2
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Eremina OE, Vazquez C, Larson KN, Mouchawar A, Fernando A, Zavaleta C. The evolution of immune profiling: will there be a role for nanoparticles? NANOSCALE HORIZONS 2024. [PMID: 39254004 DOI: 10.1039/d4nh00279b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
Abstract
Immune profiling provides insights into the functioning of the immune system, including the distribution, abundance, and activity of immune cells. This understanding is essential for deciphering how the immune system responds to pathogens, vaccines, tumors, and other stimuli. Analyzing diverse immune cell types facilitates the development of personalized medicine approaches by characterizing individual variations in immune responses. With detailed immune profiles, clinicians can tailor treatment strategies to the specific immune status and needs of each patient, maximizing therapeutic efficacy while minimizing adverse effects. In this review, we discuss the evolution of immune profiling, from interrogating bulk cell samples in solution to evaluating the spatially-rich molecular profiles across intact preserved tissue sections. We also review various multiplexed imaging platforms recently developed, based on immunofluorescence and imaging mass spectrometry, and their impact on the field of immune profiling. Identifying and localizing various immune cell types across a patient's sample has already provided important insights into understanding disease progression, the development of novel targeted therapies, and predicting treatment response. We also offer a new perspective by highlighting the unprecedented potential of nanoparticles (NPs) that can open new horizons in immune profiling. NPs are known to provide enhanced detection sensitivity, targeting specificity, biocompatibility, stability, multimodal imaging features, and multiplexing capabilities. Therefore, we summarize the recent developments and advantages of NPs, which can contribute to advancing our understanding of immune function to facilitate precision medicine. Overall, NPs have the potential to offer a versatile and robust approach to profile the immune system with improved efficiency and multiplexed imaging power.
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Affiliation(s)
- Olga E Eremina
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA.
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Celine Vazquez
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA.
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Kimberly N Larson
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA.
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Anthony Mouchawar
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA.
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Augusta Fernando
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA.
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Cristina Zavaleta
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA.
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
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3
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Xue SS, Zhu W, Li Y, Pan W, Li N, Tang B. Dual-stimuli responsive theranostic agents based on small molecules. Chem Commun (Camb) 2024; 60:9860-9870. [PMID: 39157895 DOI: 10.1039/d4cc02565b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/20/2024]
Abstract
Stimuli-responsive theranostic agents represent a class of molecules that integrate therapeutic and diagnostic functions, offering the capability to respond to disease-associated biomarkers. Dual-stimuli responsive agents, particularly those based on small molecules, have shown considerable promise for precise imaging-guided therapeutic applications. In this Highlight, we summarize the progress of dual-stimuli responsive theranostic agents based on small molecules, for diagnostic and therapeutic studies in biological systems. The Highlight focuses on comparing different responsive groups and chemical structures of these dual-stimuli responsive theranostic agents towards different biomarkers. The potential future directions of the agents for further applications in biological systems are also discussed.
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Affiliation(s)
- Shan-Shan Xue
- 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, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, P. R. China.
| | - Wanqi Zhu
- 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, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, P. R. China.
| | - Yuanyuan 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, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, P. R. China.
| | - Wei Pan
- 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, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, P. R. China.
| | - Na 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, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, P. R. 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, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, P. R. China.
- Laoshan Laboratory, Qingdao 266237, P. R. China
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4
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Wen Y, Liu R, Xie Y, Li M. Targeted SERS Imaging and Intraoperative Real-Time Elimination of Microscopic Tumors for Improved Breast-Conserving Surgery. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2405253. [PMID: 38820719 DOI: 10.1002/adma.202405253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 05/20/2024] [Indexed: 06/02/2024]
Abstract
Breast-conserving surgery is the favorable option for breast cancer patients owing to its advantages of less aggressiveness and better cosmetic outcomes over mastectomy. However, it often suffers from postsurgical lethal recurrence due to the incomplete removal of microscopic tumors. Here, a surface-enhanced Raman scattering (SERS) surgical strategy is reported for precise delineation of tumor margins and intraoperative real-time elimination of microscopic tumor foci, which is capable of complete surgical removal of breast tumors and significantly improve the outcomes of breast-conserving surgery without local tumor recurrence. The technique is chiefly based on the human epidermal growth factor receptor 2 (HER2)-targeting SERS probes with integrated multifunctionalities of ultrahigh sensitive detection, significant HER2 expression suppression, cell proliferation inhibition, and superior photothermal ablation. In a HER2+ breast tumor mouse model, the remarkable capability of the SERS surgical strategy for complete removal of HER2+ breast tumors through SERS-guided surgical resection and intraoperative real-time photothermal elimination is demonstrated. The results show complete eradiation of HER2+ breast tumors without local recurrence, consequently delivering a 100% tumor-free survival. Expectedly, this SERS surgical strategy holds great promise for clinical treatment of HER2+ breast cancer with improved patients' survival.
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Affiliation(s)
- Yu Wen
- School of Materials Science and Engineering, Central South University, Changsha, Hunan, 410083, China
- Furong Laboratory, Central South University, Changsha, Hunan, 410008, China
| | - Ruoxuan Liu
- School of Materials Science and Engineering, Central South University, Changsha, Hunan, 410083, China
| | - Yangcenzi Xie
- School of Materials Science and Engineering, Central South University, Changsha, Hunan, 410083, China
| | - Ming Li
- School of Materials Science and Engineering, Central South University, Changsha, Hunan, 410083, China
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Abstract
Cancers undergo sequential changes to proton (H+) concentration and sensing that are consequences of the disease and facilitate its further progression. The impact of protonation state on protein activity can arise from alterations to amino acids or their titration. Indeed, many cancer-initiating mutations influence pH balance, regulation or sensing in a manner that enables growth and invasion outside normal constraints as part of oncogenic transformation. These cancer-supporting effects become more prominent when tumours develop an acidic microenvironment owing to metabolic reprogramming and disordered perfusion. The ensuing intracellular and extracellular pH disturbances affect multiple aspects of tumour biology, ranging from proliferation to immune surveillance, and can even facilitate further mutagenesis. As a selection pressure, extracellular acidosis accelerates disease progression by favouring acid-resistant cancer cells, which are typically associated with aggressive phenotypes. Although acid-base disturbances in tumours often occur alongside hypoxia and lactate accumulation, there is now ample evidence for a distinct role of H+-operated responses in key events underpinning cancer. The breadth of these actions presents therapeutic opportunities to change the trajectory of disease.
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Affiliation(s)
- Pawel Swietach
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.
| | - Ebbe Boedtkjer
- Department of Biomedicine, Aarhus University, Aarhus, Denmark.
| | - Stine Falsig Pedersen
- Department of Biology, University of Copenhagen, University of Copenhagen, Faculty of Science, København, Denmark.
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6
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Kanehira Y, Tapio K, Wegner G, Kogikoski S, Rüstig S, Prietzel C, Busch K, Bald I. The Effect of Nanoparticle Composition on the Surface-Enhanced Raman Scattering Performance of Plasmonic DNA Origami Nanoantennas. ACS NANO 2023; 17:21227-21239. [PMID: 37847540 DOI: 10.1021/acsnano.3c05464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2023]
Abstract
A versatile generation of plasmonic nanoparticle dimers for surface-enhanced Raman scattering (SERS) is presented by combining a DNA origami nanofork and spherical and nonspherical Au or Ag nanoparticles. Combining different nanoparticle species with a DNA origami nanofork to form DNA origami nanoantennas (DONAs), the plasmonic nanoparticle dimers can be optimized for a specific excitation wavelength in SERS. The preparation of such nanoparticle dimers is robust enough to enable the characterization of SERS intensities and SERS enhancement factors of dye-modified DONAs on a single dimer level by measuring in total several thousands of dimers from five different dimer designs, each functionalized with three different Raman reporter molecules and measured at four different excitation wavelengths. Based on these data, SERS enhancement factor (EF) distributions have been determined for each dimer design and excitation wavelengths. The structures and measurement conditions with the highest EFs are suitable for single-molecule SERS (SM-SERS), which is realized by placing single dye molecules into hot spots. We demonstrate that the probability of placing single molecules in a strongly enhancing hot spot for SM-SERS can be increased by using anisotropic nanoparticles with several sharp edges, such as nanoflowers. Combining a Ag nanoparticle with a Au particle in one dimer structure allows for a broadband excitation covering almost the whole visible range. The most versatile plasmonic dimer structure for SERS combines a spherical Ag nanoparticle with a Au nanoflower. Employing the discontinuous Galerkin time domain method, we numerically investigate the bare, symmetric dimers with respect to spectral and near-field properties, showing that, indeed, the nanoflowers induce multiple hot spots located at the edges which surpass the intensity of the spherical dimers, indicating the possibility for SM-SERS. The presented DONA structures and SERS data provide a robust basis for applying such designs as versatile SERS tags and as substrates for SM-SERS measurements.
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Affiliation(s)
- Yuya Kanehira
- Hybrid Nanostructures Lab, Institute of Chemistry, University of Potsdam, 14476 Potsdam, Germany
| | - Kosti Tapio
- Hybrid Nanostructures Lab, Institute of Chemistry, University of Potsdam, 14476 Potsdam, Germany
| | - Gino Wegner
- AG Theoretical Optics & Photonics, Institute of Physics, Humboldt University of Berlin, 12489 Berlin, Germany
- Institute of Condensed Matter Theory and Optics, Friedrich-Schiller-University Jena, 07743 Jena, Germany
| | - Sergio Kogikoski
- Hybrid Nanostructures Lab, Institute of Chemistry, University of Potsdam, 14476 Potsdam, Germany
| | - Sibylle Rüstig
- Hybrid Nanostructures Lab, Institute of Chemistry, University of Potsdam, 14476 Potsdam, Germany
| | - Claudia Prietzel
- Hybrid Nanostructures Lab, Institute of Chemistry, University of Potsdam, 14476 Potsdam, Germany
| | - Kurt Busch
- AG Theoretical Optics & Photonics, Institute of Physics, Humboldt University of Berlin, 12489 Berlin, Germany
- Max Born Institute, 12489 Berlin, Germany
| | - Ilko Bald
- Hybrid Nanostructures Lab, Institute of Chemistry, University of Potsdam, 14476 Potsdam, Germany
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7
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Cao C, Yin H, Yang B, Yue Q, Wu G, Gu M, Zhang Y, Fan Y, Dong X, Wang T, Wang C, Zhu X, Mao Y, Zhang X, Lei Z, Li C. Intra-Operative Definition of Glioma Infiltrative Margins by Visualizing Immunosuppressive Tumor-Associated Macrophages. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2304020. [PMID: 37544917 PMCID: PMC10558635 DOI: 10.1002/advs.202304020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Indexed: 08/08/2023]
Abstract
Accurate delineation of glioma infiltrative margins remains a challenge due to the low density of cancer cells in these regions. Here, a hierarchical imaging strategy to define glioma margins by locating the immunosuppressive tumor-associated macrophages (TAMs) is proposed. A pH ratiometric fluorescent probe CP2-M that targets immunosuppressive TAMs by binding to mannose receptor (CD206) is developed, and it subsequently senses the acidic phagosomal lumen, resulting in a remarkable fluorescence enhancement. With assistance of CP2-M, glioma xenografts in mouse models with a tumor-to-background ratio exceeding 3.0 for up to 6 h are successfully visualized. Furthermore, by intra-operatively mapping the pH distribution of exposed tissue after craniotomy, the glioma allograft in rat models is precisely excised. The overall survival of rat models significantly surpasses that achieved using clinically employed fluorescent probes. This work presents a novel strategy for locating glioma margins, thereby improving surgical outcomes for tumors with infiltrative characteristics.
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Affiliation(s)
- Chong Cao
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
| | - Hang Yin
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
| | - Biao Yang
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
| | - Qi Yue
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
| | - Guoqing Wu
- School of Information Science and TechnologyFudan UniversityShanghai200438China
| | - Meng Gu
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
| | - Yuwen Zhang
- Institute of Science and Technology for Brain‐Inspired IntelligenceMOE Key Laboratory of Computational Neuroscience and Brain‐Inspired IntelligenceMOE Frontiers Center for Brain ScienceFudan University220 Handan RoadShanghai200433China
| | - Yang Fan
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
| | - Xiaoyan Dong
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
| | - Ting Wang
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
| | - Cong Wang
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
| | - Xiao Zhu
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
| | - Ying Mao
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
| | - Xiao‐Yong Zhang
- Institute of Science and Technology for Brain‐Inspired IntelligenceMOE Key Laboratory of Computational Neuroscience and Brain‐Inspired IntelligenceMOE Frontiers Center for Brain ScienceFudan University220 Handan RoadShanghai200433China
| | - Zuhai Lei
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
| | - Cong Li
- Key Laboratory of Smart Drug Delivery Ministry of EducationInnovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of EducationSchool of PharmacyDepartment of Neurosurgery, Huashan HospitalFudan UniversityShanghai201203China
- State Key Laboratory of Medical NeurobiologyZhongshan HospitalFudan UniversityShanghai200032China
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8
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Duan W, Wang C, Jiang Y, Sui A, Li Z, Wang L, Lei Z, Aime S, Yu J, Li C. A Ratiometric SERS Probe for Imaging the Macrophage Phenotypes in Live Mice with Epilepsy and Brain Tumor. Adv Healthc Mater 2023; 12:e2301000. [PMID: 37580893 DOI: 10.1002/adhm.202301000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 07/17/2023] [Indexed: 08/16/2023]
Abstract
Macrophage performs multiple functions such as pathogen phagocytosis, antigen presentation, and tissue remodeling by polarizing toward a spectrum of phenotypes. Dynamic imaging of macrophage phenotypes is critical for evaluating disease progression and the therapeutic response of drug candidates. However, current technologies cannot identify macrophage phenotypes in vivo. Herein, a surface-enhanced Raman scattering nanoprobe, AH1, which enables the accurate determination of physiological pH with high sensitivity and tissue penetration depth through ratiometric Raman signals is developed. Due to the phenotype-dependent metabolic reprogramming, AH1 can effectively identify macrophage subpopulations by measuring the acidity levels in phagosomes. After intravenous administration, AH1 not only visualizes the spatial distribution of macrophage phenotypes in brain tumors and epileptic regions of mouse models, but also reveals the repolarization of macrophages in brain lesions after drug intervention. This work provides a new tool for dynamically monitoring the disease-associated immune microenvironment and evaluating the efficacy of immune-therapeutics in vivo.
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Affiliation(s)
- Wenjia Duan
- Key Laboratory of Smart Drug Delivery, Ministry of Education; Innovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of Education, School of Pharmacy, Fudan University, Shanghai, 201203, China
- Department of Forensic Toxicology, Academy of Forensic Science, Ministry of Justice, Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Science Platform, Shanghai, 200063, China
| | - Cong Wang
- Key Laboratory of Smart Drug Delivery, Ministry of Education; Innovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of Education, School of Pharmacy, Fudan University, Shanghai, 201203, China
- State Key Laboratory of Medical Neurobiology, Zhongshan Hospital, Shanghai Fifth People's Hospital, Fudan University, Shanghai, 201203, China
| | - Yiqing Jiang
- Key Laboratory of Smart Drug Delivery, Ministry of Education; Innovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of Education, School of Pharmacy, Fudan University, Shanghai, 201203, China
| | - An Sui
- School of Information Science and Technology, Fudan University, Shanghai, 200433, China
| | - Zhi Li
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Lu Wang
- Key Laboratory of Smart Drug Delivery, Ministry of Education; Innovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of Education, School of Pharmacy, Fudan University, Shanghai, 201203, China
| | - Zuhai Lei
- Key Laboratory of Smart Drug Delivery, Ministry of Education; Innovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of Education, School of Pharmacy, Fudan University, Shanghai, 201203, China
| | - Silvio Aime
- Department of Molecular Biotechnologies, Health Sciences Molecular Imaging Center, University of Torino, Torino, 10126, Italy
| | - Jinhua Yu
- School of Information Science and Technology, Fudan University, Shanghai, 200433, China
| | - Cong Li
- Key Laboratory of Smart Drug Delivery, Ministry of Education; Innovative Center for New Drug Development of Immune Inflammatory Diseases, Ministry of Education, School of Pharmacy, Fudan University, Shanghai, 201203, China
- State Key Laboratory of Medical Neurobiology, Zhongshan Hospital, Shanghai Fifth People's Hospital, Fudan University, Shanghai, 201203, China
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9
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Zeng S, Liu X, Kafuti YS, Kim H, Wang J, Peng X, Li H, Yoon J. Fluorescent dyes based on rhodamine derivatives for bioimaging and therapeutics: recent progress, challenges, and prospects. Chem Soc Rev 2023; 52:5607-5651. [PMID: 37485842 DOI: 10.1039/d2cs00799a] [Citation(s) in RCA: 38] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Since their inception, rhodamine dyes have been extensively applied in biotechnology as fluorescent markers or for the detection of biomolecules owing to their good optical physical properties. Accordingly, they have emerged as a powerful tool for the visualization of living systems. In addition to fluorescence bioimaging, the molecular design of rhodamine derivatives with disease therapeutic functions (e.g., cancer and bacterial infection) has recently attracted increased research attention, which is significantly important for the construction of molecular libraries for diagnostic and therapeutic integration. However, reviews focusing on integrated design strategies for rhodamine dye-based diagnosis and treatment and their wide application in disease treatment are extremely rare. In this review, first, a brief history of the development of rhodamine fluorescent dyes, the transformation of rhodamine fluorescent dyes from bioimaging to disease therapy, and the concept of optics-based diagnosis and treatment integration and its significance to human development are presented. Next, a systematic review of several excellent rhodamine-based derivatives for bioimaging, as well as for disease diagnosis and treatment, is presented. Finally, the challenges in practical integration of rhodamine-based diagnostic and treatment dyes and the future outlook of clinical translation are also discussed.
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Affiliation(s)
- Shuang Zeng
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Dalian University of Technology, 2 Linggong Road, Dalian 116024, China.
- School of Bioengineering, Dalian University of Technology, 2 Linggong Road, Hi-tech Zone, Dalian 116024, China
| | - Xiaosheng Liu
- School of Bioengineering, Dalian University of Technology, 2 Linggong Road, Hi-tech Zone, Dalian 116024, China
| | - Yves S Kafuti
- School of Bioengineering, Dalian University of Technology, 2 Linggong Road, Hi-tech Zone, Dalian 116024, China
| | - Heejeong Kim
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul 03760, Korea.
| | - Jingyun Wang
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Dalian University of Technology, 2 Linggong Road, Dalian 116024, China.
- School of Bioengineering, Dalian University of Technology, 2 Linggong Road, Hi-tech Zone, Dalian 116024, China
| | - Xiaojun Peng
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Dalian University of Technology, 2 Linggong Road, Dalian 116024, China.
| | - Haidong Li
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Dalian University of Technology, 2 Linggong Road, Dalian 116024, China.
- School of Bioengineering, Dalian University of Technology, 2 Linggong Road, Hi-tech Zone, Dalian 116024, China
- Provincial Key Laboratory of Interdisciplinary Medical Engineering for Gastrointestinal Carcinoma, Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital & Institute), Shenyang, Liaoning 110042, China
| | - Juyoung Yoon
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul 03760, Korea.
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10
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Li Q, Huo H, Wu Y, Chen L, Su L, Zhang X, Song J, Yang H. Design and Synthesis of SERS Materials for In Vivo Molecular Imaging and Biosensing. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2202051. [PMID: 36683237 PMCID: PMC10015885 DOI: 10.1002/advs.202202051] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 12/14/2022] [Indexed: 06/17/2023]
Abstract
Surface-enhanced Raman scattering (SERS) is a feasible and ultra-sensitive method for biomedical imaging and disease diagnosis. SERS is widely applied to in vivo imaging due to the development of functional nanoparticles encoded by Raman active molecules (SERS nanoprobes) and improvements in instruments. Herein, the recent developments in SERS active materials and their in vivo imaging and biosensing applications are overviewed. Various SERS substrates that have been successfully used for in vivo imaging are described. Then, the applications of SERS imaging in cancer detection and in vivo intraoperative guidance are summarized. The role of highly sensitive SERS biosensors in guiding the detection and prevention of diseases is discussed in detail. Moreover, its role in the identification and resection of microtumors and as a diagnostic and therapeutic platform is also reviewed. Finally, the progress and challenges associated with SERS active materials, equipment, and clinical translation are described. The present evidence suggests that SERS could be applied in clinical practice in the future.
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Affiliation(s)
- Qingqing Li
- MOE Key Laboratory for Analytical Science of Food Safety and BiologyCollege of ChemistryFuzhou UniversityFuzhou350108P. R. China
| | - Hongqi Huo
- Department of Nuclear MedicineHan Dan Central HospitalHandanHebei056001P. R. China
| | - Ying Wu
- MOE Key Laboratory for Analytical Science of Food Safety and BiologyCollege of ChemistryFuzhou UniversityFuzhou350108P. R. China
| | - Lanlan Chen
- MOE Key Laboratory for Analytical Science of Food Safety and BiologyCollege of ChemistryFuzhou UniversityFuzhou350108P. R. China
| | - Lichao Su
- MOE Key Laboratory for Analytical Science of Food Safety and BiologyCollege of ChemistryFuzhou UniversityFuzhou350108P. R. China
| | - Xuan Zhang
- MOE Key Laboratory for Analytical Science of Food Safety and BiologyCollege of ChemistryFuzhou UniversityFuzhou350108P. R. China
| | - Jibin Song
- MOE Key Laboratory for Analytical Science of Food Safety and BiologyCollege of ChemistryFuzhou UniversityFuzhou350108P. R. China
| | - Huanghao Yang
- MOE Key Laboratory for Analytical Science of Food Safety and BiologyCollege of ChemistryFuzhou UniversityFuzhou350108P. R. China
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11
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Itoh T, Procházka M, Dong ZC, Ji W, Yamamoto YS, Zhang Y, Ozaki Y. Toward a New Era of SERS and TERS at the Nanometer Scale: From Fundamentals to Innovative Applications. Chem Rev 2023; 123:1552-1634. [PMID: 36745738 PMCID: PMC9952515 DOI: 10.1021/acs.chemrev.2c00316] [Citation(s) in RCA: 86] [Impact Index Per Article: 86.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Indexed: 02/08/2023]
Abstract
Surface-enhanced Raman scattering (SERS) and tip-enhanced Raman scattering (TERS) have opened a variety of exciting research fields. However, although a vast number of applications have been proposed since the two techniques were first reported, none has been applied to real practical use. This calls for an update in the recent fundamental and application studies of SERS and TERS. Thus, the goals and scope of this review are to report new directions and perspectives of SERS and TERS, mainly from the viewpoint of combining their mechanism and application studies. Regarding the recent progress in SERS and TERS, this review discusses four main topics: (1) nanometer to subnanometer plasmonic hotspots for SERS; (2) Ångström resolved TERS; (3) chemical mechanisms, i.e., charge-transfer mechanism of SERS and semiconductor-enhanced Raman scattering; and (4) the creation of a strong bridge between the mechanism studies and applications.
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Affiliation(s)
- Tamitake Itoh
- Health
and Medical Research Institute, National
Institute of Advanced Industrial Science and Technology (AIST), 2217-14 Hayashi-cho, Takamatsu, 761-0395Kagawa, Japan
| | - Marek Procházka
- Faculty
of Mathematics and Physics, Institute of Physics, Charles University, Ke Karlovu 5, 121 16Prague 2, Czech Republic
| | - Zhen-Chao Dong
- Hefei
National Research Center for Physical Sciences at the Microscale, University of Science and Technique of China, Hefei230026, China
| | - Wei Ji
- College
of Chemistry, Chemical Engineering, and Resource Utilization, Northeast Forestry University, Harbin145040, China
| | - Yuko S. Yamamoto
- School
of Materials Science, Japan Advanced Institute
of Science and Technology (JAIST), Nomi, 923-1292Ishikawa, Japan
| | - Yao Zhang
- Hefei
National Research Center for Physical Sciences at the Microscale, University of Science and Technique of China, Hefei230026, China
| | - Yukihiro Ozaki
- School of
Biological and Environmental Sciences, Kwansei
Gakuin University, 2-1,
Gakuen, Sanda, 669-1330Hyogo, Japan
- Toyota
Physical and Chemical Research Institute, Nagakute, 480-1192Aichi, Japan
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12
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Li Z, Sun W, Duan W, Jiang Y, Chen M, Lin G, Wang Q, Fan Z, Tong Y, Chen L, Li J, Cheng G, Wang C, Li C, Chen L. Guiding Epilepsy Surgery with an LRP1-Targeted SPECT/SERRS Dual-Mode Imaging Probe. ACS APPLIED MATERIALS & INTERFACES 2023; 15:14-25. [PMID: 35588160 DOI: 10.1021/acsami.2c02540] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Accurate identification of the resectable epileptic lesion is a precondition of operative intervention to drug-resistant epilepsy (DRE) patients. However, even when multiple diagnostic modalities are combined, epileptic foci cannot be accurately identified in ∼30% of DRE patients. Inflammation-associated low-density lipoprotein receptor-related protein-1 (LRP1) has been validated to be a surrogate target for imaging epileptic foci. Here, we reported an LRP1-targeted dual-mode probe that is capable of providing comprehensive epilepsy information preoperatively with SPECT imaging while intraoperatively delineating epileptic margins in a sensitive high-contrast manner with surface-enhanced resonance Raman scattering (SERRS) imaging. Notably, a novel and universal strategy for constructing self-assembled monolayer (SAM)-based Raman reporters was proposed for boosting the sensitivity, stability, reproducibility, and quantifiability of the SERRS signal. The probe showed high efficacy to penetrate the blood-brain barrier. SPECT imaging showed the probe could delineate the epileptic foci clearly with a high target-to-background ratio (4.11 ± 0.71, 2 h). Further, with the assistance of the probe, attenuated seizure frequency in the epileptic mouse models was achieved by using SPECT together with Raman images before and during operation, respectively. Overall, this work highlights a new strategy to develop a SPECT/SERRS dual-mode probe for comprehensive epilepsy surgery that can overcome the brain shift by the co-registration of preoperative SPECT and SERRS intraoperative images.
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Affiliation(s)
- Zhi Li
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Wanbing Sun
- Department of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai 200433, China
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Wenjia Duan
- Key Laboratory of Smart Drug Delivery, Ministry of Education, State Key Laboratory of Medical Neurobiology, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Yiqing Jiang
- Key Laboratory of Smart Drug Delivery, Ministry of Education, State Key Laboratory of Medical Neurobiology, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Ming Chen
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Guorong Lin
- Key Laboratory of Smart Drug Delivery, Ministry of Education, State Key Laboratory of Medical Neurobiology, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Qinyue Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Zhen Fan
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yusheng Tong
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Luo Chen
- Key Laboratory of Smart Drug Delivery, Ministry of Education, State Key Laboratory of Medical Neurobiology, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Jianing Li
- Key Laboratory of Smart Drug Delivery, Ministry of Education, State Key Laboratory of Medical Neurobiology, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Guangli Cheng
- Key Laboratory of Smart Drug Delivery, Ministry of Education, State Key Laboratory of Medical Neurobiology, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Cong Wang
- Key Laboratory of Smart Drug Delivery, Ministry of Education, State Key Laboratory of Medical Neurobiology, School of Pharmacy, Fudan University, Shanghai 201203, China
- Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai 201602, China
| | - Cong Li
- Key Laboratory of Smart Drug Delivery, Ministry of Education, State Key Laboratory of Medical Neurobiology, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Liang Chen
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai 200032, China
- National Center for Neurological Disorders, Shanghai 200040, China
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13
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Cheng K, Duan Q, Hu J, Li C, Ma X, Bian X, Duan C, Xiong Y, Lin J, Lu H, Deng L, Li Z, Wei M, Lyu J, Chen L, Lou X. Evaluation of postcontrast images of intracranial tumors at 7T and 3T MRI: An intra-individual comparison study. CNS Neurosci Ther 2022; 29:559-565. [PMID: 36468424 PMCID: PMC9873521 DOI: 10.1111/cns.14036] [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: 08/12/2022] [Revised: 11/06/2022] [Accepted: 11/07/2022] [Indexed: 12/09/2022] Open
Abstract
AIM This study aimed to evaluate the diagnostic value of ultrahigh-field magnetic resonance imaging (MRI) for brain tumors in clinical practice. METHODS Thirty patients with brain tumors underwent 7- and 3-T MRI. The performance and diagnostic confidence of 7- and 3-T MRI in the visualization of tumor details such as internal structure and feeding artery were evaluated by radiologists. Contrast-enhanced region performance and tumor detail diagnostic confidence score (DCS) were calculated and compared between 7 and 3T using Wilcoxon rank sum test. RESULTS In 19 with obvious enhancement and 11 cases without obvious enhancement, 7- and 3-T MRI showed similar performance. The tumors' internal structure and feeding artery were more clearly depicted by 7-T MRI (62.2% and 54.4%, respectively) than by 3-T MRI (2.2% and 6.7%, respectively). Furthermore, the mean DCSs of both internal structure and feeding artery were higher at 7T than at 3T (internal structure: 16.29 ± 9.67 vs. -5.79 ± 4.12, p = 0.028; feeding artery: 21.96 ± 6.93 vs. 4.46 ± 7.07, p = 0.028). The DCS was more significantly improved in the senior radiologist group. CONCLUSION Better visualization of brain tumor details and higher tumor detail diagnostic confidence can be obtained with 7-T MRI.
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Affiliation(s)
- Kun Cheng
- Department of RadiologyChinese PLA General HospitalBeijingChina,School of Medical ImagingGuizhou Medical UniversityGuiyangChina
| | - Qi Duan
- Medical School of Chinese PLABeijingChina
| | - Jianxing Hu
- Department of RadiologyChinese PLA General HospitalBeijingChina
| | - Chenxi Li
- Medical School of Chinese PLABeijingChina
| | - Xiaoxiao Ma
- Department of RadiologyChinese PLA General HospitalBeijingChina
| | - Xiangbing Bian
- Department of RadiologyChinese PLA General HospitalBeijingChina
| | - Caohui Duan
- Department of RadiologyChinese PLA General HospitalBeijingChina
| | - Yongqin Xiong
- Department of RadiologyChinese PLA General HospitalBeijingChina
| | - Jiaji Lin
- Department of RadiologyChinese PLA General HospitalBeijingChina
| | - Haoxuan Lu
- Medical School of Chinese PLABeijingChina
| | - Linlin Deng
- School of Medical ImagingGuizhou Medical UniversityGuiyangChina
| | - Ze Li
- Department of NeurosurgeryChinese PLA General HospitalBeijingChina
| | - Mengting Wei
- School of Medical ImagingGuizhou Medical UniversityGuiyangChina
| | - Jinhao Lyu
- Department of RadiologyChinese PLA General HospitalBeijingChina
| | - Ling Chen
- Department of NeurosurgeryChinese PLA General HospitalBeijingChina
| | - Xin Lou
- Department of RadiologyChinese PLA General HospitalBeijingChina,School of Medical ImagingGuizhou Medical UniversityGuiyangChina,Medical School of Chinese PLABeijingChina
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14
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Zhang S, Wang T, Wang X, Liao W, Wang X, Yuan Y, Chen G, Jia X. A novel aggregation-induced emission fluorescent probe with large Stokes shift for sensitive detection of pH changes in live cells. LUMINESCENCE 2022; 37:2139-2144. [PMID: 36367244 DOI: 10.1002/bio.4407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 10/04/2022] [Accepted: 11/09/2022] [Indexed: 11/13/2022]
Abstract
The detection of intracellular pH is crucial for elucidating the pathological process of cancers, as well as for medical diagnostic applications. Here, we developed an aggregation-induced emission active pH-responsive fluorescent probe (TPE-DCP) for sensitively detecting cell pH changes. The probe shows obvious pH-sensing properties at ~615 nm, with a pKa value of 6.82 and a good linear pH response ranging from 8.5 to 4.5. TPE-DCP holds advantages such as excellent anti-interference performance, good photostability, and low cytotoxicity, and has been successfully used to image intracellular pH changes in cells.
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Affiliation(s)
- Shuwei Zhang
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, China
| | - Ting Wang
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, China
| | - Xuewen Wang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Wenyi Liao
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, China
| | - Xinyao Wang
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, China
| | - Yu Yuan
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, China
| | - Gang Chen
- College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Xiaodong Jia
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, China
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15
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Zhao J, Wang C, Sun W, Li C. Tailoring Materials for Epilepsy Imaging: From Biomarkers to Imaging Probes. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2203667. [PMID: 35735191 DOI: 10.1002/adma.202203667] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 06/11/2022] [Indexed: 06/15/2023]
Abstract
Excising epileptic foci (EF) is the most efficient approach for treating drug-resistant epilepsy (DRE). However, owing to the vast heterogeneity of epilepsies, EF in one-third of patients cannot be accurately located, even after exhausting all current diagnostic strategies. Therefore, identifying biomarkers that truly represent the status of epilepsy and fabricating probes with high targeting specificity are prerequisites for identifying the "concealed" EF. However, no systematic summary of this topic has been published. Herein, the potential biomarkers of EF are first summarized and classified into three categories: functional, molecular, and structural aberrances during epileptogenesis, a procedure of nonepileptic brain biasing toward epileptic tissue. The materials used to fabricate these imaging probes and their performance in defining the EF in preclinical and clinical studies are highlighted. Finally, perspectives for developing the next generation of probes and their challenges in clinical translation are discussed. In general, this review can be helpful in guiding the development of imaging probes defining EF with improved accuracy and holds promise for increasing the number of DRE patients who are eligible for surgical intervention.
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Affiliation(s)
- Jing Zhao
- Key Laboratory of Smart Drug Delivery, Ministry of Education, School of Pharmacy, Fudan University, Zhangheng Road 826, Shanghai, 201203, China
| | - Cong Wang
- Key Laboratory of Smart Drug Delivery, Ministry of Education, School of Pharmacy, Fudan University, Zhangheng Road 826, Shanghai, 201203, China
- Academy for Engineering and Technology, Fudan University, 20 Handan Road, Yangpu District, Shanghai, 200433, China
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, 200031, China
| | - Wanbing Sun
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Cong Li
- Key Laboratory of Smart Drug Delivery, Ministry of Education, School of Pharmacy, Fudan University, Zhangheng Road 826, Shanghai, 201203, China
- State Key Laboratory of Medical Neurobiology, School of Pharmacy, Fudan University, Shanghai, 201203, China
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16
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Li J, Liu F, Ye J. Boosting the Brightness of Thiolated Surface-Enhanced Raman Scattering Nanoprobes by Maximal Utilization of the Three-Dimensional Volume of Electromagnetic Fields. J Phys Chem Lett 2022; 13:6496-6502. [PMID: 35820179 DOI: 10.1021/acs.jpclett.2c01741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Self-assembled monolayers (SAMs) of thiols on plasmonic nanoparticles constitute one of the most common methods for fabricating surface-enhanced Raman scattering (SERS) nanoprobes with wide applications. However, this method greatly limits the sufficient utilization of electromagnetic fields derived from plasmon excitation of the nanoparticles, because the thickness of SAMs (<1 nm) is usually much smaller than the attenuation length (>10 nm) of the fields. To overcome this, we propose a three-dimensional (3D) volume-active SERS (VASERS) technique to break the SAM limit, which integrates large amounts of thiol reporters into polydopamine shells on silver nanoparticles via Michael addition and allows sufficient utilization of 3D electromagnetic fields, leading to a dramatic increase in the intensity of the signal of the nanoprobes by about one order of magnitude. We demonstrate the universality of this strategy on various thiol reporters and plasmonic substrates. We also show that orthogonal VASERS nanoprobes with alkyne readout allow for high-precision in vivo tumor targeting and margin delineation.
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Affiliation(s)
- Jin Li
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
- Shenzhen Research Institute of Xiamen University, Shenzhen 518000, China
| | - Fugang Liu
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Jian Ye
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
- Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
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17
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Jin Z, Yue Q, Duan W, Sui A, Zhao B, Deng Y, Zhai Y, Zhang Y, Sun T, Zhang G, Han L, Mao Y, Yu J, Zhang X, Li C. Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic Acidosis. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2104935. [PMID: 35023300 PMCID: PMC8895125 DOI: 10.1002/advs.202104935] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Indexed: 06/14/2023]
Abstract
Surgeons face challenges in intraoperatively defining margin of brain tumors due to its infiltrative nature. Extracellular acidosis caused by metabolic reprogramming of cancer cells is a reliable marker for tumor infiltrative regions. Although the acidic margin-guided surgery shows promise in improving surgical prognosis, its clinical transition is delayed by having the exogenous probes approved by the drug supervision authority. Here, an intelligent surface-enhanced Raman scattering (SERS) navigation system delineating glioma acidic margins without administration of exogenous probes is reported. With assistance of this system, the metabolites at the tumor cutting edges can be nondestructively transferred within a water droplet to a SERS chip with pH sensitivity. Homemade deep learning model automatically processes the Raman spectra collected from the SERS chip and delineates the pH map of tumor resection bed with increased speed. Acidity correlated cancer cell density and proliferation level are demonstrated in tumor cutting edges of animal models and excised tissues from glioma patients. The overall survival of animal models post the SERS system guided surgery is significantly increased in comparison to the conventional strategy used in clinical practice. This SERS system holds the promise in accelerating clinical transition of acidic margin-guided surgery for solid tumors with infiltrative nature.
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Affiliation(s)
- Ziyi Jin
- Key Laboratory of Smart Drug Delivery Ministry of EducationState Key Laboratory of Medical NeurobiologySchool of PharmacyFudan UniversityShanghai201203China
| | - Qi Yue
- Department of neurosurgeryHuashan HospitalFudan UniversityShanghai200040China
| | - Wenjia Duan
- Key Laboratory of Smart Drug Delivery Ministry of EducationState Key Laboratory of Medical NeurobiologySchool of PharmacyFudan UniversityShanghai201203China
| | - An Sui
- School of Information Science and TechnologyFudan UniversityShanghai200438China
| | - Botao Zhao
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghai200433China
| | - Yinhui Deng
- School of Information Science and TechnologyFudan UniversityShanghai200438China
| | - Yuting Zhai
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghai200433China
| | - Yuwen Zhang
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghai200433China
| | - Tao Sun
- Key Laboratory of Smart Drug Delivery Ministry of EducationState Key Laboratory of Medical NeurobiologySchool of PharmacyFudan UniversityShanghai201203China
| | - Guang‐Ping Zhang
- School of Physics and ElectronicsShandong Normal UniversityJinan250358China
| | - Limei Han
- Key Laboratory of Smart Drug Delivery Ministry of EducationState Key Laboratory of Medical NeurobiologySchool of PharmacyFudan UniversityShanghai201203China
| | - Ying Mao
- Department of neurosurgeryHuashan HospitalFudan UniversityShanghai200040China
| | - Jinhua Yu
- School of Information Science and TechnologyFudan UniversityShanghai200438China
| | - Xiao‐Yong Zhang
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghai200433China
- MOE Key Laboratory of Computational Neuroscience and Brain‐Inspired IntelligenceMOE Frontiers Center for Brain ScienceShanghaiChina
| | - Cong Li
- Key Laboratory of Smart Drug Delivery Ministry of EducationState Key Laboratory of Medical NeurobiologySchool of PharmacyFudan UniversityShanghai201203China
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18
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Yin H, Jin Z, Duan W, Han B, Han L, Li C. Emergence of Responsive Surface-Enhanced Raman Scattering Probes for Imaging Tumor-Associated Metabolites. Adv Healthc Mater 2022; 11:e2200030. [PMID: 35182455 DOI: 10.1002/adhm.202200030] [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: 01/05/2022] [Revised: 02/03/2022] [Indexed: 11/11/2022]
Abstract
As a core hallmark of cancer, metabolic reprogramming alters the metabolic networks of cancer cells to meet their insatiable appetite for energy and nutrient. Tumor-associated metabolites, the products of metabolic reprogramming, are valuable in evaluating tumor occurrence and progress timely and accurately because their concentration variations usually happen earlier than the aberrances demonstrated in tissue structure and function. As an optical spectroscopic technique, surface-enhanced Raman scattering (SERS) offers advantages in imaging tumor-associated metabolites, including ultrahigh sensitivity, high specificity, multiplexing capacity, and uncompromised signal intensity. This review first highlights recent advances in the development of stimuli-responsive SERS probes. Then the mechanisms leading to the responsive SERS signal triggered by tumor metabolites are summarized. Furthermore, biomedical applications of these responsive SERS probes, such as the image-guided tumor surgery and liquid biopsy examination for tumor molecular typing, are summarized. Finally, the challenges and prospects of the responsive SERS probes for clinical translation are also discussed.
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Affiliation(s)
- Hang Yin
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
| | - Ziyi Jin
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
| | - Wenjia Duan
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
| | - Bing Han
- Minhang Hospital Fudan University Xinsong Road 170 Shanghai 201100 China
| | - Limei Han
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
| | - Cong Li
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
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19
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Liu H, Gao X, Xu C, Liu D. SERS Tags for Biomedical Detection and Bioimaging. Theranostics 2022; 12:1870-1903. [PMID: 35198078 PMCID: PMC8825578 DOI: 10.7150/thno.66859] [Citation(s) in RCA: 89] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 12/09/2021] [Indexed: 11/05/2022] Open
Abstract
Surface-enhanced Raman scattering (SERS) has emerged as a valuable technique for molecular identification. Due to the characteristics of high sensitivity, excellent signal specificity, and photobleaching resistance, SERS has been widely used in the fields of environmental monitoring, food safety, and disease diagnosis. By attaching the organic molecules to the surface of plasmonic nanoparticles, the obtained SERS tags show high-performance multiplexing capability for biosensing. The past decade has witnessed the progress of SERS tags for liquid biopsy, bioimaging, and theranostics applications. This review focuses on the advances of SERS tags in biomedical fields. We first introduce the building blocks of SERS tags, followed by the summarization of recent progress in SERS tags employed for detecting biomarkers, such as DNA, miRNA, and protein in biological fluids, as well as imaging from in vitro cell, bacteria, tissue to in vivo tumors. Further, we illustrate the appealing applications of SERS tags for delineating tumor margins and cancer diagnosis. In the end, perspectives of SERS tags projecting into the possible obstacles are deliberately proposed in future clinical translation.
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Affiliation(s)
- Huiqiao Liu
- College of Chemistry and Chemical Engineering, Xinyang Key Laboratory of Functional Nanomaterials for Bioanalysis, Xinyang Normal University, Xinyang 464000, China
| | - Xia Gao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Chen Xu
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin Institute of Coloproctology, Tianjin 300000, China
| | - Dingbin Liu
- State Key Laboratory of Medicinal Chemical Biology, Research Center for Analytical Sciences, and Tianjin Key Laboratory of Molecular Recognition and Biosensing, College of Chemistry, Nankai University, Tianjin 300071, China
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20
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From lab to field: Surface-enhanced Raman scattering-based sensing strategies for on-site analysis. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2021.116488] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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21
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Chen H, Cheng Z, Zhou X, Wang R, Yu F. Emergence of Surface-Enhanced Raman Scattering Probes in Near-Infrared Windows for Biosensing and Bioimaging. Anal Chem 2021; 94:143-164. [PMID: 34812039 DOI: 10.1021/acs.analchem.1c03646] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Hui Chen
- Key Laboratory of Hainan Trauma and Disaster Rescue, Laboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 571199, China.,Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Functional Materials and Molecular Imaging, College of Pharmacy, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Ziyi Cheng
- Key Laboratory of Hainan Trauma and Disaster Rescue, Laboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 571199, China.,Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Functional Materials and Molecular Imaging, College of Pharmacy, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Xuejun Zhou
- Key Laboratory of Hainan Trauma and Disaster Rescue, Laboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 571199, China.,Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Functional Materials and Molecular Imaging, College of Pharmacy, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Rui Wang
- Key Laboratory of Hainan Trauma and Disaster Rescue, Laboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 571199, China.,Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Functional Materials and Molecular Imaging, College of Pharmacy, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Fabiao Yu
- Key Laboratory of Hainan Trauma and Disaster Rescue, Laboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 571199, China.,Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Functional Materials and Molecular Imaging, College of Pharmacy, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
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22
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He C, Wu X, Zhou J, Chen Y, Ye J. Raman optical identification of renal cell carcinoma via machine learning. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 252:119520. [PMID: 33582436 DOI: 10.1016/j.saa.2021.119520] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 05/06/2023]
Abstract
High pathologic tumor-node-metastasis (pTNM) stage grade or Fuhrman grade indicates poor oncological outcome in renal cell carcinoma (RCC). Early diagnosis and screening of these RCCs and adjust surgical planning accordingly are greatly beneficial to patients. Raman spectroscopy is a highly specific fingerprint spectrum on molecular level, pretty appropriate for label-free and noninvasive cancer diagnosis. In this work we established a Raman spectrum-based supporting vector machine (SVM) model to accurately ex vivo distinguish human renal tumor from normal tissues and fat with an accuracy of 92.89%. The model can also be used to determine tumor boundary, showing consistent results to pathological staining analysis. This method can be additionally used to accomplish the classification purposes of renal tumor subtypes and grades with an accuracy of 86.79% and 89.53%, respectively. Therefore, we prove that Raman spectroscopy has great potential in the rapid and accurate clinical diagnosis of renal cancers.
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Affiliation(s)
- Chang He
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Xiaorong Wu
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, PR China
| | - Jiale Zhou
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, PR China
| | - Yonghui Chen
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, PR China.
| | - Jian Ye
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China; Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, PR China.
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23
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Ramya AN, Arya JS, Madhukrishnan M, Shamjith S, Vidyalekshmi MS, Maiti KK. Raman Imaging: An Impending Approach Towards Cancer Diagnosis. Chem Asian J 2021; 16:409-422. [PMID: 33443291 DOI: 10.1002/asia.202001340] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 01/11/2021] [Indexed: 12/18/2022]
Abstract
In accordance with the recent studies, Raman spectroscopy is well experimented as a highly sensitive analytical and imaging technique in biomedical research, mainly for various disease diagnosis including cancer. In comparison with other imaging modalities, Raman spectroscopy facilitate numerous assistances owing to its low background signal, immense spatial resolution, high chemical specificity, multiplexing capability, excellent photo stability and non-invasive detection capability. In cancer diagnosis Raman imaging intervened as a promising investigative tool to provide molecular level information to differentiate the cancerous vs non-cancerous cells, tissues and even in body fluids. Anciently, spontaneous Raman scattering is very feeble due to its low signal intensity and long acquisition time but new advanced techniques like coherent Raman scattering (CRS) and surface enhanced Raman scattering (SERS) gradually superseded these issues. So, the present review focuses on the recent developments and applications of Raman spectroscopy-based imaging techniques for cancer diagnosis.
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Affiliation(s)
- Adukkadan N Ramya
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Jayadev S Arya
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Murali Madhukrishnan
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Shanmughan Shamjith
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Murukan S Vidyalekshmi
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Kaustabh K Maiti
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
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24
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Wang Y, Lei Z, Wang C, Cao C, Hu J, Du L, Han L, Li C. Unsymmetrical pentamethine cyanines for visualizing physiological acidities from the whole-animal to the cellular scale with pH-responsive deep-red fluorescence. RSC Adv 2021; 11:17871-17879. [PMID: 35480181 PMCID: PMC9033229 DOI: 10.1039/d1ra02217b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 05/01/2021] [Indexed: 11/21/2022] Open
Abstract
Unsymmetrical pentamethine cyanine fluorophores were developed and used to visualize physiological acidities from the whole-animal to the cellular scale with pH-responsive deep-red fluorescence.
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Affiliation(s)
- Yicheng Wang
- Minhang Hospital and Key Laboratory of Smart Drug Delivery
- Ministry of Education
- School of Pharmacy
- Fudan University
- Shanghai
| | - Zuhai Lei
- Minhang Hospital and Key Laboratory of Smart Drug Delivery
- Ministry of Education
- School of Pharmacy
- Fudan University
- Shanghai
| | - Cong Wang
- Minhang Hospital and Key Laboratory of Smart Drug Delivery
- Ministry of Education
- School of Pharmacy
- Fudan University
- Shanghai
| | - Chong Cao
- Minhang Hospital and Key Laboratory of Smart Drug Delivery
- Ministry of Education
- School of Pharmacy
- Fudan University
- Shanghai
| | - Jiayi Hu
- Minhang Hospital and Key Laboratory of Smart Drug Delivery
- Ministry of Education
- School of Pharmacy
- Fudan University
- Shanghai
| | - Ling Du
- Key Laboratory of Digestive Cancer Full Cycle Monitoring and Precise Intervention of Shanghai Municipal Health Commission
- Minhang Hospital
- Fudan University
- Shangha
- China
| | - Limei Han
- Minhang Hospital and Key Laboratory of Smart Drug Delivery
- Ministry of Education
- School of Pharmacy
- Fudan University
- Shanghai
| | - Cong Li
- Minhang Hospital and Key Laboratory of Smart Drug Delivery
- Ministry of Education
- School of Pharmacy
- Fudan University
- Shanghai
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25
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Wallace GQ, Masson JF. From single cells to complex tissues in applications of surface-enhanced Raman scattering. Analyst 2020; 145:7162-7185. [DOI: 10.1039/d0an01274b] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
This tutorial review explores how three of the most common methods for introducing nanoparticles to single cells for surface-enhanced Raman scattering measurements can be adapted for experiments with complex tissues.
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Affiliation(s)
- Gregory Q. Wallace
- Département de Chimie
- Centre Québécois des Matériaux Fonctionnels (CQMF)
- and Regroupement Québécois des Matériaux de Pointe (RQMP)
- Université de Montréal
- Montréal
| | - Jean-François Masson
- Département de Chimie
- Centre Québécois des Matériaux Fonctionnels (CQMF)
- and Regroupement Québécois des Matériaux de Pointe (RQMP)
- Université de Montréal
- Montréal
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