Background Glycemic control is vital in the care of type 2 diabetes mellitus (T2DM) and is significantly associated with the incidence of clinical complications. This Bayesian network analysis was conducted with an aim of evaluating the efficacy of scaling and root planning (SRP) and SRP + adjuvant treatments in improving glycemic control in chronic periodontitis (CP) and T2DM patients, and to guide clinical practice. Methods We searched the Pubmed, Embase, Cochrane Library and Web of Science databases up to 4 May 2018 for randomized controlled trials (RCTs). This was at least three months of the duration of study that involved patients with periodontitis and T2DM without other systemic diseases given SRP. Patients in the control group did not receive treatment or SRP combination with adjuvant therapy. Outcomes were given as HbA1c% and levels fasting plasma glucose (FPG). Random-effects meta-analysis and Bayesian network meta-analysis were conducted to pool RCT data. Cochrane’s risk of bias tool was used to assess the risk of bias. Results Fourteen RCTs were included. Most were unclear or with high risk of bias. Compared to patients who did not receive treatment, patients who received periodontal treatments showed improved HbA1c% level, including SRP (the mean difference (MD) -0.399 95% CrI 0.088 to 0.79), SRP + antibiotic (MD 0.62, 95% CrI 0.18 to 1.11), SRP + photodynamic therapy (aPDT) + doxycycline (Doxy) (MD 1.082 95% CrI 0.13 to 2.077) and SRP + laser (MD 0.66 95% CrI 0.1037, 1.33). Among the different treatments, SRP + aPDT + Doxy ranked best. Regarding fasting plasma glucose (FPG), SRP did not show advantage over no treatment (MD 4.91 95% CI − 1.95 to 11.78) and SRP with adjuvant treatments were not better than SRP alone (MD -0.28 95% CI -8.66, 8.11). Conclusion The results of this meta-analysis seem to support that periodontal treatment with aPDT + Doxy possesses the best efficacy in lowering HbA1c% of non-smoking CP without severe T2DM complications. However, longer-term well-executed, multi-center trails are required to corroborate the results. Electronic supplementary material The online version of this article (10.1186/s12903-019-0829-y) contains supplementary material, which is available to authorized users.

BackgroundIncreasing evidence has demonstrated that long non-coding RNAs (lncRNAs) play an important role in the competitive endogenous RNA (ceRNA) networks in that they regulate protein-coding gene expression by sponging microRNAs (miRNAs). However, the understanding of the ceRNA network in tongue squamous cell carcinoma (TSCC) remains limited. MethodsExpression profile data regarding mRNAs, miRNAs and lncRNAs as well as clinical information on 122 TSCC tissues and 15 normal controls from The Cancer Genome Atlas (TCGA) database were collected. We used the edgR package to identify differentially expressed mRNAs (DEmRNAs), lncRNAs (DElncRNAs) and miRNAs (DEmiRNAs) between TSCC samples and normal samples. In order to explore the functions of DEmRNAs, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed. Subsequently, a ceRNA network was established based on the identified DElncRNAs–DEmiRNAs and DEmiRNAs–DEmRNAs interactions. The RNAs within the ceRNA network were analyzed for their correlation with overall disease survival. Finally, lncRNAs were specifically analyzed for their correlation with clinical features in the included TSCC patient samples. ResultsA total of 1867 mRNAs, 828 lncRNAs and 81 miRNAs were identified as differentially expressed in TSCC tissues (—log 2fold change— ≥ 2; adjusted P value <0.01). The resulting ceRNA network included 16 mRNAs, 56 lncRNAs and 6 miRNAs. Ten out of the 56 lncRNAs were found to be associated with the overall survival in TSCC patients (P < 0.05); 10 lncRNAs were correlated with TSCC progression (P < 0.05). ConclusionOur study deepens the understanding of ceRNA network regulatory mechanisms in TSCC. Furthermore, we identified ten lncRNAs (PART1, LINC00261, AL163952.1, C2orf48, FAM87A, LINC00052, LINC00472, STEAP3-AS1, TSPEAR-AS1 and ERVH48-1) as novel, potential prognostic biomarkers and therapeutic targets for TSCC.

The heterogeneous Cu-based solid catalysts have attracted enormous attention of researchers in different potential applications. In this work, a graphitic carbon nitride/copper-doped carbon dots (g-C3N4/Cu-CDs) nanocomposite with both intrinsic peroxidase- and oxidase-like (POD- and OXD-like) activities was successfully prepared. Due to the synergistic catalytic enhancement and electron transmission provided by g-C3N4, both POD- and OXD-like activities of g-C3N4/Cu-CDs were significantly improved compared with those of g-C3N4 and Cu-CDs. Moreover, upon the addition of H2O2, g-C3N4/Cu-CDs could catalyze the oxidation of colorless o-phenylenediamine (OPD) to form a yellow fluorescent product 2,3-diaminophenazine (DAP) with yellow fluorescence. Interestingly, the OPD + H2O2 + g-C3N4/Cu-CDs system could be inhibited by phenolic compounds, which could efficiently decrease the DAP fluorescence. Based on this, a method for the quantitative detection of total phenolic substances was established. Meanwhile, the use of OXD-like activity of nanocomposites was extended for the degradation of phenols (e.g., 2-CP), which showed a good degradation efficiency. Based on the result that the conversion of Cu+/Cu2+/Cu0 plays pivotal roles in promoting the generation of radicals (i.e., •OH and •O2 –), a possible catalytic mechanism of g-C3N4/Cu-CDs was deduced. These findings showed that the proposed g-C3N4/Cu-CDs exhibit great potential to become a green catalyst for the degradation of phenolic pollutants in the environment.