| Literature DB >> 31259171 |
Seep Arora1,2, Evelyn K F Yim3, Yi-Chin Toh1,2,4,5.
Abstract
Endothelial cells (ECs) are required for a multitude of cardiovascular clinical applications, such as revascularization of ischemic tissues or endothelialization of tissue engineered grafts. Patient derived primary ECs are limited in number, have donor variabilities and their in vitro phenotypes and functions can deteriorate over time. This necessitates the exploration of alternative EC sources. Although there has been a recent surge in the use of pluripotent stem cell derived endothelial cells (PSC-ECs) for various cardiovascular clinical applications, current differentiation protocols yield a heterogeneous EC population, where their specification into arterial or venous subtypes is undefined. Since arterial and venous ECs are phenotypically and functionally different, inappropriate matching of exogenous ECs to host sites can potentially affect clinical efficacy, as exemplified by venous graft mismatch when placed into an arterial environment. Therefore, there is a need to design and employ environmental cues that can effectively modulate PSC-ECs into a more homogeneous arterial or venous phenotype for better adaptation to the host environment, which will in turn contribute to better application efficacy. In this review, we will first give an overview of the developmental and functional differences between arterial and venous ECs. This provides the foundation for our subsequent discussion on the different bioengineering strategies that have been investigated to varying extent in providing biochemical and biophysical environmental cues to mature PSC-ECs into arterial or venous subtypes. The ability to efficiently leverage on a combination of biochemical and biophysical environmental cues to modulate intrinsic arterio-venous specification programs in ECs will greatly facilitate future translational applications of PSC-ECs. Since the development and maintenance of arterial and venous ECs in vivo occur in disparate physio-chemical microenvironments, it is conceivable that the application of these environmental factors in customized combinations or magnitudes can be used to selectively mature PSC-ECs into an arterial or venous subtype.Entities:
Keywords: arterial specification; endothelial cells; environmental cues; functional maturation; human pluripotent stem cells; shear stress; substrate topography
Year: 2019 PMID: 31259171 PMCID: PMC6587665 DOI: 10.3389/fbioe.2019.00143
Source DB: PubMed Journal: Front Bioeng Biotechnol ISSN: 2296-4185
Figure 1The developmental and physiological functions of arteries and veins are governed by different environmental factors. (A) The different basement membrane architectures of the artery and vein [SEM images adapted from Liliensiek et al. (2009), reproduced with permission from Mary Ann Liebert, Inc., New Rochelle, NY]. (B) Different shear stress experienced by arteries and veins. (C) Different differentiation pathways of artery and vein during embryonic development. (D) Artery and vein experience different oxygenation levels of the blood.
Derivation and characterization of ECs from PSCs classified by culture method.
| hESC | EB formation | vWF, CD31, VE-Cadherin |
Matrigel tube formation assay | CD31+ cell sorting | Levenberg et al., |
| hESC | EB formation | VE-Cadherin, vWF, CD-31 |
Acetylated low density lipoprotein (Ac-LDL) uptake | CD34+ cell sorting | Ferreira et al., |
| hESC | EB formation | vWF, CD31, CD144 |
TNFα stimulated ICAM-1 expression Ac-LDL uptake Matrigel tube formation assay | CD144+ and KDR+ cell sorting | Goldman et al., |
| hESC | EB formation | CD31, VE-Cadherin, vWF |
Ac-LDL uptake Nitric oxide synthase expression TNF-α stimulated ICAM-1, VCAM-1 expression | CD31+ cell sorting | Nourse et al., |
| hiPSC | EB formation | VE-Cadherin, VWF, CD31 |
Ac-LDL uptake Matrigel tube formation assay | Isolation and media enrichment | Feng et al., |
| mESC | EB formation | VE-Cadherin, vWF, and eNOS |
Ac-LDL uptake | VE-Cadherin+ cell sorting | Huang et al., |
| hiPSC | EB formation | VE-Cadherin, VEGFR2, CD31, eNOS |
Ac-LDL uptake. Matrigel tube formation assay TNF α & IL-1β stimulated ICAM-1 expression | VE-Cadherin+ cell sorting | Adams et al., |
| hiPSC | EB formation | eNOS, vWF, VEGFR2 |
Ac-LDL uptake Matrigel tube formation assay TNFα stimulated ICAM1 expression | CD31+ cell sorting | Rufaihah et al., |
| hiPSC | EB formation in FBS and BMP4 (20 ng/ml) | CD31, VE-Cadherin, vWF, eNOS, VEGFR2 |
Ac-LDL uptake Matrigel tube formation assay | CD31+ cell sorting | Sivarapatna et al., |
| hiPSC | EB formation | CD31, VE-Cadherin, eNOS |
Ac-LDL uptake Matrigel tube formation assay | VE-Cadherin+ cell sorting | Nakayama et al., |
| mESC | Co-culture with OP9 feeder layer | VEGFR2, VE-Cadherin, CD31, CD34 |
None | VEGFR2+ cell sorting | Hirashima et al., |
| hESC | Co-culture with OP9 feeder cells | VEGFR2 (showed similarity to bone marrow hematopoietic progenitors) |
None | CD34+ cell sorting | Vodyanik et al., |
| hESC | Mouse embryonic fibroblasts with FB | CD31, VE-Cadherin, vWF, VEGFR2, EphB4, EphrinB2 |
Ac-LDL uptake Matrigel tube formation assay | CD34+ cell sorting | Wang et al., |
| hESC | Co-culture with OP9 feeder layer | CD31, VE-Cadherin |
3D matrix tube formation assay Ac-LDL uptake | CD31+, VE-Cadherin+ cell sorting | Kelly and Hirschi, |
| hiPSC | Co-culture with OP9 feeder layer | VE-Cadherin |
Matrigel tube formation assay | CD31+ cell sorting | Choi et al., |
| hiPSC | Co-culture with OP9 feeder layer | CD31, eNOS |
Matrigel tube formation assay | VEGFR2+, VE- Cadherin+ cell sorting | Taura et al., |
| hESC | Fibroblast ECM substrate Hypoxia (5 and 1% O2 concentrations) | CD31, VE-Cadherin, CD34, VEGFR2 |
3D matrix tube formation assay | None | Prado-Lopez et al., |
| hESC | Direct Differentiation with FGF2, fibroblast conditioned media | VEGFR2, CD31, VE-Cadherin |
Nitric Oxide (NO) production, | - | Kane Nicole et al., |
| hESC/hiPSC | Direct Differentiation CHIR99021 (6–10 μM), 60 μg/ml ascorbic acid | CD31, VE-Cadherin, vWF |
Ac-LDL uptake Matrigel tube formation assay TNFα mediated immune response | CD34+ magnetic sorting | Lian et al., |
| hESC/hiPSC | Mesodermal induction Y-27632 (10 mM) | CD31, CDH5 |
| CD31+ cell sorting | Wu et al., |
| hiPSC | Direct Differentiation | UEA-1, vWF, CD31, VE-Cadherin, VEGFR2 |
Ac-LDL uptake TNF α stimulated ICAM-1 expression ZO-1 expression Matrigel tube formation assay Cell attachment under flow | CD31+ cell sorting | Belair et al., |
| hiPSC | Direct Differentiation Stage I | vWF, CD31 |
Matrigel tube formation assay TNF α stimulated monocyte adhesion Cell attachment under flow | CD31+ cell sorting | Wang et al., |
| Stage II VEGF (50 ng/ml), | |||||
| hESC/hiPSC | Direct Differentiation GSK3β inhibition CHIR990221 (3 μM) | vWF, VE-Cadherin |
NO production Matrigel tube formation assay Ac-LDL uptake | VE-Cadherin+, CDH5+ cell sorting | Lee et al., |
| hiPSC | Direct Differentiation | CD31, VE-Cadherin, eNOS |
Ac-LDL uptake Matrigel tube formation assay | VE-Cadherin+ cell sorting | Ikuno et al., |
| hiPSC | Direct Differentiation | VE-Cadherin, eNOS, vWF, NRP1, NRP2, Notch1, EphB4, DLL4 |
Matrigel tube formation assay Ac-LDL uptake Virus dependent immune response | CD31+ magnetic sorting | Olmer et al., |
| mESC | No mesoderm induction Vascular differentiation | VE-cadherin |
Matrigel tube formation assay Ac-LDL uptake | VEGFR2+ magnetic sorting | Dorsey et al., |
| hiPSC | Mesoderm induction BMP4 (10/50 ng/ml), FGF2 (20 ng/ml) | VEGFR2, CD31, VE-Cadherin, vWF |
Ac-LDL uptake Matrigel tube formation assay | CD31+ magnetic sorting | Rosa et al., |
hESC, human embryonic stem cells; hiPSC, human induced pluripotent stem cells; mESC, mouse embryonic stem cells; FBS, Fetal bovine serum; FCS, Fetal calf serum; hSCF, human stem cell factor; VTN, Vitronectin.
Effects of different biochemical and biophysical environmental factors on deriving arterial/venous subtypes from stem cell derived ECs.
| hMAPCshAC133+ | Arterial differentiation: |
Upregulation of arterial marker expression EphrinB2, Dll4, and Hey2 Downregulation of arterial marker expression EphrinB2, Dll4, and Hey2 |
Upregulation of venous marker expression EphB4 No change in venous marker expression | Aranguren et al., |
| hMSCs | Venous differentiation: |
Upregulation of arterial marker expression EphrinB2, Dll4, and Notch4 |
Upregulation of venous marker expression COUP-TFII and EphB4 | Zhang et al., |
| hiPSC-EC | Venous differentiation: |
Upregulation of EphrinB2, Notch1, DLL4, Jagged protein expression |
Upregulation of EphB4 and Coup TFII protein expression | Rufaihah et al., |
| hESC-EC | Venous differentiation: |
NRP1, CXCR4, DLL4 expression |
NRP2 and EphB4 expression | Sriram et al., |
| hESC-EC/ hiPSC-EC | Venous differentiation: |
Upregulation of EphrinB2, CXCR4, DLL4, HEY, Jagged, Notch1, and Notch4 gene expression NICD protein expression Ac-LDL uptake Alignment response to shear stress Improved cardiac function in myocardial infarction mouse model |
Upregulation of EphB4 and Coup TFII gene expression Higher leucocyte adhesion | Zhang et al., |
| hiPSC-ECs | Venous differentiation: |
Upregulation of arterial marker expression EphrinB2, Jagged1, Hey2 and Notch4 Higher NO production Low monocyte adhesion ability Higher elongation under shear stress |
Upregulation of venous marker expression COUP-TFII and EphB4 Lower NO production High monocyte adhesion ability | Rosa et al., |
| EPCs | Rotating disk type flow loading device 0.1–2.5 dyne/cm2 for 6 and 24 h |
Upregulation of Notch1, Notch3, Hey1, and EphrinB2 mRNA expression |
Downregulation of EphB4 and NRP2 mRNA expression | Obi et al., |
| mESC-EC | Parallel plate flow reactor 1.5–20 dyne/cm2 |
EphrinB2, Notch ligand, and receptors expression increases with increasing shear stress |
EphB4 expression reduces with increasing shear stress | Masumura et al., |
| hiPSC-EC | Bioreactor design |
Upregulation of arterial marker expression at both shear stresses |
Upregulation of venous marker expression at both shear stresses | Sivarapatna et al., |
| hESC-EC | Multiplex microfluidic device 0.4–15 dyne/cm2 |
Upregulation of Notch1 and EphrinB2 expression beyond ~4 dyne/cm2 |
No significant change in the expression of COUP-TFII and EphB4 | Arora et al., |
| mESC-EC | 1.5–2% levels |
Upregulation of Notch4, EphrinB2, Dll4, and Hey1 expression at low O2 levels |
No significant change in the expression of COUP-TFII and EphB4 | Lanner et al., |
| mESC-EC | Venous differentiation |
Upregulation of Dll4, Notch1, and EphrinB2 |
Upregulation of COUP-TFII | Tsang et al., |
| mEPCs | Venous differentiation: |
Upregulation of Notch1 and EphrinB2 |
Upregulation of EphB4 | Xue et al., |
| mESC-EC | Venous differentiation: |
Upregulation of Nrp1, Jag1, Dll4, Notch4, and EphrinB2 |
Upregulation of COUP-TFII and EphB4 | Dorsey et al., |
hESC, human embryonic stem cells; hiPSC, human induced pluripotent stem cells; mESC, mouse embryonic stem cells; 8Br-cAMP, 8-bromoadenosine 3':5'-cyclic monophosphate sodium salt; hMAPCs, human multipotent adult progenitor cells; hMSCs, human mesenchymal stem cells; BMP4, Bone morphogenetic protein; EPCs, Endothelial progenitor cells; mEPCs, mouse endothelial progenitor cells.
Effects of substrate topography on mature ECs and PSC-ECs phenotype and functions.
| HCAEC, dHCAEC | Multi-architectural (MARC) chip with 16 different patterns including gratings, micro-lenses, pillars and holes |
Enhanced angiogenic capability of HCAEC and reduced angiogenic capability of dHCAEC Reduced ox-LDL uptake of dHCAEC on topography Reduced immunogenicity of HCAEC on topography Enhanced NOS3 expression in dHCAEC Increased wound healing of dHCAEC on gratings | Cutiongco et al., |
| HUVEC | Multi-architectural (MARC) chip with 41 different patterns including gratings, micro-lenses, pillars, cones and bumps |
Effect on cellular proliferation and cell morphology on different patterns Reduced inflammatory response on micro-lenses | Kukumberg et al., |
| EA. hy926 (HUVEC cell line) | Pattern: Ridges and grooves |
Enhanced cellular alignment based on groove ridge axis Downregulation of inflammatory cytokines on patterned substrate | Jeon et al., |
| HUVEC | Pattern: Ridges and grooves |
Enhanced cellular alignment and adhesion Enhanced phosphorylation of focal adhesion kinase | Dreier et al., |
| HUVEC | Pattern: Micropillar |
Enhanced cell elongation and alignment | Dickinson et al., |
| HUVEC, HAEC | Porous randomly organized substrate mimicking the basement membrane architecture |
Reduced inflammatory action in presence of TNFα Increased migration rate of both the cells | McKee et al., |
| HAEC | Pattern: Ridge and Groove with varying pitches and Holes |
Enhanced cellular and nuclear alignment Topography dependent EC migration | Morgan et al., |
| HUVEC | Pitch: 400 nm |
Upregulation of protein modification genes and downregulates the cell cycle genes Tissue homeostasis | Gasiorowski et al., |
| mESC | Nano wrinkles and acetone etched surfaces |
Enhanced cellular alignment along the topography axis | Hatano et al., |
| iPSC-EC | Polycaprolactone-gelatin electro spun nanofiber scaffold |
Increased survival Increased angiogenesis (arteriole density) Increased VEGF expression of iPSC-ECs | Tan et al., |
| HMVEC/iPSC-EC | Aligned nanofibrillar collagen scaffold |
Cellular elongation on aligned scaffold Higher Integrin α1 expression in ECs on aligned scaffolds Enhanced angiogenesis potential Increased arteriogenesis with iPSC-EC seeded aligned nanofibrillar scaffold | Nakayama et al., |
| iPSC-EC | Polycaprolactone and Polyethylene oxide scaffolds: randomly oriented and aligned |
Higher vascular network like formation capability on aligned scaffold | Kim et al., |
HCAEC, human coronary artery endothelial cell; dHCAEC, diabetic human coronary artery endothelial cell; ox-LDL, oxidized low-density lipoprotein; NOS3, Nitric oxide synthase 3; HUVEC, human umbilical vein endothelial cell; TNFα, tumor necrosis factor α; HAEC, human aortic endothelial cell; HMVEC, human dermal microvascular endothelial cells.
Figure 2Environmental cues that have shown to influence the physiology of mature ECs or PSC-ECs in vitro (A) Biochemical factors, (B) Shear stress, (C) Substrate topography and stiffness, (D) Hypoxia, and (E) Cell-Cell and Cell ECM interactions.