ObjectiveThis study aims to explore the potential of different orders of magnitude single-nucleotide polymorphism (SNP) locus combinations for predicting distant kinship relationships. A high-density SNP locus set was constructed, and a comprehensive assessment of its inference capability was conducted. MethodsFirstly, we selected three commercial chip panels, CGA (Chinese genotyping array, Illumina), GSA (Global screening array, Illumina), Affy (23MF_V2 high-density SNP array, Affymetrix) and merged them after quality control, forming a high-density SNP locus panel(1 180 k). Secondly, we selected 161 samples and collected their peripheral blood samples by using whole-genome sequencing technology. Within this sample population, the levels of kinship relationships fully covered the range from level 1 to level 9, and the number of kinship pairs at each level was consistently maintained at over 50 pairs. From 161 samples data of whole-genome sequencing, the 1 180 k locus set was extracted, which is referred to as the high-density SNP locus set in the following text. The kinship inference was conducted using the identity-by-descent (IBD) algorithm with the selected optimal parameters. To comprehensively evaluate the performance of the high-density SNP locus set in kinship inference, we compared it with the three commercial chip panels, the intersection of these three chip loci, and the control sets constructed by randomly reducing the number of the high-density SNP locus set. Based on the changes in the IBD lengths, as well as the dynamic trends in prediction accuracy, we conducted a scientific assessment of the kinship inference capability of the high-density SNP locus set. ResultsAfter screening, a set of 1 184 334 autosomal SNPs was obtained. During the process of screening the optimal IBD length threshold, the result revealed that 0 cM, 1 cM, and 2 cM all demonstrated good applicability. However, to avoid the issue of a large amount of redundant information caused by setting a too low IBD length threshold, this study ultimately selected 2 cM as the optimal threshold. Compared with the average results of three chip panels, the high-density SNP locus set increased the total IBD length and the average IBD length across levels 1-9; the accuracy of the confidence interval for level 8 was 70.97%, which represented a 3.50% improvement; the average confidence interval accuracy for levels 1-8 was 91.39%, representing a 1.00% increase; and the false negative rates at levels 8 and 9 were reduced by 2.42% and 6.76%, respectively. The system efficacy of the high-density SNP locus set for kinship inference of first to eighth degree relationships reached 98.91%. Through random reduction of the high-density SNP locus set results, it is found that increasing the number of SNPs with the panel, the detection efficiency of IBD length showed a significant upward trend. At the same time, the overall trend in the accuracy of kinship relationship prediction as well as the confidence interval accuracy also indicated that both metrics steadily increased with the addition of more loci. ConclusionThe results show that the high-density SNPs panel significantly enhances the efficacy of distant kinship inference, accurately covering kinship degrees, with the average confidence interval accuracy for first to eighth degree relationships stably above 90%. The study finds that increasing the number of SNPs panel can improve the ability to predict distant kinship.

Objective To identify key proteins associated with sudden cardiac death(SCD)caused by lethal arrhythmia and to explore their potential molecular mechanisms through integrated proteomic analysis,data mining,and bioinformatics.Methods A lethal arrhythmia model was established in 8-week-old male Sprague-Dawley rats,which were divided into an arrhythmia group and a control group.Proteomic techniques were applied to identify and quantify proteins in left ventricular myocardial tissue,and differentially expressed proteins related to arrhythmia were screened.Key proteins were further identified through comparison with target proteins in databases combined with joint analyses.Bioinformatics methods were then used to investigate potential molecular mechanisms.Results A total of 356 differentially expressed proteins were identified,including 189 upregulated and 167 downregulated.Association analysis with target gene proteins identified 71 key proteins,and a protein-protein interaction network was constructed.GO enrichment and KEGG pathway analyses indicated that these key proteins were primarily involved in ion channel dysfunction,enhanced oxidative stress,and autonomic nervous system imbalance.Conclusion This study,through the integration of proteomics,data mining,and bioinformatics,revealed critical molecular mechanisms underlying SCD associated with lethal arrhythmia.These findings provide new perspectives and potential biomarkers for forensic identification and research on the mechanisms of death.

The incomplete degradation of tumour cells by macrophages(Mφ)is a contributing factor to tumour progression and metastasis,and the degradation function of Mφ is mediated through phagosomes and lysosomes.In our preliminary experiments,we found that overactivation of NADPH oxidase 2(NOX2)reduced the ability of Mφ to degrade engulfed tumour cells.Above this,we screened out liquiritin from Glycyrrhiza uralensis Fisch,which can significantly inhibit NOX2 activity and inhibit tumours,to elucidate that suppressing NOX2 can enhance the ability of Mφ to degrade tumour cells.We found that the tumour environment could activate the NOX2 activity in Mφ phagosomes,causing Mφ to produce excessive reactive oxygen species(ROS),thus prohibiting the formation of phagolysosomes before degradation.Conversely,inhibiting NOX2 in Mφ by liquiritin can reduce ROS and promote phagosome-lysosome fusion,therefore improving the enzymatic degradation of tumour cells after phagocytosis,and subse-quently promote T cell activity by presenting antigens.We further confirmed that liquiritin down-regulated the expression of the NOX2 specific membrane component protein gp91 phox,blocking its binding to the NOX2 cytoplasmic component proteins p67 phox and p47 phox,thereby inhibiting the activity of NOX2.This study elucidates the specific mechanism by which Mφ cannot degrade tumour cells after phagocytosis,and indicates that liquiritin can promote the ability of Mφ to degrade tumour cells by suppressing NOX2.

Imaging examination is a crucial part in diagnosis and treatment of central nervous system infection(CNSI),involving complex imaging sequences and parameters.This consensus was jointly written by multiple CNSI imaging experts in China,aimed to standardize imaging examination of CNSI.

Objective To identify key proteins associated with sudden cardiac death(SCD)caused by lethal arrhythmia and to explore their potential molecular mechanisms through integrated proteomic analysis,data mining,and bioinformatics.Methods A lethal arrhythmia model was established in 8-week-old male Sprague-Dawley rats,which were divided into an arrhythmia group and a control group.Proteomic techniques were applied to identify and quantify proteins in left ventricular myocardial tissue,and differentially expressed proteins related to arrhythmia were screened.Key proteins were further identified through comparison with target proteins in databases combined with joint analyses.Bioinformatics methods were then used to investigate potential molecular mechanisms.Results A total of 356 differentially expressed proteins were identified,including 189 upregulated and 167 downregulated.Association analysis with target gene proteins identified 71 key proteins,and a protein-protein interaction network was constructed.GO enrichment and KEGG pathway analyses indicated that these key proteins were primarily involved in ion channel dysfunction,enhanced oxidative stress,and autonomic nervous system imbalance.Conclusion This study,through the integration of proteomics,data mining,and bioinformatics,revealed critical molecular mechanisms underlying SCD associated with lethal arrhythmia.These findings provide new perspectives and potential biomarkers for forensic identification and research on the mechanisms of death.

Background and Aims:Long noncoding RNA(lncRNA)nuclear-enriched abundant transcript 1(NEAT1)is an oncogenic lncRNA that promotes the progression of various cancers through the competing endogenous RNA(ceRNA)mechanism.Using the TargetScan database,we previously identified binding sites between NEAT1 and microRNA-124-3p(miR-124-3p),as well as between miR-124-3p and catenin beta-1(CTNNB1).Therefore,this study was conducted to investigate the expression of NEAT1,miR-124-3p,and CTNNB1 in pancreatic cancer and their interactions affecting pancreatic cancer cell functions.Methods:A dual-luciferase reporter assay was used to validate the relationships among NEAT1,miR-124-3p,and CTNNB1.The expression levels of NEAT1 and miR-124-3p,as well as CTNNB1 protein expression,were detected in pancreatic cancer tissues and adjacent normal tissues,as well as in pancreatic cancer PANC-1 cells and normal pancreatic epithelial H6C7 cells.PANC-1 cells were transfected with NEAT1 siRNA alone or co-transfected with a miR-124-3p inhibitor.After transfection,changes in PANC-1 cell biological functions,epithelial-mesenchymal transition related protein expression,and tumor growth ability in mice were assessed.Results:The dual-luciferase reporter assay confirmed the targeting relationships between NEAT1 and miR-124-3p,as well as between miR-124-3p and CTNNB1.NEAT1 and CTNNB1 expression levels were significantly upregulated,while miR-124-3p expression was downregulated in pancreatic cancer tissues(vs.adjacent tissues)and in PANC-1 cells(vs.H6C7 cells)(all P<0.05).NEAT1 siRNA transfection led to decreased NEAT1 and CTNNB1 expression and increased miR-124-3p expression in PANC-1 cells.However,co-transfection with a miR-124-3p inhibitor suppressed the expression changes in miR-124-3p and CTNNB1(all P<0.05).NEAT1 siRNA transfection significantly reduced PANC-1 cell proliferation,migration,and invasion,while promoting apoptosis.Additionally,E-cadherin protein expression was upregulated,whereas N-cadherin and vimentin protein expression were downregulated.Tumor growth in mice was also significantly inhibited(all P<0.05).These changes were attenuated upon co-transfection with the miR-124-3p inhibitor(all P<0.05).Conclusion:NEAT1 may act as a ceRNA by competitively binding to miR-124-3p,thereby attenuating miR-124-3p-mediated inhibition of CTNNB1.This leads to CTNNB1 upregulation,ultimately promoting the malignant biological behavior of pancreatic cancer cells.

BACKGROUND:Skeletal muscle insulin resistance is the key pathological link of type 2 diabetes.The traditional Chinese medicine compound Roujishuncuiyin can effectively improve skeletal muscle insulin resistance,but its mechanism has not been clarified.OBJECTIVE:To explore the mechanism of Roujishuncuiyin on skeletal muscle insulin resistance in type 2 diabetes mice.METHODS:Forty db/db mice with type 2 diabetes mellitus were randomized into a model group,a low-dose Roujishuncuiyin group,a high-dose Roujishuncuiyin group,and a positive drug group,with 10 mice in each group.The latter three administration groups were given 157.5 mg/g and 630 mg/g Roujishuncuiyin and 200 mg/g metformin hydrochloride aqueous solution by gavage once a day,respectively.In addition,10 db/dm mice were selected as the blank control group.Mice in the model and blank control groups were given the same dose of 0.9％NaCl solution by gavage.After 12 weeks of intervention,fasting blood glucose was measured in each group of mice,and oral glucose tolerance test was performed to calculate the area under the blood glucose curve.ELISA was used to detect serum insulin level and calculate the resistance index.Mitochondrial structure of skeletal muscle tissue was observed under transmission electron microscopy.Western blot was used to detect the expression levels and phosphorylation levels of protein kinase B(AKT)and glycogen synthase kinase 3β(GSK-3β)proteins in skeletal muscle.RESULTS AND CONCLUSION:(1)Compared with the blank control group,fasting blood glucose,fasting insulin and insulin resistance index were significantly higher in the model group(P＜0.05),the area under the curve of the oral glucose tolerance test was significantly increased(P＜0.05),the expression of p-AKT and p-GSK3β proteins in tibialis anterior muscle was significantly decreased(P＜0.05),and there was a large amount of mitochondrial damage in tibialis anterior muscle and a large number of lipid droplets in the interstitium.(2)Compared with the model group,fasting blood glucose,fasting insulin,and insulin resistance index were significantly reduced in the low-and high-dose Roujishuncuiyin groups and the positive control group(P＜0.05),the area under the curve of the oral glucose tolerance test was reduced(P＜0.05),the expression of p-AKT and p-GSK3β proteins in the tibialis anterior muscle was significantly elevated(P＜0.05),and mitochondrial damage in the tibialis anterior muscle was significantly ameliorated,with decreased lipid droplets in the interstitium.(3)The above indexes were better in the high-dose Roujishuncuiyin group than the low-dose Roujishuncuiyin group(P＜0.05),while there was no significant difference between the high-dose Roujishuncuiyin group and positive control group(P＞0.05).To conclude,by upregulating the protein levels of p-AKT and p-GSK3β in skeletal muscle tissue,the traditional Chinese medicine compound Roujishuncuiyin can improve structural disorders and mitochondrial morphology in skeletal muscle tissue,reduce insulin resistance in the skeletal muscle and regulate glucose homeostasis in the body.

Objective To analyze the results of ultrasonic examinations of hip joints in preterm infants,clarify the developmental characteristics of hip joints across different gestational ages.Meth-ods A total of 881 preterm infants who attended the Child Healthcare Outpatient Clinic of Nanjing Maternity and Child Health Care Hospital between January 2023 and April 2024 were enrolled.The first ultrasonic examination of the hip joints was performed at a corrected gestational age of 4 to 6 weeks.The Graf classification method was employed to categorize the ultrasonic findings.Differences in hip joint development among preterm infants of varying gestational ages were compared,and rele-vant influencing factors were statistically analyzed.Results A total of 1,762 hip joints were exam-ined,with 30 cases of abnormal hip joints detected,yielding an abnormality detection rate of 3.4％(30/881).Among these,26 hips were classified as type Ⅱa and 8 as type Ⅱb.Statistically signifi-cant differences were observed in the detection of left-sided abnormal hip joints between preterm in-fants of other gestational age groups and late preterm infants(P＜0.05).A statistically significant difference was found in the classification of right-sided hip joints between preterm infants of different genders(P＜0.05),while no significant difference was observed for left-sided hip joints(P＞0.05).Statistically significant differences were noted in the detection rates of bilateral abnormal hip joints among preterm infants with varying birth weights(P＜0.05).Advanced maternal age was found to influence the development of left-sided hip joints inpreterm infants,whereas factors such as assisted reproductive technology,breech presentation,and nulliparity had no significant impacts on abnormal hip joint development in preterm infants.Conclusion Ultrasonic technology demonstrates signifi-cant advantages in screening for developmental dysplasia of the hip(DDH)in preterm infants.Dif-ferent gestational ages exert a notable influence on the development of left-sided hip joints in preterm infants.Female preterm infants exhibit a higher risk of right-sided hip joint abnormalities compared to the left side.Breech presentation,assisted reproductive technology,and nulliparity are not risk factors for DDH in preterm infants.However,higher birth weight in preterm infants and advanced maternal age are associated with abnormal hip joint development.Clinical attention should focus on high-risk factors,and enhanced dynamic ultrasonic monitoring of hip joints in preterm infants is war-ranted to facilitate early intervention and treatment.

Background and Aims:Long noncoding RNA(lncRNA)nuclear-enriched abundant transcript 1(NEAT1)is an oncogenic lncRNA that promotes the progression of various cancers through the competing endogenous RNA(ceRNA)mechanism.Using the TargetScan database,we previously identified binding sites between NEAT1 and microRNA-124-3p(miR-124-3p),as well as between miR-124-3p and catenin beta-1(CTNNB1).Therefore,this study was conducted to investigate the expression of NEAT1,miR-124-3p,and CTNNB1 in pancreatic cancer and their interactions affecting pancreatic cancer cell functions.Methods:A dual-luciferase reporter assay was used to validate the relationships among NEAT1,miR-124-3p,and CTNNB1.The expression levels of NEAT1 and miR-124-3p,as well as CTNNB1 protein expression,were detected in pancreatic cancer tissues and adjacent normal tissues,as well as in pancreatic cancer PANC-1 cells and normal pancreatic epithelial H6C7 cells.PANC-1 cells were transfected with NEAT1 siRNA alone or co-transfected with a miR-124-3p inhibitor.After transfection,changes in PANC-1 cell biological functions,epithelial-mesenchymal transition related protein expression,and tumor growth ability in mice were assessed.Results:The dual-luciferase reporter assay confirmed the targeting relationships between NEAT1 and miR-124-3p,as well as between miR-124-3p and CTNNB1.NEAT1 and CTNNB1 expression levels were significantly upregulated,while miR-124-3p expression was downregulated in pancreatic cancer tissues(vs.adjacent tissues)and in PANC-1 cells(vs.H6C7 cells)(all P<0.05).NEAT1 siRNA transfection led to decreased NEAT1 and CTNNB1 expression and increased miR-124-3p expression in PANC-1 cells.However,co-transfection with a miR-124-3p inhibitor suppressed the expression changes in miR-124-3p and CTNNB1(all P<0.05).NEAT1 siRNA transfection significantly reduced PANC-1 cell proliferation,migration,and invasion,while promoting apoptosis.Additionally,E-cadherin protein expression was upregulated,whereas N-cadherin and vimentin protein expression were downregulated.Tumor growth in mice was also significantly inhibited(all P<0.05).These changes were attenuated upon co-transfection with the miR-124-3p inhibitor(all P<0.05).Conclusion:NEAT1 may act as a ceRNA by competitively binding to miR-124-3p,thereby attenuating miR-124-3p-mediated inhibition of CTNNB1.This leads to CTNNB1 upregulation,ultimately promoting the malignant biological behavior of pancreatic cancer cells.

Background:Ribosomal protein L22-like 1(RPL22L1)exerts regulatory effects on various malignant tumors such as lung cancer,prostate cancer,and cervical cancer.However,its role in colorectal cancer(CRC)remains unclear.Aims:To investigate the expression of RPL22L1 in CRC and its role in patients' prognosis and glucose metabolism of tumor cells.Methods:A total of 142 newly diagnosed CRC patients admitted to the Taizhou First People's Hospital from February 2022 to June 2024 were enrolled.The expression levels of RPL22L1 mRNA and protein were detected by quantitative real-time PCR and immunohistochemistry,respectively.The correlation between RPL22L1 expression and clinicopathological characteristics was analyzed.Kaplan-Meier survival analysis was used to evaluate the impact of RPL22L1 expression on the prognosis of CRC patients.RPL22L1 siRNA was transfected into SW480 cells to establish a low-expression cell model.Cell proliferation was assessed by CCK-8 assay,cell migration by Transwell chamber assay,and apoptosis by flow cytometry.Gene set enrichment analysis(GSEA)was performed to evaluate the effect of RPL22L1 on glucose metabolism of tumor cells.Results:The expression levels of RPL22L1 mRNA and protein were significantly higher in CRC tissues than in adjacent normal tissues(all P<0.05).The expression level of RPL22L1 mRNA was correlated with the TNM stage and carcinoembryonic antigen level of CRC(all P<0.05).Kaplan-Meier analysis showed that the cumulative survival rate of high RPL22L1 mRNA expression group was significantly lower than that of low-expression group(P=0.027).The expression level of RPL22L1 mRNA was significantly higher in SW480 cells than in normal intestinal epithelial cells(P<0.001).After inhibiting RPL22L1 expression,the proliferation and migration capacities of SW480 cells were significantly decreased(all P<0.05),the apoptosis rate was significantly increased(P=0.005),and the lactate level and relative glucose uptake level were significantly reduced(all P<0.05).GSEA indicated that RPL22L1 gene was associated with glycolysis/gluconeo-genesis(P=0.02).Conclusions:RPL22L1 is highly expressed in CRC and is associated with poor prognosis of patients,suggesting its potential as a molecular target for CRC therapy.Furthermore,RPL22L1 may promote the tumorigenesis and progression of CRC by modulating glucose metabolism.