To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions.

Objective To explore the correlations between interleukin-6(IL-6),interleukin-8(IL-8),antimicrobial peptide LL-37 and the microbial abundance and the degree of mucosal injury in patients with trichomonal vaginitis(TV).Methods A total of 120 TV patients admitted from January 2022 to December 2024 were selected and divided into the occurrence group(n=63)and the non-occurrence group(n=57)according to presence and absence of mucosal injury.The general data,IL-6,IL-8,LL-37 and microbial abundance were compared between the two groups.According to the degree of mucosal injury,the occurrence group was divided into the mild subgroup(n=34),the moderate subgroup(n=20),and the severe subgroup(n=9).Pearson correlation analysis was applied to investigate the correlations between IL-6,IL-10,antimicrobial peptide LL-37,microbial abundance and the degree of mucosal injury.Multivariate logistic regression was used to analyze the influencing factors of mucosal injury in TV patients.The receiver operating characteristic curve(ROC)was used to evaluate the predictive value of relevant indicators for mucosal injury in TV patients.Result The levels of IL-6,IL-8,antimicrobial peptide LL-37,and the abundance of Actinobacteria and Gardnerella in the occurrence group were higher than those in the non-occurrence group,while the abundance of Firmicutes and Lactobacillus was lower than that in the non-occurrence group(P<0.05,P<0.01).Pearson correlation analysis showed that IL-6,IL-8,antimicrobial peptide LL-37,and abundance of Actinobacteria and Gardnerella were positively correlated with the degree of mucosal injury(r=0.543,0.713,0.352,0.409,0.659,P<0.01),while the abundance of Firmicutes and Lactobacillus was negatively correlated with the degree of mucosal injury(r=-0.540,-0.504,P<0.01).Multivariate logistic regression analysis showed that IL-6,IL-8,antimicrobial peptide LL-37,and abundance of Actinobacteria were risk factors for mucosal injury in TV patients,while the abundance of Firmicutes and the abundance of Lactobacillus were protective factors(P<0.05).The ROC curve showed that the area under the ROC curve(AUC)of the combined detection of IL-6,IL-8,antibacterial peptide 37,and the abundance of Actinobacteria,Firmicutes,and Lactobacillus in evaluating mucosal injury in TV patients was higher than that of the single detection(P<0.01).Conclusion IL-6,IL-8,antimicrobial peptide LL-37 and microbial abundance are closely related to the degree of mucosal injury in TV patients.The combined detection has a high value in evaluating the occurrence of mucosal injury in TV patients.

Objective:To compare four postmastectomy radiotherapy plans with different arc angles for left-sided breast cancer prepared using deep inspiration breath hold (DIBH) technique, in order to explore the feasibility of selecting optimal arc angles based on the parameters of patients′ anatomical structures.Methods:A total of 51 patients who underwent postmastectomy radiotherapy for left-sided breast cancer using DIBH at the Second Affiliated Hospital of Guangxi Medical University and the First Affiliated Hospital of Guangzhou Medical University were selected. Among these, 40 patients selected using simple random sampling were treated with four radiotherapy plans with different arc angles, labeled as SV120, SV100, SV80, and SV60, while the remaining 11 patients were treated with only the SV60 plans. The dose parameters of the target volumes (TVs) and organs at risk (the heart, lungs, and contralateral breast), as well as the beam-on times of individual arcs, in these plans were compared. The parameters of the anatomical structures (i.e., the heart, lung, and breast) of the 51 patients, including PHeart, PLungl, and PBreast, were extracted. Taking these parameters as independent variables and the quality of the SV60 plans as the dependent variable, fitting was conducted using P(SV60)—a multivariate logistic regression model—based on a training set (45 patients) and a testing set (six patients). The classification threshold of the plans was set at 0.5. Results:As the arc angle increased, the plans exhibited improved modulation capabilities for TVs and the left lung. However, the V5 of the right lung and the average beam-on time of a single arc also increased. The SV120 plans demonstrated significantly better V107% of planning target volume (PTV; 6.84%), homogeneity index (HI; 0.13), conformity index (CI; 0.81), and mean dose to the left lung (1 330.97 cGy) compared to the other three types of plans, with statistically significant differences ( W = 0-99, P < 0.001). The SV60 plans displayed lower mean doses to the contralateral breast (198.97 cGy) and the heart (440.35 cGy) and lower V5 of the right lung (0.27%) than the other three types of plans, with significant differences in V5 of the right lung and the mean dose to the contralateral breast ( W = 0-157, P < 0.001). In contrast, no significant difference was observed in these parameters (except for V5 of the right lung) among the other three types of plans. The four types of plans exhibited average beam-on times of individual arcs of 22.0, 19.1, 16.1, and 14.4 s, respectively, with statistically significant differences ( χ2= 93.0, P < 0.001). A multivariate logistic regression model revealed that PLungl, PHeart, and PBreast were negatively correlated with the quality of the SV60 plans ( t = -64.84, -28.20, -24.45, P<0.001). This model yielded an accuracy of 93.33% and a precision of 92.86% in the training set, while its accuracy and precision reached 100% in the testing set. Conclusions:For patients treated with postmastectomy radiotherapy for left-sided breast cancer using DIBH, it is feasible to select appropriate arc angles based on patients’ anatomical structures.

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 observe the correlations of metabolite levels in medial prefrontal cortex(mPFC)and cancer-related depression(CRD)in patients with non-small cell lung cancer(NSCLC).Methods Totally 38 NSCLC patients were prospectively enrolled and divided into CRD group(n=23)and non CRD group(n=15)based on Hamilton depression scale(HAMD-17).Meanwhile,22 healthy individuals were taken as control group.1 H-MR spectroscopy was performed using Meshcher-Garwood point resolved spectroscopy sequence,then metabolite levels of mPFC were measured,and their correlations with HAMD-17 score were analyzed.Results Significant differences of gamma-aminobutyric acid(GABA)+/Water and glutamate/glutamine complex(Glx)/Water in mPFC were found among 3 groups.GABA+/Water in mPFC of CRD group was significantly lower than that of the other 2 groups(both P＜0.05),and Glx/Water in mPFC of CRD group was significantly lower than that of control group(P=0.034).In NSCLC patients,GABA+/Water in mPFC was negatively correlated with HAMD-17 score(r=-0.491,P=0.002).Conclusion GABA+/Water in mPFC was negatively correlated with HAMD-17 score in NSCLC patients.

Aim To explore the possible regulatory effect of leptin on acyl-CoA synthetase long chain fami-ly member ACSL5 and their effect on migration and in-vasion of breast cancer cell,and to explore the underly-ing mechanism.Methods The expression of leptin receptor was detected by immunofluorescence assay.The migration and invasion ability of MCF-7 cells were detected by wound healing assay and Transwell assay respectively.The downstream target gene of leptin was analyzed by PCR microarray data.The expression of ACSL5 in breast cancer and its correlation with the staging and prognosis of breast cancer patients were as-sessed uing bioinformatics methods.The expression of ACSL5 in MCF-7 cells treated with different concentra-tions of leptin was detected using real time fluorescence quantitative polymerase chain reaction(RT-qPCR).Overexpressing ACSL5 was constructed by lentiviral transfection;the expressions of EMT related proteins,AMPK-α and p-AMPK-α were detected by Western blot.Results Leptin promoted breast cancer cell mi-gration and invasion and EMT.ACSL5 was significant-ly low expressed in breast cancer and related to progno-sis.Leptin downregulated the expression of ACSL5 through OBR.Leptin activated AMPK pathway to downregulate ACSL5 and promote migration,invasion and EMT of breast cancer cells.Conclusions Leptin may promote the migration,invasion and EMT of breast cancer by downregulating ACSL5 through activating AMPK pathway.

Non-small cell lung cancer(NSCLC)is one of the most common and deadly malignant tumors worldwide,with surgical resection being the primary treatment for early-stage NSCLC.Tumor spread through air spaces(STAS)is a novel pattern of tumor dissemination into the air spaces in the lung.Its occurrence after sublobar resection is closely associated with recurrence and distant metastasis,making its con-sideration a vital factor in surgical strategy selection and prognostic evaluation.Patients with STAS-positive status exhibit significantly higher postoperative recurrence rates than do STAS-negative patients,with molecular mechanisms involving tumor microenvironment remodeling,specific genetic mutations,and epithelial-mesenchymal transition(EMT).Imaging techniques including computed tomography(CT)and positron emission tomography/CT have shown potential for preoperative STAS prediction,although their accuracy and practicality require improvement.This paper reviews the definition,pathological characteristics,and related mechanisms of STAS,with a focus on surgical ap-proach selection for STAS-positive patients and its role in cancer recurrence after sublobar resection of early-stage NSCLC.Future research directions include optimization of preoperative diagnostic methods for STAS,exploration of molecular targeted therapies,and development of imaging-based precision prediction models.

Objective:To construct a nursing quality evaluation indicator system for pulse indicator continuous cardiac output (PiCCO) monitoring and provide a basis for evaluating the nursing quality of PiCCO monitoring.Methods:Using Donabedian′s "structure-process-result" three-dimensional quality evaluation model as the theoretical framework, the nursing quality evaluation indicator system for PiCCO was established through literature search, Delphi expert correspondence, and hierarchical analysis during the period May to August 2023.Results:Of the 22 experts, 6 were male and 16 were female, aged (46.59 ± 4.34) years. The return rates of the questionnaires of the 2 rounds of expert correspondence were both 100%, the coefficients of expert authority were both 0.945, and the Kendall coordination coefficients were 0.045-0.186 ( χ2 values were 2.00-221.46, all P<0.05) and 0.045-0.132 ( χ2 values were 2.00-82.16, all P<0.05), respectively. The finalized nursing quality evaluation indicator system for PiCCO included 3 primary indicators, 7 secondary indicators, and 36 tertiary indicators. Conclusions:The nursing quality evaluation indicator system for PiCCO is practical and scientific, which can provide reference for PiCCO monitoring nursing quality evaluation.

Objective:To investigate level and influencing factors of information overload of intensive care unit (ICU) patients′ decision-making agents in order to provide positive clinical interventions for improving their information overload.Methods:During March 2023 to February 2024, 302 ICU patients′ decision-making agents from the Second Affiliated Hospital of Naval Medical University of the People′s Liberation Army of China were cross-sectional surveyed by Basic Information Questionnaire, Information Overloading Scale, Decision Participation Expectancy Scale, Multidimensional Perceived Social Support Scale, State Trait Anxiety Inventory, Vickers Forest Physician Trust Scale, Decision Preparation Scale, Decision Fatigue Scale and Information Literacy Scale through convenience sampling methods.Results:In the valid 297 questionnaires, there were 172 males and 125 females in ICU patients′ decision-making agents aged 28-69(47.94 ± 8.71) years. The score of information overload was (19.65 ± 7.71), the score of perceived social support was (52.34 ± 7.87), the score of state anxiety was (60.88 ± 6.16), the score of trait anxiety was (60.09 ± 5.49), the score of physician trust was (35.34 ± 4.30), the score of preparation of decision was (27.90 ± 3.01), the score of decision fatigue was (20.61 ± 3.30), and the score of information literacy was (56.18 ± 11.46) in ICU patients′ decision-making agents. Linear regression analysis showed that age, educational level, having a common decision-maker, times of making medical decisions, type of participating in medical decision (cooperative type and proactive type), perceived social support, state anxiety, physician trust, preparation for decision making, decision fatigue and information literacy were all significant influencing factors of information overload of ICU patients′ decision-making agents ( t values were -6.76 to 7.57, all P<0.05). Conclusions:The level of information overload of ICU patients′ decision-making agents was above average. Therefore, while educating them about patients′ illness situation and inviting them to participate in decision-making, ICU medical staff should pay attention on their level of information overload, and then select simply easy communication methods and content to help them quickly understand information and make decisions according to their characteristics and information processing ability.

Aim To explore the possible regulatory effect of leptin on acyl-CoA synthetase long chain fami-ly member ACSL5 and their effect on migration and in-vasion of breast cancer cell,and to explore the underly-ing mechanism.Methods The expression of leptin receptor was detected by immunofluorescence assay.The migration and invasion ability of MCF-7 cells were detected by wound healing assay and Transwell assay respectively.The downstream target gene of leptin was analyzed by PCR microarray data.The expression of ACSL5 in breast cancer and its correlation with the staging and prognosis of breast cancer patients were as-sessed uing bioinformatics methods.The expression of ACSL5 in MCF-7 cells treated with different concentra-tions of leptin was detected using real time fluorescence quantitative polymerase chain reaction(RT-qPCR).Overexpressing ACSL5 was constructed by lentiviral transfection;the expressions of EMT related proteins,AMPK-α and p-AMPK-α were detected by Western blot.Results Leptin promoted breast cancer cell mi-gration and invasion and EMT.ACSL5 was significant-ly low expressed in breast cancer and related to progno-sis.Leptin downregulated the expression of ACSL5 through OBR.Leptin activated AMPK pathway to downregulate ACSL5 and promote migration,invasion and EMT of breast cancer cells.Conclusions Leptin may promote the migration,invasion and EMT of breast cancer by downregulating ACSL5 through activating AMPK pathway.