Objective To explore the differences in heartbeat-evoked response (HER) under drug-related cues and neutral cues in individuals with heroin use disorder (HUD), and analyze the correlation between HER potentials and immediate cue-induced craving scores. Methods Fifty HUD participants were recruited from the Chang’an Compulsory Isolation Drug Rehabilitation Center in Shaanxi Province from June to September 2024. Simultaneous acquisition of 64-channel electroencephalography (EEG) and electrocardiogram signals was performed. Twenty alternating segments of drug-related and neutral cue videos were presented, and participants rated their subjective craving after each segment using visual analogue scale (VAS) scores. Scalp EEG data were source analyzed to obtain cortical EEG signals and corresponding HER. Short-time Fourier transform was used to calculate the power spectral density (PSD) of EEG within a time window from 100 ms before the R-peak to 500 ms after it, using the R-peak as the time zero point. Cluster-based permutation testing was used to analyze PSD differences between drug-related and neutral cues in the HUD individuals. Pearson correlation analysis was performed to evaluate the correlation between HER potentials and VAS scores. Results In the 350–420 ms time window, HER potentials in the left posterior parietal, temporal, and posterior cingulate cortices were significantly lower under drug-related cues compared to neutral cues (P＜0.01); in the 140–210 ms time window, HER potentials in the right prefrontal cortex were significantly higher under drug-related cues compared to neutral cues (P＜0.01). Correlation analysis showed that HER potentials in the left temporal and left posterior cingulate cortices were significantly negatively correlated with VAS scores (P＜0.05). Drug-related cues enhanced PSD of γ power (30–100 Hz) in salience network (fronto-insular), parietal and occipital regions (P＜0.05). PSD integrations of low-γ power (40–60 Hz) in parietal region (350–400 ms) and high-γ power (70–100 Hz) in left salience network (fronto-parietal) and occipital regions (300–350 ms) were positively correlated with VAS scores (P＜0.05). Conclusions Drug-related cues may modulate cortical activity related to heartbeat perception in HUD individuals, and such dynamic changes in both time and frequency domains are stably associated with subjective craving.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

This study analyzed the variations and evolution characteristics of influenza B Victoria(BV)virus in the Yellow River Delta region of China during 2021-2024.Throat swabs were collected from people with influenza-like illness(ILI)from 2021 to 2024 in Binzhou and Dongying,China.Viral isolation was performed,and 22 representative influenza BV isolates were selected for whole genome sequencing.Phylogenetic analysis of whole-genome sequences was performed in MegAlign and MEGA software.A total of 27 674 samples were obtained,and the overall positivity rate of influenza virus(A/H3N2,A/H1N1,BV)was 11.1％.Our surveillance data indicated that influenza B virus was detected in 2 years,which showed positivity rates of 28.2％and 1.7％,respectively.Statistically significant differences in the positivity rates of influenza BV viruses were observed(x2=3 641.791,P＜0.001).The median pairwise sequence identities ranged from 98.7％to 99.3％for eight segments of 22 viral sequences.The isolates for the monitoring years 2021-2024 were located in clades V1A.3a.1 and V1A.3a.2.Intra-lineage reassortments were discovered in B/shandongbincheng17/2022.The NA gene of one isolate exhibited an increase in the 488NLTV N-glycoproteome site.The K338R mutation occurred in the PA gene.Three locus deletion or insertion mutations occurred in the MP gene.The BV influenza epidemic was prevalent every other year;the intensity ranged from strong to weak;and the duration ranged from long to short in the Yellow River Delta region of China during 2021-2022.Influ-enza B virus formed intra-lineage reassortments,and showed significant mutations in NA gene,PA gene,and MP gene.

Objective To investigate the initial temperature sensation and pressure pain sensation in patients receiving invisible or-thodontic treatment.Methods Twenty-two patients receiving clear aligner treatment(experimental group)and 22 volunteers(control group)participated.Perceptual changes were assessed using the visual analogue scale(VAS)and quantitative sensory testing(QST).The QST employed in this study included warm detection threshold/heat pain threshold(WDT/HPT),cold detection threshold/cold pain threshold(CDT/CPT),and pressure pain threshold(PPT).Tests were conducted on teeth 21 and 31,their gums,the left hand,and the left masseter muscle.Assessments occurred at baseline,2 hours,24 hours,7 days,and 28 days after aligner placement.Re-sults In the experimental group,VAS scores peaked at 24 hours and then significantly decreased(P＜0.01).For teeth 21 and 31,the WDT and HPT of the labial attached gingiva,along with the PPT of these teeth,showed significant decreases at 24 hours and 7 days compared to baseline and the control group(P＜0.01).At 24 hours and 7 days,VAS scores were negatively correlated with the WDT and HPT of the labial attached gingiva of teeth 21 and 31(P＜0.05).Conclusion At 24 hours and 7 days post-clear aligner treatment,thermal sensitivity and pain,as well as pressure pain sensitivity,increased for the gingiva of teeth 21 and 31.Thermal sensitivity was also correlated with pain intensity.

The immune microenvironment plays a pivotal role in maintaining ovarian homeostasis. Polycystic ovary syndrome (PCOS), a common endocrine and metabolic disorder, is closely associated with immune microenvironment imbalance. This review systematically describes the dysregulation of innate immune cells (e.g., macrophages, natural killer cells and dendritic cells) and adaptive immune cells (e.g., Th1, Th2, Treg and Th17) in PCOS, highlighting their impacts on ovarian function, insulin resistance, and hyperandrogenemia. These findings underscore the central role of immune microenvironment disturbances in PCOS pathogenesis. Additionally, the association between gut microbiota dysbiosis and PCOS is explored, emphasizing how gut microbiota influences metabolic byproducts and hormonal levels to contribute to PCOS development. Furthermore, therapeutic strategies targeting immune microenvironment imbalance such as modulating macrophage polarization, restoring Th1/Th2 and Th17/Treg balance, and ameliorating gut microbiota dysbiosis are discussed, offering novel insights for PCOS immunotherapy. In conclusion, this review comprehensively analyzes the pathogenesis of PCOS from the perspective of the immune microenvironment, aiming to provide a theoretical foundation and reference for future research and clinical practice.

Objective:To explore the changes in nutritional status and body composition of cervical cancer patients during concurrent chemoradiotherapy (CCRT) and their correlation with CCRT toxicities.Methods:In this prospective and observational clinical study, eligible treatment -na?ve patients with stage IB-IV primary cervical cancer were consecutively enrolled in the Department of Radiotherapy of Peking Union Medical College Hospital from September 2022 to August 2023. The patients were screened for nutritional risks, received dietary assessment, and were measured for body composition using multi-frequency bioelectrical impedance at baseline (prior to treatment), 4 weeks, and 8 weeks since treatment initiation. Insufficient muscle mass was diagnosed ccording to the Asian Working Group for Sarcopenia 2019 criteria. The severity of nausea, vomiting, abdominal pain, diarrhea, and hematological toxicity was assessed by the U.S. National Cancer Institute Common Terminology Criteria for Adverse Events (version 5.0).Results:A total of 109 patients were included. At baseline, there were 11 (10.1%) patients who were lean, 17 (15.6%) patients with insufficient muscle mass, and 28 patients (25.7%) at nutritional risk; at Week 8 of CCRT, patients at nutritional risk increased to 61 (56.0%). Compared to baseline, weight [(59.34±9.67) kg vs. (61.30±9.64) kg, P<0.001], skeletal muscle index [SMI, (6.15±0.74) kg/m 2vs. (6.39±0.74) kg/m 2, P<0.001], body fat percentage [(31.13±7.67) % vs. (32.07±7.70) %, P=0.004] were significantly decreased at Week 8 of CCRT. Besides, ≥10% SMI loss was only related to baseline body fat percentage ( HR=0.216, 95% CI: 0.001-0.724, P=0.038), but not related to age, nutritional status, or muscle mass (all P>0.05). At baseline and 8 weeks since CCRT, 8 (28.6%) and 40 (65.6%) patients at nutritional risk received nutritional support, respectively. During CCRT, the rates of grade ≥2 nausea and vomiting, diarrhea, and grade 3/4 hematological toxicity were 37.6%, 28.4% and 44.0%, respectively. Baseline nutritional risk was a risk factor for diarrhea ( HR=2.447, 95% CI: 1.017-6.068, P=0.047), and an advanced International Federation of Gynecology and Obstetrics (FIGO) stage was a risk factor for severe nausea and vomiting ( HR=1.735, 95% CI: 1.005-2.995, P=0.048). Patients presenting with severe nausea and vomiting had more significant reductions in body mass index [(-1.44±1.29) kg/m 2vs. (-0.59±0.84) kg/m 2, P<0.001] and SMI [(-0.37±0.41) kg/m 2vs. (-0.12±0.27) kg/m 2, P=0.013] compared to those without nausea and vomiting, while there was no significant difference in visceral fat area between these two groups [(-9.95±19.48) cm 2vs. (-5.12±15.79) cm 2, P=0.161]. Conclusions:Patients with cervical cancer have increased nutritional risk and more loss of body weight and muscle mass during CCRT. The presence of nutritional risk at baseline is a risk factor for diarrhea, while nausea and vomiting exacerbate the losses of body weight, muscle, and fat. Close monitoring, intensive symptomatic therapy, and appropriate nutritional interventions should be performed in the clinical setting to improve patients' tolerance of treatment and maintenance of body weight.

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.

AIM To investigate the ameliorative effects of Compound Fufangteng Mixture(CFM)on cyclophosphamide(CTX)-induced immunosuppression in mice.METHODS Forty-eight male C57BL/6J mice were randomly divided into the blank control group,the model group,the levamisole hydrochloride group(40 mg/kg)and the low-dose,medium-dose and high-dose CFM groups(3.75,7.5,10 g/kg),with 8 mice in each group,and given respective intervention orally once daily for 14 days.On the 5th to 7th day of administration,with the blank control group given normal saline intraperitoneally,the other groups underwent intraperitoneal CTX injections(80 mg/kg).24 hours after the last administration,organ indices of thymus and spleen were calculated;splenic histopathological alterations were assessed by HE staining;serum levels of IL-2,IL-6 and IgG were quantified using ELISA;splenic CD4+,CD8+T lymphocytes,alongside CD86+and CD206+macrophages populations were analyzed by flow cytometry;and splenic expression of CD4,CD8 and F4/80 was evaluated by immunohistochemical staining.RESULTS In CTX-treated mice,CFM administration mitigated body weight loss;enhanced thymus weight and thymic index;ameliorated splenic immune cell populations,elevated serum levels of cytokines IL-2,IL-6 and IgG in serum;and upregulated splenic levels of CD45+CD3+T lymphocytes and F4/80+CD11b+macrophages,alongside increasing the expression of CD4,CD8 and F4/80 surface markers.CONCLUSION CFM alleviates CTX-induced immunosuppression state in mice by modulating immune cells,restoring immune function and enhancing anti-inflammatory and tissue repair capabilities.

Objective To investigate the mechanism of Astragali Complanati Semen in the prevention and treatment of hyperlipidemia;To provide theoretical basis for its clinical application.Methods The active components of Astragali Complanati Semen were retrieved and screened through TCMSP,TCMID and TDT databases to obtain the action targets of the active components.Hyperlipidemia targets were obtained through GeneCards,DisGeNET,and TTD databases,and the drug active component targets were intersected with hyperlipidemia targets.Cytoscape 3.9.1 software and STRING database were used to construct active component-target network and protein-protein interaction network,screening for major active components and core targets.GO and KEGG pathway enrichment analysis was performed using the DAVID database,and the CB-Dock platform was used for molecular docking.HepG2 cells were induced to construct a high-fat cell model using oleic acid and palmitic acid,and intervened with Astragali Complanati Semen freeze-dried powder solution.The mRNA expression of the core target was detected by RT-qPCR.Results A total of 10 active components of Astragali Complanati Semen and 67 potential action targets of hyperlipidemia were identified,involving signaling pathways such as AGE-RAGE,lipid metabolism,HIF-1,etc.Experimental results showed that intervention with Astragali Complanati Semen could reduce lipid accumulation in the high-lipid cell model,with an optimal intervention concentration of 500 μg/mL;RT-qPCR revealed significant down-regulation of TNFα,IL6,AKT1,PPARG,and other genes after intervention with Astragali Complanati Semen.Conclusion Astragali Complanati Semen exerts lipid-regulating effects through multiple targets and pathways,providing a basis for its application in the prevention and treatment of hyperlipidemia.

A mounting body of research suggests that circRNAs significantly contribute to the develop-ment of myocardial fibrosis.The microarray results of human circular RNA expression profile indicated that circHERC4_041 expression increased in the myocardium of patients with heart failure,RT-qPCR a-nalysis confirmed that the myocardial expression level of circHERC4_041 in individuals with heart failure were considerably elevated compared to that in healthy organ donors.Fluorescence in situ hybridization(FISH)confirmed that circHERC4_041 was abundant in the cytoplasm of human cardiomyocyte AC16.Overexpression of circHERC4_041 in mouse myocardial fibroblasts(mCFs)mediated by adenovirus in-hibited the expression of fibrosis-related proteins in mCFs.Experiments involving cell proliferation,wound healing,and Transwell assays demonstrated that overexpression of circHERC4_041 suppressed the growth and mobility of mCFs(P＜0.001).Sequence analysis results suggested that circHERC4_041 con-tains potential ribosome entry sequence(IRES)and open reading frame(ORF).Western blot confirmed that circHERC4_041 could translate the 516 amino acid HERC4-516aa protein,which was mainly located in the cytoplasm of the cell.Cell functional experiments confirmed that circHERC4_041 inhibited the fi-brotic phenotype of mCFs by specifically translating HERC4-516aa(P＜0.05).The specific interaction between HERC4-516aa and transglutaminase 2(TGM2)was confirmed by IP-MS screening and Co-IP i-dentification.Further results found that the degradation of TGM2 was promoted through proteasome path-way.The overexpression of TGM2 in mCFs facilitated by adenoviral vectors could counteract the suppres-sive effects of HERC4-516aa on the fibrotic phenotype of mCFs.Therefore,this study confirmed that the HERC4-516aa protein translated by circHERC4_041 can specifically bind to TGM2 to inhibit the fibrotic phenotype of myocardial fibroblasts.