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Gao L, Ramirez FJ, Cabrera JTO, Varghese MV, Watanabe M, Tsuji-Hosokawa A, Zheng Q, Yang M, Razan MR, Kempf CL, Camp SM, Wang J, Garcia JGN, Makino A. eNAMPT is a novel therapeutic target for mitigation of coronary microvascular disease in type 2 diabetes. Diabetologia 2024:10.1007/s00125-024-06201-9. [PMID: 38898303 DOI: 10.1007/s00125-024-06201-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 04/25/2024] [Indexed: 06/21/2024]
Abstract
AIMS/HYPOTHESIS Individuals with diabetes are at high risk of cardiovascular complications, which significantly increase morbidity/mortality. Coronary microvascular disease (CMD) is recognised as a critical contributor to the increased cardiac mortality observed in people with diabetes. Therefore, there is an urgent need for treatments that are specific to CMD. eNAMPT (extracellular nicotinamide phosphoribosyltransferase) is a damage-associated molecular pattern and TLR4 ligand, whose plasma levels are elevated in people with diabetes. This study was thus designed to investigate the pathogenic role of intracellular nicotinamide phosphoribosyltransferase (iNAMPT) and eNAMPT in promoting the development of CMD in a preclinical murine model of type 2 diabetes. METHODS An inducible type 2 diabetic mouse model was generated by a single injection of low-dose streptozocin (75 mg/kg, i.p.) combined with a high-fat diet for 16 weeks. The in vivo effects of i/eNAMPT inhibition on cardiac endothelial cell (CEC) function were evaluated by using Nampt+/- heterozygous mice, chronic administration of eNAMPT-neutralising monoclonal antibody (mAb) or use of an NAMPT enzymatic inhibitor (FK866). RESULTS As expected, diabetic wild-type mice exhibited significantly lower coronary flow velocity reserve (CFVR), a determinant of coronary microvascular function, compared with control wild-type mice. eNAMPT plasma levels or expression in CECs were significantly greater in diabetic mice than in control mice. Furthermore, in comparison with diabetic wild-type mice, diabetic Nampt+/- heterozygous mice showed markedly improved CFVR, accompanied by increased left ventricular capillary density and augmented endothelium-dependent relaxation (EDR) in the coronary artery. NAMPT inhibition by FK866 or an eNAMPT-neutralising mAb significantly increased CFVR in diabetic mice. Furthermore, administration of the eNAMPT mAb upregulated expression of angiogenesis- and EDR-related genes in CECs from diabetic mice. Treatment with either eNAMPT or NAD+ significantly decreased CEC migration and reduced EDR in coronary arteries, partly linked to increased production of mitochondrial reactive oxygen species. CONCLUSIONS/INTERPRETATION These data indicate that increased i/eNAMPT expression contributes to the development of diabetic coronary microvascular dysfunction, and provide compelling support for eNAMPT inhibition as a novel and effective therapeutic strategy for CMD in diabetes.
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Affiliation(s)
- Lei Gao
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Francisco J Ramirez
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center for Inflammation Science and Systems Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, University of Florida, Jupiter, FL, USA
| | - Jody Tori O Cabrera
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | | | - Makiko Watanabe
- Department of Physiology, The University of Arizona, Tucson, AZ, USA
| | | | - Qiuyu Zheng
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Mingya Yang
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center for Inflammation Science and Systems Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, University of Florida, Jupiter, FL, USA
| | - Md Rahatullah Razan
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Carrie L Kempf
- Center for Inflammation Science and Systems Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, University of Florida, Jupiter, FL, USA
| | - Sara M Camp
- Center for Inflammation Science and Systems Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, University of Florida, Jupiter, FL, USA
| | - Jian Wang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Joe G N Garcia
- Center for Inflammation Science and Systems Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, University of Florida, Jupiter, FL, USA
| | - Ayako Makino
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
- Center for Inflammation Science and Systems Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, University of Florida, Jupiter, FL, USA.
- Department of Physiology, The University of Arizona, Tucson, AZ, USA.
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2
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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] [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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3
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Whitworth CP, Polacheck WJ. Vascular organs-on-chip made with patient-derived endothelial cells: technologies to transform drug discovery and disease modeling. Expert Opin Drug Discov 2024; 19:339-351. [PMID: 38117223 PMCID: PMC10922379 DOI: 10.1080/17460441.2023.2294947] [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: 06/30/2023] [Accepted: 12/11/2023] [Indexed: 12/21/2023]
Abstract
INTRODUCTION Vascular diseases impart a tremendous burden on healthcare systems in the United States and across the world. Efforts to improve therapeutic interventions are hindered by limitations of current experimental models. The integration of patient-derived cells with organ-on-chip (OoC) technology is a promising avenue for preclinical drug screening that improves upon traditional cell culture and animal models. AREAS COVERED The authors review induced pluripotent stem cells (iPSC) and blood outgrowth endothelial cells (BOEC) as two sources for patient-derived endothelial cells (EC). They summarize several studies that leverage patient-derived EC and OoC for precision disease modeling of the vasculature, with a focus on applications for drug discovery. They also highlight the utility of patient-derived EC in other translational endeavors, including ex vivo organogenesis and multi-organ-chip integration. EXPERT OPINION Precision disease modeling continues to mature in the academic space, but end-use by pharmaceutical companies is currently limited. To fully realize their transformative potential, OoC systems must balance their complexity with their ability to integrate with the highly standardized and high-throughput experimentation required for drug discovery and development.
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Affiliation(s)
- Chloe P Whitworth
- Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - William J Polacheck
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
- McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC, USA
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4
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Ng CY, Cheung C. Origins and functional differences of blood endothelial cells. Semin Cell Dev Biol 2024; 155:23-29. [PMID: 37202277 DOI: 10.1016/j.semcdb.2023.05.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 05/05/2023] [Accepted: 05/05/2023] [Indexed: 05/20/2023]
Abstract
The interests in blood endothelial cells arise from their therapeutic potential in vascular repair and regeneration. Our understanding of blood endothelial cells that exist in the circulation has been evolving significantly from the original concept of endothelial progenitor cells. Many studies have uncovered heterogeneities of blood endothelial subtypes where some cells express both endothelial and hematopoietic antigens, and others possess either mature or immature endothelial markers. Due to the lack of definitive cell marker identities, there have been momentums in the field to adopt a technical-oriented labeling system based on the cells' involvement in postnatal neovascularization and cell culture derivatives. Our review streamlines nomenclatures for blood endothelial subtypes and standardizes understanding of their functional differences. Broadly, we will discuss about myeloid angiogenic cells (MACs), endothelial colony-forming cells (ECFCs), blood outgrowth endothelial cells (BOECs) and circulating endothelial cells (CECs). The strategic location of blood endothelial cells confers them essential roles in supporting physiological processes. MACs exert angiogenic effects through paracrine mechanisms, while ECFCs are recruited to sites of vascular injury to participate directly in new vessel formation. BOECs are an in vitro derivative of ECFCs. CECs are shed into the bloodstream from damaged vessels, hence reflective of endothelial dysfunction. With clarity on the functional attributes of blood endothelial subtypes, we present recent advances in their applications in disease modelling, along with serving as biomarkers of vascular tissue homeostasis.
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Affiliation(s)
- Chun-Yi Ng
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Christine Cheung
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.
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5
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Mieville V, Griffioen AW, Benamran D, Nowak-Sliwinska P. Advanced in vitro models for renal cell carcinoma therapy design. Biochim Biophys Acta Rev Cancer 2023; 1878:188942. [PMID: 37343729 DOI: 10.1016/j.bbcan.2023.188942] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 06/23/2023]
Abstract
Renal cell carcinoma (RCC) and its principal subtype, clear cell RCC, are the most diagnosed kidney cancer. Despite substantial improvement over the last decades, current pharmacological intervention still fails to achieve long-term therapeutic success. RCC is characterized by a high intra- and inter-tumoral heterogeneity and is heavily influenced by the crosstalk of the cells composing the tumor microenvironment, such as cancer-associated fibroblasts, endothelial cells and immune cells. Moreover, multiple physicochemical properties such as pH, interstitial pressure or oxygenation may also play an important role. These elements are often poorly recapitulated in in vitro models used for drug development. This inadequate recapitulation of the tumor is partially responsible for the current lack of an effective and curative treatment. Therefore, there are needs for more complex in vitro or ex vivo drug screening models. In this review, we discuss the current state-of-the-art of RCC models and suggest strategies for their further development.
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Affiliation(s)
- Valentin Mieville
- School of Pharmaceutical Sciences, Faculty of Sciences, University of Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland; Translational Research Center in Oncohaematology, Geneva, Switzerland
| | - Arjan W Griffioen
- Angiogenesis Laboratory, Department of Medical Oncology, Amsterdam UMC, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Daniel Benamran
- Division of Urology, Geneva University Hospitals, Geneva, Switzerland
| | - Patrycja Nowak-Sliwinska
- School of Pharmaceutical Sciences, Faculty of Sciences, University of Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland; Translational Research Center in Oncohaematology, Geneva, Switzerland.
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Tronolone JJ, Mathur T, Chaftari CP, Jain A. Evaluation of the Morphological and Biological Functions of Vascularized Microphysiological Systems with Supervised Machine Learning. Ann Biomed Eng 2023; 51:1723-1737. [PMID: 36913087 DOI: 10.1007/s10439-023-03177-2] [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] [Received: 10/07/2022] [Accepted: 02/22/2023] [Indexed: 03/14/2023]
Abstract
Vascularized microphysiological systems and organoids are contemporary preclinical experimental platforms representing human tissue or organ function in health and disease. While vascularization is emerging as a necessary physiological organ-level feature required in most such systems, there is no standard tool or morphological metric to measure the performance or biological function of vascularized networks within these models. Further, the commonly reported morphological metrics may not correlate to the network's biological function-oxygen transport. Here, a large library of vascular network images was analyzed by the measure of each sample's morphology and oxygen transport potential. The oxygen transport quantification is computationally expensive and user-dependent, so machine learning techniques were examined to generate regression models relating morphology to function. Principal component and factor analyses were applied to reduce dimensionality of the multivariate dataset, followed by multiple linear regression and tree-based regression analyses. These examinations reveal that while several morphological data relate poorly to the biological function, some machine learning models possess a relatively improved, but still moderate predictive potential. Overall, random forest regression model correlates to the biological function of vascular networks with relatively higher accuracy than other regression models.
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Affiliation(s)
- James J Tronolone
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, 101 Bizzell Street, College Station, TX, 77843, USA
| | - Tanmay Mathur
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, 101 Bizzell Street, College Station, TX, 77843, USA
| | - Christopher P Chaftari
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, 101 Bizzell Street, College Station, TX, 77843, USA
| | - Abhishek Jain
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, 101 Bizzell Street, College Station, TX, 77843, USA.
- Department of Medical Physiology, School of Medicine, Texas A&M University, Bryan, TX, USA.
- Department of Cardiovascular Sciences, Houston Methodist Academic Institute, Houston, USA.
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7
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Groten SA, Smit ER, Janssen EFJ, van den Eshof BL, van Alphen FPJ, van der Zwaan C, Meijer AB, Hoogendijk AJ, Biggelaar MVD. Multi-omics delineation of cytokine-induced endothelial inflammatory states. Commun Biol 2023; 6:525. [PMID: 37188730 PMCID: PMC10184633 DOI: 10.1038/s42003-023-04897-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 05/02/2023] [Indexed: 05/17/2023] Open
Abstract
Vascular endothelial cells (ECs) form a dynamic interface between blood and tissue and play a crucial role in the progression of vascular inflammation. Here, we aim to dissect the system-wide molecular mechanisms of inflammatory endothelial-cytokine responses. Applying an unbiased cytokine library, we determined that TNFα and IFNγ induced the largest EC response resulting in distinct proteomic inflammatory signatures. Notably, combined TNFα + IFNγ stimulation induced an additional synergetic inflammatory signature. We employed a multi-omics approach to dissect these inflammatory states, combining (phospho-) proteome, transcriptome and secretome and found, depending on the stimulus, a wide-array of altered immune-modulating processes, including complement proteins, MHC complexes and distinct secretory cytokines. Synergy resulted in cooperative activation of transcript induction. This resource describes the intricate molecular mechanisms that are at the basis of endothelial inflammation and supports the adaptive immunomodulatory role of the endothelium in host defense and vascular inflammation.
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Affiliation(s)
- Stijn A Groten
- Department of Molecular Hematology, Sanquin Research, Amsterdam, 1066 CX, The Netherlands
| | - Eva R Smit
- Department of Molecular Hematology, Sanquin Research, Amsterdam, 1066 CX, The Netherlands
| | - Esmée F J Janssen
- Department of Molecular Hematology, Sanquin Research, Amsterdam, 1066 CX, The Netherlands
| | - Bart L van den Eshof
- Department of Molecular Hematology, Sanquin Research, Amsterdam, 1066 CX, The Netherlands
| | - Floris P J van Alphen
- Department of Molecular Hematology, Sanquin Research, Amsterdam, 1066 CX, The Netherlands
| | - Carmen van der Zwaan
- Department of Molecular Hematology, Sanquin Research, Amsterdam, 1066 CX, The Netherlands
| | - Alexander B Meijer
- Department of Molecular Hematology, Sanquin Research, Amsterdam, 1066 CX, The Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, 3584 CS, The Netherlands
| | - Arie J Hoogendijk
- Department of Molecular Hematology, Sanquin Research, Amsterdam, 1066 CX, The Netherlands
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8
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Tronolone JJ, Mathur T, Chaftari CP, Jain A. Evaluation of the morphological and biological functions of vascularized microphysiological systems with supervised machine learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.12.523755. [PMID: 36711458 PMCID: PMC9882172 DOI: 10.1101/2023.01.12.523755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Vascularized microphysiological systems and organoids are contemporary preclinical experimental platforms representing human tissue or organ function in health and disease. While vascularization is emerging as a necessary physiological organ-level feature required in most such systems, there is no standard tool or morphological metric to measure the performance or biological function of vascularized networks within these models. Further, the commonly reported morphological metrics may not correlate to the network's biological function - oxygen transport. Here, a large library of vascular network images was analyzed by the measure of each sample's morphology and oxygen transport potential. The oxygen transport quantification is computationally expensive and user-dependent, so machine learning techniques were examined to generate regression models relating morphology to function. Principal component and factor analyses were applied to reduce dimensionality of the multivariate dataset, followed by multiple linear regression and tree-based regression analyses. These examinations reveal that while several morphological data relate poorly to the biological function, some machine learning models possess a relatively improved, but still moderate predictive potential. Overall, random forest regression model correlates to the biological function of vascular networks with relatively higher accuracy than other regression models.
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9
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McCloskey MC, Zhang VZ, Ahmad SD, Walker S, Romanick SS, Awad HA, McGrath JL. Sourcing cells for in vitro models of human vascular barriers of inflammation. FRONTIERS IN MEDICAL TECHNOLOGY 2022; 4:979768. [PMID: 36483299 PMCID: PMC9724237 DOI: 10.3389/fmedt.2022.979768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/29/2022] [Indexed: 07/20/2023] Open
Abstract
The vascular system plays a critical role in the progression and resolution of inflammation. The contributions of the vascular endothelium to these processes, however, vary with tissue and disease state. Recently, tissue chip models have emerged as promising tools to understand human disease and for the development of personalized medicine approaches. Inclusion of a vascular component within these platforms is critical for properly evaluating most diseases, but many models to date use "generic" endothelial cells, which can preclude the identification of biomedically meaningful pathways and mechanisms. As the knowledge of vascular heterogeneity and immune cell trafficking throughout the body advances, tissue chip models should also advance to incorporate tissue-specific cells where possible. Here, we discuss the known heterogeneity of leukocyte trafficking in vascular beds of some commonly modeled tissues. We comment on the availability of different tissue-specific cell sources for endothelial cells and pericytes, with a focus on stem cell sources for the full realization of personalized medicine. We discuss sources available for the immune cells needed to model inflammatory processes and the findings of tissue chip models that have used the cells to studying transmigration.
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Affiliation(s)
- Molly C. McCloskey
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States
| | - Victor Z. Zhang
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States
| | - S. Danial Ahmad
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States
| | - Samuel Walker
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States
| | - Samantha S. Romanick
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States
| | - Hani A. Awad
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, United States
- Department of Orthopaedics, University of Rochester Medical Center, Rochester, NY, United States
| | - James L. McGrath
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States
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Mathur T, Kumar A, Flanagan JM, Jain A. Vascular Transcriptomics: Investigating Endothelial Activation and Vascular Dysfunction Using Blood Outgrowth Endothelial Cells, Organ-Chips, and RNA Sequencing. Curr Protoc 2022; 2:e582. [PMID: 36300922 PMCID: PMC9627633 DOI: 10.1002/cpz1.582] [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] [Indexed: 11/06/2022]
Abstract
Vascular organ-chip or vessel-chip technology has significantly impacted our ability to model microphysiological vasculature. These biomimetic platforms have garnered significant interest from scientists and pharmaceutical companies as drug screening models. However, these models still lack the inclusion of patient-specific vasculature in the form of patient-derived endothelial cells. Blood outgrowth endothelial cells are patient blood-derived endothelial progenitors that have gained interest from the vascular biology community as an autologous endothelial cell alternative and have also been incorporated with the vessel-chip model. Next-generation sequencing techniques like RNA sequencing can further unlock the potential of personalized vessel-chips in discerning patient-specific hallmarks of endothelial dysfunction. Here we present a detailed protocol for (1) isolating blood outgrowth endothelial cells from patient blood samples, (2) culturing them in microfluidic vessel-chips, (3) isolating and preparing RNA from individual vessel-chips for sequencing, and (4) performing differential gene expression and bioinformatics analyses of vascular dysfunction and endothelial activation pathways. This method focuses specifically on identification of pathways and genes involved in vascular homeostasis and pathology, but can easily be adapted for the requirements of other systems. © 2022 Wiley Periodicals LLC. Basic Protocol 1: Isolation of blood outgrowth endothelial cells from patient blood Basic Protocol 2: Culture of blood outgrowth endothelial cells in microfluidic vessel-chips Basic Protocol 3: Isolation of RNA from autologous vessel-chips Basic Protocol 4: Differential gene expression and bioinformatics analyses of endothelial activation pathways.
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Affiliation(s)
- Tanmay Mathur
- Department of Biomedical Engineering, Texas A&M University, 101 Bizzell St, College Station, USA
| | - Ankit Kumar
- Department of Biomedical Engineering, Texas A&M University, 101 Bizzell St, College Station, USA
| | - Jonathan M. Flanagan
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, USA
| | - Abhishek Jain
- Department of Biomedical Engineering, Texas A&M University, 101 Bizzell St, College Station, USA
- Department of Medical Physiology, College of Medicine, Texas A&M Health Science Center, Bryan, USA
- Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, USA
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Royse MK, Means AK, Calderon GA, Kinstlinger IS, He Y, Durante MR, Procopio A, Veiseh O, Xu J. A 3D printable perfused hydrogel vascular model to assay ultrasound-induced permeability. Biomater Sci 2022; 10:3158-3173. [DOI: 10.1039/d2bm00223j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The development of an in vitro model to study vascular permeability is vital for clinical applications such as the targeted delivery of therapeutics. This work demonstrates the use of a...
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