Objective: To investigate the attention cognitive function and symptom correlations of school aged children with attention deficit hyperactivity disorder (ADHD)using event related potential (ERP) technology, so as to provide references for the early diagnosis of children with ADHD. Methods: A total of 52 school aged children diagnosed with ADHD at the outpatient department of the Third Affiliated Hospital of Zhengzhou University from September 2022 to September 2024 and 50 age /sex matched healthy controls were selected. The ERP experiment adopted the auditory Oddball task to conduct comparative analyses of the amplitude and latency of the mismatch negative(MMN) at the Fz, Cz, and Pz points of the scalp electrode and the P3a component respectively. The symptom assessment scales adopted the Swanson,Nolan,and Pelham-Ⅳ Rating Scale (SNAP-Ⅳ) and the Parent Symptom Questionnaire (PSQ), which were filled out by the parents. Spearman correlation analysis was used to analyze the correlation between ERP components and symptoms in schoolaged children with ADHD. Results: The latency of MMN components in the healthy control group on the Fz lead was (188.30±2.06)ms, and the amplitude was (-15.54±1.35)μV; the latency of the P3a component on the Pz lead was (312.82±7.80)ms, and the amplitude was (3.80±0.18)μV. The latency of MMN components in the ADHD group on the Fz lead was (188.94±1.39)ms, and the amplitude was (-14.78±1.40)μV; the latency of the P3a component on the Pz lead was (317.21±5.65)ms, and the amplitude was (3.70±0.13)μV. Compared with normal children, the MMN of children with ADHD had smaller amplitudes in the Fz and Cz leads, and the P3a had greater latency and smaller amplitudes in the Cz and Pz leads ( t =2.79,2.20；-2.04，-3.25；2.35,3.21， P <0.05). Correlation analysis showed that the latency of MMN in children with ADHD was positively correlated with the inattention score in the SNAP-Ⅳ( r =0.22), and the amplitude of MMN was negatively correlated with the inattention score in the SNAP-Ⅳ and the learning problem score in PSQ ( r = -0.26 , -0.34)( P <0.05). The latency of P3a was positively correlated with the scores of inattention in the SNAP-Ⅳ and the score of learning problems in the PSQ ( r =0.26 ,0.24); the amplitude of P3a was negatively correlated with the scores of attention deficit and hyperactivity/impulsivity in the SNAP-Ⅳ and the scores of learning problems and impulsivity/hyperactivity in the PSQ( r = -0.26 , -0.22, -0.25,-0.32)( P <0.05). Conclusions School aged ADHD children exhibit abnormal MMN/P3a components, indicating attention related cognitive dysfunction. Symptoms such as inattention, learning problems and hyperactivity/impulsivity in children with ADHD are related to abnormal components of MMN and P3a.

BACKGROUND:The researchers noted that upon embedding clinical-grade catgut and polyglycolide-co-lactide threads in the normal human"Zusanli"(ST 36)acupoint,the local area displayed temporal and inflammatory stimulatory effects,resulting in thread differentiation.However,the underlying mechanism behind thread involvement remains to be studied. OBJECTIVE:To investigate the expression levels of calcitonin gene-related peptide,5-hydroxytryptamine,leukotriene B4,and bradykinin at point"Zusanli"(ST 36)in rats after embedding catgut and polyglycolide-co-lactide respectively at different time points. METHODS:110 male SD rats were divided into a blank group(10 rats),a catgut embedding group(50 rats),and a polyglycolide-co-lactide embedding group(50 rats)according to the random number table method.In the blank group,no thread was embedded.In catgut embedding group and the polyglycolide-co-lactide embedding group,the thread was embedded in the left side of the ST36 acupoint once.Tissue was collected from the left side of the ST36 acupoint area 8 hours,3,7,14,and 21 days after embedding.The expression levels of calcitonin gene-related peptide and 5-hydroxytryptamine were detected by immunohistochemistry,and the contents of leukotriene B4 and bradykinin were detected by ELISA. RESULTS AND CONCLUSION:(1)Compared with the blank group,the expression of calcitonin gene-related peptide,5-hydroxytryptamine,bradykinin,and leukotriene B4 was significantly increased in the 8 hours,3,7,14,and 21 days of the catgut embedding group(P<0.05);calcitonin gene-related peptide expression was significantly increased in 8 hours,3,7,and 14 days in the polyglycolide-co-lactide embedding group(P<0.05);the expression of bradykinin was significantly increased in 8 hours,3,and 7 days(P<0.05);the expression of leukotriene B4 was significantly increased at 8 hours,3,7,14,and 21 days(P<0.05).(2)Compared with the polyglycolide-co-lactide embedding group,the expression of calcitonin gene-related peptide was increased at 7,14,21 days after thread embedding(P<0.05),and the expression of 5-hydroxytryptamine was increased at 8 hours,3,7,14 and 21 days after thread embedding(P<0.05);contents of leukotriene B4 and bradykinin in tissues were increased at 8 hours,3,14 and 21 days after embedding(P<0.05)in the catgut embedding group.(3)The results show that calcitonin gene-related peptide,5-hydroxytryptamine,leukotriene B4,and bradykinin in the acupoint region alter after catgut embedding in the ST36 of rats,as well as the alteration of calcitonin gene-related peptide,leukotriene B4,and bradykinin is found in the acupoint region after polyglycolide-co-lactide embedding in rats,which may be one of the mechanisms involved in the local time sensitive stimulus effects caused by embedding threads at acupoints.Moreover,there is a discernible difference between the two thread types.

Objective To provide foundational data for exploring the association between KIR genes and diseases by an-alyzing the frequency and polymorphism of killer-cell immunoglobulin-like receptor(KIR)genes in Han,Manchu and Kore-an populations in Jilin Province.Methods KIR gene typing was performed on 129 Manchu,198 Korean and 201 Han indi-viduals from Jilin using the polymerase chain reaction-sequence specific primers(PCR-SSP)technique.Results KIR3DL2,KIR3DL3,KIR3DP1 and KIR2DL4 were detected in all subjects.KIR2DL1,KIR2DL3,KIR2DS4,KIR3DL1 and KIR2DP1 genes had high detection frequencies,ranging from 93％to 98％across the three ethnic groups.In contrast,the detection rates of KIR2DL2,KIR2DL5,KIR3DS1,KIR2DS1,KIR2DS2,KIR2DS3 and KIR2DS5 were lower,ranging from 13％to 45％.Notably,the detection frequencies of KIR2DL5(17.83％)and KIR2DS1(17.83％)in the Manchu population were significantly lower than those in the Korean(42.93％,47.47％)and Han(33.83％,33.33％)populations in Jilin.The detection frequencies of KIR2DL5(42.93％)and KIR2DS1(47.47％)were significantly higher in the Korean popula-tion compared to the Han(33.83％,33.33％)and Manchu(17.83％,17.83％)population.The frequency of the KIRAA hap-lotype in the Han population was the highest among the three ethnic groups in Jilin at 61.19％,significantly higher than that in the Korean population(42.93％).Differences between the three groups were statistically significant(P＜0.05),and remained significant after Bonferroni correction(Pc＜0.05).Conclusion The distribution of KIR genes in the Korean,Manchu and Han population in Jilin reflects the polymorphism of KIR genes in the Chinese population and also showcases unique ethnic genetic and regional characteristics.

Objective To explore the feasibility of radiomics features combined with different machine learning methods based on CT scans to predict lymphovascular and perineural invasion in patient with gastric cancer.Methods A total of 142 patients with gas-tric cancer lymphovascular confirmed by operative pathological examination were retrospectively selected.Among all patients,there were 96 positive cases and 46 negative cases.Among 137 patients with perineural invasion,there were 76 positive cases and 61 nega-tive cases.The 3D-Slicer package was used for delineation,and the Pyradiomics package was used to extract radiomics features.All data were randomly divided into training set and test set in an 8∶2 ratio.Intraclass correlation coefficient(ICC),Pearson correla-tion analysis,least absolute shrinkage and selection operator(LASSO)algorithm were used for feature selection.Support vector machine(SVM),K-nearest neighbor(KNN),decision tree(DT),random forest(RF),extreme tree(ET),extreme gradient boosting(XGBoost),and LightGBM were used to compare the models of lymphovascular and perineural invasion,respectively.Receiver operating characteris-tic(ROC)curve and area under the curve(AUC)were used to evaluate the predictive performance of these models.Results The lymphovascular group AUC of SVM,KNN,DT,RF,ET,XGBoost,and LightGBM in the training set were 0.926,0.753,1.000,0.999,1.000,1.000,and 0.917,and the AUC in the test set were 0.894,0.692,0.456,0.678,0.753,0.650,and 0.650,respectively.The perineural invasion group AUC of SVM,KNN,DT,RF,ET,XGBoost,and LightGBM in the training set were 0.864,0.794,1.000,1.000,1.000,1.000,and 0.866,and the AUC in the test set were 0.861,0.706,0.700,0.672,0.731,0.667,and 0.678,respectively.Conclusion Based on venous phase CT radiomics features combined with machine learning methods,it is feasible to predict lymphovascu-lar and perineural invasion of gastric cancer preoperatively.Among the variousmachine learning methods,SVM shows the best predictive performance for lymphovascular and perineural invasion in patient with gastric cancer.

Objective To investigate the feasibility of using contrast-enhanced T1WI radiomics in predicting the pathological grade in rectal adenocarcinoma.Methods The MRI and pathological data of 127 patients with rectal adenocarcinoma were analyzed retrospectively.ITK-SNAP software was used to manually draw region of interest(ROI)in rectal cancer on axial T,WI enhanced images.The radiomics features were extracted by the Pyradiomics software from ROI.The task was divided into two parts:task 1("high & non-high"group)predicted the high-differentiation and moderate/low-differentiation of the tumor;task 2("moderate & low"group)predicted the tumor's moderate-differentiation and low-differentiation in"non-high"group.Maximum relevance and minimum redundancy(mRMR)method was used to screen features.The five methods including least absolute shrinkage and selection operator(LASSO),logistic regression(LR),naive Bayes(NB),random forest(RF),and support vector machine(SVM)were used to build the models,and the efficiency of each model was evaluated and compared.Results In task 1,the area under the curve(AUC)of five methods were 0.86,0.90,0.59,1.00,0.99 in the training cohort and 0.71,0.62,0.53,0.67,0.64 in the testing cohort.In task 2,the AUC of five methods in the training cohort were 0.93,0.85,0.67,0.92,0.89,and in the testing cohort were 0.86,0.80,0.50,0.78,0.71.The models constructed by LASSO in both tasks were the dominant models,the AUC of the fusion model in the testing cohort which combined with age,gender and the dominant Radiomics score(Radscore)was 0.80[95％confidence interval(CI)0.63-0.96]in task 1,and the accuracy,sensitivity and specificity were 78.94％,77.78％,and 79.31％respectively.They were 0.89(95％CI 0.74-1.00),90.00％,95.65％,and 71.43％,respectively in task 2.The calibration curves showed that the fusion models had a good goodness of fit.Conclusion Based on the establishment of two dichotomous models,the radiomics based on the contrast-enhanced T1 WI is feasible in predicting the high,moderate and low differentiation degree of rectal adenocarcinoma.

Bioluminescence is a widespread phenomenon in nature, and luminescent organisms can be found both on land and in the ocean. Among them, luciferase based bioluminescence systems have been widely studied, inspiring the exploration of genetic and epigenetic aspects and the development of a series of related assays for in vivo and in vitro studies. This paper summarizes the recent developments of luciferase based bioluminescence assays in terms of bioluminescence systems, types of luciferases, and the development and application of luciferase bioluminescence assays.

【Objective】 To study the correlation between platelet transfusion efficacy and KIR receptor-HLA ligand. 【Methods】 Thirty-three leukemia patients with positive HLA antibody were tested for cross-matching with donor platelets. Platelets from suitable donors were selected for transfusion, and the 24-hour platelet corrected count increment (CCI) was used to determine the transfusion effect. KIR and ligand genotyping were performed on blood samples from patients and donors by PCR-SSP method, and the relationship between platelet transfusion effects and KIR receptor-HLA ligand was analyzed. 【Results】 In 74 occasions of platelet transfusion, 42 were ineffective and 32 were effective. When the donor had C2 gene and HLA-B Bw4-80T gene, the frequency of ineffective platelet transfusion in the recipient was 69.0% (29/42) and 52.4% (22/35), respectively, which was significantly higher than that in the effective group [25.0% (8/32) and 25.0% (8/32)]. When the donor had C1 gene, and the frequency of effective platelet transfusion in the recipient was 100.0%(32/32), which was higher than that in the ineffective group [83.3%(35/42)]. When the recipient-donor matching mode was KIR2DL1-C2 and KIR3DL1-(HLA-B Bw4-80T), the frequency of ineffective platelet transfusion was 69.0%(29/42) and 40.5%(22/42),higher than that of the effective group [25% (8/32) and 18.8% (6/32)]. When the recipient-donor matching model was KIR2DL3-C1, the rate of effective platelet transfusion in 32 patients (100.0%), which was higher than that (35 patients 83. 3%) in the ineffective group. When the mismatch mode of recipient iKIR+donor HLA ligand receptor was KIR2DL1-C2, the frequency of effective platelet transfusion in the recipient was 78.1% (25/32), which was much higher than that in the ineffective group [31.0% (13/42)]. When the mismatch mode was KIR3DL1-(HLA-B Bw4-80T), the rate of effective platelet transfusion in the recipient was 68.8% (22/32), which was higher than that in the ineffective group (42.9%, 18/42). The difference between the above groups was statistically significant(P<0.05). 【Conclusion】 HLA-C1 and HLA-C2 genes are the key factors affecting the efficacy of platelet transfusion.For platelet refractorines, HLA-C1 is the protective gene, while HLA-C2 and HLA-B Bw4-80T are the susceptible genes. The recipient iKIR+donor HLA ligand receptor model may play an important role in platelet refractoriness.

Abstract OBJECTIVE To analyze the different therapeutic effects of different formulations of recombinant human growth hormone on idiopathic short stature and the related factors before treatment. METHODS Retrospective analysis was performed on children aged 4-8 years who were diagnosed as idiopathic short stature at the Child Health Department of Sichuan Maternal and Child Health Care Hospital from January 2020 to December 2021 and treated with different formulation of recombinant human growth hormone. The changes of height growth value and growth factor levels of children in different groups during different treatment periods were compared. At the same time, Logistic regression analysis was carried out on the related factors affecting the effect of height growth before treatment. RESULTS There was no significant difference in height, IGF-1 and IGF-BP3 growth between the two groups at each stage of treatment, except for the statistical difference in IGF-BP3 increment at the third month of treatment(P<0.05); The age of treatment had an effect on the height growth outcome of children, and there was statistical significance(OR=0.258, 95%CI 0.109-0.609, P=0.002). The remaining factors had no obvious influence. CONCLUSION There is no difference in the therapeutic effect of different formulation of recombinant human growth hormone on idiopathic short stature. The age of beginning use is the main factor that affects the effect of using growth hormone.

Cultivating comprehensive personnel with competent professional ethics, technical skills and scientific research capabilities is the goal and task of today's laboratory medical education. How to make full use of diversified teaching materials, tools and methods to improve teaching quality is worthy of exploration and thinking in laboratory medical teaching units. In this paper, using mind map as a tool, taking the COVID-19 epidemic as an example, we intend to design a set of multidisciplinary and all-round integrated curriculum of medical laboratory education, and discuss the application status and prospect of integrated curriculum and mind map in medical laboratory education. Through doing this, we aim to optimize the training goals of laboratory medicine education, innovate the teaching methods and boost the training efficiency of laboratory medicine education to keep up with the times.

Objective:To evaluate the feasibility of a predictire model composed of non-specific test indexes in early diagnosis of gastric cancer.Methods:From the database of electronic medical record system of Shanghai Changhai Hospital, a total of 24 615 case records were included from January 1, 2010 to April 30, 2019, including 10 497 cases of gastric cancer, 5 198 cases of precancerous diseases, and 8 920 cases of health examination. Through stratified random sampling, the study population was divided into validation set, training set and test set. After data processing and quality control for all laboratory variables, the optimal machine learning algorithm and diagnostic efficiency grouping were selected through four machine learning algorithms, induding the gradient boosting decision tree, random forest, support vector machine, and artificial neural network, and the data were trained by backward stepwise regression method to build the best feature model.Result:In this study, a diagnostic model V22 consisting of 22 routine testing parameters was established. V22 could distinguish early gastric cancer from control group composed of healthy group and precancerous disease, AUC was 0.808, the sensitivity was 85.7%, and the specificity was 91.9%. For CEA negative gastric cancer, V22 also showed high diagnostic accuracy, AUC was 0.801.Conclusion:V22 was a valuable model for the diagnosis of gastric cancer. V22 was an auxiliary diagnostic model of gastric cancer with clinical application value, which could well distinguish early gastric cancer from the control group composed of healthy group and precancerous disease, and the detection rate of early gastric cancer was better than the traditional tumor marker CEA.