With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute（CLSI）. Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus（ n=1 544，35.2%），coagulase-negative Staphylococci（ n=1 441，32.9%）， Enterococcus faecium（ n=574，13.1%）， Enterococcus faecalis（ n=385，8.8%），and α-hemolytic Streptococci（ n=187，4.3%）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）was 26.2%（405/1 544）and 69.8%（1 006/1 441），respectively. Notably，all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility（>97.0%）to cephalobiol，rifampicin，trimethoprim-sulfamethoxazole，linezolid，minocycline，tigecycline，and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium（resistance to vancomycin and teicoplanin：both 1.7%）compared to Enterococcus faecalis（both 0.3%）. The detection rates of MRSA and MRCNS exhibited significant regional variations across the country（ χ2=17.674 and 148.650，respectively，both P<0.001）. No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA（ χ2=14.111， P<0.001）and MRCNS（ χ2=4.828， P=0.028）in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA（ χ2=18.986， P<0.001）and MRCNS（ χ2=4.477， P=0.034）in less developed regions（per capita GDP

Objective:To report the results of bacterial resistant investigation collaborative system（BRICS）on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023，and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period，11 492 strains of Gram-negative bacteria were collected from 60 hospitals，of which 10 098（87.9%）were Enterobacterales and 1 394（12.1%）were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli（50.0%）， Klebsiella pneumoniae（26.1%）， Pseudomonas aeruginosa（5.1%）， Acinetobacter baumannii complex（5.0%）and Enterobacter cloacae complex（4.1%）. The ESBL-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus mirablilis were 46.8%（2 685/5 741），18.3%（549/2 999）and 44.0%（77/175），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（76/5 741）and 15.0%（450/2 999）；32.9%（25/76）and 78.0%（351/450）of CREC and CRKP were sensitive to ceftazidime/avibactam combination，respectively. 94.7%（72/76）and 90.2%（406/450）of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore，57.9%（44/76）and 79.1%（356/450）were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 64.6%（370/573），while more than 80.0% of CRAB complex was sensitive to tigecycline，eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 17.0%（99/581）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China，with statistically significant differences in the prevalence of CREC，CRKP，CRPA and CRAB complex（ χ2=10.6，28.6，10.8 and 19.3， P<0.05）. The prevalence of ESBL-producing Escherichia coli， CREC，CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals（ χ2=12.5，9.8，12.7 and 57.8，all P<0.01）. Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China，and Escherichia coli is ranked in the top，while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend，CREC infecton maintains a low prevalence level，and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.

Objective:To construct a nomogram prediction model for the malignant risk of breast lesions based on quantitative multimodal ultrasound features and clinical indicators，and to explore its clinical application value.Methods:A total of 430 patients with breast diseases（473 lesions）confirmed by pathological examination at Kunshan Traditional Chinese Medicine Hospital from August 2018 to December 2023 were retrospectively analyzed in the study. All the patients underwent routine handheld ultrasound（HHUS），automated breast volume scanning（ABVS）and ultrasound elastography（UE）examinations before biopsy or surgery. Four hundred and seventy-three breast lesions were randomly divided into training set（ n=331）and validation set（ n=142）at a ratio of 7∶3. The ABVS ultrasound features of 331 lesions in the training set were analyzed to identify the risk features of malignant breast lesions. Based on the weight of the regression coefficients β，the ABVS risk features were assigned quantitative scores for each lesion. Using pathology results as the gold standard，ROC curves were plotted to compare the diagnostic efficacy of ABVS quantitative scoring and HHUS in the training set. The variable with higher efficacy was selected for inclusion in the multivariable logistic regression analysis. Based on the identified independent predictive factors，a nomogram was constructed to quantify the malignancy risk of breast lesions. The nomogram was evaluated and validated using the area under the ROC curve（AUC），calibration curve and clinical decision curve analysis（DCA）. Results:The AUC for ABVS quantitative scoring and HHUS in distinguishing benign and malignant breast lesions were 0.941 and 0.903，respectively，with a statistically significant difference（ Z=2.081， P=0.037）. Multivariate Logistic regression analysis showed that age，ABVS quantitative score and elasticity score were independent predictors for the identification of benign and malignant breast lesions（all P<0.05）. A nomogram was constructed based on the aforementioned independent predictive factors. The AUC for the nomogram were 0.968 in the training set and 0.943 in the validation set，indicating good discrimination. The calibration curve indicated that the predicted probabilities from the nomogram were in good agreement with the actual outcomes. DCA indicated strong clinical applicability of the nomogram. Conclusions:The nomogram based on ABVS quantitative scores，elasticity scores，and age demonstrates high diagnostic value，providing a novel method for preoperative assessment of the malignancy risk of breast lesions.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective:To evaluate the safety, and feasibility of transoral robot-assisted retropharyngeal lymph node (RPLN) dissection.Methods:Clinical data of head and neck cancer patients who underwent transoral robot-assisted RPLN dissection at the Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, and Sun Yat-sen University Cancer Centre from December 2017 to March 2024 were retrospectively analyzed. A total of 35 patients(22 males, 13 females, aged 47.4±13.4 years old) with RPLN metastases from head and neck cancer, including 20 cases of nasopharyngeal cancer, 9 cases of thyroid cancer, 2 cases of salivary adenocarcinoma, 2 cases of tonsil cancer, and 2 cases of hypopharyngeal cancer. Operation time, intraoperative bleeding and complications, postoperative nasogastric tube retention time, hospital stay and complications were evaluated. Statistical analysis was performed using SPSS 22.0 software.Results:All patients successfully received transoral robot-assisted RPLN dissection without intermediate open surgery, with removals of 2 (1, 3) RPLNs. The total operation time was 130 (102, 210) minutes. The intraoperative bleeding was 50 (20, 100) ml, and there was no major bleeding or organ damage during the operation. Prophylactic tracheotomy was performed in 8 cases, and postoperatively nasogastric tubes were left in 22 patients, with retention time of 10.5 (7.5, 14.0) days. Postoperative hospital stay was 5 (4, 9) days. Postoperative complications included incision dehiscence in 4 cases and dysphagia in 4 cases. The median postoperative follow-up was 23.4 months, with progression or recurrence in 5 patients, including regional recurrence in 3 patients, lung metastasis in 1 patient, and bone metastasis in 1 patient. The 2-year regional failure-free survival and disease-free survival rates were 91.43% and 85.71%, respectively.Conclusion:Transoral robot-assisted RPLN dissection is a safe and feasible surgical method with less trauma, fewer complications, and higher safety. Patients need to be carefully selected at the initial stage of application.

Objective:To explore the clinical application value of transoral robotic surgery (TORS) in the treatment of tonsil squamous cell carcinoma (TSCC).Methods:A retrospective analysis was conducted. The clinical data of 157 TSCC patients were collected who received TORS at five medical centers, namely, the Sun Yat-sen University Cancer Center, Sun Yat-sen Memorial Hospital, Eye Ear Nose and Throat Hospital of Fudan University, the First Affiliated Hospital of China Medical University, and Tongji Hospital of Tongji Medical College, from January 1 2017 to July 31 2022. There were 130 males and 27 females, aged 24-85 years. All patients were followed-up at least for 2 years (2-year group), among them, 99 patients had a follow-up of 3 years (3-year group). The overall survival (OS), progression-free survival (PFS), clinical stage, human papillomavirus (HPV) infection status were analyzed. SPSS 25.0 and SAS 9.4 were used for statistical analysis.Results:The OS and PFS of the 2-year group were 91.7% and 87.9%, respectively. The OS and PFS of the 3-year group were 85.9% and 82.8%, respectively. The prognosis of patients with locally early-stage was better than that of locally advanced patients, with the OS of 94.4% for T1-2 vs. 78.0% for T3 ( P=0.005) and the PFS of 91.2% for T1-2 vs. 75.0% for T3 ( P=0.011) in the 2-year group; the OS of 91.1% for T1-2 vs. 65.0% for T3 ( P=0.004) and the PFS of 88.6% for T1-2 vs. 60.0% for T3 ( P=0.002) in the 3-year group; and also, the OS of 90.0% for stage Ⅰ-Ⅱ vs. 79.5% for stage Ⅲ-Ⅳ ( P=0.204) and the PFS of 86.7% for stage Ⅰ-Ⅱ vs. 76.9% for stage Ⅲ-Ⅳ ( P=0.188) in the 3-year group. The prognosis of HPV-positive TSCC patients was better than that of HPV-negative patients in the 3-year group, with the OS of 90.9% for HPV-positive vs. 80.5% for HPV-negative ( P=0.045) and the PFS of 90.9% for HPV-positive vs. 75.6% for HPV-negative ( P=0.047). The average time of postoperative tracheal cannula indwelling was 25.1 days. The indwelling rate and average indwelling time of the postoperative nasogastric tube were 94.3% (148/157) and 8.5 days, respectively. Conclusion:TORS has outstanding survival benefits for TSCC patients. HPV-positive TSCC patients have a better prognosis than HPV-negative patients. TORS treatment of TSCC patients has advantages in postoperative recovery and quality of life.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

OBJECTIVE: To explore the potential effects and mechanisms of Liang-Ge-San (LGS) for the treatment of acute respiratory distress syndrome (ARDS) through network pharmacology analysis and to verify LGS activity through biological experiments. METHODS: The key ingredients of LGS and related targets were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform. ARDS-related targets were selected from GeneCards and DisGeNET databases. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed using the Metascape Database. Molecular docking analysis was used to confirm the binding affinity of the core compounds with key therapeutic targets. Finally, the effects of LGS on key signaling pathways and biological processes were determined by in vitro and in vivo experiments. RESULTS: A total of LGS-related targets and 496 ARDS-related targets were obtained from the databases. Network pharmacological analysis suggested that LGS could treat ARDS based on the following information: LGS ingredients luteolin, wogonin, and baicalein may be potential candidate agents. Mitogen-activated protein kinase 14 (MAPK14), recombinant V-Rel reticuloendotheliosis viral oncogene homolog A (RELA), and tumor necrosis factor alpha (TNF-α) may be potential therapeutic targets. Reactive oxygen species metabolic process and the apoptotic signaling pathway were the main biological processes. The p38MAPK/NF-κ B signaling pathway might be the key signaling pathway activated by LGS against ARDS. Moreover, molecular docking demonstrated that luteolin, wogonin, and baicalein had a good binding affinity with MAPK14, RELA, and TNF α. In vitro experiments, LGS inhibited the expression and entry of p38 and p65 into the nucleation in human bronchial epithelial cells (HBE) cells induced by LPS, inhibited the inflammatory response and oxidative stress response, and inhibited HBE cell apoptosis (P<0.05 or P<0.01). In vivo experiments, LGS improved lung injury caused by ligation and puncture, reduced inflammatory responses, and inhibited the activation of p38MAPK and p65 (P<0.05 or P<0.01). CONCLUSION LGS could reduce reactive oxygen species and inflammatory cytokine production by inhibiting p38MAPK/NF-κ B signaling pathway, thus reducing apoptosis and attenuating ARDS.
Drugs, Chinese Herbal/pharmacology* ; Respiratory Distress Syndrome/enzymology* ; p38 Mitogen-Activated Protein Kinases/metabolism* ; NF-kappa B/metabolism* ; Animals ; Signal Transduction/drug effects* ; Molecular Docking Simulation ; Humans ; Male ; Network Pharmacology ; Apoptosis/drug effects* ; Mice