Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

Objective To investigate the effect and mechanism of astragaloside Ⅳ(AS-Ⅳ) activating ROCK/JNK to regulate autophagy in improving isoproterenol (ISO) induced myocardial fibrosis (MF) in mice. Methods The mice were randomly divided into control operation group (Control group), ISO induced myocardial fibrosis group (MF group), AS-Ⅳ treatment group (AS-Ⅳ group) and combination group of astragaloside IV and Y-33075 (ROCK inhibitor) (astragaloside IV+Y-33075 group). After repeated administration for 30 days. The serum levels of LDH, BNP, CTGF in each group were detected. The cardiac function was detected by ultrasound. Myocardial structure and tissue fibrosis degree in each group were detected by Sirius Red and Masson staining. Oxidative stress (ROS) levels in myocardial tissue of each group were detected by DHE staining and the expression of ROCK, JNK, Atg5, Beclin 1, and LC3 Ⅰ/Ⅱ in myocardial tissue were detected by Western blotting. Results Compared with AS-Ⅳ group, the EF value of AS-Ⅳ+Y-33075 group decreased and the degree of myocardial fibrosis increased (P<0.05). The serum level of LDH, BNP, CTGF increased and the level of ROS in myocardial tissue increased while the expression of ROCK, JNK, Atg5, Beclin 1, LC3 Ⅰ/Ⅱ decreased (P<0.05). Y-33075 could block the protective effect of AS-Ⅳ on myocardial injury induced by MF and inhibit the regulation of AS-Ⅳ on ROCK and JNK. Conclusion AS-Ⅳ could attenuate myocardial fibrosis in mice by activating ROCK/JNK signal and promoting autophagy.

Stroke has become one of the main causes of death in China, and ischemic stroke is the most common type. At the same time, the prevalence of chronic kidney disease (CKD) is also increasing, and there are many similar risk factors with ischemic stroke. More and more studies have shown that CKD increases the incidence, severity and risk of poor outcome of ischemic stroke, but the specific mechanism of its interaction is not completely clear. For ischemic stroke patients with CKD, the most effective treatment and prevention measures are lack of sufficient evidence. This article reviews the relationship between CKD and ischemic stroke, as well as the treatment and prevention.

Objective:To construct and evaluate a novel tissue-engineered bone composed of murine stromal cell-derived factor 1(mSDF-1), simvastatin (SIM) and collagen scaffold (Bio-Oss?), serving as a cell-homing approach for bone formation .Methods: In the study , 32 ICR mice were randomly divided into 4 groups,each group including 8 mice.The drug-loaded collagen scaffolds were implanted subcutaneously onto the cranium of each mouse according to the groups: ( 1 ) 1 ∶50 ( volume ratio ) dimethyl sulfoxide ( DMSO ) /phosphate-buffered saline ( PBS ) solution +collagen scaffold ( blank control group ); ( 2 ) 10 -3 mol/L SIM solution +collagen scaffold ( SIM group ); ( 3 ) 200 mg/L mSDF-1solution +collagen scaffold (mSDF-1 group); and (4) 10 -3mol/L SIM +200 mg/L mSDF-1 solution +collagen scaffold ( SIM +mSDF-1 group) .One week after implantation , the mice were trea-ted by injecting the same drug solution mentioned above around the scaffold once a day for two days .The specimens were harvested 6 weeks after implantation and the bone formation was evaluated by soft X-ray analysis , HE staining and immunohistochemical staining .Angiogenesis of each group was checked by calculation of vessels in each tissue section .Results:Six weeks after implantation , the collagen scaffolds were retrieved.The value of gray scale for the SIM +mSDF-1 group[(421 836.5 ±65 425.7) pixels] was significantly higher than that of the blank control group [(153 345.6 ±45 222.2)pixels, P<0.01], the SIM group [(158 119.2 ±100 284.2) pixels, P<0.01], and the mSDF-1 group[(255 529.5 ± 152 142.4) pixels, P <0.05 ]; HE staining analysis revealed that significant bone formation was achieved in the SIM +mSDF-1 group; The immunohistochemical staining showed the existence of os-teopontin and osteocalcin in the SIM +mSDF-1 group; There were more vessels in the SIM +mSDF-1 group[(46 ±8)vessels/mm2] than in the blank control group [(23 ±7) vessels/mm2, P<0.01], and the SIM group[(24 ±6) vessels/mm2 , P<0.01].Conclusion:The novel tissue-engineered bone com-posed of mSDF-1, SIM and collagen scaffolds has the potential to form bone subcutaneously in vivo.It re-presents a novel method of in vivo bone re-generation without seed cell delivery .