Human Osteoblast-Derived Extracellular Matrix with High Homology to Bone Proteome Is Osteopromotive.

Efficient osteogenic differentiation of mesenchymal stromal cells (MSCs) is crucial to accelerate bone formation. In this context, the use of extracellular matrix (ECM) as natural 3D framework mimicking in vivo tissue architecture is of interest. The aim of this study was to generate a devitalized human osteogenic MSC-derived ECM and to investigate its impact on MSC osteogenic differentiation to improve MSC properties in bone regeneration. The devitalized ECM significantly enhanced MSC adhesion and proliferation. Osteogenic differentiation and mineralization of MSCs on the ECM were quicker than in standard conditions. The presence of ECM promoted in vivo bone formation by MSCs in a mouse model of ectopic calcification. We analyzed the ECM composition by mass spectrometry, detecting 846 proteins. Of these, 473 proteins were shared with the human bone proteome we previously described, demonstrating high homology to an in vivo microenvironment. Bioinformatic analysis of the 846 proteins showed involvement in adhesion and osteogenic differentiation, confirming the ECM composition as key modulator of MSC behavior. In addition to known ECM components, proteomic analysis revealed novel ECM functions, which could improve culture conditions. In summary, this study provides a simplified method to obtain an in vitro MSC-derived ECM that enhances osteogenic differentiation and could be applied as natural biomaterial to accelerate bone regeneration.

The Muscle Metabolome Differs between Healthy and Frail Older Adults.

Populations around the world are aging rapidly. Age-related loss of physiological functions negatively affects quality of life. A major contributor to the frailty syndrome of aging is loss of skeletal muscle. In this study we assessed the skeletal muscle biopsy metabolome of healthy young, healthy older and frail older subjects to determine the effect of age and frailty on the metabolic signature of skeletal muscle tissue. In addition, the effects of prolonged whole-body resistance-type exercise training on the muscle metabolome of older subjects were examined. The baseline metabolome was measured in muscle biopsies collected from 30 young, 66 healthy older subjects, and 43 frail older subjects. Follow-up samples from frail older (24 samples) and healthy older subjects (38 samples) were collected after 6 months of prolonged resistance-type exercise training. Young subjects were included as a reference group. Primary differences in skeletal muscle metabolite levels between young and healthy older subjects were related to mitochondrial function, muscle fiber type, and tissue turnover. Similar differences were observed when comparing frail older subjects with healthy older subjects at baseline. Prolonged resistance-type exercise training resulted in an adaptive response of amino acid metabolism, especially reflected in branched chain amino acids and genes related to tissue remodeling. The effect of exercise training on branched-chain amino acid-derived acylcarnitines in older subjects points to a downward shift in branched-chain amino acid catabolism upon training. We observed only modest correlations between muscle and plasma metabolite levels, which pleads against the use of plasma metabolites as a direct read-out of muscle metabolism and stresses the need for direct assessment of metabolites in muscle tissue biopsies.

Calcifying vascular smooth muscle cells and osteoblasts: independent cell types exhibiting extracellular matrix and biomineralization-related mimicries.

BACKGROUND: Ectopic vascular calcifications represent a major clinical problem associated with cardiovascular disease and mortality. However, the mechanisms underlying pathological vascular calcifications are largely unknown hampering the development of therapies to tackle this life threatening medical condition. RESULTS: In order to gain insight into the genes and mechanisms driving this pathological calcification process we analyzed the transcriptional profile of calcifying vascular smooth muscle cells (C-VSMCs). These profiles were compared to differentiating osteoblasts, cells that constitute their physiological calcification counterparts in the body. Overall the transcriptional program of C-VSMC and osteoblasts did not overlap. Several genes, some of them relevant for bone formation, were distinctly modulated by C-VSMCs which did not necessarily lose their smooth muscle cell markers while calcifying. Bioinformatics gene clustering and correlation analysis disclosed limited bone-related mechanisms being shared by two cell types. Extracellular matrix (ECM) and biomineralization genes represented common denominators between pathological vascular and physiological bone calcifications. These genes constitute the strongest link between these cells and represent potential drivers for their shared end-point phenotype. CONCLUSIONS: The analyses support the hypothesis that VSMC trans-differentiate into C-VSMCs keeping their own identity while using mechanisms that osteoblasts use to mineralize. The data provide novel insights into groups of genes and biological processes shared in MSC and VSMC osteogenic differentiation. The distinct gene regulation between C-VSMC and osteoblasts might hold clues to find cell-specific pathway modulations, opening the possibility to tackle undesired vascular calcifications without disturbing physiologic bone formation and vice versa.

Activin A suppresses osteoblast mineralization capacity by altering extracellular matrix (ECM) composition and impairing matrix vesicle (MV) production.

During bone formation, osteoblasts deposit an extracellular matrix (ECM) that is mineralized via a process involving production and secretion of highly specialized matrix vesicles (MVs). Activin A, a transforming growth factor-ß (TGF-ß) superfamily member, was previously shown to have inhibitory effects in human bone formation models through unclear mechanisms. We investigated these mechanisms elicited by activin A during in vitro osteogenic differentiation of human mesenchymal stem cells (hMSC). Activin A inhibition of ECM mineralization coincided with a strong decline in alkaline phosphatase (ALP(1)) activity in extracellular compartments, ECM and matrix vesicles. SILAC-based quantitative proteomics disclosed intricate protein composition alterations in the activin A ECM, including changed expression of collagen XII, osteonectin and several cytoskeleton-binding proteins. Moreover, in activin A osteoblasts matrix vesicle production was deficient containing very low expression of annexin proteins. ECM enhanced human mesenchymal stem cell osteogenic development and mineralization. This osteogenic enhancement was significantly decreased when human mesenchymal stem cells were cultured on ECM produced under activin A treatment. These findings demonstrate that activin A targets the ECM maturation phase of osteoblast differentiation resulting ultimately in the inhibition of mineralization. ECM proteins modulated by activin A are not only determinant for bone mineralization but also possess osteoinductive properties that are relevant for bone tissue regeneration.

Unraveling the human bone microenvironment beyond the classical extracellular matrix proteins: a human bone protein library.

A characteristic feature of bone, differentiating it from other connective tissues, is the mineralized extracellular matrix (ECM). Mineral accounts for the majority of the bone tissue volume, being the remainder organic material mostly derived from collagen. This, and the fact that only a limited number of noncollagenous ECM proteins are described, provides a limited view of the bone tissue composition and bone metabolism, the more so considering the increasing understanding of ECM significance for cellular form and function. For this reason, we set out to analyze and extensively characterize the human bone proteome using large-scale mass spectrometry-based methods. Bone samples of four individuals were analyzed identifying 3038 unique proteins. A total of 1213 of these were present in at least 3 out of 4 bone samples. For quantification purposes, we were limited to noncollagenous proteins (NCPs) and we could quantify 1051 NCPs. Most classical bone matrix proteins mentioned in literature were detected but were not among the highly abundant ones. Gene ontology analyses identified high-abundance groups of proteins with a functional link to mineralization and mineral metabolism such as transporters, pyrophosphatase activity, and Ca(2+)-dependent phospholipid binding proteins. ECM proteins were as well overrepresented together with nucleosome and antioxidant activity proteins, which have not been extensively characterized as being important for bone. In conclusion, our data clearly demonstrates that human bone tissue is a reservoir of a wide variety of proteins. In addition to the classical osteoblast-derived ECM, we have identified many proteins from different sources and of unknown function in bone. Thus, this study represents an informative library of bone proteins forming a source for novel bone formation modulators as well as biomarkers for bone diseases such as osteoporosis.

Proteomic analysis of human osteoblastic cells: relevant proteins and functional categories for differentiation.

Osteoblasts are the bone forming cells, capable of secreting an extracellular matrix with mineralization potential. The exact mechanism by which osteoblasts differentiate and form a mineralized extracellular matrix is presently not fully understood. To increase our knowledge about this process, we conducted proteomics analysis in human immortalized preosteoblasts (SV-HFO) able to differentiate and mineralize. We identified 381 proteins expressed during the time course of osteoblast differentiation. Gene ontology analysis revealed an overrepresentation of protein categories established as important players for osteoblast differentiation, bone formation, and mineralization such as pyrophosphatases. Proteins involved in antigen presentation, energy metabolism and cytoskeleton rearrangement constitute other overrepresented processes, whose function, albeit interesting, is not fully understood in the context of osteoblast differentiation and bone formation. Correlation analysis, based on quantitative data, revealed a biphasic osteoblast differentiation, encompassing a premineralization and a mineralization period. Identified differentially expressed proteins between mineralized and nonmineralized cells include cytoskeleton (e.g., CCT2, PLEC1, and FLNA) and extracellular matrix constituents (FN1, ANXA2, and LGALS1) among others. FT-ICR-MS data obtained for FN1, ANXA2, and LMNA shows a specific regulation of these proteins during the different phases of osteoblast differentiation. Taken together, this study increases our understanding of the proteomics changes that accompany osteoblast differentiation and may permit the discovery of novel modulators of bone formation.