Objective: To fabricate a hydrogel loaded with inositol hexaphosphate-zinc and preliminarily evaluate its performance in self-mineralization and osteoinduction, thereby providing a theoretical basis for the development of bone regeneration materials. Methods: The hydrogel framework (designated DF0) was formed by copolymerizing methacryloyloxyethyltrimethylammonium chloride and four-armed poly(ethylene glycol) acrylate, followed by sequentially loading inositol hexaphosphate anions via electrostatic interaction and zinc ions via chelation. The hydrogel loaded only with inositol hexaphosphate anions was named DF1, while the co-loaded hydrogel was named DF2. The self-mineralization efficacy of the DF0 , DF1 and DF2 hydrogels was characterized using scanning electron microscopy, transmission electron microscopy (TEM), energy dispersive spectroscopy (EDS), and selected area electron diffraction (SAED). The biocompatibility was assessed via live/dead cell staining and a CCK-8 assay. The osteoinductive capacity of the DF0 , DF1 and DF2 hydrogels on MC3T3-E1 cells was assessed via alkaline phosphatase (ALP) and Alizarin Red S (ARS) staining. In the aforementioned cell experiments, cells cultured in standard medium served as the control group Results: The DF0, DF1, and DF2 hydrogels were successfully synthesized. Notably, DF1 and DF2 exhibited distinct self-mineralization within 6 days. Results from TEM, EDS, and SAED confirmed that the mineralization products were amorphous calcium phosphate in group DF1, and amorphous calciumzinc phosphate in group DF2. Biocompatibility tests revealed that none of the hydrogels (DF0, DF1, and DF2) adversely affected cell viability or proliferation. In osteogenic induction experiments, both ALP and ARS staining were intensified in the DF1 and DF2 groups, with the most profound staining observed in the DF2 group. Conclusion The developed inositol hexaphosphate-zinc hydrogel (DF2) demonstrates the dual capacity to generate calcium-phosphate compounds through self-mineralization while exhibiting excellent osteoinductive properties. This biocompatible, dual-promoting osteogenic hydrogel presents a novel strategy for bone regeneration.

Eucommiae Cortex, the dried bark of Eucommia ulmoides( Eucommiaceae), has both medicinal and edible values.Modern research has shown that Eucommiae Cortex contains various components such as flavonoids, lignans, iridoids, phenolic acids,terpenoids, and steroids, which have anti-osteoporosis, antioxidant, anti-inflammatory, blood glucose-lowering, and gastrointestinal tract-protecting effects. Eucommiae Cortex has applications in multiple fields such as healthcare, industry, and animal husbandry,demonstrating broad development prospects. This article reviews the chemical constituents, pharmacological effects, and quality control status of Eucommiae Cortex. Furthermore, according to the concept of quality marker(Q-marker), this article predicts the Q-markers of Eucommiae Cortex from traditional medicinal properties, traditional medicinal effects, new medicinal effects, measurability of chemical components, compatibility, harvesting periods, and geographical origins. The components such as pinoresinol diglucoside,chlorogenic acid, caffeic acid, quercetin, baicalein, baicalin, olivil, coniferyl ferulate, and kaempferol can be used as Q-markers for Eucommiae Cortex, which provide reference for establishing a systematic quality control system for Eucommiae Cortex.
Eucommiaceae/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Quality Control ; Humans ; Animals

BACKGROUND: Early control of low-density lipoprotein cholesterol (LDL-C) is crucial for reducing the progress of cardiovascular disease. However, its additional role to the risk of primary osteoporosis in men with coronary heart disease was inconclusive. Our study aims to determine the association of LDL-C and its trajectories for osteoporosis risk in the middle-aged and aged men of China. METHODS: The retrospective cohort study of 1546 men aged 69.74 ± 11.30 years conducted in Beijing, China from 2015 to 2022. And the incidence of primary osteoporosis was annually recorded. LDL-C trajectories were further identified by latent class growth model using repeated measurements of LDL-C. The association of baseline LDL-C for osteoporosis was estimated using hazard ratio (HR) with 95% CI in Cox proportional hazard model, while mean level and trajectories of LDL-C for osteoporosis were evaluated using odds ratio (OR) with 95% CI in logistic regression model. RESULTS: During the median 6.2-year follow-up period, 70 men developed primary osteoporosis. The higher level of baseline LDL-C (HR = 1.539, 95% CI: 1.012-2.342) and mean LDL-C (OR = 2.190, 95% CI: 1.443-3.324) were associated with higher risk of osteoporosis in men with coronary heart disease after adjusted for covariates. Compared with those in the LDL-C trajectory of low-stable decrease, participants with medium-fluctuant trajectory, whose longitudinal LDL-C started with a medium LDL-C level and appeared an increase and then decrease, were negatively associated with osteoporosis risk (OR = 2.451, 95% CI: 1.152-5.216). And participants with initially high LDL-C level and then a rapid decrease demonstrated a tendency towards reduced risk (OR = 0.718, 95% CI: 0.212-2.437). CONCLUSIONS Elevated LDL-C level and its long-term fluctuation may increase the risk of primary osteoporosis in men. Early controlling a stable level of LDL-C is also essential for bone health.

Objective To investigate the characteristics of gut flora related to dampness syndrome in the population at risk of cerebrovascular disease and to explore their influencing factors.Methods Based on the results of epidemiological investigation of damp syndrome in at-risk population of cerebrovascular disease in Guangdong from October 2021 to February 2023,60 subjects(including 41 at-risk cases of cerebrovascular disease and 19 healthy controls)were included in the study.The identification of dampness syndrome and the risk rating of stroke were carried out for the subjects,and fecal samples were collected.High-throughput 16S rRNA sequencing technology and bioinformatics methods were used to analyze the characteristics of gut flora.Results(1)A total of 53 cases(88.33％)were identified as dampness syndrome.There was significant difference in the quantitative score of dampness syndrome between the risk group and the healthy group,and between the low-,medium-and high-risk groups(P=0.016;P=0.041).(2)There was no statistical difference in the species and abundance of gut flora between the dampness syndrome group and the non-dampness syndrome group.(3)In the population identified as dampness syndrome,there was no significant difference in Alpha diversity between the healthy group and the risk group,but there was significant difference in Beta diversity analysis;LEfSe analysis found that Fusobacterium and Lactobacillus were enriched in the risk group;correlation analysis showed that the differential bacteria were related to the three risk factors of diabetes,dyslipidemia and obesity and carotid intima-media thickness(IMT).(4)In the population identified as dampness syndrome and having the risk of cerebrovascular disease,there was no significant difference in Alpha diversity among three groups with different levels of risks,while significant difference in Beta diversity was observed;LEfSe analysis showed that Acidaminococcaceae,Phascolarctobacterium and Butyricimonas were enriched in the low-risk group,Veillonellaceae was enriched in the medium-risk group,and Ruminococcus 2 and Alloprevotella were enriched in the high-risk group;correlation analysis showed that the differential bacteria were associated with high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),white blood cell count(WBC),and neutrophil count(NEUT).Conclusion In the Guangdong population predominated by dampness syndrome,the severity of dampness syndrome is related to the risk of stroke,and the specific flora associated with sub-clinical atherosclerosis,inflammatory response and lipid metabolism are presented.

Osteosarcoma is a common primary malignant bone tumor in adolescents and children,characterized by a high recurrence rate and metastasis,making its treatment extremely challenging.Traditional treatment modalities,including surgery,radiation therapy,and chemotherapy,can alleviate symptoms to some extent,but improving long-term survival rates remains a pressing issue.With the continuous development of immunotherapy,breakthroughs have been made in the research of tumor immune microenvironment and the application of immunotherapy in recent years,providing new perspectives and strategies for osteosarcoma treatment.Currently,immunotherapy strategies include tumor vaccines,targeted cytokines,immune checkpoint inhibition,adoptive cell therapy,combination therapy,etc.,significantly enhancing patient immune responses from the aspects of boosting immunity,overcoming immune tolerance,and preventing immune evasion,thereby effectively improving the patients'survival rates and prognosis.This review aims to systematically introduce the immune microenvironment of osteosarcoma and discuss the latest advances in immunotherapy in clinical translational research of osteosarcoma.By deeply understanding the immune characteristics of osteosarcoma and corresponding treatment methods,it is hopeful to provide more effective strategies for personalized treatment,contributing to the improvement of the patients' survival rates and prognosis.

Objective To make an epidemiological investigation on traditional Chinese medicine(TCM)dampness syndrome manifestations in the population at risk of cerebrovascular diseases in Guangdong area.Methods A cross-sectional study was conducted to analyze the clinical data related to the risk of cerebrovascular diseases in 330 Guangdong permanent residents.The diagnosis of dampness syndrome,quantitative scoring of dampness syndrome and rating of the risk of stroke were performed for the investigation of the distribution pattern of dampness syndrome and its influencing factors.Results(1)A total of 306(92.73%)study subjects were diagnosed as dampness syndrome.The percentage of dampness syndrome in the risk group was 93.82%(258/275),which was slightly higher than that of the healthy group(48/55,87.27%),but the difference was not statistically significant(χ2 = 2.91,P = 0.112).The quantitative score of dampness syndrome in the risk group was higher than that of the healthy group,and the difference was statistically significance(Z =-2.24,P = 0.025).(2)Among the study subjects at risk of cerebrovascular disease,evaluation time(χ2 = 26.11,P = 0.001),stroke risk grading(χ2= 8.85,P = 0.031),and history of stroke or transient ischemic attack(TIA)(χ2 = 9.28,P = 0.015)were the factors influencing the grading of dampness syndrome in the population at risk of cerebrovascular disease.Conclusion Dampness syndrome is the common TCM syndrome in the population of Guangdong area.The manifestations of dampness syndrome are more obvious in the population with risk factors of cerebrovascular disease,especially in the population at high risk of stroke,and in the population with a history of stroke or TIA.The assessment and intervention of dampness syndrome should be taken into account for future project of stroke prevention in Guangdong.

Background::Although overnight fasting is recommended prior to endoscopic retrograde cholangiopancreatography (ERCP), the benefits and safety of high-carbohydrate fluid diet (CFD) intake 2 h before ERCP remain unclear. This study aimed to analyze whether high-CFD intake 2 h before ERCP can be safe and accelerate patients’ recovery.Methods::This prospective, multicenter, randomized controlled trial involved 15 tertiary ERCP centers. A total of 1330 patients were randomized into CFD group ( n = 665) and fasting group ( n = 665). The CFD group received 400 mL of maltodextrin orally 2 h before ERCP, while the control group abstained from food/water overnight (>6 h) before ERCP. All ERCP procedures were performed using deep sedation with intravenous propofol. The investigators were blinded but not the patients. The primary outcomes included postoperative fatigue and abdominal pain score, and the secondary outcomes included complications and changes in metabolic indicators. The outcomes were analyzed according to a modified intention-to-treat principle. Results::The post-ERCP fatigue scores were significantly lower at 4 h (4.1 ± 2.6 vs. 4.8 ± 2.8, t = 4.23, P <0.001) and 20 h (2.4 ± 2.1 vs. 3.4 ± 2.4, t= 7.94, P <0.001) in the CFD group, with least-squares mean differences of 0.48 (95% confidence interval [CI]: 0.26–0.71, P <0.001) and 0.76 (95% CI: 0.57–0.95, P <0.001), respectively. The 4-h pain scores (2.1 ± 1.7 vs. 2.2 ± 1.7, t = 2.60, P = 0.009, with a least-squares mean difference of 0.21 [95% CI: 0.05–0.37]) and positive urine ketone levels (7.7% [39/509] vs. 15.4% [82/533], χ2 = 15.13, P <0.001) were lower in the CFD group. The CFD group had significantly less cholangitis (2.1% [13/634] vs. 4.0% [26/658], χ2 = 3.99, P = 0.046) but not pancreatitis (5.5% [35/634] vs. 6.5% [43/658], χ2 = 0.59, P = 0.444). Subgroup analysis revealed that CFD reduced the incidence of complications in patients with native papilla (odds ratio [OR]: 0.61, 95% CI: 0.39–0.95, P = 0.028) in the multivariable models. Conclusion::Ingesting 400 mL of CFD 2 h before ERCP is safe, with a reduction in post-ERCP fatigue, abdominal pain, and cholangitis during recovery.Trail Registration::ClinicalTrials.gov, No. NCT03075280.

Objective:To explore the risk factors of all-cause death in hypertensive patients in the community.Methods:A cohort of 4 049 hypertensive patients who participated in annual health checkups at Xinzhuang Community Health Service Centre of Shanghai Minhang district from January to December 2012 were enrolled in the study. All-cause death was the endpoint event of this study, and patients were divided into a fatal group and a survival group. The collection date for the endpoint event was December 2022. A multivariate Cox regression model was used to analyse the independent risk factors of all-cause mortality among hypertensive patients in the community.Results:Among 4 049 patients aged (67.9±7.1) years, 1 856 (45.8%) were males. There were 610 cases in the fatal group and 3 439 cases in the survival group. Multivariate Cox proportional regression showed that male gender ( HR=1.446, 95% CI: 1.200-1.742, P<0.001), older age ( HR=1.130, 95% CI: 1.118-1.143, P<0.001), higher waist-to-height ratio ( HR=8.117, 95% CI: 2.235-29.481, P=0.001), positive urinary protein ( HR=2.974, 95% CI: 2.202-4.016, P<0.001), high fasting blood glucose ( HR=1.070, 95% CI: 1.012-1.131, P=0.017), and history of stroke ( HR=1.819, 95% CI: 1.414-2.340, P<0.001) were independent risk factors for all-cause mortality in hypertensive patients, while exercise≥1/week ( HR=0.816, 95% CI: 0.668-0.996, P=0.046) and taking lipid-lowering medications ( HR=0.459, 95% CI: 0.223-0.947, P=0.035) were protective factors for all-cause mortality. Conclusion:For hypertensive patients, male gender, older age, higher waist-to-height ratio, positive urinary protein, high fasting blood glucose, and history of stroke are risk factors for all-cause mortality, while exercise≥1/week and taking lipid-lowering medications are protective factors.

OBJECTIVE: To explore the immunological mechanisms underlying spermatogenetic malfunction in patients with non-obstructive azoospermia (NOA) based on bioinformatics and machine learning, and to screen out the key genes associated with spermatogenesis failure. METHODS: NOA-related datasets were obtained from the GEO database, and the differentially expressed genes identified by differential analysis and weighted gene co-expression network analysis (WGCNA). A model of spermatogenesis scoring was established for analysis of the immunological microenvironment and cell interaction networks related to spermatogenesis failure. The key genes were screened out by machine learning, followed by analysis of their correlation with T cells and macrophages. An NOA mouse model was constructed for validation of transcriptome sequencing. RESULTS: Seventy-five differentially expressed genes were identified for the establishment of the spermatogenesis scoring model. The low spermatogenesis score group showed a higher infiltration of the immune cells, with an increased proportion of T cells and macrophages and a correlation of cell interaction signals with immunity. SOX30, KCTD19, ASRGL1 and DRC7 were identified by machine learning as the key genes related to spermatogenesis, with down-regulated expressions in the NOA group, and their expression levels negatively correlated with the infiltration of T cells and macrophages. The accuracy of the spermatogenesis scoring and machine learning models, as well as the trend of the expression levels of the key genes, was successfully validated with the transcriptome sequencing data on the NOA mouse testis. CONCLUSION The development of NOA is closely associated with enhanced immunological microenvironment in the testis. T cells and macrophages may play important roles in spermatogenesis failure. SOX30, KCTD19, ASRGL1 and DRC7 are potential biomarkers for the diagnosis and treatment of NOA.
Male ; Azoospermia/genetics* ; Machine Learning ; Animals ; Computational Biology ; Mice ; Humans ; Spermatogenesis/genetics* ; Gene Expression Profiling ; Macrophages/immunology* ; Gene Regulatory Networks ; T-Lymphocytes/immunology* ; Transcriptome

Objective: To assess the effectiveness of online and offline myopia prevention and control health education interventions using wearable behavior monitoring tools for non myopic elementary school students,so as to provide evidence based medical support for public health practices. Methods: From May to June in 2021, two schools were selected within the same county in Jiangsu Province. School 1 conducted online and offline parental health education ( n =111), while school 2 exclusively conducted offline health education activities, representing the traditional intervention group ( n =122). Students from both schools underwent monitoring through wearable behavior tracking tools, with feedback reports provided (eye distance, eye duration, ambient light, and outdoor exposure time). Both schools relied on activities to carry out health education interventions, and organized the distribution of promotional materials and display boards. The intervention group also established WeChat groups to conduct online "Healthy Parents Action" (answering and providing feedback on health knowledge related to myopia prevention and control, myopia prevention and control, science popularization, etc. raised by parents). Evaluation criteria included myopia rates, post dilation refractive error, and axial length, with a tracking period of two years (from 2021 to 2023). Additionally, the study collected refractive parameters from non myopic students who did not participate in wearable tool monitoring in the 12 classes across the two schools. Results: The baseline results indicated that there were no significant differences between the two groups in terms of refractive parameters and wearable tool monitoring results (including screen time, viewing distance, outdoor exposure time, and homework light exposure)( t/Z/χ 2=1.94,1.17,0.58,0.40,0.80,0.69,0.32, P >0.05). After a two-year follow up, in the first and second year, the myopia rate of the online Healthy Parents Action group (11.4%, 29.7%) were lower than that of the traditional group (26.2%, 50.9%), and the degree of refractive change in the intervention group [0.63(0.38,1.19)D] was lower than that of the traditional group [0.91(0.40,1.50)D], and all the differences were statistically significant( χ 2/ Z =4.93，10.37，2.29， P <0.05). However, there were no significant differences ( P >0.05) in axial length changes between the two groups over the twoyear intervention period. Nevertheless, in the second year, the axial length change in the traditional group [0.35(0.20,0.65)mm] was lower than that in the natural observation group [0.55(0.30,0.75)mm], and this difference was statistically significant ( Z =1.92, P <0.05). Conclusions Online and offline myopia prevention and control health education can effectively reduce myopia rates. The intervention mode combining wearable behavior monitoring tools with online health education may have better effects, but further large sample and multi center studies are needed to provide additional evidence and confirmation.