Advanced Glycation End Products (AGEs) are reactive compounds formed through the non-enzymatic glycation of proteins, lipids, or nucleic acids due to exposure to reducing sugars. They accumulate through endogenous metabolic dysregulation and exogenous dietary intake, particularly high-fat and high-sugar foods prepared at high temperatures. The interaction between AGEs and their receptor, RAGE (receptor for Advanced Glycation End Products), has been implicated in a range of pathological conditions, including diabetes and metabolic syndrome. However, the impact of AGEs accumulation on neurodevelopment remains poorly understood. In this study, we investigated the effects of AGEs on human-induced pluripotent stem cell (iPSC)-derived cerebral organoids comprising neurons, astrocytes, and microglia. Our findings reveal that AGEs induce RAGE expression, leading to microglial activation, increased deposition of amyloid-beta (Aβ) aggregates, and impaired neurodevelopment. Additionally, elevated levels of AGE-modified proteins, along with altered microglial polarization, were observed in cerebral organoids modeling Western Pacific Amyotrophic Lateral Sclerosis and Parkinsonism–Dementia Complex (ALS-PDC). These findings demonstrate AGEs as active drivers of neurodevelopmental disruption and establish a mechanistic link between metabolic stress and increased susceptibility to neurodegenerative disease.

The tendon-to-bone enthesis is a multiphasic structure with four structurally continuous and compositionally distinct regions: tendon, uncalcified fibrocartilage, calcified fibrocartilage and bone. Our study aimed to develop 3D scaffold-free in vitro spheroids and macro-tissues of the enthesis for applications as experimental tools to understand the development and repair of enthesis injury. This study hypothesises that integrating tendon and bone cell spheroids with bone marrow mesenchymal stem cell spheroids will facilitate the production of a fibrocartilaginous interface. 3D Spheroids: The biphasic (tendon–bone) and triphasic co-culture (tendon–stem cell–bone) of spheroids in growth media and chondrogenic media were investigated to establish fusion kinetics, and the cellular and ECM components produced via histology and immunohistochemistry. Complete fusion between spheroids occurred within 6-to-8 days in biphasic co-culture, and 15-to-20 days in triphasic co-culture. Compared to biphasic, the triphasic co-culture in chondrogenic media showed a continuous interface connecting the tendon and bone regions. The presence of collagen I, sulphated proteoglycans and collagen type II in the interface region of triphasic co-culture indicates fibrochondrogenic differentiation. 3D macro-tissues: The modular tissue engineering strategy was used in this study to produce enthesis macro-tissues using spheroids as building blocks. Spheroids were bio-assembled in the triphasic manner (12 tendon spheroids, 12 stem cell spheroids and 8 bone spheroids) in the custom-designed and 3D-printed temporary supports (Formlabs Clear Resin®) using a customised spheroid bio-assembly system. The fusion of spheroids occurred by day 8 after bio-assembly, and they were removed from temporary supports and cultured in scaffold-free conditions. Although the bio-assembly methodology was successful in producing fused scaffold-free macro-tissues, the histological analysis revealed the presence of an extensive necrotic core due to the large-sized constructs. To conclude, the findings support the hypothesis that a triphasic co-culture has the potential to produce a structurally continuous fibrocartilaginous interface but requires further optimisation to produce macro-tissues with anatomical morphologies and reduced necrotic cores.

Precise control and measurement of the cellular microenvironment, particularly oxygen concentration, are crucial for developing physiologically relevant in vitro models. However, current methods often lack the spatial resolution and throughput needed to investigate complex, oxygen-dependent biological mechanisms in 3D cell cultures. Here, we present an advanced platform based on microcavity arrays featuring integrated, ratiometric oxygen sensors, so-called SensoSpheres. A unique bevel design at the cavity entrance enables the non-invasive, real-time measurement of pericellular oxygen concentration and oxygen gradients. We established protocols for generating spheroids from various cell lines (e.g., HepG2, HeLa) and characterized their metabolic responses under precisely controlled hypoxic, normoxic, and hyperoxic conditions. Using a dose–response assay, we demonstrate the platform’s sensitivity in capturing distinct metabolic shifts in response to acetaminophen and cisplatin. Furthermore, we introduce the Oxygen Consumption Recovery Rate (OCRR) as a novel parameter to quantify cellular resilience after exposure to toxic compounds such as cisplatin and acetaminophen. This high-throughput-compatible platform represents a significant methodological advancement, enabling detailed studies of oxygen-dependent cellular processes, drug toxicity, and metabolic adaptation. Its potential for integration into microfluidic systems paves the way for more sophisticated organ-on-chip models, ultimately improving the predictive power of preclinical research.

Breast cancer progression and treatment responsiveness are significantly influenced by the tumor microenvironment. Therefore, transplantation into the mammary fat pad is widely employed to establish a mouse xenograft model of breast cancer. This study reports chimeric organoids derived from breast cancer xenografts composed of human and mouse cells. During passaging of an organoid line derived from breast cancer xenografts, characteristic cell clusters composed of smaller cells were observed. Immunostaining with a mouse-specific antibody revealed that the smaller cells were mouse cells composed of luminal- and basal-like cells. Chimeric organoids were observed in four of the six xenograft-derived organoid lines. Organoids composed solely of human cells rapidly diminished after passaging, with chimeric and mouse-cell-only organoids becoming predominant. When human breast cancer cells were co-cultured with mouse mammary epithelial cells, chimeras were frequently observed. The PCNA positivity rate in breast cancer cells within chimeras was higher than that in breast cancer cells within organoids composed solely of human cells. These findings indicate that xenograft-derived breast cancer organoids frequently contain mouse cells and that mouse mammary epithelial cells promote the proliferation of human breast cancer cells.

Hepatoblastoma (HB) is a paediatric liver malignancy arising from hepatic precursor cells, with >90% of cases harbouring a mutation in exon 3 of CTNNB1. We present a fully genetically characterised HB tumour organoid (tumoroid) biobank, which allows for in vitro studies of disease progression and clonal dynamics in vitro. We established a biobank of 14 tumoroid lines from 9 different patients. Tumours and tumoroids were characterised by whole genome sequencing (WGS) and histology, revealing strong concordance in cell morphology and β-catenin staining. In tumour—tumoroid pairs, identical pathogenic CTNNB1 variants were found, alongside shared copy number alterations (CNAs) and mutations. Variant allele frequency (VAF) was consistently higher in tumoroids, indicating increased tumour purity in vitro. In addition to CTNNB1, we frequently observed ARID1A alterations (single-nucleotide variants [SNVs] or CNAs in 56% of patients), and MYC gains as described previously. In paired pre- and post-treatment samples, we observed a clear increase in mutational load, attributed to a chemotherapy signature. Notably, from one patient, we analysed 4 tumour samples (3 post-treatment) with 4 matching tumoroid lines, all carrying a novel BCL6 mutation and loss of ARID1A. Mutational profiles varied across samples from different locations, suggesting intratumoral heterogeneity and clonal selection during tumoroid derivation. Taken together, this biobank allows detailed analysis of HB tumour biology, including treatment-induced progression and clonal dynamics across temporally and spatially distinct samples.

Human umbilical cord-derived mesenchymal stem cells (hUC-MSCs) possess the potential for chondrogenic differentiation, offering a promising alternative source for cartilage regeneration. To address the limited availability and expansion capacity of autologous chondrocytes, we investigated the effect of co-overexpression of Sox9, TGFβ1, and type II collagen (Col II) on the chondrogenic differentiation of hUC-MSCs using both 2D and 3D pellet culture systems. Following transfection, the cells exhibited a chondrocyte-like morphology and a marked downregulation of the stemness marker Stro-1. After 21 days in a 3D pellet culture system, the cells formed cartilage-like tissue characterized by the strong expression of chondrocyte-specific genes (Sox9, TGFβ1, Col II, Aggrecan) along with the significant secretion of sulfated glycosaminoglycans (sGaGs). These effects were attributed to enhanced cell–cell contact and extracellular matrix interactions promoted by the 3D environment. Our findings suggest that genetically modified hUC-MSCs cultured in a 3D pellet system represent a robust in vitro model for cartilage regeneration, with potential applications in transplantation and drug toxicity screening.

Organoids consisting of primary human cells, i.e., astrocytes, pericytes, and endothelial cells, form a functional blood–brain barrier (BBB) in vitro. The ability of FITC-dextran (70 kDa), calcium phosphate nanoparticles (100 nm), Escherichia coli bacteria (2 µm), and MS2 coliphages (27 nm, a model for viruses) to penetrate the BBB under normoxic and hypoxic conditions (2.5% oxygen) for up to 12 days was assessed by fluorescence microscopy and confocal laser scanning microscopy. All agents were fluorescently labeled to trace them inside the organoids. Under normoxia, FITC-dextran, calcium phosphate nanoparticles, E. coli bacteria and MS2 coliphages did not penetrate the BBB. However, oxygen deficiency (hypoxia) triggered the penetration of the BBB by FITC-dextran and E. coli cells. This was underscored by a strong hypoxic center inside the organoids that developed in the presence of E. coli bacteria.

Over the past decade, organoids representing a wide range of tissues have been developed, with increasing efforts to enhance their complexity, maturity, and resemblance to the corresponding native organs [...]

Three-dimensional cell model systems such as tumour organoids allow for in vitro modelling of self-organized tissue with functional and histologic similarity to in vivo tissue. However, there is a need for standard protocols and techniques to confirm the presence of cancer within organoids derived from tumour tissue. The aim of this study was to assess the utility of a Nanostring gene expression-based machine learning classifier to determine the presence of cancer or normal organoids in cultures developed from both benign and cancerous stomach biopsies. A prospective cohort of normal and cancer stomach biopsies were collected from 2019 to 2022. Tissue specimens were processed for formalin-fixed paraffin-embedding (FFPE) and a subset of specimens were established in organoid cultures. Specimens were labelled as normal or cancer according to analysis of the FFPE tissue by two pathologists. The gene expression in FFPE and organoid tissue was measured using a 107 gene Nanostring codeset and normalized using the Removal of Unwanted Variation III algorithm. Our machine learning model was developed using five-fold nested cross-validation to classify normal or cancer gastric tissue from publicly available Asian Cancer Research Group (ACRG) gene expression data. The models were externally validated using the Cancer Genome Atlas (TCGA), as well as our own FFPE and organoid gene expression data. A total of 60 samples were collected, including 38 cancer FFPE specimens, 5 normal FFPE specimens, 12 cancer organoids, and 5 normal organoids. The optimal model design used a Least Absolute Shrinkage and Selection Operator model for feature selection and an ElasticNet model for classification, yielding area under the curve (AUC) values of 0.99 [95% CI: 0.99–1], 0.90 [95% CI: 0.87–0.93], and 0.79 [95% CI: 0.74–0.84] for ACRG (internal test), FFPE, and organoid (external test) data, respectively. The performance of our final model on external data achieved AUC values of 0.99 [95% CI: 0.98–1], 0.94 [95% CI: 0.86–1], and 0.85 [95% CI: 0.63–1] for TCGA, FFPE, and organoid specimens, respectively. Using a public database to create a machine learning model in combination with a Nanostring gene expression assay allows us to allocate organoids and their paired whole tissue samples. This platform yielded reasonable accuracy for FFPE and organoid specimens, with the former being more accurate. This study re-affirms that although organoids are a high-fidelity model, there are still limitations in validating the recapitulation of cancer in vitro.

Ensuring access to safe drinking water is a fundamental public health priority, yet the growing diversity of contaminants demands more human-relevant toxicity assessment frameworks. Conventional models based on immortalized cell lines or sentinel species, while informative, lack the tissue complexity and inter-individual variability required to capture realistic human responses. Organoids, three-dimensional epithelial structures derived from adult or pluripotent stem cells, retain the genomic, histological, and functional characteristics of their original tissue, enabling assessment of contaminant-induced toxicity, short-term peak exposures, and inter-donor variability within a single system. This study examined whether current international drinking water guidelines remain protective or if recent organoid-based findings reveal toxicity at differing concentrations. Comparative synthesis indicates that per- and polyfluoroalkyl substances (PFAS) often display organoid toxicity at concentrations above current thresholds, suggesting conservative guidelines, whereas most metals are properly regulated. However, some metals exhibit toxicity at concentrations that include levels below guideline values, highlighting the need for further investigation. Emerging contaminants, including pesticides, nanoparticles, microplastics, and endocrine disruptors, induce adverse effects at environmentally relevant concentrations, despite limited or absent regulatory limits. Integrating organoid-based toxicology with high-frequency monitoring and dynamic exposure modeling could refine water quality guidelines and support adaptive regulatory frameworks that better reflect real-world exposure patterns and human diversity.