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Lasalvia M, Capozzi V, Perna G. Classification of healthy and cancerous colon cells by Fourier transform infrared spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 321:124683. [PMID: 38908360 DOI: 10.1016/j.saa.2024.124683] [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: 03/04/2024] [Revised: 06/04/2024] [Accepted: 06/18/2024] [Indexed: 06/24/2024]
Abstract
Colorectal cancer is one of the most diagnosed types of cancer in developed countries. Current diagnostic methods are partly dependent on pathologist experience and laboratories instrumentation. In this study, we used Fourier Transform Infrared (FTIR) spectroscopy in transflection mode, combined with Principal Components Analysis followed by Linear Discriminant Analysis (PCA-LDA) and Partial Least Squares - Discriminant Analysis (PLS-DA), to build a classification algorithm to diagnose colon cancer in cell samples, based on absorption spectra measured in two spectral ranges of the mid-infrared spectrum. In particular, PCA technique highlights small biochemical differences between healthy and cancerous cells: these are related to the larger lipid content in the former compared with the latter and to the larger relative amount of protein and nucleic acid components in the cancerous cells compared with the healthy ones. Comparison of the classification accuracy of PCA-LDA and PLS-DA methods applied to FTIR spectra measured in the 1000-1800 cm-1 (low wavenumber range, LWR) and 2700-3700 cm-1 (high wavenumber range, HWR) remarks that both algorithms are able to classify hidden class FTIR spectra with excellent accuracy (100 %) in both spectral regions. This is a hopeful result for clinical translation of infrared spectroscopy: in fact, it makes reliable the predictions obtained using FTIR measurements carried out only in the HWR, in which the glass slides used in clinical laboratories are transparent to IR radiation.
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Affiliation(s)
- Maria Lasalvia
- Dipartimento di Medicina Clinica e Sperimentale, Università di Foggia, 71122 Foggia, Italy
| | - Vito Capozzi
- Dipartimento di Medicina Clinica e Sperimentale, Università di Foggia, 71122 Foggia, Italy
| | - Giuseppe Perna
- Dipartimento di Medicina Clinica e Sperimentale, Università di Foggia, 71122 Foggia, Italy.
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2
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Queiroz de Oliveira W, Angélica Neri Numa I, Alvim ID, Azeredo HMC, Santos LB, Borsoi FT, de Araújo FF, Sawaya ACHF, do Nascimento GC, Clerici MTPS, do Sacramento CK, Maria Pastore G. Multilayer microparticles for programmed sequential release of phenolic compounds from Eugenia stipitata: Stability and bioavailability. Food Chem 2024; 443:138579. [PMID: 38301560 DOI: 10.1016/j.foodchem.2024.138579] [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: 10/16/2023] [Revised: 01/07/2024] [Accepted: 01/23/2024] [Indexed: 02/03/2024]
Abstract
A co-delivery system based on multilayer microparticles was developed and characterized for the sequential release of phenolic compounds (PCs) using different encapsulation processes (spray drying: SD and drying-chilling spray: SDC) and wall materials to improve the stability and bioavailability of PCs. Samples were characterized in terms of process yield (PY%), phenolic retention efficiency (PRE%), chemical structure and crystallinity (NMR, FTIR, DXR), thermal stability (DSC and FT-IR), anti-radical capacity (ORAC and ABTS) and in vitro digestion. PRE% of samples by SD were higher (p < 0.05) than SDC due to the formation of PCs from CRF (cará-roxo flour). NMR, FTIR, DXR confirmed the presence of key components and interactions for the formation of the advanced co-delivery system. The SDC particles showed crystalline regions by XRD and were stable at ∼47 °C. All samples showed good release of PC in the intestinal phase, and antiradical capacity that reached 23.66 µmol TE g-1.
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Affiliation(s)
- Williara Queiroz de Oliveira
- Laboratory of Bioflavours and Bioactive Compounds, Department of Food Science, Faculty of Food Engineering, University of Campinas, 13083-862 Campinas, SP, Brazil.
| | - Iramaia Angélica Neri Numa
- Laboratory of Bioflavours and Bioactive Compounds, Department of Food Science, Faculty of Food Engineering, University of Campinas, 13083-862 Campinas, SP, Brazil
| | - Izabela D Alvim
- Technology Center of Cereal and Chocolate, Food Technology Institute (ITAL), 13070-178 Campinas, SP, Brazil
| | | | - Leticia B Santos
- Embrapa Instrumentation, R. 15 de Novembro, 1452, 13560-970 São Carlos, SP, Brazil; Graduate Program in Food, Nutrition and Food Engineering, UNESP - São Paulo State University, Rodovia Araraquara-Jaú, km 01, 14800-903 Araraquara, SP, Brazil
| | - Felipe T Borsoi
- Laboratory of Bioflavours and Bioactive Compounds, Department of Food Science, Faculty of Food Engineering, University of Campinas, 13083-862 Campinas, SP, Brazil
| | - Fábio F de Araújo
- Laboratory of Bioflavours and Bioactive Compounds, Department of Food Science, Faculty of Food Engineering, University of Campinas, 13083-862 Campinas, SP, Brazil; Faculty of Pharmaceutical Science, University of Campinas, 13083-871 Campinas, SP, Brazil
| | - Alexandra C H F Sawaya
- Faculty of Pharmaceutical Science, University of Campinas, 13083-871 Campinas, SP, Brazil
| | - Gustavo C do Nascimento
- Department of Food Science and Nutrition, School of Food Engineering, University of Campinas, 13083-862 Campinas, SP, Brazil
| | - Maria Teresa P S Clerici
- Department of Food Science and Nutrition, School of Food Engineering, University of Campinas, 13083-862 Campinas, SP, Brazil
| | - Célio K do Sacramento
- Department of Agricultural and Environmental Sciences, State University of Santa Cruz, 45662-900 BA, Brazil
| | - Glaucia Maria Pastore
- Laboratory of Bioflavours and Bioactive Compounds, Department of Food Science, Faculty of Food Engineering, University of Campinas, 13083-862 Campinas, SP, Brazil
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Shree P, Aggarwal Y, Kumar M, Majhee L, Singh NN, Prakash O, Chandra A, Mahuli SA, Shamsi S, Rai A. Saliva Based Diagnostic Prediction of Oral Squamous Cell Carcinoma using FTIR Spectroscopy. Indian J Otolaryngol Head Neck Surg 2024; 76:2282-2289. [PMID: 38883442 PMCID: PMC11169329 DOI: 10.1007/s12070-023-04294-z] [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: 10/07/2023] [Accepted: 10/14/2023] [Indexed: 06/18/2024] Open
Abstract
Oral cancer ranks as the sixth most prevalent form of cancer worldwide, presenting a significant public health concern. According to the World Health Organization (WHO), within a 5-year period following diagnosis, the mortality rate among oral cancer patients of all stages stands at 45%. In this study, a total of 60 patients divided into 2 groups were recruited. Group A included 30 histo-pathologically confirmed OSCC patients and Group B included 30 healthy controls. A standardized procedure was followed to collect saliva samples. FTIR spectroscopy was done for all the saliva samples collected from both Group A and B. An IR Prestige-21 (Shimadzu Corp, Japan) spectrometer was used to record IR spectra in the 40-4000 cm-1 range SVM classifier was applied in the classification of disease state from normal subjects using FTIR data. The peaks were identified at wave no 1180 cm-1, 1230 cm-1, 1340 cm-1, 1360 cm-1, 1420 cm-1, 1460 cm-1, 1500 cm-1, 1540 cm-1, 1560 cm-1, and 1637 cm-1. The observed results of SVM demonstrated the accuracy of 91.66% in the classification of Cancer tissues from the normal subjects with sensitivity of 83.33% while specificity and precision of 100.0%. The development of oral cancer leads to noticeable alterations in the secondary structure of proteins. These findings emphasize the promising use of ATR-FTIR platforms in conjunction with machine learning as a reliable, non-invasive, reagent-free, and highly sensitive method for screening and monitoring individuals with oral cancer.
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Affiliation(s)
- Priya Shree
- Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, Jharkhand 834009 India
| | - Yogendra Aggarwal
- Department of Bioengineering and Biotechnology, Birla Institute of Technology Mesra, Ranchi, India
| | - Manish Kumar
- Department of Bioengineering, Birla Institute of Technology, Mesra, Ranchi, 835215 India
| | - Lakhan Majhee
- Department of Pharmacology, Rajendra Institute of Medical Sciences, Ranchi, India
| | - Narendra Nath Singh
- Oral Pathology, Microbiology and Forensic Odontology, Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India
| | - Om Prakash
- Oral and Maxillofacial Pathology, Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India
| | - Akhilesh Chandra
- Department of Oral Pathology and Microbiology, Faculty of Dental Sciences, Banaras Hindu University, Varanasi, India
| | - Simpy Amit Mahuli
- Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India
| | - Shoa Shamsi
- Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India
| | - Arpita Rai
- Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, Jharkhand 834009 India
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Kaimuangpak K, Rosalina R, Thumanu K, Weerapreeyakul N. Macromolecules with predominant β-pleated sheet proteins in extracellular vesicles released from Raphanus sativus L. var. caudatus Alef microgreens induce DNA damage-mediated apoptosis in HCT116 colon cancer cells. Int J Biol Macromol 2024; 269:132001. [PMID: 38702007 DOI: 10.1016/j.ijbiomac.2024.132001] [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: 11/05/2023] [Revised: 03/14/2024] [Accepted: 04/23/2024] [Indexed: 05/06/2024]
Abstract
Plant-derived bioactive macromolecules (i.e., proteins, lipids, and nucleic acids) were prepared as extracellular vesicles (EVs). Plant-derived EVs are gaining pharmaceutical research interest because of their bioactive components and delivery properties. The spherical nanosized EVs derived from Raphanus sativus L. var. caudatus Alef microgreens previously showed antiproliferative activity in HCT116 colon cancer cells from macromolecular compositions (predominantly proteins). To understand the mechanism of action, the biological activity studies, i.e., antiproliferation, cellular biochemical changes, DNA conformational changes, DNA damage, apoptotic nuclear morphological changes, apoptosis induction, and apoptotic pathways, were determined by neutral red uptake assay, synchrotron radiation-based Fourier transform infrared microspectroscopy, circular dichroism spectroscopy, comet assay, 4',6-diamidino-2-phenylindole (DAPI) staining, flow cytometry, and caspase activity assay, respectively. EVs inhibited HCT116 cell growth in concentration- and time-dependent manners, with a half-maximal inhibitory concentration of 675.4 ± 33.8 μg/ml at 48 h and a selectivity index of 1.5 ± 0.076. HCT116 treated with EVs mainly changed the cellular biochemical compositions in the nucleic acids and carbohydrates region. The DNA damage caused no changes in DNA conformation. The apoptotic nuclear morphological changes were associated with the increased apoptotic cell population. The apoptotic cell death was induced by both extrinsic and intrinsic pathways. EVs have potential as antiproliferative bioparticles.
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Affiliation(s)
- Karnchanok Kaimuangpak
- Graduate School (Research and Development in Pharmaceuticals Program), Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.
| | - Reny Rosalina
- Graduate School (Biomedical Sciences Program), Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.
| | - Kanjana Thumanu
- Synchrotron Light Research Institute (Public Organization), Nakhon Ratchasima 30000, Thailand.
| | - Natthida Weerapreeyakul
- Research Institute for Human High Performance and Health Promotion, Khon Kaen University, Khon Kaen 40002, Thailand; Division of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.
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5
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Kluz-Barłowska M, Kluz T, Paja W, Pancerz K, Łączyńska-Madera M, Miziak P, Cebulski J, Depciuch J. FT-Raman and FTIR spectroscopy as a tools showing marker of platinum-resistant phenomena in women suffering from ovarian cancer. Sci Rep 2024; 14:11025. [PMID: 38744861 PMCID: PMC11094164 DOI: 10.1038/s41598-024-61775-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 05/09/2024] [Indexed: 05/16/2024] Open
Abstract
Platinum-resistant phenomena in ovarian cancer is very dangerous for women suffering from this disease, because reduces the chances of complete recovery. Unfortunately, until now there are no methods to verify whether a woman with ovarian cancer is platinum-resistant. Importantly, histopathology images also were not shown differences in the ovarian cancer between platinum-resistant and platinum-sensitive tissues. Therefore, in this study, Fourier Transform InfraRed (FTIR) and FT-Raman spectroscopy techniques were used to find chemical differences between platinum-resistant and platinum-sensitive ovarian cancer tissues. Furthermore, Principal Component Analysis (PCA) and machine learning methods were performed to show if it possible to differentiate these two kind of tissues as well as to propose spectroscopy marker of platinum-resistant. Indeed, obtained results showed, that in platinum-resistant ovarian cancer tissues higher amount of phospholipids, proteins and lipids were visible, however when the ratio between intensities of peaks at 1637 cm-1 (FTIR) and at 2944 cm-1 (Raman) and every peaks in spectra was calculated, difference between groups of samples were not noticed. Moreover, structural changes visible as a shift of peaks were noticed for C-O-C, C-H bending and amide II bonds. PCA clearly showed, that PC1 can be used to differentiate platinum-resistant and platinum-sensitive ovarian cancer tissues, while two-trace two-dimensional correlation spectra (2T2D-COS) showed, that only in amide II, amide I and asymmetric CH lipids vibrations correlation between two analyzed types of tissues were noticed. Finally, machine learning algorithms showed, that values of accuracy, sensitivity and specificity were near to 100% for FTIR and around 95% for FT-Raman spectroscopy. Using decision tree peaks at 1777 cm-1, 2974 cm-1 (FTIR) and 1714 cm-1, 2817 cm-1 (FT-Raman) were proposed as spectroscopy marker of platinum-resistant.
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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
| | - Krzysztof Pancerz
- Institute of Philosophy, John Paul II Catholic University of Lublin, Lublin, Poland
| | - Monika Łączyńska-Madera
- Department of Gynecology, Gynecology Oncology and Obstetrics, Fryderyk Chopin University Hospital, F. Szopena 2, 35-055, Rzeszow, Poland
| | - Paulina Miziak
- Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093, Lublin, Poland
| | - Jozef 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.
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Korte B, Mathios D. Innovation in Non-Invasive Diagnosis and Disease Monitoring for Meningiomas. Int J Mol Sci 2024; 25:4195. [PMID: 38673779 PMCID: PMC11050588 DOI: 10.3390/ijms25084195] [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: 02/19/2024] [Revised: 03/26/2024] [Accepted: 04/07/2024] [Indexed: 04/28/2024] Open
Abstract
Meningiomas are tumors of the central nervous system that vary in their presentation, ranging from benign and slow-growing to highly aggressive. The standard method for diagnosing and classifying meningiomas involves invasive surgery and can fail to provide accurate prognostic information. Liquid biopsy methods, which exploit circulating tumor biomarkers such as DNA, extracellular vesicles, micro-RNA, proteins, and more, offer a non-invasive and dynamic approach for tumor classification, prognostication, and evaluating treatment response. Currently, a clinically approved liquid biopsy test for meningiomas does not exist. This review provides a discussion of current research and the challenges of implementing liquid biopsy techniques for advancing meningioma patient care.
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Affiliation(s)
- Brianna Korte
- Department of Neurosurgery, Washington University Medical Campus, St. Louis, MO 63110, USA
| | - Dimitrios Mathios
- Department of Neurosurgery, Washington University Medical Campus, St. Louis, MO 63110, USA
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7
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Bassler MC, Knoblich M, Gerhard-Hartmann E, Mukherjee A, Youssef A, Hagen R, Haug L, Goncalves M, Scherzad A, Stöth M, Ostertag E, Steinke M, Brecht M, Hackenberg S, Meyer TJ. Differentiation of Salivary Gland and Salivary Gland Tumor Tissue via Raman Imaging Combined with Multivariate Data Analysis. Diagnostics (Basel) 2023; 14:92. [PMID: 38201401 PMCID: PMC10795677 DOI: 10.3390/diagnostics14010092] [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: 11/06/2023] [Revised: 12/10/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024] Open
Abstract
Salivary gland tumors (SGTs) are a relevant, highly diverse subgroup of head and neck tumors whose entity determination can be difficult. Confocal Raman imaging in combination with multivariate data analysis may possibly support their correct classification. For the analysis of the translational potential of Raman imaging in SGT determination, a multi-stage evaluation process is necessary. By measuring a sample set of Warthin tumor, pleomorphic adenoma and non-tumor salivary gland tissue, Raman data were obtained and a thorough Raman band analysis was performed. This evaluation revealed highly overlapping Raman patterns with only minor spectral differences. Consequently, a principal component analysis (PCA) was calculated and further combined with a discriminant analysis (DA) to enable the best possible distinction. The PCA-DA model was characterized by accuracy, sensitivity, selectivity and precision values above 90% and validated by predicting model-unknown Raman spectra, of which 93% were classified correctly. Thus, we state our PCA-DA to be suitable for parotid tumor and non-salivary salivary gland tissue discrimination and prediction. For evaluation of the translational potential, further validation steps are necessary.
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Affiliation(s)
- Miriam C. Bassler
- Process Analysis and Technology (PA&T), School of Life Science, Reutlingen University, Alteburgstr. 150, 72762 Reutlingen, Germany; (M.C.B.); (M.K.); (A.M.); (E.O.)
- Institute of Physical and Theoretical Chemistry, Faculty of Science, University of Tübingen, Auf der Morgenstelle 18, 72076 Tübingen, Germany
| | - Mona Knoblich
- Process Analysis and Technology (PA&T), School of Life Science, Reutlingen University, Alteburgstr. 150, 72762 Reutlingen, Germany; (M.C.B.); (M.K.); (A.M.); (E.O.)
- Institute of Physical and Theoretical Chemistry, Faculty of Science, University of Tübingen, Auf der Morgenstelle 18, 72076 Tübingen, Germany
| | - Elena Gerhard-Hartmann
- Institute of Pathology, University of Würzburg, Josef-Schneider-Str. 2, 97080 Würzburg, Germany; (E.G.-H.); (A.Y.); (L.H.)
| | - Ashutosh Mukherjee
- Process Analysis and Technology (PA&T), School of Life Science, Reutlingen University, Alteburgstr. 150, 72762 Reutlingen, Germany; (M.C.B.); (M.K.); (A.M.); (E.O.)
- Institute of Physical and Theoretical Chemistry, Faculty of Science, University of Tübingen, Auf der Morgenstelle 18, 72076 Tübingen, Germany
| | - Almoatazbellah Youssef
- Institute of Pathology, University of Würzburg, Josef-Schneider-Str. 2, 97080 Würzburg, Germany; (E.G.-H.); (A.Y.); (L.H.)
| | - Rudolf Hagen
- Department of Oto-Rhino-Laryngology, Plastic, Aesthetic & Reconstructive Head and Neck Surgery, University Hospital Würzburg, Josef-Schneider-Str. 11, 97080 Würzburg, Germany; (R.H.); (M.G.); (A.S.); (M.S.); (S.H.)
| | - Lukas Haug
- Institute of Pathology, University of Würzburg, Josef-Schneider-Str. 2, 97080 Würzburg, Germany; (E.G.-H.); (A.Y.); (L.H.)
| | - Miguel Goncalves
- Department of Oto-Rhino-Laryngology, Plastic, Aesthetic & Reconstructive Head and Neck Surgery, University Hospital Würzburg, Josef-Schneider-Str. 11, 97080 Würzburg, Germany; (R.H.); (M.G.); (A.S.); (M.S.); (S.H.)
| | - Agmal Scherzad
- Department of Oto-Rhino-Laryngology, Plastic, Aesthetic & Reconstructive Head and Neck Surgery, University Hospital Würzburg, Josef-Schneider-Str. 11, 97080 Würzburg, Germany; (R.H.); (M.G.); (A.S.); (M.S.); (S.H.)
| | - Manuel Stöth
- Department of Oto-Rhino-Laryngology, Plastic, Aesthetic & Reconstructive Head and Neck Surgery, University Hospital Würzburg, Josef-Schneider-Str. 11, 97080 Würzburg, Germany; (R.H.); (M.G.); (A.S.); (M.S.); (S.H.)
| | - Edwin Ostertag
- Process Analysis and Technology (PA&T), School of Life Science, Reutlingen University, Alteburgstr. 150, 72762 Reutlingen, Germany; (M.C.B.); (M.K.); (A.M.); (E.O.)
| | - Maria Steinke
- Chair of Tissue Engineering and Regenerative Medicine, University Hospital Würzburg, Röntgenring 11, 97070 Würzburg, Germany;
- Fraunhofer Institute for Silicate Research ISC, Röntgenring 11, 97070 Würzburg, Germany
| | - Marc Brecht
- Process Analysis and Technology (PA&T), School of Life Science, Reutlingen University, Alteburgstr. 150, 72762 Reutlingen, Germany; (M.C.B.); (M.K.); (A.M.); (E.O.)
- Institute of Physical and Theoretical Chemistry, Faculty of Science, University of Tübingen, Auf der Morgenstelle 18, 72076 Tübingen, Germany
| | - Stephan Hackenberg
- Department of Oto-Rhino-Laryngology, Plastic, Aesthetic & Reconstructive Head and Neck Surgery, University Hospital Würzburg, Josef-Schneider-Str. 11, 97080 Würzburg, Germany; (R.H.); (M.G.); (A.S.); (M.S.); (S.H.)
| | - Till Jasper Meyer
- Department of Oto-Rhino-Laryngology, Plastic, Aesthetic & Reconstructive Head and Neck Surgery, University Hospital Würzburg, Josef-Schneider-Str. 11, 97080 Würzburg, Germany; (R.H.); (M.G.); (A.S.); (M.S.); (S.H.)
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Low QY, Liao HJ. Effects of Incorporated Emulsifiers Into Noodles on V-amylose Formation, Digestibility, and Structural Characteristics. PLANT FOODS FOR HUMAN NUTRITION (DORDRECHT, NETHERLANDS) 2023; 78:604-612. [PMID: 37646989 DOI: 10.1007/s11130-023-01096-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/19/2023] [Indexed: 09/01/2023]
Abstract
There is growing interest in developing low glycemic alternatives to starchy foods. In this study, two emulsifiers, namely sodium stearoyl lactylate and egg yolk, were incorporated into the formulation of noodles (EYN and SSLN), and their effects on V-amylose formation, digestibility and structural characteristics of the noodles were investigated. The emulsifiers facilitated V-amylose formation in the noodles, indicated by the complexing indices. The EYN and SSLN exhibited markedly high resistant starch contents compared to the control noodle. The logarithm of slope plot analysis showed that the EYN and SSLN had low first-phase rate constants compared to the control noodles, suggesting a barrier effect to digestive enzymes exerted by V-amylose. The SSLN and EYN displayed a mixture of B- and V-type patterns with higher crystallinities and two distinct spectral features of the bands at 2854 cm- 1 and 1746 cm- 1 compared to the control noodles. Polarized light micrographs of the SSLN and EYN exhibited vague contours of numerous irregularly shaped starch fragments with strong birefringence. These results suggest that forming V-amylose crystals in the SSLN and EYN was responsible for their increased resistance to digestion through reformulating emulsifiers in modifying their nutritional functionalities.
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Affiliation(s)
- Qi Yi Low
- Department of Food Science, National Chiayi University, No. 300 Syuefu Road, Chiayi City, 600355, Taiwan R.O.C
| | - Hung-Ju Liao
- Department of Food Science, National Chiayi University, No. 300 Syuefu Road, Chiayi City, 600355, Taiwan R.O.C..
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9
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Alkhuder K. Fourier-transform infrared spectroscopy: a universal optical sensing technique with auspicious application prospects in the diagnosis and management of autoimmune diseases. Photodiagnosis Photodyn Ther 2023; 42:103606. [PMID: 37187270 DOI: 10.1016/j.pdpdt.2023.103606] [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: 04/03/2023] [Revised: 04/27/2023] [Accepted: 05/09/2023] [Indexed: 05/17/2023]
Abstract
Autoimmune diseases (AIDs) are poorly understood clinical syndromes due to breakdown of immune tolerance towards specific types of self-antigens. They are generally associated with an inflammatory response mediated by lymphocytes T, autoantibodies or both. Ultimately, chronic inflammation culminates in tissue damages and clinical manifestations. AIDs affect 5% of the world population, and they represent the main cause of fatality in young to middle-aged females. In addition, the chronic nature of AIDs has a devastating impact on the patient's quality of life. It also places a heavy burden on the health care system. Establishing a rapid and accurate diagnosis is considered vital for an ideal medical management of these autoimmune disorders. However, for some AIDs, this task might be challenging. Vibrational spectroscopies, and more particularly Fourier-transform infrared (FTIR) spectroscopy, have emerged as universal analytical techniques with promising applications in the diagnosis of various types of malignancies and metabolic and infectious diseases. The high sensitivity of these optical sensing techniques and their minimal requirements for test reagents qualify them to be ideal analytical techniques. The aim of the current review is to explore the potential applications of FTIR spectroscopy in the diagnosis and management of most common AIDs. It also aims to demonstrate how this technique has contributed to deciphering the biochemical and physiopathological aspects of these chronic inflammatory diseases. The advantages that can be offered by this optical sensing technique over the traditional and gold standard methods used in the diagnosis of these autoimmune disorders have also been extensively discussed.
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10
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Dong L, Duan X, Bin L, Wang J, Gao Q, Sun X, Xu Y. Evaluation of Fourier transform infrared (FTIR) spectroscopy with multivariate analysis as a novel diagnostic tool for lymph node metastasis in gastric cancer. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 289:122209. [PMID: 36512961 DOI: 10.1016/j.saa.2022.122209] [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: 07/01/2022] [Revised: 11/16/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
Fourier transform infrared (FTIR) spectroscopy is a vibration spectroscopy that uses infrared radiation to vibrate to absorb the molecular bonds in its absorbed sample. The main purpose of this study was to evaluate FTIR spectroscopy as a novel diagnostic tool for lymph node metastasis (LNM) of gastric cancer. We collected 160 fresh non-metastatic and metastatic lymph nodes (80 each) from 60 patients with gastric cancer for spectral analysis. FTIR spectra of lymph node (LN) samples were obtained in the wavenumber range of 4000 cm-1 to 900 cm-1. We calculated the changes in the ratio of spectral intensity (/ I1460). Principal component analysis (PCA) and Fisher's discriminant analysis (FDA) were used to distinguish malignant from normal LN. Four significant bands at 1080 cm-1, 1640 cm-1, 1740 cm-1 and 3260 cm-1 separated metastatic and non-metastatic LN spectra into two distinct groups by PCA.T-tests showed that, along with the relative intensity ratios (I1080/I1460, I1640/I1460, I3260/I1460, I1740/I1460), these band ratios were also able to differentiate between malignant and benign LN spectra. Six parameters (P1080 cm-1, P1300 cm-1, I1080/I1460, I1640/I1460, I3260/I1460, I1740/I1460) were selected as independent factors to set up discriminant functions. The sensitivity of FTIR spectroscopy in diagnosing LNM was 95 % by discriminant analysis. Our study suggested that FTIR spectroscopy can be a useful tool to examine LNM with high sensitivity and specificity for LNM diagnosis. Therefore it can be used in clinical practice as a non-invasive method.
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Affiliation(s)
- Liu Dong
- Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Xianglong Duan
- Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Liu Bin
- Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Jianhua Wang
- Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Qiuying Gao
- Department of Haematology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China.
| | - Xuejun Sun
- Department of General Surgery, The First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.
| | - Yizhuang Xu
- College of Chemistry and Molecular Engineering, Peking University, Beijing, China
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11
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Connal S, Cameron JM, Sala A, Brennan PM, Palmer DS, Palmer JD, Perlow H, Baker MJ. Liquid biopsies: the future of cancer early detection. J Transl Med 2023; 21:118. [PMID: 36774504 PMCID: PMC9922467 DOI: 10.1186/s12967-023-03960-8] [Citation(s) in RCA: 48] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 02/01/2023] [Indexed: 02/13/2023] Open
Abstract
Cancer is a worldwide pandemic. The burden it imposes grows steadily on a global scale causing emotional, physical, and financial strains on individuals, families, and health care systems. Despite being the second leading cause of death worldwide, many cancers do not have screening programs and many people with a high risk of developing cancer fail to follow the advised medical screening regime due to the nature of the available screening tests and other challenges with compliance. Moreover, many liquid biopsy strategies being developed for early detection of cancer lack the sensitivity required to detect early-stage cancers. Early detection is key for improved quality of life, survival, and to reduce the financial burden of cancer treatments which are greater at later stage detection. This review examines the current liquid biopsy market, focusing in particular on the strengths and drawbacks of techniques in achieving early cancer detection. We explore the clinical utility of liquid biopsy technologies for the earlier detection of solid cancers, with a focus on how a combination of various spectroscopic and -omic methodologies may pave the way for more efficient cancer diagnostics.
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Affiliation(s)
- Siobhan Connal
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK ,grid.11984.350000000121138138Department of Pure and Applied Chemistry, Thomas Graham Building, University of Strathclyde, 295 Cathedral Street, Glasgow, G11XL UK
| | - James M. Cameron
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK
| | - Alexandra Sala
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK
| | - Paul M. Brennan
- grid.4305.20000 0004 1936 7988Translational Neurosurgery, Centre for Clinical Brain Sciences, 49 Little France Crescent, University of Edinburgh, Edinburgh, EH16 4BS UK
| | - David S. Palmer
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK ,grid.11984.350000000121138138Department of Pure and Applied Chemistry, Thomas Graham Building, University of Strathclyde, 295 Cathedral Street, Glasgow, G11XL UK
| | - Joshua D. Palmer
- grid.412332.50000 0001 1545 0811Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Haley Perlow
- grid.412332.50000 0001 1545 0811Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Matthew J. Baker
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK ,grid.11984.350000000121138138Department of Pure and Applied Chemistry, Thomas Graham Building, University of Strathclyde, 295 Cathedral Street, Glasgow, G11XL UK ,grid.7943.90000 0001 2167 3843School of Medicine, Faculty of Clinical and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE UK
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12
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Temperini ME, Di Giacinto F, Romanò S, Di Santo R, Augello A, Polito R, Baldassarre L, Giliberti V, Papi M, Basile U, Niccolini B, Krasnowska EK, Serafino A, De Spirito M, Di Gaspare A, Ortolani M, Ciasca G. Antenna-enhanced mid-infrared detection of extracellular vesicles derived from human cancer cell cultures. J Nanobiotechnology 2022; 20:530. [PMID: 36514065 PMCID: PMC9746222 DOI: 10.1186/s12951-022-01693-2] [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: 05/19/2022] [Accepted: 10/30/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Extracellular Vesicles (EVs) are sub-micrometer lipid-bound particles released by most cell types. They are considered a promising source of cancer biomarkers for liquid biopsy and personalized medicine due to their specific molecular cargo, which provides biochemical information on the state of parent cells. Despite this potential, EVs translation process in the diagnostic practice is still at its birth, and the development of novel medical devices for their detection and characterization is highly required. RESULTS In this study, we demonstrate mid-infrared plasmonic nanoantenna arrays designed to detect, in the liquid and dry phase, the specific vibrational absorption signal of EVs simultaneously with the unspecific refractive index sensing signal. For this purpose, EVs are immobilized on the gold nanoantenna surface by immunocapture, allowing us to select specific EV sub-populations and get rid of contaminants. A wet sample-handling technique relying on hydrophobicity contrast enables effortless reflectance measurements with a Fourier-transform infrared (FTIR) spectro-microscope in the wavelength range between 10 and 3 µm. In a proof-of-principle experiment carried out on EVs released from human colorectal adenocarcinoma (CRC) cells, the protein absorption bands (amide-I and amide-II between 5.9 and 6.4 µm) increase sharply within minutes when the EV solution is introduced in the fluidic chamber, indicating sensitivity to the EV proteins. A refractive index sensing curve is simultaneously provided by our sensor in the form of the redshift of a sharp spectral edge at wavelengths around 5 µm, where no vibrational absorption of organic molecules takes place: this permits to extract of the dynamics of EV capture by antibodies from the overall molecular layer deposition dynamics, which is typically measured by commercial surface plasmon resonance sensors. Additionally, the described metasurface is exploited to compare the spectral response of EVs derived from cancer cells with increasing invasiveness and metastatic potential, suggesting that the average secondary structure content in EVs can be correlated with cell malignancy. CONCLUSIONS Thanks to the high protein sensitivity and the possibility to work with small sample volumes-two key features for ultrasensitive detection of extracellular vesicles- our lab-on-chip can positively impact the development of novel laboratory medicine methods for the molecular characterization of EVs.
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Affiliation(s)
- Maria Eleonora Temperini
- grid.7841.aDepartment of Physics, Sapienza University of Rome, Piazzale Aldo Moro 2, 00185 Rome, Italy ,grid.25786.3e0000 0004 1764 2907Center for Life Neuro and Nano Sciences IIT@Sapienza, Istituto Italiano di Tecnologia, Viale Regina Elena 291, 00161 Rome, Italy
| | - Flavio Di Giacinto
- grid.414603.4Fondazione Policlinico Universitario “A. Gemelli”, IRCCS, Rome, Italy ,grid.8142.f0000 0001 0941 3192Dipartimento di Neuroscienze, Sezione di Fisica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Sabrina Romanò
- grid.414603.4Fondazione Policlinico Universitario “A. Gemelli”, IRCCS, Rome, Italy ,grid.8142.f0000 0001 0941 3192Dipartimento di Neuroscienze, Sezione di Fisica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Riccardo Di Santo
- grid.414603.4Fondazione Policlinico Universitario “A. Gemelli”, IRCCS, Rome, Italy
| | - Alberto Augello
- grid.414603.4Fondazione Policlinico Universitario “A. Gemelli”, IRCCS, Rome, Italy
| | - Raffaella Polito
- grid.7841.aDepartment of Physics, Sapienza University of Rome, Piazzale Aldo Moro 2, 00185 Rome, Italy
| | - Leonetta Baldassarre
- grid.7841.aDepartment of Physics, Sapienza University of Rome, Piazzale Aldo Moro 2, 00185 Rome, Italy
| | - Valeria Giliberti
- grid.25786.3e0000 0004 1764 2907Center for Life Neuro and Nano Sciences IIT@Sapienza, Istituto Italiano di Tecnologia, Viale Regina Elena 291, 00161 Rome, Italy
| | - Massimiliano Papi
- grid.414603.4Fondazione Policlinico Universitario “A. Gemelli”, IRCCS, Rome, Italy ,grid.8142.f0000 0001 0941 3192Dipartimento di Neuroscienze, Sezione di Fisica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Umberto Basile
- grid.414603.4Dipartimento di Scienze di Laboratorio e Infettivologiche, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy
| | - Benedetta Niccolini
- grid.8142.f0000 0001 0941 3192Dipartimento di Neuroscienze, Sezione di Fisica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Ewa K. Krasnowska
- grid.5326.20000 0001 1940 4177Institute of Translational Pharmacology, National Research Council of Italy, Rome, Italy
| | - Annalucia Serafino
- grid.5326.20000 0001 1940 4177Institute of Translational Pharmacology, National Research Council of Italy, Rome, Italy
| | - Marco De Spirito
- grid.414603.4Fondazione Policlinico Universitario “A. Gemelli”, IRCCS, Rome, Italy ,grid.8142.f0000 0001 0941 3192Dipartimento di Neuroscienze, Sezione di Fisica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Alessandra Di Gaspare
- grid.414603.4Fondazione Policlinico Universitario “A. Gemelli”, IRCCS, Rome, Italy ,grid.509494.5NEST, CNR-Istituto Nanoscienze and Scuola Normale Superiore, Piazza San Silvestro 12, 56127 Pisa, Italy
| | - Michele Ortolani
- grid.7841.aDepartment of Physics, Sapienza University of Rome, Piazzale Aldo Moro 2, 00185 Rome, Italy ,grid.25786.3e0000 0004 1764 2907Center for Life Neuro and Nano Sciences IIT@Sapienza, Istituto Italiano di Tecnologia, Viale Regina Elena 291, 00161 Rome, Italy
| | - Gabriele Ciasca
- grid.414603.4Fondazione Policlinico Universitario “A. Gemelli”, IRCCS, Rome, Italy ,grid.8142.f0000 0001 0941 3192Dipartimento di Neuroscienze, Sezione di Fisica, Università Cattolica del Sacro Cuore, Rome, Italy
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13
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Fast and Deep Diagnosis Using Blood-Based ATR-FTIR Spectroscopy for Digestive Tract Cancers. Biomolecules 2022; 12:biom12121815. [PMID: 36551243 PMCID: PMC9775374 DOI: 10.3390/biom12121815] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 11/24/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022] Open
Abstract
Attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) of liquid biofluids enables the probing of biomolecular markers for disease diagnosis, characterized as a time and cost-effective approach. It remains poorly understood for fast and deep diagnosis of digestive tract cancers (DTC) to detect abundant changes and select specific markers in a broad spectrum of molecular species. Here, we present a diagnostic protocol of DTC in which the in-situ blood-based ATR-FTIR spectroscopic data mining pathway was designed for the identification of DTC triages in 252 blood serum samples, divided into the following groups: liver cancer (LC), gastric cancer (GC), colorectal cancer (CC), and their different three stages respectively. The infrared molecular fingerprints (IMFs) of DTC were measured and used to build a 2-dimensional second derivative spectrum (2D-SD-IR) feature dataset for classification, including absorbance and wavenumber shifts of FTIR vibration peaks. By comparison, the Partial Least-Squares Discriminant Analysis (PLS-DA) and backpropagation (BP) neural networks are suitable to differentiate DTCs and pathological stages with a high sensitivity and specificity of 100% and averaged more than 95%. Furthermore, the measured IMF data was mutually validated via clinical blood biochemistry testing, which indicated that the proposed 2D-SD-IR-based machine learning protocol greatly improved DTC classification performance.
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14
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Santos LLD, Silva ATF, Ferreira ICC, Souza AV, Justino AB, Santos DW, Goulart LR, Paiva CE, Espíndola FS, Maia YCP. A Lower Serum Antioxidant Capacity as a Distinctive Feature for Women with HER2+ Breast Cancer: A Preliminary Study. Cancers (Basel) 2022; 14:cancers14235973. [PMID: 36497455 PMCID: PMC9739610 DOI: 10.3390/cancers14235973] [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: 10/28/2022] [Revised: 11/23/2022] [Accepted: 11/29/2022] [Indexed: 12/11/2022] Open
Abstract
The overexpression of HER2 in breast cancer (BC) can contribute to redox imbalance, which is related to damage and structural modification in many biomolecules. To the best of our knowledge, this is the first study that has investigated the infrared spectrum wavenumbers obtained by ATR-FTIR and their relationship with the levels of redox status markers such as reduced glutathione, superoxide dismutase (SOD), catalase, Ferric Reducing Antioxidant Power (FRAP), and protein carbonyl among women with HER2+ BC, HER2- BC, and benign breast disease (BBD). The study was conducted with 25 women, 17 of whom were diagnosed with BC (6 HER2+ and 11 HER2-) and 8 with BBD. Our results indicate HER2+ BC cases could be distinguished from HER2- BC and BBD cases by their serum's antioxidant capacity [HER2+ BC vs. HER2- BC (AUC = 0.818; specificity = 81.82%; sensitivity = 66.67%); HER2+ BC vs. BBD (AUC = 0.875; specificity = 75%; sensitivity = 83.33%)]. The changes in biochemical terms that occur in serum as a result of the scarcity of antioxidants are related to a peculiar fingerprint in the infrared spectrum obtained by ATR-FTIR. In the serum of women with BBD, the SOD enzyme level is the highest, and this characteristic allowed us to distinguish them from HER2- BC. Finally, data regarding the serological antioxidant capacity of FRAP and the infrared spectrum by ATR-FTIR will allow us to assess biochemical changes that occur before clinical signs, indicating whether changes in therapy or interventions are necessary.
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Affiliation(s)
- Letícia L. D. Santos
- Laboratory of Nanobiotechnology Luiz Ricardo Goulart Filho, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia 38402-022, Brazil
- Molecular Biology and Nutrition Research Group (BioNut), School of Medicine, Federal University of Uberlandia, Uberlandia 38405-320, Brazil
| | - Alinne T. F. Silva
- Laboratory of Nanobiotechnology Luiz Ricardo Goulart Filho, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia 38402-022, Brazil
- Molecular Biology and Nutrition Research Group (BioNut), School of Medicine, Federal University of Uberlandia, Uberlandia 38405-320, Brazil
| | - Izabella C. C. Ferreira
- Laboratory of Nanobiotechnology Luiz Ricardo Goulart Filho, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia 38402-022, Brazil
- Molecular Biology and Nutrition Research Group (BioNut), School of Medicine, Federal University of Uberlandia, Uberlandia 38405-320, Brazil
| | - Adriele V. Souza
- Laboratory of Biochemistry and Molecular Biology, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia 38405-302, Brazil
| | - Allisson B. Justino
- Laboratory of Biochemistry and Molecular Biology, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia 38405-302, Brazil
| | - Donizeti W. Santos
- Gynecologic Division, University Hospital, Federal University of Uberlandia, Uberlandia 38405-320, Brazil
| | - Luiz Ricardo Goulart
- Laboratory of Nanobiotechnology Luiz Ricardo Goulart Filho, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia 38402-022, Brazil
| | - Carlos Eduardo Paiva
- Palliative Care and Quality of Life Research Group (GPQual), Learning and Research Institute, Barretos Cancer Hospital, Barretos 14784-400, Brazil
| | - Foued S. Espíndola
- Laboratory of Biochemistry and Molecular Biology, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia 38405-302, Brazil
| | - Yara C. P. Maia
- Laboratory of Nanobiotechnology Luiz Ricardo Goulart Filho, Institute of Biotechnology, Federal University of Uberlandia, Uberlandia 38402-022, Brazil
- Molecular Biology and Nutrition Research Group (BioNut), School of Medicine, Federal University of Uberlandia, Uberlandia 38405-320, Brazil
- Correspondence:
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15
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Xue M, Ye S, Ma X, Ye F, Wang C, Zhu L, Yang Y, Chen J. Single-Vesicle Infrared Nanoscopy for Noninvasive Tumor Malignancy Diagnosis. J Am Chem Soc 2022; 144:20278-20287. [DOI: 10.1021/jacs.2c07393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Mengfei Xue
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Siyuan Ye
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory of Biological Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Xiaopeng Ma
- The First Affiliated Hospital University of Science and Technology of China, Anhui Provincial Hospital, Hefei, Anhui 230000, China
| | - Fangfu Ye
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Oujiang Laboratory, Wenzhou, Zhejiang 325000, China
| | - Chen Wang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory of Biological Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ling Zhu
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory of Biological Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanlian Yang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory of Biological Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianing Chen
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Songshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China
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16
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Alcántara-Quintana LE, López-Mendoza CM, Rodríguez-Aguilar M, Medellín-Castillo N, Mizaikoff B, Flores-Ramírez R, Galván-Romero VS, Díaz de León-Martínez L. One-Drop Serum Screening Test for Anal Cancer in Men via Infrared Attenuated Total Reflection Spectroscopy. Anal Chem 2022; 94:15250-15260. [PMID: 36197692 DOI: 10.1021/acs.analchem.2c02439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Rare cancers are a challenge for clinical practice, the treatment experience at major centers to which rare cancers are referred is limited and are the most difficult to diagnose. Research to identify causes or develop prevention and early detection strategies is extremely challenging. Anal cancer is an example of a rare cancer, with the human papillomavirus (HPV) infection being the most important risk factor associated. In the early stages, anal cancer does not exhibit evident symptoms. This disease is diagnosed by means of anoscopy, which diagnoses some cases of early cancer; nevertheless, sensitivity of this test ranges between 47 and 89%. Therefore, the development of new, effective, and evidence-based screening methodologies for the early detection of rare cancers is of great relevance. In this study, the potential of ATR-FTIR spectroscopy has been explored as a sensitive, nondestructive, and inexpensive analytical method for developing disease screening platforms in serum. Spectral differences were found in the regions of 1700-1100 and 1700-1400 cm-1 between the control group and the anal cancer group related to the presence of proteins and nucleic acids. The chemometric analysis presented differences in the spectral fingerprints for both spectral regions with a high sensitivity ranging from 95.2 to 99.9% and a specificity ranging from 99.2 to 100%. This is the first step that we report for a methodology that is fast, nondestructive, and easy to perform, and the high sensitivity and specificity of the method are the basis for extensive research studies to implement these technologies in the clinical field.
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Affiliation(s)
- Luz Eugenia Alcántara-Quintana
- Unidad de Innovación en Diagnóstico Celular y Molecular, Coordinación para la Innovación y la Aplicación de la Ciencia y Tecnología, Universidad Autónoma de San Luis, Potosí Av. Sierra Leona 550, Lomas 2a sección, 78120San Luis Potosí, México
| | - Carlos Miguel López-Mendoza
- Unidad de Innovación en Diagnóstico Celular y Molecular, Coordinación para la Innovación y la Aplicación de la Ciencia y Tecnología, Universidad Autónoma de San Luis, Potosí Av. Sierra Leona 550, Lomas 2a sección, 78120San Luis Potosí, México
| | - Maribel Rodríguez-Aguilar
- Departamento de Farmacia, División de Ciencias de la Salud, Universidad de Quintana Roo, Quintana Roo, Mexico Av. Erick Paolo Martínez S/N, Magisterial, 17 de Octubre, 77039Chetumal, Q.R., México
| | - Nahum Medellín-Castillo
- Centro de Investigación y Estudios de Posgrado, Facultad de Ingeniería, Universidad Autónoma de San Luis Potosí, Dr. Manuel Nava No. 8 Colonia Zona Universitaria Poniente, San Luis Potosí, SLP78290, México
| | - Boris Mizaikoff
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081Ulm, Germany.,Hahn-Schickard, Sedanstrasse 14, 89077Ulm, Germany
| | - Rogelio Flores-Ramírez
- Centro de Investigación Aplicada en Ambiente y Salud (CIAAS), Avenida Sierra Leona No. 550, 78210Colonia Lomas Segunda Sección, San Luis Potosí, SLP, México.,CONACYT Research Fellow, Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología (CIACYT), Avenida Sierra Leona No. 550, 78210Colonia Lomas Segunda Sección, San Luis Potosí, SLP, México
| | - Vanessa Sarahí Galván-Romero
- Unidad de Innovación en Diagnóstico Celular y Molecular, Coordinación para la Innovación y la Aplicación de la Ciencia y Tecnología, Universidad Autónoma de San Luis, Potosí Av. Sierra Leona 550, Lomas 2a sección, 78120San Luis Potosí, México
| | - Lorena Díaz de León-Martínez
- LABINNOVA Inc., Research Center for Early Diseases Screening, Susana Gómez Palafox, No. 5505, Colonia Paseos del Sol, 45079Zapopan, Jalisco, México
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17
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Suleiman M, Abu-Aqil G, Sharaha U, Riesenberg K, Lapidot I, Salman A, Huleihel M. Infra-red spectroscopy combined with machine learning algorithms enables early determination of Pseudomonas aeruginosa's susceptibility to antibiotics. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 274:121080. [PMID: 35248858 DOI: 10.1016/j.saa.2022.121080] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 06/14/2023]
Abstract
Pseudomonas (P.) aeruginosa is a bacterium responsible for severe infections that have become a real concern in hospital environments. Nosocomial infections caused by P. aeruginosa are often hard to treat because of its intrinsic resistance and remarkable ability to acquire further resistance mechanisms to multiple groups of antimicrobial agents. Thus, rapid determination of the susceptibility of P. aeruginosa isolates to antibiotics is crucial for effective treatment. The current methods used for susceptibility determination are time-consuming; hence the importance of developing a new method. Fourier-transform infra-red (FTIR) spectroscopy is known as a rapid and sensitive diagnostic tool, with the ability to detect minor abnormal molecular changes including those associated with the development of antibiotic- resistant bacteria. The main goal of this study is to evaluate the potential of FTIR spectroscopy together with machine learning algorithms, to determine the susceptibility of P. aeruginosa to different antibiotics in a time span of ∼20 min after the first culture. For this goal, 590 isolates of P. aeruginosa, obtained from different infection sites of various patients, were measured by FTIR spectroscopy and analyzed by machine learning algorithms. We have successfully determined the susceptibility of P. aeruginosa to various antibiotics with an accuracy of 82-90%.
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Affiliation(s)
- Manal Suleiman
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - George Abu-Aqil
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - Uraib Sharaha
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | | | - Itshak Lapidot
- Department of Electrical and Electronics Engineering, ACLP-Afeka Center for Language Processing, Afeka Tel-Aviv Academic College of Engineering, Tel-Aviv 69107, Israel
| | - Ahmad Salman
- Department of Physics, SCE - Shamoon College of Engineering, Beer-Sheva 84100, Israel.
| | - Mahmoud Huleihel
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
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Ex Vivo Vibration Spectroscopic Analysis of Colorectal Polyps for the Early Diagnosis of Colorectal Carcinoma. Diagnostics (Basel) 2021; 11:diagnostics11112048. [PMID: 34829393 PMCID: PMC8621094 DOI: 10.3390/diagnostics11112048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 10/25/2021] [Accepted: 10/31/2021] [Indexed: 02/01/2023] Open
Abstract
Colorectal cancer is one of the most common and often fatal cancers in humans, but it has the highest chance of a cure if detected at an early precancerous stage. Carcinogenesis in the colon begins as an uncontrolled growth forming polyps. Some of these polyps can finally be converted to colon cancer. Early diagnosis of adenomatous polyps is the main approach for screening and preventing colorectal cancer, and vibration spectroscopy can be used for this purpose. This work is focused on evaluating FTIR and Raman spectroscopy as a tool in the ex vivo analysis of colorectal polyps, which could be important for the early diagnosis of colorectal carcinoma. Multivariate analyses (PCA and LDA) were used to assist the spectroscopic discrimination of normal colon tissue, as well as benign and malignant colon polyps. The spectra demonstrated evident differences in the characteristic bands of the main tissue constituents, i.e., proteins, nucleic acids, lipids, polysaccharides, etc. Suitable models for discriminating the three mentioned diagnostic groups were proposed based on multivariate analyses of the spectroscopic data. LDA classification was especially successful in the case of a combined set of 55 variables from the FTIR, FT Raman and dispersion Raman spectra. This model can be proposed for ex vivo colorectal cancer diagnostics in combination with the colonoscopic extraction of colon polyps for further testing. This pilot study is a precursor for the further evaluation of the diagnostic potential for the simultaneous in vivo application of colonoscopic Raman probes.
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Mabwa D, Gajjar K, Furniss D, Schiemer R, Crane R, Fallaize C, Martin-Hirsch PL, Martin FL, Kypraios T, Seddon AB, Phang S. Mid-infrared spectral classification of endometrial cancer compared to benign controls in serum or plasma samples. Analyst 2021; 146:5631-5642. [PMID: 34378554 DOI: 10.1039/d1an00833a] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
This study demonstrates a discrimination of endometrial cancer versus (non-cancerous) benign controls based on mid-infrared (MIR) spectroscopy of dried plasma or serum liquid samples. A detailed evaluation was performed using four discriminant methods (LDA, QDA, kNN or SVM) to execute the classification task. The discriminant methods used in the study comprised methods that are widely used in the statistics (LDA and QDA) and machine learning literature (kNN and SVM). Of particular interest, is the impact of discrimination when presented with spectral data from a section of the bio-fingerprint region (1430 cm-1 to 900 cm-1) in contrast to the more extended bio-fingerprint region used here (1800 cm-1 to 900 cm-1). Quality metrics used were the misclassification rate, sensitivity, specificity, and Matthew's correlation coefficient (MCC). For plasma (with spectral data ranging from 1430 cm-1 to 900 cm-1), the best performing classifier was kNN, which achieved a sensitivity, specificity and MCC of 0.865 ± 0.043, 0.865 ± 0.023 and 0.762 ± 0.034, respectively. For serum (in the same wavenumber range), the best performing classifier was LDA, achieving a sensitivity, specificity and MCC of 0.899 ± 0.023, 0.763 ± 0.048 and 0.664 ± 0.067, respectively. For plasma (with spectral data ranging from 1800 cm-1 to 900 cm-1), the best performing classifier was SVM, with a sensitivity, specificity and MCC of 0.993 ± 0.010, 0.815 ± 0.000 and 0.815 ± 0.010, respectively. For serum (in the same wavenumber range), QDA performed best achieving a sensitivity, specificity and MCC of 0.852 ± 0.023, 0.700 ± 0.162 and 0.557 ± 0.012, respectively. Our findings demonstrate that even when a section of the bio-fingerprint region has been removed, good classification of endometrial cancer versus non-cancerous controls is still maintained. These findings suggest the potential of a MIR screening tool for endometrial cancer screening.
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Affiliation(s)
- David Mabwa
- Mid-Infrared Photonics Group, George Green Institute for Electromagnetics' Research, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK.
| | - Ketankumar Gajjar
- Obstetrics and Gynaecology, Nottingham University Hospitals NHS Trust - City Campus, Nottingham City Hospital, Hucknall Road, Nottingham, NG5 1PB, UK
| | - David Furniss
- Mid-Infrared Photonics Group, George Green Institute for Electromagnetics' Research, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK.
| | - Roberta Schiemer
- Obstetrics and Gynaecology, Nottingham University Hospitals NHS Trust - City Campus, Nottingham City Hospital, Hucknall Road, Nottingham, NG5 1PB, UK
| | - Richard Crane
- Mid-Infrared Photonics Group, George Green Institute for Electromagnetics' Research, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK.
| | - Christopher Fallaize
- School of Mathematical Sciences, The Mathematical Sciences Building, University Park, University of Nottingham, NG7 2RD, UK
| | | | | | - Theordore Kypraios
- School of Mathematical Sciences, The Mathematical Sciences Building, University Park, University of Nottingham, NG7 2RD, UK
| | - Angela B Seddon
- Mid-Infrared Photonics Group, George Green Institute for Electromagnetics' Research, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK.
| | - Sendy Phang
- Mid-Infrared Photonics Group, George Green Institute for Electromagnetics' Research, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK.
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20
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Kochan K, Bedolla DE, Perez-Guaita D, Adegoke JA, Chakkumpulakkal Puthan Veettil T, Martin M, Roy S, Pebotuwa S, Heraud P, Wood BR. Infrared Spectroscopy of Blood. APPLIED SPECTROSCOPY 2021; 75:611-646. [PMID: 33331179 DOI: 10.1177/0003702820985856] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
The magnitude of infectious diseases in the twenty-first century created an urgent need for point-of-care diagnostics. Critical shortages in reagents and testing kits have had a large impact on the ability to test patients with a suspected parasitic, bacteria, fungal, and viral infections. New point-of-care tests need to be highly sensitive, specific, and easy to use and provide results in rapid time. Infrared spectroscopy, coupled to multivariate and machine learning algorithms, has the potential to meet this unmet demand requiring minimal sample preparation to detect both pathogenic infectious agents and chronic disease markers in blood. This focal point article will highlight the application of Fourier transform infrared spectroscopy to detect disease markers in blood focusing principally on parasites, bacteria, viruses, cancer markers, and important analytes indicative of disease. Methodologies and state-of-the-art approaches will be reported and potential confounding variables in blood analysis identified. The article provides an up to date review of the literature on blood diagnosis using infrared spectroscopy highlighting the recent advances in this burgeoning field.
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Affiliation(s)
- Kamila Kochan
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Diana E Bedolla
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - David Perez-Guaita
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - John A Adegoke
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | | | - Miguela Martin
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Supti Roy
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Savithri Pebotuwa
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Philip Heraud
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Bayden R Wood
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
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21
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Pinto GC, Leal LB, Magalhães NC, Pereira MF, Vassallo PF, Pereira TM, Barauna VG, Byrne HJ, Carvalho LFCS. The potential of FT-IR spectroscopy for improving healthcare in sepsis - An animal model study. Photodiagnosis Photodyn Ther 2021; 34:102312. [PMID: 33930577 DOI: 10.1016/j.pdpdt.2021.102312] [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: 11/21/2020] [Revised: 04/07/2021] [Accepted: 04/23/2021] [Indexed: 11/25/2022]
Abstract
Fourier Transform-Infrared (FT-IR) absorption spectroscopy has been used to investigate pathophysiological changes caused by sepsis. Sepsis has been defined as a potentially fatal organic dysfunction caused by a dysregulated host response to infection and can lead a patient to risk of death. This study used samples consisting of the blood plasma of mice which were induced to sepsis state, compared to a healthy group using FT-IR associated with attenuated total reflectance (ATR) spectroscopy. For statistical analysis, principal components analysis (PCA) and linear discriminant analysis (LDA) were applied, independently, to the second derivative spectra of both the fingerprint (900-1800 cm-1) and the high wavenumber (2800-3100 cm-1) regions. The technique efficiently differentiated the blood plasma of the two groups, sepsis and healthy mice, the analysis indicating that fatty acids and lipids in the blood samples could be an important biomarker of sepsis.
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Affiliation(s)
- G C Pinto
- Post Graduation Program in Physiological Sciences, Federal University of Espírito Santo, Marechal Campos Ave, 1468, Maruípe, 29040-090, Vitória, Espírito Santo, Brazil
| | - L B Leal
- Post Graduation Program in Physiological Sciences, Federal University of Espírito Santo, Marechal Campos Ave, 1468, Maruípe, 29040-090, Vitória, Espírito Santo, Brazil.
| | - N C Magalhães
- Universidade de Taubaté. R. dos Operários, 09 - Centro, Taubaté, SP, 12020-340, Brazil
| | - M F Pereira
- Post Graduation Program in Physiological Sciences, Federal University of Espírito Santo, Marechal Campos Ave, 1468, Maruípe, 29040-090, Vitória, Espírito Santo, Brazil
| | - P F Vassallo
- Post Graduation Program in Physiological Sciences, Federal University of Espírito Santo, Marechal Campos Ave, 1468, Maruípe, 29040-090, Vitória, Espírito Santo, Brazil; Clinical Hospital, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - T M Pereira
- Universidade Federal do Estado de São Paulo. R. Talim, 330 - Vila Nair, São José dos Campos, SP, 12231-0, Brazil
| | - V G Barauna
- Department of Physiological Sciences, Federal University of Espírito Santo (UFES), Marechal Campos Ave, 1468, Maruípe, 29040-090, Vitória, Espírito Santo, Brazil
| | - H J Byrne
- FOCAS Research Institute, Technological University Dublin, Kevin Street, Dublin 8, Ireland
| | - L F C S Carvalho
- Universidade de Taubaté. R. dos Operários, 09 - Centro, Taubaté, SP, 12020-340, Brazil; Centro Universitário Braz Cubas. Av. Francisco Rodrigues Filho, 1233 - Vila Mogilar, Mogi das Cruzes, SP, 08773-380, Brazil
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22
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Bogomolov A, Sakharova T, Usenov I, Mizaikoff C, Belikova V, Perevoschikov S, Artyushenko V, Bibikova O. Fiber Probe for Simultaneous Mid-Infrared and Fluorescence Spectroscopic Analysis. Anal Chem 2021; 93:6013-6018. [PMID: 33821623 DOI: 10.1021/acs.analchem.1c00080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
A multispectral fiber optic probe has been developed that enables simultaneous analysis of various liquid and solid samples using attenuated total reflection mid-infrared spectroscopy and fluorimetry. The probe design was optimized using ray-tracing simulation of the light propagation. Technical evaluation of the probe has confirmed its output signal quality that was comparable to that of respective probes for single methods. The capability of the probe to deliver complementary chemical information from the same measurement point has been illustrated using model samples of biological tissue. Qualitative analysis of the biological tissue is one of the most important applications of the developed multispectral probe.
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Affiliation(s)
- Andrey Bogomolov
- Samara State Technical University, Molodogvardeyskaya 244, 443100 Samara, Russia
| | | | - Iskander Usenov
- art photonics GmbH, Rudower Chaussee 46, Berlin 12489, Germany.,Technische Universität Berlin, Institute of Optics and Atomic Physics, Straße des 17, Juni 135, 10623 Berlin, Germany
| | | | - Valeria Belikova
- Samara State Technical University, Molodogvardeyskaya 244, 443100 Samara, Russia
| | - Stanislav Perevoschikov
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Building 1, Moscow 121205, Russia
| | | | - Olga Bibikova
- art photonics GmbH, Rudower Chaussee 46, Berlin 12489, Germany
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23
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Discrimination of malignant from benign thyroid lesions through neural networks using FTIR signals obtained from tissues. Anal Bioanal Chem 2021; 413:2163-2180. [PMID: 33569645 DOI: 10.1007/s00216-021-03183-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 01/11/2021] [Accepted: 01/18/2021] [Indexed: 10/22/2022]
Abstract
The current gold standard in cancer diagnosis-the microscopic examination of hematoxylin and eosin (H&E)-stained biopsies-is prone to bias since it greatly relies on visual examination. Hence, there is a need to develop a more sensitive and specific method for diagnosing cancer. Here, Fourier transform infrared (FTIR) spectroscopy of thyroid tumors (n = 164; 76 malignant, 88 benign) was performed and five (5) neural network (NN) models were designed to discriminate the obtained spectral data. PCA-LDA was used as classical benchmark for comparison. Each NN model was evaluated using a stratified 10-fold cross-validation method to avoid overfitting, and the performance metrics-accuracy, area under the curve (AUC), positive predictive value (PPV), negative predictive value (NPV), specificity rate (SR), and recall rate (RR)-were averaged for comparison. All NN models were able to perform excellently as classifiers, and all were able to surpass the LDA model in terms of accuracy. Among the NN models, the RNN model performed best, having an AUC of 95.29% ± 6.08%, an accuracy of 98.06% ± 2.87%, a PPV of 98.57% ± 4.52%, a NPV of 93.18% ± 7.93%, a SR value of 98.89% ± 3.51%, and a RR value of 91.25% ± 10.29%. The RNN model outperformed the LDA model for all metrics except for the AUC, NPV, and RR. In conclusion, NN-based tools were able to predict thyroid cancer based on infrared spectroscopy of tissues with a high level of diagnostic performance in comparison to the gold standard.
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24
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Wang R, Wang Y. Fourier Transform Infrared Spectroscopy in Oral Cancer Diagnosis. Int J Mol Sci 2021; 22:1206. [PMID: 33530491 PMCID: PMC7865696 DOI: 10.3390/ijms22031206] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/19/2021] [Accepted: 01/21/2021] [Indexed: 12/13/2022] Open
Abstract
Oral cancer is one of the most common cancers worldwide. Despite easy access to the oral cavity and significant advances in treatment, the morbidity and mortality rates for oral cancer patients are still very high, mainly due to late-stage diagnosis when treatment is less successful. Oral cancer has also been found to be the most expensive cancer to treat in the United States. Early diagnosis of oral cancer can significantly improve patient survival rate and reduce medical costs. There is an urgent unmet need for an accurate and sensitive molecular-based diagnostic tool for early oral cancer detection. Fourier transform infrared spectroscopy has gained increasing attention in cancer research due to its ability to elucidate qualitative and quantitative information of biochemical content and molecular-level structural changes in complex biological systems. The diagnosis of a disease is based on biochemical changes underlying the disease pathology rather than morphological changes of the tissue. It is a versatile method that can work with tissues, cells, or body fluids. In this review article, we aim to summarize the studies of infrared spectroscopy in oral cancer research and detection. It provides early evidence to support the potential application of infrared spectroscopy as a diagnostic tool for oral potentially malignant and malignant lesions. The challenges and opportunities in clinical translation are also discussed.
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Affiliation(s)
| | - Yong Wang
- School of Dentistry, University of Missouri–Kansas City, Kansas City, MO 64108, USA;
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25
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Synergy Effect of Combined Near and Mid-Infrared Fibre Spectroscopy for Diagnostics of Abdominal Cancer. SENSORS 2020; 20:s20226706. [PMID: 33238646 PMCID: PMC7700420 DOI: 10.3390/s20226706] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 11/15/2020] [Accepted: 11/19/2020] [Indexed: 12/12/2022]
Abstract
Cancers of the abdominal cavity comprise one of the most prevalent forms of cancers, with the highest contribution from colon and rectal cancers (12% of the human population), followed by stomach cancers (4%). Surgery, as the preferred choice of treatment, includes the selection of adequate resection margins to avoid local recurrences due to minimal residual disease. The presence of functionally vital structures can complicate the choice of resection margins. Spectral analysis of tissue samples in combination with chemometric models constitutes a promising approach for more efficient and precise tumour margin identification. Additionally, this technique provides a real-time tumour identification approach not only for intraoperative application but also during endoscopic diagnosis of tumours in hollow organs. The combination of near-infrared and mid-infrared spectroscopy has advantages compared to individual methods for the clinical implementation of this technique as a diagnostic tool.
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26
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Wang Q, Mao N, Liu M, Shi Y, Ma H, Dong J, Zhang X, Duan S, Wang B, Xie H. Radiomic analysis on magnetic resonance diffusion weighted image in distinguishing triple-negative breast cancer from other subtypes: a feasibility study. Clin Imaging 2020; 72:136-141. [PMID: 33242692 DOI: 10.1016/j.clinimag.2020.11.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 09/02/2020] [Accepted: 11/12/2020] [Indexed: 12/15/2022]
Abstract
PURPOSE This work aimed to explore whether radiomic features on magnetic resonance diffusion weighted image (MR DWI) can be used to identify triple-negative breast cancer (TNBC) and other subtypes (non-TNBC). MATERIALS AND METHODS This retrospective study included 221 unilateral patients who underwent breast MR imaging prior to neoadjuvant chemotherapy. The subtypes of breast cancer include luminal A (n = 63), luminal B (n = 103), human epidermal growth factor receptor-2 (HER2) overexpressing (n = 30), and triple negative (n = 25). Radiomic features were extracted using Omini-Kinetic software on DWI. Student's t-test and Mann-Whitney U test were used to compare the features between TNBC and non-TNBC patients. Logistic regression analysis and receiver operating characteristic (ROC) curve were used to evaluate the diagnostic efficiency of radiomic features. The Fisher discriminant model was employed to distinguish TNBC and non-TNBC patients automatically. An additional validation dataset with 169 patients was utilized to validate the model. RESULTS A total of 76 imaging features were extracted from each lesion on DWI images, and 12 radiomic features were statistically significant between TNBC and non-TNBC patients (P < 0.05). The area of receiver operating characteristic curve (AUC) was 0.817 to apply logistic regression analysis. The accuracy of Fisher discriminant model in distinguishing TNBC and non-TNBC patients was 95.4%, and leave-one-out cross validation was achieved with an accuracy of 83.7%. The same classification analysis of the validation dataset showed an accuracy of 83.4% and an AUC of 0.804. CONCLUSION Breast lesions exhibit differences in radiomic features from DWI, enabling good discrimination between TNBC and non-TNBC tumors.
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Affiliation(s)
- Qinglin Wang
- Department of Radiology, Yantai Yuhuangding Hospital, QingDao University School of Medicine, Yantai, Shandong 264000, PR China
| | - Ning Mao
- Department of Radiology, Yantai Yuhuangding Hospital, QingDao University School of Medicine, Yantai, Shandong 264000, PR China
| | - Meijie Liu
- Institute of medical imaging, Binzhou Medical University, Yantai, Shandong 264000, PR China
| | - Yinghong Shi
- Department of Radiology, Yantai Yuhuangding Hospital, QingDao University School of Medicine, Yantai, Shandong 264000, PR China
| | - Heng Ma
- Department of Radiology, Yantai Yuhuangding Hospital, QingDao University School of Medicine, Yantai, Shandong 264000, PR China
| | - Jianjun Dong
- Department of Radiology, Yantai Yuhuangding Hospital, QingDao University School of Medicine, Yantai, Shandong 264000, PR China
| | | | | | - Bin Wang
- Institute of medical imaging, Binzhou Medical University, Yantai, Shandong 264000, PR China.
| | - Haizhu Xie
- Department of Radiology, Yantai Yuhuangding Hospital, QingDao University School of Medicine, Yantai, Shandong 264000, PR China.
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27
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Malonek D, Dekel BZ, Haran G, Reens-Carmel R, Groisman GM, Hallak M, Bruchim I. Rapid intraoperative diagnosis of gynecological cancer by ATR-FTIR spectroscopy of fresh tissue biopsy. JOURNAL OF BIOPHOTONICS 2020; 13:e202000114. [PMID: 32463546 DOI: 10.1002/jbio.202000114] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 05/25/2020] [Accepted: 05/26/2020] [Indexed: 06/11/2023]
Abstract
A rapid and reliable intraoperative diagnostic technique to support clinical decisions was developed using Fourier-transform infrared (FTIR) spectroscopy. Twenty-six fresh tissue samples were collected intraoperatively from patients undergoing gynecological surgeries. Frozen section (FS) histopathology aimed to discriminate between malignant and benign tumors was performed, and attenuated total reflection (ATR) FTIR spectra were collected from these samples. Digital dehydration and principal component analysis and linear discriminant analysis (PCA-LDA) models were developed to classify samples into malignant and benign groups. Two validation schemes were employed: k-fold and "leave one out." FTIR absorption spectrum of a fresh tissue sample was obtained in less than 5 minutes. The fingerprint spectral region of malignant tumors was consistently different from that of benign tumors. The PCA-LDA discrimination model correctly classified the samples into malignant and benign groups with accuracies of 96% and 93% for the k-fold and "leave one out" validation schemes, respectively. We showed that a simple tissue preparation followed by ATR-FTIR spectroscopy provides accurate means for very rapid tumor classification into malignant and benign gynecological tumors. With further development, the proposed method has high potential to be used as an adjunct to the intraoperative FS histopathology technique.
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Affiliation(s)
- Dov Malonek
- Ruppin Academic Center, Department of Electrical and Computer Engineering, Emek-Hefer, Israel
| | - Ben-Zion Dekel
- Ruppin Academic Center, Department of Electrical and Computer Engineering, Emek-Hefer, Israel
| | - Gabi Haran
- Gynecologic Oncology Division, Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel
- Technion Israel Institute of Technology, Haifa, Israel
| | - Renat Reens-Carmel
- Gynecologic Oncology Division, Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel
- Technion Israel Institute of Technology, Haifa, Israel
| | - Gabriel M Groisman
- Department of Pathology, Hillel Yaffe Medical Center, Hadera, Israel
- Technion Israel Institute of Technology, Haifa, Israel
| | - Mordechai Hallak
- Gynecologic Oncology Division, Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel
- Technion Israel Institute of Technology, Haifa, Israel
| | - Ilan Bruchim
- Gynecologic Oncology Division, Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center, Hadera, Israel
- Technion Israel Institute of Technology, Haifa, Israel
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28
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Popescu MC, Constantinescu R, Padureanu SS. 2D IR correlation spectroscopy and chemometric methods in gastric cancer diagnosis. J Mol Struct 2020. [DOI: 10.1016/j.molstruc.2020.128211] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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29
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Bangaoil R, Santillan A, Angeles LM, Abanilla L, Lim A, Ramos MC, Fellizar A, Guevarra L, Albano PM. ATR-FTIR spectroscopy as adjunct method to the microscopic examination of hematoxylin and eosin-stained tissues in diagnosing lung cancer. PLoS One 2020; 15:e0233626. [PMID: 32469931 PMCID: PMC7259682 DOI: 10.1371/journal.pone.0233626] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 05/10/2020] [Indexed: 12/24/2022] Open
Abstract
Lung cancer remains the leading cause of cancer-related death worldwide. Since prognosis and treatment outcomes rely on fast and accurate diagnosis, there is a need for more cost-effective, sensitive, and specific method for lung cancer detection. Thus, this study aimed to determine the ability of ATR-FTIR in discriminating malignant from benign lung tissues and evaluate its concordance with H&E staining. Three (3) 5μm-thick sections were cut from formalin fixed paraffin embedded (FFPE) cell or tissue blocks from patients with lung lesions. The outer sections were H&E-stained and sent to two (2) pathologists to confirm the histopathologic diagnosis. The inner section was deparaffinized by standard xylene method and then subjected to ATR-FTIR analysis. Distinct spectral profiles that distinguished (p<0.05) one sample from another, called the "fingerprint region", were observed in five (5) peak patterns representing the amides, lipids, and nucleic acids. Principal component analysis and hierarchical cluster analysis evidently clustered the benign from malignant tissues. ATR-FTIR showed 97.73% sensitivity, 92.45% specificity, 94.85% accuracy, 91.49% positive predictive value and 98.00% negative predictive value in discriminating benign from malignant lung tissue. Further, strong agreement was observed between histopathologic readings and ATR-FTIR analysis. This study shows the potential of ATR-FTIR spectroscopy as a potential adjunct method to the gold standard, the microscopic examination of hematoxylin and eosin (H&E)-stained tissues, in diagnosing lung cancer.
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Affiliation(s)
- Ruth Bangaoil
- The Graduate School, University of Santo Tomas, Manila, Philippines
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines
- University of Santo Tomas Hospital, Manila, Philippines
| | - Abegail Santillan
- The Graduate School, University of Santo Tomas, Manila, Philippines
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines
| | - Lara Mae Angeles
- University of Santo Tomas Hospital, Manila, Philippines
- Faculty of Medicine and Surgery, University of Santo Tomas, Manila, Philippines
| | - Lorenzo Abanilla
- Divine Word Hospital, Tacloban City, Northern Leyte, Philippines
| | - Antonio Lim
- Divine Word Hospital, Tacloban City, Northern Leyte, Philippines
| | - Ma. Cristina Ramos
- The Graduate School, University of Santo Tomas, Manila, Philippines
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines
- Mariano Marcos Memorial Hospital and Medical Center, Ilocos Norte, Philippines
| | - Allan Fellizar
- The Graduate School, University of Santo Tomas, Manila, Philippines
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines
- College of Science, University of Santo Tomas, Manila, Philippines
| | - Leonardo Guevarra
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines
- Faculty of Pharmacy, University of Santo Tomas, Manila, Philippines
| | - Pia Marie Albano
- The Graduate School, University of Santo Tomas, Manila, Philippines
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines
- Mariano Marcos Memorial Hospital and Medical Center, Ilocos Norte, Philippines
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30
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Su KY, Lee WL. Fourier Transform Infrared Spectroscopy as a Cancer Screening and Diagnostic Tool: A Review and Prospects. Cancers (Basel) 2020; 12:E115. [PMID: 31906324 PMCID: PMC7017192 DOI: 10.3390/cancers12010115] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 12/21/2019] [Accepted: 12/24/2019] [Indexed: 02/07/2023] Open
Abstract
Infrared spectroscopy has long been used to characterize chemical compounds, but the applicability of this technique to the analysis of biological materials containing highly complex chemical components is arguable. However, recent advances in the development of infrared spectroscopy have significantly enhanced the capacity of this technique in analyzing various types of biological specimens. Consequently, there is an increased number of studies investigating the application of infrared spectroscopy in screening and diagnosis of various diseases. The lack of highly sensitive and specific methods for early detection of cancer has warranted the search for novel approaches. Being more simple, rapid, accurate, inexpensive, non-destructive and suitable for automation compared to existing screening, diagnosis, management and monitoring methods, Fourier transform infrared spectroscopy can potentially improve clinical decision-making and patient outcomes by detecting biochemical changes in cancer patients at the molecular level. Besides the commonly analyzed blood and tissue samples, extracellular vesicle-based method has been gaining popularity as a non-invasive approach. Therefore, infrared spectroscopic analysis of extracellular vesicles could be a useful technique in the future for biomedical applications. In this review, we discuss the potential clinical applications of Fourier transform infrared spectroscopic analysis using various types of biological materials for cancer. Additionally, the rationale and advantages of using extracellular vesicles in the spectroscopic analysis for cancer diagnostics are discussed. Furthermore, we highlight the challenges and future directions of clinical translation of the technique for cancer.
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Affiliation(s)
| | - Wai-Leng Lee
- School of Science, Monash University Malaysia, Subang Jaya 47500, Malaysia
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Butler HJ, Brennan PM, Cameron JM, Finlayson D, Hegarty MG, Jenkinson MD, Palmer DS, Smith BR, Baker MJ. Development of high-throughput ATR-FTIR technology for rapid triage of brain cancer. Nat Commun 2019; 10:4501. [PMID: 31594931 PMCID: PMC6783469 DOI: 10.1038/s41467-019-12527-5] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 09/16/2019] [Indexed: 12/22/2022] Open
Abstract
Non-specific symptoms, as well as the lack of a cost-effective test to triage patients in primary care, has resulted in increased time-to-diagnosis and a poor prognosis for brain cancer patients. A rapid, cost-effective, triage test could significantly improve this patient pathway. A blood test using attenuated total reflection (ATR)-Fourier transform infrared (FTIR) spectroscopy for the detection of brain cancer, alongside machine learning technology, is advancing towards clinical translation. However, whilst the methodology is simple and does not require extensive sample preparation, the throughput of such an approach is limited. Here we describe the development of instrumentation for the analysis of serum that is able to differentiate cancer and control patients at a sensitivity and specificity of 93.2% and 92.8%. Furthermore, preliminary data from the first prospective clinical validation study of its kind are presented, demonstrating how this innovative technology can triage patients and allow rapid access to imaging.
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Affiliation(s)
- Holly J Butler
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK. .,ClinSpec Diagnostics Limited, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK.
| | - Paul M Brennan
- Translational Neurosurgery, Department of Clinical Neurosciences, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - James M Cameron
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK
| | - Duncan Finlayson
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK
| | - Mark G Hegarty
- ClinSpec Diagnostics Limited, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK
| | - Michael D Jenkinson
- Institute of Translational Medicine, University of Liverpool & The Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley, Liverpool, L9 7LJ, UK
| | - David S Palmer
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK.,ClinSpec Diagnostics Limited, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK
| | - Benjamin R Smith
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK
| | - Matthew J Baker
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK. .,ClinSpec Diagnostics Limited, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK.
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Balan V, Mihai CT, Cojocaru FD, Uritu CM, Dodi G, Botezat D, Gardikiotis I. Vibrational Spectroscopy Fingerprinting in Medicine: from Molecular to Clinical Practice. MATERIALS (BASEL, SWITZERLAND) 2019; 12:E2884. [PMID: 31489927 PMCID: PMC6766044 DOI: 10.3390/ma12182884] [Citation(s) in RCA: 162] [Impact Index Per Article: 32.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 09/01/2019] [Accepted: 09/03/2019] [Indexed: 12/12/2022]
Abstract
In the last two decades, Fourier Transform Infrared (FTIR) and Raman spectroscopies turn out to be valuable tools, capable of providing fingerprint-type information on the composition and structural conformation of specific molecular species. Vibrational spectroscopy's multiple features, namely highly sensitive to changes at the molecular level, noninvasive, nondestructive, reagent-free, and waste-free analysis, illustrate the potential in biomedical field. In light of this, the current work features recent data and major trends in spectroscopic analyses going from in vivo measurements up to ex vivo extracted and processed materials. The ability to offer insights into the structural variations underpinning pathogenesis of diseases could provide a platform for disease diagnosis and therapy effectiveness evaluation as a future standard clinical tool.
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Affiliation(s)
- Vera Balan
- Faculty of Medical Bioengineering, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania.
| | - Cosmin-Teodor Mihai
- Advanced Centre for Research-Development in Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania.
| | - Florina-Daniela Cojocaru
- Advanced Centre for Research-Development in Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania.
| | - Cristina-Mariana Uritu
- Advanced Centre for Research-Development in Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania.
| | - Gianina Dodi
- Advanced Centre for Research-Development in Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania.
| | - Doru Botezat
- Advanced Centre for Research-Development in Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania.
| | - Ioannis Gardikiotis
- Advanced Centre for Research-Development in Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania
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Hypervascular hepatic focal lesions on dynamic contrast-enhanced CT: preliminary data from arterial phase scans texture analysis for classification. Clin Radiol 2019; 74:653.e11-653.e18. [DOI: 10.1016/j.crad.2019.05.010] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Accepted: 05/16/2019] [Indexed: 01/08/2023]
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Kar S, Katti DR, Katti KS. Fourier transform infrared spectroscopy based spectral biomarkers of metastasized breast cancer progression. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019; 208:85-96. [PMID: 30292907 DOI: 10.1016/j.saa.2018.09.052] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 09/28/2018] [Accepted: 09/29/2018] [Indexed: 06/08/2023]
Abstract
Breast cancer is a global health issue and the second leading cause of cancer death in women. Breast cancer tends to migrate to bone and causes bone metastases which is ultimately the cause of death. Here, we report the use of FTIR to identify spectral biomarkers of cancer progression on 3D in vitro model of breast cancer bone metastasis. Our results indicate that the following spectral biomarkers can monitor cancer progression, for example, lipids (CH2 asymmetric/CH2 symmetric stretch), Amide I/Amide II, and RNA/DNA. Principal component analysis also confirmed the involvement of protein, lipids and nucleic acids in cancer progression on sequential culture. The collective observations from this study suggest successful application of FTIR as a non-invasive and accurate method to identify biochemical changes in cancer cells during the progression of breast cancer bone metastasis.
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Affiliation(s)
- Sumanta Kar
- Department of Civil and Environmental Engineering, CIE 201, NDSU, Fargo, ND 58104, United States of America
| | - Dinesh R Katti
- Department of Civil and Environmental Engineering, CIE 201, NDSU, Fargo, ND 58104, United States of America
| | - Kalpana S Katti
- Department of Civil and Environmental Engineering, CIE 201, NDSU, Fargo, ND 58104, United States of America.
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Song CL, Ryu M, Morikawa J, Kothari A, Kazarian SG. Thermal effect on dispersive infrared spectroscopic imaging of prostate cancer tissue. JOURNAL OF BIOPHOTONICS 2018; 11:e201800187. [PMID: 30003714 DOI: 10.1002/jbio.201800187] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 07/11/2018] [Indexed: 06/08/2023]
Abstract
A system that combines dispersive infrared micro-spectroscopic imaging and thermography has been developed to study the effect of thermal radiation on the infrared absorption spectra of prostate biopsy samples. The system allows the distribution of thermal signal intensity as a function of emissivity to be interpreted from the integrated absorbance obtained by spectroscopic imaging. Biochemical differences between cancer and benign areas within the specimens are identified in the spectra. Side-by-side comparison of H&E stained adjacent tissue sections with infrared images constructed before and after the removal of thermal effect showed that the latter strongly support differentiation of regions within tissues. The use of spectral bands at discrete wavelengths significantly reduced spectral acquisition time, making this technique promising as a future clinical diagnostic tool. A systemic methodology was implemented to process the data, first by k-means clustering on the second derivative spectra without a priori knowledge, followed by principal component analysis (PCA). Four distinct regions within the tissue samples were successfully classified based on the antisymmetric stretching mode of the methylene functional group. Separation between data in clusters occurs when projecting spectra on a PCA score plot on a plane made by first 2 principal components. The significance of the disparity was verified with statistical test. Regulation of signal to chopper and detector enables simultaneous acquisition of infrared and thermal images of the prostate biopsy tissues.
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Affiliation(s)
- Cai L Song
- Department of Chemical Engineering, Imperial College London, London, UK
| | - Meguya Ryu
- Department of Materials Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan
| | - Junko Morikawa
- Department of Materials Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan
| | | | - Sergei G Kazarian
- Department of Chemical Engineering, Imperial College London, London, UK
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Li L, Bi X, Sun H, Liu S, Yu M, Zhang Y, Weng S, Yang L, Bao Y, Wu J, Xu Y, Shen K. Characterization of ovarian cancer cells and tissues by Fourier transform infrared spectroscopy. J Ovarian Res 2018; 11:64. [PMID: 30071867 PMCID: PMC6090913 DOI: 10.1186/s13048-018-0434-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Accepted: 07/18/2018] [Indexed: 12/31/2022] Open
Abstract
Background Ovarian cancer is the most lethal of gynecological malignancies. Fourier Transform Infrared (FTIR) spectroscopy has gradually developed as a convenient, inexpensive and non-destructive technique for the study of many diseases. In this study, FTIR spectra of normal and several heterogeneous ovarian cancer cell lines as well as ovarian cancer tissue samples were compared in the spectral region of 4000 cm− 1 - 600 cm− 1. Methods Cell samples were collected from human ovarian surface epithelial cell line (HOSEpiC) and five ovarian cancer cell lines (ES2, A2780, OVCAR3, SKOV3 and IGROV1). Validation spectra were performed on normal and cancerous tissue samples from 12 ovarian cancer patients. FTIR spectra were collected from a NICOLET iN10 MX spectrometer and the spectral data were analyzed by OMNIC 8.0 software. Results Spectral features discriminating malignant tissues from normal tissues were integrated by cell line data and tissue data. In particular changes in cancerous tissues, the decrease in the amount of lipids and nucleic acids were observed. Protein conformation and composition were also altered in some cancer cells. The band intensity ratio of 1454/1400 was higher in normal cells/tissues and lower in cancer cells/tissues. Conclusion The spectral features revealed the important molecular characteristics about ovarian cancer cells/tissues. These findings demonstrate the possible diagnostic use of FTIR spectroscopy, providing the research model and evidences, and supporting the future study on more tissue samples to establish a data bank of spectra features for the possible discrimination of ovarian cancers.
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Affiliation(s)
- Lei Li
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China
| | - Xiaoning Bi
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China
| | - Hengzi Sun
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China
| | - Simiao Liu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China
| | - Mei Yu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China
| | - Ying Zhang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China
| | - Shifu Weng
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, No. 202 Chengfu Road, Haidian District, Beijing, 100871, China
| | - Limin Yang
- State Key Laboratory of Nuclear Physics and Technology, Institute of Heavy Ion Physics, School of Physics, Peking University, No. 202 Chengfu Road, Haidian District, Beijing, 100871, China
| | - Yanan Bao
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, No. 202 Chengfu Road, Haidian District, Beijing, 100871, China
| | - Jinguang Wu
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, No. 202 Chengfu Road, Haidian District, Beijing, 100871, China
| | - Yizhuang Xu
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, No. 202 Chengfu Road, Haidian District, Beijing, 100871, China.
| | - Keng Shen
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China.
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Wongwattanakul M, Hahnvajanawong C, Seubwai W, Leelayuwat C, Limpaiboon T, Jearanaikoon P. Potential prediction of patient survival and chemotherapeutic sensitivity in cholangiocarcinoma using FTIR microspectroscopy. J Mol Struct 2018. [DOI: 10.1016/j.molstruc.2018.04.044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Niu Q, Jiang X, Li Q, Zheng Z, Du H, Wu S, Zhang X. Texture features and pharmacokinetic parameters in differentiating benign and malignant breast lesions by dynamic contrast enhanced magnetic resonance imaging. Oncol Lett 2018; 16:4607-4613. [PMID: 30214595 DOI: 10.3892/ol.2018.9196] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 05/15/2018] [Indexed: 12/27/2022] Open
Abstract
Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) has become a powerful tool for the diagnosis of breast cancer in the clinical setting due to its high sensitivity and specificity. Pharmacokinetic parameters, including Ktrans and area under the curve (AUC), and texture features derived from DCE-MRI have been used to specify the characteristics inside tumors. In the present study, 56 patients (average age 45.3±11.1; range 25-69 years) with histopathologically proved breast tumors were analyzed using the pharmacokinetic parameters and texture features. Malignant tumors displayed higher Ktrans and AUC values than the benign, Ktrans exhibited a significantly difference between the malignant and benign tumors (P=0.001) compared with the AUC values (P=0.029); texture features from DCE-MRI images and pharmacokinetic parameter maps also showed a good diagnostic ability. Alongside the routine method, principal components analysis (PCA) and Fisher discriminant analysis (FDA) were employed on these texture features to differentiate the breast lesions automatically. The Factor-1 scores of PCA were used to divide the patients into two groups, and the diagnosing accuracies of the FDA method on the texture features from DCE-MRI images, Ktrans maps, AUC maps were 93, 98 and 98%, with a cross validation accuracies of 82, 77 and 77%, respectively. To conclude, pharmacokinetic parameters, texture features and the combined computer-assisted classification method were discussed. All method involved in this study may be a potential assisted tool for radiological analysis on breast.
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Affiliation(s)
- Qingliang Niu
- Department of Radiology, WeiFang Traditional Chinese Hospital, Wei Fang, Shandong 255036, P.R. China
| | - Xiaomei Jiang
- Department of Radiology, WeiFang Traditional Chinese Hospital, Wei Fang, Shandong 255036, P.R. China
| | - Qin Li
- Department of Radiology, WeiFang Traditional Chinese Hospital, Wei Fang, Shandong 255036, P.R. China
| | - Zhaolong Zheng
- Department of Radiology, WeiFang Traditional Chinese Hospital, Wei Fang, Shandong 255036, P.R. China
| | - Hanwang Du
- Department of Radiology, WeiFang Traditional Chinese Hospital, Wei Fang, Shandong 255036, P.R. China
| | - Shasha Wu
- Department of Radiology, WeiFang Traditional Chinese Hospital, Wei Fang, Shandong 255036, P.R. China
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Pucetaite M, Velicka M, Urboniene V, Ceponkus J, Bandzeviciute R, Jankevicius F, Zelvys A, Sablinskas V, Steiner G. Rapid intra-operative diagnosis of kidney cancer by attenuated total reflection infrared spectroscopy of tissue smears. JOURNAL OF BIOPHOTONICS 2018; 11:e201700260. [PMID: 29316381 DOI: 10.1002/jbio.201700260] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Accepted: 01/06/2018] [Indexed: 05/13/2023]
Abstract
Herein, a technique to analyze air-dried kidney tissue impression smears by means of attenuated total reflection infrared (ATR-IR) spectroscopy is presented. Spectral tumor markers-absorption bands of glycogen-are identified in the ATR-IR spectra of the kidney tissue smear samples. Thin kidney tissue cryo-sections currently used for IR spectroscopic analysis lack such spectral markers as the sample preparation causes irreversible molecular changes in the tissue. In particular, freeze-thaw cycle results in degradation of the glycogen and reduction or complete dissolution of its content. Supervised spectral classification was applied to the recorded spectra of the smears and the test spectra were classified with a high accuracy of 92% for normal tissue and 94% for tumor tissue, respectively. For further development, we propose that combination of the method with optical fiber ATR probes could potentially be used for rapid real-time intra-operative tissue analysis without interfering with either the established protocols of pathological examination or the ordinary workflow of operating surgeon. Such approach could ensure easier transition of the method to clinical applications where it may complement the results of gold standard histopathology examination and aid in more precise resection of kidney tumors.
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Affiliation(s)
- Milda Pucetaite
- Department of General Physics and Spectroscopy, Vilnius University, Vilnius, Lithuania
| | - Martynas Velicka
- Department of General Physics and Spectroscopy, Vilnius University, Vilnius, Lithuania
| | - Vidita Urboniene
- Department of General Physics and Spectroscopy, Vilnius University, Vilnius, Lithuania
| | - Justinas Ceponkus
- Department of General Physics and Spectroscopy, Vilnius University, Vilnius, Lithuania
| | - Rimante Bandzeviciute
- Department of General Physics and Spectroscopy, Vilnius University, Vilnius, Lithuania
| | - Feliksas Jankevicius
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania
- Lithuanian National Cancer Institute, Vilnius, Lithuania
| | - Arunas Zelvys
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Valdas Sablinskas
- Department of General Physics and Spectroscopy, Vilnius University, Vilnius, Lithuania
| | - Gerald Steiner
- Department of General Physics and Spectroscopy, Vilnius University, Vilnius, Lithuania
- Faculty of Medicine Carl Gustav Carus, Clinical Sensoring and Monitoring, Dresden University of Technology, Dresden, Germany
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De Bruyne S, Speeckaert MM, Delanghe JR. Applications of mid-infrared spectroscopy in the clinical laboratory setting. Crit Rev Clin Lab Sci 2017; 55:1-20. [PMID: 29239240 DOI: 10.1080/10408363.2017.1414142] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Fourier transform mid-infrared (MIR-FTIR) spectroscopy is a nondestructive, label-free, highly sensitive and specific technique that provides complete information on the chemical composition of biological samples. The technique both can offer fundamental structural information and serve as a quantitative analysis tool. Therefore, it has many potential applications in different fields of clinical laboratory science. Although considerable technological progress has been made to promote biomedical applications of this powerful analytical technique, most clinical laboratory analyses are based on spectroscopic measurements in the visible or ultraviolet (UV) spectrum and the potential role of FTIR spectroscopy still remains unexplored. In this review, we present some general principles of FTIR spectroscopy as a useful method to study molecules in specimens by MIR radiation together with a short overview of methods to interpret spectral data. We aim at illustrating the wide range of potential applications of the proposed technique in the clinical laboratory setting with a focus on its advantages and limitations and discussing the future directions. The reviewed applications of MIR spectroscopy include (1) quantification of clinical parameters in body fluids, (2) diagnosis and monitoring of cancer and other diseases by analysis of body fluids, cells, and tissues, (3) classification of clinically relevant microorganisms, and (4) analysis of kidney stones, nails, and faecal fat.
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Affiliation(s)
- Sander De Bruyne
- a Department of Clinical Chemistry , Ghent University Hospital , Ghent , Belgium
| | | | - Joris R Delanghe
- a Department of Clinical Chemistry , Ghent University Hospital , Ghent , Belgium
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Colorectal Cancer and Colitis Diagnosis Using Fourier Transform Infrared Spectroscopy and an Improved K-Nearest-Neighbour Classifier. SENSORS 2017; 17:s17122739. [PMID: 29186913 PMCID: PMC5750796 DOI: 10.3390/s17122739] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 10/31/2017] [Accepted: 11/02/2017] [Indexed: 01/03/2023]
Abstract
Combining Fourier transform infrared spectroscopy (FTIR) with endoscopy, it is expected that noninvasive, rapid detection of colorectal cancer can be performed in vivo in the future. In this study, Fourier transform infrared spectra were collected from 88 endoscopic biopsy colorectal tissue samples (41 colitis and 47 cancers). A new method, viz., entropy weight local-hyperplane k-nearest-neighbor (EWHK), which is an improved version of K-local hyperplane distance nearest-neighbor (HKNN), is proposed for tissue classification. In order to avoid limiting high dimensions and small values of the nearest neighbor, the new EWHK method calculates feature weights based on information entropy. The average results of the random classification showed that the EWHK classifier for differentiating cancer from colitis samples produced a sensitivity of 81.38% and a specificity of 92.69%.
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Wan QS, Wang T, Zhang KH. Biomedical optical spectroscopy for the early diagnosis of gastrointestinal neoplasms. Tumour Biol 2017; 39:1010428317717984. [PMID: 28671054 DOI: 10.1177/1010428317717984] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Gastrointestinal cancer is a leading contributor to cancer-related morbidity and mortality worldwide. Early diagnosis currently plays a key role in the prognosis of patients with gastrointestinal cancer. Despite the advances in endoscopy over the last decades, missing lesions, undersampling and incorrect sampling in biopsies, as well as invasion still result in a poor diagnostic rate of early gastrointestinal cancers. Accordingly, there is a pressing need to develop non-invasive methods for the early detection of gastrointestinal cancers. Biomedical optical spectroscopy, including infrared spectroscopy, Raman spectroscopy, diffuse scattering spectroscopy and autofluorescence, is capable of providing structural and chemical information about biological specimens with the advantages of non-destruction, non-invasion and reagent-free and waste-free analysis and has thus been widely investigated for the diagnosis of oesophageal, gastric and colorectal cancers. This review will introduce the advances of biomedical optical spectroscopy techniques, highlight their applications for the early detection of gastrointestinal cancers and discuss their limitations.
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Affiliation(s)
- Qin-Si Wan
- Department of Gastroenterology, Jiangxi Institute of Gastroenterology & Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ting Wang
- Department of Gastroenterology, Jiangxi Institute of Gastroenterology & Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Kun-He Zhang
- Department of Gastroenterology, Jiangxi Institute of Gastroenterology & Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang, China
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Sarkar A, Sengupta S, Mukherjee A, Chatterjee J. Fourier transform infra-red spectroscopic signatures for lung cells' epithelial mesenchymal transition: A preliminary report. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2017; 173:809-816. [PMID: 27810772 DOI: 10.1016/j.saa.2016.10.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 09/23/2016] [Accepted: 10/16/2016] [Indexed: 06/06/2023]
Abstract
Infra red (IR) spectral characterization can provide label-free cellular metabolic signatures of normal and diseased circumstances in a rapid and non-invasive manner. Present study endeavoured to enlist Fourier transform infra red (FTIR) spectroscopic signatures for lung normal and cancer cells during chemically induced epithelial mesenchymal transition (EMT) for which global metabolic dimension is not well reported yet. Occurrence of EMT was validated with morphological and immunocytochemical confirmation. Pre-processed spectral data was analyzed using ANOVA and principal component analysis-linear discriminant analysis (PCA-LDA). Significant differences observed in peak area corresponding to biochemical fingerprint (900-1800cm-1) and high wave-number (2800-3800cm-1) regions contributed to adequate PCA-LDA segregation of cells undergoing EMT. The findings were validated by re-analysis of data using another in-house built binary classifier namely vector valued regularized kernel approximation (VVRKFA), in order to understand EMT progression. To improve the classification accuracy, forward feature selection (FFS) tool was employed in extracting potent spectral signatures by eliminating undesirable noise. Gradual increase in classification accuracy with EMT progression of both cell types indicated prominence of the biochemical alterations. Rapid changes in cellular metabolome noted in cancer cells within first 24h of EMT induction along with higher classification accuracy for cancer cell groups in comparison to normal cells might be attributed to inherent differences between them. Spectral features were suggestive of EMT triggered changes in nucleic acid, protein, lipid and bound water contents which can emerge as the useful markers to capture EMT related cellular characteristics.
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Affiliation(s)
- Atasi Sarkar
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India.
| | - Sanghamitra Sengupta
- Department of Biochemistry, Calcutta University, Ballygunge, Kolkata 700019, West Bengal, India
| | - Anirban Mukherjee
- Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India
| | - Jyotirmoy Chatterjee
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India
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44
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Comparison of red blood cells from gastric cancer patients and healthy persons using FTIR spectroscopy. J Mol Struct 2017. [DOI: 10.1016/j.molstruc.2016.10.019] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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45
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Use of FTIR spectroscopy and PCA-LDC analysis to identify cancerous lesions within the human colon. J Pharm Biomed Anal 2016; 134:259-268. [PMID: 27930993 DOI: 10.1016/j.jpba.2016.11.047] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Indexed: 01/18/2023]
Abstract
Colorectal cancer constitutes 33% of all cancer morbidity, so the research of the new methods for colorectal cancer diagnosis and chemotherapy monitoring is gaining its momentum. Diagnostic instruments are being sought, which enable the detection of single malignant cells based on the analysis of tissue material potentially reusable at further stages of diagnostic management. The most common approach to tissue specimen processing is paraffin-embedding. Yet, paraffin may cause background noise in spectroscopic measurements with the wavenumber ranging between 900cm-1 and 3500cm-1. However, the study by Depciuch et al. (2016) proved that appropriate specimen processing and paraffin-embedding technique as well as a strict measurement methodology may eliminate paraffin vibrations. As a result, spectroscopic measurements may become a reliable and precise method for the diagnosis and treatment monitoring in patients with colorectal cancer as long as the high standards of specimen processing are maintained. Chemotherapy is the main medical treatment in colorectal cancer. Unfortunately, the absence of tools which enable monitoring its efficacy leads to the partial response or non-response frequently seen in affected patients. Hence, diagnostic instruments are also being sought capable of monitoring treatment efficacy so as to enable early changes of chemotherapy regimen thus increasing the chance of cure. The paper aims at comparing the results of FTIR (Fourier Transform Infrared) spectroscopy in several types of colon tissue: healthy colon, cancerous colon, post-chemotherapy colon and healthy surgical margin of colon cancer sample. The obtained FTIR spectra along with the Principal Component Analysis-Linear Discriminant Analysis (PCA-LDC) as well as bandwidth analysis of the primary amide region revealed some differences between the spectra of healthy tissues as compared to cancerous tissues (pre- or post-chemotherapy). Apart from confirming that FTIR spectroscopy is a good source of information on the composition of analysed samples, this fact supports its application as a tool to facilitate understanding the pathophysiology of various conditions and to monitor efficacy of chemotherapy in cancer patients.
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Jenkins CA, Lewis PD, Dunstan PR, Harris DA. Role of Raman spectroscopy and surface enhanced Raman spectroscopy in colorectal cancer. World J Gastrointest Oncol 2016; 8:427-438. [PMID: 27190582 PMCID: PMC4865710 DOI: 10.4251/wjgo.v8.i5.427] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2015] [Revised: 11/24/2015] [Accepted: 03/09/2016] [Indexed: 02/05/2023] Open
Abstract
Colorectal cancer (CRC) is the fourth most common cancer in the United Kingdom and is the second largest cause of cancer related death in the United Kingdom after lung cancer. Currently in the United Kingdom there is not a diagnostic test that has sufficient differentiation between patients with cancer and those without cancer so the current referral system relies on symptomatic presentation in a primary care setting. Raman spectroscopy and surface enhanced Raman spectroscopy (SERS) are forms of vibrational spectroscopy that offer a non-destructive method to gain molecular information about biological samples. The techniques offer a wide range of applications from in vivo or in vitro diagnostics using endoscopic probes, to the use of micro-spectrometers for analysis of biofluids. The techniques have the potential to detect molecular changes prior to any morphological changes occurring in the tissue and therefore could offer many possibilities to aid the detection of CRC. The purpose of this review is to look at the current state of diagnostic technology in the United Kingdom. The development of Raman spectroscopy and SERS in clinical applications relation for CRC will then be discussed. Finally, future areas of research of Raman/SERS as a clinical tool for the diagnosis of CRC are also discussed.
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Mao ZH, Yin JH, Zhang XX, Wang X, Xia Y. Discrimination of healthy and osteoarthritic articular cartilage by Fourier transform infrared imaging and Fisher's discriminant analysis. BIOMEDICAL OPTICS EXPRESS 2016; 7:448-453. [PMID: 26977354 PMCID: PMC4771463 DOI: 10.1364/boe.7.000448] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Revised: 12/31/2015] [Accepted: 01/08/2016] [Indexed: 06/05/2023]
Abstract
Fourier transform infrared spectroscopic imaging (FTIRI) technique can be used to obtain the quantitative information of content and spatial distribution of principal components in cartilage by combining with chemometrics methods. In this study, FTIRI combining with principal component analysis (PCA) and Fisher's discriminant analysis (FDA) was applied to identify the healthy and osteoarthritic (OA) articular cartilage samples. Ten 10-μm thick sections of canine cartilages were imaged at 6.25μm/pixel in FTIRI. The infrared spectra extracted from the FTIR images were imported into SPSS software for PCA and FDA. Based on the PCA result of 2 principal components, the healthy and OA cartilage samples were effectively discriminated by the FDA with high accuracy of 94% for the initial samples (training set) and cross validation, as well as 86.67% for the prediction group. The study showed that cartilage degeneration became gradually weak with the increase of the depth. FTIRI combined with chemometrics may become an effective method for distinguishing healthy and OA cartilages in future.
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Affiliation(s)
- Zhi-Hua Mao
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Jian-Hua Yin
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
| | - Xue-Xi Zhang
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Xiao Wang
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Yang Xia
- Department of Physics and Center for Biomedical Research, Oakland University, Rochester, Ml 48309, USA;
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Ogruc Ildiz G, Arslan M, Unsalan O, Araujo-Andrade C, Kurt E, Karatepe HT, Yilmaz A, Yalcinkaya OB, Herken H. FT-IR spectroscopy and multivariate analysis as an auxiliary tool for diagnosis of mental disorders: Bipolar and schizophrenia cases. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2016; 152:551-556. [PMID: 25619859 DOI: 10.1016/j.saa.2014.12.114] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2014] [Revised: 11/14/2014] [Accepted: 12/31/2014] [Indexed: 06/04/2023]
Abstract
In this study, a methodology based on Fourier-transform infrared spectroscopy and principal component analysis and partial least square methods is proposed for the analysis of blood plasma samples in order to identify spectral changes correlated with some biomarkers associated with schizophrenia and bipolarity. Our main goal was to use the spectral information for the calibration of statistical models to discriminate and classify blood plasma samples belonging to bipolar and schizophrenic patients. IR spectra of 30 samples of blood plasma obtained from each, bipolar and schizophrenic patients and healthy control group were collected. The results obtained from principal component analysis (PCA) show a clear discrimination between the bipolar (BP), schizophrenic (SZ) and control group' (CG) blood samples that also give possibility to identify three main regions that show the major differences correlated with both mental disorders (biomarkers). Furthermore, a model for the classification of the blood samples was calibrated using partial least square discriminant analysis (PLS-DA), allowing the correct classification of BP, SZ and CG samples. The results obtained applying this methodology suggest that it can be used as a complimentary diagnostic tool for the detection and discrimination of these mental diseases.
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Affiliation(s)
- G Ogruc Ildiz
- Istanbul Kultur University, Faculty of Science and Letters, Department of Physics, Atakoy Campus, 34156 Bakirkoy, Istanbul, Turkey.
| | - M Arslan
- Bakirkoy Training and Research Hospital for Psychiatry, Neurology and Nerosurgery, Department of Psychiatry, Bakirkoy, Istanbul, Turkey
| | - O Unsalan
- Istanbul, Faculty of Science, Physics Department, Vezneciler-Fatih, 34134 Istanbul, Turkey
| | - C Araujo-Andrade
- Unidad Académica de Física de la Universidad Autónoma de Zacatecas, Zacatecas, Mexico
| | - E Kurt
- Bakirkoy Training and Research Hospital for Psychiatry, Neurology and Nerosurgery, Department of Psychiatry, Bakirkoy, Istanbul, Turkey
| | - H T Karatepe
- Bakirkoy Training and Research Hospital for Psychiatry, Neurology and Nerosurgery, Department of Psychiatry, Bakirkoy, Istanbul, Turkey
| | - A Yilmaz
- Istanbul, Faculty of Science, Physics Department, Vezneciler-Fatih, 34134 Istanbul, Turkey
| | - O B Yalcinkaya
- Istanbul, Faculty of Science, Physics Department, Vezneciler-Fatih, 34134 Istanbul, Turkey
| | - H Herken
- Pamukkale University, Faculty of Medicine, Department of Psychiatry, Bayramyeri, Denizli, Turkey
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49
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Kalmodia S, Parameswaran S, Yang W, Barrow CJ, Krishnakumar S. Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy: An analytical technique to understand therapeutic responses at the molecular level. Sci Rep 2015; 5:16649. [PMID: 26568521 PMCID: PMC4645174 DOI: 10.1038/srep16649] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Accepted: 10/14/2015] [Indexed: 02/07/2023] Open
Abstract
Rapid monitoring of the response to treatment in cancer patients is essential to predict the outcome of the therapeutic regimen early in the course of the treatment. The conventional methods are laborious, time-consuming, subjective and lack the ability to study different biomolecules and their interactions, simultaneously. Since; mechanisms of cancer and its response to therapy is dependent on molecular interactions and not on single biomolecules, an assay capable of studying molecular interactions as a whole, is preferred. Fourier Transform Infrared (FTIR) spectroscopy has become a popular technique in the field of cancer therapy with an ability to elucidate molecular interactions. The aim of this study, was to explore the utility of the FTIR technique along with multivariate analysis to understand whether the method has the resolution to identify the differences in the mechanism of therapeutic response. Towards achieving the aim, we utilized the mouse xenograft model of retinoblastoma and nanoparticle mediated targeted therapy. The results indicate that the mechanism underlying the response differed between the treated and untreated group which can be elucidated by unique spectral signatures generated by each group. The study establishes the efficiency of non-invasive, label-free and rapid FTIR method in assessing the interactions of nanoparticles with cellular macromolecules towards monitoring the response to cancer therapeutics.
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Affiliation(s)
- Sushma Kalmodia
- Department of Nano biotechnology, Vision Research Foundation, Sankara Nethralaya, 18, College Road, Nungambakkam, Chennai - 600 006, India.,Centre for Chemistry and Biotechnology, Deakin University, Geelong campus, VIC 3216, Australia
| | - Sowmya Parameswaran
- Radheshyam Kanoi Stem Cell laboratory, Vision Research Foundation, Sankara Nethralaya, 18, College Road, Nungambakkam, Chennai - 600 006, India
| | - Wenrong Yang
- Centre for Chemistry and Biotechnology, Deakin University, Geelong campus, VIC 3216, Australia
| | - Colin J Barrow
- Centre for Chemistry and Biotechnology, Deakin University, Geelong campus, VIC 3216, Australia
| | - Subramanian Krishnakumar
- Department of Nano biotechnology, Vision Research Foundation, Sankara Nethralaya, 18, College Road, Nungambakkam, Chennai - 600 006, India
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Sheng D, Xu F, Yu Q, Fang T, Xia J, Li S, Wang X. A study of structural differences between liver cancer cells and normal liver cells using FTIR spectroscopy. J Mol Struct 2015. [DOI: 10.1016/j.molstruc.2015.05.054] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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