The effect of sodium valproate on differentiation of human adipose-derived stem cells into cardiomyocyte-like cells in two-dimensional culture and fibrin scaffold conditions

Differentiation of mesenchymal stem cells (MSCs) into cardiomyocytes is a complex phenomenon, and attempts to find an effective inducing agent are still ongoing. We studied the effect of fibrin scaffold and sodium valproate (VPA, as a histone deacetylase inhibitor) on the differentiation of human adipose-derived stem cells (hADSCs) into cardiomyocyte-like cells. The cells were cultured in culture flask (2D) and in fibrin scaffold (3D), fabricated of human plasma fibrinogen, with and without VPA (1 mM). QRT-PCR, Western blot, and immunochemistry assays were used to evaluate the expression of cardiac markers at gene and protein levels. High levels of CD44, CD90, CD73, and CD105 were expressed on the surface of hADSCs. Treated encapsulated hADSCs (3D) presented significantly higher mRNA expression of HAND1 (1.54-fold), HAND2 (1.59-fold), cTnI (1.76-fold), MLC2v (1.4-fold), Cx43 (1.38-fold), βMHC (1.34-fold), GATA4 (1.48-fold), and NKX2.5 (1.66-fold) in comparison to 2D conditions at four weeks after induction. The protein expressions of NKX2.5 (0.78 vs 0.65), cTnI (1.04 vs 0.81), and Cx43 (1.11 vs 1.08) were observed in the differentiated cells both in 3D and 2D groups, while control cells were absolutely negative for these proteins. The frequency of cTnI and Cx43-positive cells was significantly higher in 3D (24.2 ± 15 and 12 ± 3%) than 2D conditions (19.8 ± 3 and 10 ± 2%). Overall, the results showed that VPA can increase cardiomyogenesis in hADSCs and that fibrin scaffold enhances the inductive effect of VPA. Results of this study may improve cell-based protocols for implementation of more successful cardiac repair strategies.

Comprehensive transcriptional landscape of porcine cardiac and skeletal muscles reveals differences of aging

Aging significantly affects the cardiac muscle (CM) and skeletal muscles (SM). Since the aging process of CM and SM may be different, high throughput RNA sequencing was performed using CM and SM in different age conditions to evaluate the expression profiles of messenger RNA (mRNA), long non-coding RNA (lncRNA), micro RNA (miRNA), and circular (circRNA). Several mRNAs, lncRNAs, and miRNAs were highly expressed and consistently appeared in both ages in one of the two muscle tissues. Gene ontology (GO) annotation described that these genes were required for maintaining normal biological functions of CM and SM tissues. Furthermore, 26 mRNAs, 4 lncRNAs, 22 miRNAs, and 26 circRNAs were differentially expressed during cardiac muscle aging. Moreover, 81 mRNAs, 5 lncRNAs, 79 miRNAs, and 62 circRNAs were differentially expressed during aging of skeletal muscle. When comparing the expression profiles of CM and SM during aging, the senescence process in CM and SM was found to be fundamentally different. In addition, we assessed multi-group cooperative control relationships and constructed circRNA-miRNA-mRNA co-expression networks in muscular aging. In conclusion, our findings will contribute to the understanding of muscular aging and provide a foundation for future studies on the molecular mechanisms underlying muscular aging.

Cardiac manifestations of primary mitochondrial disorders

OBJECTIVES

One of the most frequently affected organs in mitochondrial disorders (MIDs), defined as hereditary diseases due to affection of the mitochondrial energy metabolism, is the heart. Cardiac involvement (CI) in MIDs has therapeutic and prognostic implications. This review aims at summarizing and discussing the various cardiac manifestations in MIDs.

METHODS

Data for this review were identified by searches of MEDLINE, Current Contents, and PubMed using appropriate search terms.

RESULTS

CI in MIDs may be classified according to various different criteria. In the present review cardiac abnormalities in MIDs are discussed according to their frequency with which they occur. CI in MIDs includes cardiomyopathy, arrhythmias, heart failure, pulmonary hypertension, dilation of the aortic root, pericardial effusion, coronary heart disease, autonomous nervous system dysfunction, congenital heart defects, or sudden cardiac death. The most frequent among the cardiomyopathies is hypertrophic cardiomyopathy, followed by dilated cardiomyopathy, and noncompaction.

CONCLUSIONS

CI in MID is more variable and prevalent than previously thought. All tissues of the heart may be variably affected. The most frequently affected tissue is the myocardium. MIDs should be included in the differential diagnoses of cardiac disease.

Effect of intravenous coadministration of human stroma cell lines on engraftment of long-term repopulating clonal myelodysplastic syndrome cells in immunodeficient mice

Engraftment of clonal hematopoietic precursor cells from patients with myelodysplastic syndrome (MDS) in immunodeficient mice has been difficult to achieve by intravenous (i.v.) injection. We used i.v. coadministration of the human marrow stroma cell line HS27a with CD34+ MDS cells in Nod.cg-Prkdc^scid Il2rg^tm1wjll (NSG) mice to provide signals that would facilitate engraftment. Hematopoietic cells from 24 MDS patients were transplanted. Cells from all patients were engrafted, and engraftment was documented in 44 of 46 evaluable mice (95%). Immunohistochemistry revealed human HS27a stroma colocalizing with human hematopoietic cells in mouse spleens. Human CD34+ precursors harvested from marrow and spleen of primary murine recipients, when combined with HS27a cells, were also engrafted successfully in secondary NSG recipients, showing persistence of the original clonal characteristics. This observation supports the concept that clonal markers were present in long-term repopulating cells. We suggest that HS27a stroma cells ‘traveled' in direct contact with hematopoietic precursors and enabled their propagation. An essential signal for engraftment appears to be CD146, which is prominently expressed on HS27a cells. This xenotransplantation model will allow to further dissect signals that control engraftment of MDS cells and should be amenable to in vivo treatment studies.

Identification of a common gene expression signature associated with immature clonal mesenchymal cell populations derived from bone marrow and dental tissues

Mesenchymal stem/stromal cell-like populations derived from adult bone marrow (BMSC), dental pulp (DPSC), and periodontal ligament (PDLSC) have the ability to differentiate into cells of mesenchymal and non-mesenchymal tissues in vitro and in vivo. However, culture-expanded MSC-like populations are a heterogeneous mix of stem/committed progenitor cells that exhibit altered growth and developmental potentials. In the present study we isolated and characterized clonal populations of BMSCs, DPSCs, and PDLSCs to identify potential biomarkers associated with long-lived multipotential stem cells. Microarray analysis was used to compare the global gene expression profiles of high growth/multipotential clones with low growth potential cell clones derived from 3 stromal tissues. Cross-comparison analyses of genes expressed by high growth/multipotential clones derived from bone marrow, dental pulp, and periodontal ligament identified 24 genes that are differentially up-regulated in all tissues. Notably, the transcription factors, E2F2, PTTG1, TWIST-1, and transcriptional cofactor, LDB2, each with critical roles in cell growth and survival, were highly expressed in all stem cell populations examined. These findings provide a model system for identifying a common molecular fingerprint associated with immature mesenchymal stem-like cells from different organs and implicate a potential role for these genes in MSC growth and development.

Genomic profiling of mesenchymal stem cells

Mesenchymal stem/stromal cells (MSC) are an accessible source of precursor cells that can be expanded in vitro and used for tissue regeneration for different clinical applications. The advent of microarray technology has enabled the monitoring of individual and global gene expression patterns across multiple cell populations. Thus, genomic profiling has fundamentally changed our capacity to characterize MSCs, identify potential biomarkers and determined key molecules regulating biological processes involved in stem cell survival, growth and development. Numerous studies have now examined the genomic profiles of MSCs derived from different tissues that exhibit varying levels of differentiation and proliferation potentials. The knowledge gained from these studies will help improve our understanding of the cellular signalling pathways involved in MSC growth, survival and differentiation, and may aid in the development of strategies to improve the tissue regeneration potential of MSCs for different clinical indications. The present review summarizes studies characterizing the gene expression profile of MSCs.

Meta-analysis and profiling of cardiac expression modules

Heart failure is a complex, complicated disease that is not yet fully understood. We used the Module Map algorithm to uncover groups of genes that have a similar pattern of expression under various conditions of heart stress. These groups of genes are called modules and may serve as computational predictions of biological pathways for the various clinical situations. The Module Map algorithm allows a large-scale analysis of genes expressed. We applied this algorithm to 700 different mouse experiments downloaded from the Gene Expression Omnibus database, which identified 884 modules. The analysis reconstructed partially known principles that play a role in governing the response of heart to stress, thus demonstrating the strength of the method. We have shown a role of genes related to the immune system in conditions of heart remodeling and failure. We have also shown changes in the expression of genes involved with energy metabolism and changes in the expression of contractile proteins of the heart following myocardial infarction. When focusing on another module we noted a new correlation between genes related to osteogenesis and heart failure, including Runx2 and Ahsg, whose role in heart failure was unknown so far. Despite a lack of prior biological knowledge, the Module Map algorithm has reconstructed known pathways, which demonstrates the strength of this new method for analyzing gene profiles related to clinical phenomenon. The method and the analysis presented are a new avenue to uncover the correlation of clinical conditions to the molecular level.