Objective: To investigate the impact of milk and egg supplementation on body composition and bone mineral density of rural primary school students in Yunnan Province, so as to provide a reference for developing targeted nutritional intervention strategies. Methods: In December 2023, a cluster sampling method was adopted to select students from grades one to three in four primary schools each from Jinggu and Shidian countys of Yunnan Province, as the intervention group (662 students). Additionally, two boarding primary schools were selected from each county based on the principle of matching scale and student numbers as the control group (455 students). Starting from April 2023, the intervention group received 200 mL milk and 50 g eggs during the break on school days for 8 months, while the control group maintained their usual diet behavior. Body composition was measured by using bioelectrical impedance analysis, and distal radial bone mineral density was assessed via dual energy X-ray absorptiometry in April and December 2023. The intervention effects were analyzed by using a difference in-differences approach. Results: The final measurements of body fat percentage, skeletal muscle mass and fat free mass of the intervention group and the control group of primary school students were significantly higher than the baseline values, and the net effect of milk and egg intervention on these body composition indicators was not statistically significant ( P >0.05, both before and after adjustment). In contrast, bone mineral density increased significantly by 0.02 g/cm 2 in the intervention group. The net intervention effect on bone mineral density was statistically significant ( β=0.02, 95%CI =0.00-0.04), and remained significant after model adjustment ( β=0.02, 95%CI =0.00-0.04) (both P < 0.05). Subgroup analysis showed statistically significant effects of the intervention among girls ( β=0.02, 95%CI =0.00-0.04), day students ( β=0.04, 95%CI =0.01-0.07), and students with normal nutritional status ( β=0.02, 95%CI =0.00-0.04) (all P <0.05). No significant effect of milk and egg supplementation was observed on body composition indicators (all P <0.05). Conclusions Milk and egg supplementation can improve bone mineral density among rural primary school students in Yunnan Province. It is recommended that rural school aged children should increase intake of milk and eggs to support growth and development.

Objective:To investigate whether biochanin A(BCA)has a protective effect against dextran sodium sulfate(DSS)-in-duced ulcerative colitis(UC)in mice.Methods:Thirty C57BL/6N mice were randomly divided into normal control group,DSS model group,sulfasalazine(SASP)-positive drug control group,and low/medium/high-dose(5 mg/kg,10 mg/kg,and 20 mg/kg)BCA groups.The mouse model of UC was induced by administering 2.5%DSS aqueous solution for 7 days.During the experimental period,both the normal control and model groups were given 0.5%carboxymethyl cellulose sodium solution daily by gavage.The positive control group was given 100 mg/kg SASP,while the BCA groups were given BCA suspensions at doses of 5 mg/kg,10 mg/kg,and 20 mg/kg.The ad-ministration lasted for 10 days.Body weight changes and fecal status of the mice were recorded every day;the colon was dissected,col-lected,and measured for its length.The colon was stained with Hematoxylin-Eosin for pathomorphological study.Quantitative poly-merase chain reaction was used to determine the levels of tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),and interleukin-10(IL-10)in the colon.Immunofluorescence was used to determine the expression of tight junction proteins,zonula occluden-1(ZO-1)and occludin,in the colon.Results:It showed that 5 mg/kg and 10 mg/kg BCA significantly alleviated weight loss in mice with UC,while 5 mg/kg,10 mg/kg,and 20 mg/kg BCA reduced the disease activity index scores.Additionally,BCA showed similar effects to SASP in improving the structure and reducing the shortening of the colon in mice with UC.Compared with the model group,all BCA groups had significantly decreased TNF-α(P=0.024、P=0.060、P=0.003)and IL-6(P=0.002、P<0.001、P<0.001)and significantly increased IL-10(P=0.006、P=0.003、P<0.001),with varying degrees of up-regulated expression of tight junction proteins.Conclusion:BCA can effectively alleviate DSS-induced symptoms,reduce intes-tinal damage,and protect the intestinal barrier in mice with UC.

Objective:To construct an artificial intelligence (AI)-assisted system based on deep learning for corneal in vivo confocal microscopy (IVCM) image recognition and to evaluate its value in clinical applications. Methods:A diagnostic study was conducted.A total of 18 860 corneal images were collected from 331 subjects who underwent IVCM examination at Renmin Hospital of Wuhan University and Zhongnan Hospital of Wuhan University from May 2021 to September 2022.The collected images were used for model training and testing after being reviewed and classified by corneal experts.The model design included a low-quality image filtering model, a corneal image diagnosis model, and a 4-layer identification model for corneal epithelium, Bowman membrane, stroma, and endothelium, to initially determine normal and abnormal corneal images and corresponding corneal layers.A human-machine competition was conducted with another 360 database-independent IVCM images to compare the accuracy and time spent on image recognition by three senior ophthalmologists and the AI system.In addition, 8 trainees without IVCM training and with less than three years of clinical experience were selected to recognize the same 360 images without and with model assistance to analyze the effectiveness of model assistance.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY2021-K148).Results:The accuracy of this diagnostic model in screening high-quality images was 0.954.Its overall accuracy in identifying normal/abnormal corneal images was 0.916 and 0.896 in the internal and external test sets, respectively.Its accuracy reached 0.983, 0.925 in the internal test sets and 0.988, 0.929 in the external test sets in identifying corneal layers of normal and abnormal images, respectively.In the human-machine competition, the overall recognition accuracy of the model was 0.878, which was similar to the average accuracy of the three senior physicians and was approximately 300 times faster than the experts in recognition speed.Trainees assisted by the system achieved an accuracy of 0.816±0.043 in identifying corneal layers of normal and abnormal images, which was significantly higher than 0.669±0.061 without model assistance ( t=6.304, P<0.001). Conclusions:A deep learning-based assistant system for corneal IVCM image recognition is successfully constructed.This system can discriminate normal/abnormal corneal images and diagnose the corresponding corneal layer of the images, which can improve the efficiency of clinical diagnosis and assist doctors in training and learning.

Traditional Chinese medicine （TCM） has a long history of application in China and has consistently played a vital role in treating diseases and saving lives. TCM prescriptions （compounds） constitute the primary form of clinical TCM treatment and significantly differ from western medicine （chemicals） due to the diverse composition and chemical constituents of TCM （compounds）. Nevertheless， the potential multi-component， multi-target， and multi-pathway action characteristics of TCM prescriptions also demonstrate their possible （complementary） therapeutic advantages when compared with single-component chemical drugs. Therefore， driven by the development of modern science and technology and the demands of the modernization and internationalization of TCM， modern theories regarding the complexity of TCM prescription effects have been continuously proposed： Different from the abstract language of traditional prescription theory， the modern TCM prescription theory is more inclined to illustrate the connotation of prescription compatibility concretely and vividly from an experimental and scientific perspective. In this paper， new theories on the complexity of TCM prescriptions proposed in recent years are summarized to provide research references and ideas for the greater role of TCM prescriptions and a better scientific understanding.

Objective:To preliminary investigate the impact of the diagnosis-related groups (DRG) payment method reform on the diagnosis and treatment of inpatient medical insurance patients with neuromyelitis optica spectrum disorders (NMOSD), and to propose potential improvement strategies.Methods:A single-center, retrospective study. From October 1, 2020, to September 30, 2022, 44 hospitalized medical insurance patients with acute-phase NMOSD diagnosed and treated at the First Affiliated Hospital of Northwest University (Xi'an First Hospital) were included in the study. Among them, there were 11 males and 33 females, with an average age of (40.8±20.2) years. According to the implementation time of DRG payment, patients were divided into two groups: group A, which consists of cases one year before the implementation of DRG payment from October 1, 2020 to September 30, 2021, and group B, which consists of cases one year after the implementation of DRG payment from October 1, 2021 to September 30, 2022, with 20 and 24 cases, respectively. Detailed information such as hospitalization duration, treatment methods, and hospitalization costs of the two groups of patients was collected. Comparative analysis was conducted on hospitalization costs and treatment methods between the two groups. For intergroup comparison, t-test was used for normally distributed data, and Mann-Whitney U test was used for skewed distributed data. Results:Among the 44 patients, 5 cases (5/24, 20.8%) received plasma exchange (PE) treatment, all of whom were in group B. The numbers of patients who received and did not receive intravenous immunoglobulin (IVIG) treatment were 9 and 11 in group A, respectively, and 7 and 12 in group B (except for 5 cases who received PE treatment), respectively. Compared with group A, there was no significant decrease in hospitalization duration ( t=0.004) and total hospitalization costs ( Z=0.036), as well as costs for western medicine ( Z=0.036), examinations ( Z=0.011), laboratory tests ( Z=0.040), treatments ( Z=0.017), and nursing ( Z=3.131) in group B, and the differences were not statistically significant ( P>0.05). For patients receiving PE treatment, except for the cost of western medicine ( Z=0.062, P=0.804), the other costs ( Z=8.288, 5.013, 11.400, 10.925, 9.126) were significantly higher than those of patients not receiving PE treatment, and the hospitalization duration ( t=20.474) was significantly prolonged, with statistically significant differences ( P<0.05). The total hospitalization costs of patients receiving IVIG treatment were significantly higher than those not receiving IVIG treatment in both group A and group B, with statistically significant differences ( Z=7.690, 10.314; P<0.05). There was no statistically significant difference in the comparison of total hospitalization costs between patients receiving IVIG treatment in group A and group B ( Z=0.137, P>0.05). Conclusions:There is no significant decrease in various hospitalization costs of NMOSD medical insurance patients in Xi'an after the implementation of DRG payment, especially for patients receiving PE treatment. It is suggested to optimize the rate stratification of NMOSD patients when implementing DRG payment methods.

Fentanyl is a fully synthetic opioid with analgesic and anesthetic properties. It has become a primary driver of the deadliest opioid crisis in the United States and elsewhere, consequently imposing devastating social, economic, and health burdens worldwide. However, the neural mechanisms that underlie the behavioral effects of fentanyl and its analogs are largely unknown, and approaches to prevent fentanyl abuse and fentanyl-related overdose deaths are scarce. This review presents the abuse potential and unique pharmacology of fentanyl and elucidates its potential mechanisms of action, including neural circuit dysfunction and neuroinflammation. We discuss recent progress in the development of pharmacological interventions, anti-fentanyl vaccines, anti-fentanyl/heroin conjugate vaccines, and monoclonal antibodies to attenuate fentanyl-seeking and prevent fentanyl-induced respiratory depression. However, translational studies and clinical trials are still lacking. Considering the present opioid crisis, the development of effective pharmacological and immunological strategies to prevent fentanyl abuse and overdose are urgently needed.
Humans ; Fentanyl/therapeutic use* ; Opioid-Related Disorders/drug therapy* ; Drug Overdose/prevention & control* ; Analgesics, Opioid/adverse effects* ; Vaccines/therapeutic use* ; Brain

Accurate determination of drug concentration in blood samples is a necessary prerequisite for therapeutic drug monitoring (TDM) and the implementation of precise drug treatment, and it is also one of the important tasks of clinical laboratories.TDM plays an important role in clinical treatment in immunosuppressants (cyclosporine A, tacrolimus), psychotropic drugs (valproic acid, carbamazepine) and other drugs that require monitoring of drug concentration. There are many types of methods used for TDM for the detection of drug concentration in blood samples. At present, only a few immuno-assay methods were approved for marketing with detection systems and kits, most methods used for TDM are high performance liquid chromatography or liquid chromatography-tandem mass spectrometry which belong to laboratory developed tests (LDTs). Detection of TDM samples has many problems, such as incomparable testing results and large bias between different testing systems, including the biasbetween both different methods and different laboratories using the same method. There are several reasons:(1) the traceability chain has not been established, (2) the methods have not yet been standardized, (3) the coverage of the EQA plan is insufficient, (4) the awareness of TDM laboratories to participate in the EQA plan is insufficient, (5) TDM standardization is still in its infancy. These problems restrict the clinical application of TDM and the development of related research work. In order to solve these problems, it is necessary to: (1) Establish a reference system to realize the traceability of the test results; (2) While gradually increasing the TDM EQA plan items, the Trueness evaluation plan should be carried out as soon as possible; (3) Standardized TDM sample testing Technology; (4) Strengthen laboratory management and establish a complete quality management system.

Objective: The aim of this study is to evaluate the commutability of 16 processed materials for 17-hydroxyprogesterone by using 2 commutability assessment approaches. Methods: 52 serum specimens were collected in Clinical Laboratory Department of Beijing Hospital from February 2018 to June 2019. According to the report of the Clinical and Laboratory Standards Institute (EP14-A3) document and the recommendations of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) working group on commutabilityassessment, serum 17-hydroxyprogesterone isotope diluent chromatogram tandem mass spectrometry (ID-LC/MS/MS) was used for comparison. Three clinical routine analysis systems (1 radioimmunoassay, 2 LC/MS analysis methods) were used to determine the concentration of 17-hydroxyprogesterone in 52 human serum samples and 16 processed materialsfor commutabilityassessment. Results: Combined with the results of the two commutability assessment, all accuracy verification materials and national steroid hormone standards showed good commutability in the LC/MS analysis system, and 6/9 EQA materials showed commutability in the three routine analysis systems.All materials showed good commutability in the LC/MS analysis system of bias difference method. Conclusions The two kinds of commutability assessment results are different. Bias difference method has more clinical value, but it has certain application limitations. The use of fresh frozen human serum as a quality assessment materialfor serum 17-hydroxyprogesterone is meets the commutability requirement.

Objective:To establish a candidate reference method for simultaneous determination of whole blood iron and copper based on ICP-MS technology.Methods:Cobalt (Co) was chosen as the internal standard, and was added gravimetrically into the standard solution and the whole blood sample. The whole blood sample was digested by electric heating plate and diluted. The isotopic ratios of 57Fe/ 59Co and 63Cu/ 59Co were measured by ICP-MS in the isotopic analysis mode. The precision, standard recovery and accuracy of the method were verified by measuring EQA materials and certified standard materials, and the performance of the method was further evaluated by method comparison. Results:The detection limit of iron is 0.136 mg/kg and the limit of quantification was 0.454 mg/kg in this method. The detection limit of copper in whole blood was 0.008 mg/kg and the limit of quantification was 0.027 mg/kg. The standard curve of copper ranges from 0.83-3.33 mg/kg, iron ranges from 167-667 mg/kg. The calibration curve of iron and copper was good linearity ( R 2>0.999 90). The precision of the method did well. The total CV range was 0.42%-0.68% for iron and 0.14%-0.94% for copper. The spike recoveries were all around 100%, the range of iron: 99.69%-100.07%; copper: 99.26%-100.51%. The correlation between this method and the existing clinical mass spectrometry methods was good. Conclusions:A candidate reference ICP-MS method for simultaneous determination of whole blood Fe and Cu was established. This is a simple and rapid method with good precision and spike recovery compared to the traditional one.

Objective To evaluate the comparability and consistency of two kinds of triglycerides reference methods, one of which is the isotope dilution liquid chromatography-mass spectrometry (LC/MS) in the Cholesterol Reference Method Laboratory Network (CRMLN), the other isthehigh-performance liquid chromatography (HPLC) method for triglyceride detection in China. Methods 52 fresh frozen sera with triglycerides levels among 0.45-4.52 mmol/L were determined by LC/MS and HPLC. After evaluation the precision and accuracy of the two methods,a series of analyses were conducted including plotting to scatter plots and deviation graphs, testing outliers, selecting the best fitting regression models and calculating the regression equations and parameters, and so on. The expected deviation at the level of medical decision of triglycerides and the 95％confidence range were statistically analyzed.Results For HPLC method, the CV of instrument measurement was 0.29％(0％-1.16％), the total CV of samples measurement was 0.54％(0.04％-1.28％), and the average bias of the reference materials was 0.22％(-0.43％-0.68％). ForLC/MSmethod,the CV of instrument measurement was 0.55％(0％-1.68％),the total CV of samples measurement was 0.79％(0％-1.93％), and the average bias of the NIST reference materials was 0.09％(-0.73％-1.29％). No outlier was found from the scatter plots and the statistical analysis and the linear regression was fitted to analyze the results of the two methods. The linear regression parameters of two methods for 52 fresh frozen human sera were as follows:the slope was 0.9988,the standard error of slope was 0.0035, the intercept was 0.0037mmol/L, the standard error of intercept was 0.0030 mmol/L, the standard error of Y-estimate was 0.0236 mmol/L,and the correlation coefficient was 0.9997. Compared with the LC/MS method,the absolute deviation of fresh sera by HPLC method was-0.001 mmol/L (-0.070-0.056 mmol/L), with a relative deviation of 0.13％ (-2.01-2.83％). T-test showed no statistically significant difference between the two methods. The expected deviations at the triglycerides medicine decision level were within the 95％confidence range,and the expected deviations were far less than the allowable error. Conclusions The HPLC method of triglyceridesdetetion has good consistency and comparability with LC/MS method as one of the reference methods of CRMLN. Because of the advantages of HPLC method such as low cost, simplicity,less technical need,and better precision,HPLC method is expected to play an important role in the process of standardization and traceability of serum triglycerides.