4.Pathogens of first-episode pulmonary infection in 141 children with chronic granulomatous disease.
Hui LIU ; Shunying ZHAO ; Haiming YANG ; Jinrong LIU ; Hui XU ; Xiaolei TANG ; Yuelin SHEN ; Xiaoyan ZHANG ; Xiaohui WEN ; Yuhong ZHAO ; Ping CHU ; Huimin LI
Chinese Medical Journal 2024;137(4):502-504
5.Effect and mechanism of FAM83A gene knockdown on proliferation of colorectal cancer cells
Jingye LI ; Shuren CAO ; Jinrong XU ; Deliang MA ; Hongge WANG
Chinese Journal of Endocrine Surgery 2024;18(1):114-118
Objective:To explore the expression of family with sequence similarity 83 member A (FAM83A) in colorectal cancer, and the effect of FAM83A knockdown on the proliferation of colorectal cancer cells and the related mechanism.Methods:The expression of FAM83A in the tissues of 102 patients with colorectal cancer and its adjacent tissues was detected by immunohistochemistry. HCT116 cells were divided into experimental group and control group. The experimental group cells were transfected with FAM83A-siRNA plasmid, and the control group cells were transfected with MOCK-siRNA plasmid. The mRNA content of FAM83A in each group was detected by fluorescence quantitative PCR. The expressions of FAM83A, P13K, p-AKT and p-mTOR in each group were detected by Western blot. CCK8 assay and clonogenesis assay were used to detect cell proliferation.Results:The positive rate of FAM83A in colorectal cancer patients was 88.23% (90 cases /102 cases), and the expression rate of FAM83A in paracancer tissues was 10.78% (11 cases /102 cases). The expression rate of Fam83a in colorectal cancer tissues was significantly higher than that in paracancer tissues, with statistical significance ( P<0.001). After siRNA transfection, the mRNA expression levels of FAM83A in HCT116 cells of the experimental group and control group were 1.23±0.20 and 0.43±0.12, respectively, and the protein expression levels of FAM83A were 1.19±0.11 and 0.23±0.08, respectively. The expression levels of P13K were 1.21±0.17 and 0.28±0.09, the expression levels of p-AKT were 1.35±0.23 and 0.57±0.18, and the expression levels of p-mTOR were 1.48±0.20 and 1.05±0.14. The expression of P13K, p-Akt and p-mTOR was down-regulated (all P<0.05). The absorbance of HCT116 cells in the experimental group and the control group was 1.09±0.22 and 2.21±0.27, respectively. The cloning rate of HCT116 cells in the experimental group and the control group was 21.6%±2.4% and 62.7%±4.1%, respectively. The proliferation ability of HCT116 cells in the experimental group decreased significantly ( P<0.05) . Conclusions:The expression of FAM83A is significantly increased in colorectal cancer tissues, which may be related to the malignant degree of colorectal cancer. FAM83A affects the proliferation of colorectal cancer cells through the P13K/AKT/mTOR signaling pathway.
6.Biomechanical characteristics of the lower limbs of athletes after anterior cruciate ligament reconstruction during bilateral vertical jumping
Ling WANG ; Xia JIANG ; Peng CHEN ; Cheng ZHENG ; Jinrong XU
Chinese Journal of Tissue Engineering Research 2024;28(14):2215-2220
BACKGROUND:At present,postoperative timing or subjective criteria by clinicians are commonly employed to determine the return-to-sport timing for patients undergoing anterior cruciate ligament reconstruction.Unfortunately,these criteria do not adequately consider the biomechanical deficits in patients following anterior cruciate ligament reconstruction. OBJECTIVE:To explore the lower extremity kinematic and kinetic characteristics of athletes after anterior cruciate ligament reconstruction during bilateral vertical jumping. METHODS:Twenty athletes undergoing anterior cruciate ligament reconstruction and twenty healthy athletes,aged 20-24 years,were recruited in Wuhan Sports University from December 2021 to December 2022.All the 40 subjects underwent a bilateral vertical jumping test.The kinematic and dynamic characteristics of the lower limbs at propulsion phase,initial landing time and peak vertical ground reaction force moment. RESULTS AND CONCLUSION:At the initial landing time,the athletes undergoing anterior cruciate ligament reconstruction showed higher hip flexion angle(P=0.031)and lower ankle plantar flexion angle(P=0.018)on the operated side compared with the healthy athletes.At the peak vertical ground reaction force moment,the athletes undergoing anterior cruciate ligament reconstruction had higher hip flexion angle(P=0.016),lower hip abduction angle(P=0.019),lower knee flexion angle(P=0.025),higher knee external rotation angle(P=0.030),and higher ankle external rotation angle(P=0.042)on the operated side compared with the healthy athletes.At the peak vertical ground reaction force moment,the athletes undergoing anterior cruciate ligament reconstruction showed lower knee extension moment(P=0.036),lower knee internal rotation moment(P=0.016),lower hip abduction moment(P=0.004),higher hip extension moment(P=0.040),and higher hip external rotation moment(P=0.005)on the operated side compared with the healthy athletes.To conclude,the athletes undergoing anterior cruciate ligament reconstruction exhibit a stiff landing pattern,in which the knee load on the operated side tends to shift to the hip joint,and show inadequate control of lower limb rotational stability.Therefore,detection and correction of abnormal biomechanical characteristics should be part of the rehabilitation after anterior cruciate ligament reconstruction.
7.Experimental validation of machine learning identification of KDELR3 as a signature gene for osteoarthritis hypoxia
Wenfei XU ; Chunyu MING ; Qijie MEI ; Changshen YUAN ; Jinrong GUO ; Chao ZENG ; Kan DUAN
Chinese Journal of Tissue Engineering Research 2024;28(21):3431-3437
BACKGROUND:Hypoxia is strongly associated with the development and progression of osteoarthritic chondrocyte injury,but the specific targets and regulatory mechanisms are unclear. OBJECTIVE:A machine learning approach was used to identify KDEL(Lys-Asp-Glu-Leu)receptor 3(KDELR3)as a characteristic gene for osteoarthritis hypoxia and immune infiltration analysis,to provide new ideas and methods for the treatment of osteoarthritis. METHODS:The osteoarthritis-related datasets were downloaded from the GEO database and the GSEA website to obtain hypoxia-related genes.The osteoarthritis datasets were batch-corrected and immune infiltration analyzed using R language,and osteoarthritis hypoxia genes were extracted for differential analysis.Differentially expressed genes were analyzed for GO function and KEGG signaling pathway.Weighted correlation network analysis(WGCNA)and machine learning were also used to screen osteoarthritis hypoxia signature genes,and in vitro cellular experiments were performed to validate expression and correlate immune infiltration analysis using the datasets and qPCR. RESULTS AND CONCLUSION:(1)8492 osteoarthritis genes were obtained by batch correction and principal component analysis,mainly strongly associated with immune cells such as Macrophages M2 and Mast cells resting;200 hypoxia genes were also obtained,resulting in 41 osteoarthritis hypoxia differentially expressed genes.(2)GO analysis involved mainly biological processes such as response to nutrient levels and glucocorticoids;cellular components such as lysosomal lumen and Golgi lumen;and molecular functions such as 14-3-3 protein binding and DNA-binding transcriptional activator activity.(3)KEGG analysis of osteoarthritis hypoxia differentially expressed genes was associated with signaling pathways such as PI3K-Akt,FoxO,and microRNAs in cancer.(4)The characteristic gene KDELR3 was obtained after using WGCNA analysis and machine learning screening.(5)The gene expression of KDELR3 was found to be higher in the test group than in the control group in the synovium(P=0.014)but lower in the meniscus(P=0.024)after validation by gene microarray.(6)In vitro chondrocyte assay showed that the expression of KDELR3 was higher in cartilage than in the control group(P=0.005),while KDELR3 was closely associated with Macrophages M0(P=0.014)and T cells follicular helper(P=0.014).Using a machine learning approach,we confirmed that KDELR3 can be used as a hypoxic signature gene for osteoarthritis and may intervene in osteoarthritis pathogenesis by improving hypoxia,expecting to provide a new direction for better treatment of osteoarthritis.
8.Identification of ferroptosis signature genes in osteoarthritis based on WGCNA and machine learning and experimental validation
Wenfei XU ; Chunyu MING ; Kan DUAN ; Changshen YUAN ; Jinrong GUO ; Qi HU ; Chao ZENG ; Qijie MEI
Chinese Journal of Tissue Engineering Research 2024;28(30):4909-4914
BACKGROUND:Ferroptosis is strongly associated with the occurrence and progression of osteoarthritis,but the specific characteristic genes and regulatory mechanisms are not known. OBJECTIVE:To identify osteoarthritis ferroptosis signature genes and immune infiltration analysis using the WGCNA and various machine learning methods. METHODS:The osteoarthritis dataset was downloaded from the GEO database and ferroptosis-related genes were obtained from the FerrDb website.R language was used to batch correct the osteoarthritis dataset,extract osteoarthritis ferroptosis genes and perform differential analysis,analyze differentially expressed genes for GO function and KEGG signaling pathway.WGCNA analysis and machine learning(random forest,LASSO regression,and SVM-RFE analysis)were also used to screen osteoarthritis ferroptosis signature genes.The in vitro cell experiments were performed to divide chondrocytes into normal and osteoarthritis model groups.The dataset and qPCR were used to verify expression and correlate immune infiltration analysis. RESULTS AND CONCLUSION:(1)12 548 osteoarthritis genes were obtained by batch correction and PCA analysis,while 484 ferroptosis genes were obtained,resulting in 24 differentially expressed genes of osteoarthritis ferroptosis.(2)GO analysis mainly involved biological processes such as response to oxidative stress and response to organophosphorus,cellular components such as apical and apical plasma membranes,and molecular functions such as heme binding and tetrapyrrole binding.(3)KEGG analysis exhibited that differentially expressed genes of osteoarthritis ferroptosis were related to signaling pathways such as the interleukin 17 signaling pathway and tumor necrosis factor signaling pathway.(4)After using WGCNA analysis and machine learning screening,we obtained the characteristic gene KLF2.After validation by gene microarray,we found that the gene expression of KLF2 was higher in the test group than in the control group in the meniscus(P=0.000 14).(5)In vitro chondrocyte assay showed that type Ⅱ collagen and KLF2 expression was lower in the osteoarthritis group than in the control group in chondrocytes(P<0.05),while in osteoarthritis ferroptosis,mast cells activated was closely correlated with dendritic cells(r=0.99);KLF2 was closely correlated with natural killer cells(r=-1,P=0.017)and T cells follicular helper(r=-1,P=0.017).(6)The findings indicate that using WGCNA analysis and machine learning methods confirmed that KLF2 can be a characteristic gene for osteoarthritis ferroptosis and may improve osteoarthritis ferroptosis by interfering with KLF2.
9.Levels of Galectin-7 in serum and sputum in children with asthma
Yinglian XU ; Chuanhe LIU ; Jinrong LIU ; Jing TIAN ; Shunying ZHAO
Chinese Journal of Pediatrics 2024;62(6):542-547
Objective:To observe the expression of Galectin-7 in the serum and sputum of asthmatic children and to explore its significance in asthmatic children.Methods:The study prospectively case-control selected 183 children diagnosed with bronchial asthma at Department Ⅱ of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Beijing Children′s Hospital of Capital Medical University. The control group consisted of 41 children with other bronchial diseases and 43 healthy children. Children in the asthma group were divided into acute and non-acute exacerbation groups. Acute exacerbation group was divided as mild acute, moderate acute and severe acute groups; non-acute exacerbation group was divided as mild persistent, moderate persistent and severe persistent groups. Children without acute exacerbation asthma in the asthma group were divided into high and low Galectin-7 groups based on median serum Galectin-7 levels. Serum and sputum were collected, Galectin-7 levels were measured using enzyme-linked immunosorbent assay. The study compared and analyzed the differences in Galectin-7 levels between children with asthma and the control groups using Mann-Whitney U test or the Kruskal-Wallis or the Chi-square test for inter-group comparisons. Results:Among 183 children, 61 cases had acute asthma exacerbation, and 122 cases had persistent asthma without acute exacerbation. The asthma group comprised 110 males and 73 females. The control group consisted of 41 children with other bronchial diseases, including 24 cases of bronchiectasis and 17 cases of obliterans bronchitis. The control group comprised 26 males and 15 females. Forty-three healthy children who underwent physical examination, including 22 males and 21 females. The levels of Galectin-7 in serum were significantly higher in children with an acute asthma exacerbation than that of healthy children (0.1 (0, 0.7) vs. 0 (0, 0.2) μg/L, Z=2.09, P=0.001). Galectin-7 levels in sputum were higher in children with an acute asthma exacerbation than that in children with other bronchial diseases (1.2 (0.1,3.7) vs. 0.4 (0.1, 1.5) μg/L, Z=2.20, P<0.001). Serum Galectin-7 levels were significantly higher in children with persistent asthma compared to children with other bronchial diseases and healthy children (0.6 (0.3, 1.2) vs. 0.1 (0, 0.5) and 0 (0, 0.2) μg/L, Z=-6.12 ,-7.63, both P<0.001), and the levels were significantly and positively correlated with asthma severity ( r=0.77, P<0.001), disease duration ( r=0.34, P=0.001), and number of previous attacks ( r=0.51, P<0.001). There were 61 children in the high-Galectin-7 group and 61 children in the low-Galectin-7 group. Children with high Galectin-7 had more asthma triggers, a greater proportion with a positive family history, more previous asthma attacks, longer duration of asthma, and higher serum total IgE levels compared to those with low Galectin-7 ( χ2=9.30, 22.46, Z=5.06, 3.57, 2.31, all P<0.05). Conclusion:The expression of Galectin-7 is found to be elevated in the serum and sputum of asthmatic children and correlated with asthma conditions.
10.Clinical phenotyping of severe Mycoplasma pneumoniae pneumonia in children
Heng WANG ; Weihan XU ; Jinrong LIU ; Yun PENG ; Xiaoxia PENG ; Xiaohui WEN ; Xiaolei TANG ; Hui XU ; Hui LIU ; Yuelin SHEN ; Xiaoyan ZHANG ; Haiming YANG ; Yaguang PENG ; Huimin LI ; Shunying ZHAO
Chinese Journal of Pediatrics 2024;62(7):669-675
Objective:To investigate and summarize pediatric patients with severe Mycoplasma pneumoniae pneumonia (MPP) presenting with varied clinical and chest imaging features in order to guide the individualized treatment. Methods:This was a retrospective cohort study. Medical records of clinical, imaging and laboratory data of 505 patients with MPP who were admitted to the Department Ⅱ of Respirology Center, Beijing Children′s Hospital, Capital Medical University from January 2016 to October 2023 and met the enrollment criteria were included. They were divided into severe group and non-severe group according to whether lower airway obliterans was developed. The clinical and chest imaging features of the two groups were analyzed. Those severe cases with single lobe ≥2/3 consolidation (lobar consolidation) were further divided into subtype lung-necrosis and subtype non-lung-necrosis based on whether lung necrosis was developed. Comparison on the clinical manifestations, bronchoscopic findings, whole blood C-reactive protein (CRP) and other inflammatory indicators between the two subtypes was performed. Comparisons between two groups were achieved using independent-sample t-test, nonparametric test or chi-square test. Univariate receiver operating characteristic (ROC) curve analyses were performed on the indicators such as CRP of the two subtypes. Results:Of the 505 cases, 254 were male and 251 were female. The age of the onset was (8.2±2.9) years. There were 233 severe cases, among whom 206 were with lobar consolidation and 27 with diffuse bronchiolitis. The other 272 belonged to non-severe cases, with patchy, cloudy infiltrations or single lobe <2/3 uneven consolidation or localized bronchiolitis. Of the 206 cases (88.4%) severe cases with lobar consolidation, 88 harbored subtype lung-necrosis and 118 harbored subtype non-lung-necrosis. All 206 cases (100.0%) presented with persistent high fever, among whom 203 cases (98.5%) presented with inflammatory secretion obstruction and plastic bronchitis under bronchoscopy. Of those 88 cases with subtype lung-necrosis, there were 42 cases (47.7%) with dyspnea and 39 cases (44.3%) with moderate to massive amount of pleural effusion. There were 35 cases (39.8%) diagnosed with lung embolism during the disease course, of which other 34 cases (38.6%) were highly suspected. Extensive airway mucosal necrosis was observed in 46 cases (52.3%), and the level of their whole blood CRP was significantly higher than that of subtype non-lung-necrosis (131.5 (91.0, 180.0) vs. 25.5 (12.0, 43.1) mg/L, U=334.00, P<0.001). They were regarded as subtype "lung consolidation-atelectasis-necrosis". Of those 118 cases with subtype non-lung-necrosis, 27 cases (22.9%) presented with dyspnea and none were with moderate to massive amount of pleural effusion. Sixty-five cases (55.1%) presented with plastic bronchitis and localized airway mucosal necrosis was observed in 32 cases (27.1%). They were deemed as subtype "lung consolidation-atelectasis". ROC curve analyses revealed that whole blood CRP of 67.5 mg/L on the 6-10 th day of disease course exhibited a sensitivity of 0.96, a specificity of 0.89, and an area under the curve of 0.97 for distinguishing between these two subtypes among those with lobar consolidation. Conclusions:Pediatric patients with severe MPP present with lobar consolidation or diffuse bronchiolitis on chest imaging. Those with lobar consolidation harbor 2 subtypes as "lung consolidation-atelectasis-necrosis" and "lung consolidation-atelectasis". Whole blood CRP of 67.5 mg/L can be applied as an early discriminating indicator to discriminate between these two subtypes.

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