1
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Fornasaro S, Rapani A, Farina F, Ibishi M, Pisnoli G, Stacchi C, Sergo V, Bonifacio A, Di Lenarda R, Berton F. Spectroscopic insights into peri-implant mucositis and peri-implantitis: unveiling peri-implant crevicular fluid profiles using surface enhanced Raman scattering. Analyst 2024; 149:885-894. [PMID: 38179644 DOI: 10.1039/d3an01438j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Abstract
The precise identification and differentiation of peri-implant diseases, without the need for intrusive procedures, is crucial for the successful clinical treatment and overall durability of dental implants. This work introduces a novel approach that combines surface-enhanced Raman scattering (SERS) spectroscopy with advanced chemometrics to analyse peri-implant crevicular fluid (PICF) samples. The primary purpose is to offer an unbiased evaluation of implant health. A detailed investigation was performed on PICF samples obtained from a cohort of patients exhibiting different levels of peri-implant health, including those with healthy implants, implants impacted by peri-implantitis, and implants with peri-implant mucositis. The obtained SERS spectra were analysed using canonical-powered partial least squares (CPPLS) to identify unique chemical characteristics associated with each inflammatory state. Significantly, our research findings unveil the presence of a common inflammatory SERS spectral pattern in cases of peri-implantitis and peri-implant mucositis. Furthermore, the SERS-based scores obtained from CPPLS were combined with established clinical scores and subjected to a linear discriminant analysis (LDA) classifier. Repeated double cross-validation was used to validate the method's capacity to discriminate different implant conditions. The integrated approach showcased high sensitivity and specificity and an overall balanced accuracy of 92%, demonstrating its potential to serve as a non-invasive diagnostic tool for real-time implant monitoring and early detection of inflammatory conditions.
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Affiliation(s)
- Stefano Fornasaro
- University of Trieste, Department of Chemical and Pharmaceutical Sciences, via L. Giorgeri 1, 34127 Trieste, Italy.
| | - Antonio Rapani
- Maxillofacial and Dental Surgical Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, Piazza dell'Ospitale 1, 34125, Trieste, Italy
| | - Federica Farina
- Maxillofacial and Dental Surgical Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, Piazza dell'Ospitale 1, 34125, Trieste, Italy
| | - Marigona Ibishi
- Maxillofacial and Dental Surgical Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, Piazza dell'Ospitale 1, 34125, Trieste, Italy
| | - Giulia Pisnoli
- Maxillofacial and Dental Surgical Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, Piazza dell'Ospitale 1, 34125, Trieste, Italy
| | - Claudio Stacchi
- Maxillofacial and Dental Surgical Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, Piazza dell'Ospitale 1, 34125, Trieste, Italy
| | - Valter Sergo
- Raman Spectroscopy Lab, Department of Engineering and Architecture, University of Trieste, via A. Valerio 6a, 34127 Trieste, Italy
| | - Alois Bonifacio
- Raman Spectroscopy Lab, Department of Engineering and Architecture, University of Trieste, via A. Valerio 6a, 34127 Trieste, Italy
| | - Roberto Di Lenarda
- Maxillofacial and Dental Surgical Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, Piazza dell'Ospitale 1, 34125, Trieste, Italy
| | - Federico Berton
- Maxillofacial and Dental Surgical Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, Piazza dell'Ospitale 1, 34125, Trieste, Italy
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2
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Monaghan JF, Cullen D, Wynne C, Lyng FM, Meade AD. Effect of pre-analytical variables on Raman and FTIR spectral content of lymphocytes. Analyst 2023; 148:5422-5434. [PMID: 37750362 DOI: 10.1039/d3an00686g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
The use of Fourier transform infrared (FTIR) and Raman spectroscopy (RS) for the analysis of lymphocytes in clinical applications is increasing in the field of biomedicine. The pre-analytical phase, which is the most vulnerable stage of the testing process, is where most errors and sample variance occur; however, it is unclear how pre-analytical variables affect the FTIR and Raman spectra of lymphocytes. In this study, we evaluated how pre-analytical procedures undertaken before spectroscopic analysis influence the spectral integrity of lymphocytes purified from the peripheral blood of male volunteers (n = 3). Pre-analytical variables investigated were associated with (i) sample preparation, (blood collection systems, anticoagulant, needle gauges), (ii) sample storage (fresh or frozen), and (iii) sample processing (inter-operator variability, time to lymphocyte isolation). Although many of these procedural pre-analytical variables did not alter the spectral signature of the lymphocytes, evidence of spectral effects due to the freeze-thaw cycle, in vitro culture inter-operator variability and the time to lymphocyte isolation was observed. Although FTIR and RS possess clinical potential, their translation into a clinical environment is impeded by a lack of standardisation and harmonisation of protocols related to the preparation, storage, and processing of samples, which hinders uniform, accurate, and reproducible analysis. Therefore, further development of protocols is required to successfully integrate these techniques into current clinical workflows.
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Affiliation(s)
- Jade F Monaghan
- School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Central Quad, City Campus, Grangegorman, D07 XT95, Ireland.
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Aungier Street, D02 HW71, Ireland
| | - Daniel Cullen
- School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Central Quad, City Campus, Grangegorman, D07 XT95, Ireland.
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Aungier Street, D02 HW71, Ireland
| | - Claire Wynne
- School of Biological, Health and Sports Sciences, Technological University Dublin, Central Quad, City Campus, Grangegorman, D07 XT95, Ireland
| | - Fiona M Lyng
- School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Central Quad, City Campus, Grangegorman, D07 XT95, Ireland.
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Aungier Street, D02 HW71, Ireland
| | - Aidan D Meade
- School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Central Quad, City Campus, Grangegorman, D07 XT95, Ireland.
- Radiation and Environmental Science Centre, Focas Research Institute, Technological University Dublin, Aungier Street, D02 HW71, Ireland
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3
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Osadare IE, Xiong L, Rubio I, Neugebauer U, Press AT, Ramoji A, Popp J. Raman Spectroscopy Profiling of Splenic T-Cells in Sepsis and Endotoxemia in Mice. Int J Mol Sci 2023; 24:12027. [PMID: 37569403 PMCID: PMC10419286 DOI: 10.3390/ijms241512027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 07/17/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
Sepsis is a life-threatening condition that results from an overwhelming and disproportionate host response to an infection. Currently, the quality and extent of the immune response are evaluated based on clinical symptoms and the concentration of inflammatory biomarkers released or expressed by the immune cells. However, the host response toward sepsis is heterogeneous, and the roles of the individual immune cell types have not been fully conceptualized. During sepsis, the spleen plays a vital role in pathogen clearance, such as bacteria by an antibody response, macrophage bactericidal capacity, and bacterial endotoxin detoxification. This study uses Raman spectroscopy to understand the splenic T-lymphocyte compartment profile changes during bona fide bacterial sepsis versus hyperinflammatory endotoxemia. The Raman spectral analysis showed marked changes in splenocytes of mice subjected to septic peritonitis principally in the DNA region, with minor changes in the amino acids and lipoprotein areas, indicating significant transcriptomic activity during sepsis. Furthermore, splenocytes from mice exposed to endotoxic shock by injection of a high dose of lipopolysaccharide showed significant changes in the protein and lipid profiles, albeit with interindividual variations in inflammation severity. In summary, this study provided experimental evidence for the applicability and informative value of Raman spectroscopy for profiling the immune response in a complex, systemic infection scenario. Importantly, changes within the acute phase of inflammation onset (24 h) were reliably detected, lending support to the concept of early treatment and severity control by extracorporeal Raman profiling of immunocyte signatures.
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Affiliation(s)
- Ibukun Elizabeth Osadare
- Institute of Physical Chemistry (IPC), Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (I.E.O.); (U.N.); (J.P.)
| | - Ling Xiong
- Department of Anesthesiology and Intensive Care, Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747 Jena, Germany; (L.X.); (I.R.); (A.T.P.)
| | - Ignacio Rubio
- Department of Anesthesiology and Intensive Care, Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747 Jena, Germany; (L.X.); (I.R.); (A.T.P.)
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747 Jena, Germany
- Leibniz Center for Photonics in Infection Research, Jena University Hospital, Friedrich Schiller University Jena, 07747 Jena, Germany
| | - Ute Neugebauer
- Institute of Physical Chemistry (IPC), Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (I.E.O.); (U.N.); (J.P.)
- Department of Anesthesiology and Intensive Care, Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747 Jena, Germany; (L.X.); (I.R.); (A.T.P.)
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Adrian T. Press
- Department of Anesthesiology and Intensive Care, Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747 Jena, Germany; (L.X.); (I.R.); (A.T.P.)
- Center for Sepsis Control and Care (CSCC), Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747 Jena, Germany
- Leibniz Center for Photonics in Infection Research, Jena University Hospital, Friedrich Schiller University Jena, 07747 Jena, Germany
- Faculty of Medicine, Friedrich Schiller University Jena, Kastanienstraße 1, 07747 Jena, Germany
| | - Anuradha Ramoji
- Institute of Physical Chemistry (IPC), Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (I.E.O.); (U.N.); (J.P.)
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Juergen Popp
- Institute of Physical Chemistry (IPC), Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (I.E.O.); (U.N.); (J.P.)
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
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4
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Matuszczyk JC, Zijlstra G, Ede D, Ghaffari N, Yuh J, Brivio V. Raman spectroscopy provides valuable process insights for cell-derived and cellular products. Curr Opin Biotechnol 2023; 81:102937. [PMID: 37187103 DOI: 10.1016/j.copbio.2023.102937] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/01/2023] [Accepted: 03/10/2023] [Indexed: 05/17/2023]
Abstract
Two of the big challenges in modern bioprocesses are process economics and in-depth process understanding. Getting access to online process data helps to understand process dynamics and monitor critical process parameters (CPPs). This is an important part of the quality-by- design concept that was introduced to the pharmaceutical industry in the last decade. Raman spectroscopy has proven to be a versatile tool to allow noninvasive measurements and access to a broad spectrum of analytes. This information can then be used for enhanced process control strategies. This review article will focus on the latest applications of Raman spectroscopy in established protein production bioprocesses as well as show its potential for virus, cell therapy, and mRNA processes.
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Affiliation(s)
| | | | - David Ede
- Sartorius Stedim North America, Inc., USA
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5
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Safir F, Vu N, Tadesse LF, Firouzi K, Banaei N, Jeffrey SS, Saleh AAE, Khuri-Yakub B(P, Dionne JA. Combining Acoustic Bioprinting with AI-Assisted Raman Spectroscopy for High-Throughput Identification of Bacteria in Blood. NANO LETTERS 2023; 23:2065-2073. [PMID: 36856600 PMCID: PMC10037319 DOI: 10.1021/acs.nanolett.2c03015] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 02/19/2023] [Indexed: 06/18/2023]
Abstract
Identifying pathogens in complex samples such as blood, urine, and wastewater is critical to detect infection and inform optimal treatment. Surface-enhanced Raman spectroscopy (SERS) and machine learning (ML) can distinguish among multiple pathogen species, but processing complex fluid samples to sensitively and specifically detect pathogens remains an outstanding challenge. Here, we develop an acoustic bioprinter to digitize samples into millions of droplets, each containing just a few cells, which are identified with SERS and ML. We demonstrate rapid printing of 2 pL droplets from solutions containing S. epidermidis, E. coli, and blood; when they are mixed with gold nanorods (GNRs), SERS enhancements of up to 1500× are achieved.We then train a ML model and achieve ≥99% classification accuracy from cellularly pure samples and ≥87% accuracy from cellularly mixed samples. We also obtain ≥90% accuracy from droplets with pathogen:blood cell ratios <1. Our combined bioprinting and SERS platform could accelerate rapid, sensitive pathogen detection in clinical, environmental, and industrial settings.
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Affiliation(s)
- Fareeha Safir
- *Department
of Mechanical Engineering, Stanford University, Stanford, California 94305, United States
| | - Nhat Vu
- Pumpkinseed
Technologies, Inc., Palo Alto, California 94306, United States
| | - Loza F. Tadesse
- Department
of Bioengineering, Stanford University School
of Medicine and School of Engineering, Stanford, California 94305, United States
| | - Kamyar Firouzi
- E.
L. Ginzton Laboratory, Stanford University, Stanford, California 94305, United States
| | - Niaz Banaei
- Department
of Pathology, Stanford University School
of Medicine, Stanford, 94305 California, United
States
- Clinical
Microbiology Laboratory, Stanford Health Care, Palo Alto, California 94304, United States
- Department
of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Stefanie S. Jeffrey
- Department
of Surgery, Stanford University School of
Medicine, Stanford, California 94305, United States
| | - Amr. A. E. Saleh
- Department
of Engineering Mathematics and Physics, Cairo University, Cairo 12613, Egypt
- Department
of Materials Science and Engineering, Stanford
University, Stanford, California 94305, United States
| | - Butrus (Pierre)
T. Khuri-Yakub
- E.
L. Ginzton Laboratory, Stanford University, Stanford, California 94305, United States
- Department
of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Jennifer A. Dionne
- Department
of Materials Science and Engineering, Stanford
University, Stanford, California 94305, United States
- Department
of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, California 94035, United States
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6
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Naumann M, Arend N, Guliev RR, Kretzer C, Rubio I, Werz O, Neugebauer U. Label-Free Characterization of Macrophage Polarization Using Raman Spectroscopy. Int J Mol Sci 2023; 24:824. [PMID: 36614272 PMCID: PMC9821063 DOI: 10.3390/ijms24010824] [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: 11/20/2022] [Revised: 12/23/2022] [Accepted: 12/28/2022] [Indexed: 01/05/2023] Open
Abstract
Macrophages are important cells of the innate immune system that play many different roles in host defense, a fact that is reflected by their polarization into many distinct subtypes. Depending on their function and phenotype, macrophages can be grossly classified into classically activated macrophages (pro-inflammatory M1 cells), alternatively activated macrophages (anti-inflammatory M2 cells), and non-activated cells (resting M0 cells). A fast, label-free and non-destructive characterization of macrophage phenotypes could be of importance for studying the contribution of the various subtypes to numerous pathologies. In this work, single cell Raman spectroscopic imaging was applied to visualize the characteristic phenotype as well as to discriminate between different human macrophage phenotypes without any label and in a non-destructive manner. Macrophages were derived by differentiation of peripheral blood monocytes of human healthy donors and differently treated to yield M0, M1 and M2 phenotypes, as confirmed by marker analysis using flow cytometry and fluorescence imaging. Raman images of chemically fixed cells of those three macrophage phenotypes were processed using chemometric methods of unmixing (N-FINDR) and discrimination (PCA-LDA). The discrimination models were validated using leave-one donor-out cross-validation. The results show that Raman imaging is able to discriminate between pro- and anti-inflammatory macrophage phenotypes with high accuracy in a non-invasive, non-destructive and label-free manner. The spectral differences observed can be explained by the biochemical characteristics of the different phenotypes.
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Affiliation(s)
- Max Naumann
- Leibniz Institute of Photonic Technology Jena, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI, Albert-Einstein-Str. 9, 07745 Jena, Germany
- Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
| | - Natalie Arend
- Leibniz Institute of Photonic Technology Jena, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Rustam R. Guliev
- Leibniz Institute of Photonic Technology Jena, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Christian Kretzer
- Department of Pharmaceutical/Medicinal Chemistry, Institute of Pharmacy, Friedrich Schiller University Jena, Philosophenweg 14, 07743 Jena, Germany
| | - Ignacio Rubio
- Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
- Department of Anaesthesiology and Intensive Care Medicine, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
| | - Oliver Werz
- Department of Pharmaceutical/Medicinal Chemistry, Institute of Pharmacy, Friedrich Schiller University Jena, Philosophenweg 14, 07743 Jena, Germany
- Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena, Philosophenweg 7, 07743 Jena, Germany
| | - Ute Neugebauer
- Leibniz Institute of Photonic Technology Jena, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, LPI, Albert-Einstein-Str. 9, 07745 Jena, Germany
- Center for Sepsis Control and Care, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
- Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena, Philosophenweg 7, 07743 Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
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7
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Pistiki A, Hornung F, Silge A, Ramoji A, Ryabchykov O, Bocklitz TW, Weber K, Löffler B, Popp J, Deinhardt‐Emmer S. Raman spectroscopic cellomics for the detection of SARS-CoV-2-associated neutrophil activation after TNF-α stimulation. Clin Transl Med 2022; 12:e1139. [PMID: 36536489 PMCID: PMC9763540 DOI: 10.1002/ctm2.1139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/18/2022] [Accepted: 11/21/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Aikaterini Pistiki
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of PhotonicsJenaGermany,InfectoGnostics Research Campus JenaCenter for Applied ResearchJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
| | - Franziska Hornung
- Institute of Medical Microbiology, Jena University HospitalJenaGermany
| | - Anja Silge
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of PhotonicsJenaGermany,InfectoGnostics Research Campus JenaCenter for Applied ResearchJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
| | - Anuradha Ramoji
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of PhotonicsJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
| | - Oleg Ryabchykov
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of PhotonicsJenaGermany,InfectoGnostics Research Campus JenaCenter for Applied ResearchJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
| | - Thomas W. Bocklitz
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of PhotonicsJenaGermany,InfectoGnostics Research Campus JenaCenter for Applied ResearchJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
| | - Karina Weber
- InfectoGnostics Research Campus JenaCenter for Applied ResearchJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
| | - Bettina Löffler
- Institute of Medical Microbiology, Jena University HospitalJenaGermany
| | - Jürgen Popp
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of PhotonicsJenaGermany,InfectoGnostics Research Campus JenaCenter for Applied ResearchJenaGermany,Leibniz Institute of Photonic TechnologyJenaGermany
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8
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Azam KSF, Ryabchykov O, Bocklitz T. A Review on Data Fusion of Multidimensional Medical and Biomedical Data. Molecules 2022; 27:7448. [PMID: 36364272 PMCID: PMC9655963 DOI: 10.3390/molecules27217448] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/19/2022] [Accepted: 10/21/2022] [Indexed: 08/05/2024] Open
Abstract
Data fusion aims to provide a more accurate description of a sample than any one source of data alone. At the same time, data fusion minimizes the uncertainty of the results by combining data from multiple sources. Both aim to improve the characterization of samples and might improve clinical diagnosis and prognosis. In this paper, we present an overview of the advances achieved over the last decades in data fusion approaches in the context of the medical and biomedical fields. We collected approaches for interpreting multiple sources of data in different combinations: image to image, image to biomarker, spectra to image, spectra to spectra, spectra to biomarker, and others. We found that the most prevalent combination is the image-to-image fusion and that most data fusion approaches were applied together with deep learning or machine learning methods.
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Affiliation(s)
- Kazi Sultana Farhana Azam
- Leibniz Institute of Photonic Technology, Member of Leibniz-Research Alliance “Health Technologies”, Albert-Einstein-Straße 9, 07745 Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
| | - Oleg Ryabchykov
- Leibniz Institute of Photonic Technology, Member of Leibniz-Research Alliance “Health Technologies”, Albert-Einstein-Straße 9, 07745 Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
| | - Thomas Bocklitz
- Leibniz Institute of Photonic Technology, Member of Leibniz-Research Alliance “Health Technologies”, Albert-Einstein-Straße 9, 07745 Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
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9
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Pistiki A, Salbreiter M, Sultan S, Rösch P, Popp J. Application of Raman spectroscopy in the hospital environment. TRANSLATIONAL BIOPHOTONICS 2022. [DOI: 10.1002/tbio.202200011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Aikaterini Pistiki
- Leibniz‐Institute of Photonic Technology Member of the Leibniz Research Alliance–Leibniz Health Technologies Jena Germany
- InfectoGnostics Research Campus Jena Center of Applied Research Jena Germany
| | - Markus Salbreiter
- InfectoGnostics Research Campus Jena Center of Applied Research Jena Germany
- Institute of Physical Chemistry and Abbe Center of Photonics Friedrich Schiller University Jena Germany
| | - Salwa Sultan
- InfectoGnostics Research Campus Jena Center of Applied Research Jena Germany
- Institute of Physical Chemistry and Abbe Center of Photonics Friedrich Schiller University Jena Germany
| | - Petra Rösch
- InfectoGnostics Research Campus Jena Center of Applied Research Jena Germany
- Institute of Physical Chemistry and Abbe Center of Photonics Friedrich Schiller University Jena Germany
| | - Jürgen Popp
- Leibniz‐Institute of Photonic Technology Member of the Leibniz Research Alliance–Leibniz Health Technologies Jena Germany
- InfectoGnostics Research Campus Jena Center of Applied Research Jena Germany
- Institute of Physical Chemistry and Abbe Center of Photonics Friedrich Schiller University Jena Germany
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10
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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.
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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
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11
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Indari O, Jakhmola S, Pathak DK, Tanwar M, Kandpal M, Mishra A, Kumar R, Jha HC. Comparative Account of Biomolecular Changes Post Epstein Barr Virus Infection of the Neuronal and Glial Cells Using Raman Microspectroscopy. ACS Chem Neurosci 2022; 13:1627-1637. [PMID: 35561419 DOI: 10.1021/acschemneuro.2c00081] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Raman microspectroscopy is a vibrational spectroscopy technique used for investigating molecular fingerprints of a wide range of liquid or solid samples. The technique can be efficiently utilized to understand the virus-mediated cellular changes and could provide valuable insights into specific biomolecular alterations. The Epstein Barr virus (EBV) has been associated with various types of cancers as well as neurodegenerative diseases. However, EBV-mediated neurological ailments are yet underexplored in terms of biomolecular changes in neuronal and glial cells (astrocytes and microglia). In continuation of our earlier exploration of EBV-influenced glial cells, we tried to decipher biomolecular changes in EBV-infected neuronal cells using Raman microspectroscopy. Additionally, we compared the consecutive biomolecular changes observed in neuronal cells with both the glial cells. We observed that EBV infection gets differentially regulated in the neuronal cells, astrocytes, and microglia. The viral entry and initiation of infection-mediated cellular modulation could start as soon as 2 h post infection but may regulate a distinct biomolecular milieu in different time intervals. Similar to the early timespan, the 24-36 h interval could also be important for EBV to manipulate neuronal as well as glial cells as depicted from elevated biomolecular activities. At these time intervals, some common biomolecules such as proline, glucose, lactic acid, nucleotides, or cholesterol were observed in the cells. However, at these time intervals, some distinct biomolecules were also observed in each cell, such as collagen, lipid, and protein stretches in the neuronal nucleus (2-4 h); tyrosine and RNA in the astrocyte nucleus (2-4 h nucleus); and fatty acids in the microglia nucleus (24-36 h). The observed biomolecular entities could ultimately play pivotal roles in the viral usurpation of cells. We also provided insights into whether these biomolecular changes can be correlated to each other and mediate virus-associated manifestations which can be linked to neurological complications. Our study aids in the understanding of EBV-mediated biomolecular changes in the various compartments of the central nervous system.
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Affiliation(s)
- Omkar Indari
- Infection Bioengineering Group, Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Simrol, Indore 453552, India
| | - Shweta Jakhmola
- Infection Bioengineering Group, Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Simrol, Indore 453552, India
| | - Devesh K. Pathak
- Materials and Device Laboratory, Department of Physics, Indian Institute of Technology Indore, Simrol, Indore 453552, India
- Department of Chemical Engineering, University of Seoul, Seoul 02504, Republic of Korea
| | - Manushree Tanwar
- Materials and Device Laboratory, Department of Physics, Indian Institute of Technology Indore, Simrol, Indore 453552, India
| | - Meenakshi Kandpal
- Infection Bioengineering Group, Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Simrol, Indore 453552, India
| | - Amit Mishra
- Cellular and Molecular Neurobiology Unit, Indian Institute of Technology Jodhpur, Jodhpur 342011, India
| | - Rajesh Kumar
- Materials and Device Laboratory, Department of Physics, Indian Institute of Technology Indore, Simrol, Indore 453552, India
| | - Hem Chandra Jha
- Infection Bioengineering Group, Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Simrol, Indore 453552, India
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12
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Ramoji A, Pahlow S, Pistiki A, Rueger J, Shaik TA, Shen H, Wichmann C, Krafft C, Popp J. Understanding Viruses and Viral Infections by Biophotonic Methods. TRANSLATIONAL BIOPHOTONICS 2022. [DOI: 10.1002/tbio.202100008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Anuradha Ramoji
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- Center for Sepsis Control and Care Jena University Hospital, Am Klinikum 1, 07747 Jena Germany
| | - Susanne Pahlow
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena Germany
| | - Aikaterini Pistiki
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
| | - Jan Rueger
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
| | - Tanveer Ahmed Shaik
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
| | - Haodong Shen
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena Germany
| | - Christina Wichmann
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena Germany
| | - Christoph Krafft
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
| | - Juergen Popp
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4 Jena Germany
- Leibniz Institute of Photonic Technology Jena (a member of Leibniz Health Technologies) , Albert‐Einstein Str. 9 Jena Germany
- Center for Sepsis Control and Care Jena University Hospital, Am Klinikum 1, 07747 Jena Germany
- InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena Germany
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13
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Scholtz A, Ramoji A, Silge A, Jansson JR, de Moura IG, Popp J, Sram JP, Armani AM. COVID-19 Diagnostics: Past, Present, and Future. ACS PHOTONICS 2021; 8:2827-2838. [PMID: 37556281 PMCID: PMC8482784 DOI: 10.1021/acsphotonics.1c01052] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 09/02/2021] [Accepted: 09/02/2021] [Indexed: 05/25/2023]
Abstract
In winter of 2020, SARS-CoV-2 emerged as a global threat, impacting not only health but also financial and political stability. To address the societal need for monitoring the spread of SARS-CoV-2, many existing diagnostic technologies were quickly adapted to detect SARS-CoV-2 RNA and antigens as well as the immune response, and new testing strategies were developed to accelerate time-to-decision. In parallel, the infusion of research support accelerated the development of new spectroscopic methods. While these methods have significantly reduced the impact of SARS-CoV-2 on society when coupled with behavioral changes, they also lay the groundwork for a new generation of platform technologies. With several epidemics on the horizon, such as the rise of antibiotic-resistant bacteria, the ability to quickly pivot the target pathogen of this diagnostic toolset will continue to have an impact.
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Affiliation(s)
- Alexis Scholtz
- Department of Biomedical Engineering,
University of Southern California, Los Angeles, California
90089, United States of America
| | - Anuradha Ramoji
- Institute of Physical Chemistry (IPC) and
Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena,
Germany
- Leibniz Institute of Photonic Technology
(IPHT) Jena, Member of the Leibniz Research Alliance - Leibniz Health
Technologies, Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Anja Silge
- Institute of Physical Chemistry (IPC) and
Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena,
Germany
- Leibniz Institute of Photonic Technology
(IPHT) Jena, Member of the Leibniz Research Alliance - Leibniz Health
Technologies, Albert-Einstein-Straße 9, 07745 Jena, Germany
- InfectoGnostics Research Campus
Jena, Centre of Applied Research, Philosophenweg 7, D-07743 Jena,
Germany
| | - Jakob R. Jansson
- Fulgent Genetics, Temple
City, California 91780, United States of America
| | - Ian G. de Moura
- Fulgent Genetics, Temple
City, California 91780, United States of America
| | - Jürgen Popp
- Institute of Physical Chemistry (IPC) and
Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena,
Germany
- Leibniz Institute of Photonic Technology
(IPHT) Jena, Member of the Leibniz Research Alliance - Leibniz Health
Technologies, Albert-Einstein-Straße 9, 07745 Jena, Germany
- InfectoGnostics Research Campus
Jena, Centre of Applied Research, Philosophenweg 7, D-07743 Jena,
Germany
| | - Jakub P. Sram
- Fulgent Genetics, Temple
City, California 91780, United States of America
| | - Andrea M. Armani
- Department of Biomedical Engineering,
University of Southern California, Los Angeles, California
90089, United States of America
- Mork Family Department of Chemical Engineering,
University of Southern California, Los Angeles, California
90089, United States of America
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14
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Biochemical Analysis of Leukocytes after In Vitro and In Vivo Activation with Bacterial and Fungal Pathogens Using Raman Spectroscopy. Int J Mol Sci 2021; 22:ijms221910481. [PMID: 34638822 PMCID: PMC8508974 DOI: 10.3390/ijms221910481] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/14/2021] [Accepted: 09/23/2021] [Indexed: 11/25/2022] Open
Abstract
Biochemical information from activated leukocytes provide valuable diagnostic information. In this study, Raman spectroscopy was applied as a label-free analytical technique to characterize the activation pattern of leukocyte subpopulations in an in vitro infection model. Neutrophils, monocytes, and lymphocytes were isolated from healthy volunteers and stimulated with heat-inactivated clinical isolates of Candida albicans, Staphylococcus aureus, and Klebsiella pneumoniae. Binary classification models could identify the presence of infection for monocytes and lymphocytes, classify the type of infection as bacterial or fungal for neutrophils, monocytes, and lymphocytes and distinguish the cause of infection as Gram-negative or Gram-positive bacteria in the monocyte subpopulation. Changes in single-cell Raman spectra, upon leukocyte stimulation, can be explained with biochemical changes due to the leukocyte’s specific reaction to each type of pathogen. Raman spectra of leukocytes from the in vitro infection model were compared with spectra from leukocytes of patients with infection (DRKS-ID: DRKS00006265) with the same pathogen groups, and a good agreement was revealed. Our study elucidates the potential of Raman spectroscopy-based single-cell analysis for the differentiation of circulating leukocyte subtypes and identification of the infection by probing the molecular phenotype of those cells.
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