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Modeling Synucleinopathy Using hESC-Derived Cerebral Organoids.
Animal and cellular models harboring SNCA gene mutations have been instrumental in synucleinopathy, but faithful human brain models remain limited. Here, we report the development of a human cerebral organoid (CO) model of synucleinopathy carrying the Ala53Thr mutation in SNCA (SNCAA53T). Using a human embryonic stem cell (hESC) line overexpressing SNCAA53T (A53T hESC line), we generated COs (A53T COs) that recapitulate hallmark features of synucleinopathy. These A53T COs exhibited elevated α-synuclein (α-Syn) expression, the increased phosphorylation of α-Syn, and Lewy body-like aggregations. Notably, we also observed the increased expression of phosphorylated tau and neurofibrillary tangle-like silver deposits, although amyloid β expression and accumulation remained unchanged. To evaluate the utility of this model in drug screening, we treated A53T COs with synuclean D (SynD), an inhibitor of α-Syn aggregation, which significantly reduced both α-Syn and tau phosphorylation without affecting total α-Syn levels. Together, our findings establish a robust hESC-derived synucleinopathy CO model harboring the SNCAA53T mutation, demonstrating its potential as a valuable tool for therapeutic drug screening.
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The future of tumor organoids in precision therapy.
Tumoroids are cultures of patient-derived tumor cells, which are grown in 3D in the presence of an extracellular matrix extract and specific growth factors. Tumoroids can be generated from adult as well as pediatric cancers, including epithelial cancers, sarcomas, and brain cancers. Tumoroids retain multi-omic characteristics of their corresponding tumor and recapitulate interpatient and intratumor heterogeneity. Retrospective and prospective studies have demonstrated that tumoroids predict patient responses to anticancer therapies, making them a promising tool for precision oncology. However, several challenges remain before tumoroids can be fully integrated into clinical decision-making, including success rates of tumoroid establishment and turnaround times. This review discusses the current advances, challenges, and future directions of tumoroid-based models in cancer research and precision therapy.
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Downregulation of PMP22 ameliorates myelin defects in iPSC-derived human organoid cultures of CMT1A.
Charcot-Marie-Tooth disease is the most common inherited disorder of the PNS. CMT1A accounts for 40-50% of all cases and is caused by a duplication of the PMP22 gene on chromosome 17, leading to dysmyelination in the PNS. Patient-derived models to study such myelination defects are lacking as the in vitro generation of human myelinating Schwann cells has proved to be particularly challenging. Here, we present an induced pluripotent stem cell-derived organoid culture, containing various cell types of the PNS, including myelinating human Schwann cells, which mimics the human PNS. Single-cell analysis confirmed the PNS-like cellular composition and provides insight into the developmental trajectory. We used this organoid model to study disease signatures of CMT1A, revealing early ultrastructural myelin alterations, including increased myelin periodic line distance and hypermyelination of small axons. Furthermore, we observed the presence of onion-bulb-like formations in a later developmental stage. These hallmarks were not present in the CMT1A-corrected isogenic line or in a CMT2A iPSC line, supporting the notion that these alterations are specific to CMT1A. Downregulation of PMP22 expression using short-hairpin RNAs or a combinatorial drug consisting of baclofen, naltrexone hydrochloride and D-sorbitol was able to ameliorate the myelin defects in CMT1A-organoids. In summary, this self-organizing organoid model can capture biologically meaningful features of the disease and capture the physiological complexity, forms an excellent model for studying demyelinating diseases and supports the therapeutic approach of reducing PMP22 expression.
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A microscale 3D organ on a chip for recapitulating reciprocal neuroendocrine crosstalk between the hypothalamus and the pituitary gland.
Conventional 2D or even recently developed 3Din vitroculture models for hypothalamus and pituitary gland cannot successfully recapitulate reciprocal neuroendocrine communications between these two pivotal neuroendocrine tissues known to play an essential role in controlling the body's endocrine system, survival, and reproduction. In addition, most currentvitroculture models for neuroendocrine tissues fail to properly reflect their complex multicellular structure. In this context, we developed a novel microscale chip platform, termed the 'hypothalamic-pituitary (HP) axis-on-a-chip,' which integrates various cellular components of the hypothalamus and pituitary gland with biomaterials such as collagen and hyaluronic acid. We used non-toxic blood coagulation factors (fibrinogen and thrombin) as natural cross-linking agents to increase the mechanical strength of biomaterials without showing residual toxicity to overcome drawbacks of conventional chemical cross-linking agents. Furthermore, we identified and verified SERPINB2 as a reliable neuroendocrine toxic marker, with its expression significantly increased in both hypothalamus and pituitary gland cells following exposure to various types of toxins. Next, we introduced SERPINB2-fluorescence reporter system into loaded hypothalamic cells and pituitary gland cells within each chamber of the HP axis on a chip, respectively. By incorporating this SERPINB2 detection system into the loaded hypothalamic and pituitary gland cells within our chip platform, Our HP axis-on-chip platform can better mimic reciprocal neuroendocrine crosstalk between the hypothalamus and the pituitary gland in the brain microenvironments with improved efficiency in evaluating neuroendocrine toxicities of certain drug candidates.
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Establishing 3D organoid models from patient-derived conditionally reprogrammed cells to bridge preclinical and clinical insights in pancreatic cancer.
BACKGROUND: Pancreatic cancer is a highly lethal malignancy with limited treatment response. Despite advancements in treatment, systemic chemotherapy remains the primary therapeutic approach for over 80% of patients, with no established biomarkers to guide drug selection. Traditional two-dimensional (2D) culture models fail to replicate the tumor microenvironment, necessitating the development of more advanced models, such as three-dimensional (3D) organoid models. METHODS: We established 3D organoid cultures using patient-derived conditionally reprogrammed cell (CRC) lines, originally cultured under 2D conditions. These CRC organoids were developed using a Matrigel-based platform without organoid-specific medium components to preserve the intrinsic molecular subtypes of the cells. Morphological, molecular, and drug sensitivity analyses were performed to compare the clinical responses of 3D CRC organoids with those of their 2D counterparts and clinical responses. RESULTS: The 3D CRC organoids retained the molecular characteristics, transcriptomic and mutational profiles of the parental tumors and displayed distinct morphologies corresponding to cancer stages and differentiation. Drug response profiling of gemcitabine plus nab-paclitaxel (Abraxane) and FOLFIRINOX demonstrated that the 3D organoids more accurately mirrored patient clinical responses than the 2D cultures. Notably, the IC50 values for the 3D organoids were generally higher, reflecting the structural complexity and drug penetration barriers observed in vivo. CONCLUSION: Matrigel-based 3D organoid culture models provide a robust platform for pre-clinical drug evaluation, overcoming the limitations of 2D models. Although time- and resource-intensive, integrating both 2D and 3D platforms enables efficient initial screening and validation. This approach holds promise for identifying predictive biomarkers and advancing precision medicine in pancreatic cancer treatment.
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Organoids in Genetic Disorders: from Disease Modeling to Translational Applications.
The emergence of organoid models has significantly bridged the gap between traditional cell cultures/animal models and authentic human disease states, particularly for genetic disorders, where their inherent genetic fidelity enables more biologically relevant research directions and enhances translational validity. This review systematically analyzes established organoid models of genetic diseases across organs (e.g., brain, eye, kidney, lung, and heart), highlighting their pivotal roles in identifying novel pathogenic genes, elucidating disease mechanisms, and advancing therapeutic strategies such as drug screening platforms, gene-editing therapies, and organ transplantation strategies. Furthermore, we critically address current limitations-including challenges in recapitulating complex pathologies and scaling production-while underscoring their potential for personalized medicine through multi-omics integration and bioengineering innovations. Although the scope of "genetic diseases" is broad, this synthesis focuses on disorders with well-defined inheritance patterns, such as monogenic disorders, copy number variations (CNVs), and aneuploidies. Despite covering only a subset of these conditions, this review aims to provide researchers with a comprehensive overview of the field, emphasizing how organoid-based approaches could accelerate both mechanistic discoveries and clinical translation in genetic disease research.
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Extracellular Matrix-Based Hydrogels to Tailoring Tumor Organoids.
When embedded into a three-dimensional (3D) matrix, cancer stem cells (or cancer-initiating cells) can grow into self-organizing organotypic structures called tumor organoids. During organoid formation, the matrix not only provides structural support but also delivers biochemical signals. Although increasing evidence indicates that the extracellular matrix (ECM) is an essential component of the tumor microenvironment during tumor development and progression, the influence of the ECM on organoid formation has been largely ignored; the ECM has only recently been recognized to play a role in the regulation of cancer cell phenotypes. We reviewed ECM-based hydrogels to tailoring tumor organoids and highlight the potential role of the ECM in the development of recapitulating malignant/invasive tumor organoids with enhanced capacity for in vitro representation of ECM-regulated tumor progression.
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Central nervous system vascularization in human embryos and neural organoids.
In recent years, neural organoids derived from human pluripotent stem cells (hPSCs) have offered a transformative pre-clinical platform for understanding central nervous system (CNS) development, disease, drug effects, and toxicology. CNS vasculature plays an important role in all these scenarios; however, most published studies describe CNS organoids that lack a functional vasculature or demonstrate rudimentary incorporation of endothelial cells or blood vessel networks. Here, we review the existing knowledge of vascularization during the development of different CNS regions, including the brain, spinal cord, and retina, and compare it to vascularized CNS organoid models. We highlight several areas of contrast where further bioengineering innovation is needed and discuss potential applications of vascularized neural organoids in modeling human CNS development, physiology, and disease.
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Microengineered Multi-Organoid System from hiPSCs to Recapitulate Human Liver-Islet Axis in Normal and Type 2 Diabetes.
Type 2 diabetes mellitus (T2DM) is a systematic multi-organ metabolic disease, which is characterized by the dynamic interplay among different organs. The increasing incidence of T2DM reflects an urgent need for the development of in vitro human-relevant models for disease study and drug therapy. Here, a new microfluidic multi-organoid system is developed that recapitulates the human liver-pancreatic islet axis in normal and disease states. The system contains two compartmentalized regions connected by a microchannel network, enabling 3D co-culture of human induced pluripotent stem cells (hiPSC)-derived liver and islet organoids for up to 30 days under circulatory perfusion conditions. The co-cultured liver and islet organoids exhibit favorable growth and improved tissue-specific functions. Transcriptional analyses reveal the activation of metabolically relevant signaling pathways in the co-cultured organoids. Notably, the co-culture system facilitates sensitive glucose-stimulated insulin secretion from islet organoids and increased glucose utilization in liver organoids by glucose tolerance tests. Both liver and islet organoids display mitochondrial dysfunction and decreased glucose transport capacity under high glucose conditions, which can be alleviated by metformin treatment. This novel multi-organoid system can recapitulate human-relevant liver-islet axis under both physiological and pathological conditions, providing a unique platform for future T2DM research and drug development.
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Current strategies using 3D organoids to establish in vitro maternal-embryonic interaction.
IMPORTANCE: The creation of robust maternal-embryonic interactions and implantation models is important for comprehending the early stages of embryonic development and reproductive disorders. Traditional two-dimensional (2D) cell culture systems often fail to accurately mimic the highly complex in vivo conditions. The employment of three-dimensional (3D) organoids has emerged as a promising strategy to overcome these limitations in recent years. The advancements in the field of organoid technology have opened new avenues for studying the physiology and diseases affecting female reproductive tract. OBSERVATIONS: This review summarizes the current strategies and advancements in the field of 3D organoids to establish maternal-embryonic interaction and implantation models for use in research and personalized medicine in assisted reproductive technology. The concepts of endometrial organoids, menstrual blood flow organoids, placental trophoblast organoids, stem cell-derived blastoids, and in vitro-generated embryo models are discussed in detail. We show the incorportaion of organoid systems and microfluidic technology to enhance tissue performance and precise management of the cellular surroundings. CONCLUSIONS AND RELEVANCE: This review provides insights into the future direction of modeling maternal-embryonic interaction research and its combination with other powerful technologies to interfere with this dialogue either by promoting or hindering it for improving fertility or methods for contraception, respectively. The merging of organoid systems with microfluidics facilitates the creation of sophisticated and functional organoid models, enhancing insights into organ development, disease mechanisms, and personalized medical investigations.