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Piranfar A, Moradi Kashkooli F, Zhan W, Bhandari A, Saboury B, Rahmim A, Soltani M. Radiopharmaceutical transport in solid tumors via a 3-dimensional image-based spatiotemporal model. NPJ Syst Biol Appl 2024; 10:39. [PMID: 38609421 PMCID: PMC11015041 DOI: 10.1038/s41540-024-00362-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
Lutetium-177 prostate-specific membrane antigen (177Lu-PSMA)-targeted radiopharmaceutical therapy is a clinically approved treatment for patients with metastatic castration-resistant prostate cancer (mCRPC). Even though common practice reluctantly follows "one size fits all" approach, medical community believes there is significant room for deeper understanding and personalization of radiopharmaceutical therapies. To pursue this aim, we present a 3-dimensional spatiotemporal radiopharmaceutical delivery model based on clinical imaging data to simulate pharmacokinetic of 177Lu-PSMA within the prostate tumors. The model includes interstitial flow, radiopharmaceutical transport in tissues, receptor cycles, association/dissociation with ligands, synthesis of PSMA receptors, receptor recycling, internalization of radiopharmaceuticals, and degradation of receptors and drugs. The model was studied for a range of values for injection amount (100-1000 nmol), receptor density (10-500 nmol•l-1), and recycling rate of receptors (10-4 to 10-1 min-1). Furthermore, injection type, different convection-diffusion-reaction mechanisms, characteristic time scales, and length scales are discussed. The study found that increasing receptor density, ligand amount, and labeled ligands improved radiopharmaceutical uptake in the tumor. A high receptor recycling rate (0.1 min-1) increased radiopharmaceutical concentration by promoting repeated binding to tumor cell receptors. Continuous infusion results in higher radiopharmaceutical concentrations within tumors compared to bolus administration. These insights are crucial for advancing targeted therapy for prostate cancer by understanding the mechanism of radiopharmaceutical distribution in tumors. Furthermore, measures of characteristic length and advection time scale were computed. The presented spatiotemporal tumor transport model can analyze different physiological parameters affecting 177Lu-PSMA delivery.
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Affiliation(s)
- Anahita Piranfar
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | | | - Wenbo Zhan
- School of Engineering, King's College, University of Aberdeen, Aberdeen, AB24 3UE, UK
| | - Ajay Bhandari
- Biofluids Research Lab, Department of Mechanical Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India
| | - Babak Saboury
- Department of Computational Nuclear Oncology, Institute of Nuclear Medicine, Bethesda, MD, USA
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Arman Rahmim
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada
- Departments of Radiology and Physics, University of British Columbia, Vancouver, BC, Canada
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada.
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada.
- Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada.
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Tehrani MHH, Moradi Kashkooli F, Soltani M. Spatiotemporal modeling of nano-delivered chemotherapeutics for synergistic microwave ablation cancer therapy. Comput Methods Programs Biomed 2024; 247:108102. [PMID: 38447317 DOI: 10.1016/j.cmpb.2024.108102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 02/25/2024] [Accepted: 02/25/2024] [Indexed: 03/08/2024]
Abstract
BACKGROUND AND OBJECTIVE The effectiveness of current microwave ablation (MWA) therapies is limited. Administration of thermosensitive liposomes (TSLs) which release drugs in response to heat has presented a significant potential for enhancing the efficacy of thermal ablation treatment, and the benefits of targeted drug delivery. However, a complete knowledge of the mechanobiological processes underlying the drug release process, especially the intravascular drug release mechanism and its distribution in response to MWA needs to be improved. Multiscale computational-based modeling frameworks, integrating different biophysical phenomena, have recently emerged as promising tools to decipher the mechanobiological events in combo therapies. The present study aims to develop a novel multiscale computational model of TSLs delivery following MWA implantation. METHODS Due to the complex interplay between the heating procedure and the drug concentration maps, a computational model is developed to determine the intravascular release of doxorubicin from TSL, its transvascular transport into the interstitium, transport in the interstitium, and cell uptake. Computational models can estimate the interplays among liposome and drug properties, tumor perfusion, and heating regimen to examine the impact of essential parameters and to optimize a targeted drug delivery platform. RESULTS Results indicated that the synergy of TSLs with MWA allows more localized drug delivery with lower side effects. The drug release rate and tumor permeability play crucial roles in the efficacy of TSLs during MWA treatment. The computational model predicted an unencapsulated drug lime around the ablated zone, which can destroy more cancer cells compared to MWA alone by 40%. Administration of TSLs with a high release rate capacity can improve the percentage of killed cancer cells by 24%. Since the heating duration in MWA is less than 15 min, the presented combination therapy showed better performance for highly permeable tumors. CONCLUSION This study highlights the potential of the proposed computational framework to address complex and realistic scenarios in cancer treatment, which can serve as the future research foundation, including advancements in nanomedicine and optimizing the pair of TSL and MWA for both preclinical and clinical studies. The present model could be as a valuable tool for patient-specific calibration of essential parameters.
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Affiliation(s)
- Masoud H H Tehrani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran Iran
| | | | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran Iran; Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada; Centre for Biotechnology and Bioengineering, University of Waterloo, Waterloo, ON, Canada.
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Tehrani MHH, Moradi Kashkooli F, Soltani M. Effect of tumor heterogeneity on enhancing drug delivery to vascularized tumors using thermo-sensitive liposomes triggered by hyperthermia: A multi-scale and multi-physics computational model. Comput Biol Med 2024; 170:108050. [PMID: 38308872 DOI: 10.1016/j.compbiomed.2024.108050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 01/16/2024] [Accepted: 01/26/2024] [Indexed: 02/05/2024]
Abstract
In this study, a novel multi-scale and multi-physics image-based computational model is introduced to assess the delivery of doxorubicin (Dox) loaded temperature-sensitive liposomes (TSLs) in the presence of hyperthermia. Unlike previous methodologies, this approach incorporates capillary network geometry extracted from images, resulting in a more realistic physiological tumor model. This model holds significant promise in advancing personalized medicine by integrating patient-specific tumor properties. The finite element method is employed to solve the equations governing intravascular and interstitial fluid flows, as well as the transport of therapeutic agents within the tissue. Realistic biological conditions and intricate processes like intravascular pressure, drug binding to cells, and cellular uptake are also considered to enhance the model's accuracy. The results underscore the significant impact of vascular architecture on treatment outcomes. Variation in vascular network pattern yielded changes of up to 38 % in the fraction of killed cells (FKCs) parameter under identical conditions. Pressure control of the parent vessels can also improve FKCs by approximately 17 %. Tailoring the treatment plan based on tumor-specific parameters emerged as a critical factor influencing treatment efficacy. For instance, changing the time interval between the administration of Dox-loaded TSLs and hyperthermia can result in a 48 % improvement in treatment outcomes. Additionally, devising a customized heating schedule led to a 20 % increase in treatment efficacy. Our proposed model highlights the significant effect of tumor characteristics and vascular network structure on the final treatment outcomes of the presented combination treatment.
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Affiliation(s)
- Masoud H H Tehrani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.
| | | | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada; Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada.
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Piranfar A, Soltani M, Kashkooli FM, Uribe CF, Rahmim A. Spatiotemporal modeling of radiopharmaceutical transport in solid tumors: Application to 177Lu-PSMA therapy of prostate cancer. Comput Methods Programs Biomed 2024; 245:108004. [PMID: 38215660 DOI: 10.1016/j.cmpb.2023.108004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 12/14/2023] [Accepted: 12/31/2023] [Indexed: 01/14/2024]
Abstract
BACKGROUND AND OBJECTIVE 177Lu-labeled prostate-specific membrane antigen (PSMA) radiopharmaceutical therapy (RPT) represents a pivotal advancement in addressing prostate cancer. However, existing therapies, while promising, remain incompletely understood and optimized. Computational models offer potential insights into RPTs, aiding in clinical drug delivery enhancement. In this study, we investigate the impact of various physiological parameters on the delivery of 177Lu-PSMA-617 RPT using the convection-diffusion-reaction (CDR) model. METHODS Our investigation encompasses tumor geometry and surrounding tissue, characterized by well-defined boundaries and initial conditions. Utilizing the finite element method, we solve governing equations across a range of parameters: dissociation constant KD (1, 0.1, 0.01 [nM]), internalization rate (0.01-0.0001 [min-1]), diverse tumor shapes, and variable necrotic zone sizes. This model can provide an accurate analysis of radiopharmaceutical delivery from the injection site to the tumor cell, including drug transport in the vascular, interstitial, and intracellular spaces, and considering important parameters (e.g., drug extravasation from microvessels or to lymphatic vessels, the extracellular matrix, receptors, and intracellular space). RESULTS Our findings reveal significant enhancements in tumor-absorbed doses as KD decreases. This outcome can be attributed to the higher affinity of radiopharmaceuticals for PSMA receptors as KD diminishes, facilitating a more efficient binding and retention of the therapeutic agent within the tumor microenvironment. Additionally, tumor-absorbed doses for KD ∼ 1 [nM] show an upward trend with higher internalization rates. This observation can be rationalized by considering that a greater internalization rate would result in a higher proportion of radiopharmaceuticals being taken up by tumor cells after binding to receptors on the cell surface. Notably, tumor shape and necrotic zone size exhibit limited influence on tumor absorbed dose. CONCLUSIONS The present study employs the CDR model to explore the role of physiological parameters in shaping 177Lu-PSMA-617 RPT delivery. These findings provide insights for improving prostate cancer therapy by understanding radiopharmaceutical transport dynamics. This computational approach contributes to advancing our understanding of radiopharmaceutical delivery mechanisms and has implications for enhancing treatment efficacy.
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Affiliation(s)
- Anahita Piranfar
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Department of Electrical and Computer Engineering, University of Waterloo, ON, Canada; Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada; Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada.
| | - Farshad M Kashkooli
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - Carlos F Uribe
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada; Functional Imaging, BC Cancer, Vancouver, BC, Canada; Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Arman Rahmim
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada; Functional Imaging, BC Cancer, Vancouver, BC, Canada; Department of Radiology, University of British Columbia, Vancouver, BC, Canada
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Zabeti N, Keyhanizadeh AK, Faraji AR, Soltani M, Saeedi S, Tehrani E, Hekmatian Z. Activate hydrogen peroxide for facile and efficient removal of aflatoxin B 1 by magnetic Pd-chitosan/rice husk-hercynite biocomposite and its impact on the quality of edible oil. Int J Biol Macromol 2024; 254:127897. [PMID: 37956815 DOI: 10.1016/j.ijbiomac.2023.127897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/27/2023] [Accepted: 11/03/2023] [Indexed: 11/15/2023]
Abstract
Due to the high heat and chemical stability of aflatoxin B1 (AFB1) with significant impacts on humans/animals and thus it needs to develop a practical and efficient approach for its removal. Herein, we fabricated a magnetic Pd-chitosan/glutaraldehyde/rice husk/hercynite (Pd@CRH-x) composite for efficient detoxification of AFB1. The Pd@CRH-x was obtained by a simple wet-impregnation procedure of CRH complexes followed by pyrolysis. The results confirmed that the unique structure of Pd@CRH-400 effectively improves dispersity, and mass transfer subsequently enhancing removal efficiency in batch conditions. Results indicate 94.30 % of AFB1 was efficiently degraded by 0.1 mg mL-1 Pd@CRH-400 with 4.0 mM H2O2 at wide pH ranges (3.0-10) at 60 min with a decomposition rate constant of 0.0467 min-1. Besides, by comparing the quality factors of edible oil (i.e., acid value, peroxide value, iodine value, moisture, volatile matters, anisidine value, and fatty acid composition), it was confirmed that there was no obvious influence on the physicochemical indicators of edible oil after removal/storage process. Subsequently, the systematic kinetic study and AFB1 degradation mechanism were presented. This study provides a new strategy for the efficient construction of controllable and dispersed Pd-based catalysts using CRH-x as a spatial support for alleviating the risk of toxic pollutants.
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Affiliation(s)
- N Zabeti
- Department of Food Sciences and Technology, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Nutrition and Food Sciences Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - A K Keyhanizadeh
- Department of Food Sciences and Technology, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Nutrition and Food Sciences Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - A R Faraji
- Nutrition and Food Sciences Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Department of Organic Chemistry, Faculty of Pharmaceutical Chemistry, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
| | - M Soltani
- Department of Food Sciences and Technology, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Nutrition and Food Sciences Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
| | - S Saeedi
- Department of Food Sciences and Technology, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Nutrition and Food Sciences Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - E Tehrani
- Department of Pharmaceutical Chemistry, Faculty of Pharmaceutical Chemistry, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Z Hekmatian
- Department of Chemistry, Payam Noor University, Hamedan, Iran
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Souri M, Kiani Shahvandi M, Chiani M, Moradi Kashkooli F, Farhangi A, Mehrabi MR, Rahmim A, Savage VM, Soltani M. Stimuli-sensitive nano-drug delivery with programmable size changes to enhance accumulation of therapeutic agents in tumors. Drug Deliv 2023; 30:2186312. [PMID: 36895188 PMCID: PMC10013474 DOI: 10.1080/10717544.2023.2186312] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023] Open
Abstract
Nano-based drug delivery systems hold significant promise for cancer therapies. Presently, the poor accumulation of drug-carrying nanoparticles in tumors has limited their success. In this study, based on a combination of the paradigms of intravascular and extravascular drug release, an efficient nanosized drug delivery system with programmable size changes is introduced. Drug-loaded smaller nanoparticles (secondary nanoparticles), which are loaded inside larger nanoparticles (primary nanoparticles), are released within the microvascular network due to temperature field resulting from focused ultrasound. This leads to the scale of the drug delivery system decreasing by 7.5 to 150 times. Subsequently, smaller nanoparticles enter the tissue at high transvascular rates and achieve higher accumulation, leading to higher penetration depths. In response to the acidic pH of tumor microenvironment (according to the distribution of oxygen), they begin to release the drug doxorubicin at very slow rates (i.e., sustained release). To predict the performance and distribution of therapeutic agents, a semi-realistic microvascular network is first generated based on a sprouting angiogenesis model and the transport of therapeutic agents is then investigated based on a developed multi-compartment model. The results show that reducing the size of the primary and secondary nanoparticles can lead to higher cell death rate. In addition, tumor growth can be inhibited for a longer time by enhancing the bioavailability of the drug in the extracellular space. The proposed drug delivery system can be very promising in clinical applications. Furthermore, the proposed mathematical model is applicable to broader applications to predict the performance of drug delivery systems.
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Affiliation(s)
- Mohammad Souri
- Department of NanoBiotechnology, Pasteur Institute of Iran, Tehran, Iran
| | | | - Mohsen Chiani
- Department of NanoBiotechnology, Pasteur Institute of Iran, Tehran, Iran
| | | | - Ali Farhangi
- Department of NanoBiotechnology, Pasteur Institute of Iran, Tehran, Iran
| | | | - Arman Rahmim
- Departments of Radiology and Physics, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada
| | - Van M Savage
- Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, California, USA.,Department of Computational Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.,Santa Fe Institute, Santa Fe, New Mexico, USA
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.,Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada.,Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, Canada.,Advanced Bioengineering Initiative Center, Multidisciplinary International Complex, K. N. Toosi University of Technology, Tehran, Iran
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Mohammadi M, Sefidgar M, Aghanajafi C, Kohandel M, Soltani M. Computational Multi-Scale Modeling of Drug Delivery into an Anti-Angiogenic Therapy-Treated Tumor. Cancers (Basel) 2023; 15:5464. [PMID: 38001724 PMCID: PMC10670623 DOI: 10.3390/cancers15225464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/10/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
The present study develops a numerical model, which is the most complex one, in comparison to previous research to investigate drug delivery accompanied by the anti-angiogenesis effect. This paper simulates intravascular blood flow and interstitial fluid flow using a dynamic model. The model accounts for the non-Newtonian behavior of blood and incorporates the adaptation of the diameter of a heterogeneous microvascular network derived from modeling the evolution of endothelial cells toward a circular tumor sprouting from two-parent vessels, with and without imposing the inhibitory effect of angiostatin on a modified discrete angiogenesis model. The average solute exposure and its uniformity in solid tumors of different sizes are studied by numerically solving the convection-diffusion equation. Three different methodologies are considered for simulating anti-angiogenesis: modifying the capillary network, updating the transport properties, and considering both microvasculature and transport properties modifications. It is shown that anti-angiogenic therapy decreases drug wash-out in the periphery of the tumor. Results show the decisive role of microvascular structure, particularly its distribution, and interstitial transport properties modifications induced via vascular normalization on the quality of drug delivery, such that it is improved by 39% in uniformity by the second approach in R = 0.2 cm.
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Affiliation(s)
- Mahya Mohammadi
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19919-43344, Iran; (M.M.); (C.A.)
| | - Mostafa Sefidgar
- Department of Mechanical Engineering, Pardis Branch, Islamic Azad University, Pardis 16581-74583, Iran;
| | - Cyrus Aghanajafi
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19919-43344, Iran; (M.M.); (C.A.)
| | - Mohammad Kohandel
- Department of Applied Mathematics, University of Waterloo, Waterloo, ON N2L 3G1, Canada;
| | - M. Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19919-43344, Iran; (M.M.); (C.A.)
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
- Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON N2L 3G1, Canada
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Centre for Sustainable Business, International Business University, Toronto, ON M5S 2V1, Canada
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Kiani Shahvandi M, Souri M, Tavasoli S, Moradi Kashkooli F, Kar S, Soltani M. A comparative study between conventional chemotherapy and photothermal activated nano-sized targeted drug delivery to solid tumor. Comput Biol Med 2023; 166:107574. [PMID: 37839220 DOI: 10.1016/j.compbiomed.2023.107574] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 09/05/2023] [Accepted: 10/11/2023] [Indexed: 10/17/2023]
Abstract
Delivery of chemotherapeutic medicines to solid tumors is critical for optimal therapeutic success and minimal adverse effects. We mathematically developed a delivery method using thermosensitive nanocarriers activated by light irradiation. To assess its efficacy and identify critical events and parameters affecting therapeutic response, we compared this method to bolus and continuous infusions of doxorubicin for both single and multiple administrations. A hybrid sprouting angiogenesis approach generates a semi-realistic microvascular network to evaluate therapeutic drug distribution and microvascular heterogeneity. A pharmacodynamics model evaluates treatment success based on tumor survival cell percentage. The study found that whereas bolus injection boosted extracellular drug concentration levels by 90%, continuous infusion improved therapeutic response due to improved bioavailability. Cancer cell death increases by 6% with several injections compared to single injections due to prolonged chemotherapeutic medication exposure. However, responsive nanocarriers supply more than 2.1 times more drug than traditional chemotherapy in extracellular space, suppressing tumor development longer. Also, controlled drug release decreases systemic side effects substantial through diminishing the concentration of free drug in the circulation. The primary finding of this work highlights the significance of high bioavailability in treatment response. The results indicate that responsive nanocarriers contribute to increased bioavailability, leading to improved therapeutic benefits. By including drug delivery features in a semi-realistic model, this numerical study sought to improve drug-bio interaction comprehension. The model provides a good framework for understanding preclinical and clinical targeted oncology study outcomes.
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Affiliation(s)
| | - Mohammad Souri
- Department of NanoBiotechnology, Pasteur Institute of Iran, Tehran, Iran
| | - Shaghayegh Tavasoli
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | | | - Saptarshi Kar
- College of Engineering and Technology, American University of the Middle East, Kuwait
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada; Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, Canada; Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, Canada; Centre for Sustainable Business, International Business University, Toronto, Canada.
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Soltani M, Nejati A, Marashi SM, Nili F, Yaseri M, Mokhtari Azad T. Diverse Expression Patterns of EBV Oncogenes ( LMP2A, EBV-Encoded microRNA, and EBV-encoded dUTPase) in EBV Associated Gastric Carcinoma and their Association with Viral Loads. Arch Razi Inst 2023; 78:643-649. [PMID: 37396720 PMCID: PMC10314258 DOI: 10.22092/ari.2022.359408.2415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 09/04/2022] [Indexed: 07/04/2023]
Abstract
The chromogenic in situ hybridization (CISH) test is the gold standard for detecting Epstein-Barr virus (EBV)-associated gastric carcinoma (GC). Real-time (RT) PCR method is also a sensitive test that can detect the viral load in samples. As such, three EBV oncogenes were investigated in this study. RNA extraction and cDNA synthesis were performed on GC tissues of nine patients, who were previously confirmed to have EBVGC subtype. In addition, 44 patients that had positive RT-PCR but negative CISH results were also included as the control group. TaqMan RT-PCR analysis was performed to determine the expression of EBV-encoded microRNAs, and the expression of EBV-encoded dUTPase, as well as LMP2A, was analyzed by SYBR Green RT-PCR. EBV-encoded microRNAs and LMP2A were identified in 2 out of 9 (22%) EBVGC subtypes. In addition, EBV-encoded dUTPase was detected in 4 out of 9 (44.5%) EBVGC subtypes. EBV-encoded dUTPase was also expressed in a sample of the control group. The expression of LMP2A, EBV-encoded microRNAs, and EBV-encoded dUTPase viral oncogenes in patients with high EBV viral loads indicates that these expressions correlate with viral loads. Our findings indicate that the EBV-encoded dUTPase gene may have a role in EBVGC patients' non-response to treatment and might be considered a Biomarker-targeted therapy.
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Affiliation(s)
- M Soltani
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - A Nejati
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - S M Marashi
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - F Nili
- Department of Pathology, Imam Khomeini hospital complex, Tehran University of Medical Sciences, Tehran, Iran
| | - M Yaseri
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - T Mokhtari Azad
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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Mohammadi M, Soltani M, Aghanajafi C, Kohandel M. Investigation of the evolution of tumor-induced microvascular network under the inhibitory effect of anti-angiogenic factor, angiostatin: A mathematical study. Math Biosci Eng 2023; 20:5448-5480. [PMID: 36896553 DOI: 10.3934/mbe.2023252] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Anti-angiogenesis as a treatment strategy for normalizing the microvascular network of tumors is of great interest among researchers, especially in combination with chemotherapy or radiotherapy. According to the vital role that angiogenesis plays in tumor growth and in exposing the tumor to therapeutic agents, this work develops a mathematical framework to study the influence of angiostatin, a plasminogen fragment that shows the anti-angiogenic function, in the evolutionary behavior of tumor-induced angiogenesis. Angiostatin-induced microvascular network reformation is investigated in a two-dimensional space by considering two parent vessels around a circular tumor by a modified discrete angiogenesis model in different tumor sizes. The effects of imposing modifications on the existing model, i.e., the matrix-degrading enzyme effect, proliferation and death of endothelial cells, matrix density function, and a more realistic chemotactic function, are investigated in this study. Results show a decrease in microvascular density in response to the angiostatin. A functional relationship exists between angiostatin's ability to normalize the capillary network and tumor size or progression stage, such that capillary density decreases by 55%, 41%, 24%, and 13% in tumors with a non-dimensional radius of 0.4, 0.3, 0.2, and 0.1, respectively, after angiostatin administration.
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Affiliation(s)
- Mahya Mohammadi
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19919-43344, Iran
- Department of Applied Mathematics, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19919-43344, Iran
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
- School of Optometry and Vision Science, Faculty of Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada
- Advanced Bioengineering Initiative Center, Multidisciplinary International Complex, K. N. Toosi University of Technology, Tehran 19697-64499, Iran
- Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Cyrus Aghanajafi
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19919-43344, Iran
| | - Mohammad Kohandel
- Department of Applied Mathematics, University of Waterloo, Waterloo, ON N2L 3G1, Canada
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Yacoub A, Ayadi A, Ayed W, Ayari S, Chebbi S, Magroun I, Ben Afia L, Mersni M, Mechergui N, Brahim D, Ben Said H, Bahri G, Youssef I, Ladhari N, Mziou N, Grassa A, M'rad M, Khessairi N, Krir A, Chihaoui M, Mahjoub S, Bahlous A, Jridi M, Cherif Y, Derbal S, Chebbi D, Hentati O, Ben Dahmen F, Abdallah M, Hamdi I, Sahli F, Ouerdani Y, Mnekbi Y, Abaza H, Ajmi M, Guedria A, Randaline A, Ben Abid H, Gaddour N, Maatouk A, Zemni I, Gara A, Kacem M, Maatouk I, Ben Fredj M, Abroug H, Ben Nasrallah C, Dhouib W, Bouanene I, Sriha A, Mahmoudi M, Gharbi G, Khsiba A, Azouz M, Ben Mohamed A, Yakoubi M, Medhioub M, Hamzaoui L, Azouz M, Ben Attig Y, Hamdi S, Essid R, Ben Jemia E, Rezgui B, Boudaya MS, Hassine H, Dabbabi H, Fradi Y, Cherif D, Lassoued I, Yacoub H, Kchir H, Maamouri N, Khairi W, Ben Ammar H, Abaza H, Chelbi E, Merhaben S, Neffati W, Ajmi M, Tarchalla S, Boughzala S, Gazzeh M, Gara S, Labidi A, Touati H, Nefzi AM, Ben Mustpha N, Fekih M, Serghini M, Boubaker J, Zouiten L, Driss A, Meddeb N, Driss I, Walha S, Ben Said H, Bel Hadj Mabrouk E, Zaimi Y, Mensi A, Trad N, Ayadi S, Said Y, Mouelhi L, Dabbèche R, Belfkih H, Bani M, Moussa A, Souissi S, Trabelsi Werchfeni B, Chelly S, Ezzi O, Ammar A, Besbes M, Njah M, Mahjoub M, Ghali H, Neffati A, Bhiri S, Bannour R, Ayadi S, Khouya FE, Kamel A, Hariz E, Aidani S, Kefacha S, Ben Cheikh A, Said H, Dogui S, Atig A, Gara A, Ezzar S, Ben Fradj M, Bouanène I, M'kadmi H, Farhati M, Dakhli N, Nalouti K, Chanoufi MB, Abouda SH, Louati C, Zaaimi Y, Dabbeche R, Hermi A, Saadi A, Mokaddem S, Boussaffa H, Bellali M, Zaghbib S, Ayed H, Bouzouita A, Derouiche A, Allouche M, Chakroun M, Ben Slama R, Gannoun N, Kacem I, Tlili G, Kahloul M, Belhadj Chabbah N, Douma F, Bouhoula M, Chouchene A, Aloui A, Maoua M, Brahem A, Kalboussi H, El Maalel O, Chatti S, Jaidane M, Naija W, Mrizek N, Sellami I, Feki A, Hrairi A, Kotti N, Baklouti S, Jmal Hammami K, Masmoudi ML, Hajjaji M, Naaroura A, Ben Amar J, Ouertani H, Ben Moussa O, Zaibi H, Aouina H, Ben Jemaa S, Gassara Z, Ezzeddine M, Kallel MH, Fourati H, Akrout R, Kallel H, Ayari M, Chehaider A, Souli F, Abdelaali I, Ziedi H, Boughzala C, Haouari W, Chelli M, Soltani M, Trabelsi H, Sahli H, Hamdaoui R, Masmoudi Y, Halouani A, Triki A, Ben Amor A, Makni C, Eloillaf M, Riahi S, Tlili R, Jmal L, Belhaj Ammar L, Nsibi S, Jmal A, Boukhzar R, Somai M, Daoud F, Rachdi I, Ben Dhaou B, Aydi Z, Boussema F, Frikha H, Hammami R, Ben Cheikh S, Chourabi S, Bokri E, Elloumi D, Hasni N, Hamza S, Berriche O, Dalhoum M, Jamoussi H, Kallel L, Mtira A, Sghaier Z, Ghezal MA, Fitouri S, Rhimi S, Omri N, Rouiss S, Soua A, Ben Slimene D, Mjendel I, Ferchichi I, Zmerli R, Belhadj Mabrouk E, Debbeche R, Makhloufi M, Chouchane A, Sridi C, Chelly F, Gaddour A, Kacem I, Chatti S, Mrizak N, Elloumi H, Debbabi H, Ben Azouz S, Marouani R, Cheikh I, Ben Said M, Kallel M, Amdouni A, Rejaibi N, Aouadi L, Zaouche K, Khouya FE, Aidani S, Khefacha S, Jelleli N, Sakly A, Zakhama W, Binous MY, Ben Said H, Bouallegue E, Jemmali S, Abcha S, Wahab H, Hmida A, Mabrouk I, Mabrouk M, Elleuch M, Mrad M, Ben Safta N, Medhioub A, Ghanem M, Boughoula K, Ben Slimane B, Ben Abdallah H, Bouali R, Bizid S, Abdelli MN, Ben Nejma Y, Bellakhal S, Antit S, Bourguiba R, Zakhama L, Douggui MH, Bahloul E, Dhouib F, Turki H, Sabbah M, Baghdadi S, Trad D, Bellil N, Bibani N, Elloumi H, Gargouri D, Ben Said M, Hamdaoui R, Chokri R, Kacem M, Ben Rejeb M, Miladi A, Kooli J, Touati S, Trabelsi S, Klila M, Rejeb H, Kammoun H, Akrout I, Greb D, Ben Abdelghaffar H, Hassene H, Fekih L, Smadhi H, Megdiche MA, Ksouri J, Kasdalli H, Hayder A, Gattoussi M, Chérif L, Ben Saida F, Gueldich M, Ben Jemaa H, Dammak A, Frikha I, Saidani A, Ben Amar J, Aissi W, Chatti AB, Naceur I, Ben Achour T, Said F, Khanfir M, Lamloum M, Ben Ghorbel I, Houman M, Cherif T, Ben Mansour A, Daghfous H, Slim A, Ben Saad S, Tritar F, Naffeti W, Abdellatif J, Ben Fredj M, Selmi M, Kbir GH, Maatouk M, Jedidi L, Taamallah F, Ben Moussa M, Halouani L, Rejeb S, Khalffalah N, Ben Ammar J, Hedhli S, Azouz MM, Chatti S, Athimni Z, Bouhoula M, Elmaalel O, Mrizak N, Maalej M, Kammoun R, Gargouri F, Sallemi S, Haddar A, Masmoudi K, Oussaifi A, Sahli A, Bhouri M, Hmaissi R, Friha M, Cherif H, Baya C, Triki M, Yangui F, Charfi MR, Ben Hamida HY, Karoui S, Aouini F, Hajlaoui A, Jlassi H, Sabbah M, Fendri MN, Kammoun N, Fehri S, Nouagui H, Harzalli A, Snène H, Belakhal S, Ben Hassine L, Labbene I, Jouini M, Kalboussi S, Ayedi Y, Harizi C, Skhiri A, Fakhfakh R, Jelleli B, Belkahla A, Fejjeri M, Zeddini M, Mahjoub S, Nouira M, Frih N, Debiche S, Blibech H, Belhaj S, Mehiri N, Ben Salah N, Louzir B, Kooli J, Bahri R, Chaka A, Abdenneji S, Majdoub Fehri S, Hammadi J, Dorgham D, Hriz N, Kwas H, Issaoui N, Jaafoura S, Bellali H, Shimi M, Belhaj Mabrouk E, Sellami R, Ketata I, Medi W, Mahjoub M, Ben Yacoub S, Ben Chaabene A, Touil E, Ben Ayed H, Ben Miled S, El Zine E, Khouni H, Ben Kadhi S, Maatoug J, Boulma R, Rezgui R, Boudokhane M, Jomni T, Chamekh S, Aissa S, Touhiri E, Jlaiel N, Oueslati B, Maaroufi N, Aouadi S, Belkhir S, Daghfous H, Merhaben S, Dhaouadi N, Ounaes Y, Chaker K, Yaich S, Marrak M, Bibi M, Mrad Dali K, Sellami A, Nouira Y, Sellami S, Anane I, Trabelsi H, Ennaifer R, Benzarti Z, Bouchabou B, Hemdani N, Nakhli A, Cherif Y, Abdelkef M, Derbel K, Barkous B, Yahiaoui A, Sayhi A, Guezguez F, Rouatbi S, Racil H, Ksouri C, Znegui T, Maazaoui S, Touil A, Habibech S, Chaouech N, Ben Hmid O, Ismail S, Chouaieb H, Chatti M, Guediri N, Belhadj Mohamed M, Bennasrallah C, Bouzid Y, Zaouali F, Toumia M, El Khemiri N, El Khemiri A, Sfar H, Farhati S, Ben Chehida F, Yamoun R, Braham N, Hamdi Y, Ben Mansour A, Mtir M, Ayari M, Toumia M, Rouis S, Sakly H, Nakhli R, Ben Garouia H, Chebil D, Hannachi H, Merzougui L, Samet S, Hrairi A, Mnif I, Hentati O, Bouzgarrou L, Souissi D, Boujdaria R, Kadoussi R, Rejeb H, Ben Limem I, Ben Salah I, Greb D, Ben Abdelghaffar H, Smadhi H, Laatiri H, Manoubi SA, Gharbaoui M, Hmandi O, Zhioua M, Taboubi F, Hamza Y, Hannach W, Jaziri H, Gharbi R, Hammami A, Dahmani W, Ben Ameur W, Ksiaa M, Ben Slama A, Brahem A, Elleuch N, Jmaa A, Kort I, Jlass S, Benabderrahim S, Turki E, Belhaj A, Kebsi D, Ben Khelil M, Rmadi N, Gamaoun H, Alaya Youzbechi F, Brahim T, Boujnah S, Abid N, Gader N, Kalboussi S, Ben Sassi S, Loukil M, Ghrairi H, Ben Said N, Mrad O, Ferjaoui M, Hedhli L, Ben Kaab B, Berriche A, Charfi R, Mourali O, Smichi I, Bel Haj Kacem L, Ksentini M, Aloui R, Ferchichi L, Nasraoui H, Maoua M, Chérif F, Belil Y, Ayed MA, Alloulou Y, Belhadj S, Daghfous J, Mehiri N, Louzir B, Abbes A, Ghrab A, Chermiti A, Akacha A, Mejri O, Debbiche A, Yahiaoui C, Binous M, Tissaoui A, Mekni K, El Fekih C, Said MA, Chtioui S, Mestiri S, Smaoui H, Ben Hamida S, Haddar A, Mrizek N, Gares N, Zaibi A, Bouazizi N, Gallas S, Lachhab A, Belhadj M, Hadj Salem N, Garrouch A, Mezgar Z, Khrouf M, Abbassi H, Souissi D, Hamra I, Ben Mustapha N, Abessi I, Boubaker F, Bouchareb S, ElOmma Mrabet H, Touil I, Boussoffara L, Knani J, Boudawara N, Alaya W, Sfar MH, Fekih S, Snène H, Boudawara N, Gargouri I, Benzarti W, Knaz A, Abdelghani A, Aissa S, Hayouni A, Mejri I, Kacem M, Mhamdi S, Daboussi S, Aichaouia C, Moatemri Z, Chaachou A, Fsili R, Ben Ghezala H, Ben Jazia A, Brahmi N. 2022 TUNISIAN NATIONAL CONGRESS OF MEDICINE ABSTRACTS. Tunis Med 2023; 101:62-64. [PMID: 37682263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Indexed: 09/09/2023]
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Kiani Shahvandi M, Soltani M, Moradi Kashkooli F, Saboury B, Rahmim A. Spatiotemporal multi-scale modeling of radiopharmaceutical distributions in vascularized solid tumors. Sci Rep 2022; 12:14582. [PMID: 36028541 PMCID: PMC9418261 DOI: 10.1038/s41598-022-18723-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 08/18/2022] [Indexed: 11/09/2022] Open
Abstract
We present comprehensive mathematical modeling of radiopharmaceutical spatiotemporal distributions within vascularized solid tumors. The novelty of the presented model is at mathematical level. From the mathematical viewpoint, we provide a general modeling framework for the process of radiopharmaceutical distribution in the tumor microenvironment to enable an analysis of the effect of various tumor-related parameters on the distribution of different radiopharmaceuticals. We argue that partial differential equations (PDEs), beyond conventional methods, including ODE-based kinetic compartment modeling, can be used to evaluate radiopharmaceutical distribution in both time and space. In addition, we consider the spatially-variable dynamic structure of tumor microvascular networks to simulate blood flow distribution. To examine the robustness of the model, the effects of microvessel density (MVD) and tumor size, as two important factors in tumor prognosis, on the radiopharmaceutical distribution within the tumor are investigated over time (in the present work, we focus on the radiopharmaceutical [18F]FDG, yet the framework is broadly applicable to radiopharmaceuticals). Results demonstrate that the maximum total uptake of [18F]FDG at all time frames occurs in the tumor area due to the high capillary permeability and lack of a functional lymphatic system. As the MVD of networks increases, the mean total uptake in the tumor is also enhanced, where the rate of diffusion from vessel to tissue has the highest contribution and the rate of convection transport has the lowest contribution. The results of this study can be used to better investigate various phenomena and bridge a gap among cancer biology, mathematical oncology, medical physics, and radiology.
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Affiliation(s)
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran. .,Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada. .,Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada. .,Advanced Bioengineering Initiative Center, Multidisciplinary International Complex, K. N. Toosi University of Technology, Tehran, Iran.
| | | | - Babak Saboury
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.,Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Arman Rahmim
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada.,Departments of Radiology and Physics, University of British Columbia, Vancouver, BC, Canada
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Abstract
Aim: In this study, the main goal was to apply a multi-scale computational model in evaluating nano-sized drug-delivery systems, following extracellular drug release, into solid tumors in order to predict treatment efficacy. Methods: The impact of several parameters related to tumor (size, shape, vessel-wall pore size, and necrotic core size) and therapeutic agents (size of nanoparticles, binding affinity of drug, drug release rate from nanoparticles) are examined in detail. Results: This study illustrates that achieving a higher treatment efficacy requires smaller nanoparticles (NPs) or a low binding affinity and drug release rate. Long-term analysis finds that a slow release rate in extracellular space does not always improve treatment efficacy compared with a rapid release rate; NP size as well as binding affinity of drug are also highly influential. Conclusions: The presented methodology can be used as a step forward towards optimization of patient-specific nanomedicine plans.
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Affiliation(s)
| | - Mohsen Rezaeian
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.,Department of Electrical & Computer Engineering, University of Waterloo, Waterloo, Canada.,Centre for Biotechnology & Bioengineering (CBB), University of Waterloo, Waterloo, Canada.,Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran
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Souri M, Chiani M, Farhangi A, Mehrabi MR, Nourouzian D, Raahemifar K, Soltani M. Anti-COVID-19 Nanomaterials: Directions to Improve Prevention, Diagnosis, and Treatment. Nanomaterials (Basel) 2022; 12:783. [PMID: 35269270 PMCID: PMC8912597 DOI: 10.3390/nano12050783] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 02/18/2022] [Accepted: 02/23/2022] [Indexed: 02/04/2023]
Abstract
Following the announcement of the outbreak of COVID-19 by the World Health Organization, unprecedented efforts were made by researchers around the world to combat the disease. So far, various methods have been developed to combat this "virus" nano enemy, in close collaboration with the clinical and scientific communities. Nanotechnology based on modifiable engineering materials and useful physicochemical properties has demonstrated several methods in the fight against SARS-CoV-2. Here, based on what has been clarified so far from the life cycle of SARS-CoV-2, through an interdisciplinary perspective based on computational science, engineering, pharmacology, medicine, biology, and virology, the role of nano-tools in the trio of prevention, diagnosis, and treatment is highlighted. The special properties of different nanomaterials have led to their widespread use in the development of personal protective equipment, anti-viral nano-coats, and disinfectants in the fight against SARS-CoV-2 out-body. The development of nano-based vaccines acts as a strong shield in-body. In addition, fast detection with high efficiency of SARS-CoV-2 by nanomaterial-based point-of-care devices is another nanotechnology capability. Finally, nanotechnology can play an effective role as an agents carrier, such as agents for blocking angiotensin-converting enzyme 2 (ACE2) receptors, gene editing agents, and therapeutic agents. As a general conclusion, it can be said that nanoparticles can be widely used in disinfection applications outside in vivo. However, in in vivo applications, although it has provided promising results, it still needs to be evaluated for possible unintended immunotoxicity. Reviews like these can be important documents for future unwanted pandemics.
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Affiliation(s)
- Mohammad Souri
- Department of NanoBiotechnology, Pasteur Institute of Iran, Tehran 13169-43551, Iran; (M.S.); (M.C.); (A.F.)
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran
| | - Mohsen Chiani
- Department of NanoBiotechnology, Pasteur Institute of Iran, Tehran 13169-43551, Iran; (M.S.); (M.C.); (A.F.)
| | - Ali Farhangi
- Department of NanoBiotechnology, Pasteur Institute of Iran, Tehran 13169-43551, Iran; (M.S.); (M.C.); (A.F.)
| | - Mohammad Reza Mehrabi
- Department of NanoBiotechnology, Pasteur Institute of Iran, Tehran 13169-43551, Iran; (M.S.); (M.C.); (A.F.)
| | - Dariush Nourouzian
- Department of NanoBiotechnology, Pasteur Institute of Iran, Tehran 13169-43551, Iran; (M.S.); (M.C.); (A.F.)
| | - Kaamran Raahemifar
- Data Science and Artificial Intelligence Program, College of Information Sciences and Technology (IST), Penn State University, State College, PA 16801, USA;
- Department of Chemical Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
- School of Optometry and Vision Science, Faculty of Science, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
| | - M. Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
- Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON N2L 3G1, Canada
- Advanced Bioengineering Initiative Center, Multidisciplinary International Complex, K. N. Toosi University of Technology, Tehran 14176-14411, Iran
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Zoudani EL, Soltani M, Raahemifar K. Modeling and Analysis of Nanoparticle with Non-Uniform Drug Concentration Distribution: How to Approach a Programmed Delivery? J Pharm Innov 2022. [DOI: 10.1007/s12247-022-09623-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Soltani M, Saremnezhad S, Faraji A, Hayaloglu A. Perspectives and recent innovations on white cheese produced by conventional methods or ultrafiltration technique. Int Dairy J 2022. [DOI: 10.1016/j.idairyj.2021.105232] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Ebrahimi Zade A, Shahabi Haghighi S, Soltani M. Deep Neural Networks for Neuro-oncology: Towards Patient Individualized Design of Chemo-Radiation Therapy for Glioblastoma Patients. J Biomed Inform 2022; 127:104006. [DOI: 10.1016/j.jbi.2022.104006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 01/04/2022] [Accepted: 01/25/2022] [Indexed: 11/28/2022]
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Souri M, Soltani M, Moradi Kashkooli F, Kiani Shahvandi M, Chiani M, Shariati FS, Mehrabi MR, Munn LL. Towards principled design of cancer nanomedicine to accelerate clinical translation. Mater Today Bio 2022; 13:100208. [PMID: 35198957 PMCID: PMC8841842 DOI: 10.1016/j.mtbio.2022.100208] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/24/2022] [Accepted: 01/25/2022] [Indexed: 02/08/2023] Open
Abstract
Nanotechnology in medical applications, especially in oncology as drug delivery systems, has recently shown promising results. However, although these advances have been promising in the pre-clinical stages, the clinical translation of this technology is challenging. To create drug delivery systems with increased treatment efficacy for clinical translation, the physicochemical characteristics of nanoparticles such as size, shape, elasticity (flexibility/rigidity), surface chemistry, and surface charge can be specified to optimize efficiency for a given application. Consequently, interdisciplinary researchers have focused on producing biocompatible materials, production technologies, or new formulations for efficient loading, and high stability. The effects of design parameters can be studied in vitro, in vivo, or using computational models, with the goal of understanding how they affect nanoparticle biophysics and their interactions with cells. The present review summarizes the advances and technologies in the production and design of cancer nanomedicines to achieve clinical translation and commercialization. We also highlight existing challenges and opportunities in the field.
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Key Words
- CFL, Cell-free layer
- CGMD, Coarse-grained molecular dynamic
- Clinical translation
- DPD, Dissipative particle dynamic
- Drug delivery
- Drug loading
- ECM, Extracellular matrix
- EPR, Permeability and retention
- IFP, Interstitial fluid pressure
- MD, Molecular dynamic
- MDR, Multidrug resistance
- MEC, Minimum effective concentration
- MMPs, Matrix metalloproteinases
- MPS, Mononuclear phagocyte system
- MTA, Multi-tadpole assemblies
- MTC, Minimum toxic concentration
- Nanomedicine
- Nanoparticle design
- RBC, Red blood cell
- TAF, Tumor-associated fibroblast
- TAM, Tumor-associated macrophage
- TIMPs, Tissue inhibitor of metalloproteinases
- TME, Tumor microenvironment
- Tumor microenvironment
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Affiliation(s)
- Mohammad Souri
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
- Department of Nanobiotechnology, Pasteur Institute of Iran, Tehran, Iran
| | - M. Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
- Department of Electrical and Computer Engineering, University of Waterloo, ON, Canada
- Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada
- Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran
| | | | | | - Mohsen Chiani
- Department of Nanobiotechnology, Pasteur Institute of Iran, Tehran, Iran
| | | | | | - Lance L. Munn
- Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
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Tehrani MHH, Soltani M, Moradi Kashkooli F, Mahmoudi M, Raahemifar K. Computational Modeling of Combination of Magnetic Hyperthermia and Temperature-Sensitive Liposome for Controlled Drug Release in Solid Tumor. Pharmaceutics 2021; 14:35. [PMID: 35056931 PMCID: PMC8778939 DOI: 10.3390/pharmaceutics14010035] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/14/2021] [Accepted: 12/20/2021] [Indexed: 12/12/2022] Open
Abstract
Combination therapy, a treatment modality that combines two or more therapeutic methods, provides a novel pathway for cancer treatment, as it targets the region of interest (ROI) in a characteristically synergistic or additive manner. To date, liposomes are the only nano-drug delivery platforms that have been used in clinical trials. Here, we speculated that it could be promising to improve treatment efficacy and reduce side effects by intravenous administration of thermo-sensitive liposomes loaded with doxorubicin (TSL-Dox) during magnetic hyperthermia (MHT). A multi-scale computational model using the finite element method was developed to simulate both MHT and temperature-sensitive liposome (TSL) delivery to a solid tumor to obtain spatial drug concentration maps and temperature profiles. The results showed that the killing rate of MHT alone was about 15%, which increased to 50% using the suggested combination therapy. The results also revealed that this combination treatment increased the fraction of killed cells (FKCs) inside the tumor compared to conventional chemotherapy by 15% in addition to reducing side effects. Furthermore, the impacts of vessel wall pore size, the time interval between TSL delivery and MHT, and the initial dose of TSLs were also investigated. A considerable reduction in drug accumulation was observed in the tumor by decreasing the vessel wall pore size of the tumor. The results also revealed that the treatment procedure plays an essential role in the therapeutic potential of anti-cancer drugs. The results suggest that the administration of MHT can be beneficial in the TSL delivery system and that it can be employed as a guideline for upcoming preclinical studies.
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Affiliation(s)
- Masoud H. H. Tehrani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran; (M.H.H.T.); (F.M.K.)
| | - M. Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran; (M.H.H.T.); (F.M.K.)
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
- Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON N2L 3G1, Canada
- Advanced Bioengineering Initiative Center, Multidisciplinary International Complex, K. N. Toosi University of Technology, Tehran 14176-14411, Iran
| | - Farshad Moradi Kashkooli
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran; (M.H.H.T.); (F.M.K.)
| | - Mohammadreza Mahmoudi
- School for Engineering of Matter, Transport & Energy, Arizona State University, Tempe, AZ 85287, USA;
| | - Kaamran Raahemifar
- Data Science and Artificial Intelligence Program, College of Information Sciences and Technology (IST), Penn State University, State College, Pennsylvania, PA 16801, USA;
- Department of Chemical Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
- School of Optometry and Vision Science, Faculty of Science, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
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Soltani M. Capillary network formation and structure in a modified discrete mathematical model of angiogenesis. Biomed Phys Eng Express 2021; 8. [PMID: 34883475 DOI: 10.1088/2057-1976/ac4175] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 12/09/2021] [Indexed: 01/01/2023]
Abstract
Angiogenesis, as part of cancer development, involves hierarchical complicated events and processes. Multiple studies have revealed the significance of the formation and structure of tumor-induced capillary networks. In this study, a discrete mathematical model of angiogenesis is studied and modified to capture the realistic physics of capillary network formation. Modifications are performed on the mathematical foundations of an existing discrete model of angiogenesis. The main modifications are the imposition of the matrix density effect, implementation of realistic boundary and initial conditions, and improvement of the method of governing equations based on physical observation. Results show that endothelial cells accelerate angiogenesis and capillary formation as they migrate toward the tumor and clearly exhibit the physical concept of haptotactic movement. On the other hand, consideration of blood flow-induced stress leads to a dynamic adaptive vascular network of capillaries which intelligibly reflects the brush border effect . The present modified model of capillary network formation is based on the physical rationale that defines a clear mathematical and physical interpretation of angiogenesis, which is likely to be used in cancer development modeling and anti-angiogenic therapies.
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Affiliation(s)
- M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.,Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada.,Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, Ontario, Canada.,Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Tehran Province, Iran
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21
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Fasaeiyan N, Soltani M, Moradi Kashkooli F, Taatizadeh E, Rahmim A. Computational modeling of PET tracer distribution in solid tumors integrating microvasculature. BMC Biotechnol 2021; 21:67. [PMID: 34823506 PMCID: PMC8620574 DOI: 10.1186/s12896-021-00725-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 11/05/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND We present computational modeling of positron emission tomography radiotracer uptake with consideration of blood flow and interstitial fluid flow, performing spatiotemporally-coupled modeling of uptake and integrating the microvasculature. In our mathematical modeling, the uptake of fluorodeoxyglucose F-18 (FDG) was simulated based on the Convection-Diffusion-Reaction equation given its high accuracy and reliability in modeling of transport phenomena. In the proposed model, blood flow and interstitial flow are solved simultaneously to calculate interstitial pressure and velocity distribution inside cancer and normal tissues. As a result, the spatiotemporal distribution of the FDG tracer is calculated based on velocity and pressure distributions in both kinds of tissues. RESULTS Interstitial pressure has maximum value in the tumor region compared to surrounding tissue. In addition, interstitial fluid velocity is extremely low in the entire computational domain indicating that convection can be neglected without effecting results noticeably. Furthermore, our results illustrate that the total concentration of FDG in the tumor region is an order of magnitude larger than in surrounding normal tissue, due to lack of functional lymphatic drainage system and also highly-permeable microvessels in tumors. The magnitude of the free tracer and metabolized (phosphorylated) radiotracer concentrations followed very different trends over the entire time period, regardless of tissue type (tumor vs. normal). CONCLUSION Our spatiotemporally-coupled modeling provides helpful tools towards improved understanding and quantification of in vivo preclinical and clinical studies.
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Affiliation(s)
- Niloofar Fasaeiyan
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Tehran Province, Iran
- Department of Civil Engineering, Polytechnique University, Montreal, QC, Canada
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Tehran Province, Iran.
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada.
- Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada.
- Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Tehran Province, Iran.
| | - Farshad Moradi Kashkooli
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Tehran Province, Iran
| | - Erfan Taatizadeh
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Tehran Province, Iran
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada
| | - Arman Rahmim
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada
- Departments of Radiology and Physics, University of British Columbia, Vancouver, BC, Canada
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada
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22
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Souri M, Soltani M, Moradi Kashkooli F, Kiani Shahvandi M. Engineered strategies to enhance tumor penetration of drug-loaded nanoparticles. J Control Release 2021; 341:227-246. [PMID: 34822909 DOI: 10.1016/j.jconrel.2021.11.024] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 11/15/2021] [Accepted: 11/16/2021] [Indexed: 02/06/2023]
Abstract
Nanocarriers have been widely employed in preclinical studies and clinical trials for the delivery of anticancer drugs. The most important causes of failure in clinical translation of nanocarriers is their inefficient accumulation and penetration which arises from special characteristics of tumor microenvironment such as insufficient blood supply, dense extracellular matrix, and elevated interstitial fluid pressure. Various strategies such as engineering extracellular matrix, optimizing the physicochemical properties of nanocarriers have been proposed to increase the depth of tumor penetration; however, these strategies have not been very successful so far. Novel strategies such as transformable nanocarriers, transcellular transport of peptide-modified nanocarriers, and bio-inspired carriers have recently been emerged as an advanced generation of drug carriers. In this study, the latest developments of nanocarrier-based drug delivery to solid tumor are presented with their possible limitations. Then, the prospects of advanced drug delivery systems are discussed in detail.
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Affiliation(s)
- Mohammad Souri
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Department of Electrical and Computer Engineering, University of Waterloo, ON, Canada; Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada; Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran.
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23
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Moradi Kashkooli F, Soltani M. Evaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach. Sci Rep 2021; 11:21475. [PMID: 34728726 PMCID: PMC8563754 DOI: 10.1038/s41598-021-00989-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 10/21/2021] [Indexed: 12/22/2022] Open
Abstract
The development of an in silico approach that evaluates and identifies appropriate treatment protocols for individuals could help grow personalized treatment and increase cancer patient lifespans. With this motivation, the present study introduces a novel approach for sequential treatment cycles based on simultaneously examining drug delivery, tumor growth, and chemotherapy efficacy. This model incorporates the physical conditions of tumor geometry, including tumor, capillary network, and normal tissue assuming real circumstances, as well as the intravascular and interstitial fluid flow, drug concentration, chemotherapy efficacy, and tumor recurrence. Three treatment approaches-maximum tolerated dose (MTD), metronomic chemotherapy (MC), and chemo-switching (CS)-as well as different chemotherapy schedules are investigated on a real tumor geometry extracted from image. Additionally, a sensitivity analysis of effective parameters of drug is carried out to evaluate the potential of using different other drugs in cancer treatment. The main findings are: (i) CS, MC, and MTD have the best performance in reducing tumor cells, respectively; (ii) multiple doses raise the efficacy of drugs that have slower clearance, higher diffusivity, and lower to medium binding affinities; (iii) the suggested approach to eradicating tumors is to reduce their cells to a predetermined rate through chemotherapy and then apply adjunct therapy.
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Affiliation(s)
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada.
- Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran.
- Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran.
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24
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Soltani M, Souri M, Moradi Kashkooli F. Effects of hypoxia and nanocarrier size on pH-responsive nano-delivery system to solid tumors. Sci Rep 2021; 11:19350. [PMID: 34588504 PMCID: PMC8481507 DOI: 10.1038/s41598-021-98638-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 09/03/2021] [Indexed: 02/08/2023] Open
Abstract
One of the special features of solid tumors is the acidity of the tumor microenvironment, which is mainly due to the presence of hypoxic regions. Therefore, pH-responsive drug delivery systems have recently been highly welcomed. In the present study, a comprehensive mathematical model is presented based on extravascular drug release paradigm. Accordingly, drug delivery system using pH-responsive nanocarriers is taken into account to examine the impacts of hypoxic regions as well as the size of nanocarriers for cancerous cell-death. The extent of hypoxic regions is controlled by vascular density. This means that regions with very low vascular density represent regions of hypoxia. Using this mathematical model, it is possible to simulate the extracellular and intracellular concentrations of drug by considering the association/disassociation of the free drug to the cell-surface receptors and cellular uptake. Results show that nanocarriers with smaller sizes are more effective due to higher accumulation in the tumor tissue interstitium. The small size of the nanocarriers also allows them to penetrate deeper, so they can expose a larger portion of the tumor to the drug. Additionally, the presence of hypoxic regions in tumor reduces the fraction of killed cancer cells due to reduced penetration depth. The proposed model can be considered for optimizing and developing pH-sensitive delivery systems to reduce both cost and time of the process.
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Affiliation(s)
- M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.
- Department of Electrical and Computer Engineering, University of Waterloo, 200 University Ave., Waterloo, ON, N2L3G1, Canada.
- Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada.
- Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran.
| | - Mohammad Souri
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
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25
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Abazari MA, Rafiei D, Soltani M, Alimohammadi M. The effect of beta-blockers on hemodynamic parameters in patient-specific blood flow simulations of type-B aortic dissection: a virtual study. Sci Rep 2021; 11:16058. [PMID: 34362955 PMCID: PMC8346572 DOI: 10.1038/s41598-021-95315-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 07/20/2021] [Indexed: 12/23/2022] Open
Abstract
Aortic dissection (AD) is one of the fatal and complex conditions. Since there is a lack of a specific treatment guideline for type-B AD, a better understanding of patient-specific hemodynamics and therapy outcomes can potentially control the progression of the disease and aid in the clinical decision-making process. In this work, a patient-specific geometry of type-B AD is reconstructed from computed tomography images, and a numerical simulation using personalised computational fluid dynamics (CFD) with three-element Windkessel model boundary condition at each outlet is implemented. According to the physiological response of beta-blockers to the reduction of left ventricular contractions, three case studies with different heart rates are created. Several hemodynamic features, including time-averaged wall shear stress (TAWSS), highly oscillatory, low magnitude shear (HOLMES), and flow pattern are investigated and compared between each case. Results show that decreasing TAWSS, which is caused by the reduction of the velocity gradient, prevents vessel wall at entry tear from rupture. Additionally, with the increase in HOLMES value at distal false lumen, calcification and plaque formation in the moderate and regular-heart rate cases are successfully controlled. This work demonstrates how CFD methods with non-invasive hemodynamic metrics can be developed to predict the hemodynamic changes before medication or other invasive operations. These consequences can be a powerful framework for clinicians and surgical communities to improve their diagnostic and pre-procedural planning.
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Affiliation(s)
- Mohammad Amin Abazari
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - Deniz Rafiei
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.
- Department of Electrical and Computer Engineering, Faculty of Engineering, School of Optometry and Vision Science, Faculty of Science, University of Waterloo, Waterloo, Canada.
- Advanced Bio Initiative Center, Multidisciplinary International Complex, K. N. Toosi University of Technology, Tehran, Iran.
- Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada.
- Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mona Alimohammadi
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.
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26
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Moradi Kashkooli F, Soltani M, Momeni MM, Rahmim A. Enhanced Drug Delivery to Solid Tumors via Drug-Loaded Nanocarriers: An Image-Based Computational Framework. Front Oncol 2021; 11:655781. [PMID: 34249692 PMCID: PMC8264267 DOI: 10.3389/fonc.2021.655781] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 05/26/2021] [Indexed: 01/03/2023] Open
Abstract
Objective Nano-sized drug delivery systems (NSDDSs) offer a promising therapeutic technology with sufficient biocompatibility, stability, and drug-loading rates towards efficient drug delivery to solid tumors. We aim to apply a multi-scale computational model for evaluating drug delivery to predict treatment efficacy. Methodology Three strategies for drug delivery, namely conventional chemotherapy (one-stage), as well as chemotherapy through two- and three-stage NSDDSs, were simulated and compared. A geometric model of the tumor and the capillary network was obtained by processing a real image. Subsequently, equations related to intravascular and interstitial flows as well as drug transport in tissue were solved by considering real conditions as well as details such as drug binding to cells and cellular uptake. Finally, the role of periodic treatments was investigated considering tumor recurrence between treatments. The impact of different parameters, nanoparticle (NP) size, binding affinity of drug, and the kinetics of release rate, were additionally investigated to determine their therapeutic efficacy. Results Using NPs considerably increases the fraction of killed cells (FKCs) inside the tumor compared to conventional chemotherapy. Tumoral FKCs for two-stage DDS with smaller NP size (20nm) is higher than that of larger NPs (100nm), in all investigate release rates. Slower and continuous release of the chemotherapeutic agents from NPs have better treatment outcomes in comparison with faster release rate. In three-stage DDS, for intermediate and higher binding affinities, it is desirable for the secondary particle to be released at a faster rate, and the drug with slower rate. In lower binding affinities, high release rates have better performance. Results also demonstrate that after 5 treatments with three-stage DDS, 99.6% of tumor cells (TCs) are killed, while two-stage DDS and conventional chemotherapy kill 95.6% and 88.5% of tumor cells in the same period, respectively. Conclusion The presented framework has the potential to enable decision making for new drugs via computational modeling of treatment responses and has the potential to aid oncologists with personalized treatment plans towards more optimal treatment outcomes.
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Affiliation(s)
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.,Department of Electrical and Computer Engineering, Faculty of Engineering, School of Optometry and Vision Science, Faculty of Science, University of Waterloo, Waterloo, ON, Canada.,Advanced Bioengineering Initiative Center, Multidisciplinary International Complex, K. N. Toosi University of Technology, Tehran, Iran.,Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada
| | - Mohammad Masoud Momeni
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - Arman Rahmim
- Departments of Radiology and Physics, University of British Columbia, Vancouver, BC, Canada.,Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada
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27
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Abstract
Coarctation of the aorta (CoA) is a congenital tightening of the proximal descending aorta. Flow quantification can be immensely valuable for an early and accurate diagnosis. However, there is a lack of appropriate diagnostic approaches for a variety of cardiovascular diseases, such as CoA. An accurate understanding of the disease depends on measurements of the global haemodynamics (criteria for heart function) and also the local haemodynamics (detailed data on the dynamics of blood flow). Playing a significant role in clinical processes, wall shear stress (WSS) cannot be measured clinically; thus, computation tools are needed to give an insight into this crucial haemodynamic parameter. In the present study, in order to enable the progress of non-invasive approaches that quantify global and local haemodynamics for different CoA severities, innovative computational blueprint simulations that include fluid-solid interaction models are developed. Since there is no clear approach for managing the CoA regarding its severity, this study proposes the use of WSS indices and pressure gradient to better establish a framework for treatment procedures in CoA patients with different severities. This provides a platform for improving CoA therapy on a patient-specific level, in which physicians can perform treatment methods based on WSS indices on top of using a mere experience. Results show how severe CoA affects the aorta in comparison to the milder cases, which can give the medical community valuable information before and after any intervention.
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Affiliation(s)
- Deniz Rafiei
- Department of Mechanical Engineering, K. N. Toosi Univeristy of Technology, Tehran, Iran
| | - Mohammad Amin Abazari
- Department of Mechanical Engineering, K. N. Toosi Univeristy of Technology, Tehran, Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi Univeristy of Technology, Tehran, Iran
- Department of Electrical and Computer Engineering, Faculty of Engineering, School of Optometry and Vision Science, Faculty of Science, University of Waterloo, Waterloo, Canada
- Advanced Bioengineering Initiative Center, Multidisciplinary International Complex, K. N. Toosi University of Technology, Tehran, Iran
- Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada
- Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran
| | - Mona Alimohammadi
- Department of Mechanical Engineering, K. N. Toosi Univeristy of Technology, Tehran, Iran.
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28
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Jafari Nivlouei S, Soltani M, Carvalho J, Travasso R, Salimpour MR, Shirani E. Multiscale modeling of tumor growth and angiogenesis: Evaluation of tumor-targeted therapy. PLoS Comput Biol 2021; 17:e1009081. [PMID: 34161319 PMCID: PMC8259971 DOI: 10.1371/journal.pcbi.1009081] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 07/06/2021] [Accepted: 05/14/2021] [Indexed: 12/12/2022] Open
Abstract
The dynamics of tumor growth and associated events cover multiple time and spatial scales, generally including extracellular, cellular and intracellular modifications. The main goal of this study is to model the biological and physical behavior of tumor evolution in presence of normal healthy tissue, considering a variety of events involved in the process. These include hyper and hypoactivation of signaling pathways during tumor growth, vessels' growth, intratumoral vascularization and competition of cancer cells with healthy host tissue. The work addresses two distinctive phases in tumor development-the avascular and vascular phases-and in each stage two cases are considered-with and without normal healthy cells. The tumor growth rate increases considerably as closed vessel loops (anastomoses) form around the tumor cells resulting from tumor induced vascularization. When taking into account the host tissue around the tumor, the results show that competition between normal cells and cancer cells leads to the formation of a hypoxic tumor core within a relatively short period of time. Moreover, a dense intratumoral vascular network is formed throughout the entire lesion as a sign of a high malignancy grade, which is consistent with reported experimental data for several types of solid carcinomas. In comparison with other mathematical models of tumor development, in this work we introduce a multiscale simulation that models the cellular interactions and cell behavior as a consequence of the activation of oncogenes and deactivation of gene signaling pathways within each cell. Simulating a therapy that blocks relevant signaling pathways results in the prevention of further tumor growth and leads to an expressive decrease in its size (82% in the simulation).
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Affiliation(s)
- Sahar Jafari Nivlouei
- Department of Mechanical Engineering, Isfahan University of Technology, Isafahan, Iran
- CFisUC, Department of Physics, University of Coimbra, Coimbra, Portugal
| | - M. Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
- Department of Electrical and Computer Engineering, University of Waterloo, Ontario, Canada
- Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, Ontario, Canada
- Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran
- Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran
| | - João Carvalho
- CFisUC, Department of Physics, University of Coimbra, Coimbra, Portugal
| | - Rui Travasso
- CFisUC, Department of Physics, University of Coimbra, Coimbra, Portugal
| | | | - Ebrahim Shirani
- Department of Mechanical Engineering, Isfahan University of Technology, Isafahan, Iran
- Department of Mechanical Engineering, Foolad Institute of Technology, Fooladshahr, Iran
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29
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Siavashy S, Soltani M, Ghorbani-Bidkorbeh F, Fallah N, Farnam G, Mortazavi SA, Shirazi FH, Tehrani MHH, Hamedi MH. Microfluidic platform for synthesis and optimization of chitosan-coated magnetic nanoparticles in cisplatin delivery. Carbohydr Polym 2021; 265:118027. [PMID: 33966822 DOI: 10.1016/j.carbpol.2021.118027] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/02/2021] [Accepted: 03/29/2021] [Indexed: 01/03/2023]
Abstract
In this study, magnetic core/chitosan shell Nanoparticles (NPs) containing cisplatin were synthesized via cisplatin complexation with tripolyphosphate as the chitosan crosslinker using two different procedures: a conventional batch flow method and a microfluidic approach. An integrated microfluidic device composed of three stages was developed to provide precise and highly controllable mixing. The comparison of the results revealed that NPs synthesized in microchannels were monodisperse 104 ± 14.59 nm (n = 3) in size with optimal morphological characteristics, whereas polydisperse 423 ± 53.33 nm (n = 3) nanoparticles were obtained by the conventional method. Furthermore, cisplatin was loaded in NPs without becoming inactivated, and the microfluidic technique demonstrated higher encapsulation efficiency, controlled release, and consequently lower IC50 values during exposure to the A2780 cell line proving that microfluidic synthesized NPs were able to enter the cells and release the drug more efficiently. The developed microfluidic platform presents valuable features that could potentially provide the clinical translation of NPs in drug delivery.
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Affiliation(s)
- Saeed Siavashy
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran; Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada; Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada.
| | - Fatemeh Ghorbani-Bidkorbeh
- Department of Pharmaceutics, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Newsha Fallah
- Department of Pharmaceutics, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Golrokh Farnam
- Department of Toxicology and Pharmacology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Seyed Alireza Mortazavi
- Department of Pharmaceutics, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farshad H Shirazi
- Department of Toxicology and Pharmacology, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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30
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Moradi Kashkooli F, Soltani M, Momeni MM. Computational modeling of drug delivery to solid tumors: A pilot study based on a real image. J Drug Deliv Sci Technol 2021. [DOI: 10.1016/j.jddst.2021.102347] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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31
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Ebrahimi Zade A, Shahabi Haghighi S, Soltani M. A neuro evolutionary algorithm for patient calibrated prediction of survival in Glioblastoma patients. J Biomed Inform 2021; 115:103694. [PMID: 33545332 DOI: 10.1016/j.jbi.2021.103694] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 01/28/2021] [Accepted: 01/29/2021] [Indexed: 01/30/2023]
Abstract
BACKGROUND AND OBJECTIVES Glioblastoma multiforme (GBM) is the most common and malignant type of primary brain tumors. Radiation therapy (RT) plus concomitant and adjuvant Temozolomide (TMZ) constitute standard treatment of GBM. Existing models for GBM growth do not consider the effect of different schedules on tumor growth and patient survival. However, clinical trials show that treatment schedule and drug dosage significantly affect patient survival. The goal is to provide a patient calibrated model for predicting survival according to the treatment schedule. METHODS We propose a top-down method based on artificial neural networks (ANN) and genetic algorithm (GA) to predict survival of GBM patients. A feed forward undercomplete Autoencoder network is integrated with the neuro-evolutionary (NE) algorithm in order to extract a compressed representation of input clinical data. The proposed NE algorithm uses GA to obtain optimal architecture of a multi-layer perceptron (MLP). Taguchi L16 orthogonal design of experiments is used to tune parameters of the proposed NE algorithm. Finally, the optimal MLP is used to predict survival of GBM patients. RESULTS Data from 8 related clinical trials have been collected and integrated to train the model. From 847 evaluable cases, 719 were used for train and validation and the remaining 128 cases were used to test the model. Mean absolute error of the predictions on the test data is 0.087 months which shows excellent performance of the proposed model in predicting survival of the patients. Also, the results show that the proposed NE algorithm is superior to other existing models in both the mean and variability of the prediction error.
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Affiliation(s)
- Amir Ebrahimi Zade
- Faculty of Industrial Engineering and Systems Management, Amirkabir University of Technology, Tehran, Iran
| | | | - M Soltani
- Faculty of Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran; Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran; Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada; Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada
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32
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Hossain MK, Ahmed T, Bhusal P, Subedi RK, Salahshoori I, Soltani M, Hassanzadeganroudsari M. Microneedle Systems for Vaccine Delivery: the story so far. Expert Rev Vaccines 2021; 19:1153-1166. [PMID: 33427523 DOI: 10.1080/14760584.2020.1874928] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Vaccine delivery via a microneedle (MN) system has been identified as a potential alternative to conventional vaccine delivery. MN can be self-administered, is pain-free and is capable of producing superior immunogenicity. Over the last few decades, significant research has been carried out in this area, and this review aims to provide a comprehensive picture on the progress of this delivery platform. AREAS COVERED This review highlights the potential role of skin as a vaccine delivery route using a microneedle system, examines recent advancements in microneedle fabrication techniques, and provides an update on potential preclinical and clinical studies on vaccine delivery through microneedle systems against various infectious diseases. Articles for the review study were searched electronically in PubMed, Google, Google Scholar, and Science Direct using specific keywords to cover the scope of the article. The advanced search strategy was employed to identify the most relevant articles. EXPERT OPINION A significant number of MN mediated vaccine candidates have shown promising results in preclinical and clinical trials. The recent emergence of cleanroom free, 3D or additive manufacturing of MN systems and stability, together with the dose-sparing capacity of the Nanopatch® system, have made this platform, commercially, highly lucrative.
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Affiliation(s)
- Md Kamal Hossain
- Institute for Health and Sport, Victoria University , Melbourne, VIC, Australia
| | - Taksim Ahmed
- Leslie Dan Faculty of Pharmacy, University of Toronto , Toronto, Ontario, Canada
| | - Prabhat Bhusal
- School of Pharmacy, University of Otago , Dunedin New Zealand
| | | | - Iman Salahshoori
- Department of Chemical Engineering, Science and Research Branch, Islamic Azad University , Tehran, Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology , Tehran, Iran.,Department of Electrical and Computer Engineering, Faculty of Engineering, School of Optometry and Vision Science, Faculty of Science, University of Waterloo , Waterloo, Ontario, Canada.,Centre for Biotechnology and Bioengineering (CBB), University of Waterloo , Waterloo, Ontario, Canada.,Advanced Bioengineering Initiative Center, Multidisciplinary International Complex, K. N. Toosi University of Technology , Tehran, Iran
| | - Majid Hassanzadeganroudsari
- Institute for Health and Sport, Victoria University , Melbourne, VIC, Australia.,Department of Chemical Engineering, Science and Research Branch, Islamic Azad University , Tehran, Iran
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Moradi Kashkooli F, Soltani M, Rezaeian M, Meaney C, Hamedi MH, Kohandel M. Effect of vascular normalization on drug delivery to different stages of tumor progression: In-silico analysis. J Drug Deliv Sci Technol 2020. [DOI: 10.1016/j.jddst.2020.101989] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Rahpeima R, Soltani M, Moradi Kashkooli F. Numerical study of microwave induced thermoacoustic imaging for initial detection of cancer of breast on anatomically realistic breast phantom. Comput Methods Programs Biomed 2020; 196:105606. [PMID: 32585474 DOI: 10.1016/j.cmpb.2020.105606] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 06/06/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND AND OBJECTIVE Microwave-induced thermoacoustic imaging (MITAI) represents an innovative imaging approach for detection of breast cancer at initial phases by integrating the benefits provided by procedures of microwave and ultrasound imaging. The present investigation examines an innovative three-dimensional numerical modeling of MITAI as a problem with multi-physics nature. METHODS Simulations are performed by the use of COMSOL software. An anatomically realistic breast phantom representing various parts of a real breast, such as three different types of tissue, fibro-connective/glandular, transitional; and fatty, is taken into consideration along with a tumor. This breast phantom with a tumor is irradiated by a 2.45 GHz pulsed rectangular waveguide. The temperature increase and its consequent pressure caused by electromagnetic absorption are analyzed. RESULTS More temperature increase occurs in the tumor area than in the other parts of the breast, the fact which results in further increase in the pressure in the tumor area than other parts. This makes the tumor distinguishable. The ability of the MITAI process regarding the tumor size, shape (both geometrical shape and spatial orientation), location, the irradiation power level, and the pulse width is also investigated. It is demonstrated that tumor size does not have a significant impact on the efficiency of detection. In fact, very small tumors in the early stages of cancer development (with a radius of 0.25 cm) are also detectable by employing the MITAI technique. The geometrical shape of the tumor does not considerably affect the detecting performance just by itself. The spatial orientation of the tumor actually has a great impact on it. The location of the tumor is an essential factor involved in detection efficiency of MITAI. Tumors located in the fatty tissues would be much easier to be detected than those in the glandular tissues. Moreover, results denote that with augmentation of the irradiation power level or increasing the pulse width, stronger acoustic waves would be produced to make tumor detection easier. CONCLUSION These modeling and techniques may be applied aiming for determination of the amount of the generated pressure differences and acoustic pressure magnitude, and can be utilized as an effective prognosticator in practical tests.
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Affiliation(s)
- Reza Rahpeima
- Department of Aerospace Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran; Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran; Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada; Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, Ontario, Canada.
| | - Farshad Moradi Kashkooli
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada
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Moradi Kashkooli F, Soltani M, Souri M. Controlled anti-cancer drug release through advanced nano-drug delivery systems: Static and dynamic targeting strategies. J Control Release 2020; 327:316-349. [PMID: 32800878 DOI: 10.1016/j.jconrel.2020.08.012] [Citation(s) in RCA: 158] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 08/07/2020] [Accepted: 08/08/2020] [Indexed: 12/14/2022]
Abstract
Advances in nanomedicine, including early cancer detection, targeted drug delivery, and personalized approaches to cancer treatment are on the rise. For example, targeted drug delivery systems can improve intracellular delivery because of their multifunctionality. Novel endogenous-based and exogenous-based stimulus-responsive drug delivery systems have been proposed to prevent the cancer progression with proper drug delivery. To control effective dose loading and sustained release, targeted permeability and individual variability can now be described in more-complex ways, such as by combining internal and external stimuli. Despite these advances in release control, certain challenges remain and are identified in this research, which emphasizes the control of drug release and applications of nanoparticle-based drug delivery systems. Using a multiscale and multidisciplinary approach, this study investigates and analyzes drug delivery and release strategies in the nanoparticle-based treatment of cancer, both mathematically and clinically.
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Affiliation(s)
- Farshad Moradi Kashkooli
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada..
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran; Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada; Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada; Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mohammad Souri
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.
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Hassanzadeganroudsari M, Soltani M, Heydarinasab A, Nakhjiri AT, Hossain MK, Khiyavi AA. Mathematical modeling and simulation of molecular mass transfer across blood brain barrier in brain capillary. J Mol Liq 2020. [DOI: 10.1016/j.molliq.2020.113254] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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Moradi Kashkooli F, Soltani M, Hamedi MH. Drug delivery to solid tumors with heterogeneous microvascular networks: Novel insights from image-based numerical modeling. Eur J Pharm Sci 2020; 151:105399. [PMID: 32485347 DOI: 10.1016/j.ejps.2020.105399] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 04/27/2020] [Accepted: 05/26/2020] [Indexed: 12/14/2022]
Abstract
The present study examines chemotherapy by incorporating multi-scale mathematical modeling to predict drug delivery and its effects. This approach leads to a more-realistic physiological tumor model than is possible with previous approaches, as it obtains the capillary network geometry from an image, and also considers the tumor's necrotic core, drug binding, and cellular uptake. Modeling of the fluid flow and drug transport is then performed in the extracellular matrix. The results demonstrate a 10% drop in the fraction of killed cancer cells 69% rather than the 79% reported earlier for a tumor of similar geometry a more-accurate value. This study examines how tumor-related parameters including the necrotic core size and tumor size, and also drug-related parameters drug dosage, binding affinity of drug, and drug degradation can affect the delivery of the drug to solid tumors. Results indicate that concentration of drug are high in the tumor, low in normal tissue, and remarkably low in the necrotic core. Results also offer a treatment of tumors with smaller necrotic core. Tumor size, which implies the tumor progression, has a considerable impact on treatment outcomes, so to be more effective, treatment should be applied at a specific size of tumor. It is demonstrated that binding affinity of drugs to cell-surface receptors and drug dosage have significant impact on treatment efficacy, so they should be regulated based on a balanced quantification between maximum treatment efficacy and minimum side effects. On the other hand, considering the effects of drug degradation in the model has not significant effect on treatment efficacy. The findings of the present study provide insight into the mechanism of drug delivery to solid tumors based on analyzing the effective parameters and modeling how their behavior in the tumor microenvironment affects treatment efficacy.
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Affiliation(s)
- Farshad Moradi Kashkooli
- Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada; Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada; Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada; Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran; Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran.
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Soltani M, Jabarifar M, Kashkooli FM, Rahmim A. Evaluation of inverse methods for estimation of mechanical parameters in solid tumors. Biomed Phys Eng Express 2020; 6:035027. [PMID: 33438672 DOI: 10.1088/2057-1976/ab872b] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
To treat cancer, knowledge of mechanical parameters can be essential. This study proposes a new approach for estimating hydraulic conductivity (k) and hydraulic conductivity ratio (α) of a living tissue, based on inverse methods, allowing tissue parameter estimation using only a limited set of measurements. First, two population-based algorithms (Levenberg-Marquardt (LM) method and conjugate gradient (CG) method) and two gradient-based algorithms (genetic algorithm (GA) and particle swarm optimization (PSO) algorithm) are considered, and a comparative study between these different inverse methods is performed to determine which methods have a good performance in terms of convergence rate and stability. CG method is shown to perform well in the case of noise-free input data; however, in the case of noisy input data, it fails to converge. The other three methods (LM, GA, and PSO) converge with estimation errors <10% in both noise-free and noisy input data, suggesting their utility to tackle this problem. In the second part, the effectiveness and good accuracy of these robust algorithms (LM, GA, and PSO) are validated with experimental results. The hydraulic conductivity and hydraulic conductivity ratio of a specific living tumor tissue are then estimated for mammary adenocarcinoma (R3230AC). Moreover, assuming measurement of only one-point interstitial pressure inside the tumor, the effect of the location of this one-point on estimation accuracy of hydraulic conductivity is investigated. We show that estimation errors for points measured near the surface and center of the tumor are greater than at other points.
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Affiliation(s)
- M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran. Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada. Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada. Cancer Biology Research Centre, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran
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Ringø E, Van Doan H, Lee SH, Soltani M, Hoseinifar SH, Harikrishnan R, Song SK. Probiotics, lactic acid bacteria and bacilli: interesting supplementation for aquaculture. J Appl Microbiol 2020; 129:116-136. [PMID: 32141152 DOI: 10.1111/jam.14628] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 02/23/2020] [Accepted: 02/26/2020] [Indexed: 12/12/2022]
Abstract
Probiotics administration in aquafeed is known to increase feed consumption and absorption due to their capacity to release a wide range of digestive enzymes and nutrients which can participate in digestion process and feed utilization, along with the absorption of diet components led to an increase in host's health and well-being. Furthermore, probiotics improve gut maturation, prevention of intestinal disorders, predigestion of antinutrient factors found in the feed ingredients, gut microbiota, disease resistance against pathogens and metabolism. The beneficial immune effects of probiotics are well established in finfish. However, in comparison, similar studies are less abundant in the shellfish. In this review, the discussions will mainly focus on studies reported the last 2 years. In recent studies, native probiotic bacteria were isolated and fed back to their hosts. Although beneficial effects were demonstrated, some studies showed adverse effects when treated with a high concentration. This adverse effect may be due to the imbalance of the gut microbiota caused by the replenished commensal probiotics. Probiotics revealed greatest effect on the shrimp digestive system particularly in the larval and early post-larval stages, and stimulate the production of endogenous enzymes in shrimp and contribute with improved the enzyme activities in the gut, as well as disease resistance.
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Affiliation(s)
- E Ringø
- Norwegian College of Fishery Science, Faculty of Bioscience, Fisheries and Economics, UiT The Arctic University of Norway, Tromsø, Norway
| | - H Van Doan
- Department of Animal and Aquatic Sciences, Faculty of Agriculture, Chiang Mai University, Chiang Mai, Thailand
| | - S H Lee
- School of Life Science, Handong University, Pohang, Republic of Korea
| | - M Soltani
- Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, Perth, WA, Australia.,Department of Aquatic Animal Health, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
| | - S H Hoseinifar
- Department of Fisheries, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
| | - R Harikrishnan
- Department of Zoology, Pachaiyappa's College for Men, Tamil Nadu, Kanchipuram, India
| | - S K Song
- School of Life Science, Handong University, Pohang, Republic of Korea
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Mirchi P, Soltani M. Estimation of drug and tumor properties using novel hybrid meta-heuristic methods. J Theor Biol 2020; 488:110121. [PMID: 31857083 DOI: 10.1016/j.jtbi.2019.110121] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 11/27/2019] [Accepted: 12/16/2019] [Indexed: 02/06/2023]
Abstract
One of the major drawbacks in mathematical modeling of the drug delivery in living species is application of a common value for a specific property such as diffusion coefficient of drug in tissue, while this property is unique for each person or species. Therefore, knowledge on the species-specific values of these properties can improve the process of drug delivery and treatment. Inverse problem methods can achieve these unique properties for each specimen. Estimation of the individual-specific drug and tumor parameters requires the evaluation of the drug concentration (the concentration of medical images) within the tumor tissue. Accordingly, in this paper, first, the drug transport equation in tumor is determined. Then, the sensitivity analysis is conducted to determine the appropriate area for selecting the drug concentration to estimate the drug and tumor parameters. Finally, the parameters estimated by meta-heuristic and hybrid meta-heuristic methods are compared. To enhance the validity of the methods, two different drug transport models are examined. The results indicate that the hybrid methods gave rise to more precise estimations, especially the hybrid particle swarm optimization (PSO) method with whale optimization algorithm (WOA) which offer more appropriate responses in the parameters estimation of two models.
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Affiliation(s)
- Pedram Mirchi
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran; Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran; Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada; Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, Ontario, Canada.
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Rezaeian M, Sedaghatkish A, Soltani M. Numerical modeling of high-intensity focused ultrasound-mediated intraperitoneal delivery of thermosensitive liposomal doxorubicin for cancer chemotherapy. Drug Deliv 2020; 26:898-917. [PMID: 31526065 PMCID: PMC6758722 DOI: 10.1080/10717544.2019.1660435] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Although intraperitoneal chemotherapy (IPC) has been suggested as a promising method for the management of peritoneal dissemination (PD) of ovarian or colorectal cancers, the actual clinical use of this method has been restricted due to such problems as poor drug penetration into the tumor and high side effects. It is, therefore, necessary to develop new strategies to improve the efficacy of this approach. In the present work, a new strategy is proposed based on intraperitoneal (IP) injection of thermosensitive liposomal doxorubicin (TSL-Dox) with triggered release by mild hyperthermia induced by high intensity focused ultrasound (HIFU). A computational model is developed to evaluate the proposed drug delivery system. Results show an order of magnitude increase in drug penetration depth into the tumor compared to the conventional IP delivery. Furthermore, the effects of thermal conditions applied to the tumor, TSL size, tumor vessel permeability, and tumor size are investigated. Results indicate an improved efficiency of the drug delivery by expanding the heated region, yet, it increases the risk of unintentional TSL drug load release in the peritoneal cavity. Results also indicate that smaller TSLs have better treatment outcome. However, there is a significant reduction in treatment efficacy for TSLs with sizes smaller than the vessel wall pore size. Thus, tuning the size of TSL should be based on the tumor microvascular permeability. The simulation results suggest that the TSL-Dox delivery system in smaller tumors is far advantageous than larger ones. Results of our model can be used as guidelines for future preclinical studies.
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Affiliation(s)
- Mohsen Rezaeian
- Department of Mechanical Engineering, K. N. Toosi University of Technology , Tehran , Iran
| | - Amir Sedaghatkish
- Department of Mechanical Engineering, Isfahan University of Technology , Isfahan , Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology , Tehran , Iran.,Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology , Tehran , Iran.,Department of Electrical and Computer Engineering, University of Waterloo , Waterloo , Canada.,Centre for Biotechnology and Bioengineering (CBB), University of Waterloo , Waterloo , Canada.,Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences , Tehran , Iran
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Meghdadi N, Soltani M, Niroomand-Oscuii H, Yamani N. Personalized image-based tumor growth prediction in a convection-diffusion-reaction model. Acta Neurol Belg 2020; 120:49-57. [PMID: 30019255 DOI: 10.1007/s13760-018-0973-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Accepted: 07/02/2018] [Indexed: 11/26/2022]
Abstract
Inter-individual heterogeneity of tumors leads to non-effectiveness of unique therapy plans. This issue has caused a growing interest in the field of personalized medicine and its application in tumor growth evaluation. Accordingly, in this paper, a framework of personalized medicine is presented for growth prediction of brain glioma tumors. A convection-diffusion-reaction model is used as the patient-specific tumor growth model which is associated with multimodal magnetic resonance images (MRIs). Two parameters of intracellular area fraction (ICAF) and metabolic rate have been used to incorporate the physiological data obtained from medical images into the model. The framework is tested on the data of two cases of glioma tumors to document the approach; parameter estimation is made using particle swarm optimization (PSO) and genetic algorithm (GA) and the model is evaluated by comparing the predicted tumors with the observed tumors in terms of root mean square error of the ICAF maps (IRMSE), relative area difference (RAD) and Dice's coefficient (DC). Results show the differences of IRMSE, RAD and DC in 4.1 ∓ 1.15%, 0.099 ∓ 0.041 and 85.5 ∓ 7.5%, respectively. Survival times are estimated by assuming the tumor radius of 35 mm as the fatal burden. Results confirm that less-diffusive tumors lead to higher survival times. The represented framework makes it possible to personally predict the growth behavior of glioma tumors only based on patients' routine MRIs and provides a basis for modeling the personalized therapy and walking in the path of personalized medicine.
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Affiliation(s)
- Nargess Meghdadi
- Division of Biomechanics, Department of Mechanical Engineering, Sahand University of Technology, Tabriz, Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.
- University of Waterloo, Waterloo, ON, Canada.
- Cancer Biology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
- Advanced Bioengineering Initiative Center, Computational Medicine Institute, Tehran, Iran.
| | - Hanieh Niroomand-Oscuii
- Division of Biomechanics, Department of Mechanical Engineering, Sahand University of Technology, Tabriz, Iran.
| | - Nooshin Yamani
- Department of Neurology, Danish Headache Center, University of Copenhagen, Copenhagen, Denmark
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Amini M, Soltani M. Quantum transport through the edge states of zigzag phosphorene nanoribbons in presence of a single point defect: analytic Green's function method. J Phys Condens Matter 2019; 31:215301. [PMID: 30794998 DOI: 10.1088/1361-648x/ab09b8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Zigzag phosphorene nanoribbons have quasi-flat band edge modes entirely detached from bulk states. We analytically study the electronic transport through such edge states in the presence of a localized defect for semi-infinite and finite ribbon widths. Using the tight-binding model, we derive analytical expressions for the Green's function and transmission amplitude of both pristine and defective nanoribbons. We find that the transmission of ribbons with both semi-infinite and finite width is sensitive to the location of a single impurity defect with respect to the edge. By the presence of an impurity on the outermost edge site of the ribbon, the transmission through the edge channel, similar to a one-dimensional chain, strongly suppresses for the entire energy spectrum of the quasi-flat band. In contrast, the transmission of low-energy [Formula: see text] states, is robust as the impurity is moved one position far away from the edge on the same sub-lattice. The analytical calculations are also complemented by exact numerical transport computations using the Landauer approach.
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Affiliation(s)
- M Amini
- Department of Physics, University of Isfahan (UI), Hezar Jerib, 81746-73441, Isfahan, Iran
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Soltani M, Rahpeima R, Kashkooli FM. Breast cancer diagnosis with a microwave thermoacoustic imaging technique—a numerical approach. Med Biol Eng Comput 2019; 57:1497-1513. [DOI: 10.1007/s11517-019-01961-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 02/02/2019] [Indexed: 10/27/2022]
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Moradi Kashkooli F, Soltani M, Rezaeian M, Taatizadeh E, Hamedi MH. Image-based spatio-temporal model of drug delivery in a heterogeneous vasculature of a solid tumor - Computational approach. Microvasc Res 2019; 123:111-124. [PMID: 30711547 DOI: 10.1016/j.mvr.2019.01.005] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 01/29/2019] [Accepted: 01/29/2019] [Indexed: 12/31/2022]
Abstract
The solute transport distribution in a tumor is an important criterion in the evaluation of the cancer treatment efficacy. The fraction of killed cells after each treatment can quantify the therapeutic effect and plays as a helpful tool to evaluate the chemotherapy treatment schedules. In the present study, an image-based spatio-temporal computational model of a solid tumor is provided for calculation of interstitial fluid flow and solute transport. Current model incorporates heterogeneous microvasculature for angiogenesis instead of synthetic mathematical modeling. In this modeling process, a comprehensive model according to Convection-Diffusion-Reaction (CDR) equations is employed due to its high accuracy for simulating the binding and the uptake of the drug by tumor cells. Based on the velocity and the pressure distribution, transient distribution of the different drug concentrations (free, bound, and internalized) is calculated. Then, the fraction of killed cells is obtained according to the internalized concentration. Results indicate the dependence of the drug distribution on both time and space, as well as the microvasculature density. Free and bound drug concentration have the same trend over time, whereas, internalized and total drug concentration increases over time and reaches a constant value. The highest amount of concentration occurred in the tumor region due to the higher permeability of the blood vessels. Moreover, the fraction of killed cells is approximately 78.87% and 24.94% after treatment with doxorubicin for cancerous and normal tissues, respectively. In general, the presented methodology may be applied in the field of personalized medicine to optimize patient-specific treatments. Also, such image-based modeling of solid tumors can be used in laboratories that working on drug delivery and evaluating new drugs before using them for any in vivo or clinical studies.
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Affiliation(s)
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran; Department of Electrical and Computer Engineering, University of Waterloo, ON, Canada; Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, Ontario, Canada; Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mohsen Rezaeian
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - Erfan Taatizadeh
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
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Soltani M, Peighambari SM, Pourbakhsh SA, Ashtari A, Rezaei Far A, Abdoshah M. Molecular characterization of haemagglutinin-neuraminidase gene among virulent Newcastle disease viruses isolated in Iran. Iran J Vet Res 2019; 20:1-8. [PMID: 31191692 PMCID: PMC6509910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/06/2018] [Revised: 06/11/2018] [Accepted: 10/16/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND Virulent Newcastle disease virus (vNDV) causes great economic losses to the poultry industry throughout the world. Despite the endemicity of Newcastle disease (ND) and occurrence of recurrent outbreaks, the nature and genetic features of circulating NDV strains in Iran are largely unknown. Aims: This study was conducted to characterize 13 NDV isolates obtained from different outbreaks in various regions of Iran during 1999-2000 by sequencing and phylogenetic analysis of complete coding sequences of haemagglutinin-neuraminidase (HN) gene. METHODS All isolates were analyzed based on the previously determined in vivo pathogenicity indices and amino acid (aa) sequences of fusion (F) protein cleavage site (FPCS). RESULTS Phylogenetic analysis based on the HN gene coding region revealed a very close relationship of these viruses with the recently defined genotype XIII, and more specifically, subgenotype XIIIa viruses. Analysis of HN gene nucleotide (nt) sequences revealed that all studied isolates encode for a protein length of 571 aa and there is no C-terminal extension on HN aa sequences. Sequence analysis revealed multiple aa residue substitutions at antigenic sites or neutralizing epitopes on the HN glycoprotein of studied viruses compared with commonly used vaccinal strains. CONCLUSION In this study, molecular characterization of vNDV isolates, obtained from commercial poultry farms in Iran, were conducted through complete sequencing and analysis of HN gene. Isolation and molecular characterization of further NDV isolates from other parts of Iran and from neighboring countries in the region will be helpful to identify the nature and origin of indigenous viruses.
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Affiliation(s)
- M. Soltani
- Graduated from Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
| | - S. M. Peighambari
- Department of Avian Diseases, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
| | - S. A. Pourbakhsh
- Avian Diseases Research and Diagnosis Department, Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - A. Ashtari
- Avian Diseases Research and Diagnosis Department, Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - A. Rezaei Far
- Graduated from Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
| | - M. Abdoshah
- Quality Control Management, Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
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Aalaei M, Khatibjoo A, Zaghari M, Taherpour K, Akbari Gharaei M, Soltani M. Comparison of single- and multi-strain probiotics effects on broiler breeder performance, egg production, egg quality and hatchability. Br Poult Sci 2018; 59:531-538. [PMID: 29976078 DOI: 10.1080/00071668.2018.1496400] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
1. This study was conducted to investigate the effect of multi-strain probiotic (containing Lactobacillus acidophilus 2.5 × 107 cfu/g, Lactobacillus casei 2.5 × 107 cfu/g, Bifidobacterium thermophilum 2.5 × 107 cfu/g and Enterococcus faecium 2.5 × 107 cfu/g) and single-strain probiotic (Pediococcus acidilactici 1 × 1010 cfu/g) on broiler breeder performance and gastrointestinal health. 2. A completely randomised trial was conducted using 300 broiler breeder hens (Ross 308) aged 51 weeks old which were randomly allocated to 1 of 5 dietary treatments with 6 replicates per treatment in a 10 week trial. Treatments included (1) the basal diet a negative control, (2) basal diet supplemented with 0.1 g/kg multi-strain probiotic (MS), (3) basal diet supplemented with 0.1 g/kg single-strain probiotic (SS), (4) basal diet supplemented with 0.1 g/kg of both of probiotics (MS+ SS) and (5) positive control basal diet supplemented with 0.5 g/kg oxytetracycline antibiotic (OX). 3. Body weight, egg production, yolk weight, eggshell thickness and weight, Haugh unit, fertility and hatchability were determined. Results showed that dietary treatments had no significant effect on total hen house or total hatching egg production, egg weight, yolk colour index, shell weight, mortality, body weight, fertility, hatchability, oviduct and stroma weight or number of large and small yellow follicles (P > 0.05). None of the jejunum morphological parameters, apparent ileal digestibility of protein and ileal Lactobacillus population were influenced by supplemental probiotics (P > 0.05), although ileum Escherichia coli count was reduced by inclusion of dietary probiotics (P < 0.05). 4. It was concluded that although both probiotic treatments reduced coliforms, they did not improve broiler breeder performance or gastrointestinal tract (GIT) function.
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Affiliation(s)
- M Aalaei
- a Department of Animal Science , University of Ilam , Ilam , IRAN
| | - A Khatibjoo
- b Poultry Nutrition, Department of Animal Science , University of Ilam , Ilam , IRAN
| | - M Zaghari
- c Department of Animal Science , University of Tehran , Tehran , IRAN
| | - K Taherpour
- b Poultry Nutrition, Department of Animal Science , University of Ilam , Ilam , IRAN
| | - M Akbari Gharaei
- b Poultry Nutrition, Department of Animal Science , University of Ilam , Ilam , IRAN
| | - M Soltani
- d Department of Biotechnology , Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology , Kerman , Iran
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Shokoohi M, Shoorei H, Soltani M, Abtahi-Eivari SH, Salimnejad R, Moghimian M. Protective effects of the hydroalcoholic extract of Fumaria parviflora
on testicular injury induced by torsion/detorsion in adult rats. Andrologia 2018; 50:e13047. [DOI: 10.1111/and.13047] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/03/2018] [Indexed: 12/14/2022] Open
Affiliation(s)
- M. Shokoohi
- Department of Anatomical Sciences; Faculty of Medicine; Tabriz University of Medical Sciences; Tabriz Iran
- Student Research Committee; Gonabad University of Medical Sciences; Gonabad Iran
| | - H. Shoorei
- Department of Anatomical Sciences; Faculty of Medicine; Tabriz University of Medical Sciences; Tabriz Iran
| | - M. Soltani
- Department of Basic Sciences; Faculty of Medicine; Gonabad University of Medical Sciences; Gonabad Iran
| | - S.-H. Abtahi-Eivari
- Department of Basic Sciences; Faculty of Medicine; Gonabad University of Medical Sciences; Gonabad Iran
| | - R. Salimnejad
- Research Laboratory for Embryology and Stem Cells; Department of Anatomical Sciences and Pathology; School of Medicine; Ardabil University of Medical Sciences; Ardabil Iran
| | - M. Moghimian
- Department of Basic Sciences; Faculty of Medicine; Gonabad University of Medical Sciences; Gonabad Iran
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Salavati H, Soltani M, Amanpour S. The pivotal role of angiogenesis in a multi-scale modeling of tumor growth exhibiting the avascular and vascular phases. Microvasc Res 2018; 119:105-116. [PMID: 29742454 DOI: 10.1016/j.mvr.2018.05.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Revised: 04/28/2018] [Accepted: 05/03/2018] [Indexed: 12/28/2022]
Abstract
The mechanisms involved in tumor growth mainly occur at the microenvironment, where the interactions between the intracellular, intercellular and extracellular scales mediate the dynamics of tumor. In this work, we present a multi-scale model of solid tumor dynamics to simulate the avascular and vascular growth as well as tumor-induced angiogenesis. The extracellular and intercellular scales are modeled using partial differential equations and cellular Potts model, respectively. Also, few biochemical and biophysical rules control the dynamics of intracellular level. On the other hand, the growth of melanoma tumors is modeled in an animal in-vivo study to evaluate the simulation. The simulation shows that the model successfully reproduces a completed image of processes involved in tumor growth such as avascular and vascular growth as well as angiogenesis. The model incorporates the phenotypes of cancerous cells including proliferating, quiescent and necrotic cells, as well as endothelial cells during angiogenesis. The results clearly demonstrate the pivotal effect of angiogenesis on the progression of cancerous cells. Also, the model exhibits important events in tumor-induced angiogenesis like anastomosis. Moreover, the computational trend of tumor growth closely follows the observations in the experimental study.
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Affiliation(s)
- Hooman Salavati
- Department of Mechanical Engineering, Pardis Branch, Islamic Azad University, Pardis, Iran
| | - M Soltani
- Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran; Computational Medicine Center, Tehran, Iran; Division of Nuclear Medicine, Department of Radiology and Radiological Science, School of Medicine, Johns Hopkins University, MD, USA; Department of Earth & Environmental Sciences, University of Waterloo, Ontario, Canada; Cancer Biology Research Centre, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran.
| | - Saeid Amanpour
- Cancer Biology Research Centre, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran
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