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LaLone V, Smith D, Diaz-Espinosa J, Rosania GR. Quantitative Raman chemical imaging of intracellular drug-membrane aggregates and small molecule drug precipitates in cytoplasmic organelles. Adv Drug Deliv Rev 2023; 202:115107. [PMID: 37769851 PMCID: PMC10841539 DOI: 10.1016/j.addr.2023.115107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 09/20/2023] [Accepted: 09/25/2023] [Indexed: 10/02/2023]
Abstract
Raman confocal microscopes have been used to visualize the distribution of small molecule drugs within different subcellular compartments. This visualization allows the discovery, characterization, and detailed analysis of the molecular transport phenomena underpinning the Volume of Distribution - a key parameter governing the systemic pharmacokinetics of small molecule drugs. In the specific case of lipophilic small molecules with large Volumes of Distribution, chemical imaging studies using Raman confocal microscopes have revealed how weakly basic, poorly soluble drug molecules can accumulate inside cells by forming stable, supramolecular complexes in association with cytoplasmic membranes or by precipitating out within organelles. To study the self-assembly and function of the resulting intracellular drug inclusions, Raman chemical imaging methods have been developed to measure and map the mass, concentration, and ionization state of drug molecules at a microscopic, subcellular level. Beyond the field of drug delivery, Raman chemical imaging techniques relevant to the study of microscopic drug precipitates and drug-lipid complexes which form inside cells are also being developed by researchers with seemingly unrelated scientific interests. Highlighting advances in data acquisition, calibration methods, and computational data management and analysis tools, this review will cover a decade of technological developments that enable the conversion of spectral signals obtained from Raman confocal microscopes into new discoveries and information about previously unknown, concentrative drug transport pathways driven by soluble-to-insoluble phase transitions occurring within the cytoplasmic organelles of eukaryotic cells.
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Affiliation(s)
- Vernon LaLone
- Cambium Analytica Research Laboratories, Traverse City, MI, United States
| | - Doug Smith
- Cambium Analytica Research Laboratories, Traverse City, MI, United States
| | - Jennifer Diaz-Espinosa
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI, United States
| | - Gus R Rosania
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI, United States.
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2
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Daoui O, Mali SN, Elkhattabi K, Elkhattabi S, Chtita S. Repositioning Cannabinoids and Terpenes as Novel EGFR-TKIs Candidates for Targeted Therapy Against Cancer: A virtual screening model using CADD and biophysical simulations. Heliyon 2023; 9:e15545. [PMID: 37128337 PMCID: PMC10148140 DOI: 10.1016/j.heliyon.2023.e15545] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 04/07/2023] [Accepted: 04/13/2023] [Indexed: 05/03/2023] Open
Abstract
This study examines the potential of Cannabis sativa L. plants to be repurposed as therapeutic agents for cancer treatment through designing of hybrid Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). A set of 50 phytochemicals was taken from Cannabinoids and Terpenes and subjected for screening using Semi-flexible and Flexible Molecular Docking methods, MM-GBSA free binding energy computations, and pharmacokinetic/pharmacodynamic (ADME-Tox) predictions. Nine promising phytochemicals, Cannabidiolic acid (CBDA), Cannabidiol (CBD), Tetrahydrocannabivarin (THCV), Dronabinol (Δ-9-THC), Delta-8-Tetrahydrocannabinol (Δ-8-THC), Cannabicyclol (CBL), Delta9-tetrahydrocannabinolic acid (THCA), Beta-Caryophyllene (BCP), and Gamma-Elemene (γ-Ele) were identified as potential EGFR-TKIs natural product candidates for cancer therapy. To further validate these findings, a set of Molecular Dynamics simulations were conducted over a 200 ns trajectory. This hybrid early drug discovery screening strategy has the potential to yield a new generation of EGFR-TKIs based on natural cannabis products, suitable for cancer therapy. In addition, the application of this computational strategy in the virtual screening of both natural and synthetic chemical libraries could support the discovery of a wide range of lead drug agents to address numerous diseases.
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Affiliation(s)
- Ossama Daoui
- Laboratory of Engineering, Systems and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah-Fez University, P.O. Box 72, Fez, Morocco
- Corresponding author.
| | - Suraj N. Mali
- Department of Pharmaceutical Sciences and Technology, Birla Institute of Technology, Mesra, India, 835215
| | - Kaouakeb Elkhattabi
- Department of Fundamental Sciences, Faculty of Dental Medicine, Mohammed V University in Rabat, Morocco
| | - Souad Elkhattabi
- Laboratory of Engineering, Systems and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah-Fez University, P.O. Box 72, Fez, Morocco
| | - Samir Chtita
- Laboratory of Analytical and Molecular Chemistry, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, P.O. Box 7955, Casablanca, Morocco
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Gómez Velásquez S, Amaya Heredia ÁM, Bedoya Moncada S, Patiño González JE, Martínez Ramírez JA. Recreational cannabis: Profile of cannabinoids present in marijuana samples supplied by the consuming population. Salud Colect 2023; 19:e4385. [PMID: 37311141 DOI: 10.18294/sc.2023.4385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 03/16/2023] [Indexed: 06/15/2023] Open
Abstract
As cannabis/marijuana is one of the most consumed psychoactive substances in the world, knowing the composition and type of cannabis sold in urban environments is a necessary input for the design of public health policies based on scientific evidence. This study characterized the main phytocannabinoids of marijuana samples (cigarettes or buds) obtained in urban and rural areas of the city of Medellín in October 2021. Non-probabilistic convenience sampling was carried out in which 87 marijuana samples donated by consumers were collected at different collection points throughout the city, and gas chromatography-mass spectrometry and flame ionization techniques were employed for the characterization of phytocannabinoids. Tetrahydrocannabinol (THC) was found to be the main constituent of circulating marijuana in Medellín, where 67.8% of the samples had a high or higher toxicological range for THC; the foregoing in a context where the deregulated market in practice limits the possibility that consumers have to calibrate or decide the concentration of cannabinoids in their doses.
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Affiliation(s)
- Santiago Gómez Velásquez
- Magíster en Salud Pública. Secretaría de la Juventud de Medellín. Estudiante del Doctorado en Epidemiología y Bioestadística, Universidad CES, Medellín, Colombia
| | | | | | | | - Jorge Ariel Martínez Ramírez
- PhD en Toxicología Forense. Profesor, Departamento de Farmacia, Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá, Colombia
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Ma ZW, Tang JW, Liu QH, Mou JY, Qiao R, Du Y, Wu CY, Tang DQ, Wang L. Identification of geographic origins of Morus alba Linn. through surfaced enhanced Raman spectrometry and machine learning algorithms. J Biomol Struct Dyn 2023; 41:14285-14298. [PMID: 36803175 DOI: 10.1080/07391102.2023.2180433] [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: 08/22/2022] [Accepted: 02/08/2023] [Indexed: 02/22/2023]
Abstract
The leaves of Morus alba Linn., which is also known as white mulberry, have been commonly used in many of traditional systems of medicine for centuries. In traditional Chinese medicine (TCM), mulberry leaf is mainly used for anti-diabetic purpose due to its enrichment in bioactive compounds such as alkaloids, flavonoids and polysaccharides. However, these components are variable due to the different habitats of the mulberry plant. Therefore, geographic origin is an important feature because it is closely associated with bioactive ingredient composition that further influences medicinal qualities and effects. As a low-cost and non-invasive method, surface enhanced Raman spectrometry (SERS) is able to generate the overall fingerprints of chemical compounds in medicinal plants, which holds the potential for the rapid identification of their geographic origins. In this study, we collected mulberry leaves from five representative provinces in China, namely, Anhui, Guangdong, Hebei, Henan and Jiangsu. SERS spectrometry was applied to characterize the fingerprints of both ethanol and water extracts of mulberry leaves, respectively. Through the combination of SERS spectra and machine learning algorithms, mulberry leaves were well discriminated with high accuracies in terms of their geographic origins, among which the deep learning algorithm convolutional neural network (CNN) showed the best performance. Taken together, our study established a novel method for predicting the geographic origins of mulberry leaves through the combination of SERS spectra with machine learning algorithms, which strengthened the application potential of the method in the quality evaluation, control and assurance of mulberry leaves.
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Affiliation(s)
- Zhang-Wen Ma
- Department of Pharmaceutical Analysis, School of Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, School of Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Jia-Wei Tang
- Department of Intelligent Medical Engineering, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, Jiangsu Province, China
| | - Qing-Hua Liu
- State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau, China
| | - Jing-Yi Mou
- The First School of Clinical Medicine, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Rui Qiao
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, School of Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
- Department of Clinical Pharmacy, School of Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Yan Du
- Department of Pharmaceutical Analysis, School of Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, School of Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Chang-Yu Wu
- Department of Biomedical Engineering, School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Dao-Quan Tang
- Department of Pharmaceutical Analysis, School of Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, School of Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
| | - Liang Wang
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
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5
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Affiliation(s)
- David Love
- United States Drug Enforcement Administration, Special Testing and Research Laboratory, USA
| | - Nicole S. Jones
- RTI International, Applied Justice Research Division, Center for Forensic Sciences, 3040 E. Cornwallis Road, Research Triangle Park, NC, 22709-2194, USA
- 70113 Street, N.W., Suite 750, Washington, DC, 20005-3967, USA
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Esteso MA. Advanced Studies on Toxic Chemicals: Properties and Characteristics. TOXICS 2022; 10:475. [PMID: 36006153 PMCID: PMC9416101 DOI: 10.3390/toxics10080475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 08/10/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
Examining the toxic scope of substances used in daily life (referred to as Contaminants of Emerging Concern (CEC)) in food, medicines, utensils, work and other industries, provides us with interesting information that will help us to prevent and recover from the dangerous organic unbalances that these substances can cause [...].
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Affiliation(s)
- Miguel A. Esteso
- Universidad Católica de Ávila, Calle los Canteros s/n, 05005 Ávila, Spain;
- Universidad de Alcalá, U.D. Química Física, 28805 Alcalá de Henares, Spain
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