Advancing Vibrational Spectroscopy for Cellular and Sub Cellular Analysis: Raman Spectroscopy as an in Vitro Chemotherapeutic Screeening and Assessment Protocol

Vibrational spectroscopy, including Raman micro-spectroscopy, has attracted considerable attention over the last few years, as a powerful, non-invasive tool for clinical applications, especially in cancer diagnosis, in vivo and ex vivo. As a molecular fingerprinting technique with optical resolution, Raman micro-spectroscopy is able to monitor biochemical processes, drug uptake, efficacy and mode of action and mechanisms of interaction of chemotherapeutic drugs at a subcellular level. In vitro applications may be more strategically achievable, and can help guide drug design and discovery, and eventually evaluate To this end, different lung cell lines were used and Raman micro-spectroscopy was coupled to valuable other techniques such as Confocal Laser Scanning Fluorescence Microscopy, Flow Cytometry and Atomic Force Microscopy, in order to explore itssignatures of drug resistance, towards potential applications in personalised therapy and as a companion diagnostic tool. However, to evaluate accurately the potential of Raman micro-spectroscopy for such applications, it is essential to optimise measurement and data processing protocols associated with subcellular analysis in order to extract all valuable spectroscopic information and to demonstrate the ability of this technique to distinguish not only between normal and cancer cells but also between cancer cell lines before exploring its potential as a chemotherapeutic screening and assessment protocol using commercially available chemotherapeutic agents. To be considered as an in vitro companion diagnostics technique to screen for personalised therapies, Raman micro-spectroscopy should be able to monitor subcellular interaction with chemotherapeutic drugs and to characterise cellular resistance. To this end, different lung cell lines were used and Raman micro-spectroscopy was coupled to valuable other techniques such as Confocal Laser Scanning Fluorescence Microscopy, Flow Cytometry and Atomic Force Microscopy, in order to explore its potential to elucidate drug pathways, chemical binding signature, mechanisms of action and efficacy and physiological cellular responses to the drug exposure. As chemotherapeutic agents, Doxorubicin and Actinomycin D, both anthracyclines widely used in clinics especially for lung cancer were employed as pilot molecules. Multivariate data analysis, consisting of Principal Component Analysis, Linear discriminant and Partial Least Square Regression analysis were employed to deeply investigate the spectral features related to drug effects and cellular responses. Investigations demonstrate the ability of Raman micro-spectroscopy not only to track the subcellular accumulation of the drug as function of time but also to identify its mechanism of action, the subsequent cellular response and to differentiate cellular resistance. Moreover, despite the fact that different cell lines show different chemotherapeutic resistance, the chemical binding signature appears to be identical from anti-cancer drugs which belongs to same chemotherapeutic group with implications of different mechanisms of action function of time and dose. In human lung cancer cell lines which show different cytotoxic sensitivities to the drugs, different spectroscoic response profiles to the drugs are observed, which can be potentially linked to cellular defence mechanisms, such as the expression of anti-apoptotic proteins, and DNA repair

Spectroscopic studies of anthracyclines: Structural characterization and in vitro tracking

A broad spectroscopic characterization, using ultraviolet-visible (UV-vis) and Fourier transform infrared absorption as well as Raman scattering, of two commonly used anthracyclines antibiotics (DOX) daunorubicin (DNR), their epimers (EDOX, EDNR) and ten selected analogs is presented. The paper serves as a comprehensive spectral library of UV-vis, IR and Raman spectra of anthracyclines in the solid state and in solution. The particular advantage of Raman spectroscopy for the measurement and analysis of individual antibiotics is demonstrated. Raman spectroscopy can be used to monitor the in vitro uptake and distribution of the drug in cells, using both 488 nm and 785 nm as source wavelengths, with submicrometer spatial resolution, although the cellular accumulation of the drug is different in each case. The high information content of Raman spectra allows studies of the drug-cell interactions, and so the method seems very suitable for monitoring drug uptake and mechanisms of interaction with cellular compartments at the subcellular level

Combining Pharmacokinetics and Vibrational Spectroscopy: MCR-ALS Hard-and-Soft Modelling of Drug Uptake In Vitro Using Tailored Kinetic Constraints

Raman microspectroscopy is a label-free technique which is very suited for the investigation of pharmacokinetics of cellular uptake, mechanisms of interaction, and efficacies of drugs in vitro. However, the complexity of the spectra makes the identification of spectral patterns associated with the drug and subsequent cellular responses difficult. Indeed, multivariate methods that relate spectral features to the inoculation time do not normally take into account the kinetics involved, and important theoretical information which could assist in the elucidation of the relevant spectral signatures is excluded. Here, we propose the integration of kinetic equations in the modelling of drug uptake and subsequent cellular responses using Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) and tailored kinetic constraints, based on a system of ordinary differential equations. Advantages of and challenges to the methodology were evaluated using simulated Raman spectral data sets and real Raman spectra acquired from A549 and Calu-1 human lung cells inoculated with doxorubicin, in vitro. The results suggest a dependency of the outcome on the system of equations used, and the importance of the temporal resolution of the data set to enable the use of complex equations. Nevertheless, the use of tailored kinetic constraints during MCR-ALS allowed a more comprehensive modelling of the system, enabling the elucidation of not only the time-dependent concentration profiles and spectral features of the drug binding and cellular responses, but also an accurate computation of the kinetic constants

Evaluation of cytotoxicity profile and intracellular localisation of doxorubicin-loaded chitosan nanoparticles

In the emerging field of nanomedicine, targeted delivery of nanoparticle encapsulated active pharmaceutical ingredients (API) is seen as a potential significant development, promising improved pharmacokinetics and reduced side effects. In this context, understanding the cellular uptake of the nanoparticles and subsequent subcellular distribution of the API is of critical importance. Doxorubicin (DOX) was encapsulated within chitosan nanoparticles to investigate its intracellular delivery in A549 cells in vitro. Unloaded (CS-TPP) and doxorubicin-loaded (DOX-CS-TPP) chitosan nanoparticles were characterised for size (473±41 nm), polydispersity index (0.3±0.2), zeta potential (34±4 mV), drug content (76±7 µM) and encapsulation efficiency (95±1%). The cytotoxic response to DOX-CS-TPP was substantially stronger than to CS-TPP, although weaker than that of the equivalent free DOX. Fluorescence microscopy showed a dissimilar pattern of distribution of DOX within the cell, being predominantly localised in the nucleus for free form and in cytoplasm for DOX-CS-TPP. Confocal microscopy demonstrated endosomal localisation of DOX-CS-TPP. Numerical simulations, based on a rate equation model to describe the uptake and distribution of the free DOX, nanoparticles and DOX loaded nanoparticles within the cells, and the subsequent dose and time dependent cytotoxic responses, were used to further elucidate the API distribution processes. The study demonstrates that encapsulation of the API in nanoparticles results in a delayed release of the drug to the cell, resulting in a delayed cellular response. This work further demonstrates the potential of mathematical modelling in combination with intracellular imaging techniques to visualise and further understand the intracellular mechanisms of action of external agents, both APIs and nanoparticles in cells

Advancing Raman Microspectroscopy for Cellular and Subcellular Analysis: Towards in Vitro High Content Spectralomic Analysis

In the confocal mode, Raman microspectroscopy can profile the biochemical content of biological cells at a subcellular level, and any changes to it by exogenous agents, such as therapeutic drugs or toxicants. As an exploration of the potential of the technique as a high content, label free analysis technique, this report reviews work to monitor the spectroscopic signatures associated with the uptake and response pathways of commercial chemotherapeutic agents and polymeric nanoparticles by human lung cells. It is demonstrated that the signatures are reproducible and characteristic of the cellular event, and can be used, for example, to identify the mode of action of the agent as well as the subsequent cell death pathway, and even mechanisms of cellular resistance. Data mining approaches are discussed and a spectralomics approach is proposed

Cellular discrimination using in vitro Raman micro spectroscopy: the role of the nucleolus.

International audienceRaman micro spectroscopy has attracted considerable attention over the last few years to explore its possible clinical applications as a non-invasive powerful label-free in vitro screening tool in cancer diagnosis and monitoring, subcellular analysis of biochemical processes, drug uptake, mode of action and mechanisms of interaction as well as toxicity of, for example, chemotherapeutic agents. However, in order to evaluate accurately the potential of Raman micro spectroscopy for such applications it is essential to optimise measurement and data processing protocols associated with subcellular analysis. To this end, in vitro differentiation of cell lines is a basic proof of concept for the potential of the technique, and although many studies have indicated successful differentiation based on Raman micro spectroscopy, it is important, as the measurement and processing techniques are improved, to establish the biochemical and subcellular basis of that discrimination. In this study, Raman micro spectroscopy is used to compare and differentiate normal and cancer cells from human lung origin, A549 adenocarcinoma cell line, Calu-1 epidermoid non-small-cell and BEAS-2B normal immortalized bronchial epithelium cell line. Spectra were taken from the three subcellular compartments, cytoplasm, nucleus and nucleolus and Principal Components Analysis was used to compare the spectral profiles between the cell lines and, coupled to Linear Discriminant Analysis, to explore the optimum sensitivity and specificity of discrimination. To support the analysis, Raman micro spectroscopy was coupled with Flow Cytometry, Confocal Laser Scanning Microscopy and Atomic Force Microscopy. While all subcellular regions can be employed to differentiate the normal and cancer cell lines, optimum discrimination sensitivity and specificity is achieved using the spectra from the nucleolar region alone. Notably, only the nucleolar spectral profiles differentiate the two cancer cell lines. The results point to the importance of the nucleolar regions in diagnostic applications of Raman microscopy as well as further applications in subcellular analysis of cytological processes

Monitoring doxorubicin cellular uptake and trafficking using in vitro Raman microspectroscopy: short and long time exposure effects on lung cancer cell lines

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An In Vitro Study of the Interaction of the Chemotherapeutic Drug Actinomycin D with lung Cancer Cell Lines Using Raman Micro-Spectroscopy

The applications of Raman micro-spectroscopy have been extended in recent years into the field of clinical medicine, and specifically in cancer research, as anon-invasive diagnostic method in vivo and ex vivo, and the field of pharmaceutical development as a label free predictive technique for new drug mechanisms of action in vitro. To further illustrate its potential for such applications, it is important to establish its capability to fingerprint drug mechanisms of action and different cellular reactions. In this study, cytotoxicity assays were employed to establish the toxicity profiles for 48 and 72 hrs exposure of lung cancer cell lines, A549 and Calu-1, after exposure to Actinomycin D (ACT) and Raman micro-spectroscopy was used to track its mechanism of action at subcellular level and subsequent cellular responses. Multivariate data analysis was used to elucidate the spectroscopic signatures associated with ACT chemical binding and cellular resistances. Results show that the ACT uptake and mechanism of action are similar in the two cell lines, while A549 cells exhibits spectral signatures of resistance to apoptosis related to its higher chemoresistance to the anticancer drug ACT. The observations are discussed in comparison to previous studies of the similar anthracyclic chemotherapeutic agent Doxorubicin

Raman micro spectroscopy for in vitro drug screening: subcellular localisation and interactions of doxorubicin

International audienceVibrational spectroscopy, including Raman micro spectroscopy, has been widely used over the last few years to explore potential biomedical applications. Indeed, Raman micro spectroscopy has been demonstrated to be a powerful non-invasive tool in cancer diagnosis and monitoring. In confocal microscopic mode, the technique is also a molecularly specific analytical tool with optical resolution which has potential applications in subcellular analysis of biochemical processes, and therefore as an in vitro screening tool of the efficacy and mode of action of, for example, chemotherapeutic agents. In order to demonstrate and explore the potential in this field, established, model chemotherapeutic agents can be valuable. In this study paper, Raman micro spectroscopy coupled with confocal microscopy were used for the localization and tracking of the commercially available drug, doxorubicin (DOX), in the intracellular environment of the lung cancer cell line, A549. Cytotoxicity assays were employed to establish clinically relevant drug doses for 24 h exposure, and Confocal Laser Scanning Fluorescence Microscopy was conducted in parallel with Raman micro spectroscopy profiling to confirm the drug internalisation and localisation. Multivariate statistical analysis, consisting of PCA (principal components analysis) was used to highlight doxorubicin interaction with cancer cells and spectral variations due to its effects before and after DOX spectral features subtraction from nuclear and nucleolar spectra, were compared to non-exposed control spectra. Results show that Raman micro spectroscopy is not only able to detect doxorubicin inside cells and profile its specific subcellular localisation, but, it is also capable of elucidating the local biomolecular changes elicited by the drug, differentiating the responses in different sub cellular regions. Further analysis clearly demonstrates the early apoptotic effect in the nuclear regions and the initial responses of cells to this death process, demonstrating the potential of the technique to monitor the mechanisms of action and response on a molecular level, with subcellular resolution

Combining Pharmacokinetics and Vibrational Spectroscopy: MCR-ALS Hard-and-Soft Modelling of Drug Uptake In Vitro Using Tailored Kinetic Constraints

Raman microspectroscopy is a label-free technique which is very suited for the investigation of pharmacokinetics of cellular uptake, mechanisms of interaction, and efficacies of drugs in vitro. However, the complexity of the spectra makes the identification of spectral patterns associated with the drug and subsequent cellular responses difficult. Indeed, multivariate methods that relate spectral features to the inoculation time do not normally take into account the kinetics involved, and important theoretical information which could assist in the elucidation of the relevant spectral signatures is excluded. Here, we propose the integration of kinetic equations in the modelling of drug uptake and subsequent cellular responses using Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) and tailored kinetic constraints, based on a system of ordinary differential equations. Advantages of and challenges to the methodology were evaluated using simulated Raman spectral data sets and real Raman spectra acquired from A549 and Calu-1 human lung cells inoculated with doxorubicin, in vitro. The results suggest a dependency of the outcome on the system of equations used, and the importance of the temporal resolution of the data set to enable the use of complex equations. Nevertheless, the use of tailored kinetic constraints during MCR-ALS allowed a more comprehensive modelling of the system, enabling the elucidation of not only the time-dependent concentration profiles and spectral features of the drug binding and cellular responses, but also an accurate computation of the kinetic constants.This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 796287. D.P.-G. acknowledges the financial support of the 2019 Ramón y Cajal (RYC) Contract Aids (RYC2019-026556-I) funded by MCIN/AEI/10.13039/501100011033 y FSE “El FSE invierte en tu futuro’’ and Grant RPID2020-119326RA-I0 funded by MCIN/AEI/10.13039/501100011033. GQ acknowledges support from the Agencia Estatal de Investigacíon (AEI) and the Fondo Europeo de Desarrollo Regional (FEDER) (CTQ2016-79561-P). Experimental work was carried out under Science Foundation Ireland Principle Investigator Award 11/PI/1108.Peer reviewe