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Jarczewska K, Kopeć M, Abramczyk H, Surmacki JM. Monitoring alterations of all- trans-retinal in human brain cancer cells by label-free confocal Raman imaging: regulation of the redox status of cytochrome c. RSC Adv 2024; 14:20982-20991. [PMID: 38962093 PMCID: PMC11220488 DOI: 10.1039/d4ra01542h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 06/26/2024] [Indexed: 07/05/2024] Open
Abstract
This article has shown the impact of all-trans-retinal on human brain cancer, which is apparent in the shifts in the redox status of cytochrome c in a single cell. The connection between cytochrome c expression and its role in cancer development remains relatively unexplored. To assess this, we employed Raman spectroscopy and imaging to determine the redox state of the iron ion in cytochrome c across different cellular locations, including mitochondria, cytoplasm, lipid droplets, and the endoplasmic reticulum within human brain cancer cells. We have analyzed normal human astrocytes (NHA) and two brain cancer cell lines (astrocytoma - CRL-1718 and glioblastoma - U-87 MG) without and supplemented with all-trans-retinal. Our results confirmed that human brain cancer cells demonstrate varying redox status compared to normal cells based on the established correlation between the intensity of the cytochrome c Raman band at 1583 cm-1 and the malignancy grade of brain cancer cells. Our research unveiled that all-trans-retinal induces remarkable changes in the mitochondrial functional activity (redox status) of cancer cells, which were measured by confocal Raman spectroscopy and imaging.
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Affiliation(s)
- Karolina Jarczewska
- Lodz University of Technology, Faculty of Chemistry, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy Wroblewskiego 15 93-590 Lodz Poland +48 426313188
| | - Monika Kopeć
- Lodz University of Technology, Faculty of Chemistry, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy Wroblewskiego 15 93-590 Lodz Poland +48 426313188
| | - Halina Abramczyk
- Lodz University of Technology, Faculty of Chemistry, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy Wroblewskiego 15 93-590 Lodz Poland +48 426313188
| | - Jakub Maciej Surmacki
- Lodz University of Technology, Faculty of Chemistry, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy Wroblewskiego 15 93-590 Lodz Poland +48 426313188
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Kamp M, Surmacki J, Segarra Mondejar M, Young T, Chrabaszcz K, Joud F, Zecchini V, Speed A, Frezza C, Bohndiek SE. Raman micro-spectroscopy reveals the spatial distribution of fumarate in cells and tissues. Nat Commun 2024; 15:5386. [PMID: 38918386 PMCID: PMC11199670 DOI: 10.1038/s41467-024-49403-w] [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: 07/20/2023] [Accepted: 06/04/2024] [Indexed: 06/27/2024] Open
Abstract
Aberrantly accumulated metabolites elicit intra- and inter-cellular pro-oncogenic cascades, yet current measurement methods require sample perturbation/disruption and lack spatio-temporal resolution, limiting our ability to fully characterize their function and distribution. Here, we show that Raman spectroscopy (RS) can directly detect fumarate in living cells in vivo and animal tissues ex vivo, and that RS can distinguish between Fumarate hydratase (Fh1)-deficient and Fh1-proficient cells based on fumarate concentration. Moreover, RS reveals the spatial compartmentalization of fumarate within cellular organelles in Fh1-deficient cells: consistent with disruptive methods, we observe the highest fumarate concentration (37 ± 19 mM) in mitochondria, where the TCA cycle operates, followed by the cytoplasm (24 ± 13 mM) and then the nucleus (9 ± 6 mM). Finally, we apply RS to tissues from an inducible mouse model of FH loss in the kidney, demonstrating RS can classify FH status. These results suggest RS could be adopted as a valuable tool for small molecule metabolic imaging, enabling in situ non-destructive evaluation of fumarate compartmentalization.
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Affiliation(s)
- Marlous Kamp
- Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, CB2 0RE, UK
- Department of Chemistry, Utrecht University, 3584 CH, Utrecht, The Netherlands
| | - Jakub Surmacki
- Lodz University of Technology, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy, Wroblewskiego 15, 93-590, Lodz, Poland
| | - Marc Segarra Mondejar
- Hutchison/MRC Cancer Unit, University of Cambridge, Biomedical Campus, Cambridge, CB2 0XZ, UK
- CECAD, Joseph-Stelzmann-Straße 26, 50931, Cologne, Germany
| | - Tim Young
- Hutchison/MRC Cancer Unit, University of Cambridge, Biomedical Campus, Cambridge, CB2 0XZ, UK
| | - Karolina Chrabaszcz
- Institute of Nuclear Physics, Polish Academy of Sciences, Department of Experimental Physics of Complex Systems, Radzikowskiego 152, 31-342, Krakow, Poland
| | - Fadwa Joud
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, CB2 0RE, UK
| | - Vincent Zecchini
- Hutchison/MRC Cancer Unit, University of Cambridge, Biomedical Campus, Cambridge, CB2 0XZ, UK
| | - Alyson Speed
- Hutchison/MRC Cancer Unit, University of Cambridge, Biomedical Campus, Cambridge, CB2 0XZ, UK
| | - Christian Frezza
- Hutchison/MRC Cancer Unit, University of Cambridge, Biomedical Campus, Cambridge, CB2 0XZ, UK.
- CECAD, Joseph-Stelzmann-Straße 26, 50931, Cologne, Germany.
| | - Sarah E Bohndiek
- Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK.
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, CB2 0RE, UK.
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Redolfi-Bristol D, Yamamoto K, Marin E, Zhu W, Mazda O, Riello P, Pezzotti G. Exploring the cellular antioxidant mechanism against cytotoxic silver nanoparticles: a Raman spectroscopic analysis. NANOSCALE 2024; 16:9985-9997. [PMID: 38695726 DOI: 10.1039/d4nr00462k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2024]
Abstract
Silver nanoparticles (AgNPs) hold great promise for several different applications, from colorimetric sensors to antimicrobial agents. Despite their widespread incorporation in consumer products, limited understanding of the detrimental effects and cellular antioxidant responses associated with AgNPs at sublethal concentrations persists, raising concerns for human and ecological well-being. To address this gap, we synthesized AgNPs of varying sizes and evaluated their cytotoxicity against human dermal fibroblasts (HDF). Our study revealed that toxicity of AgNPs is a time- and size-dependent process, even at low exposure levels. AgNPs exhibited low short-term cytotoxicity but high long-term impact, particularly for the smallest NPs tested. Raman microspectroscopy was employed for in-time investigations of intracellular molecular variations during the first 24 h of exposure to AgNPs of 35 nm. Subtle protein and lipid degradations were detected, but no discernible damage to the DNA was observed. Signals associated with antioxidant proteins, such as superoxide dismutase (SOD), catalase (CAT) and metallothioneins (MTs), increased over time, reflecting the heightened production of these defense agents. Fluorescence microscopy further confirmed the efficacy of overexpressed antioxidant proteins in mitigating ROS formation during short-term exposure to AgNPs. This work provides valuable insights into the molecular changes and remedial strategies within the cellular environment, utilizing Raman microspectroscopy as an advanced analytical technique. These findings offer a novel perspective on the cytotoxicity mechanism of AgNPs, contributing to the development of safer materials and advice on regulatory guidelines for their biomedical applications.
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Affiliation(s)
- Davide Redolfi-Bristol
- Ceramic Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, 606-8585, Kyoto, Japan.
- Department of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
- Dipartimento di Scienze Molecolari e Nanosistemi, Università Ca' Foscari di Venezia, Via Torino 155, 30172 Venezia, Italy
| | - Kenta Yamamoto
- Department of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Elia Marin
- Ceramic Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, 606-8585, Kyoto, Japan.
- Department Polytechnic of Engineering and Architecture, University of Udine, 33100, Udine, Italy
- Biomedical Research Center, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, Kyoto 606-8585, Japan
| | - Wenliang Zhu
- Ceramic Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, 606-8585, Kyoto, Japan.
| | - Osam Mazda
- Department of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Pietro Riello
- Dipartimento di Scienze Molecolari e Nanosistemi, Università Ca' Foscari di Venezia, Via Torino 155, 30172 Venezia, Italy
| | - Giuseppe Pezzotti
- Ceramic Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, 606-8585, Kyoto, Japan.
- Department of Molecular Genetics, Institute of Biomedical Science, Kansai Medical University, 2-5-1 Shinmachi, Hiraka-ta, Osaka 573-1010, Japan
- Department of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
- Department of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
- Department of Orthopedic Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjuku-ku, 160-0023 Tokyo, Japan
- Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
- Dipartimento di Scienze Molecolari e Nanosistemi, Università Ca' Foscari di Venezia, Via Torino 155, 30172 Venezia, Italy
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Wang Z, Wang M, Lin M, Wei P. The immunomodulatory effects of metformin in LPS-induced macrophages: an in vitro study. Inflamm Res 2024; 73:175-181. [PMID: 38091014 DOI: 10.1007/s00011-023-01827-8] [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: 07/28/2023] [Revised: 11/17/2023] [Accepted: 11/23/2023] [Indexed: 01/31/2024] Open
Abstract
OBJECTIVE The study aimed to explore the immunomodulatory effects of clinically relevant concentrations of metformin on macrophages during sepsis, which is characterized by an initial hyperinflammatory phase followed by a period of immunosuppression. METHODS: We employed the RAW 264.7 mouse macrophage cell line as an in vitro model to induce inflammatory responses and immune suppression through primary and secondary stimulation by lipopolysaccharide (LPS). The cells were exposed to clinically relevant concentrations of metformin, and their responses were gauged through cytotoxicity assays, enzyme-linked immunosorbent assay for cytokine quantification, and assessments of intracellular reactive oxygen species (ROS) production. Moreover, to probe the role of AMPK in mediating the effects of metformin, we conducted an AMP-activated protein kinase (AMPK) activity assay and knocked down AMPK using siRNA. RESULTS: Our study revealed that clinically relevant concentrations of metformin considerably decreased the LPS-induced secretion of tumor necrosis factor-α and interleukin-6, which indicates the suppression of the initial hyperinflammatory response. Furthermore, metformin prevented LPS-induced immunosuppression. Notably, these immunomodulatory effects of metformin were not mediated by the activation of the AMPK pathway, as evidenced by the unaltered AMPK activity and siRNA experiments. The modulation of intracellular ROS levels emerged as the critical mechanism underlying the inhibition of hyperinflammation and impediment of immunosuppression by metformin. CONCLUSION A certain therapeutic dose of metformin inhibited hyperinflammatory responses and alleviated immunosuppression in LPS-induced macrophages through the bidirectional modulation of intracellular ROS generation.
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Affiliation(s)
- Zhiyong Wang
- Department of Immunology, Zhuhai Campus of Zunyi Medical University, Zhuhai, China
| | - Min Wang
- Department of Pharmaceutics, Zhuhai Campus of Zunyi Medical University, Zhuhai, China
| | - Mao Lin
- Department of Physiology, Zhuhai Campus of Zunyi Medical University, Zhuhai, China
| | - Pei Wei
- Department of Immunology, Zhuhai Campus of Zunyi Medical University, Zhuhai, China.
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Esposito C, Janneh M, Spaziani S, Calcagno V, Bernardi ML, Iammarino M, Verdone C, Tagliamonte M, Buonaguro L, Pisco M, Aversano L, Cusano A. Assessment of Primary Human Liver Cancer Cells by Artificial Intelligence-Assisted Raman Spectroscopy. Cells 2023; 12:2645. [PMID: 37998378 PMCID: PMC10670489 DOI: 10.3390/cells12222645] [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: 09/20/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023] Open
Abstract
We investigated the possibility of using Raman spectroscopy assisted by artificial intelligence methods to identify liver cancer cells and distinguish them from their Non-Tumor counterpart. To this aim, primary liver cells (40 Tumor and 40 Non-Tumor cells) obtained from resected hepatocellular carcinoma (HCC) tumor tissue and the adjacent non-tumor area (negative control) were analyzed by Raman micro-spectroscopy. Preliminarily, the cells were analyzed morphologically and spectrally. Then, three machine learning approaches, including multivariate models and neural networks, were simultaneously investigated and successfully used to analyze the cells' Raman data. The results clearly demonstrate the effectiveness of artificial intelligence (AI)-assisted Raman spectroscopy for Tumor cell classification and prediction with an accuracy of nearly 90% of correct predictions on a single spectrum.
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Affiliation(s)
- Concetta Esposito
- Optoelectronic Division-Engineering Department, University of Sannio, 82100 Benevento, Italy
- Centro Regionale Information Communication Technology (CeRICT Scrl), 82100 Benevento, Italy; (M.L.B.); (L.B.)
| | - Mohammed Janneh
- Optoelectronic Division-Engineering Department, University of Sannio, 82100 Benevento, Italy
- Centro Regionale Information Communication Technology (CeRICT Scrl), 82100 Benevento, Italy; (M.L.B.); (L.B.)
| | - Sara Spaziani
- Optoelectronic Division-Engineering Department, University of Sannio, 82100 Benevento, Italy
- Centro Regionale Information Communication Technology (CeRICT Scrl), 82100 Benevento, Italy; (M.L.B.); (L.B.)
| | - Vincenzo Calcagno
- Optoelectronic Division-Engineering Department, University of Sannio, 82100 Benevento, Italy
- Centro Regionale Information Communication Technology (CeRICT Scrl), 82100 Benevento, Italy; (M.L.B.); (L.B.)
| | - Mario Luca Bernardi
- Centro Regionale Information Communication Technology (CeRICT Scrl), 82100 Benevento, Italy; (M.L.B.); (L.B.)
- Informatics Group, Engineering Department, University of Sannio, 82100 Benevento, Italy
| | - Martina Iammarino
- Centro Regionale Information Communication Technology (CeRICT Scrl), 82100 Benevento, Italy; (M.L.B.); (L.B.)
- Informatics Group, Engineering Department, University of Sannio, 82100 Benevento, Italy
| | - Chiara Verdone
- Centro Regionale Information Communication Technology (CeRICT Scrl), 82100 Benevento, Italy; (M.L.B.); (L.B.)
- Informatics Group, Engineering Department, University of Sannio, 82100 Benevento, Italy
| | - Maria Tagliamonte
- Centro Regionale Information Communication Technology (CeRICT Scrl), 82100 Benevento, Italy; (M.L.B.); (L.B.)
- National Cancer Institute-IRCCS “Pascale”, Via Mariano Semmola, 52, 80131 Napoli, Italy
| | - Luigi Buonaguro
- Centro Regionale Information Communication Technology (CeRICT Scrl), 82100 Benevento, Italy; (M.L.B.); (L.B.)
- National Cancer Institute-IRCCS “Pascale”, Via Mariano Semmola, 52, 80131 Napoli, Italy
| | - Marco Pisco
- Optoelectronic Division-Engineering Department, University of Sannio, 82100 Benevento, Italy
- Centro Regionale Information Communication Technology (CeRICT Scrl), 82100 Benevento, Italy; (M.L.B.); (L.B.)
| | - Lerina Aversano
- Centro Regionale Information Communication Technology (CeRICT Scrl), 82100 Benevento, Italy; (M.L.B.); (L.B.)
- Informatics Group, Engineering Department, University of Sannio, 82100 Benevento, Italy
| | - Andrea Cusano
- Optoelectronic Division-Engineering Department, University of Sannio, 82100 Benevento, Italy
- Centro Regionale Information Communication Technology (CeRICT Scrl), 82100 Benevento, Italy; (M.L.B.); (L.B.)
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Abstract
Lipids are essential cellular components forming membranes, serving as energy reserves, and acting as chemical messengers. Dysfunction in lipid metabolism and signaling is associated with a wide range of diseases including cancer and autoimmunity. Heterogeneity in cell behavior including lipid signaling is increasingly recognized as a driver of disease and drug resistance. This diversity in cellular responses as well as the roles of lipids in health and disease drive the need to quantify lipids within single cells. Single-cell lipid assays are challenging due to the small size of cells (∼1 pL) and the large numbers of lipid species present at concentrations spanning orders of magnitude. A growing number of methodologies enable assay of large numbers of lipid analytes, perform high-resolution spatial measurements, or permit highly sensitive lipid assays in single cells. Covered in this review are mass spectrometry, Raman imaging, and fluorescence-based assays including microscopy and microseparations.
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Affiliation(s)
- Ming Yao
- Department of Bioengineering, University of Washington, Seattle, Washington, USA; , ,
| | | | - Nancy L Allbritton
- Department of Bioengineering, University of Washington, Seattle, Washington, USA; , ,
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