A hybrid unsupervised clustering method for predicting the risk of dental implant loss.

OBJECTIVES: The aim of this study was to predict the risk of dental implant loss by clustering features associated with implant survival rates. MATERIALS AND METHODS: Multiple clinical features from 8513 patients who underwent single implant placement were retrospectively analysed. A hybrid method integrating unsupervised learning algorithms with survival analysis was employed for data mining. Two-step cluster, univariate Cox regression, and Kaplan‒Meier survival analyses were performed to identify the clustering features associated with implant survival rates. To predict the risk of dental implant loss, nomograms were constructed on the basis of time-stratified multivariate Cox regression. RESULTS: Six clusters with distinct features and prognoses were identified using two-step cluster analysis and Kaplan‒Meier survival analysis. Compared with the other clusters, only one cluster presented significantly lower implant survival rates, and six specific clustering features within this cluster were identified as high-risk factors, including age, smoking history, implant diameter, implant length, implant position, and surgical procedure. Nomograms were created to assess the impact of the six high-risk factors on implant loss for three periods: 1) 0-120 days, 2) 120-310 days, and 3) more than 310 days after implant placement. The concordance indices of the models were 0.642, 0.781, and 0.715, respectively. CONCLUSIONS: The hybrid unsupervised clustering method, which clusters and identifies high-risk clinical features associated with implant loss without relying on predefined labels or target variables, represents an effective approach for developing a visual model for predicting implant prognosis. However, further validation with a multimodal, multicentre, prospective cohort is needed. CLINICAL SIGNIFICANCE: Visual prognosis prediction utilizing this nomogram that predicts the risk of implant loss on the basis of clustering features can assist dentists in preoperative assessments and clinical decision-making, potentially improving dental implant prognosis.

Brusatol induces ferroptosis in oesophageal squamous cell carcinoma by repressing GSH synthesis and increasing the labile iron pool via inhibition of the NRF2 pathway.

Brusatol (Bru), a bioactive compound found in Brucea sumatrana, exerts antitumour effects on several malignancies. However, the role and molecular mechanism of Bru in squamous cell carcinoma of the oesophagus (ESCC) remain unclear. Here, we found that Bru decreased the survival of ESCC cells. Subsequently, the ferroptosis inhibitors, deferoxamine and liproxstatin-1, rescued Bru-induced cell death, indicating that ferroptosis plays a major role in Bru-induced cell death. Furthermore, Bru promoted lipid peroxidation, glutathione (GSH) depletion, and ferrous iron overload in vitro. Consistent with these in vitro results, Bru significantly inhibited tumour growth in KYSE150 xenograft nude mice by triggering ferroptosis. Mechanistically, nuclear factor E2-related factor 2 (NRF2) inactivation via increased ubiquitin-proteasome degradation was found to be a vital determinant of ferroptosis induced by Bru. Notably, Bru significantly decreases GSH synthesis, iron storage, and efflux by downregulating the expression of NRF2 target genes (glutamate-cysteine ligase catalytic subunit (GCLC), solute carrier family 7 member 11 (SLC7A11), ferritin heavy chain 1 (FTH1), and solute carrier family 40 member 1 (SLC40A1)), resulting in the accumulation of lethal lipid-based reactive oxygen species (ROS) and intracellular enrichment of chelated iron. Taken together, our findings indicate that ferroptosis is a novel mechanism underlying Bru-induced antitumour activity and will hopefully provide a valuable compound for ESCC treatment.

Review of the Chemical Composition and Biological Activities of Essential Oils from Artemisia Argyi, Artemisia Princeps, and Artemisia Montana.

BACKGROUND: Artemisia argyi Lévl. et Van., Artemisia princeps Pamp., and Artemisia montana Pamp., which are the sources of mugwort, have been popular across East Asian countries for nearly 2000 years now. Essential oils are the major chemical component obtained from them, exhibiting a variety of biological activities. OBJECTIVE: This review mainly focuses on the chemical composition and biological activities of A. argyi essential oil (AAEO), A. princeps essential oil (APEO), and A. montana essential oil (AMEO), with a special focus on their common and specific characteristics. The traditional use, distribution, and botany of A. argyi, A. princeps, and A. montana have also been summarized. In addition, the pharmacokinetics of AAEO was involved. METHODS: We collected literature from online and offline databases by entering the following keywords: mugwort, wormwood, A. argyi, A. princeps, A. montana, essential oil, and volatile oil. No language limitation was present in our search. RESULTS: A. argyi, A. princeps, and A. montana were used as traditional medicine, food, and health care products for a long time in Asia. They are widely distributed in most parts of China, Korea, and Japan. AAEO, APEO, and AMEO composed of monoterpenes, sesquiterpenes and their derivatives, alkanes, olefins, etc. Most of the specific compounds of AAEO were monoterpenoids, nearly half of the specific compounds of APEO were aliphatic hydrocarbons, and the sesquiterpenes were the typical specific compounds of AMEO. The mugwort essential oil showed multiple biological activities, such as anti-microbial, anti-inflammatory, antioxidant, antitumor, anticoagulation, sedative, and insecticide. CONCLUSION: The present review provided insight into the chemical composition and biological activity of AAEO, APEO, and AMEO. The comprehensive literature showed that they possessed wide application prospects in various fields. However, they should be studied in more depth. The underlying bioactive mechanisms should be elucidated and their toxicity and quality control should be determined.

Predicting the risk of dental implant loss using deep learning.

AIM: To investigate the feasibility of predicting dental implant loss risk with deep learning (DL) based on preoperative cone-beam computed tomography. MATERIALS AND METHODS: Six hundred and three patients who underwent implant surgery (279 high-risk patients who did and 324 low-risk patients who did not experience implant loss within 5 years) between January 2012 and January 2020 were enrolled. Three models, a logistic regression clinical model (CM) based on clinical features, a DL model based on radiography features, and an integrated model (IM) developed by combining CM with DL, were developed to predict the 5-year implant loss risk. The area under the receiver operating characteristic curve (AUC) was used to evaluate the model performance. Time to implant loss was considered for both groups, and Kaplan-Meier curves were created and compared by the log-rank test. RESULTS: The IM exhibited the best performance in predicting implant loss risk (AUC = 0.90, 95% confidence interval [CI] 0.84-0.95), followed by the DL model (AUC = 0.87, 95% CI 0.80-0.92) and the CM (AUC = 0.72, 95% CI 0.63-0.79). CONCLUSIONS: Our study offers preliminary evidence that both the DL model and the IM performed well in predicting implant fate within 5 years and thus may greatly facilitate implant practitioners in assessing preoperative risks.

Study of Saponin Components after Biotransformation of Dioscorea nipponica by Endophytic Fungi C39.

This study conducted the solid fermentation process of Dioscorea nipponica using endophytic fungi C39 to determine the changes in the diosgenin concentration. The results revealed that endophytic fungi C39 could effectively biotransform the saponin components in D. nipponica. Moreover, the maximum increase in the diosgenin concentration reached 62.67% in 15 days of solid fermentation. MTT assay results demonstrated that the inhibitory effects of the fermentation drugs on four types of cancer cells (liver cancer cells (HepG2), stomach cancer cells (BGC823), cervical cancer cells (HeLa), and lung cancer cells (A549)) were better than those of the crude drugs obtained from D. nipponica. The chemical composition of the samples obtained before and after the biotransformation of D. nipponica was analyzed by UPLC-Q-TOF-MS. A total of 32 compounds were identified, 21 of which have been reported in Dioscorea saponins and the ChemSpider database and 11 compounds were identified for the first time in D. nipponica. The biotransformation process was inferred based on the variation trend of saponins, which included transformation pathways pertaining to glycolytic metabolism, ring closure reaction, dehydrogenation, and carbonylation. The cumulative findings provide the basis for the rapid qualitative analysis of the saponin components of D. nipponica before and after biotransformation. The 11 metabolites obtained from biotransformation are potential active ingredients obtained from D. nipponica, which can be used to further identify pharmacodynamically active substances.

Association Between Chronic Periodontal Disease and Erectile Dysfunction: A Case-Control Study.

Erectile dysfunction (ED) and chronic periodontal disease (CPD) share mutual risk factors, and the incidence of ED is increasing among young adults. The relation of CPD and ED remains obscure due to inconsistent clinical evidence. This study aimed to further assess the relationship between CPD and ED using the Community Periodontal Index of Treatment Need (CPITN) and the International Index of Erectile Function (IIEF). Totally, 202 adult men were included, with 100 subjects with ED in the case group and 102 subjects without ED undergoing routine dental examinations in the control group. The IIEF questionnaire was used to assess the severity of ED, and CPD was assessed through the Community Periodontal Index (CPI) score. Periodontal assessments were performed by one single calibrated examiner. Logistic regression analysis was performed for the association between CPD and ED. After adjustment for age, smoking status, tooth brushing time, education level, monthly income, tooth brushing frequency, and gum bleeding, higher CPI score was identified to be associated with a greater risk of ED (odds ratio [OR] = 2.755, 95% confidence interval [CI] = [1.400, 5.423], p = .003), suggesting that CPD was positively associated with the odds of ED. CPD was getting more severe with the progress of ED (p < .05). Men with ED could be encouraged to receive routine dental examinations and appropriate preventive dental measures to maintain oral and periodontal health.

Studies on biotransformation mechanism of Fusarium sp. C39 to enhance saponin content of Paridis Rhizoma.

Paridis Rhizoma is a natural medicine with strong anti-tumor and anti-inflammatory activities. Our previous research have found that Fusarium sp. C39, an endophytic fungus isolated from Dioscorea nipponica which contains the similar chemical components, significantly increased the steroidal saponins content of Paridis Rhizoma by fermentation. In this study, the inhibitory effects of fermentated Paridis Rhizoma extract (PRE) on liver cancer cells (Hepal-6), cervical cancer cells (Hela), and lung cancer cells (A549) were determined to be stronger than that of the unfermented extract. For discovering the fermentation mechanism of PRE with Fusarium sp. C39, 36 components with obviously quantitative variations were screened out by UPLC-Q/TOF-MS and 53 key genes involved in the metabolic pathways of steroidal saponins were identified by transcriptome. On the basis of comprehensively analyzing information from the metabonomics and transcriptome, it can be speculated that the increase of spirostanol saponins and nuatigenin-type saponins enhanced the inhibitory effect of fermented PRE on cancer cell proliferation. Under the action of glycosidase, glycosyltransferase, oxidoreductases, and genes involved in sterol synthesis, strain C39 achieved the synthesis of diosgenin and the alteration of configurations, sugar chain and substituent of steroidal saponins. The research suggested a microbial transformation approach to increase the resource utilization and activity of Paris polyphylla.

Folic acid targets splenic extramedullary hemopoiesis to attenuate carbon black-induced coagulation-thrombosis potential.

Due to its wide applications in tire and rubber products, carbon black (CB) implicates concerns on its safety during production, collection, and handling. Here we report that exposure CB, increases coagulation-thrombosis potential in a splenic extramedullary hemopoiesis (EMH)-dependent manner. Adult C57BL/6 mice are kept in whole-body inhalation chambers, and exposed to filtered room air (FRA) or CB for 28 consecutive days. CB exposure resulted in splenic EMH characterized with platelet precursor cells, megakaryocytes (MKs), hyperplasia and enhanced in vivo blood coagulation ability. Metabolomics analysis suggests significant enhance in PGE2 production but reduction in folic acid (FA) levels in murine serum following CB exposure. Mechanistically, activation of COX-dependent PGE2 production promotes IL-6 expression in splenic macrophages, which subsequently results in splenic EMH and increased platelet counts in circulation. Administration of FA protects the mice against CB-induced splenic EMH through inhibiting prostaglandin-endoperoxide synthase 2 (Ptgs2 or Cox2) and prostaglandin E synthase (Ptges) expression in splenic macrophages, eventually recover the coagulation capacity to normal level. The results strongly suggest the involvement of splenic EMH in response to CB exposure and subsequently increased coagulation-thrombosis potential. Supplementation with FA may be a candidate to prevent thrombosis potential attributable to CB exposure.

Immunoregulatory mechanism studies of ginseng leaves on lung cancer based on network pharmacology and molecular docking.

Panax ginseng is one of the oldest and most generally prescribed herbs in Eastern traditional medicine to treat diseases. Several studies had documented that ginseng leaves have anti-oxidative, anti-inflammatory, and anticancer properties similar to those of ginseng root. The aim of this research was to forecast of the molecular mechanism of ginseng leaves on lung cancer by molecular docking and network pharmacology so as to decipher ginseng leaves' entire mechanism. The compounds associated with ginseng leaves were searched by TCMSP. TCMSP and Swiss Target Prediction databases were used to sort out the potential targets of the main chemical components. Targets were collected from OMIM, PharmGKB, TTD, DrugBank and GeneCards which related to immunity and lung cancer. Ginseng leaves exert its lung cancer suppressive function by regulating the several signaling proteins, such as JUN, STAT3, AKT1, TNF, MAPK1, TP53. GO and KEGG analyses indicated that the immunoreaction against lung cancer by ginseng leaves might be related to response to lipopolysaccharide, response to oxidative stress, PI3K-Akt, MAPK and TNF pathway. Molecular docking analysis demonstrated that hydrogen bonding was interaction's core forms. The results of CCK8 test and qRT-PCR showed that ginseng leaves inhibit cell proliferation and regulates AKT1 and P53 expression in A549. The present study clarifies the mechanism of Ginseng leaves against lung cancer and provides evidence to support its clinical use.

Increased risk of periodontitis occurrence in patients with rheumatoid arthritis and its association with the levels of IL-1ß and TNF-α in gingival crevicular fluid.

BACKGROUND: Periodontitis (PD) is a chronic inflammatory disease caused by infection of the periodontal supporting tissues. Clinical studies have reported that rheumatoid arthritis (RA) patients have a higher prevalence of PD. This study aimed to explore the correlation between RA and PD. METHODS: A total of 307 RA patients (RA group) and 324 healthy individuals (control group) who received physical examinations during the same period were recruited to this study. The incidence of PD in the two groups was analyzed, and the periodontal disease index (PDI) and bleeding on probing (BOP) were recorded. Then, 42 RA patients with PD and 56 control group patients with PD were selected for further analysis. Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of interleukin 1ß (IL-1ß) and tumor necrosis factor-α (TNF-α) in the gingival crevicular fluid (GCF) of the two groups. For patients with both RA and PD, the level of serum C-reactive protein (CRP) and the duration of morning stiffness were also recorded. RESULTS: The prevalence of PD in the RA group (51.5%) was significantly higher than that in the control group (31.2%), and the prevalence of PD also increased notably with the increase of age and the duration of the disease in RA patients. The levels of TNF-α and IL-1ß in the PDI and the GCF in the concurrent RA and PD group were significantly higher than those in the PD group (P<0.05). Partial correlation analysis showed that TNF-α in the GCF positively correlated with the BOP of patients with RA and PD. Multiple linear regression analysis showed that the level of TNF-α in the GCF and serum CRP were independent influencing factors of the level of IL-1ß in the GCF (the r values were 1.074 and 3.851, respectively; P<0.01). CONCLUSIONS: The presence of RA can increase risk of PD occurrence and is positively correlated with the levels of IL-1ß and TNF-α in the GCF.

[1,2-Bis(pyridin-2-ylmeth-oxy)benzene-κN,O,O',N']dichloridocopper(II).

In the title compound, [CuCl(2)(C(18)H(16)N(2)O(2))], the Cu(II) atom lies on a twofold axis and is six-coordinated in a distorted octa-hedral environment defined by two N and two O atoms from the ligand and by two Cl atoms. In the crystal, π-π inter-actions [centroid-centroid distance = 3.838 (1) Å] and C-H⋯Cl hydrogen bonds link adjacent mol-ecules into a chain structure along [101].

[1,2-Bis(pyridin-2-ylmeth-oxy)benzene-κN,O,O',N']bis-(nitrato-κO)cobalt(II).

In the title compound, [Co(NO(3))(2)(C(18)H(16)N(2)O(2))], the Co(II) ion is six-coordinated in a distorted octa-hedral environment defined by two O and two N atoms from the ligand and by two O atoms from two nitrate anions. A two-dimensional network parallel to the ab plane is built up by C-H⋯O hydrogen bonds, which link adjacent mol-ecules in the crystal structure.