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Yan L, Su H, Liu J, Wen X, Luo H, Yin Y, Guo X. Rapid detection of lung cancer based on serum Raman spectroscopy and a support vector machine: a case-control study. BMC Cancer 2024; 24:791. [PMID: 38956551 PMCID: PMC11220989 DOI: 10.1186/s12885-024-12578-y] [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: 05/25/2023] [Accepted: 06/28/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Early screening and detection of lung cancer is essential for the diagnosis and prognosis of the disease. In this paper, we investigated the feasibility of serum Raman spectroscopy for rapid lung cancer screening. METHODS Raman spectra were collected from 45 patients with lung cancer, 45 with benign lung lesions, and 45 healthy volunteers. And then the support vector machine (SVM) algorithm was applied to build a diagnostic model for lung cancer. Furthermore, 15 independent individuals were sampled for external validation, including 5 lung cancer patients, 5 benign lung lesion patients, and 5 healthy controls. RESULTS The diagnostic sensitivity, specificity, and accuracy were 91.67%, 92.22%, 90.56% (lung cancer vs. healthy control), 92.22%,95.56%,93.33% (benign lung lesion vs. healthy) and 80.00%, 83.33%, 80.83% (lung cancer vs. benign lung lesion), repectively. In the independent validation cohort, our model showed that all the samples were classified correctly. CONCLUSION Therefore, this study demonstrates that the serum Raman spectroscopy analysis technique combined with the SVM algorithm has great potential for the noninvasive detection of lung cancer.
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Affiliation(s)
- Linfang Yan
- Guang'an People's Hospital, Guang'an, Sichuan Province, China
| | - Huiting Su
- Guang'an People's Hospital, Guang'an, Sichuan Province, China.
| | - Jiafei Liu
- Guang'an People's Hospital, Guang'an, Sichuan Province, China
| | - Xiaozheng Wen
- Guang'an People's Hospital, Guang'an, Sichuan Province, China
| | - Huaichao Luo
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, China
| | - Yu Yin
- Sichuan Institute for Brain Science and Brain-Inspired Intelligence, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaoqiang Guo
- Guang'an People's Hospital, Guang'an, Sichuan Province, China
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Daniels VR, Williams ES. Exploring the complexities of drug formulation selection, storage, and shelf-life for exploration spaceflight. Br J Clin Pharmacol 2023. [PMID: 37940128 DOI: 10.1111/bcp.15957] [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: 06/26/2023] [Revised: 10/20/2023] [Accepted: 10/22/2023] [Indexed: 11/10/2023] Open
Abstract
Medications have been a part of space travel dating back to the Apollo missions. Currently, medical kits aboard the International Space Station (ISS) contain medications and supplies to treat a variety of possible medical events. As we prepare for more distant exploration missions to Mars and beyond, risk management planning for astronaut healthcare should include the assembly of a medication formulary that is comprehensive enough to prevent or treat anticipated medical events, remains safe and chemically stable, and retains sufficient potency to last for the duration of the mission. Emerging innovation and technologies in pharmaceutical development, delivery, quality maintenance, and validation offer promise for addressing these challenges. The present editorial will summarize the current state of knowledge regarding innovative formulary optimization strategies, pharmaceutical stability assessment techniques, and storage and packaging solutions that could enhance drug safety and efficacy for future exploration spaceflight missions.
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Wang N, Wang X, Yan T, Xie H, Wang L, Ren F, Chen D, Zhang D, Zeng Q, Zhu S, Chen X. Label-free structural and functional volumetric imaging by dual-modality optical-Raman projection tomography. SCIENCE ADVANCES 2023; 9:eadf3504. [PMID: 36961894 PMCID: PMC10038343 DOI: 10.1126/sciadv.adf3504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
Mesoscale volumetric imaging is of great importance for the study of bio-organisms. Among others, optical projection tomography provides unprecedented structural details of specimens, but it requires fluorescence label for chemical targeting. Raman spectroscopic imaging is able to identify chemical components in a label-free manner but lacks microstructure. Here, we present a dual-modality optical-Raman projection tomography (ORPT) technology, which enables label-free three-dimensional imaging of microstructures and components of millimeter-sized samples with a micron-level spatial resolution on the same device. We validate the feasibility of our ORPT system using images of polystyrene beads in a volume, followed by detecting biomolecules of zebrafish and Arabidopsis, demonstrating that fused three-dimensional images of the microstructure and molecular components of bio-samples could be achieved. Last, we observe the fat body of Drosophila melanogaster at different developmental stages. Our proposed technology enables bimodal label-free volumetric imaging of the structure and function of biomolecules in a large sample.
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Affiliation(s)
- Nan Wang
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China
| | - Xinyu Wang
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China
| | - Tianyu Yan
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China
| | - Hui Xie
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
| | - Lin Wang
- School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, Shaanxi 710048, China
| | - Feng Ren
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
| | - Dan Chen
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China
| | - Dongjie Zhang
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
| | - Qi Zeng
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
| | - Shouping Zhu
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
| | - Xueli Chen
- Biomedical Photonics and Molecular Imaging Laboratory, School of Life Science and Technology, Xidian University, and Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi’an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Innovation Center for Advanced Medical Imaging and Intelligent Medicine, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong 51055, China
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Terrones O, Olazar-Intxausti J, Anso I, Lorizate M, Nieto-Garai JA, Contreras FX. Raman Spectroscopy as a Tool to Study the Pathophysiology of Brain Diseases. Int J Mol Sci 2023; 24:2384. [PMID: 36768712 PMCID: PMC9917237 DOI: 10.3390/ijms24032384] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 01/27/2023] Open
Abstract
The Raman phenomenon is based on the spontaneous inelastic scattering of light, which depends on the molecular characteristics of the dispersant. Therefore, Raman spectroscopy and imaging allow us to obtain direct information, in a label-free manner, from the chemical composition of the sample. Since it is well established that the development of many brain diseases is associated with biochemical alterations of the affected tissue, Raman spectroscopy and imaging have emerged as promising tools for the diagnosis of ailments. A combination of Raman spectroscopy and/or imaging with tagged molecules could also help in drug delivery and tracing for treatment of brain diseases. In this review, we first describe the basics of the Raman phenomenon and spectroscopy. Then, we delve into the Raman spectroscopy and imaging modes and the Raman-compatible tags. Finally, we center on the application of Raman in the study, diagnosis, and treatment of brain diseases, by focusing on traumatic brain injury and ischemia, neurodegenerative disorders, and brain cancer.
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Affiliation(s)
- Oihana Terrones
- Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
| | - June Olazar-Intxausti
- Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
| | - Itxaso Anso
- Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
- Structural Glycobiology Laboratory, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, 48903 Barakaldo, Spain
| | - Maier Lorizate
- Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
| | - Jon Ander Nieto-Garai
- Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
| | - Francesc-Xabier Contreras
- Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
- Instituto Biofisika (UPV/EHU, CSIC), Barrio Sarriena s/n, 48940 Leioa, Spain
- Ikerbasque, Basque Foundation of Science, 48011 Bilbao, Spain
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Wang N, Ren F, Li L, Wang H, Wang L, Zeng Q, Song Y, Zeng T, Zhu S, Chen X. Quantitative chemical sensing of drugs in scattering media with Bessel beam Raman spectroscopy. BIOMEDICAL OPTICS EXPRESS 2022; 13:2488-2502. [PMID: 35519250 PMCID: PMC9045933 DOI: 10.1364/boe.455666] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/06/2022] [Accepted: 03/16/2022] [Indexed: 06/01/2023]
Abstract
Scattering can seriously affect the highly sensitive detection and quantitative analysis of chemical substances in scattering media and becomes a significant challenge for in vivo application of Raman spectroscopy. In this study, we demonstrated a proof of concept for using the self-reconstructing Bessel beam for Raman spectroscopic sensing of the chemicals in the handmade scattering media and biological tissue slices. The homebuilt Bessel beam Raman spectroscopy (BRS) was capable of accurately detecting the Raman spectra of the chemicals buried in the scattering media, and had a superiority in quantitative analysis. The feasibility of the developed technique was verified by detecting the Raman spectra of pure samples in air. Compared with the spectra acquired by the Gaussian beam Raman spectroscope, the performance of the BRS system in terms of Raman spectrum detection and Raman peak recognition was confirmed. Subsequently, by employing the technique for the detection of acetaminophen buried in the scattering media, the application of the new technology in detecting and quantitating the chemicals in the scattering media were underlined, offering greater detection depth and better linear quantification capability than the conventional Gaussian beam Raman spectroscopy. Finally, we explored the potential of the BRS system for chemical sensing of acetaminophen in biological tissue slices, indicating a significant development towards the evaluation of drug in vivo.
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Affiliation(s)
- Nan Wang
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
- Equal contributors
| | - Feng Ren
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
- Equal contributors
| | - Li Li
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
| | - Haoyu Wang
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
| | - Lin Wang
- School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, Shaanxi 710048, China
| | - Qi Zeng
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
| | - Yali Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Tingting Zeng
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Shouping Zhu
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
| | - Xueli Chen
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
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