OBJECTIVE To evaluate the efficacy and safety of immune checkpoint inhibitors （ICIs） combined with neoadjuvant chemotherapy in the treatment of early triple-negative breast cancer （TNBC）. METHODS Randomized controlled trials （RCTs） comparing ICIs combined with neoadjuvant chemotherapy （experimental group） versus neoadjuvant chemotherapy alone （control group） were retrieved from PubMed， Cochrane Library， Embase， Web of Science， CNKI， Wanfang Data， and VIP databases， as well as relevant studies published at oncology academic conferences. The search period was from database inception to June 30， 2025. After literature screening， data extraction， and quality assessment， a meta-analysis was performed by using RevMan 5.4 software. RESULTS A total of 6 RCTs involving 3 786 patients were finally included. The meta-analysis results showed that the experimental group had superior event-free survival [HR＝0.73， 95%CI （0.62， 0.85）， P＜0.000 1]， overall survival [HR＝0.69， 95%CI （0.57， 0.84）， P＝0.000 3]， and pathological complete response （pCR） [OR＝1.57， 95%CI （1.37， 1.80）， P＜0.000 01] compared to the control group. The incidence of ≥grade 3 adverse event （AE）， severe AE （SAE）， and ≥ grade 3 immune-related adverse event （irAE） in the experimental group was significantly higher than that in the control group. There was no statistically significant difference between the two groups in the incidence of any AE or any irAE （P＞0.05）. Subgroup analysis revealed that， regardless of programmed cell death ligand 1 expression status （negative or positive），the pCR in the experimental group was significantly higher than that in the control group （P＜0.05）. Additionally， the pCR of the patients with positive lymph nodes in the experimental group was significantly higher to that in the ontrol group （P＜0.05）. There was no statistically significant difference in pCR between the two groups with negative lymph nodes （P＝0.09）. CONCLUSIONS ICIs combined with neoadjuvant chemotherapy can significantly improve event-free survival and overall survival in patients with TNBC， providing patients with long-term survival benefits. However， the risk of ≥ grade 3 AE， SAE and ≥ grade 3 irAE has increased.

Objective: To analyze the distribution characteristics of school bullying related contents on the Douyin platform, and to provide a scientific basis for the prevention and intervention of school bullying in the online environment. Methods: Web crawler technology was employed to collect data related to school bullying from Douyin in May 2025, using 21 keywords including "school violence" and "child being beaten". A dataset comprising video titles, publisher types, and interaction metrics was constructed. After manual screening and classification, the content themes, engagement characteristics, and sentiment tendencies of titles were analyzed. Results: A total of 2 388 valid videos released between January 2019 and May 2025 were included. Physical bullying (767 cases, 32.12%) and verbal bullying (534 cases, 22.36%) were the most common types. Content themes differed significantly across account types ( χ 2=782.85, P <0.01). Official media accounts predominantly focused on case reports ( AR = 14.52 ) and legal updates ( AR =5.49), and social media influencer accounts preferred scenario reenactments ( AR =4.07) and film clips ( AR =3.83), while ordinary users focused on coping strategies ( AR =8.76). Account types had a stronger effect on engagement metrics than content themes (all P <0.01). Sentiment analysis of titles revealed that official media accounts tended toward negative sentiment ( AR = 6.41), social media influencer accounts toward neutral sentiment ( AR =2.47), and ordinary users toward positive sentiment ( AR =4.44). Keyword analysis showed high frequency terms related to responsible parties such as "children" "parents", and "classmates" , while demand oriented words like "how" were prominent. Conclusions School bullying related contents on Douyin demonstrate significant dissemination stratification by account type, and the dissemination effect is significantly influenced by the type of content publisher. There is a clear public demand for practical guidance on bullying prevention and intervention strategies.

BACKGROUND: Cervical squamous cell carcinoma (CESC), the most common subtype of cervical cancer, is primarily caused by the high-risk human papillomavirus (HPV) infection and genetic susceptibility. Single-cell RNA sequencing (scRNA-seq) has been widely used in CESC research to uncover the diversity of cell types and states within tumor tissues, enabling a detailed study of the tumor microenvironment (TME). This technology allows precise mapping of HPV infection in cervical tissues, providing valuable insights into the initiation and progression of HPV-mediated malignant transformation. METHODS: We performed the scRNA-seq to characterize gene expression in tumor tissues and paired adjacent para-cancerous tissues from four patients with early-stage CESC using the 10× Genomics platform. The HPV infection and its subtypes were identified using the scRNA data and viral sequence mapping, and trajectory analyses were performed using HPV+ or HPV- cells. Interactions between different types of keratinized cells and their interactions with other cell types were identified, and pathways and specificity markers were screened for proliferating keratinized cells. The Cancer Genome Atlas (TCGA) dataset was used to verify the prognostic correlation between tumor-specific PI3+S100A7+ keratinocyte infiltration and CESC, and the localization relationship between PI3+S100A7+ keratinocytes and macrophages was verified by immunofluorescence staining. RESULTS: Various types of keratinocytes and fibroblasts were the two cell types with the most significant differences in percentage between the tumor tissue samples and paired adjacent non-cancerous tissue samples in the early stages of CESC. We found that PI3+S100A7+ keratinocytes were associated with early HPV-positive CESC, and PI3+S100A7+ keratinocytes were more abundant in tumors than in adjacent normal tissues in the TCGA-CESC dataset. Analysis of clinical information revealed that the infiltration of PI3+S100A7+ keratinocytes was notably higher in tumors with poor prognosis than in those with good prognosis. Additionally, multiplex immunofluorescence analysis showed a specific increase in PI3+S100A7+ expression within tumor tissues, with PI3+S100A7+ keratinocytes and CD163+ macrophages being spatially very close to each other. In the analysis of cell-cell interactions, macrophages exhibited strong crosstalk with PI3+S100A7+ proliferating keratinocytes in HPV-positive CESC tumors, mediated by tumor necrosis factor (TNF), CCL2, CXCL8, and IL10, highlighting the dynamic and tumor-specific enhancement of macrophage-keratinocyte interactions, which are associated with poor prognosis and immune modulation. Using CIBERSORTx, we discovered that patients with high infiltration of both PI3+S100A7+ proliferating keratinocytes and macrophages had the shortest overall survival. In the analysis of cell-cell interactions, PI3+S100A7+ proliferating keratinocytes and macrophages were found to be involved in highly active pathways that promote differentiation and structure formation, including cytokine receptor interactions, the Nuclear Factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling pathway, and TNF signaling pathway regulation. Further subtyping of fibroblast populations identified four subtypes. The C1 group, characterized by its predominance in tumor tissues, is a subtype enriched with cancer-associated fibroblasts (CAFs), whereas the C3 group is primarily enriched in adjacent non-cancerous tissues and consists of undifferentiated cells. Moreover, the distinct molecular and cellular differences between HPV16- and HPV66-associated tumors were demonstrated, emphasizing the unique tumor-promoting mechanisms and microenvironmental influences driven by each HPV subtype. CONCLUSIONS We discovered a heterogeneous population of keratinocytes between tumor and adjacent non-cancerous tissues caused by HPV infection and identified macrophages and specific CAFs that play a crucial role during the early stage in promoting the inflammatory response and remodeling the cancer-promoting TME. Our findings provide new insights into the transcriptional landscape of early-stage CESC to understand the mechanism of HPV-mediated malignant transformation in cervical cancer.
Humans ; Female ; Papillomavirus Infections/genetics* ; Uterine Cervical Neoplasms/genetics* ; Carcinoma, Squamous Cell/pathology* ; Keratinocytes/metabolism* ; Single-Cell Analysis/methods* ; Tumor Microenvironment/genetics*

ObjectiveTo investigate the triglyceride-glucose (TyG) index and the level of serum homocysteine (Hcy) in association with the incidence of stroke in type 2 diabetes mellitus (T2DM) patients. MethodsBased on the chronic disease risk factor surveillance cohort in Pudong New Area, Shanghai, excluding those with stroke in baseline survey, T2DM patients who joined the cohort from January 2016 to October 2020 were selected as the research subjects. During the follow-up period, a total of 318 new-onset ischemic stroke patients were selected as the case group, and a total of 318 individuals matched by gender without stroke were selected as the control group. The Cox proportional hazards regression model was used to adjust for confounding factors and explore the serum TyG index and the Hcy biochemical indicator in association with the risk of stroke. ResultsThe Cox proportional hazards regression results showed that after adjusting for confounding factors, the risk of stroke in T2DM patients with 10 μmol·L⁻¹-¹ and Hcy>15 μmol·L⁻¹ was 1.532 times (95%CI: 1.017‒2.309 times, P=0.041) and 1.738 times (95%CI: 1.119‒2.699 times, P=0.014) higher respectively, compared to T2DM patients with Hcy≤10 μmol·L⁻¹. T2DM patients with TyG>9.074 had 1.396 times higher risk of stroke (95%CI: 1.091‒1.787, P=0.008) compared to those with TyG≤9.074. The study found that urea and α1-antitrypsin (α1-AT) were independent risk factors for the incidence of stroke in T2DM patients. For every unit increase in urea andα1-AT, the risk of stroke in T2DM patients increased by 233.6% (HR=3.336, 95%CI: 1.588‒7.009, P=0.001) and 11.3% (HR=1.113, 95%CI: 1.028‒1.205, P=0.008), respectively. Cumulative risk curves showed that Hcy>10 μmol·L⁻¹ and TyG>9.074 accelerated the time to stroke occurrence in T2DM patients. ConclusionElevated levels of Hcy>10 μmol·L⁻¹ and a higher TyG index are risk factors for stroke in T2DM patients. Effective interventions for Hcy and TyG should be conducted for diabetic patients to reduce the incidence of stroke.

ObjectiveTo investigate the correlation between iron metabolism parameters and various syndrome types of unstable angina pectoris （UAP）. MethodsA cross-sectional study was conducted from October 2021 to October 2023， encompassing 213 patients diagnosed with UAP at Xiyuan Hospital of Chinese Academy of Chinese Medical Sciences. Additionally， 30 healthy individuals were selected as control cases. Single-factor analysis was used to investigate the differences in clinical data among different Traditional Chinese Medicine （TCM） syndrome types of UAP and their correlation with iron metabolism indices. The study conducted a comparative analysis of the aforementioned clinical data among patients with and without heat-toxic and blood-stasis syndrome. Logistic regression was used to analyze the correlation between TCM syndrome types and related factors. The receiver operator characteristic （ROC） curve was employed to assess the predictive value of iron metabolism indices， along with their sensitivity and specificity. ResultsCompared to those in the control group， serum iron （SI） and serum ferritin （SF） levels were significantly increased in the UAP group （P<0.01）， while transferrin （TRF） and total iron binding capacity （TIBC） levels were decreased （P<0.01）. However， there was no significant difference in unsaturated iron binding capacity （UIBC）. Multivariate binary Logistic regression analysis identified apolipoprotein A1 （ApoA1）， homocysteine （HCY）， high-sensitivity C-reactive protein （hs-CRP）， and SF as independent influencing factors for the UAP patients （P<0.05， P<0.01）. Additionally， statistically significant differences were observed in SI， SF， TRF， and TIBC among 213 patients with different TCM types （P<0.01）. Patients with heat-toxic and blood-stasis syndrome had higher SI and SF values than those without the syndrome （P<0.01）， while their TIBC and TRF values were lower （P<0.01）. Multivariate binary logistic regression analysis showed that SI and LDL-C levels were closely associated with the differentiation of heat-toxic and blood-stasis syndrome. ConclusionUAP patients often experience iron metabolism disorders， and the heat-toxic and blood-stasis syndrome are significantly correlated with iron metabolism parameters. The SI and LDL-C levels have high specificity and sensitivity in diagnosing heat-toxic and blood-stasis syndrome.

Objective : To explore the role and mechanism of plasmalemma vesicle-associated protein(PLVAP) in the progression of hepatocellular carcinoma(HCC). Methods : Bioinformatic analysis, quantitative real-time PCR, Western blot and immunohistochemistry were used to analyze the expression level of PLVAP in HCC and paracancerous tissues, and its correlation with clinicopathological characteristics. Stable HCC cell lines with knockdown and overexpression of PLVAP were constructed, then cell proliferation, migration and invasion of HCC cells were examined by CCK-8, foci formation assays, wound-healing assays and Transwell assays. Western blot was used to detect the protein levels of phosphatidylinositol 3-kinase PI3K, phosphorylated phosphatidylinositol 3-kinase p-PI3K, protein kinase B AKT and phosphorylated protein kinase B p-AKT in the PI3K/AKT pathway after PLVAP knockdown and overexpression. Cell proliferation, migration and invasion were also examined in PLVAP-overexpressed cells after treatment of LY294002, an inhibitor of the PI3K/AKT pathway. Results : The expression of PLVAP was significantly higher in HCC tissues than that in adjacent non-tumor tissues(P<0.05), and was positive correlated with tumor stage, T stage, M stage, and microvascular invasion(P<0.05). Knockdown of PLVAP significantly reduced the proliferation, migration and invasion of HCC cells(P<0.001), while overexpression of PLVAP significantly increased the proliferation, migration and invasion of HCC cells(P<0.01). Western blot analysis revealed that knockdown of PLVAP decreased the protein expression levels of p-PI3K and p-AKT, overexpression of PLVAP increased the protein expression levels of p-PI3K and p-AKT, whereas the PI3K/AKT inhibitor LY294002 eliminated the effects of PLVAP on cell proliferation, migration and invasion(P<0.01). Conclusion PLVAP is highly expressed in HCC and may promote HCC progression by activating the PI3K/AKT signaling pathway.

ObjectiveTo investigate the therapeutic effect of Siegesbeckiae Herba water decoction （SWD） at different doses on atherosclerosis （AS） in a mouse model induced by a high-fat diet and analyze its potential mechanism of action. MethodsThirty-six male ApoE^-/- mice were randomly divided into six groups： blank control group， model group， low-dose， medium-dose， and high-dose SWD groups， and positive control group. Firstly， the AS mouse model was created by feeding mice a high-fat diet. After successful modeling， the low-， medium-， and high-dose SWD groups were intragastrically administered with SWD at 0.65， 1.3， 2.6 g·kg^-1， respectively. The positive control group was intragastrically administered with 30 mg·kg^-1 of atorvastatin calcium aqueous solution， while the blank and model groups received an equal volume of 0.9% sodium chloride solution via oral gavage， all administered for 12 weeks. During the administration period， the general condition of the mice was observed and recorded daily. Before sampling， color Doppler ultrasound was performed to observe the pathological changes in atherosclerotic plaques in the aortic wall of mice. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in aortic tissue in mice， and oil red O staining was used to detect the atherosclerotic plaque area in the aorta. Enzyme-linked immunosorbent assay （ELISA） was used to detect the serum lipid indices and the levels of interleukins （IL-1β， IL-4， IL-6， and IL-10） and tumor necrosis factor-α （TNF-α） in mice. Protein expression levels of IKKα， IKKβ， and NF-κB p65 in mouse aortic tissue were detected by Western blot. ResultsCompared with the blank control group， the model group showed a significant increase in body weight. The results of color Doppler ultrasound showed enhanced vascular wall echo， suggesting the presence of atherosclerotic plaques. HE staining showed foam cell aggregation， fibrous connective tissue proliferation， and vascular intima injury in the aortic tissue. Oil red O staining showed a significant increase in the plaque area in the aortic tissue （P<0.01）. ELISA results indicated significantly elevated levels of IL-1β， IL-6， TNF-α， total cholesterol （TC）， triglyceride （TG）， and low-density lipoprotein （LDL） in mouse serum （P<0.01）， as well as significantly decreased levels of IL-4， IL-10， and high-density lipoprotein （HDL） （P<0.01）. Western blot results showed that the expression of IKKα， IKKβ， and NF-κB p65 in mouse aortic tissue increased significantly （P<0.01）. Compared with those in the model group， mice in the middle- and high-dose SWD groups showed significant weight loss. In the high-dose group， the aortic vascular wall echoes were weakened， and the atherosclerotic plaques were reduced. The aortic lesions of mice in the medium- and high-dose SWD groups were significantly alleviated. The plaque area percentage showed an inverse correlation with the administered dose in all groups treated with SWD （P<0.05）. In the medium-dose SWD group， serum levels of IL-1β， IL-6， TNF-α， TC， TG， and LDL were significantly decreased （P<0.05， P<0.01）， while those of IL-4 and IL-10 were significantly increased （P<0.01）. In the high-dose SWD group， levels of IL-1β， IL-6， TNF-α， TC， TG， and LDL were significantly decreased （P<0.01）， while IL-4， IL-10， and HDL were significantly increased （P<0.01）. The IKKα and IKKβ expression was significantly decreased in the low-dose SWD group （P<0.05）， and IKKα， IKKβ， and NF-κB p65 were significantly decreased in the medium- and high-dose SWD groups （P<0.05， P<0.01）. ConclusionSWD may exert therapeutic effects on AS by regulating the expression of related inflammatory factors through the NF-κB signaling pathway， thereby reducing inflammation， plaque area， and lipid content in the body.

Objective:To explore the correlation between skeletal muscle mass and strength with metabolic syndrome in children.Methods:This cross-sectional study was conducted involving 383 children aged 10 to 15 years who visited the Department of Child Health Care, Children′s Hospital of Nanjing Medical University from June 2021 to December 2022. Their height, weight, waist circumference, body composition, grip strength and blood pressure were measured. Relative skeletal muscle mass, muscle-to-fat ratio, and grip strength-to-body weight index were calculated. The levels of fasting blood glucose, lipids and insulin were tested. Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated. Children were divided into the metabolic syndrome group and the non-metabolic syndrome group. Independent t test or Mann-Whitney U test etc. was used to compare the difference between groups. Spearman correlation analysis and binary Logistic regression were used to investigate the correlation between skeletal muscle mass and strength and metabolic syndrome. The area under the curve (AUC) of receiver operating characteristic (ROC) curve was used to compare the accuracy of the index of skeletal muscle in predicting metabolic syndrome in children. Results:Among the 383 children, 282 (73.6%) were male, at the age of 11.4 (10.6, 12.5) years. There were 216 children (56.4%) diagnosed with obesity and 90 children (23.5%) diagnosed with metabolic syndrome. Relative skeletal muscle mass, muscle-to-fat ratio, and grip strength-to-body weight index of the metabolic syndrome group were all lower than those in the non-metabolic syndrome group (all P<0.001). After adjusting for sex and age, relative skeletal muscle mass, muscle-to-fat ratio, and grip strength-to-body weight index were all negatively correlated with body mass index ( r=-0.84, -0.38, -0.63), waist circumference ( r=-0.76, -0.36, -0.70), systolic blood pressure ( r=-0.42, -0.21, -0.38), diastolic blood pressure ( r=-0.33, -0.18, -0.24), triglycerides ( r=-0.29, -0.13, -0.23), fasting insulin ( r=-0.28, -0.20, -0.29), and HOMA-IR ( r=-0.26, -0.18, -0.26) (all P<0.05), and positively correlated with high-density lipoprotein cholesterol ( r=0.38, 0.13, 0.31, all P<0.01). After adjusting for sex and age, high relative skeletal muscle mass, high muscle-to-fat ratio, and high grip strength-to-body weight index all decreased the risks of metabolic syndrome ( OR=0.80, 0.55, 0.90), obesity ( OR=0.53, 0.64, 0.82), hypertension ( OR=0.86, 0.58, 0.92), low high-density lipoprotein cholesterol ( OR=0.83, 0.62, 0.92), hypertriglyceridemia ( OR=0.88, 0.78, 0.96). After adjusting for sex and age, high relative skeletal muscle mass and high grip strength-to-body weight index all decreased the risks of hyperglycemia ( OR=0.93 and 0.95, all P<0.05). ROC curve analysis showed that the relative skeletal muscle mass, muscle-to-fat ratio, and grip strength-to-body weight index all had good predictive accuracy of metabolic syndrome in children (AUC=0.79, 0.71, 0.76), with optimal cutoff values of 40%, 1.2, and 35%, respectively. Conclusions:High relative skeletal muscle mass, high muscle-to-fat ratio, and high grip strength-to-body weight index are all protective factors for metabolic syndrome in children. Regular measurement of skeletal muscle mass and grip strength can aid in the early identification and prevention of obesity and metabolic syndrome during childhood .

Objective To observe the efficacy of nomogram model based on enhanced MRI radiomics,deep learning(DL)and clinical features for differentiating spinal tuberculosis and pyogenic spondylitis.Methods Totally 59 cases of spinal tuberculosis and 66 of pyogenic spondylitis were retrospectively enrolled.Radiomics,DL and clinical features relevant to differentiating spinal tuberculosis and pyogenic spondylitis were selected.Then a predictive model was constructed using logistic regression based on the selected optimal features,and a comprehensive nomogram model was developed through combination of the above features.The effectiveness of these models for distinguishing spinal tuberculosis from pyogenic spondylitis were visualized based on receiver operating characteristic curves,calidration curves and decision curves.Results The nomogram model demonstrated the highest area under the curve(AUC)in both training set and test set,with AUC of 0.997 and 0.920,respectively.In test set,DeLong test indicated that the difference of AUC between the nomogram model and clinical model was significant(P=0.002),while no significant difference was observed between the nomogram model and the other models(all P＞0.05).The nomogram model provided the highest overall net benefit and exhibited good calibration for distinguishing spinal tuberculosis from pyogenic spondylitis.Conclusion Nomogram model based on enhanced MRI radiomics,DL and clinical features demonstrated high efficacy for differentiating spinal tuberculosis from pyogenic spondylitis.