Objective: To explore the longitudinal associations between dietary macronutrients and lung function in schoolaged children, so as to provide the nutritional research evidence for promoting children s lung health. Methods: In November 2021, two primary schools located in Chengdu, Sichuan Province were selected from the Southwest China Childhood Nutrition and Growth (SCCNG) cohort by a stratified cluster random sampling method, enrolling a total of 1 112 school aged children aged 8 to 13 years. At baseline, the dietary and sociodemographic characteristics of the children were assessed. One year later, the forced vital capacity (FVC) of the children was measured and converted into Z scores (FVC- Z ), while the vital capacity index (VCI) was also calculated. Generalized linear regression analysis was employed to examine the associations between dietary macronutrients and lung function, considering interactions with gender and age, followed by stratified analysis. Results: After adjusting for confounding factors, the analysis results of the generalized linear regression model showed that the carbohydrate energy ratio was negatively correlated with FVC- Z ( β =-0.02) and VCI ( β =-0.16), while the fat energy ratio showed a positive correlation with FVC- Z ( β =0.03) and VCI ( β =0.23) ( P <0.05). The protein energy ratio was positively correlated with FVC- Z ( β =0.09) and VCI ( β =0.60) specifically in girls ( P <0.05). Additionally, there was an interaction effect of age on the associations between macronutrients and lung function ( P <0.01); in children aged 8-9 and 10-11, the carbohydrate energy supply ratio was negatively correlated with FVC- Z ( β =-0.04, -0.03) and VCI ( β =-0.29, -0.21), and fat energy supply ratio was positively correlated with FVC- Z ( β =0.07, 0.05) and VCI ( β =0.46, 0.32) ( P <0.05). Conclusions There are age and sex differences in the association of dietary macronutrients with lung function, with a low carbohydrate, high fat diet promoting lung function in children. Additionally, protein intake appears to have a positive influence on the lung function of girls. The early school age period may represent a critical window for dietary interventions aimed at promoting lung health.

Objective:To explore the clinical efficiency of cognitive behavioral training combined with methylphenidate hydrochloride sustained-release tablets on children with attention-deficit hyperactivity disorder (ADHD).Methods:118 children with ADHD in Northwest Women' s and Children' s Hospital were selected from June 2022 to July 2023. Based on the principle of baseline feature matching between groups, they were randomly divided into MPH group and combined group by coin tossing method, with 59 cases in each group. Children in the MPH group were treated with MPH sustained-release tablets orally (The initial dose was 18mg each time, whole tablet was swallowed in the morning, dose adjustment was increased by 18 mg each time, once a week, and maximum dose was not more than 54 mg), while the children in the combined group were combined with cognitive behavior training on the basis of the treatment in the MPH group. Children in both groups were continuously treated for 3 months. The clinical efficacy, scores of dimensions of Swanson Nolan and Pelham, rating scale-version IV (SNAP-IV) parent edition, scores of Integrated Visual and Auditory Continuous Performance Test (IVA-CPT), scores of Wisconsin Card Sorting Test (WCST) and serological indicators [dopamine, 25 (OH)D 3, cortisol, brain-derived neurotrophic factor (BDNF)] before and after treatment and incidence of adverse reactions were compared between groups. Results:After 3 months of treatment, the combined group [93.2%(55/59)] had higher total effective rate than the MPH group [79.7% (47/59)] ( χ2=4.63, P=0.031). The scores of three dimensions, including attention deficit, hyperactivity-impulsion and oppositional defiance in both groups were lower than those before treatment, and the scores in combined group were lower than those in MPH group, the differences were statistically significant [(1.27±0.19) points vs (1.65±0.23) points, (1.35±0.25) points vs (1.78±0.27) points, (1.55±0.13) points vs (1.86±0.22) points, t=9.78, 8.98, 9.32,respectively, all P<0.001]. The control quotient score and attention quotient score were higher than those before treatment, and the scores in combined group were higher than those in MPH group, the differences were statistically significant [(99±6) points vs (91±3) points, (98±5) points vs. (92±3) points, t=8.47, 7.46,respectively, all P<0.001]. The total response count, completed categories count and correct response count were all higher than those before treatment, and the scores were higher in combination group than those in MPH group, the differences were statistically significant [(116±16) points vs(105±14) points, (4.57±0.35) points vs (4.15±0.25) points, (83±12) points vs (72±10) points, t=4.07, 7.50, 5.48, respectively, all P<0.001). Perspective response count was lower than that before treatment, and the score in combined group was lower than that in MPH group, the difference was statistically significant [(15.6±1.8) points vs (18.2±2.0) points, t=7.35, P<0.001]. Serum levels of dopamine, 25(OH)D 3 and BDNF were higher than those before treatment, and the levels in combined group were all higher than those in MPH group, the differences were statistically significant [(16.2±2.8) pmol/L vs (13.8±2.4) pmol/L, (78±10) nmol/L vs. (70±9) nmol/L, (1 060±135) pmol/L vs (986±126) pmol/L, t=5.00, 4.59, 3.08, respectively, all P<0.05]. Serum cortisol level was lower than that before treatment, and the level in combined group was lower than that in MPH group, the difference was statistically significant [(255±27) nmol/L vs (271±28) nmol/L, t=3.16, P=0.002]. There was no statistical significance difference in the incidence rate of adverse reactions between combined group and MPH group during treatment [6.8% (4/59) vs 5.1% (3/59)] ( χ2=0.00, P=1.000). Conclusion:Cognitive behavioral training combined with MPH sustained-release tablets in the treatment of children with ADHD can significantly enhance the efficacy, improve the ADHD symptoms and cognitive function, and increase the levels of serum dopamine and 25 (OH)D 3, and have good safety.

Objective:To develop a deep learning-based segmentation model MT-UNet to automatically segment bone metastases and benign bone lesions in bone scintigraphy with SPECT/CT.Methods:A total of 93 patients (48 males and 45 females, age 28-84 years) who underwent bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from June 2023 to December 2023 were enrolled retrospectively in this study, with a total of 184 bone lesions (94 benign lesions and 90 metastatic tumors). The MT-UNet was employed to segment bone lesions in SPECT, CT and SPECT/CT images respectively. Comparative analysis with 8 segmentation models was performed. The training set and validation set were divided by using 5-fold cross-validation and transfer learning was introduced to further enhance the robustness of the model. An additional cohort of 22 patients (15 males and 7 females, age 37-87 years) who received bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from April 2023 to May 2023 were included, comprising 40 bone lesions (22 benign lesions and 18 metastatic tumors) as the test set of MT-UNet. Segmentation performance of different models was assessed using accuracy, sensitivity, specificity, AUC, intersection over union and Dice similarity coefficient (DSC). Delong test was used to compare the segmentation efficacy among different models in the test set.Results:In the validation set, MT-UNet demonstrated DSC of 0.940, 0.962, and 0.963 for SPECT, CT, and SPECT/CT bone lesion segmentation, respectively, which were outperformed other models. Following transfer learning implementation, the SPECT/CT model′s DSC was improved to 0.984. In the test set, MT-UNet maintained comparable segmentation performance to the validation set, with significant AUC differences among the three models ( Z values: from -15.42 to -9.27, all P<0.01). Compared with conventional image interpretation, MT-UNet-based segmentation reduced physician interpretation time from 164min to 102min. Conclusion:MT-UNet has shown good performance in automatic segmentation of bone metastases and benign bone lesions, and is expected to become an important part of SPECT/CT image intelligent diagnosis system for bone metastases.

Objective:To evaluate the role of peptidylarginine deiminase 4 (PAD4)-mediated development of neutrophil extracellular traps (NETs) in lung ischemia-reperfusion injury (LIRI) in mice.Methods:Ninety-six clean-grade healthy male C57BL/6 mice, aged 6-8 weeks, weighing 20-25 g, were divided into 4 groups ( n=24 each) using a table of random numbers: sham operation group (group S), sham operation + PAD4 specific inhibitor GSK484 group (group S+ G), lung ischemia-reperfusion group (group L), and lung ischemia-reperfusion + GSK484 group (group L+ G). After anesthesia and mechanical ventilation, mice were subjected to left hilum occlusion for 1 h followed by 2 h of reperfusion to establish the LIRI model in L and L+ G groups. Mice underwent thoracotomy for 3 h without left hilum occlusion in S and S+ G groups. In S+ G and L+ G groups, GSK484 4 mg/kg was intraperitoneally injected once a day for 3 days before developing the model. At the end of reperfusion, blood samples were collected from the abdominal aorta for blood gas analysis to record arterial partial pressure of oxygen (PaO 2). Mice were then sacrificed to collect bronchoalveolar lavage fluid (BALF) and to obtain lung tissues. The concentrations of interleukin (IL)-1β, IL-6, tumor necrosis factor-α (TNF-α) and myeloperoxidase (MPO) in BALF were measured using enzyme-linked immunosorbent assay. The wet/dry lung weight (W/D) ratio was calculated. The lung tissues were obtained for microscopic examination of pathological changes (with a light microscope) which were scored after hematoxylin-eosin staining and for determination of the contents of superoxide dismutase (SOD) and malondialdehyde (MDA) (by colorimetric assay) and expression of PAD4, neutrophil elastase (NE), high-mobility group box 1 (HMGB1), and citrullinated histone 3 (Cit-H3) (by Western blot). Results:Compared with group S, lung injury scores and W/D ratios were significantly increased, PaO 2 was decreased, the concentrations of IL-1β, IL-6, TNF-α and MPO in BALF were increased, the content of SOD was decreased, the content of MDA was increased, and the expression of PAD4, NE, HMGB1 and Cit-H3 was up-regulated in L and L+ G groups ( P<0.05), and no significant changes were observed in the aforementioned parameters in group S+ G ( P>0.05). Compared with group L, lung injury scores and W/D ratios were significantly decreased, PaO 2 was increased, concentrations of IL-1β, IL-6, TNF-α, and MPO in BALF were decreased, the content of SOD was increased, the content of MDA was decreased, and the expression of PAD4, NE, HMGB1 and Cit-H3 was down-regulated in group L+ G ( P<0.05). Conclusions:Up-regulated PAD4 expression can promote the development of NETs and aggravate oxidative stress and inflammatory responses in lung tissues, thereby participating in LIRI in mice.

ObjectiveTo investigate the chemical hazards in the production line of lithium batteries, so as to provide a scientific basis for the management of occupational-health risk and to promote the healthy and sustainable development of the lithium battery industry. MethodsAn on-site survey on the process flow of the production of lithium battery was conducted in an enterprise. Volatile organic compounds (VOCs) in the occupational environment were collected by Summa canisters, carbonates and N-methyl pyrrolidone (NMP) were collected using activated carbon tubes, and airborne metals were collected using filter membranes. VOCs, carbonates and NMP were detected by gas chromatography-mass spectrometry (GC-MS), and airborne metal elements in the dust samples were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). ResultsNon-targeted environmental monitoring results indicated that NMP was detected in the negative /positive electrode coating, assembly and drying filling workstations, dimethyl carbonate (DMC) was detected in the assembly, drying and electrolyte injection workstations, and ethyl methyl carbonate (EMC) was detected solely in the electrolyte injection workstation. Semi-quantitative analyses of VOCs identified 136 pollutants, including acrylonitrile and halohydrocarbons. Quantitative targeted environmental monitoring results revealed the highest geometric mean (GM) concentration of EMC (31.450 mg·m^-3) was found in the assembly and drying workstations, diethyl carbonate (DEC) was detected in all workstations. While vinylene carbonate (VC) and ethylene carbonate (EC) were detected only in electrolyte injection, assembly and drying workstations. NMP was detected in all positive electrode coating samples, with a GM concentration of 5.68 mg·m^-3 (concentration range: 4.0‒ 7.4 mg·m^-³). Lithium was exclusively detected in dust samples from the liquid injection workstation (GM: 0.014 μg·m^-³). ConclusionNMP, EMC, DEC, and other chemicals are identified at the key workstations such as the positive electrode coating, electrolyte injection, assembly and drying in the lithium production line. Furthermore, semi-quantitative VOCs analyses identified 136 pollutants, demonstrating a characteristic of multicomponent chemical exposure.

BACKGROUND:Delayed healing and nonunion of fractures are common clinical issues.Clinical observations have shown that patients with limb fractures combined with traumatic brain injury experience significantly faster fracture healing compared with those without brain injury.The potential mechanisms behind this phenomenon have become a crucial focus of current research.Recent studies indicate that traumatic brain injury significantly accelerates callus formation and fracture healing processes by regulating cytokines,hormones,neural signals,and stem cell mechanisms.OBJECTIVE:To summarize the latest research progress in the mechanisms by which traumatic brain injury promotes callus formation and fracture healing,thereby providing a theoretical basis for clinical applications.METHODS:The first author conducted a search of CNKI,WanFang,VIP,PubMed,Embase,Web of Science,and Cochrane Library databases for literature published from January 2013 to October 2024,with some references traced back up to 20 years.The search terms used were"traumatic brain injury,callus,fracture healing,inflammatory response,cytokines,hormones,neuropeptides,genes,stem cells"in Chinese and English.A total of 83 articles meeting the inclusion criteria were ultimately selected.RESULTS AND CONCLUSION:The mechanism by which traumatic brain injury promotes callus formation and fracture healing is highly complex,involving multiple regulatory pathways such as cytokines,hormones,the nervous system,and stem cells.However,the precise mechanisms are still not fully understood and require further investigation.Current research suggests that traumatic brain injury accelerates bone callus formation and bone tissue regeneration by promoting the release of cytokines(e.g.,insulin-like growth factor-1)and hormones(e.g.,growth hormone and leptin),regulating the nervous system,and promoting stem cell proliferation and differentiation.Additionally,traumatic brain injury triggers a series of immune responses,including the release of inflammatory factors and activation of immune cells,which modulate fracture healing.These responses improve local blood flow,cell migration,and fibroblast activation,supporting various stages of bone healing.Stem cell activation induced by traumatic brain injury is also crucial,as activated stem cells differentiate into osteoblasts,chondrocytes,and adipocytes,facilitating bone tissue regeneration and repair.Therefore,traumatic brain injury-induced immune responses and stem cell activation work together to accelerate fracture healing,providing essential support for the process.These mechanisms significantly shorten the healing time and improve patient outcomes.In conclusion,traumatic brain injury promotes callus formation and fracture healing through multiple mechanisms,highlighting its importance in bone repair.Future research should focus on the signaling pathways and regulatory factors influenced by traumatic brain injury to further understand its mechanisms.These findings will provide a foundation for developing targeted therapies,stem cell treatments,and neural regulation therapies,with potential clinical value in shortening healing time,optimizing recovery protocols,and improving prognosis.Exploring traumatic brain injury-induced biological effects will open new avenues for fracture treatment.

Peer support can improve negative emotions, cognitive level, self-coping, and quality of life in adolescents and young adults with cancer. The rise of digital health technology has facilitated the rapid development of online medical interventions, providing an opportunity for the development of online peer support. This study reviewed the intervention modalities, application forms, application effects and should prospects of online peer support applied in adolescent and young adult cancer patients, to provide a reference for improving healthcare professionals to conduct high-quality online peer support interventions.

This comprehensive review systematically explores the multifaceted applications, inherent challenges, and promising future directions of artificial intelligence (AI) within the medical domain. It meticulously examines AI's specific contributions to basic medical research, disease prevention, intelligent diagnosis, treatment, rehabilitation, nursing, and health management. Furthermore, the review delves into AI's innovative practices and pivotal roles in clinical trials, hospital administration, medical education, as well as the realms of medical ethics and policy formulation. Notably, the review identifies several key challenges confronting AI in healthcare, encompassing issues such as inadequate algorithm transparency, data privacy concerns, absent regulatory standards, and incomplete risk assessment frameworks. Looking ahead, the future trajectory of AI in healthcare encompasses enhancing algorithm interpretability, propelling generative AI applications, establishing robust data-sharing mechanisms, refining regulatory policies and standards, nurturing interdisciplinary talent, fostering collaboration among industry, academia, and medical institutions, and advancing inclusive, personalized precision medicine. Emphasizing the synergy between AI and emerging technologies like 5G, big data, and cloud computing, this review anticipates a new era of intelligent collaboration and inclusive sharing in healthcare. Through a multidimensional analysis, it presents a holistic overview of AI's medical applications and development prospects, catering to researchers, practitioners, and policymakers in the healthcare sector. Ultimately, this review aims to catalyze the deep integration and innovative deployment of AI technology in healthcare, thereby driving the sustainable advancement of smart healthcare.

Objective To formulate the 2025 edition of the Pharmacopoeia of the People's Republic of China of prefilled syringe silicone oil determination method,and to interpret the method content.Methods The prefilled syringe was added silicone solvent ethyl acetate to the roll edge of the sleeve and let it stand for extraction for 5 minutes,then put the silicon solvent in the evaporating dish dried at 105 ℃ to constant weight,then add 1mL ethyl acetate into the sleeve for rinsing and placing in the same evaporating dish,and then dry in a water bath at 105℃ to constant weight.The content of silicone oil in the sleeve of the prefilled syringe was calculated according to the quality difference.Results The reliability of the experimental method was verified by the ultimate extraction test,standard recovery test,and precision investigation.The results showed that the ultimate extraction could be achieved after 5 minutes of extraction with ethyl acetate.The recovery rate of the method was 100.0％-101.6％,and the precision was 3.5％.Conclusion The formulation of the determination method refers to the measurement method of silicone oil content in relevant standards at home and abroad,combined with the problems existing in the measurement of silicone oil content in daily tests,to further improve the operability of the detection method,the method is simple,efficient,feasible and reliable.

To provide an in-depth interpretation of the background and rationale behind the development of the standard for plastic bottle systems and components for eye drops as outlined in the 2025 edition of the Pharmacopoeia of the People's Republic of China(referred as the Chinese Pharmacopoeia),to facilitate stakeholders thorough understanding of the standard content,and to offer a strong support for its subsequent smooth implementation.Starting from the background of standard construction,an in-depth exploration was conducted into the quality control requirements for plastic bottle systems and components used for eye drops,and a detailed analysis was provided of the logic and rationale behind the establishment of quality control items.Related parties should develop product quality standards based on the general requirements of the guidelines for plastic materials and containers used in pharmaceutical packaging,taking into account the specific characteristics and practical application scenarios of plastic bottle systems and components for eye drops.The standard for plastic bottle systems and components for eye drops in the 2025 edition of the Chinese Pharmacopoeia are more scientific and flexible,which will help improve the quality of eye drop products in our country while also promoting innovation and development in the eye drop packaging industry.