Diabetes mellitus, characterized by glucose metabolism disorders and marked by insulin deficiency or insulin resistance, has seen a continuous rise in prevalence. In recent years, islet transplantation has matured as a therapeutic approach for diabetes, becoming an important method for glycemic control and the reduction of diabetes-related complications. Donor selection directly influences transplant outcomes, and various research institutions worldwide have proposed multiple scoring systems to optimize donor assessment, such as the University of Alberta scoring system and the North American Islet Donor Score. This article explores the impact of key factors such as donor age, body mass index and ischemia time on islet transplantation. Combining practical experience in pancreatic donor selection from Shanghai Changzheng Hospital, it proposes screening criteria for pancreatic donors suitable for China, aiming to provide new evidence for improving the success rate of islet transplantation.

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.

Objective This study aimed to investigate the effects of silencing Ras homolog family member C(RhoC)on the proliferation,apoptosis,invasion,migration,and epithelial-mesenchymal transition(EMT)of salivary adenoid cystic carcinoma(SACC)and its molecular mechanisms.Methods A total of 27 SACC lesions and normal salivary gland tissues that were surgically resected at Qingdao Municipal Hospital from January 1,2019 to March 1,2024 were selected,and the expression levels of RhoC were detected by Western blot and immunohistochemistry.Three small interfering RNA(siRNAs)were designed to target the RhoC gene sequence,transfected into SACC-LM and SACC-83 cell lines,and evaluated for transfection efficiency.The protein expression levels of RhoC,Rho-asso-ciated protein kinase-1(ROCK1),p38 mitogen-activated protein kinase(p38MAPK),phosphorylated-p38MAPK(p-p38MAPK),twist family bHLH transcription factor 1(TWIST1),E-cadherin,N-cadherin,and Vimentin were com-pared using Western blot.CCK-8 assay,flow cytometry,transwell invasion assay,and wound healing assay were conducted to assess the differences in cell proliferation,apoptosis,invasion,and migration abilities among the groups.Bioinformatics methods were also used to predict possible upstream micro RNAs(miRNAs)of RhoC and their expression levels in SACC.Moreover,dual-luciferase reporter gene experiments were performed to verify the binding sites of miR-138-5p and RhoC.Results RhoC was highly expressed in SACC(P＜0.05).After silencing RhoC,the test group showed a significant decrease in the expression level of ROCK1,p-p38MAPK,TWIST1,N-cadherin,and Vimentin,as well as a significant increase in the expression level of E-cadherin(P＜0.05).No signifi-cant difference in the expression level of p38MAPK was observed(P＞0.05).The cell proliferation,invasion,and mi-gration ability decreased in the test group,whereas the apoptosis rates significantly increased(P＜0.05).miR-138-5p was lowly expressed in SACC,and miR-138-5p mimic can significantly downregulated the luciferase activity of 293T cells after transfection with a RhoC wild-type plasmid(P＜0.05).Conclusion RhoC is highly expressed in SACC,and RhoC silencing may target the downstream ROCK1/p38MAPK/TWISTl signaling pathway,thereby in-hibiting the proliferation,invasion,migration,and EMT of SACC while promoting its apoptosis.On the contrary,miR-138-5p is lowly expressed in SACC and is a potential upstream gene of RhoC,and there may be binding sites between the two genes.

With persistent breakthrough and maturity of surgical procedures and postoperative immunosuppressive therapy, the survival rate of liver transplant recipients and grafts has been significantly increased. The shortage of donor liver has become the main obstacle for clinical development of liver transplantation. How to expand the source of donor liver has become an urgent issue. Groundbreaking progresses have been made in the use of common marginal donor livers in clinical liver transplantation, such as elderly donor liver, steatosis donor liver, viral hepatitis donor liver and liver from donation after cardiac death. Nevertheless, multiple restrictions still exist regarding the use of marginal donor liver. Consequently, the definition of marginal donor liver and research progress in the application of common marginal donor livers were reviewed, and the opportunities and challenges of mariginal donoor liver were illustrated, aiming to provide reference for expanding the donor pool for clinical liver transplantation and bringing benefits to more patients with end-stage liver disease.

Objective To comapre and analyze the differences and commonalities of expression profiles of serum exosomal microRNA between patients with thyroid nodules and healthy persons at different iodine levels,and then provide evidence for screening early diag-nostic markers of thyroid nodules at different iodine levels.Methods The peripheral blood samples from 10 patients with thyroid nod-ules and healthy volunteers at different iodine levels were collected.Their serum iodine levels were measured by the arsenic cerium cat-alytic spectrophotometry.Serum exosomal microRNA were extracted and the expression levels of microRNA were determined by the high-throughput sequencing technology.The differential target genes were predicted and further performed Gene ontology(GO)analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis.Results Compared with healthy volunteers,there were 6 downreg-ulated miRNAs in the patients with thyroid nodules at different iodine levels,namely miR-324-5p,miR-6511b-3p,miR-9903,miR-550a-3p,miR-5001-3p,and miR-3688-3p.Differentially expressed exosomal microRNA could regulate the MAPK signaling path-way,PI3K-AKT signaling pathway,VEGF signaling pathway,and NF-κB signaling pathway.Conclusion Six differentially expressed microRNAs is identified,which may serve as biological markers for the early diagnosis of thyroid nodules at different iodine levels.

ObjectiveIn order to improve the recognition accuracy of named entities in medical record texts and realize the effective mining and utilization of medical record knowledge， a Bert-Radical-Lexicon（BRL） neural network model is constructed to recognize medical record entities with respect to the characteristics of medical record texts. MethodWe selected 408 medical records related to hypertension from the the Complete Library of Famous Medical Records of Chinese Dynasties and constructed a dataset consisting of 1 672 medical records by manually labeling. Then， we randomly divided the dataset into three subsets， including the training set（1 004 cases）， the testing set （334 cases） and the validation set（334 cases）. Based on this dataset， we built a BRL model that fused various text features of medical records， as well as its variants BRL-B， BRL-L and BRL-R， and a baseline model Base for experiments. During the model training phase， we trained the above models using the training set to reduce the risk of overfitting. We continuously monitored the performance of each model on the validation set during training and saved the model with the best performance. Finally， we evaluated the performance of these models on the testing set. ResultCompared with other models， the BRL model had the best performance in the medical records named entity recognition task， with an overall recognition precision of 90.09%， a recall of 90.61%， and the harmonic mean of the precision and recall（F1） of 90.35% for eight types of entities， including disease， symptom， tongue manifestation， pulse condition， syndrome， method of treatment， prescription and traditional Chinese medicine（TCM）. Compared with the Base model， the BRL model improved the overall F1 value of entity recognition by 5.22%， and the F1 value of pulse condition entity increased by 6.92%， which was the largest increase. ConclusionBy incorporating a variety of medical record text features in the embedding layer， the BRL neural network model has stronger named entity recognition ability， and thus extracts more accurate and reliable TCM clinical information.

Since the 1970s， patients with chronic pancreatitis （CP） have benefited from total pancreatectomy with autologous islet cell transplantation （TPAIT）. With the continuous development of surgical techniques and perioperative management over the past few decades， there have been improvements in islet cell function， insulin independence rate， and the survival rate of patients. This article summarizes the preoperative indications for TPAIT， the development of surgical operations， postoperative management and monitoring， and prognosis， so as to help clinicians learn more about TPAIT.

Objective:To apply broaden-and-build theory to the family nursing of children with asthma, and observe its effect on children's condition control, main caregivers' negative emotion and family function.Methods:This study is a historical control study. The control group included 148 groups of children's families who were treated in the Child Respiratory Department of the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University from January 2019 to June 2020, and the observation group included 122 groups of children's families who were hospitalized from January to July 2021. The control group implemented the routine in-hospital nursing and continuous nursing plan, while the observation group implemented the asthma family broaden-and-build nursing model. We observed the recurrence of the two groups of children six months after discharge, assessed the asthma control of the two groups using the Childhood Asthma Control Test, evaluated the depression, anxiety and stress of the main caregivers before and six months after discharge using the Depression Anxiety Stress Scale, and assessed the family function using the Family Assessment Device.Results:The number of recurrence and rehospitalization of children in the observation group was less than that in the control group, the duration of attack was shorter than that in the control group, and the score of Childhood Asthma Control Test was higher than that in the control group, with statistical differences ( P<0.05). Six months after discharge, the scores of anxiety, depression and stress of the main caregivers in the observation group were significantly lower than those in the control group, and the difference was statistical ( P<0.05). The score of family communication and emotional intervention in the observation group was lower than that in the control group before discharge, and the scores of children's families in the observation group in all dimensions of family function were lower than those in the control group six months after discharge, and the differences were statistically significant ( P<0.05) . Conclusions:Asthma family broaden-and-build nursing model can effectively control the condition of asthma in children, reduce the negative emotions of main caregivers, and improve their family functions.

Objective To investigate the characteristics of pathogenic bacteria in cancer patients with severe infection after radiotherapy and chemotherapy and the application value of metagenomic next-generation sequencing(NGS)in the detection of pathogenic bacteria.Methods A total of 112 patients with severe infection after malignant tumor radiation and chemotherapy admitted to Department of Critical Care Medicine of Wuwei Tumor Hospital from October 2019 to August 2023 were selected as the research objects.A total of 150 specimens from suspected infection sites were collected and tested by traditional etiology and NGS.The characteristics of pathogenic bacteria in severe infection of cancer patients after chemoradiotherapy and the application value of NGS in pathogen detection were analyzed.Results Among 150 samples of 112 patients with severe infection after radiotherapy and chemotherapy,the highest proportion of respiratory system infection was 51.79%(58 cases),followed by 25.89%(29 cases)of bloodstream infection,the lowest central nervous system infection rate was 1.79%(2 cases).Gram-negative bacteria were the most common pathogenic bacteria[NGS 35.33%(53 cases),traditional pathogen detection 23.33%(35 cases)],followed by Gram-positive bacteria[NGS 20.67%(31 cases),traditional pathogen detection 12.00%(18 cases)],and multi-drug resistant bacteria infection rate was more than 80.00%,multi-drug resistant fungal infection rate also reached 28.57%.In the patients with severe infection after radiotherapy and chemotherapy,the positive rate of pathogenic bacteria of NGS was significantly higher than that of traditional pathogen detection[87.33%(131/150)vs.42.67%(64/150),P＜0.01],and the positive detection rate of Gram-negative bacteria,Gram-positive bacteria,fungi and other pathogens was significantly higher than that of traditional pathogen detection[Gram-negative bacteria:35.33%(53/150)vs.23.33%(35/150),Gram-positive bacteria:20.67%(31/150)vs.12.00%(18/150),fungi:22.67%(34/150)vs.6.67%(10/150),others:8.67%(13/150)vs.0.67%(1/150),both P＜0.05].Conclusions The detection rate of pathogenic bacteria of NGS in patients with severe infection after radiotherapy and chemotherapy was significantly higher than that of traditional pathogen detection.The distribution and drug resistance of pathogenic bacteria in severe infection after radiotherapy and chemotherapy are unique,and strengthening the detection of pathogenic bacteria is helpful to improve the curative effect.

Intrauterine cigarette smoke exposure(ICSE)refers to a condition under which pregnant women actively inhale and/or passively inhale cigarettes and smogs mostly consisting of nicotine, tar and carbon monoxide during the first, second and third trimesters of pregnancies.As an adverse environmental factor in early life, ICSE is associated with increased risks of various diseases at childhood and adulthood.ICSE is closely related with children′s cognitive and behavioral developmental disorders.It has been reported that ICSE led to elevated risks of cognitive impairments including disorders in fine motor skills, language and vocabulary, reading comprehension, matrix reasoning, working memory, learning skills, orientation and other capabilities.Additionally, it is associated with increased risks of attention deficit hyperactivity disorder and sleep disorder, but the association with autism spectrum disorder is still controversial.The review focuses on the effects of ICSE on cognitive and behavioral development, and summarizes the underlying mechanisms, providing more clinical ideas for etiological studies of cognitive and behavioral developmental disorders in children.