Pluripotent Stem Cells in Clinical Cell Transplantation: Focusing on Induced Pluripotent Stem Cell-Derived RPE Cell Therapy in Age-Related Macular Degeneration

Yang, Yi‐Ping; Hsiao, Yu‐Jer; Chang, Kao-Jung; Foustine, Shania; Ko, Yu-Ling; Tsai, Yi-Ching; Tai, Hung-Chi; Ko, Yu Chieh; Chiou, Shih‐Hwa; Lin, Tai‐Chi; Chen, Shih‐Jen; Chien, Yueh; Hwang, De‐Kuang

doi:10.3390/ijms232213794

Cited by 7 publications

(7 citation statements)

References 60 publications

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“…We found that flavonoid glycoside can significantly reduce the number of retinal leakage, improve the retinal thickness and increase the retinal A wave and B wave. These results indicate that flavonoid glycoside have a very significant effect on the recovery of retinal injury [26][27][28][29][30] .…”

Section: Resultsmentioning

confidence: 62%

Effects of Flavonoid Glycoside on Mitochondrial Dysfunction and Inflammatory Oxidative Stress in Macular Degeneration

Jiang¹

2022

IJPS

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This study aimed to investigate the effects of flavonoid glycoside on mitochondrial dysfunction and inflammatory oxidative stress in macular degeneration. Sixty specific-pathogen-free male Bagg and Albino mice were randomly divided into control, model and flavonoid glycoside. Human retinal pigment epithelium cells ARPE-19 were cultured and treated with dimethyl sulfoxide, sodium iodate and flavonoid glycoside respectively. Fundus fluorescein angiography was used to detect the number of mouse retinal leakage; optical coherence tomography retinal thickness. A wave and B wave were detected by electroretinogram. Hematoxylin and eosin staining was used to observe the morphology of mouse retina; phalloidin, translocase of the outer mitochondrial membrane complex subunit 20 and cyclooxygenase III staining were performed on mouse retinal pigment epithelium cells by immunofluorescence. Adenosine triphosphate content in retinal pigment epithelium cells of mice in each group was detected. Compared with the control mice, the number of retinal leakage points in the model increased, the retinal thickness, A wave and B wave decreased, and the levels of Fas and FasL protein increased significantly. After treatment with flavonoid glycoside, the number of retinal leakage decreased the retinal thickness, A wave and B wave increased, and the levels of Fas and FasL protein decreased significantly. Flavonoid glycoside can significantly improve the mitochondrial dysfunction and inflammatory oxidative stress of retinal pigment epithelium cells and play a good role in protecting macular degeneration.

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Section: Resultsmentioning

confidence: 62%

Effects of Flavonoid Glycoside on Mitochondrial Dysfunction and Inflammatory Oxidative Stress in Macular Degeneration

Jiang¹

2022

IJPS

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“…On the other hand, can be individually separated manually, however, it requires significant manpower [9,10]. The optic nerve is well known not to regenerate, and the repair of damaged optic nerves using iPSC-RGCs remains a hurdle in clinical transplantation [49].…”

Section: Discussionmentioning

confidence: 99%

Recognizing the Differentiation Degree of Human Induced Pluripotent Stem Cell-Derived Retinal Pigment Epithelium Cells Using Machine Learning and Deep Learning-Based Approaches

Lien

Chen

Tsai

et al. 2023

Cells

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Induced pluripotent stem cells (iPSCs) can be differentiated into mesenchymal stem cells (iPSC-MSCs), retinal ganglion cells (iPSC-RGCs), and retinal pigmental epithelium cells (iPSC-RPEs) to meet the demand of regeneration medicine. Since the production of iPSCs and iPSC-derived cell lineages generally requires massive and time-consuming laboratory work, artificial intelligence (AI)-assisted approach that can facilitate the cell classification and recognize the cell differentiation degree is of critical demand. In this study, we propose the multi-slice tensor model, a modified convolutional neural network (CNN) designed to classify iPSC-derived cells and evaluate the differentiation efficiency of iPSC-RPEs. We removed the fully connected layers and projected the features using principle component analysis (PCA), and subsequently classified iPSC-RPEs according to various differentiation degree. With the assistance of the support vector machine (SVM), this model further showed capabilities to classify iPSCs, iPSC-MSCs, iPSC-RPEs, and iPSC-RGCs with an accuracy of 97.8%. In addition, the proposed model accurately recognized the differentiation of iPSC-RPEs and showed the potential to identify the candidate cells with ideal features and simultaneously exclude cells with immature/abnormal phenotypes. This rapid screening/classification system may facilitate the translation of iPSC-based technologies into clinical uses, such as cell transplantation therapy.

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“…iPSCs are generated by reprogramming adult somatic cells to a pluripotent state, circumventing the ethical concerns associated with ESCs ( Figure 1 ) [ 94 ]. As with ESCs, iPSCs have the ability to differentiate into various cell types and have shown promise in preclinical studies for SCI treatment [ 95 , 96 ]. iPSC-derived neural cells have been used to replace lost neurons, promote axonal regeneration, and provide neurotrophic support, contributing to functional recovery in animal models of SCI [ 97 , 98 ].…”

Section: The Potential Of Different Stem Cell Typesmentioning

confidence: 99%

Advancing Spinal Cord Injury Treatment through Stem Cell Therapy: A Comprehensive Review of Cell Types, Challenges, and Emerging Technologies in Regenerative Medicine

Zeng

2023

IJMS

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Spinal cord injuries (SCIs) can lead to significant neurological deficits and lifelong disability, with far-reaching physical, psychological, and economic consequences for affected individuals and their families. Current treatments for SCIs are limited in their ability to restore function, and there is a pressing need for innovative therapeutic approaches. Stem cell therapy has emerged as a promising strategy to promote the regeneration and repair of damaged neural tissue following SCIs. This review article comprehensively discusses the potential of different stem cell types, such as embryonic stem cells (ESCs), induced pluripotent stem cells (iPSCs), mesenchymal stem cells (MSCs), and neural stem/progenitor cells (NSPCs), in SCI treatment. We provide an in-depth analysis of the unique advantages and challenges associated with each stem cell type, as well as the latest advancements in the field. Furthermore, we address the critical challenges faced in stem cell therapy for SCIs, including safety concerns, ethical considerations, standardization of protocols, optimization of transplantation parameters, and the development of effective outcome measures. We also discuss the integration of novel technologies such as gene editing, biomaterials, and tissue engineering to enhance the therapeutic potential of stem cells. The article concludes by emphasizing the importance of collaborative efforts among various stakeholders in the scientific community, including researchers, clinicians, bioengineers, industry partners, and patients, to overcome these challenges and realize the full potential of stem cell therapy for SCI patients. By fostering such collaborations and advancing our understanding of stem cell biology and regenerative medicine, we can pave the way for the development of groundbreaking therapies that improve the lives of those affected by SCIs.

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Pluripotent Stem Cells in Clinical Cell Transplantation: Focusing on Induced Pluripotent Stem Cell-Derived RPE Cell Therapy in Age-Related Macular Degeneration

Cited by 7 publications

References 60 publications

Effects of Flavonoid Glycoside on Mitochondrial Dysfunction and Inflammatory Oxidative Stress in Macular Degeneration

Effects of Flavonoid Glycoside on Mitochondrial Dysfunction and Inflammatory Oxidative Stress in Macular Degeneration

Recognizing the Differentiation Degree of Human Induced Pluripotent Stem Cell-Derived Retinal Pigment Epithelium Cells Using Machine Learning and Deep Learning-Based Approaches

Advancing Spinal Cord Injury Treatment through Stem Cell Therapy: A Comprehensive Review of Cell Types, Challenges, and Emerging Technologies in Regenerative Medicine

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