ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

Recent studies have shown that an imbalance in iron metabolism can affect the composition and microstructural changes of bone, disrupting bone homeostasis and leading to osteoporosis(OP). The imbalance in iron metabolism, along with its induced local abnormal microenvironment and cellular iron death, has become a new focal point in OP research, drawing increasing attention from the academic community regarding the regulation of iron metabolism to prevent and manage OP. From the perspective of traditional Chinese medicine(TCM), iron metabolism imbalance has potential connections to TCM theories regarding internal organs, as well as treatments aimed at tonifying the kidney, strengthening the spleen, and activating blood circulation. Evidence is continually emerging that TCMs and effective components that tonify the kidney, strengthen the spleen, and activate blood circulation can prevent and manage OP by regulating iron metabolism. This article analyzes the relationship between iron and bone, as well as the effects of TCM formulations on improving iron metabolism and influencing bone metabolism, from the perspectives of iron metabolism mechanisms and TCM interventions, aiming to broaden existing clinical strategies for prevention and treatment and inject new momentum into the field of OP as it moves into a new era.
Osteoporosis/drug therapy* ; Humans ; Iron/metabolism* ; Drugs, Chinese Herbal/pharmacology* ; Animals ; Medicine, Chinese Traditional ; Bone and Bones/drug effects*

Based on the interleukin-17(IL-17) signaling pathway, this study explores the effect and mechanism of Bufei Decoction on Klebsiella pneumoniae pneumonia in rats. SD rats were randomly divided into the control group, model group, Bufei Decoction low-dose group(6.68 g·kg~(-1)·d~(-1)), Bufei Decoction high-dose group(13.36 g·kg~(-1)·d~(-1)), and dexamethasone group(1.04 mg·kg~(-1)·d~(-1)), with 10 rats in each group. A pneumonia model was established by tracheal drip injection of K. pneumoniae. After successful model establishment, the improvement in lung tissue damage was observed following drug administration. Core targets and signaling pathways were screened using transcriptomics techniques. Real-time fluorescence quantitative polymerase chain reaction was used to detect the mRNA expression of core targets interleukin-6(IL-6), interleukin-1β(IL-1β), tumor necrosis factor-α(TNF-α), and chemokine CXC ligand 6(CXCL6). Western blot was used to assess key proteins in the IL-17 signaling pathway, including interleukin-17A(IL-17A), nuclear transcription factor-κB activator 1(Act1), tumor necrosis factor receptor-associated factor 6(TRAF6), and downstream phosphorylated p38 mitogen-activated protein kinase(p-p38 MAPK), and phosphorylated nuclear factor-κB p65(p-NF-κB p65). Apoptosis of lung tissue cells was detected by terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling(TUNEL). The results showed that, compared with the control group, the model group exhibited significant pathological damage in lung tissue. The mRNA expression of IL-6, IL-1β, TNF-α, and CXCL6, as well as the protein levels of IL-17A, Act1, TRAF6, p-p38 MAPK/p38 MAPK, and p-NF-κB p65/NF-κB p65, were significantly increased, and the number of apoptotic cells was notably higher, indicating successful model establishment. Compared with the model group, both low-and high-dose groups of Bufei Decoction showed reduced pathological damage in lung tissue. The mRNA expression levels of IL-6, IL-1β, TNF-α, and CXCL6, and the protein levels of IL-17A, Act1, TRAF6, p-p38 MAPK/p38 MAPK, and p-NF-κB p65/NF-κB p65, were significantly decreased, with a significant reduction in apoptotic cells in the high-dose group. In conclusion, Bufei Decoction can effectively improve lung tissue damage and reduce inflammation in rats with K. pneumoniae. The mechanism may involve the regulation of the IL-17 signaling pathway and the reduction of apoptosis.
Animals ; Interleukin-17/metabolism* ; Drugs, Chinese Herbal/administration & dosage* ; Rats, Sprague-Dawley ; Signal Transduction/drug effects* ; Rats ; Male ; Klebsiella pneumoniae/physiology* ; Klebsiella Infections/immunology* ; Humans ; Lung/drug effects*

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Objective To investigate the therapeutic mechanism of Tujia medicine Toddalia asiatica alcohol extract(TAAE)for synovial pannus formation in rats with college-induced arthritis(CIA).Methods Sixty male SD rats were randomized into normal control group,CIA model group,TGT group,3 TAAE treatment groups at low,medium and high doses(n=10).Except for those in the normal control group,all the rats were subjected to CIA modeling using a secondary immunization method and treatment with saline,TGT or TAAE by gavage once daily for 35 days.The severity of arthritis was assessed using arthritis index(AI)score,and knee joint synovium pathologies were examined with HE staining.Serum levels of TNF-α,IL-6,and IL-1β were detected with ELISA;the protein expressions of PI3K,Akt,p-PI3K,p-Akt,VEGF,endostatin,HIF-1α,MMP1,MMP3,and MMP9 in knee joint synovial tissues were determined using Western blotting,and the mRNA expressions of TNF-α,IL-6,IL-1β,VEGF,HIF-1α,PI3K,and Akt were detected with RT-PCR.Results Treatment of CIA rat models with TAAE and TGT significantly alleviated paw swelling,lowered AI scores,and reduced knee joint pathology,neoangiogenesis,and serum levels of inflammatory factors.TAAE treatment obviously increased endostatin protein expression,downregulated p-PI3K,p-Akt,MMP1,MMP3,MMP9,VEGF,and HIF-1α proteins,and reduced TNF-α,IL-6,IL-1β,PI3K,Akt,VEGF,and HIF-1α mRNA levels in the synovial tissues,and these changes were comparable between high-dose TAAE group and TGT group.Conclusion TAAE can improve joint symptoms and inhibit synovial pannus formation in CIA rats by regulating the expressions of HIF-1α,VEGF,endostatin,MMP1,MMP3,and MMP9 via the PI3K/Akt signalling pathway.

Objective To investigate the therapeutic mechanism of Tujia medicine Toddalia asiatica alcohol extract(TAAE)for synovial pannus formation in rats with college-induced arthritis(CIA).Methods Sixty male SD rats were randomized into normal control group,CIA model group,TGT group,3 TAAE treatment groups at low,medium and high doses(n=10).Except for those in the normal control group,all the rats were subjected to CIA modeling using a secondary immunization method and treatment with saline,TGT or TAAE by gavage once daily for 35 days.The severity of arthritis was assessed using arthritis index(AI)score,and knee joint synovium pathologies were examined with HE staining.Serum levels of TNF-α,IL-6,and IL-1β were detected with ELISA;the protein expressions of PI3K,Akt,p-PI3K,p-Akt,VEGF,endostatin,HIF-1α,MMP1,MMP3,and MMP9 in knee joint synovial tissues were determined using Western blotting,and the mRNA expressions of TNF-α,IL-6,IL-1β,VEGF,HIF-1α,PI3K,and Akt were detected with RT-PCR.Results Treatment of CIA rat models with TAAE and TGT significantly alleviated paw swelling,lowered AI scores,and reduced knee joint pathology,neoangiogenesis,and serum levels of inflammatory factors.TAAE treatment obviously increased endostatin protein expression,downregulated p-PI3K,p-Akt,MMP1,MMP3,MMP9,VEGF,and HIF-1α proteins,and reduced TNF-α,IL-6,IL-1β,PI3K,Akt,VEGF,and HIF-1α mRNA levels in the synovial tissues,and these changes were comparable between high-dose TAAE group and TGT group.Conclusion TAAE can improve joint symptoms and inhibit synovial pannus formation in CIA rats by regulating the expressions of HIF-1α,VEGF,endostatin,MMP1,MMP3,and MMP9 via the PI3K/Akt signalling pathway.

The post-translational modification of proteins is a key mechanism that imparts physiological functions to proteins,among which reversible phosphorylation modifications play a pivotal role in many biological processes.Aberrant changes in phosphorylation are often closely associated with various major disease processes.In recent years,with the aid of proteomic technologies and methods,high-throughput,high-precision qualitative and quantitative approaches for phosphorylated proteins have rapidly advanced.This article reviews the research progress of phosphorylated protein quantification and chemical proteomics analysis methods based on the"bottom-up"strategy,including phosphopeptide enrichment methods,mass spectrometry fragmentation methods,quantification analysis methods and phosphorylation site stoichiometry,and discusses the development trend of quantification and stoichiometric analysis methods for phosphorylated proteins.

Chronic kidney disease(CKD)commonly used dietary assessments including 24-hour dietary recall(24 h DR)/3-day dietary recall(3DDR),food frequency questionnaire(FFQ),dietary records,and estimation of dietary protein intake based on nitrogen balance.Given the high prevalence of CKD patients in Asian population and the scarcity of research using FFQ method,it is crucial to develop an FFQ suitable for Chinese CKD patients.This review summarizes the advantages and disadvantages of dietary assessment methods for CKD,the current research status,and the content and steps involved in establishing an FFQ,with the aim of providing reference for the modification of FFQ for Chinese CKD patients.

Objective To present the initial practice of a novel procedure for the surgical treatment of inguinal hernia-"lateral approach single-incision laparoscopic totally extraperitoneal(L-SILTEP)repair"in certain specific situations.Methods The clinical data of 110 inguinal hernia patients who underwent L-SILTEP in the First Affiliated Hospital of Ningbo University,Shanghai General Hospital affiliated to Shanghai Jiao Tong University School of Medicine,and Shanghai East Hospital affiliated to Tongji University from June 2021 to March 2024 were collected retrospectively.Patients' demographics,surgical details,length of hospital stay,and postoperative outcomes were analyzed respectively.Results All surgeries were completed successfully and there was no conversion.The median surgical time was 55(41.25,70)mins and the intraoperative blood loss was 5(2,10)mL.In surgery,inferior epigastric artery injury occurred in 5 cases(4.5%)and spermatic cord injury occurred in 1 case(0.9%).The mean visual analog scale(VAS)scores pain assessment at 6,24,and 48 h after surgery were 3.0±0.8,1.9±0.7 and 1.1±0.4,respectively.The duration of hospital stay was(3.3±0.7)days.The most common postoperative complication was seroma,which occurred in 9 cases(8.2%).Additionally,extraperitoneal hematoma occurred in 1 case(0.9%)and scrotum effusion in 1 case(0.9%).Conclusions Generally,L-SILTEP is safe,feasible and effective.However,due to its advanced technique-demand,the application of L-SILTEP should be patient-specific and surgeon-specific.The successful implementation of this surgical procedure necessitates extensive training and meticulous attention to the surgical details.