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Zhu M, Chen X, Chi M, Wu Y, Zhang M, Gao S. Spontaneous-stimulated Raman co-localization dual-modal analysis approach for efficient identification of tumor cells. Talanta 2024; 277:126297. [PMID: 38823327 DOI: 10.1016/j.talanta.2024.126297] [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: 03/21/2024] [Revised: 05/01/2024] [Accepted: 05/20/2024] [Indexed: 06/03/2024]
Abstract
The study of highly heterogeneous tumor cells, especially acute myeloid leukemia (AML) cells, usually relies on invasive analytical methods such as morphology, immunology, cytogenetics, and molecular biology classification, which are complex and time-consuming to perform. Mortality is high if patients are not diagnosed in a timely manner, so rapid label-free analysis of gene expression and metabolites within single-cell substructures is extremely important for clinical diagnosis and treatment. As a label-free and non-destructive vibrational detection technique, spontaneous Raman scattering provides molecular information across the full spectrum of the cell but lacks rapid imaging localization capabilities. In contrast, stimulated Raman scattering (SRS) provides a high-speed, high-resolution imaging view that can offer real-time subcellular localization assistance for spontaneous Raman spectroscopic detection. In this paper, we combined multi-color SRS microscopy with spontaneous Raman to develop a co-localized Raman imaging and spectral detection system (CRIS) for high-speed chemical imaging and quantitative spectral analysis of subcellular structures. Combined with multivariate statistical analysis methods, CRIS efficiently differentiated AML from normal leukocytes with an accuracy of 98.1 % and revealed the differences in the composition of nuclei and cytoplasm of AML relative to normal leukocytes. Compared to conventional Raman spectroscopy blind sampling without imaging localization, CRIS increased the efficiency of single-cell detection by at least three times. In addition, using the same approach for further identification of AML subtypes M2 and M3, we demonstrated that intracytoplasmic differential expression of proteins is a marker for their rapid and accurate classifying. CRIS analysis methods are expected to pave the way for clinical translation of rapid tumor cell identification.
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Affiliation(s)
- Mingyao Zhu
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Applied Optics, Changchun, Jilin, 130033, China; Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun, Jilin, 130033, China
| | - Xing Chen
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Applied Optics, Changchun, Jilin, 130033, China; Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun, Jilin, 130033, China
| | - Mingbo Chi
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Applied Optics, Changchun, Jilin, 130033, China; Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun, Jilin, 130033, China.
| | - Yihui Wu
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Applied Optics, Changchun, Jilin, 130033, China; Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun, Jilin, 130033, China.
| | - Ming Zhang
- Department of Hematology, The First Bethune Hospital, Jilin University, Changchun, Jilin, 130033, China
| | - Sujun Gao
- Department of Hematology, The First Bethune Hospital, Jilin University, Changchun, Jilin, 130033, China
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Xiao K, Li L, Chen Y, Lin R, Wen B, Wang Z, Huang Y. Diagnostic application in streptozotocin-induced diabetic retinopathy rats: A study based on Raman spectroscopy and machine learning. JOURNAL OF BIOPHOTONICS 2024; 17:e202400115. [PMID: 39155125 DOI: 10.1002/jbio.202400115] [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: 03/21/2024] [Revised: 04/23/2024] [Accepted: 04/30/2024] [Indexed: 08/20/2024]
Abstract
Vision impairment caused by diabetic retinopathy (DR) is often irreversible, making early-stage diagnosis imperative. Raman spectroscopy emerges as a powerful tool, capable of providing molecular fingerprints of tissues. This study employs RS to detect ex vivo retinal tissue from diabetic rats at various stages of the disease. Transmission electron microscopy was utilized to reveal the ultrastructural changes in retinal tissue. Following spectral preprocessing of the acquired data, the random forest and orthogonal partial least squares-discriminant analysis algorithms were employed for spectral data analysis. The entirety of Raman spectra and all annotated bands accurately and distinctly differentiate all animal groups, and can identify significant molecules from the spectral data. Bands at 524, 1335, 543, and 435 cm-1 were found to be associated with the preproliferative phase of DR. Bands at 1045 and 1335 cm-1 were found to be associated with early stages of DR.
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Affiliation(s)
- Kunhong Xiao
- Department of Ophthalmology and Optometry, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Li Li
- Department of Ophthalmology and Optometry, Fujian Medical University, Fuzhou, Fujian Province, China
- Department of Ophthalmology, Fujian Provincial Hospital, Fuzhou, Fujian Province, China
| | - Yang Chen
- Department of Laboratory Medicine, Key Laboratory of Clinical Laboratory Technology for Precision Medicine (Fujian Medical University), Fujian Province University, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Rong Lin
- Department of Ophthalmology and Optometry, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Boyuan Wen
- Department of Ophthalmology and Optometry, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Zhiqiang Wang
- Department of Ophthalmology, Daping Hospital, Army Medical University, Chongqing, China
| | - Yan Huang
- Department of Ophthalmology and Optometry, Fujian Medical University, Fuzhou, Fujian Province, China
- Department of Ophthalmology, Fujian Provincial Hospital, Fuzhou, Fujian Province, China
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Li S, Gao S, Su L, Zhang M. Evaluating the accuracy of Raman spectroscopy in differentiating leukemia patients from healthy individuals: A systematic review and meta-analysis. Photodiagnosis Photodyn Ther 2024; 48:104260. [PMID: 38950876 DOI: 10.1016/j.pdpdt.2024.104260] [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: 04/21/2024] [Revised: 05/26/2024] [Accepted: 06/26/2024] [Indexed: 07/03/2024]
Abstract
PURPOSE To assess the accuracy of Raman spectroscopy in distinguishing between patients with leukemia and healthy individuals. METHOD PubMed, Embase, Web of Science, Cochrane Library, and CNKI databases were searched for relevant articles published from inception of the respective database to November 1, 2023. The pooled sensitivity (SEN), specificity (SPE), diagnostic odds ratio (DOR), positive likelihood ratio (PLR), negative likelihood ratio (NLR), were calculated along with their corresponding 95 % confidence intervals (CI). A summary comprehensive receiver operating characteristic curve (SROC) was constructed and the area under the curve (AUC) was calculated. The degree of heterogeneity was tested and analyzed. RESULTS Fifteen groups of original studies from 13 articles were included. The pooled SEN and SPE were 0.93 (95 % CI, [0.92 -0.93]) and 0.91(95 % CI, [0.90-0.92]), respectively. The DOR was 613.01 (95 %CI, [270.79-1387.75]), and the AUC was 0.99. The Deeks' funnel plot asymmetry test indicated no significant publication bias among the included studies (bias coefficient, 40.80; P = 0.13 < 0.10). The meta-regression analysis findings indicated that the observed heterogeneity could be attributed to variations in sample categories and Raman spectroscopy techniques. CONCLUSION We confirmed that Raman spectroscopy has good accuracy in differentiating patients with leukemia from healthy individuals, and may become a means of leukemia screening in clinical practice. In the case of analysis based on live cells using surface-enhanced Raman spectroscopy (SERS) improved diagnostic efficacy was observed.
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Affiliation(s)
- Shaotong Li
- Department of Hematology, The First Hospital of Jilin University, Changchun 130021, PR China
| | - Sujun Gao
- Department of Hematology, The First Hospital of Jilin University, Changchun 130021, PR China.
| | - Long Su
- Department of Hematology, The First Hospital of Jilin University, Changchun 130021, PR China
| | - Ming Zhang
- Department of Hematology, The First Hospital of Jilin University, Changchun 130021, PR China
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Adamczyk A, Nowakowska AM, Jakubowska J, Zabczynska M, Bartoszek M, Kashyrskaya S, Fatla A, Stawoski K, Siakala K, Pastorczak A, Ostrowska K, Mlynarski W, Majzner K, Baranska M. Raman classification of selected subtypes of acute lymphoblastic leukemia (ALL). Analyst 2024; 149:571-581. [PMID: 38099606 DOI: 10.1039/d3an01708g] [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: 01/16/2024]
Abstract
B-cell precursor acute lymphoblastic leukemia (BCP-ALL) with chromosome translocations like KMT2A gene rearrangement (KMT2A-r) and BCR-ABL1 fusion gene have been recognized as crucial drivers in both BCP-ALL leukemogenesis and treatment management. Standard diagnostic protocols for proliferative diseases of the hematopoietic system, like KMT2A-r-ALL, are genetically based and strongly molecularly oriented. Therefore, an efficient diagnostic procedure requires not only experienced and multidisciplinary laboratory staff but also considerable instrumentation and material costs. In recent years, a Raman spectroscopy method has been increasingly used to detect subtle chemical changes in individual cells resulting from stress or disease. Therefore, the objective of this study was to identify Raman signatures for the molecular subtypes and to develop a classification method based on the unique spectroscopic profile of in vitro models that represent specific aberrations aimed at KMT2A-r (RS4;11, and SEM) and the BCR-ABL1 fusion gene (SUP-B15, BV-173, and SD-1). Data analysis was based on chemometric methods, i.e. principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and support vector machine (SVM). The PCA-based multivariate model was used for pattern recognition of each investigated group of cells while PLS-DA and SVM were used to build models for the discrimination of spectra from the studied BCP-ALL molecular subtypes. The results showed that the studied molecular subtypes of ALL have characteristic spectroscopic profiles reflecting their peculiar biochemical state. The content of lipids (1600 cm-1), nucleic acids (789 cm-1), and haemoproteins (754, 1130, and 1315 cm-1), which are crucial in cell metabolism, was indicated as the main source of differentiation between subtypes. Identification of spectroscopic markers of cells with BCR-ABL1 or KMT2A-r may be useful in pharmacological studies to monitor the effectiveness of chemotherapy and further to understand differences in molecular responses between leukemia primary cells and cell lines.
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Affiliation(s)
- Adriana Adamczyk
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa St., 30-387 Krakow, Poland.
| | - Anna M Nowakowska
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa St., 30-387 Krakow, Poland.
| | - Justyna Jakubowska
- Department of Pediatrics, Oncology and Hematology, Medical University of Lodz, 36/50 Sporna St., Lodz, Poland
| | - Marta Zabczynska
- Department of Pediatrics, Oncology and Hematology, Medical University of Lodz, 36/50 Sporna St., Lodz, Poland
| | - Maja Bartoszek
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa St., 30-387 Krakow, Poland.
| | - Sviatlana Kashyrskaya
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa St., 30-387 Krakow, Poland.
| | - Agnieszka Fatla
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa St., 30-387 Krakow, Poland.
| | - Kacper Stawoski
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa St., 30-387 Krakow, Poland.
| | - Kacper Siakala
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa St., 30-387 Krakow, Poland.
| | - Agata Pastorczak
- Department of Pediatrics, Oncology and Hematology, Medical University of Lodz, 36/50 Sporna St., Lodz, Poland
| | - Kinga Ostrowska
- Department of Pediatrics, Oncology and Hematology, Medical University of Lodz, 36/50 Sporna St., Lodz, Poland
| | - Wojciech Mlynarski
- Department of Pediatrics, Oncology and Hematology, Medical University of Lodz, 36/50 Sporna St., Lodz, Poland
| | - Katarzyna Majzner
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa St., 30-387 Krakow, Poland.
| | - Malgorzata Baranska
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa St., 30-387 Krakow, Poland.
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, 14 Bobrzynskiego St., 30-348 Krakow, Poland
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Oshima Y, Haruki T, Koizumi K, Yonezawa S, Taketani A, Kadowaki M, Saito S. Practices, Potential, and Perspectives for Detecting Predisease Using Raman Spectroscopy. Int J Mol Sci 2023; 24:12170. [PMID: 37569541 PMCID: PMC10418989 DOI: 10.3390/ijms241512170] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 07/23/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023] Open
Abstract
Raman spectroscopy shows great potential for practical clinical applications. By analyzing the structure and composition of molecules through real-time, non-destructive measurements of the scattered light from living cells and tissues, it offers valuable insights. The Raman spectral data directly link to the molecular composition of the cells and tissues and provides a "molecular fingerprint" for various disease states. This review focuses on the practical and clinical applications of Raman spectroscopy, especially in the early detection of human diseases. Identifying predisease, which marks the transition from a healthy to a disease state, is crucial for effective interventions to prevent disease onset. Raman spectroscopy can reveal biological processes occurring during the transition states and may eventually detect the molecular dynamics in predisease conditions.
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Affiliation(s)
- Yusuke Oshima
- Faculty of Engineering, University of Toyama, Toyama 930-8555, Japan
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
- Faculty of Medicine, Oita University, Yufu 879-5593, Japan
| | - Takayuki Haruki
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
- Faculty of Sustainable Design, University of Toyama, Toyama 930-8555, Japan
| | - Keiichi Koizumi
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
- Division of Presymptomatic Disease, Institute of Natural Medicine, University of Toyama, Toyama 930-8555, Japan
| | - Shota Yonezawa
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
| | - Akinori Taketani
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
| | - Makoto Kadowaki
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
| | - Shigeru Saito
- Research Center for Pre-Disease Science, University of Toyama, Toyama 930-8555, Japan
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Liang H, Shi R, Wang H, Zhou Y. Advances in the application of Raman spectroscopy in haematological tumours. Front Bioeng Biotechnol 2023; 10:1103785. [PMID: 36704299 PMCID: PMC9871369 DOI: 10.3389/fbioe.2022.1103785] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 12/29/2022] [Indexed: 01/12/2023] Open
Abstract
Hematologic malignancies are a diverse collection of cancers that affect the blood, bone marrow, and organs. They have a very unpredictable prognosis and recur after treatment. Leukemia, lymphoma, and myeloma are the most prevalent symptoms. Despite advancements in chemotherapy and supportive care, the incidence rate and mortality of patients with hematological malignancies remain high. Additionally, there are issues with the clinical diagnosis because several hematological malignancies lack defined, systematic diagnostic criteria. This work provided an overview of the fundamentals, benefits, and limitations of Raman spectroscopy and its use in hematological cancers. The alterations of trace substances can be recognized using Raman spectroscopy. High sensitivity, non-destructive, quick, real-time, and other attributes define it. Clinicians must promptly identify disorders and keep track of analytes in biological fluids. For instance, surface-enhanced Raman spectroscopy is employed in diagnosing gene mutations in myelodysplastic syndromes due to its high sensitivity and multiple detection benefits. Serum indicators for multiple myeloma have been routinely used for detection. The simultaneous observation of DNA strand modifications and the production of new molecular bonds by tip-enhanced Raman spectroscopy is of tremendous significance for diagnosing lymphoma and multiple myeloma with unidentified diagnostic criteria.
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Affiliation(s)
- Haoyue Liang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Ruxue Shi
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Haoyu Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Yuan Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China,*Correspondence: Yuan Zhou,
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