Periodontitis, a chronic inflammatory disease caused by plaque biofilm, is characterized by the irreversible pathological destruction of periodontal supporting tissues, including gums, periodontal membranes, alveolar bone, and cementum, resulting in tooth loosening and dislocation in severe cases. Currently, research on the pathogenesis, early diagnosis, and treatment of periodontitis is limited. Circular RNAs (circRNAs), previously considered “splicing noise”, have gained increasing research attention with the development of high-throughput sequencing technologies and bioinformatics. CircRNAs are non-coding RNAs lacking a 5' cap and 3' poly(A) tail, with a unique covalently closed ring structure, high expression, long half-life, and resistance to nuclease degradation, which can regulate splicing, encode proteins, and act as microRNA and RNA-binding protein sponges. In recent years, circRNAs have been reported to be involved in the occurrence and development of periodontitis, suggesting its potential role as a therapeutic target for periodontitis treatment. In this study, we described the biological function of circRNAs and their role in the development of periodontitis and the regulation of periodontal homeostasis and immune microenvironment. We found that circRNAs affect periodontal homeostasis and immune microenvironment by regulating the apoptosis of periodontal tissue cells (such as periodontal ligament stem cells and gingival fibroblasts) and regulating immune cells or cytokines, respectively. This review article summarizes the latest research progress on the association between circRNAs and periodontitis to provide a scientific basis for the development of novel diagnostic, therapeutic, and prognostic strategies for periodontitis.

Periodontitis is a chronic inflammatory disease caused by plaque microorganisms, which is the main cause of tooth loss in adults in China. Due to the complexity of periodontitis, their pathogenesis is still unclear. Ferroptosis is a form of iron-dependent regulation of cell death, which affects the function of glutathione peroxidase (GPX4) in the cell through different signaling pathways, thus decreasing antioxidant capacity, accumulation of reactive oxygen species and lipid peroxidation, eventually causing cell and tissue damage. Recent studies have found that iron overload, oxidative stress and lipid peroxidation are closely related to the occurrence and development of periodontitis. This article reviews the characteristics of ferroptosis and the relationship between ferroptosis and inflammatory diseases, especially periodontitis, to provide new ideas for the diagnosis, treatment, and prognosis evaluation of periodontitis. ferroptosis is mainly manifested as the disruption of the body's redox homeostasis, decreased antioxidant capacity, activation of damage related molecular patterns, release of pro-inflammatory mediators, and induction or exacerbation of inflammation. Iron dependent oxidative stress and lipid peroxidation are simultaneously involved in the regulation of ferroptosis and inflammatory diseases. Pathogenic bacteria of periodontitis can induce ferroptosis of periodontal ligament stem cells, thereby activating the release of inflammatory factors such as interleukin-17, tumor necrosis factor alpha, and hypoxia inducible factor-1 alpha, exacerbating periodontitis; In addition, inflammatory factors activated by ferroptosis play an important role in alveolar bone homeostasis, and ferroptosis is involved in the process of lipopolysaccharide induced inflammation of gingival fibroblasts. Future research can focus on exploring the molecular mechanisms and therapeutic targets of ferroptosis in periodontitis, providing new strategies for the prevention and treatment of periodontal disease.

Objective This study aimed to explore the relationships between residential greenness and cardiometabolic risk factors among rural adults in Xinjiang Uygur Autonomous Region(Xinjiang)and thus provide a theoretical basis and data support for improving the health of residents in this region. Methods We recruited 9,723 adult rural residents from the 51st Regiment of the Third Division of the Xinjiang Production and Construction Corps in September 2016.The normalized difference vegetation index(NDVI)was used to estimate residential greenness.The generalized linear mixed model(GLMM)was used to examine the association between residential greenness and cardiometabolic risk factors. Results Higher residential greenness was associated with lower cardiometabolic risk factor prevalence.After adjustments were made for age,sex,education,and marital status,for each interquartile range(IQR)increase of NDVI500-m,the risk of hypertension was reduced by 10.3%(OR=0.897,95%CI=0.836-0.962),the risk of obesity by 20.5%(OR=0.795,95%CI=0.695-0.910),the risk of type 2 diabetes by 15.1%(OR=0.849,95%CI=0.740-0.974),and the risk of dyslipidemia by 10.5%(OR=0.895,95%CI=0.825-0.971).Risk factor aggregation was reduced by 20.4%(OR=0.796,95%CI=0.716-0.885)for the same.Stratified analysis showed that NDVI500-m was associated more strongly with hypertension,dyslipidemia,and risk factor aggregation among male participants.The association of NDVI500-m with type 2 diabetes was stronger among participants with a higher education level.PM10 and physical activity mediated 1.9%-9.2%of the associations between NDVI500-m and obesity,dyslipidemia,and risk factor aggregation. Conclusion Higher residential greenness has a protective effect against cardiometabolic risk factors among rural residents in Xinjiang.Increasing the area of green space around residences is an effective measure to reduce the burden of cardiometabolic-related diseases among rural residents in Xinjiang.

Objective:To develop and validate gas chromatographic methods for the determination of residual benzene in carbomer copolymer,carbomer homopolymer and carbomer interpolymer,to address the issues of the current method in the Chinese Pharmacopoeia in the actual detection process,such as low sensitivity and poor repeatability of benzene detection in the mixed reference solution,and to optimize and improve the current stand-ards for series of carbomer pharmaceutical excipients.Methods:Samples were separated on a column DB-624(30 m ×0.530 mm,3.00 μm)with temperature programming,the inlet temperature of 140 ℃,the detector tem-perature of 250 ℃,and the split ratio of 5∶1.The external standard method was adopted for the quantitative deter-mination of residual benzene.Results:The linearity was great across the range of 0.04-1.00 μg·mL-1(r=0.996 8),the injection precision of benzene was 6.8％(n=6),and the average recovery rate was 96.89％(RSD=8.1％,n=9).Conclusion:The gas chromatographic method established in this research is more specif-ic,with higher accuracy and precision compared to the current method in the Chinese Pharmacopoeia.This optimized method is more suitable for the determination of residual benzene content in carbomer copolymer,car-bomer homopolymer and carbomer interpolymer,providing reference and guidance for the quality management and the control of carbomer.

Objective:To investigate the changing trends in cardiac function following xenogeneic heterotopic heart transplantation of multi-gene edited pig hearts and assess the impact of recipient immune responses on donor heart, laying experimental groundwork for the clinical application of gene editing technology.Methods:On December 16, 2023, xenogeneic heterotopic heart transplantation was performed between pigs and rhesus monkeys. Functional status of the graft under post-transplantation load conditions and recipient immune indicators were observed.Results:The recipient monkeys survived for 40 days with satisfactory functionality of both donor and recipient hearts, and no hyperacute or acute immune rejection reactions were observed.Conclusion:Multi-gene editing technology provides potential for xenotransplantation, yet further exploration is needed for its clinical application.

ObjectiveTo analyze the effect of physical activity on executive function of children and adolescents, and sort out the related factors. MethodsArticles about physical activity intervention for children and adolescents on executive function were retrieved from CNKI, Wanfang Data, Google Scholar, Wiley Online Library and PubMed, from January 1st, 2010 to June 30th, 2021. The articles were screened, evaluated and systematically reviewed. ResultsA total of 21 articles were included, from eleven countries, including 13 randomized controlled trials, involving 2 496 subjects, aged five to 18 years. The articles were published from 2010 to 2019, with mean score of Physiotherapy Evidence Database scale as 5.57. The physical activity intervention mainly involved physical fitness, skills and sport games, with low to high intensity, eight to 120 minutes a time, one to five times a week, no more than ten months. Physical activity was indicated to improve the executive function, specifically inhibition control, working memory and cognitive flexibility, such as the improvement of the accuracy and reaction time of cognitive tasks, and activation of bilateral prefrontal cortex activity. Types, intensity, duration, frequency and cycle of physical activity, participant selection, and assessment tools were related to the effect of intervention. ConclusionPhysical activity can improve the inhibition control, working memory and cognitive flexibility of children and adolescents. The main factors related to the intervention effect are the physical activity elements, the participant's factors and the experimental design factors.

Humans ; Amyotrophic Lateral Sclerosis/drug therapy* ; Benzofurans/therapeutic use* ; Double-Blind Method ; Treatment Outcome

Objective:To evaluate the clinical application potential of a novel prostate specific membrane antigen (PSMA) targeted PET tracer 68Ga-PSMA-NYM032 in patients diagnosed initially with prostate cancer. Methods:A total of 63 patients (age (68.7±8.7) years) with suspected prostate cancers who received 68Ga-PSMA-NYM032 PET/CT imaging in Affiliated Hospital of Jiangnan University between March 2022 and January 2023 were enrolled prospectively. The diagnostic efficiency of 68Ga-PSMA-NYM032 PET/CT imaging was evaluated in a patient-centered manner. The ROI was drawn to obtain SUV max by semi-quantitative analysis with visual analysis, and the diagnostic threshold of SUV max was obtained by ROC curve analysis. The correlations of SUV max in primary foci with total prostate specific antigen (tPSA) and Gleason score (GS) were analyzed by Spearman rank correlation analysis. Based on the D′Amico risk stratification (prostate specific antigen (PSA)>20 μg/L and ≤20 μg/L, GS>7 and ≤7), the detection rates of metastases by 68Ga-PSMA-NYM032 PET/CT imaging in different stratifications were analyzed by Fisher exact test, and the differences between SUV max of metastases in different stratifications were determined by Mann-Whitney U test. Results:The accuracy of 68Ga-PSMA-NYM032 PET/CT imaging was 92.06%(58/63), the sensitivity was 96.55%(28/29), the specificity was 88.24%(30/34), the positive predictive value was 87.50%(28/32), the negative predictive value was 96.77%(30/31), and the optimal SUV max threshold was 6.9. 68Ga-PSMA-NYM032 showed varying degrees of high uptake in the primary foci of prostate cancer, and SUV max were positively correlated with tPSA and GS ( rs values: 0.657, 0.592, P values: <0.001, 0.001). Stratified analysis showed a statistically significant difference in the detection rate of bone metastases by 68Ga-PSMA-NYM032 PET/CT between the GS>7 and GS≤7 subgroups (9/17 vs 1/12; P=0.019), while no statistical significances were observed in the detection rates of bone metastases or lymph node metastases of another subgroups (all P>0.05). In addition, none of the differences in SUV max of metastases in patients with different stratifications were statistically significant ( z value: from -1.57 to -0.50, all P>0.05). Conclusions:68Ga-PSMA-NYM032 PET/CT imaging has good diagnostic efficacy for prostate cancer, and it may provide a new strategy for the precise diagnosis and treatment of prostate cancer. Besides, GS stratification may affect the detection rate of bone metastases by 68Ga-PSMA-NYM032 PET/CT imaging.

Objective To explore the predictive markers of senescence-associated secretory phenotype(SASP)in osteoarthritis(OA).Methods OA datasets were screened by the Gene Expression Omnibus(GEO)database,while SASP-related genes were collected by PubMed.Three machine learning algorithms,including least absolute shrinkage and selection operator(LASSO),support vector machines recursive feature elimination(SVM-RFE),and random forest(RF),were used to screen the candidate predictive markers of SASP genes in OA,and the OA prediction model was constructed using the overlapping genes identified by the machine learning algo-rithms.CIBERSORT was used to explore the degree of peripheral blood immune cell infiltration in OA versus normal samples.The miRNA-transcription factor-mRNA regulatory network of the model genes was predicted using Cytoscape.The most valuable genes of the predic-tion model were experimentally verified by real-time quantitative polymerase chain reaction(RT-qPCR)in OA rats and normal control rats(n= 6 per group).Results One OA dataset was screened by the GEO database,and 125 OA-related SASP genes were isolated.A total of seven intersection genes were obtained by the three machine learning algorithms.The area under the curve of the prediction model was 0.891.The CIBERSORT immune infiltration results showed a significant difference in plasma cell infiltration level between OA and normal samples(P= 0.001 3).The RT-qPCR results showed that the expression level of TNFRSF1Awas significantly higher in the OA versus normal group(P<0.0001).Conclusion TNFRSF1Ais highly expressed in OA and may be a potential predictive marker for it.

For the quality control of cetomacrogol 1000, a gas chromatographic method for the determination of residual impurities in cetomacrogol 1000, such as ethylene oxide, 1, 4-dioxane, ethylene glycol, diethylene glycol and triethylene glycol, was established and validated.The DB-1 column with headspace injection was used to detect ethylene oxide and 1, 4-dioxane with the inlet temperature of 150 °C, the FID temperature of 250 °C, the headspace equilibration temperature of 70 °C and the equilibration time of 45 min.The VF-17MS column with liquid injection was used to detect ethylene glycol, diethylene glycol and triethylene glycol with the inlet temperature of 270 °C, and the FID temperature of 290 °C.The results showed that ethylene oxide and 1,4-dioxane have a good linearity within their specified addition amount ranges (r > 0.999), with the RSD of precision of below 8.0% and the average recovery rates of 90.6% and 101.2%; and that ethylene glycol, diethylene glycol and triethylene glycol also have a good linearity between 3 ? 60 μg/mL (r > 0.999), with the RSD of precision of below 3.0%, and the recovery rates of 96% ~ 103%.The method established in this study has good specificity, linearity, precision and recovery rate, which can effectively detect the multi-component and trace impurities.