Biology subjects

Kiener, M.

Publications and source records attributed to Kiener, M..

3 recordsLinked to original sources

bioRxiv2025

A Human Alveolus-on-Chip Recapitulates SARS-CoV-2-mediated Lung Injury in an Organ-relevant Context for Pre-clinical Applications

Respiratory viruses pose a constant threat to public health as highlighted by the pandemic outbreak of COVID-19. The most severe manifestation of COVID-19 is observed in the distal lung, where SARS-CoV-2 infection can result in massive inflammation and barrier breakdown. To date, few therapies are approved for clinical use in COVID-19 patients partially due to the lack of highly translational pre-clinical models of the alveoli. Human-derived microphysiological systems pose a promising new class of in vitro models to study viral infection in a relevant context. Therefore, we aimed to develop a Lung-on-Chip (LOC) model for studying SARS-CoV-2 infection at the alveolar barrier. Using an immortalized alveolar epithelial cell line, AXiAEC, and human lung microvascular endothelial cells (hLMVEC) we established a SARS-CoV-2 infection model on a LOC system. The LOC models the alveolar epithelial/endothelial barrier under physiological breathing motion. Our results demonstrated that AXiAEC maturation at the air-liquid interface (ALI) is essential for SARS-CoV-2 infection. SARS-CoV-2 infected the breathing LOC model and induced breakdown of the air-blood barrier. Finally, we evaluated the application of the LOC SARS-CoV-2 infection model for efficacy testing and demonstrated the antiviral effect of remdesivir. Drug treatment not only inhibited viral replication but also protected the alveolar barrier from damage and partially reverted SARS-CoV-2-mediated transcriptional dysregulation in AXiAEC. This novel LOC infection model recapitulates aspects of COVID-19. Our results highlight the importance of physiological cues such as ALI and stretch to accurately model host-pathogen interactions in the distal lung. Application of LOC models in pre-clinical drug testing may facilitate candidate compound selection at an early stage, allowing the allocation of resources to a few promising candidate compounds raising the potential to accelerate drug development and reduce costs and animal testing.

cell biology↗

bioRxiv2022

Bladder cancer organoids as a functional system to model different disease stages and therapy response

Bladder Cancer (BLCa) inter-patient heterogeneity is considered the primary cause of tumor reoccurrence and treatment failure, suggesting that BLCa patients could benefit from a more personalized treatment approach. Patient-derived organoids (PDOs) have been successfully used as a functional model for predicting drug response in different cancer types. In our study, we established BLCa PDO cultures from different BLCa stages. BLCa PDOs preserve the histological and molecular heterogeneity of the parental tumors, including their multiclonal genetic landscapes. BLCa PDOs consistently share key genetic alterations detected in parental tumors, mirroring tumor evolution in longitudinal sampling. Our drug screening pipeline was implemented using BLCa PDOs, testing both standard-of-care and additional FDA-approved compounds for other solid tumors. Integrative analysis of drug response profiles with matched PDO genomic analysis was used to determine enrichment thresholds for candidate markers of therapy resistance and sensitivity. By assessing the clinical history of longitudinally sampled cases, the clonal evolution of the disease could be determined and matched with drug response profiles. In conclusion, we have developed a clinically relevant pipeline for drug response profile assessment and discovery of candidate markers of therapy resistance.

cancer biology↗

bioRxiv2020

Patient-derived xenografts and organoids model therapy response in prostate cancer

Therapy resistance and metastatic processes in prostate cancer (PCa) remain undefined, due to lack of experimental models that mimic different disease stages. We describe a novel androgen-dependent PCa patient-derived xenograft (PDX) model from treatment-naive, soft tissue metastasis (PNPCa). RNA and whole-exome sequencing of the PDX tissue and organoids confirmed transcriptomic and genomic similarity to primary tumor. PNPCa harbours BRCA2 and CHD1 somatic mutations, shows an SPOP/FOXA1-like transcriptomic signature and microsatellite instability, which occurs in 3% of advanced PCa and has never been modelled in vivo. Comparison of the treatment-naive PNPCa with additional metastatic PDXs (BM18, LAPC9), in a medium-throughput organoid screen of FDA-approved compounds, revealed differential drug sensitivities. Multikinase inhibitors (ponatinib, sunitinib, sorafenib) were broadly effective on all PDX- and patient-derived organoids from advanced cases with acquired resistance to standard-of-care compounds. This proof-of-principle study may provide a preclinical tool to screen drug responses to standard-of-care and newly identified, repurposed compounds.

cancer biology↗