Objective:Analyze the risk factors for acute lung injury of postoperative acute lung injury(ALI)in patients with Stanford type A aortic dissection(STAAD),and construct a nomogram predictive model.Methods:A retrospective cohort study design was adopted.A total of 112 patients with STAAD who underwent surgical treatment in our hopital from January 2021 to August 2024 were included.They were divided into two groups according to the occurrence of ALI after the surgical:non-ALI group(73 cases)and ALI group(39 cases).Clinical data were collected from both groups of patients.The influencing factors of postoperative ALI in patients with STAAD were analyzed by multivariate logistic regression.Established nomogram prediction model based on influencing factors and validated.Results:Among 112 patients with STAAD who underwent surgical treatment,39 case postoperative ALI occurred,with an incidence rate of 34.82％.Age,preoperative creatinine,body mass index(BMI),preoperative white blood cell count,preoperative lactate and other aspects compared,The difference were statistically significant(P＜0.05).The length of stay in the intensive care unit(ICU)of the ALI group was longer than that of the non ALI group(P＜0.05).The intraoperative red blood cell transfusion volume and extracorporeal circulation time in the ALI group were higher than those in the non ALI group(P＜0.05).Long intraoperative cardiopulmonary bypass time,high BMI,high intraoperative red blood cell transfusion volume and high preoperative white blood cell count were risk factors for postoperative ALI(P＜0.05).The receiver operating characteristic(ROC)curve analysis results show that,the Area under the curve(AUC)of the nomogram prediction model was 0.871.When the optimal critical value was 0.472,its sensitivity and specificity wew 0.887 and 0.776,respectively.The internal validation results of Bootstrap show that,the C-index of the column chart prediction model was 0.862,with an absolute error of 0.032.The calibration curve is close to the ideal curve and the original curve,with a slope close to 1.Conclusions:Long intraoperative cardiopulmonary bypass time,high BMI,high intraoperative red blood cell transfusion volume and high preoperative white blood cell count are independent risk factors for postoperative ALI in patients with STAAD.The nomogram model constructed based on the above risk factors can effectively evaluate the risk of postoperative ALI in patients with STAAD.

Objective:Analyze the risk factors for acute lung injury of postoperative acute lung injury(ALI)in patients with Stanford type A aortic dissection(STAAD),and construct a nomogram predictive model.Methods:A retrospective cohort study design was adopted.A total of 112 patients with STAAD who underwent surgical treatment in our hopital from January 2021 to August 2024 were included.They were divided into two groups according to the occurrence of ALI after the surgical:non-ALI group(73 cases)and ALI group(39 cases).Clinical data were collected from both groups of patients.The influencing factors of postoperative ALI in patients with STAAD were analyzed by multivariate logistic regression.Established nomogram prediction model based on influencing factors and validated.Results:Among 112 patients with STAAD who underwent surgical treatment,39 case postoperative ALI occurred,with an incidence rate of 34.82％.Age,preoperative creatinine,body mass index(BMI),preoperative white blood cell count,preoperative lactate and other aspects compared,The difference were statistically significant(P＜0.05).The length of stay in the intensive care unit(ICU)of the ALI group was longer than that of the non ALI group(P＜0.05).The intraoperative red blood cell transfusion volume and extracorporeal circulation time in the ALI group were higher than those in the non ALI group(P＜0.05).Long intraoperative cardiopulmonary bypass time,high BMI,high intraoperative red blood cell transfusion volume and high preoperative white blood cell count were risk factors for postoperative ALI(P＜0.05).The receiver operating characteristic(ROC)curve analysis results show that,the Area under the curve(AUC)of the nomogram prediction model was 0.871.When the optimal critical value was 0.472,its sensitivity and specificity wew 0.887 and 0.776,respectively.The internal validation results of Bootstrap show that,the C-index of the column chart prediction model was 0.862,with an absolute error of 0.032.The calibration curve is close to the ideal curve and the original curve,with a slope close to 1.Conclusions:Long intraoperative cardiopulmonary bypass time,high BMI,high intraoperative red blood cell transfusion volume and high preoperative white blood cell count are independent risk factors for postoperative ALI in patients with STAAD.The nomogram model constructed based on the above risk factors can effectively evaluate the risk of postoperative ALI in patients with STAAD.

OBJECTIVE: To evaluate the feasibility and tolerability of metoprolol standard dosing pathway (MSDP) in Chinese patients with acute coronary syndrome (ACS). METHODS: In this multicenter, prospective, open label, single-arm and interventional study that was conducted from February 2018 to April 2019 in fifteen Chinese hospitals. A total of 998 hospitalized patients aged ≥ 18 years and diagnosed with ACS were included. The MSDP was applied to all eligible ACS patients based on the standard treatment recommended by international guidelines. The primary endpoint was the percentage of patients achieving the target dose at discharge (V2). The secondary endpoints included the heart rate and blood pressure at V2 and four weeks after discharge (V4), and percentage of patients experiencing bradycardia (heart rate < 50 beats/min), hypotension (blood pressure < 90/60 mmHg) and transient cardiac dysfunction at V2 and V4. RESULTS: Of the 998 patients, 29.46% of patients achieved the target dose (≥ 95 mg/d) at V2. The total population was divided into two groups: target group (patients achieving the target dose at V2) and non-target group (patients not achieving the target dose at V2). There was significant difference in the reduction of heart rate from baseline to discharge in the two groups (-4.97 ± 11.90 beats/min vs. -2.70 ± 9.47 beats/min, P = 0.034). There was no significant difference in the proportion of bradycardia that occurred in the two groups at V2 (0 vs. 0, P = 1.000) and V4 (0.81% vs. 0.33%, P = 0.715). There was no significant difference in the proportion of hypotension between the two groups at V2 (0.004% vs. 0.004%, P = 1.000) and V4 (0 vs. 0.005%, P = 0.560). No transient cardiac dysfunction occurred in two groups during the study. A total of five adverse events (1.70%) and one serious adverse event (0.34%) were related to the pathway in target group. CONCLUSIONS In Chinese ACS patients, the feasibility and tolerability of the MSDP have been proved to be acceptable.

Malignant tumors are major diseases that endanger human health. Due to their complex and variable microenvironment, most anti-tumor drugs cannot precisely reach the focal tissue and be released in a controlled manner. Intelligent responsive nano carriers have become a hot spot in the field of anti-tumor drug delivery systems. As an excellent nano material, mesoporous silica has the advantages of non-toxic, stable, adjustable pore volume and pore diameter, and easy functional modification on the surface. By virtue of its perceptive response to the tumor microenvironment or physiological changes, it can achieve the targeted drug release or controlled drug release of the drug delivery system in the tissue, making it an ideal carrier for intelligent response drug delivery system. In this paper, we review the design strategies and current research status of smart responsive anti-tumor drug delivery systems based on mesoporous silica, in order to provide a reference for the development of anti-tumor drug nanoformulations.

Background and Objectives: Osteoblasts are derived from bone marrow mesenchymal stem cells (BMMSCs) and playimportant role in bone remodeling. While our previous studies have investigated the cell subtypes and heterogeneity in osteoblasts and BMMSCs separately, cell-to-cell communications between osteoblasts and BMMSCs in vivo in humans have not been characterized. The aim of this study was to investigate the cellular communication between human primary osteoblasts and bone marrow mesenchymal stem cells. Methods: and Results: To investigate the cell-to-cell communications between osteoblasts and BMMSCs and identifynew cell subtypes, we performed a systematic integration analysis with our single-cell RNA sequencing (scRNA-seq) transcriptomes data from BMMSCs and osteoblasts. We successfully identified a novel preosteoblasts subtype which highly expressed ATF3, CCL2, CXCL2 and IRF1. Biological functional annotations of the transcriptomes suggested that the novel preosteoblasts subtype may inhibit osteoblasts differentiation, maintain cells to a less differentiated status and recruit osteoclasts. Ligand-receptor interaction analysis showed strong interaction between mature osteoblasts and BMMSCs. Meanwhile, we found FZD1 was highly expressed in BMMSCs of osteogenic differentiation direction. WIF1 and SFRP4, which were highly expressed in mature osteoblasts were reported to inhibit osteogenic differentiation. We speculated that WIF1 and sFRP4 expressed in mature osteoblasts inhibited the binding of FZD1 to Wnt ligand in BMMSCs, thereby further inhibiting osteogenic differentiation of BMMSCs. Conclusions Our study provided a more systematic and comprehensive understanding of the heterogeneity of osteogenic cells. At the single cell level, this study provided insights into the cell-to-cell communications between BMMSCs and osteoblasts and mature osteoblasts may mediate negative feedback regulation of osteogenesis process.

BACKGROUND: To illustrate the research framework, overall knowledge structure, and development trends of Chinese medicine (CM) treatment for osteosarcoma (OS) by using a bibliometric analysis and newly developed visualization tools. METHODS: Research datasets were acquired from the Web of Science (WOS) database from January 1, 1980 to September 30, 2019. VOS viewer and Citespace software was used to analyze the data and generate visualization knowledge maps. Annual trends of publications, distribution of institutes, distribution of journals, citation and H-index status, co-authorship status, research hotspots and co-citation status were analyzed. RESULTS: A total of 223 publications in the WOS database met the requirement. The number of published articles showed a rise but the citation frequency and the H-index of China were relatively low. The cooperation between the countries, institutes and authors were relatively weak. Most publications were basic researches. Most of the previous researches focused on basic mechanisms of CM in treating OS, and therapy and improvement of dosage form may become a frontier in this research field. CONCLUSIONS Compared with other fields, the field of CM treatment for osteosarcome is still in infancy. The distribution of researches is imbalanced and cooperation between countries, institutions and authors remains to be strengthened. Furthermore, basic research occupies an absolute dominant position, and the exploration of the molecular mechanism of CM in preventing and treating OS may become a key point in the future.
Bibliometrics ; China ; Humans ; Medicine, Chinese Traditional ; Osteosarcoma/therapy* ; Publications

OBJECTIVE Corona-virus disease 2019 (COVID-19) is an infectious disease caused by SARS-CoV-2 virus. The variant of corona-virus first identified in India, known as Delta, has become the dominant strain in China. Unfortunately, more conta-gious and unknown variants are coming, leading to a number of close contacts under quarantine. Chinese medicine (TCM) has been recommended to prevention and treatment due to the satisfactory therapeutic effects. However, the effect of TCM to decrease positive rate in close contacts remains unknown. METHODS We conducted an retrospective cohort study in Yangzhou, China to assess the effect of Chinese medicine on decreasing positive rate in close contacts under quarantine. The primary observation outcome was positive rate of Nucleic Acid Amplification Tests (NAATs). The secondary observation outcome was a composite of viral load of positive NAATs, severity levels of confirmed cases (asymptomatic, mild, moderate, or severe), daily body temperature, and levels of close contact (primary or secondary). RESULTS A total of 1286 subjects were collected, of which 1016 (79.00％) in TCM group and 270 (21.00％) in control group with 55 participants tested positive. The incidence of the primary outcome, positive rate of NAATs was significantly lower in the Chinese medicine group than in the control group, occurring in male and age≥60 years subjects. Multi-varia-ble logistic regression (excluding NO viral load) indicated that the risk of testing positive was reduced by 0.547 times in TCM groupcompared to control group. CT value of TCM group was higher than that of control group in all subjects and female subjects, and the re-sult showed statistically significant difference. CONCLUSIONS In our study involving close contacts under quarantine, Chinese medicine resulted in lower positive rate of NAATs and viral load than control.

Objective:To study the protective effect of Ficus pandurata extract on acute alcoholic liver injury based on pyroptosis mechanism.Method:The 56 male C57BL/6 mice were randomly divided into normal control group， model control group， positive control group（60 mg·kg^-1）， fresh medicine water extract group（48 g·kg^-1）， dry drug water extract group（48 g·kg^-1），dry drug 50% alcohol extract group（48 g·kg^-1） and dry drug 95% alcohol extract group （48 g·kg^-1）， 8 mice in each group.Positive control and different solvent extract groups of Ficus tenuifolia were intragastrically administrated for 18 days，once a day，while normal group and model group were given the same volume of pure water intragastrically. After 15 days of continuous gavage， mice received 50％ ethanol（12 mL·kg^-1）intragastrically for 3 days to induce acute alcoholic liver injury model except for the normal control group. At 14 h after the last treatment，serum and liver samples were obtained，the serum content of alanine aminotransferase （ALT） and aspartate transaminase（AST） were determined， the histopathologic changes of the hepatic tissues were observed by hematoxylin ecosin（HE） staining.The content of malondialdehyde (MDA) in liver was determined by thiobarbituric acid (TBA) and the content of lactate dehydrogenase (LDH) was determined by microplate method. Western blot and TUNEL assay kit was used to detect the cell pyroptosis rate.Result:Compared with normal group， ALT， AST， MDA and LDH levels in the model group were significantly increased， liver index was significantly increased，TUNEL staining positive， inflammatory factors and pyroptosis related protein expressions were significantly increased （P<0.05）. Compared with model control group， the ALT，AST ，MDA and LDH of the drug intervention group decreased significantly （P<0.05）. The liver index decreased in different degrees， and the expression of inflammatory factors and pyroptosis related protein in the water extract treatment group decreased significantly （P<0.05）.Conclusion:The root extract of Ficus pandurata Hance has protective effect on acute alcoholic liver injury， and the mechanism of water extract might relate to inhibiting hepatocyte pyroptosis.