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.

Atherosclerosis, a chronic inflammatory disease, is markedly influenced by both immune and inflammatory reactions throughout its progression. Dendritic cells, as pivotal antigen-presenting entities, play a crucial role in the initiation of immune responses and the preservation of immunological homeostasis. Accumulating data indicates that dendritic cells are present in healthy arteries and accumulate significantly in atherosclerotic plaques. Novel immunotherapeutic approaches and vaccination protocols have yielded substantial clinical advancements in managing chronic inflammatory diseases, with dendritic cell-centric modalities emerging for atherosclerotic management. In this review, we delineate the essential functions and underlying mechanisms of dendritic cells and their subsets in the modulation of atherosclerotic inflammation and immune responses. We underscore the immense promise of dendritic cell-based immunotherapeutic strategies, including vaccines and innovative combinations with nanotechnological drug delivery platforms for atherosclerosis treatment. We also discuss the challenges associated with dendritic cell immunotherapy and provide perspectives on the future direction of this field.

Objective:To investigate the impact of inserting an exogenous gene, NanoLuc (Nluc), at different sites in the influenza virus genome on viral properties and analyze the expression stability of the exogenous gene both in vitro and in vivo. Methods:Using molecular cloning techniques and reverse genetics, eight recombinant influenza viruses were constructed by inserting the exogenous Nluc gene into the gene segments encoding hemagglutinin (HA), neuraminidase (NA), non-structural protein (NS), and polymerase basic protein 1 (PB1). Viral replication capacity was evaluated by hemagglutination and plaque assays. Nluc expression in infected cells was monitored by fluorescence imaging. The potential impact of the exogenous gene insertion on viral infectivity was examined in a mouse infection model. Independent samples t-test were used for statistical analysis. Results:The recombinant viruses with insertions in the HA, NA, and NS gene segments generated fluorescent signals in the first generation of rescued viruses and demonstrated replication capabilities in plaque and hemagglutination assays. The recombinant viruses based on the NA and NS genes were capable of stably expressing Nluc across different generations, and exhibited correct fluorescent distribution patterns in mouse infection experiments. Meanwhile, the NS gene-based recombinant virus demonstrated superior stability in the mouse model.Conclusions:This study demonstrates that the NS gene segment of influenza virus can serve as an effective insertion site for exogenous genes without impairing the viral replication or infectivity, and the recombinant virus constructed based on it exhibits high integration stability and substantial application potential.

Objective:To investigate the effects of oral propranolol on the heart rate and blood glucose levels in children with hemangiomas receiving hospital care.Methods:A total of 259 children [77 males and 182 females, aged (125.2±85.4) days, weighted (6.3±1.6) kg], who were treated with oral propranolol for the first time under hospital care from January 2013 to August 2021, were retrospectively analyzed. After fasting, the patients administered the same dose of propranolol once daily (0.5-2.5 mg/kg). Fasting blood glucose and heart rate were measured in all children before propranolol administration and after 2 h. Heart rate was measured at 1, 3 and 6 h after propranolol administration for three consecutive days. Adverse reactions were observed and recorded.Results:Within three days of oral propranolol administration, the heart rates at 1, 3 and 6 h after propranolol administration were lower than those before propranolol administration (all P<0.001). Within three days after taking propranolol and 2 h after taking propranolol daily, blood glucose levels reduced in all children (all P<0.001). During the hospitalization period, the incidence of adverse reactions was 5.4% (14/259), including lesion ulcers in four cases, upper respiratory tract infection with fever in four, reduced eating in two, nausea and vomiting in one, lethargy in one, sinus tachycardia in one, and hyperkalemia in one. No serious adverse reactions were life-threatening. Conclusion:After oral administration of propranolol, the heart rate and blood sugar of the children decrease to different degrees compared with those before propranolol administration.

Objective To investigate the dynamic functional connectivity differences between insomnia patients and healthy controls in triple brain networks[the significant network(SN),the default mode network(DMN),and the executive control network(ECN)]using functional magnetic resonance imaging,and uncover their associations with cognitive ability.Methods Dynamic functional connectivity analysis was performed on functional magnetic resonance imaging data from 40 insomnia patients and 40 healthy controls.The changes in dynamic functional connectivity values were studied for SN,DMN,ECN[including the left executive control network(LECN)and the right executive control network(RECN)];the similarities and differences in time characteristic indicators such as time score,average dwell time,and conversion rate were explored;and their associations with clinical information were analyzed.Results The SN-LECN and DMN-RECN dynamic functional connectivity was significantly higher in insomnia patients than in healthy controls(P=0.013,0.047),while the RECN-LECN and RECN internal functional connectivity strength was lower in insomnia patients than in healthy controls(P<0.001).Additionally,the fractional time in state 2 in insomnia group was significantly higher than that in healthy controls(P<0.001),and it was positively correlated with the Pittsburgh sleep quality index(r=0.524,P=0.001).Conclusion Insomnia patients exhibit significant abnormalities in triple brain network dynamic functional connectivity,which may be related to abnormalities in cognitive control and sensory processing in insomnia patients.These findings provide a new perspective for further research on the neural mechanisms and potential intervention strategies for insomnia.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective To investigate the dynamic functional connectivity differences between insomnia patients and healthy controls in triple brain networks[the significant network(SN),the default mode network(DMN),and the executive control network(ECN)]using functional magnetic resonance imaging,and uncover their associations with cognitive ability.Methods Dynamic functional connectivity analysis was performed on functional magnetic resonance imaging data from 40 insomnia patients and 40 healthy controls.The changes in dynamic functional connectivity values were studied for SN,DMN,ECN[including the left executive control network(LECN)and the right executive control network(RECN)];the similarities and differences in time characteristic indicators such as time score,average dwell time,and conversion rate were explored;and their associations with clinical information were analyzed.Results The SN-LECN and DMN-RECN dynamic functional connectivity was significantly higher in insomnia patients than in healthy controls(P=0.013,0.047),while the RECN-LECN and RECN internal functional connectivity strength was lower in insomnia patients than in healthy controls(P<0.001).Additionally,the fractional time in state 2 in insomnia group was significantly higher than that in healthy controls(P<0.001),and it was positively correlated with the Pittsburgh sleep quality index(r=0.524,P=0.001).Conclusion Insomnia patients exhibit significant abnormalities in triple brain network dynamic functional connectivity,which may be related to abnormalities in cognitive control and sensory processing in insomnia patients.These findings provide a new perspective for further research on the neural mechanisms and potential intervention strategies for insomnia.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective:To investigate the impact of inserting an exogenous gene, NanoLuc (Nluc), at different sites in the influenza virus genome on viral properties and analyze the expression stability of the exogenous gene both in vitro and in vivo. Methods:Using molecular cloning techniques and reverse genetics, eight recombinant influenza viruses were constructed by inserting the exogenous Nluc gene into the gene segments encoding hemagglutinin (HA), neuraminidase (NA), non-structural protein (NS), and polymerase basic protein 1 (PB1). Viral replication capacity was evaluated by hemagglutination and plaque assays. Nluc expression in infected cells was monitored by fluorescence imaging. The potential impact of the exogenous gene insertion on viral infectivity was examined in a mouse infection model. Independent samples t-test were used for statistical analysis. Results:The recombinant viruses with insertions in the HA, NA, and NS gene segments generated fluorescent signals in the first generation of rescued viruses and demonstrated replication capabilities in plaque and hemagglutination assays. The recombinant viruses based on the NA and NS genes were capable of stably expressing Nluc across different generations, and exhibited correct fluorescent distribution patterns in mouse infection experiments. Meanwhile, the NS gene-based recombinant virus demonstrated superior stability in the mouse model.Conclusions:This study demonstrates that the NS gene segment of influenza virus can serve as an effective insertion site for exogenous genes without impairing the viral replication or infectivity, and the recombinant virus constructed based on it exhibits high integration stability and substantial application potential.

Objective:To investigate the effects of oral propranolol on the heart rate and blood glucose levels in children with hemangiomas receiving hospital care.Methods:A total of 259 children [77 males and 182 females, aged (125.2±85.4) days, weighted (6.3±1.6) kg], who were treated with oral propranolol for the first time under hospital care from January 2013 to August 2021, were retrospectively analyzed. After fasting, the patients administered the same dose of propranolol once daily (0.5-2.5 mg/kg). Fasting blood glucose and heart rate were measured in all children before propranolol administration and after 2 h. Heart rate was measured at 1, 3 and 6 h after propranolol administration for three consecutive days. Adverse reactions were observed and recorded.Results:Within three days of oral propranolol administration, the heart rates at 1, 3 and 6 h after propranolol administration were lower than those before propranolol administration (all P<0.001). Within three days after taking propranolol and 2 h after taking propranolol daily, blood glucose levels reduced in all children (all P<0.001). During the hospitalization period, the incidence of adverse reactions was 5.4% (14/259), including lesion ulcers in four cases, upper respiratory tract infection with fever in four, reduced eating in two, nausea and vomiting in one, lethargy in one, sinus tachycardia in one, and hyperkalemia in one. No serious adverse reactions were life-threatening. Conclusion:After oral administration of propranolol, the heart rate and blood sugar of the children decrease to different degrees compared with those before propranolol administration.