Our results suggest that caspase-3 can be a target protein to inhibit periodontitis-associated apoptosis of epithelial cells and that carvacrol has therapeutic potential as an anti-apoptotic agent.

Cold-tolerance in rice may be related to increased cellulose deposition in the cell wall, membrane fatty acids unsaturation and differential expression of several newly identified genes. Low temperature exposure during early vegetative stages limits rice plant's growth and development. Most genes previously related to cold tolerance in rice are from the japonica subspecies. To help clarify the mechanisms that regulate cold tolerance in young indica rice plants, comparative transcriptome analysis of 6 h cold-treated (10 °C) leaves from two genotypes, cold-tolerant (CT) and cold-sensitive (CS), was performed. Differentially expressed genes were identified: 831 and 357 sequences more expressed in the tolerant and in the sensitive genotype, respectively. The genes with higher expression in the CT genotype were used in systems biology analyses to identify protein-protein interaction (PPI) networks and nodes (proteins) that are hubs and bottlenecks in the PPI. From the genes more expressed in the tolerant plants, 60% were reported as affected by cold in previous transcriptome experiments and 27% are located within QTLs related to cold tolerance during the vegetative stage. Novel cold-responsive genes were identified. Quantitative RT-PCR confirmed the high-quality of RNAseq libraries. Several genes related to cell wall assembly or reinforcement are cold-induced or constitutively highly expressed in the tolerant genotype. Cold-tolerant plants have increased cellulose deposition under cold. Genes related to lipid metabolism are more expressed in the tolerant genotype, which has higher membrane fatty acids unsaturation, with increasing levels of linoleic acid under cold. The CT genotype seems to have higher photosynthetic efficiency and antioxidant capacity, as well as more effective ethylene, Ca and hormone signaling than the CS. These genes could be useful in future biotechnological approaches aiming to increase cold tolerance in rice.

Satureja hortensis L. is an aromatic plant with antibacterial and antibiofilm activities against periodontopathogens. Here, we attempted to find out whether the antioxidant properties of S. hortensis L. essential oil (EO) could be used to inhibit matrix metalloproteinase (MMP) activities and prevent the induction of cell death by a pro-oxidant insult. First, a landscape analysis of MMP and REDOX/nitric oxide (NO)-related genes was performed (MRN model), and array data from periodontitis patients were plotted over the newly developed model. Thereafter, the antigelatinolytic activity of S. hortensis L. EO and its preventive effect against hydrogen peroxide (H2 O2 )-induced cell death were tested in vitro (HaCaT cells). Up-regulation of MMP genes in the MRN network (except for MMP-10, -15, -16, -20, -25, and -26) and differential expression of genes coding for antioxidant enzymes were found among others in periodontitis samples. MMP2 and MMP9 were central genes in the MRN network model. Moreover, treatments with 1 and 5 μl/ml of S. hortensis L. EO inhibited both MMP-2 and MMP-9 activities, and H2 O2 -induced cell death in vitro. We concluded that S. hortensis L. EO could be a promising host-modulating agent, since oxidative stress and excessive MMP expression/activity are typical hallmarks of periodontal pathogenesis.

Periodontitis, a formidable global health burden, is a common chronic disease that destroys tooth-supporting tissues. Biomarkers of the early phase of this progressive disease are of utmost importance for global health. In this context, saliva represents a non-invasive biosample. By using systems biology tools, we aimed to (1) identify an integrated interactome between matrix metalloproteinase (MMP)-REDOX/nitric oxide (NO) and apoptosis upstream pathways of periodontal inflammation, and (2) characterize the attendant topological network properties to uncover putative biomarkers to be tested in saliva from patients with periodontitis. Hence, we first generated a protein-protein network model of interactions (“BIOMARK” interactome) by using the STRING 10 database, a search tool for the retrieval of interacting genes/proteins, with “Experiments” and “Databases” as input options and a confidence score of 0.400. Second, we determined the centrality values (closeness, stress, degree or connectivity, and betweenness) for the “BIOMARK” members by using the Cytoscape software. We found Ubiquitin C (UBC), Jun proto-oncogene (JUN), and matrix metalloproteinase-14 (MMP14) as the most central hub- and non-hub-bottlenecks among the 211 genes/proteins of the whole interactome. We conclude that UBC, JUN, and MMP14 are likely an optimal candidate group of host-derived biomarkers, in combination with oral pathogenic bacteria-derived proteins, for detecting periodontitis at its early phase by using salivary samples from patients. These findings therefore have broader relevance for systems medicine in global health as well.

Gene expression of gingival adhesion molecules in periodontitis is regulated by leukocyte transmigration, whereas the neutrophilic antimicrobial peptide HNP-1 is noted as a putative regulator of epithelial adhesion molecules. These observations contribute to the key mechanisms by which future biomarkers might be developed for periodontitis.