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Laginha RC, Silva JD, Cinque G, Batista de Carvalho LAE, Batista de Carvalho ALM. Vibrational microspectroscopy as a tool to unveil new chemotherapeutic strategies against osteosarcoma. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 317:124389. [PMID: 38710137 DOI: 10.1016/j.saa.2024.124389] [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: 01/31/2024] [Revised: 04/12/2024] [Accepted: 04/29/2024] [Indexed: 05/08/2024]
Abstract
Over the years, osteosarcoma therapy has had a significative improvement with the use of a multidrug regime strategy, increasing the survival rates from less than 20 % to circa 70 %. Different types of development of new antineoplastic agents are critical to achieve irreversible damage to cancer cells, while preserving the integrity of their healthy counterparts. In the present study, complexes with two and three Pd(II) centres linked by the biogenic polyamines: spermine (Pd2SpmCl4) and spermidine (Pd3Spd2Cl6) were tested against non-malignant (osteoblasts, HOb) and cancer (osteosarcoma, MG-63) human cell lines. Either alone or in combination according to the EURAMOS-1 protocol, they were used versus cisplatin as a drug reference. By evaluating the cytotoxic effects of both therapeutic approaches (single and drug combination) in HOb and MG-63 cell lines, the selective anti-tumoral potential is assessed. To understand the different treatments at a molecular level, Synchrotron Radiation Fourier Transform Infrared and Raman microspectroscopies were applied. Principal component analysis and hierarchical cluster analysis are applied to the vibrational data, revealing the major metabolic changes caused by each drug, which were found to rely on DNA, lipids, and proteins, acting as biomarkers of drug-to-cell impact. The main changes were observed for the B-DNA native conformation to either Z-DNA (higher in the presence of polynuclear complexes) or A-DNA (preferably after cisplatin exposure). Additionally, a higher effect upon variation in proteins content was detected in drug combination when compared to single drug administration proving the efficacy of the EURAMOS-1 protocol with the new drugs tested.
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Affiliation(s)
- Raquel C Laginha
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal
| | - Jéssica D Silva
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal
| | - Gianfelice Cinque
- Diamond Light Source, Harwell Science and Innovation Campus, Didcot, Oxfordshire OX11 0DE, UK
| | - Luís A E Batista de Carvalho
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal.
| | - Ana L M Batista de Carvalho
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, 3004-535 Coimbra, Portugal
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Ali A, Nawaz H, Irfan Majeed M, Ghamkhar M. Quantitative analysis of solid dosage forms of Atenolol by Raman spectroscopy. Drug Dev Ind Pharm 2024:1-13. [PMID: 38980706 DOI: 10.1080/03639045.2024.2377331] [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: 04/17/2024] [Accepted: 07/02/2024] [Indexed: 07/10/2024]
Abstract
ObjectiveTo develop a Raman spectroscopy-based analytical model for quantification of solid dosage forms of active pharmaceutical ingredient (API) of Atenolol.Significance:For the quantitative analysis of pharmaceutical drugs, Raman Spectroscopy is a reliable and fast detection method. As part of this study, Raman Spectroscopy is explored for the quantitative analysis of different concentrations of Atenolol.MethodsVarious solid-dosage forms of Atenolol were prepared by mixing API with excipients to form different solid-dosage formulations of Atenolol. Multivariate data analysis techniques such as Principal Component Analysis (PCA) and Partial least square regression (PLSR) were used for the qualitative and quantitative analysis, respectively.ResultsAs the concentration of the drug increased in formulation, the peak intensities of the distinctive Raman spectral characteristics associated with the API (Atenolol) gradually increased. Raman spectral data sets were classified using PCA due to their distinctive spectral characteristics. Additionally, a prediction model was built using PLSR analysis to assess the quantitative relationship between various API (Atenolol) concentrations and spectral features. With a goodness of fit value of 0.99, the root mean square errors of calibration (RMSEC) and prediction (RMSEP) were determined to be 1.0036 mg and 2.83 mg, respectively. The API content in the blind/unknown Atenolol formulation was determined as well using the PLSR model.ConclusionBased on these results, Raman spectroscopy may be used to quickly and accurately analyze pharmaceutical samples and for their quantitative determination.
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Affiliation(s)
- Arslan Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan
| | - Madiha Ghamkhar
- Department of Mathematics and Statistics, University of Agriculture Faisalabad, Faisalabad (38000), Pakistan
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3
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Rafique M, Naveed M, Mumtaz MZ, Niaz A, Alamri S, Siddiqui MH, Waheed MQ, Ali Z, Naman A, Rehman SU, Brtnicky M, Mustafa A. Unlocking the potential of biofilm-forming plant growth-promoting rhizobacteria for growth and yield enhancement in wheat (Triticum aestivum L.). Sci Rep 2024; 14:15546. [PMID: 38969785 PMCID: PMC11226629 DOI: 10.1038/s41598-024-66562-4] [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: 11/15/2023] [Accepted: 07/02/2024] [Indexed: 07/07/2024] Open
Abstract
Plant growth-promoting rhizobacteria (PGPR) boost crop yields and reduce environmental pressures through biofilm formation in natural climates. Recently, biofilm-based root colonization by these microorganisms has emerged as a promising strategy for agricultural enhancement. The current work aims to characterize biofilm-forming rhizobacteria for wheat growth and yield enhancement. For this, native rhizobacteria were isolated from the wheat rhizosphere and ten isolates were characterized for plant growth promoting traits and biofilm production under axenic conditions. Among these ten isolates, five were identified as potential biofilm-producing PGPR based on in vitro assays for plant growth-promoting traits. These were further evaluated under controlled and field conditions for their impact on wheat growth and yield attributes. Surface-enhanced Raman spectroscopy analysis further indicated that the biochemical composition of the biofilm produced by the selected bacterial strains includes proteins, carbohydrates, lipids, amino acids, and nucleic acids (DNA/RNA). Inoculated plants in growth chamber resulted in larger roots, shoots, and increase in fresh biomass than controls. Similarly, significant increases in plant height (13.3, 16.7%), grain yield (29.6, 17.5%), number of tillers (18.7, 34.8%), nitrogen content (58.8, 48.1%), and phosphorus content (63.0, 51.0%) in grains were observed in both pot and field trials, respectively. The two most promising biofilm-producing isolates were identified through 16 s rRNA partial gene sequencing as Brucella sp. (BF10), Lysinibacillus macroides (BF15). Moreover, leaf pigmentation and relative water contents were significantly increased in all treated plants. Taken together, our results revealed that biofilm forming PGPR can boost crop productivity by enhancing growth and physiological responses and thus aid in sustainable agriculture.
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Affiliation(s)
- Munazza Rafique
- Soil Bacteriology Section, Agricultural Biotechnology Research Institute, AARI, Faisalabad, 38000, Pakistan
| | - Muhammad Naveed
- Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, 38040, Pakistan.
| | - Muhammad Zahid Mumtaz
- College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China, Lahore, Pakistan
| | - Abid Niaz
- Soil Bacteriology Section, Agricultural Biotechnology Research Institute, AARI, Faisalabad, 38000, Pakistan
| | - Saud Alamri
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Manzer H Siddiqui
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Muhammad Qandeel Waheed
- Wheat Breeding Group, Plant Breeding and Genetics Division, Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, 38000, Pakistan
| | - Zulfiqar Ali
- Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, 38040, Pakistan
- Director, Programs and Projects Department, Islamic Organization for Food Security, 019900, Astana, Kazakhstan
| | - Abdul Naman
- Department of Chemistry, University of Agriculture, Faisalabad, 38040, Pakistan
| | - Sajid Ur Rehman
- Agricultural Biotechnology Research Institute, AARI, Faisalabad, 38000, Pakistan
| | - Martin Brtnicky
- Department of Agrochemistry, Soil Science, Microbiology and Plant Nutrition, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, 61300, Brno, Czech Republic
| | - Adnan Mustafa
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.
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Hajab H, Anwar A, Nawaz H, Majeed MI, Alwadie N, Shabbir S, Amber A, Jilani MI, Nargis HF, Zohaib M, Ismail S, Kamal A, Imran M. Surface-enhanced Raman spectroscopy of the filtrate portions of the blood serum samples of breast cancer patients obtained by using 30 kDa filtration device. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 311:124046. [PMID: 38364514 DOI: 10.1016/j.saa.2024.124046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/04/2024] [Accepted: 02/12/2024] [Indexed: 02/18/2024]
Abstract
Raman spectroscopy is reliable tool for analyzing and exploring early disease diagnosis related to body fluids, such as blood serum, which contain low molecular weight fraction (LMWF) and high molecular weight fraction (HMWF) proteins. The disease biomarkers consist of LMWF which are dominated by HMWF hence their analysis is difficult. In this study, in order to overcome this issue, centrifugal filter devices of 30 kDa were used to obtain filtrate and residue portions obtained from whole blood serum samples of control and breast cancer diagnosed patients. The filtrate portions obtained in this way are expected to contain the marker proteins of breast cancer of the size below this filter size. These may include prolactin, Microphage migration inhabitation factor (MIF), γ-Synuclein, BCSG1, Leptin, MUC1, RS/DJ-1 present in the centrifuged blood serum (filtrate portions) which are then analyzed by the SERS technique to recognize the SERS spectral characteristics associated with the progression of breast cancer in the samples of different stages as compared to the healthy ones. The key intention of this study is to achieve early-stage breast cancer diagnosis through the utilization of Surface Enhanced Raman Spectroscopy (SERS) after the centrifugation of healthy and breast cancer serum samples with Amicon ultra-filter devices of 30 kDa. The silver nanoparticles with high plasmon resonance are used as a substrate for SERS analysis. Principal Component Analysis (PCA) and Partial Least Discriminant Analysis (PLS-DA) models are utilized as spectral classification tools to assess and predict rapid, reliable, and non-destructive SERS-based analysis. Notably, they were particularly effective in distinguishing between different SERS spectral groups of the cancerous and non-cancerous samples. By comparing all these spectral data sets to each other PLSDA shows the 79 % accuracy, 76 % specificity, and 81 % sensitivity in samples with AUC value of AUC = 0.774 SERS has proven to be a valuable technique for the rapid identification of the SERS spectral features of blood serum and its filtrate fractions from both healthy individuals and those with breast cancer, aiding in disease diagnosis.
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Affiliation(s)
- Hawa Hajab
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Ayesha Anwar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan.
| | - Najah Alwadie
- Department of Physics, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
| | - Sana Shabbir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Arooj Amber
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | | | - Hafiza Faiza Nargis
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Muhammad Zohaib
- Department of Zoology, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Sidra Ismail
- Medical College, Foundation University Islamabad, Pakistan
| | - Abida Kamal
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Muhammad Imran
- Department of Chemistry, Faculty of Science, King Khalid University, P.O. Box 9004, Abha, Saudi Arabia
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Tahseen H, Ul Huda N, Nawaz H, Majeed MI, Alwadie N, Rashid N, Aslam MA, Zafar N, Asghar M, Anwar A, Ashraf A, Umer R. Surface-enhanced Raman spectroscopy for comparison of biochemical profile of bacteriophage sensitive and resistant methicillin-resistant Staphylococcus aureus (MRSA) strains. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 310:123968. [PMID: 38330510 DOI: 10.1016/j.saa.2024.123968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 01/10/2024] [Accepted: 01/24/2024] [Indexed: 02/10/2024]
Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) is gram positive bacteria and leading cause of a wide variety of diseases. It is a common cause of hospitalized and community-acquired infections. Development of increasing antibiotic-resistance by methicillin-resistant S. aureus (MRSA) strains demand to develop alternate novel therapies. Bacteriophages are now widely used as antibacterial therapies against antibiotic-resistant gram-positive pathogens. So, there is an urgent need to find fast detection techniques to point out phage susceptible and resistant strains of methicillin-resistant S. aureus (MRSA) bacteria. Samples of two separate strains of bacteria, S. aureus, in form of pellets and supernatant, were used for this purpose. Strain-I was resistant to phage, while the other (strain-II) was sensitive. Surface Enhanced Raman Spectroscopy (SERS) has detected significant biochemical changes in these bacterial strains of pellets and supernatants in the form of SERS spectral features. The protein portion of these two types of strains of methicillin-resistant S. aureus (MRSA) in their relevant pellets and supernatants is major distinguishing biomolecule as shown by their representative SERS spectral features. In addition, multivariate data analysis techniques such as principal component analysis (PCA) and a partial least squares-discriminant analysis (PLS-DA) were found to be helpful in identifying and characterizing various strains of S. aureus which are sensitive and resistant to bacteriophage with 100% specificity, 100% accuracy, and 99.8% sensitivity in case of SERS spectral data sets of bacterial cell pellets. Moreover, in case of supernatant samples, the results of PLS-DA model including 95.5% specificity, 96% sensitivity, and 96.5% accuracy are obtained.
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Affiliation(s)
- Hira Tahseen
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Noor Ul Huda
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Najah Alwadie
- Department of Physics, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan
| | - Muhammad Aamir Aslam
- Institute of Microbiology, Faculty of Veterinary, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Nishat Zafar
- Institute of Microbiology, Faculty of Veterinary, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Maria Asghar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ayesha Anwar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ayesha Ashraf
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Rabiea Umer
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
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Mehmood N, Akram MW, Majeed MI, Nawaz H, Aslam MA, Naman A, Wasim M, Ghaffar U, Kamran A, Nadeem S, Kanwal N, Imran M. Surface-enhanced Raman spectroscopy for the characterization of bacterial pellets of Staphylococcus aureus infected by bacteriophage. RSC Adv 2024; 14:5425-5434. [PMID: 38348301 PMCID: PMC10859908 DOI: 10.1039/d3ra07575c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/12/2024] [Indexed: 02/15/2024] Open
Abstract
Drug-resistant pathogenic bacteria are a major cause of infectious diseases in the world and they have become a major threat through the reduced efficacy of developed antibiotics. This issue can be addressed by using bacteriophages, which can kill lethal bacteria and prevent them from causing infections. Surface-enhanced Raman spectroscopy (SERS) is a promising technique for studying the degradation of infectious bacteria by the interaction of bacteriophages to break the vicious cycle of drug-resistant bacteria and help to develop chemotherapy-independent remedial strategies. The phage (viruses)-sensitive Staphylococcus aureus (S. aureus) bacteria are exposed to bacteriophages (Siphoviridae family) in the time frame from 0 min (control) to 50 minutes with intervals of 5 minutes and characterized by SERS using silver nanoparticles as SERS substrate. This allows us to explore the effects of the bacteriophages against lethal bacteria (S. aureus) at different time intervals. The differentiating SERS bands are observed at 575 (C-C skeletal mode), 620 (phenylalanine), 649 (tyrosine, guanine (ring breathing)), 657 (guanine (COO deformation)), 728-735 (adenine, glycosidic ring mode), 796 (tyrosine (C-N stretching)), 957 (C-N stretching (amide lipopolysaccharides)), 1096 (PO2 (nucleic acid)), 1113 (phenylalanine), 1249 (CH2 of amide III, N-H bending and C-O stretching (amide III)), 1273 (CH2, N-H, C-N, amide III), 1331 (C-N stretching mode of adenine), 1373 (in nucleic acids (ring breathing modes of the DNA/RNA bases)) and 1454 cm-1 (CH2 deformation of saturated lipids), indicating the degradation of bacteria and replication of bacteriophages. Multivariate data analysis was performed by employing principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) to study the biochemical differences in the S. aureus bacteria infected by the bacteriophage. The SERS spectral data sets were successfully differentiated by PLS-DA with 94.47% sensitivity, 98.61% specificity, 94.44% precision, 98.88% accuracy and 81.06% area under the curve (AUC), which shows that at 50 min interval S. aureus bacteria is degraded by the replicating bacteriophages.
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Affiliation(s)
- Nasir Mehmood
- Department of Chemistry, University of Agriculture Faisalabad Faisalabad (38000) Pakistan
| | - Muhammad Waseem Akram
- Department of Chemistry, University of Agriculture Faisalabad Faisalabad (38000) Pakistan
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad Faisalabad (38000) Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad Faisalabad (38000) Pakistan
| | - Muhammad Aamir Aslam
- Institute of Microbiology, Faculty of Veterinary, University of Agriculture Faisalabad Faisalabad (38000) Pakistan
| | - Abdul Naman
- Department of Chemistry, University of Agriculture Faisalabad Faisalabad (38000) Pakistan
| | - Muhammad Wasim
- Department of Chemistry, University of Agriculture Faisalabad Faisalabad (38000) Pakistan
| | - Usman Ghaffar
- Department of Chemistry, University of Agriculture Faisalabad Faisalabad (38000) Pakistan
| | - Ali Kamran
- Department of Chemistry, University of Agriculture Faisalabad Faisalabad (38000) Pakistan
| | - Sana Nadeem
- Department of Chemistry, University of Agriculture Faisalabad Faisalabad (38000) Pakistan
| | - Naeema Kanwal
- Department of Chemistry, University of Agriculture Faisalabad Faisalabad (38000) Pakistan
| | - Muhammad Imran
- Department of Chemistry, Faculty of Science, King Khalid University P.O. Box 9004 Abha (61413) Saudi Arabia
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Naman A, Tahseen H, Nawaz H, Majeed MI, Ali A, Haque A, Akbar MU, Mehmood N, Nosheen R, Nadeem S, Shahzadi A, Imran M. Surface-enhanced Raman spectroscopy for characterization of supernatant samples of biofilm forming bacterial strains. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 305:123414. [PMID: 37852119 DOI: 10.1016/j.saa.2023.123414] [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: 06/23/2023] [Revised: 09/07/2023] [Accepted: 09/13/2023] [Indexed: 10/20/2023]
Abstract
Staphylococcus epidermidis is considered major cause of nosocomial infections. Its pathogenicity is mainly due to the ability to form biofilms on different surfaces, particularly indwelling medical devices. This bacterium consists of different strains consisting of non, medium and strong biofilm forming ones. Surface-enhanced Raman spectroscopy (SERS) is a powerful analytical technique that can be used to detect and analyze biochemical composition of the supernatant samples of different strains of bacteria including non, medium and strong biofilm forming bacterial strains. SERS is a powerful technique for the robust, reliable, rapid detection and discrimination of bacteria in the form of characteristic SERS spectral features which can be used for detection and classification. SERS is used to differentiate three classes of bacteria with respect to their biofilm forming ability. Silver nanoparticles (Ag NPs) are used as SERS substrate and synthesized with chemical reduction method. Principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) are used to discriminate SERS spectral data sets of non, medium and strong biofilm forming bacteria. PLS-DA analysis is a multivariate statistical technique that can be used to analyze data from bacterial sets.
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Affiliation(s)
- Abdul Naman
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Hira Tahseen
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Aamir Ali
- National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute of Engineering and Applied Sciences (NIBGE-C, PIEAS), Jhang Road, Faisalabad 38000, Pakistan
| | - Asma Haque
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad 38000, Pakistan
| | - Muhammad Umair Akbar
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad 38000, Pakistan
| | - Nasir Mehmood
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Rashid Nosheen
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
| | - Sana Nadeem
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Aqsa Shahzadi
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Imran
- Department of Chemistry, Faculty of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia
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Huda NU, Wasim M, Nawaz H, Majeed MI, Javed MR, Rashid N, Iqbal MA, Tariq A, Hassan A, Akram MW, Jamil F, Imran M. Synthesis, Characterization, and Evaluation of Antifungal Activity of 1-Butyl-3-hexyl-1 H-imidazol-2(3 H)-selenone by Surface-Enhanced Raman Spectroscopy. ACS OMEGA 2023; 8:36460-36470. [PMID: 37810682 PMCID: PMC10552477 DOI: 10.1021/acsomega.3c05436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/08/2023] [Indexed: 10/10/2023]
Abstract
In the present research work, a selenium N-heterocyclic carbene (Se-NHC) complex/adduct was synthesized and characterized by using different analytical methods including FT-IR, 1HNMR, and 13CNMR. The antifungal activity of the Se-NHC complex against Aspergillus flavus (A. flavus) fungus was investigated with disc diffusion assay. Moreover, the biochemical changes occurring in this fungus due to exposure of different concentrations of the in-house synthesized compound are characterized by surface-enhanced Raman spectroscopy (SERS) and are illustrated in the form of SERS spectral peaks. SERS analysis yields valuable information about the probable mechanisms responsible for the antifungal effects of the Se-NHC complex. As demonstrated by the SERS spectra, this Se-NHC complex caused denaturation and conformational changes in the proteins as well as decomposition of the fungal cell membrane. The SERS spectra were analyzed using two chemometric tools such as principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA). The fungal samples' SERS spectra were differentiated using PCA, while various groups of spectra were discriminated with ultrahigh sensitivity (98%), high specificity (99.7%), accuracy (100%), and area under the receiver operating characteristic curve (87%) using PLS-DA.
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Affiliation(s)
- Noor ul Huda
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Wasim
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Haq Nawaz
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Irfan Majeed
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Rizwan Javed
- Department
of Bioinformatics and Biotechnology, Government
College University Faisalabad (GCUF), Faisalabad 38000, Pakistan
| | - Nosheen Rashid
- Department
of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan
| | - Muhammad Adnan Iqbal
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Anam Tariq
- Department
of Biochemistry, Government College University
Faisalabad (GCUF), Faisalabad 38000, Pakistan
| | - Ahmad Hassan
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Waseem Akram
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Faisal Jamil
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Imran
- Department
of Chemistry, Faculty of Science, King Khalid
University, P.O. Box 9004, Abha 61413, Saudi Arabia
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Shahbaz M, Tariq A, Majeed MI, Nawaz H, Rashid N, Shehnaz H, Kainat K, Hajab H, Tahira M, Huda NU, Tahseen H, Imran M. Qualitative and Quantitative Analysis of Azithromycin as Solid Dosage by Raman Spectroscopy. ACS OMEGA 2023; 8:36393-36400. [PMID: 37810726 PMCID: PMC10552109 DOI: 10.1021/acsomega.3c05245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 09/04/2023] [Indexed: 10/10/2023]
Abstract
Active pharmaceutical ingredients (APIs) and excipients are main drug constituents that ought to be identified qualitatively and quantitatively. Raman spectroscopy is aimed to be an efficient technique for pharmaceutical analysis in solid dosage forms. This technique can successfully be used in terms of qualitative and quantitative analysis of pharmaceutical drugs, their APIs, and excipients. In the proposed research, Raman spectroscopy has been employed to quantify Azithromycin based on its distinctive Raman spectral features by using commercially prepared formulations with altered API concentrations and excipients as well. Along with Raman spectroscopy, principal component analysis and partial least squares regression (PLSR), two multivariate data analysis techniques have been used for the identification and quantification of the API. For PLSR, goodness of fit of the model (R2) was found to be 0.99, whereas root mean square error of calibration was 0.46 and root mean square error of prediction was 2.42, which represent the performance of the model. This study highlights the efficiency of Raman spectroscopy in the field of pharmaceutics by preparing pharmaceutical formulations of any drug to quantify their API and excipients to compensate for the commercially prepared concentrations.
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Affiliation(s)
- Muhammad Shahbaz
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Ayesha Tariq
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Irfan Majeed
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Haq Nawaz
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Nosheen Rashid
- Department
of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan
| | - Hina Shehnaz
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Kiran Kainat
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Hawa Hajab
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Maryam Tahira
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Noor ul Huda
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Hira Tahseen
- Department
of Chemistry, University of Agriculture
Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Imran
- Department
of Chemistry, Faculty of Science, King Khalid
University, P.O. Box 9004, Abha 61413, Saudi Arabia
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10
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Notarstefano V, Belloni A, Mariani P, Orilisi G, Orsini G, Giorgini E, Byrne HJ. Multivariate curve Resolution-Alternating least squares coupled with Raman microspectroscopy: new insights into the kinetic response of primary oral squamous carcinoma cells to cisplatin. Analyst 2023; 148:4365-4372. [PMID: 37548234 DOI: 10.1039/d3an01182h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Raman MicroSpectroscopy (RMS) is a powerful label-free tool to probe the effects of drugs at a cellular/subcellular level. It is important, however, to be able to extract relevant biochemical and kinetic spectroscopic signatures of the specific cellular responses. In the present study, a combination of Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) and Principal Component Analysis (PCA) is used to analyse the RMS data for the example of exposure of primary Oral Squamous Carcinoma Cells (OSCC) to the chemotherapeutic agent cisplatin. Dosing regimens were established by cytotoxicity assays, and the effects of the drug on cellular spectral profiles were monitored from 16 to 72 hours post-exposure using an apoptosis assay, to establish the relative populations of viable (V), early (EA) and late apoptotic/dead (LA/D) cells after the drug treatment. Based on a kinetic model of the progression from V > EA > D, MCR-ALS regression analysis of the RMS responses was able to extract spectral profiles associated with each stage of the cellular responses, enabling a quantitative comparison of the response rates for the respective drug treatments. Moreover, PCA was used to compare the spectral profiles of the viable cells exposed to the drug. Spectral differences were highlighted in the early stages (16 hours exposure), indicative of the initial cellular response to the drug treatment, and also in the late stages (48-72 hours exposure), representing the cell death pathway. The study demonstrates that RMS coupled with multivariate analysis can be used to quantitatively monitor the progression of cellular responses to different drugs, towards future applications for label-free, in vitro, pre-clinical screening.
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Affiliation(s)
- Valentina Notarstefano
- Department of Life and Environmental Sciences, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy.
| | - Alessia Belloni
- Department of Life and Environmental Sciences, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy.
| | - Paolo Mariani
- Department of Life and Environmental Sciences, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy.
| | - Giulia Orilisi
- Department of Clinical Sciences and Stomatology, Università Politecnica delle Marche, Via Brecce Bianche, 60126 Ancona, Italy
| | - Giovanna Orsini
- Department of Clinical Sciences and Stomatology, Università Politecnica delle Marche, Via Brecce Bianche, 60126 Ancona, Italy
| | - Elisabetta Giorgini
- Department of Life and Environmental Sciences, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy.
| | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, City Campus, Dublin, Ireland
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11
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Mirveis Z, Howe O, Cahill P, Patil N, Byrne HJ. Monitoring and modelling the glutamine metabolic pathway: a review and future perspectives. Metabolomics 2023; 19:67. [PMID: 37482587 PMCID: PMC10363518 DOI: 10.1007/s11306-023-02031-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 07/03/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND Analysis of the glutamine metabolic pathway has taken a special place in metabolomics research in recent years, given its important role in cell biosynthesis and bioenergetics across several disorders, especially in cancer cell survival. The science of metabolomics addresses the intricate intracellular metabolic network by exploring and understanding how cells function and respond to external or internal perturbations to identify potential therapeutic targets. However, despite recent advances in metabolomics, monitoring the kinetics of a metabolic pathway in a living cell in situ, real-time and holistically remains a significant challenge. AIM This review paper explores the range of analytical approaches for monitoring metabolic pathways, as well as physicochemical modeling techniques, with a focus on glutamine metabolism. We discuss the advantages and disadvantages of each method and explore the potential of label-free Raman microspectroscopy, in conjunction with kinetic modeling, to enable real-time and in situ monitoring of the cellular kinetics of the glutamine metabolic pathway. KEY SCIENTIFIC CONCEPTS Given its important role in cell metabolism, the ability to monitor and model the glutamine metabolic pathways are highlighted. Novel, label free approaches have the potential to revolutionise metabolic biosensing, laying the foundation for a new paradigm in metabolomics research and addressing the challenges in monitoring metabolic pathways in living cells.
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Affiliation(s)
- Zohreh Mirveis
- FOCAS Research Institute, Technological University Dublin, City Campus, Camden Row, Dublin 8, Ireland.
- School of Physics and Optometric & Clinical Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland.
| | - Orla Howe
- School of Biological, Health and Sport Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland
| | - Paul Cahill
- School of Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland
| | - Nitin Patil
- FOCAS Research Institute, Technological University Dublin, City Campus, Camden Row, Dublin 8, Ireland
- School of Physics and Optometric & Clinical Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland
| | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, City Campus, Camden Row, Dublin 8, Ireland
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12
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Amber A, Nawaz H, Bhatti HN, Mushtaq Z. Surface-enhanced Raman spectroscopy for the characterization of different anatomical subtypes of oral cavity cancer. Photodiagnosis Photodyn Ther 2023:103607. [PMID: 37220841 DOI: 10.1016/j.pdpdt.2023.103607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/04/2023] [Accepted: 05/09/2023] [Indexed: 05/25/2023]
Abstract
BACKGROUND The prognosis for oral cancer patients is still very poor worldwide. Early detection and treatment therapy remain the key issue to be addressed for improved patient survival. The characteristic Raman spectral features associated with the biochemical changes in the blood serum samples can be used for the diagnosis of diseases, particularly for oral cancer. Surface-enhanced Raman spectroscopy (SERS) is a promising technique for non-invasive and early detection of oral cancer by analyzing molecular changes in body fluids. OBJECTIVES To detect oral cavity anatomical subsites (buccal mucosa, cheek, hard palate, lips, mandible, maxilla, tongue and tonsillar region) cancers by using blood serum samples, SERS with principal component analysis is used. MATERIAL AND METHOD SERS is employed with silver nanoparticles for the analysis and detection of oral cancer serum samples by comparing with healthy serum samples. SERS spectra are recorded by Raman instrument and preprocessed using the statistical tool. Principal component analysis (PCA) and Partial least square discriminant analysis (PLS-DA) are used to discriminate between oral cancer serum samples and control serum samples. RESULTS Some major SERS peaks are observed at 1136 cm-1 (Phospholipids) and 1006 cm-1 (Phenylalanine) remain higher in intensities for oral cancer spectra as compared to healthy spectra. The peak at 1241 cm-1 (amide III) is observed only in oral cancer serum samples while absent in healthy serum samples. Higher protein and DNA contents were detected in SERS mean spectra of oral cancer. Moreover, PCA is used to identify the biochemical differences in the form of SERS features which is used to differentiate between oral cancer and healthy blood serum samples, while PLS-DA is used to build differentiation model of oral cancer serum samples and healthy control serum samples. PLS-DA provides successful differentiation with 94% specificity and 95.5% sensitivity. CONCLUSIONS SERS can be used for the diagnosis of oral cancer and to identify metabolic changes that occur during disease development.
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Affiliation(s)
- Arooj Amber
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, (38000), Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, (38000), Pakistan.
| | - Haq Nawaz Bhatti
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, (38000), Pakistan
| | - Zahid Mushtaq
- Department of Biochemistry, University of Agriculture Faisalabad, Faisalabad, (38000), Pakistan
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13
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Ehsan U, Nawaz H, Irfan Majeed M, Rashid N, Ali Z, Zulfiqar A, Tariq A, Shahbaz M, Meraj L, Naheed I, Sadaf N. Surface-enhanced Raman spectroscopy of centrifuged blood serum samples of diabetic type II patients by using 50KDa filter devices. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 293:122457. [PMID: 36764165 DOI: 10.1016/j.saa.2023.122457] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 02/03/2023] [Indexed: 06/18/2023]
Abstract
Blood serum contains essential biochemical information which are used for early disease diagnosis. Blood serum consisted of higher molecular weight fractions (HMWF) and lower molecular weight fractions (LMWF). The disease biomarkers are lower molecular weight fraction proteins, and their contribution to disease diagnosis is suppressed due to higher molecular weight fraction proteins. To diagnose diabetes in early stages are difficult because of the presence of huge amount of these HMWF. In the current study, surface-enhanced Raman spectroscopy (SERS) are employed to diagnose diabetes after centrifugation of serum samples using Amicon ultra filter devices of 50 kDa which produced two fractions of whole blood serum of filtrate, low molecular weight fraction, and residue, high molecular weight fraction. Furthermore SERS is employed to study the LMW fractions of healthy and diseased samples. Some prominent SERS bands are observed at 725 cm-1, 842 cm-1, 1025 cm-1, 959 cm-1, and 1447 cm-1 due to small molecular weight proteins, and these biomarkers helped to diagnose the disease early stage. Moreover, chemometric techniques such as principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) are employed to check the potential of surface-enhanced Raman spectroscopy for the differentiation and classifications of the blood serum samples. SERS can be employed for the early diagnosis and screening of biochemical changes during type II diabetes.
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Affiliation(s)
- Usama Ehsan
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
| | - Zain Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Anam Zulfiqar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ayesha Tariq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Shahbaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Lubna Meraj
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Iqra Naheed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Nimra Sadaf
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
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14
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Pięta E. Nanoscale insight into biochemical changes in cervical cancer cells exposed to adaptogenic drug. Micron 2023; 170:103462. [PMID: 37087964 DOI: 10.1016/j.micron.2023.103462] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/30/2023] [Accepted: 04/16/2023] [Indexed: 04/25/2023]
Abstract
This paper describes for the first time the application of atomic force microscopy-based infrared spectroscopy (AFM-IR) to evaluate cellular response to adaptogen, based on an in vitro model of cervical cancer. HeLa cervical cells were exposed to different concentrations of withaferin A, a very promising anti-cancer adaptogenic substance. AFM-IR approach was used to image single cells post-adaptogen treatment and to track subtle biochemical changes in cells at the nanoscale level. Partial least squares (PLS) regression was applied to build predictive models that allowed for the identification of spectral markers of adaptogen-induced alterations Spectroscopic studies were enriched with fluorescence staining to determine whether the adaptogen affects cell morphology. The results showed that with the increase in the concentration of adaptogen, changes in the cell nucleus and the actin cytoskeleton become more and more significant. It has been demonstrated that the AFM-IR technique can successfully study the cellular response to the anti-cancer agent at the single-cell level with nanoscale spatial resolution. On the basis of the promising findings presented in this paper, it is possible to conclude that withaferin A has great potential in inhibiting the proliferation of cervical cancer cells in a dose-dependent manner. It has been found that both the increase in the concentration of withaferin A and the increase in incubation time with the adaptogen resulted in a decrease in the intensity of the bands assigned to nucleic acids. This may be due to DNA condensation, internuclear cleavage, or degradation during apoptosis. The findings also suggest changes in the secondary structure of proteins that may be a consequence of disruption of the actin cytoskeleton, progressive apoptosis, or significant biochemical changes. Furthermore, noticeable changes were also observed in the bands originating from lipids vibrations, and an increased share of the band near 2920 cm-1, considered an important marker of apoptosis, was noted. The metabolism of carbohydrates in cells also changes under the influence of the adaptogen. AFM-IR provides nanoscale insight into the structural and morphological properties of cells after drug treatment and is an indisputable milestone in the development of new anti-cancer approaches.
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Affiliation(s)
- Ewa Pięta
- Institute of Nuclear Physics, Polish Academy of Sciences, PL-31342 Krakow, Poland.
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15
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Ali Z, Nawaz H, Majeed MI, Rashid N, Mohsin M, Raza A, Shakeel M, Ali MZ, Sabir A, Shahbaz M, Ehsan U, ul Hasan HM. Determination of florfenicol by Raman spectroscopy with principal component analysis (PCA) and partial least squares regression (PLSR). ANAL LETT 2023. [DOI: 10.1080/00032719.2023.2192942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
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16
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Haq AU, Majeed MI, Nawaz H, Rashid N, Javed MR, Raza A, Shakeel M, Zahra ST, Meraj L, Perveen A, Murtaza S, Khaliq S. Surface-enhanced Raman spectroscopy for monitoring antibacterial activity of imidazole derivative (1-benzyl-3-(sec‑butyl)-1H-imidazole-3-ium bromide) against Bacillus subtilis and Escherichia coli. Photodiagnosis Photodyn Ther 2023; 42:103533. [DOI: 10.1016/j.pdpdt.2023.103533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 02/17/2023] [Accepted: 03/21/2023] [Indexed: 04/05/2023]
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17
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Pięta E, Chrabąszcz K, Pogoda K, Suchy K, Paluszkiewicz C, Kwiatek WM. Adaptogenic activity of withaferin A on human cervical carcinoma cells using high-definition vibrational spectroscopic imaging. Biochim Biophys Acta Mol Basis Dis 2023; 1869:166615. [PMID: 36481485 DOI: 10.1016/j.bbadis.2022.166615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 11/28/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022]
Abstract
Despite invaluable advances in cervical cancer therapy, treatment regimens for recurrent or persistent cancers and low-toxicity alternative treatment options are scarce. In recent years, substances classified as adaptogens have been identified as promising drug sources for preventing and treating cancer-based diseases on their ability to attack multiple molecular targets. This paper establishes the effectiveness of inhibition of the neoplastic process by a withaferin A (WFA), an adaptogenic substance, based on an in vitro model of cervical cancer. This study explores for the first time the potential of high-definition vibrational spectroscopy methods, i.e. Fourier-transform infrared (FT-IR) and Raman spectroscopic (RS) imaging at the single-cell level to evaluate the efficacy of the adaptogenic drug. HeLa cervical cancer cells were incubated with various concentrations of WFA at different incubation times. The multimodal spectroscopic approach combined with partial least squares (PLS) regression allowed the identification of molecular changes (e.g., lipids, protein secondary structures, or nucleic acids) induced by WFA at the cellular level. The results clearly illustrate the enormous potential of WFA in inhibiting the proliferation of cervical cancer cells. WFA inhibited the growth of the studied cancer cell line in a dose-dependent manner. Such studies provide comprehensive information on the sensitivity of cells to adaptogenic drugs. This is a fundamental step towards determining the rate and nature of adaptogen-induced changes in cancer cells.
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Affiliation(s)
- Ewa Pięta
- Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 Krakow, Poland.
| | - Karolina Chrabąszcz
- Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 Krakow, Poland
| | - Katarzyna Pogoda
- Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 Krakow, Poland
| | - Klaudia Suchy
- Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 Krakow, Poland
| | | | - Wojciech M Kwiatek
- Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 Krakow, Poland
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18
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Bellissima A, Cucci LM, Sanfilippo V, De Bonis A, Fiorenza R, Scirè S, Marzo T, Severi M, La Mendola D, Notarstefano V, Giorgini E, Satriano C. Pd-Based Hybrid Nanoparticles As Multimodal Theranostic Nanomedicine. ACS APPLIED BIO MATERIALS 2023; 6:483-493. [PMID: 36651801 PMCID: PMC9945085 DOI: 10.1021/acsabm.2c00759] [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] [Indexed: 01/19/2023]
Abstract
A nanodelivery system based on palladium nanoparticles (PdNP) and cisplatin (CisPt) was developed by physisorption of the drug onto the PdNP synthesized via a green redox process, using d-glucose and polyvinylpyrrolidone (PVP) as reducing and stabilizing/capping agents, respectively. UV-vis analysis and H2-evolution measurements were carried out to prove the nanoparticles' capability to act as bimodal theranostic nanomedicine, i.e., having both plasmonic and photocatalytic properties. XPS, XRD, and TEM allowed light to be shed on the chemical composition and morphology of the PdNP. The analysis of the UV-visible spectra evidenced plasmonic peak changes for the hybrid nanoparticle-drug assembly (Pd@CisPt), which pointed to a significant interaction of CisPt with the NP surface. The drug loading was quantitatively estimated by ICP-OES measurements, while DLS and AFM confirmed the strong association of the drug with the nanoparticle surface. The test of SOD-like activity in a cell-free environment proved the maintenance of the antioxidant capability of PdNP also in the Pd@CisPt systems. Finally, Pd@CisPt tested in prostate cancer cells (PC-3 line) unveiled the antitumoral action of the developed nanomedicine, related to reactive oxygen species (ROS) generation, with a condition of protein misfolding/unfolding and DNA damage, as evidenced by cytotoxicity and MitoSOX assays, as well as Raman microspectroscopy, respectively. Cell imaging by confocal microscopy evidenced cellular uptake of the nanoparticles, as well as dynamic processes of copper ion accumulation at the level of subcellular compartments. Finally, cell migration studies upon treatment with Pd@CisPt evidenced a tunable response between the inhibitory effect of CisPt and the enhanced rate of cell migration for the metal NP alone, which pointed out the promising potential of the developed theranostic nanomedicine in tissue regeneration.
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Affiliation(s)
- Alberto Bellissima
- Nano
Hybrid BioInterfaces Laboratory (NHBIL), Department of Chemical Sciences, University of Catania, viale Andrea Doria, 6, 95125Catania, Italy
| | - Lorena M. Cucci
- Nano
Hybrid BioInterfaces Laboratory (NHBIL), Department of Chemical Sciences, University of Catania, viale Andrea Doria, 6, 95125Catania, Italy
| | - Vanessa Sanfilippo
- Nano
Hybrid BioInterfaces Laboratory (NHBIL), Department of Chemical Sciences, University of Catania, viale Andrea Doria, 6, 95125Catania, Italy
| | - Angela De Bonis
- Department
of Science, University of Basilicata, viale dell’Ateneo Lucano,
10, 85100Potenza, Italy
| | - Roberto Fiorenza
- Department
of Chemical Sciences, University of Catania, viale Andrea Doria, 6, 95125Catania, Italy
| | - Salvatore Scirè
- Department
of Chemical Sciences, University of Catania, viale Andrea Doria, 6, 95125Catania, Italy
| | - Tiziano Marzo
- Department
of Pharmacy, University of Pisa, via Bonanno Pisano 6, 56126Pisa, Italy
| | - Mirko Severi
- Department
of Chemistry ‘‘U. Schiff’’, University of Florence, via della Lastruccia 3, 50019Sesto Fiorentino, Italy
| | - Diego La Mendola
- Department
of Pharmacy, University of Pisa, via Bonanno Pisano 6, 56126Pisa, Italy
| | - Valentina Notarstefano
- Department
of Life and Environmental Sciences, Polytechnic
University of Marche, Via Brecce Bianche, 60131Ancona, Italy
| | - Elisabetta Giorgini
- Department
of Life and Environmental Sciences, Polytechnic
University of Marche, Via Brecce Bianche, 60131Ancona, Italy
| | - Cristina Satriano
- Nano
Hybrid BioInterfaces Laboratory (NHBIL), Department of Chemical Sciences, University of Catania, viale Andrea Doria, 6, 95125Catania, Italy,Phone: +39 095 7385136. E-mail:
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19
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Raza A, Parveen S, Majeed MI, Nawaz H, Javed MR, Iqbal MA, Rashid N, Haider MZ, Ali MZ, Sabir A, Mahmood Ul Hasan H, Majeed B. Surface-enhanced Raman spectral characterization of antifungal activity of selenium and zinc based organometallic compounds. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 285:121903. [PMID: 36209714 DOI: 10.1016/j.saa.2022.121903] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 09/14/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS) is used to identify the biochemical changes associated with the antifungal activities of selenium and zinc organometallic complexes against Aspergillus niger fungus. These biochemical changes identified in the form of SERS peaks can help to understand the mechanism of action of these antifungal agents which is important for development of new antifungal drugs. The SERS spectral changes indicate the denaturation and conformational changes of proteins and fungal cell wall decomposition in complex exposed fungal samples. The SERS spectra of these organometallic complexes exposed fungi are analyzed by using statistical tools like principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA). PCA is employed to differentiate the SERS spectra of fungal samples exposed to ligands and complexes. The PLS-DA discriminated different groups of spectra with 99.8% sensitivity, 100% specificity, 98% accuracy and 86 % area under receiver operating characteristic (AUROC) curve.
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Affiliation(s)
- Ali Raza
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Soneya Parveen
- Medicine and Allied, Faisalabad Medical University, Faisalabad 38000, Pakistan
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Muhammad Rizwan Javed
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad 38000, Pakistan
| | - Muhammad Adnan Iqbal
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan
| | | | - Muhammad Zeeshan Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Amina Sabir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Hafiz Mahmood Ul Hasan
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Beenish Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
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20
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Shakeel M, Majeed MI, Nawaz H, Rashid N, Ali A, Haque A, Akbar MU, Tahir M, Munir S, Ali Z, Shahbaz M, Saleem M. Surface-enhanced Raman spectroscopy for the characterization of pellets of biofilm forming bacterial strains of Staphylococcus epidermidis. Photodiagnosis Photodyn Ther 2022; 40:103145. [PMID: 36210039 DOI: 10.1016/j.pdpdt.2022.103145] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 09/20/2022] [Accepted: 10/04/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Surface-enhanced Raman spectroscopy (SERS) is an effective tool for identifying biofilm forming bacterial strains. Biofilm forming bacteria are considered a major issue in the health sector because they have strong resistance against antibiotics. Staphylococcus epidermidis is commonly present on intravascular devices and prosthetic joints, catheters and wounds. OBJECTIVES To identify and characterize biofilm forming and non-biofilm forming bacterial strains, surface- enhanced Raman spectroscopy with principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) were used. METHODS Surface-enhanced Raman spectroscopy (SERS) with silver nanoparticles were employed for the analysis and characterization of biofilm forming bacterial strains. SERS is used to differentiate between non biofilm forming (five samples), medium biofilm forming (five samples) and strong biofilm forming (five samples) bacterial strains by applying silver nanoparticles (AgNPs) as SERS substrate. Principal component analysis (PCA) and Partial least square discriminant analysis (PLS-DA) were used to discriminate between non, medium and strong biofilm ability of bacterial strains. RESULTS Principal component analysis (PCA) and Partial least square discriminant analysis (PLS-DA) have been used to identify the biochemical differences in the form of SERS features which can be used to differentiate between biofilm forming and non-biofilm forming bacterial strains. PLS-DA provides successful differentiation and classification of these different strains with 94.5% specificity, 96% sensitivity and 89% area under the curve (AUC). CONCLUSIONS Surface-enhanced Raman spectroscopy can be utilized to differentiate between non, medium and strong biofilm forming bacterial strains.
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Affiliation(s)
- Muhammad Shakeel
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
| | - Aamir Ali
- National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute of Engineering and Applied Sciences (NIBGE-C, PIEAS), Jhang Road, Faisalabad 38000, Pakistan
| | - Asma Haque
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Umair Akbar
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Tahir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Saania Munir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Zain Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Shahbaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Mudassar Saleem
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
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21
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Akram M, Majeed MI, Nawaz H, Rashid N, Javed MR, Ali MZ, Raza A, Shakeel M, Hasan HMU, Ali Z, Ehsan U, Shahid M. Surface-enhanced Raman spectroscopy for characterization of filtrate portions of blood serum samples of typhoid patients. Photodiagnosis Photodyn Ther 2022; 40:103199. [PMID: 36371020 DOI: 10.1016/j.pdpdt.2022.103199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 11/02/2022] [Accepted: 11/08/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Surface-enhanced Raman spectroscopy (SERS) is explored to design a rapid screening method for the characterization and diagnosis of typhoid fever by employing filtrate fractions of blood serum samples obtained by centrifugal filtration with 50 KDa filters. OBJECTIVES The purpose of this study, to separate the filtrate portions of blood serum samples in this way contain proteins smaller than 50 kDa and removal of bigger size protein which allows to acquire the SERS spectral features of smaller proteins more effectively which are probably associated with typhoid disease. Disease caused by Salmonella typhi diagnose more effectively by using surface-enhanced Raman spectroscopy (SERS) and multivariate data analysis tools. METHODS SERS was used as a diagnostic tool for typhoid fever by comparison between healthy and diseased samples. For this purpose, all the samples were analyzed by comparing their SERS spectral features. Over the spectral range of 400-1800cm-1, multivariate data analysis techniques such as Principal Component Analysis (PCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) are applied to diagnose and differentiate different filtrate fractions of blood serum samples of patients of typhoid fever and healthy ones. RESULTS By comparing SERS spectra of healthy filtrate with that of filtrate of typhoid sample, the SERS spectral features associated with disease development are identified including PCA is found to be efficient for the qualitative differentiation of all of the samples analyzed. Moreover, PLS-DA successfully identified and classified healthy and typhoid positive blood serum samples with 97 % accuracy, 99 % specificity, 91 % sensitivity and 0.78 area under the receiver operating characteristic (AUROC) curve. CONCLUSIONS Surface enhanced Raman spectroscopy using silver nanoparticles SERS substrate, is found to be useful technique for the quick identification and evaluation of filtrate fractions of the blood serum samples of healthy and typhoid samples for disease diagnosis.
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Affiliation(s)
- Maria Akram
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
| | - Muhammad Rizwan Javed
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad 38000, Pakistan
| | - Muhammad Zeeshan Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ali Raza
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Shakeel
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Hafiz Mahmood Ul Hasan
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Zain Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Usama Ehsan
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Shahid
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
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22
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Mushtaq A, Nawaz H, Irfan Majeed M, Rashid N, Tahir M, Zaman Nawaz M, Shahzad K, Dastgir G, Zaki Abdul Bari R, Ul Haq A, Saleem M, Akhtar F. Surface-enhanced Raman spectroscopy (SERS) for monitoring colistin-resistant and susceptible E. coli strains. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 278:121315. [PMID: 35576839 DOI: 10.1016/j.saa.2022.121315] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 03/21/2022] [Accepted: 04/24/2022] [Indexed: 06/15/2023]
Abstract
The emergence of drug-resistant bacteria is a precarious global health concern. In this study, surface-enhanced Raman spectroscopy (SERS) is used to characterize colistin-resistant and susceptible E. coli strains based on their distinguished SERS spectral features for the development of rapid and cost-effective detection and differentiation methods. For this purpose, three colistin-resistant and three colistin susceptible E. coli strains were analyzed by comparing their SERS spectral signatures. Moreover, multivariate data analysis techniques including Principal component analysis (PCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) were used to examine the SERS spectral data of colistin-resistant and susceptible strains. PCA technique was employed for differentiating colistin susceptible and resistant E.coli strains due to alteration in biochemical compositions of the bacterial cell. PLS-DA is employed on SERS spectral data sets for discrimination of these resistant and susceptible E. coli strains with 100% specificity, 100% accuracy, 99.8% sensitivity, and 86% area under receiver operating characteristics (AUROC) curve.
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Affiliation(s)
- Aqsa Mushtaq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
| | - Muhammad Tahir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Zaman Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Kashif Shahzad
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ghulam Dastgir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Rana Zaki Abdul Bari
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Anwar Ul Haq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Mudassar Saleem
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Farwa Akhtar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
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23
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Shafaq S, Irfan Majeed M, Nawaz H, Rashid N, Akram M, Yaqoob N, Tariq A, Shakeel S, Ul Haq A, Saleem M, Zaman Nawaz M, Zaki Abdul Bari R. Quantitative analysis of solid dosage forms of Losartan potassium by Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 272:120996. [PMID: 35149485 DOI: 10.1016/j.saa.2022.120996] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/25/2022] [Accepted: 02/01/2022] [Indexed: 06/14/2023]
Abstract
Raman spectroscopy is an outstanding analytical tool increasingly utilized in the pharmaceutical field for the solid-state pharmaceutical drug analysis. In current study, the potential of Raman spectroscopy has been investigated for qualitative and quantitative analysis of solid dosage form of Losartan potassium. For this purpose, different solid dosage forms/concentrations of losartan potassium were prepared to compensate the commercially available pharmaceutical drug formulations and their Raman spectral data showed a gradual change in the specific Raman spectral features associated with the active pharmaceutical ingredient (API) of Losartan potassium as a function of change in the concentration. The Raman spectral data was analyzed by using Principal Component Analysis (PCA) for the classification of different spectral data sets of different concentrations of drug. Moreover, partial least square regression (PLSR) analysis was performed for monitoring the quantitative relation among different concentrations of Losartan potassium API and spectral data by constructing a predictive model. From the model, the value of root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP) were observed to be 0.38 and 2.98 respectively and the value of goodness of fit was found to be 0.99. Furthermore, the quantity of unknown/blind sample of Losartan potassium formulation was also estimated by using PLSR model. From these results, it is demonstrated that Raman spectroscopy can be considered to be used for quick and reliable quantitative analysis of pharmaceutical solids.
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Affiliation(s)
- Syeda Shafaq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan
| | - Maria Akram
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Nimra Yaqoob
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ayesha Tariq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Samra Shakeel
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Anwar Ul Haq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Mudassar Saleem
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Zaman Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Rana Zaki Abdul Bari
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
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24
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Ashraf MN, Majeed MI, Nawaz H, Iqbal MA, Iqbal J, Iqbal N, Hasan A, Rashid N, Abubakar M, Nawaz MZ, Shahzad K, Haider MZ. Raman spectroscopic characterization of selenium N-heterocyclic carbene compounds. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 270:120823. [PMID: 34998053 DOI: 10.1016/j.saa.2021.120823] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 12/21/2021] [Accepted: 12/25/2021] [Indexed: 06/14/2023]
Abstract
In this study, Raman spectroscopy is employed to analyze and characterize two salts (N-heterocyclic carbene) and their respective selenium N-heterocyclic carbene compounds. The features observed as differences among Raman spectral data of two different N-heterocyclic carbene salts are called Salt-I and Salt-II and their respective Se compounds, called Compound-I & Compound-II, are used to confirm the formation covalent bond between Se atom carbon atom of carbene. Enhancement in peak intensities and shifting of peak positions is directly related with compound formation. Raman spectral data provide a detail information about bond formation, chemical and structural differences between salts and compounds. The observed Raman spectral features of both salts and compounds are in consistent with computationally calculated Raman spectral features. Raman spectral features of each salt and its respective compound was further analyzed with principal component analysis, which was found helpful for differentiating each salt from its respective compound.
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Affiliation(s)
- Muhammad Naeem Ashraf
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
| | - Muhammad Adnan Iqbal
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Javed Iqbal
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Nida Iqbal
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Ahmad Hasan
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan
| | - Muhammad Abubakar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Muhammad Zaman Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Kashif Shahzad
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
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25
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Gaba F, Tipping WJ, Salji M, Faulds K, Graham D, Leung HY. Raman Spectroscopy in Prostate Cancer: Techniques, Applications and Advancements. Cancers (Basel) 2022; 14:cancers14061535. [PMID: 35326686 PMCID: PMC8946151 DOI: 10.3390/cancers14061535] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 03/09/2022] [Accepted: 03/14/2022] [Indexed: 02/04/2023] Open
Abstract
Optical techniques are widely used tools in the visualisation of biological species within complex matrices, including biopsies, tissue resections and biofluids. Raman spectroscopy is an emerging analytical approach that probes the molecular signature of endogenous cellular biomolecules under biocompatible conditions with high spatial resolution. Applications of Raman spectroscopy in prostate cancer include biopsy analysis, assessment of surgical margins and monitoring of treatment efficacy. The advent of advanced Raman imaging techniques, such as stimulated Raman scattering, is creating opportunities for real-time in situ evaluation of prostate cancer. This review provides a focus on the recent preclinical and clinical achievements in implementing Raman-based techniques, highlighting remaining challenges for clinical applications. The research and clinical results achieved through in vivo and ex vivo Raman spectroscopy illustrate areas where these evolving technologies can be best translated into clinical practice.
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Affiliation(s)
- Fortis Gaba
- Department of Urology, Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow G51 4TF, UK; (F.G.); (M.S.)
- School of Medicine, University of Glasgow, Glasgow G12 8QQ, UK
| | - William J. Tipping
- Department for Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1RD, UK; (W.J.T.); (K.F.); (D.G.)
| | - Mark Salji
- Department of Urology, Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow G51 4TF, UK; (F.G.); (M.S.)
- Institute of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G61 1QH, UK
- CRUK Beatson Institute, Bearsden, Glasgow G61 1BD, UK
| | - Karen Faulds
- Department for Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1RD, UK; (W.J.T.); (K.F.); (D.G.)
| | - Duncan Graham
- Department for Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1RD, UK; (W.J.T.); (K.F.); (D.G.)
| | - Hing Y. Leung
- Department of Urology, Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow G51 4TF, UK; (F.G.); (M.S.)
- Institute of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G61 1QH, UK
- CRUK Beatson Institute, Bearsden, Glasgow G61 1BD, UK
- Correspondence:
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26
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The effects of bismuth oxide nanoparticles and cisplatin on MCF-7 breast cancer cells irradiated with Ir-192 High Dose Rate brachytherapy. JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES 2022. [DOI: 10.1016/j.jrras.2022.01.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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27
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Lv W, Fu B, Li M, Kang Y, Bai S, Lu C. Determination of IC 50 values of anticancer drugs on cells by D 2O - single cell Raman spectroscopy. Chem Commun (Camb) 2022; 58:2355-2358. [PMID: 35080537 DOI: 10.1039/d1cc06857a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A simple, sensitive and repeatable D2O-single cell Raman spectroscopy method is developed to quantify the inhibitory activity of anticancer drugs on cancer cell metabolism. The IC50 values obtained from A549 cells incubated with cisplatin and taxol are comparable with results of CCK-8 and ATP luminescent cell viability assays.
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Affiliation(s)
- Wanxue Lv
- State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing 100029, China. .,Center for Advanced Measurement Science (Institute of Life Science Metrology), National Institute of Metrology China, Beijing 100029, China.
| | - Boqiang Fu
- Center for Advanced Measurement Science (Institute of Life Science Metrology), National Institute of Metrology China, Beijing 100029, China.
| | - Manli Li
- Center for Advanced Measurement Science (Institute of Life Science Metrology), National Institute of Metrology China, Beijing 100029, China.
| | - Yu Kang
- State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
| | - Shouli Bai
- State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
| | - Chao Lu
- State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
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28
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Wang H, Li J, Qin J, Li J, Chen Y, Song D, Zeng H, Wang S. Investigating the cellular responses of osteosarcoma to cisplatin by confocal Raman microspectroscopy. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY. B, BIOLOGY 2022; 226:112366. [PMID: 34826719 DOI: 10.1016/j.jphotobiol.2021.112366] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 11/03/2021] [Accepted: 11/16/2021] [Indexed: 06/13/2023]
Abstract
Confocal Raman Microspectroscopy (CRM) was employed to clarify the cellular response of cisplatin in osteosarcoma (OS) cells with different dosages and incubation times. The K7M2 mouse osteosarcoma cells were treated by cisplatin in 0 μM (UT group), 20 μM (20 T group), and 40 μM (40 T group) doses for 24-h (24H group) and 48-h (48H group), respectively. Raman spectroscopy was utilized to analyze the drug induced variations of intracellular biochemical components in osteosarcoma cells. The spectral results shows that the main changes in its biochemical composition come from nucleic acids. By adopting three different kernel functions (linear, polynomial, and Gaussian radial basis function (RBF)), principal component analysis combined with support vector machine models (PCA-SVM) was built to address the spectral variations among all investigated groups. Meanwhile, multivariate curve resolution alternating least squares (MCR-ALS) was further utilized to discuss on the chemical interpretation on the acquired spectral results. Moreover, Raman spectral images, which is reconstructed by K-means cluster analysis (KCA) with point-scanned hyperspectral dataset, was applied to illustrate the drug induced compositional and morphological variations in each subcellular region. The achieved results not only prove the application potential of Raman based analytical technique in non-labeled intracellular studies, but also illustrate the detailed compositional and structural information of cisplatin induced OS cell responses from the perspective of multivariate analysis and imaging of Raman spectroscopy.
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Affiliation(s)
- Haifeng Wang
- State Key Laboratory of Photon-Technology in Western China Energy, Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710127, China
| | - Jing Li
- Department of Orthopedics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China
| | - Jie Qin
- Department of Orthopedics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.
| | - Jie Li
- State Key Laboratory of Photon-Technology in Western China Energy, Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710127, China
| | - Yishen Chen
- State Key Laboratory of Photon-Technology in Western China Energy, Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710127, China
| | - Dongliang Song
- State Key Laboratory of Photon-Technology in Western China Energy, Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710127, China
| | - Haishan Zeng
- Imaging Unit - Integrative Oncology Department, BC Cancer Research Center, Vancouver, BC, V5Z1L3, Canada
| | - Shuang Wang
- State Key Laboratory of Photon-Technology in Western China Energy, Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710127, China.
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29
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Grieve S, Puvvada N, Phinyomark A, Russell K, Murugesan A, Zed E, Hassan A, Legare JF, Kienesberger PC, Pulinilkunnil T, Reiman T, Scheme E, Brunt KR. Nanoparticle surface-enhanced Raman spectroscopy as a noninvasive, label-free tool to monitor hematological malignancy. Nanomedicine (Lond) 2021; 16:2175-2188. [PMID: 34547916 DOI: 10.2217/nnm-2021-0076] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Aim: Monitoring minimal residual disease remains a challenge to the effective medical management of hematological malignancies; yet surface-enhanced Raman spectroscopy (SERS) has emerged as a potential clinical tool to do so. Materials & methods: We developed a cell-free, label-free SERS approach using gold nanoparticles (nanoSERS) to classify hematological malignancies referenced against two control cohorts: healthy and noncancer cardiovascular disease. A predictive model was built using machine-learning algorithms to incorporate disease burden scores for patients under standard treatment upon. Results: Linear- and quadratic-discriminant analysis distinguished three cohorts with 69.8 and 71.4% accuracies, respectively. A predictive nanoSERS model correlated (MSE = 1.6) with established clinical parameters. Conclusion: This study offers a proof-of-concept for the noninvasive monitoring of disease progression, highlighting the potential to incorporate nanoSERS into translational medicine.
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Affiliation(s)
- Stacy Grieve
- Department of Biology, University of New Brunswick, Saint John, New Brunswick, Canada.,IMPART investigator team, Canada
| | - Nagaprasad Puvvada
- Department of Pharmacology, Dalhousie University, Saint John, New Brunswick, Canada.,Department of Chemistry, Indrashil University, Gujarat, India
| | - Angkoon Phinyomark
- IMPART investigator team, Canada.,Institute of Biomedical Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada
| | - Kevin Russell
- Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada
| | - Alli Murugesan
- Department of Biology, University of New Brunswick, Saint John, New Brunswick, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada
| | - Elizabeth Zed
- Department of Oncology, Saint John Regional Hospital, Saint John, New Brunswick, Canada
| | - Ansar Hassan
- IMPART investigator team, Canada.,Department of Cardiac Surgery, Saint John Regional Hospital, Saint John, New Brunswick, Canada
| | - Jean-Francois Legare
- IMPART investigator team, Canada.,Department of Cardiac Surgery, Saint John Regional Hospital, Saint John, New Brunswick, Canada
| | - Petra C Kienesberger
- IMPART investigator team, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada.,Department of Biochemistry & Molecular Biology, Dalhousie University, Saint John, New Brunswick, Canada
| | - Thomas Pulinilkunnil
- IMPART investigator team, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada.,Department of Biochemistry & Molecular Biology, Dalhousie University, Saint John, New Brunswick, Canada
| | - Tony Reiman
- Department of Biology, University of New Brunswick, Saint John, New Brunswick, Canada.,IMPART investigator team, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada.,Department of Oncology, Saint John Regional Hospital, Saint John, New Brunswick, Canada
| | - Erik Scheme
- IMPART investigator team, Canada.,Institute of Biomedical Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada
| | - Keith R Brunt
- IMPART investigator team, Canada.,Department of Pharmacology, Dalhousie University, Saint John, New Brunswick, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada
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Li J, Li J, Wang H, Qin J, Zeng H, Wang K, Wang S. Unveiling osteosarcoma responses to DAPT combined with cisplatin by using confocal Raman microscopy. BIOMEDICAL OPTICS EXPRESS 2021; 12:5514-5528. [PMID: 34692198 PMCID: PMC8515968 DOI: 10.1364/boe.432933] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 07/30/2021] [Accepted: 07/30/2021] [Indexed: 06/13/2023]
Abstract
The aim of this study was to clarify the dose- and time-dependent effect of the γ-secretase inhibitor (DAPT) combined with cisplatin on osteosarcoma (OS) cells, evaluated by confocal Raman microspectral imaging (CRMI) technology. The intracellular composition significantly changed after combined drug action compared with the sole cisplatin treatment, proving the synergistic effect of DAPT combined with cisplatin on OS cells. The principal component analysis-linear discriminant analysis revealed the main compositional variations by distinguishing spectral characteristics. K-means cluster and univariate imaging were used to visualize the changes in subcellular morphology and biochemical distribution. The results showed that the increase of the DAPT dose and cisplatin treatment time in the combination treatment induced the division of the nucleus in OS cells, and other organelles also showed significant physiological changes compared with the effect of sole cisplatin treatment. After understanding the cellular response to the combined drug treatment at a molecular level, the achieved results provide an experimental fact for developing suitable individualized tumor treatment protocols.
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Affiliation(s)
- Jie Li
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710069, China
- These authors contributed equally to this work
| | - Jing Li
- Department of Orthopaedics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China
- These authors contributed equally to this work
| | - Haifeng Wang
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710069, China
| | - Jie Qin
- Department of Orthopaedics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China
| | - Haishan Zeng
- Imaging Unit-Integrative Oncology Department, BC Cancer Research Centre, Vancouver, BC, V5Z1L3, Canada
| | - Kaige Wang
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710069, China
| | - Shuang Wang
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710069, China
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Wang H, Li J, Qin J, Li J, Chen Y, Song D, Zeng H, Wang S. Confocal Raman microspectral analysis and imaging of the drug response of osteosarcoma to cisplatin. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:2527-2536. [PMID: 34008598 DOI: 10.1039/d1ay00626f] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Confocal Raman microspectral analysis and imaging were used to elucidate the drug response of osteosarcoma (OS) to cisplatin. Raman spectral data were obtained from OS cells that were untreated (UT group) and treated with 20 µM (20T group) and 40 µM (40T group) cisplatin for 24 hours. Statistical analysis of the changes in specific Raman signals was performed using a one-way ANOVA and multiple Tukey's honest significant difference (HSD) post hoc tests. Principal component analysis-linear discriminant analysis (PCA-LDA) was used to highlight the featured cellular drug responses based on the obtained spectral information. For spectral imaging analysis, k-means cluster analysis (KCA) was adopted to clarify the effect of cisplatin dose changes on the subcellular structure and its biochemical composition. The results suggest that the major biochemical changes induced by cisplatin in OS cells undergoing apoptosis are reduced protein and nucleic acid content. Through univariate analysis, the changes in the distribution of nucleic acids in OS cells induced by different doses of cisplatin were obtained. The combination of Raman spectroscopy and multivariate analysis shows that cisplatin mainly acts on the nucleus and causes changes in the secondary structure of proteins. These results indicate that Raman imaging technology has the potential to offer the basis of dose optimization for personalized cancer treatment by helping to understand in vitro cellular drug interactions.
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Affiliation(s)
- Haifeng Wang
- State Key Laboratory of Photon-Technology in Western China Energy, Institute of Photonics and Photon-Technology, Northwest University, #1 Xuefu Avenue, Guodu Education and Technology Industrial Zone Chang'an District, Xi'an, Shaanxi 710127, China.
| | - Jing Li
- Department of Orthopedics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China
| | - Jie Qin
- Department of Orthopedics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China
| | - Jie Li
- State Key Laboratory of Photon-Technology in Western China Energy, Institute of Photonics and Photon-Technology, Northwest University, #1 Xuefu Avenue, Guodu Education and Technology Industrial Zone Chang'an District, Xi'an, Shaanxi 710127, China.
| | - Yishen Chen
- State Key Laboratory of Photon-Technology in Western China Energy, Institute of Photonics and Photon-Technology, Northwest University, #1 Xuefu Avenue, Guodu Education and Technology Industrial Zone Chang'an District, Xi'an, Shaanxi 710127, China.
| | - Dongliang Song
- State Key Laboratory of Photon-Technology in Western China Energy, Institute of Photonics and Photon-Technology, Northwest University, #1 Xuefu Avenue, Guodu Education and Technology Industrial Zone Chang'an District, Xi'an, Shaanxi 710127, China.
| | - Haishan Zeng
- Imaging Unit - Integrative Oncology Department, BC Cancer Research Center, Vancouver, BC V5Z1L3, Canada
| | - Shuang Wang
- State Key Laboratory of Photon-Technology in Western China Energy, Institute of Photonics and Photon-Technology, Northwest University, #1 Xuefu Avenue, Guodu Education and Technology Industrial Zone Chang'an District, Xi'an, Shaanxi 710127, China.
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Notarstefano V, Sabbatini S, Pro C, Belloni A, Orilisi G, Rubini C, Byrne HJ, Vaccari L, Giorgini E. Exploiting fourier transform infrared and Raman microspectroscopies on cancer stem cells from oral squamous cells carcinoma: new evidence of acquired cisplatin chemoresistance. Analyst 2021; 145:8038-8049. [PMID: 33063801 DOI: 10.1039/d0an01623c] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Oral Squamous Cells Carcinoma (OSCC) is characterised by the risk of recurrence and the onset of a refractoriness response to chemotherapy drugs. These phenomena have been recently related to a subpopulation of Cancer Stem Cells (CSCs), which have either an innate or acquired drug resistance, triggered by chemotherapy treatments. In this light, to precisely target chemotherapy regimens, it is essential to improve knowledge on CSCs, with a particular focus on their molecular features. In this work, a subpopulation of CSCs, isolated by tumour sphere formation from primary OSCC cells, were treated with cisplatin for 16, 24 and 48 hours and analysed by infrared absorption and Raman microspectroscopies. CSC spectral data were compared with those obtained in previous work, for primary OSCC cells treated under the same conditions. Routine viability/apoptosis cell-based assays evidenced in CSCs and primary OSCCs, a similar degree of sensitivity to the drug at 24 hours, while a reversion of the conventional monotonic time response exhibited by OSCCs was shown by CSCs at 48 hours. This peculiar time response was also supported by the analysis of IR and Raman data, which pinpointed alterations in the lipid composition and DNA conformation in CSCs. The results obtained suggest that CSCs, although sharing with OSCC cells a similar sensitivity to cisplatin, display the onset of a mechanism of chemoresistance and enrichment of resistant CSCs as a result of drug treatment, shedding new light on the severe issue of refractoriness of some patients to chemotherapy conventionally used for OSCC.
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Affiliation(s)
- Valentina Notarstefano
- Department of Life and Environmental Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy.
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Rammal H, Al Assaad A, Dosio F, Stella B, Maksimenko A, Mura S, Van Gulick L, Callewaert M, Desmaële D, Couvreur P, Morjani H, Beljebbar A. Investigation of squalene-doxorubicin distribution and interactions within single cancer cell using Raman microspectroscopy. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2021; 35:102404. [PMID: 33932593 DOI: 10.1016/j.nano.2021.102404] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 03/10/2021] [Accepted: 04/08/2021] [Indexed: 11/17/2022]
Abstract
Intracellular distribution of doxorubicin (DOX) and its squalenoylated (SQ-DOX) nanoparticles (NPs) form in murine lung carcinoma M109 and human breast carcinoma MDA-MB-231 cells was investigated by Raman microspectroscopy. Pharmacological data showed that DOX induced higher cytotoxic effect than SQ-DOX NPs. Raman data were obtained using single-point measurements and imaging on the whole cell areas. These data showed that after DOX treatment at 1 μM, the spectral features of DOX were not detected in the M109 cell cytoplasm and nucleus. However, the intracellular distribution of SQ-DOX NPs was higher than DOX in the same conditions. In addition, SQ-DOX NPs were localized into both cell cytoplasm and nucleus. After 5 μM treatment, Raman bands of DOX at 1211 and 1241 cm-1 were detected in the nucleus. Moreover, the intensity ratio of these bands decreased, indicating DOX intercalation into DNA. However, after treatment with SQ-DOX NPs, the intensity of these Raman bands increased. Interestingly, with SQ-DOX NPs, the intensity of 1210/1241 cm-1 ratio was higher suggesting a lower fraction of intercalated DOX in DNA and higher amount of non-hydrolyzed SQ-DOX. Raman imaging data confirm this subcellular localization of these drugs in both M109 and MDA-MB-231 cells. These finding brings new insights to the cellular characterization of anticancer drugs at the molecular level, particularly in the field of nanomedicine.
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Affiliation(s)
- Hassan Rammal
- Translational BioSpectrocopy, BioSpecT, EA 7506, Université de Reims, Faculté de Pharmacie, Reims, France.
| | - Almar Al Assaad
- Translational BioSpectrocopy, BioSpecT, EA 7506, Université de Reims, Faculté de Pharmacie, Reims, France.
| | - Franco Dosio
- Department of Drug Science and Technology, University of Torino, Torino, Italy.
| | - Barbara Stella
- Department of Drug Science and Technology, University of Torino, Torino, Italy.
| | - Andrei Maksimenko
- Institut Galien Paris-Saclay CNRS UMR8612, Université Paris-Saclay, Faculté de Pharmacie, Châtenay-Malabry, France..
| | - Simona Mura
- Institut Galien Paris-Saclay CNRS UMR8612, Université Paris-Saclay, Faculté de Pharmacie, Châtenay-Malabry, France..
| | - Laurence Van Gulick
- Translational BioSpectrocopy, BioSpecT, EA 7506, Université de Reims, Faculté de Pharmacie, Reims, France; Institut de Chimie Moléculaire de Reims, ICMR - UMR 7312, Université de Reims, Faculté de Pharmacie, Reims, France.
| | - Maïté Callewaert
- Institut de Chimie Moléculaire de Reims, ICMR - UMR 7312, Université de Reims, Faculté de Pharmacie, Reims, France.
| | - Didier Desmaële
- Institut Galien Paris-Saclay CNRS UMR8612, Université Paris-Saclay, Faculté de Pharmacie, Châtenay-Malabry, France..
| | - Patrick Couvreur
- Institut Galien Paris-Saclay CNRS UMR8612, Université Paris-Saclay, Faculté de Pharmacie, Châtenay-Malabry, France..
| | - Hamid Morjani
- Translational BioSpectrocopy, BioSpecT, EA 7506, Université de Reims, Faculté de Pharmacie, Reims, France.
| | - Abdelilah Beljebbar
- Translational BioSpectrocopy, BioSpecT, EA 7506, Université de Reims, Faculté de Pharmacie, Reims, France.
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Bashir S, Nawaz H, Majeed MI, Mohsin M, Abdullah S, Ali S, Rashid N, Kashif M, Batool F, Abubakar M, Ahmad S, Abdulraheem A. Rapid and sensitive discrimination among carbapenem resistant and susceptible E. coli strains using Surface Enhanced Raman Spectroscopy combined with chemometric tools. Photodiagnosis Photodyn Ther 2021; 34:102280. [PMID: 33823284 DOI: 10.1016/j.pdpdt.2021.102280] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 03/08/2021] [Accepted: 03/29/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Raman spectroscopy is a powerful technique for the robust, reliable and rapid detection and discrimination of bacteria. OBJECTIVES To develop a rapid and sensitive technique based on surface-enhanced Raman spectroscopy (SERS) with multivariate data analysis tools for discrimination among carbapenem resistant and susceptible E. coli strains. METHODS SERS was employed to differentiate different strains of carbapenem resistant and susceptible E. coli by using silver nanoparticles (Ag NPs) as a SERS substrate. For this purpose, four strains of carbapenem resistant and three strains of carbapenem susceptible E. coli were analyzed by comparing their SERS spectral signatures. Furthermore, multivariate data analysis techniques including Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) were performed over the spectral range of 400-1800 cm-1 (fingerprint region) for the identification and differentiation of different E. coli strains. RESULTS The SERS spectral features associated with resistant development against carbapenem antibiotics were separated by comparing each spectrum of susceptible strains with each resistant strain. PCA and HCA were found effective for the qualitative differentiation of all the strains analysed. PLS-DA successfully discriminated the carbapenem resistant and susceptible E. coli pellets on the strain level with 99.8 % sensitivity, 100 % specificity, 100 % accuracy and 86 % area under receiver operating characteristic (AUROC) curve. CONCLUSION SERS can be employed for the rapid discrimination among carbapenem resistant and susceptible strains of E. coil.
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Affiliation(s)
- Saba Bashir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
| | - Mashkoor Mohsin
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
| | - Sabahat Abdullah
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Saqib Ali
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Central Punjab, Faisalabad Campus, Faisalabad, Pakistan
| | - Muhammad Kashif
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Fatima Batool
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Muhammad Abubakar
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Shamsheer Ahmad
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
| | - Aliza Abdulraheem
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan
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35
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Nargis HF, Nawaz H, Bhatti HN, Jilani K, Saleem M. Comparison of surface enhanced Raman spectroscopy and Raman spectroscopy for the detection of breast cancer based on serum samples. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 246:119034. [PMID: 33049470 DOI: 10.1016/j.saa.2020.119034] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 09/25/2020] [Accepted: 09/27/2020] [Indexed: 05/20/2023]
Abstract
In this study, surface enhanced Raman spectroscopy (SERS) and Raman spectroscopy (RS), are employed for the classification of different stages of breast cancer using clinically diagnosed serum samples from breast cancer patients and healthy individuals. These serum samples are compared for their spectral features acquired by SERS and RS to establish spectral features that can be considered as spectral markers of breast cancer diagnosis and classification. SERS features related to DNA, proteins and lipids were observed which are solely observed in the serum samples of patients at different stages of breast cancer as compared to healthy samples. In order to explore the capability of SERS and RS and their comparison as an analytical tool for the efficient understanding of the progression of breast cancer, Principal Component Analysis (PCA) is done for the SERS and RS spectra of control, stage 2, stage 3 and stage 4. Furthermore, the Partial Least Squares-Discriminant Analysis (PLS-DA) was performed to compare the diagnostic performance of SERS and Raman spectroscopy for the classification of disease positive samples and healthy ones. The sensitivity and specificity and area under receiver operating characteristic (AUROC) curve values for SERS data were 90%, 98.4%, and 94% respectively which were higher as compared to Raman spectral data for which these values were found to be 88.2%, 97.7%, and 83.4% respectively.
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Affiliation(s)
- H F Nargis
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - H Nawaz
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan.
| | - H N Bhatti
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - K Jilani
- Department of Biochemistry, University of Agriculture, Faisalabad, Pakistan
| | - M Saleem
- National Institute of Lasers and Optronics (NILOP), Islamabad, Pakistan
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36
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Lopez-Gonzalez U, Casey A, J Byrne H. Monitoring the biochemical changes occurring to human keratinocytes exposed to solar radiation by Raman spectroscopy. JOURNAL OF BIOPHOTONICS 2021; 14:e202000337. [PMID: 33098270 DOI: 10.1002/jbio.202000337] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 10/20/2020] [Accepted: 10/21/2020] [Indexed: 06/11/2023]
Abstract
Solar radiation exposure is recognised to be a significant contributor to the development of skin cancer. Monitoring the simultaneous and consecutive mechanisms of interaction could provide a greater understanding of the process of photocarcinogenesis. This work presents an analysis of the biochemical and morphological changes occurring to immortalised human epithelial keratinocyte (HaCaT) cell cultures exposed to simulated solar radiation (SSR). Cell viability was monitored with the aid of the Alamar Blue assay, morphological examination was done with haematoxylin and eosin staining (H&E) and changes to the biochemical constituents (nucleic acids and proteins) as a result of the radiation insult were demonstrated through a combination of Raman microspectroscopy and multivariate analysis of spectral patterns. The spectral results suggest that SSR induces changes to the conformational structure of DNA as an immediate result of the radiation, whereas alteration in the protein signature is mostly seen as a later response.
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Affiliation(s)
- Ulises Lopez-Gonzalez
- School of Physics, Nanolab Research Center, FOCAS Research Institute, Technological University Dublin, Dublin, Ireland
- FOCAS Research Institute, Technological University Dublin, Dublin, Ireland
| | - Alan Casey
- School of Physics, Nanolab Research Center, FOCAS Research Institute, Technological University Dublin, Dublin, Ireland
| | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, Dublin, Ireland
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Bakkar MA, Nawaz H, Majeed MI, Naseem A, Ditta A, Rashid N, Ali S, Bajwa J, Bashir S, Ahmad S, Hyat H, Bukhari KS, Bonnier F. Raman spectroscopy for the qualitative and quantitative analysis of solid dosage forms of Sitagliptin. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 245:118900. [PMID: 32920444 DOI: 10.1016/j.saa.2020.118900] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 08/21/2020] [Accepted: 08/26/2020] [Indexed: 06/11/2023]
Abstract
To demonstrate the potential of Raman spectroscopy for the qualitative and quantitative analysis of solid dosage pharmacological formulations, different concentrations of Sitagliptin, an Active Pharmaceutical Ingredient (API) currently prescribed as an anti-diabetic drug, are characterised. Increase of the API concentrations induces changes in the Raman spectral features specifically associated with the drug and excipients. Principal Component Analysis (PCA) and Partial Least Squares Regression (PLSR), were used for the qualitative and quantitative analysis of the spectral responses. A PLSR model is constructed which enables the prediction of different concentrations of drug in the complex excipient matrices. During the development of the prediction model, the Root Mean Square Error of Cross Validation (RMSECV) was found to be 0.36 mg and the variability explained by the model, according to the (R2) value, was found to be 0.99. Moreover, the concentration of the API in the unknown sample was determined. This concentration was predicted to be 64.28/180 mg (w/w), compared to the 65/180 mg (w/w). These findings demonstrate Raman spectroscopy coupled to PLSR analysis to be a reliable tool to verify Sitagliptin contents in the pharmaceutical samples based on calibration models prepared under laboratory conditions.
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Affiliation(s)
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan.
| | | | - Ammara Naseem
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - Allah Ditta
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Central Punjab, Faisalabad Campus, Faisalabad, Pakistan
| | - Saqib Ali
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - Jawad Bajwa
- Department of Chemistry, Government College University, Faisalabad, Pakistan
| | - Saba Bashir
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - Shamsheer Ahmad
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - Hamza Hyat
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | | | - Franck Bonnier
- EA 6295 Nano-médicaments and Nano-sondes, Université de Tours, Tours, France
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Fermentation by Probiotic Lactobacillus gasseri Strains Enhances the Carotenoid and Fibre Contents of Carrot Juice. Foods 2020; 9:foods9121803. [PMID: 33291830 PMCID: PMC7762057 DOI: 10.3390/foods9121803] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/01/2020] [Accepted: 12/01/2020] [Indexed: 12/20/2022] Open
Abstract
Carrot juice (straight, 8.5 Brix and concentrated, 15.2 Brix) was fermented by lactic acid bacteria (Lactobacillus gasseri strain DSM 20604 or DSM 20077). Fermentation enhanced the nutritional profile of carrot juice. There was a greater sugar reduction (27%) in fermented straight carrot juices than in the fermented concentrated juices (15%). The sugar reduction was independent of the strain used for fermentation. The two L. gasseri strains synthesised fructosyltransferase enzymes during fermentation of carrot juice samples that enabled conversion of simple sugars primarily into polysaccharides. The level of conversion to polysaccharides was dependent on the L. gasseri strain and juice concentration. Fermentation of carrot juice by L. gasseri enables the production of a nutritionally-enhanced beverage with reduced calorie and prebiotic potential. An additional benefit is the increased carotenoid content observed in straight and concentrated juices fermented by Lactobacillus gasseri DSM 20077 and the concentrated juice fermented by Lactobacillus gasseri DSM 20604.
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Abstract
State of the art of quantitative Vibrational Spectroscopic analysis of human blood serum is reviewed. Technical considerations for infrared absorption and Raman analysis are discussed. Quantitative analyses of Endogenous and Exogenous constituents are presented. The potential for clinical translation of spectroscopic serology is argued.
Analysis of bodily fluids using vibrational spectroscopy has attracted increasing attention in recent years. In particular, infrared spectroscopic screening of blood products, particularly blood serum, for disease diagnostics has been advanced considerably, attracting commercial interests. However, analyses requiring quantification of endogenous constituents or exogenous agents in blood are less well advanced. Recent advances towards this end are reviewed, focussing on infrared and Raman spectroscopic analyses of human blood serum. The importance of spectroscopic analysis in the native aqueous environment is highlighted, and the relative merits of infrared absorption versus Raman spectroscopy are considered, in this context. It is argued that Raman spectroscopic analysis is more suitable to quantitative analysis in liquid samples, and superior performance for quantification of high and low molecular weight components, is demonstrated. Applications for quantitation of viral loads, and therapeutic drug monitoring are also discussed.
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40
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Li J, Qin J, Zeng H, Li J, Wang K, Wang S. Unveiling dose- and time-dependent osteosarcoma cell responses to the γ-secretase inhibitor, DAPT, by confocal Raman microscopy. JOURNAL OF BIOPHOTONICS 2020; 13:e202000238. [PMID: 32697432 DOI: 10.1002/jbio.202000238] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Revised: 07/06/2020] [Accepted: 07/19/2020] [Indexed: 05/08/2023]
Abstract
Using confocal Raman micro-spectroscopy, this study aims to elucidate the cellular responses of the γ-secretase inhibitor, N-[N-(3,5-difluorophenacetyl)-L-alanyl]-S-phenylglycine t-butyl ester (DAPT), in osteosarcoma (OS) cells in a dose- and time-dependent manner. The K7M2 murine OS cell line was treated with different DAPT doses (0, 10, 20, and 40 μM) for 24 and 48 hours before investigations. Significant compositional changes (nucleic acids, protein and lipid) after DAPT treatment were addressed, which testified inhibitory effect of DAPT on the growth of OS cells. Moreover, both partial least squares-discriminant analysis (PLS-DA) and principal component analysis-linear discriminant analysis (PCA-LDA) analyses revealed governing composition variations among groups by distinguishing their spectral characteristics. Furthermore, by adopting leave-one-out cross validation method, it is shown that PLS-DA exhibited more classification capacity than PCA-LDA algorithm. Hence, by understanding the DAPT-based cellular variations, the achieved results provided an experimental foundation to establish new DAPT-based anticancer therapeutic strategies, and preclinical Raman analytical methodologies on drug-cell interactions.
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Affiliation(s)
- Jie Li
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi, China
| | - Jie Qin
- Department of Orthopedics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Haishan Zeng
- Imaging Unit-Integrative Oncology Department, BC Cancer Research Center, Vancouver, BC, Canada
| | - Jing Li
- Department of Orthopedics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Kaige Wang
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi, China
| | - Shuang Wang
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi, China
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41
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Wickramasinghe NN, Hlaing MM, Ravensdale JT, Coorey R, Chandry PS, Dykes GA. Characterization of the biofilm matrix composition of psychrotrophic, meat spoilage pseudomonads. Sci Rep 2020; 10:16457. [PMID: 33020559 PMCID: PMC7536239 DOI: 10.1038/s41598-020-73612-0] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 09/11/2020] [Indexed: 02/02/2023] Open
Abstract
Psychrotrophic Pseudomonas species are the key spoilage bacteria of aerobically stored chilled meat. These organisms readily form biofilms on meat under refrigerated conditions leading to consumer rejection and associated economic losses. Limited information is available on the matrix composition of the biofilms formed by these bacteria. We quantified and characterized the main components of the matrix of mono-species biofilms of selected Pseudomonas fragi and Pseudomonas lundensis strains using chemical analysis and Raman spectroscopy. The biofilms were grown at 10 °C and 25 °C on nitro-cellulose membranes placed on surface sterilized beef cuts. Extra-cellular polymeric substances of the matrix were extracted in soluble and bound forms and were chemically assessed for total carbohydrates, proteins and extra-cellular DNA. Both Pseudomonas species showed a significant increase in total carbohydrates and total proteins when grown at 10 °C as compared to 25 °C. Extra-cellular DNA did not show a strong correlation with growth temperature. Raman spectra were obtained from planktonic bacteria and membrane grown biofilms at 10 °C and 25 °C. Higher levels of guanine were detected in planktonic cells as compared to biofilm cells. This study suggests that psychrotrophic Pseudomonas species may respond to cold stress by increasing extra-cellular polymer secretions.
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Affiliation(s)
- Nirmani N Wickramasinghe
- School of Public Health, Curtin University, Bentley, WA, 6102, Australia
- CSIRO, Agriculture and Food, Werribee, VIC, 3030, Australia
| | - Mya M Hlaing
- CSIRO, Agriculture and Food, Werribee, VIC, 3030, Australia
| | | | - Ranil Coorey
- School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102, Australia
| | | | - Gary A Dykes
- Graduate Research School, Curtin University, Bentley, WA, 6102, Australia.
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42
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Li J, Li J, Qin J, Zeng H, Wang K, Wang D, Wang S. Confocal Raman microspectroscopic analysis on the time-dependent impact of DAPT, a γ-secretase inhibitor, to osteosarcoma cells. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 239:118372. [PMID: 32416170 DOI: 10.1016/j.saa.2020.118372] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 04/10/2020] [Accepted: 04/13/2020] [Indexed: 06/11/2023]
Abstract
Confocal Raman microspectroscopy (CRM) analysis provides subcellular compositional and morphology related information. In this study, we used CRM in conjunction with multivariate statistical analysis to elucidate the time-dependent impact of the γ-secretase inhibitor, DAPT (N-[N-(3,5-difluorophenacetyl)-L-alanyl]-S-phenylglycine t-butyl ester) of osteosarcoma (OS) cells. The interactions of DAPT (20 μM) with a murine OS cell line K7M2 at 24 and 48 h were monitored. The spectral characteristics of drug action were identified to illustrate the cellular compositional alterations, showing that DAPT induced apoptosis by reducing the protein, lipid and nucleic acid content and structural changes. Multivariate algorithms, principal component analysis (PCA) and linear discriminant analysis (LDA) revealed a clear separation among cells in the untreated control (UT), 24H (DAPT-treated for 24 h), and 48H (DAPT-treated for 48 h) groups, achieving sensitivities of 100%, 96%, 100% and specificities of 98%, 100%, 100%, respectively. After point-scanned spectral imaging, K-means clustering analysis (KCA) was further used to visualize sub-cellular morphological changes and the underlying spectral characteristics in a temporal sequence. Compared with the UT group, Raman imaging results exhibited gradually increased nuclear division of OS cells with DAPT treatment duration extension, along with changes in the physiology of other organelles within the cell. By providing a unique perspective for understanding the temporary cellular responses to DAPT at molecular level, the achieved results form the foundation of strategies for the application of CRM and other Raman-based techniques for studying the therapeutic responses of other anticancer agents in cancer model systems.
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Affiliation(s)
- Jie Li
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710069, China
| | - Jing Li
- Department of Orthopedics, The Second Affiliated Hospital of Xi 'an Jiaotong University, Xi'an, Shaanxi 710004, China
| | - Jie Qin
- Department of Orthopedics, The Second Affiliated Hospital of Xi 'an Jiaotong University, Xi'an, Shaanxi 710004, China
| | - Haishan Zeng
- Imaging Unit - Integrative Oncology Department, BC Cancer Research Center, Vancouver, BC V5Z1L3, Canada
| | - Kaige Wang
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710069, China
| | - Difan Wang
- School of Life, Xidian University, Xi'an, Shaanxi 710071, China
| | - Shuang Wang
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, Shaanxi 710069, China.
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43
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Nguyen TNQ, Maguire A, Mooney C, Jackson N, Lynam‐Lennon N, Weldon V, Muldoon C, Maguire AA, O'Toole D, Ravi N, Reynolds JV, O'Sullivan J, Meade AD. Prediction of pathological response to neo‐adjuvant chemoradiotherapy for oesophageal cancer using vibrational spectroscopy. TRANSLATIONAL BIOPHOTONICS 2020. [DOI: 10.1002/tbio.202000014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Affiliation(s)
- Thi N. Q. Nguyen
- Centre for Radiation and Environmental Science, Focas Research Institute Technological University Dublin Dublin Ireland
- School of Physics and Clinical and Optometric Sciences Technological University Dublin Dublin Ireland
| | - Adrian Maguire
- Centre for Radiation and Environmental Science, Focas Research Institute Technological University Dublin Dublin Ireland
| | - Catherine Mooney
- School of Computer Science University College Dublin Dublin Ireland
| | - Naomi Jackson
- Centre for Radiation and Environmental Science, Focas Research Institute Technological University Dublin Dublin Ireland
| | - Niamh Lynam‐Lennon
- Trinity Translational Medicine Institute, Department of Surgery, Trinity College Dublin St James's Hospital Dublin Ireland
| | - Vicki Weldon
- Centre for Radiation and Environmental Science, Focas Research Institute Technological University Dublin Dublin Ireland
- School of Physics and Clinical and Optometric Sciences Technological University Dublin Dublin Ireland
| | - Cian Muldoon
- Department of Histopathology St. James's Hospital Dublin Ireland
| | - Aoife A. Maguire
- Department of Histopathology St. James's Hospital Dublin Ireland
| | - D. O'Toole
- Department of Histopathology St. James's Hospital Dublin Ireland
| | - Narayanasamy Ravi
- Trinity Translational Medicine Institute, Department of Surgery, Trinity College Dublin St James's Hospital Dublin Ireland
| | - John V. Reynolds
- Trinity Translational Medicine Institute, Department of Surgery, Trinity College Dublin St James's Hospital Dublin Ireland
| | - Jacintha O'Sullivan
- Trinity Translational Medicine Institute, Department of Surgery, Trinity College Dublin St James's Hospital Dublin Ireland
| | - Aidan D. Meade
- Centre for Radiation and Environmental Science, Focas Research Institute Technological University Dublin Dublin Ireland
- School of Physics and Clinical and Optometric Sciences Technological University Dublin Dublin Ireland
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44
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Bajwa J, Nawaz H, Majeed MI, Hussain AI, Farooq S, Rashid N, Bakkar MA, Ahmad S, Hyat H, Bashir S, Ali S, Kashif M. Quantitative analysis of solid dosage forms of cefixime using Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 238:118446. [PMID: 32408230 DOI: 10.1016/j.saa.2020.118446] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/27/2020] [Accepted: 05/03/2020] [Indexed: 06/11/2023]
Abstract
Quantification of antibiotics is of significant importance because of their use in the prevention and treatment of different diseases. Cefixime (CEF) is a cephalosporin antibiotic that is used against bacterial infections. In the present study, Raman spectroscopy has been applied for the identification and quantification of Raman spectral features of cefixime with different concentrations of Active Pharmaceutical Ingredient (API) and excipients in solid dosage forms. The changes in Raman spectral features of API and excipients in the solid dosage forms of cefixime were studied and Raman peaks were assigned based on the literature. Multivariate data analysis techniques including the Principal Component Analysis (PCA) and Partial Least Squares Regression analysis (PLSR) have been performed for the qualitative and quantitative analysis of solid dosage forms of cefixime. PCA was found helpful in differentiating all the Raman spectral data associated with the different solid dosage forms of cefixime. The coefficient of determination (R2), mean absolute error (MAE), and mean relative error (MRE) for the calibration data-set were 0.99, 0.72, and 0.01 respectively and for the validation data-set were 0.99, 3.15, and 0.02 respectively, that shows the performance of the model. The root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP) were found to be 0.56 mg and 3.13 mg respectively.
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Affiliation(s)
- Jawad Bajwa
- Department of Chemistry, Government College University, Faisalabad, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan.
| | | | | | - Sidra Farooq
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Central Punjab, Faisalabad Campus, Faisalabad, Pakistan
| | | | - Shamsheer Ahmad
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - Hamza Hyat
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - Saba Bashir
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - Saqib Ali
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | - Muhammad Kashif
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
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45
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Gala de Pablo J, Chisholm DR, Ambler CA, Peyman SA, Whiting A, Evans SD. Detection and time-tracking activation of a photosensitiser on live single colorectal cancer cells using Raman spectroscopy. Analyst 2020; 145:5878-5888. [PMID: 32662453 DOI: 10.1039/d0an01023e] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Raman spectroscopy has been used to observe uptake, metabolism and response of single-cells to drugs. Photodynamic therapy is based on the use of light, a photosensitiser and oxygen to destroy tumour tissue. Here, we used single-cell Raman spectroscopy to study the uptake and intracellular degradation of a novel photosensitiser with a diphenylacetylene structure, DC473, in live single-cells from colorectal adenocarcinoma cell lines SW480, HT29 and SW620. DC473 was seen to predominantly accumulate in lipid droplets, showing higher accumulation in HT29 and SW620 cells than in SW480 cells, with a broader DC473 peak shifted to higher wavenumbers. DC473 activation and effects were tracked on live single-cells for 5 minutes. Upon exposure to UV light, the DC473 signal intensity dropped, with remaining DC473 shifting towards higher wavenumbers and widening, with a lifetime of approximately 50 seconds. Morphologically, SW480 and SW620 cells showed changes upon photodynamic therapy, whereas HT29 cells showed no changes. Morphological changes correlated with higher remaining DC473 signal after UV exposure. Our research suggests that DC473 forms aggregates within the cells that disaggregate following activation, showing the potential of Raman spectroscopy for the study of time-dependent single-cell pharmacodynamics.
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Affiliation(s)
- Julia Gala de Pablo
- Molecular and Nanoscale Physics Group, School of Physics and Astronomy, University of Leeds, Leeds, UK.
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46
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Yu G, Li R, Hubel A. Raman Cryomicroscopic Imaging and Sample Holder for Spectroscopic Subzero Temperature Measurements. Methods Mol Biol 2020; 2180:351-361. [PMID: 32797420 DOI: 10.1007/978-1-0716-0783-1_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Raman spectroscopy has been gaining in popularity for noninvasive analysis of single cells. Raman spectra and images deliver meaningful information regarding the biochemical, biophysical, and structural properties of cells in various states. Low-temperature Raman spectroscopy has been applied to verify the presence of ice inside a frozen cell and to illustrate the distribution of both penetrating and non-penetrating cryoprotectants. This chapter delineates Raman cryomicroscopic imaging of single cells as well as sample handling for spectroscopic measurements at subzero temperature. The experimental setup is depicted with a special emphasis on a custom-built temperature-controlled cooling stage. The use of Raman cryomicroscopic imaging is demonstrated using Jurkat cells cryopreserved in a sucrose solution. Moreover, strategies for determining intracellular ice formation (IIF) and analysis of sucrose partitioning across the cell membrane are presented.
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Affiliation(s)
- Guanglin Yu
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Rui Li
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Allison Hubel
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA.
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47
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Ali S, Riaz A, Nawaz H, Majeed MI, Iqbal MA, Bhatti HN, Rashid N, Kashif M, Tahir M, Nasir S, Ullah S, Farooq S, Naseem A. Raman spectral characterization of silver metal-based complexes of different benzimidazolium ligands. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 232:118162. [PMID: 32106031 DOI: 10.1016/j.saa.2020.118162] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 02/13/2020] [Accepted: 02/16/2020] [Indexed: 06/10/2023]
Abstract
In this study, Raman spectroscopy has been employed for the characterization of two structurally different monodentate N-heterocyclic carbene ligands (ligand-1 and ligand-2) and their respective complexes (complex-1 and complex-2). The Raman spectral features are found helpful for the confirmation of formation of complexes. The significant Raman spectral features are identified for benzimidazole ring with higher intensities in carbene complexes having more polarizability as compared to their ligands, providing the evidence for the formation of coordinate covalent bond. The successful complexation is further supported by using multivariate data analysis technique, Principal Component Analysis (PCA), which is found very helpful to highlight the variability of Raman spectral data of both ligands and their respective metal complexes from each other. Moreover, the coordination of carbene with Ag(I) is confirmed from the dominant spectral markers of higher intensities at 359 cm-1 in complex-1 and 338 cm-1 in complex-2. The effective and reliable characterization and confirmation of metal complexes indicates the potential of Raman spectroscopy for its use for the characterization of the organometallic complexes and other chemical products.
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Affiliation(s)
- Saqib Ali
- Department of Chemistry, University of Agriculture Faisalabad-38040, Pakistan
| | - Ayesha Riaz
- Department of Chemistry, University of Agriculture Faisalabad-38040, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad-38040, Pakistan.
| | | | | | - Haq Nawaz Bhatti
- Department of Chemistry, University of Agriculture Faisalabad-38040, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Central Punjab, Faisalabad campus, Faisalabad, Pakistan
| | - Muhammad Kashif
- Department of Chemistry, University of Agriculture Faisalabad-38040, Pakistan
| | - Muhammad Tahir
- Department of Chemistry, University of Agriculture Faisalabad-38040, Pakistan
| | - Saira Nasir
- Department of Chemistry, University of Agriculture Faisalabad-38040, Pakistan
| | - Saif Ullah
- Department of Chemistry, University of Agriculture Faisalabad-38040, Pakistan
| | - Sidra Farooq
- Department of Chemistry, University of Agriculture Faisalabad-38040, Pakistan
| | - Ammara Naseem
- Department of Chemistry, University of Agriculture Faisalabad-38040, Pakistan
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48
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Ali S, Riaz A, Majeed MI, Iqbal MA, Bhatti HN, Rashid N, Kashif M, Tahir M, Nasir S, Farooq S, Naseem A, Nawaz H. Raman spectroscopy along with Principal Component Analysis for the confirmation of Silver(I)-N-heterocyclic carbene complex formation. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 228:117851. [PMID: 31786050 DOI: 10.1016/j.saa.2019.117851] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 11/20/2019] [Accepted: 11/23/2019] [Indexed: 06/10/2023]
Abstract
In this study Raman spectroscopy is employed for the characterization of two different ligands called as S1 and S2 and their respective co-ordinate complexes called C1 and C2. Specific Raman spectral signatures are observed for each of these Silver(I)-N-heterocyclic carbene complexes Ag(I)-(NHCs), which can be associated with the imidazolium ring, part of both of the ligands, indicating the formation of new coordinate covalent bond. For the detailed analysis, Raman spectral data of these ligands and complexes is analyzed by multivariate data analysis technique, Principal Component Analysis (PCA) which is found very helpful to differentiate two ligands and complexes from each other. The significant Raman peaks with higher intensities in the complexes as compared to the respective ligands are associated with imidazole ring which can be attributed to the enhanced polarizability of this ring on complex formation. Moreover, the spectral features associated with (AgC) bond are observed with higher intensity at 360 in (C1) and 383 in (C2). This study indicates the potential of Raman spectroscopy for the characterization and confirmation of formation of organometallic complexes and other chemical products.
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Affiliation(s)
- Saqib Ali
- Department of Chemistry, University of Agriculture Faisalabad, 38040, Pakistan
| | - Ayesha Riaz
- Department of Chemistry, University of Agriculture Faisalabad, 38040, Pakistan
| | | | | | - Haq Nawaz Bhatti
- Department of Chemistry, University of Agriculture Faisalabad, 38040, Pakistan
| | - Nosheen Rashid
- Department of Chemistry, University of Central Punjab, Faisalabad Campus, Faisalabad, Pakistan
| | - Muhammad Kashif
- Department of Chemistry, University of Agriculture Faisalabad, 38040, Pakistan
| | - Muhammad Tahir
- Department of Chemistry, University of Agriculture Faisalabad, 38040, Pakistan
| | - Saira Nasir
- Department of Chemistry, University of Agriculture Faisalabad, 38040, Pakistan
| | - Sidra Farooq
- Department of Chemistry, University of Agriculture Faisalabad, 38040, Pakistan
| | - Ammara Naseem
- Department of Chemistry, University of Agriculture Faisalabad, 38040, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, 38040, Pakistan.
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49
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Data mining Raman microspectroscopic responses of cells to drugs in vitro using multivariate curve resolution-alternating least squares. Talanta 2020; 208:120386. [DOI: 10.1016/j.talanta.2019.120386] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 09/17/2019] [Accepted: 09/22/2019] [Indexed: 12/29/2022]
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50
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Dou X, Zhao Y, Li M, Chen Q, Yamaguchi Y. Raman imaging diagnosis of the early stage differentiation of mouse embryonic stem cell (mESC). SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 224:117438. [PMID: 31377684 DOI: 10.1016/j.saa.2019.117438] [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: 06/13/2019] [Revised: 07/23/2019] [Accepted: 07/28/2019] [Indexed: 05/19/2023]
Abstract
Raman microspectroscopy as a non-invasive and label-free technique was applied to diagnose the early stage differentiation of mouse embryonic stem cells. The differentiated and undifferentiated embryonic bodies (EBs) were cultured using handing drop method by the control of Leukemia Inhibitory Factor (LIF). Raman spectra of the periphery cells of differentiated EBs (PrE cells) and those of the interior of undifferentiated EBs (ES cells) were obtained to diagnose the stem cells of different differentiation. It was found from the spectra that the protein content increased as the cells differentiated. Principal component analysis (PCA) was carried out to further analyze the differences between ES cells and PrE cells. The first three principle components contained 98.19% from the total variance. Characteristic bands of ES and PrE cells were chosen to acquire Raman images of two cells according to the results of PCA. In the Raman images, PrE cells had a clear and bright outline in the peripheral areas while ES cells were difficult to identify, this could be a distinct characteristic to discriminate them. The result of the Raman images was consistent with the biological agreement that the differentiated cells were distributed around the periphery.
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Affiliation(s)
- Xiaoming Dou
- Institute of Photonics & Bio-medicine, School of Science, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China; Department of Applied Physics, Graduate School of Engineering, Osaka University, 2-1, Yamadaoka, Suita City, Osaka 565-0871, Japan
| | - Yubin Zhao
- Institute of Photonics & Bio-medicine, School of Science, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Mingda Li
- Institute of Photonics & Bio-medicine, School of Science, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Qinmiao Chen
- Institute of Photonics & Bio-medicine, School of Science, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Yoshinori Yamaguchi
- Institute of Photonics & Bio-medicine, School of Science, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China; Department of Applied Physics, Graduate School of Engineering, Osaka University, 2-1, Yamadaoka, Suita City, Osaka 565-0871, Japan.
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