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.

ObjectiveThe present study aimed to investigate alterations in white matter microstructure and spontaneous neural activity in male college smokers, and to further explore their associations with nicotine dependence. Given that adolescence and early adulthood represent critical periods for brain maturation, particularly for white matter development, understanding the neural correlates of smoking behavior during this stage is of substantial importance for both neuroscience and public health. MethodsA total of 115 male undergraduate students were initially recruited for this study. After quality control and exclusion procedures, 52 male college smokers and 42 demographically matched healthy non-smokers were included in the final analysis. All participants underwent multimodal magnetic resonance imaging (MRI), including diffusion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI). White matter fiber tracts were reconstructed using the automated fiber quantification (AFQ) method, which enables precise identification and quantification of major fiber bundles. Eighteen major white matter tracts were segmented for each participant. Along the core trajectory of each tract, 100 equidistant nodes were sampled. Fractional anisotropy (FA) was calculated at each node to assess white matter microstructural integrity, while amplitude of low-frequency fluctuation (ALFF) was computed to evaluate spontaneous neural activity within white matter tracts. Between-group differences in FA and ALFF were assessed using two-sample t-tests, with appropriate corrections applied for multiple comparisons. Furthermore, Pearson correlation analyses were conducted to examine the relationships between imaging-derived metrics (FA and ALFF values in regions showing significant group differences) and nicotine dependence severity, as measured by the Fagerström test for nicotine dependence (FTND). ResultsCompared with healthy non-smokers, male college smokers exhibited significantly increased FA values in several white matter tracts, including the left thalamic radiation, right corticospinal tract, forceps major of the corpus callosum, left uncinate fasciculus, and right arcuate fasciculus. These findings suggest altered microstructural organization or increased directional coherence within these pathways. In addition, smokers demonstrated significantly elevated ALFF values in the forceps major, right uncinate fasciculus, and left arcuate fasciculus, indicating enhanced spontaneous neural activity in these white matter regions. Correlation analyses revealed that FA values in the left thalamic radiation and right corticospinal tract were negatively correlated with FTND scores, suggesting that higher levels of nicotine dependence were associated with reduced microstructural integrity or altered fiber organization in these regions. In contrast, ALFF values in the forceps major and right uncinate fasciculus were positively correlated with FTND scores, indicating that greater nicotine dependence was associated with increased spontaneous neural activity in specific white matter pathways. ConclusionThe present study provides evidence that male college smokers exhibit distinct alterations in both white matter microstructure and functional activity. These abnormalities are not uniformly distributed but rather localized to specific fiber tracts implicated in sensorimotor processing, interhemispheric communication, and higher-order cognitive and emotional regulation. Importantly, the observed associations between imaging metrics and nicotine dependence severity suggest that these structural and functional alterations may reflect neurobiological mechanisms underlying addiction. The combination of AFQ-based tract profiling and multimodal MRI offers a sensitive approach for detecting subtle changes along white matter pathways, highlighting its potential utility in identifying neuroimaging biomarkers of nicotine dependence. Overall, these findings indicate that smoking during early adulthood may disrupt ongoing white matter maturation, potentially leading to long-term consequences for brain function. This study provides novel insights into the neural basis of nicotine dependence and underscores the importance of early intervention and prevention strategies targeting young smokers.

Abstract The health literacy level among the elderly in China remains at a low level. The 14th Five-Year Plan for Healthy Aging clearly points out that health literacy promotion projects should be implemented to improve the health literacy level among the elderly. The health literacy promotion strategies for the elderly require individual, social, policy and environmental supports. This article reviewed four types of health literacy promotion strategies for the elderly, including social strategies, lecture-based health education strategies, new media-based health communication strategies and environmental strategies. It also proposed that health education institutions, communities and other parties should work together, take advantage of digital technology and internet, and take various measures simultaneously to improve the health literacy of the elderly.

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

Objective To explore the clinical effect of nursing guided by Neuman's systems model on adolescent idiopathic scoliosis surgery patients.Methods This study is a randomized controlled trial.A total of 120 patients with adolescent idiopathic scoliosis who underwent surgery in our hospital from Jan.to Dec.2023 were enrolled.According to the order of enrollment,they were randomly assigned to experimental group or control group,with 60 patients in each group.The control group received routine nursing,while the experimental group received nursing guided by Neuman's systems model.Independent-sample t test and χ2 test were used to compare the surgical efficacy,postoperative recovery,quality of life,and self-management ability of the 2 groups.Results Six months post-surgery,the main curve Cobb angle in the experimental group was significantly smaller than that in the control group([14.33±0.78]° vs[16.65±1.02]°,P＜0.001).The postoperative bedtime([4.78±1.32])d vs[6.13±1.26]d),incision healing time([13.43±3.29]d vs[15.32±5.23]d),and hospital stay([13.17±5.36]d vs[16.93±3.14]d)were all significantly shorter in the experimental group than those in the control group(all P＜0.05).The overall complication rate in the experimental group was significantly lower than that in the control group(5.00%[3/60]vs 21.67%[13/60],P=0.016).Six months post-surgery,the experimental group scored better in terms of physical functioning,bodily pain,general health,vitality,social functioning,role-emotional,and mental health compared to the control group(all P＜0.05).In terms of patient self-management,the experimental group also had significantly higher scores in common management(17.53±5.98 vs 13.34±7.32)and symptom management(30.95±8.12 vs 27.32±7.87)compared to the control group(both P＜0.05).Conclusion The nursing guided by Neuman's systems model for adolescent idiopathic scoliosis surgery patients can promote their postoperative recovery and improve their quality of life and self-management capabilities.

Dopamine(DA)is an essential neurotransmitter.Research on its dynamic concentration fluctuations,particularly within the extracellular microenvironment,is crucial for elucidating neural signaling mechanisms and pathogenesis of related disorders.Among DA detection methods,fluorescence probe-based imaging offers advantages such as high sensitivity,high specificity,and non-invasiveness.However,the application of these probes for in situ DA monitoring has been limited by the challenges including probe internalization and difficulties in labeling across cells.Here,leveraging the programmability and high stability of DNA nanostructures,a DNA prism-based probe for imaging DA release at the single-cell level was designed and constructed.This probe utilized surface-modified cholesterol for efficient membrane anchoring and a DA aptamer-based"turn-on"sensing module to detect DA directly on the cell membrane.Using this probe,rapid DA release triggered by high K+stimulation was observed,with the released DA concentration increasing over time and peaking at 8 min post-stimulation.More notably,exploiting the probe's ability to simultaneously anchor to two cells,thereby forming cell clusters,revealed that the distribution of DA within the intercellular space was significantly higher than that in the cell body regions.This probe not only provided a method for DA imaging on the cell membrane but also laid a theoretical foundation for developing broader neurotransmitter detection platforms,holding significant scientific merit and application potential.

Objective:To compare the effects of propofol and dexmedetomidine for sedation on the outcome in mechanically ventilated patients with severe pulmonary infection.Methods:Patients with severe pulmonary infection (Clinical Pulmonary Infection Score >7) requiring mechanical ventilation from the Medical Information Mart for Intensive Care Ⅳ database between 2008 and 2020 were selected and divided into propofol group and dexmedetomidine group based on the sedative agent used. The primary outcome was all-cause in-hospital mortality, and secondary outcomes included 90-day all-cause mortality and duration of mechanical ventilation. Inverse probability of treatment weighting (IPTW) was used to adjust for baseline confounders, and logistic regression and linear regression were applied to analyze the effects of the two sedative drugs on the outcomes of mechanically ventilated patients with pulmonary infection. Kaplan-Meier survival curves were used to analyze survival outcomes.Results:A total of 6 204 critically ill patients with pulmonary infection requiring mechanical ventilation were included, with 3 439 cases in propofol group and 2 765 cases in dexmedetomidine group. The baseline characteristics between the two groups were well balanced (standardized mean difference < 0.1) after IPTW adjustment. In the IPTW-adjusted cohort, the in-hospital all-cause mortality and 90-day all-cause mortality were significantly lower in dexmedetomidine group than in propofol group (439.2[18.7%] vs 563.6[24.1%], 618.0[26.3%] vs 733.6[31.3%], P<0.001), the results of Further Kaplan-Meier survival curve analysis showed that the 90-day all-cause mortality was significantly lower in dexmedetomidine group than in propofol group ( P<0.01). Conclusions:Compared with propofol, dexmedetomidine can decrease the mortality rate and improve the prognosis in mechanically ventilated patients with severe pulmonary infection when used for sedation.

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 investigate the predictive value of the geriatric nutritional risk index(GNRI)for the occurrence of lung infection in hospitalized elderly patients with type 2 diabetes mellitus(T2DM).Methods·Elderly T2DM patients who were admitted to the Geriatric Department of Shanghai Tongren Hospital between June 2022 and June 2024 were retrospectively and consecutively enrolled.They were divided into infected and non-infected groups according to whether lung infection occurred during hospitalization.Baseline data(gender,age,height,weight,duration of diabetes,comorbidities,etc.)were collected and GNRI was calculated.A multivariate Logistic regression model was used to screen the independent risk factors for pulmonary infections,and the predictive value of GNRI for pulmonary infections in T2DM patients was analysed using receiver operating characteristic(ROC)curves.Results·A total of 264 elderly T2DM patients were enrolled,among whom 154 developed pulmonary infections.Significant differences were observed between the infected and non-infected groups in GNRI,albumin,leukocyte count,neutrophil ratio,lymphocyte ratio,glycated hemoglobin,fasting glucose,interleukin-6,C-reactive protein,and procalcitonin levels(P<0.05).Multivariate Logistic regression analysis showed that a lower GNRI was an independent risk factor for lung infection(OR=0.798,95%CI 0.712?0.894;P<0.001).Correlation analysis showed that GNRI was negatively correlated with C-reactive protein and calcitoninogen.ROC curve analysis showed that GNRI predicted pulmonary infection with an area under the curve of 0.828,a sensitivity of 77.9%,and a specificity of 76.6%.Conclusion·A lower GNRI is an independent risk factor for pulmonary infections in elderly T2DM patients,and also has a good predictive value for the occurrence of pulmonary infections.