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Taha BA, Ahmed NM, Talreja RK, Haider AJ, Al Mashhadany Y, Al-Jubouri Q, Huddin AB, Mokhtar MHH, Rustagi S, Kaushik A, Chaudhary V, Arsad N. Synergizing Nanomaterials and Artificial Intelligence in Advanced Optical Biosensors for Precision Antimicrobial Resistance Diagnosis. ACS Synth Biol 2024; 13:1600-1620. [PMID: 38842483 DOI: 10.1021/acssynbio.4c00070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
Antimicrobial resistance (AMR) poses a critical global One Health concern, ensuing from unintentional and continuous exposure to antibiotics, as well as challenges in accurate contagion diagnostics. Addressing AMR requires a strategic approach that emphasizes early stage prevention through screening in clinical, environmental, farming, and livestock settings to identify nonvulnerable antimicrobial agents and the associated genes. Conventional AMR diagnostics, like antibiotic susceptibility testing, possess drawbacks, including high costs, time-consuming processes, and significant manpower requirements, underscoring the need for intelligent, prompt, and on-site diagnostic techniques. Nanoenabled artificial intelligence (AI)-supported smart optical biosensors present a potential solution by facilitating rapid point-of-care AMR detection with real-time, sensitive, and portable capabilities. This Review comprehensively explores various types of optical nanobiosensors, such as surface plasmon resonance sensors, whispering-gallery mode sensors, optical coherence tomography, interference reflection imaging sensors, surface-enhanced Raman spectroscopy, fluorescence spectroscopy, microring resonance sensors, and optical tweezer biosensors, for AMR diagnostics. By harnessing the unique advantages of these nanoenabled smart biosensors, a revolutionary paradigm shift in AMR diagnostics can be achieved, characterized by rapid results, high sensitivity, portability, and integration with Internet-of-Things (IoT) technologies. Moreover, nanoenabled optical biosensors enable personalized monitoring and on-site detection, significantly reducing turnaround time and eliminating the human resources needed for sample preservation and transportation. Their potential for holistic environmental surveillance further enhances monitoring capabilities in diverse settings, leading to improved modern-age healthcare practices and more effective management of antimicrobial treatments. Embracing these advanced diagnostic tools promises to bolster global healthcare capacity to combat AMR and safeguard One Health.
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Affiliation(s)
- Bakr Ahmed Taha
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia UKM, 43600 Bangi, Malaysia
| | - Naser M Ahmed
- Department of Laser and Optoelectronics Engineering, Dijlah University College, 00964 Baghdad, Iraq
| | - Rishi Kumar Talreja
- Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi 110029, India
| | - Adawiya J Haider
- Applied Sciences Department/Laser Science and Technology Branch, University of Technology, 00964 Baghdad, Iraq
| | - Yousif Al Mashhadany
- Department of Electrical Engineering, College of Engineering, University of Anbar, Anbar 00964, Iraq
| | - Qussay Al-Jubouri
- Department of Communication Engineering, University of Technology, 00964 Baghdad, Iraq
| | - Aqilah Baseri Huddin
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia UKM, 43600 Bangi, Malaysia
| | - Mohd Hadri Hafiz Mokhtar
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia UKM, 43600 Bangi, Malaysia
| | - Sarvesh Rustagi
- School of Applied and Life Sciences, Uttaranchal University, Dehradun, Uttrakhand 248007, India
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, Florida 33805, United States
| | - Vishal Chaudhary
- Physics Department, Bhagini Nivedita College, University of Delhi, New Delhi 110045, India
| | - Norhana Arsad
- Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia UKM, 43600 Bangi, Malaysia
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Saglam-Metiner P, Yildirim E, Dincer C, Basak O, Yesil-Celiktas O. Humanized brain organoids-on-chip integrated with sensors for screening neuronal activity and neurotoxicity. Mikrochim Acta 2024; 191:71. [PMID: 38168828 DOI: 10.1007/s00604-023-06165-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 12/21/2023] [Indexed: 01/05/2024]
Abstract
The complex structure and function of the human central nervous system that develops from the neural tube made in vitro modeling quite challenging until the discovery of brain organoids. Human-induced pluripotent stem cells-derived brain organoids offer recapitulation of the features of early human neurodevelopment in vitro, including the generation, proliferation, and differentiation into mature neurons and micro-macroglial cells, as well as the complex interactions among these diverse cell types of the developing brain. Recent advancements in brain organoids, microfluidic systems, real-time sensing technologies, and their cutting-edge integrated use provide excellent models and tools for emulation of fundamental neurodevelopmental processes, the pathology of neurological disorders, personalized transplantation therapy, and high-throughput neurotoxicity testing by bridging the gap between two-dimensional models and the complex three-dimensional environment in vivo. In this review, we summarize how bioengineering approaches are applied to mitigate the limitations of brain organoids for biomedical and clinical research. We further provide an extensive overview and future perspectives of the humanized brain organoids-on-chip platforms with integrated sensors toward brain organoid intelligence and biocomputing studies. Such approaches might pave the way for increasing approvable clinical applications by solving their current limitations.
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Affiliation(s)
- Pelin Saglam-Metiner
- Department of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey
- Department of Translational Neuroscience, Division of Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Ender Yildirim
- Department of Mechanical Engineering, Middle East Technical University, Ankara, Turkey
- ODTÜ MEMS Center, Ankara, Turkey
| | - Can Dincer
- Department of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany
- FIT Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Freiburg, Germany
| | - Onur Basak
- Department of Translational Neuroscience, Division of Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Ozlem Yesil-Celiktas
- Department of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey.
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Saglam-Metiner P, Duran E, Sabour-Takanlou L, Biray-Avci C, Yesil-Celiktas O. Differentiation of Neurons, Astrocytes, Oligodendrocytes and Microglia From Human Induced Pluripotent Stem Cells to Form Neural Tissue-On-Chip: A Neuroinflammation Model to Evaluate the Therapeutic Potential of Extracellular Vesicles Derived from Mesenchymal Stem Cells. Stem Cell Rev Rep 2024; 20:413-436. [PMID: 37938408 DOI: 10.1007/s12015-023-10645-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/17/2023] [Indexed: 11/09/2023]
Abstract
Advances in stem cell (SC) technology allow the generation of cellular models that recapitulate the histological, molecular and physiological properties of humanized in vitro three dimensional (3D) models, as well as production of cell-derived therapeutics such as extracellular vesicles (EVs). Improvements in organ-on-chip platforms and human induced pluripotent stem cells (hiPSCs) derived neural/glial cells provide unprecedented systems for studying 3D personalized neural tissue modeling with easy setup and fast output. Here, we highlight the key points in differentiation procedures for neurons, astrocytes, oligodendrocytes and microglia from single origin hiPSCs. Additionally, we present a well-defined humanized neural tissue-on-chip model composed of differentiated cells with the same genetic backgrounds, as well as the therapeutic potential of bone marrow mesenchymal stem cells (BMSCs)-derived extracellular vesicles to propose a novel treatment for neuroinflammation derived diseases. Around 100 nm CD9 + EVs promote a more anti-inflammatory and pro-remodeling of cell-cell interaction cytokine responses on tumor necrosis factor-α (TNF-α) induced neuroinflammation in neural tissue-on-chip model which is ideal for modeling authentic neural-glial patho-physiology.
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Affiliation(s)
- Pelin Saglam-Metiner
- Department of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey
- Department of Translational Neuroscience, Division of Neuroscience, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Elif Duran
- Department of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey
| | | | - Cigir Biray-Avci
- Department of Medical Biology, Faculty of Medicine, Ege University, Izmir, Turkey
| | - Ozlem Yesil-Celiktas
- Department of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey.
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Kabay G, Meydan AE, Eom T, Shim BS, Mutlu M, Kaleli-Can G. Stimuli-responsive nanoparticle-nanofiber hybrids for drug delivery and photodynamic therapy. Int J Pharm 2022; 630:122442. [PMID: 36442721 DOI: 10.1016/j.ijpharm.2022.122442] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/21/2022] [Accepted: 11/22/2022] [Indexed: 11/27/2022]
Abstract
Hybrid nanomaterials possess integrated multi-components to syncretize various properties and functions within a single entity. Owing to this synergistic effect, they promise efficient anti-cancer therapy. In line with this target, we produced stimuli-responsive nanoparticle-nanofiber hybrids (NNHs) via embedding photoresponsive natural melanin nanoparticles (MNPs) within a biocompatible polycaprolactone (PCL) nanofiber matrix. Electrospinning was performed to produce monolithic and core-shell structured NNHs using a single and a coaxial nozzle. The NNHs were upgraded to drug delivery systems by model hydrophilic drug-ampicillin (amp)-loading. The drug release results showed that monolithic PCL meshes displayed a burst release, whereas nanohybrid formation with MNPs improved the release profile toward Fickian diffusion. Core-shell NNH presented a more sustained drug release profile than its MNP-free replica and monolithic NNH because its encapsulating shell layer hindered the diffusion of the drug. The photodynamic therapy accompanied by UV-A-irradiation on monolithic and core-shell NNHs yielded up to 34 % and 37 % malignant melanoma cell death. Moreover, this study proved the potency of MNPs-enhanced NNHs in drug delivery and photodynamic therapy applications. Even so, more efforts should be concerted to unlock unknown features of the NNHs, which have the power to advance emerging areas, including but not limited to material science, biosensing, and theranostics.
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Affiliation(s)
- Gözde Kabay
- Plasma Aided Biomedical Research Group (pabmed), Department of Biomedical Engineering, TOBB University of Economics and Technology, 06560 Ankara, Turkey; Karlsruhe Institute of Technology, Institute of Functional Interfaces - IFG, 76344 Karlsruhe, Germany.
| | - Ahmet Ersin Meydan
- Plasma Aided Biomedical Research Group (pabmed), Department of Biomedical Engineering, TOBB University of Economics and Technology, 06560 Ankara, Turkey; Department of Molecular Medicine, Graduate School of Health Sciences, TOBB University of Economics and Technology, 06560 Ankara, Turkey
| | - Taesik Eom
- Soft Matter Laboratory, Department of Chemical Engineering, Inha University, Incheon 402-751, South Korea
| | - Bong Sup Shim
- Soft Matter Laboratory, Department of Chemical Engineering, Inha University, Incheon 402-751, South Korea
| | - Mehmet Mutlu
- Plasma Aided Biomedical Research Group (pabmed), Department of Biomedical Engineering, TOBB University of Economics and Technology, 06560 Ankara, Turkey; Department of Material Science and Engineering, Faculty of Engineering, Ostim Technical University, 06374 Ankara, Turkey
| | - Gizem Kaleli-Can
- Plasma Aided Biomedical Research Group (pabmed), Department of Biomedical Engineering, TOBB University of Economics and Technology, 06560 Ankara, Turkey; Department of Biomedical Engineering, İzmir Democracy University, 35140 İzmir, Turkey.
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