Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Objective:The SARS-CoV-2 has a high natural mutation rate, and dynamic monitoring of virus variants remains a key focus in current COVID-19 prevention and control efforts.Methods:In this study, a sensitive and rapid method for detecting SARS-CoV-2 omicron variant nucleic acid was established based on the BMD-PCR technology.Results:This method showed good specificity, and had no cross-reactivity with 11 common viruses transmitted via the respiratory and gastrointestinal tracts, and the limit of detection is 555 copies/ml. Compared with SARS-CoV-2 whole-genome sequencing result, among 50 samples with original Ct values ≤32 tested for the Omicron variant, 49 samples tested positive for the N679K mutation site using BMD-PCR Omicron variant detection, achieving a concordance rate of 98.00%. For 30 samples JN.1 lineage, 29 samples tested positive for the K356T mutation site using BMD-PCR JN.1 lineage detection, with a concordance rate of 96.67%. For 10 samples with original SARS-CoV-2 detection Ct values between 35 and 32, 7 samples tested positive for the N679K mutation site using BMD-PCR Omicron variant detection, Resultsing in a detection rate of 70.00%. For samples with SARS-CoV-2 nucleic acid detection Ct values>35, the detection rate for the N679K mutation site in the BMD-PCR Omicron variant was 20.00%.Conclusions:This method can serve as a high-throughput supplementary approach for the preliminary identification of SARS-CoV-2 variant genotypes.

Objective:The SARS-CoV-2 has a high natural mutation rate, and dynamic monitoring of virus variants remains a key focus in current COVID-19 prevention and control efforts.Methods:In this study, a sensitive and rapid method for detecting SARS-CoV-2 omicron variant nucleic acid was established based on the BMD-PCR technology.Results:This method showed good specificity, and had no cross-reactivity with 11 common viruses transmitted via the respiratory and gastrointestinal tracts, and the limit of detection is 555 copies/ml. Compared with SARS-CoV-2 whole-genome sequencing result, among 50 samples with original Ct values ≤32 tested for the Omicron variant, 49 samples tested positive for the N679K mutation site using BMD-PCR Omicron variant detection, achieving a concordance rate of 98.00%. For 30 samples JN.1 lineage, 29 samples tested positive for the K356T mutation site using BMD-PCR JN.1 lineage detection, with a concordance rate of 96.67%. For 10 samples with original SARS-CoV-2 detection Ct values between 35 and 32, 7 samples tested positive for the N679K mutation site using BMD-PCR Omicron variant detection, Resultsing in a detection rate of 70.00%. For samples with SARS-CoV-2 nucleic acid detection Ct values>35, the detection rate for the N679K mutation site in the BMD-PCR Omicron variant was 20.00%.Conclusions:This method can serve as a high-throughput supplementary approach for the preliminary identification of SARS-CoV-2 variant genotypes.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

In recent years, the long-read sequencing technology has been developing rapidly, playing a crucial role in research fields of genomics, transcriptomics, and epigenetics, and showing broad application prospects in the field of clinical testing. This paper introduces the basic principles and performance of the main long-read sequencing platforms, reviews the research progress of this technology in preimplantation genetic testing, and discusses the major challenges currently faced and possible future directions.

In recent years, the long-read sequencing technology has been developing rapidly, playing a crucial role in research fields of genomics, transcriptomics, and epigenetics, and showing broad application prospects in the field of clinical testing. This paper introduces the basic principles and performance of the main long-read sequencing platforms, reviews the research progress of this technology in preimplantation genetic testing, and discusses the major challenges currently faced and possible future directions.

Objective The study aimed to construct and validate a predictive model for pulmonary nodules(PN)nature based on clinicopa-thological features,imaging,and serum biomarkers,so as to provide scientificdecision-making for early diagnosis and treatment of lung cancer.Methods A retrospective was performed on 816 PN patients with definited pathological diagnosis who received surgical resection analysisor lung biopsy in the Department of Thoracic Surgery and Oncology of Shenzhen Traditional Chinese Medicine Hospital from January 2019 to February 2023.Among them,113 cases that did not meet the inclusion criteria were excluded,and the remaining 703 cases were included in the study.The study based on the clinicopathologic features(age,gender,smoking history,smoking cessation history and family history of cancer),chest imaging(maximum diameter of nodule,location of lesion,clear border,Lobulation,spiculation,vascular convergence sign,vacuole,calcification,air bronchial sign,emphysema,nodule type and pleural indentation,nodule number)and serum carcinoembryonic antigen(CEA),cytokeratin 19 fragment(CYFRA21-1),squamous cell carcinoma antigen(SCCA)in patients with PN.These cases were randomly divided into a modeling group(n=552,237 benign,315 malignant)and a validation group(n=151,85 benign,66 malignant).First,univariate analysis was performed to screen for statistically significant predictors of nodules nature.Then,multivariate regression analysis was performed to screen for independent predictors of nodules nature.Finally,the prediction model of PN nature was constructed by logistic regression analysis.Subsequently,the validation group data were entered into the proposed model and Mayo clinic(Mayo)model,veterans affairs(VA)model,Brock University(Brock)model,Peking University(PKU)model and Guangzhou Medical University(GZMU)model,respectively.PN malignancy probability was calculated.The receiver operating characteristic(ROC)curves were plotted.The diagnostic efficiency of each model was compared according to the area under the curve(AUC).Results There were statistically significant variables including age,family history of cancer,maximum nodule diameter,nodule type,upper lobe of lung,calcification,vascular convergence sign,lobulation,clear border,spiculation,and serum CEA,SCCA,CYFRA21-1 using univariate analysis.Multiple regression analysis showed that age,CEA,clear border,CYFRA21-1,SCCA,upper lobe of lung,maximum nodule diameter,family history of cancer,spiculation and nodule type were independent predictors of PN nature.The prediction model equation constructed in this study is as follows:f(x)= ex/(1+ex),X=(-6.318 8+0.020 8×Age+0.527 4×CEA-0.928 4×clear border+0.294 6×Cyfra21-1+0.294×maximum nodule diameter+1.220 1×family history of cancer +0.573 2×upper lobe of lung +0.064 8×SCCA +1.461 5×Spiculation +1.497 6×nodule type).The AUC(0.799 vs 0.659,0.650)of the proposed model was significantly higher compared with Mayo model and VA model,and there were statistically significant differences(Z=3.029,2.638,P=0.003,0.008).However,compared with Brock model,PKU model and GZMU model,the differences of AUC(0.799 vs 0.762,0.773,0.769)were not statistically significant(Z=1.063,0.686,0.757,P=0.288,0.493,0.449).Conclusion The prediction model for PN nature established in this study is accurate and reliable,which can help clinics with early diagnosis and early intervention,and this prediction model deserves to be popularized.

BACKGROUND:Grape seed extract has been shown to be effective in inhibiting the growth of androgen-dependent tumors(e.g.,breast cancer),and thus grape seed extract could theoretically inhibit epiphyseal closure induced by estrogen in late adolescence. OBJECTIVE:To screen the effects of grape seed extract on apoptosis of growth plate chondrocytes and epiphyseal closure in rats. METHODS:(1)In vitro experiment:Growth plate chondrocytes from rat large tibia and femur at logarithmic growth stage were obtained and cultured in groups:normal control group,model control group(adding 17β-estradiol to induce apoptosis),positive control group(adding letrozole and 17β-estradiol),grape seed extract group(adding 17β-estradiol and 10 μg/mL grape seed extract),Caspase-9 inhibitor group(adding 17β-estradiol and Caspase-9 inhibitor),Caspase-9 agonist group(adding 17β-estradiol and Caspase-9 agonist).Cell apoptosis was detected by flow cytometry after 48 hours of culture.(2)In vivo experiment:Thirty 3-month-old Sprague-Dawley rats were randomly divided into model control group,positive control group and low-,medium-and high-dose groups,with five rats in each group.All rats were injected subcutaneously with 17β-estradiol(3 times per week)to establish epiphyseal closure models,followed by intragastric administration of letrozole in positive control group and 0.05,0.2 and 0.8 g/kg grape seed extract in low-,medium-and high-dose groups,respectively,once a day until over 2/3 of the epiphyseal plate in the model control group was closed.The length of the tibia was then observed.Another 18 Sprague-Dawley rats were randomly divided into model control group,positive control group,and medium-dose group,with 6 rats in each group,treated as above for 1.5 continuous months.The expression of Caspase-9 protein in rat growth plate cartilage was detected by western blot. RESULTS AND CONCLUSION:(1)In vitro experiment:17β-estradiol could induce apoptosis in growth plate chondrocytes,and letrozole,grape seed extract,and caspase-9 inhibitors could all inhibit apoptosis in growth plate chondrocytes.(2)In vivo experiment:When more than 2/3 of the epiphyseal plate in the model control group was closed,the number of rats with epiphysis closure in the positive control and medium-dose groups was less than that in the model control group(P＜0.05),and the tibial length was longer than that in the model control group(P＜0.05),and the Caspase-9 protein expression in the tibial growth plate was lower than that in the model control group(P＜0.05).To conclude,the appropriate dose of grape seed extract can effectively inhibit the apoptosis of growth plate chondrocytes and delay epiphyseal closure,which has the potential to promote bone growth.

Objective To investigate the expression and clinical significance of CD155 in oral squamous cell carci-noma(OSCC)tissues,as well as its impact on migration,proliferation and invasion.Methods Immunohisto-chemistry(IHC)was used to analyze the expression of CD155 in OSCC tissues and its correlation with clinicopath-ological features and prognosis.The transcription levels of CD155 were assessed by Western blot and RT-qPCR.Cell experiments were conducted to evaluate the effects of CD155 on OSCC cells following transfection with CD155 siRNA.Results CD155 was predominantly expressed on the cell membrane in OSCC tissues,with higher expres-sion levels compared to normal tissues(x2=50.750,P＜0.000 1).High CD155 expression was associated withⅢ+Ⅳ disease stages(x2=25.488,P=0.001),poor differentiation(x2=6.299,P=0.012),T3+T4 depth of invasion(x2=23.820,P=0.001)and lymph node metastasis(x2=7.830,P=0.005)in OSCC patients;survival analysis revealed a correlation between high CD155 expression and shorter patient survival(P＜0.05).COX regression analysis identified lymph node metastasis as an independent factor affecting the survival of OSCC patients(P＜0.05).Both CD155 protein expression and mRNA transcription levels were significantly upregulated in OSCC cells(P＜0.05).Transfection with siRNA-CD155 in OSCC cells resulted in significantly reduced prolif-eration,migration and invasion abilities compared to the control group(P＜0.05).Conclusion CD 155 is highly expressed in OSCC tissues and is associated with poor patient prognosis.Modulating CD155 expression can influ-ence the biological functions of OSCC cells,leading to and inhibition of proliferation,migration,and invasion.

Objective:To study the antitumor activity of zeylenone in colorectal cancer and its related regulatory mechanism.Methods:Human colorectal cancer cells(DLD-1 and HCT116)and control cell(HcoEpic)were treated with different concentrations of zeylenone(0,2.5,5,10 and 20 μmol/L)for 48 h.Cell viability of DLD-1,HCT116 and HcoEpic were determined by CCK-8 kit.TUNEL staining was used to evaluate cell apoptosis.Caspase-3 activity and LDH level were measured by ELISA.Relative levels of M1 and M2 polarization markers,p-PI3K/PI3K and p-AKT/AKT were detected by Western blot and qRT-PCR.DLD-1 cells were subcuta-neously injected into the armpit of nude mice to establish a mouse xenograft tumor model.Intraperitoneal dose of zeylenone given to nude mice was 30 mg/kg,administered once every two days.After 2 weeks,the effect of zeylenone on growth of colorectal cancer tumors was detected.Results:Zeylenone inhibited cell activity and promoted cell apoptosis in colorectal cancer cells.Additionally,zeylenone stimulated M1-polarization and inhibited M2-polarization of tumor-associated macrophages(P<0.05).PI3K/AKT signaling pathway was inhibited by zeylenone in colorectal cancer cells(P<0.05).PI3K/AKT signaling pathway activator(740 Y-P)attenuated the effect of zeylenone on colorectal cancer cells.In mouse xenograft model,zeylenone inhibited the growth of colorectal cancer tumors(P<0.05).Conclusion:Zeylenone can inhibit colorectal cancer cell activity,promote colorectal cancer cell apoptosis,and promote M1 po-larization of tumor-associated macrophages by regulating PI3K/AKT signaling pathway,ultimately inhibiting the progression of colorec-tal cancer.