Recombinant Humanized Collagen Type XVII Promotes Oral Ulcer Healing via Anti-Inflammation and Accelerate Tissue Healing.

Introduction: Recombinant humanized collagen, as a novel biomaterial, exhibits multiple excellent biological functions, such as inhibition of inflammation, promotion of cell proliferation and vascular proliferation, and promotion of tissue healing. However, there is a lack of conclusive evidence regarding the specific role of recombinant humanized collagen type 17 (rhCol 17) in oral ulcer healing. This study explored whether rhCol 17 could promote the proliferation of human gingival fibroblasts (HGFs) and inhibit its inflammation, and whether it could promote the healing of oral ulcers in rats by inhibiting inflammation and accelerating tissue healing. Methods: At the cellular level, we investigated the effect of rhCol 17 on the proliferation of (HGFs) by CCK8; HGFs were mixed with lipopolysaccharide (LPS) to investigate the effect of rhCol 17 on HGFs in an inflammatory state. Eighteen adult male Sprague-Dawley rats were randomly distributed into three groups: blank control group, carbomer group (carbomer sprayed only), and rhCol 17 group (carbomer containing rhCol 17 sprayed), 1 time/day. The samples were collected at D3 and D5. At completion, histological staining and PCR were carried out to study its effect on the healing of oral ulcers in rats. Results: Through cellular experiments, we found that rhCol 17 possesses good biocompatibility and anti-inflammatory properties, and can effectively promote the proliferation and migration of HGFs, as well as significantly reduce the inflammation level of the cells. The animal experimental results showed that rhCol 17 could significantly reduce the inflammation level, promote collagen deposition and angiogenesis at the ulcer site, thus effectively accelerating the healing of oral ulcers in rats. Conclusion: In summary, the collagen sprays containing rhCol 17 have excellent anti-inflammatory effects and could accelerate tissue healing and are expected to provide a new effective treatment for patients with recurrent oral ulcers.

Periodontal disease increases the severity of chronic obstructive pulmonary disease: a Mendelian randomization study.

BACKGROUND: Recent research suggests that periodontitis can increase the risk of chronic obstructive pulmonary disease (COPD). In this study, we performed two-sample Mendelian randomization (MR) and investigated the causal effect of periodontitis (PD) on the genetic prediction of COPD. The study aimed to estimate how exposures affected outcomes. METHODS: Published data from the Gene-Lifestyle Interaction in the Dental Endpoints (GLIDE) Consortium's genome-wide association studies (GWAS) for periodontitis (17,353 cases and 28,210 controls) and COPD (16,488 cases and 169,688 controls) from European ancestry were utilized. This study employed a two-sample MR analysis approach and applied several complementary methods, including weighted median, inverse variance weighted (IVW), and MR-Egger regression. Multivariable Mendelian randomization (MVMR) analysis was further conducted to mitigate the influence of smoking on COPD. RESULTS: We chose five single-nucleotide polymorphisms (SNPs) as instrumental variables for periodontitis. A strong genetically predicted causal link between periodontitis and COPD, that is, periodontitis as an independent risk factor for COPD was detected. PD (OR = 1.102951, 95% CI: 1.005-1.211, p = 0.039) MR-Egger regression and weighted median analysis results were coincident with those of the IVW method. According to the sensitivity analysis, horizontal pleiotropy's effect on causal estimations seemed unlikely. However, reverse MR analysis revealed no significant genetic causal association between COPD and periodontitis. IVW (OR = 1.048 > 1, 95%CI: 0.973-1.128, p = 0.2082) MR Egger (OR = 0.826, 95%CI:0.658-1.037, p = 0.1104) and weighted median (OR = 1.043, 95%CI: 0.941-1.156, p = 0.4239). The results of multivariable Mendelian randomization (MVMR) analysis, after adjusting for the confounding effect of smoking, suggest a potential causal relationship between periodontitis and COPD (P = 0.035). CONCLUSION: In this study, periodontitis was found to be independent of COPD and a significant risk factor, providing new insights into periodontitis-mediated mechanisms underlying COPD development.

Optimization Algorithm of Tourism Security Early Warning Information System Based on Long Short-Term Memory (LSTM).

Tourism safety is the focus of the tourism industry. It is not only related to the safety of tourists' lives and property, but also related to social stability and sustainable development of the tourism industry. However, the security early warning of many scenic spots focuses on the response measures and remedial plans after the occurrence of security incidents, and the staff of many scenic spots have limited security awareness and information analysis ability, which is prone to lag in information release, and do not pay attention to the information of potential security problems. Therefore, this paper studies the optimization algorithm of the tourism security early warning information system based on the LSTM model and uses the recurrent neural network and LSTM to improve the processing and prediction ability of time-series data. The experimental results show that the number of three hidden layers in the tourism security early warning information system based on the LSTM model can reduce the training time of the model and improve the performance. Compared with the tourism safety early warning information system based on the BP neural network, it has better accuracy and stability, has better processing and prediction ability for time series data, and can monitor and analyze data scientifically in real-time and dynamically analyze data.