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Mathur T, Tronolone JJ, Jain A. AngioMT: A MATLAB based 2D image-to-physics tool to predict oxygen transport in vascularized microphysiological systems. PLoS One 2024; 19:e0299160. [PMID: 38748761 PMCID: PMC11095698 DOI: 10.1371/journal.pone.0299160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 02/06/2024] [Indexed: 05/19/2024] Open
Abstract
Microphysiological models (MPS) are increasingly getting recognized as in vitro preclinical systems of pathophysiology and drug discovery. However, there is also a growing need to adapt and advance MPS to include the physiological contributions of the capillary vascular dynamics, because they undergo angiogenesis or vasculogenesis to deliver soluble oxygen and nutrients to its organs. Currently, the process of formation of microvessels in MPS is measured arbitrarily, and vascularized MPS do not include oxygen measurements in their analysis. Sensing and measuring tissue oxygen delivery is extremely difficult because it requires access to opaque and deep tissue, and/or requires extensive integration of biosensors that makes such systems impractical to use in the real world. Here, a finite element method-based oxygen transport program, called AngioMT, is built in MATLAB. AngioMT processes the routinely acquired 2D confocal images of microvascular networks in vitro and solves physical equations of diffusion-reaction dominated oxygen transport phenomena. This user-friendly image-to-physics transition in AngioMT is an enabling tool of MPS analysis because unlike the averaged morphological measures of vessels, it provides information of the spatial transport of oxygen both within the microvessels and the surrounding tissue regions. Further, it solves the more complex higher order reaction mechanisms which also improve the physiological relevance of this tool when compared directly against in vivo measurements. Finally, the program is applied in a multicellular vascularized MPS by including the ability to define additional organ/tissue subtypes in complex co-cultured systems. Therefore, AngioMT serves as an analytical tool to enhance the predictive power and performance of MPS that incorporate microcirculation.
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Affiliation(s)
- Tanmay Mathur
- Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America
| | - James J. Tronolone
- Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America
| | - Abhishek Jain
- Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America
- Department of Medical Physiology, College of Medicine, Texas A&M Health Science Center, Bryan, Texas, United States of America
- Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, Texas, United States of America
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Yu T, Yang Q, Peng B, Gu Z, Zhu D. Vascularized organoid-on-a-chip: design, imaging, and analysis. Angiogenesis 2024; 27:147-172. [PMID: 38409567 DOI: 10.1007/s10456-024-09905-z] [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: 09/22/2023] [Accepted: 01/11/2024] [Indexed: 02/28/2024]
Abstract
Vascularized organoid-on-a-chip (VOoC) models achieve substance exchange in deep layers of organoids and provide a more physiologically relevant system in vitro. Common designs for VOoC primarily involve two categories: self-assembly of endothelial cells (ECs) to form microvessels and pre-patterned vessel lumens, both of which include the hydrogel region for EC growth and allow for controlled fluid perfusion on the chip. Characterizing the vasculature of VOoC often relies on high-resolution microscopic imaging. However, the high scattering of turbid tissues can limit optical imaging depth. To overcome this limitation, tissue optical clearing (TOC) techniques have emerged, allowing for 3D visualization of VOoC in conjunction with optical imaging techniques. The acquisition of large-scale imaging data, coupled with high-resolution imaging in whole-mount preparations, necessitates the development of highly efficient analysis methods. In this review, we provide an overview of the chip designs and culturing strategies employed for VOoC, as well as the applicable optical imaging and TOC methods. Furthermore, we summarize the vascular analysis techniques employed in VOoC, including deep learning. Finally, we discuss the existing challenges in VOoC and vascular analysis methods and provide an outlook for future development.
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Affiliation(s)
- Tingting Yu
- Britton Chance Center for Biomedical Photonics - MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
- Wuhan National Laboratory for Optoelectronics - Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Qihang Yang
- Britton Chance Center for Biomedical Photonics - MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
- Wuhan National Laboratory for Optoelectronics - Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Bo Peng
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, Shanxi, 710072, China
| | - Zhongze Gu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu, 210096, China
- Institute of Biomaterials and Medical Devices, Southeast University, Suzhou, Jiangsu, 215163, China
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics - MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
- Wuhan National Laboratory for Optoelectronics - Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
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Tronolone JJ, Mohamed N, Jain A. Engineering Lymphangiogenesis-On-Chip: The Independent and Cooperative Regulation by Biochemical Factors, Gradients, and Interstitial Fluid Flow. Adv Biol (Weinh) 2024; 8:e2400031. [PMID: 38400704 DOI: 10.1002/adbi.202400031] [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: 01/25/2024] [Indexed: 02/25/2024]
Abstract
Despite the crucial role of lymphangiogenesis during development and in several diseases with implications for tissue regeneration, immunity, and cancer, there are significantly fewer tools to understand this process relative to angiogenesis. While there has been a major surge in modeling angiogenesis with microphysiological systems, they have not been rigorously optimized or standardized to enable the recreation of the dynamics of lymphangiogenesis. Here, a Lymphangiogenesis-Chip (L-Chip) is engineered, within which new sprouts form and mature depending upon the imposition of interstitial flow, growth factor gradients, and pre-conditioning of endothelial cells with growth factors. The L-Chip reveals the independent and combinatorial effects of these mechanical and biochemical determinants of lymphangiogenesis, thus ultimately resulting in sprouts emerging from a parent vessel and maturing into tubular structures up to 1 mm in length within 4 days, exceeding prior art. Further, when the constitution of the pre-conditioning cocktail and the growth factor cocktail used to initiate and promote lymphangiogenesis are dissected, it is found that endocan (ESM-1) results in more dominant lymphangiogenesis relative to angiogenesis. Therefore, The L-Chip provides a foundation for standardizing the microfluidics assays specific to lymphangiogenesis and for accelerating its basic and translational science at par with angiogenesis.
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Affiliation(s)
- James J Tronolone
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Nadin Mohamed
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Abhishek Jain
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, TX, 77843, USA
- Department of Medical Physiology, School of Medicine, Texas A&M Health Science Center, Bryan, TX, 77807, USA
- Department of Cardiovascular Sciences, Houston Methodist Academic Institute, Houston, TX, 77030, USA
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Serrano JC, Gillrie MR, Li R, Ishamuddin SH, Moeendarbary E, Kamm RD. Microfluidic-Based Reconstitution of Functional Lymphatic Microvasculature: Elucidating the Role of Lymphatics in Health and Disease. Adv Sci (Weinh) 2024; 11:e2302903. [PMID: 38059806 PMCID: PMC10837354 DOI: 10.1002/advs.202302903] [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] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/17/2023] [Indexed: 12/08/2023]
Abstract
The knowledge of the blood microvasculature and its functional role in health and disease has grown significantly attributable to decades of research and numerous advances in cell biology and tissue engineering; however, the lymphatics (the secondary vascular system) has not garnered similar attention, in part due to a lack of relevant in vitro models that mimic its pathophysiological functions. Here, a microfluidic-based approach is adopted to achieve precise control over the biological transport of growth factors and interstitial flow that drive the in vivo growth of lymphatic capillaries (lymphangiogenesis). The engineered on-chip lymphatics with in vivo-like morphology exhibit tissue-scale functionality with drainage rates of interstitial proteins and molecules comparable to in vivo standards. Computational and scaling analyses of the underlying transport phenomena elucidate the critical role of the three-dimensional geometry and lymphatic endothelium in recapitulating physiological drainage. Finally, the engineered on-chip lymphatics enabled studies of lymphatic-immune interactions that revealed inflammation-driven responses by the lymphatics to recruit immune cells via chemotactic signals similar to in vivo, pathological events. This on-chip lymphatics platform permits the interrogation of various lymphatic biological functions, as well as screening of lymphatic-based therapies such as interstitial absorption of protein therapeutics and lymphatic immunomodulation for cancer therapy.
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Affiliation(s)
- Jean C. Serrano
- Department of Mechanical EngineeringMassachusetts Institute of TechnologyCambridgeMA02139USA
| | - Mark R. Gillrie
- Department of Biological EngineeringMassachusetts Institute of TechnologyCambridgeMA02139USA
- Department of Medicine University of CalgaryCalgaryABT2N 1N4Canada
| | - Ran Li
- Center for Systems Biology Massachusetts General Hospital Research InstituteBostonMA02114USA
| | - Sarah H. Ishamuddin
- Department of Biological EngineeringMassachusetts Institute of TechnologyCambridgeMA02139USA
| | - Emad Moeendarbary
- Department of Biological EngineeringMassachusetts Institute of TechnologyCambridgeMA02139USA
- Department of Mechanical EngineeringUniversity College LondonTorrington PlaceLondonWC1E 7JEUK
- 199 Biotechnologies LtdGloucester RoadLondonW2 6LDUK
| | - Roger D. Kamm
- Department of Mechanical EngineeringMassachusetts Institute of TechnologyCambridgeMA02139USA
- Department of Biological EngineeringMassachusetts Institute of TechnologyCambridgeMA02139USA
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