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 evaluate the effect of biodegradable magnesium alloy materials in promoting tendon-bone healing during rotator cuff tear repair and to investigate their potential underlying biological mechanisms. METHODS: Forty-eight 8-week-old Sprague Dawley rats were taken and randomly divided into groups A, B, and C. Rotator cuff tear models were created and repaired using magnesium alloy sutures in group A and Vicryl Plus 4-0 absorbable sutures in group B, while only subcutaneous incisions and sutures were performed in group C. Organ samples of groups A and B were taken for HE staining at 1 and 2 weeks after operation to evaluate the safety of magnesium alloy, and specimens from the supraspinatus tendon and proximal humerus were harvested at 2, 4, 8, and 12 weeks after operation. The specimens were observed macroscopically at 4 and 12 weeks after operation. Biomechanical tests were performed at 4, 8, and 12 weeks to test the ultimate load and stiffness of the healing sites in groups A and B. At 2, 4, and 12 weeks, the specimens were subjected to the following tests: Micro-CT to evaluate the formation of bone tunnels in groups A and B, HE staining and Masson staining to observe the regeneration of fibrocartilage at the tendon-bone interface after decalcification and sectioning, and Goldner trichrome staining to evaluate the calcification. Immunohistochemical staining was performed to detect the expressions of angiogenic factors, including vascular endothelial growth factor (VEGF) and bone morphogenetic protein 2 (BMP-2), as well as osteogenic factors at the tendon-bone interface. Additionally, immunofluorescence staining was used to examine the expressions of Arginase 1 and Integrin beta-2 to assess M1 and M2 macrophage polarization at the tendon-bone interface. The role of the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway in tendon-bone healing was further analyzed using real-time fluorescence quantitative PCR. RESULTS: Analysis of visceral sections revealed that magnesium ions released during the degradation of magnesium alloys did not cause significant toxic effects on organs such as the heart, liver, spleen, lungs, and kidneys, indicating good biosafety. Histological analysis further demonstrated that fibrocartilage regeneration at the tendon-bone interface in group A occurred earlier, and the amount of fibrocartilage was significantly greater compared to group B, suggesting a positive effect of magnesium alloy material on tendon-bone interface repair. Additionally, Micro-CT analysis results revealed that bone tunnel formation occurred more rapidly in group A compared to group B, further supporting the beneficial effect of magnesium alloy on bone healing. Biomechanical testing showed that the ultimate load in group A was consistently higher than in group B, and the stiffness of group A was also greater than that of group B at 4 weeks, indicating stronger tissue-carrying capacity following tendon-bone interface repair and highlighting the potential of magnesium alloy in enhancing tendon-bone healing. Immunohistochemical staining results indicated that the expressions of VEGF and BMP-2 were significantly upregulated during the early stages of healing, suggesting that magnesium alloy effectively promoted angiogenesis and bone formation, thereby accelerating the tendon-bone healing process. Immunofluorescence staining further revealed that magnesium ions exerted significant anti-inflammatory effects by regulating macrophage polarization, promoting their shift toward the M2 phenotype. Real-time fluorescence quantitative PCR results demonstrated that magnesium ions could facilitate tendon-bone healing by modulating the PI3K/AKT signaling pathway. CONCLUSION Biodegradable magnesium alloy material accelerated fibrocartilage regeneration and calcification at the tendon-bone interface in rat rotator cuff tear repair by regulating the PI3K/AKT signaling pathway, thereby significantly enhancing tendon-bone healing.
Animals ; Rotator Cuff Injuries/metabolism* ; Rats, Sprague-Dawley ; Signal Transduction ; Wound Healing/drug effects* ; Alloys/pharmacology* ; Rats ; Proto-Oncogene Proteins c-akt/metabolism* ; Rotator Cuff/metabolism* ; Macrophages/metabolism* ; Magnesium/pharmacology* ; Phosphatidylinositol 3-Kinases/metabolism* ; Vascular Endothelial Growth Factor A/metabolism* ; Male ; Biocompatible Materials ; Bone Morphogenetic Protein 2/metabolism*

Research indicates that microbe activity within the human body significantly influences health by being closely linked to various diseases. Accurately predicting microbe-disease interactions (MDIs) offers critical insights for disease intervention and pharmaceutical research. Current advanced AI-based technologies automatically generate robust representations of microbes and diseases, enabling effective MDI predictions. However, these models continue to face significant challenges. A major issue is their reliance on complex feature extractors and classifiers, which substantially diminishes the models' generalizability. To address this, we introduce a novel graph autoencoder framework that utilizes decoupled representation learning and multi-scale information fusion strategies to efficiently infer potential MDIs. Initially, we randomly mask portions of the input microbe-disease graph based on Bernoulli distribution to boost self-supervised training and minimize noise-related performance degradation. Secondly, we employ decoupled representation learning technology, compelling the graph neural network (GNN) to independently learn the weights for each feature subspace, thus enhancing its expressive power. Finally, we implement multi-scale information fusion technology to amalgamate the multi-layer outputs of GNN, reducing information loss due to occlusion. Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models. This indicates that our model can accurately predict unknown MDIs and is likely to aid in disease discovery and precision pharmaceutical research. Code and data are accessible at: https://github.com/shmildsj/MDI-IFDRL.

Objective:To explore the long-term therapeutic efficacy and outcomes of liver transplantation for patients with hepatic myelopathy (HM).Methods:Retrospective analysis of 24 adult liver transplantation recipients due to HM at First Central Municipal Hospital from January 2006 to October 2022. HM was extensively classified by the severity of lower extremity symptoms, degree of muscle stiffness, capability for independent ambulation and muscle strength. Furthermore, their long-term outcomes were examined. From January 2000 to October 2022, the databases of China National Knowledge Infrastructure (CNKI) , Google Scholar, PubMed and Web of Science were searched with such keywords as "肝性脊髓病and肝移植" "Hepatic Myelopathy and Liver Transplantation" .Results:After liver transplantation, liver functions and blood ammonia normalized and most clinical symptoms improved. During a follow-up period of (12-190) months, 19 patients showed a lowered grade of HC as compared to pre-transplantation. Four cases achieved a complete recovery of extremity function. No change occurred in severity grade for the remaining 5 patients. However, 4 of them experienced varying degrees of improvement in muscle strength and independent walking capability. This review summarized the clinical characteristics and clinical outcomes of 17 patients from both domestic and international sources. Most of them experiences varying degrees of symptomatic improvements after liver transplantation (16 cases).Conclusions:This study has confirmed the effectiveness of liver transplantation for HM and its contribution to the long-term patient recovery.

The"season-visceral-related"theory originated from Huangdi Neijing,and its content contains the"holism of five viscera"and"correspondence between nature and humans"in the theoretical system of traditional Chinese medicine(TCM).Recently,the prevalence of post-stroke cognitive impairment(PSCI)has gradually increased with the increasing incidence of stroke.TCM believes that PSCI is located in the brain,however,the causative factors such as phlegm,depression,deficiency,and stasis are caused by the lesions of the five zang viscera.Therefore,PSCI can not be treated with the brain alone.Based on the"season-visceral-related"theory,this article discusses the etiology,pathogenesis,and treatment ideas for PSCI from the four seasons and five zang viscera.Xiaoyao Pill was selected as a treatment for patients with qi imbalance in spring to disperse stagnated liver qi to relieve qi stagnation.Tianwang Buxin Dan was selected as a treatment for patients with blood loss and spirit injury in the summer to nourish the blood and calm the heart and brain.Kaixin Powder was selected as a treatment for patients with spleen deficiency and phlegm blockage in late summer to strengthen the spleen,awaken the mind,and remove stasis.Wenfei Jiangzhuo Decoction was selected as a treatment for patients with qi deficiency and spirit departure in autumn to nourish the lungs,reduce turbidity,and nourish the mind.Dihuang Yinzi was selected as a treatment for patients with marrow reduction and internal toxin in winter to expel phlegm and fill the mind.Treating PSCI using the"season-visceral-related"theory reflects the overall concept of TCM and the hypothesis of syndrome differentiation and treatment and provides novel method for treating PSCI.

Objective To analyze the clinical efficacy of Yunnan Baiyao in middle aged and elderly lung cancer patients undergoing the uniportal video-assisted thoracoscopic.Methods A total of 90 patients with non-small cell lung cancer meeting the criterias were screened and divided into two groups according to random number table method,which respectively received conventional treatment(control group)and Yunnan Baiyao treatment(experimental group).The perioperative period related indexes,coagulation function related indexes,and the occurrence rate of complications were observed and compared between the two groups.Results The intraoperative bleeding volume and thoracic drainage volume for the first day of experimental group were significantly lower than control group(P＜0.05).However,there were no significant difference in the coagulation function related indexes between two groups before and after surgery(P＞0.05).Additionally,there were also no significant difference in the occurrence rate of complication between two groups(P＞0.05).Conclusion Yunnan Baiyao can reduce intraoperative bleeding volume and chest tube drainage volume for the first day,promots the recovery of patients,and has a good clinical application value.

Objective The critical genes associated with exhausted CD8+T cells were screened and validated by mapping the single-cell transcriptome profile of high-grade serous ovarian cancer(HGSOC).Methods The specific subtypes of T cells in the tumor microenvironment were analyzed using the single-cell sequencing data from the early stage of laboratory(SRA database:PRJNA756768)and integrating 5 HGSOC sequencing from the database,and the differentiation trajectory of T cell subsets was ex-plored through pseudotime analysis.Differential gene enrichment was used to determine immunosuppressed CD8+IL-2Low and CD8+IFN-γLow T cell subsets and differential genes,and candidate molecules closely related to exhausted CD8+T cells were screened based on patient prognosis.Flow cytometry was used to analyze the expression of PHLDA1 on CD8+T cells,CD4+T cells and Treg cells dur-ing the activation to exhaustion process of T cells in human PBMCs.ELISA was used to detect the levels of IFN-γ and IL-2 secreted by CD8+T cells in PHLDA1High and PHLDA1Low.Finally,flow cytometry was used to analyze the association between PHLDA1 and ex-hausted markers PD-1 and TIM-3.Results The results showed that T cells were grouped in three ways:(1)IL-2High and IL-2Low;(2)IFN-γHigh and IFN-γLow;and(3)exhausted and cytotoxic CD8+T cells.Subsequently,the intersection of its differentially expressed genes was taken,and the key gene PHLDA1 was ultimately screened.Flow cytometry analysis suggested that during the process of T cell activation to exhaustion,the expression of PHLDA1 continued to increase on CD8+T cells,CD4+T cells and Treg cells;The ELISA results showed that the levels of IFN-γ and IL-2 secreted by CD8+PHLDA1High T cells were significantly lower than those of CD8+PHLDA1Low T cells.Meanwhile,the CD8+PHLDA1High T cell subset could simultaneously cover the exhausted T cell types of CD8+TIM-3+and CD8+PD-1+.Conclusion Based on single-cell sequencing data,this study identified PHLDA1 as a key molecule responsi-ble for CD8+T cell exhaustion in OC,providing new insights for immunotherapy of OC.

Objective To explore risk factors of early lung infection after liver transplantation and to construct a prediction model of early lung infection after liver transplantation.Methods The clinical data of 269 patients who underwent orthotopic liver transplantation for the first time were retrospectively analyzed.Patients were divided into the infected group(n=97)and the non-infected group(n=172)according to whether pulmonary infection occurred within 30 days after operation.The preoperative general data,preoperative laboratory examination results,intraoperative and postoperative data of the patients were collected.Multivariate Logistic regression analysis were used to screen risk factors of pulmonary infection.Based on the results of multivariate analysis,the prediction model was constructed and the prediction efficiency of the model was evaluated.Results Univariate and multivariate Logistic regression analysis showed that preoperative PNI≤41.70(OR=1.972,95%CI:1.047-3.714,P=0.036),LMR≤1.52(OR=2.020,95%CI:1.102-3.705,P=0.023),MELD score＞10.72(OR=1.985,95%CI:1.103-3.573,P=0.022),operative time＞448.00 min(OR=2.676,95%CI:1.515-4.727,P=0.001)and intensive care unit(ICU)hospitalization time＞4.0 days(OR=2.623,95%CI:1.335-5.154,P=0.005)were independent risk factors for early pulmonary infection after liver transplantation.The ROC area under the curve(AUC)of the prediction model based on the results of multivariate Logistic regression analysis was 0.768,the sensitivity was 80.41%and the specificity was 60.47%.Conclusion The prediction model based on PNI,LMR,MELD score,operation time and ICU hospitalization time can effectively predict the occurrence of early pulmonary infection after liver transplantation.

Objective To observe the effects of minimally invasive puncture and drainage combined with urokinase on the severity of cerebral edema,serum malondialdehyde(MDA),matrix metalloproteinase-9(MMP-9)and intercellular adhesion molecule-1(ICAM-1)after cerebral hemorrhage.Methods A total of 82 patients with hypertensive intracerebral hemorrhage(HICH)admitted to our hospital were retrospectively enrolled between January 2020 and September 2022.According to different treatment methods,they were divided into two groups:observation group(44 cases,control group combined with UK)and control group(38 cases,control treatment).The cerebral edema volume,nerve function[National Institutes of Health Stroke Scale(NIHSS)]and serological indexes(MDA,MMP-9,ICAM-1)in both groups were observed.The occurrence of postoperative complications was recorded.The prognosis[scores of Glasgow Outcome Scale(GOS)and activity of daily living scale(ADL),death]in the two groups was compared at 3 months after surgery.Results At 14d after surgery,peripheral cerebral edema volume in the observation group was smaller than that in the control group[(14.76±2.39)ml vs(16.87±2.24)ml,P＜0.05],NIHSS score was lower than that in the control group[(11.12±1.96)points vs(11.96±1.65)points,P＜0.05].The levels of serum MDA,MMP-9 and ICAM-1 in the observation group were(8.65±1.16)nmol/ml,(96.17±19.34)ng/ml and(624.31±32.76)μg/ml,respectively,which were lower than those in the control group[(16.14±2.16)nmol/ml,(120.47±21.32)ng/ml,(661.24±35.21)μg/ml,P＜0.05].There was no significant difference in incidence of postoperative complications between the observation group and the control group(9.09％vs 18.42％,P＞0.05).There was no death in either group within 3 months after surgery.At 3 months after surgery,GOS and ADL scores in the observation group were(4.03±0.92)points and(71.21±12.65)points,which were higher than those in the control group[(3.52±1.12)points,(62.98±15.58)points,P＜0.05].Conclusion The control combined with UK can effectively control cerebral edema,down-regulate MDA,MMP-9 and ICAM-1 levels,protect nerve function and improve prognosis in HICH patients.

Subretinal fibrosis(SRF),the end pathological stage of neovascular age-related macular degeneration(nAMD),can cause severe and irreversible vision loss in patients.In recent years,the high clinical incidence of SRF and the severe visual impairment it causes have led to a rapid development of SRF-related research.In order to systematically understand the clinical progress of SRF,recent studies on SRF secondary to nAMD were reviewed in this article.