Objective To analyze the effect of releasing the lower pulmonary ligament on right residual lung expansion after right upper lobe resection under different body mass index (BMI) levels. Methods The clinical data of patients who underwent thoracoscopic right upper lobe resection in the First Affiliated Hospital with Nanjing Medical University from 2021 to 2022 were retrospectively analyzed. Patients were divided into a group A (17 kg/m2＜BMI≤23 kg/m2), a group B (23 kg/m2＜BMI≤29 kg/m2) and a group C (BMI＞29 kg/m2) according to BMI. The presence of residual cavity was judged by chest X-ray at 7-10 days after operation, the degree of compensation change of the right main bronchus angle was measured, and the changes in lung volume were determined by CT three-dimensional reconstruction. Results A total of 157 patients who underwent thoracoscopic right upper lobe resection were included, including 71 males and 86 females, with an average age of (59.7±11.2) years. There were 50 patients in the group A, 75 patients in the group B, and 32 patients in the group C. In the group A, compared with those without releasing the lower pulmonary ligament, patients with releasing had a lower incidence of postoperative residual cavity (P=0.016), greater changes in bronchus angle (P<0.001), and smaller changes in lung volume (P<0.001). In the group B and C, there was no significant effect of releasing the lower pulmonary ligament on postoperative residual cavity, bronchus angle, and lung volume changes (P>0.05). Conclusion For patients with thin and long body shape and low BMI, releasing the lower pulmonary ligament is helpful to promote the expansion of the residual lung after right upper lobe resection and reduce the occurrence of postoperative residual cavity in patients.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

OBJECTIVE: To examine the effectiveness of Chinese medicine (CM) Lianhua Qingwen Granule (LHQW) and Jingyin Gubiao Prescription (JYGB) in asymptomatic or mild patients with Omicron infection in the shelter hospital. METHODS: This single-center retrospective cohort study was conducted in the largest shelter hospital in Shanghai, China, from April 10, 2022 to May 30, 2022. A total of 56,244 asymptomatic and mild Omicron cases were included and divided into 4 groups, i.e., non-administration group (23,702 cases), LHQW group (11,576 cases), JYGB group (12,112 cases), and dual combination of LHQW and JYGB group (8,854 cases). The length of stay (LOS) in the hospital was used to assess the effectiveness of LHQW and JYGB treatment on Omicron infection. RESULTS: Patients aged 41-60 years, with nadir threshold cycle (C_T) value of N gene <25, or those fully vaccinated preferred to receive CM therapy. Before or after propensity score matching (PSM), the multiple linear regression showed that LHQW and JYGB treatment were independent influence factors of LOS (both P<0.001). After PSM, there were significant differences in LOS between the LHQW/JYGB combination and the other groups (P<0.01). The results of factorial design ANOVA proved that the LHQW/JYGB combination therapy synergistically shortened LOS (P=0.032). CONCLUSIONS Patients with a nadir C_T value <25 were more likely to accept CM. The LHQW/JYGB combination therapy could shorten the LOS of Omicron-infected individuals in an isolated environment.
Humans ; Drugs, Chinese Herbal/therapeutic use* ; Male ; Female ; Middle Aged ; Adult ; China/epidemiology* ; Hospitalization ; COVID-19 Drug Treatment ; COVID-19/epidemiology* ; SARS-CoV-2 ; Retrospective Studies ; Treatment Outcome ; Length of Stay ; Young Adult ; Aged

Long-term hypertension causes excessive vascular remodeling and leads to adverse cardiovascular events. Balance of ubiquitination and deubiquitination has been linked to several chronic conditions, including pathological vascular remodeling. In this study, we discovered that the expression of ubiquitin-specific protease 25 (USP25) is significantly up-regulated in angiotensin II (Ang II)-challenged mouse aorta. Knockout of Usp25 augments Ang II-induced vascular injury such as fibrosis and endothelial to mesenchymal transition (EndMT). Mechanistically, we found that USP25 interacts directly with Forkhead box O3 (FOXO3) and removes the K63-linked ubiquitin chain on the K258 site of FOXO3. We also showed that this USP25-mediated deubiquitination of FOXO3 increases its binding to light chain 3 beta isoform and autophagosomic-lysosomal degradation of FOXO3. In addition, we further validated the biological function of USP25 by overexpressing USP25 in the mouse aorta with AAV9 vectors. Our studies identified FOXO3 as a new substrate of USP25 and showed that USP25 may be a potential therapeutic target for excessive vascular remodeling-associated diseases.

Toxoplasma gondii is an intracellular protozoan pathogen with a global distribution,and dogs are considered a potential risk factor for human toxoplasmosis.This study was aimed at systematically analyzing the epidemiological characteris-tics of canine T.gondii infection in China from 1987 to 2023,to provide a scientific basis for the prevention and control of T.gondii in the country.Epidemiological data on canine T.gondii infections in China from 1987 to 2023 were retrieved from PubMed,China National Knowledge Infrastructure(CNKI),Wanfang Database,and Baidu Scholar.A database was established with Excel,and the data were visualized with ArcGIS 10.2 software.Statistical analysis was performed in SPSS 26.0 software,and group differences were analyzed with the X2 test.A P-value of＜0.05 was considered statistically significant.From 1987 to 2023,the overall seroprevalence of T.gondii antibodies in dogs in China remained stable,and the overall sero-prevalence rate was 13.97％.Yunnan Province had the highest seroprevalence,at 27.65％,whereas Shaanxi Province had the lowest seroprevalence,at 0.56％.Significant differences were observed among provinces(P＜0.05).Epidemiological data on canine T.gondii infections were not available for some regions.The seroprevalence in southwestern China was significantly higher than that in other regions(P＜0.05).A comparison of the seroprevalence between 1987-2004 and 2005-2023 revealed significant differences(P＜0.05).Canine T.gondii infection is widespread in China and shows a stable epidemic cycle.Appro-priate prevention and control measures should be implemented,along with strengthened surveillance of T.gondii outbreaks.Public education on the prevention and control of toxoplasmosis should be enhanced to decrease transmission risk and safeguard public health.

The application of sensors to the monitoring of spinal morphology and motion was reviewed in terms of the research object and monitoring index.The present situation of the application of sensors was introduced,such as inertial sensor,stretchable strain sensor and electromagnetic sensor.The deficiencies of sensors applied to the monitoring of spinal morphology and motion were analyzed,and the future directions of the application were pointed out.[Chinese Medical Equipment Journal,2025,46(6):105-110]

Objective To establish a UV method for the determination of the functional compositions(cinnamic acid derivatives,total flavonoids)in Ligustrum robustum,to predict the contents of trans-p-hydroxycinnamic acid,trans-p-hydroxycinnamic acid esters,and rhoifolin based on UV/HPLC,and to optimize the technological conditions of ultrasonic-assistant extraction of L.robustum.Methods ①In the determination of the functional compositions in L.robustum,total cinnamic acid derivatives were determined by dual-wavelength isobestic point UV method(detection wavelength 316 nm,reference wavelength 268 nm),and total flavonoids were determined by single-wavelength UV method(detection wavelength 268 nm),while rhoifolin was determined by HPLC(C 18 column,eluting with methanol-0.1％acetic acid=40∶60,detection wavelength 310 nm).②The conversion factors were used to establish a UV/HPLC-based prediction model,and the precision of the predicted results was evaluated with other 3 test samples.③ The technological conditions of ultrasonic-assisted extraction were optimized by an orthogonal test.Results ① The linear ranges of total cinnamic acid derivatives,total flavonoids,and rhoifolin were 4.64-20.88,8.24-28.84,5.15-51.50 μg·mL-1(r≥0.999 5),respectively.RSDs of the precision,stability,and reproducibility tests were no more than 1.4％.The recoveries were 97.9％-100.5％(RSD≤ 1.2％,n=6).②The relative errors of the values predicted by UV/HPLC from the results measured by HPLC were from-5.3％to 1.7％.There was no significant difference between the UV/HPLC predicted values and the HPLC determined results(P＞0.05)for the contents of trans-p-hydroxycinnamic acid and rhoifolin.③The optimal technological conditions of ultrasonic-assistant extraction of L.robustum were as follows:ethanol concentration 80％,temperature 50 ℃,liquid-solid ratio 20 mL·g 1,extraction frequency 2 times,extraction time 20 min.The total yield of functional compositions under above conditions was 42.0％.Conclusion The above determination methods are accurate and rapid,and the above extraction technology is effective,energy-saving and rapid,which provide an experimental base for the quality control and application of L.robustum.

Objective To investigate the role of Insulin like growth factor 2 mRNA binding protein 1(IGF2BP1)and long non-coding RNA LINC00160(LINC00160)in gastric cancer,and its potential mechanism of regulating the proliferation and invasion of gastric cancer cells.Methods Quantitative real time polymerase chain reaction(qRT-PCR)was used to detect the expression level of LINC00160 in gastric cancer tissues and cells.Bioinformatics prediction,RNA-binding protein immunoprecipitation(RIP)and methylated RNA immunoprecipitation(MeRIP)were used to verify the binding effect of LINC00160 and IGF2BP1.The correlation between the expression of LINC00160 and IGF2BP1 in gastric cancer tissues was analyzed by Pearson assay.CCK-8 assay and Transwell assay were used to detect cell proliferation and invasion.The changes of aerobic glycolysis index[glucose intake,lactate production,and Adenosine-triphosphate(ATP),extracellular acidification rate(ECAR)and oxygen consumption rate(OCR)]were detected and analyzed.Results Compared with normal tissues,the expression of LINC00160 in gastric cancer tissues(5.13±0.62 vs 1.02±0.03)was significantly up-regulated,and the difference was statistically significant(t=-36.266,P<0.001).The expression level of LINC00160 in gastric cancer cells was higher than that of human normal gastric epithelial cell line GES-1,and the difference was statistically significant(F=24.595,P<0.001).Compared with the control group,silenting LINC00160 significantly inhibited the proliferation(0.42±0.03 vs 1.03±0.04)and invasion(22.13%±1.97%vs 42.15%±2.67%)of AGS cells,decreased glucose uptake(2.11±0.26mmol/L vs 4.22±0.37mmol/L)and lactate production(6.84±1.25mmol/L vs 11.68±1.55mmol/L),decreased ECAR,and increased ATP(3.34±0.29mmol/L vs 1.87±0.24mmol/L)levels and OCR,and the differences were statistically significant(t=4.188～24.423,all P<0.01).The expression of IGF2BP1 protein in gastric cancer tissues(4.07±0.36)was significantly higher than that in adjacent tissues(1.01±0.03),and the difference was statistically significant(t=-46.396,P<0.01),and was positively correlated with the expression of LINC00160(r2=0.774 5,P<0.01).Mechanistic studies revealed that IGF2BP1 upregulated LINC00160 expression by binding m6A modified LINC00160 to promote its stability.Silencing IGF2BP1 significantly inhibited the expression of LINC00160 and the proliferation,invasion and aerobic glycolysis of gastric cancer cells,and the differences were statistically significant(t=4.386～11.989,all P<0.01).Overexpression of LINC00160 reversed the effect of IGF2BP1 silencing on AGS cells.Conclusion LINC00160 is significantly up-regulated in gastric cancer,and IGF2BP1 may stably regulate the expression of LINC00160 through m6A modification,promote the aerobic glycolysis of tumor cells,and participate in the occurrence and development of gastric cancer.

Nanoparticle delivery systems have good application prospects in the field of precision therapy, but the preparation process of nanomaterial has problems such as short in vivo circulation time, easy recognition, and clearance by the immune system in the body. In recent years, biomimetic nanoparticle delivery systems mediated by natural cell membranes have become a research hotspot to address these issues. The natural membrane biomimetic nanoparticle delivery system cleverly integrates the advantages of natural biofilm "autologous" and "artificial" functional carriers by using endogenous cell membranes to modify the surface of nanocarriers, endowing them with characteristics such as tumor targeting, low immunogenicity, and long blood circulation. Currently, biomimetic nanoparticle delivery systems have been used in the treatment of malignant tumors, cardiovascular diseases, bacterial infections, and other diseases. This paper analyzes the development status and current research hotspots of natural cell membrane camouflaged biomimetic nanoparticle delivery systems mainly reviews the latest research progress of red blood cell membrane camouflaged biomimetic nanoparticle delivery systems in the field of disease treatment in recent years. It focuses on exploring the advantages, future development prospects, and limitations of biomimetic nanoparticle delivery systems based on red blood cell membrane camouflage in improving drug delivery, to provide a reference for the in-depth research and development of this system.