4 research outputs found
MicroRNA Levels as Prognostic Markers for the Differentiation Potential of Human Mesenchymal Stromal Cell Donors
The ability of human mesenchymal stromal/stem cells (hMSCs) to differentiate into various mesenchymal cell lineages makes them a promising cell source for the use in tissue repair strategies. Because the differentiation potential of hMSCs differs between donors, it is necessary to establish biomarkers for the identification of donors with high differentiation potential. Here, we show that microRNA (miRNA) expression levels are effective for distinguishing donors with high differentiation potential from low differentiation potential. Twenty human MSC donors were initially tested for marker expression and differentiation potential. In particular, chondrogenic differentiation potential was evaluated on the basis of histological matrix formation, mRNA expression levels of chondrogenic marker genes, and quantitative glycosaminoglycan deposition. Three donors out of twenty were identified as donors with high chondrogenic potential, whereas nine showed moderate and eight low chondrogenic potential. Expression profiles of miRNAs involved in chondrogenesis and cartilage homeostasis were used for the distinction between high-performance hMSCs and low-performance hMSCs. Global mRNA expression profiles of the donors before the onset of chondrogenic differentiation revealed minor differences in gene expression between low and high chondrogenic performers. However, analysis of miRNA expression during a seven-day differentiation period identified miR-210 and miR-630 as positive regulators of chondrogenesis. In contrast, miR-181 and miR-34a, which are negative regulators of chondrogenesis, were upregulated during differentiation in low performing donors. In conclusion, profiling of hMSC donors for a specific panel of miRNAs may have prognostic value for selecting donors with high differentiation potential to improve hMSC-based strategies for tissue regeneration
Dynamic adaptation of mesenchymal stem cell physiology upon exposure to surface micropatterns
Human mesenchymal stem (hMSCs) are defined as multi-potent colony-forming cells expressing a specific subset of plasma membrane markers when grown on flat tissue culture polystyrene. However, as soon as hMSCs are used for transplantation, they are exposed to a 3D environment, which can strongly impact cell physiology and influence proliferation, differentiation and metabolism. Strategies to control in vivo hMSC behavior, for instance in stem cell transplantation or cancer treatment, are skewed by the un-physiological flatness of the standard well plates. Even though it is common knowledge that cells behave differently in vitro compared to in vivo, only little is known about the underlying adaptation processes. Here, we used micrometer-scale defined surface topographies as a model to describe the phenotype of hMSCs during this adaptation to their new environment. We used well established techniques to compare hMSCs cultured on flat and topographically enhanced polystyreneand observed dramatically changed cell morphologies accompanied by shrinkage of cytoplasm and nucleus, a decreased overall cellular metabolism, and slower cell cycle progression resulting in a lower proliferation rate in cells exposed to surface topographies. We hypothesized that this reduction in proliferation rate effects their sensitivity to certain cancer drugs, which was confirmed by higher survival rate of hMSCs cultured on topographies exposed to paclitaxel. Thus, micro-topographies can be used as a model system to mimic the natural cell micro-environment, and be a powerful tool to optimize cell treatment in vitro
An organoid-derived bronchioalveolar model for SARS-CoV-2 infection of human alveolar type II-like cells
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), which may result in acute respiratory distress syndrome (ARDS), multiorg
The effect of the cultural formulation interview on therapeutic working alliance: a study protocol
BackgroundThe Cultural Formulation Interview (CFI) is designed to improve understanding of patients’ mental health care needs. The lack of empirical evidence on the impact and effectiveness of CFI use in clarifying people’s perspectives, experiences, context, and identity, and in preventing cultural misunderstandings between migrant patients and clinicians, inspired this study. The objective is to examine the effect of the CFI on the strength of therapeutic working alliances, and the potential mediating or moderating role of perceived empathy.Materials and methodsA multicenter randomized controlled trial will be conducted, involving migrant patients, their confidants, and clinicians. The CFI will be administered in the intervention group, but not in the control group. Validated questionnaires will be used to assess therapeutic working alliances and perceived empathy. T-tests and linear regression analyses will be conducted to investigate between-group differences and possible mediating or moderating effects.ResultsThis study will indicate whether or not the CFI strengthens the therapeutic working alliance between patients and clinicians, as moderated and/or mediated by perceived empathy.DiscussionResearch on the effect and impact of using the CFI in mental health care for migrant patients is important to clarify whether its use strengthens the therapeutic working alliance with clinicians. This can lead to a reduction in cultural misunderstandings and improve mental health care for migrant patients. The results may also be important for the implementation of the CFI as a standard of care.Ethics and disseminationThis research protocol was tailored to the needs of patients in collaboration with experts by experience. It was approved by the Ethical Review Board of the Tilburg Law School and registered in the Clinical Trials Register under number NCT05788315. Positive results may stimulate further implementation of the CFI in clinical practice, and contribute to improving the impact of the CFI on the therapeutic working alliances