Objective:To evaluate the expression characteristics of the FBJ murine osteosarcoma viral oncogene homolog B(FOSB)gene in immunoglobulin A nephropathy(IgAN)and common chronic kidney diseases(CKDs),and to determine its value as a potential key candidate gene or biomarker.Methods:The RNA sequencing datasets for IgAN,diabetic kidney disease(DKD),membranous nephropathy(MN),and minimal change disease(MCD)glomerular samples were downloaded from the Gene Expression Omnibus(GEO)database.The feature genes for CKD were identified using machine learning methods including least absolute shrinkage and selection operator(LASSO)regression,random forest(RF),and support vector machine(SVM).Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analyses were performed on the identified IgAN feature genes.The"pROC"package was used to plot the receiver operating characteristic(ROC)curves to evaluate the diagnostic efficacy of IgAN feature genes.The gene with the highest diagnostic value was selected for Gene Set Enrichment Analysis(GSEA)and correlation analysis with core immune cells in IgAN.Clinical correlation analysis between the FOSB expression level in kidney tissue and renal function was performed using the Nephroseq v5 platform.Kidney tissue samples were collected from 5 cases of IgAN patients,DKD patients,MCD patients,and MN patients,respectively,along with 5 samples of adjacent normal kidney tissues(control group).Immunohistochemistry staining method was used to detect the expression levels of FOSB protein in tissue samples in various groups.Results:A total of 110 differentially expressed genes(DEGs)were identified in IgAN glomeruli,among which FOSB,NR4A2,and DUSP1 were identified as the feature genes.Compared with control group,the expression level of FOSB mRNA in IgAN group was significantly decreased(P＜0.05).The GO fuctional enrichment analysis results revealed that these IgAN feature genes were primarily enriched in biological processes related to dopamine biosynthesis,midbrain dopaminergic neuron differentiation,peptidyl-serine/threonine dephosphorylation,and response to corticosterone.The KEGG signaling pathway enrichment analysis results showed that the DEGs were significantly enriched in cocaine addiction,amphetamine addiction,interleukin 17(IL-17)signaling pathway,aldosterone synthesis and secretion,and serotonergic synapse.The ROC curve analysis results demonstrated that FOSB showed high diagnostic accuracy for IgAN.GSEA analysis revealed that arginine and proline metabolism,butyrate metabolism,erythroblastic leukemia viral oncogene homolog(ERBB)signaling pathway,mitogen-activated protein kinase(MAPK)signaling pathway,and fructose and mannose metabolism pathways were enriched in FOSB high-expression group,while allograft rejection,extracellular matrix receptor interaction,and type 1 diabetes pathways were significantly enriched in FOSB low-expression group.The immune cell infiltration analysis results identified natural killer cells,neutrophils,and M1 macrophages as core immune cells in IgAN,and the expression of FOSB gene was positively correlated with neutrophil infiltration(r=0.42,P＜0.05).The immunohistochemistry analysis results demonstrated that compared with control group,the expression level of FOSB protein in glomeruli of the patients in IgAN,DKD,MN,and MCD groups were significantly decreased(P＜0.05).Conclusion:The expressions of FOSB gene in the glomeruli tissue of IgAN,DKD,MN,and MCD patients ware decreased,suggesting FOSB may represent a potential biomarker for IgAN.

Objective:To evaluate the clinical application of urine sediment score (USS) in early diagnosis, etiological differentiation, staging and prognosis of acute kidney injury (AKI), and to investigate the diagnostic efficacy of independent USS and its combination with blood urea nitrogen(Bun) serum creatinine(sCr) and uric acid(UA) in AKI.Methods:From August 23 to September 28, 2023, 9 020 morning urine samples of hospitalized patients in the First Hospital of Jilin University were detected by Sysmex UF5000.A total of 3 226 ssamples with small and round cell (SRC) > 1/μl and/or CAST>1/μl were screened for microscopic examination, and 404 cases with positive renal tubular epithelial cells and/or cast were enrolled in this study. There were 218 males and 186 females, aged 59.5 (49.0, 71.0) years. The 404 cases were divided into the USS AKI group (345 cases) and the USS non-AKI group (59 cases) according to the USS results based on the microscopic findings. According to Kidney Disease: Improving Global Outcomes (KDIGO) criteria, they were divided into KDIGO criteria AKI group (63 cases) and KDIGO criteria non-AKI group (341 cases), and the AKI group was divided into renal AKI group (33 cases) and non-renal AKI group (30 cases). According to the clinical diagnosis recorded in the medical records, they were divided into clinically diagnosed AKI group (29 cases) and clinically diagnosed non-AKI group (375 cases).The χ 2 test or Fisher exact test was used to compare USS in different AKI causes and stages. Logistic regression was used to calculate the odds ratio of renal AKI and stage 3 AKI. The area under the receiver operating characteristic curve was used to evaluate the sensitivity and specificity of USS, sCr, UA and Bun alone and in combination in the diagnosis of AKI, and the best cut-off value, sensitivity and specificity in the diagnosis of AKI were calculated. P < 0.05 was considered statistically significant. Results:The USS was used to identify the etiology of KDIGO standard AKI group,and there were significant differences in USS between renal AKI group and non-renal AKI group (χ 2=11.070, P<0.001). Compared to USS=1, the odds ratio of renal AKI was 8.125 when USS≥2 (95% CI 2.208—29.901). There was a statistically significant difference in the comparison of USS between groups in each stage of the AKI staging study based on USS (χ 2=15.724, P<0.05). Compared to USS=1, the odds ratio of stage 3 AKI was 9.714 when USS≥2 (95% CI 1.145-82.390). The AUC of independent USS in the diagnosis of AKI was 0.687 (95% CI 0.618-0.757, P<0.001), the specificity was 65.7% and the sensitivity was 61.9%. The AUC of USS combined with Bun, sCr, UA in the diagnosis of AKI was 0.794 (95% CI 0.608-0.980, P<0.05), the specificity was 82.4%, and the sensitivity was 88.9%. Conclusions:There wasan increased likelihood of renal AKI or stage 3 AKI while USS≥2,and whose combination with Bun, sCr and UA will improve the diagnostic efficiency of AKI.

Objective To analyze and discuss the medication rule of professor Ruan Yan in the treatment of children with allergic rhinitis by using data mining method,and to provide reference for the clinical research and patented drugs development for the treatment of children with allergic rhinitis.Methods The outpatient medical records of professor Ruan Yan for the treatment of children with allergic rhinitis were collected.Microsoft Excel 2010 software was used for frequency statistics.SPSS Clementine 12.0 software was used for association rule analysis,cluster analysis and factor analysis to obtain the data.The frequency of use of various drugs and the association rules between drugs were obtained.Then the medication rules in professor Ruan Yan's prescription were analyzed.Results A total of 308 Chinese medicine compounds were included,involving 80 kinds of Chinese medicines,among which relieving drugs and qi-invigorating herbs were high-frequently used.The distribution of traditional Chinese medicine syndrome types was mainly characterized by lung-qi deficiency-cold syndrome and lung-spleen qi deficiency syndrome.The medicinal properties were mainly spicy,warm and sweet,and most of them belonged to the lung,spleen and stomach meridians.Five core prescriptions were extracted by factor analysis.Four drug combinations were obtained by systematic cluster analysis.Conclusion Ventilating lung and opening the orifices,expelling wind and removing cold,strengthening the spleen and replenishing qi are basic therapeutic principles for professor Ruan Yan in the treatment of children with allergic rhinitis.The treatment mainly focused on dispelling evil,ventilating lung and opening the orifices,expelling wind and removing cold during the acute stage of allergic rhinitis.In the remission period,according to the principle of"treating disease must be based on its origin",the treatment should enhance children's physical fitness,tonify lung and strengthen spleen,thereby reducing recurrence.

Objective To explore the relationships of serum Sestrin2 and Fetuin-A with disease outcome in patients with severe pulmonary tuberculosis. Methods A total of 108 patients with severe pulmonary tuberculosis admitted to our hospital from December 2020 to December 2022 were selected as study objects. Serum Sestrin2 and Fetuin-A levels were determined by enzyme-linked immunosorbent assay. According to 30 d disease outcomes, the patients in the study group were divided into death-disease group (22 cases) and survival group (86 cases). Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to analyze the predictive value of serum Sestrin2 and Fetuin-A levels in patients with severe pulmonary tuberculosis. The influencing factors of prognosis in patients with severe pulmonary tuberculosis were explored by multivariate Logistic regression. Results The serum Fetuin-A level in the survival group was higher than that in the death group, and the serum Sestrin2 level was lower than that in the death group (P < 0.05). The AUC (95%CI) of serum Sestrin2 and Fetuin-A were 0.752 (0.712 to 0.797) and 0.887 (0.842 to 0.937), respectively, with truncation values of 12.39 ng/mL and 350.67 μg/mL, the specificity of 55.64% and 65.57%, and the sensitivity of 92.73% and 92.73%. The AUC of the combined diagnosis was 0.920 (0.875 to 0.970), the specificity was 86.06%, and the sensitivity was 88.21%. The proportion of diabetes history in the death group was higher than that in the survival group, and peak expiratory flow (PEF), maximum mid-expiratory flow (MMEF), forced expiratory volume in the first second (FEV₁) and left ventricular ejection fraction (LVEF) were lower than those in the survival group(P < 0.05). Multiple Logistic regression analysis showed that LVEF≤50.00% (OR=3.777, 95%CI, 1.393 to 10.243), Fetuin-A < 350.67 μg/mL (OR=3.031, 95%CI, 1.943 to 4.730), Sestrin2≥12.39 ng/L (OR=5.709, 95%CI, 1.933 to 16.355) were the risk factors of the outcome of severe pulmonary tuberculosis(P < 0.05). Conclusion Serum Sestrin2 and Fetuin-A levels are closely related to the outcome of patients with severe pulmonary tuberculosis, and can be used as biological indicators to evaluate the outcome of severe pulmonary tuberculosis. The combined prediction has higher accuracy.

Humans ; Liver Neoplasms ; Carcinoma

Background: Pseudorabies (PR), caused by the pseudorabies virus (PRV), is an endemic disease in some regions of China. Although there are many reports on epidemiological investigations into pseudorabies, information on PRV gI antibody dynamics in one pig farm is sparse. Objectives: To diagnose PR and analyze the course of PR eradication in one pig farm. Methods: Ten brains and 1,513 serum samples from different groups of pigs in a pig farm were collected to detect PRV gE gene and PRV gI antibody presence using real-time polymerase chain reaction and enzyme-linked immunosorbent assay, respectively. Results: The July 2015 results indicated that almost all brain samples were PRV gE gene positive, but PRV gI antibody results in the serum samples of the same piglets were all negative.In the boar herd, from October 2015 to July 2018 three positive individuals were culled in October 2015, and the negative status of the remaining boars was maintained in the following tests. In the sow herd, the PRV gI antibody positive rate was always more than 70% from October 2015 to October 2017; however, it decreased to 27% in January 2018 but increased to 40% and 52% in April and July 2018, respectively. The PRV gI antibody positive rate in 100-day pigs markedly decreased in October 2016 and was maintained at less than 30% in the following tests. For 150-day pigs, the PRV gI antibody positive rate decreased notably to 10% in April 2017 and maintained a negative status from July 2017. The positive trend of PRV gI antibody with an increase in pig age remarkably decreased in three tests in 2018. Conclusions The results indicate that serological testing is not sensitive in the early stage of a PRV infection and that gilt introduction is a risk factor for a PRV-negative pig farm. The data on PRV gI antibody dynamics can provide reference information for pig farms wanting to eradicate PR.

Background: Pseudorabies (PR), caused by the pseudorabies virus (PRV), is an endemic disease in some regions of China. Although there are many reports on epidemiological investigations into pseudorabies, information on PRV gI antibody dynamics in one pig farm is sparse. Objectives: To diagnose PR and analyze the course of PR eradication in one pig farm. Methods: Ten brains and 1,513 serum samples from different groups of pigs in a pig farm were collected to detect PRV gE gene and PRV gI antibody presence using real-time polymerase chain reaction and enzyme-linked immunosorbent assay, respectively. Results: The July 2015 results indicated that almost all brain samples were PRV gE gene positive, but PRV gI antibody results in the serum samples of the same piglets were all negative.In the boar herd, from October 2015 to July 2018 three positive individuals were culled in October 2015, and the negative status of the remaining boars was maintained in the following tests. In the sow herd, the PRV gI antibody positive rate was always more than 70% from October 2015 to October 2017; however, it decreased to 27% in January 2018 but increased to 40% and 52% in April and July 2018, respectively. The PRV gI antibody positive rate in 100-day pigs markedly decreased in October 2016 and was maintained at less than 30% in the following tests. For 150-day pigs, the PRV gI antibody positive rate decreased notably to 10% in April 2017 and maintained a negative status from July 2017. The positive trend of PRV gI antibody with an increase in pig age remarkably decreased in three tests in 2018. Conclusions The results indicate that serological testing is not sensitive in the early stage of a PRV infection and that gilt introduction is a risk factor for a PRV-negative pig farm. The data on PRV gI antibody dynamics can provide reference information for pig farms wanting to eradicate PR.

Objective:To investigate the expression and clinical significance of serum response factor (SRF) and myosin heavy chain 9 (MYH9) in esophageal squamous cell carcinoma(ESCC).Methods:The clinical data of 113 patients with esophageal squamous cell carcinoma treated in Tangshan people′s Hospital from January 2014 to December 2016 were retrospectively analyzed.Immunohistochemical staining was used to detect the expression of SRF and MYH9 in esophageal squamous cell carcinoma and corresponding adjacent tissues, and the correlation between the differential expression of SRF and MYH9 and clinicopathological features was analyzed.Results:Immunohistochemical staining showed that the positive expression rate of SRF in esophageal squamous cell carcinoma was 42.48% (48/113), which was significantly higher than that of 6.25% (2/32) in adjacent tissues (χ 2=14.487, P<0.05). The positive expression rate of MYH9 was 57.52% (65/113), which was significantly higher than that of 25.00% (8/32) in adjacent tissues (χ 2=10.551, P<0.05). The expression levels of SRF and MYH9 were closely related to the differentiation, lymph node metastasis and TMN stage of ESCC (all P<0.05). The positive expression of SRF had a correlation with positive expression of MYH9( r=0.521, P<0.05). The median survival time of SRF and MYH9 double negative expression group, SRF and MYH9 single positive expression group, SRF and MYH9 double positive expression group were 30, 20 and 12 months respectively.There were significant differences between the double negative, single positive expression groups and double positive expression groups (χ 2 values were 43.855, 17.799, all P<0.001), but there was no significant difference between the double negative and single positive expression groups (χ 2=2.787, P=0.095). Conclusion:SRF and MYH9 may be one of potential targets for diagnosis and treatment of esophagus cancer.

Fibroblast growth factor 21 (FGF21) has been only reported to prevent type 1 diabetic nephropathy (DN) in the streptozotocin-induced type 1 diabetes mellitus (T1DM) mouse model. However, the FVB (Cg)-Tg (Cryaa-Tag, Ins2-CALM1) 26OVE/PneJ (OVE26) transgenic mouse is a widely recommended mouse model to recapture the most important features of T1DM nephropathy that often occurs in diabetic patients. In addition, most previous studies focused on exploring the preventive effect of FGF21 on the development of DN. However, in clinic, development of therapeutic strategy has much more realistic value compared with preventive strategy since the onset time of DN is difficult to be accurately predicted. Therefore, in the present study OVE26 mice were used to investigate the potential therapeutic effects of FGF21 on DN.

Objective: To establish a preoperative evaluation model and evaluate the accuracy of postoperative complications by analyzing the risk factors of postoperative complications in hip arthroplasty in elderly patients, and to provide a basis for grading nursing. Methods: From January 2012 to August 2018, 148 patients with elderly patients undergoing hip arthroplasty admitted to People′s hospital of Wanning were included in the study. Among them, 23 patients with postoperative complications were included as complications and 125 patients without complications served as a control group. Univariate analysis of the factors associated with complications, statistically significant indicators were included in the multivariate logistic regression model, and the risk factors for postoperative complications in hip arthroplasty were analyzed. Based on the results of the regression analysis, a preoperative evaluation model was established. The ROC curve and the Hosmer-Lemeshow test were used to evaluate the model prediction performance. Results: Multivariate analysis showed age (OR=1.239, 95%CI: 1.002-1.531, P=0.048), Glu (OR=2.961, 95%CI: 1.055-8.311, P=0.039), surgical size (OR=4.997, 95%CI: 1.269-19.686, P=0.021) were risk factors for postoperative complications, Albumin (OR=0.696, 95%CI: 0.535-0.904, P=0.007) was a protective factor for postoperative complications (P<0.05). The ROC curve showed a nomogram model predicting the area under the complication curve (AUC) of 0.988 (95%CI:0.975-1.000), with a specificity of 96.77% and a sensitivity of 99.82%. Conclusion A nomogram model based on age, Glu, albumin, surgery size to predict the risk of complications after hip arthroplasty in elderly patients has a good specificity and sensitivity, high clinical value.