Objective To explore the changing trend in the disease burden of gout in China from 1990 to 2021, and analyze the incidence, prevalence, and disability-adjusted life years (DALYs) by age and gender, with comparisons to global patterns, and to predict the disease burden of gout in China in 2030. Methods Data from the Global Burden of Disease (GBD) database were used to analyze changes in gout burden. Joinpoint regression was used to estimate the average annual percentage change (AAPC) with 95% confidence intervals (CIs). Comparative analyses were conducted on data from China and the world, and an ARIMA model was used to project China's gout burden in 2030. Results From 1990 to 2021, China's age-standardized incidence rate (ASIR) rose from 122.52 to 151.61/100,000, exceeding the global rise from 93.09 to 109.07/100,000. The age-standardized prevalence rate (ASPR) in China increased from 640.67/100,000 to 810.35/100,000, compared to a global rise from 536.54/100,000 to 653.81/100,000. The age-standardized DALYs rate (ASDR) in China increased from 20.2/100,000 to 25.43/100,000, surpassing the global increase from 16.67/100,000 to 20.21/100,000. AAPCs for ASIR, ASPR, and ASDR in China were 0.70%, 0.77%, and 0.75%, respectively, all higher than global rates. Middle-aged and elderly men faced the highest burden. It was predicted that there will be a decline in China's ASIR and ASPR by 2030, while ASDR will remain stable. Conclusion The disease burden of gout in China has increased significantly, outpacing global trends. Targeted interventions for hyperuricemia, particularly in elderly men, are crucial to reduce the future disease burden.

Breast cancer is the most prevalent malignant tumor that poses a threat to women's health in China,with incidence and mortality rates persistently increasing.Given this critical situation,there is an urgent need to optimize therapeutic options through basic translational research to address current treatment challenges.This article provided a comprehensive overview of the significant advancements in fundamental translational breast cancer research in China over the past five years,aiming to provide a scientific basis and new directions for precision treatment of breast cancer.This research encompasses a range of subjects,including molecular typing,biomarker identification,exploration of drug resistance mechanisms,optimization of precision treatment strategies,and identification of new targets in breast cancer.In the domain of molecular typing,researchers have revealed substantial disparities in treatment responses among distinct subtypes of breast cancer through in-depth analysis.This has led to the proposal of specific therapeutic strategies for each subtype,thereby establishing a robust theoretical foundation for individualized treatment approaches.The identification of biomarkers plays a pivotal role in selecting appropriate treatment options for patients.Recent research advancements have demonstrated the potential of liquid biopsy and proteomics technologies in uncovering promising biomarkers,offering novel prospects for the early diagnosis and prognostic assessment of breast cancer.In the investigation of resistance mechanisms,researchers have elucidated the molecular underpinnings of resistance to endocrine therapy and human epidermal growth factor receptor 2(HER2)-targeted therapy and proposed potential strategies to overcome resistance.This has paved the way for novel approaches to enhance therapeutic efficacy.In the context of immunotherapy and targeted therapies,the discernment of novel targets and biomarkers has facilitated novel perspectives on breast cancer treatment.Based on advanced comprehension of tumor heterogeneity,researchers constantly optimize precision treatment strategies through multiomics analysis,thus offering patients with breast cancer enhanced personalized treatment options.Concurrently,the implementation of novel technologies has been instrumental in facilitating the advancement of precision treatment for breast cancer.For instance,the application of artificial intelligence technology has demonstrated considerable potential in the early screening,diagnosis,efficacy assessment and prognosis prediction of breast cancer.Conversely,the advent of innovative drug delivery systems facilitated by nanotechnology has led to enhanced targeting and efficacy of pharmaceutical agents.Furthermore,research into hydrogel patch technology and tumor vaccines has yielded novel strategies for the treatment of breast cancer.Overall,China has accomplished remarkable achievements in the field of basic translational research on breast cancer.These findings not only enhance our understanding of the molecular mechanisms of breast cancer,but also provide new directions and hope for the development of future therapeutic strategies.With the advancement of multidisciplinary integration and the application of new emerging technologies,precision therapy is expected to provide more benefits to breast cancer patients.

Objective To observe the safety and efficacy of levosimendan in the perioperative pe-riod for patients with pulmonary hypertension associated with valvular heart disease undergoing heart valve replacement surgery.Methods A total of 90 patients with pulmonary hypertension associated with valvular heart disease who underwent valve replacement surgery from April 2023 to May 2024 were enrolled.Based on the use of levosimendan,patients were divided into low-dose group,high-dose group,and control group,with 30 patients in each group.The control group received conventional drug therapy;the low-dose group received one dose of levosimendan from 3 days before surgery to 3 days after surgery combined with conventional drug therapy;the high-dose group received two doses of levosimendan from 3 days before surgery to 3 days after surgery combined with conventional drug therapy.Data on brain natriuretic peptide(BNP),left ventricular ejection fraction(LVEF),left ventricular end-diastolic diameter(LVEDD),creatinine(Cr),mean pulmonary artery pressure(mPAP),PH related to left heart disease(PH-LHD)status,postoperative ICU stay,postoperative hospital stay,and cardiac function classification were collected and recorded at admission and before discharge.Results There were no statistically significant differences in gender,age,and body mass among the control group,low-dose group,and high-dose group(P＞0.05).There was no sta-tistically significant difference in the increase in Cr among the three groups(P＞0.05).There were statistically significant differences in postoperative ICU stay between the control group and the high-dose group,and between the control group and the low-dose group(P=0.017,0.028).However,there was no statistically significant difference in postoperative ICU stay between the low-dose group and the high-dose group(P=0.839).There were statistically significant differences in postopera-tive hospital stay between the control group and the high-dose group,and between the control group and the low-dose group(P=0.001,0.009),but no statistically significant difference was found between the low-dose group and the high-dose group(P=0.463).No serious complications oc-curred in any of three groups,and no patients withdrew from the study.Only one patient in the high-dose group experienced hypotension during the postoperative use of levosimendan,which nor-malized after fluid replacement.There was no statistically significant difference in the decrease in mPAP among the three groups(P＞0.05).There was a statistically significant difference in the de-crease in BNP between the control group and the high-dose group(P=0.025);however,there were no statistically significant differences in the decrease in BNP between the control group and the low-dose group,or between the low-dose group and the high-dose group(P=0.068,0.970).There was a statistically significant difference in the increase in LVEF between the control group and the high-dose group(P=0.019);however,there were no statistically significant differences in the increase in LVEF between the control group and the low-dose group,or between the low-dose group and the high-dose group(P=0.055,0.652).There were statistically significant differences in the decrease in LVEDD between the control group and the low-dose group,and between the control group and the high-dose group(P=0.019,0.033);however,there was no statistically significant difference between the low-dose group and the high-dose group(P=0.829).In the control group,18 patients(60.0％)had clinically effective treatment,22 patients(73.3％)in the low-dose group,and 24 patients(80.0％)in the high-dose group.There was no statistically significant differ-ence in clinical efficacy among the three groups(P=0.220).Conclusion Levosimendan is safe and effective in the perioperative period for patients with pulmonary hypertension associated with valvular heart disease,and high-dose use can more significantly improve LVEF and reduce BNP levels.

Objective To analyze the single nucleotide polymorphism (SNP) and copy number variation (CNV) of cardiac myxoma to find the SNP sites and CNV events that may play important roles in the occurrence of tumors. Methods The patients with myxoma admitted to our hospital from 2015 to 2019 were randomly selected. The SNP analysis and the CNV test in gene level were performed through whole exome sequencing (WES). The samples were divided into two groups according to the mean size of the tumor: a diameter≤5.7 cm group and a diameter>5.7 cm group. The analysis results were compared between the two groups. Results A total of 14 patients were enrolled, including 8 females and 6 males with a mean age of 61.4 (41-79) years. Thirty-seven cancer-genes with SNP were detected, among which 18 mutated sites had a mutation rate of>10%; and TP53, EP300 and CREBBP played a core binding role in protein-protein interaction-network. The GO enrichment results showed significant differences in the regulation of cell secretion of the mutated genes, and the KEGG enrichment results showed significant differences in the PI3K-AKT and JAK-STAT signaling pathways in the occurrence of myxoma. In addition, 17 new mutation sites of tumor genes with high mutation effect were found in SNP detection. The WES results of 14 samples showed that the CNV events were detected in 120 tumor genes of the samples, 10 of which were included in two tumor databases. The GO enrichment results showed significant differences in the tube development and regulation of cell proliferation, and the KEGG enrichment results showed significant differences in the comprehensive tumor signaling pathway. Statistical differences of ERCC6L and INTS6L in CNV test were found (P=0.030). Conclusion There may be multiple tumor gene site mutations in the process of tumor generation, among which there are multiple core tumor genes such as TP53, EP300 and CREBBP, regulating tumor cells through PI3K-AKT and JAK-STAT signaling pathways and playing an important role in tumor generation. The CNV of ERCC6L and INTS6L genes may be related to tumor growth.

Objective:To detect the expression of autophagy-related genes (ATGs) involved in the late stage of autophagy in peripheral blood mononuclear cells (PBMCs) of patients with ankylosing spondylitis (AS), analyze the difference and explore its possible clinical significance.Methods:① Peripheral blood specimens and clinical data were collected from 90 AS patients (AS group) who attended the outpatient clinic of the Department of Rheumatology and Immunology of the Affiliated Hospital of North Sichuan Medical College from March 2022 to August 2023, among which 30 patients were treated with secukinumab monoclonal antibody for 24 weeks (the treatment group), and clinical data and peripheral blood specimens from 45 healthy individuals (the HC group) who had medical checkups in the Affiliated Hospital of Chuanbei Medical College during the same period were used as the control group. As the control group, the mRNA expression levels of six ATGs (ATG5, ATG7, LC3-Ⅱ, ATG4B, ATG2A, ATG10) involved in the late autophagy stage were detected in PBMCs of peripheral blood specimens by RT-qPCR, and were compared among different groups, and the measured data conformed to the normal distribution were analyzed using the paired t-test, and the abnormal distribution date were analyzed using the Wilcoxon signed-rank test. Wilcoxon signed-rank test was used for measurement data, and Spearman correlation analysis was used for correlation analysis. ② Receiver operating curve (ROC) was used to verify the difference in the expression of ATGs in the late stage of autophagy between AS group and HC group to evaluate its value in the diagnosis of AS and the inflammatory state of the disease. Results:① Compared with the HC group, ATG2A [2.00(1.10, 2.70)×10 -3, 7.50(4.60, 10.0)×10 -3, Z=-6.67, P<0.001], ATG5 [3.60 (2.30, 5.30)×10 -3, 7.20(5.50, 9.20)×10 -3, Z=-3.63, P=0.001], LC3Ⅱ[25.70(8.50, 35.00)×10 -3, 52.20(45.00, 69.10)×10 -3, Z=-5.87, P<0.001] and ATG7[5.50(3.20, 8.10)×10 -3, 8.30(5.20, 9.80)×10 -3, Z=-2.38, P=0.017] the mRNA expressions were significantly decreased in the AS group. ②ATG5 mRNA expression was negatively correlated with platelet count ( r=-0.35, P=0.008), LC3-Ⅱ was negatively correlated with estimated glomerular filtration rate ( r=-0.33, P=0.017), ATG7 was positively correlated with absolute basophil count ( r=0.33, P=0.011),ATG10 was negatively correlated with estimated glomerular filtration rate and C-reactive protein (CRP) was negatively correlated ( r=-0.30, P=0.032). ③ The area under the ROC curve (AUC) of ATG2A mRNA expression level for predicting AS was 0.910, and the sensitivity and specificity were 94.6% and 83.8% respectively. ④ After 24 weeks of treatment with secukinumab, the mRNA expression levels of ATG2A[2.00(1.20, 2.90)×10 -3, 4.90(0.10, 7.40)×10 -3, Z=-3.75, P<0.001] and LC3-Ⅱ[2.00(1.20, 2.90)×10 -3, 4.90(0.10, 7.40)×10 -3, Z=-3.75, P<0.001]were elevated in the AS patients. Conclusion:Late autophagy-related genes ATG2A, ATG5, LC3II, ATG7 may be involved in AS development.The AUC of ATG2A in AS is 0.91, suggesting that ATG2a is expected to be a biological indicator for early diagnosis of AS. Secukinumab may be involved in the regulation of autophagy by affecting the expression of late autophagy genes, but the specific mechanism needs to be further explored.

Dental implantology has developed rapidly for over half a century,since pure titanium(99.7％)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95％.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.

In recent years,the autologous platelet concentrates have increasingly been used in the field of periodontal tissue regenera-tion.To furnish insights that may aid in their clinical application,this article offers a comprehensive review of the evolution of autolo-gous platelet concentrates,encompassing their properties,mechanisms,and utilization in the periodontal regeneration of both soft and hard tissues.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

Breast cancer is the most prevalent malignant tumor that poses a threat to women's health in China,with incidence and mortality rates persistently increasing.Given this critical situation,there is an urgent need to optimize therapeutic options through basic translational research to address current treatment challenges.This article provided a comprehensive overview of the significant advancements in fundamental translational breast cancer research in China over the past five years,aiming to provide a scientific basis and new directions for precision treatment of breast cancer.This research encompasses a range of subjects,including molecular typing,biomarker identification,exploration of drug resistance mechanisms,optimization of precision treatment strategies,and identification of new targets in breast cancer.In the domain of molecular typing,researchers have revealed substantial disparities in treatment responses among distinct subtypes of breast cancer through in-depth analysis.This has led to the proposal of specific therapeutic strategies for each subtype,thereby establishing a robust theoretical foundation for individualized treatment approaches.The identification of biomarkers plays a pivotal role in selecting appropriate treatment options for patients.Recent research advancements have demonstrated the potential of liquid biopsy and proteomics technologies in uncovering promising biomarkers,offering novel prospects for the early diagnosis and prognostic assessment of breast cancer.In the investigation of resistance mechanisms,researchers have elucidated the molecular underpinnings of resistance to endocrine therapy and human epidermal growth factor receptor 2(HER2)-targeted therapy and proposed potential strategies to overcome resistance.This has paved the way for novel approaches to enhance therapeutic efficacy.In the context of immunotherapy and targeted therapies,the discernment of novel targets and biomarkers has facilitated novel perspectives on breast cancer treatment.Based on advanced comprehension of tumor heterogeneity,researchers constantly optimize precision treatment strategies through multiomics analysis,thus offering patients with breast cancer enhanced personalized treatment options.Concurrently,the implementation of novel technologies has been instrumental in facilitating the advancement of precision treatment for breast cancer.For instance,the application of artificial intelligence technology has demonstrated considerable potential in the early screening,diagnosis,efficacy assessment and prognosis prediction of breast cancer.Conversely,the advent of innovative drug delivery systems facilitated by nanotechnology has led to enhanced targeting and efficacy of pharmaceutical agents.Furthermore,research into hydrogel patch technology and tumor vaccines has yielded novel strategies for the treatment of breast cancer.Overall,China has accomplished remarkable achievements in the field of basic translational research on breast cancer.These findings not only enhance our understanding of the molecular mechanisms of breast cancer,but also provide new directions and hope for the development of future therapeutic strategies.With the advancement of multidisciplinary integration and the application of new emerging technologies,precision therapy is expected to provide more benefits to breast cancer patients.

In recent years,the autologous platelet concentrates have increasingly been used in the field of periodontal tissue regenera-tion.To furnish insights that may aid in their clinical application,this article offers a comprehensive review of the evolution of autolo-gous platelet concentrates,encompassing their properties,mechanisms,and utilization in the periodontal regeneration of both soft and hard tissues.