Hyperuricemia （HUA） is a common metabolic disorder characterized by persistently elevated serum uric acid levels, leading to uric acid-related renal injury through complex mechanisms involving inflammation, oxidative stress, and fibrosis. Key traditional Chinese medicine （TCM） formulas （e.g., Simiao Powder, Tongfengning） and individual herbal compounds （alkaloids, flavonoids, polysaccharides） with urate-lowering and renal protective properties were systematically summarized, including their mechanisms of regulating uric acid transporters （organic anion transporter 3, urate anion transporter 1, glucose transporter type 9）, inhibiting inflammatory responses （via NF-κB signaling）, reducing oxidative stress （via mitochondrial pathways and antioxidant enzyme enhancement）, and attenuating renal fibrosis （via PI3K/AKT signaling）. The challenges of current studies mainly focus on unclear mechanisms of action and insufficient clinical research. Future research may further explore TCM resources, clarify dual-action mechanisms of urate reduction and renal protection, and identify new therapeutic strategies for hyperuricemia-related renal injury.

This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry* ; Desiccation/methods* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Kinetics ; Quality Control ; Abietanes

OBJECTIVES: To study the effects of early respiratory training combined with swallowing function training on physical development and neurodevelopment at a corrected gestational age of 6 months in infants with bronchopulmonary dysplasia (BPD). METHODS: A total of 69 BPD infants who could not be fed completely orally were prospectively selected from the Department of Neonatology of Hunan Children's Hospital between January 2018 and January 2021. Based on a random number table, the infants were divided into a conventional group (35 cases) and a training group (34 cases) (with 8 cases lost to follow-up; the final follow-up included 31 cases in the training group and 30 cases in the conventional group). Both groups received routine clinical treatment and care, while the training group additionally received respiratory and swallowing function training until the infants could independently feed orally. The weight, length, Gesell Developmental Schedule (GDS) results, readmission rate, and multiple readmission rate (two or more admissions) were compared between the two groups at a corrected age of 6 months. RESULTS: At corrected gestational age of 6 months, the training group had higher weight, length, and GDS scores in personal-social, language, gross motor, fine motor, and adaptive development compared to the conventional group (P<0.05). The readmission rate and multiple readmission rate were lower in the training group compared to the conventional group (P<0.05). CONCLUSIONS Early respiratory training combined with swallowing function training for BPD infants in a neonatal intensive care unit setting helps improve physical and neurological development and reduces the readmission rate.
Humans ; Bronchopulmonary Dysplasia/physiopathology* ; Prospective Studies ; Male ; Female ; Infant ; Deglutition/physiology* ; Gestational Age ; Infant, Newborn ; Breathing Exercises ; Child Development

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

Objective To investigate residents'willingness to use"internet+nursing services"of a community in Xiamen City and provide reference for the code of practice to promote the service.Methods A total of 350 community residents in Xiamen City were investigated by convenience sampling from January to December 2023.The questionnaire was self-designed with regard to their willingness to use"internet+nursing services".Results 336 questionnaires were effectively collected.The total score of willingness to use"internet+nursing services"of community residents in Xiamen City was(68.80±8.73)points,but only 19.6％of residents knew about"internet+nursing services".There were statistically significant differences in willingness to use among community residents with different ages,medical payment type,whether they knew"internet+nursing services"or not,and the number of service items needed(P＜0.05).Among them,age,whether they knew"internet+nursing services"or not and the number of service items needed were the main influencing factors of willingness to use(P＜0.05).Conclusion Community residents in Xiamen City show above the middle level of willingness to use"internet+nursing services".However,the popularity of"internet+nursing services"has a large room for improvement.The publicity to the residents should be strengthened,and the care needs of residents with different demographic characteristics should be considered.The supporting application functions of such platforms should be designed to meet the health needs of community residents,especially elderly patients with great demand for services.

Objective To investigate residents'willingness to use"internet+nursing services"of a community in Xiamen City and provide reference for the code of practice to promote the service.Methods A total of 350 community residents in Xiamen City were investigated by convenience sampling from January to December 2023.The questionnaire was self-designed with regard to their willingness to use"internet+nursing services".Results 336 questionnaires were effectively collected.The total score of willingness to use"internet+nursing services"of community residents in Xiamen City was(68.80±8.73)points,but only 19.6％of residents knew about"internet+nursing services".There were statistically significant differences in willingness to use among community residents with different ages,medical payment type,whether they knew"internet+nursing services"or not,and the number of service items needed(P＜0.05).Among them,age,whether they knew"internet+nursing services"or not and the number of service items needed were the main influencing factors of willingness to use(P＜0.05).Conclusion Community residents in Xiamen City show above the middle level of willingness to use"internet+nursing services".However,the popularity of"internet+nursing services"has a large room for improvement.The publicity to the residents should be strengthened,and the care needs of residents with different demographic characteristics should be considered.The supporting application functions of such platforms should be designed to meet the health needs of community residents,especially elderly patients with great demand for services.

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

Objective:To analyze the efficacy and safety of nalbuphine for analgesia in patients with non-mechanical ventilation in intensive care unit (ICU).Methods:From December 2018 to August 2021, a multicenter randomized controlled clinical study was conducted to select non-mechanical ventilation patients with analgesic needs admitted to ICU of four hospitals in Henan Province and Guizhou Province. Patients were randomly assigned to nalbuphine group and fentanyl group. The nalbuphine group was given continuous infusion of nalbuphine [0.05~0.20 mg/(kg·h)], and the fentanyl group was given continuous infusion of fentanyl [0.5~2.0 μg/(kg·h)]. The analgesic target was critical-care pain observation tool (CPOT) score<2. The observation time was 48 hours. The primary endpoint was CPOT score, the secondary endpoints were Richmond agitation-sedation score (RASS), ICU length of stay, adverse events, and proportion of mechanical ventilation. The quantitative data of the two groups were compared by t test or Mann-Whitney U test. The enumeration data were compared by chi square test or Fisher exact probability method. The data at different time points between groups were compared by repeated measures analysis of variance. Results:A total of 210 patients were enrolled, including 105 patients in the nalbuphine group and 105 patients in the fentanyl group. There was no significant difference in baseline data between the two groups (all P>0.05). There was no significant difference in CPOT score between nalbuphine group and fentanyl group at each time point after medication ( P>0.05), the CPOT score of both groups at each time point after medication was significantly lower than that before medication, and the analgesic target could be achieved and maintained 2 hours after medication. There was no significant difference in RASS between the two groups at each time point after medication ( P>0.05), which was significantly lower than that before medication, and the target sedative effect was achieved 2 hours after medication. There was no significant difference in ICU length of stay between nalbuphine group and fentanyl group [5.0(4.0,7.5) d vs. 5.0(4.0,8.0) d, P=0.504]. The incidence of delirium, nausea and vomiting, abdominal distension, pruritus, vertigo and other adverse events in the nalbuphine group was lower than that in the fentanyl group (all P<0.05). There was no significant difference in the incidence of other adverse events such as deep sedation, hypotension and bradycardia between the two groups (all P>0.05). The incidence of respiratory depression in nalbuphine group was not significantly different from that in fentanyl group ( P>0.05), but the proportion of mechanical ventilation was significantly lower than that in the fentanyl group [1.9% (2/105) vs. 8.6%(9/105), P=0.030]. Conclusions:Nalbuphine could be used for analgesia in ICU patients with non-mechanical ventilation. The target analgesic effect could be achieved within 2 hours, and it had a certain sedative effect with a low incidence of adverse reactions.

Objective To investigate the genetic association between nonalcoholic fatty liver disease(NAFLD)and type 2 diabetes mellitus(T2DM)using bidirectional two-sample Mendelian randomization(MR),as well as the causal relationship between NAFLD and T2DM across different body mass index(BMI)categories.Methods The data were derived from genome-wide association studies conducted in European populations,with a sample size of 32 941 cases for NAFLD,312 646 cases for T2DM,and 681 275 cases for BMI.The univariate and multivariate MR methods were used to assess the bidirectional causal relationship between NAFLD and T2DM in the general population and across different BMI subtypes.The methods of inverse-variance weighting,MR-Egger regression,constrained maximum likelihood and model averaging,and weighted median were used to conduct the MR analysis,and MR-Pleiotropy Residual Sum and Outlier,radial MR,the MR-Egger intercept method,and the Cochrane Q test were used for sensitivity analysis.Results The univariate MR analysis revealed a bidirectional causal relationship between NAFLD and T2DM in the general population(forward analysis:odds ratio[OR]=9.75,95%confidence interval[CI]:2.57-37.00,P＜0.001;reverse analysis:OR=1.01,95%CI:1.00-1.01,P＜0.01).After adjustment for BMI,the multivariate MR analysis showed that the causal relationship between NAFLD and T2DM remained significant in the general population(OR=33.12,95%CI:7.57-144.95,P＜0.000 1).The subgroup analysis showed a causal relationship between NAFLD and T2DM across all BMI subtypes(lean subgroup:OR=12.19,95%CI:3.35-44.40,P＜0.001;overweight subgroup:OR=4.30,95%CI:1.69-10.92,P＜0.01;obese subgroup:OR=1.67,95%CI:1.14-2.44,P＜0.01).Conclusion This study reveals the causal relationship between NAFLD and T2DM in the general population of NAFLD and across different BMI subtypes from a genetic perspective.

Objective To investigate changes in the urinary metabolite profiles of children exposed to polycyclic aromatic hydrocarbons(PAHs)during critical brain development and explore their potential link with the intestinal microbiota. Methods Liquid chromatography-tandem mass spectrometry was used to determine ten hydroxyl metabolites of PAHs(OH-PAHs)in 36-month-old children.Subsequently,37 children were categorized into low-and high-exposure groups based on the sum of the ten OH-PAHs.Ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was used to identify non-targeted metabolites in the urine samples.Furthermore,fecal flora abundance was assessed by 16S rRNA gene sequencing using Illumina MiSeq. Results The concentrations of 21 metabolites were significantly higher in the high exposure group than in the low exposure group(variable importance for projection>1,P<0.05).Most of these metabolites were positively correlated with the hydroxyl metabolites of naphthalene,fluorine,and phenanthrene(r=0.336-0.531).The identified differential metabolites primarily belonged to pathways associated with inflammation or proinflammatory states,including amino acid,lipid,and nucleotide metabolism.Additionally,these distinct metabolites were significantly associated with specific intestinal flora abundances(r=0.34-0.55),which were mainly involved in neurodevelopment. Conclusion Higher PAH exposure in young children affected metabolic homeostasis,particularly that of certain gut microbiota-derived metabolites.Further investigation is needed to explore the potential influence of PAHs on the gut microbiota and their possible association with neurodevelopmental outcomes.