Objective To develop albumin-binding indocyanine green (ICG) and assess its potential for near-infrared fluorescence imaging and intraoperative navigation in lung cancer. Methods ABD-tri was recombinantly expressed by genetic engineering. Its albumin-binding capability was determined using size-exclusion chromatography, and its albumin-dependent binding to lung cancer cells was evaluated by flow cytometry. ICG was conjugated to ABD-tri to generate the fluorescent probe ABD-tri-ICG. The potential of ABD-tri-ICG for near-infrared fluorescence imaging and imaging-guided tumor resection was evaluated in mice bearing subcutaneous tumor grafts of lung cancer. Results ABD-tri was highly expressed in Escherichia coli (E. coli) and was purified to homogeneity via a simple affinity chromatography. ABD-tri bound both human and murine serum albumin, contributing to its binding to lung cancer cells. ICG was effectively conjugated to ABD-tri to produce the fluorescence probe ABD-tri-ICG after mixing and incubation at room temperature for 1 h. In mice bearing lung cancer tumor grafts, intravenously injected ABD-tri-ICG enabled clear visualization of tumors with diameters ranging from 5 to 7 mm within 0.5-24 h post-injection. The tumor grafts were resected under the guidance of ABD-tri-ICG-mediated near-infrared fluorescence imaging. Conclusion Intravenous injection of ABD-tri-ICG allows rapid and sustained visualization of lung cancer tumor grafts and enables intraoperative navigation in mice, warranting further evaluation on the clinical translation of ABD-tri-ICG.

Objective:To explore the diagnostic value of preoperative diffusion weighted imaging (DWI) histogram parameters in the depth of invasion of early rectal cancer.Methods:A total of 180 patients with early rectal cancer admitted to 904th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army from August 2020 to August 2024 were selected as the study objects. Patients were divided into intramucosal cancer group ( n=102) and submucosal cancer group ( n=78) according to the depth of tumor invasion. The general data of the two groups were compared. The intraclass correlation coefficient (ICC) was used to analyze the consistency of DWI histogram parameters extracted by the two radiologists, and the differences between the two groups were compared. Receiver operator characteristic (ROC) curve was used to analyze the predictive value of each parameter to the depth of tumor invasion. Multivariate logistic regression was used to analyze the independent influencing factors of invasion depth, and a predictive model was constructed. The ROC curve was drawn to analyze the predictive value of the model for tumor invasion depth, and the Hosmer-Lemeshow test was used to analyze the goodness of fit of the model. Results:There were statistically significant differences in age ( t=8.15, P<0.001), maximum tumor diameter ( χ2=29.29, P<0.001), endoscopic type ( χ2=20.96, P<0.001), histological type ( χ2=24.93, P<0.001) and differentiation degree ( χ2=73.35, P<0.001) between intramucosal cancer group and submucosal cancer group. The mean, variance, skewness, kurtosis, the 1 st, 10 th, 50 th, 90 th, and 99 th percentiles of the histogram parameters of DWI had good consistency (all ICC>0.75). There were statistically significant differences in the mean ( t=5.69, P<0.001), variance ( t=9.75, P<0.001), skewness ( t=10.88, P<0.001), kurtosis ( t=10.06, P<0.001), the 1 st percentile ( t=3.43, P<0.001), 10 th percentile ( t=3.59, P<0.001), 50 th percentile ( t=9.97, P<0.001), 90 th percentile ( t=4.63, P<0.001), and 99 th percentile ( t=2.44, P=0.016) of the DWI histogram parameters between the intramucosal cancer group and the submucosal cancer group. ROC curve analysis results showed that mean [area under the curve (AUC) =0.77], variance (AUC=0.88), skewness (AUC=0.88), kurtosis (AUC=0.78), 50 th percentile (AUC=0.86) and 90 th percentile (AUC=0.82) had certain diagnostic value for submucous cancer. Multivariate analysis showed that age ( OR=9.98, 95% CI: 1.10-90.70, P=0.041), maximum tumor diameter ( OR=7.36, 95% CI: 1.08-50.23, P=0.042), and differentiation degree ( OR=19.88, 95% CI: 1.21-327.92, P=0.037), variance ( OR=16.24, 95% CI: 2.26-116.68, P=0.006), skewness ( OR=21.13, 95% CI: 2.80-59.61, P=0.003), 1 st percentile ( OR=9.78, 95% CI: 1.17-81.76, P=0.035) were independent factors in predicting tumor invasion depth in patients with early rectal cancer. The predictive model based on the above indicators was logit ( P) =1.51+2.30×age+2.00×maximum tumor diameter+2.99×differentiation degree+2.79×variance+3.05×skewness+ 2.28×the 1 st percentile. ROC curve analysis showed that the predictive model had an AUC of 0.97 (95% CI: 0.95-0.99) for judging the occurrence of submucosal cancer in patients with early rectal cancer, the sensitivity was 0.95, and the specificity was 0.88. The Hosmer-Lemeshow test results showed that the goodness of fit of the model was ideal ( P=0.823) . Conclusions:Age, maximum tumor diameter, differentiation degree, variance, skewness, and the 1 st percentile are independent factors in predicting tumor invasion depth in patients with early rectal cancer. The predictive model constructed based on these factors can effectively predict the risk of submucosal cancer in patients with early rectal cancer.

Objective:To identify the core symptoms of prostate cancer patients with endocrine therapy by constructed the symptom network, and provide a basis for precise intervention of symptoms management.Methods:In a cross-sectional study, we conveniently sampled patients receiving endocrine therapy for prostate cancer at Fudan University Shanghai Cancer Center between March and August 2018. The Expanded Prostate cancer Index Composite 26-item version (EPIC-26) and the Hospital Anxiety and Depression Scale (HADS) were used to assess symptoms.Symptom networks were constructed, and network indexes and the accuracy and stability of core symptoms were computed based on various packages of R4.3.1. Subgroup network comparison tests were conducted by Prostate-specific antigen (PSA) level, stratifying patients into PSA>0.2 ng/ml and PSA≤0.2 ng/ml groups.Results:A total of 270 questionnaires were distributed, and 261 valid questionnaires were returned, yielding a valid response rate of 96.7%. The included patients were aged 43 - 87(67.81 ± 8.14) years. Symptom network analysis revealed that the core symptom in patients undergoing endocrine therapy for prostate cancer was endocrine disorder ( rs = 1.86, rc = 0.048). However, in the population with PSA ≤ 0.2 ng/ml, depression ( rs = 1.80, rc = 0.028) occupied a more central position. There was no statistically significant difference in the network structure among patients with different PSA levels ( M = 0.294, P = 0.100). But the difference in network strength was statistically significant ( S = 1.15, P<0.05). The strongest associations were observed between depression and anxiety, as well as between endocrine disorder anddepression.The network demonstrated good stability and accuracy,indicating a reliable network model. Conclusions:Endocrine disorder is the core symptom in patients undergoing endocrine therapy for prostate cancer, serving as a critical target for intervention. Special attention should be given to the interconnected effects between endocrine disorder and depression. For the population with PSA ≤ 0.2 ng/ml, negative emotions such as depression still require ongoing focus. In the future, comprehensive interventions centered on psychological support and endocrine symptom management should be implemented for prostate cancer patients receiving endocrine therapy.

Diabetes mellitus is a metabolic disease characterized by chronic hyperglycemia,which long-term loss of control can lead to complications of blood vessels of heart,renal and other multi-system,and even threaten the patient's life.Monitoring for blood glucose is crucial for adjusting treatment and preventing complications.Traditional invasive glucose monitoring technology requires frequent blood collection,which not only leads to significant pain in patients,but also poses the risk of infection at the puncture site,coupled with the reduced compliance brought about by cumbersome operation,which seriously restricts the effectiveness and continuity of blood glucose management.The non-invasive monitoring technique for blood glucose can enhance frequency of monitoring,and comfort level through optical method,biosensing method,etc.,which has key values in optimizing glycemic control,reducing risk of complications,and decreasing medical cost.It is becoming a hot point of research.This review summarized a noninvasive monitoring technique system included sample analysis method,optical method and physiological process-based method,which analyzed principles,advantages,and limitations of its development of each detection method.The review also concluded the challenges of noninvasive monitoring technique for blood glucose in some aspects included overcoming individual differences,enhancing precision of measurement,and improving accuracy and stability.In addition,it proposed some developing directions of noninvasive monitoring technique in future,such as continuous monitoring equipment with low cost,establishment of standardized database,and individual validation,so as to promote implementation of noninvasive monitoring technique for blood glucose,and realize accurate management for diabetes mellitus.

Objective:To explore the expression and ultrastructure distribution of cofilin and its potential mecha-nisms in postsynaptic mitochondrial anchoring and synaptic plasticity in the pre-B?tzinger complex(pre-B?tC)in rats.Methods:Using neurokinin 1 receptor(NK1R)as a morphological marker of the pre-B?tC,we examined the expres-sion and ultrastructure distribution of cofilin in pre-B?tC neurons of normoxic(NOR)and acute intermittent hypoxic(AIH)rats by combining Western blot,RT-qPCR,immunofluorescence,and immunoelectron microscopy.Results:Cofilin was expressed in the nuclei,somata and dendrites of NK1R-positive neurons in the pre-B?tC and its expression decreased after AIH intervention in this region detected.The results of immunoelectron microscopy showed that cofilin was expressed in the dendritic spines and postsynaptic filamentous or flocculent structures of pre-B?tC neurons.A total of 317 synapses were detected in pre-B?tC(NOR:122;AIH:195).In the NOR group,65.6％of the postsynaptic had cofilin expression,while in the AIH group,the proportion decreased to 47.2％.Combining with the role of cofilin in the regulation of actin severing,it is suggested that the severing effect of cofilin on postsynaptic actin is weakened af-ter AIH intervention,which may further enhance the postsynaptic mitochondrial anchoring.Conclusion:Cofilin,an ac-tin binding protein,plays a crucial role in regulating shearing and depolymerization of actin.Decreased cofilin expres-sion induced by AIH suggests an enhanced actin polymerization,which may be involved in the postsynaptic anchoring of mitochondria and the regulation of synaptic plasticity in the pre-B?tC.

Objective:To investigate the value of midtreatment 18F-FDG PET/CT metabolic parameters for predicting the pathological response in patients with locally advanced gastric cancer (LAGC) after neoadjuvant immunochemotherapy (NICT). Methods:Twenty-five LAGC patients (19 males, 6 females, age: (64.8±8.6) years) who underwent 18F-FDG PET/CT after NICT in Henan Cancer Hospital from August 2019 to June 2024 were retrospectively analyzed. The lesion′s ROI was delineated, then the SUV max and metabolic tumor volume (MTV) were measured, and the SUV max was divided by SUV mean of the descending aorta to obtain the tumor-to-background ratio (TBR). Patients underwent surgery after PET/CT imaging. Based on the tumor regression grade (TRG) system by the American Joint Committee on Cancer (AJCC) criteria on surgical specimen, patients were divided into responders (TRG0+ 1) and non-responders (TRG2+ 3). Independent-sample t test, Mann-Whitney U test, one-way analysis of variance, and Kruskal-Wallis rank-sum test were used to compare the differences of data. The predictive efficacy of PET/CT metabolic parameters was assessed by the ROC curve analysis. Results:Postsurgical pathology showed that 9 patients were responders and 16 were non-responders. The SUV max (3.10±1.95) and TBR (2.44±1.54) of primary lesions in responders were lower than those in non-responders (7.40±4.68, 5.85±3.74; t values: -2.61, -2.59, both P<0.05), while the MTV of primary tumors and short diameter and metabolic parameters of positive lymph nodes were not significantly different between those 2 groups ( t=-1.50, Z values: -1.09 to -0.75, all P>0.05). No significant relation was found between PET/CT parameters and pathological differentiation or Lauren classification, or other pathological features ( t values: -1.55 to 1.38, Z values: -1.84 to 0, F values: 0.12-2.43, H values: 0.13-0.98, all P>0.05). ROC curve showed that the cut-off value of SUV max for predicting postoperative TRG was 5.40, and the AUC reached 0.77 (95% CI: 0.56-0.91), with the sensitivity and specificity of 9/16, 9/9, respectively. With TBR=3.54 as the cut-off value, its AUC reached 0.77 (95% CI: 0.56-0.91), and the sensitivity and specificity were 11/16, 8/9, respectively. The sensitivity and specificity of PET/CT for predicting lymph node positivity of patients were 8/12 and 13/13, respectively. Conclusion:Interim 18F-FDG PET/CT metabolic parameters can accurately predict the pathological response of LAGC patients after NICT.

Objective:To investigate the effects of Vibrio vulnificus ( Vv) quorum-sensing protein LuxS on the homeostasis of pulmonary innate immune cells in sepsis-induced acute lung injury. Methods:This study constructed luxS knockout and complemented Vv strains. The time required for wild type, luxS knockout, and complemented Vv strains to grow to an absorbance of 600 nm in liquid medium was measured using a spectrophotometer. Iron-overloaded mice were intraperitoneally infected with 1×10 5 CFU of the above three kinds of Vv strains, respectively. Clinical scoring for sepsis-induced dyspnea was used to evaluate the respiratory quality in mice. At 7 h after infection, the pathological changes in lung tissues were observed by HE staining; the bacterial loads in lung tissues were measured; the single-cell suspension of lung tissues was analyzed by flow cytometry. Uniform manifold approximation and projection (UMAP) was used to reduce the dimension of the distribution of CD45 + immune cells in lung tissues of mice in the PBS control group and infection groups with different strains. The frequency and absolute number of innate immune cells in lung tissues were analyzed by multicolor flow cytometry. One-way analysis of variance and t test were used for statistical analysis. Results:There was no significant difference in the growth rate of wild type, luxS knockout, and complemented Vv strains in liquid medium. Compared with the mice infected with the wild type or complemented strain, the mice infected with the luxS knockout strain exhibited overall alleviated respiratory difficulty, decreased inflammatory cell infiltration in lung tissues, and reduced bacterial load in lung tissues ( P<0.05). Besides, there was no significant difference in clinical respiratory scores, inflammatory cell infiltration, or bacterial loads between the mice infected with the complemented strain and wild type strain. UMAP analysis showed that compared with the mice infected with the luxS knockout strain, the mice infected with the wild type or complemented strain showed increased proportions of neutrophils and eosinophils in lung tissues. Results of multicolor flow cytometry analysis further verified that the proportions of neutrophils and eosinophils were significantly lower in the mice infected with the luxS knockout strain than in the mice infected with wild type or complemented strain ( P<0.01, P<0.000 1), while the proportion of alveolar macrophages was significantly higher as compared with that in the mice infected with wild type or complemented strain ( P<0.01). Conclusion:During Vv infection, LuxS may promote acute lung injury by affecting the homeostasis of neutrophils, eosinophils and resident macrophages in lung tissues.

Objective:To explore the application of Symptom Checklist-90 (SCL-90) combined with the Eysenck Personality Questionnaire (EPQ) scors in diagnosis of mental disorders.Methods:This was a cross-sectional study. A total of 2 569 psychiatric outpatients aged 18-35 years who visited the Mental Health Center of Tongji Hospital from 2010-2020 were included in the study. Patients were diagnosed according the International Classification of Diseases 10th Edition (ICD-10). The psychiatric diagnoses included depressive disorders, anxiety disorders, sleep disorders, bipolar disorder, schizophrenia, stress-related and adjustment disorders, and obsessive-compulsive disorder. The diagnostic value of SCL-90 and EPQ scores for psychiatric disorders of patients was examined with univariate multivariate logistic regression analysis, and evaluated with ten-fold cross-validation, and receiver operating characteristic (ROC) curves.Results:Among the subjects, 921 were male (35.9%) and 1 648 were female (64.1%), with a mean age of (26.83±4.59) years.The main mental disorders were depressive disorders (42.1%, 1 081/2 569) and anxiety disorders (31.4%, 806/2 569). Stepwise logistic regression analysis showed that the highest diagnostic efficacy was for sleep disorders [area under the curve ( AUC)=0.795], significantly with obsessive-compulsive, depression, and anxiety factors of the SCL-90 (all P<0.05); followed by depressive disorders ( AUC=0.751), significantly with the female gender, depression, anxiety, and hostility factors of the SCL-90, and the introversion-extroversion factor of the EPQ (all P<0.05). There were moderate diagnostic efficacy for bipolar disorder ( AUC=0.712) and stress-related disorders ( AUC=0.703), and relatively poor diagnostic performance for anxiety disorders and obsessive-compulsive disorder ( AUC=0.702, 0.661). Conclusion:The combination of SCL-90 and EPQ demonstrates moderate to high diagnostic efficacy for common psychiatric disorders, indicating that it may be used in clinical mental health assessments.

This paper aims to discuss the application value and progress of artificial intelligence (AI) in the diagnosis and treatment of gastrointestinal tumors and teaching practice of gastrointestinal oncology. Through a comprehensive analysis of the current clinical research status and literature, this paper summarizes the application practice and exploratory thinking of AI and deep learning technologies in gastrointestinal oncology. In diagnosis, AI technologies have improved the early detection and diagnosis efficiency for gastrointestinal tumors by optimizing medical image analysis, especially in the recognition of liver metastases. Applications of AI in pathological diagnosis include automatic recognition of tumor cells and tissue structure, as well as improving diagnostic sensitivity and specificity through feature extraction and pattern recognition. In treatment, the application scenarios of AI include rapid diagnosis, accurate staging, personalized treatment plan formulation, drug development, and surgical assistance. In surgical assistance, AI technology improves the safety and effectiveness of surgery through preoperative evaluation, surgical navigation, and postoperative evaluation. In teaching, AI technology facilitates knowledge acquisition and clinical skill enhancement of medical students by providing a multidisciplinary learning platform, simulating clinical environment and case details, and establishing a remote learning platform. The application of AI technology in teaching also includes deep learning and assessment feedback, providing personalized teaching and real-time assessment for students. This paper discusses the application prospects for AI technology in the teaching practice of gastrointestinal oncology. Although AI technology shows great potential in the diagnosis and treatment of gastrointestinal tumors and teaching gastrointestinal oncology, it also has limitations and needs to be combined with traditional teaching methods to achieve the best teaching results.

Objective To summarize the operation experience of 1 case of ultra-long-distance single-port robotic-assisted laparoscopic renal cyst decortication using a domestic robotic system,and provide references for the development of long-distance telesurgery.Methods The procedure was performed using a domestically produced single-port robotic system.The distance between the main control end and the patient end was 2 400 km.The operation was conducted remotely via a 5G network and a 100 Mbps dedicated line provided by China Telecom.The surgeon controlled the robotic arm remotely.Results The surgery was completed smoothly within a duration of 32 min.The real-time latency was(90±20)ms.Blood loss during the operation was 10 mL,and no drainage tube was placed.The patient recovered smoothly and returned to the ward without any complications.Conclusion It is safe and feasible for the domestically produced single-port robotic system to implement ultra-long-distance telesurgery.This approach facilitates the decentralization of advanced medical resources and helps mitigate disparities in healthcare access.