1
|
Ni R, Ge K, Luo Y, Zhu T, Hu Z, Li M, Tao P, Chi J, Li G, Yuan H, Pang Q, Gao W, Zhang P, Zhu Y. Highly sensitive microfluidic sensor using integrated optical fiber and real-time single-cell Raman spectroscopy for diagnosis of pancreatic cancer. Biosens Bioelectron 2024; 264:116616. [PMID: 39137518 DOI: 10.1016/j.bios.2024.116616] [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: 07/26/2024] [Accepted: 07/29/2024] [Indexed: 08/15/2024]
Abstract
Pancreatic cancer is notoriously lethal due to its late diagnosis and poor patient response to treatments, posing a significant clinical challenge. This study introduced a novel approach that combines a single-cell capturing platform, tumor-targeted silver (Ag) nanoprobes, and precisely docking tapered fiber integrated with Raman spectroscopy. This approach focuses on early detection and progression monitoring of pancreatic cancer. Utilizing tumor-targeted Ag nanoparticles and tapered multimode fibers enhances Raman signals, minimizes light loss, and reduces background noise. This advanced Raman system allows for detailed molecular spectroscopic examination of individual cells, offering more practical information and enabling earlier detection and accurate staging of pancreatic cancer compared to conventional multicellular Raman spectroscopy. Transcriptomic analysis using high-throughput gene screening and transcriptomic databases confirmed the ability and accuracy of this method to identify molecular changes in normal, early, and metastatic pancreatic cancer cells. Key findings revealed that cell adhesion, migration, and the extracellular matrix are closely related to single-cell Raman spectroscopy (SCRS) results, highlighting components such as collagen, phospholipids, and carotene. Therefore, the SCRS approach provides a comprehensive view of the molecular composition, biological function, and material changes in cells, offering a novel, accurate, reliable, rapid, and efficient method for diagnosing and monitoring pancreatic cancer.
Collapse
Affiliation(s)
- Renhao Ni
- Health Science Center, Ningbo University, Ningbo, 315211, China
| | - Kaixin Ge
- Key Laboratory of Photoelectric Materials and Devices of Zhejiang Province, Ningbo University, Ningbo, 315211, China; Engineering Research Center for Advanced Infrared Photoelectric Materials and Devices of Zhejiang Province, Ningbo University, Ningbo, 315211, China
| | - Yang Luo
- Health Science Center, Ningbo University, Ningbo, 315211, China
| | - Tong Zhu
- Health Science Center, Ningbo University, Ningbo, 315211, China
| | - Zeming Hu
- Health Science Center, Ningbo University, Ningbo, 315211, China
| | - Min Li
- College of Information Science and Engineering, Ningbo University, Ningbo, 315211, China
| | - Pan Tao
- Key Laboratory of Photoelectric Materials and Devices of Zhejiang Province, Ningbo University, Ningbo, 315211, China; Engineering Research Center for Advanced Infrared Photoelectric Materials and Devices of Zhejiang Province, Ningbo University, Ningbo, 315211, China
| | - Jinyi Chi
- Health Science Center, Ningbo University, Ningbo, 315211, China
| | - Guanron Li
- Health Science Center, Ningbo University, Ningbo, 315211, China; The First Affiliated Hospital of Ningbo University, Ningbo, 315020, China
| | - Haojun Yuan
- College of Information Science and Engineering, Ningbo University, Ningbo, 315211, China
| | - Qian Pang
- Health Science Center, Ningbo University, Ningbo, 315211, China
| | - Wanlei Gao
- College of Information Science and Engineering, Ningbo University, Ningbo, 315211, China.
| | - Peiqing Zhang
- Key Laboratory of Photoelectric Materials and Devices of Zhejiang Province, Ningbo University, Ningbo, 315211, China; Engineering Research Center for Advanced Infrared Photoelectric Materials and Devices of Zhejiang Province, Ningbo University, Ningbo, 315211, China.
| | - Yabin Zhu
- Health Science Center, Ningbo University, Ningbo, 315211, China.
| |
Collapse
|
2
|
Zhang Y, Li Z, Li Z, Wang H, Regmi D, Zhang J, Feng J, Yao S, Xu J. Employing Raman Spectroscopy and Machine Learning for the Identification of Breast Cancer. Biol Proced Online 2024; 26:28. [PMID: 39266953 PMCID: PMC11396685 DOI: 10.1186/s12575-024-00255-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Accepted: 09/04/2024] [Indexed: 09/14/2024] Open
Abstract
BACKGROUND Breast cancer poses a significant health risk to women worldwide, with approximately 30% being diagnosed annually in the United States. The identification of cancerous mammary tissues from non-cancerous ones during surgery is crucial for the complete removal of tumors. RESULTS Our study innovatively utilized machine learning techniques (Random Forest (RF), Support Vector Machine (SVM), and Convolutional Neural Network (CNN)) alongside Raman spectroscopy to streamline and hasten the differentiation of normal and late-stage cancerous mammary tissues in mice. The classification accuracy rates achieved by these models were 94.47% for RF, 96.76% for SVM, and 97.58% for CNN, respectively. To our best knowledge, this study was the first effort in comparing the effectiveness of these three machine-learning techniques in classifying breast cancer tissues based on their Raman spectra. Moreover, we innovatively identified specific spectral peaks that contribute to the molecular characteristics of the murine cancerous and non-cancerous tissues. CONCLUSIONS Consequently, our integrated approach of machine learning and Raman spectroscopy presents a non-invasive, swift diagnostic tool for breast cancer, offering promising applications in intraoperative settings.
Collapse
Affiliation(s)
- Ya Zhang
- Division of Electrical and Computer Engineering, College of Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Zheng Li
- Division of Electrical and Computer Engineering, College of Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Zhongqiang Li
- Division of Electrical and Computer Engineering, College of Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Huaizhi Wang
- Division of Electrical and Computer Engineering, College of Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Dinkar Regmi
- Division of Electrical and Computer Engineering, College of Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Jian Zhang
- Division of Computer Science & Engineering, College of Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Jiming Feng
- Department of Comparative Biomedical Science, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Shaomian Yao
- Department of Comparative Biomedical Science, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Jian Xu
- Division of Electrical and Computer Engineering, College of Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA.
| |
Collapse
|
3
|
Couselo-Seijas M, Vázquez-Abuín X, Gómez-Lázaro M, Pereira L, Gómez AM, Caballero R, Delpón E, Bravo S, González-Juanatey JR, Eiras S. FABP4 Enhances Lipidic and Fibrotic Cardiac Structural and Ca 2+ Dynamic Changes. Circ Arrhythm Electrophysiol 2024; 17:e012683. [PMID: 39212041 DOI: 10.1161/circep.123.012683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 07/26/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Adipocyte FABP4 (fatty acid-binding protein 4) is augmented in the epicardial stroma of patients with long-standing persistent atrial fibrillation. Because this molecule is released mainly by adipocytes, our objective was to study its role in atrial cardiomyopathy, focusing our attention on fibrosis, metabolism, and electrophysiological changes. These results might clarify the role of adiposity as a mediator of atrial cardiomyopathy. METHODS We used several preclinical cellular models, epicardial and subcutaneous stroma primary cell cultures from patients undergoing open heart surgery, human atrial fibroblasts, atrial cardiomyocytes derived from human induced pluripotent stem cells and isolated from adult mice, and Nav1.5 transfected Chinese hamster ovary cells. Fibrosis, glucose, mitochondrial and adipogenesis activity, gene expression, and proteomics were determined by wound healing, enzymatic, colorimetric, fluorescence assays, real-time quantitative polymerase chain reaction, and TripleTOF proteomics. Molecular changes were analyzed by Raman confocal microspectroscopy, calcium dynamics by confocal microscopy, and ion currents by patch clamp. Epicardial, subcutaneous, and atrial fibroblasts and cardiomyocytes were incubated with FABP4 at 100 ng/mL. RESULTS Our results showed that FABP4 induced fibrosis, glucose metabolism, and lipid accumulation on epicardial and subcutaneous stroma cells and atrial fibroblasts. Besides, it modified lipid content and calcium dynamics in atrial cardiomyocytes without effects on INa. CONCLUSIONS FABP4 exerts fibrotic and metabolic changes on epicardial stroma and modifies lipid content and calcium dynamic on atrial cardiomyocytes. These results suggest its possible role as an atrial cardiomyopathy mediator.
Collapse
Affiliation(s)
- Marinela Couselo-Seijas
- Cardiovascular Department, Grupo de Cardiología Traslacional (M.C.-S., X.V.-A., S.E.), IDIS, Santiago de Compostela, Spain
- Universidad de Santiago de Compostela, Santiago de Compostela, Spain (M.C.-S., X.V.-A., J.R.G.-J.)
| | - Xocas Vázquez-Abuín
- Cardiovascular Department, Grupo de Cardiología Traslacional (M.C.-S., X.V.-A., S.E.), IDIS, Santiago de Compostela, Spain
- Universidad de Santiago de Compostela, Santiago de Compostela, Spain (M.C.-S., X.V.-A., J.R.G.-J.)
| | - María Gómez-Lázaro
- i3S-Instituto de Investigação e Inovação em Saúde, Porto, Portugal (M.G.-L.)
- Instituto de Engenharia Biomédica, Universidade do Porto, Portugal (M.G.-L.)
| | - Laetitia Pereira
- Signaling and Cardiovascular Pathophysiology, Institut national de la santé et de la recherche médicale, UMR-S 1180, Université Paris-Saclay, Orsay, France (L.P., A.M.G.)
| | - Ana M Gómez
- Signaling and Cardiovascular Pathophysiology, Institut national de la santé et de la recherche médicale, UMR-S 1180, Université Paris-Saclay, Orsay, France (L.P., A.M.G.)
| | - Ricardo Caballero
- Department of Pharmacology and Toxicology, School of Medicine, Universidad Complutense de Madrid, Spain (R.C., E.D.)
- Centro de investigación biomédica en red enfermedades cardiovasculares, Madrid, Spain (R.C., E.D., J.R.G.-J., S.E.)
| | - Eva Delpón
- Department of Pharmacology and Toxicology, School of Medicine, Universidad Complutense de Madrid, Spain (R.C., E.D.)
- Centro de investigación biomédica en red enfermedades cardiovasculares, Madrid, Spain (R.C., E.D., J.R.G.-J., S.E.)
| | - Susana Bravo
- Proteomic Unit (S.B.), IDIS, Santiago de Compostela, Spain
| | - José Ramón González-Juanatey
- Universidad de Santiago de Compostela, Santiago de Compostela, Spain (M.C.-S., X.V.-A., J.R.G.-J.)
- Centro de investigación biomédica en red enfermedades cardiovasculares, Madrid, Spain (R.C., E.D., J.R.G.-J., S.E.)
- Área Cardiovascular y Unidad Coronaria, Hospital Clínico Universitario, Santiago de Compostela, Spain (J.R.G.-J.)
| | - Sonia Eiras
- Cardiovascular Department, Grupo de Cardiología Traslacional (M.C.-S., X.V.-A., S.E.), IDIS, Santiago de Compostela, Spain
- Centro de investigación biomédica en red enfermedades cardiovasculares, Madrid, Spain (R.C., E.D., J.R.G.-J., S.E.)
| |
Collapse
|
4
|
Akagi Y, Norimoto A, Kawamura T, Kida YS. Label-Free Assessment of Neuronal Activity Using Raman Micro-Spectroscopy. Molecules 2024; 29:3174. [PMID: 38999126 PMCID: PMC11243074 DOI: 10.3390/molecules29133174] [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: 06/12/2024] [Revised: 06/30/2024] [Accepted: 07/02/2024] [Indexed: 07/14/2024] Open
Abstract
Given the pivotal role of neuronal populations in various biological processes, assessing their collective output is crucial for understanding the nervous system's complex functions. Building on our prior development of a spiral scanning mechanism for the rapid acquisition of Raman spectra from single cells and incorporating machine learning for label-free evaluation of cell states, we investigated whether the Paint Raman Express Spectroscopy System (PRESS) can assess neuronal activities. We tested this hypothesis by examining the chemical responses of glutamatergic neurons as individual neurons and autonomic neuron ganglia as neuronal populations derived from human-induced pluripotent stem cells. The PRESS successfully acquired Raman spectra from both individual neurons and ganglia within a few seconds, achieving a signal-to-noise ratio sufficient for detailed analysis. To evaluate the ligand responsiveness of the induced neurons and ganglia, the Raman spectra were subjected to principal component and partial least squares discriminant analyses. The PRESS detected neuronal activity in response to glutamate and nicotine, which were absent in the absence of calcium. Additionally, the PRESS induced dose-dependent neuronal activity changes. These findings underscore the capability of the PRESS to assess individual neuronal activity and elucidate neuronal population dynamics and pharmacological responses, heralding new opportunities for drug discovery and regenerative medicine advancement.
Collapse
Affiliation(s)
- Yuka Akagi
- Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Central 5, 1-1-1 Higashi, Tsukuba 305-8565, Ibaraki, Japan; (Y.A.); (A.N.)
| | - Aya Norimoto
- Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Central 5, 1-1-1 Higashi, Tsukuba 305-8565, Ibaraki, Japan; (Y.A.); (A.N.)
| | - Teruhisa Kawamura
- Department of Biomedical Sciences, College of Life Sciences, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu 525-8577, Shiga, Japan;
| | - Yasuyuki S. Kida
- Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Central 5, 1-1-1 Higashi, Tsukuba 305-8565, Ibaraki, Japan; (Y.A.); (A.N.)
- School of Integrative & Global Majors, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba 305-8572, Ibaraki, Japan
| |
Collapse
|
5
|
Wu J, Dong J, Bao Y, Shang L, Wu Q, Yang Z, Wang H, Yin J. Synovial fluid research based on SERS and SERRS for enhanced detection of biomarkers in staged osteoarthritis. JOURNAL OF BIOPHOTONICS 2024; 17:e202400024. [PMID: 38566479 DOI: 10.1002/jbio.202400024] [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: 01/24/2024] [Revised: 03/10/2024] [Accepted: 03/24/2024] [Indexed: 04/04/2024]
Abstract
Surface-enhanced (resonance) Raman scattering (SER(R)S) can extremely enhance Raman intensity of samples, which is helpful for detecting synovial fluid (SF) that does not show Raman activity under normal conditions. In this study, SER(R)S spectra of SF from three different osteoarthritis (OA) stages were collected and analyzed for OA progress, finding that the content of collagen increased throughout the disease, while non-collagen proteins and polysaccharides decreased sharply at advanced OA stage accompanied by the increase of phospholipid. The spectral features and differences were enhanced by salting-out and centrifugation. Much more information on biomolecules at different OA stages was disclosed by using SERRS for the first time, these main trace components (β-carotene, collagen, hyaluronic acid, nucleotide, and phospholipid) can be used as potential biomarkers. It indicates that SERRS has a more comprehensive ability to assist SERS in seeking micro(trace) biomolecules as biomarkers and facilitating accurate and efficient diagnosis and mechanism research of OA.
Collapse
Affiliation(s)
- Jinjin Wu
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Jiachun Dong
- Department of Orthopaedics, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China
| | - Yilin Bao
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Linwei Shang
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Qingxia Wu
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Zichun Yang
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Huijie Wang
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Jianhua Yin
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| |
Collapse
|
6
|
Nurdin SU, Nurdjanah S, Triyandi R, Nurhadi B. Antioxidant Activity, Glycemic Response, and Functional Properties of Rice Cooked with Red Palm Oil. J Nutr Metab 2024; 2024:3483292. [PMID: 38725902 PMCID: PMC11081750 DOI: 10.1155/2024/3483292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 01/02/2024] [Accepted: 04/04/2024] [Indexed: 05/12/2024] Open
Abstract
High rice consumption levels accompanied by a lifestyle lacking in physical activity leads to obesity and diabetes due to the rice consumed generally has high digestibility and high glycemic index. Red palm oil (RPO) is a vegetable oil suggested to have the potential to reduce starch digestibility and increase the bioactive compounds of rice. This research aimed to find out the best cooking method to produce rice with a sensory quality similar to regular rice and to study the effect of the best cooking method on the glycemic response and physicochemical properties of rice. The results showed that RPO addition increased the antioxidant activities and total carotenoid levels of rice. The addition of RPO after cooking has better antioxidant activity and total carotenoid than before cooking. Adding 2% RPO before or after cooking produced rice with similar or better sensory quality than regular rice. Rice cooked with 2% RPO added before cooking had a lower glycemic response than regular rice, which was suggested to be caused by the increasing formation of the amylose lipid complex and the triglycerides that protected the starch from amylase enzyme. The formation of the amylose lipid complex and triglyceride layers protecting rice starch was confirmed by the new peaks of the FTIR spectra, the appearance of oil-coated starch morphology, and the changes in the proportion of C and O atoms. In conclusion, the addition of 2% RPO before the cooking process can be considered as a cooking method to produce rice for diabetic patients.
Collapse
Affiliation(s)
- Samsu U. Nurdin
- Department of Agriculture Product Technology, Agriculture Faculty, Lampung University, Bandar Lampung 6235145, Indonesia
| | - Siti Nurdjanah
- Department of Agriculture Product Technology, Agriculture Faculty, Lampung University, Bandar Lampung 6235145, Indonesia
| | - Ramadhan Triyandi
- Department of Pharmacy, Faculty of Medicine, Lampung University, Bandar Lampung 6235145, Indonesia
| | - Bambang Nurhadi
- Department of Food Technology, Agriculture Technology Faculty, Padjadjaran University, Bandung 62 45363, Indonesia
| |
Collapse
|
7
|
Inanc A, Bektas NI, Kecoglu I, Parlatan U, Durkut B, Ucak M, Unlu MB, Celik-Ozenci C. Label-free differentiation of functional zones in mature mouse placenta using micro-Raman imaging. BIOMEDICAL OPTICS EXPRESS 2024; 15:3441-3456. [PMID: 38855670 PMCID: PMC11161348 DOI: 10.1364/boe.521500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 06/11/2024]
Abstract
In histopathology, it is highly crucial to have chemical and structural information about tissues. Additionally, the segmentation of zones within a tissue plays a vital role in investigating the functions of these regions for better diagnosis and treatment. The placenta plays a vital role in embryonic and fetal development and in diagnosing some diseases associated with its dysfunction. This study provides a label-free approach to obtain the images of mature mouse placenta together with the chemical differences between the tissue compartments using Raman spectroscopy. To generate the Raman images, spectra of placental tissue were collected using a custom-built optical setup. The pre-processed spectra were analyzed using statistical and machine learning methods to acquire the Raman maps. We found that the placental regions called decidua and the labyrinth zone are biochemically distinct from the junctional zone. A histologist performed a comparison and evaluation of the Raman map with histological images of the placental tissue, and they were found to agree. The results of this study show that Raman spectroscopy offers the possibility of label-free monitoring of the placental tissue from mature mice while simultaneously revealing crucial structural information about the zones.
Collapse
Affiliation(s)
- Arda Inanc
- Department of Physics, Bogazici University, Bebek, Besiktas, Istanbul 34342, Turkey
| | - Nayce Ilayda Bektas
- Department of Histology and Embryology, School of Medicine, Akdeniz University, Pınarbasi, Konyaalti, Antalya 07070, Turkey
| | - Ibrahim Kecoglu
- Department of Physics, Bogazici University, Bebek, Besiktas, Istanbul 34342, Turkey
| | - Ugur Parlatan
- Department of Physics, Bogazici University, Bebek, Besiktas, Istanbul 34342, Turkey
| | - Begum Durkut
- Koc University, Graduate School of Health Sciences, Reproductive Medicine, Istanbul, Turkey
| | - Melike Ucak
- Koc University, Graduate School of Health Sciences, Reproductive Medicine, Istanbul, Turkey
| | - Mehmet Burcin Unlu
- Faculty of Engineering, Ozyegin University, Nisantepe, Cekmekoy, Istanbul 34794, Turkey
- Faculty of Aviation and Aeronautical Sciences, Ozyegin University, Nisantepe, Cekmekoy, Istanbul 34794, Turkey
| | - Ciler Celik-Ozenci
- Department of Histology and Embryology, School of Medicine, Koc University, Rumelifeneri, Sariyer, Istanbul 34450, Turkey
- Koc University Research Center for Translational Medicine (KUTTAM), Koc University, Istanbul 34450, Turkey
| |
Collapse
|
8
|
Hajab H, Anwar A, Nawaz H, Majeed MI, Alwadie N, Shabbir S, Amber A, Jilani MI, Nargis HF, Zohaib M, Ismail S, Kamal A, Imran M. Surface-enhanced Raman spectroscopy of the filtrate portions of the blood serum samples of breast cancer patients obtained by using 30 kDa filtration device. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 311:124046. [PMID: 38364514 DOI: 10.1016/j.saa.2024.124046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/04/2024] [Accepted: 02/12/2024] [Indexed: 02/18/2024]
Abstract
Raman spectroscopy is reliable tool for analyzing and exploring early disease diagnosis related to body fluids, such as blood serum, which contain low molecular weight fraction (LMWF) and high molecular weight fraction (HMWF) proteins. The disease biomarkers consist of LMWF which are dominated by HMWF hence their analysis is difficult. In this study, in order to overcome this issue, centrifugal filter devices of 30 kDa were used to obtain filtrate and residue portions obtained from whole blood serum samples of control and breast cancer diagnosed patients. The filtrate portions obtained in this way are expected to contain the marker proteins of breast cancer of the size below this filter size. These may include prolactin, Microphage migration inhabitation factor (MIF), γ-Synuclein, BCSG1, Leptin, MUC1, RS/DJ-1 present in the centrifuged blood serum (filtrate portions) which are then analyzed by the SERS technique to recognize the SERS spectral characteristics associated with the progression of breast cancer in the samples of different stages as compared to the healthy ones. The key intention of this study is to achieve early-stage breast cancer diagnosis through the utilization of Surface Enhanced Raman Spectroscopy (SERS) after the centrifugation of healthy and breast cancer serum samples with Amicon ultra-filter devices of 30 kDa. The silver nanoparticles with high plasmon resonance are used as a substrate for SERS analysis. Principal Component Analysis (PCA) and Partial Least Discriminant Analysis (PLS-DA) models are utilized as spectral classification tools to assess and predict rapid, reliable, and non-destructive SERS-based analysis. Notably, they were particularly effective in distinguishing between different SERS spectral groups of the cancerous and non-cancerous samples. By comparing all these spectral data sets to each other PLSDA shows the 79 % accuracy, 76 % specificity, and 81 % sensitivity in samples with AUC value of AUC = 0.774 SERS has proven to be a valuable technique for the rapid identification of the SERS spectral features of blood serum and its filtrate fractions from both healthy individuals and those with breast cancer, aiding in disease diagnosis.
Collapse
Affiliation(s)
- Hawa Hajab
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Ayesha Anwar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan.
| | - Najah Alwadie
- Department of Physics, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
| | - Sana Shabbir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Arooj Amber
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | | | - Hafiza Faiza Nargis
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Muhammad Zohaib
- Department of Zoology, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Sidra Ismail
- Medical College, Foundation University Islamabad, Pakistan
| | - Abida Kamal
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Muhammad Imran
- Department of Chemistry, Faculty of Science, King Khalid University, P.O. Box 9004, Abha, Saudi Arabia
| |
Collapse
|
9
|
Tahseen H, Ul Huda N, Nawaz H, Majeed MI, Alwadie N, Rashid N, Aslam MA, Zafar N, Asghar M, Anwar A, Ashraf A, Umer R. Surface-enhanced Raman spectroscopy for comparison of biochemical profile of bacteriophage sensitive and resistant methicillin-resistant Staphylococcus aureus (MRSA) strains. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 310:123968. [PMID: 38330510 DOI: 10.1016/j.saa.2024.123968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 01/10/2024] [Accepted: 01/24/2024] [Indexed: 02/10/2024]
Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) is gram positive bacteria and leading cause of a wide variety of diseases. It is a common cause of hospitalized and community-acquired infections. Development of increasing antibiotic-resistance by methicillin-resistant S. aureus (MRSA) strains demand to develop alternate novel therapies. Bacteriophages are now widely used as antibacterial therapies against antibiotic-resistant gram-positive pathogens. So, there is an urgent need to find fast detection techniques to point out phage susceptible and resistant strains of methicillin-resistant S. aureus (MRSA) bacteria. Samples of two separate strains of bacteria, S. aureus, in form of pellets and supernatant, were used for this purpose. Strain-I was resistant to phage, while the other (strain-II) was sensitive. Surface Enhanced Raman Spectroscopy (SERS) has detected significant biochemical changes in these bacterial strains of pellets and supernatants in the form of SERS spectral features. The protein portion of these two types of strains of methicillin-resistant S. aureus (MRSA) in their relevant pellets and supernatants is major distinguishing biomolecule as shown by their representative SERS spectral features. In addition, multivariate data analysis techniques such as principal component analysis (PCA) and a partial least squares-discriminant analysis (PLS-DA) were found to be helpful in identifying and characterizing various strains of S. aureus which are sensitive and resistant to bacteriophage with 100% specificity, 100% accuracy, and 99.8% sensitivity in case of SERS spectral data sets of bacterial cell pellets. Moreover, in case of supernatant samples, the results of PLS-DA model including 95.5% specificity, 96% sensitivity, and 96.5% accuracy are obtained.
Collapse
Affiliation(s)
- Hira Tahseen
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Noor Ul Huda
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Najah Alwadie
- Department of Physics, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan
| | - Muhammad Aamir Aslam
- Institute of Microbiology, Faculty of Veterinary, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Nishat Zafar
- Institute of Microbiology, Faculty of Veterinary, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Maria Asghar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ayesha Anwar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ayesha Ashraf
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Rabiea Umer
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| |
Collapse
|
10
|
Tołpa B, Paja W, Trojnar E, Łach K, Gala-Błądzińska A, Kowal A, Gumbarewicz E, Frączek P, Cebulski J, Depciuch J. FT-Raman spectra in combination with machine learning and multivariate analyses as a diagnostic tool in brain tumors. NANOMEDICINE : NANOTECHNOLOGY, BIOLOGY, AND MEDICINE 2024; 57:102737. [PMID: 38341010 DOI: 10.1016/j.nano.2024.102737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 12/28/2023] [Accepted: 01/31/2024] [Indexed: 02/12/2024]
Abstract
Brain tumors are one of the most dangerous, because the position of these are in the organ that governs all life processes. Moreover, a lot of brain tumor types were observed, but only one main diagnostic method was used - histopathology, for which preparation of sample was long. Consequently, a new, quicker diagnostic method is needed. In this paper, FT-Raman spectra of brain tissues were analyzed by Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA), four different machine learning (ML) algorithms to show possibility of differentiating between glioblastoma G4 and meningiomas, as well as two different types of meningiomas (atypical and angiomatous). Obtained results showed that in meningiomas additional peak around 1503 cm-1 and higher level of amides was noticed in comparison with glioblastoma G4. In the case of meningiomas differentiation, in angiomatous meningiomas tissues lower level of lipids and polysaccharides were visible than in atypical meningiomas. Moreover, PCA analyses showed higher distinction between glioblastoma G4 and meningiomas in the FT-Raman range between 800 cm-1 and 1800 cm-1 and between two types of meningiomas in the range between 2700 cm-1 and 3000 cm-1. Decision trees showed, that the most important peaks to differentiate glioblastoma and meningiomas were at 1151 cm-1 and 2836 cm-1 while for angiomatous and atypical meningiomas - 1514 cm-1 and 2875 cm-1. Furthermore, the accuracy of obtained results for glioblastoma G4 and meningiomas was 88 %, while for meningiomas - 92 %. Consequently, obtained data showed possibility of using FT-Raman spectroscopy in diagnosis of different types of brain tumors.
Collapse
Affiliation(s)
- Bartłomiej Tołpa
- Department of Neurosurgery, Clinical Hospital No 2 in Rzeszów, Lwowska 60, 35-309 Rzeszów, Poland
| | - Wiesław Paja
- Institute of Computer Science, College of Natural Sciences, University of Rzeszów, Poland
| | - Elżbieta Trojnar
- Clinical Department of Pathomorphology, Clinical Hospital No 2, Rzeszów, Poland
| | - Kornelia Łach
- Department of Pediatrics, Institute of Medical Sciences, University of Rzeszów, 35-310 Rzeszów, Poland
| | | | - Aneta Kowal
- Doctoral School, Institute of Medical Sciences, University of Rzeszów, 35-310 Rzeszów, Poland
| | - Ewelina Gumbarewicz
- Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093 Lublin, Poland
| | - Paulina Frączek
- Department of Human Immunology, Institute of Medical Sciences, Medical College of Rzeszów University, University of Rzeszów, Rzeszów, Poland
| | - Józef Cebulski
- Institute of Physics, College of Natural Sciences, University of Rzeszów, PL-35959 Rzeszów, Poland
| | - Joanna Depciuch
- Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093 Lublin, Poland; Institute of Nuclear Physics, Polish Academy of Sciences, 31-342 Krakow, Poland.
| |
Collapse
|
11
|
Yan Z, Chang C, Kang Z, Chen C, Lv X, Chen C. Application of one-dimensional hierarchical network assisted screening for cervical cancer based on Raman spectroscopy combined with attention mechanism. Photodiagnosis Photodyn Ther 2024; 46:104086. [PMID: 38608802 DOI: 10.1016/j.pdpdt.2024.104086] [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: 02/27/2024] [Revised: 04/07/2024] [Accepted: 04/10/2024] [Indexed: 04/14/2024]
Abstract
Cervical cancer is one of the most common malignant tumors among women, and its pathological change is a relatively slow process. If it can be detected in time and treated properly, it can effectively reduce the incidence rate and mortality rate of cervical cancer, so the early screening of cervical cancer is particularly critical and significant. In this paper, we used Raman spectroscopy technology to collect the tissue sample data of patients with cervicitis, Low-grade Squamous Intraepithelial Lesion, High-grade Squamous Intraepithelial Lesion, Well differentiated squamous cell carcinoma, Moderately differentiated squamous cell carcinoma, Poorly differentiated squamous cell carcinoma and cervical adenocarcinoma. A one-dimensional hierarchical convolutional neural network based on attention mechanism was constructed to classify and identify seven types of tissue samples. The attention mechanism Efficient Channel Attention Networks module and Squeeze-and-Excitation Networks module were combined with the established one-dimensional convolutional hierarchical network model, and the results showed that the combined model had better diagnostic performance. The average accuracy, F1, and AUC of the Principal Component Analysis-Squeeze and Excitation-hierarchical network model after 5-fold cross validations could reach 96.49%±2.12%, 0.97±0.03, and 0.98±0.02, respectively, which were 1.58%, 0.0140, and 0.008 higher than those of hierarchical network. The recall rate of the Principal Component Analysis-Efficient Channel Attention-hierarchical network model was as high as 96.78%±2.85%, which is 1.47% higher than hierarchical network. Compared with the classification results of traditional CNN and ResNet for seven types of cervical cancer staging, the accuracy of the Principal Component Analysis-Squeeze and Excitation-hierarchical network model is 3.33% and 11.05% higher, respectively. The experimental results indicate that the model established in this study is easy to operate and has high accuracy. It has good reference value for rapid screening of cervical cancer, laying a foundation for further research on Raman spectroscopy as a clinical diagnostic method for cervical cancer.
Collapse
Affiliation(s)
- Ziwei Yan
- College of Software, Xinjiang University, Urumqi, China
| | - Chenjie Chang
- School of Computer Science and Technology, Xinjiang University, Urumqi, China
| | - Zhenping Kang
- School of Computer Science and Technology, Xinjiang University, Urumqi, China
| | - Chen Chen
- College of Software, Xinjiang University, Urumqi, China
| | - Xiaoyi Lv
- School of Computer Science and Technology, Xinjiang University, Urumqi, China
| | - Cheng Chen
- College of Software, Xinjiang University, Urumqi, China.
| |
Collapse
|
12
|
Schultze-Rhonhof L, Marzi J, Carvajal Berrio DA, Holl M, Braun T, Schäfer-Ruoff F, Andress J, Bachmann C, Templin M, Brucker SY, Schenke-Layland K, Weiss M. Human tissue-resident peritoneal macrophages reveal resistance towards oxidative cell stress induced by non-invasive physical plasma. Front Immunol 2024; 15:1357340. [PMID: 38504975 PMCID: PMC10949891 DOI: 10.3389/fimmu.2024.1357340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 02/14/2024] [Indexed: 03/21/2024] Open
Abstract
In the context of multimodal treatments for abdominal cancer, including procedures such as cytoreductive surgery and intraperitoneal chemotherapy, recurrence rates remain high, and long-term survival benefits are uncertain due to post-operative complications. Notably, treatment-limiting side effects often arise from an uncontrolled activation of the immune system, particularly peritoneally localized macrophages, leading to massive cytokine secretion and phenotype changes. Exploring alternatives, an increasing number of studies investigated the potential of plasma-activated liquids (PAL) for adjuvant peritoneal cancer treatment, aiming to mitigate side effects, preserve healthy tissue, and reduce cytotoxicity towards non-cancer cells. To assess the non-toxicity of PAL, we isolated primary human macrophages from the peritoneum and subjected them to PAL exposure. Employing an extensive methodological spectrum, including flow cytometry, Raman microspectroscopy, and DigiWest protein analysis, we observed a pronounced resistance of macrophages towards PAL. This resistance was characterized by an upregulation of proliferation and anti-oxidative pathways, countering PAL-derived oxidative stress-induced cell death. The observed cellular effects of PAL treatment on human tissue-resident peritoneal macrophages unveil a potential avenue for PAL-derived immunomodulatory effects within the human peritoneal cavity. Our findings contribute to understanding the intricate interplay between PAL and macrophages, shedding light on the promising prospects for PAL in the adjuvant treatment of peritoneal cancer.
Collapse
Affiliation(s)
| | - Julia Marzi
- Institute of Biomedical Engineering, Department for Medical Technologies and Regenerative Medicine, University of Tübingen, Tübingen, Germany
- Natural and Medical Sciences Institute (NMI) at the University of Tübingen, Reutlingen, Germany
| | - Daniel Alejandro Carvajal Berrio
- Institute of Biomedical Engineering, Department for Medical Technologies and Regenerative Medicine, University of Tübingen, Tübingen, Germany
| | - Myriam Holl
- Department of Women’s Health Tübingen, University of Tübingen, Tübingen, Germany
| | - Theresa Braun
- Natural and Medical Sciences Institute (NMI) at the University of Tübingen, Reutlingen, Germany
- University Development, Research and Transfer, University of Konstanz, Konstanz, Germany
| | - Felix Schäfer-Ruoff
- Natural and Medical Sciences Institute (NMI) at the University of Tübingen, Reutlingen, Germany
| | - Jürgen Andress
- Department of Women’s Health Tübingen, University of Tübingen, Tübingen, Germany
| | - Cornelia Bachmann
- Department of Women’s Health Tübingen, University of Tübingen, Tübingen, Germany
| | - Markus Templin
- Natural and Medical Sciences Institute (NMI) at the University of Tübingen, Reutlingen, Germany
| | - Sara Y. Brucker
- Department of Women’s Health Tübingen, University of Tübingen, Tübingen, Germany
| | - Katja Schenke-Layland
- Institute of Biomedical Engineering, Department for Medical Technologies and Regenerative Medicine, University of Tübingen, Tübingen, Germany
- Natural and Medical Sciences Institute (NMI) at the University of Tübingen, Reutlingen, Germany
| | - Martin Weiss
- Department of Women’s Health Tübingen, University of Tübingen, Tübingen, Germany
- Natural and Medical Sciences Institute (NMI) at the University of Tübingen, Reutlingen, Germany
| |
Collapse
|
13
|
Kopec M, Beton-Mysur K. The role of glucose and fructose on lipid droplet metabolism in human normal bronchial and cancer lung cells by Raman spectroscopy. Chem Phys Lipids 2024; 259:105375. [PMID: 38159659 DOI: 10.1016/j.chemphyslip.2023.105375] [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: 10/18/2023] [Revised: 12/18/2023] [Accepted: 12/27/2023] [Indexed: 01/03/2024]
Abstract
Fructose is one of the most important monosaccharides in the human diet that the human body needs for proper metabolism. This paper presents an approach to study biochemical changes caused by sugars in human normal bronchial cells (BEpiC) and human cancer lung cells (A549) by Raman spectroscopy and Raman imaging. Results after supplementation of human bronchial and lung cells with fructose are also discussed and compared with results obtained for pure human bronchial and lung cells. Based on Raman techniques we have proved that peaks at 750 cm-1, 1126 cm-1, 1444 cm-1, 1584 cm-1 and 2845 cm-1 can be treated as biomarkers to monitor fructose changes in cells. Results for fructose have been compared with results for glucose. Raman analysis of the bands at 750 cm-1, 1126 cm-1, 1584 cm-1 and 2845 cm-1 for pure BEpiC and A549 cells and BEpiC and A549 after supplementation with fructose and glucose are higher after supplementation with fructose in comparison to glucose. The obtained results shed light on the uninvestigated influence of glucose and fructose on lipid droplet metabolism by Raman spectroscopy methods.
Collapse
Affiliation(s)
- Monika Kopec
- Lodz University of Technology, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy, Wroblewskiego 15, 93-590 Lodz, Poland.
| | - Karolina Beton-Mysur
- Lodz University of Technology, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy, Wroblewskiego 15, 93-590 Lodz, Poland
| |
Collapse
|
14
|
Veliz L, Cooper TT, Grenier-Pleau I, Abraham SA, Gomes J, Pasternak SH, Dauber B, Postovit LM, Lajoie GA, Lagugné-Labarthet F. Tandem SERS and MS/MS Profiling of Plasma Extracellular Vesicles for Early Ovarian Cancer Biomarker Discovery. ACS Sens 2024; 9:272-282. [PMID: 38214491 DOI: 10.1021/acssensors.3c01908] [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] [Indexed: 01/13/2024]
Abstract
Extracellular vesicles (EVs) are vectors of biomolecular cargo that play essential roles in intercellular communication across a range of cells. Protein, lipid, and nucleic acid cargo harbored within EVs may serve as biomarkers at all stages of disease; however, the choice of methodology may challenge the specificity and reproducibility of discovery. To address these challenges, the integration of rigorous EV purification methods, cutting-edge spectroscopic technologies, and data analysis are critical to uncover diagnostic signatures of disease. Herein, we demonstrate an EV isolation and analysis pipeline using surface-enhanced Raman spectroscopy (SERS) and mass spectrometry (MS) techniques on plasma samples obtained from umbilical cord blood, healthy donor (HD) plasma, and plasma from women with early stage high-grade serous carcinoma (HGSC). Plasma EVs were purified by size exclusion chromatography and analyzed by surface-enhanced Raman spectroscopy (SERS), mass spectrometry (MS), and atomic force microscopy. After determining the fraction of highest EV purity, SERS and MS were used to characterize EVs from HDs, pooled donors with noncancerous gynecological ailments (n = 6), and donors with early stage [FIGO (I/II)] with HGSC. SERS spectra were subjected to different machine learning algorithms such as PCA, logistic regression, support vector machine, naïve Bayes, random forest, neural network, and k nearest neighbors to differentiate healthy, benign, and HGSC EVs. Collectively, we demonstrate a reproducible workflow with the potential to serve as a diagnostic platform for HGSC.
Collapse
Affiliation(s)
- Lorena Veliz
- Department of Chemistry, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 5B7, Canada
| | - Tyler T Cooper
- Department of Biomedical and Molecular Sciences, Queen's University, 99 University Avenue, Kingston, Ontario K7L 3N6, Canada
- Department of Biochemistry, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 5B7, Canada
| | - Isabelle Grenier-Pleau
- Department of Biomedical and Molecular Sciences, Queen's University, 99 University Avenue, Kingston, Ontario K7L 3N6, Canada
| | - Sheela A Abraham
- Department of Biomedical and Molecular Sciences, Queen's University, 99 University Avenue, Kingston, Ontario K7L 3N6, Canada
| | - Janice Gomes
- Robarts Research Institute, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 3K5, Canada
| | - Stephen H Pasternak
- Robarts Research Institute, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 3K5, Canada
| | - Bianca Dauber
- Department of Biomedical and Molecular Sciences, Queen's University, 99 University Avenue, Kingston, Ontario K7L 3N6, Canada
| | - Lynne M Postovit
- Department of Biomedical and Molecular Sciences, Queen's University, 99 University Avenue, Kingston, Ontario K7L 3N6, Canada
| | - Gilles A Lajoie
- Department of Biochemistry, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 5B7, Canada
| | - François Lagugné-Labarthet
- Department of Chemistry, The University of Western Ontario, 1151 Richmond Street, London, Ontario N6A 5B7, Canada
| |
Collapse
|
15
|
Yin Y, Cui D, Chi Q, Xu H, Guan P, Zhang H, Jiao T, Wang X, Wang L, Sun H. Reactive oxygen species may be involved in the distinctive biological effects of different doses of 12C 6+ ion beams on Arabidopsis. FRONTIERS IN PLANT SCIENCE 2024; 14:1337640. [PMID: 38312361 PMCID: PMC10835405 DOI: 10.3389/fpls.2023.1337640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 12/31/2023] [Indexed: 02/06/2024]
Abstract
Introduction Heavy ion beam is a novel approach for crop mutagenesis with the advantage of high energy transfer line density and low repair effect after injury, however, little investigation on the biological effect on plant was performed. 50 Gy irradiation significantly stimulated the growth of Arabidopsis seedlings, as indicated by an increase in root and biomass, while 200 Gy irradiation significantly inhibited the growth of seedlings, causing a visible decrease in plant growth. Methods The Arabidopsis seeds were irradiated by 12C6+. Monte Carlo simulations were used to calculate the damage to seeds and particle trajectories by ion implantation. The seed epidermis received SEM detection and changes in its organic composition were detected using FTIR. Evidence of ROS and antioxidant systems were analyzed. RNA-seq and qPCR were used to detect changes in seedling transcript levels. Results and discussion Monte Carlo simulations revealed that high-dose irradiation causes various damage. Evidence of ROS and antioxidant systems implies that the emergence of phenotypes in plant cells may be associated with oxidative stress. Transcriptomic analysis of the seedlings demonstrated that 170 DEGs were present in the 50 Gy and 200 Gy groups and GO enrichment indicated that they were mainly associated with stress resistance and cell wall homeostasis. Further GO enrichment of DEGs unique to 50 Gy and 200 Gy revealed 58 50Gy-exclusive DEGs were enriched in response to oxidative stress and jasmonic acid entries, while 435 200 Gy-exclusive DEGs were enriched in relation to oxidative stress, organic cyclic compounds, and salicylic acid. This investigation advances our insight into the biological effects of heavy ion irradiation and the underlying mechanisms.
Collapse
Affiliation(s)
- Yue Yin
- Henan Key Laboratory of Ion-beam Bioengineering, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou, China
- State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Dongjie Cui
- Henan Key Laboratory of Ion-beam Bioengineering, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou, China
- State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
- Sanya Institute, Zhengzhou University, Zhengzhou, China
| | - Qing Chi
- State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
- Sanya Institute, Zhengzhou University, Zhengzhou, China
| | - Hangbo Xu
- State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
- Sanya Institute, Zhengzhou University, Zhengzhou, China
| | - Panfeng Guan
- State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
- Sanya Institute, Zhengzhou University, Zhengzhou, China
| | - Hanfeng Zhang
- State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Tao Jiao
- Asset Management Co., Ltd, Henan Institute of Science and Technology, Xinxiang, China
| | - Xiaojie Wang
- School of Bioengineering, Xinxiang University, Xinxiang, China
| | - Lin Wang
- College of Biology and Food Engineering, Anyang Institute of Technology, Anyang, China
| | - Hao Sun
- Henan Key Laboratory of Ion-beam Bioengineering, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou, China
- State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
- Sanya Institute, Zhengzhou University, Zhengzhou, China
| |
Collapse
|
16
|
Zhang P, Liu B, Mu X, Xu J, Du B, Wang J, Liu Z, Tong Z. Performance of Classification Models of Toxins Based on Raman Spectroscopy Using Machine Learning Algorithms. Molecules 2023; 29:197. [PMID: 38202780 PMCID: PMC10780255 DOI: 10.3390/molecules29010197] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 12/21/2023] [Accepted: 12/26/2023] [Indexed: 01/12/2024] Open
Abstract
Rapid and accurate detection of protein toxins is crucial for public health. The Raman spectra of several protein toxins, such as abrin, ricin, staphylococcal enterotoxin B (SEB), and bungarotoxin (BGT), have been studied. Multivariate scattering correction (MSC), Savitzky-Golay smoothing (SG), and wavelet transform methods (WT) were applied to preprocess Raman spectra. A principal component analysis (PCA) was used to extract spectral features, and the PCA score plots clustered four toxins with two other proteins. The k-means clustering results show that the spectra processed with MSC and MSC-SG methods have the best classification performance. Then, the two data types were classified using partial least squares discriminant analysis (PLS-DA) with an accuracy of 100%. The prediction results of the PCA and PLS-DA and the partial least squares regression model (PLSR) perform well for the fingerprint region spectra. The PLSR model demonstrates excellent classification and regression ability (accuracy = 100%, Rcv = 0.776). Four toxins were correctly classified with interference from two proteins. Classification models based on spectral feature extraction were established. This strategy shows excellent potential in toxin detection and public health protection. These models provide alternative paths for the development of rapid detection devices.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Zhaoyang Tong
- State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China; (P.Z.); (B.L.); (X.M.); (J.X.); (B.D.); (J.W.); (Z.L.)
| |
Collapse
|
17
|
Wang K, Chen J, Martiniuk J, Ma X, Li Q, Measday V, Lu X. Species identification and strain discrimination of fermentation yeasts Saccharomyces cerevisiae and Saccharomyces uvarum using Raman spectroscopy and convolutional neural networks. Appl Environ Microbiol 2023; 89:e0167323. [PMID: 38038459 PMCID: PMC10734496 DOI: 10.1128/aem.01673-23] [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: 09/20/2023] [Accepted: 10/23/2023] [Indexed: 12/02/2023] Open
Abstract
IMPORTANCE The use of S. cerevisiae and S. uvarum yeast starter cultures is a common practice in the alcoholic beverage fermentation industry. As yeast strains from different or the same species have variable fermentation properties, rapid and reliable typing of yeast strains plays an important role in the final quality of the product. In this study, Raman spectroscopy combined with CNN achieved accurate identification of S. cerevisiae and S. uvarum isolates at both the species and strain levels in a rapid, non-destructive, and easy-to-operate manner. This approach can be utilized to test the identity of commercialized dry yeast products and to monitor the diversity of yeast strains during fermentation. It provides great benefits as a high-throughput screening method for agri-food and the alcoholic beverage fermentation industry. This proposed method has the potential to be a powerful tool to discriminate S. cerevisiae and S. uvarum strains in taxonomic, ecological studies and fermentation applications.
Collapse
Affiliation(s)
- Kaidi Wang
- Food, Nutrition and Health Program, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Food Science and Agricultural Chemistry, Faculty of Agricultural and Environmental Sciences, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada
| | - Jing Chen
- Food, Nutrition and Health Program, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Jay Martiniuk
- Wine Research Centre, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Xiangyun Ma
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Qifeng Li
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Vivien Measday
- Wine Research Centre, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Xiaonan Lu
- Food, Nutrition and Health Program, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Food Science and Agricultural Chemistry, Faculty of Agricultural and Environmental Sciences, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada
| |
Collapse
|
18
|
Wu Y, Wang Y, He C, Wang Y, Ma J, Lin Y, Zhou L, Xu S, Ye Y, Yin W, Ye J, Lu J. Precise diagnosis of breast phyllodes tumors using Raman spectroscopy: Biochemical fingerprint, tumor metabolism and possible mechanism. Anal Chim Acta 2023; 1283:341897. [PMID: 37977771 DOI: 10.1016/j.aca.2023.341897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/31/2023] [Accepted: 10/09/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Breast fibroadenomas and phyllodes tumors are both fibroepithelial tumors with comparable histological characteristics. However, rapid and precise differential diagnosis is a tough point in clinical pathology. Given the tendency of phyllodes tumors to recur, the difficulty in differential diagnosis with fibroadenomas leads to the difficulty in optimal management for these patients. METHOD In this study, we used Raman spectroscopy to differentiate phyllodes tumors from breast fibroadenomas based on the biochemical and metabolic composition and develop a classification model. The model was validated by 5-fold cross-validation in the training set and tested in an independent test set. The potential metabolic differences between the two types of tumors observed in Raman spectroscopy were confirmed by targeted metabolomic analysis using liquid chromatography-tandem mass spectrometry (LC-MS/MS). RESULTS A total of 204 patients with formalin-fixed paraffin-embedded (FFPE) tissue samples, including 100 fibroadenomas and 104 phyllodes tumors were recruited from April 2014 to August 2021. All patients were randomly divided into the training cohort (n = 153) and the test cohort (n = 51). The Raman classification model could differentiate phyllodes tumor versus fibroadenoma with cross-validation accuracy, sensitivity, precision, and area under curve (AUC) of 85.58 % ± 1.77 %, 83.82 % ± 1.01 %, 87.65 % ± 4.22 %, and 93.18 % ± 1.98 %, respectively. When tested in the independent test set, it performed well with the test accuracy, sensitivity, specificity, and AUC of 83.50 %, 86.54 %, 80.39 %, and 90.71 %. Furthermore, the AUC was significantly higher for the Raman model than that for ultrasound (P = 0.0017) and frozen section diagnosis (P < 0.0001). When it came to much more difficult diagnosis between fibroadenoma and benign or small-size phyllodes tumor for pathological examination, the Raman model was capable of differentiating with AUC up to 97.45 % and 95.61 %, respectively. On the other hand, targeted metabolomic analysis, based on fresh-frozen tissue samples, confirmed the differential metabolites (including thymine, dihydrothymine, trans-4-hydroxy-l-proline, etc.) identified from Raman spectra between phyllodes tumor and fibroadenoma. SIGNIFICANCE AND NOVELTY In this study, we obtained the molecular information map of breast phyllodes tumors provided by Raman spectroscopy for the first time. We identified a novel Raman fingerprint signature with the potential to precisely characterize and distinguish phyllodes tumors from fibroadenoma as a quick and accurate diagnostic tool. Raman spectroscopy is expected to further guide the precise diagnosis and optimal treatment of breast fibroepithelial tumors in the future.
Collapse
Affiliation(s)
- Yifan Wu
- Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, PR China
| | - Yaohui Wang
- Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, PR China.
| | - Chang He
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, PR China
| | - Yan Wang
- Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, PR China
| | - Jiayi Ma
- Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, PR China
| | - Yanping Lin
- Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, PR China
| | - Liheng Zhou
- Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, PR China
| | - Shuguang Xu
- Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, PR China
| | - Yumei Ye
- Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, PR China
| | - Wenjin Yin
- Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, PR China.
| | - Jian Ye
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, PR China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200240, PR China; Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, PR China.
| | - Jingsong Lu
- Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, PR China.
| |
Collapse
|
19
|
Jiang T, Duan J, Zhang Z, Xie B, Yang Z. Performance matching of common pesticides in banana plantations on the surface of banana leaves at different growth stages. PEST MANAGEMENT SCIENCE 2023; 79:5116-5129. [PMID: 37565694 DOI: 10.1002/ps.7713] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 08/02/2023] [Accepted: 08/10/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND The effective deposition of pesticide droplets on a target leaf surface is critical for decreasing pesticide application rates. The wettability between the target leaf surface and the pesticide spray liquid should be investigated in depth, with the aim of enhancing the adhesion of pesticide solutions. The wetting and deposition behavior of pesticides on target leaves depends on the properties of the liquid and the physical and chemical properties of the leaves. The physical and chemical properties of leaves vary with growth stage. This study aims to investigate the wetting behavior of banana leaf surfaces at different stages. RESULTS The microstructures and chemical compositions of banana leaf surfaces at different stages were studied using modern methods. The surface structure of banana leaves exhibited a wide variety of characteristics at different growth stages, and the chemical composition changed marginally. The surface free energy (SFE) and polar and non-polar components of banana leaves at different growth stages were measured by examining the contact angles (CA) of different test solutions on the surface of banana leaves. Previous research has suggested that changes in the CA and SFE correlate with changes in leaf surface wettability. In general, the new upper leaves of banana trees are composed of polar components and exhibit hydrophobicity. Non-polar components become dominant as the leaf grows. The back surface of banana leaves was non-polar at all growth stages, with a trend that was opposite to that of the front surface. The critical surface tension of the banana leaf surface at different growth stages ranged from 7.83 to 24.22 mN m-1 , thus falling into the category of a low-energy surface. CONCLUSION The surface roughness and chemical characteristics of banana leaves affected the wettability of the leaf surface. Differences in the free energy and the polar and non-polar components of the leaf surface at were seen at different growth stages. This study provides a favorable reference for the rational control of pesticide spraying parameters and the enhancement of wetting and adhesion of the solution on banana leaf surfaces. © 2023 Society of Chemical Industry.
Collapse
Affiliation(s)
- Tingting Jiang
- College of Engineering, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Jieli Duan
- College of Engineering, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Zhihong Zhang
- College of Engineering, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Bowei Xie
- College of Engineering, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Zhou Yang
- College of Engineering, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
- School of Mechanical Engineering, Guangdong Ocean University, Zhanjiang, China
| |
Collapse
|
20
|
Kluz-Barłowska M, Kluz T, Paja W, Sarzyński J, Łączyńska-Madera M, Odrzywolski A, Król P, Cebulski J, Depciuch J. FT-Raman data analyzed by multivariate and machine learning as a new methods for detection spectroscopy marker of platinum-resistant women suffering from ovarian cancer. Sci Rep 2023; 13:20772. [PMID: 38008780 PMCID: PMC10679116 DOI: 10.1038/s41598-023-48169-3] [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: 10/04/2023] [Accepted: 11/22/2023] [Indexed: 11/28/2023] Open
Abstract
The phenomenon of platinum resistance is a very serious problem in the treatment of ovarian cancer. Unfortunately, no molecular, genetic marker that could be used in assigning women suffering from ovarian cancer to the platinum-resistant or platinum-sensitive group has been discovered so far. Therefore, in this study, for the first time, we used FT-Raman spectroscopy to determine chemical differences and chemical markers presented in serum, which could be used to differentiate platinum-resistant and platinum-sensitive women. The result obtained showed that in the serum collected from platinum-resistant women, a significant increase of chemical compounds was observed in comparison with the serum collected from platinum-sensitive woman. Moreover, a decrease in the ratio between amides vibrations and shifts of peaks, respectively, corresponding to C-C/C-N stretching vibrations from proteins, amide III, amide II, C = O and CH lipids vibrations suggested that in these compounds, structural changes occurred. The Principal Component Analysis (PCA) showed that using FT-Raman range, where the above-mentioned functional groups were present, it was possible to differentiate the serum collected from both analyzed groups. Moreover, C5.0 decision tree clearly showed that Raman shifts at 1224 cm-1 and 2713 cm-1 could be used as a marker of platinum resistance. Importantly, machine learning methods showed that the accuracy, sensitivity and specificity of the FT-Raman spectroscopy were from 95 to 100%.
Collapse
Affiliation(s)
- Marta Kluz-Barłowska
- Department of Pathology, Fryderyk Chopin University Hospital, F. Szopena 2, 35-055, Rzeszow, Poland
| | - Tomasz Kluz
- Department of Gynecology, Gynecology Oncology and Obstetrics, Fryderyk Chopin University Hospital, F.Szopena 2, 35-055, Rzeszow, Poland
- Institute of Medical Sciences, Medical College of Rzeszow University, Kopisto 2a, 35-959, Rzeszow, Poland
| | - Wiesław Paja
- Institute of Computer Science, College of Natural Sciences, University of Rzeszow, Rzeszow, Poland
| | - Jaromir Sarzyński
- Institute of Computer Science, College of Natural Sciences, University of Rzeszow, Rzeszow, Poland
| | - Monika Łączyńska-Madera
- Department of Gynecology, Gynecology Oncology and Obstetrics, Fryderyk Chopin University Hospital, F.Szopena 2, 35-055, Rzeszow, Poland
| | - Adrian Odrzywolski
- Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093, Lublin, Poland
| | - Paweł Król
- College of Medical Sciences, Institute of Physical Culture Studies, University of Rzeszow, 35-959, Rzeszów, Poland
| | - Józef Cebulski
- Institute of Physics, College of Natural Sciences, University of Rzeszow, 35959, Rzeszow, Poland
| | - Joanna Depciuch
- Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093, Lublin, Poland.
- Institute of Nuclear Physics Polish Academy of Sciences, 31342, Krakow, Poland.
| |
Collapse
|
21
|
Pezzotti G, Ohgitani E, Fujita Y, Imamura H, Pappone F, Grillo A, Nakashio M, Shin-Ya M, Adachi T, Yamamoto T, Kanamura N, Marin E, Zhu W, Inaba T, Tanino Y, Nukui Y, Higasa K, Yasukochi Y, Okuma K, Mazda O. Raman Fingerprints of SARS-CoV-2 Omicron Subvariants: Molecular Roots of Virological Characteristics and Evolutionary Directions. ACS Infect Dis 2023; 9:2226-2251. [PMID: 37850869 PMCID: PMC10644350 DOI: 10.1021/acsinfecdis.3c00312] [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: 07/03/2023] [Indexed: 10/19/2023]
Abstract
The latest RNA genomic mutation of SARS-CoV-2 virus, termed the Omicron variant, has generated a stream of highly contagious and antibody-resistant strains, which in turn led to classifying Omicron as a variant of concern. We systematically collected Raman spectra from six Omicron subvariants available in Japan (i.e., BA.1.18, BA.2, BA.4, BA.5, XE, and BA.2.75) and applied machine-learning algorithms to decrypt their structural characteristics at the molecular scale. Unique Raman fingerprints of sulfur-containing amino acid rotamers, RNA purines and pyrimidines, tyrosine phenol ring configurations, and secondary protein structures clearly differentiated the six Omicron subvariants. These spectral characteristics, which were linked to infectiousness, transmissibility, and propensity for immune evasion, revealed evolutionary motifs to be compared with the outputs of genomic studies. The availability of a Raman "metabolomic snapshot", which was then translated into a barcode to enable a prompt subvariant identification, opened the way to rationalize in real-time SARS-CoV-2 activity and variability. As a proof of concept, we applied the Raman barcode procedure to a nasal swab sample retrieved from a SARS-CoV-2 patient and identified its Omicron subvariant by coupling a commercially available magnetic bead technology with our newly developed Raman analyses.
Collapse
Affiliation(s)
- Giuseppe Pezzotti
- Ceramic
Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, Kyoto 606-8585, Japan
- Department
of Molecular Genetics, Institute of Biomedical Science, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka 573-1010, Japan
- Department
of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto 602-8566, Japan
- Department
of Orthopedic Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjuku-ku, 160-0023 Tokyo, Japan
- Department
of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
- Department
of Molecular Science and Nanosystems, Ca’
Foscari University of Venice, Via Torino 155, 30172 Venice, Italy
- Department
of Applied Science and Technology, Politecnico
di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
| | - Eriko Ohgitani
- Department
of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto 602-8566, Japan
| | - Yuki Fujita
- Ceramic
Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, Kyoto 606-8585, Japan
| | - Hayata Imamura
- Ceramic
Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, Kyoto 606-8585, Japan
- Department
of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Francesco Pappone
- Department
of Mathematical Science, Politecnico di
Torino, Corso Duca degli
Abruzzi 24, 10129 Torino, Italy
| | - Alfio Grillo
- Department
of Mathematical Science, Politecnico di
Torino, Corso Duca degli
Abruzzi 24, 10129 Torino, Italy
| | - Maiko Nakashio
- Department
of Infection Control & Laboratory Medicine, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto 602-8566, Japan
| | - Masaharu Shin-Ya
- Department
of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto 602-8566, Japan
| | - Tetsuya Adachi
- Department
of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto 602-8566, Japan
- Department
of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
- Department
of Microbiology, Kansai Medical University,
School of Medicine, 2-5-1
Shinmachi, Hirakata 573-1010, Osaka Prefecture, Japan
| | - Toshiro Yamamoto
- Department
of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Narisato Kanamura
- Department
of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Elia Marin
- Ceramic
Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, Kyoto 606-8585, Japan
- Department
of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Wenliang Zhu
- Ceramic
Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, Kyoto 606-8585, Japan
| | - Tohru Inaba
- Department
of Infection Control & Laboratory Medicine, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto 602-8566, Japan
| | - Yoko Tanino
- Department of Clinical Laboratory, University
Hospital, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto 602-8566, Japan
| | - Yoko Nukui
- Department of Clinical Laboratory, University
Hospital, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto 602-8566, Japan
| | - Koichiro Higasa
- Genome Analysis, Institute of Biomedical
Science, Kansai Medical University, 2-3-1 Shin-machi, Hirakata, Osaka 573-1191, Japan
| | - Yoshiki Yasukochi
- Genome Analysis, Institute of Biomedical
Science, Kansai Medical University, 2-3-1 Shin-machi, Hirakata, Osaka 573-1191, Japan
| | - Kazu Okuma
- Department
of Microbiology, Kansai Medical University,
School of Medicine, 2-5-1
Shinmachi, Hirakata 573-1010, Osaka Prefecture, Japan
| | - Osam Mazda
- Department
of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto 602-8566, Japan
| |
Collapse
|
22
|
Grosche VR, Souza LPF, Ferreira GM, Guevara-Vega M, Carvalho T, Silva RRDS, Batista KLR, Abuna RPF, Silva JS, Calmon MDF, Rahal P, da Silva LCN, Andrade BS, Teixeira CS, Sabino-Silva R, Jardim ACG. Mannose-Binding Lectins as Potent Antivirals against SARS-CoV-2. Viruses 2023; 15:1886. [PMID: 37766292 PMCID: PMC10536204 DOI: 10.3390/v15091886] [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: 05/23/2023] [Revised: 08/17/2023] [Accepted: 08/30/2023] [Indexed: 09/29/2023] Open
Abstract
The SARS-CoV-2 entry into host cells is mainly mediated by the interactions between the viral spike protein (S) and the ACE-2 cell receptor, which are highly glycosylated. Therefore, carbohydrate binding agents may represent potential candidates to abrogate virus infection. Here, we evaluated the in vitro anti-SARS-CoV-2 activity of two mannose-binding lectins isolated from the Brazilian plants Canavalia brasiliensis and Dioclea violacea (ConBR and DVL). These lectins inhibited SARS-CoV-2 Wuhan-Hu-1 strain and variants Gamma and Omicron infections, with selectivity indexes (SI) of 7, 1.7, and 6.5, respectively for ConBR; and 25, 16.8, and 22.3, for DVL. ConBR and DVL inhibited over 95% of the early stages of the viral infection, with strong virucidal effect, and also protected cells from infection and presented post-entry inhibition. The presence of mannose resulted in the complete lack of anti-SARS-CoV-2 activity by ConBR and DVL, recovering virus titers. ATR-FTIR, molecular docking, and dynamic simulation between SARS-CoV-2 S and either lectins indicated molecular interactions with predicted binding energies of -85.4 and -72.0 Kcal/Mol, respectively. Our findings show that ConBR and DVL lectins possess strong activities against SARS-CoV-2, potentially by interacting with glycans and blocking virus entry into cells, representing potential candidates for the development of novel antiviral drugs.
Collapse
Affiliation(s)
- Victória Riquena Grosche
- Laboratory of Antiviral Research, Institute of Biomedical Science (ICBIM), Federal University of Uberlândia (UFU), Uberlândia 38405-317, Brazil; (V.R.G.); (G.M.F.)
- Institute of Biosciences, Languages, and Exact Sciences (Ibilce), São Paulo State University (Unesp), São José do Rio Preto 15054-000, Brazil; (T.C.); (M.d.F.C.); (P.R.)
| | - Leandro Peixoto Ferreira Souza
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Institute of Biomedical Science (ICBIM), Federal University of Uberlândia (UFU), Uberlândia 38405-317, Brazil; (L.P.F.S.); (M.G.-V.)
| | - Giulia Magalhães Ferreira
- Laboratory of Antiviral Research, Institute of Biomedical Science (ICBIM), Federal University of Uberlândia (UFU), Uberlândia 38405-317, Brazil; (V.R.G.); (G.M.F.)
| | - Marco Guevara-Vega
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Institute of Biomedical Science (ICBIM), Federal University of Uberlândia (UFU), Uberlândia 38405-317, Brazil; (L.P.F.S.); (M.G.-V.)
| | - Tamara Carvalho
- Institute of Biosciences, Languages, and Exact Sciences (Ibilce), São Paulo State University (Unesp), São José do Rio Preto 15054-000, Brazil; (T.C.); (M.d.F.C.); (P.R.)
| | | | | | - Rodrigo Paolo Flores Abuna
- Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14049-900, Brazil; (R.P.F.A.); (J.S.S.)
- Oswaldo Cruz Foundation (Fiocruz), Bi-Institutional Platform for Translational Medicine, Ribeirão Preto 14049-900, Brazil
| | - João Santana Silva
- Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14049-900, Brazil; (R.P.F.A.); (J.S.S.)
- Oswaldo Cruz Foundation (Fiocruz), Bi-Institutional Platform for Translational Medicine, Ribeirão Preto 14049-900, Brazil
| | - Marília de Freitas Calmon
- Institute of Biosciences, Languages, and Exact Sciences (Ibilce), São Paulo State University (Unesp), São José do Rio Preto 15054-000, Brazil; (T.C.); (M.d.F.C.); (P.R.)
| | - Paula Rahal
- Institute of Biosciences, Languages, and Exact Sciences (Ibilce), São Paulo State University (Unesp), São José do Rio Preto 15054-000, Brazil; (T.C.); (M.d.F.C.); (P.R.)
| | | | - Bruno Silva Andrade
- Laboratory of Bioinformatics and Computational Chemistry, State University of Southwest of Bahia, Jequié 45205-490, Brazil;
| | - Claudener Souza Teixeira
- Center of Agrarian Science and Biodiversity, Federal University of Cariri (UFCA), Crato 63130-025, Brazil; (R.R.d.S.S.); (C.S.T.)
| | - Robinson Sabino-Silva
- Innovation Center in Salivary Diagnostic and Nanobiotechnology, Institute of Biomedical Science (ICBIM), Federal University of Uberlândia (UFU), Uberlândia 38405-317, Brazil; (L.P.F.S.); (M.G.-V.)
| | - Ana Carolina Gomes Jardim
- Laboratory of Antiviral Research, Institute of Biomedical Science (ICBIM), Federal University of Uberlândia (UFU), Uberlândia 38405-317, Brazil; (V.R.G.); (G.M.F.)
- Institute of Biosciences, Languages, and Exact Sciences (Ibilce), São Paulo State University (Unesp), São José do Rio Preto 15054-000, Brazil; (T.C.); (M.d.F.C.); (P.R.)
| |
Collapse
|
23
|
Pesen T, Haydaroglu M, Capar S, Parlatan U, Unlu MB. Comparison of the human's and camel's red blood cell deformability by optical tweezers and Raman spectroscopy. Biochem Biophys Rep 2023; 35:101490. [PMID: 37664525 PMCID: PMC10474369 DOI: 10.1016/j.bbrep.2023.101490] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/09/2023] [Accepted: 05/21/2023] [Indexed: 09/05/2023] Open
Abstract
Red blood cells of vertebrates have undergone evolutionary changes over time, leading to the diversification of morphological and mechanical properties of red blood cells (RBCs). Among the vertebrates, camelids have the most different RBC characteristics. As a result of adaptation to the desert environment, camelid RBCs can expand twice as much of their total volume in the case of rapid hydration yet are almost undeformable under mechanical stress. In this work, the mechanical and chemical differences in the RBC properties of the human and camelid species were examined using optical tweezers and Raman spectroscopy. We measured the deformability of camel and human RBCs at the single-cell level using optical tweezers. We found that the deformability index (DI) of the camel and the human RBCs were 0.024 ± 0.019 and 0.215 ± 0.061, respectively. To investigate the chemical properties of these cells, we measured the Raman spectra of the whole blood samples. The result of our study indicated that some of the Raman peaks observed on the camel's blood spectrum were absent in the human blood's spectrum, which further points to the difference in chemical contents of these two species' RBCs.
Collapse
Affiliation(s)
- Tuna Pesen
- Bogazici University, Department of Physics, Istanbul, 34470, Turkiye
| | - Mete Haydaroglu
- Bogazici University, Department of Physics, Istanbul, 34470, Turkiye
| | - Simal Capar
- Bogazici University, Department of Physics, Istanbul, 34470, Turkiye
| | - Ugur Parlatan
- Bogazici University, Department of Physics, Istanbul, 34470, Turkiye
| | | |
Collapse
|
24
|
Li Q, Zhang Z, Ma Z. Raman spectral pattern recognition of breast cancer: A machine learning strategy based on feature fusion and adaptive hyperparameter optimization. Heliyon 2023; 9:e18148. [PMID: 37501962 PMCID: PMC10368853 DOI: 10.1016/j.heliyon.2023.e18148] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 07/08/2023] [Accepted: 07/10/2023] [Indexed: 07/29/2023] Open
Abstract
Raman spectroscopy, as a kind of molecular vibration spectroscopy, provides abundant information for measuring components and molecular structure in the early detection and diagnosis of breast cancer. Currently, portable Raman spectrometers have simplified and made equipment application more affordable, albeit at the cost of sacrificing the signal-to-noise ratio (SNR). Consequently, this necessitates a higher recognition rate from pattern recognition algorithms. Our study employs a feature fusion strategy to reduce the dimensionality of high-dimensional Raman spectra and enhance the discriminative information between normal tissues and tumors. In the conducted random experiment, the classifier achieved a performance of over 96% for all three average metrics: accuracy, sensitivity, and specificity. Additionally, we propose a multi-parameter serial encoding evolutionary algorithm (MSEA) and integrate it into the Adaptive Local Hyperplane K-nearest Neighbor classification algorithm (ALHK) for adaptive hyperparameter optimization. The implementation of serial encoding tackles the predicament of parallel optimization in multi-hyperparameter vector problems. To bolster the convergence of the optimization algorithm towards a global optimal solution, an exponential viability function is devised for nonlinear processing. Moreover, an improved elitist strategy is employed for individual selection, effectively eliminating the influence of probability factors on the robustness of the optimization algorithm. This study further optimizes the hyperparameter space through sensitivity analysis of hyperparameters and cross-validation experiments, leading to superior performance compared to the ALHK algorithm with manual hyperparameter configuration.
Collapse
Affiliation(s)
- Qingbo Li
- School of Instrumentation and Optoelectronic Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Beihang University, Xueyuan Road No. 37, Haidian District, Beijing, 100191, China
| | - Zhixiang Zhang
- School of Instrumentation and Optoelectronic Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Beihang University, Xueyuan Road No. 37, Haidian District, Beijing, 100191, China
| | - Zhenhe Ma
- Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Detection Technology, Northeastern University, Qinhuangdao Campus, Qinhuangdao, 066004, China
| |
Collapse
|
25
|
Malissa A, Cappa F, Schreiner M, Marchetti-Deschmann M. Spectral Features Differentiate Aging-Induced Changes in Parchment-A Combined Approach of UV/VIS, µ-ATR/FTIR and µ-Raman Spectroscopy with Multivariate Data Analysis. Molecules 2023; 28:4584. [PMID: 37375138 DOI: 10.3390/molecules28124584] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/30/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023] Open
Abstract
From the moment of production, artworks are constantly exposed to changing environmental factors potentially inducing degradation. Therefore, detailed knowledge of natural degradation phenomena is essential for proper damage assessment and preservation. With special focus on written cultural heritage, we present a study on the degradation of sheep parchment employing accelerated aging with light (295-3000 nm) for one month, 30/50/80% relative humidity (RH) and 50 ppm sulfur dioxide with 30/50/80%RH for one week. UV/VIS spectroscopy detected changes in the sample surface appearance, showing browning after light-aging and increased brightness after SO2-aging. Band deconvolution of ATR/FTIR and Raman spectra and factor analysis of mixed data (FAMD) revealed characteristic changes of the main parchment components. Spectral features for degradation-induced structural changes of collagen and lipids turned out to be different for the employed aging parameters. All aging conditions induced denaturation (of different degrees) indicated by changes in the secondary structure of collagen. Light treatment resulted in the most pronounced changes for collagen fibrils in addition to backbone cleavage and side chain oxidations. Additional increased disorder for lipids was observed. Despite shorter exposure times, SO2-aging led to a weakening of protein structures induced by transitions of stabilizing disulfide bonds and side chain oxidations.
Collapse
Affiliation(s)
- Antonia Malissa
- Institute of Chemical Technologies and Analytics, TU Wien, Getreidemarkt 9, A-1060 Vienna, Austria
- Institute of Science and Technology in Art, Academy of Fine Arts Vienna, Schillerplatz 3, A-1010 Vienna, Austria
| | - Federica Cappa
- Institute of Science and Technology in Art, Academy of Fine Arts Vienna, Schillerplatz 3, A-1010 Vienna, Austria
| | - Manfred Schreiner
- Institute of Chemical Technologies and Analytics, TU Wien, Getreidemarkt 9, A-1060 Vienna, Austria
- Institute of Science and Technology in Art, Academy of Fine Arts Vienna, Schillerplatz 3, A-1010 Vienna, Austria
| | | |
Collapse
|
26
|
Amber A, Nawaz H, Bhatti HN, Mushtaq Z. Surface-enhanced Raman spectroscopy for the characterization of different anatomical subtypes of oral cavity cancer. Photodiagnosis Photodyn Ther 2023:103607. [PMID: 37220841 DOI: 10.1016/j.pdpdt.2023.103607] [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: 03/27/2023] [Revised: 05/04/2023] [Accepted: 05/09/2023] [Indexed: 05/25/2023]
Abstract
BACKGROUND The prognosis for oral cancer patients is still very poor worldwide. Early detection and treatment therapy remain the key issue to be addressed for improved patient survival. The characteristic Raman spectral features associated with the biochemical changes in the blood serum samples can be used for the diagnosis of diseases, particularly for oral cancer. Surface-enhanced Raman spectroscopy (SERS) is a promising technique for non-invasive and early detection of oral cancer by analyzing molecular changes in body fluids. OBJECTIVES To detect oral cavity anatomical subsites (buccal mucosa, cheek, hard palate, lips, mandible, maxilla, tongue and tonsillar region) cancers by using blood serum samples, SERS with principal component analysis is used. MATERIAL AND METHOD SERS is employed with silver nanoparticles for the analysis and detection of oral cancer serum samples by comparing with healthy serum samples. SERS spectra are recorded by Raman instrument and preprocessed using the statistical tool. Principal component analysis (PCA) and Partial least square discriminant analysis (PLS-DA) are used to discriminate between oral cancer serum samples and control serum samples. RESULTS Some major SERS peaks are observed at 1136 cm-1 (Phospholipids) and 1006 cm-1 (Phenylalanine) remain higher in intensities for oral cancer spectra as compared to healthy spectra. The peak at 1241 cm-1 (amide III) is observed only in oral cancer serum samples while absent in healthy serum samples. Higher protein and DNA contents were detected in SERS mean spectra of oral cancer. Moreover, PCA is used to identify the biochemical differences in the form of SERS features which is used to differentiate between oral cancer and healthy blood serum samples, while PLS-DA is used to build differentiation model of oral cancer serum samples and healthy control serum samples. PLS-DA provides successful differentiation with 94% specificity and 95.5% sensitivity. CONCLUSIONS SERS can be used for the diagnosis of oral cancer and to identify metabolic changes that occur during disease development.
Collapse
Affiliation(s)
- Arooj Amber
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, (38000), Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, (38000), Pakistan.
| | - Haq Nawaz Bhatti
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, (38000), Pakistan
| | - Zahid Mushtaq
- Department of Biochemistry, University of Agriculture Faisalabad, Faisalabad, (38000), Pakistan
| |
Collapse
|
27
|
Ehsan U, Nawaz H, Irfan Majeed M, Rashid N, Ali Z, Zulfiqar A, Tariq A, Shahbaz M, Meraj L, Naheed I, Sadaf N. Surface-enhanced Raman spectroscopy of centrifuged blood serum samples of diabetic type II patients by using 50KDa filter devices. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 293:122457. [PMID: 36764165 DOI: 10.1016/j.saa.2023.122457] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 02/03/2023] [Indexed: 06/18/2023]
Abstract
Blood serum contains essential biochemical information which are used for early disease diagnosis. Blood serum consisted of higher molecular weight fractions (HMWF) and lower molecular weight fractions (LMWF). The disease biomarkers are lower molecular weight fraction proteins, and their contribution to disease diagnosis is suppressed due to higher molecular weight fraction proteins. To diagnose diabetes in early stages are difficult because of the presence of huge amount of these HMWF. In the current study, surface-enhanced Raman spectroscopy (SERS) are employed to diagnose diabetes after centrifugation of serum samples using Amicon ultra filter devices of 50 kDa which produced two fractions of whole blood serum of filtrate, low molecular weight fraction, and residue, high molecular weight fraction. Furthermore SERS is employed to study the LMW fractions of healthy and diseased samples. Some prominent SERS bands are observed at 725 cm-1, 842 cm-1, 1025 cm-1, 959 cm-1, and 1447 cm-1 due to small molecular weight proteins, and these biomarkers helped to diagnose the disease early stage. Moreover, chemometric techniques such as principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) are employed to check the potential of surface-enhanced Raman spectroscopy for the differentiation and classifications of the blood serum samples. SERS can be employed for the early diagnosis and screening of biochemical changes during type II diabetes.
Collapse
Affiliation(s)
- Usama Ehsan
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
| | - Zain Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Anam Zulfiqar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ayesha Tariq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Shahbaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Lubna Meraj
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Iqra Naheed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Nimra Sadaf
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| |
Collapse
|
28
|
Guleken Z, Ceylan Z, Çeçen S, Jakubczyk D, Jakubczyk P, Depciuch J. Chemical changes in childhood obesity blood as a marker of the disease. A Raman-based machine learning study. J Pharm Biomed Anal 2023; 233:115445. [PMID: 37209495 DOI: 10.1016/j.jpba.2023.115445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/03/2023] [Accepted: 05/04/2023] [Indexed: 05/22/2023]
Abstract
Obesity in children is a global problem, leading to different medical conditions that may contribute to metabolic syndrome and increase the risk of diabetes, dyslipidemia, hypertension, and cardiovascular diseases in future health. Metabolic disorders are the results of the body's chemical process. The changes in the chemical compositions could be determined by Raman spectroscopy. Therefore, in this study, we measured blood collected from children with obesity to show chemical changes caused by obesity disease. Moreover, we will also show characteristic Raman peaks/regions, which could be used as a marker of obesity, not other metabolic syndromes. Children with obesity had higher glucose levels, proteins, and lipids than the control ones. Furthermore, it was noticed that the ratio between CO and C-H is 0.23 in control patients and 0.31 in children with obesity, as well as the ratio between amide II and amide I was 0.72 in control and 1.15 in obesity, which suggests an imbalance in these two fractions in childhood obesity. PCA with discrimination analyses showed that the accuracy, selectivity, and specificity of Raman spectroscopy in differentiation between childhood obesity and healthy children was between 93% and 100%. There is an increased risk of metabolic changes in childhood obesity with higher glucose levels, lipids, and proteins in children with obesity. Also, there were differences in the ratio between proteins and lipids functional groups and glucose, amide II, and amide I vibrations as a marker of obesity. The results of the study offer valuable insights into potential alterations in protein structure and lipid composition in children with obesity, emphasizing the importance of considering metabolic changes beyond traditional anthropometric, measurements.
Collapse
Affiliation(s)
- Zozan Guleken
- Department of Physiology, Faculty of Medicine, Gaziantep University of Islam Science and Technology, 27220, Gaziantep, Turkey.
| | - Zeynep Ceylan
- Samsun University, Faculty of Engineering, Department of Industrial Engineering, Turkey
| | - Serpil Çeçen
- Health Science University, Hamidiye Faculty of Medicine, Department of Physiology, Istanbul, Turkey
| | - Dorota Jakubczyk
- Faculty of Mathematics and Applied Physics, Rzeszow University of Technology, Powstancow Warszawy 12, PL-35959 Rzeszow, Poland
| | | | - Joanna Depciuch
- Institute of Nuclear Physics, PAS, 31342 Krakow, Poland; Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093 Lublin, Poland
| |
Collapse
|
29
|
León-Mejía G, Rueda RA, Pérez Pérez J, Miranda-Guevara A, Moreno OF, Quintana-Sosa M, Trindade C, De Moya YS, Ruiz-Benitez M, Lemus YB, Rodríguez IL, Oliveros-Ortiz L, Acosta-Hoyos A, Pacheco-Londoño LC, Muñoz A, Hernández-Rivera SP, Olívero-Verbel J, da Silva J, Henriques JAP. Analysis of the cytotoxic and genotoxic effects in a population chronically exposed to coal mining residues. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:54095-54105. [PMID: 36869947 PMCID: PMC10119205 DOI: 10.1007/s11356-023-26136-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
During coal mining activities, many compounds are released into the environment that can negatively impact human health. Particulate matter, polycyclic aromatic hydrocarbons (PAHs), metals, and oxides are part of the complex mixture that can affect nearby populations. Therefore, we designed this study to evaluate the potential cytotoxic and genotoxic effects in individuals chronically exposed to coal residues from peripheral blood lymphocytes and buccal cells. We recruited 150 individuals who lived more than 20 years in La Loma-Colombia and 120 control individuals from the city of Barranquilla without a history of exposure to coal mining. In the cytokinesis-block micronucleus cytome (CBMN-Cyt) assay, significant differences in the frequency of micronucleus (MN), nucleoplasmic bridge (NPB), nuclear bud (NBUD), and apoptotic cells (APOP) were observed between the two groups. In the buccal micronucleus cytome (BM-Cyt) assay, a significant formation of NBUD, karyorrhexis (KRX), karyolysis (KRL), condensed chromatin (CC), and binucleated (BN) cells was observed in the exposed group. Considering the characteristics of the study group, a significant correlation for CBMN-Cyt was found between NBUD and vitamin consumption, between MN or APOP and meat consumption, and between MN and age. Moreover, a significant correlation for BM-Cyt was found between KRL and vitamin consumption or age, and BN versus alcohol consumption. Using Raman spectroscopy, a significant increase in the concentration of DNA/RNA bases, creatinine, polysaccharides, and fatty acids was detected in the urine of individuals exposed to coal mining compared to the control group. These results contribute to the discussion on the effects of coal mining on nearby populations and the development of diseases due to chronic exposure to these residues.
Collapse
Affiliation(s)
- Grethel León-Mejía
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia.
| | - Robinson Alvarez Rueda
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Jose Pérez Pérez
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Alvaro Miranda-Guevara
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Ornella Fiorillo Moreno
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Milton Quintana-Sosa
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Cristiano Trindade
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Yurina Sh De Moya
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Martha Ruiz-Benitez
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Yesit Bello Lemus
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Ibeth Luna Rodríguez
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Ludis Oliveros-Ortiz
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Antonio Acosta-Hoyos
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Leonardo C Pacheco-Londoño
- Centro de Investigaciones en Ciencias de La Vida (CICV), Universidad Simón Bolívar, Cra 53 Calle 64-51, 080002, Barranquilla, Colombia
| | - Amner Muñoz
- Grupo de Investigación en Química Y Biología, Universidad del Norte, Barranquilla, Colombia
| | - Samuel P Hernández-Rivera
- ALERT DHS Center of Excellence for Explosives Research, Department of Chemistry, University of Puerto Rico, Mayagüez, PR, 00681, USA
| | - Jesús Olívero-Verbel
- Environmental and Computational Chemistry Group, School of Pharmaceutical Sciences, Zaragocilla Campus, University of Cartagena, Cartagena, Colombia
| | - Juliana da Silva
- Laboratório de Genética Toxicológica, Universidade Luterana Do Brasil (ULBRA), Canoas-RS, Brazil
| | - João Antonio Pêgas Henriques
- Departamento de Biofísica, Centro de Biotecnologia, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, RS, Brazil
- Programa de Pós-Graduação Em Biotecnologia E Em Ciências Médicas, Universidade Do Vale Do Taquari - UNIVATES, Lajeado, RS, Brazil
| |
Collapse
|
30
|
Nawaz MZ, Nawaz H, Majeed MI, Rashid N, Javed MR, Naz S, Ali MZ, Sabir A, Sadaf N, Rafiq N, Shakeel M, Ali Z, Amin I. Comparison of surface-enhanced Raman spectral data sets of filtrate portions of serum samples of hepatitis B and Hepatitis C infected patients obtained by centrifugal filtration. Photodiagnosis Photodyn Ther 2023; 42:103532. [PMID: 36963645 DOI: 10.1016/j.pdpdt.2023.103532] [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: 12/09/2022] [Revised: 03/13/2023] [Accepted: 03/21/2023] [Indexed: 03/26/2023]
Abstract
BACKGROUND Surface-enhanced Raman spectroscopy (SERS) is an efficient technique which has been used for the analysis of filtrate portions of serum samples of Hepatitis B (HBV) and Hepatitis C (HCV) virus. OBJECTIVES The main reason for this study is to differentiate and compare HBV and HCV serum samples for disease diagnosis through SERS. Hepatitis B and hepatitis C disease biomarkers are more predictable in their centrifuged form as compared in their uncentrifuged form. For differentiation of SERS spectral data sets of hepatitis B, hepatitis C and healthy person principal component analysis (PCA) proved to be a helpful. Centrifugally filtered serum samples of hepatitis B and hepatitis C are clearly differentiated from centrifugally filtered serum samples of healthy individuals by using partial least square discriminant analysis (PLS-DA). METHODOLOGY Serum sample of HBV, HCV and healthy patients were centrifugally filtered to separate filtrate portion for studying biochemical changes in serum sample. The SERS of these samples is performed using silver nanoparticles as substrates to identify specific spectral features of both viral diseases which can be used for the diagnosis and differentiation of these diseases. The purpose of centrifugal filtration of the serum samples of HBV and HCV positive and control samples by using filter membranes of 50 KDa size is to eliminate the proteins bigger than 50 KDa so that their contribution in the SERS spectrum is removed and disease related smaller proteins may be observed. Principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) are statistical tools which were used for the further validation of SERS. RESULTS HBV and HCV centrifugally filtered serum sample were compared and biomarkers including (uracil, phenylalanine, methionine, adenine, phosphodiester, proline, tyrosine, tryptophan, amino acid, thymine, fatty acid, nucleic acid, triglyceride, guanine and hydroxyproline) were identified through PCA and PLS-DA. Principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) were used as a multivariate data analysis tool for the diagnosis of the characteristic SERS spectral features associated with both types of viral diseases. For the classification and differentiation of centrifugally filtered HBV, HCV, and control serum samples, Principal component analysis is found helpful. Moreover, PLS-DA can classify these two distinct sets of SERS spectral data with 0.90 percent specificity, 0.85 percent precision, and 0.83 percent accuracy. CONCLUSIONS Surface enhanced Raman spectroscopy along with chemometric analysis like PCA and PLS-DA have been successfully differentiated HBV and HCV and healthy individuals' serum samples.
Collapse
Affiliation(s)
- Muhammad Zaman Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad (38000), Pakistan.
| | - Muhammad Rizwan Javed
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad (38000), Pakistan
| | - Saima Naz
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad (38000), Pakistan
| | - Muhammad Zeeshan Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan
| | - Amina Sabir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan
| | - Nimra Sadaf
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan
| | - Nighat Rafiq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan
| | - Muhammad Shakeel
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan
| | - Zain Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan
| | - Imran Amin
- PCR Laboratory, PINUM Hospital, Faisalabad (38000), Pakistan
| |
Collapse
|
31
|
Mateus Pereira de Souza N, Hunter Machado B, Koche A, Beatriz Fernandes da Silva Furtado L, Becker D, Antonio Corbellini V, Rieger A. Detection of metabolic syndrome with ATR-FTIR spectroscopy and chemometrics in blood plasma. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 288:122135. [PMID: 36442341 DOI: 10.1016/j.saa.2022.122135] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/02/2022] [Accepted: 11/16/2022] [Indexed: 06/16/2023]
Abstract
Metabolic Syndrome (MetS) is a constellation of 3 or more risk factor (abdominal obesity, high triglycerides, low HDL-c, high blood pressure, and elevated blood glucose) for atherosclerotic cardiovascular disease. Considering these systemic metabolic changes in the biochemical pathways of all biomolecules, Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) spectroscopy is a rapid, low-cost, and reagent-free alternative technique capable of identifying spectral biomarkers that differentiate subjects with MetS from control. In this study, plasma samples from 74 subjects (14 MetS, 60 control) were analyzed on the ATR-FTIR spectrophotometer. The objective was to differentiate subjects with MetS from control with supervised chemometrics modeling (Orthogonal Partial Least Squares-Discriminant Analysis, OPLS-DA). Additionally, the inflammatory status of subjects with MetS and control (supervised by C-reactive protein - CRP, leptin, and cell-free DNA - cfDNA) was verified. The OPLS-DA model achieved 100% sensitivity and specificity in cross-validation. For 1 latent variable (93.4% of variance), RMSECV < 0.002, PRESS CV < 0.0001, and R2 > 0.9999 was obtained. Significant spectrochemical differences (p < 0.05) were found between MetS and control subjects in the following biomolecular regions (cm-1): 1717-1703 [ν(CO) and δ(NH)], 1166-1137 [ν(C-OH) + ν(CO) and ν(CC) + δ(OH) + ν(CO)], 1113-1040 [ν(PO2-) and ν(C-OH)], and 1027-1008 [ν(CO) and v(CH2OH)]. In the OPLS-DA model loadings, amide I [1720-1600 cm-1, ν(CO)] and amide II [1570-1480 cm-1, δ(NH) + ν(CH)] had significantly greater weight than all other regions. There was a significant difference in inflammatory status between MetS patient and control (p < 0.05 for CRP and leptin, and p < 0.01 for cfDNA).
Collapse
Affiliation(s)
| | - Brenda Hunter Machado
- International Affairs, International University Centre, Santa Cruz do Sul, RS, Brazil.
| | - Andreia Koche
- Department of Life Sciences, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil.
| | | | - Débora Becker
- Bachelor of Biological Sciences, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil
| | - Valeriano Antonio Corbellini
- Department of Sciences, Humanities and, Education, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil; Postgraduate Program in Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil; Postgraduate Program in Environmental Technology, University of Santa Cruz do Sul, RS, Brazil.
| | - Alexandre Rieger
- Department of Life Sciences, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil; Postgraduate Program in Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil; Postgraduate Program in Environmental Technology, University of Santa Cruz do Sul, RS, Brazil.
| |
Collapse
|
32
|
Thomas G, Fitzgerald ST, Gautam R, Chen F, Haugen E, Rasiah PK, Adams WR, Mahadevan-Jansen A. Enhanced characterization of breast cancer phenotypes using Raman micro-spectroscopy on stainless steel substrate. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:1188-1205. [PMID: 36799369 DOI: 10.1039/d2ay01764d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Biochemical insights into varying breast cancer (BC) phenotypes can provide a fundamental understanding of BC pathogenesis, while identifying novel therapeutic targets. Raman spectroscopy (RS) can gauge these biochemical differences with high specificity. For routine RS, cells are traditionally seeded onto calcium fluoride (CaF2) substrates that are costly and fragile, limiting its widespread adoption. Stainless steel has been interrogated previously as a less expensive alternative to CaF2 substrates, while reporting increased Raman signal intensity than the latter. We sought to further investigate and compare the Raman signal quality measured from stainless steel versus CaF2 substrates by characterizing different BC phenotypes with altered human epidermal growth factor receptor 2 (HER2) expression. Raman spectra were obtained on stainless steel and CaF2 substrates for HER2 negative cells - MDA-MB-231, MDA-MB-468 and HER2 overexpressing cells - AU565, SKBr3. Upon analyzing signal-to-noise ratios (SNR), stainless steel provided a stronger Raman signal, improving SNR by 119% at 1450 cm-1 and 122% at 2925 cm-1 on average compared to the CaF2 substrate. Utilizing only 22% of laser power on sample relative to the CaF2 substrate, stainless steel still yielded improved spectral characterization over CaF2, achieving 96.0% versus 89.8% accuracy in BC phenotype discrimination and equivalent 100.0% accuracy in HER2 status classification. Spectral analysis further highlighted increased lipogenesis and altered metabolism in HER2 overexpressing cells, which was subsequently visualized with coherent anti-Stokes Raman scattering microscopy. Our findings demonstrate that stainless steel substrates deliver improved Raman signal and enhanced spectral characterization, underscoring its potential as a cost-effective alternative to CaF2 for non-invasively monitoring cellular biochemical dynamics in translational cancer research.
Collapse
Affiliation(s)
- Giju Thomas
- Vanderbilt Biophotonics Center, Vanderbilt University, Nashville 37235, TN, USA.
- Department of Biomedical Engineering, Vanderbilt University, Nashville 37235, TN, USA
| | - Sean T Fitzgerald
- Vanderbilt Biophotonics Center, Vanderbilt University, Nashville 37235, TN, USA.
- Department of Biomedical Engineering, Vanderbilt University, Nashville 37235, TN, USA
| | - Rekha Gautam
- Tyndall National Institute, Cork, T12 R5CP, Ireland
| | - Fuyao Chen
- Yale School of Medicine, Yale University, New Haven 06510, CT, USA
| | - Ezekiel Haugen
- Vanderbilt Biophotonics Center, Vanderbilt University, Nashville 37235, TN, USA.
- Department of Biomedical Engineering, Vanderbilt University, Nashville 37235, TN, USA
| | - Pratheepa Kumari Rasiah
- Vanderbilt Biophotonics Center, Vanderbilt University, Nashville 37235, TN, USA.
- Department of Biomedical Engineering, Vanderbilt University, Nashville 37235, TN, USA
| | - Wilson R Adams
- Department of Pharmacology, Vanderbilt University, Nashville 37232, TN, USA
| | - Anita Mahadevan-Jansen
- Vanderbilt Biophotonics Center, Vanderbilt University, Nashville 37235, TN, USA.
- Department of Biomedical Engineering, Vanderbilt University, Nashville 37235, TN, USA
| |
Collapse
|
33
|
Prada P, Brunel B, Moulin D, Rouillon L, Netter P, Loeuille D, Slimano F, Bouche O, Peyrin-Biroulet L, Jouzeau JY, Piot O. Identification of circulating biomarkers of Crohn's disease and spondyloarthritis using Fourier transform infrared spectroscopy. JOURNAL OF BIOPHOTONICS 2023; 16:e202200200. [PMID: 36112612 DOI: 10.1002/jbio.202200200] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/14/2022] [Accepted: 09/15/2022] [Indexed: 06/15/2023]
Abstract
Crohn's disease (CD) and spondyloarthritis (SpA) are two inflammatory diseases sharing many common features (genetic polymorphism, armamentarium). Both diseases lack diagnostic markers of certainty. While the diagnosis of CD is made by a combination of clinical, and biological criteria, the diagnosis of SpA may take several years to be confirmed. Based on the hypothesis that CD and SpA alter the biochemical profile of plasma, the objective of this study was to evaluate the analytical capability of Fourier transform infrared spectroscopy (FTIR) in identifying spectral biomarkers. Plasma from 104 patients was analyzed. After data processing of the spectra by Extended Multiplicative Signal Correction and linear discriminant analysis, we demonstrated that it was possible to distinguish CD and SpA from controls with an accuracy of 97% and 85% respectively. Spectral differences were mainly associated with proteins and lipids. This study showed that FTIR analysis is efficient to identify plasma biosignatures specific to CD or SpA.
Collapse
Affiliation(s)
- Pierre Prada
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
| | - Benjamin Brunel
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
- FEMTO-ST Institute, CNRS UMR-6174, Université de Bourgogne Franche-Comté, Besançon, France
| | - David Moulin
- Ingénierie Moléculaire et Ingénierie Articulaire (IMoPA), UMR-7365 CNRS, Faculté de Médecine, Université de Lorraine et Hôpital Universitaire de Nancy, Nancy, France
| | - Lise Rouillon
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
| | - Patrick Netter
- Ingénierie Moléculaire et Ingénierie Articulaire (IMoPA), UMR-7365 CNRS, Faculté de Médecine, Université de Lorraine et Hôpital Universitaire de Nancy, Nancy, France
| | - Damien Loeuille
- Ingénierie Moléculaire et Ingénierie Articulaire (IMoPA), UMR-7365 CNRS, Faculté de Médecine, Université de Lorraine et Hôpital Universitaire de Nancy, Nancy, France
| | - Florian Slimano
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
| | - Olivier Bouche
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
| | - Laurent Peyrin-Biroulet
- Département de Gastroentérologie, Hôpital Universitaire de Nancy-Brabois, Vandœuvre-lès-Nancy, France
| | - Jean-Yves Jouzeau
- Ingénierie Moléculaire et Ingénierie Articulaire (IMoPA), UMR-7365 CNRS, Faculté de Médecine, Université de Lorraine et Hôpital Universitaire de Nancy, Nancy, France
| | - Olivier Piot
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
- Plateforme d'Imagerie Cellulaire ou Tissulaire (PICT), Université de Reims Champagne-Ardenne, Reims, France
| |
Collapse
|
34
|
Building an ensemble learning model for gastric cancer cell line classification via rapid raman spectroscopy. Comput Struct Biotechnol J 2022; 21:802-811. [PMID: 36698976 PMCID: PMC9842960 DOI: 10.1016/j.csbj.2022.12.050] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 12/29/2022] [Accepted: 12/29/2022] [Indexed: 12/31/2022] Open
Abstract
Cell misuse and cross-contamination can affect the accuracy of cell research results and result in wasted time, manpower and material resources. Thus, cell line identification is important and necessary. At present, the commonly used cell line identification methods need cell staining and culturing. There is therefore a need to develop a new method for the rapid and automated identification of cell lines. Raman spectroscopy has become one of the emerging techniques in the field of microbial identification, with the advantages of being rapid and noninvasive and providing molecular information for biological samples, which is beneficial in the identification of cell lines. In this study, we built a library of Raman spectra for gastric mucosal epithelial cell lines GES-1 and gastric cancer cell lines, such as AGS, BGC-823, HGC-27, MKN-45, MKN-74 and SNU-16. Five spectral datasets were constructed using spectral data and included the full spectrum, fingerprint region, high-wavelength number region and Raman background of Raman spectra. A stacking ensemble learning model, SL-Raman, was built for different datasets, and gastric cancer cell identification was achieved. For the gastric cancer cells we studied, the differentiation accuracy of SL-Raman was 100% for one of the gastric cancer cells and 100% for six of the gastric cancer cells. Additionally, the separation accuracy for two gastric cancer cells with different degrees of differentiation was 100%. These results demonstrate that Raman spectroscopy combined with SL-Raman may be a new method for the rapid and accurate identification of gastric cancer. In addition, the accuracy of 94.38% for classifying Raman spectral background data using machine learning demonstrates that the Raman spectral background contains some useful spectral features. These data have been overlooked in previous studies.
Collapse
|
35
|
Callery EL, Morais CLM, Nugent L, Rowbottom AW. Classification of Systemic Lupus Erythematosus Using Raman Spectroscopy of Blood and Automated Computational Detection Methods: A Novel Tool for Future Diagnostic Testing. Diagnostics (Basel) 2022; 12:diagnostics12123158. [PMID: 36553165 PMCID: PMC9777204 DOI: 10.3390/diagnostics12123158] [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: 10/24/2022] [Revised: 12/08/2022] [Accepted: 12/11/2022] [Indexed: 12/16/2022] Open
Abstract
The aim of this study was to explore the proof of concept for using Raman spectroscopy as a diagnostic platform in the setting of systemic lupus erythematosus (SLE). We sought to identify unique Raman signatures in serum blood samples to successfully segregate SLE patients from healthy controls (HC). In addition, a retrospective audit was undertaken to assess the clinical utility of current testing platforms used to detect anti-double stranded DNA (dsDNA) antibodies (n = 600). We examined 234 Raman spectra to investigate key variances between SLE patients (n = 8) and HC (n = 4). Multi-variant analysis and classification model construction was achieved using principal component analysis (PCA), PCA-linear discriminant analysis and partial least squares-discriminant analysis (PLS-DA). We achieved the successful segregation of Raman spectra from SLE patients and healthy controls (p-value < 0.0001). Classification models built using PLS-DA demonstrated outstanding performance characteristics with 99% accuracy, 100% sensitivity and 99% specificity. Twelve statistically significant (p-value < 0.001) wavenumbers were identified as potential diagnostic spectral markers. Molecular assignments related to proteins and DNA demonstrated significant Raman intensity changes between SLE and HC groups. These wavenumbers may serve as future biomarkers and offer further insight into the pathogenesis of SLE. Our audit confirmed previously reported inconsistencies between two key methodologies used to detect anti-dsDNA, highlighting the need for improved laboratory testing for SLE. Raman spectroscopy has demonstrated powerful performance characteristics in this proof-of-concept study, setting the foundations for future translation into the clinical setting.
Collapse
Affiliation(s)
- Emma L. Callery
- Department of Immunology, Royal Preston Hospital, Preston PR2 9HT, UK
- Correspondence: (E.L.C.); (A.W.R.)
| | - Camilo L. M. Morais
- Institute of Chemistry, Federal University of Rio Grande do Norte, Natal 59072-970, Brazil
| | - Lucy Nugent
- Department of Immunology, Whiston Hospital, Prescot L35 5DR, UK
| | - Anthony W. Rowbottom
- Department of Immunology, Royal Preston Hospital, Preston PR2 9HT, UK
- School of Medicine, University of Central Lancashire, Preston PR1 2HE, UK
- Correspondence: (E.L.C.); (A.W.R.)
| |
Collapse
|
36
|
Villamanca JJ, Hermogino LJ, Ong KD, Paguia B, Abanilla L, Lim A, Angeles LM, Espiritu B, Isais M, Tomas RC, Albano PM. Predicting the Likelihood of Colorectal Cancer with Artificial Intelligence Tools Using Fourier Transform Infrared Signals Obtained from Tumor Samples. APPLIED SPECTROSCOPY 2022; 76:1412-1428. [PMID: 35821580 DOI: 10.1177/00037028221116083] [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] [Indexed: 06/15/2023]
Abstract
The early and accurate detection of colorectal cancer (CRC) significantly affects its prognosis and clinical management. However, current standard diagnostic procedures for CRC often lack sensitivity and specificity since most rely on visual examination. Hence, there is a need to develop more accurate methods for its diagnosis. Support vector machine (SVM) and feedforward neural network (FNN) models were designed using the Fourier transform infrared (FT-IR) spectral data of several colorectal tissues that were unanimously identified as either benign or malignant by different unrelated pathologists. The set of samples in which the pathologists had discordant readings were then analyzed using the AI models described above. Between the SVM and NN models, the NN model was able to outperform the SVM model based on their prediction confidence scores. Using the spectral data of the concordant samples as training set, the FNN was able to predict the histologically diagnosed malignant tissues (n = 118) at 59.9-99.9% confidence (average = 93.5%). Of the 118 samples, 84 (71.18%) were classified with an above average confidence score, 34 (28.81%) classified below the average confidence score, and none was misclassified. Moreover, it was able to correctly identify the histologically confirmed benign samples (n = 83) at 51.5-99.7% confidence (average = 91.64%). Of the 83 samples, 60 (72.29%) were classified with an above average confidence score, 22 (26.51%) classified below the average confidence score, and only 1 sample (1.20%) was misclassified. The study provides additional proof of the ability of attenuated total reflection (ATR) FT-IR enhanced by AI tools to predict the likelihood of CRC without dependence on morphological changes in tissues.
Collapse
Affiliation(s)
- John Jerald Villamanca
- Department of Biological Sciences, College of Science, 564927University of Santo Tomas, Manila, Philippines
| | - Lemuel John Hermogino
- Department of Biological Sciences, College of Science, 564927University of Santo Tomas, Manila, Philippines
| | - Katherine Denise Ong
- Department of Biological Sciences, College of Science, 564927University of Santo Tomas, Manila, Philippines
| | - Brian Paguia
- Department of Biological Sciences, College of Science, 564927University of Santo Tomas, Manila, Philippines
| | - Lorenzo Abanilla
- Department of Pathology, Divine Word Hospital, Tacloban City, Philippines
| | - Antonio Lim
- Department of Pathology, Divine Word Hospital, Tacloban City, Philippines
| | - Lara Mae Angeles
- Department of Pathology, 596481University of Santo Tomas Hospital, Manila, Philippines
| | - Bernadette Espiritu
- Department of Pathology, 603332Bulacan Medical Center, Malolos City, Philippines
| | - Maura Isais
- Department of Pathology, 603332Bulacan Medical Center, Malolos City, Philippines
- The Graduate School, 595547University of Santo Tomas, Manila, Philippines
| | - Rock Christian Tomas
- Department of Electrical Engineering, 54729University of the Philippines Los Baños, Los Baños, Philippines
| | - Pia Marie Albano
- Department of Biological Sciences, College of Science, 564927University of Santo Tomas, Manila, Philippines
- Department of Pathology, Divine Word Hospital, Tacloban City, Philippines
- Research Center for the Natural and Applied Sciences, 564927University of Santo Tomas, Manila, Philippines
| |
Collapse
|
37
|
Akram M, Majeed MI, Nawaz H, Rashid N, Javed MR, Ali MZ, Raza A, Shakeel M, Hasan HMU, Ali Z, Ehsan U, Shahid M. Surface-enhanced Raman spectroscopy for characterization of filtrate portions of blood serum samples of typhoid patients. Photodiagnosis Photodyn Ther 2022; 40:103199. [PMID: 36371020 DOI: 10.1016/j.pdpdt.2022.103199] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 11/02/2022] [Accepted: 11/08/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Surface-enhanced Raman spectroscopy (SERS) is explored to design a rapid screening method for the characterization and diagnosis of typhoid fever by employing filtrate fractions of blood serum samples obtained by centrifugal filtration with 50 KDa filters. OBJECTIVES The purpose of this study, to separate the filtrate portions of blood serum samples in this way contain proteins smaller than 50 kDa and removal of bigger size protein which allows to acquire the SERS spectral features of smaller proteins more effectively which are probably associated with typhoid disease. Disease caused by Salmonella typhi diagnose more effectively by using surface-enhanced Raman spectroscopy (SERS) and multivariate data analysis tools. METHODS SERS was used as a diagnostic tool for typhoid fever by comparison between healthy and diseased samples. For this purpose, all the samples were analyzed by comparing their SERS spectral features. Over the spectral range of 400-1800cm-1, multivariate data analysis techniques such as Principal Component Analysis (PCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) are applied to diagnose and differentiate different filtrate fractions of blood serum samples of patients of typhoid fever and healthy ones. RESULTS By comparing SERS spectra of healthy filtrate with that of filtrate of typhoid sample, the SERS spectral features associated with disease development are identified including PCA is found to be efficient for the qualitative differentiation of all of the samples analyzed. Moreover, PLS-DA successfully identified and classified healthy and typhoid positive blood serum samples with 97 % accuracy, 99 % specificity, 91 % sensitivity and 0.78 area under the receiver operating characteristic (AUROC) curve. CONCLUSIONS Surface enhanced Raman spectroscopy using silver nanoparticles SERS substrate, is found to be useful technique for the quick identification and evaluation of filtrate fractions of the blood serum samples of healthy and typhoid samples for disease diagnosis.
Collapse
Affiliation(s)
- Maria Akram
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
| | - Muhammad Rizwan Javed
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad 38000, Pakistan
| | - Muhammad Zeeshan Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ali Raza
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Shakeel
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Hafiz Mahmood Ul Hasan
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Zain Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Usama Ehsan
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Shahid
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| |
Collapse
|
38
|
Milligan K, Van Nest SJ, Deng X, Ali-Adeeb R, Shreeves P, Punch S, Costie N, Pavey N, Crook JM, Berman DM, Brolo AG, Lum JJ, Andrews JL, Jirasek A. Raman spectroscopy and supervised learning as a potential tool to identify high-dose-rate-brachytherapy induced biochemical profiles of prostate cancer. JOURNAL OF BIOPHOTONICS 2022; 15:e202200121. [PMID: 35908273 DOI: 10.1002/jbio.202200121] [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: 04/20/2022] [Revised: 06/14/2022] [Accepted: 07/08/2022] [Indexed: 06/15/2023]
Abstract
High-dose-rate-brachytherapy (HDR-BT) is an increasingly attractive alternative to external beam radiation-therapy for patients with intermediate risk prostate cancer. Despite this, no bio-marker based method currently exists to monitor treatment response, and the changes which take place at the biochemical level in hypo-fractionated HDR-BT remain poorly understood. The aim of this pilot study is to assess the capability of Raman spectroscopy (RS) combined with principal component analysis (PCA) and random-forest classification (RF) to identify radiation response profiles after a single dose of 13.5 Gy in a cohort of nine patients. We here demonstrate, as a proof-of-concept, how RS-PCA-RF could be utilised as an effective tool in radiation response monitoring, specifically assessing the importance of low variance PCs in complex sample sets. As RS provides information on the biochemical composition of tissue samples, this technique could provide insight into the changes which take place on the biochemical level, as result of HDR-BT treatment.
Collapse
Affiliation(s)
- Kirsty Milligan
- Department of Physics, University of British Columbia, Kelowna, Canada
| | - Samantha J Van Nest
- Trev and Joyce Deeley Research Centre, BC Cancer-Victoria, Victoria, Canada
- Department of Radiation Oncology, Weill Cornell Medicine, New York, New York, USA
| | - Xinchen Deng
- Department of Physics, University of British Columbia, Kelowna, Canada
| | - Ramie Ali-Adeeb
- Department of Physics, University of British Columbia, Kelowna, Canada
| | - Phillip Shreeves
- Department of Mathematics and Statistics, University of British Columbia, Kelowna, Canada
| | - Samantha Punch
- Trev and Joyce Deeley Research Centre, BC Cancer-Victoria, Victoria, Canada
| | - Nathalie Costie
- Trev and Joyce Deeley Research Centre, BC Cancer-Victoria, Victoria, Canada
| | - Nils Pavey
- Trev and Joyce Deeley Research Centre, BC Cancer-Victoria, Victoria, Canada
| | - Juanita M Crook
- Sindi Ahluwalia Hawkins Centre for the Southern Interior, BC Cancer, Kelowna, Canada
- Department of Radiation Oncology, University of British Columbia, Kelowna, Canada
| | - David M Berman
- Department of Pathology and Molecular Medicine, Queens University, Kingston, Canada
| | | | - Julian J Lum
- Trev and Joyce Deeley Research Centre, BC Cancer-Victoria, Victoria, Canada
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, Canada
| | - Jeffrey L Andrews
- Department of Mathematics and Statistics, University of British Columbia, Kelowna, Canada
| | - Andrew Jirasek
- Department of Physics, University of British Columbia, Kelowna, Canada
| |
Collapse
|
39
|
Cao D, Lin H, Liu Z, Gu Y, Hua W, Cao X, Qian Y, Xu H, Zhu X. Serum-based surface-enhanced Raman spectroscopy combined with PCA-RCKNCN for rapid and accurate identification of lung cancer. Anal Chim Acta 2022; 1236:340574. [DOI: 10.1016/j.aca.2022.340574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 10/15/2022] [Accepted: 10/29/2022] [Indexed: 11/05/2022]
|
40
|
Mushtaq A, Nawaz H, Irfan Majeed M, Rashid N, Tahir M, Zaman Nawaz M, Shahzad K, Dastgir G, Zaki Abdul Bari R, Ul Haq A, Saleem M, Akhtar F. Surface-enhanced Raman spectroscopy (SERS) for monitoring colistin-resistant and susceptible E. coli strains. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 278:121315. [PMID: 35576839 DOI: 10.1016/j.saa.2022.121315] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 03/21/2022] [Accepted: 04/24/2022] [Indexed: 06/15/2023]
Abstract
The emergence of drug-resistant bacteria is a precarious global health concern. In this study, surface-enhanced Raman spectroscopy (SERS) is used to characterize colistin-resistant and susceptible E. coli strains based on their distinguished SERS spectral features for the development of rapid and cost-effective detection and differentiation methods. For this purpose, three colistin-resistant and three colistin susceptible E. coli strains were analyzed by comparing their SERS spectral signatures. Moreover, multivariate data analysis techniques including Principal component analysis (PCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) were used to examine the SERS spectral data of colistin-resistant and susceptible strains. PCA technique was employed for differentiating colistin susceptible and resistant E.coli strains due to alteration in biochemical compositions of the bacterial cell. PLS-DA is employed on SERS spectral data sets for discrimination of these resistant and susceptible E. coli strains with 100% specificity, 100% accuracy, 99.8% sensitivity, and 86% area under receiver operating characteristics (AUROC) curve.
Collapse
Affiliation(s)
- Aqsa Mushtaq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
| | - Muhammad Tahir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Zaman Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Kashif Shahzad
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ghulam Dastgir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Rana Zaki Abdul Bari
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Anwar Ul Haq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Mudassar Saleem
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Farwa Akhtar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| |
Collapse
|
41
|
Rapid Detection of Aspergillus flavus and Quantitative Determination of Aflatoxin B1 in Grain Crops Using a Portable Raman Spectrometer Combined with Colloidal Au Nanoparticles. Molecules 2022; 27:molecules27165280. [PMID: 36014519 PMCID: PMC9414248 DOI: 10.3390/molecules27165280] [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: 07/17/2022] [Revised: 08/10/2022] [Accepted: 08/15/2022] [Indexed: 11/17/2022] Open
Abstract
Aspergillus flavus and Aflatoxins in grain crops give rise to a serious threat to food security and cause huge economic losses. In particular, aflatoxin B1 has been identified as a Class I carcinogen to humans by the International Agency for Research on Cancer (IARC). Compared with conventional methods, Surface-Enhanced Raman Scattering (SERS) has paved the way for the detection of Aspergillus flavus and Aflatoxins in grain crops as it is a rapid, nondestructive, and sensitive analytical method. In this work, the rapid detection of Aspergillus flavus and quantification of Aflatoxin B1 in grain crops were performed by using a portable Raman spectrometer combined with colloidal Au nanoparticles (AuNPs). With the increase of the concentration of Aspergillus flavus spore suspension in the range of 102–108 CFU/mL, the better the combination of Aspergillus flavus spores and AuNPs, the better the enhancement effect of AuNPs solution on the Aspergillus flavus. A series of different concentrations of aflatoxin B1 methanol solution combined with AuNPs were determined based on SERS and their spectra were similar to that of solid powder. Moreover, the characteristic peak increased gradually with the increase of concentration in the range of 0.0005–0.01 mg/L and the determination limit was 0.0005 mg/L, which was verified by HPLC in ppM concentration. This rapid detection method can greatly shorten the detection time from several hours or even tens of hours to a few minutes, which can help to take effective measures to avoid causing large economic losses.
Collapse
|
42
|
Salehi H, Ramoji A, Mougari S, Merida P, Neyret A, Popp J, Horvat B, Muriaux D, Cuisinier F. Specific intracellular signature of SARS-CoV-2 infection using confocal Raman microscopy. Commun Chem 2022; 5:85. [PMID: 35911504 PMCID: PMC9311350 DOI: 10.1038/s42004-022-00702-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 07/01/2022] [Indexed: 01/27/2023] Open
Abstract
SARS-CoV-2 infection remains spread worldwide and requires a better understanding of virus-host interactions. Here, we analyzed biochemical modifications due to SARS-CoV-2 infection in cells by confocal Raman microscopy. Obtained results were compared with the infection with another RNA virus, the measles virus. Our results have demonstrated a virus-specific Raman molecular signature, reflecting intracellular modification during each infection. Advanced data analysis has been used to distinguish non-infected versus infected cells for two RNA viruses. Further, classification between non-infected and SARS-CoV-2 and measles virus-infected cells yielded an accuracy of 98.9 and 97.2 respectively, with a significant increase of the essential amino-acid tryptophan in SARS-CoV-2-infected cells. These results present proof of concept for the application of Raman spectroscopy to study virus-host interaction and to identify factors that contribute to the efficient SARS-CoV-2 infection and may thus provide novel insights on viral pathogenesis, targets of therapeutic intervention and development of new COVID-19 biomarkers.
Collapse
Affiliation(s)
| | - Anuradha Ramoji
- Friedrich-Schiller-University Jena, Institute of Physical Chemistry and Abbe Center of Photonics (IPC), Helmholtzweg 4, D-07743 Jena, Germany
- Leibniz Institute of Photonic Technology (IPHT), Member of Leibniz Health Technologies, Albert-Einstein-Straße 9, D-07745 Jena, Germany
- Jena University Hospital, Center for Sepsis Control and Care (CSCC), Friedrich-Schiller-University Jena, Am Klinikum 1, 07747 Jena, Germany
| | - Said Mougari
- CIRI, International Center for Infectiology Research, INSERM U1111, CNRS UMR5308, Université de Lyon, Université Claude Bernard Lyon, École Normale Supérieure de Lyon, Lyon, France
| | - Peggy Merida
- Institute of Research in Infectiology of Montpellier (IRIM), University of Montpellier, UMR9004 CNRS Montpellier, France
| | - Aymeric Neyret
- CEMIPAI, University of Montpellier, UMS3725 CNRS Montpellier, France
| | - Jurgen Popp
- Friedrich-Schiller-University Jena, Institute of Physical Chemistry and Abbe Center of Photonics (IPC), Helmholtzweg 4, D-07743 Jena, Germany
- Leibniz Institute of Photonic Technology (IPHT), Member of Leibniz Health Technologies, Albert-Einstein-Straße 9, D-07745 Jena, Germany
- Jena University Hospital, Center for Sepsis Control and Care (CSCC), Friedrich-Schiller-University Jena, Am Klinikum 1, 07747 Jena, Germany
| | - Branka Horvat
- CIRI, International Center for Infectiology Research, INSERM U1111, CNRS UMR5308, Université de Lyon, Université Claude Bernard Lyon, École Normale Supérieure de Lyon, Lyon, France
| | - Delphine Muriaux
- Institute of Research in Infectiology of Montpellier (IRIM), University of Montpellier, UMR9004 CNRS Montpellier, France
- CEMIPAI, University of Montpellier, UMS3725 CNRS Montpellier, France
| | | |
Collapse
|
43
|
Wang J, Qu X, Xu C, Zhang Z, Qi G, Jin Y. Thermoplasmonic Regulation of the Mitochondrial Metabolic State for Promoting Directed Differentiation of Dental Pulp Stem Cells. Anal Chem 2022; 94:9564-9571. [PMID: 35762532 DOI: 10.1021/acs.analchem.2c00288] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Regulating stem cell differentiation in a controllable way is significant for regeneration of tissues. Herein, we report a simple and highly efficient method for accelerating the stem cell differentiation of dental pulp stem cells (DPSCs) based on the synergy of the electromagnetic field and the photothermal (thermoplasmonic) effect of plasmonic nanoparticles. By simple laser irradiation at 50 mW/cm2 (10 min per day, totally for 5 days), the thermoplasmonic effect of Au nanoparticles (AuNPs) can effectively regulate mitochondrial metabolism to induce the increase of mitochondrial membrane potential and further drive energy increase during the DPSC differentiation process. The proposed method can specifically regulate DPSCs' cell differentiation toward odontoblasts, with the differentiation time reduced to only 5 days. Simultaneously, the molecular profiling change of mitochondria within DPSCs during the cell differentiation process is revealed by in situ surface-enhanced Raman spectroscopy. It clearly demonstrates that the expression of hydroxyproline and glutamate gradually increases with prolonging of the differentiation days. The developed method is simple, robust, and rapid for stem cell differentiation of DPSCs, which would be beneficial to tissue engineering and regenerative medicine.
Collapse
Affiliation(s)
- Jiafeng Wang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, P. R. China.,School and Hospital of Stomatology, Jilin University, Changchun 130021, Jilin, P. R. China
| | - Xiaozhang Qu
- The First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Chen Xu
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, P. R. China
| | - Zhimin Zhang
- School and Hospital of Stomatology, Jilin University, Changchun 130021, Jilin, P. R. China
| | - Guohua Qi
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, P. R. China
| | - Yongdong Jin
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, P. R. China
| |
Collapse
|
44
|
Becker L, Fischer F, Fleck JL, Harland N, Herkommer A, Stenzl A, Aicher WK, Schenke-Layland K, Marzi J. Data-Driven Identification of Biomarkers for In Situ Monitoring of Drug Treatment in Bladder Cancer Organoids. Int J Mol Sci 2022; 23:ijms23136956. [PMID: 35805961 PMCID: PMC9266781 DOI: 10.3390/ijms23136956] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/20/2022] [Accepted: 06/21/2022] [Indexed: 02/01/2023] Open
Abstract
Three-dimensional (3D) organoid culture recapitulating patient-specific histopathological and molecular diversity offers great promise for precision medicine in cancer. In this study, we established label-free imaging procedures, including Raman microspectroscopy (RMS) and fluorescence lifetime imaging microscopy (FLIM), for in situ cellular analysis and metabolic monitoring of drug treatment efficacy. Primary tumor and urine specimens were utilized to generate bladder cancer organoids, which were further treated with various concentrations of pharmaceutical agents relevant for the treatment of bladder cancer (i.e., cisplatin, venetoclax). Direct cellular response upon drug treatment was monitored by RMS. Raman spectra of treated and untreated bladder cancer organoids were compared using multivariate data analysis to monitor the impact of drugs on subcellular structures such as nuclei and mitochondria based on shifts and intensity changes of specific molecular vibrations. The effects of different drugs on cell metabolism were assessed by the local autofluorophore environment of NADH and FAD, determined by multiexponential fitting of lifetime decays. Data-driven neural network and data validation analyses (k-means clustering) were performed to retrieve additional and non-biased biomarkers for the classification of drug-specific responsiveness. Together, FLIM and RMS allowed for non-invasive and molecular-sensitive monitoring of tumor-drug interactions, providing the potential to determine and optimize patient-specific treatment efficacy.
Collapse
Affiliation(s)
- Lucas Becker
- Department for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, University of Tuebingen, 72076 Tuebingen, Germany; (L.B.); (K.S.-L.)
- Cluster of Excellence iFIT (EXC 2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tuebingen, 72076 Tuebingen, Germany
| | - Felix Fischer
- Institute of Applied Optics (ITO), University of Stuttgart, 70569 Stuttgart, Germany; (F.F.); (A.H.)
| | - Julia L. Fleck
- Mines Saint-Etienne, CNRS, UMR 6158 LIMOS, Centre CIS, Université Clermont Auvergne, 42270 Saint Jarez-en-Priest, France;
| | - Niklas Harland
- Department of Urology, University of Tuebingen Hospital, 72076 Tuebingen, Germany; (N.H.); (A.S.)
| | - Alois Herkommer
- Institute of Applied Optics (ITO), University of Stuttgart, 70569 Stuttgart, Germany; (F.F.); (A.H.)
| | - Arnulf Stenzl
- Department of Urology, University of Tuebingen Hospital, 72076 Tuebingen, Germany; (N.H.); (A.S.)
| | - Wilhelm K. Aicher
- Center of Medical Research, Department of Urology at UKT, University of Tuebingen, 72076 Tuebingen, Germany;
| | - Katja Schenke-Layland
- Department for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, University of Tuebingen, 72076 Tuebingen, Germany; (L.B.); (K.S.-L.)
- Cluster of Excellence iFIT (EXC 2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tuebingen, 72076 Tuebingen, Germany
- NMI Natural and Medical Sciences Institute at the University of Tueingen, 72770 Reutlingen, Germany
| | - Julia Marzi
- Department for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, University of Tuebingen, 72076 Tuebingen, Germany; (L.B.); (K.S.-L.)
- Cluster of Excellence iFIT (EXC 2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tuebingen, 72076 Tuebingen, Germany
- NMI Natural and Medical Sciences Institute at the University of Tueingen, 72770 Reutlingen, Germany
- Correspondence:
| |
Collapse
|
45
|
Barik AK, M SP, N M, Pai MV, Upadhya R, Pai AK, Lukose J, Chidangil S. A micro-Raman spectroscopy study of inflammatory condition of human cervix: Probing of Tissues and blood plasma samples. Photodiagnosis Photodyn Ther 2022; 39:102948. [PMID: 35661825 DOI: 10.1016/j.pdpdt.2022.102948] [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: 03/08/2022] [Revised: 05/20/2022] [Accepted: 06/01/2022] [Indexed: 10/18/2022]
Abstract
The present study explores the application of the micro-Raman spectroscopy technique to discriminate normal and cervicitis condition from cervical malignancy by analyzing the Raman signatures of tissues and plasma samples of the same subjects. The Raman peaks from tissue samples at 1026 cm-1,1298 cm-1 and 1243 cm-1 are attributed to glycogen, fatty acids and collagen and are found to be reliable signatures capable of identifying cervicitis and normal condition from cervical cancer. The Raman signatures from plasma samples belonging to carbohydrates (578 cm-1), lipids (1059 cm-1) and nucleic acids (1077 cm-1,1341 cm-1 and 1357 cm-1) are quite useful to classify various stages of cervix at par with tissue based diagnosis. The PCA-SVM based classification of the spectral data indicates the potential of Raman spectroscopy based liquid biopsy to rule out false diagnosis of cervicitis as cervical malignancy.
Collapse
Affiliation(s)
- Ajaya Kumar Barik
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, India
| | - Sanoop Pavithran M
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, India
| | - Mithun N
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, India
| | - Muralidhar V Pai
- Department of Obstetrics and Gynecology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Rekha Upadhya
- Department of Obstetrics and Gynecology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Abhilash K Pai
- Department of Data Science & Computer Applications, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
| | - Jijo Lukose
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, India
| | - Santhosh Chidangil
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, India.
| |
Collapse
|
46
|
Shakeel S, Nawaz H, Majeed MI, Rashid N, Javed MR, Tariq A, Majeed B, Sehar A, Murtaza S, Sadaf N, Rimsha G, Amin I. Surface-enhanced Raman spectroscopic analysis of the centrifugally filtered blood serum samples of the hepatitis C patients. Photodiagnosis Photodyn Ther 2022; 39:102949. [PMID: 35661826 DOI: 10.1016/j.pdpdt.2022.102949] [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: 03/11/2022] [Revised: 05/12/2022] [Accepted: 06/01/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Previously Raman spectroscopy technique is a use to analyze non-invasive disease related to body fluids. OBJECTIVES For the qualitative and quantitative analysis of HCV serum samples surface-enhanced Raman spectroscopy (SERS) based method is developed. METHOD Surface-enhanced Raman spectroscopy (SERS) technique is employed for analysis of filtrate portions of blood serum samples of hepatitis C virus (HCV) infected patients and healthy ones by using 50 kDa centrifugal filter device. The filtrate portions of the serum obtained in this way contain proteins smaller than 50 kDa and removal of bigger size protein which allows to acquire SERS spectral features of smaller proteins more effectively which are probably associated with Hepatitis C infection. Moreover, SERS spectral features of the filtrates of different level of viral load including low, medium and high viral loads are compared with SERS spectral features of the filtrate portions of healthy/control serum samples. SERS spectral data sets of different samples are further analyzed by using multivariate data analysis techniques such as principal component analysis (PCA) and partial least square regression (PLSR). Some SERS spectral features are solely observed in the filtrate portions of the serum samples of hepatitis C and their intensities are increased as the level of viral load increases and might be used for HCV diagnosis. RESULTS PCA was found helpful for differentiation of SERS spectral data sets of filtrate portions of the serum samples of hepatitis C and healthy persons. The PLSR model helped for the quantification of viral loads in the unknown serum samples with 99 % accuracy.
Collapse
Affiliation(s)
- Samra Shakeel
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
| | - Muhammad Rizwan Javed
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad 38000, Pakistan
| | - Ayesha Tariq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Beenish Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Aafia Sehar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Sania Murtaza
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Nimra Sadaf
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Gull Rimsha
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Imran Amin
- PCR Laboratory, PINUM Hospital, Faisalabad 38000, Pakistan
| |
Collapse
|
47
|
Takemura M, Mochizuki K, Harada Y, Okajima A, Hayakawa M, Dai P, Itoh Y, Tanaka H. Label-free Assessment of the Nascent State of Rat Non-alcoholic Fatty Liver Disease Using Spontaneous Raman Microscopy. Acta Histochem Cytochem 2022; 55:57-66. [PMID: 35509867 PMCID: PMC9043435 DOI: 10.1267/ahc.22-00013] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 02/08/2022] [Indexed: 11/22/2022] Open
Abstract
Spontaneous Raman microscopy, which can detect molecular vibrations in cells and tissues, could be a useful tool for the label-free assessment of non-alcoholic fatty liver disease (NAFLD). However, it is unclear whether it can be used to evaluate the nascent state of NAFLD. To address this, we analyzed the Raman spectra of rat liver tissues in the nascent state of NAFLD upon excitation at 532 nm. Raman and histochemical analyses were performed of liver tissues from rats fed a high-fat, high-cholesterol diet (HFHCD). Raman microscopic imaging analysis of formalin-fixed thin tissue slices showed hepatic steatosis, as revealed by the Raman band at 2,854 cm-1, whereas lipid droplets were not detectable by hematoxylin-eosin staining of images until 3 days after feeding a HFHCD. Raman signals of retinol at 1,588 cm-1 emitted from hepatic stellate cells were distributed alongside hepatic cords; the retinol content rapidly decreased after feeding a HFHCD, whereas hepatic lipid content increased inversely. Raman microscopic analysis of the surface of fresh ex vivo livers enabled early detection of lipid accumulation after a 1-day feeding a HFHCD. In conclusion, spontaneous Raman microscopy can be applied to the label-free evaluation of the nascent state of NAFLD liver tissues.
Collapse
Affiliation(s)
- Masashi Takemura
- Department of Pathology and Cell Regulation, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho Kamigyo-ku, Kyoto 602–8566, Japan
- Department of Molecular Gatroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho Kamigyo-ku, Kyoto 602–8566, Japan
| | - Kentaro Mochizuki
- Department of Pathology and Cell Regulation, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho Kamigyo-ku, Kyoto 602–8566, Japan
| | - Yoshinori Harada
- Department of Pathology and Cell Regulation, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho Kamigyo-ku, Kyoto 602–8566, Japan
| | - Akira Okajima
- Department of Pathology and Cell Regulation, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho Kamigyo-ku, Kyoto 602–8566, Japan
- Department of Molecular Gatroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho Kamigyo-ku, Kyoto 602–8566, Japan
| | - Michiyo Hayakawa
- Department of Pathology and Cell Regulation, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho Kamigyo-ku, Kyoto 602–8566, Japan
| | - Ping Dai
- Department of Cellular Regenerative Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho Kamigyo-ku, Kyoto 602–8566, Japan
| | - Yoshito Itoh
- Department of Molecular Gatroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho Kamigyo-ku, Kyoto 602–8566, Japan
| | - Hideo Tanaka
- Department of Pathology and Cell Regulation, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho Kamigyo-ku, Kyoto 602–8566, Japan
| |
Collapse
|
48
|
Holl M, Rasch ML, Becker L, Keller AL, Schultze-Rhonhof L, Ruoff F, Templin M, Keller S, Neis F, Keßler F, Andress J, Bachmann C, Krämer B, Schenke-Layland K, Brucker SY, Marzi J, Weiss M. Cell Type-Specific Anti-Adhesion Properties of Peritoneal Cell Treatment with Plasma-Activated Media (PAM). Biomedicines 2022; 10:biomedicines10040927. [PMID: 35453677 PMCID: PMC9032174 DOI: 10.3390/biomedicines10040927] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/08/2022] [Accepted: 04/12/2022] [Indexed: 11/16/2022] Open
Abstract
Postoperative abdominal adhesions are responsible for serious clinical disorders. Administration of plasma-activated media (PAM) to cell type-specific modulated proliferation and protein biosynthesis is a promising therapeutic strategy to prevent pathological cell responses in the context of wound healing disorders. We analyzed PAM as a therapeutic option based on cell type-specific anti-adhesive responses. Primary human peritoneal fibroblasts and mesothelial cells were isolated, characterized and exposed to different PAM dosages. Cell type-specific PAM effects on different cell components were identified by contact- and marker-independent Raman imaging, followed by thorough validation by specific molecular biological methods. The investigation revealed cell type-specific molecular responses after PAM treatment, including significant cell growth retardation in peritoneal fibroblasts due to transient DNA damage, cell cycle arrest and apoptosis. We identified a therapeutic dose window wherein specifically pro-adhesive peritoneal fibroblasts were targeted, whereas peritoneal mesothelial cells retained their anti-adhesive potential of epithelial wound closure. Finally, we demonstrate that PAM treatment of peritoneal fibroblasts reduced the expression and secretion of pro-adhesive cytokines and extracellular matrix proteins. Altogether, we provide insights into biochemical PAM mechanisms which lead to cell type-specific pro-therapeutic cell responses. This may open the door for the prevention of pro-adhesive clinical disorders.
Collapse
Affiliation(s)
- Myriam Holl
- Department of Women’s Health Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; (M.H.); (M.-L.R.); (L.S.-R.); (F.N.); (F.K.); (J.A.); (C.B.); (B.K.); (S.Y.B.)
- NMI Natural and Medical Sciences Institute, University Tübingen, 72770 Reutlingen, Germany; (A.-L.K.); (F.R.); (M.T.); (S.K.); (K.S.-L.); (J.M.)
| | - Marie-Lena Rasch
- Department of Women’s Health Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; (M.H.); (M.-L.R.); (L.S.-R.); (F.N.); (F.K.); (J.A.); (C.B.); (B.K.); (S.Y.B.)
- NMI Natural and Medical Sciences Institute, University Tübingen, 72770 Reutlingen, Germany; (A.-L.K.); (F.R.); (M.T.); (S.K.); (K.S.-L.); (J.M.)
| | - Lucas Becker
- Institute of Biomedical Engineering, Eberhard Karls University Tübingen, 72076 Tübingen, Germany;
- Cluster of Excellence iFIT (EXC 2180) “Image-Guided and Functionally Instructed Tumor Therapies”, Eberhard Karls University, 72076 Tübingen, Germany
| | - Anna-Lena Keller
- NMI Natural and Medical Sciences Institute, University Tübingen, 72770 Reutlingen, Germany; (A.-L.K.); (F.R.); (M.T.); (S.K.); (K.S.-L.); (J.M.)
| | - Laura Schultze-Rhonhof
- Department of Women’s Health Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; (M.H.); (M.-L.R.); (L.S.-R.); (F.N.); (F.K.); (J.A.); (C.B.); (B.K.); (S.Y.B.)
- NMI Natural and Medical Sciences Institute, University Tübingen, 72770 Reutlingen, Germany; (A.-L.K.); (F.R.); (M.T.); (S.K.); (K.S.-L.); (J.M.)
| | - Felix Ruoff
- NMI Natural and Medical Sciences Institute, University Tübingen, 72770 Reutlingen, Germany; (A.-L.K.); (F.R.); (M.T.); (S.K.); (K.S.-L.); (J.M.)
| | - Markus Templin
- NMI Natural and Medical Sciences Institute, University Tübingen, 72770 Reutlingen, Germany; (A.-L.K.); (F.R.); (M.T.); (S.K.); (K.S.-L.); (J.M.)
| | - Silke Keller
- NMI Natural and Medical Sciences Institute, University Tübingen, 72770 Reutlingen, Germany; (A.-L.K.); (F.R.); (M.T.); (S.K.); (K.S.-L.); (J.M.)
| | - Felix Neis
- Department of Women’s Health Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; (M.H.); (M.-L.R.); (L.S.-R.); (F.N.); (F.K.); (J.A.); (C.B.); (B.K.); (S.Y.B.)
| | - Franziska Keßler
- Department of Women’s Health Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; (M.H.); (M.-L.R.); (L.S.-R.); (F.N.); (F.K.); (J.A.); (C.B.); (B.K.); (S.Y.B.)
| | - Jürgen Andress
- Department of Women’s Health Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; (M.H.); (M.-L.R.); (L.S.-R.); (F.N.); (F.K.); (J.A.); (C.B.); (B.K.); (S.Y.B.)
| | - Cornelia Bachmann
- Department of Women’s Health Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; (M.H.); (M.-L.R.); (L.S.-R.); (F.N.); (F.K.); (J.A.); (C.B.); (B.K.); (S.Y.B.)
| | - Bernhard Krämer
- Department of Women’s Health Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; (M.H.); (M.-L.R.); (L.S.-R.); (F.N.); (F.K.); (J.A.); (C.B.); (B.K.); (S.Y.B.)
| | - Katja Schenke-Layland
- NMI Natural and Medical Sciences Institute, University Tübingen, 72770 Reutlingen, Germany; (A.-L.K.); (F.R.); (M.T.); (S.K.); (K.S.-L.); (J.M.)
- Institute of Biomedical Engineering, Eberhard Karls University Tübingen, 72076 Tübingen, Germany;
- Cluster of Excellence iFIT (EXC 2180) “Image-Guided and Functionally Instructed Tumor Therapies”, Eberhard Karls University, 72076 Tübingen, Germany
- Department of Medicine/Cardiology, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA
| | - Sara Y. Brucker
- Department of Women’s Health Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; (M.H.); (M.-L.R.); (L.S.-R.); (F.N.); (F.K.); (J.A.); (C.B.); (B.K.); (S.Y.B.)
| | - Julia Marzi
- NMI Natural and Medical Sciences Institute, University Tübingen, 72770 Reutlingen, Germany; (A.-L.K.); (F.R.); (M.T.); (S.K.); (K.S.-L.); (J.M.)
- Institute of Biomedical Engineering, Eberhard Karls University Tübingen, 72076 Tübingen, Germany;
- Cluster of Excellence iFIT (EXC 2180) “Image-Guided and Functionally Instructed Tumor Therapies”, Eberhard Karls University, 72076 Tübingen, Germany
| | - Martin Weiss
- Department of Women’s Health Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; (M.H.); (M.-L.R.); (L.S.-R.); (F.N.); (F.K.); (J.A.); (C.B.); (B.K.); (S.Y.B.)
- NMI Natural and Medical Sciences Institute, University Tübingen, 72770 Reutlingen, Germany; (A.-L.K.); (F.R.); (M.T.); (S.K.); (K.S.-L.); (J.M.)
- Correspondence:
| |
Collapse
|
49
|
Raman spectroscopy combined with comprehensive gas chromatography for label-free characterization of plasma-derived extracellular vesicle subpopulations. Anal Biochem 2022; 647:114672. [PMID: 35395223 DOI: 10.1016/j.ab.2022.114672] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 03/12/2022] [Accepted: 03/22/2022] [Indexed: 11/22/2022]
Abstract
Raman spectroscopy together with comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GCxGC-TOFMS) was employed to characterize exomere- (<50 nm) and exosome-sized (50-80 nm) EVs isolated from human plasma by the novel on-line immunoaffinity chromatography - asymmetric flow field-flow fractionation method. CD9+, CD63+, and CD81+ EVs were selected to represent general EV subpopulations secreted into plasma, while CD61+EVs represented the specific EV subset derived from platelets. Raman spectroscopy could distinguish EVs from non-EV particles, including apolipoprotein B-100-containing lipoproteins, signifying its potential in EV purity assessment. Moreover, platelet-derived (CD61+) EVs of both exomere and exosome sizes were discriminated from other EV subpopulations due to different biochemical compositions. Further investigations demonstrated composition differences between exomere- and exosome-sized EVs, confirming the applicability of Raman spectroscopy in distinguishing EVs, not only from different origins but also sizes. In addition, fatty acids that act as building blocks for lipids and membranes in EVs were studied by GCxGC-TOF-MS. The results achieved highlighted differences in EV fatty acid compositions in both esterified (membrane lipids) and non-esterified (free fatty acids) fractions, indicating possible differences in membrane structures, biological functions, and roles in cell-to-cell communications of EV subpopulations.
Collapse
|
50
|
Beton K, Wysocki P, Brozek-Pluska B. Mevastatin in colon cancer by spectroscopic and microscopic methods - Raman imaging and AFM studies. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 270:120726. [PMID: 34979441 DOI: 10.1016/j.saa.2021.120726] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 11/23/2021] [Accepted: 12/05/2021] [Indexed: 06/14/2023]
Abstract
One of the most important areas of medical science is oncology, which is responsible for both the diagnostics and treatment of cancer diseases. Simultaneously one of the main challenges of oncology is the development of modern drugs effective in the fight against cancer. Statins are a group of biologically active compounds with the activity of 3-hydroxy-3-methyl glutaryl-CoA reductase inhibitors, an enzyme catalyzing the reduction of 3-hydroxy-3-methyl-glutaryl-CoA (HMG-CoA) to mevalonic acid. By acting on this enzyme, statins inhibit the endogenous cholesterol synthesis which in turn causes the reduction of its systemic concentrations. However, in vitro and in vivo studies confirm also the cytostatic and cytotoxic effects of statins against various types of cancer cells including colon cancer. In the presented studies the influence of mevastatin on cancerous colon cells CaCo-2 by Raman spectroscopy and imaging is discussed and compared with biochemistry characteristic for normal colon cells CCD-18Co. Based on vibrational features of colon cells: normal cells CCD-18Co, cancerous cells CaCo-2 and cancerous cells CaCo-2 treated by mevastatin in different concentrations and incubation times we have confirmed the influence of this statin on biochemistry composition of cancerous human colon cells. Moreover, the spectroscopic results for colon normal cells and cancerous cells based on data typical for nucleic acids, proteins, lipids have been compared. The cytotoxisity of mevastatin was determined by using XTT tests.
Collapse
Affiliation(s)
- K Beton
- Lodz University of Technology, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy, Wroblewskiego 15, 93-590 Lodz, Poland.
| | - P Wysocki
- Lodz University of Technology, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy, Wroblewskiego 15, 93-590 Lodz, Poland
| | - B Brozek-Pluska
- Lodz University of Technology, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy, Wroblewskiego 15, 93-590 Lodz, Poland.
| |
Collapse
|