Objective:To investigate the anti-tumor effect of the Histone Deacetylase 6 (HDAC6) inhibitor ACY-738 and its underlying mechanisms in Diffuse Large B-cell Lymphoma (DLBCL) .Methods:The expression of HDAC6 in various tumors and DLBCL was analyzed using bioinformatics. DLBCL cells were treated with different concentrations of ACY-738. Cell viability, DNA synthesis, and clone formation were assessed by CCK-8 assay, EdU assay, and soft agar assay, respectively. Intracellular reactive oxygen species (ROS) levels were detected by fluorescence microscopy. Morphological changes in cells were observed using transmission electron microscopy (TEM). Mitochondrial ROS levels and apoptosis were measured by flow cytometry. The expression levels of apoptosis-related and autophagy-related proteins were detected by Western blotting.Results:HDAC6 was highly expressed in DLBCL ( P<0.05). ACY-738 inhibited the proliferation, DNA synthesis, and colony formation of DLBCL cells in a dose-dependent manner ( P<0.05). Treatment with ACY-738 increased intracellular and mitochondrial ROS levels in DLBCL cells in a dose-dependent manner ( P<0.05). TEM revealed that after ACY-738 treatment, mitochondria in cells were swollen and ruptured, mitochondrial cristae were reduced or absent, autolysosomes appeared, and features characteristic of apoptosis were observed. Western blotting showed that after ACY-738 treatment, the expression of the anti-apoptotic protein BCL-2 was downregulated, while the expression of Cleaved-PARP, Cleaved caspase-3, and BAX was upregulated ( P<0.05). The expression of autophagy-related proteins Atg7, Atg3, LC3B, and P62 was downregulated, and the expression of acetylated P53 protein was upregulated ( P<0.05) . Conclusion:The HDAC6 inhibitor ACY-738 induces mitochondria-dependent apoptosis and autophagy in DLBCL cells by acetylating P53, thereby inhibiting DLBCL cell proliferation.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective: To analyze the spatio-temporal distribution of pulmonary tuberculosis (PTB) among students in Suzhou City, Jiangsu Province from 2015 to 2023, so as to provide the evidence for the prevention and control of PTB in schools. Methods: Data of PTB cases among students in Suzhou City from 2015 to 2023 were collected from Chinese Disease Prevention and Control Information System and Suzhou Report of Investigation and Disposal of Tuberculosis in Schools. The seasonal incidence of PTB among students was analyzed using seasonal index (SI). The spatio-temporal clustering characteristics of PTB among students were analyzed using spatial autocorrelation and retrospective spatio-temporal permutation scanning. Results: Totally 1 374 PTB cases among students were reported in Suzhou City from 2015 to 2023. PTB cases were reported in each month, and the SIs were 100.69%, 124.38%, 108.98%, 135.04%, 106.61% and 106.61% in April, May, July, September, October and November, respectively, indicating the prevalence of PTB among students. Spatial autocorrelation analysis showed there was a positive spatial correlation of PTB among students in 2019 and 2020 (Moran's I=0.053 and 0.089, both P<0.05). From 2015 to 2023, there were high-high clustering sites mainly in Hengtang Street and Shishan Street. Retrospective spatio-temporal permutation scanning showed a primary cluster in Hengtang Street, with aggregation time in 2017, and 6 secondary clusters covering 25 towns (streets). Conclusion From 2015 to 2023, the PTB cases among students in Suzhou City were mainly concentrated in summer and autumn, and were predominantly clustered in Hengtang Street and Shishan Street.

Objective: To understand the association of physical exercise willingness and insomnia with depressive symptoms among college students, so as to provide reference for improving depressive symptoms of college students. Methods: From October 2022 to April 2023, cluster sampling was used to recruit 11 101 college students from four colleges in Anhui Province. The questionnaire survey was conducted to investigate the willingness to engage in physical exercise, insomnia and depressive symptoms of college students. The multivariate Logistic regression model was used to analyze the association of physical exercise willingness and insomnia with depressive symptoms of college students. Results: The prevalence of depressive symptoms among college students was 9.24%. Multivariate Logistic regression analysis showed that college students who were passive participants/non participants in physical activity, or who experienced insomnia, had a higher likelihood of depressive symptoms compared to those who were active participants or did not experience insomnia ( OR =1.84, 2.07, 4.02, all P <0.01). College students who were passive participants or non participants in physical activity and concurrently experienced insomnia had a higher risk of depressive symptoms compared with those who were active participants or did not experience insomnia ( OR =1.87-8.39, all P <0.01). Gender stratified analysis showed that the combined effect of passive physical exercise and insomnia increased the risk of depressive symptoms in both male ( OR = 1.81 -9.87) and female college students ( OR =1.67-7.39) (all P <0.05). Conclusions Both physical exercise willingness and insomnia are associated with depressive symptoms in college students. In order to improve the depressive symptoms of college students, it is necessary to improve the enthusiasm of physical exercise and strengthen the education of sleep health awareness.

Objective To analyze the effects of different gender,gestational age,birth weight and blood collection date on the value of 17-hydroxyprogesterone(17-OHP)in neonatal screening for congenital adrenal hyperplasia(CAH)and to develop a positive cut-off for CAH screening that is appropriate for the laboratory itself.Methods Time-resolved fluorescence immunoassay was used to detect 17-OHP concentration,and Mann-Whitney U test and Kruskal-Wallis H test were used to compare 17-OHP concentration of newborns with the different gender,birth weight,gestational age and blood collection age.The comparison of rates was conducted using the multi-set rate chi-square test and Fisher's exact probability method.The relationship between the clinical features and 17-OHP concentration was analyzed by multiple linear regression,and the cut-off value of 17-OHP screening was 99.5％percentile.Results The 17-OHP concentration of male neonates was higher than that of female neonates,and the difference was statistically significant(Z=-17.768,P<0.05).The 17-OHP concentration of neonates in groups with different gestational age,different birth weight,and different blood collection days were compared respectively,and the difference was statistically significant(χ2=5 235.187、3 682.665、493.414 respectively,P=0.00).Further pair comparison showed that there were statistically significant differences in 17-OHP concentration of neonates at different gestational weeks,gestational age and blood collection days(P<0.05),except that age of blood collection≥3 and<4 days and≥4 and<7 days(Z=-0.950,P=0.342).Neonatal 17-OHP concentration decreased with the gestational age and birth weight increase.There were statistically significant differences in the initial screening positive rate and screening positive rate of 17-OHP among different gestational ages and different birth weights groups(P<0.05),and they decreased with the increase of gestational age,birth weight and age at the time of blood collection.The results of multiple linear regression showed that 17-OHP concentration was related to the several factors,including the gestational age,birth weight,age of blood collection and gender in descending order.Conclusion The effects of various factors on the concentration of 17-OHP in neonatal peripheral blood should be comprehensively considered.The cut-off value of 17-OHP for CAH screening in the Screening Center for Neonatal Genetic Metabolic Diseases in the First Affiliated Hospital of Kunming Medical University is modified to≥14.00 nmol/L for full-term neonates of normal weight and≥36.00 nmol/L for premature or/and low-weight neonates so as to improve the specificity of neonatal CAH screening and reduce the false positives.

Abstract Kidney stones are common and frequently occurring diseases in urology. In recent years, the incidence of urinary stones has increased year by year, affecting people′s quality of life and aggravating the social and economic burden. The occurrence and development of kidney stones are closely related to metabolic factors. This review mainly conducts a systematic overview of the research on the relationship between electrolyte metabolism abnormalities, dyslipidemias and other metabolic disorder diseases and kidney stones in recent years.By exploring the relationship between various metabolic disorder diseases and kidney stones, this review provides reference for exploring the occurrence and development of kidney stones from the perspective of metabolism.

Clamshell incision is widely used in the surgical resection of complex mediastinal tumors, but it is also controversial. Its advantages are the full exposure of the field of vision and the huge operating space, while its disadvantages are the destruction of chest wall muscles and respiratory function impairment. At present, there is a lack of norms for the selection and application of Clamshell incisions, and the definition of complex mediastinal tumors is ambiguous and the dimensions are single. Therefore, this article reviews the literature and combines practical experience to systematically summarize the application progress of Clamshell incisions in the surgical resection of complex mediastinal tumors, with the aim of providing guidance for clinical work.

Objective:To examine the influence of physical function status on supportive care needs (SCNS) in patients with primary liver cancer (PLC) and to explore the mediating roles of perceived social support and anxiety-depression, with the aim of providing evidence for nursing interventions to improve patients' care experience.Methods:A convenience sampling method was used to select PLC inpatients admitted to The First Affiliated Hospital of Jinan University between December 2022 and February 2024. Data were collected using a general information questionnaire, the 34-item Supportive Care Needs Survey-Short Form, the Hospital Anxiety and Depression Scale, the Perceived Social Support Scale, and the Karnofsky Performance Status Scale to conduct a cross-sectional survey. Pearson correlation analysis was performed to examine associations among SCNS, perceived social support, anxiety-depression, and physical function status. Structural equation modeling was used to assess the mediating effects of perceived social support and anxiety-depression on the relationship between physical function status and SCNS.Results:A total of 304 patients were enrolled, including 260 males and 44 females, 31 cases aged 18-40 years old, 160 cases aged 41 to 60 years old, and 113 cases over 60 years old. The mean total SCNS score was (98.32 ± 21.75) points, the mean anxiety-depression score was (23.31 ± 9.64) points, the mean perceived social support score was (56.62 ± 13.05) points, and the mean physical function status score was (66.28 ± 12.31) points. Pearson correlation analysis showed that physical function status was negatively correlated with SCNS and anxiety-depression ( r =-0.509, -0.447; both P<0.05) and positively correlated with perceived social support ( r =0.439, P<0.05). Physical function status had a direct effect of 60.74% on SCNS, with specific mediating effects of perceived social support and anxiety-depression accounting for 23.15% and 11.85%, respectively, and a chain mediating effect of 4.26%. Conclusions:Patients with PLC exhibited a moderately high level of supportive care needs. Physical function status not only exerted a direct negative effect on SCNS but also indirectly influenced SCNS through the chain mediation of perceived social support and anxiety-depression. Clinical medical staff should focus on enhancing patients' perception of social support and effectively alleviating anxiety and depressive symptoms, thereby reducing supportive care needs to some extent.

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.

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.