The analysis presented here is based on the blood components of Guanxin Qiwei tablets, the key anti-atherosclerosis pathway of Guanxin Qiwei tablets was screened by network pharmacology, and the anti-atherosclerosis mechanism of Guanxin Qiwei tablets was clarified and verified by cell experiments. HPLC-Q-Exactive-MS/MS technique was used to analyze the components of Guanxin Qiwei tablets into blood, to determine the precise mass charge ratio of the compounds, and to conduct a comprehensive analysis of the components by using secondary mass spectrometry fragments and literature comparison. Finally, a total of 42 components of Guanxin Qiwei tablets into blood were identified. To better understand the interactions, we employed the Swiss Target Prediction database to predict the associated targets. Atherosclerosis (AS) disease targets were searched in disease databases Genecard, OMIM and Disgent, and 181 intersection targets of disease targets and component targets were obtained by Venny 2.1.0 software. Protein interactions were analyzed by String database. The 32 core targets were selected by Cytscape software. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed in DAVID database. It was found that the anti-atherosclerosis pathways of Guanxin Qiwei tablets mainly include lipid metabolism and atherosclerosis and AGE-RAGE signaling pathway in diabetic complications and other signal pathways. The core targets and the core compounds were interlinked, and it was found that cryptotanshinone and tanshinone ⅡA in Guanxin Qiwei tablets were well bound to TNF, PPARγ, AKT1, PTG2 and other targets. The lipid metabolism and atherosclerotic pathway was verified using human hl-7702 hepatocytes. This study preliminarily identified the potential pharmacodynamic components of Guanxin Qiwei tablets in the treatment of AS diseases and predicted their pathways of action, and verified the relationship between regulating lipid metabolism and atherosclerosis of Guanxin Qiwei tablets in vitro, providing a reference for the further study of the pharmacodynamic material basis and mechanism of action of this prescription. This experiment was approved by the Medical Ethics Committee of Inner Mongolia Medical University (No. YKD202401262).

Objective:To analyze the risk factors for asparaginase-associated pancreatitis (AAP) in children with acute lymphoblastic leukemia (ALL) after treatment with pegaspargase and evaluate the predictive value of pediatric sequential organ failure assessment (SOFA) score, pediatric acute pancreatitis severity (PAPS) score, Ranson′s score and pediatric Ministry of Health, Labour and Welfare of Japan (JPN) score for severe AAP.Methods:Cross-sectional study.The clinical data of 328 children with ALL who received pegaspargase treatment in the Department of Pediatric Hematology, Zhujiang Hospital, Southern Medical University from January 2014 to August 2021, as well as their clinical manifestations, laboratory examinations, and imaging examinations were collected.The SOFA score at the time of AAP diagnosis, PAPS score and Ranson′s score at 48 hours after AAP diagnosis, and JPN score at 72 hours after AAP diagnosis were calculated, and their predictive value for severe AAP was evaluated by the receiver operating characteristic (ROC) curve.Results:A total of 6.7%(22/328) of children had AAP, with the median age of 6.62 years.AAP most commonly occurred in the induced remission phase (16/22, 72.7%). Three AAP children were re-exposed to asparaginase, and 2 of them developed a second AAP.Among the 22 AAP children, 16 presented with mild symptoms, and 6 with severe symptoms.The 6 children with severe AAP were all transferred to the Pediatric Intensive Care Unit (PICU). There were no significant differences in gender, white blood cell count at first diagnosis, immunophenotype, risk stratification, and single dose of pegaspargase between the AAP and non-AAP groups.The age at diagnosis of ALL in the AAP group was significantly higher than that in the non-AAP group ( t=2.385, P=0.018). The number of overweight or obese children in the AAP group was also higher than that in the non-AAP group ( χ2=4.507, P=0.034). The areas under the ROC curve of children′s JPN score, SOFA score, Ranson′s score, and PAPS score in predicting severe AAP were 0.919, 0.844, 0.731, and 0.606, respectively.The JPN score ( t=4.174, P=0.001) and the SOFA score ( t=3.181, P=0.005) showed statistically significant differences between mild and severe AAP. Conclusions:AAP is a serious complication in the treatment of ALL with combined pegaspargase and chemotherapy.Older age and overweight or obesity may be the risk factors for AAP.Pediatric JPN and SOFA scores have predictive value for severe AAP.

BACKGROUND:Increasing evidence suggests that N6-methyladenosine(m6A)regulators are closely associated with osteoarthritis and are considered to be a new direction in the prevention and treatment of osteoarthritis,but their specific mechanism of action is unknown. OBJECTIVE:To conduct a bioinformatics analysis of the osteoarthritis gene microarray dataset in order to explore the role of m6A in osteoarthritis and analyze the pathogenesis of osteoarthritis. METHODS:The m6A regulators associated with osteoarthritis and their expression were first extracted from the GSE1919 dataset in the GEO database using R software,and then the results were analyzed by gene difference analysis and GO and KEGG enrichment analyses.Subsequently,the results of protein-protein interaction network topology analysis and machine learning results were intersected to obtain the m6A Hub regulators,which were validated by in vitro cellular experiments. RESULTS AND CONCLUSION:A total of 16 osteoarthritis-related m6A regulators were extracted and 11 m6A differential regulators,including ZC3H13,YTHDC1,YTHDF3 and HNRNPC,were obtained by differential analysis.GO enrichment analysis showed that osteoarthritis-related m6A differential regulators played a role in the biological processes such as mRNA transport,RNA catabolism,and regulation of insulin-like growth factor receptor signaling pathway.(3)KEGG enrichment analysis showed that the differential regulators were mainly involved in the p53,interleukin-17 and AMPK signaling pathways.The combined protein-protein interaction network topology analysis and machine learning results obtained the m6A Hub regulator-YTHDC1.(5)The results of in vitro cellular experiments showed that there was a significant difference in the expression of m6A key regulator between the control and experimental groups(P<0.05).To conclude,YTHDC1 is closely related to the development of osteoarthritis,which is expected to be a molecular target of m6A for the treatment of osteoarthritis.

BACKGROUND:Cellular senescence is closely related to the development and progression of osteoarthritis,but the specific targets and regulatory mechanisms are not yet clear. OBJECTIVE:To mine key genes in cellular senescence-mediated osteoarthritis by integrating bioinformatics and machine learning approaches and validate them via experiments to explore the role of cellular senescence in osteoarthritis. METHODS:The osteoarthritis gene expression profiles obtained from the GEO database were intersected with cellular senescence-related genes obtained from the CellAge database and the expression of the intersected genes was extracted for differential analysis,followed by GO and KEGG analysis of the differential genes.The key osteoarthritis cellular senescence genes were then screened by protein-protein interaction network analysis and machine learning,and in vitro cellular experiments were performed.Finally,the expression of the key genes was detected by qPCR. RESULTS AND CONCLUSION:A total of 31 osteoarthritis cell senescence differential genes were identified.GO analysis showed that these genes were mainly involved in the biological processes,such as regulation of leukocyte differentiation,monocyte differentiation,regulation of T cell differentiation and exerted roles in DNA transcription factor binding,histone deacetylase binding,chromatin DNA binding,and chemokine binding.KEGG analysis showed that osteoarthritis cell senescence differential genes were mainly activated in the JAK/STAT signaling pathway,PI3K/Akt signaling pathway and FoxO signaling pathway.MYC,a key gene for osteoarthritis cellular senescence,was identified by protein-protein interaction network topology analysis and machine learning methods.The results of the in vitro cellular assay showed that the mRNA expression of MYC was significantly lower in the experimental group(osteoarthritis group)than the control group(normal group)(P＜0.05).To conclude,MYC can be a key gene in the senescence of osteoarthritic cells and may be a new target in the prevention and treatment of osteoarthritis by mediating immune response,inflammatory response and transcriptional regulation.

Objective To compare the accuracy of the original-mirror alignment algorithm and a landmark-indepen-dent method in constructing the midsagittal plane(MSP)of the cone beam computed tomography in patients with facial deformities,so as to provide a theoretical basis for symmetric analysis.Methods The study was approved by the hospi-tal ethics committee.Cone beam computed tomography data of 30 patients with facial deformities were obtained,and the output was saved in DICOM format.The scan data were imported into Mimics 21.0;after segmentation,three-dimension-al(3D)skull models were reconstructed.Furthermore,the 3D scan data of skulls were transformed into mirror skull models using Geomagic Studio 2014 reverse engineering software.The MSP of each skull was generated using both the original-mirror alignment algorithm and the landmark-independent method.Original-mirror alignment algorithm:the original skull model and its mirror model were combined,and the new data to calculate the MSP(S1)of the original data in Geomagic Studio 2014 were obtained.Landmark-independent method:the following anatomical landmarks were deter-mined using Mimics 21.0:nasion(N),crista galli(CG),sella(S),basion(Ba),vomer(V),posterior nasal spine(PNS),in-cisive foramen(IF),and anterior nasal spine(ANS).The MSP(S2)of best fit was then found by minimizing the mean square distance of these eight anatomical landmarks to a plane in Geomagic Studio 2014.The results of the S1 and S2 models constructed using the original-mirror alignment algorithm and the landmark-independent method,respectively,were scored subjectively by five senior maxillofacial surgeons,and a paired t-test was performed for the two groups.The internal consistency analysis was performed based on secondary experiments to verify the repeatability of the expert evaluation method.Results The average scores of the S1 and S2 models were 65.73 and 75.90,respectively.The aver-age score of the model constructed using the landmark-independent method was significantly higher than that of the model constructed using the original-mirror alignment algorithm(P＜0.01).Furthermore,the results of the internal con-sistency analysis showed that the expert evaluation method had good reliability and validity.Conclusion In patients with facial deformities,the MSP constructed using the landmark-independent method is superior to that constructed us-ing the original-mirror alignment algorithm.This study provides a theoretical basis for maxillofacial symmetry analysis in clinical settings and is clinically feasible.

Objective To observe the correlations of pontine biological indicators on fetal brain median sagittal MRI with gestational week.Methods Data of head MRI of 226 normal fetuses without obvious abnormalities of central nervous system(normal group)and 17 fetuses with abnormalities(abnormal group)at gestational age of 23 to 38 weeks were retrospectively analyzed.Pontine biological indicators based on median sagittal MRI were obtained,including pons anteroposterior diameter(PAD),total pons area(TPA),pontine basal anteroposterior length(AP),pontine basal cranio-caudal length(CC),basis pontis area(BPA)and pontine angle of midbrain(MAP).According to the gestational week,the fetuses of normal group were divided into 8 subgroups.The distributing ranges of pontine biological indicators at different gestational weeks were analyzed,and the correlations of pontine biological indicators with gestational week in normal group were explored,and the developmental status of fetal pons in abnormal group were assessed.Results In normal group,PAD,TPA,AP,CC and BPA all showed linear positive correlation(r=0.887,0.914,0.787,0.866,0.865,all P＜0.001),while MAP was not significantly correlated with gestational week(P＞0.05).Among 17 fetuses in abnormal group,abnormal PAD or TPA was found each in 8 fetuses,abnormal AP was observed in 14,abnormal CC was noticed in 3 and abnormal BPA was found in 11 fetuses.Conclusion Fetal pontine biological indicators such as PAD,TPA,AP,CC and BPA on median sagittal MRI were positively correlated with gestational week,hence being able to be used for evaluating fetal pontine development.

Objective To explore the genetic characteristics of fetuses with congenital heart diseases(CHD)diagnosed by prenatal ultrasound.Methods Data of 613 singletons with prenatal ultrasonic diagnosed CHD were retrospectively analyzed.The cardiac structural abnormalities were classified into 8 types.Whole-exome sequencing(WES)was performed for 40 fetuses since chromosomal karyotyping analysis and/or chromosomal microarray analysis(CMA)showed benign copy number variations(CNV)or variants of uncertain significance(VUS).Results Among 613 fetuses,479 fetuses underwent both chromosomal karyotyping analysis and CMA,genomic abnormalities were detected in 60 fetuses(60/479,12.53％).Among 134 fetuses underwent only CMA,genomic abnormalities were found in 4 fetuses(4/134,2.99％).According to results of chromosomal karyotyping analysis and/or CMA,abnormalities were noticed in 40 fetuses(40/568,7.04％)among 568 fetuses with isolated CHD,while in 15 fetuses(15/45,33.33％)among 45 fetuses with non-isolated CHD,respectively.Abnormality detection rate of chromosomal karyotyping analysis and/or CMA in fetuses with complex CHD(10/41,24.39％)was higher than that in fetuses with non-complex CHD(54/572,9.44％).Among complex CHD fetuses,abnormality detection rate was the highest in fetuses with conotruncal defect(CTD)combined with malformation of venous system(4/13,30.77％),while among fetuses with non-complex CHD,situs inversus viscerum had the highest detection rate(1/4,25.00％).Among 40 fetuses chromosomal karyotyping analysis and/or CMA showed benign CNV or VUS,WES indicated pathogenic CNV/likely pathogenic CNV(P/LP)in 3 fetuses,VUS in 3 fetuses and benign CNV in 34 fetuses.Conclusion Fetuses with CHD,especially extracardiac malformations had possibilities of genomic abnormalities.Fetuses with CTD combined with malformation of venous system had higher possibilities of genomic abnormalities.Compared with CMA alone,chromosomal karyotyping analysis combined with CMA was helpful for detecting genomic abnormalities.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

ObjectiveTo investigate the effect of mucin 1 (MUC1) on the proliferation and apoptosis of nasopharyngeal carcinoma (NPC) and its regulatory mechanism. MethodsThe 60 NPC and paired para-cancer normal tissues were collected from October 2020 to July 2021 in Quanzhou First Hospital. The expression of MUC1 was measured by real-time quantitative PCR (qPCR) in the patients with PNC. The 5-8F and HNE1 cells were transfected with siRNA control (si-control) or siRNA targeting MUC1 (si-MUC1). Cell proliferation was analyzed by cell counting kit-8 and colony formation assay, and apoptosis was analyzed by flow cytometry analysis in the 5-8F and HNE1 cells. The qPCR and ELISA were executed to analyze the levels of TNF-α and IL-6. Western blot was performed to measure the expression of MUC1, NF-кB and apoptosis-related proteins (Bax and Bcl-2). ResultsThe expression of MUC1 was up-regulated in the NPC tissues, and NPC patients with the high MUC1 expression were inclined to EBV infection, growth and metastasis of NPC. Loss of MUC1 restrained malignant features, including the proliferation and apoptosis, downregulated the expression of p-IкB、p-P65 and Bcl-2 and upregulated the expression of Bax in the NPC cells. ConclusionDownregulation of MUC1 restrained biological characteristics of malignancy, including cell proliferation and apoptosis, by inactivating NF-κB signaling pathway in NPC.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.