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The Uncanny Valley hypothesis implies that people perceive a subjective border between human and robot faces. The robot–human border refers to the level of human-like features that distinguishes humans from robots. However, whether people’s perceived anthropomorphism and robot–human borders are consistent across different robot occupations remains to be explored. This study examined the robot–human border by analyzing the human photo proportion represented by the point of subjective equality in three image classification tasks. Stimulus images were generated by morphing a robot face photo and one each of four human photos in systematically changed proportions. Participants classified these morphed images in three different robot occupational conditions to explore the effect of changing robot jobs on the robot–human border. The results indicated that robot occupation and participant age and gender influenced people’s perceived anthropomorphism of robots. These can be explained by the implicit link between robot job and appearance, especially in a stereotyped context. The study suggests that giving an expected appearance to a robot may reproduce and strengthen a stereotype that associates a certain appearance with a certain job.

Background Epilepsy is a major global health challenge, affecting approximately 50 million people across the globe and resulting in significant economic impacts on individuals and society. Oxidative stress is implicated in the pathogenesis of epilepsy, highlighting the potential of antioxidant-rich dietary patterns in offering preventive and protective benefits by mitigating oxidative stress. The Composite Dietary Antioxidant Index (CDAI) provides a measure for assessing dietary antioxidant intake, yet its link to epilepsy remains unexplored. Methods Our analysis utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning 2013 to 2018, including 20,180 screened participants. Weighted logistic regression models were employed to examine the association between the CDAI and epilepsy prevalence. Non-linear associations were explored through restricted cubic splines (RCS), and the relationships between individual antioxidant components within the CDAI and epilepsy were also assessed. Results After adjusting for potential confounders, a negative association between the CDAI and epilepsy was suggested (OR = 0.991; p  = 0.087, 95% CI [0.819,1.014]). Stratification of CDAI into quartiles revealed a significantly reduced risk of epilepsy in higher CDAI quartiles (Q3 and Q4) compared to the lowest quartile (Q1) (Q3: OR = 0.419; p  = 0.030, 95% CI [0.192, 0.914]; Q4: OR = 0.421; p  = 0.004, 95% CI [0.239, 0.742]), with a significant trend observed across quartiles (p for trend = 0.013). RCS analysis suggested a nonlinear association between CDAI levels and epilepsy (non-linear p  = 0.049), which, however, was not statistically significant after full adjustment (non-linear p  = 0.103). Additionally, significant negative correlations with epilepsy were observed for vitamin A and zinc (Vitamin A: OR = 0.999; p  = 0.012, 95% CI [0.998, 1.000]; Zinc: OR = 0.931; p  = 0.042, 95% CI [0.869, 0.997]). Conclusions Our research indicates a correlation where higher CDAI levels correspond to a reduced risk of epilepsy. Therefore, embracing a diet rich in antioxidants could be beneficial in preventing epilepsy. This finding holds considerable potential for shaping future strategies in both epilepsy prevention and treatment.

Rheumatoid arthritis (RA) is a persistent autoimmune condition characterized by synovitis and joint damage. Recent findings suggest a potential link to abnormal lactate metabolism. This study aims to identify lactate metabolism-related genes (LMRGs) in RA and investigate their correlation with the molecular mechanisms of RA immunity. Data on the gene expression profiles of RA synovial tissue samples were acquired from the gene expression omnibus (GEO) database. The RA database was acquired by obtaining the common LMRDEGs, and selecting the gene collection through an SVM model. Conducting the functional enrichment analysis, followed by immuno-infiltration analysis and protein–protein interaction networks. The results revealed that as possible markers associated with lactate metabolism in RA, KCNN4 and SLC25A4 may be involved in regulating macrophage function in the immune response to RA, whereas GATA2 is involved in the immune mechanism of DC cells. In conclusion, this study utilized bioinformatics analysis and machine learning to identify biomarkers associated with lactate metabolism in RA and examined their relationship with immune cell infiltration. These findings offer novel perspectives on potential diagnostic and therapeutic targets for RA.

Neutrophil extracellular traps (NETs) are specialized structures formed by neutrophils that were initially found to be important in killing pathogenic bacteria during infection. With the development of related research, the relationship between NETs and diseases such as sepsis, cancer, and systemic lupus erythematosus has received close attention. However, there is a lack of reports that comprehensively and objectively present the current status of NETs-related studies. Therefore, this study aims to visually analyze the current status and trends of NETs-related research by means of bibliometrics and knowledge mapping. NETs-related articles and reviews were retrieved using the Web of Science core collection subject search, and bibliometric analysis was performed in Excel 365, CiteSpace, VOSviewer, and Bibliometrix (R-Tool of R-Studio). A total of 4866 publications from 2004 to 2022 were included in the bibliometric analysis. The number of publications shows an increasing trend from year to year. Collaborative network analysis shows that the United States and Germany are the most influential countries in this field, with the highest number of publications and citations. The journal with the most publications is Frontiers in Immunology. Brinkmann Volker is an authoritative author in this field, and his publication \"Neutrophil extracellular traps kill bacteria\" is the most frequently cited. The literature and keyword analysis shows that the relationship between NETs and diseases (hematological diseases, sepsis, cancer, etc.) and cell death (apoptosis, necroptosis, pyroptosis, etc.) is a popular research topic. Currently, NETs and SARS-CoV-2-related studies are at the forefront of the field. This study is the first to visualize the research in NETs-related fields using bibliometric methods, revealing the trends and frontiers of NETs research. This study will provide valuable references for scholars to find research focus questions and partners.

Extracellular vesicles (EVs) are vesicles with a lipid bilayer membrane on the outside, which are widely found in various body fluids and contain biological macromolecules such as DNA, RNA, lipids and proteins on the inside. EVs were once thought to be vesicles for the removal of waste materials, but are now known to be involved in a variety of pathophysiological processes in many diseases. This study examines the advantage of EVs and the challenges associated with their application. A more rational use of the advantageous properties of EVs such as composition specificity, specific targeting, circulatory stability, active penetration of biological barriers, high efficient drug delivery vehicles and anticancer vaccines, oxidative phosphorylation activity and enzymatic activity, and the resolution of shortcomings such as isolation and purification methods, storage conditions and pharmacokinetics and biodistribution patterns during drug delivery will facilitate the clinical application of EVs.

Relapsed/refractory hematological malignancies increasingly utilize bispecific T-cell engagers (BiTEs), yet their postmarketing hepatobiliary toxicity profiles remain inadequately characterized. This study aimed to bridge this knowledge gap by conducting the first comprehensive pharmacovigilance analysis of BiTE-associated hepatobiliary toxicity using real-world data from the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) and the World Health Organization's global Individual Case Safety Report database (VigiBase). Hepatobiliary reports were extracted from patients with hematological malignancy deposited in FAERS and VigiBase (2015–2024). Disproportionality analyses, multivariate logistic regression analyses, and time-to-onset analyses were employed to identify safety signals across CD19, non-CD19-targeting BiTE, and non-BiTE receivers, characterize hepatobiliary toxicity, and assess their impact on patients’ survival. Sixteen safety signals emerged, including four previously under-reported adverse events beyond package insert documentation: ascites, hepatobiliary disease, graft-versus-host disease in liver, and veno-occlusive liver disease. This analysis revealed that non-CD19 BiTEs were relatively safe in terms of hepatobiliary toxicities, whereas CD19 BiTE receivers had significantly earlier hepatobiliary toxicity onset (median: 6 vs 14 days; P = 0.002) and higher mortality rate compared with non-BiTE users (ORFAERS = 3.28 [2.8–3.82]; PFAERS = 2.05E–16; ORVigiBase = 3.13 [2.60–3.76]; PVigiBase = 2.0E–16). These real-world insights complement clinical trial data; however, the disproportionality analyses employed are susceptible to reporting and utilization biases due to the lack of denominator data. The reported odds ratios and significance should be interpreted as measures of reporting association rather than true risk.

Hepatectomy for hepatocellular carcinoma (HCC) beyond the Milan criteria is shown to be beneficial. However, a high rate of post-operative HCC recurrence hinders the long-term survival of the patients. This study aimed to investigate and compare the impacts of tenofovir (TDF) and entecavir (ETV) on the recurrence of hepatitis B viral (HBV)-related HCC beyond the Milan criteria. Data pertaining to 1532 patients who underwent hepatectomy and received antiviral therapy between January 2014 and January 2019 were collected from five centers. Recurrence-free survival (RFS) analysis was performed using the Kaplan-Meier method. Cox proportional hazards regression analysis was performed to determine prognostic factors for HCC recurrence. The analysis incorporates 595 HBV-related HCC patients. The overall 5-year RFS was 21.3%. Among them, 533 and 62 patients received ETV and TDF treatment, respectively. The 1-, 3-, and 5-year RFS rates were 46.3%, 27.4%, and 19.6%, respectively, in the ETV group compared with 65.1%, 41.8%, and 37.2%, respectively, in the TDF group (P < 0.001). Multivariate analysis showed that TDF treatment (hazard ratio [HR]: 0.604, P = 0.005), cirrhosis (HR: 1.557, P = 0.004), tumor size (HR: 1.037, P = 0.008), microvascular invasion (MVI) (HR: 1.403, P = 0.002), portal vein tumor thrombus (PVTT) (HR: 1.358, P = 0.012), capsular invasion (HR: 1.228, P = 0.040), and creatinine levels (CREA) (HR: 0.993, P = 0.031) were statistically significant prognostic factors associated with RFS. Patients with HCC beyond the Milan criteria exhibited a high rate of HCC recurrence after hepatectomy. Compared to the ETV therapy, TDF administration significantly lowered the risk of HCC recurrence.

Background Breast cancer lung metastasis occurs in more than 60% of all patients with breast cancer, and most of those afflicted by it eventually die of recurrence. The tumor microenvironment plays vital roles in metastasis. Modulating the tumor microenvironment via multiple pathways could efficiently prevent or inhibit lung metastasis. Silibinin and cryptotanshinone are natural plant products that demonstrate anti-metastasis effects and modulate the tumor microenvironment via different pathways. However, they have poor aqueous solubility, membrane permeability, and oral bioavailability. Oral drug administration may help improve the quality of life and compliance of patients with breast cancer, primarily under long-term and/or follow-up therapy. Herein, we developed poly-N-(2-hydroxypropyl) methacrylamide (pHPMA)-coated wheat germ agglutinin-modified lipid-polymer hybrid nanoparticles, co-loaded with silibinin and cryptotanshinone (S/C-pW-LPNs). We assessed their oral bioavailability, and evaluated their anti-metastasis efficacy in a 4T1 breast cancer tumor-bearing nude mouse model. Results An in vitro mucus diffusion study revealed that pHPMA enhanced W-LPN mucus penetration. After oral administration, pHPMA enhanced nanoparticle distribution in rat jejunum and substantially augmented oral bioavailability. S/C-W-LPNs markedly increased 4T1 cell toxicity and inhibited cell invasion and migration. Compared to LPNs loaded with either silibinin or cryptotanshinone alone, S/C-pW-LPNs dramatically slowed tumor progression in 4T1 tumor-bearing nude mice. S/C-pW-LPNs presented with the most robust anti-metastasis activity on smooth lung surfaces and mitigated lung metastasis foci. They also downregulated tumor microenvironment biomarkers such as CD31, TGF-β1, and MMP-9 that promote metastasis. Conclusions Silibinin- and cryptotanshinone-co-loaded pW-LPNs efficiently penetrate intestinal barriers, thereby enhancing the oral bioavailability of the drug loads. These nanoparticles exhibit favorable anti-metastasis effects in breast cancer-bearing nude mice. Hence, S/C-pW-LPNs are promising oral drug nanocarriers that inhibit breast cancer lung metastasis.

Rheumatoid vasculitis (RV), a severe extra-articular complication of rheumatoid arthritis (RA), with current evidence limited to fragmented case reports and a lack of consensus on diagnostic/therapeutic protocols. This study systematically evaluated the clinical heterogeneity, prognostic determinants, and management challenges of RV through the comprehensive analysis of case reports. We conducted a systematic review of 112 RV cases from PubMed, Scopus, and Embase in the past 10 years. After dual-reviewer screening and exclusion of confounded cases (concurrent autoimmune diseases, drug-induced vasculitis, infection-associated cases), data spanning demographics, organ involvement patterns, treatments, and outcomes were extracted. Subsequent statistical analyses and data visualization were conducted using R software. The mortality group exhibited significantly higher rates of concurrent infections (  = 0.03) and elevated anti-cyclic citrullinated peptide (anti-CCP) antibody titers ( = 0.04) compared to the survival group. Only less than half of the medical records had histopathological confirmation of the diagnosis, which was particularly notable in cardiac (14.3%, 1/7), pulmonary (33.3%, 2/6),and cerebral (25.0%, 9/36) involvement. During the induction of disease remission, glucocorticoids remained the primary therapy. Both conventional synthetic disease-modifying antirheumatic drugs (DMARDs) ( < 0.05) and biologic DMARDs ( < 0.001) demonstrated favorable prognostic associations. This study highlighted RV's heterogeneous organ involvement and underscored the prognostic value of anti-CCP and infection screening. The limited histopathological confirmation rates emphasized the need for multimodal diagnostics. Our findings also provided robust evidence supporting the therapeutic efficacy of biologic DMARDs in RV management.

Chemokine (C-X3-C motif) Receptor 1 (CX3CR1) primarily mediates the chemotaxis and adhesion of immune cells. However, its role in hepatitis C virus (HCV)-induced early-stage liver cirrhosis remains unexplored. GSE15654 was downloaded from the GEO database. The Cox regression model, CIBERSORT, and LASSO technique were utilized to identify CX3CR1-associated immune infiltration genes (IIGs). Surgical resection samples were collected for verification, including 3 healthy controls (HC), 4 individuals with HCV-induced hepatic cirrhosis, and 3 with HCV-induced liver failure. High CX3CR1 expression correlated with worse prognosis in early-stage cirrhosis. CX3CR1-associated IIGs, namely ACTIN4, CD1E, TMCO1, and WSF1, were identified, showing specific expression in the livers of individuals with post-hepatic cirrhosis and liver failure compared to HC. LOC400499 and MTHFD2 were elevated in individuals with liver failure in comparison to those with hepatocirrhosis. Notably, high infiltration of plasma cells and low infiltration of monocytes were predictive of poor prognosis in early-stage cirrhosis. The combined risk model predicted that high expression of CX3CR1-associated IIGs and increased infiltration of plasma cells were associated with unfavorable prognosis in individuals with HCV-induced early-stage liver cirrhosis. The developed combined risk model effectively predicted the prognosis of these individuals.