Objective This study aimed to understand the epidemic status and phylogenetic relationships of rotavirus group A(RVA)in the Pearl River Delta region of Guangdong Province,China. Methods This study included individuals aged 28 days-85 years.A total of 706 stool samples from patients with acute gastroenteritis collected between January 2019 and January 2020 were analyzed for 17 causative pathogens,including RVA,using a Gastrointestinal Pathogen Panel,followed by genotyping,virus isolation,and complete sequencing to assess the genetic diversity of RVA. Results The overall RVA infection rate was 14.59%(103/706),with an irregular epidemiological pattern.The proportion of co-infection with RVA and other pathogens was 39.81%(41/103).Acute gastroenteritis is highly prevalent in young children aged 0-1 year,and RVA is the key pathogen circulating in patients 6-10 months of age with diarrhea.G9P[8](58.25%,60/103)was found to be the predominant genotype in the RVA strains,and the 41 RVA-positive strains that were successfully sequenced belonged to three different RVA genotypes in the phylogenetic analysis.Recombination analysis showed that gene reassortment events,selection pressure,codon usage bias,gene polymorphism,and post-translational modifications(PTMs)occurred in the G9P[8]and G3P[8]strains. Conclusion This study provides molecular evidence of RVA prevalence in the Pearl River Delta region of China,further enriching the existing information on its genetics and evolutionary characteristics and suggesting the emergence of genetic diversity.Strengthening the surveillance of genotypic changes and gene reassortment in RVA strains is essential for further research and a better understanding of strain variations for further vaccine development.

Objective To investigate the prognostic value of M2 macrophage-related genes(MRG)in hepatitis B virus(HBV)-related hepatocellular carcinoma(HCC).Methods The transcriptome data of 73 patients with HBV-related HCC were obtained from TCGA database,and the MRG modules were identified by WGCNA.The MRG-based risk scoring model was constructed by LASSO regression analysis and validated using an external dataset.The correlation of the risk score with immune cell infiltration and drug sensitivity of HCC were analyzed with CIBERSORT and R.pRRophetic.The signaling pathways of the differential genes between the high-and low-risk groups were investigated using GSVA and GSEA enrichment analyses,and MRG expressions at the single cell level were validated using R.Seurat.The cell interaction intensity was analyzed by R.Cellchat to identify important cell types related to HCC progression.MRG expression levels were detected by RT-qPCR in THP-1 cells with HCC-conditioned medium-induced M2 polarization and in HBV-positive HCC cells.Results A high M2 macrophage infiltration level was significantly correlated with a poor prognosis of HCC,and 5 hub MRG(VTN,GCLC,PARVB,TRIM27,and GMPR)were identified.The overall survival of HCC patients was significantly lower in the high-risk than in the low-risk group.The high-and the low-risk groups showed significant enrichment of M2 macrophages and na?ve B cells,respectively,and were sensitive to BI.2536 and to AG.014699,AKT.inhibitor.Ⅷ,AZD.0530,AZD7762,and BMS.708163,respectively.The proliferation-related and metabolism-related pathways were enriched in the high-risk group,where monocytes showed the most active cell interactions during HCC progression.VTN was significantly upregulated in HCC cell lines,while GCLC,PARVB,TRIM27,and GMPR were upregulated in M2 THP-1 cells.Conclusion The MRG-based risk scoring model can accurately predict the prognosis of HBV-related HCC and reveal the differences in tumor microenvironment to guide precision treatment of the patients.

Objective: To determine the nutritional status and associated factors of vitamin D in primary and middle school students in Shandong Province, so as to provide reference for developing targeted vitamin deficiency interventions. Methods: From January to September 2021, using multi stage stratified random sampling, physical examinations and laboratory tests were carried out among 3 539 primary and middle school students in Shandong Province. Associated factors of vitamin D were analyzed by Logsitc regression analysis. Results: The average vitamin D level among primary and middle school students was (17.56±6.65) ng/mL, while the deficiency and severe deficiency rate was 67.4%. Multivariate Logistic regression analysis showed that girls ( OR =1.95), students in junior high school ( OR =2.14) and senior high school ( OR =2.36) were at higher risk of vitamin D deficiency and severe deficiency ( P <0.05). Students from coastal areas ( OR =0.54), physical examination in summer and autumn ( OR = 0.74 ), and 35 g of egg intake per day ( OR =0.53), and with outdoor activity time greater than 60-120 min and >120 min ( OR =0.63, 0.48) had lower risk of vitamin D deficiency ( P <0.05). Conclusions The nutritional status of vitamin D among elementary and secondary school students in Shandong Province warrants further attention. Intervention measures such as nutritional education, healthy diet and prolonging outdoor activities should be promoted in primary and middle school students.

Background::Programmed death 1 (PD-1) blockade plus chemotherapy has become the new first-line standard of care for patients with advanced non-small-cell lung cancer (NSCLC). Yet not all NSCLC patients benefit from this regimen. This study aimed to investigate the predictors of PD-1 blockade plus chemotherapy in untreated advanced NSCLC.Methods::We integrated clinical, genomic, and survival data from 287 patients with untreated advanced NSCLC who were enrolled in one of five registered phase 3 trials and received PD-1 blockade plus chemotherapy or chemotherapy alone. We randomly assigned these patients into a discovery cohort ( n = 125), a validation cohort ( n = 82), and a control cohort ( n = 80). The candidate genes that could predict the response to PD-1 blockade plus chemotherapy were identified using data from the discovery cohort and their predictive values were then evaluated in the three cohorts. Immune deconvolution was conducted using transcriptome data of 1014 NSCLC patients from The Cancer Genome Atlas dataset. Results::A genomic variation signature, in which one or more of the 15 candidate genes were altered, was correlated with significantly inferior response rates and survival outcomes in patients treated with first-line PD-1 blockade plus chemotherapy in both discovery and validation cohorts. Its predictive value held in multivariate analyses when adjusted for baseline parameters, programmed cell death ligand 1 (PD-L1) expression level, and tumor mutation burden. Moreover, applying both the 15-gene panel and PD-L1 expression level produced better performance than either alone in predicting benefit from this treatment combination. Immune landscape analyses revealed that tumors with one or more variation in the 15-gene panel were associated with few immune infiltrates, indicating an immune-desert tumor microenvironment.Conclusion::These findings indicate that a 15-gene panel can serve as a negative prediction biomarker for first-line PD-1 blockade plus chemotherapy in patients with advanced NSCLC.

Objective To explore the clinical characteristics and treatment strategies of infective endocarditis caused by Bartonella vinsonii subsp.berkhoffii(Bvb).Methods Clinical diagnosis and treatment of a 25-year-old male patient with infective endocarditis caused by Bvb in China was reported,combined with literatures about three similar cases reported abroad were summarized and analyzed.Results All 4 patients were young and middle-aged males with a history of close contact with canines in the past one year.The main symptoms were chest pain,fa-tigue,and dyspnea,accompanied by cerebrovascular accidents and severe anemia,as well as the formation of heart valve vegetations and valve function impairment.Multiple blood cultures were negative,2 and 3 cases were con-firmed to be infected with Bvb through metagenomic next-generation sequencing(mNGS)of pathogenic microorga-nisms and polymerase chain reaction respectively.All patients underwent surgical treatment due to heart failure,and all survived after surgery and targeted anti-infective treatment.Conclusion This case report is the first case of Bvb infective endocarditis in China.Patient's diagnosis is confirmed by serum indirect immunofluorescence assay and mNGS,combination of surgery and anti-infective treatment has achieved ideal effect.

Objective To investigate the clinical effect of orthopedic robot combined with Starr pelvic reduction frame in the treatment of Tile type C pelvic ring fracture.Methods From October 2019 to May 2021,14 patients with type C pelvic ring fracture were treated with robotic combined with Starr pelvic reduction frame,including 9 males and 5 females.The age ranged from 33 to 69 years.All the 14 patients had fresh closed fractures without femur,tibia and fibula fracture.Surgery was complet-ed from 4 to 7 d after hospital admission.During the operation,the X-ray carbon bed was used,the pelvic ring was reduced by Starr pelvis reduction frame,and pelvic ring fracture was treated by orthopedic robot.Operation time,bleeding volume,fluo-roscopy times of single screw placement,fracture reduction quality,affected limb function and complications were observed.Radiological reduction was evaluated using Matta scoring standard,and clinical efficacy was evaluated by Majeed pelvic func-tion scoring system at the final follow-up.Results All of 14 patients successfully completed the operation,the operation time was 84 to 141 min,the bleeding volume was 20 to 50 ml,and the fluoroscopy times of single screw insertion was 4 to 9 times.All of 14 patients were followed up for 12 to 24 months.The healing time was 3 to 7 months.No complications such as fracture of internal fixation,screw loosening,infection and nerve injury were found.According to the evaluation criteria of Matta imag-ing reduction,9 cases were excellent,4 cases were good,and 1 case was fair.At the final follow-up,Majeed pelvic function scoring system was used:10 cases were excellent,4 cases were good.Conclusion The treatment of type C pelvic ring fracture with robotic combined Starr pelvis reduction frame is simple,time-saving,less trauma,less complications and effective.

Objective To construct an artificial intelligence assisted diagnosis model based on deep learning for dynamically recognizing gastric lesions and their locations under gastroscopy in real time,and to evaluate its ability to detect and recognize gastric lesions and their locations.Methods The gastroscopy videos of 104 patients in our hospital was retrospectively analyzed,and the video frames were manually annotated.The annotated picture frames of lesion category were divided into the training set and the validation set according to the ratio of 8∶2,and the annotated picture frames of location category were divided into the training set and the validation set according to the patient sources at the ratio of 8∶2.These sets were utilized for training and validating the respective models.YoloV4 model was used for the training of lesion recognition,and ResNet152 model was used for the training of location recognition.The accuracy,sensitivity,specificity,positive predictive value,negative predictive value and location recognition accuracy of the auxiliary diagnostic model were evaluated.Results A total of 68 351 image frames were annotated,with 54 872 frames used as the training set,including 41 692 frames for lesion categories and 13 180 frames for location categories.The validation set consisted of 13 479 frames,comprising 10 422 frames for lesion categories and 3 057 frames for location categories.The lesion recognition model achieved an overall accuracy of 98.8%,with a sensitivity of 96.6%,specificity of 99.3%,positive predictive value of 96.3%,and negative predictive value of 99.3% in validation set.Meanwhile,the location recognition model demonstrated an top-5 accuracy of 87.1% .Conclusion The artificial intelligence assisted diagnosis model based on deep learning for real-time dynamic recognition of gastric lesions and their locations under gastroscopy has good ability in lesion detection and location recognition,and has great clinical application prospects.

Objective:To analyze the application value of MCV,MCH and HbA2 in screening for thalassemia in the population of childbearing age in Quanzhou area,and to determine the optimal screening cut-off value of relevant indicators in this area. Methods:2725 couples of childbearing age were included in the study and underwent routine blood test,capillary hemoglobin electrophoresis,and α and β thalassemia gene test. Statistical methods were used to analyze the distribution of thalassemia genotypes,and compare the performance of MCV,MCH,and HbA2 in screening various types of thalassemia. According to the ROC curve,the best cut-off values of MCV,MCH and HbA2 in screening for thalassemia in this area were determined. Results:In this study,a total of 1801 thalassemia carriers were detected,including 1341 cases of α-thalassemia,420 cases of β-thalassemia,and 40 cases of αβ compound thalassemia. The most common genotypes of α-thalassemia and β-thalassemia were--SEA/αα and β654/βN,respectively. ROC curves were drawn to evaluate the performance of MCV,MCH and HbA2 in screening for α-thalassemia,mild β-thalassemia,αβ compound thalassemia,silent α-thalassemia,mild α-thalassemia,and intermediate α-thalassemia. The maximum areas under the curves (AUC) were 0.747,0.865,0.724,0.486,0.812,0.841;0.747,0.846,0.703,0.479,0.796,0.903;0.613,0.980,0.909,0.465,0.674,0.996,respectively;and the best cut-off values corresponding to the three screening indicators were 76.15fl,71.95fl,77.35fl,86.15fl,75.41fl,61.15fl;24.35pg,21.51pg,25.45pg,28.65pg,24.01pg,20.51pg;2.45％,3.05％,3.55％,3.25％,2.45％,1.65％,respectively. Conclusion:The levels of MCV,MCH and HbA2 are correlated with the phenotype of thalassemia,and the detection of these indicators is of great significance for the prevention and control of thalassaemia.

Objective To investigate the prognostic value of M2 macrophage-related genes(MRG)in hepatitis B virus(HBV)-related hepatocellular carcinoma(HCC).Methods The transcriptome data of 73 patients with HBV-related HCC were obtained from TCGA database,and the MRG modules were identified by WGCNA.The MRG-based risk scoring model was constructed by LASSO regression analysis and validated using an external dataset.The correlation of the risk score with immune cell infiltration and drug sensitivity of HCC were analyzed with CIBERSORT and R.pRRophetic.The signaling pathways of the differential genes between the high-and low-risk groups were investigated using GSVA and GSEA enrichment analyses,and MRG expressions at the single cell level were validated using R.Seurat.The cell interaction intensity was analyzed by R.Cellchat to identify important cell types related to HCC progression.MRG expression levels were detected by RT-qPCR in THP-1 cells with HCC-conditioned medium-induced M2 polarization and in HBV-positive HCC cells.Results A high M2 macrophage infiltration level was significantly correlated with a poor prognosis of HCC,and 5 hub MRG(VTN,GCLC,PARVB,TRIM27,and GMPR)were identified.The overall survival of HCC patients was significantly lower in the high-risk than in the low-risk group.The high-and the low-risk groups showed significant enrichment of M2 macrophages and na?ve B cells,respectively,and were sensitive to BI.2536 and to AG.014699,AKT.inhibitor.Ⅷ,AZD.0530,AZD7762,and BMS.708163,respectively.The proliferation-related and metabolism-related pathways were enriched in the high-risk group,where monocytes showed the most active cell interactions during HCC progression.VTN was significantly upregulated in HCC cell lines,while GCLC,PARVB,TRIM27,and GMPR were upregulated in M2 THP-1 cells.Conclusion The MRG-based risk scoring model can accurately predict the prognosis of HBV-related HCC and reveal the differences in tumor microenvironment to guide precision treatment of the patients.

Objective:To analyze the factors affecting delayed chemotherapy in children with Burkitt lymphoma (BL) and their influence on prognosis.Methods:Retrospective cohort study. Clinical data of 591 children aged ≤18 years with BL from May 2017 to December 2022 in China Net Childhood Lymphoma (CNCL) was collected. The patients were treated according to the protocol CNCL-BL-2017. According to the clinical characteristics, therapeutic regimen was divided into group A, group B and group C .Based on whether the total chemotherapy time was delayed, patients were divided into two groups: the delayed chemotherapy group and the non-delayed chemotherapy group. Based on the total delayed time of chemotherapy, patients in group C were divided into non-delayed chemotherapy group, 1-7 days delayed group and more than 7 days delayed group. Relationships between delayed chemotherapy and gender, age, tumor lysis syndrome before chemotherapy, bone marrow involvement, disease group (B/C group), serum lactate dehydrogenase (LDH) > 4 times than normal, grade Ⅲ-Ⅳ myelosuppression after chemotherapy, minimal residual disease in the interim assessment, and severe infection (including severe pneumonia, sepsis, meningitis, chickenpox, etc.) were analyzed. Logistic analysis was used to identify the relevant factors. Kaplan-Meier method was used to analyze the patients' survival information. Log-Rank was used for comparison between groups.Results:Among 591 patients, 504 were males and 87 were females, the follow-up time was 34.8 (18.6,50.1) months. The 3-year overall survival (OS) rate was (92.5±1.1)%,and the 3-year event-free survival (EFS) rate was (90.5±1.2)%. Seventy-three (12.4%) patients were in delayed chemotherapy group and 518 (87.6%) patients were in non-delayed chemotherapy group. The reasons for chemotherapy delay included 72 cases (98.6%) of severe infection, 65 cases (89.0%) of bone marrow suppression, 35 cases (47.9%) of organ dysfunction, 22 cases (30.1%) of tumor lysis syndrome,etc. There were 7 cases of chemotherapy delay in group B, which were seen in COPADM (vincristine+cyclophosphamide+prednisone+daunorubicin+methotrexate+intrathecal injection,4 cases) and CYM (methotrexate+cytarabine+intrathecal injection,3 cases) stages. There were 66 cases of chemotherapy delay in group C, which were common in COPADM (28 cases) and CYVE 1 (low dose cytarabine+high dose cytarabine+etoposide+methotrexate, 12 cases) stages. Multinomial Logistic regression analysis showed that the age over 10 years old ( OR=0.54,95% CI 0.30-0.93), tumor lysis syndrome before chemotherapy ( OR=0.48,95% CI 0.27-0.84) and grade Ⅲ-Ⅳ myelosuppression after chemotherapy ( OR=0.55,95% CI 0.33-0.91)were independent risk factors for chemotherapy delay.The 3-year OS rate and the 3-year EFS rate of children with Burkitt lymphoma in the delayed chemotherapy group were lower than those in the non-delayed chemotherapy group ((79.4±4.9)% vs. (94.2±1.1)%, (80.2±4.8)% vs. (92.0±1.2)%,both P<0.05). The 3-year OS rate of the group C with chemotherapy delay >7 days (42 cases) was lower than that of the group with chemotherapy delay of 1-7 days (22 cases) and the non-delay group (399 cases) ((76.7±6.9)% vs. (81.8±8.2)% vs. (92.7±1.3)%, P=0.002).The 3-year OS rate of the chemotherapy delay group (9 cases) in the COP (vincristine+cyclophosphamide+prednisone) phase was lower than that of the non-chemotherapy delay group (454 cases) ((66.7±15.7)% vs. (91.3±1.4)%, P=0.005). Similarly, the 3-year OS rate of the chemotherapy delay group (11 cases) in the COPADM1 phase was lower than that of the non-chemotherapy delay group (452 cases) ((63.6±14.5)% vs. (91.5±1.3)%, P=0.001). Conclusions:The delayed chemotherapy was related to the age over 10 years old, tumor lysis syndrome before chemotherapy and grade Ⅲ-Ⅳ myelosuppression after chemotherapy in pediatric BL. There is a significant relationship between delayed chemotherapy and prognosis of BL in children.