[Objective] To perform genetic analysis on samples with weak agglutination and mixed agglutination of ABO blood group antigens in neonates, and to investigate the molecular biological characteristics of ABO subtypes in neonates. [Methods] Serological identification of ABO blood group was performed by tube method and microcolumn gel method. The ABO exons 2-7 were amplified by PCR, and the amplified products were sequenced by Sanger sequencing method to determine the genotype. [Results] Among the ABO blood group serological results of 14 neonates, 8 cases showed weakened A antigen, and 6 cases showed weakened B antigen. Seven samples were identified with ABO subtype alleles, with genotypes as A102/B101+c.538C>T, Aw26/B102, A205/O02, A205/B101(2 cases), Aw26/O02, B(A)06/O01, B101/O01(3 cases), A102/O01(2 cases), A102/B101 and B101/O02. Additionally, three other family members were also found to carry B(A)06 allele in a pedigree investigation. [Conclusion] For samples showing weakened antigens in ABO blood type identification of neonates, it is necessary to consider the possibility of ABO subtype in addition to age factors, and genetic testing can be used to prevent missed detection of ABO subtypes in neonates.

Objective: To explore the positive rate and distribution characteristics of unexpected antibodies in hospitalized children. Methods: A total of 22 336 hospitalized pediatric patients admitted to Henan Children's Hospital from August 2018 to September 2022 were selected as the research subjects, and their relevant clinical data were collected. Blood samples of the patients were subjected to blood type identification and unexpected antibody screening. For samples with positive screening results, further antibody specificity identification was conducted using panel cells. The distribution patterns of unexpected antibodies across different genders, age groups, blood types, and disease categories were analyzed, and inter-group differences were compared. Results: Of the 22 336 patients, 286 (1.3%) tested positive for unexpected antibodies. The most frequently identified specificities belonged to the MNS blood group system (45.1%, 129/286), followed by the Rh system (24.5%, 70/286) and antibodies of undetermined specificity (24.5%, 70/286). Less common specificities included those from the P blood group system (2.4%, 7/286), Lewis blood group system (1.4%, 4/286), mixed antibodies from multiple systems (0.9%, 3/286), drug-induced antibodies (0.7%, 2/286), and LW blood group system (0.3%, 1/286). Within the MNS blood group system, anti-M was the most prevalent (129 cases). In the Rh blood group system, anti-E (30 cases, 10.5%) and anti-D (28 cases, 9.8%) were the main antibodies detected; other antibodies included anti-DE (4 cases, 1.4%), anti-DC (3 cases, 1.0%), anti-Ec (3 cases, 1.0%), and anti-c (2 cases, 0.7%). Only anti-P was identified in the P blood group system (7 cases), while anti-Lea was found in the Lewis blood group system (4 cases) and anti-LW in the LW blood group system (1 case). Mixed antibodies from multiple systems consisted of anti-D+Fy , anti-e+Fy , and anti-Le +P , with 1 case (0.3%) each. Among the antibodies with undefined specificity, 26 cases were autoantibodies. All drug-induced antibodies were anti-CD38 (2 cases). The distribution of unexpected antibodies showed statistically significant differences among different genders, ages, and ABO blood types (P<0.05). Regarding age distribution, Rh blood group antibodies associated with hemolytic disease of the fetus and newborn (HDFN) were predominant in the 0-1 month group, which differed significantly from all other age groups (P<0.001). In contrast, anti-M was predominant in children over 1 year of age (89.0%), while anti-E was detected in only 3 cases (10.0%) in children over 3 years old. After Bonferroni correction (α' = 0.003 3), a statistically significant difference was observed only between the 6-17 year group and the 1-3 year group (P=0.003). Among ABO blood types, type B had the highest antibody detection rate. Following Bonferroni correction (α' ≈ 0.008 3), a significant difference in detection rates was found solely between type B and type O blood (P=0.005), with no statistically significant differences among other blood types (P>0.008 3). Conclusion: In hospitalized pediatric patients, unexpected antibodies were mainly distributed in the MNS and Rh blood group systems, with anti-M being the most commonly detected specificity and anti-E the most prevalent within the Rh system.. Sex, age and blood type significantly influence the development of unexpected antibodies. Clinically, it is necessary to pay attention to the prenatal monitoring of unexpected antibodies in pregnant women, so as to achieve homotypic transfusion of other Rh antigens as early as possible.

Objective To investigate the application value of dual-layer spectral computed tomography(DLCT)45 keV single energy image in follow up after transcatheter arterial chemoembolization(TACE)for hepatocellular carcinoma(HCC).Methods The DLCT images of 60 patients with HCC after TACE treatment were analyzed retrospectively.The CT value and standard deviation(SD)value of the lesion region of interest(ROI)and surrounding normal liver parenchyma on two kinds of images with 45 keV energy spectrum CT and 120 kVp conventional CT were measured respectively,then the contrast-to-noise ratio(CNR)between the lesions and surrounding normal liver parenchyma was calculated,and their differences were compared.The image quality of the two kinds of images was scored subjectively with the 3-point method,and the patients were divided into different groups according to the enhance-ment degree and tumor staining.The receiver operating characteristic(ROC)curve was also drawn.Results(1)There was no signif-icant difference in CNR between arterial phase,portal phase,and delayed phase of 120 kVp conventional CT(Hc=1.128,P>0.05).The CNR of 45 keV energy spectrum CT was higher than that of 120 kVp conventional CT,with a statistically significant difference(Z=5.060,P<0.05).(2)The subjective score of 45 keV energy spectrum CT was higher than that of 120 kVp conventional CT,and the difference was statistically significant(Z=5.335,P<0.05).ROC curve analysis showed that 45 keV energy spectrum CT had a larger area under the curve(AUC)than 120 kVp conventional CT,and the difference was statistically significant(Z=4.136,P<0.001).Conclusion 45 keV energy spectrum CT image can significantly improve the CNR between tumor and normal liver parenchyma,and it has the better image quality and higher diagnostic efficiency.

To investigate the effects of Pithecellobium clypearia extract on the tissue structure,in-flammatory lesions as well as microbial diversity in the intestinal of yellow-feathered broilers.2401-day-old yellow-feathered broilers were randomly divided into four groups(groups A,B,C and D),groups A,B and C were supplemented with Pithecellobium clypearia extract in basal diets with concentrations of 0.5,1.0 and 2.0 g/kg,respectively.Group D served as the control group without adding Pithecellobium clypearia extract in diets,and the full trial period lasted for 70 d.Duodenum and jejunum samples were collected on the 20th,40th and 70th days of the test,the vil-lous/crypt ratio of duodenum and jejunum were calculated,and the mRNA expression level of in-flammatory cytokine as well as related pathways were detected in each group,respectively.In addition,the contents of cecum were collected at 70 th day of the experiment and the microbial di-versity in cecum were also analysed by 16S rDNA sequencing.The results showed that adding 0.5 and 1.0 g/kg of Pithecellobium clypearia extract in the diet could significantly increase the veloci-ty height/crypt depth ratio of duodenum and jejunum(P＜0.05)compared to control group,as well as the mRNA expression level of tight junction protein(CLDN1 and CLDN5)in jejunum,which further improved the structure of mucous of intestinal.Pithecellobium clypearia extract could significantly(P＜0.05)decrease the mRNA expression level of inflammatory cytokine inclu-ding IL-1β,IL-8 and TNF-α,as well as the related pathway genes such as TLR4,MyD88 and NF-κB in jejunum,thus reduced the inflammatory lesions in intestinal.Pithecellobium clypearia ex-tract also could significantly increase the abundance of beneficial microbial such as Parabacteroide and Prevotellaceae,while significantly decrease the abundance of pathogenic microbial such as Proteobacteria in cecum(P＜0.05)and improve the microbial diversity in intestinal.In summary,Pithecellobium clypearia extract could improve the structure of intestinal tissue and the gut barri-er function,as well as the microbial diversity in cecum,and also decrease the inflammatory lesions in jejunum,which is helpful to the intestinal health for yellow-feathered broilers.The present study provides scientific basis for the development of Pithecellobium clypearia as a safe feed additive in the future.

This study introduced a time-delay exposure system independent of the mobile digital radiography equipment. The system consisted of lithium battery, delay control circuit, micro electric motor and related auxiliary facilities. When the starting time was reached through the delay circuit, the motor pushed out the rod to squeeze the exposure button and completed the exposure. The accessories used in this system were easy to purchase and cheap. At the same time, the technology was mature and had good compatibility. The exposure success rate was high and the exposure effect was satisfactory. This time-delay exposure system had good practicability and popularization value.
Radiographic Image Enhancement ; Technology ; Electric Power Supplies

Objective:To investigate the clinical value of radiomics based on computed tomography (CT) examination in preoperative differential diagnosis of pancreatic serous cystadenoma (SCA) and mucinous cystadenoma (MCA).Methods:The retrospective case-control study was conducted. The clinicopathological and imaging data of 154 patients with pancreatic cystic neoplasms who were admitted to the First Affiliated Hospital, Zhejiang University School of Medicine from January 2012 to December 2019 were collected. There were 24 males and 130 females, aged (50±13)years. Of the 154 patients, 99 cases were diagnosed as SCA and 55 cases were diagnosed as MCA. All the 154 patients underwent plain and enhanced CT scan of pancreas before operation. The clinical characteristics, radiology features and radiomics features of all patients were collected to construct the clinical characteristics model, radiology model, radiomics model and fused model. The receiver operating characteristic (ROC) curve of each model was drawn, and those constructed models were evaluated by area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value and negative predictive value. Based on the optimal model, the nomogram was constructed. Observation indicators: (1) establishment and validation of clinical characteristics model; (2) establishment and validation of radiology model; (3) establishment and validation of radiomics model; (4) establishment and validation of fused model; (5) nomogram of fused model. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. Results:(1) Establishment and validation of clinical characteristics model: 3 clinical characteristics, including age, symptoms and preoperative serum CA19-9, were selected using multinomial logistic linear regression analysis to construct the clinical characteristics model. Result of the multinomial logistic linear regression analysis was expressed by formula ①: clinical characteristics model score=0.635-0.007×age+0.054×clinical symptoms+0.108×preoperative serum CA19-9. The ROC curve for the test dataset of clinical characteristics model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of clinical characteristics model were 0.611(95% confidence interval as 0.488?0.734, P<0.05), 56.6%, 66.7%, 56.3%, 41.5%, 78.4% for the training dataset and 0.771(95% confidence interval as 0.624?0.919, P<0.05), 77.8%, 63.1%, 88.5%, 80.1%, 76.7% for the test dataset, respectively. (2) Establishment and validation of radiology model: 5 radiology characteristics, including tumor location, the number of tumors, tumor diameter of cross section, lobulated tumor and polycystic tumor (more than 6), were selected using multinomial logistic linear regression analysis to construct the radiology model. Result of the multinomial logistic linear regression analysis was expressed by formula ②: radiology model score=?0.034+0.300×tumor location+0.202×the number of tumors+0.014×tumor diameter of cross section?0.251×lobulated tumor?0.170×polycystic tumor (more than 6). The ROC curve for the test dataset of radiology model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of radiology model were 0.862(95% confidence interval as 0.791?0.932, P<0.05), 78.8%, 81.8%, 77.5%, 62.8%, 90.2% for the training dataset and 0.853(95% confidence interval as 0.713?0.994), P<0.05), 88.9%, 89.4%, 88.5%, 85.0%, 92.0% for the test dataset, respectively. (3) Establishment and validation of radiomics model: 4 categories of a total 1 067 radiomics features were extracted from 154 patients with pancreatic cystic neoplasms, including 7 first-order histogram features, 53 texture features, 848 wavelet features and 159 local binary pattern features. A total of 896 stable radiomics features were retained to construct the model, based on the condition of intraclass correlation coefficient >0.9. After selected by variance threshold and correlation coefficient threshold, 350 radiomics features were retained. Fifty synthetic radiomics features were constructed based on the original features in order to obtain potential radiomics features, and the total number of radiomics features was 400. After analyzed by the five-fold recursive feature elimination, 22 radiomics features were screened out, including 13 wavelet features, 7 synthetic radiomics features and 2 local binary pattern features. The support vector machine algorithm was used to construct the radiomics model. The penalty coefficient 'C' and parameter 'γ' of the radiomics model were 35.938 and 0.077, respectively. The kernel function of the radiomics model was 'radial basis function kernel'. The ROC curve of radiomics model using 5-fold cross validation was drawn. The average AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of the radiomics model were 0.870 ( P<0.05), 83.1%, 81.8%, 83.8%, 73.8% and 89.2%, respectively. (4) Establishment and validation of fused model: the fused model was constructed after selecting the tumor location and lobulated tumor of radiology characteristics and radiomics score. Result of the multinomial logistic linear regression analysis was expressed by formula ③: fused model socre=?0.154+0.218×tumor location?0.223×lobulated tumor+0.621×radiomics score. The ROC curve for the test dataset of fused model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of fused model were 0.893(95% confidence interval as 0.828?0.958, P<0.05), 83.7%, 81.8%, 84.5%, 71.1%, 90.9% for the training dataset and 0.966(95% confidence interval as 0.921?0.999, P<0.05), 91.1%, 84.2%, 96.2%, 94.1%, 89.3% for the test dataset, respectively. (5) Nomogram of fused model: the nomogram of fused model was illustrated with the Youden index of 0.416. Conclusion:The prediction model based on the radiomics signature and radiological features extracted from preoperative CT examination can make the differential diagnosis of pancreatic SCA from MCA.

Low back pain is becoming an important factor that affects people's quality of life today, and the social losses caused by lowback pain are hugeevery year. Lumbar disc herniation (LDH) is one of the main diseases that cause low back pain. The mechanism of lumbar disc herniation in the biomedical science is still controversial. Inflammatory factor is a cytokine secreted by tissue cells and involved in mediating the inflammatory response. Studies have shown that some factors stimulated by the extrusive nucleus pulposus, like inflammatory factors, degeneration-related genes and downstream expression products, can cause the degeneration of intervertebral disc. IL-1, IL-6, TNF-α, MMPs, and TGF-β have become the hot topicin disc degeneration. Signaling pathway is the main pathway for inflammatory factors to participate in the regulation of various biochemical reactions in cells. The inflammatory factors interact with different proteins to activate or inhibit different pathways, thereby achieving regulation of the cell cycle, regulates gene expression, induces immune inflammatory response, and apoptosis. Research on the role of various inflammatory factors in the body and related molecular signaling pathways will help us understand the mechanism of LDH. Most of the experimental studies only focus on the influence of a certain cytokine or single pathway on intervertebral disc degeneration, but different inflammatory factors and their signaling pathways often crosstalk with each other through special channels, forming a complex and precise signal transduction regulation network jointly regulates various physiological or pathological processes in the body, and the occurrence of disease is often accompanied by multiple factors. Studying the effect of a single signal network on the disease cannot fully explain the cause of the disease and related clinical manifestations. Therefore, clarifying the role of various inflammatory factors in IDD and exploring and analyzing the ways in which each factor regulates each other will provide ideas for understanding the mechanism of lumbar degeneration and exploring new methods for preventing and treating LDH in the future.

Objective:Resorption can occur after lumbar disc herniation, and Thymic stromal lymphopoietin (TSLP) is considered to be a key factor mediating reabsorption. Studies have found that under the action of inflammatory factors like TNF-α, IL-6, etc,the expression of TSLP in intervertebral disc tissue was increased, and then mononuclear macrophage chemokine-1 (MCP-1) was induced to induce infiltration of macrophage to promote reabsorption. To determine the mechanism, we design the experiment to explore the mechanism of IL-6-mediated JAK/STAT pathway and TGF-β/Smad pathway to promote the reabsorption of intervertebral disc by regulating the expression of TSLP.Methods:Rat bone marrow mesenchymal stem cells (MSC) and rat nucleus pulposus cells (NPC) were cultured in vitro, treating the cells withrat IL-6 recombinant protein, STAT3inhibitor and Smad2/3 inhibitorrespectively, and use real-time quantitative PCR (qRT-PCR) technology to detect the expression of JAK1, STAT3, Smad2, TSLP mRNA under different conditions; Western blot to detect the expression of TSLP, Smad2 and phosphate STAT3 protein; using enzyme-linked immunosorbent assay (Elisa) to detect the expression of TGF-β in two rat cells under the treatment of IL-6.Results:After stimulation ofIL-6 (10 ng/ml or 100 ng/ml) the expression of JAK1in MSC (10 ng/ml: 5.13±1.21; 100 ng/ml: 5.23±0.35; control group: 0.97±0.03), STAT3 (10 ng/ml: 6.50±0.38; 100 ng/ml: 6.74±0.61; control group: 0.87±0.19) was significantly increased, and TSLP also showed high expression in MSC (10 ng/ml: 4.26±0.38; 100 ng/ml: 5.05±0.46; control group: 1.04±0.04).The expression of STAT3 (10 ng/ml: 2.91±0.08; control group: 1.12±0.11), TSLP (10 ng/ml: 7.32±0.37; control group: 1.03±0.03) in NPC also increased. After stimulation of IL-6, the expression of Smad2 increasing in MSC was observed (10 ng/ml: 15.92±0.62; 100 ng/ml: 20.28±0.58; control group: 0.96±0.08), and increased expression of Smad2 in NPC (10 ng/ml: 5.01±0.17; control group: 0.96±0.03). The expression of TSLP in MSC decreased after adding STAT3 inhibitor (BP group, BP group: 0.17±0.01; control group: 0.90±0.09), the expression of TSLP also decreased in NPC (BP group: 0.42±0.11; control group: 0.90±0.11). After adding Smad2/3 inhibitor (SB group), the expression of TSLP in MSC decreased (SB group: 0.33±0.01; control group: 1.02±0.02), and the expression of TSLP in NPC also decreased (SB group: 0.40±0.04; control group: 0.99±0.01).Conclusion:IL-6 up-regulates TSLP expression via the JAK1/STAT3 signaling pathway and promotes prominent intervertebral disc reabsorption. At the same time, IL-6 can activate the TGF-β/Smad2/3 pathway and up-regulate the expression of TSLP, which play a synergistic role in the reabsorption process.

OBJECTIVE: To identify the main active components in Ⅲ and their targets and explore the mechanism by which Ⅲ alleviates proteinuria in chronic kidney disease (CKD) based on network pharmacology. METHODS: The active components of Ⅲ and their potential targets, along with the oral bioavailability and drug-like properties of each component were searched in the TCMSP database. The proteinuria-related targets were searched in the GeneCards database. The active component-target network was constructed using Cytoscape software, and the acquired information of the targets from ClueGO was used for enrichment analysis of the gene pathways. RESULTS: A total of 102 active components were identified from Ⅲ. These active components acted on 126 targets, among which 69 were related to proteinuria. Enrichment analysis revealed fluid shear stress- and atherosclerosisrelated pathways as the highly significant pathways in proteinuria associated with CKD. CONCLUSIONS We preliminarily validated the prescription of Ⅲ and obtained scientific evidence that supported its use for treatment of proteinuria in CKD. The findings in this study provide a theoretical basis for further study of the mechanism of Ⅲ in the treatment of proteinuria in CKD.
Biological Availability ; Drugs, Chinese Herbal ; chemistry ; pharmacokinetics ; therapeutic use ; Humans ; Proteinuria ; drug therapy ; etiology ; metabolism ; Renal Insufficiency, Chronic ; complications ; metabolism

Objective To investigate the relationship between serum uric acid level and renal function decline by retrospective cohort study.Methods Through the physical examination system of the First People's Hospital of Foshan,the physical examination data from 2015 to 2018 of a public institution in Foshan city were obtained.The gender,age,blood cell analysis,liver function,serum creatinine,uric acid,fasting blood glucose were obtained.The change of eGFR (△eGFR=eGFR2018-eGFR2015) was analyzed.Results A total of 2505 subjects were followed up for four years.The subjects were divided into △eGFR ≥0 group and △eGFR ＜ 0 group.There were 845 subjects in △eGFR ≥0 group,and 1660 subjects in △eGFR ＜ 0 group.Compared with that in △eGFR ＜ 0 group,the base-level of uric acid in △eGFR ≥ 0 group was higher [(349.48±87.62) μmol/L vs (325.72±82.58) μmol/L,t=6.669,P ＜ 0.001],but the rate of uric acid decline was greater [-15.00(-53.50,17.00) μmol/L vs 15.50(-18.00,49.00) μmol/L,Z=-13.470,P ＜ 0.001].According to the levels of uric acid in 2015 and 2018,then the subjects were divided into four groups,normal to normal group (N-N,1551 cases),normal change into high uric acid group (N-H,299 cases),high uric acid drop to normal group (H-N,238 cases),and high to high uric acid group (H-H,417 cases).The △eGFR was-1.58(-4.17,1.01) ml · min-1 · (1.73 m2) 1 in N-N group,and-3.60(-7.24,-0.98) ml · min-1 · (1.73 m2)-1 in N-H group,-0.20(-3.14,3.27) ml· min-1· (1.73 m2)-1 in H-N group,-0.96(-4.07,1.93) ml· min-1· (1.73 m2)-1 in H-H group,respectively.The △eGFR decreased most significantly in N-H group than the other three groups (x2=103.130,P ＜ 0.001).Multivariate logistic regression analysis showed that elevated uric acid was an independent risk factor for eGFR decline (OR=1.739,95％CI 1.587-1.906,P ＜ 0.001),while elevated indirect bilirubin (OR=0.968,95％CI 0.943-0.993,P=0.013),elevated red blood cells (OR=0.815,95％ CI 0.680-0.976,P=0.026) were independent protective factors for eGFR decline.Conclusion Elevated uric acid is an independent risk factor for the decline of renal function.Good control of hyperuricemia is beneficial to the protection of renal function.