Introduction. Within the intervertebral disc (IVD), nucleus pulposus (NP) cells reside within a unique microenvironment. Factors such as hypoxia, osmolality, pH and the presence of cytokines all dictate the function of NP cells and as such the cells must adapt to their environment to survive. Previously we have identified the expression of aquaporins (AQP) within human IVD tissue. AQPs allow the movement of water across the cell membrane and are important in cellular homeostasis. Here we investigated how AQP gene expression was regulated by the microenvironment of the IVD. Methods. Human NP cells were cultured in alginate beads prior to cytokine, osmolality, pH and hypoxia treatments and subsequent RT-qPCR to assess regulation of AQP gene expression. Results. Physiological conditions observed within the native IVD regulated AQP gene expression in human NP cells. Hyperosmotic treatment up-regulated the expression of AQP1 and 5 during hypoxic conditions, whereas AQP4 expression was down-regulated. During hypoxia and physiological pH treatments AQP5 expression was increased. Pro-inflammatory cytokines, increased during IVD degeneration, also altered AQP gene expression.
This study aimed, through bioinformatics analysis and in vitro experiment validation, to identify the key extracellular proteins of intervertebral disc degeneration (IDD). The gene expression profile of GSE23130 was downloaded from the Gene Expression Omnibus (GEO) database. Extracellular protein-differentially expressed genes (EP-DEGs) were screened by protein annotation databases, and we used Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) to analyze the functions and pathways of EP-DEGs. STRING and Cytoscape were used to construct protein-protein interaction (PPI) networks and identify hub EP-DEGs. NetworkAnalyst was used to analyze transcription factors (TFs) and microRNAs (miRNAs) that regulate hub EP-DEGs. A search of the Drug Signatures Database (DSigDB) for hub EP-DEGs revealed multiple drug molecules and drug-target interactions.Aims
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