Long non-coding RNA MALAT1 promotes odontogenic differentiation of human dental pulp stem cells by impairing microRNA-140-5p-dependent downregulation of GIT2.

Accumulating research continues to highlight the notable role of microRNAs (miRs) and long non-coding RNAs (lncRNAs) as important regulators in the process of human dental pulp stem cell (hDPSCs) differentiation. The current study aimed to investigate the novel regulatory circuitry of lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1)/miR-140-5p/G protein-coupled receptor (GPCR)-kinase 2 interacting protein 2 (GIT2) on the odontogenic differentiation of hDPSCs. In hDPSCs, miR-140-5p was downregulated during the odontogenic differentiation, which was verified to directly target GIT2. RNA crosstalk determined by dual-luciferase reporter and RNA pull-down assays revealed that MALAT1 could bind to miR-140-5p to upregulate the expression of GIT2. After that, the levels of MALAT1, miR-140-5p, and GIT2 in hDPSCs were up- or downregulated by exogenous transfection or lentivirus infection in order to investigate their effects on the differentiation of hDPSCs. It was observed that elevation of miR-140-5p or knockdown of GIT2 resulted in inhibited alkaline phosphatase (ALP) activity, expression of dentin sialophosphoprotein (DSPP), dentin matrix-protein-1 (DMP-1), and distal-less homeobox 3 (DLX3) as well as positive expression of desmoplakin (DSP) protein. The promotive effects of MALAT1 on odontogenic differentiation were diminished by restoration of miR-140-5p or inhibition of GIT2. Taken together, this study provides valuable evidence suggesting MALAT1 as a potential contributor to the odontogenic differentiation of hDPSCs.

HIV infection and microbial diversity in saliva.

Limited information is available about the effects of HIV and subsequent antiretroviral treatment on host-microbe interactions. This study aimed to determine the salivary microbial composition for 10 HIV-seropositive subjects, before and 6 months after highly active antiretroviral therapy (HAART), compared with that for 10 HIV-seronegative subjects. A conventional culture and two culture-independent analyses were used and consistently demonstrated differences in microbial composition among the three sets of samples. HIV-positive subjects had higher levels of total cultivable microbes, including oral streptococci, lactobacilli, Streptococcus mutans, and Candida, in saliva than did HIV-negative subjects. The total cultivable microbial levels were significantly correlated with CD4+ T cell counts. Denaturing gradient gel electrophoresis (DGGE), which compared the overall microbial profiles, showed distinct fingerprinting profiles for each group. The human oral microbe identification microarray (HOMIM) assay, which compared the 16S rRNA genes, showed clear separation among the three sample groups. Veillonella, Synergistetes, and Streptococcus were present in all 30 saliva samples. Only minor changes or no changes in the prevalence of Neisseria, Haemophilus, Gemella, Leptotrichia, Solobacterium, Parvimonas, and Rothia were observed. Seven genera, Capnocytophaga, Slackia, Porphyromonas, Kingella, Peptostreptococcaceae, Lactobacillus, and Atopobium, were detected only in HIV-negative samples. The prevalences of Fusobacterium, Campylobacter, Prevotella, Capnocytophaga, Selenomonas, Actinomyces, Granulicatella, and Atopobium were increased after HAART. In contrast, the prevalence of Aggregatibacter was significantly decreased after HAART. The findings of this study suggest that HIV infection and HAART can have significant effects on salivary microbial colonization and composition.

Landscape of Cell Communication in Human Dental Pulp.

The cellular atlas of the stroma is not well understood. Here, the cell populations in human dental pulp through single-cell RNA sequencing are profiled. Dental pulp stem cells, pulp cells, T cells, macrophages, endothelial cells, and glial cells are identified in human dental pulp. These cells support each other through sending growth signals. Based on the appearance of ligand-receptor pairs between two cell populations, pulp cells have the greatest communication with other cell types, while T cells have the least communication. In addition, T cells expressing TLR1, TLR2, and TLR4, and endothelial cells expressing TLR4, monitor bacterial invasion. These findings provide the census of normal dental pulp.

[Efficacy of immune responses induced by anti-caries DNA vaccine-loaded bacterial ghost in mice].

OBJECTIVE: To develop an anti-caries DNA vaccine-loaded Salmonella typhimurium (St) ghost and enhance the efficacy of immune responses induced by anti-caries DNA vaccine via mucosal route. METHODS: Both pREP4 and PhiX gene E expression plasmids were transformed into StJ357 and then induced with isopropyl ß-D-1-thiogalactopyranoside (IPTG). The bacterial ghosts (BG) were collected after wash and loaded with anti-caries DNA vaccine pGJGLU/VAX. Mice were divided into four groups and immunized through the nasal route with pGJGLU/VAX-loaded BG (Group Ghost+pGJGLU/VAX), pVAX1-loaded BG (Group Ghost+pVAX1), pGJGLU/VAX-Bupivacaine complex (Group pGJGLU/VAX) and pVAX1-Bupivacaine complex (Group pVAX1), respectively. Enzyme-linked immunosorbent assay (ELISA) was used to evaluate the immune responses. RESULTS: ELISA results showed that group Ghost+pGJGLU/VAX had significantly higher level of specific anti-GLU SIgA antibody [(0.367 ± 0.086) A/µg] compared with group Ghost+pVAX1 [(0.122 ± 0.077) A/µg], Group pGJGLU/VAX[(0.068 ± 0.068) A/µg] or Group pVAX1[(0.089 ± 0.089) A/µg] (P = 0.028, 0.012 or 0.030, respectively). CONCLUSIONS: St ghost was developed successfully, which enhanced the efficacy of immune responses induced by anti-caries DNA vaccine pGJGLU/VAX via the nasal route.

Effect of protease inhibitors on the quantitative and qualitative assessment of oral microorganisms.

Protease inhibitor cocktails are routinely added to clinical samples used for proteomic studies to inactivate proteases. As these same samples are often used for microbial studies, we determined whether the addition of protease inhibitors could affect the quantitative or qualitative assessment of microbial profiles. Twenty-two saliva samples were collected and processed immediately with or without the addition of a protease inhibitor cocktail. Conventional cultivation methods were used to evaluate total bacterial growth. Total genomic DNA was isolated and a specific 16S rRNA gene-targeted region was PCR-amplified and separated by denaturing gradient gel electrophoresis. A combination of 1D sodium dodecyl sulfate polyacrylamide gel electrophoresis and LC-MS/MS methods was used to determine the effect of the protease inhibitors on the integrity of salivary proteins and peptides. Interestingly, no significant differences were observed in either the bacterial growth and composition or the integrity of salivary proteins between the two groups. Correlation coefficients between the paired samples for total cultivable microbiota (r(2) =0.847), total mutans streptococci (r(2) =0.898), total oral lactobacilli (r(2) =0.933), and total Streptococcus mutans (r(2) =0.870) also exceeded expected values. The results suggest that the addition of a protease inhibitor cocktail in saliva samples does not impact the growth of oral microbiota or compromise the ability to characterize its composition.