Association of crown emergence angle and profile with dental plaque and inflammation at dental implants.

BACKGROUND: The shape of implant restorations is critical for function and aesthetics. It may also be important in peri-implant tissue health preservation. This study aimed to associate the restorative contour of a single crown with marginal dental plaque accumulation, tissue inflammation and probing depths. METHODS: Subjects with a single screw-retained implant restoration were clinically examined. The presence of dental biofilm, tissue inflammation and probing pocket depths were the dependent variables. The emergence angle, profile and depth of the mucosal tunnel were measured on superimposed digital scans of the crown soft-tissue complex, the removed crown mounted on an analogue and the soft tissue. RESULTS: One hundred twenty two subjects (46.7% female, 68.9% never smokers, 77% with treated periodontitis and 52.5% participating in regular supportive peri-implant care) were examined. The emergence angles at the mucosal margin were 15.3 ± 9.4°, 12.7 ± 8.5°, 31.3 ± 11.8° and 19.2 ± 9.8° for the mesial, distal, vestibular and oral aspects of the crowns. The largest emergence profile angles were observed on the vestibular aspect (74.6% of cases), reaching a maximum of 61.7°, and profiles were convex in 59% of cases. Generalized estimating equations indicated that the site-specific platform-level emergence angle and profile and depth of the mucosal tunnel were significantly associated with the presence of detectable plaque accumulation (p < .01) and bleeding on probing (p < .02). CONCLUSIONS: Subtle variations in the shape of the restorative crown are associated with biofilm accumulation and mucosal inflammation. These findings are important for 3D implant planning/positioning and preservation of peri-implant tissue health.

UPLC/Q-TOF-MS-based Metabolomics Study of the Antiosteoporosis Effects of Vaccarin in Ovariectomized Mice.

Osteoporosis is a systemic and metabolic bone disease that usually occurs in postmenopausal women, which mainly manifests as bone loss and increased bone fragility that both facilitate fracture. However, few drugs for osteoporosis have shown good efficacy and limited side effects. Vaccarin has demonstrated its antiosteoporosis effects by inhibiting the formation and osteolytic activities of osteoclasts in our previous investigation. In this study, multivariate statistical analysis and ultrahigh-performance liquid chromatography and quadrupole time-of-flight tandem mass spectrometry were used to analyze the serum metabolites of ovariectomized mice treated with or without vaccarin. As a result, 9 serum metabolites were identified as biomarkers. The metabolic levels of 3 crucial biomarkers, namely, lysophosphatidylcholine [22 : 6, (4Z, 7Z, 10Z, 13Z, 16Z, 19Z)], 1-linoleoylglycerophosphocholine and 1-palmitoyl-Sn-glycero-3-phosphocholine, that were correlated with glycerophospholipid metabolism increased and then decreased significantly after vaccarin treatment. Molecular docking analysis and osteoclasts differentiation experiment further revealed that vaccarin may bind with phospholipase A2 and downregulated its activity to reduce the osteoclastogenesis. Therefore, the occurrence of osteoporosis is closely related with glycerophospholipid metabolism disorders, and vaccarin exerts antiosteoporosis effects by reducing the levels of glycerophospholipid metabolites.

Serum metabolomics reveals the intervention mechanism and compatible regularity of Chaihu Shu Gan San on chronic unpredictable mild stress-induced depression rat model.

OBJECTIVES: To provide a comprehensive study of the intervention mechanism and compatible regularity of Chaihu Shu Gan San (CSGS) in a chronic unpredictable mild stress (CUMS)-induced depression model. METHODS: Ethological study and ELISA assay were applied to measure the phenotypes of depression after CUMS stimulate and assess the antidepressant activity of fluoxetine, CSGS and its compatibilities. The serum metabolic profile changes were revealed by untargeted Q/TOF MS-based metabolomics followed by multivariate statistical analysis. KEY FINDINGS: CSGS exhibits an significant intervention effect on CUMS-induced depression. After the multivariate statistical analysis, 17 potential serum biomarkers were identified and 16 of them could be regulated by CSGS. The intervention of CSGS on CUMS-induced depression involved five key pathways. Moreover, each functional unit (monarch, minister, assistant and guide medicine) in CSGS regulates different metabolites and metabolic pathways to achieve different effects on antidepressant; however, their intervention efficacies are inferior to the holistic formula, which may be due to the synergism of bioactive ingredients in the seven herbs of CSGS. CONCLUSIONS: CSGS produced an obvious antidepressant activity. The comprehensive and holistic metabolomics approach could be a powerful tool to study the intervention mechanism and the compatibility rule of traditional Chinese medicine.

Dynamic urinary metabolomics analysis based on UHPLC-Q-TOF/MS to investigate the potential biomarkers of blood stasis syndrome and the effects of Danggui Sini decoction.

Blood stasis syndrome (BSS) is one of the common syndromes in traditional Chinese medicine (TCM). It involves abnormal blood circulation, which can progress to produce many severe diseases. Danggui Sini decoction (DSD) is a classical TCM prescription frequently used to treat BSS by decreasing blood stasis and improving blood circulation. However, understanding of the therapeutic mechanism of DSD during the development of BSS is still limited, as the development of BSS is a slow dynamic process. Therefore, a dynamic urinary metabolomics analysis based on ultra-high-performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry (UHPLC-Q-TOF/MS) combined with multivariate statistical analysis was used to explore the distinctive metabolic patterns of BSS development and the efficacy of DSD. The dynamic changes of endogenous metabolites over time revealed the progression of BSS and allowed the overall efficacy of DSD in rats with BSS to be evaluated. The effects of the DSD compatibilities were also explored. A total of 21 metabolites were identified during the development of BSS. They are involved in the metabolic pathways of tryptophan metabolism, phenylalanine metabolism, riboflavin metabolism, nicotinate and nicotinamide metabolism, pentose and glucuronate interconversions, histidine metabolism, steroid hormone biosynthesis, and starch and sucrose metabolism. A receiver operating characteristic (ROC) curve analysis showed that 10 metabolites with an area under the curve (AUC) value >0.9, which can be used as potential biomarkers for the diagnosis of BSS. In conclusion, a dynamic urinary metabolomics approach was applied to identify potential biomarkers of the development of BSS and to clarify the therapeutic mechanism of DSD in BSS. The results could provide a theoretical basis for further research on the therapeutic mechanism of DSD.

The study of neuroprotective effect of ferulic acid based on cell metabolomics.

Ferulic acid (FA), a naturally derived phenolic compound, has antioxidant and antidepressant-like effects. It is still a challenge to study its mechanism due to the complexity of the pathophysiology of depression. In this study, ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) was used to perform metabolomics studies based on biochemical changes in differentiated rat pheochromocytoma (PC12) cells treated with corticosterone-induced neurological damage after FA treatment. A total of 31 metabolites were identified as potential biomarkers for corticosterone-induced PC12 cells injury. Among them, 24 metabolites were regulated after FA treatment. Pathway analysis revealed that these metabolites were mainly involved in the amino acid metabolism, energy metabolism and glycerophospholipid metabolism. In addition, based on the results of metabolomics, three cell signaling pathways related to glutamate were discovered. To further study the interactions between FA and major targets in three signaling pathways, a molecular docking method was employed. The results showed that FA had the strongest binding power with protein kinase B (AKT). Furthermore, the result of mRNA changes analyzed by quantitative real time RT-PCR indicated that AKT and protein kinase A (PKA) in the signaling pathway were up regulated after treatment with FA compared with model group. This study shows that strategies based on cell metabolomics associated with molecular docking and molecular biology is a helpful tool to elucidate the neuroprotective mechanism of FA.