Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective:To evaluate the effectiveness of the Total Nutritional Therapy (TNT) course initiated by the Chinese Society for Parenteral and Enteral Nutrition (CSPEN) over the 20 years since its implementation in China.Methods:Participants who attended the CSPEN-organized TNT course between 2005 and 2024 were randomly selected as survey subjects. A four-level questionnaire (reaction, learning, behavior, and results) was developed via expert consensus, based on the Kirkpatrick model. An electronic link to the survey, created via Wenjuanxing, was distributed to invite participants to complete the questionnaire.Results:A total of 1,548 healthcare professionals from various specialties who had received TNT course participated in the online survey. Over 93% of participants reported improvements in theoretical knowledge and 94% in enhanced clinical diagnosis and treatment capabilities. Additionally, 65.4% of participants reported a "significant" or "noticeable" increase in the frequency of nutritional screening and assessments, with the frequency of nutritional support therapy utilization increased by 91.2%. Furthermore, 52.6% of respondents perceived a "significant" or "noticeable" career advancement, particularly in professional title promotion and international academic exchanges. The TNT course also positively impacted discipline development and management: 63.6% of the trainees' hospitals established clinical nutrition departments, 58.98% opened nutrition outpatient clinics, and 56.9% formed nutrition support teams. The adoption rate of standardized procedures, such as nutritional screening, exceeded 92.5% in relevant departments.Conclusions:Over the past 20 years, the CSPEN-led TNT course has successfully established a virtuous cycle of "knowledge dissemination–practice transformation–system innovation" in China. It has played a positive role in enhancing the professional competencies of healthcare workers and promoting the development of clinical nutrition as a discipline.

Objective:To evaluate the effectiveness of the Total Nutritional Therapy (TNT) course initiated by the Chinese Society for Parenteral and Enteral Nutrition (CSPEN) over the 20 years since its implementation in China.Methods:Participants who attended the CSPEN-organized TNT course between 2005 and 2024 were randomly selected as survey subjects. A four-level questionnaire (reaction, learning, behavior, and results) was developed via expert consensus, based on the Kirkpatrick model. An electronic link to the survey, created via Wenjuanxing, was distributed to invite participants to complete the questionnaire.Results:A total of 1,548 healthcare professionals from various specialties who had received TNT course participated in the online survey. Over 93% of participants reported improvements in theoretical knowledge and 94% in enhanced clinical diagnosis and treatment capabilities. Additionally, 65.4% of participants reported a "significant" or "noticeable" increase in the frequency of nutritional screening and assessments, with the frequency of nutritional support therapy utilization increased by 91.2%. Furthermore, 52.6% of respondents perceived a "significant" or "noticeable" career advancement, particularly in professional title promotion and international academic exchanges. The TNT course also positively impacted discipline development and management: 63.6% of the trainees' hospitals established clinical nutrition departments, 58.98% opened nutrition outpatient clinics, and 56.9% formed nutrition support teams. The adoption rate of standardized procedures, such as nutritional screening, exceeded 92.5% in relevant departments.Conclusions:Over the past 20 years, the CSPEN-led TNT course has successfully established a virtuous cycle of "knowledge dissemination–practice transformation–system innovation" in China. It has played a positive role in enhancing the professional competencies of healthcare workers and promoting the development of clinical nutrition as a discipline.

Objective:To assess the association between possible sarcopenia and the risk for frailty in middle-aged and elderly adults in China.Methods:A prospective cohort study design was used in this study. Data were from the China Health and Retirement Longitudinal Study during 2011-2018 and the baseline data in 2011, the follow up was conducted in 2013, 2015 and 2018, respectively. Frailty index was used to evaluate frailty status, and grip strength and repetitive sitting-up time were measured to detect possible sarcopenia. Cox proportional hazards regression model was used to estimate the association between possible sarcopenia and the risk for frailty in middle-aged and older adults.Results:In a 44 884 person-years follow-up, a total of 586 cases with frailty were recorded, and the incidence density of frailty was 13.06 per 1 000 person-year. The risk for frailty was also higher in those who were aged 60 years and above ( HR=2.05, 95% CI: 1.71-2.45), had a primary school education level or below ( HR=1.55, 95% CI: 1.29-1.85), had waist-to-height ratio ≥0.5 ( HR=1.39, 95% CI: 1.11-1.75) and had depression ( HR=1.52, 95% CI: 1.28-1.81). Drinking was associated with reduced risk for frailty ( HR=0.76, 95% CI: 0.62-0.94). The risk for frailty increased ( HR=1.73, 95% CI: 1.47-2.05) in those who might has possible sarcopenia. Conclusions:In middle-aged and elderly adults, those with possible sarcopenia, lower education level, central obesity and depression might be at high risk for frailty, and early interventions for high-risk population can be taken to slow the progression of frailty.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Neutrophil extracellular traps (NETs), intricate reticular structures released by activated neutrophils, play a pivotal regulatory role in the pathogenesis of malignant tumors. Lung cancer is one of the most prevalent malignancies globally, with persistently high incidence and mortality rates. Recent studies have revealed that NETs dynamically modulate the tumor microenvironment through unique pathological mechanisms, exhibiting complex immunoregulatory characteristics during the progression of lung cancer, and this discovery has increasingly become a focal point in tumor immunology research. This paper provides a comprehensive review of the latest advancements in NETs research related to lung cancer, offering an in-depth analysis of their impact on lung cancer progression, their potential diagnostic value, and the current state of research on targeting NETs for lung cancer prevention and treatment. The aim is to propose novel strategies to enhance therapeutic outcomes and improve the prognosis for lung cancer patients.
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Extracellular Traps/immunology* ; Humans ; Lung Neoplasms/metabolism* ; Neutrophils/metabolism* ; Animals ; Tumor Microenvironment

Objective:To assess the association between possible sarcopenia and the risk for frailty in middle-aged and elderly adults in China.Methods:A prospective cohort study design was used in this study. Data were from the China Health and Retirement Longitudinal Study during 2011-2018 and the baseline data in 2011, the follow up was conducted in 2013, 2015 and 2018, respectively. Frailty index was used to evaluate frailty status, and grip strength and repetitive sitting-up time were measured to detect possible sarcopenia. Cox proportional hazards regression model was used to estimate the association between possible sarcopenia and the risk for frailty in middle-aged and older adults.Results:In a 44 884 person-years follow-up, a total of 586 cases with frailty were recorded, and the incidence density of frailty was 13.06 per 1 000 person-year. The risk for frailty was also higher in those who were aged 60 years and above ( HR=2.05, 95% CI: 1.71-2.45), had a primary school education level or below ( HR=1.55, 95% CI: 1.29-1.85), had waist-to-height ratio ≥0.5 ( HR=1.39, 95% CI: 1.11-1.75) and had depression ( HR=1.52, 95% CI: 1.28-1.81). Drinking was associated with reduced risk for frailty ( HR=0.76, 95% CI: 0.62-0.94). The risk for frailty increased ( HR=1.73, 95% CI: 1.47-2.05) in those who might has possible sarcopenia. Conclusions:In middle-aged and elderly adults, those with possible sarcopenia, lower education level, central obesity and depression might be at high risk for frailty, and early interventions for high-risk population can be taken to slow the progression of frailty.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.