25 research outputs found

    Effects of microgravity on osteoblast mitochondria: A proteomic and metabolomics profile

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    The response of human primary osteoblasts exposed to simulated microgravity has been investigated and analysis of metabolomic and proteomic profiles demonstrated a prominent dysregulation of mitochondrion homeostasis. Gravitational unloading treatment induced a decrease in mitochondrial proteins, mainly affecting efficiency of the respiratory chain. Metabolomic analysis revealed that microgravity influenced several metabolic pathways; stimulating glycolysis and the pentose phosphate pathways, while the Krebs cycle was interrupted at succinate-fumarate transformation. Interestingly, proteomic analysis revealed that Complex II of the mitochondrial respiratory chain, which catalyses the biotransformation of this step, was under-represented by 50%. Accordingly, down-regulation of quinones 9 and 10 was measured. Complex III resulted in up-regulation by 60%, while Complex IV was down-regulated by 14%, accompanied by a reduction in proton transport synthesis of ATP. Finally, microgravity treatment induced an oxidative stress response, indicated by significant decreases in oxidised glutathione and antioxidant enzymes. Decrease in malate dehydrogenase induced a reverse in the malate-aspartate shuttle, contributing to dysregulation of ATP synthesis. Beta-oxidation of fatty acids was inhibited, promoting triglyceride production along with a reduction in the glycerol shuttle. Taken together, our findings suggest that microgravity may suppress bone cell functions, impairing mitochondrial energy potential and the energy state of the cell

    Simulated microgravity induces a cellular regression of the mature phenotype in human primary osteoblasts

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    Decreased mechanical loading on bones, such as prolonged bed rest and microgravity during space flights, leads to the development of an osteoporotic-like phenotype. Although osteoblast hypo-functionality is reported to be involved in the progression of bone pathological conditions, the cellular mechanisms of this process remain largely unknown. The combined application of mass spectrometry "-omics" and histochemical and ultrastructural approaches have been employed to investigate the effects of the gravitational unloading on human bone-cell biology. Here we show, ex vivo, that simulated microgravity (Sμg) on human primary osteoblasts (hpOB) induces an alteration of pro-osteogenic determinants (i.e., cell morphology and deposit of hydroxyapatite crystals), accompanied by a downregulation of adhesive proteins and bone differentiation markers (e.g., integrin beta-1, protein folding Crystallin Alpha B (CRYα-B), runt-related transcription factor 2 (RUNX-2), bone morphogenic protein-2 (BMP-2), and receptor activator of nuclear factor kappa-B ligand (RANK-L)), indicating an impairment of osteogenesis. Further, we observed for the first time that Sμg can trigger a transition toward a mesenchymal-like phenotype, in which a mature osteoblast displays an hampered vitamin A metabolism, loses adhesive molecules, gains mesenchymal components (e.g., pre-osteoblast state marker CD44), morphological protrusions (filopodium-like), enhances GTPase activities, which in turn allows it to acquire migrating properties. Although this phenotypic conversion is not complete and can be reversible, Sμg environment proves a plasticity potential hidden on Earth. Overall, our results suggest that Sμg can be a powerful physical cue for triggering ex vivo a dedifferentiation impulse on hpOBs, opening a new scenario of possible innovative therapeutical biomechanical strategies for the treatment of osteo-degenerative diseases

    Multi-omics profiling of calcium-induced human keratinocytes differentiation reveals modulation of unfolded protein response signaling pathways

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    By proteomic, metabolomic and transcriptomic approaches we shed light on the molecular mechanism by which human keratinocytes undergo to terminal differentiation upon in vitro calcium treatment. Proteomic analysis revealed a selective induction of the ribosomal proteins RSSA, an inhibitor of cell proliferation and inducer of differentiation, HSP 60, a protein folding chaperone and GRP78, an unfolding protein response signal. Additionally, we observed an induction of EF1D, a transcription factor for genes that contain heat-shock responsive elements. Conversely, RAD23, a protein involved in regulating ER-associated protein degradation was down-regulated. All these modifications indicated an ER stress response, which in turn activated the unfolded protein response signaling pathway through ATF4, as confirmed both by the modulation of amino acids metabolism genes, such as XBP1, PDI and GPR78, and by the metabolomic analysis. Finally, we detected a reduction of PDI protein, as confirmed by the increase of oxidized glutathione. Metabolome analysis indicated that glycolysis failed to fuel the Krebs cycle, which continued to decrease during differentiation, at glance with the PPP pathway, allowing NADH production and glutathione reduction. Since unfolded protein response is linked to keratinization, these results may be useful for studying pathological mechanisms as well as potential treatments for different pathological conditions

    Untargeted Metabolomics of Plant Leaf Tissues

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    Untargeted metabolomics is a useful approach for the simultaneous analysis of a vast array of compounds from a single extract. Metabolomic profiling is the relative multi-parallel quantification of a mixture of low molecular weight compounds, or classes of compounds, and it is most often performed by using ultra performance liquid chromatography (UPLC) coupled with mass spectrometry (MS). Being an extension of the classical targeted methods, this approach allows a broader view of the main biochemical events within a particular sample. This chapter exemplifies and provides experimental details on the basic steps to perform a non-targeted metabolomic analysis on plant leaf tissues: sample collection and homogenization, extraction of metabolites, raw data acquisition, and processing into formats for data mining and informatics. In particular, the approach was applied to two spring wheat varieties with different level of drought tolerance (Kavir, drought-resistant; Bahar, drought-sensitive) developed by the CIMMYT (International Center for the Improvement of Corn and Wheat).4n
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